Mortality rate in patients admitted to the ICU based on LODS, APACHE IV, TRIOS, SAPS II
The exact classification of diseases and correct prediction of patient outputs could help in optimal uses of ICU beds by reducing unnecessary monitoring. Valid index use to assess ICU patients seems essential to adequately manage the limited services. This study aimed to estimate the mortality rate in patients admitted to ICU based on APACHE IV, LODS, TRIOS, SAPS II scoring systems. This was a cross-sectional study performed on 53 patients admitted to the ICU of Alavi hospital in Ardabil. Data were collected using a checklist including clinical and demographic data of patients. The prediction of mortality was based on scores obtained from each of four indices SAPS, LODS, TRIOS, and APACHE IV tools. Data were analyzed by SPSS v.23 and the p-value <0.05 was considered significant. 56.6% of patients were male and the rest were female. The mean age of the patients was 71.8 years (20-97). Of all patients, 56.6% died during study time. Results of mortality prediction by four indices showed that the APACHE IV with 33.5% and LODS with 27.8% had the highest and lowest rate, respectively. The relation between mortality prediction rate by APACHE IV and TRIOS with uses ventilator and SO2 amount were significant. According to the roc curve, the mortality prediction rate with APACHE IV with 76% was more than TRIOS with 57%. Results showed that among all four indices, the best and efficient system in the prediction of mortality rate in patients was APACHE IV, which had good calibration in comparison with other indices.
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