Project description:BackgroundCoronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Although general and local public health report deathly cases, case fatality rates are still largely unknown. Thus, we sought to evaluate the mortality of COVID-19.MethodsWe searched PubMed and EMBASE databases for articles evaluating the clinical characteristics of COVID-19 patients that included clinical outcomes, between December 2020 and 24 April 2020. Two authors performed an independent selection using predefined terms of search.ResultsWe retrieved 33 studies with a total of 13,398 patients with COVID-19 diagnosis. The mortality rate of the COVID-19 patients was 17.1% (95% CI 12.7; 22.7, I2 = 96.9%). For general patients admitted to the hospital (excluding critical care-only studies) the mortality rate of the COVID-19 was 11.5% (95% CI 7.7; 16.9, I2 = 96.7%). Among critical illness studies (n = 7) we found a 40.5% mortality (95% CI 31.2; 50.6, I2 = 91.8%).ConclusionHigh COVID-19 mortality among general admitted patients and critical care cases should guide resources allocations and economic burden calculations during the pandemics.
Project description:Since the SARS-CoV-2 pandemic began, numerous studies have reported a concerning drop in the number of acute myocardial infarction (AMI) admissions. In the present systematic review and meta-analysis, we aimed to compare the rate of AMI admissions and major complication during the pandemic, in comparison with pre-pandemic periods. Three major databases (PubMed, Scopus, and Web of Science Core Collection) were searched. Out of 314 articles, 41 were entered into the study. Patients hospitalized for AMI were 35% less in the COVID-19 era compared with pre-pandemic periods, which was statistically significantly (OR = 0.65; 95% CI: 0.56-0.74; I2 = 99%; p < 0.001; 28 studies). Patients hospitalized for STEMI and NSTEMI were 29% and 34% respectively less in the COVID-19 era compared with periods before COVID-19, which was statistically significantly (OR = 0.71; 95% CI: 0.65 -0.78; I2 = 93%; p < 0.001; 22 studies, OR = 0.66; 95% CI: 0.58-0.73; I2 = 95%; p < 0.001; 14 studies). The overall rate of in-hospital mortality in AMI patients increased by 26% in the COVID-19 era, which was not statistically significant (OR = 1.26; 95% CI: 1.0-1.59; I2 = 22%; p < 0.001; six studies). The rate of in-hospital mortality in STEMI and NSTEMI patients increased by 15% and 26% respectively in the COVID-19 era, which was not statistically significant (OR = 1.15; 95% CI: 0.85-1.57; I2 = 48%; p = 0.035; 11 studies, OR = 1.35; 95% CI: 0.64-2.86; I2 = 45%; p = 0.157; 3 articles). These observations highlight the challenges in the adaptation of health-care systems with the impact of the COVID-19 pandemic.
Project description:BackgroundCoronavirus disease 2019 (COVID-19) have brought great disaster to mankind, and there is currently no globally recognized specific drug or treatment. Severe COVID-19 may trigger a cytokine storm, manifested by increased levels of cytokines including interleukin-17 (IL-17), so a new strategy to treat COVID-19 may be to use existing IL-17 inhibitors, which have demonstrated efficacy, safety and tolerability in the treatment of psoriasis. However, the use of IL-17 inhibitors in patients with psoriasis during the COVID-19 pandemic remains controversial due to reports that IL-17 inhibitors may increase the risk of respiratory tract infections.ObjectivesThe systematic review and meta-analysis aimed to evaluate the effect of IL-17 inhibitors on the risk of COVID-19 infection, hospitalization, and mortality in patients with psoriasis.MethodsDatabases (including Embase, PubMed, SCI-Web of Science, Scopus, CNKI, and the Cochrane Library) were searched up to August 23, 2022, for studies exploring differences in COVID-19 outcomes between psoriasis patients using IL-17 inhibitors and those using non-biologics. Two authors independently extracted data and assessed the risk of bias in a double-blind manner. The risk ratios (RRs) and 95% confidence intervals (CIs) were calculated and heterogeneities were determined by the Q test and I 2 statistic. And the numbers needed to treat (NNTs) were calculated to assess the clinical value of IL-17 inhibitors in preventing SARS-CoV-2 infection and treating COVID-19.ResultsNine observational studies involving 7,106 participants were included. The pooled effect showed no significant differences in the rates of SARS-CoV-2 infection (P = 0.94; I 2 = 19.5%), COVID-19 hospitalization (P = 0.64; I 2 = 0.0%), and COVID-19 mortality (P = 0.32; I 2 = 0.0%) in psoriasis patients using IL-17 inhibitors compared with using non-biologics. Subgroup analyses grouped by age and COVID-19 cases, respectively, revealed consistent results as above. Meanwhile, the pooled NNTs showed no significant differences between the two groups in the clinical value of preventing SARS-CoV-2 infection and treating COVID-19.ConclusionThe use of IL-17 inhibitors in patients with psoriasis does not increase the risk of SARS-CoV-2 infection or worsen the course of COVID-19.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42022335195.
