Comorbidity drives mortality in newly diagnosed heart failure: a study among geriatric outpatients

BackgroundElderly heart failure (HF) patients frequently have multiple comorbidities. The prognostic impact of combined comorbidities is poorly quantified in these patients. We assessed the impact of comorbidities on 3-year mortality in geriatric outpatients with newly diagnosed HF.Methods and ResultsOf 93 geriatric outpatients with HF (mean age 82.7 years, 36.6% men), 52 patients (55.9%) died within 3 years after HF was diagnosed. Comorbidity was measured with the Charlson Comorbidity Index (CCI). Age- and gender-adjusted hazard ratio (HR) for 3-year mortality was 1.6 (95% confidence interval [CI] 0.9–3.2) for patients with 3–4 CCI points and 3.2 (95% CI 1.5–6.8) for those with >4 CCI points, compared with 1–2 CCI points. After adjustment for age, gender, left ventricular ejection fraction (LVEF), and N-terminal pro–B-type natriuretic peptide, CCI remained predictive of death (CCI 3–4: HR 1.5 (95% CI 0.7–2.9); CCI >4: HR 4.0 (95% CI 1.9–8.8)). In addition to age and gender, the c-statistics for CCI and LVEF were similar (0.63 [95% CI 0.55–0.70] and 0.64 [95% CI 0.56–0.72], respectively).ConclusionsThe majority of geriatric outpatients with new HF die within 3 years. Comorbidity, summarized in the CCI, is the strongest independent predictor of mortality.     

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.     

Disease Course and Outcomes of COVID-19 Among Hospitalized Patients With Gastrointestinal Manifestations

Background & AimsOur understanding of outcomes and disease time course of COVID-19 in patients with gastrointestinal (GI) symptoms remains limited. In this study we characterize the disease course and severity of COVID-19 among hospitalized patients with gastrointestinal manifestations in a large, diverse cohort from the Unites States.MethodsThis retrospective study evaluated hospitalized individuals with COVID-19 between March 11 and April 28, 2020 at two affiliated hospitals in New York City. We evaluated the association between GI symptoms and death, and also explored disease duration, from symptom onset to death or discharge.ResultsOf 2804 patients hospitalized with COVID-19, the 1,084 (38.7%) patients with GI symptoms were younger (aOR for age ≥75, 0.59; 95% CI, 0.45-0.77) and had more co-morbidities (aOR for modified Charlson comorbidity score ≥2, 1.22; 95% CI, 1.01-1.48) compared to those without GI symptoms. Individuals with GI symptoms had better outcomes, with a lower likelihood of intubation (aHR, 0.66; 95% CI, 0.55-0.79) and death (aHR, 0.71; 95% CI, 0.59-0.87), after adjusting for clinical factors. These patients had a longer median disease course from symptom onset to discharge (13.8 vs 10.8 days, log-rank p = .048; among 769 survivors with available symptom onset time), which was driven by longer time from symptom onset to hospitalization (7.4 vs 5.4 days, log-rank P < .01).ConclusionHospitalized patients with GI manifestations of COVID-19 have a reduced risk of intubation and death, but may have a longer overall disease course driven by duration of symptoms prior to hospitalization.     

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.     

Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis

Background and aimsThe ongoing COVID-19 pandemic is disproportionately affecting patients with comorbidities. Therefore, thorough comorbidities assessment can help establish risk stratification of patients with COVID-19, upon hospital admission. Charlson Comorbidity Index (CCI) is a validated, simple, and readily applicable method of estimating the risk of death from comorbid disease and has been widely used as a predictor of long-term prognosis and survival.MethodsWe performed a systematic review and meta-analysis of CCI score and a composite of poor outcomes through several databases.ResultsCompared to a CCI score of 0, a CCI score of 1–2 and CCI score of ≥3 was prognostically associated with mortality and associated with a composite of poor outcomes. Per point increase of CCI score also increased mortality risk by 16%. Moreover, a higher mean CCI score also significantly associated with mortality and disease severity.ConclusionCCI score should be utilized for risk stratifications of hospitalized COVID-19 patients.     

