Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19

BackgroundThe impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19).ObjectiveTo evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19.DesignRetrospective cohort study.SettingFour hospitals in an integrated health system serving southeast Michigan.ParticipantsAdult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction.Main MeasuresPatient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment.Key ResultsBlack patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531–56,095) vs. $63,317 (49,850–85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001).ConclusionsNeighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-020-06527-1.KEY WORDS: COVID-19, disparities, disadvantage, socioeconomic status, race     

Digestive system involvement and clinical outcomes among COVID-19 patients: A retrospective cohort study from Qatar

BACKGROUNDCoronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 virus most commonly presents with respiratory symptoms. While gastrointestinal (GI) manifestations either at presentation or during hospitalization are also common, their impact on clinical outcomes is controversial. Some studies have described worse outcomes in COVID-19 patients with GI symptoms, while others have shown either no association or a protective effect. There is a need for consistent standards to describe GI symptoms in COVID-19 patients and to assess their effect on clinical outcomes, including mortality and disease severity.AIMTo investigate the prevalence of GI symptoms in hospitalized COVID-19 patients and their correlation with disease severity and clinical outcomes.METHODSWe retrospectively reviewed 601 consecutive adult COVID-19 patients requiring hospitalization between May 1-15, 2020. GI symptoms were recorded at admission and during hospitalization. Demographic, clinical, laboratory, and treatment data were retrieved. Clinical outcomes included all-cause mortality, disease severity at presentation, need for intensive care unit (ICU) admission, development of acute respiratory distress syndrome, and need for mechanical ventilation. Multivariate logistic regression model was used to identify independent predictors of the adverse outcomes. RESULTSThe prevalence of any GI symptom at admission was 27.1% and during hospitalization was 19.8%. The most common symptoms were nausea (98 patients), diarrhea (76 patients), vomiting (73 patients), and epigastric pain or discomfort (69 patients). There was no difference in the mortality between the two groups (6.21% vs 5.5%, P = 0.7). Patients with GI symptoms were more likely to have severe disease at presentation (33.13% vs 22.5%, P < 0.001) and prolonged hospital stay (15 d vs 14 d, P = 0.04). There was no difference in other clinical outcomes, including ICU admission, development of acute respiratory distress syndrome, or need for mechanical ventilation. Drugs associated with the development of GI symptoms during hospitalization were ribavirin (diarrhea 26.37% P < 0.001, anorexia 17.58%, P = 0.02), hydroxychloroquine (vomiting 28.52%, P = 0.009) and lopinavir/ritonavir (nausea 32.65% P = 0.049, vomiting 31.47% P = 0.004, and epigastric pain 12.65% P = 0.048). In the multivariate regression analysis, age > 65 years was associated with increased mortality risk [odds ratio (OR) 7.53, confidence interval (CI): 3.09-18.29, P < 0.001], ICU admission (OR: 1.79, CI: 1.13-2.83, P = 0.012), and need for mechanical ventilation (OR: 1.89, CI:1.94-2.99, P = 0.007). Hypertension was an independent risk factor for ICU admission (OR: 1.82, CI:1.17-2.84, P = 0.008) and need for mechanical ventilation (OR: 1.66, CI: 1.05-2.62, P = 0.028).CONCLUSIONPatients with GI symptoms are more likely to have severe disease at presentation; however, mortality and disease progression is not different between the two groups.     

Effect of Weekend Admissions on the Treatment Process and Outcomes of Internal Medicine Patients: A Nationwide Cross-Sectional Study

Many studies address the effect of weekend admission on patient outcomes. This population-based study aimed to evaluate the relationship between weekend admission and the treatment process and outcomes of general internal medicine patients in Taiwan.A total of 82,340 patients (16,657 weekend and 65,683 weekday admissions) aged ≥20 years and admitted to the internal medicine departments of 17 medical centers between 2007 and 2009 were identified from the Taiwan National Health Insurance Research Database. A generalized estimating equation (GEE) analysis was used to compare patients admitted on weekends and those admitted on weekdays.Patients who were admitted on weekends were more likely to undergo intubation (odds ratio [OR]: 1.27; 95% confidence interval [CI]: 1.16–1.39; P < 0.001) and/or mechanical ventilation (OR, 1.25; 95% CI, 1.15–1.35; P < 0.001), cardio-pulmonary resuscitation (OR: 1.45; 95% CI: 1.05–2.01; P = 0.026), and be transferred to the intensive care unit (ICU) (OR: 1.16; 95% CI: 1.03–1.30; P = 0.015) compared with those admitted on weekdays. Weekend-admitted patients also had higher odds of in-hospital mortality (OR: 1.19; 95% CI: 1.09–1.30; P < 0.001) and hospital treatment cost (OR: 1.04; 95% CI: 1.01–1.06; P = 0.008) than weekday-admitted patients.General internal medicine patients who were admitted on weekends experienced more intensive care procedures and higher ICU admission, in-hospital mortality, and treatment cost. Intensive care utilization may serve as early indicator of poorer outcomes and a potential entry point to offer preventive intervention before proceeding to intensive treatment.     

