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. 2021 Aug 18;20:169. doi: 10.1186/s12933-021-01362-y

Table 1.

Patients’ baseline characteristics post propensity-matching

Characteristic Level Study group
SGLT2-I (N  =  9219) oGLAs (N  =  9219) STD
Demographic characteristics
 Women n (%) 3683 (40.0%) 3635 (39.4%) 0.01
 Age (years) Mean (SD) 62.3 (9.6) 62.5 (11.0) − 0.01
 Years in diabetes registry, n (%) ≤ 2 369 (4.0%) 362 (3.9%)  0.4
2–5 1124 (12.2%) 1112 (12.1%)
5–10 2504 (27.2%) 2457 (26.7%)
> 10 5222 (56.6%) 5288 (57.4%)
 Socioeconomic status, n (%) 1–3 (low) 962 (10.4%) 881 (9.6%) 0.00
4–5 (low-medium) 2825 (30.6%) 2930 (31.8%)
6–7 (medium) 3530 (38.3%) 3539 (38.4%)
8–10 (high) 1891 (20.5%) 1858 (20.2%)
Missing 11 (0.1%) 11 (0.1%)
Baseline measures
 BMI Mean (SD) in kg/m2 31.7 (5.4) 31.6 (5.4) 0.02
 HbA1c (%)/mmol/mol Mean (SD) 8.3 (1.5)/67.2 (2.3) 8.3 (1.6)/67.2(2.3) − 0.04
 eGFR (mL/min/1.73 m2), n (%)a > 90 ml/min/1.73 m2 5026 (54.5%) 5026 (54.5%)
60–90 ml/min/1.73 m2 3407 (37.0%) 3407 (37.0%)
< 60 ml/min/1.73 m2 786 (8.5%) 786 (8.5%)
 UACR, n (%) Urinary albumin BDL 3510 (38.1%) 3566 (38.7%) 0.06
< 30 mg/g 2370 (25.7%) 2372 (25.7%)
30– < 300 mg/g 2312 (25.1%) 2295 (24.9%)
> 300 mg/g 664 (7.2%) 655 (7.1%)
Missing 363 (3.9%) 331 (3.6%)
 KDIGO risk [26], n (%) Low-risk 5832 (63.3%) 5936 (64.4%) 0.05
Moderate-risk 2439 (26.5%) 2250 (24.4%)
High and very high-risk 948 (10.3%) 1033 (11.2%)
 Change in eGFR, n (%)b < 3 mL/min/1.73 m2/year 8757 (95.0%) 8645 (93.8%) − 0.04
≥ 3 mL/min/1.73 m2/year 358 (3.9%) 430 (4.7%)
≥ 5 mL/min/1.73 m2/year 110 (1.2%) 124 (1.3%) − 0.01
Missing 104 (1.1%) 144 (1.6%)
Baseline medications
 Metformin n (%) 8571 (93.0%) 8544 (92.7%) 0.01
 Sulfonylureas n (%) 2502 (27.1%) 2549 (27.6%) − 0.01
 DPP4i n (%) 4402 (47.7%) 4373 (47.4%) 0.01
 GLP-1 RA n (%) 1806 (19.6%) 1880 (20.4%) − 0.02
 Metiglinides n (%) 1093 (11.9%) 1074 (11.6%) 0.01
 TZDs n (%) 620 (6.7%) 667 (7.2%) − 0.02
 Acarbose n (%) 210 (2.3%) 214 (2.3%) − 0.00
 Insulin n (%) 2474 (26.8%) 2295 (24.9%) 0.04
 Short-acting n (%) 582 (6.3%) 557 (6.0%) 0.01
 Long-acting n (%) 2171 (23.5%) 2105 (22.8%) 0.02
 ACEi/ARBs n (%) 6595 (71.5%) 6436 (69.8%) 0.04
 Beta blockers n (%) 3664 (39.7%) 3634 (39.4%) 0.01
 Aldosterone antagonists n (%) 413 (4.5%) 415 (4.5%) − 0.00
Medical history
 Established CVD history [24] n (%) 2705 (29.3%) 2697 (29.3%) 0.00
 Myocardial infarction/CABG/PCI with stent n (%) 1795 (19.5%) 1796 (19.5%) − 0.00
 Microvascular complicationsc n (%) 5624 (61.0%) 5495 (59.6%) 0.03
 Heart failure (24) n (%) 344 (3.7%) 307 (3.3%) 0.02

ACEi angiotensin-converting enzyme inhibitors; ARBs Angiotensin II receptor blocker; BDL below detectable levels; CABG coronary artery bypass grafting; DPP4i Dipeptidyl peptidase-4 inhibitor; eGFR estimated glomerular filtration rate; GLP-1 RAs glucagon-like peptide-1 receptor agonists; KDIGO Kidney Disease: Improving Global Outcome; oGLA other glucose lowering agent; PCI percutaneous coronary intervention; STD standardized difference; TZD Thiazolidinediones; UACR urinary albumin to creatinine ratio

aThe propensity score matching was generated on each eGFR layer separately, therefore the number of participants in each arm's eGFR layer is equal by definition

bBaseline eGFR slope (per year) was calculated during the 4 years prior to the index date. Slope was calculated only for the participants with at-least 180 days interval between their first and their last (i.e., before index date) eGFR measurement during this period

cMicrovascular complications was defined as: diabetic eye complication, neuropathy, diabetic foot/ peripheral angiopathy or diabetic kidney disease (i.e., nephropathy, eGFR  <  60 or UACR  >  100)