Complicaciones y mortalidad en pacientes neurocríticos / Complications and mortality in neurocritic patients

Objetivo: Relacionar las complicaciones y el riesgo de muerte en pacientes neurocríticos admitidos en la unidad de cuidados intensivos (UCI) del Hospital Universitario de Caracas durante un período de 5 meses. Métodos: investigación observacional, prospectiva, descriptiva. La muestra estuvo conformada por 65 pacientes neurocríticos, ≥ 18 años, con patologías médicas o quirúrgicas, ingresados en la UCI. El análisis estadístico incluyó la determinación de frecuencias, promedios, porcentajes y medias para descripción de variables y el T de Student. Resultados: La edad promedio fue 50,98 ± 16,66 años; la población masculinarepresentó el 50,76%. Entre las complicaciones, la mayor incidencia correspondió a las no infecciosas (70,77 %) y los trastornos ácido-básicos de tipo metabólico, la anemia y las alteraciones electrolíticas fueron las más frecuentes; el 29,23% de los pacientes presentaron complicaciones infecciosas, y la neumonía asociada a ventilación mecánica fue la más frecuente (73,91 %). La comorbilidad con mayor incidencia fue hipertensión arterial sistémica (53,84%). El 90.70% requirió ventilación mecánica y el tiempo en VM fue 4.29 ± 6.43 días. La estancia en UCI fue 5.96 ± 7.72 días. El 29,23% presentó un puntaje en la escala APACHE II entre 5-9; el SAPS II presentó mayor incidencia entre los 6-21 y 22-37 puntos con (66,70%); el SOFA al ingreso se reportó < 15 puntos en 98,46% y > 15 en 1,53%. La mortalidad del grupo fue 23,08 % (n=15). Conclusiones: Las complicaciones no infecciosas predominaron sobre las infecciosas las primeras íntimamente relacionadas con la mortalida(AU)

Objective: To relate complications and the risk of death in neurocritical patients admitted to the intensive care unit (ICU) of the University Hospital of Caracas during a period of 5 months. Methods: observational, prospective, descriptive research. The sample was made up of 65 neurocritical patients, ≥ 18 years old, with medical or surgical pathologies, admitted to the ICU.The statistical analysis included the determination of frequencies, averages, percentages and meansfor description of variables and Student's T.Results: The average age was 50.98 ± 16.66 years; the male population represented 50.76%. Among the complications, the highest incidence corresponded to non-infectious complications (70.77%) and metabolic acid-base disorders, anemia and electrolyte alterations were the most frequent; 29.23% of patients presented infectious complications, and pneumonia associated with mechanical ventilation was the most frequent (73.91%). The comorbidity with the highest incidence was systemic arterial hypertension (53.84%), 90.70% required mechanical ventilation and the time on MV was 4.29 ± 6.43 days. The ICU stay was 5.96 ± 7.72 days. 29.23% had a score on the APACHE II scale between 5-9; SAPS II presented the highest incidence between 6-21 and 22-37 points with (66.70%); The SOFA upon admission was reported to be < 15 points in 98.46% and > 15 in 1.53%. The mortality of the group was 23.08% (n=15). Conclusions: Non-infectious complications predominated over infectious complications, the former being closely related to mortalit(AU)

Experiencia en el cuadro clínico, diagnóstico y tratamiento de COVID-19 / Experience in the clinical picture, diagnosis and treatment of COVID-19 / Experiência no quadro clínico, diagnóstico e tratamento da COVID-19

Resumen: Introducción: La infección por SARS-CoV-2 en Wuhan, China, ocasionó una pandemia de tal magnitud que ha provocado la muerte por neumonía a causa de enfermedad infecciosa por coronavirus 19 (COVID-19) de millones de personas. Nos dimos a la tarea de recolectar todas las características de los pacientes que estuvieron hospitalizados por esta enfermedad en nuestra UCI adultos. Material y métodos: Se realizó un estudio de tipo analítico, descriptivo, observacional y retrospectivo en pacientes con diagnóstico de COVID-19 ingresados en la Unidad de Cuidados Intensivos (UCI) del Hospital Ángeles Clínica Londres en la Ciudad de México, evaluados en el periodo del 23 de marzo de 2020 al 10 de mayo de 2020. Se revisaron los expedientes y se tomaron los datos de los mismos, se describieron variables de tipo demográfico, factores de riesgo, signos y síntomas, tratamiento médico y atención respiratoria. Se revisaron escalas de mortalidad SAPS III, APACHE II, SOFA y CALL-score. Se formaron dos grupos con y sin mortalidad realizándose análisis bivariado y multivariado de las variables significativas. El análisis estadístico se efectuó con el programa SPSS 25. Resultados: En el periodo considerado, 25 expedientes cumplieron con los criterios de inclusión, de ellos la demografía y factores de riesgo, 18 (72%) correspondieron a hombres y siete (38%) a mujeres con una mortalidad de 10 (40%). Los factores de riesgo más frecuentes fueron diabetes mellitus (DM) en siete (38%) pacientes, hipertensión arterial (HAS) en seis (24%), obesidad en cuatro (16%), enfermedad pulmonar obstructiva crónica (EPOC) en uno (4%), tabaquismo en 11 (44%) y alcoholismo en siete (28%). Se encontraron diferencias estadísticamente significativas en los grupos sin mortalidad y con mortalidad, 15 y 10 pacientes, respectivamente, observando las siguientes significancias: glucosa 105 mg/dL (percentil [PE 88]) versus 171 mg/dL (PE 125) p = 0.012, urea 33 mg/dL (PE 22) versus 95 mg/dL (PE 57) p = 0.03, BUN 15.3 mg/dL (PE 11) versus 44.2 mg/dL (PE 26.28) p = 0.04, TGO 32 U/L (PE 24.4) versus 58 U/L (PE 43.8) p = 0.010, DHL 239 U/L (PE 198) 454 U/L (PE 260) p = 0.003, triglicéridos 148 mg/dL (PE 120) versus 187.5 mg/dL (PE 165) p = 0.002, CPK 70 U/L (PE 35) versus 81 U/L (PE 78.25) p = 0.003, ferritina 446 mg/L (PE 238) versus 1,030 mg/L (PE 665) p = 0.007. Se realizó un análisis bivariado con regresión logística binaria, con la variable mortalidad dicotómica, no resultando significativa con esta prueba. Conclusiones: Se entiende que ninguna variable es predominantemente importante para explicar la mortalidad y que se recurre a muchos factores que se conjugan para explicar este desenlace, uno de éstos es la severidad misma del problema respiratorio en que se encuentre el paciente.

