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The evolution of patients hospitalized with coronavirus disease 2019 (COVID-19) is still hard to predict, even after several months of dealing with the pandemic.To develop and validate a score to predict outcomes in patients hospitalized with COVID-19.All consecutive adults hospitalized for COVID-19 from February to April 2020 were included in a nationwide observational study. Primary composite outcome was transfer to an intensive care unit from an emergency department or conventional ward, or in-hospital death. A score that estimates the risk of experiencing the primary outcome was constructed from a derivation cohort using stacked LASSO (Least Absolute Shrinkage and Selection Operator), and was tested in a validation cohort.Among 2873 patients analysed (57.9% men; 66.6±17.0 years), the primary outcome occurred in 838 (29.2%) patients: 551 (19.2%) were transferred to an intensive care unit; and 287 (10.0%) died in-hospital without transfer to an intensive care unit. Using stacked LASSO, we identified 11 variables independently associated with the primary outcome in multivariable analysis in the derivation cohort (n=2313), including demographics (sex), triage vitals (body temperature, dyspnoea, respiratory rate, fraction of inspired oxygen, blood oxygen saturation) and biological variables (pH, platelets, C-reactive protein, aspartate aminotransferase, estimated glomerular filtration rate). The Critical COVID-19 France (CCF) risk score was then developed, and displayed accurate calibration and discrimination in the derivation cohort, with C-statistics of 0.78 (95% confidence interval 0.75-0.80). The CCF risk score performed significantly better (i.e. higher C-statistics) than the usual critical care risk scores.The CCF risk score was built using data collected routinely at hospital admission to predict outcomes in patients with COVID-19. This score holds promise to improve early triage of patients and allocation of healthcare resources.

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.

Introduction: Smartwatch ECGs (SW-ECG) have been identified as a noninvasive solution to assess abnormal heart rhythms, especially atrial arrhythmias (AA) which are related to stroke risk. This study assesses the detection of AA with the Apple Watch and compares the accuracy of two algorithms, the original companion application (ECG 1.0 App) and a novel deep neural network (DNN), in a population typical of an electrophysiology department. Hypothesis/Objective: To determine if a novel DNN can improve the detection of AA on SW-ECGs. Methods: 146 simultaneous pairs of 12-lead ECGs (GE Mac 2000 or Mindray BeneHeart R12) and SW-ECGs have been collected on 144 patients from the electrophysiology department of one tertiary center. 12-lead ECGs were adjudicated by an expert electrophysiologist as 40 AA and 106 not AA and considered as ground truth. The SW-ECGs were processed by the ECG 1.0 App and the DNN in parallel. The proportions of inconclusive diagnoses returned and the performances were assessed and compared. Results: Overall, the ECG 1.0 App yielded inconclusive diagnoses for 25% (37/146) of all SW-ECGs while the DNN reduced that number to 1% (2/146). After excluding SW-ECGs with an inconclusive diagnosis (37/146), the ECG 1.0 App and the DNN had a sensitivity of 62% (95% CI, 55%-70%) and 96% (95% CI, 93%-99%) respectively, and both had a specificity of 95% (95% CI, 92%-99%). Conclusions: A novel DNN improved the performance for the detection of AA. It reduced the burden of inconclusive diagnostics by 24% and improved the sensitivity by 34% with no change in specificity. Routine application of this SW-ECG analysis offers significant promise in arrhythmia diagnosis. Further investigations are needed to assess the classification of atrial arrhythmias more precisely.

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.

Background. – Although women account for up to half of patients hospitalized for coronavirus disease 2019 (COVID-19), no specific data have been reported in this population. Aims. − To assess the burden and impact of cardiovascular comorbidities in women with COVID-19. Methods. − All consecutive patients hospitalized for COVID-19 across 24 hospitals from 26 February to 20 April 2020 were included. The primary composite outcome was transfer to an intensive care unit or in-hospital death. Results. − Among 2878 patients, 1212 (42.1%) were women. Women were older (68.3 ± 18.0 vs 65.4 ± 16.0 years; P < 0.001), but had less prevalent cardiovascular comorbidities than men. Among women, 276 (22.8%) experienced the primary outcome, including 161 (13.3%) transfers to an intensive care unit and 115 (9.5%) deaths without transfer to intensive care unit. The rate of in-hospital death or transfer to an intensive care unit was lower in women versus men (crude hazard ratio [HR] 0.62, 95% confidence interval [CI] 0.53–0.72). Age (adjusted HR 1.05 per 5-year increase, 95% CI 1.01–1.10), body mass index (adjusted HR 1.06 per 2-unit increase, 95% CI 1.02–1.10), chronic kidney disease (adjusted HR 1.57, 95% CI 1.11–2.22) and heart failure (adjusted HR 1.52, 95% CI 1.04–2.22) were independently associated with the primary outcome in women. Elevated B-type natriuretic peptide/N-terminal prohormone of B-type natriuretic peptide (adjusted HR 2.41, 95% CI 1.70–3.44) and troponin (adjusted HR 2.00, 95% CI 1.39–2.88) concentrations at admission were also associated with the primary outcome, even in women free of previous coronary artery disease or heart failure. Conclusions. – Although female sex was associated with a lower risk of transfer to an intensive care unit or in-hospital death, COVID-19 remained associated with considerable morbimortality in women, especially in those with cardiovascular diseases.

