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Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.

ABSTRACT: OBJECTIVE:To assess the sex difference in the prevalence of COVID-19 confirmed cases. DESIGN:Systematic review and meta-analysis. SETTING:PubMed, Cochrane Library and Google Scholar were searched for related information. The authors developed a data extraction form on an Excel sheet and the following data from eligible studies were extracted: author, country, sample size, number of female patients and number of male patients. Using STATA V.14 for analysis, the authors pooled the overall prevalence of men and/or women using a random-effect meta-analysis model. The authors examined the heterogeneity in effect size using Q statistics and I2 statistics. Subgroup and sensitivity analyses were performed. Publication bias was also checked. PARTICIPANTS:Studies on COVID-19 confirmed cases were included. INTERVENTION:Sex (male/female) of COVID-19 confirmed cases was considered. PRIMARY AND SECONDARY OUTCOME MEASURES:The primary outcome was prevalence of COVID-19 among men and women. RESULTS:A total of 57 studies with 221 195 participants were used in the analysis. The pooled prevalence of COVID-19 among men was found to be 55.00 (51.43-56.58, I2=99.5%, p<0.001). Sensitivity analysis showed the findings were not dependent on a single study. Moreover, a funnel plot showed symmetrical distribution. Egger's regression test p value was not significant, which indicates absence of publication bias in both outcomes. CONCLUSIONS:The prevalence of symptomatic COVID-19 was found to be higher in men than in women. The high prevalence of smoking and alcohol consumption contributed to the high prevalence of COVID-19 among men. Additional studies on the discrepancies in severity and mortality rate due to COVID-19 among men and women and the associated factors are recommended.

SUBMITTER: Abate BB

PROVIDER: S-EPMC7539579 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.

Abate Biruk Beletew BB Kassie Ayelign Mengesha AM Kassaw Mesfin Wudu MW Aragie Teshome Gebremeskel TG Masresha Setamlak Adane SA

BMJ open 20201006 10

<h4>Objective</h4>To assess the sex difference in the prevalence of COVID-19 confirmed cases.<h4>Design</h4>Systematic review and meta-analysis.<h4>Setting</h4>PubMed, Cochrane Library and Google Scholar were searched for related information. The authors developed a data extraction form on an Excel sheet and the following data from eligible studies were extracted: author, country, sample size, number of female patients and number of male patients. Using STATA V.14 for analysis, the authors poole ...[more]

PMID: 33028563

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Project description:Objective:Clinical and laboratory biomarkers to predict the severity of coronavirus disease 2019 (COVID-19) are essential in this pandemic situation of which resource allocation must be urgently prepared especially in the context of respiratory support readiness. Lymphocyte count has been a marker of interest since the first COVID-19 publication. We conducted a systematic review and meta-analysis in order to investigate the association of lymphocyte count on admission and the severity of COVID-19. We would also like to analyze whether patient characteristics such as age and comorbidities affect the relationship between lymphocyte count and COVID-19. Methods:Comprehensive and systematic literature search was performed from PubMed, SCOPUS, EuropePMC, ProQuest, Cochrane Central Databases, and Google Scholar. Research articles in adult patients diagnosed with COVID-19 with information on lymphocyte count and several outcomes of interest, including mortality, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) care, and severe COVID-19, were included in the analysis. Inverse variance method was used to obtain mean differences and its standard deviations. Maentel-Haenszel formula was used to calculate dichotomous variables to obtain odds ratios (ORs) along with its 95% confidence intervals. Random-effect models were used for meta-analysis regardless of heterogeneity. Restricted-maximum likelihood random-effects meta-regression was performed for age, gender, cardiac comorbidity, hypertension, diabetes mellitus, COPD, and smoking. Results:There were a total of 3099 patients from 24 studies. Meta-analysis showed that patients with poor outcome have a lower lymphocyte count (mean difference - 361.06 μL [- 439.18, - 282.95], p < 0.001; I 2 84%) compared to those with good outcome. Subgroup analysis showed lower lymphocyte count in patients who died (mean difference - 395.35 μL [- 165.64, - 625.07], p < 0.001; I 2 87%), experienced ARDS (mean difference - 377.56 μL [- 271.89, - 483.22], p < 0.001; I 2 0%), received ICU care (mean difference - 376.53 μL [- 682.84, - 70.22], p = 0.02; I 2 89%), and have severe COVID-19 (mean difference - 353.34 μL [- 250.94, - 455.73], p < 0.001; I 2 85%). Lymphopenia was associated with severe COVID-19 (OR 3.70 [2.44, 5.63], p < 0.001; I 2 40%). Meta-regression showed that the association between lymphocyte count and composite poor outcome was affected by age (p = 0.034). Conclusion:This meta-analysis showed that lymphopenia on admission was associated with poor outcome in patients with COVID-19.