Abstract: Introduction: The SARS-CoV-2 infection in Wuhan, China caused a pandemic of such magnitude that it has caused the death of millions of people from pneumonia due to infectious disease caused by coronavirus 19 (COVID-19). We took on the task of collecting all the characteristics of the patients who were hospitalized for this disease in our Adult Intensive Care Unit. Material and methods: An analytical, descriptive, observational and retrospective study was carried out in patients with a diagnosis of COVID-19 admitted to the Intensive Care Unit (ICU) of the Hospital Ángeles Clínica Londres in Mexico City, evaluated in the period of March 23 from 2020 to May 10, 2020. The files were reviewed and the data taken from them, demographic variables, risk factors, signs and symptoms, medical treatment and respiratory care were described. SAPS III, APACHE II, SOFA and CALL-score mortality scales were reviewed. Two groups were formed with and without mortality, performing bivariate and multivariate analyzes of the significant variables. Statistical analysis was performed with the SPSS 25 program. Results: In the period considered, 25 files met the inclusion criteria for them: demographics and risk factors were 18 (72%) corresponding to men and seven (38%) to women. With a mortality of 10 (40%). The most frequent risk factors are diabetes mellitus (DM) in seven (38%), arterial hypertension (SAH) six (24%), obesity four (16%), chronic obstructive pulmonary disease (COPD) one (4%), smoking 11 (44%) and alcoholism seven (28%). Statistically significant differences were found in the groups without mortality and with mortality 15 and 10 patients respectively, observing the following significance: glucose 105 mg/dL (percentil [PE] 88) versus 171 mg/dL (PE 125) p = 0.012, urea 33 mg/dL (PE 22) versus 95 mg/dL (PE 57) p = 0.03, BUN 15.3 mg/dL (PE 11) versus 44.2 mg/dL (PE 26.28) p = 0.04, TGO 32 U/L (PE 24.4) versus 58 U/L (PE 43.8) p = 0.010, DHL 239 U/L (PE 198) 454 U/L (PE 260) p = 0.003, triglycerides 148 mg/dL (PE 120) versus 187.5 mg/dL (PE 165) p = 0.002, CPK 70 U/L (PE 35) versus 81 U/L (PE 78.25) p = 0.003, ferritin 446 mg/L (PE 238) versus 1,030 mg/L (PE 665) p = 0.007. A bivariate analysis with binary logistic regression was performed, with the dichotomous mortality variable, not resulting in this significant test. Conclusions: It is understood that no variable is predominantly important to explain mortality and that many factors are involved that are combined to explain this outcome, one of these being the same severity of the respiratory problem in which the patient is.