Background: Coronavirus disease 2019 (COVID-19) has been associated with coagulation disorders, in particular high concentrations of D-dimers, and increased frequency of venous thromboembolism. Aim: To explore the association between D-dimers at admission and in-hospital mortality in patients hospitalized for COVID-19, with or without symptomatic venous thromboembolism. Methods: From 26 February to 20 April 2020, D-dimer concentration at admission and outcomes (in-hospital mortality or venous thromboembolism) of patients hospitalized for COVID-19 in medical wards were analysed retrospectively in a multicentre study in 24 French hospitals. Results: Among 2878 patients enrolled in the study, 1154 (40.1%) patients had D-dimer measurement at admission. Receiver operating characteristic curve analysis identified a D-dimer concentration > 1128 ng/mL as the optimum cut-off value for in-hospital mortality (area under the curve 64.9%, 95% confidence interval [CI] 0.60–0.69), with a sensitivity of 71.1% (95% CI 0.62–0.78) and a specificity of 55.6% (95% CI 0.52–0.58), which did not differ in the subgroup of patients with venous thromboembolism during hospitalization. Among 545 (47.2%) patients with D-dimer concentration > 1128 ng/mL at admission, 86 (15.8%) deaths occurred during hospitalization. After adjustment, in Cox proportional hazards and logistic regression models, D-dimer concentration > 1128 ng/mL at admission was also associated with a worse prognosis, with an odds ratio of 3.07 (95% CI 2.05–4.69; P < 0.001) and an adjusted hazard ratio of 2.11 (95% CI 1.31–3.4; P < 0.01). Conclusions: D-dimer concentration > 1128 ng/mL is a relevant predictive factor for in-hospital mortality in patients hospitalized for COVID-19 in a medical ward, regardless of the occurrence of venous thromboembolism during hospitalization.

Aims Although cardiac involvement has prognostic significance in coronavirus disease 2019 (COVID-19) and is associated with severe forms, few studies have explored the prognostic role of transthoracic echocardiography (TTE). We investigated the link between TTE parameters and prognosis in COVID-19. Methods and results Consecutive patients with COVID-19 admitted to 24 French hospitals were retrospectively included. Comprehensive data, including clinical and biological parameters, were recorded at admission. Focused TTE was performed during hospitalization, according to clinical indication. Patients were followed for a primary composite outcome of death or transfer to intensive care unit (ICU) during hospitalization. Among 2878 patients, 445 (15%) underwent TTE. Most of these had cardiovascular risk factors, a history of cardiovascular disease, and were on cardiovascular treatments. Dilatation and dysfunction were observed in, respectively, 12% (48/412) and 23% (102/442) of patients for the left ventricle, and in 12% (47/407) and 16% (65/402) for the right ventricle (RV). Primary composite outcome occurred in 44% (n = 196) of patients [9% (n = 42) for death without ICU transfer and 35% (n = 154) for admission to ICU]. RV dilatation was the only TTE parameter associated with the primary outcome. After adjustment, male sex [hazard ratio (HR) 1.56, 95% confidence interval (CI) 1.09 − 2.25; P = 0.02], higher body mass index (HR 1.10, 95% CI 1.02 − 1.18; P = 0.01), anticoagulation (HR 0.53, 95% CI 0.33 − 0.86; P = 0.01), and RV dilatation (HR 1.66, 95% CI 1.05 − 2.64; P = 0.03) remained independently associated with the primary outcome. Conclusion Echocardiographic evaluation of RV dilatation could be useful for assessing risk of severe COVID-19 developing in hospitalized patients.

Background: Coronavirus disease 2019 (COVID-19) has been associated with coagulation disorders, in particular high levels of D-dimers, and increased frequency of venous thromboembolism (VTE). We explore the association between D-dimers at admission and in-hospital mortality in hospitalized COVID-19 patients with or without symptomatic VTE.Methods: From February 26 to April 20, 2020, D-dimer level at admission and outcomes of patients hospitalized for COVID-19 in medical wards (in-hospital mortality or VTE) were retrospectively analyzed in a multicenter study in 24 French hospitals.Results: Among 2878 patients enrolled in the study, 1154 (40.9%) patients had D-dimer measurement at admission. A receiver operating characteristic (ROC) curve analysis identified D-dimer level above 1128 ng/mL as the optimum cutoff value to predict in-hospital mortality (Area Under the Curve of 64.9% (95% CI 0.60–0.69) with a sensitivity of 71.1% (95% CI 0.62–0.78) and a specificity of 55.6% (95% CI 0.52–0.58) that not differ in the subgroup of patients with VTE during hospitalization. Among 609 (52.8%) patients with D-dimers level Conclusions: D-dimer level over 1128 ng/mL is a relevant predictive factor for in-hospital mortality in COVID-19 hospitalized patients in medical ward, regardless the occurrence of VTE during hospitalization.

