BACKGROUND Since the confirmation of the first patient infected with SARS-CoV-2 in Spain in January 2020, the epidemic has grown rapidly, with the greatest impact on the Madrid region. This article describes the first 2226 consecutive adult patients with COVID-19 admitted to the La Paz University Hospital in Madrid. METHODS Our cohort included all consecutively admitted patients who were hospitalized and who had a final outcome (death or discharge) in a 1286-bed hospital of Madrid (Spain) from February 25th (first case admitted) to April 19th, 2020. Data was entered manually into an electronic case report form, which was monitored prior to the analysis. RESULTS We consecutively included 2226 adult patients admitted to the hospital who either died (460) or were discharged (1766). The patients median age was 61 years; 51.8% were women. The most common comorbidity was arterial hypertension (41.3%). The most common symptoms on admission were fever (71.2%). The median time from disease onset to hospital admission was 6 days. Overall mortality was 20.7% and was higher in men (26.6% vs 15.1%). Seventy-five patients with a final outcome were transferred to the ICU (3.4%). Most patients admitted to the ICU were men, and the median age was 64 years. Baseline laboratory values on admission were consistent with an impaired immune-inflammatory profile. CONCLUSIONS We provide a description of the first large cohort of hospitalized patients with COVID-19 in Europe. Advanced age, male gender, the presence of comorbidities and abnormal laboratory values were more common among the patients with fatal outcomes.

Background: Since the confirmation of the first patient infected with SARS-CoV-2 in Spain in January 2020, the epidemic has grown rapidly, with the greatest impact on the region of Madrid. This article describes the first 2226 adult patients with COVID-19, consecutively admitted to La Paz University Hospital in Madrid. Methods: Our cohort included all patients consecutively hospitalized who had a final outcome (death or discharge) in a 1286-bed hospital of Madrid (Spain) from 25 February (first case admitted) to 19 April 2020. The data were manually entered into an electronic case report form, which was monitored prior to the analysis. Results: We consecutively included 2226 adult patients admitted to the hospital who either died (460) or were discharged (1766). The patients’ median age was 61 years, and 51.8% were women. The most common comorbidity was arterial hypertension (41.3%), and the most common symptom on admission was fever (71.2%). The median time from disease onset to hospital admission was 6 days. The overall mortality was 20.7% and was higher in men (26.6% vs. 15.1%). Seventy-five patients with a final outcome were transferred to the intensive care unit (ICU) (3.4%). Most patients admitted to the ICU were men, and the median age was 64 years. Baseline laboratory values on admission were consistent with an impaired immune-inflammatory profile. Conclusions: We provide a description of the first large cohort of hospitalized patients with COVID-19 in Europe. Advanced age, male sex, the presence of comorbidities and abnormal laboratory values were more common among the patients with fatal outcomes.

Background The clinical presentation of COVID-19 in patients admitted to hospital is heterogeneous. We aimed to determine whether clinical phenotypes of patients with COVID-19 can be derived from clinical data, to assess the reproducibility of these phenotypes and correlation with prognosis, and to derive and validate a simplified probabilistic model for phenotype assignment. Phenotype identification was not primarily intended as a predictive tool for mortality. MethodsIn this study, we used data from two cohorts: the COVID-19@Spain cohort, a retrospective cohort including 4035 consecutive adult patients admitted to 127 hospitals in Spain with COVID-19 between Feb 2 and March 17, 2020, and the COVID-19@HULP cohort, including 2226 consecutive adult patients admitted to a teaching hospital in Madrid between Feb 25 and April 19, 2020. The COVID-19@Spain cohort was divided into a derivation cohort, comprising 2667 randomly selected patients, and an internal validation cohort, comprising the remaining 1368 patients. The COVID-19@HULP cohort was used as an external validation cohort. A probabilistic model for phenotype assignment was derived in the derivation cohort using multinomial logistic regression and validated in the internal validation cohort. The model was also applied to the external validation cohort. 30-day mortality and other prognostic variables were assessed in the derived phenotypes and in the phenotypes assigned by the probabilistic model. Findings Three distinct phenotypes were derived in the derivation cohort (n=2667)-phenotype A (516 [19%] patients), phenotype B (1955 [73%]) and phenotype C (196 [7%])-and reproduced in the internal validation cohort (n=1368)phenotype A (233 [17%] patients), phenotype B (1019 [74%]), and phenotype C (116 [8%]). Patients with phenotype A were younger, were less frequently male, had mild viral symptoms, and had normal inflammatory parameters. Patients with phenotype B included more patients with obesity, lymphocytopenia, and moderately elevated inflammatory parameters. Patients with phenotype C included older patients with more comorbidities and even higher inflammatory parameters than phenotype B. We developed a simplified probabilistic model (validated in the internal validation cohort) for phenotype assignment, including 16 variables. In the derivation cohort, 30-day mortality rates were 2•5% (95% CI 1•4-4•3) for patients with phenotype A, 30•5% (28•5-32•6) for patients with phenotype B, and 60•7% (53•7-67•2) for patients with phenotype C (log-rank test p<0•0001). The predicted phenotypes in the internal validation cohort and external validation cohort showed similar mortality rates to the assigned phenotypes (internal validation cohort: 5•3% [95% CI 3•4-8•1] for phenotype A, 31•3% [28•5-34•2] for phenotype B, and 59•5% [48•8-69•3] for phenotype C; external validation cohort: 3•7% [2•0-6•4] for phenotype A, 23•7% [21•8-25•7] for phenotype B, and 51•4% [41•9-60•7] for phenotype C).Interpretation Patients admitted to hospital with COVID-19 can be classified into three...