Hypertension is a clinically important risk factor for critical illness and mortality in COVID-19: A meta-analysis

AimsAs reported, hypertension may play an important role in adverse outcomes of coronavirus disease-2019 (COVID-19), but it still had many confounding factors. The aim of this study was to explore whether hypertension is an independent risk factor for critical COVID-19 and mortality.Data synthesisThe Medline, PubMed, Embase, and Web of Science databases were systematically searched until November 2020. Combined odds ratios (ORs) with their 95% confidence interval (CIs) were calculated by using random-effect models, and the effect of covariates was analyzed using the subgroup analysis and meta-regression analysis. A total of 24 observational studies with 99,918 COVID-19 patients were included in the meta-analysis. The proportions of hypertension in critical COVID-19 were 37% (95% CI: 0.27 ?0.47) when compared with 18% (95% CI: 0.14 ?0.23) of noncritical COVID-19 patients, in those who died were 46% (95%CI: 0.37 ?0.55) when compared with 22% (95% CI: 0.16 ?0.28) of survivors. Pooled results based on the adjusted OR showed that patients with hypertension had a 1.82-fold higher risk for critical COVID-19 (aOR: 1.82; 95% CI: 1.19 ? 2.77; P = 0.005) and a 2.17-fold higher risk for COVID-19 mortality (aOR: 2.17; 95% CI: 1.67 ? 2.82; P < 0.001). Subgroup analysis results showed that male patients had a higher risk of developing to the critical condition than female patients (OR: 3.04; 95%CI: 2.06 ? 4.49; P < 0.001) and age >60 years was associated with a significantly increased risk of COVID-19 mortality (OR: 3.12; 95% CI: 1.93 ? 5.05; P < 0.001). Meta-regression analysis results also showed that age (Coef. = 2.3×10^?2, P = 0.048) had a significant influence on the association between hypertension and COVID-19 mortality.ConclusionsEvidence from this meta-analysis suggested that hypertension was independently associated with a significantly increased risk of critical COVID-19 and inhospital mortality of COVID-19.     

Insomnia,Poor Sleep Quality and Sleep Duration,and Risk for COVID-19 Infection and Hospitalization

BackgroundMedical comorbidities increase the risk of severe acute COVID-19 illness. Although sleep problems are common after COVID-19 infection, it is unclear whether insomnia, poor sleep quality, and extremely long or short sleep increase risk of developing COVID-19 infection or hospitalization.MethodsThe study used a cross-sectional survey of a diverse sample of 19,926 US adults.ResultsCOVID-19 infection and hospitalization prevalence rates were 40.1% and 2.9%, respectively. Insomnia and poor sleep quality were reported in 19.8% and 40.1%, respectively. In logistic regression models adjusted for comorbid medical conditions and sleep duration but excluding participants who reported COVID-19-associated sleep problems, poor sleep quality, but not insomnia, was associated with COVID-19 infection (adjusted odds ratio [aOR] 1.16; 95% CI, 1.07-1.26) and COVID-19 hospitalization (aOR 1.50; 95% CI, 1.18-1.91). In comparison with habitual sleep duration of 7-8 hours, sleep durations <7 hours (aOR 1.14; 95% CI, 1.06-1.23) and sleep duration of 12 hours (aOR 1.61; 95% CI, 1.12-2.31) were associated with increased odds of COVID-19 infection. Overall, the relationship between COVID-19 infection and hours of sleep followed a quadratic (U-shaped) pattern. No association between sleep duration and COVID-19 hospitalization was observed.ConclusionIn a general population sample, poor sleep quality and extremes of sleep duration are associated with greater odds of having had a COVID-19 infection; poor sleep quality was associated with an increased requirement of hospitalization for severe COVID-19 illness. These observations suggest that inclusion of healthy sleep practices in public health messaging may reduce the impact of the COVID-19 pandemic.     

Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis

BackgroundMany studies on COVID-19 have reported diabetes to be associated with severe disease and mortality, however, the data is conflicting. The objectives of this meta-analysis were to explore the relationship between diabetes and COVID-19 mortality and severity, and to determine the prevalence of diabetes in patients with COVID-19.MethodsWe searched the PubMed for case-control studies in English, published between Jan 1 and Apr 22, 2020, that had data on diabetes in patients with COVID-19. The frequency of diabetes was compared between patients with and without the composite endpoint of mortality or severity. Random effects model was used with odds ratio as the effect size. We also determined the pooled prevalence of diabetes in patients with COVID-19. Heterogeneity and publication bias were taken care by meta-regression, sub-group analyses, and trim and fill methods.ResultsWe included 33 studies (16,003 patients) and found diabetes to be significantly associated with mortality of COVID-19 with a pooled odds ratio of 1.90 (95% CI: 1.37–2.64; p < 0.01). Diabetes was also associated with severe COVID-19 with a pooled odds ratio of 2.75 (95% CI: 2.09–3.62; p < 0.01). The combined corrected pooled odds ratio of mortality or severity was 2.16 (95% CI: 1.74–2.68; p < 0.01). The pooled prevalence of diabetes in patients with COVID-19 was 9.8% (95% CI: 8.7%–10.9%) (after adjusting for heterogeneity).ConclusionsDiabetes in patients with COVID-19 is associated with a two-fold increase in mortality as well as severity of COVID-19, as compared to non-diabetics. Further studies on the pathogenic mechanisms and therapeutic implications need to be done.     

Health literacy,preventive COVID 19 behaviour and adherence to chronic disease treatment during lockdown among patients registered at primary health facility in urban Jodhpur,Rajasthan

Background and aimsPotential role of health literacy in determining adherence to COVID-19 preventive behavior, pharmacological, and lifestyle management among diagnosed patients of chronic diseases during nationwide lockdown is inadequately investigated.MethodsA cross-sectional study was conducted from May–August 2020 among diagnosed patients of chronic diseases residing in a COVID-19 hotspot of urban Jodhpur, Rajasthan, and availing health services from primary care facility. Telephonic interviews of participants were conducted to determine their health literacy using HLS-EU-Q47 questionnaire, adherence to COVID-19 preventive behaviour as per World Health Organization recommendations, and compliance to prescribed pharmacological and physical activity recommendations for chronic disease.ResultsAll the 605 diagnosed patients of chronic diseases availing services from primary care facility were contacted for the study, yielding response rate of 68% with 412 agreeing to participate. Insufficient health literacy was observed for 65.8% participants. Only about half of participants had scored above median for COVID-19 awareness (55.1%) and preventive behavior (45.1%). Health literacy was observed to be significant predictor of COVID-19 awareness [aOR: 3.53 (95% CI: 1.81–6.88)]; COVID-19 preventive behavior [aOR: 2.06, 95%CI; 1.14–3.69] and compliance to pharmacological management [aOR: 3.05; 95% CI: 1.47–6.35] but not for physical activity.ConclusionCOVID-19 awareness, preventive behavior, and compliance to pharmacological management is associated with health literacy among patients of chronic disease availing services from primary health facility. Focusing on health literacy could thus be an essential strategic intervention yielding long term benefits.     

Impact of congestive heart failure and role of cardiac biomarkers in COVID-19 patients: A systematic review and meta-analysis

BackgroundCoronavirus disease 2019 (COVID-19) has been reported to cause worse outcomes in patients with underlying cardiovascular disease, especially in patients with acute cardiac injury, which is determined by elevated levels of high-sensitivity troponin. There is a paucity of data on the impact of congestive heart failure (CHF) on outcomes in COVID-19 patients.MethodsWe conducted a literature search of PubMed/Medline, EMBASE, and Google Scholar databases from 11/1/2019 till 06/07/2020, and identified all relevant studies reporting cardiovascular comorbidities, cardiac biomarkers, disease severity, and survival. Pooled data from the selected studies was used for metanalysis to identify the impact of risk factors and cardiac biomarker elevation on disease severity and/or mortality.ResultsWe collected pooled data on 5967 COVID-19 patients from 20 individual studies. We found that both non-survivors and those with severe disease had an increased risk of acute cardiac injury and cardiac arrhythmias, our pooled relative risk (RR) was — 8.52 (95% CI 3.63–19.98) (p < 0.001); and 3.61 (95% CI 2.03–6.43) (p = 0.001), respectively. Mean difference in the levels of Troponin-I, CK-MB, and NT-proBNP was higher in deceased and severely infected patients. The RR of in-hospital mortality was 2.35 (95% CI 1.18–4.70) (p = 0.022) and 1.52 (95% CI 1.12–2.05) (p = 0.008) among patients who had pre-existing CHF and hypertension, respectively.ConclusionCardiac involvement in COVID-19 infection appears to significantly adversely impact patient prognosis and survival. Pre-existence of CHF, and high cardiac biomarkers like NT-pro BNP and CK-MB levels in COVID-19 patients correlates with worse outcomes.     

