Metabolic syndrome and the risk of COVID-19 infection: A nationwide population-based case-control study

Background and aimsMetabolic syndrome (MetS) is a chronic, low-grade inflammatory disease. This study aimed to investigate the impact of MetS on the risk and severity of COVID-19.Methods and resultsWe investigated a nationwide cohort with COVID-19 including all patients who underwent the test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Korea. The COVID-19 group included 4070 patients with positive SARS-CoV-2 test results, and the age- and sex-matched control group included 27,618 subjects with negative SARS-CoV-2 test results. The endpoints were SARS-CoV-2 positivity and the severity of COVID-19. The prevalence of MetS was 24.7% and 24.5% in the COVID-19 and control groups, respectively. The presence of MetS was not associated with the risk of developing COVID-19. Among the components of MetS, central obesity was associated with a higher risk of COVID-19 infection (adjusted odds ratio [aOR], 1.17; 95% confidence interval [CI], 1.06–1.28, P = 0.001). The presence of MetS was significantly associated with severe COVID-19 (aOR, 1.25; 95% CI, 0.78–2.00, P = 0.352). Among the individual components of MetS, prediabetes/diabetes mellitus was associated with a higher risk of severe COVID-19 (aOR, 1.61; 95% CI, 1.21–2.13, P = 0.001). The risk of severe COVID-19 linearly increased according to the number of metabolic components (P for trend = 0.005).ConclusionIn this nationwide cohort study, the individuals with MetS had a significant increase in the risk of severe COVID-19 infection. These patients, particularly those with central obesity and insulin resistance, deserve special attention amid the COVID-19 pandemic.     

Causal associations between COVID-19 and atrial fibrillation: A bidirectional Mendelian randomization study

Background and aimsObservational studies showed that coronavirus disease (2019) (COVID-19) attacks universally and its most menacing progression uniquely endangers the elderly with cardiovascular disease (CVD). The causal association between COVID-19 infection or its severity and susceptibility of atrial fibrillation (AF) remains unknown.Methods and resultsThe bidirectional causal relationship between COVID-19 (including COVID-19, hospitalized COVID-19 compared with not hospitalized COVID-19, hospitalized COVID-19 compared with the general population, and severe COVID-19) and AF are determined by using two-sample Mendelian randomization (MR) analysis. Genetically predicted severe COVID-19 was not significantly associated with the risk of AF [odds ratio (OR), 1.037; 95% confidence interval (CI), 1.005–1.071; P = 0.023, q = 0.115]. In addition, genetically predicted AF was also not causally associated with severe COVID-19 (OR, 0.993; 95% CI, 0.888–1.111; P = 0.905, q = 0.905). There was no evidence to support the association between genetically determined COVID-19 and the risk of AF (OR, 1.111; 95% CI, 0.971–1.272; P = 0.127, q = 0.318), and vice versa (OR, 1.016; 95% CI, 0.976–1.058; P = 0.430, q = 0.851). Besides, no significant association was observed for hospitalized COVID-19 with AF. MR-Egger analysis indicated no evidence of directional pleiotropy.ConclusionOverall, this MR study provides no clear evidence that COVID-19 is causally associated with the risk of AF.     

Physical Activity,Sedentary Behavior,and Risk of Coronavirus Disease 2019

IntroductionData on the associations of prepandemic physical activity and sedentary behavior with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) severity, particularly milder illness, have been limited.MethodsWe used data from 43,913 participants within the Nurses’ Health Study II and Health Professionals Follow-Up Study who responded to periodic COVID-related surveys from May 2020 through March 2021. History of physical activity from the prepandemic period was assessed as the metabolic equivalents of task (MET)-hours per week of various activities of different intensity and sedentary behavior assessed from reports of time spent sitting from questionnaires completed 2016-2017. Multivariable logistic regression models were fitted to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for risk of SARS-CoV-2 infection and COVID-19 severity, as well as predicted COVID-19 defined using a validated symptom-based algorithm.ResultsHigher levels of prepandemic physical activity were associated with a lower risk for SARS-CoV-2 infection. Compared to participants with <3 MET-hours per week, the multivariable-adjusted OR was 0.86 (95% CI: 0.74, 0.99; P trend =.07) for those with ≥27 MET-hours per week. Higher physical activity levels were also associated with lower risk of symptomatic SARS-CoV-2 infection (OR: 0.84; 95% CI: 0.72, 0.99; P trend = .05) and predicted COVID-19 (OR: 0.87; 95% CI: 0.78, 0.97; P trend = .01). Longer time sitting at home watching TV (OR: 0.85; 95% CI: 0.73, 0.97) or for other tasks (OR: 0.78; 95% CI: 0.66, 0.92) was associated with a lower risk of SARS-CoV-2 infection.ConclusionsOur findings support a protective association between prepandemic physical activity and lower risk and severity of COVID-19.     