Project description:BackgroundOpioid use disorder (OUD) as a common drug use disorder can affect public health issues, including the COVID-19 pandemic, in which patients with OUD may have higher risk of infection and severe disease. This systematic review and meta-analysis was conducted to investigate the risk of COVID-19 and the associated hospitalization, intensive care unit (ICU) admission, and mortality in patients with OUD.Materials and methodsA comprehensive systematic search was performed on PubMed, Scopus, Embase, and Web of Science to find studies which compared the infection rate and outcomes of COVID-19 in OUD patients in comparison with the normal population. A random effects meta-analysis model was developed to estimate odd ratios (OR) and 95% confidence interval (CI) between the outcomes of COVID-19 and OUD.ResultsOut of 2647 articles identified through the systematic search, eight were included in the systematic review and five in the meta-analysis. Among 73,345,758 participants with a mean age of 57.90 ± 13.4 years, 45.67% were male. The findings suggested no significant statistical relationship between COVID-19 infection and OUD (OR (95% CI): 1.18 (0.47-2.96), p-value: 0.73). Additionally, patients with OUD had higher rate of hospitalization (OR (95% CI) 5.98 (5.02-7.13), p-value<0.01), ICU admission (OR (95% CI): 3.47 (2.24-5.39), p-value<0.01), and mortality by COVID-19) OR (95% CI): 1.52(1.27-1.82), pvalue< 0.01).ConclusionThe present findings suggested that OUD is a major risk factor for mortality and the need for hospitalization and ICU admission in patients with COVID-19. It is recommended that policymakers and healthcare providers adopt targeted methods to prevent and manage clinical outcomes and decrease the burden of COVID-19, especially in specific populations such as OUD patients.
Project description:Background and aimThe use of biologics and small molecules has been a concern for patients with inflammatory bowel disease (IBD) during the COVID-19 pandemic. We aimed to assess the association between the risk of COVID-19-related hospitalization and these agents.MethodsWe made a systematic review and meta-analysis of all published studies from December 2019 to September 2021 to identify studies that reported COVID-19-related hospitalization in IBD patients receiving biologic therapies or tofacitinib. We calculated the risk ratio (RR) to compare the relative risk of COVID-19-related hospitalization in patients receiving these medications to those who were not, at the time of the study.ResultsEighteen studies were included. The relative risk of hospitalization was significantly lower in patients with IBD and COVID-19 who were receiving biologic therapy (RR = 0.47 [95% confidence interval, CI: 0.42-0.52, P < 0.00001]) compared to patients not receiving biologics. The RR was lower in patients receiving anti-tumor necrosis factors (TNFs) compared to those who were not (RR = 0.48 [95% CI: 0.41-0.55, P < 0.00001]). A similar finding was observed in patients taking ustekinumab (RR = 0.55 [95% CI: 0.43-0.72, P < 0.00001]). Combination therapy involving anti-TNF and an immunomodulator did not lower the risk of COVID-19-related hospitalization (RR = 0.98 [95% CI: 0.82-1.18, P = 0.84]). The use of vedolizumab (RR = 1.13 [95% CI: 0.75-1.73, P = 0.56]) or tofacitinib (RR = 0.81 [95% CI: 0.49-1.33, P = 0.40]) was not associated with a lower risk of COVID-19-related hospitalization.ConclusionRegarding COVID-19-related hospitalization in IBD, anti-TNFs and ustekinumab were associated with decreased risk of hospitalization. In addition, vedolizumab and tofacitinib were not associated with COVID-19-related hospitalization.
Project description:ImportanceWidely available and affordable options for the outpatient management of COVID-19 are needed, particularly for therapies that prevent hospitalization.ObjectiveTo perform a meta-analysis of the available randomized clinical trial evidence for fluvoxamine in the outpatient management of COVID-19.Data sourcesWorld Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov.Study selectionStudies with completed outpatient trials with available results that compared fluvoxamine with placebo were included.Data extraction and synthesisThe PRISMA 2020 guidelines were followed and study details in terms of inclusion criteria, trial demographics, and the prespecified outcome of all-cause hospitalization were extracted. Risk of bias was assessed by the Cochrane Risk of Bias 2 tool and a bayesian random effects meta-analysis with different estimates of prior probability was conducted: a weakly neutral prior (50% chance of efficacy with 95% CI for risk ratio [RR] between 0.5 and 2.0) and a moderately optimistic prior (85% chance of efficacy). A frequentist random-effects meta-analysis was conducted as a senstivity analysis, and the results were contextualized by estimating the probability of any association (RR ≤ 1) and moderate association (RR ≤ 0.9) with reduced hospitalization.Main outcomes and measuresAll-cause hospitalization.ResultsThis systematic review and meta-analysis of 3 randomized clinical trials and included 2196 participants. The RRs for hospitalization were 0.78 (95% CI, 0.58-1.08) for the bayesian weakly neutral prior, 0.73 (95% CI, 0.53-1.01) for the bayesian moderately optimistic prior, and 0.75 (95% CI, 0.58-0.97) for the frequentist analysis. Depending on the scenario, the probability of any association with reduced hospitalization ranged from 94.1% to 98.6%, and the probability of moderate association ranged from 81.6% to 91.8%.Conclusions and relevanceIn this systematic review and meta-analysis of data from 3 trials, under a variety of assumptions, fluvoxamine showed a high probability of being associated with reduced hospitalization in outpatients with COVID-19. Ongoing randomized trials are important to evaluate alternative doses, explore the effectiveness in vaccinated patients, and provide further refinement to these estimates. Meanwhile, fluvoxamine could be recommended as a management option, particularly in resource-limited settings or for individuals without access to SARS-CoV-2 monoclonal antibody therapy or direct antivirals.