Resumo: Introdução: A infecção por SARS-CoV-2 em Wuhan China causou uma pandemia de tal magnitude que causou a morte de milhões de pessoas por pneumonia devido a doença infecciosa causada pelo coronavírus 19 (COVID-19). Assumimos a tarefa de coletar todas as características dos pacientes internados por essa doença em nossa unidade de terapia intensiva adulto. Material e métodos: Realizou-se um estudo analítico, descritivo, observacional e retrospectivo em pacientes com diagnóstico de COVID-19 internados na Unidade de Terapia Intensiva (UTI) do Hospital Ángeles Clínica Londres na Cidade do México, validado para o período de 23 de março de 2020 a 10 de maio de 2020. Os prontuários médicos foram revisados e seus dados coletados, as variáveis do tipo demográficas foram descritas, fatores de risco, sinais e sintomas, tratamento médico e cuidados respiratórios. Foram revisadas as escalas de mortalidade SAPS III, APACHE II, SOFA e CALL-score. Dois grupos foram formados com e sem mortalidade, realizando análises bivariadas e multivariadas das variáveis significativas. A análise estatística foi realizada com o programa SPSS 25. Resultados: No período considerado, 25 prontuários atenderam aos critérios de inclusão para os mesmos: dados demográficos e fatores de risco foram 18 (72%) correspondentes a homens e 7 (38%) a mulheres. Com mortalidade de 10 (40%). Os fatores de risco mais frequentes são diabetes mellitus (DM) em 7 (38%), hipertensão arterial (HAS) 6 (24%), obesidade 4 (16%), doença pulmonar obstrutiva crônica (DPOC) 1 (4%), tabagismo 11 (44%) e alcoolismo 7 (28%). Encontrou-se diferenças estatisticamente significativas nos grupos sem mortalidade e com mortalidade de 15 e 10 pacientes respectivamente, observando a seguinte significância: glicose 105 mg/dL (percentil [PE] 88) versus 171 mg/dL (PE 125) p = 0.012, uréia 33 mg/L (PE 22) versus 95 mg/L (PE 57) p = 0.03, BUN 15.3 mg/L (PE 11) versus 44.2 mg/L (PE 26.28) p = 0.04, TGO 32 U/L (PE 24.4) versus 58 U/L (PE 43.8) p = 0.010, DHL 239 U/L (PE 198) 454 (PE 260) p = 0.003, triglicerídeos 148 mg/dL (PE 120) versus 187.5 mg/dL (PE 165) p = 0.002, CPK 70 U/L (PE 35) versus 81 U/L (PE 78.25) p = 0.003, ferritina 446 mg/L (PE 238) versus 1030 mg/L (PE 665) p = 0.007. Realizou-se análise bivariada com regressão logística binária, com a variável mortalidade dicotômica, não resultando em teste significativo. Conclusões: Entende-se que nenhuma variável é predominantemente importante para explicar a mortalidade e que usamos muitos fatores que se conjugam para explicar esse desfecho, sendo um deles a mesma gravidade do problema respiratório em que o paciente se encontra.

Avaliação da mortalidade de uma UTI de Sergipe segundo escore fisiológico agudo simplificado 3 (SAPS 3) / Assessment of mortality in a intensive care unit in Sergipe, according simplified acute physiology score 3 (SAPS 3) / Evaluación de la mortalidade en una Unidad de Cuidados Intensivos en Sergipe, según la puntuación fisiológica aguda simplificada (SAPS 3)

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)

Relação entre parâmetros hemostáticos, evolução clínica e desfecho de pacientes diagnosticados com sepse / Relationship between hemostatic parameters, clinical evolution and outcome of patients diagnosed with sepsis

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

Study of spectrum of sepsis and prediction of its outcome in patients admitted to ICU using different scoring systems

Background: Although sepsis is one of the leading causes of mortality in hospitalized patients, information regarding early predictive factors for mortality and morbidity is limited. The aim was to identify reliable and early prognostic variables predicting mortality in patients admitted to ICU with sepsis.Methods: Patients fulfilling the Surviving Sepsis Campaign 2012 guidelines criteria for sepsis within the ICU were included over two years. Apart from baseline haematological, biochemical and metabolic parameters, APACHE II, SAPS II and SOFA scores were calculated on day 1 of admission. Patients were followed till death or discharge from the ICU. Chi-square test, student t-test, receiver operating curve analyses were done.Results: 100 patients were enrolled during the study period. The overall mortality was 35% (68.6% in males and 31.4% in females). Mortality was 88.6% and 11.4% in patients with septic shock and severe sepsis and none in the sepsis group, respectively. On multivariate analysis, significant predictors of mortality were APACHE II score greater than 27, SAPS II score greater than 43 and SOFA score greater than 11 on day the of admission. On ROC analysis APACHE II had the highest sensitivity (92.3%) and SAPS II had the highest specificity (82.9%).Conclusions: All three scores performed well in predicting the mortality. Overall, APACHE II had highest sensitivity, hence was the best predictor of mortality in critically ill patients. SAPS II had the highest specificity, hence it predicted improvement better than death. SOFA had intermediate sensitivity and specificity.

Severity of disease scoring systems and mortality after non-cardiac surgery / Sistemas de classificação da gravidade da doença e mortalidade após cirurgia não cardíaca

Abstract Background: Mortality after surgery is frequent and severity of disease scoring systems are used for prediction. Our aim was to evaluate predictors for mortality after non-cardiac surgery. Methods: Adult patients admitted at our surgical intensive care unit between January 2006 and July 2013 was included. Univariate analysis was carried using Mann-Whitney, Chi-square or Fisher's exact test. Logistic regression was performed to assess independent factors with calculation of odds ratio and 95% confidence interval (95% CI). Results: 4398 patients were included. Mortality was 1.4% in surgical intensive care unit and 7.4% during hospital stay. Independent predictors of mortality in surgical intensive care unit were APACHE II (OR = 1.24); emergent surgery (OR = 4.10), serum sodium (OR = 1.06) and FiO2 at admission (OR = 14.31). Serum bicarbonate at admission (OR = 0.89) was considered a protective factor. Independent predictors of hospital mortality were age (OR = 1.02), APACHE II (OR = 1.09), emergency surgery (OR = 1.82), high-risk surgery (OR = 1.61), FiO2 at admission (OR = 1.02), postoperative acute renal failure (OR = 1.96), heart rate (OR = 1.01) and serum sodium (OR = 1.04). Dying patients had higher scores in severity of disease scoring systems and longer surgical intensive care unit stay. Conclusion: Some factors influenced both surgical intensive care unit and hospital mortality.

