Füsun EROĞLU, Ülkü ASLAN, Lütfi YAVUZ, Berit CEYLAN, Erol EROĞLU, NURETTİN HEYBELİ

Yoğun bakım ünitesinde mortalite üzerine SAPS II ve MPM II skorlama sistemlerinin etkinliklerinin karşılaştırılması

Amaç: Yoğun bakım ünitesi (YBÜ) hastalarında mortalite oranı öngörüsünün belirlenmesinde Simplified Acute Physiology Score (SAPS) II ile Mortality Probability Model (MPM) II0 ve MPM II24 skorlama sistemlerinin etkinliğini araştırmayı amaçladık. Hastalar ve Yöntemler: Üniversite hastanemiz YBÜ'süne kabul edilen ardışık 100 hastanın verileri geriye dönük olarak incelendi, 92 hasta çalışmaya alındı. Hastaların SAPS II ve MPM başlangıç verilerinin değerlendirilmesi ve mortalite öngörü oranlarının hesaplanması yardımcı yazılım ile yapıldı. Hastaların YBÜ'ye geldiği yer, YBÜ ve hastanede kalış süresi ve mekanik ventilasyon süreleri hesaplandı. Bulgular: Yoğun bakım ünitesine en çok hasta, hastanemiz acil servisinden (%53) kabul edilmişti. Yirmi yedi hasta başka bir servise devir, 15 hasta ise taburcu edildi. Ölen hastaların sayısı 50, mortalite oranı ise %54 olarak saptandı. Yoğun bakım ünitesinde kalış ve mekanik ventilasyon süreleri ölen hastalarda istatistiksel olarak anlamlı bulundu (sırasıyla p=0.007, p=

Comparison of the efficacy of SAPS II and MPM II scoring systems in ıntensive care unit mortality

Objectives: We aimed to investigate the predicting performances of Simplified Acute Physiology Score (SAPS) II and Mortality Probability Model (MPM) II0 and MPM II24 on determining the mortality rates of intensive care unit (ICU) patients. Patients and Methods: Consecutive 100 patients admitted to the ICU were investigated retrospectively, and 92 of them were included in the study. Initial SAPS and MPM analysis and calculations for mortality prediction percentages were performed with auxiliary software package. Transfer data, total ICU and hospital stay and duration of mechanical ventilation were calculated. Results: Most of the patients (53%) were transferred to the ICU from the emergency department. Twenty two patients were transferred to another department and 15 patients were discharged. The number of patients died were 50, the mortality rate was determined as 54%. The ICU stay and duration of mechanical ventilation of patients who died were found as statistically significant (p=0.007, p=<0.0001, respectively). Conclusion: Although SAPS II, MPM II0 and MPM II24 analysis are related to mortality, they have no effect on predicting the mortality independent from logistic regression analysis. The predicted mortality rates were found related with those determined by logistic regression analysis. Duration of mechanical ventilation and ICU stay and mechanical ventilation duration above 24 hours affect the predicted mortality, independently.

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