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47 ud af 47 tidsskrifter valgt, søgeord (covid-19) valgt, emner højest 180 dage gamle, sorteret efter nyeste først.
1134 emner vises.
BMC Infectious Diseases, 20.02.2024
Tilføjet 20.02.2024
Abstract Background Application of accumulated experience and management measures in the prevention and control of coronavirus disease 2019 (COVID-19) has generally depended on the subjective judgment of epidemic intensity, with the quality of prevention and control management being uneven. The present study was designed to develop a novel risk management system for COVID-19 infection in outpatients, with the ability to provide accurate and hierarchical control based on estimated risk of infection. Methods Infection risk was estimated using an auto regressive integrated moving average model (ARIMA). Weekly surveillance data on influenza-like-illness (ILI) among outpatients at Xuanwu Hospital Capital Medical University and Baidu search data downloaded from the Baidu Index in 2021 and 22 were used to fit the ARIMA model. The ability of this model to estimate infection risk was evaluated by determining the mean absolute percentage error (MAPE), with a Delphi process used to build consensus on hierarchical infection control measures. COVID-19 control measures were selected by reviewing published regulations, papers and guidelines. Recommendations for surface sterilization and personal protection were determined for low and high risk periods, with these recommendations implemented based on predicted results. Results The ARIMA model produced exact estimates for both the ILI and search engine data. The MAPEs of 20-week rolling forecasts for these datasets were 13.65% and 8.04%, respectively. Based on these two risk levels, the hierarchical infection prevention methods provided guidelines for personal protection and disinfection. Criteria were also established for upgrading or downgrading infection prevention strategies based on ARIMA results. Conclusion These innovative methods, along with the ARIMA model, showed efficient infection protection for healthcare workers in close contact with COVID-19 infected patients, saving nearly 41% of the cost of maintaining high-level infection prevention measures and enhancing control of respiratory infections.
Læs mere Tjek på PubMedBMC Infectious Diseases, 20.02.2024
Tilføjet 20.02.2024
Abstract The coronavirus disease of 2019 (COVID-19) resulted from an infection by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) which is the main cause of acute respiratory distress syndrome (ARDS) in global population from 2019 on. It may contribute to higher rate of death among the patients with immunodeficiency based on recent reports. In addition, Good syndrome (GS) as a result of thymoma removal might cause in some long-lasting microbial infections. We described clinical aspects and viral mutations on a case of GS suffering from COVID-19. A 46-year-old man with fever, common respiratory disease symptoms and positive COVID-19 polymerase chain reaction (PCR) test, with the history of thymoma removal surgery was admitted to Masih Daneshvari Hospital, Tehran, Iran. Lung radiographs and oxygen saturation measurement disclosed considerable implication resulted in application of several anti-microbial medication. The delta variant (B.1.617.2 (21 J Clade)) was the strain isolated from the patient by sequencing methods done by the COVID-19 National Reference Laboratory (CNRL), Pasteur Institute of Iran, while the dominant strain circulated mostly among population was Omicron (B.1.1.529) at the time of sampling. Unfortunately, the patient had passed away a month later by sudden respiratory failure progressed in refractory septic shock. Despite the fact that opportunistic infections may lead the GS patients to a major health problematic condition, unusual persistent of infections such as non-dominant variant of SARS-Cov-2 could be observed through the disease timeline. Therefore, a fully screening of thymoma plus intra-host evolution monitoring of SARS-CoV-2 is highly recommended in immunocompromised patients.
Læs mere Tjek på PubMedTadayoshi Ikebe, Rumi Okuno, Yumi Uchitani, Takahiro Yamaguchi, Junko Isobe, Emi Maenishi, Yoshimi Date, Hitoshi Otsuka, Yu Kazawa, Shohei Fujita, Ayaka Kobayashi, Mami Takano, Shinya Tsukamoto, Yoshiko Kanda, Makoto Ohnishi, Yukihiro Akeda, The Working Group for Beta-Hemolytic Streptococci in Japan
International Journal of Infectious Diseases, 19.02.2024
Tilføjet 19.02.2024
Group A Streptococcus (GAS, Streptococcus pyogenes) strains cause pharyngitis, tonsillitis, skin and soft tissue infections, bacteremia, and scarlet fever. Since the late 1980s, streptococcal toxic shock syndrome (STSS) caused by GAS infection has been a major health problem in several countries [1–5]. The characteristic symptoms progress rapidly and are fulminant from disease onset. Patients can develop necrotizing fasciitis, acute kidney failure, acute respiratory distress syndrome, disseminated intravascular coagulopathy, and multi-organ failure within a few hours of disease onset, leading to shock and even death.
Læs mere Tjek på PubMedClinical Infectious Diseases, 19.02.2024
Tilføjet 19.02.2024
Abstract Background Protein-based vaccines for COVID-19 provide a traditional vaccine platform with long-lasting protection for non-SARS-CoV-2 pathogens and may complement messenger RNA vaccines as a booster dose. While NVX-CoV2373 showed substantial early efficacy, the durability of protection has not been delineated.Methods The PREVENT-19 vaccine trial employed a blinded crossover design; the original placebo arm received NVX-CoV2373 after efficacy was established. Using novel statistical methods that integrate surveillance data of circulating strains with post-crossover cases, we estimated placebo-controlled vaccine efficacy and durability of NVX-CoV2373 against both pre-Delta and Delta strains of SARS-CoV-2.Results Vaccine efficacy against pre-Delta strains of COVID-19 was 89% (95% CI: 75%, 95%) and 87% (72%, 94%) at 0 and 90 days after 2 doses of NVX-CoV2373, respectively, with no evidence of waning (p=0.93). Vaccine efficacy against the Delta strain was 88% (71%, 95%), 82% (56%, 92%), and 77% (44%, 90%) at 40, 120, and 180 days, respectively, with evidence of waning (p
Læs mere Tjek på PubMedInfection, 18.02.2024
Tilføjet 18.02.2024
Abstract Purpose In late 2022, a surge of severe S. pyogenes infections was reported in several European countries. This study assessed hospitalizations and disease severity of community-acquired bacterial infections with S. pyogenes, S. pneumoniae, N. meningitidis, and H. influenzae among children in North Rhine-Westphalia (NRW), Germany, during the last quarter of 2022 compared to long-term incidences. Methods Hospital cases due to bacterial infections between October and December 2022 were collected in a multicenter study (MC) from 59/62 (95%) children\'s hospitals in NRW and combined with surveillance data (2016–2023) from the national reference laboratories for streptococci, N. meningitidis, and H. influenzae. Overall and pathogen-specific incidence rates (IR) from January 2016 to March 2023 were estimated via capture–recapture analyses. Expected annual deaths from the studied pathogens were calculated from national death cause statistics. Results In the MC study, 153 cases with high overall disease severity were reported with pneumonia being most common (59%, n = 91). IRs of bacterial infections declined at the beginning of the COVID-19 pandemic and massively surged to unprecedented levels in late 2022 and early 2023 (overall hospitalizations 3.5-fold), with S. pyogenes and S. pneumoniae as main drivers (18-fold and threefold). Observed deaths during the study period exceeded the expected number for the entire year in NRW by far (7 vs. 0.9). Discussion The unprecedented peak of bacterial infections and deaths in late 2022 and early 2023 was caused mainly by S. pyogenes and S. pneumoniae. Improved precautionary measures are needed to attenuate future outbreaks.