Resumo Justificativa: A mortalidade após cirurgia é frequente e os sistemas de classificação da gravidade da doença são usados para a previsão. Nosso objetivo foi avaliar os preditivos de mortalidade após cirurgia não cardíaca. Métodos: Os pacientes adultos admitidos em nossa unidade de terapia intensiva cirúrgica entre janeiro de 2006 e julho de 2013 foram incluídos. Análise univariada foi feita com o teste de Mann-Whitney, qui-quadrado ou exato de Fisher. Regressão logística foi feita para avaliar fatores independentes com cálculo de razão de chances (odds ratio - OR) e intervalo de confiança de 95% (IC 95%). Resultados: No total, 4.398 pacientes foram incluídos. A mortalidade foi de 1,4% na unidade de terapia intensiva cirúrgica e de 7,4% durante a internação hospitalar. Os preditivos independentes de mortalidade na unidade de terapia intensiva cirúrgica foram APACHE II (OR = 1,24); cirurgia de emergência (OR = 4,10), sódio sérico (OR = 1,06) e FiO2 na admissão (OR = 14,31). Bicarbonato sérico na admissão (OR = 0,89) foi considerado um fator protetor. Os preditivos independentes de mortalidade hospitalar foram idade (OR = 1,02), APACHE II (OR = 1,09), cirurgia de emergência (OR = 1,82), cirurgia de alto risco (OR = 1,61), FiO2 na admissão (OR = 1,02), insuficiência renal aguda no pós-operatório (OR = 1,96), frequência cardíaca (OR = 1,01) e sódio sérico (OR = 1,04). Os pacientes moribundos apresentaram escores mais altos de gravidade da doença nos sistemas de classificação e mais tempo de permanência em unidade de terapia intensiva cirúrgica. Conclusão: Alguns fatores tiveram influencia sobre a mortalidade tanto hospitalar quanto na unidade de terapia intensiva cirúrgica.

Comparison of SAPS 3-PIRO score with other four scoring systems for assessing sepsis / 中华急诊医学杂志

Objective To investigate the feasibility of SAPS 3-PIRO score for prediction of outcomes in severe sepsis patients in the intensive care units (ICU).The optimal scoring system was also evaluated in this study.Methods Data of 677 patients with sepsis,treated in ICU of the emergency department at the Beijing Chaoyang Hospital between January 2008 and December 2011,were analyzed.The inclusion criteria were:age ≥18 years and the diagnostic criteria of severe sepsis and organ damage recommended by the International Sepsis Definitions Conference in Washington DC,USA in 2001,as well as the criteria developed by the Conference as a reference.The patients,who did not meet the criteria were excluded from the study.Age,gender,underlying disease,main infection site,and duration of ventilator support of all cases were recorded.Vital signs,hematological findings (gases,biochemistry,coagulation) and causative pathogens and organ damage on day-1 in the ICU were also recorded.According to the data of the most unfavorable findings in the ICU on day-1,scores got from APACHE Ⅱ,SOFA (sequential organ failure assessment),SAPS Ⅲ(simplified acute physiological score Ⅲ),SAPS 3-PIRO (predisposition,infection,response,organ failure/dysfunction) and MEDS (mortality in emergency department sepsis score) scoring systems were calculated.All patients were followed up for 28 days.The outcome of survival and death at 28 days were the endpoints of this study.SPSS V13.0 (SPSS,Chicago,IL,USA) was used to analyze data.Continuous variables with normal distribution were expressed as mean ± standard deviation.The independentsample t test was applied when normality (and homogeneity of variance) assumptions were fulfilled otherwise the t' test would be used.The distribution of categorical variables in two groups was tested using the x2 test.Binary logistic regression models were also used according to the survival status.The values of scoring system in predicting outcomes and the determination of dividing value in predicting death were analyzed using receiver operating characteristic (ROC) curves.The area under the receiver operating characteristic (AUROC) curves was compared using Z test.P values less than 0.05 were considered statistically significant.Results The total 28-day mortality was 41.9％.APACHE Ⅱ,SOFA,SAPS Ⅲ,SAPS 3-PIRO and MEDS scoring systems were used to find the independent predictive factors of death within 28 hours in patients with severe sepsis.By using ROC curve and AUROC curve to compare the validity of these scoring systems,SAPS 3-PIRO score had comparable predictive capability in comparison with APACHE Ⅱ,SOFA and SAPS Ⅲ scores,and MEDS was superior to SAPS 3-PIRO,APACHE Ⅱ,SOFA and SAPS Ⅲ score.Conclusions For patients with severe sepsis admitted in ICU,MEDS was superior to SAPS 3-PIRO,APACHE Ⅱ,SOFA and SAPS Ⅲ score in predicting prognosis.MEDS has favorable capability in predicting death within 28 days.MEDS ≥ 11 was the sign of increased mortality.SAPS 3-PIRO score has comparable predictive capability in comparison with APACHE Ⅱ,SOFA and SAPS Ⅲ score and it may be suggested for clinical practice.

