Objectives The majority of available scores to assess mortality risk of coronavirus disease 19 (COVID-19) patients in the emergency department have high risk of bias. Therefore, our aim was to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients, and to compare this score with other existing ones. Methods Consecutive patients (≥18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March-July, 2020. The model was validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients. Results Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO 2 /FiO 2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833 to 0.885]) and Spanish (0.894 [95% CI 0.870 to 0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.

Objective: To develop and validate a rapid scoring system at hospital admission for predicting in-hospital mortality in patients hospitalized with coronavirus disease 19 (COVID-19), and to compare this score with other existing ones. Design: Cohort study Setting: The Brazilian COVID-19 Registry has been conducted in 36 Brazilian hospitals in 17 cities. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients that were admitted between March-July, 2020. The model was then validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients. Participants: Consecutive symptomatic patients (≥18 years old) with laboratory confirmed COVID-19 admitted to participating hospitals. Patients who were transferred between hospitals and in whom admission data from the first hospital or the last hospital were not available were excluded, as well those who were admitted for other reasons and developed COVID-19 symptoms during their stay. Main outcome measures: In-hospital mortality Results: Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, 53.8% were men, in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. From 20 potential predictors, seven significant variables were included in the in-hospital mortality risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO2/FiO2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859) and Spanish (0.899) validation cohorts. Our ABC2-SPH score showed good calibration in both Brazilian cohorts, but, in the Spanish cohort, mortality was somewhat underestimated in patients with very high (>25%) risk. The ABC2-SPH score is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions: We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.

ARTIGO ORIGINALFeijó MKEF, Lutkmeier R, Ávila CW, Rabelo ER. Fatores de risco para doença arterial coronariana em pacientes admitidos em unidade de hemodinâmica. Rev Gaúcha Enferm., Porto Alegre (RS) 2009 dez;30(4):641-7. (220, 73%), dislipidemia (150, 50.5%), obesidad (87, 29%), diabetes mellitus (81, 27%), tabaquismo (77, 25.5%), consumo de alcohol (67, 22%) y alimentación pobre en frutas y verduras (15, 5%). La correlación entre el número de FR y las variables analizadas (escolaridad, sueldo mínimo, edad, estado civil, actividad profesional FATORES DE RISCO RESUMEN Estudio transversal cuyo objetivo fue evaluar la prevalencia de factores de riesgo (FR) para enfermedad arterial coronaria (EAC) en pacientes sometidos a procedimientos cardíacos en una unidad de hemodinamia. Se incluyeron 302 pacientes de 62±11 años, predominantemente blancos (270, 89%) y de sexo masculino (172, 57%). Los FR más prevalentes fueron sedentarismo (227, 75%), seguido de la hipertensión

Aim: To assess the knowledge of patients hospitalized for cardiovascular co-morbidities in diabetes mellitus (DM), and its relationship to the confrontation and attitudes towards the disease. Method: This was a prospective cross-sectional study, conducted in the inpatient unit with cardiac patients affected by DM. Their level of knowledge about diabetes was assessed using the Diabetes Knowledge Scale (DKN-A) and the psychological and emotional aspects were assessed by use of the Diabetes Attitudes Questionnaire (ATT-19). Results: We included 220 patients with 63.0 ± 9.4 years, of which 119 (54.1%) were male. The punctuation of the scores ≥ eight in DKN-A was found in 55 patients (25%), and a score ≥ 60 on ATT-19 occurred in 37 patients (17.7%). Discussion: The patients who presented with relatively good knowledge about DM had a score of ≥ eight; those individuals who had a score ≥ 60 on the scale ATT-19 had an appropriate response to the disease. Conclusion: The patients generally had a low level of knowledge of DM and had difficulty in coping with the disease.

COVID-19 is a disease whose knowledge is still under construction, high transmissibility, with no consensual treatment available to everyone. Therefore, the identification of patients at higher risk of evolving to the critical form of the disease is fundamental. The study aimed to determine risk factors associated with the severity of COVID-19 in adults patients. This is an observational, retrospective study from a cohort of adult patients with COVID-19 admitted to a public hospital from March to August 2020, whose medical records were evaluated. For the association of possible severity predictors, a Poisson regression was used. The primary outcome was the critical form of the disease (need for admission to the Intensive Care Unit and/or invasive mechanical ventilation). We included 565 patients: mostly men; 55.5% of those who progressed to the critical form of the disease were over sixty years old. Hypertension, diabetes mellitus and obesity were the most frequent comorbidities. There were 39.8% of patients who progressed to the critical form of the disease. The hospital mortality rate was 22.1%, and that of critical patients was 46.7%. The independent factors associated with the severity of the disease were obesity [RR = 1.33 (95% CI 1.07 to 1.66; p = 0.011)], SpO 2 /FiO 2 ratio ≤ 315 [RR = 2.20 (95% CI 1.79 to 2.71; p = 0.000)], C-reactive protein > 100 mg/L [RR = 1.65 (95% CI 1.33 to 2.06; p = 0.000)], and lymphocytes < 1,000/µL [RR = 1.44 (95% CI 1.18 to 1.75; p = 0.000)]. Advanced age and comorbidities were dependent factors strongly associated with the critical form of the disease.