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Table 1 Demographics of SGLT2i initiators with DKD, in the total study population, and stratified by insurance type and CV risk

From: Predictors of cardio-kidney complications and treatment failure in patients with chronic kidney disease and type 2 diabetes treated with SGLT2 inhibitors

Demographics

SGLT2i initiators with DKD (N = 6389)

Commercial insurance (N = 2284)

Medicare insurance (N = 4105)

Low CV risk (N = 2797)

Moderate CV risk (N = 3237)

High CV risk (N = 355)

Age

 

 Mean (SD)

65.5 (10.6)

56.4 (8.7)

70.6 (7.8)

64.4 (10.6)

66.4 (10.5)

66.7 (10.3)

 Median [IQR]

67 [59, 73]

58 [51, 62]

71 [67, 75]

66 [57, 72]

68 [60, 73]

68 [61, 74]

Sex

 

 Female, n (%)

3006 (47.0%)

880 (38.5%)

2126 (51.8%)

1341 (47.9%)

1510 (46.6%)

155 (43.7%)

 Male, n (%)

3382 (52.9%)

1403 (61.4%)

1979 (48.2%)

1455 (52.0%)

1727 (53.4%)

200 (56.3%)

 Unknown, n (%)

1 (0.0%)

1 (0.0%)

0 (0.0%)

1 (0.0%)

0 (0.0%)

0 (0.0%)

Race

 

 White, n (%)

3062 (47.9%)

1297 (56.8%)

1765 (43.0%)

1486 (53.1%)

1416 (43.7%)

160 (45.1%)

 Asian, n (%)

419 (6.6%)

145 (6.3%)

274 (6.7%)

190 (6.8%)

214 (6.6%)

15 (4.2%)

 Black, n (%)

773 (12.1%)

267 (11.7%)

506 (12.3%)

337 (12.0%)

381 (11.8%)

55 (15.5%)

 Hispanic, n (%)

1484 (23.2%)

469 (20.5%)

1015 (24.7%)

515 (18.4%)

879 (27.2%)

90 (25.4%)

 Missing, n (%)

651 (10.2%)

106 (4.6%)

545 (13.3%)

269 (9.6%)

347 (10.7%)

35 (9.9%)

Region

 

 Northeast, n (%)

564 (8.8%)

155 (6.8%)

409 (10.0%)

235 (8.4%)

285 (8.8%)

44 (12.4%)

 Midwest, n (%)

433 (6.8%)

235 (10.3%)

198 (4.8%)

236 (8.4%)

166 (5.1%)

31 (8.7%)

 South, n (%)

3779 (59.1%)

1379 (60.4%)

2400 (58.5%)

1616 (57.8%)

1937 (59.8%)

226 (63.7%)

 West, n (%)

1584 (24.8%)

511 (22.4%)

1073 (26.1%)

700 (25.0%)

832 (25.7%)

52 (14.6%)

 Missing, n (%)

29 (0.5%)

4 (0.2%)

25 (0.6%)

10 (0.4%)

17 (0.5%)

2 (0.6%)

Provider specialty

 

 Endocrinologist, n (%)

469 (7.3%)

206 (9.0%)

263 (6.4%)

145 (5.2%)

292 (9.0%)

32 (9.0%)

 Nephrologist, n (%)

35 (0.5%)

12 (0.5%)

23 (0.6%)

14 (0.5%)

17 (0.5%)

4 (1.1%)

 Cardiologist, n (%)

91 (1.4%)

24 (1.1%)

67 (1.6%)

36 (1.3%)

43 (1.3%)

12 (3.4%)

 GP/Internist, n (%)

1556 (24.4%)

424 (18.6%)

1132 (27.6%)

645 (23.1%)

825 (25.5%)

86 (24.2%)

 Urologist, n (%)

12 (0.2%)

2 (0.1%)

10 (0.2%)

5 (0.2%)

6 (0.2%)

1 (0.3%)

 IP facility provider, n (%)

72 (1.1%)

27 (1.2%)

45 (1.1%)

22 (0.8%)

39 (1.2%)

11 (3.1%)

 OP facility provider, n (%)

61 (1.0%)

12 (0.5%)

49 (1.2%)

22 (0.8%)

36 (1.1%)

3 (0.8%)

 Missing, n (%)

2067 (32.4%)

635 (27.8%)

1432 (34.9%)

820 (29.3%)

1122 (34.7%)

125 (35.2%)

Insurance type

 

 Commercial, n (%)

2284 (35.7%)

2284 (100.0%)

0 (0.0%)

1234 (44.1%)

957 (29.6%)

93 (26.2%)

 Medicare, n (%)

4105 (64.3%)

0 (0.0%)

4105 (100.0%)

1563 (55.9%)

2280 (70.4%)

262 (73.8%)

  1. Abbreviations: CDM Clinformatics Data Mart, DKD diabetic kidney disease, CV cardiovascular, GP general practitioner, IP inpatient, IQR interquartile range, OP outpatient, SD standard deviation, SGLT2i sodium-glucose co-transporter-2 inhibitor, T2D type 2 diabetes