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Background: The coronavirus disease 2019 (COVID-19) pandemic has led to a public health crisis. Only limited data are available on the characteristics and outcomes of patients hospitalized for COVID-19 in France. Aims: To investigate the characteristics, cardiovascular complications and outcomes of patients hospitalized for COVID-19 in France. Methods: The Critical COVID-19 France (CCF) study is a French nationwide study including all consecutive adults with a diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection hospitalized in 24 centres between 26 February and 20 April 2020. Patients admitted directly to intensive care were excluded. Clinical, biological and imaging parameters were systematically collected at hospital admission. The primary outcome was in-hospital death. Results: Of 2878 patients included (mean ± SD age 66.6 ± 17.0 years, 57.8% men), 360 (12.5%) died in the hospital setting, of which 7 (20.7%) were transferred to intensive care before death. The majority of patients had at least one (72.6%) or two (41.6%) cardiovascular risk factors, mostly hypertension (50.8%), obesity (30.3%), dyslipidaemia (28.0%) and diabetes (23.7%). In multivariable analysis, older age (hazard ratio [HR] 1.05, 95% confidence interval [CI] 1.03−1.06; P < 0.001), male sex (HR 1.69, 95% CI 1.11−2.57; P = 0.01), diabetes (HR 1.72, 95% CI 1.12−2.63; P = 0.01), chronic kidney failure (HR 1.57, 95% CI 1.02−2.41; P = 0.04), elevated troponin (HR 1.66, 95% CI 1.11−2.49; P = 0.01), elevated B-type natriuretic peptide or N-terminal pro-B-type natriuretic peptide (HR 1.69, 95% CI 1.0004−2.86; P = 0.049) and quick Sequential Organ Failure Assessment score ≥ 2 (HR 1.71, 95% CI 1.12−2.60; P = 0.01) were independently associated with in-hospital death. Conclusions: In this large nationwide cohort of patients hospitalized for COVID-19 in France, cardiovascular comorbidities and risk factors were associated with a substantial morbi-mortality burden.

Highlights • CT severity score (CSS) could predict ICU admission, intubation, and mortality. • Reticular pattern in lung CT scans, could be protective against adverse outcomes. • CSS was weakly correlated with initial qSOFA score. • CSS could not predict the length of stay in hospital., Background Chest computed tomography (CT) scan is frequently used in the diagnosis of COVID-19 pneumonia. Objectives This study investigates the predictive value of CT severity score (CSS) for length-of-stay (LOS) in hospital, initial disease severity, ICU admission, intubation, and mortality. Methods In this retrospective study, initial CT scans of consecutively admitted patients with COVID-19 pneumonia were reviewed in a tertiary hospital. The association of CSS with the severity of disease upon admission and the final adverse outcomes was assessed using Pearson's correlation test and logistic regression, respectively. Results Total of 121 patients (60±16 years), including 54 women and 67 men, with positive RT-PCR tests were enrolled. We found a significant but weak correlation between CSS and qSOFA, as a measure of disease severity (r: 0.261, p = 0.003). No significant association was demonstrated between CSS and LOS. Patients with CSS>8 had at least three-fold higher risk of ICU admission, intubation, and mortality. Conclusions CSS in baseline CT scan of patients with COVID-19 pneumonia can predict adverse outcomes and is weakly correlated with initial disease severity.

Background Patients with coronavirus disease 2019 (COVID-19) and underlying cardiovascular comorbidities have poor prognoses. Our aim was to identify the impact of serum lactate dehydrogenase (LDH), which is associated with mortality in acute respiratory distress syndrome, on the prognoses of patients with COVID-19 and underlying cardiovascular comorbidities. Methods Among 1518 patients hospitalized with COVID-19 enrolled in the CLAVIS-COVID (Clinical Outcomes of COVID-19 Infection in Hospitalized Patients with Cardiovascular Diseases and/or Risk Factors study), 515 patients with cardiovascular comorbidities were analyzed. Patients were divided into tertiles based on LDH levels at admission [tertile 1 (T1), Graphical abstract Image, graphical abstract

