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Background: People in low-income countries, especially those with low socio-economic conditions, are likelier to test positive for SARS-CoV-2. The unequal conditions of public health systems also increase the infection rate and make early identification and treatment of at-risk patients difficult. Here, we aimed to characterize the epidemiological profile of COVID-19 patients in intensive care and identify laboratory and clinical markers associated with death. Materials and methods: We conducted an observational, descriptive, and cross-sectional study in a reference hospital for COVID-19 treatment in the Southern Region of Bahia State, in Brazil, to evaluate the epidemiological, clinical, and laboratory characteristics of COVID-19 patients admitted to the intensive care unit (ICU). Additionally, we used the area under the curve (AUC) to classify survivors and non-survivors and a multivariate logistic regression analysis to assess factors associated with death. Data was collected from the hospital databases between April 2020 and July 2021. Results: The use of bladder catheters (OR 79.30; p < 0.0001) and central venous catheters (OR, 45.12; p < 0.0001) were the main factors associated with death in ICU COVID-19 patients. Additionally, the number of non-survivors increased with age (p < 0.0001) and prolonged ICU stay (p < 0.0001). Besides, SAPS3 presents a higher sensibility (77.9%) and specificity (63.1%) to discriminate between survivors and non-survivor with an AUC of 0.79 (p < 0.0001). Conclusion: We suggest that multi-laboratory parameters can predict patient prognosis and guide healthcare teams toward more assertive clinical management, better resource allocation, and improved survival of COVID-19 patients admitted to the ICU.

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INTRODUCTION: Reviewing the profile of patients admitted at the Burns Intensive Care Unit at São Paulo Hospital - UNIFESP, as well as the available literature, it becomes evident the need for tools able to predict those patients' outcomes. Distinct score models are used in different health centers, not only as prognostic models, but also as research and quality control tools. Amongst these prognostic scores, there are two strands, the burns specific scores - which consider the injury's characteristics - and the general critical patient's scores. OBJECTIVE: This study aims to analyze the differences and tendencies in mortality prediction of two broadly used scores when applied to São Paulo Hospital's Burns Intensive Care Unit patients, ABSI - burns specific score - and SAPS 3 - general score for critical patients. METHODS: This is an individual, observational, retrospective and comparative study, developed with medical records review. Both scores were applied to every patient admitted at São Paulo Hospital's Burns Intensive Care Unit from 2011 to 2016. Statistical analyses used the non-parametric test of Kolmogorov-Smirnov, a p-value <0.05 was considered significant. RESULTS: 122 patients were included, the average age was 34,4 years old. 70,5% of patients were male and 49% had a total body surface area burned of 20%. 27% of the patients died. Statistical analyses do not show significant differences between ABSI and SAPS3 mortality predictions for burns patients at this health center. CONCLUSION: The study evidences that SAPS 3 score, frequently used at general Intensive Care Units, has a similar performance to ABSI score, which is specific for burns populations. ABSI score is easier to implement, as it is simpler and able to show instant results.

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BACKGROUND AND PURPOSE: Acute physiologic derangements and multiple organ dysfunction are common after subarachnoid hemorrhage. We aimed to evaluate the simplified acute physiology score 3 (SAPS-3) and the sequential organ failure assessment (SOFA) scores for the prediction of in-hospital mortality in a large multicenter cohort of SAH patients. METHODS: This was a retrospective analysis of prospectively collected data from 45 ICUs in Brazil, during 2014 and 2015. Patients admitted with non-traumatic subarachnoid hemorrhage (SAH) were included. Clinical and outcome data were retrieved from an electronic ICU quality registry. SAPS-3 and SOFA scores, without the neurological components (i.e., nSAPS-3 and nSOFA, respectively) were recorded, as well as the World Federation of Neurological Surgeons (WFNS) scale. We used multilevel logistic regression analysis to identify factors associated with in-hospital mortality. We evaluated performance using the area under the receiver operating characteristic curve (AUROC), as well as calibration belts and precision-recall plots. RESULTS: The study included 997 patients, from which 426 (43%) had poor clinical grade (WFNS 4 or 5) and in-hospital mortality was 34%. Median nSAPS-3 and nSOFA score at admission were 46 (IQR: 38-55) and 2 (0-5), respectively. Non-survivors were older, had higher nSAPS-3 and nSOFA, and more often poor grade. After adjustment for age, poor grade and withdrawal of life sustaining therapies, multivariable analysis identified nSAPS-3 and nSOFA score as independent clinical predictors of in-hospital mortality. The AUROC curve that included nSAPS-3 and nSOFA scores significantly improved the already good discrimination and calibration of age and WFNS to predict in-hospital mortality (AUROC: 0.89 for the full final model vs. 0.85 for age and WFNS; P < 0.0001). CONCLUSIONS: nSAPS-3 and nSOFA scores were independently associated with in-hospital mortality after SAH. The addition of these scores improved early prediction of hospital mortality in our cohort and should be integrated to other specific prognostic indices in the early assessment of SAH.

