| Literature DB >> 26362195 |
Hiroki Miyazaki1,2, Akira Babazono3, Takumi Nishi4, Toshiki Maeda5, Takuya Imatoh6, Masayoshi Ichiba7, Hiroshi Une8.
Abstract
BACKGROUND: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease worldwide. Renin-angiotensin system (RAS) inhibitors are the first-line treatment for diabetic patients with hypertension. However, whether RAS inhibitors prevent the development of DKD remains controversial. We conducted a retrospective cohort study quantifying the preventive effect of antihypertensive treatment with RAS inhibitors on DKD, using data from specific health check-ups and health insurance claims.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26362195 PMCID: PMC4567802 DOI: 10.1186/s40360-015-0024-y
Source DB: PubMed Journal: BMC Pharmacol Toxicol ISSN: 2050-6511 Impact factor: 2.483
Fig. 1Inclusion and exclusion flowchart. DM; diabetes mellitus, CHD; coronary heart disease, CKD; chronic kidney disease
Definition of diabetic kidney disease and International Classification of Diseases, 10th revision
| Code | Description |
|---|---|
| ICD E102 | Type 1 DM with incipient diabetes nephropathy |
| ICD E112 | Type 2 DM with incipient diabetes nephropathy |
| ICD E142 | Unspecified DM with incipient diabetes nephropathy |
| ICD N083 | Glomerular disorders in diabetes mellitus |
| ICD N180 | End-stage renal disease |
| ICD N189 | Chronic kidney disease, unspecified |
| ICD I129 | Hypertensive chronic kidney disease |
Subject characteristics according to treatment groups
| Total | No treatment | Non-RAS treatment | RAS treatment |
| ||
|---|---|---|---|---|---|---|
| ( | ( | ( | ( | |||
| Median age | [IQR] | 53[9] | 53[11] | 52[17] | 53[9] | 0.944a |
| Age | 40–49 | 103(25 %) | 40(29.4 %) | 3(27.3 %) | 60 (22.1 %) | |
| 50–59 | 233(56 %) | 70(51.5 %) | 4(36.4 %) | 159(58.7 %) | 0.268 | |
| 60≤ | 82(20 %) | 26(19.1 %) | 4(36.4 %) | 52(19.2 %) | ||
| Gender | Male | 361(86 %) | 122(89.7 %) | 9(81.8 %) | 230(84.9 %) | 0.369 |
| Female | 57(14 %) | 14(10.3 %) | 2(18.2 %) | 41(15.1 %) | ||
| Prefecture | Fukuoka | 198(47 %) | 72(52.9 %) | 6(54.5 %) | 121(44.6 %) | 0.315 |
| Median BMI, kg/m2 | [IQR] | 26.1[4.6] | 26.2[44] | 24.8[4.2] | 26.1[4.6] | 0.302a |
| Median WC, cm | [IQR] | 90.3[13] | 90.2[12.5] | 87.5[10] | 90.5[12.5] | 0.368a |
| Median SBP, mmHg | [IQR] | 142[19] | 146[12] | 139[31] | 138[22] | 0.001a |
| Median DBP, mmHg | [IQR] | 88[14] | 92[10] | 82[20] | 84[12] | 0.001a |
| Median HbA1c, % | [IQR] | 7.1[1.5] | 7.4[1.8] | 6.5[0.6] | 7.1[1.5] | 0.001a |
| Median TGs, mg/dl | [IQR] | 139[106] | 141.5[44] | 139[73] | 137[101] | 0.94a |
| Median GGT, U/I | [IQR] | 54[58] | 46[49] | 44[76] | 57[57] | 0.153a |
| Hypercholesterolemia | 734(33 %) | 337(30.4 %) | 143(34.2 %) | 151(32.7) | 0.389 | |
| Smoking | 493(22 %) | 211(19 %) | 93(22.2 %) | 122(26.4) | 0.821 |
Numbers are median [IQR] or number (%), unless otherwise stated. IQR interquartile range
BMI body mass index, WC waist circumference, TGs triglycerides, GGT gamma-glutamyltransferase
aCompared using the Kruskal-Wallis test. Other comparisons made using Pearson's chi-square test
Crude and adjusted odds ratios for DKD development
| Total | Subject developed DKD | Subject did not develop DKD | Unadjusted (95 % CI) | Adjusteda (95 % CI) |
| |
|---|---|---|---|---|---|---|
| ( | ( | ( | ||||
| No treatment | 136(100 %) | 16(11.8 %) | 120(88.2 %) | 1.00(reference) | 1.00(reference) | |
| Non-RAS treatment | 11(100 %) | 2(18.2 %) | 9(81.8 %) | 1.67(0.33 to 8.41) | 2.40(0.43 to 13.48) | 0.366 |
| RAS-treatment | 271(100 %) | 12(4.4 %) | 259(95.6 %) | 0.35(0.16 to 0.83) | 0.37(0.16 to 0.83) | 0.015 |
aAdjusted by age, gender, prefecture, and HbA1c
Hosmer-Lemeshow goodness of fit: P = 0.151