Myocardial Injury on CMR in Patients With COVID-19 and Suspected Cardiac Involvement

BackgroundMyocardial injury in patients with COVID-19 and suspected cardiac involvement is not well understood.ObjectivesThe purpose of this study was to characterize myocardial injury in a multicenter cohort of patients with COVID-19 and suspected cardiac involvement referred for cardiac magnetic resonance (CMR).MethodsThis retrospective study consisted of 1,047 patients from 18 international sites with polymerase chain reaction–confirmed COVID-19 infection who underwent CMR. Myocardial injury was characterized as acute myocarditis, nonacute/nonischemic, acute ischemic, and nonacute/ischemic patterns on CMR.ResultsIn this cohort, 20.9% of patients had nonischemic injury patterns (acute myocarditis: 7.9%; nonacute/nonischemic: 13.0%), and 6.7% of patients had ischemic injury patterns (acute ischemic: 1.9%; nonacute/ischemic: 4.8%). In a univariate analysis, variables associated with acute myocarditis patterns included chest discomfort (OR: 2.00; 95% CI: 1.17-3.40, P = 0.01), abnormal electrocardiogram (ECG) (OR: 1.90; 95% CI: 1.12-3.23; P = 0.02), natriuretic peptide elevation (OR: 2.99; 95% CI: 1.60-5.58; P = 0.0006), and troponin elevation (OR: 4.21; 95% CI: 2.41-7.36; P < 0.0001). Variables associated with acute ischemic patterns included chest discomfort (OR: 3.14; 95% CI: 1.04-9.49; P = 0.04), abnormal ECG (OR: 4.06; 95% CI: 1.10-14.92; P = 0.04), known coronary disease (OR: 33.30; 95% CI: 4.04-274.53; P = 0.001), hospitalization (OR: 4.98; 95% CI: 1.55-16.05; P = 0.007), natriuretic peptide elevation (OR: 4.19; 95% CI: 1.30-13.51; P = 0.02), and troponin elevation (OR: 25.27; 95% CI: 5.55-115.03; P < 0.0001). In a multivariate analysis, troponin elevation was strongly associated with acute myocarditis patterns (OR: 4.98; 95% CI: 1.76-14.05; P = 0.003).ConclusionsIn this multicenter study of patients with COVID-19 with clinical suspicion for cardiac involvement referred for CMR, nonischemic and ischemic patterns were frequent when cardiac symptoms, ECG abnormalities, and cardiac biomarker elevations were present.     

The Association Between History of Depression and Access to Care Among Medicare Beneficiaries During the COVID-19 Pandemic

BackgroundDepression is associated with a higher risk for experiencing barriers to care, unmet social needs, and poorer economic and mental health outcomes.ObjectiveTo determine the impact of COVID-19 on ability to access care, social and economic needs, and mental health among Medicare beneficiaries with and without depression.Design and ParticipantsCross-sectional study using data from the 2020 Medicare Current Beneficiary Survey COVID-19 Summer Supplement Public Use File.Main MeasuresAccess to medical care, inability to access food, medications, household supplies, pay rent or mortgage, feelings of economic security, and mental health effects since COVID-19, risk-adjusted for sociodemographic and clinical characteristics.Key ResultsParticipants were 11,080 Medicare beneficiaries (nationally representative of 55,960,783 beneficiaries), 27.0% with and 73.0% without a self-reported history of depression. As compared to those without a history of depression, Medicare beneficiaries with a self-reported history of depression were more likely to report inability to get care because of COVID-19 (aOR = 1.28, 95% CI, 1.09, 1.51; P = 0.003), to get household supplies such as toilet paper (aOR = 1.32, 95% CI, 1.10, 1.58; P = 0.003), and to pay rent or mortgage (aOR = 1.64, 95% CI, 1.07, 2.52; P = 0.02). Medicare beneficiaries with a self-reported history of depression were more likely to report feeling less financially secure (aOR = 1.43, 95% CI, 1.22, 1.68; P < 0.001), more stressed or anxious (aOR = 1.68, 95% CI, 1.49, 1.90; P < 0.001), more lonely or sad (aOR = 1.97, 95% CI, 1.68, 2.31; P < 0.001), and less socially connected (aOR = 1.27, 95% CI, 1.10, 1.47; P = 0.001).ConclusionA self-reported history of depression was associated with greater inability to access care, more unmet social needs, and poorer economic and mental health outcomes, suggesting greater risk for adverse health outcomes during COVID-19.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-021-06990-4.Key Words: depression, health services research, stress, primary care, prevention     

Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: A meta-analysis of observational studies

AimsTo estimate the prevalence of established diabetes and its association with the clinical severity and in-hospital mortality associated with COVID-19.Data synthesisWe systematically searched PubMed, Scopus and Web of Science, from 1st January 2020 to 15th May 2020, for observational studies of patients admitted to hospital with COVID-19. Meta-analysis was performed using random-effects modeling. A total of 83 eligible studies with 78,874 hospitalized patients with laboratory-confirmed COVID-19 were included. The pooled prevalence of established diabetes was 14.34% (95% CI 12.62–16.06%). However, the prevalence of diabetes was higher in non-Asian vs. Asian countries (23.34% [95% CI 16.40–30.28] vs. 11.06% [95% CI 9.73–12.39]), and in patients aged ≥60 years vs. those aged <60 years (23.30% [95% CI 19.65–26.94] vs. 8.79% [95% CI 7.56–10.02]). Pre-existing diabetes was associated with an approximate twofold higher risk of having severe/critical COVID-19 illness (n = 22 studies; random-effects odds ratio 2.10, 95% CI 1.71–2.57; I² = 41.5%) and ~threefold increased risk of in-hospital mortality (n = 15 studies; random-effects odds ratio 2.68, 95% CI 2.09–3.44; I² = 46.7%). Funnel plots and Egger's tests did not reveal any significant publication bias.ConclusionsPre-existing diabetes is significantly associated with greater risk of severe/critical illness and in-hospital mortality in patients admitted to hospital with COVID-19.     

Clinical presentation and mortality risk factors for COVID-19 among diabetic patients in a tertiary care center in South India

BackgroundNon-communicable diseases (NCD) like hypertension, diabetes, cardiovascular and cerebrovascular diseases are the most common comorbidities among COVID-19 patients. The clinical presentation and mortality pattern of COVID-19 are different for patients with comorbidities and without comorbidities.ObjectiveTo determine the clinical presentation of COVID-19 and risk factors for COVID-19 mortality among diabetic patients in a tertiary care hospital in South India.MethodsA record-based cross-sectional study was conducted by reviewing the case records of COVID-19 patients admitted for treatment from June 2020 to September 2020 in a tertiary care centre in South India. Potential risk factors for COVID-19 mortality were analysed using univariate binomial logistic regression, generalized linear models (GLM) with the Poisson distribution. Survival curves were made using the Kaplan–Meier method.ResultsOut of 200 COVID-19 patients with diabetes with a mean (SD) age of 56.1 (11.8) years, 61% were men. The median survival time was slightly lesser in male COVID-19 patients (15 days) as compared to female patients (16 days). The risk of mortality among COVID-19 patients with diabetes is increased for patients who presented with breathlessness (aRR = 4.5 (95% CI: 2.3–8.8)), had positive history of smoking (aRR = 1.9 (95% CI: 1.1–3.8)), who had CKD (aRR = 1.8 (95% CI: 1.1–2.8)) and who had cardiac illness (aRR = 1.6 (95% CI: 0.9–2.7)).ConclusionDiabetes patients with COVID-19 need to be given additional care and monitoring especially if they present with breathlessness, positive history of smoking, cardiac illness and, CKD. Public health campaigns and health education activities to control smoking is needed to reduce the COVID-19 mortality in diabetes patients.     

Is Lone Hypertension a Risk Factor for More Severe COVID-19 Outcomes?

