A competing risk survival analysis of the sociodemographic factors of COVID-19 in-hospital mortality in Ecuador / Un análisis de supervivencia de riesgos competitivos de los factores sociodemográficos de la mortalidad intrahospitalaria por COVID-19 en Ecuador / Uma análise concorrente de sobrevida de risco dos fatores sociodemográficos da mortalidade intra-hospitalar por COVID-19 no Equador

This study aimed to analyze the effect of sociodemographic characteristics on COVID-19 in-hospital mortality in Ecuador from March 1 to December 31, 2020. This retrospective longitudinal study was performed with data from publicly accessible registries of the Ecuadorian National Institute of Statistics and Censuses (INEC). Data underwent a competing risk analysis with estimates of the cumulative incidence function (CIF). The effect of covariates on CIFs was estimated using the Fine-Gray model and results were expressed as adjusted subdistribution hazard ratios (SHR). The analysis included 30,991 confirmed COVID-19 patients with a mean age of 56.57±18.53 years; 60.7% (n = 18,816) were men and 39.3% (n = 12,175) were women. Being of advanced age, especially older than or equal to 75 years (SHR = 17.97; 95%CI: 13.08-24.69), being a man (SHR = 1.29; 95%CI: 1.22-1.36), living in rural areas (SHR = 1.18; 95%CI: 1.10-1.26), and receiving care in a public health center (SHR = 1.64; 95%CI: 1.51-1.78) were factors that increased the incidence of death from COVID-19, while living at an elevation higher than 2,500 meters above sea level (SHR = 0.69; 95%CI: 0.66-0.73) decreased this incidence. Since the incidence of death for individuals living in rural areas and who received medical care from the public sector was higher, income and poverty are important factors in the final outcome of this disease.

Este estudio tuvo como objetivo analizar el efecto de las características sociodemográficas en la mortalidad intrahospitalaria de los pacientes con COVID-19 confirmado en Ecuador entre el 1 de marzo y el 31 de diciembre de 2020. Se trató de un estudio longitudinal retrospectivo realizado con datos extraídos de registros de acceso público reportados por el Instituto Nacional de Estadística y Censos (INEC) de Ecuador. Los datos se analizaron empleando un enfoque de riesgo competitivo, utilizando estimaciones de la función de incidencia acumulada (FIA). El efecto de las covariables sobre las FIA se estimó mediante el modelo de Fine-Gray, y los resultados se expresaron como cocientes de riesgos de subdistribución (CRS) ajustados. El análisis incluyó 30.991 casos confirmados de COVID-19 con una edad media de 56,57±18,53 años; el 60,7% (n = 18.816) eran hombres y el 39,3% (n = 12.175) mujeres. Los factores que aumentaron la incidencia de muerte por COVID-19 fueron una edad avanzada, con mayor riesgo para los mayores o iguales a 75 años (CRS = 17,97; IC95%: 13,08-24,69); ser hombre (CRS = 1,29; IC95%: 1,22-1,36); residir en zonas rurales (CRS = 1,18; IC95%: 1,10-1,26); y recibir atención en un centro sanitario público (CRS = 1,64; IC95%: 1,51-1,78); mientras que un factor que disminuyó la incidencia de muerte fue residir en altitudes superiores a los 2.500 metros sobre el nivel del mar (CRS = 0,69; IC95%: 0,66-0,73). La mayor incidencia de muerte entre los que residían en zonas rurales y los que recibían atención médica del sector público sugiere que los ingresos y la pobreza son factores importantes en el desenlace final de esta enfermedad.

O objetivo deste estudo foi analisar o efeito de características sociodemográficas sobre a mortalidade intra-hospitalar de pacientes com COVID-19 confirmada no Equador, entre 1º de março e 31 de dezembro de 2020. Este é um estudo longitudinal e retrospectivo desenvolvido com dados extraídos de registros de acesso público declarados pelo Instituto Nacional de Estatística e Censos do Equador (INEC). Os dados foram analisados usando uma abordagem de risco concorrente com estimativas da função de incidência cumulativa (FIC). O efeito das covariáveis sobre as FICs foi estimado pelo modelo de Fine-Gray e os resultados expressos em índices de risco de subdistribuição (IRS) ajustados. A análise incluiu 30.991 casos confirmados da COVID-19 em pacientes com idade média de 56,57±18,53 anos; sendo 60,7% (n = 18.816) do sexo masculino e 39,3% (n = 12.175) do sexo feminino. Os fatores que aumentaram a incidência de óbitos por COVID-19 foram idade avançada, com maior risco para aqueles com 75 anos ou mais (IRS = 17,97; IC95%: 13,08-24,69); ser do sexo masculino (IRS = 1,29; IC95%: 1,22-1,36); residir em áreas rurais (IRS = 1,18; IC95%: 1,10-1,26); e receber atendimento em unidade pública de saúde (IRS = 1,64; IC95%: 1,51-1,78); ao passo que um fator que diminuiu a incidência de óbitos foi residir em altitudes superiores a 2.500 metros acima do nível do mar (IRS = 0,69; IC95%: 0,66-0,73). A maior incidência de óbitos naqueles que residiam em áreas rurais e que receberam atendimento médico do setor público sugere que a renda e a pobreza são fatores importantes no desfecho dessa doença.

National Early Warning Score 2 ­ versão brasileira: validade preditiva para adultos com COVID-19* / National Early Warning Score 2 ­ versión brasileña: validez predictiva para adultos con COVID-19 / National Early Warning Score 2 ­ Brazilian version: predictive validity for adults with COVID-19

Objetivo: realizar a validade preditiva do National Early Warning Score 2 ­ versão brasileira (NEWS 2 ­ BR) nos desfechos alta e óbito em pacientes com COVID-19. Método: estudo transversal com análise de validade preditiva. Variáveis sociodemográficas, clínicas, desfechos e os componentes do escore foram coletados em prontuário eletrônico e analisados por meio da estatística descritiva e inferencial. Resultados: incluíram-se 400 pacientes, com mediana de idade de 61 anos. O escore na admissão teve mediana de 5 pontos, com amplitude de 0 a 21. Houve associação entre escores mais altos com o desfecho óbito e escores mais baixos com a alta. A validade preditiva do NEWS 2 ­ BR para o óbito foi realizada pela análise de curva ROC e o ponto de corte de maior acurácia foi de seis pontos. Conclusão: a versão brasileira do NEWS 2 é um escore válido para avaliação de pacientes com COVID-19.

Objective: perform the predictive validity of National Early Warning Score 2 ­ Brazilian version (NEWS 2 ­ BR) in discharge and death outcomes in patients with COVID-19. Method: cross-sectional study with predictive validity analysis. Social-demographical and clinical variables, outcomes and the score components were collected with an electronic health record and analyzed through descriptive and inferential statistics. Outcomes: 400 patients were included, with median age of 61 years. The score, at the moment of admission, had a median of 5 points, with a range from 0 to 21. There is an association between the highest scores and the death outcome and the lowest scores and the discharge outcome. The predictive validity of NEWS 2 ­ BRfor death was established by the analysis of the ROC curve and the most accurate cut-off point was six points. Conclusion: The Brazilian version of NEWS 2 is a valid score to assess patients with COVID-19.

Objetivo: realizar la validez predictiva del National Early Warning Score 2 ­ versión brasileña (NEWS 2 ­ BR) en los resultados alta y fallecimiento en pacientes con COVID-19. Método: estudio transversal con análisis de validez predictiva. Variables sociodemográficas, clínicas, resultados y los componentes del score fueron recolectados en prontuario electrónico y analizados por medio de la estadística descriptiva e inferencial. Resultados: se incluyeron 400 pacientes, con mediana de edad de 61 años. El score en la admisión tuvo mediana de 5 puntos, con amplitud de 0 a 21. Hubo asociación entre scores más altos con el resultado fallecimiento y scores más bajos con el alta. La validez predictiva del NEWS 2 ­ BR para el fallecimiento fue realizada por el análisis de curva ROC y el punto de corte de mayor precisión fue de seis puntos. Conclusión: la versión brasileña del NEWS 2 es un score válido para la evaluación de pacientes con COVID-19.

