Research Article
Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model
Table 2
Baseline characteristics of the study population.
| | Characteristics | Description | Median ± SD (percentage) |
| | Age | The age of the patient (years) | 78 ± 10.9 | | Height | The height of the patient (mm) | 162.37 ± 10.34 | | Sex | The sex of the patient (men/women) | 57% men | | Smoker | If the patient smokes, did smoke, and now do not or never has smoked | 15.35% do smoke, 22% did smoke (not now) | | LVEF | Left ventricular ejection fraction (%) | 42.4 ± 15.21 | | First diag | Years since first diagnosis | 5.8 ± 7.04 | | Implanted device | If implanted device (peacemaker, implanted cardioverter defibrillator, and cardiac resynchronisation therapy) | 22.7% | | Need oxygen | If the patient needs oxygen | 4.7% | | Barthel | Barthel scale | 82.98 ± 15.23 | | Gijón [25] | Sociofamily assessment scale in the elderly that allows the detection of risk situations or social problems. | 7.47 ± 2.29 | | Laboratory | | | | Urea | Urea (mg/dl) | 75.12 ± 37.8 | | Creatinine | Creatinine (mg/dl) | 1.3 ± 0.54 | | Sodium | Sodium (mEq/L) | 140.12 ± 4.14 | | Potassium | Potassium (g/dl) | 4.28 ± 0.74 | | Haemoglobin | Haemoglobin (g/dl) | 13 ± 9.6 | | Comorbidities | | | | Rhythm | If sinus rhythm, AF or atrial fluter | Sinus: 37.1% | | Atrial fibrillation | If the patient has atrial fibrillation (AF) | 57.4% | | Pacemaker | If the patient has a pacemaker | 14.5% |
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