Background:Based on current evidence, it is not clear whether lone hypertension increases the risk for severe illness from COVID-19, or if increased risk is mainly associated with age, obesity and diabetes. The objective of the study was to evaluate whether lone hypertension is associated with increase mortality or a more severe course of COVID-19, and if treatment and control of hypertension mitigates this risk.Methods:This is a prospective multi-center observational cohort study with 30-day outcomes of 9,531 consecutive SARS-CoV-2 PCR-positive patients ≥ 18 years old (41.9 ± 9.7 years, 49.2% male), Uzbekistan, June 1-September 30, 2020. Patients were subclassified according to JNC8 criteria into six blood pressure stages. Univariable and multiple logistic regression was conducted to examine how variables predict outcomes.Results:The 30-days all-cause mortality was 1.18% (n = 112) in the whole cohort. After adjusting for age, sex, history of myocardial infarction (MI), type-2 diabetes, and obesity, none of six JNC8 groups showed any significant difference in all-cause mortality. However, age was associated with an increased risk of 30-days all-cause mortality (OR = 1.09, 95%CI [1.07–1.12], p < 0.001), obesity (OR = 7.18, 95% CI [4.18–12.44], p < 0.001), diabetes (OR 4.18, 95% CI [2.58–6.76], p < 0.001), and history of MI (OR = 2.68, 95% CI [1.67–4.31], p < 0.001). In the sensitivity test, being ≥ 65 years old increased mortality 10.56-fold (95% CI [5.89–18.92], p < 0.001). Hospital admission was 12.4% (n = 1,183), ICU admission 1.38% (n = 132). The odds of hospitalization increased having stage-2 untreated hypertension (OR = 4.51, 95%CI [3.21–6.32], p < 0.001), stage-1 untreated hypertension (OR = 1.97, 95%CI [1.52–2.56], p < 0.001), and elevated blood pressure (OR = 1.82, 95% CI [1.42–2.34], p < 0.001). Neither stage-1 nor stage-2 treated hypertension patients were at statistically significant increased risk for hospitalization after adjusting for confounders. Presenting with stage-2 untreated hypertension increased the odds of ICU admission (OR = 3.05, 95 %CI [1.57–5.93], p = 0.001).Conclusions:Lone hypertension did not increase COVID-19 mortality or in treated patients risk of hospitalization.     

Factores de riesgo de muerte hospitalaria en pacientes con infarto agudo de miocardio durante la pandemia de la COVID-19

Introduction and objectivesDespite advances in treatment, patients with acute myocardial infarction (AMI) still exhibit unfavorable short- and long-term prognoses. In addition, there is scant evidence about the clinical outcomes of patients with AMI and coronavirus disease 2019 (COVID-19). The objective of this study was to describe the clinical presentation, complications, and risk factors for mortality in patients admitted for AMI during the COVID-19 pandemic.MethodsThis prospective, multicenter, cohort study included all consecutive patients with AMI who underwent coronary angiography in a 30-day period corresponding chronologically with the COVID-19 outbreak (March 15 to April 15, 2020). Clinical presentations and outcomes were compared between COVID-19 and non-COVID-19 patients. The effect of COVID-19 on mortality was assessed by propensity score matching and with a multivariate logistic regression model.ResultsIn total, 187 patients were admitted for AMI, 111 with ST-segment elevation AMI and 76 with non-ST-segment elevation AMI. Of these, 32 (17%) were diagnosed with COVID-19. GRACE score, Killip-Kimball classification, and several inflammatory markers were significantly higher in COVID-19-positive patients. Total and cardiovascular mortality were also significantly higher in COVID-19-positive patients (25% vs 3.8% [P < .001] and 15.2% vs 1.8% [P = .001], respectively). GRACE score > 140 (OR, 23.45; 95%CI, 2.52–62.51; P = .005) and COVID-19 (OR, 6.61; 95%CI, 1.82-24.43; P = .02) were independent predictors of in-hospital death.ConclusionsDuring this pandemic, a high GRACE score and COVID-19 were independent risk factors associated with higher in-hospital mortality.Full English text available from:www.revespcardiol.org/en     

COVID-19 and Renal Failure — Adding Insult to Injury? Israel’s Experience Based on Nationwide Retrospective Cohort Study

IntroductionRenal failure (RF) is a risk factor for mortality among hospitalized patients. However, its role in COVID-19-related morbidity and mortality is inconclusive. The aim of the study was to determine whether RF is a significant predictor of clinical outcomes in COVID-19 hospitalized patients based on a retrospective, nationwide, cohort study.MethodsThe study sample consisted of patients hospitalized in Israel for COVID-19 in two periods. A random sample of these admissions was selected, and experienced nurses extracted the data from the electronic files. The group with RF on admission was compared to the group of patients without RF. The association of RF with 30-day mortality was investigated using a logistic regression model.ResultsDuring the two periods, 19,308 and 2994 patients were admitted, from which a random sample of 4688 patients was extracted. The 30-day mortality rate for patients with RF was 30% (95% confidence interval (CI): 27–33%) compared to 8% (95% CI: 7–9%) among patients without RF. The estimated OR for 30-day mortality among RF versus other patients was 4.3 (95% CI: 3.7–5.1) and after adjustment for confounders was 2.2 (95% CI: 1.8–2.6). Furthermore, RF patients received treatment by vasopressors and invasive mechanical ventilation (IMV) more frequently than those without RF (vasopressors: 17% versus 6%, OR = 2.8, p<0.0001; IMV: 17% versus 7%, OR = 2.6, p<0.0001).DiscussionRF is an independent risk factor for mortality, IMV, and the need for vasopressors among patients hospitalized for COVID-19 infection. Therefore, this condition requires special attention when considering preventive tools, monitoring, and treatment.KEY WORDS: COVID-19, renal failure, mortality, invasive mechanical ventilation, vasopressors, risk factor     