Upper respiratory tract viral load quantification in COVID-19 patients at hospital admission and its association with disease severity.

INTRODUCTION: There are aspects of COVID-19 pathogenesis that are still unknown. OBJECTIVE: To determine the relationship between severity, mortality and viral replication in patients with COVID-19. METHODS: Clinical characteristics, severity and mortality of 203 patients hospitalized for COVID-19 were analyzed and correlated with viral load (VL) and threshold cycle (TC) at admission; nasopharyngeal swab was obtained. RESULTS: Mean VLs in surviving patients with mild to moderate, moderate to severe and severe disease were the following: 6.8 x 106, 7.6 x 107 and 1.0 x 109, respectively; and in patients with critical disease who died, VL was 1.70 x 109. TCs were 26.06, 24.07, 22.66 and 21.78 for the same groups. In those who died, a higher mean VL was observed at admission in comparison with those who survived (1.7 x 109 vs. 9.84 x 106; p < 0.001). A significant correlation was observed between VL, severity and death (r = 0.254, p < 0.045 and r = 0.21, p < 0.015). High VL was associated with increased in-hospital mortality in comparison with low VL (OR = 2.926, p < 0.017). CONCLUSION: SARS-CoV-2 VL determined at hospital admission might classify risk simultaneously with other factors described in COVID-19.

INTRODUCCIÓN: Aún se desconocen aspectos de la patogenia de COVID-19. OBJETIVO: Determinar la relación entre gravedad, mortalidad y replicación viral en pacientes con COVID-19. MÉTODOS: Se analizaron características clínicas, gravedad de la enfermedad y mortalidad de 203 pacientes hospitalizados por COVID-19 y se correlacionaron con carga viral (CV) y ciclo umbral (Ct) al ingreso; se tomó hisopado nasofaríngeo. RESULTADOS: Las CV medias en los pacientes sobrevivientes fueron las siguientes ante enfermedad leve a moderada, moderada a grave y grave: 6.8 × 106, 7.6 × 107 y 1.0 × 109; y en los pacientes con enfermedad crítica que fallecieron, la CV fue de 1.70 × 109. Los Ct fueron 26.06, 24.07, 22.66 y 21.78 para esos mismos grupos. En quienes fallecieron se observó mayor CV media al ingreso en comparación con quienes sobrevivieron (1.7 × 109 versus 9.84 × 106), p < 0.001. Se evidenció correlación significativa entre CV, gravedad y muerte (r = 0.254, p < 0.045 y r = 0.21, p < 0.015). La CV alta se asoció a mayor mortalidad intrahospitalaria en comparación con la CV baja (RM = 2.926, p < 0.017). CONCLUSIÓN: La CV de SARS-CoV-2 determinada al ingreso hospitalario podría calificar el riesgo simultáneamente con otros factores descritos en COVID-19.

Factors associated with mortality in critically ill patients with COVID-19 / Fatores associados à mortalidade em pacientes críticos com COVID-19 / Factores asociados a la mortalidad en pacientes críticos con COVID-19

Background and objectives: COVID-19 is a life-threatening disease. Recognizing the main characteristics of the disease and its main complications will help future interventions, care, and management of health services since territorial and population diversities directly influence health outcomes. Our main objective is to describe the clinical characteristics, outcomes, and factors associated with mortality of patients with COVID-19 admitted to the intensive care unit of a public and tertiary hospital. Methods: Cohort study, conducted from March 1 to September 30, 2020. Poisson regression was performed to investigate the variables of hospital treatment as potential risk factors for in-hospital mortality. Results: Of the 283 eligible patients in this study, the hospital mortality rate was of 41.7% (n=118). The most common outcomes were acute respiratory distress syndrome, nosocomial infection, and septic shock. Factors independently associated with increased risk of death were age greater than 51 years old (RR=1.7, 95%CI=1.0-2.8), especially over 70 years old (RR=2.9, 95%CI=1.7-2.8), current smoker (RR=1.8, 95%CI=1.1-2.9), requiring the use of inotrope (RR=1.4, 95%CI=1.0-2.0), and presenting potassium greater than 5.0 mEq/l on admission (RR=1.3, 95%CI=1.0-1.7). Conclusion: Mortality was associated with older age, being a current smoker, inotrope use, and presenting potassium greater than 5.0 on hospital admission.(AU)

Justificativa e objetivos: A COVID-19 é uma doença ameaçadora à vida. Reconhecer as características da doença e suas principais complicações nesta população auxiliará em futuras intervenções, cuidados e gestão dos serviços de saúde, uma vez que a diversidade territorial e populacional influencia diretamente nos resultados de saúde. O objetivo principal do presente estudo é descrever as características clínicas, desfechos e fatores associados à mortalidade de pacientes com COVID-19 internados na unidade de terapia intensiva de um hospital público e terciário. Métodos: Estudo de coorte, realizado de 1º de março a 30 de setembro de 2020. Foi realizada regressão de Poisson para investigar variáveis de apresentação hospitalar como potenciais fatores de risco para mortalidade intra-hospitalar. Resultados: Dos 283 pacientes elegíveis neste estudo, o dado de mortalidade hospitalar foi de 41,7% (n=118). Os desfechos mais comuns foram síndrome do desconforto respiratório agudo, infecção hospitalar e choque séptico. Os fatores independentemente associados ao aumento do risco de morte foram idade superior a 51 anos (RR=1,7, IC 95%=1,0-2,8), principalmente acima de 70 anos (RR=2,9, IC 95%=1,7-2,8), tabagismo atual (RR=1,8, IC 95%=1,1-2,9), necessidade de inotrópico (RR=1,4, IC 95%=1,0-2,0) e potássio maior que 5,0 mEq/l (RR=1,3, IC 95%=1,0- 1.7) na admissão. Conclusão: A mortalidade esteve associada à idade avançada, tabagismo atual, uso de inotrópicos e potássio maior que 5,0 na admissão hospitalar.(AU)

Justificación y objetivos: La COVID-19 es una enfermedad potencialmente mortal. Reconocer las características de la enfermedad y sus principales complicaciones en esta población ayudará a futuras intervenciones, atención y gestión de los servicios de salud, ya que las diversidades territoriales y poblacionales influyen directamente en los resultados de salud. El objetivo principal de este estudio es describir las características clínicas, los resultados y los factores asociados a la mortalidad de los pacientes con COVID-19 ingresados en la unidad de cuidados intensivos de un hospital público y de tercer nivel. Métodos: Estudio de cohorte, realizado del 1 de marzo al 30 de septiembre de 2020. Se realizó regresión de Poisson para investigar variables en la presentación hospitalaria como potenciales factores de riesgo para la mortalidad intrahospitalaria. Resultados: De los 283 pacientes elegibles en este estudio, el 41,7% (n=118) tuvo mortalidad hospitalaria. Los desenlaces más comunes fueron síndrome de dificultad respiratoria aguda, infección nosocomial y shock séptico. Los factores independientemente asociados a mayor riesgo de muerte fueron edad mayor de 51 años (RR=1,7, IC95%=1,0-2,8), especialmente mayores de 70 años (RR=2,9, IC95%=1,7-2,8), tabaquismo actual (RR=1,8, IC95%=1,1-2,9), necesidad de inotrópico (RR=1,4, IC95%=1,0-2,0) y potasio mayor que 5,0 mEq/l (RR=1,3, IC95%=1,0-1,7). Conclusión: La mortalidad estuvo asociada a la edad avanzada, tabaquismo actual, uso de inotrópico y potasio mayor a 5,0 en la admisión hospitalaria.(AU)

Epidemiología y mortalidad hospitalaria por evento vascular cerebral en un hospital de la Ciudad de México: estudio prospectivo de 2 años.