Project description:ImportanceAfter abrupt closures of businesses and public gatherings in the US in late spring 2020 due to the COVID-19 pandemic, by mid-May 2020, most states reopened their economies. Owing in part to a lack of earlier data, there was little evidence on whether state reopening policies influenced important pandemic outcomes-COVID-19-related hospitalizations and mortality-to guide future decision-making in the remainder of this and future pandemics.ObjectiveTo investigate changes in COVID-19-related hospitalizations and mortality trends after reopening of US state economies.Design setting and participantsUsing an interrupted time series approach, this cross-sectional study examined trends in per-capita COVID-19-related hospitalizations and deaths before and after state reopenings between April 16 and July 31, 2020. Daily state-level data from the University of Minnesota COVID-19 Hospitalization Tracking Project on COVID-19-related hospitalizations and deaths across 47 states were used in the analysis.ExposuresDates that states reopened their economies.Main outcomes and measuresState-day observations of COVID-19-related hospitalizations and COVID-19-related new deaths per 100 000 people.ResultsThe study included 3686 state-day observations of hospitalizations and 3945 state-day observations of deaths. On the day of reopening, the mean number of hospitalizations per 100 000 people was 17.69 (95% CI, 12.54-22.84) and the mean number of daily new deaths per 100 000 people was 0.395 (95% CI, 0.255-0.536). Both outcomes displayed flat trends before reopening, but they started trending upward thereafter. Relative to the hospitalizations trend in the period before state reopenings, the postperiod trend was higher by 1.607 per 100 000 people (95% CI, 0.203-3.011; P = .03). This estimate implied that nationwide reopenings were associated with 5319 additional people hospitalized for COVID-19 each day. The trend in new deaths after reopening was also positive (0.0376 per 100 000 people; 95% CI, 0.0038-0.0715; P = .03), but the change in mortality trend was not significant (0.0443; 95% CI, -0.0048 to 0.0933; P = .08).Conclusions and relevanceIn this cross-sectional study conducted over a 3.5-month period across 47 US states, data on the association of hospitalizations and mortality with state reopening policies may provide input to state projections of the pandemic as policy makers continue to balance public health protections with sustaining economic activity.
Project description:Importance/Background: During current public health emergency of COVID-19 pandemic, repurposing of existing antiviral drugs may be an efficient strategy since there is no proven effective treatment. Published literature shows Remdesivir has broad-spectrum antiviral activity against numerous RNA viruses and has been recently recognized as a promising therapy against SARS-CoV-2. Methods: A systematic search was conducted for full length manuscripts published between inception and July 19th, 2020 focussing on efficacy and safety of Remdesivir in COVID-19. The primary outcomes were defined as mortality rate and median days to recovery based on the available pooled data. The secondary outcome was adverse events rate and drug discontinuation rate. Statistical Analysis: All outcomes were performed using Comprehensive Meta-Analysis software package (Bio stat, Englewood, NJ, USA). Results: A total of 1,895 patients from 9 studies were included in this qualitative synthesis. In patients treated with Remdesivir, the mean recovery time was 15.84 days (95% CI 11.68-20, SE 2.12; I 2 = 97.24) and the pooled mortality rate was 11.3% (95% CI 7.9-16%; I 2 = 74.85). However, treatment with Remdesivir was associated with adverse effects (55.3%, 95% CI 31.5-76.9%; I 2 = 97.66) eventually warranting the discontinuation of the drug (17.8%, 95% CI 8.6-33.1%; I 2 = 95.64). The meta-analysis of three clinical trials indicated that administration of Remdesivir significantly reduces the mortality compared to the placebo (OR 0.70, 95% CI 0.58-0.84, p ≤ 0.001; I 2 = 16.6). Conclusions and Relevance: The result of contemporary meta-analysis suggests mortality benefit with Remdesivir in COVID-19 and median recovery time was over 2 weeks. The pooled mortality with Remdesivir was found to be very low, and this analysis can shed light on this potential treatment for COVID-19 patients.