Project description:Importance: Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease that has caused a global pandemic. The presenting symptoms are mainly respiratory symptom, yet studies have reported nervous system involvement in the disease. A systematic review and meta-analysis of these studies are required to understanding the neurologic characteristic of the disease and help physicians with early diagnosis and management. Objective: To conduct a systematic review and meta-analysis on the neurologic characteristics in patients with COVID-19. Evidence Review: Authors conducted a literature search through PubMed from January 1st, 2020 to April 8th, 2020. Furthermore, the authors added additional sources by reviewing related references. Studies presenting the neurologic features of COVID-19 patients in their data were included. Case reports and case series were also included in this review. The quality of the studies was assessed based on the Oxford Center for Evidence-Based Medicine guidelines. Selected studies were included in the meta-analysis of proportion and the heterogeneity test. Finding: From 280 identified studies, 33 were eligible, with 7,559 participants included. Most of the included studies were from China (29 [88%]). Muscle injury or myalgia was the most common (19.2%, 95%CI 15.4-23.2%) neurologic symptom of COVID-19, followed by headache (10.9%, 95%CI 8.62-13.51%); dizziness (8.7%, 95%CI 5.02-13.43%); nausea with or without vomiting (4.6%, 95%CI 3.17-6.27%); concurrent cerebrovascular disease (4.4%, 95%CI 1.92-7.91%); and impaired consciousness (3.8%, 95%CI 0.16-12.04%). Underlying cerebrovascular disease was found in 8.5% (95%CI 4.5-13.5%) of the studies. Conclusion: Neurologic findings vary from non-specific to specific symptoms in COVID-19 patients. Some severe symptoms or diseases can present in the later stage of the disease. Physicians should be aware of the presence of neurologic signs and symptoms as a chief complaint of COVID-19, in order to improve management and prevent a worsening outcome of the patients.

Project description:BackgroundLiver function derangements have been reported in coronavirus disease (COVID-19), but reported rates are variable.MethodsWe searched PubMed and Embase with terms COVID and SARS-COV-2 from December 1, 2019 till April 5, 2020. We estimated overall prevalence, stratified prevalence based on severity, estimated risk ratio (RR), and estimated standardized mean difference (SMD) of liver function parameters in severe as compared to non-severe COVID. Random effect method utilizing inverse variance approach was used for pooling the data.ResultsIn all, 128 studies were included. The most frequent abnormalities were hypoalbuminemia [61.27% (48.24-72.87)], elevations of gamma-glutamyl transferase (GGT) [27.94% (18.22-40.27)], alanine aminotransferase (ALT) [23.28% (19.92-27.01)], and aspartate aminotransferase (AST) [23.41% (18.84-28.70)]. Furthermore, the relative risk of these abnormalities was higher in the patients with severe COVID-19 when compared to non-severe disease [Hypoalbuminemia-2.65 (1.38-5.07); GGT-2.31 (1.6-3.33); ALT-1.76 (1.44-2.15); AST-2.30 (1.82-2.90)]. The SMD of hypoalbuminemia, GGT, ALT, and AST elevation in severe as compared to non-severe were - 1.05 (- 1.27 to - 0.83), 0.76 (0.40-1.12), 0.42 (0.27-0.56), and 0.69 (0.52-0.86), respectively. The pooled prevalence and RR of chronic liver disease as a comorbidity was 2.64% (1.73-4) and 1.69 (1.05-2.73) respectively.ConclusionThe most frequent abnormality in liver functions was hypoalbuminemia followed by derangements in gamma-glutamyl transferase and aminotransferases, and these abnormalities were more frequent in severe disease. The systematic review was, however, limited by heterogeneity in definitions of severity and liver function derangements. Graphical depiction of the summary of meta-analytic findings a) pooled prevalence of abnormalities b) Risk ratio of abnormality in severe versus non-severe COVID-19 c) standardized mean difference (SMD) between severe and non-severe group and d) pooled prevalence for parameters based on severity stratification for bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), albumin, globulin and acute hepatic injury (AHI) . Also estimates for overall/total liver disease (TLD) and chronic liver disease (CLD) amongst COVID-19 patients are depicted in a, b, d. For d) In addition to severity stratification, Overall (all studies for a particular estimate) and combined (only those studies which reported severity) estimates are provided.

Project description:BackgroundThe spectrum of neurological involvement in COVID-19 is not thoroughly understood. To the best of our knowledge, no systematic review with meta-analysis and a sub-group comparison between severe and non-severe cases has been published. The aim of this study is to assess the frequency of neurological manifestations and complications, identify the neurodiagnostic findings, and compare these aspects between severe and non-severe COVID-19 cases.MethodsA systematic search of PubMed, Scopus, EBSCO, Web of Science, and Google Scholar databases was conducted for studies published between the 1st of January 2020 and 22nd of April 2020. In addition, we scanned the bibliography of included studies to identify other potentially eligible studies. The criteria for eligibility included studies published in English language (or translated to English), those involving patients with COVID-19 of all age groups, and reporting neurological findings. Data were extracted from eligible studies. Meta-analyses were conducted using comprehensive meta-analysis software. Random-effects model was used to calculate the pooled percentages and means with their 95% confidence intervals (CIs). Sensitivity analysis was performed to assess the effect of individual studies on the summary estimate. A subgroup analysis was conducted according to severity. The main outcomes of the study were to identify the frequency and nature of neurological manifestations and complications, and the neuro-diagnostic findings in COVID-19 patients.Results44 articles were included with a pooled sample size of 13,480 patients. The mean age was 50.3 years and 53% were males. The most common neurological manifestations were: Myalgia (22.2, 95% CI, 17.2 to 28.1%), taste impairment (19.6, 95% CI, 3.8 to 60.1%), smell impairment (18.3, 95% CI, 15.4 to 76.2%), headache (12.1, 95% CI, 9.1 to 15.8%), dizziness (11.3, 95% CI, 8.5 to 15.0%), and encephalopathy (9.4, 95% CI, 2.8 to 26.6%). Nearly 2.5% (95% CI, 1 to 6.1%) of patients had acute cerebrovascular diseases (CVD). Myalgia, elevated CK and LDH, and acute CVD were significantly more common in severe cases. Moreover, 20 case reports were assessed qualitatively, and their data presented separately.ConclusionsNeurological involvement is common in COVID-19 patients. Early recognition and vigilance of such involvement might impact their overall outcomes.

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Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.

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Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.

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