COVID-19 In-Hospital Mortality in People with Diabetes Is Driven by Comorbidities and Age—Propensity Score-Matched Analysis of Austrian National Public Health Institute Data

Background: It is a matter of debate whether diabetes alone or its associated comorbidities are responsible for severe COVID-19 outcomes. This study assessed the impact of diabetes on intensive care unit (ICU) admission and in-hospital mortality in hospitalized COVID-19 patients. Methods: A retrospective analysis was performed on a countrywide cohort of 40,632 COVID-19 patients hospitalized between March 2020 and March 2021. Data were provided by the Austrian data platform. The association of diabetes with outcomes was assessed using unmatched and propensity-score matched (PSM) logistic regression. Results: 12.2% of patients had diabetes, 14.5% were admitted to the ICU, and 16.2% died in the hospital. Unmatched logistic regression analysis showed a significant association of diabetes (odds ratio [OR]: 1.24, 95% confidence interval [CI]: 1.15–1.34, p < 0.001) with in-hospital mortality, whereas PSM analysis showed no significant association of diabetes with in-hospital mortality (OR: 1.08, 95%CI: 0.97–1.19, p = 0.146). Diabetes was associated with higher odds of ICU admissions in both unmatched (OR: 1.36, 95%CI: 1.25–1.47, p < 0.001) and PSM analysis (OR: 1.15, 95%CI: 1.04–1.28, p = 0.009). Conclusions: People with diabetes were more likely to be admitted to ICU compared to those without diabetes. However, advanced age and comorbidities rather than diabetes itself were associated with increased in-hospital mortality in COVID-19 patients.     

Non‐HIV‐infected patients with Pneumocystis pneumonia in the intensive care unit: A bicentric,retrospective study focused on predictive factors of in‐hospital mortality

BackgroundThe incidence of Pneumocystis pneumonia (PCP) among patients without human immunodeficiency virus (HIV) infection continues to increase. Here, we identified potential risk factors for in‐hospital mortality among HIV‐negative patients with PCP admitted to the intensive care unit (ICU).MethodsWe retrospectively analyzed medical records of 154 non‐HIV‐infected PCP patients admitted to the ICU at Peking Union Medical College Hospital (PUMCH) and China‐Japan Friendship Hospital (CJFH) from October 2012 to July 2020. Clinical characteristics were examined, and factors related to in‐hospital mortality were analyzed.ResultsA total of 154 patients were enrolled in our study. Overall, the in‐hospital mortality rate was 65.6%. The univariate analysis indicated that nonsurvivors were older (58 vs. 52 years, P = 0.021), were more likely to use high‐dose steroids (≥1 mg/kg/day prednisone equivalent, 39.62% vs. 55.34%, P = 0.047), receive caspofungin during hospitalization (44.6% vs. 28.3%, P = 0.049), require invasive ventilation (83.2% vs. 47.2%, P < 0.001), develop shock during hospitalization (61.4% vs. 20.8%, P < 0.001), and develop pneumomediastinum (21.8% vs. 47.2%, P = 0.001) and had higher Acute Physiology and Chronic Health Evaluation (APACHE) II scores on ICU admission (20.32 vs. 17.39, P = 0.003), lower lymphocyte counts (430 vs. 570 cells/μl, P = 0.014), and lower PaO2/FiO2 values (mmHg) on admission (108 vs. 147, P = 0.001). Multivariate analysis showed that age (odds ratio [OR] 1.03; 95% confidence interval [CI] 1.00–1.06; P = 0.024), use of high‐dose steroids (≥1 mg/kg/day prednisone equivalent) during hospitalization (OR 2.29; 95% CI 1.07–4.90; P = 0.034), and a low oxygenation index on admission (OR 0.99; 95% CI 0.99–1.00; P = 0.014) were associated with in‐hospital mortality.ConclusionsThe mortality rate of non‐HIV‐infected patients with PCP was high, and predictive factors of a poor prognosis were advanced age, use of high‐dose steroids (≥1 mg/kg/day prednisone equivalent) during hospitalization, and a low oxygenation index on admission. The use of caspofungin during hospitalization might have no contribution to the prognosis of non‐HIV‐infected patients with PCP in the ICU.     

