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Table 2 Multivariate logistic regression model of AKI in the training set

From: Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database

Variables

Multivariable analysis base on LASSO regression result

Multivariable logistics model

β

OR (95%CI)

P value

β

OR (95%CI)

P value

GCS

−0.15

0.98 (0.97–1.00)

0.010

−0.19

0.83 (0.73–0.93)

< 0.05

Microangiopathy (yes)

0.75

2.11 (1.36–3.29)

< 0.001

0.82

2.28 (1.49–3.52)

< 0.001

DM type (T2DM)

0.84

2.31 (1.45–3.71)

< 0.001

0.96

2.62 (1.68–4.11)

< 0.001

History of CHF (yes)

0.94

2.55 (1.22–5.63)

0.016

1.04

2.83 (1.38–6.13)

< 0.05

History of hypertension (yes)

0.61

1.84 (0.59–5.86)

0.015

0.91

2.48 (1.28–4.96)

< 0.05

DBP, mmHg

−0.01

0.99 (0.97–1.00)

0.089

−0.02

0.98 (0.97–1.00)

< 0.05

Urine output, ml

0.00

1.00 (1.00–1.00)

< 0.001

−0.00

1.00 (1.00–1.00)

< 0.001

RR, breaths/min

0.05

1.05 (1.01–1.08)

0.008

0.05

1.05 (1.02–1.09)

< 0.05

Temperature, °C

0.19

1.21 (0.89–1.65)

0.222

   

Preexisting-CKD (yes)

0.20

1.22 (0.42–3.66)

0.718

   

Macroangiopathy (yes)

0.41

1.50 (0.90–2.51)

0.117

   

UTI (Yes)

0.16

1.17 (0.65–2.13)

0.597

   

BUN, mg/dl

0.00

1.00 (0.99–1.01)

0.472

   

Bicarbonate, mEq/L

0.02

1.02 (0.99–1.06)

0.210

   
  1. Abbreviations: AKI Acute kidney injury, LASSO Least absolute shrinkage and selection operator, β Regression coefficient, OR Odds ratios, GCS Glasgow coma scale, DM Diabetic mellitus, T2DM Type 2 diabetic mellitus, CHF Congestive heart failure, DBP Diastolic blood pressure, RR Respiratory rate, CKD Chronic kidney diseases, UTI Urinary tract infection, BUN Blood urea nitrogen