Research Article

Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock

Table 2

Results of the multicollinearity diagnosis.

VariablesVariance expansion factor

Gender1.13
Age1.99
Ethnicity1.10
Congestive heart failure1.29
Hypertension1.21
Diabetes1.26
Obesity1.13
APSIII1.04
SAPS II3.20
Aminoglycoside1.08
Glycopeptide antibiotics1.20
NSAIDs1.17
Stain1.17
ACEI/ARBs1.27
Heart rate1.55
Systolic pressure1.68
Diastolic pressure1.79
Respiratory rate1.33
Temperature1.31
SpO21.22
Anion gap3.18
Bicarbonate3.05
Bilirubin1.29
Creatinine2.37
Chloride1.95
Glucose1.29
Lactate1.63
Platelets1.54
Potassium1.23
PTT1.15
APTT1.17
BUN2.23
WBC1.19
Neutrophils1.03
Lymphocytes1.10
Gram-positive bacteria1.08
Gram-negative bacteria1.12
Mechanical ventilation1.60

NSAIDs: nonsteroidal anti-inflammatory drugs; ACEI: angiotensin-converting enzyme inhibitors; ARBs: angiotensin receptor blockers; APS III: acute physiology score III; SAPS II: simplified acute physiology score II; SBP: systolic blood pressure; DBP: diastolic blood pressure; PTT: prothrombin time; APTT: activated partial thromboplastin time; BUN: blood urea nitrogen; WBC: white blood cell; AKI: acute kidney injury.