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R ecent reports indicate that the current coronavirus disease 2019 (COVID-19) pandemic is generating substantial increases in the global burden of depression, anxiety, and acute stress disorders. 1,2 Potential explanations include fear of contagion, grief for the death of loved ones, social isolation due to confinement measures, and stress due to negative economic consequences in both the short and long terms, among others. One major concern is that this unprecedented health and social crisis will also bring about an increase in the incidence of suicidal behaviors. 2-4 The emergency department (ED) is paramount for suicide prevention efforts: most suicidal crises and suicide attempts are evaluated and treated in the ED. Moreover, as up to 50% of suicidal patients experience barriers to follow-up care and disengage from outpatient mental health services, 5 the ED often constitutes the only window of opportunity for individual-level suicide prevention.

Background Preliminary country-specific reports suggest that the COVID-19 pandemic has a negative impact on the mental health of the healthcare workforce. In this paper, we summarize the protocol of the COVID-19 HEalth caRe wOrkErS (HEROES) study, an ongoing, global initiative, aimed to describe and track longitudinal trajectories of mental health symptoms and disorders among health care workers at different phases of the pandemic across a wide range of countries in Latin America, Europe, Africa, Middle-East, and Asia. Methods Participants from various settings, including primary care clinics, hospitals, nursing homes, and mental health facilities, are being enrolled. In 26 countries, we are using a similar study design with harmonized measures to capture data on COVID-19 related exposures and variables of interest during two years of follow-up. Exposures include potential stressors related to working in healthcare during the COVID-19 pandemic, as well as sociodemographic and clinical factors. Primary outcomes of interest include mental health variables such as psychological distress, depressive symptoms, and posttraumatic stress disorders. Other domains of interest include potentially mediating or moderating influences such as workplace conditions, trust in the government, and the country's income level. Results As of August 2021, ~ 34,000 health workers have been recruited. A general characterization of the recruited samples by sociodemographic and workplace variables is presented. Most participating countries have identified several health facilities where they can identify denominators and attain acceptable response rates. Of the 26 countries, 22 are collecting data and 2 plan to start shortly. Conclusions This is one of the most extensive global studies on the mental health of healthcare workers during the COVID-19 pandemic, including a variety of countries with diverse economic realities and different levels of severity of pandemic and management. Moreover, unlike most previous studies, we included workers (clinical and non-clinical staff) in a wide range of settings.

Background : During the initial COVID-19 outbreak, organizational changes were required to ensure adequate staffing in healthcare facilities. The extent to which organizational changes impacted the mental wellbeing of healthcare workers (HCWs) remains unexplored. Here we analyzed the association between three work-related stressors (reported access to protective equipment, change in job functions, and patient prioritization decision-making) and mental health outcomes (depression symptoms, psychological distress, suicidal thoughts, and fear of infection) in a large sample of Spanish HCWs during the initial COVID-19 outbreak. Methods : We conducted a cross-sectional study including HCWs from three regions of Spain between April 24 th and June 22 nd , 2020. An online survey measured sociodemographic characteristics, work-related stressors, fear of infection, and mental health outcomes (depression [PHQ-9], psychological distress [GHQ-12], death wishes [C-SSRS]). We conducted mixed-effects regression models to adjust all associations for relevant individual- and region-level sources of confounding. Results : We recruited 2,370 HCWs. Twenty-seven percent screened positive for depression and 74% for psychological distress. Seven percent reported death wishes. Respondents were more afraid of infecting their loved ones than of getting infected themselves. All work-related stressors were associated with depression symptoms and psychological distress in adjusted models. Limitations : Non-probabilistic sampling, potential reverse causation. Conclusions : Modifiable work-related stressors are associated with worse mental health among HCWs. Our results suggest that workplace prevention strategies for HCWs should provide sufficient protective equipment, minimize changes in job functions, favor the implementation of criteria for patient triage and on-call bioethics committees, and facilitate access to stepped-care, evidence-based mental health treatment.

Background To describe the implementation of a medicalized hotel in the community of Madrid as a public health resource for the containment of coronavirus disease (COVID-19) and to describe the characteristics of population benefitted. Methods A descriptive study of the implementation of the Via Castellana Medicalised Hotel (VCMH) was conducted. The average monthly household income, educational level and occupational social class of the subjects admitted were obtained through a survey conducted during their stay. Results There was no guidance for launching; however the hotel was coordinated by a tertiary referral hospital and attended the preventive medicine regulations and the decrees of legal regimes and authorization of health services in Madrid. Between 19 March and the 9 May 2020, 399 patients were admitted; 59% (235) were migrant; the main reason for referral (58%) was a lack of house conditions for quarantining, including overcrowding, which when compared with the migrant status a positive correlation was found. Some other reasons for referral were homelessness and eviction. Most of the survey participants had low monthly household income, educational level and social class. Conclusions This medicalized hotel provided medical care and offered housing to a subgroup of vulnerable population who could not afford a safe quarantine.