OBJECTIVE: To describe patient characteristics, case fatality rate, and assess predictors of in-hospital acute ischemic (IS) or hemorrhagic stroke (HS) mortality. METHOD: Adult patients with confirmed stroke were recruited from January 1st, 2018 to December 31st, 2019.Data collect included demographic and laboratory characteristics, risk factors, and clinical outcome. A binary logistic regression model with relative risk and 95% confidence interval was performed. RESULTS: A total of 172 patients were recruited; IS was present in 78.5% of patients. The mean of age was 75.27 ± 11.44 years in IS group and 71.62 ± 11.72 years in HS group. Hypertension was present in > 70% of patients in both groups; the in-hospital case fatality rate was 15.5% for IS and 21.5% for HS. Severe NIHSS score (> 13) was significantly associated with in-hospital mortality in both stroke types. CONCLUSIONS: Hypertension was the most common risk factor in patients with stroke. The in-hospital case fatality rate was lower to previously reported in Mexico. Nevertheless, it remains high compared to reported in developed countries. NIHSS scale was the strongest predictor of mortality. There is a need to develop more effective stroke management services in Mexico.

OBJETIVO: Describir las características y los factores pronósticos para mortalidad intrahospitalaria en pacientes con diagnóstico de evento vascular cerebral isquémico (EVCi) o hemorrágico (EVCh). MÉTODO: Se incluyeron 172 pacientes en el periodo del 1 de enero de 2018 al 31 de diciembre de 2019. Se recabaron características demográficas, de laboratorio y factores de riesgo. Se realizó un análisis de regresión logística binaria calculando el riesgo relativo y el intervalo de confianza al 95% para identificar las variables asociadas a la mortalidad. RESULTADOS: El 78.5% de los pacientes presentaron EVCi. La media de edad fue de 75.27 ± 11.44 años en el EVCi y de 71.62 ± 11.72 años en el EVCh. El antecedente de hipertensión se encontró en más del 70% de los pacientes en ambos tipos de EVC. La mortalidad hospitalaria fue del 15.5% en el EVCi y del 21.5% en el EVCh. Una puntuación grave (> 13) en la escala NIHSS (National Institutes of Health Stroke Scale) presentó asociación significativa con la mortalidad en ambos tipos de EVC. CONCLUSIONES: La hipertensión fue el factor de riesgo más común. La mortalidad hospitalaria fue menor que lo reportado previamente en México. La escala NIHSS fue el mejor predictor de mortalidad. Es necesario desarrollar estrategias para mejorar la atención de los pacientes con EVC en México.

Delay of surgical treatment of severe tricuspid regurgitation and outcomes in patients with left-sided heart valve disease.

INTRODUCTION AND OBJECTIVES: The influence of the delay between diagnosis and surgery in severe tricuspid regurgitation (TR) remains controversial. We aimed to analyze the association between delay to surgery and operative and mid-term mortality in patients with severe TR concomitant to left-valve surgery. METHODS: We conducted an observational retrospective study analyzing risk factors in patients undergoing left-valve surgery concomitant with severe TR. The clinical and demographic variables were prospectively collected. The time of first diagnosis of TR was retrospectively collected. RESULTS: A total of 253 patients were analyzed. TR was functional in 82.6%. The median latency between diagnosis and surgery was 24 months. Operative mortality was 12.2%. On multivariate analysis, higher operative mortality was associated with older age, worse preoperative NYHA functional class, triple valve surgery, hyponatremia, and anemia. The median follow-up was 35 months. Survival at 1 and 5 years was 85.2% and 73.7%, respectively. Mortality during follow-up was associated with male sex, preoperative massive TR, and longer latency between diagnosis and surgery. CONCLUSIONS: The variables related to worse preoperative functional class were associated with increased operative mortality. Lower mid-term survival was associated with longer latency between diagnosis of severe TR and surgery, massive preoperative TR, and older age.

Cuantificación de la carga viral en el tracto respiratorio superior en pacientes con COVID-19 al ingreso hospitalario y su asociación con la gravedad de la enfermedad / Upper respiratory tract viral load quantification in COVID-19 patients at hospital admission and its association with disease severity

Resumen Introducción: Aún se desconocen aspectos de la patogenia de COVID-19. Objetivo: Determinar la relación entre gravedad, mortalidad y replicación viral en pacientes con COVID-19. Métodos: Se analizaron características clínicas, gravedad de la enfermedad y mortalidad de 203 pacientes hospitalizados por COVID-19 y se correlacionaron con carga viral (CV) y ciclo umbral (Ct) al ingreso; se tomó hisopado nasofaríngeo. Resultados: Las CV medias en los pacientes sobrevivientes fueron las siguientes ante enfermedad leve a moderada, moderada a grave y grave: 6.8 × 106, 7.6 × 107 y 1.0 × 109; y en los pacientes con enfermedad crítica que fallecieron, la CV fue de 1.70 × 109. Los Ct fueron 26.06, 24.07, 22.66 y 21.78 para esos mismos grupos. En quienes fallecieron se observó mayor CV media al ingreso en comparación con quienes sobrevivieron (1.7 × 109 versus 9.84 × 106), p < 0.001. Se evidenció correlación significativa entre CV, gravedad y muerte (r = 0.254, p < 0.045 y r = 0.21, p < 0.015). La CV alta se asoció a mayor mortalidad intrahospitalaria en comparación con la CV baja (RM = 2.926, p < 0.017). Conclusión: La CV de SARS-CoV-2 determinada al ingreso hospitalario podría calificar el riesgo simultáneamente con otros factores descritos en COVID-19.

Abstract Introduction: There are aspects of COVID-19 pathogenesis that are still unknown. Objective: To determine the relationship between severity, mortality and viral replication in patients with COVID-19. Methods: Clinical characteristics, severity and mortality of 203 patients hospitalized for COVID-19 were analyzed and correlated with viral load (VL) and threshold cycle (TC) at admission; nasopharyngeal swab was obtained. Results: Mean VLs in surviving patients with mild to moderate, moderate to severe and severe disease were the following: 6.8 × 106, 7.6 × 107 and 1.0 × 109, respectively; and in patients with critical disease who died, VL was 1.70 × 109. TCs were 26.06, 24.07, 22.66 and 21.78 for the same groups. In those who died, a higher mean VL was observed at admission in comparison with those who survived (1.7 × 109 vs 9.84 × 106; p < 0.001). A significant correlation was observed between VL, severity and death (r = 0.254, p < 0.045 and r = 0.21, p < 0.015). High VL was associated with increased in-hospital mortality in comparison with low VL (OR = 2.926, p < 0.017). Conclusion: SARS-CoV-2 VL determined at hospital admission might classify risk simultaneously with other factors described in COVID-19.

Efectividad de vacunas COVID-19 y riesgo de mortalidad en Perú: un estudio poblacional de cohortes pareadas / Effectiveness of COVID-19 vaccines and mortality risk in Peru: a population-based study of matched cohorts

RESUMEN Introducción. El plan de vacunación anti-COVID-19 en Perú consistente en tres tipos de vacunas se inició en marzo 2021. Después de 8 meses cubría 55,18% de la población blanco con dos dosis de vacuna y contaba con 3,5 millones de personas que no habían recibido segunda dosis. Existe limitada información de la mortalidad con el plan de vacunación, siendo necesario estimar la efectividad del mismo. Objetivo. Estimar la efectividad del plan de la vacunación contra el COVID-19 para prevenir la mortalidad en mayores de 18 años. Métodos. Estudio de cohorte pareado de casos y controles de población hospitalizada por COVID-19 durante la pandemia en el Perú, con un seguimiento desde el 9 de febrero del 2020 hasta el 27 de octubre del 2021. Se incluyeron 107 410 sujetos de la Plataforma Nacional de Datos Abiertos del Estado Peruano de la cual se seleccionaron 2254 muertes en hospitalizados vacunados y 2254 muertes en hospitalizados no vacunados. Para estimar la efectividad se construyeron modelos de sobrevivencia de Kaplan Mayer y utilizó la prueba de Cox (HR). Resultados. La efectividad del plan de vacunación se estimó en 80,4% (IC 95% 78,2% - 82,5%). La tasa de letalidad por COVID-19 en vacunados fue 17,5% vs 78,8% en no vacunados. La mediana del tiempo de sobrevivencia en la cohorte de hospitalizados con vacuna fue 42 días (IC 95%: 31-64), vs 7 días (IC 95%: 6-7) en no vacunados (p < 0,001). Conclusiones. Las vacunas utilizadas en el programa del Perú son altamente efectivas para prevenir la muerte en personas hospitalizadas por COVID-19 y mejorarían los resultados con mayor cobertura de uso de dos dosis de vacuna.

