IJCS | Volume 33, Nº2, March / April 2020

178 Table 1 - Univariable predictors of rehospitalization within 30 days after discharge Variable Overall cohort (n = 312) No readmission (n = 241) Readmission (n = 71) OR univariate 95% CI p-value Age ≥ 65 years 232 (74.4%) 176 (73.0%) 56 (78.9%) 1.38 (0.73 – 2.61) 0.322 Male gender 194 (62.2%) 151 (62.7%) 43 (60.6%) 0.92 (0.53 – 1.58) 0.749 Etiology Ischemic 179 (57.6%) 133 (55.4%) 46 (64.8%) 1.0 - Hypertensive 54 (17.4%) 45 (18.8%) 9 (12.7%) 0.58 (0.26 – 1.27) 0.274 Idiopathic 32 (10.3%) 25 (10.4%) 7 (9.9%) 0.81 (0.33 – 1.99) 0.646 Valvar 19 (6.1%) 16 (6.7%) 3 (4.2%) 0.54 (0.15 – 1.95) 0.348 Others 27 (8.7%) 21 (8.8%) 6 (8.5%) 0.83 (0.31 – 2.17) 0.699 NYHA - Class IV 154 (49.5%) 119 (49.6%) 35 (49.3%) 0.99 (0.58 – 1.68) 0.966 ACS cause of decompensation 140 (45.9%) 100 (42.6%) 40 (57.1%) 1.80 (1.12 – 3.16) 0.032* Hypertension 268 (85.9%) 203 (84.2%) 65 (91.5%) 2.03 (0.82 – 5.01) 0.120 Diabetes mellitus 153 (49.0%) 115 (47.7%) 38 (53.5%) 1.26 (0.74 – 2.14) 0.390 Coronary disease 202 (64.7%) 150 (62.2%) 52 (73.2%) 1.66 (0.92 – 2.99) 0.088 Kidney disease 94 (30.1%) 69 (28.6%) 25 (35.2%) 1.32 (0.77 – 2.38) 0.288 Valvar disease 22 (7.1%) 19 (7.9%) 3 (4.2%) 0.55 (0.15 – 1.79) 0.290 COPD/asthma 57 (18.3%) 47 (19.5%) 10 (14.1%) 0.68 (0.32 – 1.42) 0.299 Neoplasia 28 (9.0%) 22 (9.1%) 6 (8.5%) 0.92 (0.36 – 2.37) 0.861 Stroke 31 (9.9%) 21 (8.7%) 10 (14.1%) 1.72 (0.77 – 3.84) 0.184 Peripheral vascular disease 60 (19.2%) 42 (17.4%) 18 (25.4%) 1.61 (0.56 – 3.02) 0.136 Alcohol use 69 (22.1%) 57 (23.7%) 12 (16.9%) 0.66 (0.33 – 1.31) 0.231 Smoking 76 (24.4%) 63 (26.1%) 13 (18.3%) 0.63 (0.23 – 1.23) 0.277 Systolic BP on admission < 115 mmHg 73 (23.4%) 58 (24.1%) 15 (21.1%) 0.85 (0.45 – 1.61) 0.607 Heart rate on admission ≤ 80 bpm 139 (44.6%) 106 (44.0%) 33 (46.5%) 1.11 (0.65 – 1.88) 0.710 Sarteschi et al. Predictors of post-discharge 30-day readmission Int J Cardiovasc Sci. 2020; 33(2):175-184 Original Article the use of betablockers was seen in 77% of the patients, as well as angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB). By analyzing only the patients with HF, with reduced ejection fraction (LVEF < 40%), that percentage increases to 82% regarding ACEI/ARB and 84% regarding betablockers. High levels of creatinine were found in 41% of the patients. Anemia was found in more than half of the analyzed sample (53%), as 15% of the patients had abnormal urea levels, and only 8% had abnormal sodium levels (hyponatremia) on admission (Table 1). According to the bivariate analysis, the variables with significant correlation with hospital readmission were: ACS as a cause of decompensation (p = 0.032), LVEF (p = 0.004) and hyponatremia on admission (p = 0.022). Previous comorbidities, such as HAS, coronary artery disease, stroke, peripheral vascular disease (PVD) and smoking had a statistical tendency (p < 0.20) and, therefore, were included in the logistic regression model (Table 1). Multivariable logistic regression detected the following independent risk factors for hospital readmission: left