Association study between the MDR1 gene and clinical characteristics in schizophrenia

Objective: Schizophrenia is a complex psychiatric disorder, characterized by disturbed patterns of thought and affecting 0.3-2.0% of the world population. Previously, the multidrug resistance 1 (MDR1) gene has been associated with schizophrenia in treatment response studies in psychotic patients. The aim of this study was to determine the association between MDR1 gene polymorphisms and clinical characteristics in patients with schizophrenia. Methods: Positive and negative symptoms of schizophrenia were assessed with the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS) in 158 Mexican patients with schizophrenia. Analyses of MDR1 gene polymorphisms were performed using TaqMan technology. A multivariate ANOVA was performed with MDR1 polymorphisms and gender as independent variables. Results: Males with the G/G genotype of MDR1 rs2032582 presented significantly higher levels of delusions (p = 0.02). When comparing female vs. male groups, the difference was statistically significant (p = 0.0003). Analyses of the MDR1 gene rs1045642 variant showed no significant differences. Conclusion: Our findings suggest that male carriers of the G allele of variant rs2032582 exhibit greater severity of delusions; however, these results should be taken as preliminary, and replication studies in other populations of different ethnic origins are required to confirm these findings. .

Desempeño del APACHE II y el SAPS 3 Adaptación regional en una población de pacientes críticos de Colombia / Performance of APACHE II and SAPS 3 Regional adaptation in a population of critically Ill patients in Colombia

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).

Prediction of Outcome in ICU Patients Using SAPS II Scoring-A Prospective Study.

Introduction: Since 1981, several severity scores have been proposed for ICU patients. The first ones were acute physiology and chronic health evaluation(APACHE, APACHEII),Simplified acute physiology score (SAPS); later, mortality probability model(MPM) and APACHE III were introduced. The SAPS II scoring system, have been used as a method for converting the score to a probability of hospital mortality.The present prospective study is designed to predict the ICU outcome in medical ICU patients. Objective of the Study: To predict the mortality and morbidity of the patients admitted in ICU for various emergencies using SAPS II scoring system and correlate it with the outcome of the patient on discharge. Materials and Methods: The study prospective type, data was obtained from the patients admitted to ICU ,SAPS II scoring was given and were followed up till they got discharged to assess the outcome .Results:45 patients were studied the total mortality was 26.6%. The SAPS II Scores of the patients and the number of deaths in the different groups are given in table below. The chi-square value was 23.04, df= 6with a p + 0.0007 and this study is well within the p value of 0.05, hence it is significant which means the higher the score the more is the risk of morbidity and mortality, when score is >50 there is increased risk of morbidity and mortality, when score is >50 there is increased risk of mortality. Conclusion:The present study imposes on the following conclusions -SAPS II scoring is useful in predicting the ICU outcome of patients admitted in the ICU even when the primary diagnosis is not specified.

Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?

OBJECTIVES: This study compared the accuracy of the Simplified Acute Physiology Score 3 with that of Acute Physiology and Chronic Health Evaluation II at predicting hospital mortality in patients from a transplant intensive care unit. METHOD: A total of 501 patients were enrolled in the study (152 liver transplants, 271 kidney transplants, 54 lung transplants, 24 kidney-pancreas transplants) between May 2006 and January 2007. The Simplified Acute Physiology Score 3 was calculated using the global equation (customized for South America) and the Acute Physiology and Chronic Health Evaluation II score; the scores were calculated within 24 hours of admission. A receiver-operating characteristic curve was generated, and the area under the receiver-operating characteristic curve was calculated to identify the patients at the greatest risk of death according to Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores. The Hosmer-Lemeshow goodness-of-fit test was used for statistically significant results and indicated a difference in performance over deciles. The standardized mortality ratio was used to estimate the overall model performance. RESULTS: The ability of both scores to predict hospital mortality was poor in the liver and renal transplant groups and average in the lung transplant group (area under the receiver-operating characteristic curve = 0.696 for Simplified Acute Physiology Score 3 and 0.670 for Acute Physiology and Chronic Health Evaluation II). The calibration of both scores was poor, even after customizing the Simplified Acute Physiology Score 3 score for South America. CONCLUSIONS: The low predictive accuracy of the Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores does not warrant the use of these scores in critically ill transplant patients.