ABSTRACT Introduction. The Peruvian COVID-19 vaccination plan started on March 2021 and consists of three types of vaccines. After 8 months it has reached 55.18% of the target population with two dosis of vaccines and 3.5 million people have not yet received the 2nd dose. There is the need to estimate the mortality with the current vaccination plan because there is limited information of its effectiveness. Objective. To estimate the current effectiveness of the COVID-19 vaccination plan to prevent mortality in population above age 18. Methods. Matched cohorts case control study of hospitalized patients diagnosed of COVID-19 from February 9, 2020 through October 27, 2021. 107 410 subjects from the State´s Peruvian Open Data National Platform were included from which 2254 dead hospitalized subjects selected had two vaccine doses and 2254 had not. Effectiveness was estimated by modelling survival method of Kaplan Mayer and the Cox (HR). Results. The estimated effectiveness of the vaccination plan was 80.4% (IC 95% 78.2% - 82.5%). The COVID-19 lethality rate in vaccinated was 17.5% vs 78.8% in non-vaccinated. The median survival time in the hospitalized vaccinated cohort was 42 days (IC 95%: 31-64), vs 7 days (IC 95%: 6-7) in non-vaccinated (p < 0.001). Conclusions. The vaccines utilized in the Peruvian program are highly effective to prevent mortality in hospitalized for COVID-19. Results might improve should coverage and completeness of two doses increase.

Covid 19, mortalidad en adulto mayor y factores asociados / Covid 19, mortality in the elderly and associated factors

Objetivo: Determinar las variables asociadas a la mortalidad por COVID 19 en población adulta mayor. El estudio: estudio observacional, 521 pacientes de 60 a más años con diagnóstico clínico/laboratorial de COVID -19; incluyó variables edad, sexo, prioridad de atención, procedencia, comorbilidades, estancia, frecuencia respiratoria y cardiaca, SO2, temperatura y signos/síntomas. Hallazgos: fallecidos, mayor frecuencia en julio (50.7%), 91,9% prioridad I/II, edad 70.1 ± 7.5 años, masculinos (71,0%), FC 103,7 ± 18,1 lat./min, FR 29,4 ± 6,4 resp./min (p<0,001), SO2 75,1% ± 14,35 y estancia 6,9 días ± 5,7; tos (68,3%), fiebre (38,0%) y cefalea (23,3%) signos/síntomas más frecuentes. El asma se asoció a la mortalidad (p=0,049). Conclusiones: El adulto mayor es una prioridad para los sistemas de salud pública; a mayor edad, masculino, que presente fiebre, tos y asma tendría mal pronóstico frente a la COVID-19.

Objetive:to determine the variables associated with mortality from COVID 19 in the older adult population. : observational study, 521 patients The studyaged 60 years and over with a clinical/laboratory diagnosis of COVID -19; variables included age, sex, priority of care, origin, comorbidities, stay, respiratory and heart rate, SO2, temperature and signs/symptoms. Findings: deaths, higher frequency in July (50.7%), 91.9% priority I/II, age 70.1 ± 7.5 years, male (71.0%), HR 103.7 ± 18.1 beats/min, RF 29.4 ± 6.4 breaths/min (p<0.001), SO2 75.1% ± 14.35 and stay 6.9 days ± 5.7; cough (68.3%), fever (38.0%) and headache (23.3%) most frequent signs/symptoms. Asthma was associated with mortality (p=0.049). The elderly is a priority for Conclusions:public health systems; older, male, with fever, cough and asthma have a poor prognosis against COVID-19.

Validation of a stratification system of surgical risk for valve surgery: VMCP score / Validación de un sistema de estratificación de riesgo quirúrgico para cirugía valvular: Escala VMCP

Abstract: Introduction: One of the various instruments that can be used to evaluate the impact of risk factors on the survival of patients undergoing valve surgery is the VMCP score. This work evaluates the performance of this tool. Objective: To validate the surgical risk score for heart valve surgery (VMCP score) in our hospital unit. Material and method: A prospective cohort study was conducted on 239 patients undergoing heart valve surgery, estimating the risk with the VMCP score. The sample was divided into two groups at a cut-off point of 8. The discriminating power of the score was analyzed based on the area under the ROC curve. A value of p < 0.05 was considered significant. The data were processed using SPSS v.25.0. Results: The score stratified the samples as follows: 40.6% of patients were without risk and 59.4% were at risk. The evaluation of the calibration component showed that the score was not appropriate for our sample (Cronbach's alpha coefficient: 0.59). The discrimination component of the score showed a poor capacity to distinguish between the population at risk of mortality (0.630) and/or morbidity (0.655). Conclusion: It is not valid to use the surgical risk score for heart valve surgery (VMCP score) in our hospital unit.

Resumen: Introducción: Existen diversos instrumentos para evaluar el impacto de los factores de riesgo sobre la supervivencia del paciente sometido a cirugía valvular, entre los que encontramos la escala VMCP, por lo que conminaremos a una evaluación del desempeño. Objetivo: Validar la escala de riesgo quirúrgico para cirugía valvular: Escala VMCP en nuestra unidad hospitalaria. Material y métodos: Se realizó un estudio de cohortes prospectivo en 239 pacientes sometidos a cirugía valvular y se les estimó el riesgo mediante la escala VMCP. La muestra se dividió en dos grupos de acuerdo con un punto de corte de 8. La capacidad de discriminación se analizó mediante el área bajo la curva ROC. Una p < 0.05 fue significativa. Los datos se procesaron con SPSS v-25.0. Resultados: La estratificación de la escala mostró: 40.6% de pacientes sin riesgo y 59.4% con riesgo. La evaluación del componente de calibración mostró que la escala no se ajusta a nuestra muestra (Coeficiente Alfa de Cronbach 0.59). La evaluación del componente de discriminación mostró que no puede distinguir la población con riesgo de mortalidad (0.630) y/o morbilidad (0.655). Conclusión: No es válido el uso del sistema de estratificación de riesgo quirúrgico para cirugía valvular, la escala VMCP, en nuestra unidad hospitalaria.

