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Table 1 Cohort characteristics

From: Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods

Characteristic

All subjects (n = 615)

Age, years

67 (50, 81)

Female

188 (30.6%)

African American

26 (4.2%)

Body mass index, kg/m2

27.7 (22.5, 36.9)

Medical history

 Hypertension

544 (88.5%)

 Congestive heart failure

243 (39.5%)

 Left ventricular ejection fraction, %

60 (35, 60)

 Myocardial infarction

110 (17.9%)

 Prior cardiac surgery

110 (17.9%)

 Diabetes

202 (32.8%)

 Current smoking

88 (14.3%)

 Chronic obstructive pulmonary disease

64 (10.4%)

 Peripheral vascular disease

170 (27.6%)

Preoperative medication use

 Statin

416 (67.6%)

 ACE inhibitor

192 (31.2%)

Baseline laboratory data

 Creatinine, mg/dl

1.01 (0.74, 1.60)

 eGFR, ml/min/1.73 m2

72.8 (38.5 96.7)

 Hematocrit, %

34 (25, 43)

Perioperative atorvastatin treatment assignment

308 (50%)

Procedure characteristics

 CABG surgery

301 (48.9%)

 Valve surgery

397 (64.6%)

 Cardiopulmonary bypass use

435 (70.7%)

 Cardiopulmonary bypass time, min

110.0 (0, 211.6)

 Aortic cross clamp use

291 (47.3%)

 Aortic cross clamp time, min

0 (0, 139.6)

Intraoperative fluids

 Intravenous crystalloid, mL

1600 (1000, 3000)

 Intravenous hydroxyethyl starch, mL

0 (0, 0)a

 Urine output, mL

430 (175, 946)

Arterial lactate, maximum intraoperative, mmol/L

1.7 (0.9, 3.8)

Length of surgery, hours

5.1 (3.6, 7.8)

  1. aOnly 59 of 615 patients received intravenous hydroxyethyl starch during surgery accounting for the low 10th, 50th, and 90th percentile values. BP blood pressure, ACE angiotensin converting enzyme, eGFR estimated glomerular filtration rate using CKD-Epi formula, CABG coronary artery bypass grafting
  2. Binary characteristics are reported as n (%) and continuous characteristics as median (10th percentile, 90th percentile)