Use of DPP4i reduced odds of clinical deterioration and hyperinflammatory syndrome in COVID-19 patients with type 2 diabetes: Propensity score analysis of a territory-wide cohort in Hong Kong

Background and objectivesType 2 diabetes mellitus (T2DM) patients with Coronavirus Disease 2019 (COVID-19) have poorer prognosis. Inconclusive evidence suggested dipeptidyl peptidase-4 inhibitors (DPP4i) might reduce inflammation and prevent Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) entry, hence further evaluation on DPP4i is needed.Methods1214 Patients with T2DM were admitted with COVID-19 between 21st January 2020 and 31st January 2021 in Hong Kong. Exposure was DPP4i use within the 90 days prior to admission for COVID-19. Assessed outcomes included clinical deterioration, clinical improvement, low viral load, positive Immunoglobulin G (IgG) antibody, hyperinflammatory syndrome, proportion of IgG antibody, clinical status and length of hospitalization. Multivariable logistic and linear regression models were performed to estimate odds ratios (OR) and their 95% confidence intervals (CI) of event outcomes and continuous outcomes, respectively.ResultsDPP4i users (N = 107) was associated with lower odds of clinical deterioration (OR=0.71, 95%CI 0.54 to 0.93, P = 0.013), hyperinflammatory syndrome (OR=0.56, 95%CI 0.45 to 0.69, P < 0.001), invasive mechanical ventilation (OR=0.30, 95%CI 0.21 to 0.42, P < 0.001), reduced length of hospitalization (-4.82 days, 95%CI –6.80 to –2.84, P < 0.001), proportion of positive IgG antibody on day-3 (13% vs 8%, p = 0.007) and day-7 (41% vs 26%, P < 0.001), despite lack of association between DPP4i use and in-hospital mortality.ConclusionDPP4i use was associated with reduced odds of clinical deterioration and hyperinflammatory syndrome. Prospective studies are warranted to elucidate the role of DPP4i in T2DM and COVID-19.     

Tocilizumab in the Management of COVID-19: A Preliminary Report

ImportancePneumonia due to COVID-19 can lead to respiratory failure and death due to the development of the acute respiratory distress syndrome. Tocilizumab, a monoclonal antibody targeting the interleukin-6 receptor, is being administered off-label to some patients with COVID-19, and although early small studies suggested a benefit, there are no conclusive data proving its usefulness.ObjectiveTo evaluate outcomes in hospitalized patients with COVID-19 with or without treatment with Tocilizumab.Design, setting, participantsRetrospective study of 1938 patients with confirmed COVID-19 pneumonia admitted to hospitals within the Jefferson Health system in Philadelphia, Pennsylvania, between March 25, 2020 and June 17, 2020, of which 307 received Tocilizumab.ExposuresConfirmed COVID-19 pneumonia.Main outcomes and measuresOutcomes data related to length of stay, admission to intensive care unit (ICU), requirement of mechanical ventilation, and mortality were collected and analyzed.ResultsThe average age was 65.2, with 47% women; 36.4% were African-American. The average length of stay was 22 days with 26.3% of patients requiring admission to the ICU and 14.9% requiring mechanical ventilation. The overall mortality was 15.3%. Older age, admission to an ICU, and requirement for mechanical ventilation were associated with higher mortality. Treatment with Tocilizumab was also associated with higher mortality, which was mainly observed in subjects not requiring care in an ICU with estimated odds ratio (OR) of 2.9 (p = 0.0004). Tocilizumab treatment was also associated with higher likelihood of admission to an ICU (OR = 4.8, p < 0.0001), progression to requiring mechanical ventilation (OR = 6.6, p < 0.0001), and increased length of stay (OR = 16.2, p < 0.0001).Conclusion and relevanceOur retrospective analysis revealed an association between Tocilizumab administration and increased mortality, ICU admission, mechanical ventilation, and length of stay in subjects with COVID-19. Prospective trials are needed to evaluate the true effect of Tocilizumab in this condition.     