Estudio descriptivo de infección por SARS-CoV-2 en adultos con diabetes / Descriptive study of infection by SARS-CoV-2 in adults with diabetes

Resumen El objetivo del trabajo fue estimar la prevalencia de diabetes mellitus (DM) entre los pacientes con COVID-19, explorar factores asociados y describir la evolución clínica de aquellos hospitalizados. Se realizó un estudio de corte transversal que incluyó adultos positivos para COVID-19 entre 12/03/2020 y 15/10/2020, en el Hospital Italiano de Buenos Aires. De un total de 6009 personas con COVID-19, 408 presentaron diagnóstico previo de DM, arrojando una prevalencia de 6% (IC95% 6-7%), con mayor prevalencia asociada a la edad (12% en ≥ 60 años y 3% en < 60 años; p = 0.01). La mortalidad intrahospitalaria fue 6% (IC95% 6-7), siendo 15% en DM y 6% en no diabéticos (p < 0.01). Los factores asociados a la DM fueron variables, cardiovasculares, sexo masculino, hipertensión arterial, tabaquismo, insuficiencia renal crónica, insuficiencia cardíaca, enfermedad coronaria previa; y variables clínicas de fragilidad como edad, demencia e institucionalización previa (todas con p < 0.01). Solo el 23% (96/408) de los DM tuvo una medición de HbA1c en los últimos 3 meses y el 76% en el último año, con un promedio 8.6%, y un 25% en meta (HbA1c ≥ 7%). El manejo fue mayoritariamente intrahospitalario (59%), con un promedio de estadía hospitalaria de 12 días, con las siguientes complicaciones durante la hospitalización: 6% presentó un valor de hipoglucemia (< 70 mg/dl), 42% requirió oxigenoterapia, el 19% pasó a unidad cerrada, 15% requirió ARM (media de 11 días), y 25% (IC95% 20-31%) de mortalidad (promedio de 82 años).

Abstract The main objective was to estimate the prevalence of diabetes mellitus (DM) among patients with COVID-19, to explore associ ated factors; and to describe clinical evolution of hospitalized patients. A cross-sectional study was conducted, which included adults confirmed with COVID-19 between 03/12/2020 and 10/15/2020, at Hospital Italiano de Buenos Aires. From 6009 people with COVID-19, 408 had previous diagnosis of DM, yielding a prevalence of 6% (95%CI 6-7), higher prevalence was associated with age (12% in ≥ 60 years and 3% in < 60 years; p = 0.01). In-hospital mortality was 6% (95%CI 6-7), being 15% in DM and 6% compared in non-diabetics (p < 0.01). As sociated factors with DM were cardiovascular variables such as male sex, hypertension, smoking, chronic renal failure, heart failure, previous coronary disease; and clinical variables proxy of frailty such as: age, dementia and previous institutionalization (all with p < 0.01). Only 23% (96/408) of DM had an HbA1c measurement in the last 3 months and 76% in the last year, with an average 8.6%, and 25% in goal (HbA1c ≤ 7%). Management was mostly in-hospital (59%), with an average hospital stay of 12 days, with the following complications during hospitalization: 6% presented a hypoglycemic value (< 70 mg/dl), 42% required oxygen therapy, 19 % went to intensive care unit, 15% required invasive mechanical ventilation (mean 11 days), and 25% (95%CI 20-31) of in-hospital mortality (mean 82 years).

Profile of hospital admissions and in-hospital mortality due to severe acute respiratory syndrome caused by COVID-19 in Piauí, Brazil: descriptive study, 2020-2021 / Perfil de ingresos hospitalarios y mortalidad hospitalaria por síndrome respiratorio agudo grave por COVID-19 en Piauí, Brasil: estudio descriptivo, 2020-2021 / Perfil das internações e da mortalidade hospitalar por síndrome respiratória aguda grave causada por COVID-19 no Piauí: estudo descritivo, 2020-2021

Objective: To describe the profile and temporal variation of hospital admissions and hospital mortality by severe acute respiratory syndrome (SARS) related to COVID-19 in Piauí, Brazil, according to the place of admission. Methods: We performed a descriptive study from the Influenza Surveillance Information System between epidemiological weeks 12/2020 and 12/2021. Hospital mortality was calculated with 95% Confidence Interval (95%CI). Results: The hospitalized patients were mostly male (57.1%), black (61.2%) and had one or two comorbidities (30.5%). Hospital mortality was higher in the interior with coefficients of 44.1% (95%CI 42.0;46.3) in hospitalized patients, 82.3% (95%CI 79.7;84.8) in intensive care units and 96.6% (95%CI 94.9;97.8) of those undergoing invasive mechanical ventilation.Conclusion: The study allowed the characterization of the profile of hospitalizations for SARS caused by COVID-19 in Piauí and demonstrated high in-hospital mortality, which remained high during the study period, especially in the interior.

Objetivo: Describir el perfil y variación temporal de los ingresos hospitalarios y la mortalidad por síndrome respiratorio agudo grave (SRAG) causada por COVID-19 en Piauí, Brasil, según el lugar de ingreso. Métodos: Estudio descriptivo con dados del Sistema de Información de Vigilancia Epidemiológica de Influenza en las semanas epidemiológicas 12/2020 a 12/2021. Se calculó la mortalidad hospitalaria con intervalo de confianza del 95% (IC95%). Resultados: Los pacientes hospitalizados eran en su mayoría hombres (57,1%), negros (61,2%) y tenían una o dos comorbilidades (30,5%). La mortalidad hospitalaria fue mayor en el interior con coeficientes de 44,1% (IC95% 42,0;46,3) en pacientes hospitalizados, 82,3% (IC95% 79,7;84,8) en unidades de cuidados intensivos y 96,6% (IC95% 94,9;97,8) de los sometidos a ventilación mecánica invasiva.Conclusión: El estudio permitió caracterizar el perfil de hospitalizaciones por SRAG por COVID-19 en Piauí y mostró una alta mortalidad hospitalaria, que se mantuvo alta durante el período de estudio, especialmente en el interior.

Objetivo: Descrever o perfil e a variação temporal das internações e mortalidade hospitalar por síndrome respiratória aguda grave (SRAG) por COVID-19 no Piauí, Brasil, segundo local de internação. Métodos: Estudo descritivo sobre dados do Sistema de Informação da Vigilância Epidemiológica da Gripe, da 12ª semana epidemiológica de 2020 à 12ª de 2021. Calculou-se a mortalidade hospitalar e respectivos intervalos de confiança de 95% (IC95%). Resultados: Os indivíduos observados eram majoritariamente do sexo masculino (57,1%), negros (61,2%), com uma ou duas comorbidades (30,5%). A mortalidade hospitalar no interior, entre internados (44,1% ­ IC95% 42,0%;46,3%), admitidos em unidades de terapia intensiva (82,3% ­ IC95% 79,7;84,8) e indivíduos submetidos a ventilação mecânica invasiva (96,6% ­ IC95% 94,9;97,8), foi maior do que na capital do estado. Conclusão: O estudo permitiu a caracterização do perfil das internações devidas a SRAG por COVID-19 no Piauí e demonstrou mortalidade hospitalar elevada, mantendo-se alta no período estudado, sobretudo no interior.

Factores de riesgo de reingreso en UCI y análisis de la mortalidad intrahospitalaria / Risk factors for readmission to ICU and analysis of intra-hospital mortality

IntroducciónLos pacientes críticos, a pesar de la recuperación inicial en la unidad de cuidados intensivos (UCI), pueden precisar reingreso en UCI o incluso fallecer en el mismo episodio hospitalario. Los objetivos son: conocer la incidencia e identificar factores de riesgo de reingreso en UCI, y determinar la mortalidad hospitalaria.MétodosEstudio de cohortes observacional de todos los pacientes ingresados consecutivamente más de 24h en la UCI del Hospital Universitario de Getafe entre el 1-04-2018 y el 30-09-2018 y dados de alta vivos de su primer ingreso en UCI.ResultadosDe los 164 pacientes vivos al alta de UCI, 14 (8,5%) fueron reingresados en UCI (2,4% en≤48h). El riesgo ajustado de reingreso en UCI fue mayor en los pacientes con déficit neurológico discapacitante previo al ingreso en UCI (odds ratio [OR]: 7,96; intervalo de confianza del 95% [IC 95%]: 1,55-40,92) o que recibieron fármacos vasoactivos (OR: 5,07; IC 95%: 1,41-18,29) durante su estancia en UCI. Los pacientes reingresados tuvieron mayor mortalidad hospitalaria (4 de 14 [29%] versus 5 de 150 [3%], p<0,001) y mayor estancia hospitalaria (74,5 [37,5-99,75] días versus 16 [9-34] días, mediana [rango intercuartílico], p=0,001).ConclusionesLos pacientes con déficit neurológico discapacitante previo al ingreso hospitalario o que recibieron fármacos vasoactivos durante la estancia en UCI tienen mayor riesgo de reingreso en UCI, lo que aumenta la estancia y la mortalidad hospitalaria.