The Role of Current and Historical Alcohol Use in Hepatic Fibrosis Among HIV-Infected Individuals

We examined risk factors for advanced hepatic fibrosis [fibrosis-4 (FIB)-4 >3.25] including both current alcohol use and a diagnosis of alcohol use disorder among HIV-infected patients. Of the 12,849 patients in our study, 2133 (17%) reported current hazardous drinking by AUDIT-C, 2321 (18%) had a diagnosis of alcohol use disorder, 2376 (18%) were co-infected with chronic hepatitis C virus (HCV); 596 (5%) had high FIB-4 scores >3.25 as did 364 (15%) of HIV/HCV coinfected patients. In multivariable analysis, HCV (adjusted odds ratio (aOR) 6.3, 95% confidence interval (CI) 5.2–7.5), chronic hepatitis B (aOR 2.0, 95% CI 1.5–2.8), diabetes (aOR 2.3, 95% CI 1.8–2.9), current CD4 <200 cells/mm³ (aOR 5.4, 95% CI 4.2–6.9) and HIV RNA >500 copies/mL (aOR 1.3, 95% CI 1.0–1.6) were significantly associated with advanced fibrosis. A diagnosis of an alcohol use disorder (aOR 1.9, 95% CI 1.6–2.3) rather than report of current hazardous alcohol use was associated with high FIB-4. However, among HIV/HCV coinfected patients, both current hazardous drinkers (aOR 1.6, 95% CI 1.1–2.4) and current non-drinkers (aOR 1.6, 95% CI 1.2–2.0) were more likely than non-hazardous drinkers to have high FIB-4, with the latter potentially reflecting the impact of sick abstainers. These findings highlight the importance of using a longitudinal measure of alcohol exposure when evaluating the impact of alcohol on liver disease and associated outcomes.     

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.     

Predictors for development of critical illness amongst older adults with COVID-19: Beyond age to age-associated factors

IntroductionOlder adults with COVID-19 have disproportionately higher rates of severe disease and mortality. It is unclear whether this is attributable to age or attendant age-associated risk factors. This retrospective cohort study aims to characterize hospitalized older adults and examine if comorbidities, frailty and acuity of clinical presentation exert an age-independent effect on COVID-19 severity.MethodsWe studied 275 patients admitted to the National Centre of Infectious Disease, Singapore. We measured: 1)Charlson Comorbidity Index(CCI) as burden of comorbidities; 2)Clinical Frailty Scale(CFS) and Frailty Index(FI); and 3)initial acuity. We studied characteristics and outcomes of critical illness, stratified by age groups (50–59,60–69 and ≥70). We conducted hierarchical logistic regression in primary model(N = 262, excluding direct admissions to intensive care unit) and sensitivity analysis(N = 275): age and gender in base model, entering CCI, frailty (CFS or FI) and initial acuity sequentially.ResultsThe ≥70 age group had highest CCI(p<.001), FI(p<.001) and CFS(p<.001), and prevalence of geriatric syndromes (polypharmacy,53.5%; urinary symptoms,37.5%; chronic pain,23.3% and malnutrition,23.3%). Thirty-two (11.6%) developed critical illness. In the primary regression model, age was not predictive for critical illness when a frailty predictor was added. Significant predictors in the final model (AUC 0.809) included male gender (p=.012), CFS (p=.038), and high initial acuity (p=.021) but not CCI or FI. In sensitivity analysis, FI (p=.028) but not CFS was significant.ConclusionsIn hospitalized older adults with COVID-19, geriatric syndromes are not uncommon. Acuity of clinical presentation and frailty are important age-independent predictors of disease severity. CFS and FI provide complimentary information in predicting interval disease progression and rapid disease progression respectively.     