Læs mere Tjek på PubMedInfection, 17.02.2024
Tilføjet 17.02.2024
Abstract Purpose In late 2022, a surge of severe S. pyogenes infections was reported in several European countries. This study assessed hospitalizations and disease severity of community-acquired bacterial infections with S. pyogenes, S. pneumoniae, N. meningitidis, and H. influenzae among children in North Rhine-Westphalia (NRW), Germany, during the last quarter of 2022 compared to long-term incidences. Methods Hospital cases due to bacterial infections between October and December 2022 were collected in a multicenter study (MC) from 59/62 (95%) children\'s hospitals in NRW and combined with surveillance data (2016–2023) from the national reference laboratories for streptococci, N. meningitidis, and H. influenzae. Overall and pathogen-specific incidence rates (IR) from January 2016 to March 2023 were estimated via capture–recapture analyses. Expected annual deaths from the studied pathogens were calculated from national death cause statistics. Results In the MC study, 153 cases with high overall disease severity were reported with pneumonia being most common (59%, n = 91). IRs of bacterial infections declined at the beginning of the COVID-19 pandemic and massively surged to unprecedented levels in late 2022 and early 2023 (overall hospitalizations 3.5-fold), with S. pyogenes and S. pneumoniae as main drivers (18-fold and threefold). Observed deaths during the study period exceeded the expected number for the entire year in NRW by far (7 vs. 0.9). Discussion The unprecedented peak of bacterial infections and deaths in late 2022 and early 2023 was caused mainly by S. pyogenes and S. pneumoniae. Improved precautionary measures are needed to attenuate future outbreaks.
Læs mere Tjek på PubMedWang, B., Andraweera, P., Danchin, M., Blyth, C. C., Vlaev, I., Ong, J., Dodd, J. M., Couper, J., Sullivan, T. R., Karnon, J., Spurrier, N., Cusack, M., Mordaunt, D., Simatos, D., Dekker, G., Carlson, S., Tuckerman, J., Wood, N., Whop, L. J., Marshall, H.
BMJ Open, 17.02.2024
Tilføjet 17.02.2024
IntroductionChildren with chronic medical diseases are at an unacceptable risk of hospitalisation and death from influenza and SARS-CoV-2 infections. Over the past two decades, behavioural scientists have learnt how to design non-coercive ‘nudge’ interventions to encourage positive health behaviours. Our study aims to evaluate the impact of multicomponent nudge interventions on the uptake of COVID-19 and influenza vaccines in medically at-risk children. Methods and analysesTwo separate randomised controlled trials (RCTs), each with 1038 children, will enrol a total of approximately 2076 children with chronic medical conditions who are attending tertiary hospitals in South Australia, Western Australia and Victoria. Participants will be randomly assigned (1:1) to the standard care or intervention group. The nudge intervention in each RCT will consist of three text message reminders with four behavioural nudges including (1) social norm messages, (2) different messengers through links to short educational videos from a paediatrician, medically at-risk child and parent and nurse, (3) a pledge to have their child or themselves vaccinated and (4) information salience through links to the current guidelines and vaccine safety information. The primary outcome is the proportion of medically at-risk children who receive at least one dose of vaccine within 3 months of randomisation. Logistic regression analysis will be performed to determine the effect of the intervention on the probability of vaccination uptake. Ethics and disseminationThe protocol and study documents have been reviewed and approved by the Women’s and Children’s Health Network Human Research Ethics Committee (HREC/22/WCHN/2022/00082). The results will be published via peer-reviewed journals and presented at scientific meetings and public forums. Trial registration numberNCT05613751.
Læs mere Tjek på PubMedYang, Z., Jin, Y., Wang, M., Li, R., Li, W.-Q., Li, H.
BMJ Open, 17.02.2024
Tilføjet 17.02.2024
ObjectivesThe personalised treatment demands of patients with psoriasis did not get significant attention during the pandemic lockdown. This study aimed to investigate the treatment demands of patients with psoriasis with different severities, stratified by COVID-19 pandemic conditions. DesignCross-sectional study design. SettingMulticentre study based on a national psoriasis registry in China. ParticipantsA total of 22 425 adult patients with psoriasis were enrolled between August 2020 and September 2021. Primary and secondary outcome measuresThe primary outcomes were patient demands for quick healing of skin lesions and improving mental health, which were collected by questionnaires. Multivariable logistic models were used to examine the impact of disease severity, as measured by Psoriasis Area and Severity Index (PASI), body surface area (BSA) and Investigator’s Global Assessment (IGA), on treatment demands, as stratified by COVID-19 pandemic conditions (lockdown vs non-lockdown). ResultsIncreasing PASI score significantly increased patient demands for rapid healing of skin lesions and improving mental health during non-lockdown periods. The magnitude of both associations further increased during the COVID-19 lockdown from an OR of 1.45 (95% CI 1.27 to 1.65) to 2.19 (95% CI 1.57 to 3.05) and 2.21 (95% CI 2.03 to 2.40) to 2.82 (95% CI 2.24 to 3.55), respectively. The skin lesion healing demand was more triggered by the overall irritation level (measured by IGA, OR 1.64, 95% CI 1.35 to 1.99 during non-lockdown periods vs OR 2.70, 95% CI 1.63 to 4.49 during lockdowns), while the mental health improving demand was more triggered by lesion coverage (measured by BSA, OR 2.01, 95% CI 1.85 to 2.19 vs OR 3.27, 95% CI 2.57 to 4.15). ConclusionsPsoriasis aggravation significantly increased patients’ treatment demands, especially during lockdowns. The used psoriasis severity measures highlighted patients’ treatment demands differently. This suggests more accessible and personalised healthcare for patients with psoriasis should be available during future pandemics.
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
BMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background Fear of a global public health issue and fresh infection wave in the persistent COVID-19 pandemic has been enflamed by the appearance of the novel variant Omicron BF.7 lineage. Recently, it has been seeing the novel Omicron subtype BF.7 lineage has sprawled exponentially in Hohhot. More than anything, risk stratification is significant to ascertain patients infected with COVID-19 who the most need in-hospital or in-home management. The study intends to understand the clinical severity and epidemiological characteristics of COVID-19 Omicron subvariant BF.7. lineage via gathering and analyzing the cases with Omicron subvariant in Hohhot, Inner Mongolia. Methods Based upon this, we linked variant Omicron BF.7 individual-level information including sex, age, symptom, underlying conditions and vaccination record. Further, we divided the cases into various groups and assessed the severity of patients according to the symptoms of patients with COVID-19. Clinical indicators and data might help to predict disadvantage outcomes and progression among Omicron BF.7 patients. Results In this study, in patients with severe symptoms, some indicators from real world data such as white blood cells, AST, ALT and CRE in patients with Omicron BF.7 in severe symptoms were significantly higher than mild and asymptomatic patients, while some indicators were significantly lower. Conclusions Above results suggested that the indicators were associated with ponderance of clinical symptoms. Our survey emphasized the value of timely investigations of clinical data obtained by systemic study to acquire detailed information.
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background Recurring COVID-19 waves highlight the need for tools able to quantify transmission risk, and identify geographical areas at risk of outbreaks. Local outbreak risk depends on complex immunity patterns resulting from previous infections, vaccination, waning and immune escape, alongside other factors (population density, social contact patterns). Immunity patterns are spatially and demographically heterogeneous, and are challenging to capture in country-level forecast models. Methods We used a spatiotemporal regression model to forecast subnational case and death counts and applied it to three EU countries as test cases: France, Czechia, and Italy. Cases in local regions arise from importations or local transmission. Our model produces age-stratified forecasts given age-stratified data, and links reported case counts to routinely collected covariates (e.g. test number, vaccine coverage). We assessed the predictive performance of our model up to four weeks ahead using proper scoring rules and compared it to the European COVID-19 Forecast Hub ensemble model. Using simulations, we evaluated the impact of variations in transmission on the forecasts. We developed an open-source RShiny App to visualise the forecasts and scenarios. Results At a national level, the median relative difference between our median weekly case forecasts and the data up to four weeks ahead was 25% (IQR: 12–50%) over the prediction period. The accuracy decreased as the forecast horizon increased (on average 24% increase in the median ranked probability score per added week), while the accuracy of death forecasts was more stable. Beyond two weeks, the model generated a narrow range of likely transmission dynamics. The median national case forecasts showed similar accuracy to forecasts from the European COVID-19 Forecast Hub ensemble model, but the prediction interval was narrower in our model. Generating forecasts under alternative transmission scenarios was therefore key to capturing the range of possible short-term transmission dynamics. Discussion Our model captures changes in local COVID-19 outbreak dynamics, and enables quantification of short-term transmission risk at a subnational level. The outputs of the model improve our ability to identify areas where outbreaks are most likely, and are available to a wide range of public health professionals through the Shiny App we developed.