The Impact of Nirmatrelvir-Ritonavir in Reducing Hospitalizations Among High-Risk Patients With SARS-CoV-2 During the Omicron Predominant Era

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has caused significant morbidity and mortality in high-risk populations. Several therapeutics have been developed to reduce the risk of complications related to COVID-19, hospitalizations, and death. In several studies, nirmatrelvir-ritonavir (NR) was reported to reduce the risk of hospitalizations and death. We aimed to evaluate the efficacy of NR in preventing hospitalizations and death during the Omicron predominant period.MethodsWe retrospectively evaluated patients from June 1, 2022, through September 24, 2022. There were a total of 25,939 documented COVID-19 cases. Using propensity matching, we matched 5754 patients treated with NR with untreated patients.ResultsPostmatching, the median age of the NR-treated group was 58 years (interquartile range, 43-70 years) and 42% were vaccinated. Postmatching composite outcome of the 30-day hospitalization and mortality in the NR-treated group were 0.9% (95% confidence interval [CI]: 0.7%−1.2%) versus 2.1% (95% CI: 1.8%−2.5%) in the matched control group, with a difference of −1.2 (−1.7, −0.8), P value <.01. The difference rates (NR vs. control) in 30-day all-cause hospitalizations and mortality were −1.2% (95% CI: −1.6% to −0.7%, P value <.01) and −0.1% (95% CI: −0.2% to 0.0%, P value = 0.29), respectively. We found similar finding across different age groups (≥65 vs. <65) and the vaccinated group.ConclusionWe report a significant benefit with the use of NR in reducing hospitalizations among various high-risk COVID-19 groups during the Omicron BA.5 predominant period.     

Cardiometabolic Morbidity and Other Prognostic Factors for Mortality in Adult Hospitalized COVID-19 Patients in North Jakarta,Indonesia

Background:Although there have been several studies investigating prognostic factors for mortality in COVID-19, there have been lack of studies in low- and middle-income countries, including Indonesia. To date, the country has the highest mortality rate among Asian countries.Objective:We sought to identify the prognostic factors of mortality in hospitalized patients with COVID-19 in Jakarta.Methods:In this retrospective cohort study, we included all adult inpatients (≥18 years old) with confirmed COVID-19 from Koja General Hospital (North Jakarta, Indonesia) who had been hospitalized between March 20^th and July 31^st, 2020. Demographic, clinical, laboratory, and radiology data were extracted from the medical records and compared between survivors and non-survivors. Univariate and multivariate logistic regression analysis were used to explore the prognostic factors associated with in-hospital death.Results:Two hundred forty-three patients were included in the study, of whom 32 died. Comorbid of hypertension (OR 3.59; 95% CI 1.12–11.48; p = 0.031), obesity (OR 6.34; 95% CI 1.68–23.98; p = 0.007), immediate need of HFNC and/or IMV (OR 64.93; 95% CI 11.08–380.61; p < 0.001), abnormal RDW (OR 3.68; 95% CI 1.09–12.34; p = 0.035), ALC < 1,000/µL (OR 3.51; 95% CI 1.08–11.44; p = 0.038), D-dimer > 500 ng/mL (OR 9.36; 95% CI 1.53–57.12; p = 0.015) on admission, as well as chloroquine treatment (OR 3.61; 95% CI 1.09–11.99; p = 0.036) were associated with greater risk of overall mortality in COVID-19 patients. The likelihood of mortality increased with increasing number of prognostic factors.Conclusion:The potential prognostic factors of hypertension, obesity, immediate need of HFNC and/or IMV, abnormal RDW, ALC < 1,000/µL, D-dimer > 500 ng/mL, and chloroquine treatment could help clinicians to identify COVID-19 patients with poor prognosis at an early stage.     