Rituximab is associated with worse COVID-19 outcomes in patients with rheumatoid arthritis: A retrospective,nationally sampled cohort study from the U.S. National COVID Cohort Collaborative (N3C)

ObjectiveTo assess whether rituximab (RTX) is associated with worse COVID-19 outcomes among patients with rheumatoid arthritis (RA).MethodsWe used the National COVID Cohort Collaborative (N3C), the largest US cohort of COVID-19 cases and controls, to identify patients with RA (International Classification of Diseases (ICD)-10 code, M05.X or M06.X). Key outcomes were COVID-19-related hospitalization, intensive care unit (ICU) admission, 30-day mortality, and World Health Organization (WHO) classification for COVID-19 severity. We used multivariable logistic regression models to assess the association between RTX use and the odds of COVID-19 outcomes compared with the use of conventional synthetic disease modifying anti-rheumatic drugs (csDMARDs), adjusting for demographics, medical comorbidities, smoking status, body mass index, US region and COVID-19 treatments.ResultsA total of 69,549 patients met our eligibility criteria of which 22,956 received a COVID-19 positive diagnosis between 1/1/2020 and 9/16/2021. Median (IQR) age of the cohort was 63 (52–72) years, 76% of the cohort was female, 68% was non-Hispanic/Latinx White, and 73% was non-smokers. Prior to their first COVID-19 diagnosis, 364 patients were exposed to RTX. Compared to the use of csDMARDs, RTX use was associated with an increased odds of COVID-19-related hospitalization (adjusted odds ratio [aOR] 2.1, 95% confidence interval 1.5–3.0), ICU admission (aOR 5.2, 1.8–15.4) and invasive ventilation (aOR 2.7, 1.4–5.5). Results were confirmed in multiple sensitivity analyses.ConclusionOur findings can guide patients, providers, and policymakers regarding the increased risks associated with RTX use during the COVID-19 pandemic. These results can help risk stratification and prognosis-assessment.     

Comorbidities’ potential impacts on severe and non-severe patients with COVID-19: A systematic review and meta-analysis

Background:An ongoing outbreak of pneumonia associated with the severe acute respiratory coronavirus (SARS-CoV-2) emerged in December 2019 in Wuhan, China. Epidemiologic evidence suggests that patients with comorbidities and novel coronavirus disease 2019 (COVID-19) infection may have poor survival outcomes. However, the risk of these coexisting medical conditions in severe and non-severe cases has not been systematically reported.Purpose:The present study aimed to estimate the association of chronic comorbidities in severe and non-severe cases.Methods:A literature search was conducted using the databases PubMed, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang Database, Chinese Scientific Journals Full-text Database (CQVIP) from the inception dates to April 1, 2020, to identify cohort studies assessing comorbidity and risk of adverse outcome. Either a fixed- or random-effects model was used to calculate the overall combined risk estimates.Results:A total of 22 studies involving 3286 patients with laboratory-confirmed COVID-19 were included in the analysis. Overall, compared with the patients with non-severe cases, the pooled odds ratios (ORs) of hypertension, diabetes mellitus, and cardiovascular, cerebrovascular, and respiratory diseases in patients with severe cases were 2.79 (95% confidence intervals [95% CI]: 1.66–4.69), 1.64 (95% CI: 2.30–1.08), 1.79 (95% CI: 1.08–2.96), 3.92 (95% CI: 2.45–6.28), and 1.98 (95% CI: 1.26–3.12), respectively.Conclusions:This meta-analysis supports the finding that chronic comorbidities may contribute to severe outcome in patients with COVID-19. According to the findings of the present study, old age and 2 or more comorbidities are significantly impactful to COVID-19 outcomes in hospitalized patients in China.     

