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Table 1 Characteristics of the study population (n = 38,597), stratified by outcome group

From: Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS)

 

kidney stones (KS)

other genitourinary diseases (GUD)

other conditions (OTH)

acute localized pain (ALP)

% (N)

% (N)

p-value

% (N)

p-value

% (N)

p-value

 Total

217

14,391

 

23,931

 

7446

 

Gender

 Male

45.2% (98)

54.3% (7816)

0.0072

58.1% (13895)

0.0001

52.4% (3902)

0.04

Ethnicity

 White

76.5% (166)

72.0% (10359)

0.34

71.1% (17007)

0.0008

72.7% (5413)

0.04

 Black

10.6% (23)

10.4% (1493)

6.0% (1445)

7.4% (549)

 Hispanic

3.2% (7)

2.9% (416)

3.5% (833)

3.1% (231)

 Asian

1.4% (3)

2.5% (358)

2.3% (555)

1.7% (124)

 Other

8.3% (18)

12.2% (1765)

17.1% (4091)

15.2% (1129)

Insurance

 Medicare/Medicaid/Government

67.3% (146)

77.6% (11164)

0.0002

57.8% (13837)

0.0094

64.7% (4814)

0.48

 Self pay/Private

32.3% (70)

21.7% (3130)

40.4% (9671)

34.4% (2560)

 

 Missing

0.5% (1)

0.7% (97)

1.8% (423)

1.0% (72)

 

Admission type

 Elective

9.2% (20)

8.2% (1176)

0.92

20.2% (4841)

< 0.0001

16.0% (1193)

0.01

 Emergency

89.4% (194)

89.6% (12895)

76.9% (18406)

80.7% (6005)

 Urgent

1.4% (3)

2.2% (320)

2.9% (684)

3.3% (248)

 

Median (IQR)

Median (IQR)

 

Median (IQR)

 

Median (IQR)

 

 Age

67 (56–77)

72 (59–82)

< 0.0001

62 (50–75)

0.0049

64 (51–77)

0.083

 BMI

29.1 (28.3–30.5)

27.5 (26.9–27.6)

0.15

27.2 (27.2–27.2)

0.0023

27.0 (26.9–27.1)

< 0.0001

 Charlson Index

1 (0–2)

2 (1–4)

< 0.0001

1 (0–2)

0.74

1 (0–3)

0.12

 eGFR

50.8 (33.4, 81.9)

38.9 (22.5, 62.3)

0.0013

82.5 (59.1, 98.7)

< 0.0001

65.1 (37.3, 93.9)

< 0.0001

 STONE

4 (2–4)

2 (2–4)

< 0.0001

2 (2–4)

< 0.0001

4 (2–4)

0.46