Association of Cardiovascular Disease With Coronavirus Disease 2019 (COVID-19) Severity: A Meta-Analysis

Observational studies have reported an association between underlying cardiovascular diseases (CVD) and worse prognosis in COVID-19 patients, but this still remains unclear. We conducted a meta-analysis of recent studies that reported the association of CVD with worse prognosis and increased mortality in COVID-19 patients. Literature search through PubMed, the Cochrane Library, and Embase was completed by 2 reviewers from November 1, 2019 to April 20, 2020. Inclusion criteria were observational case-control or cohort studies on COVID-19 patients with a history of CVD included, which reported outcomes of COVID-19 infection severity, clearly outlined the definition of “severe disease” and with sample size >10. Data were abstracted independently by 2 authors. Studies were divided into 2 separate cohorts for analysis: severity (severe vs nonsevere) and mortality (nonsurvivors vs survivors). Data was pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for each outcome. A total of 18 studies (n = 4858 patients) were included. Sixteen studies were from China, while 2 were from the United States. Pre-existing CVD was associated with a significantly increased risk of a severe form of COVID-19 (OR = 3.14; 95% CI 2.32-4.24; I² = 0%; Q = 8.68, P= 0.73) and overall risk of COVID-19 all-cause mortality (OR = 11.08; 95% CI: 2.59-47.32; I² = 55%; P = 0.11). However, this study did not find a significant association between previous history of CVD and mortality in severe COVID-19 disease (OR = 1.72; 95% CI: 0.97-3.06, I² = 0%, P = 0.46). Pre-existing CVD is associated with worse outcomes among patients with COVID-19. Clinicians and policymakers need to take account of these findings in implementing risk stratification models.     

Glucose dysregulation and its association with COVID-19 mortality and hospital length of stay

Background and aimsWe investigate the impact of blood glucose on mortality and hospital length of stay (HLOS) among COVID-19 patients.MethodsRetrospective study of 456 patients with confirmed COVID-19 and glycemic dysregulation in the New York City area.ResultsWe found that impaired glucose adjusted for other organs systems involved (OR:1.87; 95% CI:1.36–2.57, p < 0.001), increased glucose nadir (OR:34.28; 95% CI:3.97–296.05, p < 0.01) and abnormal blood glucose levels at discharge (OR:5.07; 95% CI:2.31–11.14, p < 0.001) were each significantly associated with increased odds for mortality. New or higher from baseline insulin requirement during hospitalization (OR:0.34; 95% CI:0.15–0.78; p < 0.05) was significantly associated with decreased odds for mortality. Increased glucose peak (B = 0.001, SE=<0.001, p < 0.001), new or higher from baseline insulin requirement during hospitalization (B = 0.11, SE = 0.03, p < 0.001), and increased days to dysglycemia (B = 0.15, SE = 0.04, p < 0.001) were each significantly associated with increased HLOS. Increased glucose nadir (B = ?0.67, SE = 0.07, p < 0.001), insulin intravenous drip (B = ?0.10, SE = 0.05, p < 0.05), and increased proportion days endocrine system involved (B = ?0.25, SE = 0.06, p < 0.001) were each significantly associated with decreased HLOS.ConclusionGlucose dysregulation adversely affects mortality and HLOS in COVID-19. These data can help clinicians to guide patient treatment and management in COVID-19 patients.     

Prevalence and clinical outcomes of cardiac injury in patients with COVID-19: A systematic review and meta-analysis

Background and aimsEmerging data have linked the presence of cardiac injury with a worse prognosis in novel coronavirus disease 2019 (COVID-19) patients. However, available data cannot clearly characterize the correlation between cardiac injury and COVID-19. Thus, we conducted a meta-analysis of recent studies to 1) explore the prevalence of cardiac injury in different types of COVID-19 patients and 2) evaluate the association between cardiac injury and worse prognosis (severe disease, admission to ICU, and mortality) in patients with COVID-19.Methods and resultsLiterature search was conducted through PubMed, the Cochrane Library, Embase, and MedRxiv databases. A meta-analysis was performed with Stata 14.0. A fixed-effects model was used if the I² values ≤ 50%, otherwise the random-effects model was performed. The prevalence of cardiac injury was 19% (95% CI: 0.15–0.22, and p < 0.001) in total COVID-19 patients, 36% (95% CI: 0.25–0.47, and p < 0.001) in severe COVID-19 patients, and 48% (95% CI: 0.30–0.66, and p < 0.001) in non-survivors. Furthermore, cardiac injury was found to be associated with a significant increase in the risk of poor outcomes with a pooled effect size (ES) of 8.46 (95% CI: 3.76–19.06, and p = 0.062), severe disease with an ES of 3.54 (95% CI: 2.25–5.58, and p < 0.001), admission to ICU with an ES of 5.03 (95% CI: 2.69–9.39, and p < 0.001), and mortality with an ES of 4.99 (95% CI: 3.38–7.37, and p < 0.001).ConclusionsThe prevalence of cardiac injury was greatly increased in COVID-19 patients, particularly in patients with severe disease and non-survivors. COVID-19 patients with cardiac injury are more likely to be associated with poor outcomes, severity of disease, admission to ICU, and mortality.     

