title: Predictors of Long-Term Mortality in Patients Hospitalized in an Intensive Cardiac Care Unit.
abstract: Patients admitted to an intensive cardiac care unit (ICCU) are a heterogeneous population with a high mortality rate. The aim of our study was to investigate which clinical, biochemical, and echocardiographic parameters routinely assessed may affect long-term mortality in a non-selected ICCU population.A total of 392 patients hospitalized between 2008-2011 (mean age, 70 ± 13.8 years, 43% women) were consecutively and prospectively assessed with the following admission diagnoses: 168 with acute coronary syndromes (ACS), 122 with acute decompensated heart failure (ADHF), and 102 with other acute cardiac disorders. Patients were treated according to the current European Society of Cardiology (ESC) guidelines.During a mean 29.3 (± 18.9) months of observation, 152 (38.8%) patients died and 7.9% of the patients needed a red blood cell transfusion (RBC Tx). Patients who died were significantly older and had lower baseline levels of hemoglobin (Hb), serum iron concentration (SIC), total iron binding capacity (TIBC), cholesterol, and left ventricular ejection fraction (LVEF), as well as lower eGFR values, and higher white blood cell (WBC) counts and C-reactive protein (CRP) levels (P < 0.05). Predictors of death in multivariate regression analysis were age, Hb, LVEF, WBC, and CRP. The most powerful factor was hospitalization for non-ACS. The risk of long-term mortality increased with decreasing levels of Hb (P < 0.001), SIC (P = 0.001), TIBC (P = 0.009), and the need for RBC Tx (P < 0.001), as well as the diagnosis of ADHF (P < 0.001) and the absence of ACS (P = 0.007).In ICCU patients, age, Hb, parameters of iron status, and LVEF are strong predictors of long-term mortality. Among the ICCU population, patients with ACS diagnosis have better survival.
authors.affiliation: Department of Cardiology, Medical University of Bialystok.
authors.forename: Ewa
authors.initials: E
authors.lastname: Uscinska
authors.forename: Bożena
authors.initials: B
authors.lastname: Sobkowicz
authors.forename: Anna
authors.initials: A
authors.lastname: Lisowska
authors.forename: Robert
authors.initials: R
authors.lastname: Sawicki
authors.forename: Milena
authors.initials: M
authors.lastname: Dabrowska
authors.forename: Maciej
authors.initials: M
authors.lastname: Szmitkowski
authors.forename: Wlodzimierz J
authors.initials: WJ
authors.lastname: Musial
authors.forename: Agnieszka M
authors.initials: AM
authors.lastname: Tycinska
mesh_terms: D000740:Anemia / Q000097:blood / Q000209:etiology* / Q000401:mortality; D003324:Coronary Artery Disease / Q000150:complications / Q000175:diagnosis / Q000401:mortality*; D003325:Coronary Care Units; D005260:Female; D005500:Follow-Up Studies; D006454:Hemoglobins / Q000378:metabolism; D017052:Hospital Mortality / Q000639:trends; D006801:Humans; D007297:Inpatients; D007501:Iron / Q000097:blood*; D008297:Male; D011044:Poland / Q000453:epidemiology; D011379:Prognosis; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D015996:Survival Rate / Q000639:trends; D013997:Time Factors
chemical_list: D006454:Hemoglobins; D007501:Iron