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Justificativa e Objetivos: A avaliação da gravidade dos pacientes admitidos e suposição de prognósticos são características essenciais na medicina intensiva. O objetivo desse artigo é descrever o perfil epidemiológico e avaliar a mortalidade dos pacientes de uma unidade de terapia intensiva (UTI), segundo o cálculo do índice prognóstico Simplified Acute Physiology Score (SAPS) 3 por meio da sua equação global e da customizada para a América Latina. Métodos: Trata-se de uma coorte prospectiva realizada em uma UTI de Sergipe, com os casos admitidos entre setembro de 2018 e março de 2019. Os dados clínicos, demográficos e parâmetros para o cálculo do escore foram coletados em prontuários. A Standardized Mortality Ratio (SMR), a discriminação e a calibração foram calculadas para ambas as equações. Resultados: Foram incluídos 78 pacientes, sendo 60% do sexo masculino. A idade média foi 61,7 ± 17,2 anos. As infecções respiratórias foram a principais causas de internação (32,1%). O menor valor do SAPS 3 foi 13 e o maior 90, média de 65,9 ± 25,5. A mortalidade observada foi de 61,5%, e a média presumida foi de 47,4% pela equação global (SMR= 1,3) e 57,8% pela customizada (SMR= 1,04). O SAPS 3 demonstrou adequadas discriminação e calibração. Conclusão: Foi identificada uma alta taxa de mortalidade no estudo, no entanto, a média do escore SAPS 3 encontrado também, foi superior à maioria das publicações. O perfil epidemiológico encontrado mostrou-se próximo aos de outras unidades semelhantes. Ambas as equações apresentaram calibração e discriminação adequadas, com desempenho superior da equação customizada.(AU)

Background and Objectives: Assessment of the severity of admitted patients and assumption of prognoses are essential features in intensive care medicine. To describe the epidemiological profile and evaluate the mortality of the patients admitted to a intensive care unit (ICU) according to the prognostic index Simplified Acute Physiology Score (SAPS) 3 calculation through its global and customized equation for Latin America. Methods: It is a prospective cohort performed at a ICU in Sergipe, with cases admitted between September 2018 and March 2019. The clinical and demographic data, besides the variables for the score calculation were collected in medical records. The Standardized Mortality Ratio (SMR), discrimination and calibration were calculated for both equations. Results: We included 78 patients, 60% of them male. The mean age was 61.7 ± 17.2 years. Respiratory infections were the main causes of hospitalization (32.1%). The lowest value of SAPS 3 was 13 and the highest 90, mean of 65.9 ± 25.5. The observed mortality rate was 61.5%, and the assumed average was 47.4% for the global equation (SMR = 1.3) and 57.8% for the customized (SMR = 1.04). SAPS 3 demonstrated adequate discrimination and calibration. Conclusion: A high mortality rate was identified in the study, however, the average SAPS 3 score found was also superior to most publications. The epidemiological profile observed was close to those of other similar units. Both equations presented adequate calibration and discrimination, the customized one showing superior performance.(AU)

Justificación y Objetivos: La evaluación de la gravedad de los pacientes ingresados y la suposición de pronósticos son características esenciales en la medicina de cuidados intensivos. El objetivo de esta investigación es describir el perfil epidemiológico y evaluar la mortalidad de los pacientes de una unidad de cuidados intensivos (UCI) según el cálculo del índice de pronóstico de la puntuación de fisiología aguda simplificada 3 (SAPS 3) a través de su ecuación global y personalizada para América Latina. Método: Esta fue una cohorte prospectiva realizada en una UCI en Sergipe, con casos admitidos entre septiembre de 2018 y marzo de 2019. Los datos clínicos, demográficos y de parámetros para el cálculo de la puntuación se recopilaron en los registros médicos. La tasa de mortalidad estandarizada (SMR), la discriminación y la calibración se calcularon para ambas ecuaciones. Resultados: se incluyeron 78 pacientes, el 60% de ellos varones. La edad media fue de 61,7 ± 17,2 años. Las infecciones respiratorias fueron las principales causas de hospitalización (32,1%). El valor más bajo de SAPS 3 fue 13 y el más alto 90, promedio de 65.9 ± 25.5. La tasa de mortalidad observada fue de 61.5% y el promedio asumido fue de 47.4% para la ecuación global (SMR = 1.3) y de 57.8% para los personalizados (SMR = 1.04). Las SAPS 3 demostraron una adecuada discriminación y calibración. Conclusiones: Se identificó una alta tasa de mortalidad en el estudio, sin embargo, la puntuación promedio SAPS 3 encontrada también fue superior a la mayoría de las publicaciones. El perfil epidemiológico encontrado fue cercano al de otras unidades similares. Ambas ecuaciones presentaron una adecuada calibración y discriminación, con un rendimiento superior del personalizado.(AU)