The effect of glucocorticoids on mortality in severe COVID-19 patients: Evidence from 13 studies involving 6612 cases

Background:Since the start of the coronavirus disease 2019 (COVID-19) pandemic, there is an urgent need for effective therapies for patients with COVID-19. In this study, we aimed to assess the therapeutic efficacy of glucocorticoids in severe COVID-19.Methods:A systematic literature search was performed across PubMed, Web of Science, EMBASE, and the Cochrane Library (up to June 26, 2021). The literature investigated the outcomes of interest were mortality and invasive mechanical ventilation.Results:The search identified 13 studies with 6612 confirmed severe COVID-19 patients. Our meta-analysis found that using glucocorticoids could significantly decrease COVID-19 mortality (hazard ratio (HR) 0.60, 95% confidence interval (CI) 0.45–0.79, P < .001), relative to non-use of glucocorticoids. Meanwhile, using glucocorticoids also could significantly decrease the risk of progression to invasive mechanical ventilation for severe COVID-19 patients (HR = 0.69, 95% CI 0.58–0.83, P < .001). Compared with using dexamethasone (HR = 0.68, 95% CI 0.50–0.92, P = .012), methylprednisolone use had a better therapeutic effect for reducing the mortality of patients (HR = 0.35, 95% CI 0.19–0.64, P = .001).Conclusion:The result of this meta-analysis showed that using glucocorticoids could reduce mortality and risk of progression to invasive mechanical ventilation in severe COVID-19 patients.     

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave

BackgroundSocio-demographics and comorbidities are involved in determining the severity and fatality in patients with COVID-19 suggested by studies in various countries, but study in Bangladesh is insufficient.AimsWe designed the study to evaluate the association of sociodemographic and comorbidities with the prognosis of adverse health outcomes in patients with COVID-19 in Bangladesh.MethodsA multivariate retrospective cohort study was conducted on data from 966 RT-PCR positive patients from eight divisions during December 13, 2020, to February 13, 2021. Variables included sociodemographic, comorbidities, symptoms, Charlson comorbidity index (CCI) and access to health facilities. Major outcome was fatality. Secondary outcomes included hospitalization, duration of hospital stay, requirement of mechanical ventilation and severity.ResultsMale (65.8%, 636 of 966) was predominant and mean age was 39.8 ± 12.6 years. Fever (79%), dry cough (55%), and loss of test/smell (51%) were frequent and 74% patients had >3 symptoms. Fatality was recorded in 10.5% patients. Comorbidities were found in 44% patients. Hypertension (21.5%) diabetes (14.6%), and cardiovascular diseases (11.3%) were most prevalent. Age >60 years (OR: 4.83, 95% CI: 2.45–6.49), and CCI >3 (OR: 5.48, 95% CI: 3.95–7.24) were predictors of hospitalizations. CCI >4 (aOR: 3.41, 95% CI: 2.57–6.09) was predictor of severity. Age >60 years (aOR: 3.77, 95% CI: 1.07–6.34), >3 symptoms (aOR: 2.14, 95% CI: 0.97–4.91) and CCI >3 vs. CCI <3 (aOR: 5.23, 95% CI: 3.77–8.09) were independently associated with fatality.ConclusionsIncreased age, >3 symptoms, increasing comorbidities, higher CCI were associated with increased hospitalization, severity and fatality in patients with COVID-19.     