Performance Assessment of the SOFA, APACHE II Scoring System, and SAPS II in Intensive Care Unit Organophosphate Poisoned Patients

This study assessed the ability of the Sequential Organ Failure Assessment (SOFA) and Acute Physiology, Chronic Health Evaluation (APACHE) II scoring systems, as well as the Simplified Acute Physiology Score (SAPS) II method to predict group mortality in intensive care unit (ICU) patients who were poisoned with organophosphate. The medical records of 149 organophosphate poisoned patients admitted to the ICU from September 2006 to December 2012 were retrospectively examined. The SOFA, APACHE II, and SAPS II were calculated based on initial laboratory data in the Emergency Department, and during the first 24 hr of ICU admission. The probability of death was calculated for each patient based on the SOFA score, APACHE II score, and SAPS II equations. The ability to predict group mortality by the SOFA score, APACHE II score, and SAPS II method was assessed using two by two decision matrices and receiver operating characteristic (ROC) curve analysis. A total of 131 patients (mean age, 61 yr) were enrolled. The sensitivities, specificities, and accuracies were 86.2%, 82.4%, and 83.2% for the SOFA score, respectively; 65.5%, 68.6%, and 67.9% for the APACHE II scoring system, respectively; and 86.2%, 77.5%, and 79.4% for the SAPS II, respectively. The areas under the curve in the ROC curve analysis for the SOFA score, APACHE II scoring system, and SAPS II were 0.896, 0.716, and 0.852, respectively. In conclusion, the SOFA, APACHE II, and SAPS II have different capability to discriminate and estimate early in-hospital mortality of organophosphate poisoned patients. The SOFA score is more useful in predicting mortality, and easier and simpler than the APACHE II and SAPS II.

Desempenho do escore SAPS II em uma unidade de terapia intensiva / The SAPS II performance in an intensive care unit

Introdução: O Simplified Acute Physiology Score (SAPS) é um modelo desenvolvido na França por Le Gall et al. em 1983, modificado para SAPS II em 1993. É composto por 12 variáveis fisiológicas, idade, tipo de admissão e presença de doença crônica. Este estudo tem como objetivo analisar a predição de mortalidade do SAPS II nos pacientes internados na UTI do Hospital São José, Criciúma, SC. Métodos: Estudo prospectivo de coorte realizado entre julho de 2007 a fevereiro de 2008. Foram inclusos pacientes de ambos os sexos, com idade maior que 18 anos e tempo de internação na UTI superior a 24 horas. Resultados: 144 (59%) pacientes foram do sexo masculino e 97 (41%) do sexo feminino. A idade média foi de 55 ± 17 anos, 85 (35%) pacientes tiveram sua admissão devido a pós-operatório de cirurgias eletivas, 33 (14%) devido a pós-operatório de cirurgias de urgência e 123 (51%) devido à intercorrências clínicas. A média de pontos do SAPS II foi de 28,7 ± 14,3. Conclusão: O modelo estudado não foi adequado para o uso nesta amostra de pacientes, sendo que o escore SAPS II apresentou uma discriminação regular e subestimou a letalidade hospitalar. Além disso, o estudo foi realizado em uma única UTI, o que mostra somente um determinado perfil de pacientes.

Introduction: The Simplified Acute Physiology Score (SAPS) is a model developed in France By Le Gall et al. in 1983, modified for SAPS II in 1993. It consists of 12 physiological variables, age, type of admission and presence of chronic disease. This study aims to analyze the prediction of mortality of SAPS II in patients admitted to the ICU of São José Hospital, Criciúma, SC. Methods: Prospective cohort study conducted from July 2007 to February 2008. We included patients of both sexes, older than 18years and duration of ICU stay longer than 24 hours. Results: 144 (59%) patients were male and 97 (41%) were female. The average age was 55 ± 17 years, 85 (35%) patients had their admission due to postoperative elective surgery, 33 (14%) due to postoperative emergency surgery and 123 (51%) due to clinical complications. The average score on the SAPS II was 28,7 ± 14,3. Conclusion: ICU scoring systems has become an important tool to measure the performance of the ICU and may be used for resource allocation, selection of patients, quality assurance. The model studied was not suitable for use in this sample of patients. The SAPS II score had a regular discrimination and underestimated the mortality rate. In addition, the study was conducted in a single ICU, which shows only a certain profile of patients.

Validation of the Simplified Acute Physiology Score 3 Scoring System in a Korean Intensive Care Unit

PURPOSE: The Simplified Acute Physiology Score (SAPS) 3 was recently proposed to reflect contemporary changes in intensive care practices. SAPS 3 features customized equations for the prediction of mortality in different geographic regions. However, the usefulness of SAPS 3 and its customized equation (Australasia SAPS 3) have never been externally validated in Korea. This study was designed to validate SAPS 3 and Australasia SAPS 3 for mortality prediction in Korea. MATERIALS AND METHODS: A retrospective analysis of the prospective intensive care unit (ICU) registry was conducted in the medical ICU of Samsung Medical Center. Calibration and discrimination were determined by the Hosmer-Lemeshow test and area under the receiver operating characteristic (aROC) curve from 633 patients. RESULTS: The mortalities (%) predicted by SAPS 3, Australasia SAPS 3, and SAPS II were 42 +/- 28, 39 +/- 27 and 37 +/- 31, respectively. The calibration of SAPS II was poor (p = 0.003). SAPS 3 and Australasia SAPS 3 were appropriate (p > 0.05). The discriminative power of all models yielded aROC values less than 0.8. CONCLUSION: In Korea, mortality rates predicted using general SAPS 3 and Australasia SAPS 3 exhibited good calibration and modest discrimination. However, Australasia SAPS 3 did not improve the mortality prediction. To better predict mortality in Korean ICUs, a new equation may be needed specifically for Korea.