Factores de riesgo de mortalidad en pacientes mayores de 65 años hospitalizados por COVID-19 / Risk factors for mortality in patients over 65 years old hospitalized by COVID-19

Antecedentes y objetivoCOVID-19 es una enfermedad causada por el coronavirus 2 del síndrome respiratorio agudo grave (SARS-CoV-2), que ha provocado una pandemia que sufrimos en la actualidad.Objetivo:identificar factores asociados con la mortalidad en pacientes de 65 años o más hospitalizados por COVID-19.Materiales y métodos: Estudio observacional retrospectivo. Incluimos pacientes de edad ≥65 años ingresados por COVID-19 entre el 5 y el 25 de marzo del 2020. Utilizamos el análisis bivariante y la regresión logística multivariante para determinar los factores de riesgo asociados a la mortalidad hospitalaria.Resultados: Se incluyeron 277 pacientes en el presente estudio. El análisis bivariante mostró diferencias significativas (p<0,05) entre fallecidos y supervivientes: edad, mayor dependencia y comorbilidad, antecedentes de cardiopatía isquémica, insuficiencia renal y neoplasias no hematológicas, insuficiencia cardiaca durante el ingreso, leucocitosis, valores elevados de creatinina, PCR, GOT y troponina Ic, linfopenia, y disminución de SatO2 y pH sanguíneo. La regresión logística multivariante reveló que la edad ≥65 años [OR: 4,23 (IC 95%: 1,43-12,52); p=0,009], linfopenia <1.000/μl [OR: 2,36 (IC 95%: 1,07-5,20); p=0,033], creatinina>1,2mg/dl [OR: 3,08 (IC 95%: 1,37-6,92); p=0,006], SatO2 <90% [OR: 2,29 (IC 95%: 1,01-5,21); p=0,049] y la troponina Ic>11ng/ml [OR: 2,32 (IC 95%: 1,04-5,16); p=0,040] se asociaron independientemente con mayor mortalidad hospitalaria.Conclusiones: La edad avanzada, linfopenia, SatO2 <90%, valores elevados de creatinina y troponina Ic se asociaron independientemente con mayor mortalidad en pacientes hospitalizados con COVID-19, lo que podría ayudar a los médicos a identificar a los pacientes con mal pronóstico para su manejo y tratamiento. (AU)

Background and objectiveCOVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has caused a global pandemic that we are currently suffering from.Objective: to identify factors associated with the death of patients aged 65 years or older hospitalized for COVID-19.Materials and methods: Retrospective cohort study. We included patients aged 65 years or older who were hospitalized for COVID-19 and dead o discharged between March 5 and 25, 2020. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death.Results: 277 patients were included in this study. The bivariate analysis showed significant differences (p<0.05) between survivors and non survivors: age, increased dependence and comorbidity, history of ischemic heart disease, renal failure and non-hematological neoplasms, heart failure during admission, leukocytosis, elevated creatinine, PCR, GOT and troponin Ic values, lymphopenia, and decreased blood pH and SatO2. Multivariate logistic regression revealed that age ≥65 years (OR: 4.23 (95% CI: 1.43-12.52; p=0.009), lymphopenia <1000/μL (OR: 2.36 (95% CI: 1.07-5.20; p=0.033), creatinine>1.2mg/dL (OR: 3.08 (95% CI: 1.37-6.92; p=0.006), SatO2 <90% (OR: 2.29 (95% CI: 1.01-5.21; p=0.049) and troponin Ic>11ng/mL (OR: 2.32 (95% CI: 1.04-5.16; p=0.040) were independently associated with higher hospital mortality. Conclusions: Older age, lymphopenia, SatO2 <90%, elevated creatinine and troponin Ic values were independently associated with higher mortality in hospitalized patients with COVID-19, these factors could help clinicians to identify patients with poor prognosis. (AU)

[Risk factors for mortality in patients over 65 years old hospitalized by COVID-19]. / Factores de riesgo de mortalidad en pacientes mayores de 65 años hospitalizados por COVID-19.

BACKGROUND AND OBJECTIVE: COVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has caused a global pandemic that we are currently suffering from. OBJECTIVE: to identify factors associated with the death of patients aged 65 years or older hospitalized for COVID-19. MATERIALS AND METHODS: Retrospective cohort study. We included patients aged 65 years or older who were hospitalized for COVID-19 and dead o discharged between March 5 and 25, 2020. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. RESULTS: 277 patients were included in this study. The bivariate analysis showed significant differences (p<0.05) between survivors and non survivors: age, increased dependence and comorbidity, history of ischemic heart disease, renal failure and non-hematological neoplasms, heart failure during admission, leukocytosis, elevated creatinine, PCR, GOT and troponin Ic values, lymphopenia, and decreased blood pH and SatO2. Multivariate logistic regression revealed that age ≥65 years (OR: 4.23 (95% CI: 1.43-12.52; p=0.009), lymphopenia <1000/µL (OR: 2.36 (95% CI: 1.07-5.20; p=0.033), creatinine>1.2mg/dL (OR: 3.08 (95% CI: 1.37-6.92; p=0.006), SatO2 <90% (OR: 2.29 (95% CI: 1.01-5.21; p=0.049) and troponin Ic>11ng/mL (OR: 2.32 (95% CI: 1.04-5.16; p=0.040) were independently associated with higher hospital mortality. CONCLUSIONS: Older age, lymphopenia, SatO2 <90%, elevated creatinine and troponin Ic values were independently associated with higher mortality in hospitalized patients with COVID-19, these factors could help clinicians to identify patients with poor prognosis.

Risk factors for readmission to ICU and analysis of intra-hospital mortality. / Factores de riesgo de reingreso en UCI y análisis de la mortalidad intrahospitalaria.

INTRODUCTION: Critical patients, despite initial recovery in the intensive care unit (ICU), may require readmission to the ICU or even die in the same hospital episode. The objectives are to determine the incidence and to identify risk factors for ICU readmission, and to determine hospital mortality. METHODS: Observational cohort study of all patients admitted consecutively for more than 24hours to the ICU of the University Hospital of Getafe between April 1, 2018 and September 30, 2018 and discharged alive from their first ICU admission. RESULTS: Of the 164 patients alive at ICU discharge, 14 (8.5%) were readmitted to ICU (2.4% at≤48hours). The adjusted risk of ICU readmission was higher in patients with disabling neurological deficits prior to ICU admission [odds ratio (OR) 7.96, 95% confidence interval (CI) 1.55-40.92] or who received vasoactive drugs (OR 5.07, 95% CI 1.41-18.29) during their ICU stay. Readmitted patients had higher hospital mortality (4 of 14 [29%] versus 5 of 150 [3%], P<.001) and longer hospital stay (74.5 [37.5-99.75] days versus 16 [9-34] days, median [interquartile range], P=.001). CONCLUSIONS: Patients with disabling neurological deficits prior to hospital admission or who received vasoactive drugs during their ICU stay have a higher risk of readmission to the ICU, which increases hospital stay and mortality.

Caracterização dos óbitos notificados decorrentes de complicações dos cuidados médicos e cirúrgicos / Characterization of reported deaths resulting from complications of medical and surgical care / Caracterización de las muertes reportadas como resultado de complicaciones de la atención médica y quirúrgica

Objetivo: descrever os casos de óbitos notificados por complicações de assistência médica e cirúrgica no Brasil entre 2015 a 2018. Método: descritivo e retrospectivo conduzido entre junho e julho de 2020 com os registros de óbitos extraídos do Sistema de Informações sobre Mortalidade em Saúde. Os dados foram agrupados em dois biênios 2015-2016 e 2017-2018 e analisados por estatística descritiva e variações percentuais. Resultados: foram notificados 6.587 óbitos, com destaque para o biênio 2017-2018 (n=3.425;52%). Os óbitos ocasionados pelo uso de equipamentos médicos reduziram no Brasil, com variação percentual negativa de 15,4% entre os biênios. Houve aumento das mortes por efeitos adversos de drogas/medicamentos com variação percentual positiva de 12,2%. O número de óbitos por acidentes durante a assistência hospitalar se manteve estacionário. Conclusão: observaram-se alterações nos registros de óbitos notificados no Brasil, e expandir ações preventivas que visem reduzir os óbitos são necessárias em todos os grupos de notificação.

