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Table 1 Patient demographics and perioperative characteristics

From: Comparing five equations to calculate estimated glomerular filtration rate to predict acute kidney injury following total joint arthroplasty

Variable

n (%)

P-Value

All Cases: n = 497,261

AKI: n = 777

No AKI: n = 496,484

Female Gender

294,369 (59)

349 (45)

294,369 (59)

<0.001

Age (year)

55 ± 13

59 ± 14

55 ± 13

<0.001

Race

   

<0.001

 White

435,993 (88)

617 (79)

435,376 (88)

 

 Black

46,202 (9.3)

148 (19)

46,054 (9.3)

 

 Asian

10,614 (2.1)

8 (1.0)

10,606 (2.1)

 

 Native American, Hawaiian, or Pacific Islander

4452 (0.9)

4 (0.5)

4448 (0.0)

 

BMI (kg/m2)

32 ± 6.7

35 ± 8.1

32 ± 6.7

<0.001

Preoperative Serum Creatinine (mg/dL)

0.9 ± 0.3

1.3 ± 0.7

0.9 ± 0.3

<0.001

Hematocrit (%)a

41 ± 4.1

39 ± 5.2

41 ± 4.1

<0.001

Albumin (g/dL)b

4.1 ± 0.4

3.9 ± 0.5

4.1 ± 0.4

<0.001

Diabetes Mellitus

80,003 (16)

273 (35)

79,730 (16)

<0.001

Hypertension

313,447 (63)

699 (90)

312,748 (63)

<0.001

Congestive Heart Failure

1753 (0.4)

30 (3.9)

1723 (0.4)

<0.001

Chronic Obstructive Pulmonary Disease

18,998 (3.8)

92 (12)

18,906 (3.8)

<0.001

Smoker

49,643 (10)

94 (12)

49,549 (10)

0.049

Type of Surgery

 THA

188,939 (38)

287 (37)

188,652 (38)

0.543

 TKA

308,322 (62)

490 (63)

307,832 (62)

 

Surgical Duration (min)

93 ± 38

103 ± 46

93 ± 38

<0.001

  1. Data are expressed as number of patients (%) or mean ± standard deviation
  2. aValues available for 489,607 total cases
  3. bValues available for 301,393 total cases