Acute kidney injury in hospitalized patients with COVID-19: A Portuguese cohort

IntroductionThe incidence of acute kidney injury (AKI) in coronavirus disease 2019 (COVID-19) patients ranges from 0.5% to 35% and has been associated with worse prognosis. The purpose of this study was to evaluate the incidence, severity, duration, risk factors and prognosis of AKI in hospitalized patients with COVID-19.MethodsWe conducted a retrospective single-center analysis of 192 hospitalized COVID-19 patients from March to May of 2020. AKI was diagnosed using the Kidney Disease Improving Global Outcome (KDIGO) classification based on serum creatinine (SCr) criteria. Persistent and transient AKI were defined according to the Acute Disease Quality Initiative (ADQI) workgroup definitions.ResultsIn this cohort of COVID-19 patients, 55.2% developed AKI (n = 106). The majority of AKI patients had persistent AKI (n = 64, 60.4%). Overall, in-hospital mortality was 18.2% (n = 35) and was higher in AKI patients (28.3% vs. 5.9%, p < 0.001, unadjusted OR 6.03 (2.22–16.37), p < 0.001). In this multivariate analysis, older age (adjusted OR 1.07 (95% CI 1.02–1.11), p = 0.004), lower Hb level (adjusted OR 0.78 (95% CI 0.60–0.98), p = 0.035), duration of AKI (adjusted OR 7.34 for persistent AKI (95% CI 2.37–22.72), p = 0.001) and severity of AKI (adjusted OR 2.65 per increase in KDIGO stage (95% CI 1.32–5.33), p = 0.006) were independent predictors of mortality.ConclusionAKI was frequent in hospitalized patients with COVID-19. Persistent AKI and higher severity of AKI were independent predictors of in-hospital mortality.     

Predictors of In-Hospital Mortality in Patients With End-Stage Renal Disease Undergoing Transcatheter Aortic Valve Replacement: A Nationwide Inpatient Sample Database Analysis

BackgroundPatients with end-stage renal disease (ESRD) were excluded from all major trials on the safety of transcatheter aortic valve replacement (TAVR). This study aims to identify the predictors of mortality due to the rising rate of TAVR utilization and subsequent mortality in patients with ESRD.MethodsThe National Inpatient Sample (NIS) (2002–2017) was queried to identify all patients with ESRD undergoing TAVR. The trend of all-cause mortality and its predictors were determined using a binary logistic regression model to obtain adjusted odds ratios (aOR).ResultsA total of 6836 patients (6341 survived, 495 died) were included in the analysis. The proportion of demographic and baseline comorbidities for survived vs. non-survived was nearly identical between the two groups. A rising trend in the utilization and mortality of TAVR in ESRD was noted. The adjusted odds of mortality was significantly higher for hypertension (6.92, 95% CI 3.78–12.66, p ≤ 0.0001), liver disease (4.51, 955 CI 3.30–6.17, p ≤ 0.0001), drug abuse (aOR 34.88, 95% CI 12.79–95.13, p ≤ 0.0001), periprocedural pneumonia (aOR 2.80, 95% CI 1.98–3.96, p ≤ 0.0001), cardiogenic shock (aOR, 5.97, 95% CI 4.63–7.70, p ≤ 0.0001), ST-elevation myocardial infarction (aOR 5.13, 95% CI 2.29–11.49, p ≤ 0.0001) and third-degree heart block (aOR 1.47, 955 CI 1.10–1.97, p0.01) in patients with ESRD undergoing TAVR. The mean length of stay and mean number of diagnoses recorded were also significantly higher for non-surviving TAVR patients.ConclusionBaseline hypertension, liver disease, third-degree heart block, periprocedural pneumonia, cardiogenic shock and STEMI can significantly increase the in-hospital mortality rate in ESRD patients undergoing TAVR.     

Lack of association of antihypertensive drugs with the risk and severity of COVID-19: A meta-analysis

BackgroundThe association of antihypertensive drugs with the risk and severity of COVID-19 remains unknown.Methods and ResultsWe systematically searched PubMed, MEDLINE, The Cochrane Library, Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrials.gov, and medRxiv for publications before July 13, 2020. Cohort studies and case-control studies that contain information on the association of antihypertensive agents including angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), calcium-channel blockers (CCBs), β-blockers, and diuretics with the risk and severity of COVID-19 were selected. The random or fixed-effects models were used to pool the odds ratio (OR) with 95% confidence interval (CI) for the outcomes.The literature search yielded 53 studies that satisfied our inclusion criteria, which comprised 39 cohort studies and 14 case-control studies. These studies included a total of 2,100,587 participants. We observed no association between prior usage of antihypertensive medications including ACEIs/ARBs, CCBs, β-blockers, or diuretics and the risk and severity of COVID-19. Additionally, when only hypertensive patients were included, the severity and mortality were lower with prior usage of ACEIs/ARBs (overall OR of 0.81, 95% CI 0.66?0.99, p < 0.05 and overall OR of 0.77, 95% CI 0.66?0.91, p < 0.01).ConclusionsTaken together, usage of antihypertensive drugs is not associated with the risk and severity of COVID-19. Based on the current available literature, it is not recommended to abstain from the usage of these drugs in COVID-19 patients.RegistrationThe meta-analysis was registered on OSF (https://osf.io/ynd5g).