Relationship between the content of heat shock protein 70 and the level of sepsis patients / 中华急诊医学杂志

Objective To investigate the relationships between the level of heat shock protein (HSPs) 70 and severity of sepsis in order to find its effects on the status of sepsis and the prognosis of the patients. Methods In total, 120 patients diagnosed to be suffering from sepsis from the emergency department were selected as studying subjects. According to SAPS Ⅱ score, all of these patients were divided into mild, moderate and severe groups (n =40 in each group) , and at the same time, 40 healthy volunteers were studied as controls. The levels of intracellular HSPs70 in peripheral blood neutrophil cells in the mild, moderate and severe groups were determined by using flow cytometry, while serum levels of procalcitonin (PCT) and C-reactive protein ( CRP) were measured as well. Results ① The levels of heat shock proteins HSPs70 in neutrophil cells and PCT in patients with sepsis escalated gradually with the increase in SAPS Ⅱ score, and there were significant different among the mild, moderate, and severe sepsis groups(P<0.05). ② In all septic patients, the death happened only in the severe group. Compared other markers in the survivals , the level of heat shock protein HSPs70 was significantly higher in fatal patients. ③ In curve plot analysis in the patients with sepsis done by the curve of receiver operating characteristic (ROC) , the area of HSPs70 in neutrophil cells under the curve was significantly larger as compared with that of PCT and CRP. Conclusions Heat shock protein HSPs70 has a certain clinical value in determining the severity of disease and prognosis of patients suffering from sepsis.

The Value of Procalcitonin and the SAPS II and APACHE III Scores in the Differentiation of Infectious and Non-infectious Fever in the ICU: A Prospective, Cohort Study

Early and accurate differentiation between infectious and non-infectious fever is vitally important in the intensive care unit (ICU). In the present study, patients admitted to the medical ICU were screened daily from August 2008 to February 2009. Within 24 hr after the development of fever (>38.3degrees C), serum was collected for the measurement of the procalcitonin (PCT) and high mobility group B 1 levels. Simplified Acute Physiology Score (SAPS) II and Acute Physiology And Chronic Health Evaluation (APACHE) III scores were also analyzed. Sixty-three patients developed fever among 448 consecutive patients (14.1%). Fever was caused by either infectious (84.1%) or non-infectious processes (15.9%). Patients with fever due to infectious causes showed higher values of serum PCT (7.8+/-10.2 vs 0.5+/-0.2 ng/mL, P=0.026), SAPS II (12.0+/-3.8 vs 7.6+/-2.7, P=0.006), and APACHE III (48+/-20 vs 28.7+/-13.3, P=0.039) than those with non-infectious fever. In receiver operating characteristic curve analysis, the area under the curve was 0.726 (95% CI; 0.587-0.865) for PCT, 0.759 (95% CI; 0.597-0.922) for SAPS II, and 0.715 (95% CI; 0.550-0.880) for APACHE III. Serum PCT, SAPS II, and APACHE III are useful in the differentiation between infectious and non-infectious fever in the ICU.

The Clinical Efficacy of GOCA Scoring System in Patients with Acute Respiratory Distress Syndrome

To explore the following hypotheses: 1) Gas exchange, Organ failure, Cause, Associated disease (GOCA) score, which reflects both general health and the severity of lung injury, would be a better mortality predictor of acute respiratory distress syndrome (ARDS) than acute physiology and chronic health evaluation (APACHE II) or simplified acute physiology score (SAPS II), which are not specific to lung injury, and lung injury score (LIS) that focuses on the lung injury; 2) the performance of APACHE II and SAPS II will be improved when reinforced by LIS, we retrospectively analyzed ARDS patients (N=158) admitted to a medical intensive care unit for five years. The overall mortality of the ARDS patients was 53.2%. Calibrations for all models were good. The area under the curve of (AUC) of LIS (0.622) was significantly less than those of APACHE II (0.743) and SAPS II (0.753). The AUC of GOCA (0.703) was not better than those of APACHE II and SAPS II. The AUCs of APACHE II and SAPS II tended to further increase when reinforced by LIS. In conclusion, GOCA was not superior to APACHE II or SAPS II. The performance of the APACHE II or SAPS II tended to improve when combining a general scoring system with a scoring system that focused on the severity of lung injury.

Factors of Cardiopulmonary Resuscitation Outcome for In-hospital Adult Patients / 대한구급학회지

BACKGROUND: The purpose of this study was to evaluate the factors of cardiopulmonary resuscitation (CPR) outcome for in-hospital adult patients, acquiring data with standardized reporting guideline of in-hospital cardiopulmonary resuscitation in Korea. METHODS: All adult cardiac arrest patients from July 2004 to December 2006 in this general hospital were included. Their clinical spectrums were reviewed retrospectively using Utstein-style based template. RESULTS: For the study time period, one hundred and forty-two patients underwent cardiac arrest in this hospital. 136 patients were performed CPR. Return of spontaneous circulation (ROSC) occurred in 42 cases, and 15 patients were survived to hospital discharge. A shorter CPR time and a lower Simplified Acute Physiology Score II (SAPS II) were significant for survivor to hospital discharge (p<0.01). Sex, age, and location in cardiac arrest were not attributed to survival to hospital discharge. CONCLUSIONS: In-hospital CPR patients, the high rate of ROSC and survival to hospital discharge were associated to the cause of arrest, shorter time of CPR, and lesser severity of disease (SAPS II). This result can be a great implication of survivor from CPR in-hospital adult patients in Korea. Further evaluation with consistent data acquisition of CPR using Utstein-style would contribute to improve CPR practice and outcome.

