Skip to main content
. 2022 Nov 16;46(1):65–74. doi: 10.2337/dc22-0383

Table 2.

Cox proportional hazards models for filling a new prescription for a GLP1-RA or an SGLT2i

HR (95% CI) P
Age 0.94 (0.94–0.94) <0.0001
Male 1.078 (1.06–1.1) <0.0001
Year of cohort entry
 2016 Ref
 2017 1.455 (1.43–1.48) <0.0001
 2018 1.832 (1.79–1.87) <0.0001
 2019 2.275 (2.23–2.33) <0.0001
Race/ethnicity
 Non-Hispanic White Ref
 Non-Hispanic Black 0.810 (0.79–0.83) <0.0001
 Hispanic 0.989 (0.95–1.03) 0.6104
 Asian 1.034 (0.99–1.08) 0.1263
 Other 0.874 (0.79–0.97) 0.0112
 Missing 1.032 (0.99–1.07) 0.093
SDI, per SD28 0.964 (0.96–0.97) <0.0001
Region
 South Ref
 Northeast 0.935 (0.92–0.96) <0.0001
 Midwest 0.815 (0.80–0.83) <0.0001
 West 1.064 (1.04–1.09) <0.0001
Comorbidities
 Hypertension 1.053 (1.02–1.08) 0.0004
 Hyperlipidemia 1.105 (1.08–1.13) <0.0001
 Atrial fibrillation/flutter 0.945 (0.92–0.97) <0.0001
 Obesity 1.377 (1.35–1.40) <0.0001
 Cirrhosis 0.852 (0.80–0.91) <0.0001
 NAFLD, hepatosteatosis 1.236 (1.19–1.28) <0.0001
Tobacco use 0.869 (0.83–0.91) <0.0001
Alcohol use 0.845 (0.78–0.91) <0.0001
Diabetes complications
 Neuropathy 1.225 (1.20–1.25) <0.0001
 Retinopathy 1.179 (1.15–1.20) <0.0001
 Nephropathy 1.151 (1.12–1.19) <0.0001
Comorbidity indices
 Gagne index 0.980 (0.98–0.98) <0.0001
 Frailty index 0.802 (0.61–1.05) 0.1129
SGLT2i contraindications
 Diabetic ketoacidosis 1.173 (1.00–1.37) 0.0487
 Urinary tract infection 0.956 (0.93–0.98) 0.0002
 Cellulitis of the groin or Fournier gangrene 1.384 (1.31–1.46) <0.0001
 Nontraumatic amputation 0.961 (0.87–1.06) 0.4309
 Hypotension 0.924 (0.88–0.96) 0.0004
 Falls 0.992 (0.96–1.03) 0.6466
 Fracture 1.002 (0.98–1.03) 0.8928
GLP1-RA contraindications
 Pancreatitis 0.896 (0.82–0.98) 0.0185
 Cholelithiasis, cholecystitis 0.844 (0.80–0.89) <0.0001
 Medullary thyroid cancer 1.374 (0.34–5.49) 0.6532
SGLT2i and GLP1-RA relative contraindication
 Chronic kidney disease, stage 4 0.998 (0.98–1.02) 0.8524
Diabetes medications
 Metformin 1.421 (1.38–1.46) <0.0001
 Sulfonylureas 1.593 (1.54–1.64) <0.0001
 Meglitinides 1.509 (1.42–1.60) <0.0001
 DPP-4 inhibitors 1.867 (1.82–1.92) <0.0001
 Thiazolidinediones 1.432 (1.38–1.49) <0.0001
 α-Glucosidase inhibitors 1.397 (1.27–1.54) <0.0001
 Amylin analogs 1.590 (1.04–2.44) 0.034
 Basal insulins 1.707 (1.65–1.77) <0.0001
 Bolus insulins 1.163 (1.12–1.21) <0.0001
 Mixed insulins 1.378 (1.31–1.45) <0.0001
Cardiovascular medications
 β-Blockers 1.028 (1.01–1.04) 0.0009
 ACE inhibitors, ARBs 1.038 (1.02–1.06) <0.0001
 Mineralocorticoid receptor antagonists 1.037 (1.01–1.07) 0.0105
 Sacubitril 1.373 (1.25–1.51) <0.0001
 Thiazide diuretics 0.931 (0.91–0.95) <0.0001
 Loop diuretics 0.986 (0.97–1.01) 0.1662
 Calcium channel blockers 0.893 (0.88–0.91) <0.0001
 Statins 1.010 (0.99–1.03) 0.2839
 Ezetimibe 1.177 (1.14–1.22) <0.0001
 PCSK9 inhibitors 1.873 (1.68–2.09) <0.0001
 Fibrates 1.079 (1.05–1.11) <0.0001
 Niacin 0.908 (0.83–1.00) 0.0469
 n-3 formulations 1.420 (1.36–1.48) <0.0001
 Bile acid sequestrants 1.158 (1.09–1.23) <0.0001
Use measures
 Primary care visits, per SD (5 visits) 0.984 (0.98–0.99) 0.0001
 Endocrine visits 1.062 (1.06–1.07) <0.0001
 Cardiology visits 1.024 (1.02–1.03) <0.0001
 ER visits 0.976 (0.97–0.99) <0.0001
 Hospitalizations 0.867 (0.85–0.88) <0.0001
 Total prescriptions 1.063 (1.05–1.07) <0.0001
 Total diabetes prescriptions 1.100 (1.07–1.13) <0.0001

Full model (model 4) is adjusted for demographic characteristics, comorbidities, medication use, race/ethnicity, SDI, and health care use measures. ARB, angiotensin II receptor blocker; DPP-4, dipeptidyl peptidase 4; ER, emergency room; NAFLD, nonalcoholic fatty liver disease; PCSK9, proprotein convertase subtilisin/kexin type 9; Ref, reference.