Impacto de los inhibidores de la enzima de conversión de la angiotensina y los antagonistas del receptor de la angiotensina II en la COVID-19 en una población occidental. Registro CARDIOVID

Introduction and objectivesCoronavirus disease (COVID-19) has been designated a global pandemic by the World Health Organization. It is unclear whether previous treatment with angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) affects the prognosis of COVID-19 patients. The aim of this study was to evaluate the clinical implications of previous treatment with ACEI/ARB on the prognosis of patients with COVID-19 infection.MethodsSingle-center, retrospective, observational cohort study based on all the inhabitants of our health area. Analyses of main outcomes (mortality, heart failure, hospitalization, intensive care unit [ICU] admission, and major acute cardiovascular events [a composite of mortality and heart failure]) were adjusted by multivariate logistic regression and propensity score matching models.ResultsOf the total population, 447 979 inhabitants, 965 patients (0.22%) were diagnosed with COVID-19 infection, and 210 (21.8%) were under ACEI or ARB treatment at the time of diagnosis. Treatment with ACEI/ARB (combined and individually) had no effect on mortality (OR, 0.62; 95%CI, 0.17-2.26; P = .486), heart failure (OR, 1.37; 95%CI, 0.39-4.77; P = .622), hospitalization rate (OR, 0.85; 95%CI, 0.45-1.64; P = .638), ICU admission (OR, 0.87; 95%CI, 0.30-2.50; P = .798), or major acute cardiovascular events (OR, 1.06; 95%CI, 0.39-2.83; P = .915). This neutral effect remained in a subgroup analysis of patients requiring hospitalization.ConclusionsPrevious treatment with ACEI/ARB in patients with COVID-19 had no effect on mortality, heart failure, requirement for hospitalization, or ICU admission. Withdrawal of ACEI/ARB in patients testing positive for COVID-19 would not be justified, in line with current recommendations of scientific societies and government agencies.     

Clinical characteristics and determinants of mortality in coronavirus disease 2019 (COVID-19) patients on an intensive care unit—a retrospective explorative 1-year all-comers study

BackgroundClinical outcome in patients with coronavirus disease 2019 (COVID-19) requiring treatment on intensive care units (ICU) remains unfavourable. The aim of this retrospective study was to exploratively identify potential predictors of unfavourable outcome in ICU patients diagnosed with COVID-19.MethodsIn all patients with COVID-19 (n=50) or severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) as comorbidity (n=11) at our ICU we assessed clinical, respiratory and laboratory parameters with a potential role for outcome. Main outcome variables were intubation and mortality rates.ResultsBetween March 2020 and March 2021, 573 patients were hospitalized with SARS-CoV-2 infection. Of these, 61 patients (10.6%, 44.3% women) aged 66.4±13.3 were admitted to ICU. A proportion of 73.8% of patients had moderate or severe acute respiratory distress syndrome (ARDS). COVID-19 patients differed clinically from those with SARS-CoV-2 as comorbidity, such as severe heart or renal failure or sepsis as the leading cause of ICU admission, despite similar mortality rates (44.0% vs. 45.5%, P>0.5). Among COVID-19 patients, those who died had more often severe ARDS (91% vs. 46%, P=0.001), longer non-invasive ventilation (NIV) therapy prior to ICU (6.3±5.9 vs. 2.5±2.0 days, P=0.046), and higher interleukin-6 (IL-6) and lactate dehydrogenase (LDH) values as compared to survivors. In multivariable analysis, NIV duration ≥5 days on admission [odds ratio (OR): 42.20, 95% confidence interval (CI): 1.22 to >99, P=0.038] and IL-6 [OR: 4.08, 95% CI: 1.16–14.33, P=0.028] remained independently predictive of mortality. In worsening tertiles of partial pressure of oxygen (pO₂)/inspiratory oxygen fraction (FiO₂) on admission (≥161.5, 96.5 to <161.5, <96.5) we observed a stepwise increase in intubation rates (P=0.0034) and mortality rates (P=0.031).ConclusionsAs inflammation, ARDS severity and longer NIV duration prior to ICU are associated with intubation and mortality rates, prognosis appears to be largely determined by disease severity. Whether NIV aggravates ARDS or if it indicates lack of recovery independent from type of ventilation, or both should be clarified in a prospective trial.     

Outcomes of patients with COVID-19 in the intensive care unit in Mexico: A multicenter observational study