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed the effects of different optimal resource allocations on epidemic control. Methods A systematic literature search was conducted of CNKI, WanFang, VIP, CBD, PubMed, Web of Science, Scopus and Embase for articles published from January 1, 2019, through November 23, 2023. Two reviewers independently evaluated the quality of the included studies, extracted and cross-checked the data. Moreover, publication bias and sensitivity analysis were evaluated. Results A total of 22 articles were included for systematic review; in the application of optimal allocation models, 59.09% of the studies used propagation dynamics models to simulate the allocation of various resources, and some scholars also used mathematical optimization functions (36.36%) and machine learning algorithms (31.82%) to solve the problem of resource allocation; the results of the systematic review show that differential equation modeling was more considered when testing resources optimization, the optimization function or machine learning algorithm were mostly used to optimize the bed resources; the meta-analysis results showed that the epidemic trend was obviously effectively controlled through the optimal allocation of resources, and the average control efficiency was 0.38(95%CI 0.25–0.51); Subgroup analysis revealed that the average control efficiency from high to low was health specialists 0.48(95%CI 0.37–0.59), vaccines 0.47(95%CI 0.11–0.82), testing 0.38(95%CI 0.19–0.57), personal protective equipment (PPE) 0.38(95%CI 0.06–0.70), beds 0.34(95%CI 0.14–0.53), medicines and equipment for treatment 0.32(95%CI 0.12–0.51); Funnel plots and Egger’s test showed no publication bias, and sensitivity analysis suggested robust results. Conclusion When the data are insufficient and the simulation time is short, the researchers mostly use the constructor for research; When the data are relatively sufficient and the simulation time is long, researchers choose differential equations or machine learning algorithms for research. In addition, our study showed that control efficiency is an important indicator to evaluate the effectiveness of epidemic prevention and control. Through the optimization of medical staff and vaccine allocation, greater prevention and control effects can be achieved.
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
BMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background Coronavirus disease 2019 (COVID-19) is an evolving global pandemic, and nanobodies, as well as other single-domain antibodies (sdAbs), have been recognized as a potential diagnostic and therapeutic tool for infectious diseases. High-throughput screening techniques such as phage display have been developed as an alternative to in vivo immunization for the discovery of antibody-like target-specific binders. Methods We designed and constructed a highly diverse synthetic phage library sdAb-U (single-domain Antibody - Universal library ) based on a human framework. The SARS-CoV-2 receptor-binding domain (RBD) was expressed and purified. The universal library sdAb-U was panned against the RBD protein target for two rounds, followed by monoclonal phage ELISA (enzyme-linked immunosorbent assay) to identify RBD-specific binders (the first stage). High-affinity binders were sequenced and the obtained CDR1 and CDR2 sequences were combined with fully randomized CDR3 to construct a targeted (focused) phage library sdAb-RBD, for subsequent second-stage phage panning (also two rounds) and screening. Then, sequences with high single-to-background ratios in phage ELISA were selected for expression. The binding affinities of sdAbs to RBD were measured by an ELISA-based method. In addition, we conducted competition ELISA (using ACE2 ectodomain S19-D615) and SARS-CoV-2 pseudovirus neutralization assays for the high-affinity RBD-binding sdAb39. Results Significant enrichments were observed in both the first-stage (universal library) and the second-stage (focused library) phage panning. Five RBD-specific binders were identified in the first stage with high ELISA signal-to-background ratios. In the second stage, we observed a much higher possibility of finding RBD-specific clones in phage ELISA. Among 45 selected RBD-positive sequences, we found eight sdAbs can be well expressed, and five of them show high-affinity to RBD (EC50
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background Omicron has become the dominant variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since first reported in November 2021. From the initially detected Wuhan lineage, sublineages BA.2, BA.4, BA.5, BQ, XAG, and XBB have emerged over time and are dominant in many countries. Therefore, the aim is to evaluate which variants are circulating and the clinical characteristics of inpatients infected with the Omicron variant. Methods This retrospective cohort study selected hospitalized patients admitted with respiratory symptoms to a hospital in the state of Rio Grande do Sul, Brazil, between June and July 2022. SARS-CoV-2 results were analyzed together with clinical outcomes and vaccination status. A viral genome library was prepared and forwarded to the Illumina MiSeq Platform for sequencing. Results In total, 37 genomes were sequenced. Concerning the Omicron sublineages, our study detected: BA.1 (21 K), BA.2 (21 L), BA.4 (22A), BA.5 (22B), BA.2.12.1 (22C), BQ.1 (22E), XBB (22F), and XAG recombinant. Omicron BA.5 (30%), BA.2 (19%), and BQ.1 (19%) were the most frequent sublineages, respectively. In total, 38% of patients present hypertension, and the most common symptoms were coughing (62%). Analyzing the COVID-19 vaccination, 30% of patients were fully vaccinated, 49% had a partial vaccination status, and 21% were unvaccinated (no dose). Conclusions BA.5 was the most prevalent sublineage in our study and surpassed the predominance of BA.2, as reported by the national genomic surveillance program. BQ.1 was diagnosed earlier in this study than it was officially reported in the state. Current data have demonstrated that the Omicron variant causes less severe infections, with the high rate of transmissibility and mutational landscape causing the rapid emergence of new sublineages.
Læs mere Tjek på PubMedBMC Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Abstract Background Dexamethasone usually recommended for patients with severe coronavirus disease 2019 (COVID-19) to reduce short-term mortality. However, it is uncertain if another corticosteroid, such as methylprednisolone, may be utilized to obtain better clinical outcome. This study assessed dexamethasone’s clinical and safety outcomes compared to methylprednisolone. Methods A multicenter, retrospective cohort study was conducted between March 01, 2020, and July 31, 2021. It included adult COVID-19 patients who were initiated on either dexamethasone or methylprednisolone therapy within 24 h of intensive care unit (ICU) admission. The primary outcome was the progression of multiple organ dysfunction score (MODS) on day three of ICU admission. Propensity score (PS) matching was used (1:3 ratio) based on the patient’s age and MODS within 24 h of ICU admission. Results After Propensity Score (PS) matching, 264 patients were included; 198 received dexamethasone, while 66 patients received methylprednisolone within 24 h of ICU admission. In regression analysis, patients who received methylprednisolone had a higher MODS on day three of ICU admission than those who received dexamethasone (beta coefficient: 0.17 (95% CI 0.02, 0.32), P = 0.03). Moreover, hospital-acquired infection was higher in the methylprednisolone group (OR 2.17, 95% CI 1.01, 4.66; p = 0.04). On the other hand, the 30-day and the in-hospital mortality were not statistically significant different between the two groups. Conclusion Dexamethasone showed a lower MODS on day three of ICU admission compared to methylprednisolone, with no statistically significant difference in mortality.
Læs mere Tjek på PubMedNatalie M. KirkYuying LiangHinh LyDepartment of Veterinary & Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, USA
Virulence, 17.02.2024
Tilføjet 17.02.2024
Clinical Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Clinical Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
Masaki Takebayashi, Mira Namba, Yudai Kaneda, Tatsuya Koyama, Soichiro Miyashita, Kurenai Takebayashi, Motoki Ohnishi
PLoS One Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
by Masaki Takebayashi, Mira Namba, Yudai Kaneda, Tatsuya Koyama, Soichiro Miyashita, Kurenai Takebayashi, Motoki Ohnishi While vaccines are pivotal in combating COVID-19, concerns about side effects and complex procedures have hindered complete vaccination. Prior studies suggest that individuals defaulted to opt-out exhibit higher COVID-19 vaccination rates compared to those in opt-in systems. However, these studies were conducted in countries with a tolerant attitude towards vaccination and default changes, targeting specific age groups, and did not address potential deterrents like the increase in cancellation rates on the day, discomfort towards changing defaults, or the possibility of the opt-out effect being a one-time occurrence. Under the hypothesis that the default nature of the COVID-19 vaccination system influences attitudes towards vaccination even in countries conservative about vaccination and default changes like in Japan, we aimed to examine the differences in the first and second dose vaccination rates, cancellation rates, and the number of complaints between the opt-in and opt-out systems for COVID-19 vaccination. An email survey was conducted in 10 cities in A Prefecture, Japan. The results showed not only higher COVID-19 vaccination rates across all comparable age groups in the opt-out group but also a notably smaller decrease in the second-dose vaccination rate compared to the opt-in group, all achieved without any complaints about the system’s introduction. Consequently, it can be inferred that the potential inhibiting factors were largely overcome. Despite some limitations, such as regional specificity, the study suggests that opt-out systems might increase COVID-19 vaccination coverage without leading to significant cancellations or complaints, presenting a promising strategy to facilitate vaccination efforts.
