Bariatric Surgery and COVID-19 Outcomes: A Systematic Review and Meta-analysis

Background Obesity and its associated complications have a negative impact on human health. Metabolic and bariatric surgery (MBS) ameliorates a series of clinical manifestations associated with obesity. However, the overall efficacy of MBS on COVID-19 outcomes remains unclear. Objectives The objective of this article is to analyse the relationship between MBS and COVID-19 outcomes. Settings A meta-analysis. Methods The PubMed, Embase, Web of Science and Cochrane Library databases were searched to retrieve the related articles from inception to December 2022. All original articles reporting MBS-confirmed SARS-CoV-2 infection were included. Outcomes including hospital admission, mortality, intensive care unit (ICU) admission, mechanical ventilation utilization, haemodialysis during admission and hospital stay were selected. Meta-analysis with fixed or random-effect models were used and reported in terms of odds ratios (ORs) or weighted mean differences (WMDs) along with their 95% confidence intervals (CIs). Heterogeneity was assessed with the I2 test. Study quality was assessed using the Newcastle–Ottawa scale (NOS). Results A total of ten clinical trials involving the investigation of 150848 patients undergoing MBS interventions were included. Patients who underwent MBS had a lower risk of hospital admission (OR: 0.47, 95% CI: 0.34-0.66, I2 = 0%), mortality (OR: 0.43, 95% CI: 0.28-0.65, I2 = 63.6%), ICU admission (OR: 0.41, 95% CI: 0.21-0.77, I2 = 0%), and mechanical ventilation (OR: 0.51, 95% CI: 0.35-0.75, I2 = 56.2%) than those who did not undergo surgery, but MBS did not affect haemodialysis risk or COVID-19 infection rate. In addition, the length of hospital stay for COVID-19 patients after MBS was significantly reduced (WMD: -1.81, 95% CI: -3.11-0.52, I2 = 82.7%). Conclusion Our findings indicate that MBS is shown to improve COVID-19 outcomes, including hospital admission, mortality, ICU admission, mechanical ventilation, and hospital stay. Obese patients who have undergone MBS infected with COVID-19 will have better clinical outcomes than those without MBS.

Associations between COVID-19 infection and sex steroid hormones.

Aims: Coronavirus disease 2019 (COVID-19) is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and within a few months of the first outbreak, it was declared a global pandemic by the WHO. The lethal virus SARS-CoV-2 is transmitted through respiratory droplets and enters host cells through angiotensin-converting enzyme 2 (ACE-2) receptors. ACE-2 receptors are highly expressed in many tissues, including testes. Therefore, the objective of this study was to summarize the available literature regarding the correlation between sex hormone levels and COVID-19. Methods: The PubMed, Web of Science, Embase, and Cochrane Library databases were reviewed systematically through August 2022 for studies comparing sex hormone levels between different patient groups: COVID-19 versus no COVID-19, more severe versus less severe COVID-19, and non-survivors versus survivors. Various types of clinical research reporting sex hormone levels, including free testosterone (FT), luteinizing hormone (LH), follicle-stimulating hormone (FSH), 17ß-oestradiol (E2), the oestradiol-to-testosterone ratio (E2/T), prolactin (PRL), and sex hormone-binding globulin (SHBG), were included. Random- or fixed-effects models were used to calculate weighted mean differences (WMDs) and 95% confidence intervals (CIs). Heterogeneity among the studies was assessed by the I2 index, and data analyses were performed using meta-analysis with Stata version 12.0. Results: Twenty-two articles that included 3369 patients were ultimately included in the meta-analysis. According to analysis of the included studies, patients with COVID-19 had significantly low T/LH, FSH/LH, and SHBG levels and high levels of LH, and E2/T, but their levels of FT, FSH, PRL, E2, and progesterone were not affected. Publication bias was not found according to funnel plots and Egger's regression and Begg's rank correlation tests. Conclusion: Low T/LH, FSH/LH, and SHBG serum levels and high LH, and E2/T levels may increase the risk of COVID-19. Additionally, the greater is the clinical severity of COVID-19, the higher is the probability of increases in LH, and E2/T serum levels and decreases in T/LH, FSH/LH, and SHBG levels. COVID-19 may have unfavourable effects on gonadal functions, which should be taken seriously by clinicians. Routine monitoring of sex hormone levels might help clinicians to evaluate disease severity in patients with COVID-19.