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Sepse é definida como uma resposta inflamatória sistêmica frente a um microrganismo, sendo uma das principais causas de morte em pacientes internados em unidades de terapia intensiva (UTI). Na sepse, a cascata de coagulação é ativada, contribuindo na formação de tromboembolismo venoso localizado e coagulação intravascular disseminada, uma das responsáveis pela síndrome da disfunção orgânica múltipla; além disso, o consumo de plaquetas e de proteínas de coagulação pode resultar em hemorragias graves. Pacientes com sepse internados em UTI têm como principais prestadores de assistência a equipe de enfermagem que pode ter suas atividades organizadas pela Sistematização da Assistência de Enfermagem (SAE). A SAE possibilita perspectivas em relação ao cuidado, guia e normatiza mais precisamente a assistência de enfermagem direcionando a resolução dos problemas dos pacientes, pois mobiliza competências profissionais específicas no cuidado, resultando na qualidade da assistência. Esse estudo objetivou avaliar a relação de dois componentes do sistema hemostático (contagem de plaquetas e International Normalized Ratio - INR) com a gravidade clínica e com o desfecho em pacientes diagnosticados com sepse internados na UTI. Trata-se de um estudo quantitativo, exploratório e correlacional no qual os dados foram coletados de maneira pregressa. O estudo desenvolveu-se num hospital público de cuidados de alta complexidade em nível ambulatorial e hospitalar, por meio da análise de prontuários de pacientes diagnosticados com sepse internados na UTI no período de janeiro a dezembro de 2017. As variáveis relacionadas às características sócio- demográficas, clínicas e o tempo de assistência de enfermagem foram coletadas do prontuário eletrônico dos pacientes utilizando-se formulário específico. Foram incluídos 176 prontuários. Não foram observadas diferenças estatisticamente significantes em relação ao sexo, idade ou raça dos pacientes, contudo, os resultados mostram que pacientes com desfecho óbito apresentaram piores valores dos parâmetros clínicos e laboratoriais, demandaram mais cuidados de enfermagem e apresentaram contagem de plaquetas menor e INR maior do que os pacientes que tiveram alta; além disso, observou-se que a contagem de plaquetas <100.000 mm3 e o INR>1,5 estão associados à maior frequência do desfecho óbito. Foi analisada a capacidade da contagem de plaquetas e do INR para predizerem o óbito por meio de uma curva ROC que indicaram a contagem de plaquetas como um preditor não adequado e o INR um preditor fraco para o desfecho óbito. Assim, este estudo mostrou que os pacientes diagnosticados com sepse que foram a óbito apresentaram maior comprometimento orgânico e demandaram mais cuidados de enfermagem do que aqueles que tiveram como desfecho a alta hospitalar, além disso, a contagem de plaquetas e o INR indicam um comprometimento do sistema hemostático, sinalizando um quadro fibrinolítico. Tanto a contagem de plaquetas quanto o INR foram associados ao óbito, no entanto, não se mostraram bons preditores para tal. O dimensionamento do trabalho de enfermagem utilizando o NAS, a avaliação dos exames laboratoriais e da gravidade através dos SAPS 3, realizados pelo enfermeiro com conhecimento específico, facilita a elaboração e evolução da SAE. Quanto mais dados, mais acurada a análise, levando a modificações do planejamento da assistência de enfermagem

