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Table 1 Comparable demographic features among TCM users and non-TCM users after 1:1 propensity score matching

From: Traditional Chinese medicine use is associated with lower end-stage renal disease and mortality rates among patients with diabetic nephropathy: a population-based cohort study

 

TCM users

(n = 34,441)

TCM nonusers

(n = 34,441)

Standardized mean difference

Gender

    

0.068

 Female

14,455

(42.0%)

15,623

(45.4%)

 

 Male

19,986

(58.0%)

18,818

(54.6%)

 

Age (years)

    

−0.017

 -20

24

(0.1%)

49

(0.1%)

 

 21–40

716

(2.1%)

1072

(3.1%)

 

 41–60

8429

(24.5%)

10,140

(29.4%)

 

 61-

25,272

(73.4%)

23,180

(67.3%)

 

Insured level (NTD/month)

    

−0.068

 0–20,000

30,012

(87.1%)

28,832

(83.7%)

 

 20,001–40,000

2330

(6.8%)

3343

(9.7%)

 

 40,001–

2099

(6.1%)

2266

(6.6%)

 

Geolocation

    

0.030

 1 (more urban)

8495

(24.7%)

8648

(25.1%)

 

 2

9400

(27.3%)

9630

(28.0%)

 

 3

5173

(15.0%)

5311

(15.4%)

 

 4

6273

(18.2%)

6058

(17.6%)

 

 5

1063

(3.1%)

1020

(3.0%)

 

 6

2157

(6.3%)

2028

(5.9%)

 

 7 (more rural)

1880

(5.5%)

1746

(5.1%)

 

Previous TCM users

868

(2.5%)

2962

(8.6%)

−0.181

Comorbidities

 Hypertension

22,578

(65.6%)

21,575

(62.6%)

0.060

 Hyperlipidemia

10,659

(30.9%)

10,979

(31.9%)

−0.020

 Heart failure

2147

(6.2%)

2030

(5.9%)

0.015

 IHD

7123

(20.7%)

6867

(19.9%)

0.019

 CVD

3143

(9.1%)

3016

(8.8%)

0.013

 Hyperuricemia

4242

(12.3%)

4060

(11.8%)

0.017

 COPD

4207

(12.2%)

4180

(12.1%)

0.002

 CCI

4.2

(1.9)

4.0

(2.0)

0.088

 Modified DCSI score

1.5

(1.3)

1.4

(1.3)

0.035

Confounding drugs

 Diabetic drugs

  Insulin analogs

3716

(10.8%)

3534

(10.3%)

0.018

  Biguanides

19,275

(56.0%)

19,019

(55.2%)

0.015

  SU

22,281

(64.7%)

21,990

(63.8%)

0.018

  Alpha-glucosidase inhibitors

3597

(10.4%)

3577

(10.4%)

0.002

  TZD

4560

(13.2%)

4597

(13.3%)

−0.003

  Others

2612

(7.6%)

2523

(7.3%)

0.010

 Lipid-lowering agent

     

  Statin

8342

(23.3%)

8291

(23.2%)

0.005

  Fibrate

4003

(11.2%)

4000

(11.2%)

0.000

  Others

104

(0.3%)

90

(0.3%)

0.008

 Anti-hypertensives

  ACEi

9369

(27.2%)

8976

(26.1%)

0.026

  ARB

9511

(27.6%)

9029

(26.2%)

0.032

  α-blocker

2653

(7.7%)

2452

(7.1%)

0.023

  β-blocker

10,484

(30.4%)

10,181

(29.6%)

0.019

  CCB

16,008

(46.5%)

15,137

(44.0%)

0.051

  Diuretics

10,402

(30.2%)

9816

(28.5%)

0.038

  Vasodilator

4640

(13.5%)

4464

(13.0%)

0.015

  Central-acting agent

2653

(7.7%)

2452

(7.1%)

0.027

 Analgesics

  NSAID

10,429

(30.3%)

10,839

(31.5%)

−0.025

  COX-2 inhibitors

1785

(5.2%)

1685

(4.9%)

0.014

  Acetaminophen

8672

(25.2%)

9103

(26.4%)

−0.028

Aspirin

11,949

(34.7%)

11,574

(33.6%)

0.023

  1. Abbreviations: ACEi angiotensin converting enzyme inhibitor, ARB angiotensin II receptor blocker, CCB calcium channel blocker, CCI Charlson’s comorbidity index, COPD chronic obstructive pulmonary disease, COX-2 cyclooxygenase-2 inhibitor, DCSI Diabetes Complications Severity Index, NSAID nonsteroidal anti-inflammatory drug, NTD new Taiwan dollar, SU Sulfonylureas, TCM traditional Chinese medicine, TZD Thiazolidinediones