BackgroundAs of June 15, 2020, a cumulative total of 7,823,289 confirmed cases of COVID-19 have been reported across 216 countries and territories worldwide. However, there is little information on the clinical characteristics and outcomes of critically ill patients with severe COVID-19 who were admitted to intensive care units (ICUs) in Latin America. The present study evaluated the clinical characteristics and outcomes of critically ill patients with severe COVID-19 who were admitted to ICUs in Mexico.MethodsThis was a multicenter observational study that included 164 critically ill patients with laboratory-confirmed COVID-19 who were admitted to 10 ICUs in Mexico, from April 1 to April 30, 2020. Demographic data, comorbid conditions, clinical presentation, treatment, and outcomes were collected and analyzed. The date of final follow-up was June 4, 2020.ResultsA total of 164 patients with severe COVID-19 were included in this study. The mean age of patients was 57.3 years (SD 13.7), 114 (69.5%) were men, and 6.0% were healthcare workers. Comorbid conditions were common in patients with critical COVID-19: 38.4% of patients had hypertension and 32.3% had diabetes. Compared to survivors, nonsurvivors were older and more likely to have diabetes, hypertension or other conditions. Patients presented to the hospital a median of 7 days (IQR 4.5–9) after symptom onset. The most common presenting symptoms were shortness of breath, fever, dry cough, and myalgias. One hundred percent of patients received invasive mechanical ventilation for a median time of 11 days (IQR 6–14). A total of 139 of 164 patients (89.4%) received vasopressors, and 24 patients (14.6%) received renal replacement therapy during hospitalization. Eighty-five (51.8%) patients died at or before 30 days, with a median survival of 25 days. Age (OR, 1.05; 95% CI, 1.02–1.08; p<0.001) and C-reactive protein levels upon ICU admission (1.008; 95% CI, 1.003–1.012; p<0.001) were associated with a higher risk of in-hospital death. ICU length of stay was associated with reduced in-hospital mortality risk (OR, 0.89; 95% CI, 0.84–0.94; p<0.001).ConclusionsThis observational study of critically ill patients with laboratory-confirmed COVID-19 who were admitted to the ICU in Mexico demonstrated that age and C-reactive protein level upon ICU admission were associated with in-hospital mortality, and the overall hospital mortality rate was high.Trial registrationClinicalTrials.gov, NCT04336345.     

Hospital outcomes of community-acquired COVID-19 versus influenza: Insights from the Swiss hospital-based surveillance of influenza and COVID-19

BackgroundSince the onset of the COVID-19 pandemic, the disease has frequently been compared with seasonal influenza, but this comparison is based on little empirical data.AimThis study compares in-hospital outcomes for patients with community-acquired COVID-19 and patients with community-acquired influenza in Switzerland.MethodsThis retrospective multi-centre cohort study includes patients > 18 years admitted for COVID-19 or influenza A/B infection determined by RT-PCR. Primary and secondary outcomes were in-hospital mortality and intensive care unit (ICU) admission for patients with COVID-19 or influenza. We used Cox regression (cause-specific and Fine-Gray subdistribution hazard models) to account for time-dependency and competing events with inverse probability weighting to adjust for confounders.ResultsIn 2020, 2,843 patients with COVID-19 from 14 centres were included. Between 2018 and 2020, 1,381 patients with influenza from seven centres were included; 1,722 (61%) of the patients with COVID-19 and 666 (48%) of the patients with influenza were male (p < 0.001). The patients with COVID-19 were younger (median 67 years; interquartile range (IQR): 54–78) than the patients with influenza (median 74 years; IQR: 61–84) (p < 0.001). A larger percentage of patients with COVID-19 (12.8%) than patients with influenza (4.4%) died in hospital (p < 0.001). The final adjusted subdistribution hazard ratio for mortality was 3.01 (95% CI: 2.22–4.09; p < 0.001) for COVID-19 compared with influenza and 2.44 (95% CI: 2.00–3.00, p < 0.001) for ICU admission.ConclusionCommunity-acquired COVID-19 was associated with worse outcomes compared with community-acquired influenza, as the hazards of ICU admission and in-hospital death were about two-fold to three-fold higher.     

Hepatocellular liver injury in hospitalized patients affected by COVID-19: Presence of different risk factors at different time points

BackgroundPrevalence and clinical impact of increased liver function tests in patients affected by Coronavirus disease 2019 (COVID-19) is controversial.AimsThis observational study evaluates the prevalence of transaminases elevation in hospitalized patients affected by COVID-19 and investigates the presence of factors associated with hepatocellular injury and with mortality.MethodsData of 292 adult patients with confirmed COVID-19 admitted to the Ente Ospedaliero Cantonale (Switzerland) were retrospectively analyzed.ResultsTransaminases were increased in about one-third of patients on hospital admission and two-thirds of patients during the hospital stay. On hospital admission, transaminases were more commonly elevated in younger patients, who also reported elevated C reactive protein and a higher degree of respiratory failure. Independent factors associated with abnormal transaminases during hospitalization were drugs, in particular paracetamol (OR=2.67; 95% CI=1.38–5.18; p = 0.004) and remdesivir (OR=5.16; 95% CI=1.10–24.26; p = 0.04). Mortality was independently associated to age (OR = 1.09; 95% CI=1.05–1.13; p<0.001), admission to intensive care unit (OR=5.22; 95% CI=2.28–11.90; p<0.001) and alkaline phosphatase peak (OR=1.01; 95% CI=1.00- 1.01; p = 0.01).ConclusionsOn hospital admission, factors associated with liver damage were linked to demographic and clinical characteristics (age, inflammation and hypoxia) while, during hospitalization, drug treatment was related to development and progression of hepatocellular damage. Mortality was associated with alkaline phosphate peak value.     