Læs mere Tjek på PubMedVictoria Weise, Felicitas Güttner, Andreas Staudt, Judith T. Mack, Susan Garthus-Niegel
PLoS One Infectious Diseases, 17.02.2024
Tilføjet 17.02.2024
by Victoria Weise, Felicitas Güttner, Andreas Staudt, Judith T. Mack, Susan Garthus-Niegel With the onset of the COVID-19 pandemic, parents had to reorganize their family routines under many external stressors (e.g., limited external childcare), which could have negatively affected their relationship satisfaction. This study aimed to examine the changes in relationship satisfaction of young parents from pre-pandemic times up to the second wave of the COVID-19 pandemic in Germany in December 2020 and whether these changes were different for mothers and fathers. Additionally, the role of perceived pandemic-related stress and changes in family routines was investigated. Data from 564 participants from DREAMCORONA, a sub-study of the prospective longitudinal cohort study “Dresden Study on Parenting, Work, and Mental Health” (DREAM), were analyzed. Relationship satisfaction was assessed at three measurement points (T0: pre-pandemic, i.e., August 2018–March 2020; T1: May–June 2020; T2: October–December 2020). To estimate changes in relationship satisfaction over time, Latent Growth Curve Models were calculated. Changes in family routines (i.e., changes in the division of housework and childcare from T0 to T1 as well as the availability of external childcare facilities at T1) and perceived pandemic-related stress at T1 were used as predictors. The models were adjusted for education and number of children per household. There was no significant change in relationship satisfaction over time, with no differences between mothers and fathers. The multi-group model revealed that changes in the division of housework and childcare predicted changes in relationship satisfaction in mothers, but not in fathers. For mothers, doing more housework than before the pandemic was negatively associated with changes in their relationship satisfaction over time. Additionally, reporting that their partner did more childcare than before the pandemic was positively associated with the relationship satisfaction of mothers. Our results indicate no general negative prospective association between the COVID-19 pandemic and parental relationship satisfaction over time. Nevertheless, our findings highlight the importance of the division of housework and childcare for mothers’ relationship satisfaction and how pandemic-related changes in family routines alter this association.
Læs mere Tjek på PubMedBlegen, M. B., Rook, J. M., Jackson, N. J., Maggard-Gibbons, M., Li, R., Russell, M. M., Russell, T. A., de Virgilio, C., Tsugawa, Y.
BMJ Open, 16.02.2024
Tilføjet 16.02.2024
ObjectivesTo examine changes in the 30-day surgical mortality rate after common surgical procedures during the COVID-19 pandemic and investigate whether its impact varies by urgency of surgery or patient race, ethnicity and socioeconomic status. DesignWe used a quasi-experimental event study design to examine the effect of the COVID-19 pandemic on surgical mortality rate, using patients who received the same procedure in the prepandemic years (2016–2019) as the control, adjusting for patient characteristics and hospital fixed effects (effectively comparing patients treated at the same hospital). We conducted stratified analyses by procedure urgency, patient race, ethnicity and socioeconomic status (dual-Medicaid status and median household income). SettingAcute care hospitals in the USA. ParticipantsMedicare fee-for-service beneficiaries aged 65–99 years who underwent one of 14 common surgical procedures from 1 January 2016 to 31 December 2020. Main outcome measures30-day postoperative mortality rate. ResultsOur sample included 3 620 689 patients. Surgical mortality was higher during the pandemic, with peak mortality observed in April 2020 (adjusted risk difference (aRD) +0.95 percentage points (pp); 95% CI +0.76 to +1.26 pp; p
Læs mere Tjek på PubMedTimothy Jesudason
Lancet Infectious Diseases, 16.02.2024
Tilføjet 16.02.2024
COVAX, the vaccine pillar of the Access to COVID-19 Tools Accelerator, officially closed on Dec 31, 2023, having delivered 2 billion doses of COVID-19 vaccines. Timothy Jesudason reports.
Læs mere Tjek på PubMedInfection, 16.02.2024
Tilføjet 16.02.2024
Abstract Introduction SARS-CoV-2 infection causes severe endothelial damage, an essential step for cardiovascular complications. Endothelial-colony forming cells (ECFCs) act as a biomarker of vascular damage but their role in SARS-CoV-2 remain unclear. The aim of this study was to assess whether the number of ECFCs and angiogenic biomarkers remained altered after 6 and 12-months post-infection and whether this imbalance correlated with the presence of long-COVID syndrome and other biological parameters measured. Methods Seventy-two patients were recruited at different time-points after overcoming COVID-19 and thirty-one healthy controls. All subjects were matched for age, gender, BMI, and comorbidities. ECFCs were obtained from peripheral blood and cultured with specific conditions. Results The results confirm the presence of a long-term sequela in post-COVID-19 patients, with an abnormal increase in ECFC production compared to controls (82.8% vs. 48.4%, P
Læs mere Tjek på PubMedInfection, 16.02.2024
Tilføjet 16.02.2024
Abstract Background Innate lymphoid cells (ILCs) are key organizers of tissue immune responses and regulate tissue development, repair, and pathology. Persistent clinical sequelae beyond 12 weeks following acute COVID-19 disease, named post-COVID syndrome (PCS), are increasingly recognized in convalescent individuals. ILCs have been associated with the severity of COVID-19 symptoms but their role in the development of PCS remains poorly defined. Methods and results Here, we used multiparametric immune phenotyping, finding expanded circulating ILC precursors (ILCPs) and concurrent decreased group 2 innate lymphoid cells (ILC2s) in PCS patients compared to well-matched convalescent control groups at > 3 months after infection or healthy controls. Patients with PCS showed elevated expression of chemokines and cytokines associated with trafficking of immune cells (CCL19/MIP-3b, FLT3-ligand), endothelial inflammation and repair (CXCL1, EGF, RANTES, IL-1RA, PDGF-AA). Conclusion These results define immunological parameters associated with PCS and might help find biomarkers and disease-relevant therapeutic strategies.
Læs mere Tjek på PubMedInfection, 16.02.2024
Tilføjet 16.02.2024
Abstract Purpose Anti SARS-CoV-2 vaccination initially showed high effectiveness in preventing COVID-19. However, after the surge of variants of concern, the effectiveness dropped. Several studies investigated if this was related to the decrease of the humoral response over time; however, this issue is still unclear. The aim of this study was to understand whether SARS-CoV-2 anti-S IgG levels can be used to predict breakthrough infection risk and define the timing for further booster doses administration. Method Within the framework of the ORCHESTRA Project, over 20,000 health workers from 11 European centers were enrolled since December 2020. We performed two Cox proportional hazards survival analyses regarding pre-Omicron (from January to July 2021) and Omicron (December 2021–May 2022) periods. The serological response was classified as high (above the 75th percentile), medium (25th-75th), or low (
Læs mere Tjek på PubMedErik H. A. Michels, Brent Appelman, Justin de Brabander, Rombout B. E. van Amstel, Christine C. A. van Linge, Osoul Chouchane, Tom D. Y. Reijnders, Alex R. Schuurman, Titia A. L. Sulzer, Augustijn M. Klarenbeek, Renée A. Douma, Lieuwe D. J. Bos, W. Joost Wiersinga, Hessel Peters-Sengers, Tom van der Poll
American Journal of Respiratory and Critical Care Medicine , 16.02.2024
Tilføjet 16.02.2024
American Journal of Respiratory and Critical Care Medicine, Volume 209, Issue 4, Page 402-416, February 15, 2024.