Objective: describing the cases of deaths reported due to complications of medical and surgical care in Brazil between 2015 to 2018. Method: a descriptive and retrospective conducted between June and July 2020 with the records of deaths extracted from the Health Mortality Information System. The data were grouped into two biennia, 2015-2016, and 2017-2018, and analyzed by descriptive statistics and percentage variations. Results: there were reported 6,587 deaths, especially the 2017-2018 biennium (n=3,425;52%). Deaths caused using medical equipment reduced in Brazil, with a negative percentage variation of 15.4% among the biennia. There was an increase in deaths from adverse effects of drugs/medications with a positive percentage variation of 12.2%. The number of deaths from accidents during hospital care remained stationary. Conclusion: changes were observed in the records of deaths notified in Brazil, and expanding preventive actions aimed at reducing deaths are necessary in all notification groups.

Objetivo: describir los casos de muertes reportadas por complicaciones de la atención médica y quirúrgica en Brasil entre 2015 y 2018. Método: descriptivo y retrospectivo realizado entre junio y julio de 2020 con los registros de defunciones extraídos del Sistema de Información de Mortalidad en Salud. Los datos se agruparon en dos bienios 2015-2016 y 2017-2018 y se analizaron mediante estadísticas descriptivas y variaciones porcentuales. Resultados: se reportaron 6.587 muertes, especialmente em el bienio 2017-2018 (n=3.425;52%). Las muertes causadas por el uso de equipo médico se redujeron en Brasil, con una variación porcentual negativa del 15,4% entre los bienios. Hubo un aumento en las muertes por efectos adversos de medicamentos con una variación porcentual positiva de 12.2%. El número de muertes por accidentes durante la atención hospitalaria se mantuvo estacionario. Conclusión: se observaron cambios en los registros de muertes notificadas en Brasil, y es necesario ampliar las acciones preventivas dirigidas a reducir las muertes en todos los grupos de notificación.

Association of the Charlson index with risk classification, clinical aspects, and emergency outcomes / Asociación del índice de Charlson con clasificación de riesgo, aspectos clínicos y resultados en urgencias / Associação do índice de Charlson com classificação de risco, aspectos clínicos e desfechos na emergência

Abstract Objective: To exam the association of the age-adjusted Charlson comorbidity index with the categories of risk classification, the clinical aspects, and the patient outcomes in the emergency department. Method: Cross-sectional, analytical study that analyzed the medical records of 3,624 patients seen in the emergency department. Charlson index scores greater than 2 showed a high rate of comorbidity (mortality risk). T-test and analysis of variance were applied in the analyses. Results: There was a significant difference between the Charlson comorbidity index and the risk classification, with higher scores found in patients classified in the white (2.57) and red (2.06) categories. Patients with vascular, endocrine, neurological, cardiologic, or device problems, and those who underwent a head tomography had a high rate of comorbidity. In addition, those admitted, transferred, or who died in the emergency room had significantly higher index scores compared to those who were discharged from the hospital. Conclusion: The high rate of comorbidity was associated with the categories of risk classification, main and nonspecific complaints, performance of a head tomography, and patient outcomes in the emergency room.

RESUMO Objetivo: Verificar a associação entre o índice de comorbidade de Charlson ajustado à idade e as categorias de classificação de risco, os aspectos clínicos e os desfechos de pacientes no serviço de emergência. Método: Estudo transversal, analítico que analisou prontuários de 3.624 pacientes atendidos na emergência. Escores do índice de Charlson superiores a 2 retrataram alto índice de comorbidade (risco de mortalidade). Teste t e análise de variância foram aplicados nas análises. Resultados: Houve diferença significativa entre o índice de comorbidade de Charlson e a classificação de risco, com maiores escores encontrados nos pacientes classificados nas categorias branca (2,57) e vermelha (2,06). Pacientes com queixas vasculares, endócrinas, neurológicas, cardiológicas ou com problemas em dispositivos, e os que realizaram tomografia de crânio apresentaram alto índice de comorbidade. Ademais, os internados, transferidos ou que morreram na emergência apresentaram significativamente maiores escores do índice em comparação com os que tiveram alta hospitalar. Conclusão: O alto índice de comorbidade teve associação com as categorias da classificação de risco, queixas principais e inespecíficas, realização de tomografia de crânio e desfechos dos pacientes na emergência.

RESUMEN Objetivo: Averiguar la asociación entre el índice de comorbidad de Charlson ajustado a la edad y las categorías de clasificación de riesgo, aspectos clínicos y resultados de pacientes en servicios de urgencias. Método: Estudio transversal, analítico que analizó la historia clínica de 3.624 pacientes atendidos en urgencias. Escores del índice de Charlson superiores a 2 demostraron alto índice de comorbidad (riesgo de mortalidad). Prueba T y análisis de varianza se aplicaron en los análisis. Resultados: Hubo una diferencia significativa entre el índice de comorbidad de Charlson y la clasificación de riesgo, con escores superiores encontrados entre los pacientes de la categoría blanca (2,57) y roja (2,06). Pacientes con quejas vasculares, endocrinas, neurológicas, cardiológicas o con problemas en dispositivos, y los que realizaron tomografía de cráneo presentaron alto índice de comorbidad. Además, los ingresados transferidos o los que murieron en urgencias presentaron escores bastante superiores del índice en comparación a los que tuvieron alta. Conclusión: El alto índice de comorbidad estuvo relacionado con las categorías de la clasificación de riesgo, quejas principales e inespecíficas, realización de tomografía de cráneo y resultados de pacientes en urgencias.

Artroplastia de quadril no Sistema Único de Saúde: análise dos óbitos hospitalares no Estado do Rio de Janeiro, Brasil / Hip arthroplasty in the Brazilian Unified National Health System: analysis of hospital deaths in the State of Rio de Janeiro, Brazil / Artroplastia de cadera en el Sistema Único de Salud: análisis de las muertes hospitalarias en el Estado de Río de Janeiro, Brasil

O envelhecimento populacional traz desafios ao sistema de saúde. O aumento das doenças degenerativas articulares e a ocorrência de quedas podem demandar a realização de artroplastia de quadril. Objetivou-se avaliar os fatores associados a óbitos hospitalares por artroplastia de quadril no Sistema Único de Saúde (SUS), no Estado do Rio de Janeiro, Brasil. Realizou-se um estudo transversal utilizando o Sistema de Informações Hospitalares do SUS, considerando internações e óbitos por artroplastias de quadril ocorridos entre 2016-2018. As análises consideraram as internações por caráter de atendimento (eletivo, urgência e acidentes ou lesão e envenenamento). Realizou-se regressão logística binária para obter a razão de chance de óbito. A mortalidade aumentou conforme a gravidade da internação. A maioria das internações com óbito foi por fratura de fêmur, demandando cuidados intensivos, tempo médio de permanência de 21,5 dias, envolveu mulheres com 80 anos e mais, da raça/cor branca, que realizaram procedimento em unidades habilitadas em alta complexidade em ortopedia e traumatologia, municipais e classificadas como geral II, localizadas na região de moradia do usuário. A chance de óbito se mostrou significativa para a idade do usuário, uso de unidade de terapia intensiva (UTI) e permanência hospitalar. Espera-se aumento da demanda por artroplastias de quadril e reabilitação física com o envelhecimento populacional. As equipes de saúde devem estar preparadas para lidar com uma população envelhecida. Conhecer os fatores que incrementem o risco de óbito favorece o planejamento e o manejo do cuidado pela equipe hospitalar, inclusive no sentido de diminuir a permanência hospitalar, tão impactante na condição funcional de pessoas idosas.