Background: To compare the clinical outcomes between patients with and without diabetes admitted to hospital with COVID-19.Methods: Retrospective multicentre cohort study from 24 academic tertiary medical centres in France including 2851 patients (675 with diabetes) hospitalised for COVID-19 between February 26 and April 20, 2020. A propensity score matching method (1:1 matching including patient characteristics, medical history, vital signs, and laboratory results) was used to compare patients with and without diabetes (n=603 in each group). The primary outcome was admission to intensive care unit (ICU) or in-hospital death. Results: Patients with diabetes were older (71 ± 13 vs. 65 ± 18 years; pConclusions: In this retrospective cohort of patients hospitalised for COVID-19, diabetes was not significantly associated with a higher risk of COVID-19 severe outcomes after propensity score matching.Trial registration NCT04344327

Background: Early identification of patients at risk for severe coronavirus disease 2019 (COVID-19) is a major issue to help clinicians optimise patient-flow management and allocation of healthcare resources. Methods: This retrospective, observational, multicentre study included all consecutive patients admitted to hospital with COVID-19 across 24 centres in France between February 26 and April 20, 2020. Comprehensive data, including clinical, biological, and imaging variables, were recorded at admission. The primary outcome was a composite of transfer to intensive care unit (ICU) or in-hospital death without transfer to ICU. Findings: Among 2878 patients (57·9% men, 67±17 years), the primary outcome occurred in 838 (29·3%) patients: 19·1% were transferred to ICU and 10·0% died in-hospital without transfer to ICU. Based on the derivation cohort (n=2105), 12 variables were independently associated with the primary outcome in the final model: demographics (age, sex), triage vitals (body temperature, Glasgow coma scale, dyspnoea, respiratory frequency, fraction of inspired oxygen), biological (platelets, C-reactive protein, aspartate aminotransferase, glomerular filtration rate), and imaging (degree of scanographic lesions) data. A risk-stratification score was developed that displayed accurate calibration and discrimination, with C-statistics of 0·80 (95% confidence interval 0·78 to 0·82) in the derivation cohort and 0·79 (95% confidence interval 0·75 to 0·83) in validation cohort. Interpretation: Using data from a multicentre series of patients with COVID-19, we identified independent predictors of severe COVID-19 in hospitalised patients, including clinical, biological, and imaging variables at admission. An accurate integrative risk score was developed and externally validated to optimise early triage of patients. Trial Registration: NCT04344327 Funding Statement: None. Declaration of Interests: None. Ethics Approval Statement: The CCF study was declared to and authorised by the French data protection committee (Commission Nationale Informatique et Liberte, CNIL, authorisation n°2207326v0), and was conducted in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.

Background While women account for 40-50 % of patients hospitalized for coronavirus disease 2019 (Covid-19), no specific data have been reported in this population. Purpose Assess the burden of cardiovascular comorbidities on outcomes in women hospitalized for Covid-19. Methods We conducted a retrospective observational multicenter study from February 26 to April 20, 2020 in 24 French hospitals including all adults admitted for Covid-19. Primary composite outcome included transfer to intensive care unit (ICU) or in-hospital death. Results Among 2878 patients hospitalized for Covid-19, 1212 (42.1 %) were women. Women were significantly older (68.3 ± 18.0 vs. 65.4 ± 16.0 years, P

Background Our study aimed to compare the clinical outcomes of patients with and without diabetes admitted to hospital with COVID-19. Methods This retrospective multicentre cohort study comprised 24 tertiary medical centres in France, and included 2851 patients (675 with diabetes) hospitalized for COVID-19 between 26 February and 20 April 2020. A propensity score-matching (PSM) method (1:1 matching including patients’ characteristics, medical history, vital statistics and laboratory results) was used to compare patients with and without diabetes (n = 603 per group). The primary outcome was admission to an intensive care unit (ICU) and/or in-hospital death. Results After PSM, all baseline characteristics were well balanced between those with and without diabetes: mean age was 71.2 years; 61.8% were male; and mean BMI was 29 kg/m2. A history of cardiovascular, chronic kidney and chronic obstructive pulmonary diseases were found in 32.8%, 22.1% and 6.4% of participants, respectively. The risk of experiencing the primary outcome was similar in patients with or without diabetes [hazard ratio (HR): 1.16, 95% confidence interval (CI): 0.95–1.41; P = 0.14], and was 1.29 (95% CI: 0.97–1.69) for in-hospital death, 1.26 (95% CI: 0.9–1.72) for death with no transfer to an ICU and 1.14 (95% CI: 0.88–1.47) with transfer to an ICU. Conclusion In this retrospective study cohort of patients hospitalized for COVID-19, diabetes was not significantly associated with a higher risk of severe outcomes after PSM. Trial registration number NCT04344327.

Background Main features of COVID-19 patients have been reported in the literature. While young patients under 45 years old (y/o) account for a non-negligible part of hospitalized patients, data on this population remain sparse. Purpose To describe the characteristics and outcomes of hospitalized COVID-19 young patients ( 45 y/o (P 45 y/o (183 (7.2%) vs. 3 (0.9%), P