Læs mere Tjek på PubMedBMC Infectious Diseases, 16.02.2024
Tilføjet 16.02.2024
BMC Infectious Diseases, 16.02.2024
Tilføjet 16.02.2024
Abstract Background Fear of a global public health issue and fresh infection wave in the persistent COVID-19 pandemic has been enflamed by the appearance of the novel variant Omicron BF.7 lineage. Recently, it has been seeing the novel Omicron subtype BF.7 lineage has sprawled exponentially in Hohhot. More than anything, risk stratification is significant to ascertain patients infected with COVID-19 who the most need in-hospital or in-home management. The study intends to understand the clinical severity and epidemiological characteristics of COVID-19 Omicron subvariant BF.7. lineage via gathering and analyzing the cases with Omicron subvariant in Hohhot, Inner Mongolia. Methods Based upon this, we linked variant Omicron BF.7 individual-level information including sex, age, symptom, underlying conditions and vaccination record. Further, we divided the cases into various groups and assessed the severity of patients according to the symptoms of patients with COVID-19. Clinical indicators and data might help to predict disadvantage outcomes and progression among Omicron BF.7 patients. Results In this study, in patients with severe symptoms, some indicators from real world data such as white blood cells, AST, ALT and CRE in patients with Omicron BF.7 in severe symptoms were significantly higher than mild and asymptomatic patients, while some indicators were significantly lower. Conclusions Above results suggested that the indicators were associated with ponderance of clinical symptoms. Our survey emphasized the value of timely investigations of clinical data obtained by systemic study to acquire detailed information.
Læs mere Tjek på PubMedSkye OPSTEEN; Tim FRAM; Jacob K. FILES; Emily B. LEVITAN; Paul GOEPFERT; Nathaniel ERDMANN
Journal of Acquired Immune Deficiency Syndromes, 15.02.2024
Tilføjet 15.02.2024
There is mounting evidence that HIV infection is a risk factor for severe presentations of COVID-19. We hypothesized that the persistent immune activation associated with chronic HIV infection contributes to worsened outcomes during acute COVID-19. The goals of this study were to provide an in-depth analysis of immune response to acute COVID-19 and investigate relationships between immune responses and clinical outcomes in an unvaccinated, sex and race-matched cohort of people with HIV (PWH, n=20) and people without HIV (PWOH, n=41). There is mounting evidence that HIV infection is a risk factor for severe presentations of COVID-19. We hypothesized that the persistent immune activation associated with chronic HIV infection contributes to worsened outcomes during acute COVID-19. The goals of this study were to provide an in-depth analysis of immune response to acute COVID-19 and investigate relationships between immune responses and clinical outcomes in an unvaccinated, sex and race-matched cohort of people with HIV (PWH, n=20) and people without HIV (PWOH, n=41). We performed flow cytometric analyses on peripheral blood mononuclear cells from PWH and PWOH experiencing acute COVID-19 (≤ 21 days post-symptom onset). PWH were younger (median 52 vs 65 years) and had milder COVID-19 (40% vs 88% hospitalized) compared to PWOH. Flow cytometry panels included surface markers for immune cell populations, activation and exhaustion surface markers (with and without SARS-CoV-2-specific antigen stimulation), and intracellular cytokine staining. We observed that PWH had increased expression of activation (e.g., CD137, OX40) and exhaustion (e.g., PD1, TIGIT) markers as compared to PWOH during acute COVID-19. When analyzing the impact of COVID-19 severity, we found that hospitalized PWH had lower non-classical (CD16+) monocyte frequencies, decreased expression of TIM3 on CD4+ T cells, and increased expression of PDL1 and CD69 on CD8+ T cells. Our findings demonstrate that PWH have increased immune activation and exhaustion as compared to a cohort of predominately older, hospitalized PWOH and raises questions on how chronic immune activation impacts acute disease and the development of post-acute sequelae. Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.
Læs mere Tjek på PubMedJulia C. Berentschot, L. Martine Bek, Majanka H. Heijenbrok-Kal, Rita J.G. van den Berg-Emons, Gerard M. Ribbers, Joachim G.J.V. Aerts, Merel E. Hellemons
International Journal of Infectious Diseases, 15.02.2024
Tilføjet 15.02.2024
COVID-19, caused by SARS-CoV-2, has resulted in a worldwide pandemic, requiring hospitalization for respiratory insufficiency in numerous patients. Many of these patients suffer lingering and debilitating health problems that can persist for months or years,[1] commonly referred to as ‘long COVID’ or ‘post-COVID syndrome’. Long COVID comprises a wide range of symptoms, with dyspnea, fatigue, and neurocognitive symptoms among the most frequently reported, may negatively affect health-related quality of life, and more commonly affects patients after severe COVID-19.[1,2]
Læs mere Tjek på PubMedCamacho-Dominguez, L., Rojas, M., Herran, M., Rodriguez, Y., Beltran, S., Galindo, P. S., Aguirre-Correal, N., Espitia, M., Garcia, S., Bejarano, V., Morales-Gonzalez, V., Covaleda-Vargas, J. E., Rodriguez-Jimenez, M., Zapata, E., Monsalve, D. M., Acosta-Ampudia, Y., Anaya, J.-M., Ramirez-Santana, C.
BMJ Open, 15.02.2024
Tilføjet 15.02.2024
BackgroundA paucity of predictive models assessing risk factors for COVID-19 mortality that extend beyond age and gender in Latino population is evident in the current academic literature. ObjectivesTo determine the associated factors with mortality, in addition to age and sex during the first year of the pandemic. DesignA case–control study with retrospective revision of clinical and paraclinical variables by systematic revision of clinical records was conducted. Multiple imputations by chained equation were implemented to account for missing variables. Classification and regression trees (CART) were estimated to evaluate the interaction of associated factors on admission and their role in predicting mortality during hospitalisation. No intervention was performed. SettingHigh-complexity centre above 2640 m above sea level (masl) in Colombia. ParticipantsA population sample of 564 patients admitted to the hospital with confirmed COVID-19 by PCR. Deceased patients (n=282) and a control group (n=282), matched by age, sex and month of admission, were included. Main outcome measureMortality during hospitalisation. Main resultsAfter the imputation of datasets, CART analysis estimated 11 clinical profiles based on respiratory distress, haemoglobin, lactate dehydrogenase, partial pressure of oxygen to inspired partial pressure of oxygen ratio, chronic kidney disease, ferritin, creatinine and leucocytes on admission. The accuracy model for prediction was 80.4% (95% CI 71.8% to 87.3%), with an area under the curve of 78.8% (95% CI 69.63% to 87.93%). ConclusionsThis study discloses new interactions between clinical and paraclinical features beyond age and sex influencing mortality in COVID-19 patients. Furthermore, the predictive model could offer new clues for the personalised management of this condition in clinical settings.
Læs mere Tjek på PubMedBMC Infectious Diseases, 15.02.2024
Tilføjet 15.02.2024
Abstract Background Recurring COVID-19 waves highlight the need for tools able to quantify transmission risk, and identify geographical areas at risk of outbreaks. Local outbreak risk depends on complex immunity patterns resulting from previous infections, vaccination, waning and immune escape, alongside other factors (population density, social contact patterns). Immunity patterns are spatially and demographically heterogeneous, and are challenging to capture in country-level forecast models. Methods We used a spatiotemporal regression model to forecast subnational case and death counts and applied it to three EU countries as test cases: France, Czechia, and Italy. Cases in local regions arise from importations or local transmission. Our model produces age-stratified forecasts given age-stratified data, and links reported case counts to routinely collected covariates (e.g. test number, vaccine coverage). We assessed the predictive performance of our model up to four weeks ahead using proper scoring rules and compared it to the European COVID-19 Forecast Hub ensemble model. Using simulations, we evaluated the impact of variations in transmission on the forecasts. We developed an open-source RShiny App to visualise the forecasts and scenarios. Results At a national level, the median relative difference between our median weekly case forecasts and the data up to four weeks ahead was 25% (IQR: 12–50%) over the prediction period. The accuracy decreased as the forecast horizon increased (on average 24% increase in the median ranked probability score per added week), while the accuracy of death forecasts was more stable. Beyond two weeks, the model generated a narrow range of likely transmission dynamics. The median national case forecasts showed similar accuracy to forecasts from the European COVID-19 Forecast Hub ensemble model, but the prediction interval was narrower in our model. Generating forecasts under alternative transmission scenarios was therefore key to capturing the range of possible short-term transmission dynamics. Discussion Our model captures changes in local COVID-19 outbreak dynamics, and enables quantification of short-term transmission risk at a subnational level. The outputs of the model improve our ability to identify areas where outbreaks are most likely, and are available to a wide range of public health professionals through the Shiny App we developed.