Obesity is associated with severe disease and mortality in patients with coronavirus disease 2019 (COVID-19): a meta-analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to global research to predict those who are at greatest risk of developing severe disease and mortality. The aim of this meta-analysis was to determine the associations between obesity and the severity of and mortality due to COVID-19. METHODS: We searched the PubMed, EMBASE, Cochrane Library and Web of Science databases for studies evaluating the associations of obesity with COVID-19. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random- or fixed-effects models. Meta-regression analyses were conducted to estimate regression coefficients. RESULTS: Forty-six studies involving 625,153 patients were included. Compared with nonobese patients, obese patients had a significantly increased risk of infection. (OR 2.73, 95% CI 1.53-4.87; I2 = 96.8%), hospitalization (OR 1.72, 95% CI 1.55-1.92; I2 = 47.4%), clinically severe disease (OR 3.81, 95% CI 1.97-7.35; I2 = 57.4%), mechanical ventilation (OR 1.66, 95% CI 1.42-1.94; I2 = 41.3%), intensive care unit (ICU) admission (OR 2.25, 95% CI 1.55-3.27; I2 = 71.5%), and mortality (OR 1.61, 95% CI 1.29-2.01; I2 = 83.1%). CONCLUSION: Patients with obesity may have a greater risk of infection, hospitalization, clinically severe disease, mechanical ventilation, ICU admission, and mortality due to COVID-19. Therefore, it is important to increase awareness of these associations with obesity in COVID-19 patients.

Insulin Treatment May Increase Adverse Outcomes in Patients With COVID-19 and Diabetes: A Systematic Review and Meta-Analysis.

Background and Objective: Recently, insulin treatment has been found to be associated with increased mortality and other adverse outcomes in patients with coronavirus disease 2019 (COVID-19) and diabetes, but the results remain unclear and controversial, therefore, we conducted this meta-analysis. Methods: Four databases, namely, PubMed, Web of Science, EMBASE and the Cochrane Library, were used to identify all studies concerning insulin treatment and the adverse effects of COVID-19, including mortality, incidence of severe/critical complications, in-hospital admission and hospitalization time. To assess publication bias, funnel plots, Begg's tests and Egger's tests were used. The odds ratios (ORs) with 95% confidence intervals (CIs) were used to access the effect of insulin therapy on mortality, severe/critical complications and in-hospital admission. The association between insulin treatment and hospitalization time was calculated by the standardized mean difference (SMD) with 95% CIs. Results: Eighteen articles, involving a total of 12277 patients with COVID-19 and diabetes were included. Insulin treatment was significantly associated with an increased risk of mortality (OR=2.10; 95% CI, 1.51-2.93) and incidence of severe/critical COVID-19 complications (OR=2.56; 95% CI, 1.18-5.55). Moreover, insulin therapy may increase in-hospital admission in patients with COVID-19 and diabetes (OR=1.31; 95% CI, 1.06-1.61). However, there was no significant difference in the hospitalization time according to insulin treatment (SMD=0.21 95% CI, -0.02-0.45). Conclusions: Insulin treatment may increase mortality and severe/critical complications in patients with COVID-19 and diabetes, but more large-scale studies are needed to confirm and explore the exact mechanism.

DPP-4 inhibitors may improve the mortality of coronavirus disease 2019: A meta-analysis.

AIMS: DPP-4 inhibitors are predicted to exert a protective effect on the progression of coronavirus disease 2019 (COVID-19). We conducted this meta-analysis to investigate this hypothesis. METHODS: Four databases, namely, PubMed, Web of Science, EMBASE and the Cochrane Library, were used to identify studies on DPP-4 and COVID-19. The outcome indicators were the mortality of COVID-19. Funnel plots, Begg's tests and Egger's tests were used to assess publication bias. RESULTS: Four articles were included with a total of 1933 patients with COVID-19 and type 2 diabetes. The use of DPP-4 inhibitors was negatively associated with the risk of mortality (odds ratio (OR) = 0.58 95% confidence interval (CI), 0.34-0.99). CONCLUSIONS: DPP-4 inhibitors may improve the mortality of patients with COVID-19 and type 2 diabetes. As few relevant studies are available, more large-scale studies need to be performed.

Hyperglycemia at admission is a strong predictor of mortality and severe/critical complications in COVID-19 patients: a meta-analysis.

BACKGROUND: Hyperglycemia at admission has been demonstrated to exacerbate the outcomes of coronavirus disease 2019 (COVID-19) but a meta-analysis is lacking to further confirm this hypothesis. The purpose of this meta-analysis was to summarize the evidence on the association between hyperglycemia at admission and the development of COVID-19. METHOD: Four databases namely, PubMed, Web of Science, Embase and Cochrane Library, were screened for eligible studies. STATA software was utilized to pool data for this meta-analysis. The primary outcomes included mortality and severity. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with random-effects models, and the quality of evidence was appraised by the Newcastle-Ottawa Scale (NOS). This meta-analysis was prospectively registered online on PROSPERO, CRD42020191763. RESULTS: Sixteen observational studies with 6386 COVID-19 patients relating hyperglycemia at admission to COVID-19 outcomes were included. The overall data demonstrated that, compared with the control, the hyperglycemia at admission group was more likely to have increased mortality (OR = 3.45, 95% CI, 2.26-5.26) and severe/critical complications (OR = 2.08, 95% CI, 1.45-2.99) of COVID-19. CONCLUSION: Hyperglycemia at admission in COVID-19 patients may be a strong predictor of mortality and complications.