Summary Background Although cardiovascular comorbidities seem to be strongly associated with worse outcomes in patients with coronavirus disease 2019 (COVID-19), data regarding patients with preexisting heart failure are limited. Aims To investigate the incidence, characteristics and clinical outcomes of patients with COVID-19 with a history of heart failure with preserved or reduced ejection fraction. Methods We performed an observational multicentre study including all patients hospitalized for COVID-19 across 24 centres in France from 26 February to 20 April 2020. The primary endpoint was a composite of in-hospital death or need for orotracheal intubation. Results Overall, 2809 patients (mean age 66.4 ± 16.9 years) were included. Three hundred and seventeen patients (11.2%) had a history of heart failure; among them, 49.2% had heart failure with reduced ejection fraction and 50.8% had heart failure with preserved ejection fraction. COVID-19 severity at admission, defined by a quick sequential organ failure assessment score > 1, was similar in patients with versus without a history of heart failure. Before and after adjustment for age, male sex, cardiovascular comorbidities and quick sequential organ failure assessment score, history of heart failure was associated with the primary endpoint (hazard ratio [HR]: 1.41, 95% confidence interval [CI]: 1.06–1.90; P = 0.02). This result seemed to be mainly driven by a history of heart failure with preserved ejection fraction (HR: 1.61, 95% CI: 1.13–2.27; P = 0.01) rather than heart failure with reduced ejection fraction (HR: 1.19, 95% CI: 0.79–1.81; P = 0.41). Conclusions History of heart failure in patients with COVID-19 was associated with a higher risk of in-hospital death or orotracheal intubation. These findings suggest that patients with a history of heart failure, particularly heart failure with preserved ejection fraction, should be considered at high risk of clinical deterioration.

Objective To describe the clinical characteristics, outcomes, and risk factors for death of patients with coronavirus disease 2019 (COVID-19) in a community hospital setting. Patients and Methods This single-center retrospective cohort study included 313 adult patients with laboratory-confirmed COVID-19 admitted to a community hospital in Cook County, Illinois, from March 1, 2020, to May 25, 2020. Demographics, medical history, underlying comorbidities, symptoms, signs, laboratory findings, imaging studies, management, and progression to discharge or death data were collected and analyzed. Results Of 313 patients, the median age was 68 years (interquartile range, 59.0-78.5 years; range, 19-98 years), 182 (58.1%) were male, 119 (38%) were white, and 194 (62%) were admitted from a long-term care facility (LTCF). As of May 25, 2020, there were 212 (67.7%) survivors identified, whereas 101 (32.3%) nonsurvivors were identified. Multivariable Cox regression analysis showed increasing hazards of inpatient death associated with older age (hazard ratio [HR] 1.02; 95% CI, 1.01-1.04), LTCF residence (HR, 3.23; 95% CI, 1.68-6.20), and quick Sequential Organ Failure Assessment scores (HR, 2.59; 95% CI, 1.78-3.76). Conclusion In this single-center retrospective cohort study of 313 adult patients hospitalized with COVID-19 illness in a community hospital in Cook County, Illinois, older patients, LTCF residents, and patients with high quick Sequential Organ Failure Assessment scores were found to have worse clinical outcomes and increased risk of death.

Objectives The assessment of illness severity at admission can contribute to decreased mortality in patients with the coronavirus disease (COVID-19). This study was conducted to evaluate the effectiveness of the Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) scoring systems at admission for the prediction of mortality risk in COVID-19 patients. Methods We included 140 critically ill COVID-19 patients. Data on demographics, clinical characteristics, and laboratory findings at admission were used to calculate SOFA and qSOFA against the in-hospital outcomes (survival or death) that were ascertained from the medical records. The predictive accuracy of both scoring systems was evaluated by the receiver operating characteristic (ROC) curve analysis. Results The area under the ROC curve for SOFA in predicting mortality was 0.890 (95% CI: 0.826–0.955), which was higher than that of qSOFA (0.742, 95% CI 0.657–0.816). An optimal cutoff of ≥3 for SOFA had sensitivity, specificity, positive predictive value, and negative predictive value of 90.00%, 83.18%, 50.00%, and 97.80%, respectively. Conclusions This novel report indicates that SOFA could function as an effective adjunctive risk-stratification tool at admission for critical COVID-19 patients. The performance of qSOFA is accepted but inferior to that of SOFA.