Læs mere Tjek på PubMedBMC Infectious Diseases, 15.02.2024
Tilføjet 15.02.2024
Abstract Background A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed the effects of different optimal resource allocations on epidemic control. Methods A systematic literature search was conducted of CNKI, WanFang, VIP, CBD, PubMed, Web of Science, Scopus and Embase for articles published from January 1, 2019, through November 23, 2023. Two reviewers independently evaluated the quality of the included studies, extracted and cross-checked the data. Moreover, publication bias and sensitivity analysis were evaluated. Results A total of 22 articles were included for systematic review; in the application of optimal allocation models, 59.09% of the studies used propagation dynamics models to simulate the allocation of various resources, and some scholars also used mathematical optimization functions (36.36%) and machine learning algorithms (31.82%) to solve the problem of resource allocation; the results of the systematic review show that differential equation modeling was more considered when testing resources optimization, the optimization function or machine learning algorithm were mostly used to optimize the bed resources; the meta-analysis results showed that the epidemic trend was obviously effectively controlled through the optimal allocation of resources, and the average control efficiency was 0.38(95%CI 0.25–0.51); Subgroup analysis revealed that the average control efficiency from high to low was health specialists 0.48(95%CI 0.37–0.59), vaccines 0.47(95%CI 0.11–0.82), testing 0.38(95%CI 0.19–0.57), personal protective equipment (PPE) 0.38(95%CI 0.06–0.70), beds 0.34(95%CI 0.14–0.53), medicines and equipment for treatment 0.32(95%CI 0.12–0.51); Funnel plots and Egger’s test showed no publication bias, and sensitivity analysis suggested robust results. Conclusion When the data are insufficient and the simulation time is short, the researchers mostly use the constructor for research; When the data are relatively sufficient and the simulation time is long, researchers choose differential equations or machine learning algorithms for research. In addition, our study showed that control efficiency is an important indicator to evaluate the effectiveness of epidemic prevention and control. Through the optimization of medical staff and vaccine allocation, greater prevention and control effects can be achieved.
Læs mere Tjek på PubMedAlana Rosenberg, Lisa B. Puglisi, Kathryn A. Thomas, Alexandra A. Halberstam, Rosemarie A. Martin, Lauren Brinkley-Rubinstein, Emily A. Wang
PLoS One Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
by Alana Rosenberg, Lisa B. Puglisi, Kathryn A. Thomas, Alexandra A. Halberstam, Rosemarie A. Martin, Lauren Brinkley-Rubinstein, Emily A. Wang For the millions of people incarcerated in United States’ prisons and jails during the COVID-19 pandemic, isolation took many forms, including medical isolation for those sick with COVID-19, quarantine for those potentially exposed, and prolonged facility-wide lockdowns. Incarcerated people’s lived experience of isolation during the pandemic has largely gone undocumented. Through interviews with 48 incarcerated people and 27 staff at two jails and one prison in geographically diverse locations in the United States, we document the implementation of COVID-19 isolation policies from the perspective of those that live and work in carceral settings. Incarcerated people were isolated from social contact, educational programs, employment, and recreation, and lacked clear communication about COVID-19-related protocols. Being isolated, no matter the reason, felt like punishment and was compared to solitary confinement—with resultant long-term, negative impacts on health. Participants detailed isolation policies as disruptive, detrimental to mental health, and dehumanizing for incarcerated people. Findings point to several recommendations for isolation policy in carceral settings. These include integrating healthcare delivery into isolation protocols, preserving social relationships during isolation, promoting bidirectional communication about protocols and their effect between facility leadership and incarcerated people. Most importantly, there is an urgent need to re-evaluate the current approach to the use of isolation in carceral settings and to establish external oversight procedures for its use during pandemics.
Læs mere Tjek på PubMedFrancesco Paolo Bianchi, Donato Rizzi, Antonio Daleno, Pasquale Stefanizzi, Giovanni Migliore, Silvio Tafuri
International Journal of Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
Myocarditis is an inflammation of the heart muscle, and if it is accompanied by pericarditis, it is referred to as myopericarditis; in both cases, the body\'s immune system is causing inflammation in response to an infection or some other trigger. According to the US Centers for Disease Control and Prevention (CDC), the term “myocarditis” refers to myocarditis, pericarditis, or myopericarditis [1]. Myocarditis typically occurs more commonly in males than females, and the incidence is highest among infants, adolescents, and young adults [2–4].
Læs mere Tjek på PubMedBMC Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
BMC Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
Abstract Background Coronavirus disease 2019 (COVID-19) is an evolving global pandemic, and nanobodies, as well as other single-domain antibodies (sdAbs), have been recognized as a potential diagnostic and therapeutic tool for infectious diseases. High-throughput screening techniques such as phage display have been developed as an alternative to in vivo immunization for the discovery of antibody-like target-specific binders. Methods We designed and constructed a highly diverse synthetic phage library sdAb-U (single-domain Antibody - Universal library ) based on a human framework. The SARS-CoV-2 receptor-binding domain (RBD) was expressed and purified. The universal library sdAb-U was panned against the RBD protein target for two rounds, followed by monoclonal phage ELISA (enzyme-linked immunosorbent assay) to identify RBD-specific binders (the first stage). High-affinity binders were sequenced and the obtained CDR1 and CDR2 sequences were combined with fully randomized CDR3 to construct a targeted (focused) phage library sdAb-RBD, for subsequent second-stage phage panning (also two rounds) and screening. Then, sequences with high single-to-background ratios in phage ELISA were selected for expression. The binding affinities of sdAbs to RBD were measured by an ELISA-based method. In addition, we conducted competition ELISA (using ACE2 ectodomain S19-D615) and SARS-CoV-2 pseudovirus neutralization assays for the high-affinity RBD-binding sdAb39. Results Significant enrichments were observed in both the first-stage (universal library) and the second-stage (focused library) phage panning. Five RBD-specific binders were identified in the first stage with high ELISA signal-to-background ratios. In the second stage, we observed a much higher possibility of finding RBD-specific clones in phage ELISA. Among 45 selected RBD-positive sequences, we found eight sdAbs can be well expressed, and five of them show high-affinity to RBD (EC50
Læs mere Tjek på PubMedBMC Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
Abstract Background Omicron has become the dominant variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since first reported in November 2021. From the initially detected Wuhan lineage, sublineages BA.2, BA.4, BA.5, BQ, XAG, and XBB have emerged over time and are dominant in many countries. Therefore, the aim is to evaluate which variants are circulating and the clinical characteristics of inpatients infected with the Omicron variant. Methods This retrospective cohort study selected hospitalized patients admitted with respiratory symptoms to a hospital in the state of Rio Grande do Sul, Brazil, between June and July 2022. SARS-CoV-2 results were analyzed together with clinical outcomes and vaccination status. A viral genome library was prepared and forwarded to the Illumina MiSeq Platform for sequencing. Results In total, 37 genomes were sequenced. Concerning the Omicron sublineages, our study detected: BA.1 (21 K), BA.2 (21 L), BA.4 (22A), BA.5 (22B), BA.2.12.1 (22C), BQ.1 (22E), XBB (22F), and XAG recombinant. Omicron BA.5 (30%), BA.2 (19%), and BQ.1 (19%) were the most frequent sublineages, respectively. In total, 38% of patients present hypertension, and the most common symptoms were coughing (62%). Analyzing the COVID-19 vaccination, 30% of patients were fully vaccinated, 49% had a partial vaccination status, and 21% were unvaccinated (no dose). Conclusions BA.5 was the most prevalent sublineage in our study and surpassed the predominance of BA.2, as reported by the national genomic surveillance program. BQ.1 was diagnosed earlier in this study than it was officially reported in the state. Current data have demonstrated that the Omicron variant causes less severe infections, with the high rate of transmissibility and mutational landscape causing the rapid emergence of new sublineages.
