Research Article

An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III

Table 1

General characteristics of AP patients in MIMIC-III.

Characteristics

Number of patients337
Age (IQR, year)65 (47.2-74)
Sex
 Male (, %)189 (56.08%)
 Female148 (43.92%)
Marital status (, %)
 Divorced24 (7.12%)
 Married160 (47.48%)
 Single96 (28.49%)
 Others57 (16.91%)
Ethnicity (, %)
 Asian5 (1.48%)
 Black/African American32 (9.50%)
 Hispanic or Latino9 (2.67%)
 White222 (65.88%)
 Others69 (20.47%)
 In-hospital mortality (, %)38 (11.2%)
 Length of stay in ICU (IQR, day)8.6 (2-10)
Scoring system (IQR)
 SOFA1 (0-3)
 Ranson3 (2-4)

Abbreviations: AP: acute pancreatitis; SOFA: sequential organ failure assessment.