Table 1 General characteristics of sepsis in MIMIC-III
From: Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model
Variables | |
|---|---|
Number of patients(n) | 2874 |
Age(years) | 67 (56–80) |
Gender (n, %) | |
Male | 1602 (55.7%) |
Female | 1272 (44.3%) |
Marital status (n, %) | |
Divorced | 195 (6.8%) |
Married | 1279 (44.5%) |
Single | 816 (28.4%) |
Widow | 442 (15.4%) |
Others | 142 ((4.9%) |
Ethnicity (n, %) | |
Asian | 77 (2.7%) |
White | 2089 (72.7%) |
Black/American | 273 (9.5%) |
Hispanic/Latino | 100 (3.5%) |
Others | 335 (11.6%) |
Department (n, %) | |
CCU | 238 (8.3%) |
MICU | 1894 (65.9%) |
SICU | 428 (14.9%) |
TICU | 222 (7.7%) |
CSRU | 92 (3.2%) |
Admission type (n, %) | |
Elective | 77 (2.7%) |
Urgent | 38 (1.3%) |
Emergency | 2759 (96.0%) |
Comorbidities (n, %) | |
Renal disease | 241 (8.4%) |
CAD | 457 (15.9%) |
Diabetes | 155 (5.4%) |
Hypertension | 1089 (37.9%) |
Scoring system | |
APACHEII | 14 (11–17) |
SOFA | 2 (1–4) |
Clinical outcomes | |
LOS in ICU (days) | 3 (1–8) |
LOS in hospital(days) | 8 (5–17) |
Mortality (n, %) | |
30-day mortality | 856 (29.8%) |