Læs mere Tjek på PubMedBMC Infectious Diseases, 14.02.2024
Tilføjet 14.02.2024
Abstract Background Dexamethasone usually recommended for patients with severe coronavirus disease 2019 (COVID-19) to reduce short-term mortality. However, it is uncertain if another corticosteroid, such as methylprednisolone, may be utilized to obtain better clinical outcome. This study assessed dexamethasone’s clinical and safety outcomes compared to methylprednisolone. Methods A multicenter, retrospective cohort study was conducted between March 01, 2020, and July 31, 2021. It included adult COVID-19 patients who were initiated on either dexamethasone or methylprednisolone therapy within 24 h of intensive care unit (ICU) admission. The primary outcome was the progression of multiple organ dysfunction score (MODS) on day three of ICU admission. Propensity score (PS) matching was used (1:3 ratio) based on the patient’s age and MODS within 24 h of ICU admission. Results After Propensity Score (PS) matching, 264 patients were included; 198 received dexamethasone, while 66 patients received methylprednisolone within 24 h of ICU admission. In regression analysis, patients who received methylprednisolone had a higher MODS on day three of ICU admission than those who received dexamethasone (beta coefficient: 0.17 (95% CI 0.02, 0.32), P = 0.03). Moreover, hospital-acquired infection was higher in the methylprednisolone group (OR 2.17, 95% CI 1.01, 4.66; p = 0.04). On the other hand, the 30-day and the in-hospital mortality were not statistically significant different between the two groups. Conclusion Dexamethasone showed a lower MODS on day three of ICU admission compared to methylprednisolone, with no statistically significant difference in mortality.
Læs mere Tjek på PubMedClinical Infectious Diseases, 13.02.2024
Tilføjet 13.02.2024
Abstract COVID-19 epidemiology and product landscapes have changed considerably since onset of the pandemic. Safe and effective vaccines and therapeutics are available, but the continual emergence of SARS-CoV-2 variants introduce limitations in our ability to prevent and treat disease. Project NextGen is a collaboration between the Biomedical Advanced Research and Development Authority (BARDA), part of the Administration for Strategic Preparedness and Response (ASPR), and the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health, that is leveraging public-private partnerships to address gaps in the nation’s COVID-19 vaccine and therapeutic capabilities. Targeted investments will advance promising next-generation candidates through the most difficult phases of clinical development to encourage further private sector interest for later stage development and commercial availability. New commercial vaccines and therapeutics that are more durable and effective across variants will improve our fight against COVID-19 and transform our response to future threats.
Læs mere Tjek på PubMedKoen M.F. Gorgels, Senna C.J.L. van Iersel, Sylvia F.A. Keijser, Christian J.P.A. Hoebe, Jacco Wallinga, Albert J. van Hoek
PLoS One Infectious Diseases, 13.02.2024
Tilføjet 13.02.2024
by Koen M.F. Gorgels, Senna C.J.L. van Iersel, Sylvia F.A. Keijser, Christian J.P.A. Hoebe, Jacco Wallinga, Albert J. van Hoek Measuring the severity of the disease of SARS-CoV-2 is complicated by the lack of valid estimations for the prevalence of infection. Self-administered rapid antigen diagnostic tests (Ag-RDTs) were available in the Netherlands since March 2021, requiring confirmation by reverse-transcription polymerase chain reaction (RT-PCR) for positive results. We explored the possibility of utilizing the positive predictive value (PPV) of Ag-RDTs to estimate SARS-CoV-2 prevalence. We used data from all Public Health service testing facilities between 3 May 2021 and 10 April 2022. The PPV was calculated by dividing the number of positive RT-PCR results by the total number of confirmation tests performed, and used to estimate the prevalence and compared with the number of COVID-19 hospital admissions. In total 3,599,894 cases were included. The overall PPV was 91.8% and 88.8% were symptomatic. During our study period, the estimated prevalence ranged between 2–22% in symptomatic individuals and 2–14% in asymptomatic individuals, with a correlation between the estimated prevalence and hospital admissions two weeks later (r = 0.68 (p
Læs mere Tjek på PubMedJournal of Infectious Diseases, 13.02.2024
Tilføjet 13.02.2024
Abstract Background Monovalent Omicron XBB.1.5-containing vaccines were approved for Coronavirus disease 2019 (COVID-19) 2023-2024 immunizations.Methods This ongoing, open-label, phase 2/3 study evaluated mRNA-1273.815-monovalent (50-µg Omicron XBB.1.5-spike mRNA) and mRNA-1273.231-bivalent (25-µg each Omicron XBB.1.5- and BA.4/BA.5-spike mRNAs))vaccines, administered as 5th doses to adults who previously received a primary series, a 3rd dose of an original mRNA COVID-19 vaccine, and a 4th dose of an Omicron BA.4/BA.5 bivalent vaccine. Interim safety and immunogenicity results 29 days post-vaccination are reported.Results Participants (randomized 1:1) received 50-µg mRNA-1273.815(n=50) or mRNA-1273.231(n=51); median (interquartile range) months from the prior BA.4/BA.5-bivalent dose were 8.2 (8.1-8.3) and 8.3 (8.1-8.4), respectively. Neutralizing antibody (nAb) increased from pre-booster levels against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants tested. Day 29 nAb fold-increases from pre-booster levels were numerically higher against XBB.1.5, XBB.1.16, EG.5.1, BA.2.86, and JN.1 than BA.4/BA.5, BQ.1.1 and D614G. The monovalent vaccine also cross-neutralized FL.1.5.1, EG.5.1, BA.2.86, HK.3.1, HV.1 and JN.1 variants in a participant (n=20) subset, 15 days post-vaccination. Reactogenicity was similar to previously reported mRNA-1273 original and bivalent vaccines.Conclusions XBB.1.5-containing mRNA-1273 vaccines elicit robust, diverse nAb responses against more recent SARS-CoV-2 variants including JN.1, supporting the XBB.1.5-spike sequence selection for the 2023-2024 COVID-19 vaccine update.
Læs mere Tjek på PubMedQi Tang, Xubiao Xie, Longkai Peng, Linxin Yang, Yubin Chen, Shaojie Yu
International Journal of Infectious Diseases, 13.02.2024
Tilføjet 13.02.2024
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia poses significant challenges to global health systems, particularly in severe and critical cases [1]. Coronavirus disease 2019 (COVID-19) patients are at risk of diffuse alveolar damage (DAD), acute respiratory distress syndrome (ARDS), and multi-organ failure, which are the main causes of death [2, 3]. Renal transplant recipients are particularly vulnerable to severe or critical COVID-19 illness, and mortality rates are high in this patient group [4-7].
Læs mere Tjek på PubMedJelen, A., Rodin, G., Graham, L., Goldfarb, R., Mah, K., Satele, D. V., Elliot, M., Krzyzanowska, M. K., Rubin, B. B.