Sepsis is defined as a systemic inflammatory response to a microorganism, being a major cause of death in intensive care unit (ICU) patients. In sepsis, the coagulation cascade is activated, contributing to the formation of localized venous thromboembolism and disseminated intravascular coagulation, one of the causes of multiple organ dysfunction syndrome. In addition, the consumption of platelets and coagulation proteins may result in serious bleeding. Patients with sepsis admitted to the ICU have, as their main care providers, the nursing staff that may have their activities organized by the Nursing Care Systematization (NCS). NCS provides perspectives regarding care, guides and regulates more precisely nursing care, directing the resolution of patients' problems, as it mobilizes specific professional skills in care, resulting in the quality of care. This study aimed to evaluate the relationship of two components of the hemostatic system (platelet count and International Normalized Ratio - INR) with clinical severity and outcome in patients diagnosed with ICU sepsis. This is a quantitative, exploratory and correlational study in which data were previously collected. The study was developed in a public hospital of high complexity care at the outpatient and inpatient level through the analysis of medical records of patients diagnosed with sepsis admitted to the ICU from January to December 2017. The variables related to socio-demographic, clinical characteristics and length of nursing care were collected from the patients' electronic medical records using a specific form. We included 176 medical records. No statistically significant differences were observed regarding gender, age or race of patients; however, the results show that patients with death outcome had worse clinical and laboratory parameter values, required more nursing care and had lower platelet count and higher INR than patients who were discharged; in addition, platelet counts <100,000 mm3 and INR> 1.5 were associated with a higher frequency of death outcome. We analyzed the ability of platelet count and INR to predict death by means of a ROC curve that indicated platelet count as an inadequate predictor and INR as a weak predictor of death outcome. Thus, this study showed that patients diagnosed with sepsis who died had greater organic impairment and demanded more nursing care than those who were discharged from the hospital. In addition, the platelet counts and INR indicate a compromised hemostatic system, signaling a fibrinolytic picture. Both platelet count and INR were associated with death; however, they were not good predictors for it. The dimensioning of nursing work using the NAS, the evaluation of laboratory tests and severity on SAPS 3, performed by a nurse with specific knowledge, facilitates the elaboration and evolution of the NCS. The more data, the more accurate the analysis, leading to changes in nursing care planning

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El puntaje fisiológico agudo simplificado, SAPS 3 (del inglés Simplified Acute Physiology Score 3) ha sido recientemente desarrollado con muestras de los cinco continentes, pero no ha sido validado en pacientes de las Unidades de Cuidados Intensivos (UCI) en Colombia. En este trabajo se comparó el desempeño del SAPS 3 con el APACHE II en pacientes colombianos de UCI. Métodos: en una población de una cohorte histórica de pacientes críticos admitidos a una UCI de un hospital universitario, entre enero 1º de 2006 a junio 30 de 2011, se midió el desempeño de los modelos de mortalidad. La probabilidad de muerte hospitalaria fue calculada con el APACHE II y el SAPS 3. Para mejorar la exactitud de los modelos fue realizada una adaptación de primer orden usandola regresión logística del puntaje original para el APACHE II, y para el SAPS 3 se hizo el cálculo de la probabilidad de muerte con las fórmulas para Europa oriental, Centro-Suramérica y Australasia. Resultados: el estudio incluye 2523 pacientes. La mortalidad hospitalaria fue 27%. La discriminación fue aceptable para todos los modelos, más baja para el APACHE II que mejora con la adaptación de 0.74 a 0.78. Para todas las formas de SAPS 3 el área bajo la curva ROC fue de 0.78. La calibración, medida con el estadístico de Hosmer-Lemeshow, fue pobre para el APACHE II, APACHE II adaptado,SAPS 3 adaptado para Centro-Suramérica, y Europa oriental, pero fue buena para el SAPS 3 global y el adaptado para Australasia. Conclusión: en una población de pacientes críticos colombianos, la adaptación logra mejorar la discriminación del APACHE II pero no su calibración. La calibración es adecuada sólo para el SAPS 3 global y el adaptado para Australasia. (Acta Med Colomb 2014; 39: 148-158).

The simplified acute physiological score (SAPS 3) has been recently developed with samples from the five continents, but has not been validated in patients in intensive care units (ICU) in Colombia. In this work the performance of SAPS 3 with APACHE II in Colombian ICU patients was compared. Methods: in a population of a historical cohort of critically ill patients admitted to an ICU of a university hospital between January 1°, 2006 to June 30, 2011, the performance of the mortality models was measured. The probability of hospital death was calculated with APACHE II and SAPS 3. To improve the accuracy of the models, a first order adaptation was realized, using the logistic regression of the original score for the APACHE II, and for SAPS 3 the calculation of the probability of death was done with the formulas for Eastern Europe, Central and South America and Australasia. Results: the study included 2523 patients. Hospital mortality was 27%. Discrimination was acceptable for all models, being lower for APACHE II, which improves with adaptation from 0.74 to 0.78. For all forms of SAPS 3, the area under the ROC curve was 0.78. Calibration, measured with the Hosmer-Lemeshow statistic was poor for the APACHE II, adjusted APACHE II, SAPS 3 adapted to Central South America and Eastern Europe, but it was good for the global SAPS 3 and for the one adapted to Australasia. Conclusion: in a population of Colombian critically ill patients, adaptation manages to improve discrimination of APACHE II but not its calibration. Calibration is appropriate only for the global SAPS 3 and the one adapted to Australasia. (Acta Med Colomb 2014; 39: 148-158).

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