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.     

Prognostic Value of Delirium in Patients With Acute Heart Failure in the Intensive Care Unit

BackgroundDelirium is a common adverse event observed in patients admitted to the intensive care unit (ICU). However, the prognostic value of delirium and its determinants have not been thoroughly investigated in patients with acute heart failure (AHF).MethodsWe investigated 408 consecutive patients with AHF admitted to the ICU. Delirium was diagnosed by means of the Confusion Assessment Method for ICU tool and evaluated every 8 hours during the patients’ ICU stays.ResultsDelirium occurred in 109 patients (26.7%), and the in-hospital mortality rate was significantly higher in patients with delirium (13.8% vs 2.3%; P < 0.001). Multivariate logistic regression analysis showed that delirium independently predicted in-hospital mortality (odds ratio [OR] 4.33, confidence interval [CI] 1.62-11.52; P = 0.003). Kaplan-Meier analysis showed that the 12-month mortality rate was significantly higher in patients with delirium compared with those without (log-rank test: P < 0.001), and Cox proportional hazards analysis showed that delirium remained an independent predictor of 12-month mortality (hazard ratio 2.19, 95% CI 1.49-3.25; P < 0.001). The incidence of delirium correlated with severity of heart failure as assessed by means of the Get With The Guidelines–Heart Failure risk score (chi-square test: P = 0.003). Age (OR 1.05, 95% CI 1.02-1.09; P = 0.003), nursing home residential status (OR 3.32, 95% CI 1.59-6.94; P = 0.001), and dementia (OR 5.32, 95% CI 2.83-10.00; P < 0.001) were independently associated with the development of delirium.ConclusionsDevelopment of delirium during ICU stay is associated with short- and long-term mortality and is predicted by the severity of heart failure, nursing home residential, and dementia status.     

Outcomes and Transfer Patterns for First Non-ST-Elevation Myocardial Infarction (NSTEMI): Comparisons Between Community and Tertiary Care Hospitals

BackgroundTransfer patterns, procedure rates, and outcomes of patients with non–ST-segment elevation myocardial infarction (NSTEMI) presenting to Canadian community hospitals are not well understood.MethodsWe documented all patients admitted to British Columbia (BC) hospitals with a primary diagnosis of NSTEMI between 2007 and 2008. Patients were divided by admitting hospital type into tertiary care hospitals, nonremote community hospitals, and remote community hospitals. The aims were to compare transfer rates and time to transfer to a tertiary hospital as well as procedure rates and outcomes at index admission, at 30 days, and at 1 year.ResultsThe mean transfer rates to a tertiary hospital were 72.6% for nonremote and 57.1% for remote community hospitals (P < 0.001). Times to and rates of cardiac procedures differed significantly among these 3 hospital types. Admission to a nonremote or remote community hospital was associated with similar 1-year mortality compared with admission to a tertiary care hospital (nonremote hospitals, adjusted odds ratio [OR], 0.87; P = 0.26; remote hospitals, adjusted OR, 1.19; P = 0.33). At 1 year, admission to a nonremote community hospital was associated with a lower composite outcome of death or readmission for acute myocardial infarction (AMI) (adjusted OR, 0.80; P = 0.04).ConclusionsOne-year mortality rates were not different between patients with NSTEMI admitted to BC community and tertiary care hospitals; however, the rate of readmission for AMI/death was significantly less in patients admitted to nonremote community hospitals. This should prompt the evaluation of key outcomes in NSTEMI in other community hospital settings.     

Advance Care Planning and Treatment Intensity Before Death Among Black,Hispanic, and White Patients Hospitalized with COVID-19