Population aging brings challenges to the health system. Increased degenerative joint diseases and occurrence of falls may require hip arthroplasties. The objective of this study was to evaluate factors associated with hospital deaths due to hip arthroplasties in the Brazilian Unified National Health System (SUS), in the State of Rio de Janeiro, Brazil. A cross-sectional study was carried out using the Brazilian Hospital Information System of the SUS, considering hospitalizations and deaths from hip arthroplasties that occurred between 2016 to 2018. The analyses considered hospitalizations by type of care (elective, urgency and accidents or injury and poisoning). Binary logistic regression was performed to obtain a ratio for the chance of death. Mortality increased according to the severity of hospitalization. Most of the hospitalizations with death were due to femoral fracture, demanded intensive care, had mean length of stay of 21.5 days, and involved women aged 80 years and over, of the white race/color, who had their procedure performed in municipal units qualified in orthopedics and traumatology of high complexity and classified as general II, located in the patients' region of residence. The chance of death was significant for the age of the patient, use of intensive care unit (ICU), and length of hospital stay. We expect an increase in the demand for hip arthroplasties and physical rehabilitation due to population aging. Health teams must be prepared to deal with an ageing population. Knowing the factors that increase the risk of death favors care planning and management by hospital staff, including in the reduction of hospital stay, which is so impactful on the functional condition of the elderly.

El envejecimiento poblacional trae desafíos al sistema de salud. El aumento de las enfermedades degenerativas articulares y la incidencia de caídas pueden demandar la realización de artroplastias de cadera. Tuvo como objetivo evaluar los factores asociados a las muertes hospitalarias por artroplastias de cadera en el Sistema Único de Salud (SUS), en el Estado de Rio de Janeiro, Brasil. Se realizó un estudio transversal utilizando el Sistema de Información Hospitalaria del SUS, considerando hospitalizaciones y muertes por artroplastias de cadera ocurridas entre 2016-2018. Los análisis consideraron las hospitalizaciones según la naturaleza de la atención (electiva, urgencia y accidentes o lesiones e intoxicaciones). Se realizó una regresión logística binaria para obtener la razón de probabilidad de muerte. La mortalidad aumentó según la gravedad de la hospitalización. La mayoría de las hospitalizaciones con muerte se debió a la fractura de fémur, y requirió cuidados intensivos, tiempo promedio de estancia de 21,5 días, correspondió a mujeres de 80 años o más, de raza/color blanca, a quienes se sometió al procedimiento en unidades habilitadas de alta complejidad en ortopedia y traumatología, municipal y clasificadas como general II, ubicadas en la región de residencia del usuario. La probabilidad de muerte se mostró significativa para la edad del usuario, el uso de la unidad de cuidados intensivos (UCI) y la estancia hospitalaria. Se espera que la demanda de artroplastias de cadera y rehabilitación física aumente a medida que la población envejece. Los equipos de salud deben estar preparados para atender a una población que envejece. El conocimiento de los factores que incrementan el riesgo de muerte favorece la planificación y el manejo del cuidado por parte del equipo hospitalario, incluso en el sentido de reducir la estancia hospitalaria, que tanto afecta la condición funcional de la persona mayor.

Sobrevida e fatores associados à mortalidade de pacientes com internações de longa permanência / Survival and mortality time of patients with long-stay hospitalizations in a hospital of high complexity / Supervivencia y factores asociados a la mortalidad en pacientes con hospitalizaciones de larga duración

Objetivo: Analisar a sobrevida e os fatores associados à mortalidade de pacientes com internações de longa permanência. Método: Estudo transversal, a partir de registros dos pacientes que tiveram internação de longa permanência, em hospital de alta complexidade, pelo Sistema Único de Saúde, de 2014 a 2017, com exclusão das reinternações. Utilizou-se a Regressão de Cox para identificação dos fatores associados à mortalidade. Dentre os pacientes internados na Unidade de Terapia Intensiva aplicou-se a curva Roc para determinar o ponto de corte do dia de maior risco de óbito. Resultados: Foram identificadas 1.209 internações de longa permanência resultando em prevalência de 7,3%. Do total de pacientes de longa permanência, 50,3% foram a óbito, a maioria com idade superior a 60 anos, com doenças do aparelho circulatório (40%). Os fatores associados à mortalidade dos pacientes com internação de longa permanência foram: ser idoso (HR=2,31; IC95%:1,89-2,81; p<0,001); internação clínica (HR=1,82; IC95%: 1,54-2,15; p<0,001) e internação em UTI (HR=12,41; IC95%: 6,74-22,8; p<0,001). A mortalidade dos pacientes que foram internados na Unidade de Terapia Intensiva foi significativamente maior a partir do nono dia (p = 0,036). Conclusão: Verificou-se uma alta taxa de mortalidade em pacientes com internação de longa permanência, principalmente, entre idosos com doenças crônico-degenerativas e em cuidados paliativos. (AU)

Objective: To analyze the survival time and factors associated with the mortality of patients with long-stay hospitalizations in a hospital of high complexity. Methods: Cross-sectional study. We included records of patients who had long-term hospitalization for the Unified Health System between 2014 and 2017, excluding rehospitalizations. Cox Regression was used to identify the factors associated with mortality. Still, among the patients who were admitted to the intensive care unit, the Roc curve was used to determine the cutoff point to identify the day on which the patients had a higher risk of death. Results: 1,209 long-stay hospitalizations were identified, resulting in a prevalence of 7.3%. Of the total long-stay patients, 50.3% died. The majority were over 60 years old, with diseases of the circulatory system (40%). The factors associated with the mortality of patients with long-term hospitalization were: elderly (HR = 2.31; 95% CI: 1.89-2.81); clinical hospitalization (HR = 1.82, 95% CI: 1.54-2.15); ICU admission (HR = 12.41, 95% CI: 6.74-22.8). Mortality of patients admitted to the intensive care unit was significantly higher after the ninth day (p = 0.036). Conclusion: There was a high mortality rate in patients with long-term hospitalization, mainly among elderly people with chronic degenerative diseases and in palliative care. (AU)

Objetivo: Analizar la supervivencia y los factores asociados a la mortalidad en pacientes con hospitalizaciones de larga duración. Métodos: Estudio transversal, basado en registros de pacientes que tuvieron hospitalización de larga duración en un hospital de alta complejidad, a través del Sistema Único de Salud, de 2014 a 2017, excluyendo reingresos. Se utilizó la regresión de Cox para identificar los factores asociados con la mortalidad. Entre los pacientes ingresados en la Unidad de Cuidados Intensivos se aplicó la curva de Roc para determinar el punto de corte del día con mayor riesgo de muerte. Resultados: Se identificaron 1.209 hospitalizaciones de larga duración, lo que resultó en una prevalencia del 7,3%. Del total de pacientes de larga evolución falleció el 50,3%, la mayoría mayores de 60 años, con enfermedades del sistema circulatorio (40%). Los factores asociados a la mortalidad de los pacientes con hospitalización de larga duración fueron: anciano (HR=2,31; IC95%:1,89-2,81); hospitalización clínica (HR=1,82; IC95%: 1,54-2,15) e ingreso a una unidad de cuidados intensivos (HR=12,41; IC95%: 6,74-22,8). Conclusion: La mortalidad de los pacientes que ingresaron en la Unidad de Cuidados Intensivos fue mayor a partir del noveno día (p=0,036). Se identificó una alta tasa de mortalidad en pacientes con hospitalización de larga duración, especialmente entre personas mayores con enfermedades crónico-degenerativas y en cuidados paliativos. (AU)