Evolução da gravidade de pacientes adultos internados em uma Unidade de Terapia Intensiva / Evolution of the severity of adult patients admitted to an Intensive Care Unit

Trata-se de um estudo que teve por objetivos caracterizar a evolução da gravidade dos pacientes internados em uma Unidade de Terapia Intensiva (UTI), segundo o Simplified Acute Physiological Score (SAPS II) e o Therapeutic Intervention Scoring System-28 (TISS-28), e verificar a relação desses escores com a variável idade, tempo de permanência e condição de saída da unidade. Compuseram a amostra, 61 pacientes adultos, admitidos consecutivamente na UTI de um hospital geral do Vale do Paraíba, São Paulo, de 16 de março a 16 de maio de 2002. Diariamente, da admissão à alta da UTI, foram aplicados, por um único avaliador, os índices SAPS II e TISS-28 em cada paciente, tendo por base as informações do prontuário. Os resultados mostraram uma maioria de pacientes do sexo masculino, (65,57%), faixa etária predominante de 41 a 60 anos (39,34%), procedentes, em maior parte, do Centro Cirúrgico (45,90%), após cirurgia de urgência (45,90%). O tempo de permanência médio foi de 8,9 dias e a maioria dos pacientes (67,21%) recebeu alta para a unidade de internação. Observou-se uma mortalidade de 24,59%. As pontuações médias do TISS-28 e SAPS II dos pacientes durante a internação foi de, respectivamente, 19 e 27 pontos, com risco de mortalidade (RM) de 14,0%. Quanto à evolução diária da gravidade, foram observadas médias crescentes do TISS-28, SAPS II e RM, do primeiro ao trigésimo terceiro dia de internação na UTI, em contraposição a um número decrescente de pacientes. Verificou-se relação entre a pontuação média do TISS-28 e o tempo de permanência na UTI, assim como entre a pontuação média do SAPS II e a idade. Pacientes que sobreviveram apresentaram escores médios de TISS-28, SAPS II e respectivo RM significativamente menores do que os pacientes não sobreviventes. A utilização dos índices SAPS II e TISS-28 mostrou-se útil para a medida da evolução da gravidade e da carga de trabalho de enfermagem na UTI, devendo ser ) empregados como índices complementares.

This is a study that its objectives was to characterize an Intensive Care Unit (ICU) patients' gravity evolution, according to the Simplified Acute Physiological Score (SAPS II) and the Therapeutic Intervention Scoring System-28 (TISS-28), and to check the relation of this two scores with variables as: age, permanence period and discharge condition of ICU. That was part of the sample, 61 adult patients, admitted consecutively at a general hospital ICU of Vale do Paraíba, São Paulo state, from March, 16 to May, 16, 2002. Daily, from ICU admission to discharge, it was applicable, by an only evaluator, SAPS II e TISS-28 scores in each patient, based on the patient informations papers. Results showed most of male patients (65,6%), predominant age was from 41 to 60 years (39,3%), coming, mostly, from Operating Center (45,9%), after urgency surgery. Median permanence period was 8,9 days and most of patients (67,2%) went to hospital ward. It was observed 24,6% mortality rate. TISS-28 and SAPS II median scores during the ICU permanence period was, respectively, 19 and 27 points, with a Mortality Risk (MR) of 14,0%. About daily gravity evolution, it was observed increasing medians of TISS-28, SAPS II and MR, from first to thirty-third ICU day permanence, in opposition to a decreasing number of patients. It was verified a relation between median TISS-28 score and ICU permanence period, as well as between SAPS II median score and age. Survivors had TISS-28, SAPS II median scores and respective MR meaningfully smaller than non-survivors. SAPS II and TISS-28 scores uses has shown useful to measure gravity evolution and nursing working load at ICU, so they must be used as complementary scores.

PREDICTION OF PROGNOSIS IN CRITICALLY ILL PATIENTS:COMPARISON OF INTRAMUCOSAL pH ADN NEW SIMPLIFIED SEVERITY SCORE(SAPSⅡ) / 解放军医学杂志

In 87 ICU patients intramucosal pH (pHi) was measured, and the new simplified acute physiology score (SAPSⅡ) was calculated within the first 24h ICU admission. Eleven(12 6%) patients died in the ICU.The nonsurvivors had a relatively lower pHi(7 03?0 27) and a higher SAPSⅡ(45?11 77),while the svrvivors had a higher pHi (7 42?0 13) and a lower SAPSⅡ(19 58?10 32).The difference was statistically significant( P