BackgroundBlack and Hispanic people are more likely to contract COVID-19, require hospitalization, and die than White people due to differences in exposures, comorbidity risk, and healthcare access.ObjectiveTo examine the association of race and ethnicity with treatment decisions and intensity for patients hospitalized for COVID-19.DesignRetrospective cohort analysis of manually abstracted electronic medical records.Patients7,997 patients (62% non-Hispanic White, 16% non-Black Hispanic, and 23% Black) hospitalized for COVID-19 at 135 community hospitals between March and June 2020Main MeasuresAdvance care planning (ACP), do not resuscitate (DNR) orders, intensive care unit (ICU) admission, mechanical ventilation (MV), and in-hospital mortality. Among decedents, we classified the mode of death based on treatment intensity and code status as treatment limitation (no MV/DNR), treatment withdrawal (MV/DNR), maximal life support (MV/no DNR), or other (no MV/no DNR).Key ResultsAdjusted in-hospital mortality was similar between White (8%) and Black patients (9%, OR=1.1, 95% CI=0.9–1.4, p=0.254), and lower among Hispanic patients (6%, OR=0.7, 95% CI=0.6–1.0, p=0.032). Black and Hispanic patients were significantly more likely to be treated in the ICU (White 23%, Hispanic 27%, Black 28%) and to receive mechanical ventilation (White 12%, Hispanic 17%, Black 16%). The groups had similar rates of ACP (White 12%, Hispanic 12%, Black 11%), but Black and Hispanic patients were less likely to have a DNR order (White 13%, Hispanic 8%, Black 7%). Among decedents, there were significant differences in mode of death by race/ethnicity (treatment limitation: White 39%, Hispanic 17% (p=0.001), Black 18% (p<0.0001); treatment withdrawal: White 26%, Hispanic 43% (p=0.002), Black 28% (p=0.542); and maximal life support: White 21%, Hispanic 26% (p=0.308), Black 36% (p<0.0001)).ConclusionsHospitalized Black and Hispanic COVID-19 patients received greater treatment intensity than White patients. This may have simultaneously mitigated disparities in in-hospital mortality while increasing burdensome treatment near death.KEY WORDS: COVID-19, racial disparities, terminal care, mortality, intensive care unit, mechanical ventilation, do not resuscitate order, advance care planning, hospital medicine, medical decision-making     

Obesity or increased body mass index and the risk of severe outcomes in patients with COVID-19: A protocol for systematic review and meta-analysis

Background:To assess the effect of obesity or a high body mass index (BMI) on the risk of severe outcomes in patients with coronavirus disease 2019 (COVID-19).Methods:Studies on the relationship between BMI or obesity and COVID-19 since December 2019. The odds ratio (OR) and weighted mean difference (WMD) with their 95% confidence intervals (CIs) were used to assess the effect size.Results:BMI was significantly increased in COVID-19 patients with severe illness (WMD: 1.18; 95% CI: 0.42–1.93), who were admitted to an intensive care unit (ICU) (WMD: 1.46; 95% CI: 0.96–1.97), who required invasive mechanical ventilation (IMV) (WMD: 2.70, 95% CI: 1.05–4.35) and who died (WMD: 0.91, 95% CI: 0.02–1.80). In Western countries, obesity (BMI of ≥30 kg/m²) increased the risk of hospitalization (OR: 2.08; 95% CI: 1.22–3.54), admission to an ICU (OR: 1.54; 95% CI: 1.29–1.84), need for IMV (OR: 1.73, 95% CI: 1.38–2.17), and mortality (OR: 1.43; 95% CI: 1.17–1.74) of patients with COVID-19. In the Asian population, obesity (BMI of ≥28 kg/m²) increased the risk of severe illness (OR: 3.14; 95% CI: 1.83–5.38). Compared with patients with COVID-19 and a BMI of <25 kg/m², those with a BMI of 25–30 kg/m² and ≥30 kg/m² had a higher risk of need for IMV (OR: 2.19, 95% CI: 1.30–3.69 and OR: 3.04; 95% CI: 1.76–5.28, respectively). The risk of ICU admission in patients with COVID-19 and a BMI of ≥30 kg/m² was significantly higher than in those with a BMI of 25–30 kg/m² (OR: 1.49; 95% CI: 1.00–2.21).Conclusion:As BMI increased, the risks of hospitalization, ICU admission, and need for IMV increased, especially in COVID-19 patients with obesity.Ethics and dissemination:This systematic review and meta-analysis does not require an ethics approval as it does not collect any primary data from patients.     

The prognostic value of IL-8 for the death of severe or critical patients with COVID-19

