Abstract

Acute renal failure (ARF) remains highly prevalent with a high rate of morbidity and mortality. of this study was to compare use of the APACHE II scoring prognosis with that of the ATN-ISS to determine whether the APACHE II could be used for patients with ARF outside the ICU. For this purpose, 205 patients with ARF were accompanied in a prospective cohort. Demographic data, preexisting conditions, organ failure and characteristics of ARF were analyzed. The prognostic scores were performed with the assessment of a nephrologist. The mean age was 52 +/- 18 years, 50% were male, 69% were white, 45% were treated in ICU and 55% in other units. Mortality in the ICU group was 85% and in the non-ICU group 18%. Factors that correlated with higher mortality were more prevalent in the ICU group: age, male, hospitalization with ARF, organ failure, sepsis, septic IRA, oliguria and need of dialysis. Overall, the prognostic markers were the same for both the ICU and non-ICU groups. The discrimination with the APACHE II was similar in both, ICU and non-ICU groups and calibration was better in the non-ICU group. The ATN-ISS achieved good discrimination in both the ICU and non-ICU groups, but, regarding calibration, there was a discreet over estimating of mortality in the non-ICU group. The ATN-ISS showed a greater capacity for discrimination than the APACHE II in both the ICU and non-ICU groups. It was concluded that the APACHE II and ATN-ISS scores could be used for stratification of risk in patients with ARF treated outside of the ICU in Brazil.

Highlights

  • Acute renal failure (ARF) remains highly prevalent with a high rate of morbidity and mortality

  • Factors that correlated with higher mortality were more prevalent in the intensive care unit (ICU) group: age, male, hospitalization with ARF, organ failure, sepsis, septic insuficiência renal aguda (IRA), oliguria and need of dialysis

  • The discrimination with the APACHE II was similar in both, ICU and non-ICU groups and calibration was better in the non-ICU group

Read more

Summary

Análise estatística

Os dados foram expressos como média, desvio padrão, percentagem ou número absoluto. Para a análise estatística dos resultados foram aplicados os seguintes testes: Análise univariada: 1 - Teste Qui quadrado: para análise de tabelas de contingência. 2 - Teste exato de Fisher: quando não foi possível a utilização do teste Qui quadrado pelo tamanho da amostra. 3 - Teste T de Student: para a comparação de duas amostras não pareadas de variáveis quantitativas contínuas. Para a análise estatística dos resultados foram aplicados os seguintes testes: Análise univariada: 1 - Teste Qui quadrado: para análise de tabelas de contingência. 2 - Teste exato de Fisher: quando não foi possível a utilização do teste Qui quadrado pelo tamanho da amostra. Análise dos escores: 1- Análise de discriminação: a capacidade discriminatória dos escores em distinguir sobreviventes de não sobreviventes, foi avaliada pela curva receiver operator characteristic (ROC) com sua respectiva área sob a curva (AUC). A técnica de discriminação nos propicia a seguinte análise: se todos os possíveis pares de pacientes em que um sobreviveu e outro morreu forem identificados, a área sob a curva (AUC) pode ser Tabela 1 - Análise univariada das características gerais, média dos escores e mortalidade do grupo UTI vs grupo não-UTI

APACHE II
Recuperação de função renal
Análise dos escores
Introduction
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call