BMJ Open, 13.02.2024
Tilføjet 13.02.2024
ObjectivesTo assess the prevalence and drivers of distress, a composite of burnout, decreased meaning in work, severe fatigue, poor work–life integration and quality of life, and suicidal ideation, among nurses and physicians during the COVID-19 pandemic. DesignCross-sectional design to evaluate distress levels of nurses and physicians during the COVID-19 pandemic between June and August 2021. SettingCardiovascular and oncology care settings at a Canadian quaternary hospital network. Participants261 nurses and 167 physicians working in cardiovascular or oncology care. Response rate was 29% (428 of 1480). Outcome measuresSurvey tool to measure clinician distress using the Well-Being Index (WBI) and additional questions about workplace-related and COVID-19 pandemic-related factors. ResultsAmong 428 respondents, nurses (82%, 214 of 261) and physicians (62%, 104 of 167) reported high distress on the WBI survey. Higher WBI scores (≥2) in nurses were associated with perceived inadequate staffing (174 (86%) vs 28 (64%), p=0.003), unfair treatment, (105 (52%) vs 11 (25%), p=0.005), and pandemic-related impact at work (162 (80%) vs 22 (50%), p
Læs mere Tjek på PubMedDavid A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn, John W. Ayers
PLoS One Infectious Diseases, 12.02.2024
Tilføjet 12.02.2024
by David A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn, John W. Ayers
Læs mere Tjek på PubMedAida Moreno-Juste, Beatriz Poblador-Plou, Cristina Ortega-Larrodé, Clara Laguna-Berna, Francisca González-Rubio, Mercedes Aza-Pascual-Salcedo, Kevin Bliek-Bueno, María Padilla, Concepción de-la-Cámara, Alexandra Prados-Torres, Luis A. Gimeno-Feliú, Antonio Gimeno-Miguel
PLoS One Infectious Diseases, 12.02.2024
Tilføjet 12.02.2024
by Aida Moreno-Juste, Beatriz Poblador-Plou, Cristina Ortega-Larrodé, Clara Laguna-Berna, Francisca González-Rubio, Mercedes Aza-Pascual-Salcedo, Kevin Bliek-Bueno, María Padilla, Concepción de-la-Cámara, Alexandra Prados-Torres, Luis A. Gimeno-Feliú, Antonio Gimeno-Miguel The COVID–19 pandemic has created unprecedented challenges for health care systems globally. This study aimed to explore the presence of mental illness in a Spanish cohort of COVID-19-infected population and to evaluate the association between the presence of specific mental health conditions and the risk of death and hospitalization. This is a retrospective cohort study including all individuals with confirmed infection by SARS-CoV-2 from the PRECOVID (Prediction in COVID–19) Study (Aragon, Spain). Mental health illness was defined as the presence of schizophrenia and other psychotic disorders, anxiety, cognitive disorders, depression and mood disorders, substance abuse, and personality and eating disorders. Multivariable logistic regression models were used to examine the likelihood of 30-day all-cause mortality and COVID–19 related hospitalization based on baseline demographic and clinical variables, including the presence of specific mental conditions, by gender. We included 144,957 individuals with confirmed COVID–19 from the PRECOVID Study (Aragon, Spain). The most frequent diagnosis in this cohort was anxiety. However, some differences were observed by sex: substance abuse, personality disorders and schizophrenia were more frequently diagnosed in men, while eating disorders, depression and mood, anxiety and cognitive disorders were more common among women. The presence of mental illness, specifically schizophrenia spectrum and cognitive disorders in men, and depression and mood disorders, substance abuse, anxiety and cognitive and personality disorders in women, increased the risk of mortality or hospitalization after COVID–19, in addition to other well-known risk factors such as age, morbidity and treatment burden. Identifying vulnerable patient profiles at risk of serious outcomes after COVID–19 based on their mental health status will be crucial to improve their access to the healthcare system and the establishment of public health prevention measures for future outbreaks.
Læs mere Tjek på PubMedTing-Li Chen, Elizabeth P. Chou, Min-Yi Chen, Fushing Hsieh
PLoS One Infectious Diseases, 12.02.2024
Tilføjet 12.02.2024
by Ting-Li Chen, Elizabeth P. Chou, Min-Yi Chen, Fushing Hsieh We investigate the dynamic characteristics of Covid-19 daily infection rates in Taiwan during its initial surge period, focusing on 79 districts within the seven largest cities. By employing computational techniques, we extract 18 features from each district-specific curve, transforming unstructured data into structured data. Our analysis reveals distinct patterns of asymmetric growth and decline among the curves. Utilizing theoretical information measurements such as conditional entropy and mutual information, we identify major factors of order-1 and order-2 that influence the peak value and curvature at the peak of the curves, crucial features characterizing the infection rates. Additionally, we examine the impact of geographic and socioeconomic factors on the curves by encoding each of the 79 districts with two binary characteristics: North-vs-South and Urban-vs-Suburban. Furthermore, leveraging this data-driven understanding at the district level, we explore the fine-scale behavioral effects on disease spread by examining the similarity among 96 age-group-specific curves within urban districts of Taipei and suburban districts of New Taipei City, which collectively represent a substantial portion of the nation’s population. Our findings highlight the implicit influence of human behaviors related to living, traveling, and working on the dynamics of Covid-19 transmission in Taiwan.
Læs mere Tjek på PubMedT.Mark Doherty, Alberta Di Pasquale, Gary Finnegan, Jayesh Lele, Roy K Philip
International Journal of Infectious Diseases, 12.02.2024
Tilføjet 12.02.2024
The coronavirus disease 2019 (COVID-19) pandemic has altered the vaccination landscape globally and possibly permanently. More adults have died due to a single infectious cause than in the living memory of most individuals, challenging mindsets of complacency and denial around the idea of vulnerability to infectious disease. The extreme vulnerability of the frail, elderly, and those with chronic medical conditions to severe disease and death due to infection has been highlighted. The global response to the COVID-19 pandemic has been unprecedented in terms of funding to support research and rapid vaccine development, regulatory approvals, and rollout.
Læs mere Tjek på PubMedPolo Friz, Melisa; Rezoagli, Emanuele; Safaee Fakhr, Bijan; Florio, Gaetano; Carlesso, Eleonora; Giudici, Riccardo; Forlini, Clarissa; Tardini, Francesca; Langer, Thomas; Laratta, Matteo; Casella, Giampaolo; Forastieri Molinari, Andrea; Protti, Alessandro; Cecconi, Maurizio; Cabrini, Luca; Biagioni, Emanuela; Berselli, Angela; Mirabella, Lucia; Tonetti, Tommaso; De Robertis, Edoardo; Grieco, Domenico Luca; Antonelli, Massimo; Citerio, Giuseppe; Fumagalli, Roberto; Foti, Giuseppe; Zanella, Alberto; Grasselli, Giacomo; Bellani, Giacomo; for the COVID-19 Lombardy ICU Network
Critical Care Explorations, 11.02.2024
Tilføjet 11.02.2024
OBJECTIVES: In patients with COVID-19 respiratory failure, controlled mechanical ventilation (CMV) is often necessary during the acute phases of the disease. Weaning from CMV to pressure support ventilation (PSV) is a key objective when the patient’s respiratory functions improve. Limited evidence exists regarding the factors predicting a successful transition to PSV and its impact on patient outcomes. DESIGN: Retrospective observational cohort study. SETTING: Twenty-four Italian ICUs from February 2020 to May 2020. PATIENTS: Mechanically ventilated ICU patients with COVID-19-induced respiratory failure. INTERVENTION: The transition period from CMV to PSV was evaluated. We defined it as “failure of assisted breathing” if the patient returned to CMV within the first 72 hours. MEASUREMENTS AND MAIN RESULTS: Of 1260 ICU patients screened, 514 were included. Three hundred fifty-seven patients successfully made the transition to PSV, while 157 failed. Pao2/Fio2 ratio before the transition emerged as an independent predictor of a successful shift (odds ratio 1.00; 95% CI, 0.99–1.00; p = 0.003). Patients in the success group displayed a better trend in Pao2/Fio2, Paco2, plateau and peak pressure, and pH level. Subjects in the failure group exhibited higher ICU mortality (hazard ratio 2.08; 95% CI, 1.42–3.06; p < 0.001), an extended ICU length of stay (successful vs. failure 21 ± 14 vs. 27 ± 17 d; p < 0.001) and a longer duration of mechanical ventilation (19 ± 18 vs. 24 ± 17 d, p = 0.04). CONCLUSIONS: Our study emphasizes that the Pao2/Fio2 ratio was the sole independent factor associated with a failed transition from CMV to PSV. The unsuccessful transition was associated with worse outcomes.
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