کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2963111 | 1178533 | 2014 | 9 صفحه PDF | دانلود رایگان |
BackgroundNo scoring system for assessing acute heart failure (AHF) has been reported.Methods and resultsData for 824 AHF patients were analyzed. The subjects were divided into an alive (n = 750) and a dead group (n = 74). We constructed a predictive scoring system based on eight significant APACHE II factors in the alive group [mean arterial pressure (MAP), pulse, sodium, potassium, hematocrit, creatinine, age, and Glasgow Coma Scale (GCS); giving each one point], defined as the APACHE-HF score. The patients were assigned to five groups by the APACHE-HF score [Group 1: point 0 (n = 70), Group 2: points 1 and 2 (n = 343), Group 3: points 3 and 4 (n = 294), Group 4: points 5 and 6 (n = 106), and Group 5: points 7 and 8 (n = 11)]. A higher optimal balance was observed in the APACHE-HF between sensitivity and specificity [87.8%, 63.9%; area under the curve (AUC) = 0.779] at 2.5 points than in the APACHE II (47.3%, 67.3%; AUC = 0.558) at 17.5 points. The multivariate Cox regression model identified belonging to Group 5 [hazard ratio (HR): 7.764, 95% confidence interval (CI) 1.586–38.009], Group 4 (HR: 6.903, 95%CI 1.940–24.568) or Group 3 (HR: 5.335, 95%CI 1.582–17.994) to be an independent predictor of 3-year mortality. The Kaplan–Meier curves revealed a poorer prognosis, including all-cause death and HF events (death, readmission-HF), in Group 5 and Group 4 than in the other groups, in Group 3 than in Group 2 or Group 1, and in Group 2 than in Group 1.ConclusionsThe new scoring system including MAP, pulse, sodium, potassium, hematocrit, creatinine, age, and GCS (APACHE-HF) can be used to predict adverse outcomes of AHF.
Journal: Journal of Cardiology - Volume 64, Issue 6, December 2014, Pages 441–449