CONTEXT: Various scoring systems have been developed to predict mortality and morbidity in Intensive Care Unit (ICU), but different data has been reported so far. AIMS: This retrospective clinical study aims to evaluate predictability of Acute Physiology and Chronic Health Evaluation II (APACHE II), APACHE IV, Simplified Acute Physiology Score III (SAPS III) scoring systems regarding with mortality. SETTINGS AND DESIGN: Sixteen bed surgical-medical ICU in university hospital. MATERIALS AND METHODS: The study comprised 487 patients older than 18 years treated in ICU for at least 24 h. Age, gender, body weight, initial diagnosis, clinic of referral, intubation, comorbidities, APACHE II, APACHE IV, Glasgow coma scale, SAPS III scores, length of hospitalization before referral to ICU, length of stay in ICU, mechanical ventilation were recorded. RESULTS: Most of the patients (54.6%) were consulted from operating room. The most frequent diagnosis was acute respiratory failure. Total mortality rate was 26%. Mortality rate was higher in patients admitted from wards other than surgery (48%) (P < 0.005). In the presence of comorbidities, mortality rate was higher with comorbidities than without (P < 0.05). Regression analysis indicated a significant positive relationship between length of stay in ICU, length of mechanical ventilation and high mortality risk in patients referred from emergency service (P < 0.05). Accuracy rates of predicting mortality were 81%, 79%, and 81% for APACHE II, APACHE IV, and SAPS III, respectively. CONCLUSIONS: The investigated scoring systems are similar in sensitivity and specificity mortality prediction whereas the accuracy was higher for SAPS III and APACHE II than APACHE III in our patient population.
CONTEXT: Various scoring systems have been developed to predict mortality and morbidity in Intensive Care Unit (ICU), but different data has been reported so far. AIMS: This retrospective clinical study aims to evaluate predictability of Acute Physiology and Chronic Health Evaluation II (APACHE II), APACHE IV, Simplified Acute Physiology Score III (SAPS III) scoring systems regarding with mortality. SETTINGS AND DESIGN: Sixteen bed surgical-medical ICU in university hospital. MATERIALS AND METHODS: The study comprised 487 patients older than 18 years treated in ICU for at least 24 h. Age, gender, body weight, initial diagnosis, clinic of referral, intubation, comorbidities, APACHE II, APACHE IV, Glasgow coma scale, SAPS III scores, length of hospitalization before referral to ICU, length of stay in ICU, mechanical ventilation were recorded. RESULTS: Most of the patients (54.6%) were consulted from operating room. The most frequent diagnosis was acute respiratory failure. Total mortality rate was 26%. Mortality rate was higher in patients admitted from wards other than surgery (48%) (P < 0.005). In the presence of comorbidities, mortality rate was higher with comorbidities than without (P < 0.05). Regression analysis indicated a significant positive relationship between length of stay in ICU, length of mechanical ventilation and high mortality risk in patients referred from emergency service (P < 0.05). Accuracy rates of predicting mortality were 81%, 79%, and 81% for APACHE II, APACHE IV, and SAPS III, respectively. CONCLUSIONS: The investigated scoring systems are similar in sensitivity and specificity mortality prediction whereas the accuracy was higher for SAPS III and APACHE II than APACHE III in our patient population.
Authors: Lowell Ling; Chun Ming Ho; Pauline Yeung Ng; King Chung Kenny Chan; Hoi Ping Shum; Cheuk Yan Chan; Alwin Wai Tak Yeung; Wai Tat Wong; Shek Yin Au; Kit Hung Anne Leung; Jacky Ka Hing Chan; Chi Keung Ching; Oi Yan Tam; Hin Hung Tsang; Ting Liong; Kin Ip Law; Manimala Dharmangadan; Dominic So; Fu Loi Chow; Wai Ming Chan; Koon Ngai Lam; Kai Man Chan; Oi Fung Mok; Man Yee To; Sze Yuen Yau; Carmen Chan; Ella Lei; Gavin Matthew Joynt Journal: J Intensive Care Date: 2021-01-06
Authors: Rashan Haniffa; Ilhaam Isaam; A Pubudu De Silva; Arjen M Dondorp; Nicolette F De Keizer Journal: Crit Care Date: 2018-01-26 Impact factor: 9.097