| Literature DB >> 25258626 |
Hasniza Zaman Huri1, NorFarahen Selamat2, Shireene Ratna Vethakkan3.
Abstract
Dipeptidyl-4 (DPP-4) inhibitors are oral antidiabetic agents recently introduced to Malaysia. Thus, limited data is available on their utilization patterns and factors associated with their use. This study aims to analyse the utilization patterns of DPP-4 inhibitors, factors that influenced the choice of agent, and the rationale for treatment with DPP-4 inhibitors in patients with type 2 diabetes mellitus. This retrospective study was conducted to address the utilization pattern of DPP-4 inhibitors and factors that influence choice in type 2 diabetes mellitus patients. 299 subjects taking either sitagliptin or vildagliptin from September 2008 to September 2012 were included in the study. Sitagliptin was more frequently prescribed than vildagliptin. Of the patients prescribed DPP-4 inhibitors, 95% received combinations of these and other agents, whereas only 5% were prescribed DPP-4 inhibitors as monotherapy. Factors affecting the utilization of DPP-4 inhibitors included age (P = 0.049) and concomitant use of beta blockers (P = 0.045) and aspirin (P = 0.008). Early identification of factors associated with DPP-4 inhibitors is essential to enhance quality use of the drugs.Entities:
Year: 2014 PMID: 25258626 PMCID: PMC4167207 DOI: 10.1155/2014/367564
Source DB: PubMed Journal: Int J Endocrinol ISSN: 1687-8337 Impact factor: 3.257
Demographic characteristics of the patients.
| Demographic characteristic |
| Number of patients (percentage, %) |
|---|---|---|
| Gender | ||
| Male | 299 | 133 (44.5) |
| Female | 299 | 166 (55.5) |
| Age | ||
| Nonelderly | 299 | 161 (53.8) |
| Elderly | 299 | 138 (46.2) |
| Ethnicity | ||
| Malay | 299 | 99 (33.2) |
| Chinese | 299 | 103 (34.4) |
| Indian | 299 | 97 (32.4) |
| BMI | ||
| Underweight | 220 | 1 (0.4) |
| Normal body weight | 220 | 30 (13.6) |
| Overweight | 220 | 99 (45.0) |
| Obese | 220 | 90 (41.0) |
Clinical characteristics of the patients.
| Clinical characteristics |
| Number of patients (percentage, %) |
|---|---|---|
| Duration since the diagnosis of T2DM | ||
| ≤10 years | 220 | 67 (22.4) |
| 11–20 years | 220 | 98 (32.8) |
| 21–30 years | 220 | 46 (15.4) |
| >30 years | 220 | 9 (3.0) |
| HbA1c | ||
| Less than 6.5% | 266 | 29 (10.9) |
| 6.5% or more | 266 | 237 (89.1) |
| Number of concurrent medication | ||
| No polypharmacy | 299 | 44 (14.7) |
| Polypharmacy | 299 | 255 (85.3) |
Association between age and use of DPP-4 inhibitors.
| Agent |
| Age | |
|---|---|---|---|
| Nonelderly | Elderly | ||
| Sitagliptin | 257 | 132 (51.4%) | 125 (48.6%) |
| Vildagliptin | 42 | 29 (69.0%) | 13 (31.0%) |
Chi square = 3.860, df = 1, P = 0.049.
Association between use of a DPP-4 inhibitor and a beta blocker.
| Agent |
| Beta blocker | |
|---|---|---|---|
| Yes | No | ||
| Sitagliptin | 257 | 86 (33.5%) | 171 (66.5%) |
| Vildagliptin | 42 | 7 (16.6%) | 35 (83.4%) |
Chi square = 4.001, df = 1, P = 0.045.
Association between use of a DPP-4 inhibitor and aspirin.
| Agent |
| Aspirin | |
|---|---|---|---|
| Yes | No | ||
| Sitagliptin | 257 | 121 (47.1%) | 136 (52.9%) |
| Vildagliptin | 42 | 10 (23.8%) | 32 (76.2%) |
Chi square = 7.025, df = 1, P = 0.008.
Parameters not significantly associated with the use of DPP-4 inhibitors.
| Patient characteristic | Number of patients (percentage, %) |
| |
|---|---|---|---|
| Sitagliptin ( | Vildagliptin ( | ||
| Gender | |||
| Male | 111 (43.2%) | 22 (52.4%) | 0.345a |
| Female | 146 (56.8%) | 20 (47.6%) | |
| Ethnicity | |||
| Malay | 85 (33.1%) | 14 (33.3%) | 0.345a |
| Chinese | 85 (33.1%) | 18 (42.9%) | |
| Indian | 87 (33.9%) | 10 (23.8%) | |
| BMI | |||
| Underweight | 0 (0%) | 1 (4.0%) | 0.160a |
| Normal weight | 28 (14.4%) | 2 (8.0%) | |
| Overweight | 87 (44.6%) | 12 (48.0%) | |
| Obese | 80 (41.0%) | 10 (40.0%) | |
| Duration since the diagnosis of T2DM | |||
| ≤10 years | 58 (29.6%) | 9 (37.5%) | 0.661a |
| 11–20 years | 88 (44.9%) | 10 (41.7%) | |
| 21–30 years | 41 (20.9%) | 5 (20.8%) | |
| >30 years | 9 (4.6%) | 0 (0.0%) | |
| A1c | |||
| <6.5% | 25 (10.7%) | 4 (12.5%) | 0.762b |
| ≥6.5% | 209 (89.3%) | 28 (87.5%) | |
| Polypharmacy | |||
| <5 drugs | 38 (14.8%) | 6 (13.3%) | 1.000a |
| ≥5 drugs | 219 (85.2%) | 36 (86.7%) | |
| Renal impairment | 70 (27.2%) | 8 (19.0%) | 0.352a |
| Hepatic impairment | 6 (2.3%) | 0 (0%) | 1.000b |
| Heart disease | 77 (29.9%) | 9 (21.4%) | 0.343a |
| Obesity | 77 (29.9%) | 9 (21.4%) | 0.343a |
| Hypertension | 219 (85.2%) | 32 (76.19%) | 0.211a |
| Hyperlipidemia | 180 (70.0%) | 30 (71.4%) | 1.000a |
| Metformin | 188 (73.1%) | 36 (85.7%) | 0.121a |
| Sulphonylurea | 179 (69.6%) | 30 (71.4%) | 0.959a |
| Acarbose | 34 (13.2%) | 7 (16.6%) | 0.720a |
| Thiazolidinedione | 1 (0.39%) | 0 (0%) | 1.000b |
| Meglitinides | 1 (0.39%) | 1 (2.3%) | 0.262b |
| Insulin | 65 (25.3%) | 5 (11.9%) | 0.089a |
| ACE inhibitor | 88 (34.2%) | 19 (45.2%) | 0.228a |
| ARB | 95 (36.9%) | 11 (26.1%) | 0.238a |
| CCB | 111 (43.2%) | 19 (45.2%) | 0.936a |
| Thiazide | 74 (28.8%) | 9 (21.4%) | 0.422a |
| Loop diuretics | 31 (12.0%) | 2 (4.7%) | 0.194b |
| Spironolactone | 7 (2.7%) | 0 (0%) | 0.599b |
| Statin | 215 (83.6%) | 36 (85.7%) | 0.912a |
| Fibrates | 27 (10.5%) | 4 (9.5%) | 1.000b |
aBy Pearson chi square.
bBy Fisher's exact test.