Prevalence and prognosis of increased pancreatic enzymes in patients with COVID-19: A systematic review and meta-analysis

IntroductionThe prevalence of increased pancreatic enzymes (elevated serum amylase and/or lipase) and its relationship to clinical outcomes in patients with coronavirus disease 2019 (COVID-19) infection is not known.MethodsA systematic review and meta-analysis of relevant studies reporting prevalence and impact of increased pancreatic enzymes (defined as an elevation in amylase and/or lipase levels above the upper limit of normal [ULN] value) in COVID-19 was undertaken.ResultsA total of 36,496 patients from 21 studies were included for this meta-analysis. The overall prevalence and mortality for increased pancreatic enzymes (>ULN) in COVID-19 were 25.4% (95% CI, 15.8%–36.2%) and 34.6% (95% CI, 25.5%–44.4%), respectively. The overall prevalence and mortality for increased pancreatic enzymes (>3 × ULN) were 6.1% (95% CI, 3.6%–9.2%) and 39.2% (95% CI, 18.7%–61.6%), respectively. Patients with increased pancreatic enzymes, including elevated serum lipase or amylase of either type, had worse clinical outcomes, including need for ICU admission, mechanical ventilation and mortality.DiscussionIncreased pancreatic enzymes is frequent and may exacerbate the consequences of COVID-19 infection.     

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.     

Healthcare Worker Mental Health After the Initial Peak of the COVID-19 Pandemic: a US Medical Center Cross-Sectional Survey

BACKGROUNDThere is a paucity of data on the mental health impact of the Coronavirus disease 2019 (COVID-19) pandemic on United States (US) healthcare workers (HCWs) after the first surge in the spring of 2020.OBJECTIVETo determine the impact of the pandemic on HCWs, and the relationship between HCW mental health and demographics, occupational factors, and COVID-19 concerns.DESIGNCross-sectional survey in an urban medical center (September–November 2020) in Baltimore, MD, in the United States.PARTICIPANTSA total of 605 HCWs (physicians, nurse practitioners, nurses, physician assistants, patient care technicians, respiratory therapists, social workers, mental health therapists, and case managers).MAIN MEASURESMeasures of mental health (Patient Health Questionnaire-2, Generalized Anxiety Disorder-7, PROMIS Sleep Disturbance 4a, Impact of Event Scale-Revised, Maslach Burnout Inventory-2 item, Connor-Davidson Resilience Scale-2 item), demographics, occupational factors, and COVID-19 related concerns.KEY RESULTSFifty-two percent of 1198 HCWs responded to the survey and 14.2% reported depression, 43.1% mild or higher anxiety, 31.6% sleep disturbance, 22.3% posttraumatic stress symptoms, 21.6% depersonalization, 46.0% emotional exhaustion, and 23.1% lower resilience. Relative to HCWs providing in-person care to COVID-19 infected patients none of their working days, those doing so all or most days were more likely to experience worse depression (adjusted odds ratio, 3.9; 95% CI, 1.3–11.7), anxiety (aOR, 3.0; 95% CI, 1.4–6.3), possible PTSD symptoms (aOR, 2.6; 95% CI, 1.1–5.8), and higher burnout (aOR, 2.6; 95% CI, 1.1–6.0). Worse mental health in several domains was associated with higher health fear (aORs ranged from 2.2 to 5.0), job stressors (aORs ranged from 1.9 to 4.0), perceived social stigma/avoidance (aORs ranged from 1.8 to 2.9), and workplace safety concerns (aORs ranged from 1.8 to 2.8).CONCLUSIONSUS HCWs experienced significant mental health symptoms eight months into the pandemic. More time spent providing in-person care to COVID-19-infected patients and greater COVID-19-related concerns were consistently associated with worse mental health.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-021-07251-0.KEY WORDS: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, Healthcare workers, Mental health, Pandemic     

Grip strength as a predictor of disease severity in hospitalized COVID-19 patients