Inflammation has been believed to contribute to coronavirus disease 2019 (COVID-19). Risk factors for death of COVID-19 pneumonia have not yet been well established.In this retrospective cohort study, we included the deceased patients in COVID-19 specialized ICU with laboratory-confirmed COVID-19 from Guanggu hospital area of Tongji Hospital from February 8th to March 30th. Demographic, clinical, laboratory, and outcome data were extracted from electronic medical records using a standard data collection form. We used Spearman rank correlation and Cox regression analysis to explore the risk factors associated with in-hospital death, especially the association between inflammatory cytokines and death.A total of 205 severe/critical COVID-19 pneumonia patients were admitted in the COVID-19 specialized ICU and 75 deceased patients were included in the final analysis. The median age of the deceasing patients was 70 years (IQR 65–79). The common symptoms were fever (78.9%), cough (70.4%), and expectoration (39.4%). The BNP and CRP levels were far beyond the normal reference range. In the Spearman rank correlation analysis, IL-8 was found to be significantly associated with the time from onset to death (r_s= −0.30, P = .034) and that from admission to death (r_s= −0.32, P = .019). Cox regression showed after adjusting age and sex, IL-8 levels were still significantly associated with the time from onset to death (P = .003) and that from admission to death (P = .01).IL-8 levels were associated with in-hospital death in severe/critical COVID-19 patients, which could help clinicians to identify patients with high risk of death at an early stage.     

SARS-CoV-2 testing in patients with low COVID-19 suspicion at admission to a tertiary care hospital,Stockholm, Sweden,March to September 2020

BackgroundUniversal SARS-CoV-2 testing at hospital admission has been proposed to prevent nosocomial transmission.AimTo investigate SARS-CoV-2 positivity in patients tested with low clinical COVID-19 suspicion at hospital admission.MethodsWe characterised a retrospective cohort of patients admitted to Karolinska University Hospital tested for SARS-CoV-2 by PCR from March to September 2020, supplemented with an in-depth chart review (16 March–12 April). We compared positivity rates in patients with and without clinical COVID-19 suspicion with Spearman’s rank correlation coefficient. We used multivariable logistic regression to identify factors associated with test positivity.ResultsFrom March to September 2020, 66.9% (24,245/36,249) admitted patient episodes were tested; of those, 61.2% (14,830/24,245) showed no clinical COVID-19 suspicion, and the positivity rate was 3.2% (469/14,830). There was a strong correlation of SARS-CoV-2 positivity in patients with low vs high COVID-19 suspicion (rho = 0.92; p < 0.001).From 16 March to 12 April, the positivity rate was 3.9% (58/1,482) in individuals with low COVID-19 suspicion, and 3.1% (35/1,114) in asymptomatic patients. Rates were higher in women (5.0%; 45/893) vs men (2.0%; 12/589; p = 0.003), but not significantly different if pregnant women were excluded (3.7% (21/566) vs 2.2% (12/589); p = 0.09). Factors associated with SARS-CoV-2 positivity were testing of pregnant women before delivery (odds ratio (OR): 2.6; 95% confidence interval (CI): 1.3–5.4) and isolated symptoms in adults (OR: 3.3; 95% CI: 1.8–6.3).ConclusionsThis study shows a relatively high SARS-CoV-2 positivity rate in patients with low COVID-19 suspicion upon hospital admission. Universal SARS-CoV-2 testing of pregnant women before delivery should be considered.     

Statins and clinical outcomes with COVID-19: Meta-analyses of observational studies

AimsPeople with cardiovascular disease or risk factors are at increased risk when exposed to SARS-CoV-2. Most are treated with statins, but the impact of these drugs on clinical outcomes of COVID-19 remains unclear. This report is therefore based on meta-analyses of retrospective observational studies aimed at investigating the impact of previous statin therapy in patients hospitalized for COVID-19.MethodsIn studies reporting on the clinical outcomes of COVID-19 in statin users vs non-users, two endpoints have been used—in-hospital death rates, and disease severity as assessed by admission to intensive care units (ICUs)—with a special focus on patients with diabetes.ResultsRegarding mortality, 13 studies were included in the meta-analysis for a total of 10,829 statin users (2517 deaths) and 31,893 non-users (7516 deaths): univariate analysis showed no statistically significant reduction in deaths (OR: 0.97, 95% CI: 0.92–1.03), although between-study heterogeneity was high (I² = 97%). As for disease severity, 11 studies were selected for a total of 3462 statin users (724 endpoints) and 10,560 non-users (1763 endpoints): here again, univariate analysis showed no reduction in severity (OR: 1.09, 95% CI: 0.99–1.22; I² = 93%). Collectively, in 10 studies using multivariable analysis adjusted for the more prevalent baseline risk factors among statin users, lower OR values were reported than with univariate analyses (0.73 ± 0.31 vs 1.44 ± 0.84, respectively; P = 0.0028; adjusted OR: P = 0.0237 vs non-users). Limited but conflicting findings were observed for diabetes patients.ConclusionAlthough no significant reductions in either in-hospital mortality or COVID-19 severity were reported among statin users compared with non-users after univariate comparisons, such reductions were observed after adjusting for confounding factors. These highly heterogeneous observational findings now require confirmation by ongoing randomized clinical trials.