BackgroundGrip strength is one of the main components for the physical functioning in sarcopenia and physical frailty.ObjectivesTo explore the role of grip strength measurement at admission for predicting disease severity in COVID-19.MethodsDemographic data, smoking status, comorbidities, COVID-19 related symptoms, grip strength, laboratory and computed tomography (CT) findings at admission were all noted. Using a Smedley hand dynamometer, the maximum grip strength value (kg) after three measurements on the dominant side was recorded. Low grip strength was defined as two standard deviations below the gender-specific peak mean value of the healthy young adults (<32 kg for males, <19 kg for females). Patients were categorized into three groups according to clinical and CT findings. Severe illness group had pneumonia with a respiratory rate >30/min, oxygen saturation ≤90%, or extensive lung involvement in CT. Moderate illness group had pneumonia with CT score ≤11. Mild illness group had normal CT findings.ResultsThe study population included 312 patients (140 F, 172 M). The distribution of mild, moderate and severe disease groups were 36.9%, 51.0% and 12.2%, respectively. Cough, fever, dyspnea, hypertension, obesity, cardiovascular disease (CVD) and chronic obstructive pulmonary disease (COPD) were most frequent, and C-reactive protein (CRP), ferritin, D-dimer, and neutrophil levels were highest in the severe group (all p<.05). Absolute grip strength values were lowest and the frequency of having low grip strength were highest in the severe group (both p<.01). Since we found that the significant differences were stemming from the severe group, we combined the mild and moderate group as non-severe, and compared severe vs. non-severe groups with binary logistic regression analyses. When age, gender, body mass index, smoking status, presence of comorbidities and low grip strength, and abnormal laboratory findings were taken into analyses; age (odds ratio [OR]: 1.054 [95% confidence interval (CI): 1.020-1.089]), obesity (OR: 2.822 [95% CI: 1.143-6.966]), COPD (OR: 5.699 [95 %CI: 1.231-26.383]), CRP level (OR: 1.023 [95% CI: 1.010-1.036]) and low grip strength (OR: 3.047 [95% CI: 1.146-8.103]) were observed to be independent predictors for severe COVID-19 disease (all p<.05).ConclusionsIn addition to the well-known independent risk factors (i.e. age, obesity, COPD, and CRP level), low grip strength independently increased (about three times) the severity of COVID-19.     

Outcomes of Acute Myocardial Infarction in Patients with Familial Hypercholesteremia

BackgroundThere is a paucity of contemporary data regarding the outcomes of acute myocardial infarction among patients with familial hypercholesteremia.MethodsWe queried the Nationwide Readmissions Database (2016-2018) for hospitalizations with acute myocardial infarction. Multivariable regression analysis was used to compare in-hospital outcomes and 30-day readmissions among patients with and without familial hypercholesteremia.ResultsThe analysis included 1,363,488 hospitalizations with acute myocardial infarction. The prevalence of familial hypercholesteremia was 0.07% among acute myocardial infarction admissions. Compared with those without familial hypercholesteremia, admissions with familial hypercholesteremia were younger and had less comorbidities but were more likely to have had prior infarct and revascularization. Admissions with familial hypercholesteremia were more likely to present with ST-elevation myocardial infarction and undergo revascularization. After multivariable adjustment, there was no difference in in-hospital case fatality among patients with hypercholesteremia compared with those without it (adjusted odds ratio [aOR] = 0.76; 95% confidence interval [CI] 0.41-1.39). Admissions with acute myocardial infarction and familial hypercholesteremia had higher adjusted rates of cardiac arrest and utilization of mechanical support. There were no group differences in overall 30-day readmission (aOR 0.75; 95% CI 0.51-1.10) or 30-day readmission for acute myocardial infarction. However, a nonsignificant trend toward higher readmission for percutaneous coronary intervention was observed among patients with familial hypercholesteremia (aOR 1.89; 95% CI 0.98-3.64).ConclusionIn this contemporary nationwide observational analysis, patients with familial hypercholesteremia represent a small proportion of the overall population with acute myocardial infarction and have a distinctive clinical profile but do not appear to have worse in-hospital case fatality compared with those without familial hypercholesteremia.