Risk factors for nephropathy in individuals with new-onset type 2 diabetes undergoing treatment for hypertension: A retrospective analysis using the Diagnosis Procedure Combination database
BACKGROUNDDiabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.METHODSData from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were anal...
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| Published in | Annals of Clinical Epidemiology Vol. 7; no. 3; pp. 71 - 79 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
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Japan
Society for Clinical Epidemiology
01.07.2025
一般社団法人 日本臨床疫学会 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2434-4338 2434-4338 |
| DOI | 10.37737/ace.25009 |
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| Abstract | BACKGROUNDDiabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.METHODSData from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become <60 ml/min/1.73 m2. Candidate risk factors included age, Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels, body mass index, and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate <60 ml/min/1.73 m2 on or before diabetes diagnosis, or age <20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.RESULTSOf 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.CONCLUSIONSAge, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk. |
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| AbstractList | Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.BACKGROUNDDiabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.Data from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become <60 ml/min/1.73 m2. Candidate risk factors included age, Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels, body mass index, and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate <60 ml/min/1.73 m2 on or before diabetes diagnosis, or age <20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.METHODSData from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become <60 ml/min/1.73 m2. Candidate risk factors included age, Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels, body mass index, and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate <60 ml/min/1.73 m2 on or before diabetes diagnosis, or age <20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.Of 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.RESULTSOf 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.Age, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk.CONCLUSIONSAge, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk. INTRODUCTION: Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.METHODS: Data from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become < 60 ml/min/1.73 m2. Candidate risk factors included age; Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels; body mass index; and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate < 60 ml/min/1.73 m2 on or before diabetes diagnosis, or age < 20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.RESULTS: Of 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.CONCLUSION: Age, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk. BACKGROUNDDiabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.METHODSData from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become <60 ml/min/1.73 m2. Candidate risk factors included age, Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels, body mass index, and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate <60 ml/min/1.73 m2 on or before diabetes diagnosis, or age <20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.RESULTSOf 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.CONCLUSIONSAge, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk. Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes. Data from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become <60 ml/min/1.73 m . Candidate risk factors included age, Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels, body mass index, and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate <60 ml/min/1.73 m on or before diabetes diagnosis, or age <20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed. Of 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant. Age, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk. |
| ArticleNumber | 25009 |
| Author | Tomoko Ishigaki Suzuki Kohei Uemura Mari Saito Oba |
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| Cites_doi | 10.1093/aje/kwv214 10.2337/db05-1620 10.1007/s00125-019-4939-5 10.1097/MD.0000000000003013 10.1016/j.je.2016.09.009 10.1097/01.ede.0000135174.63482.43 10.21037/apm-21-2673 10.1007/s13340-021-00497-3 10.1093/aje/kwv225 10.1136/jech-2023-221759 10.1093/aje/kwv215 10.1136/bmjdrc-2019-000902 10.4009/jsdt.55.665 10.1053/j.ajkd.2008.12.034 10.1136/bmjdrc-2016-000291 10.1038/sj.ki.5002017 10.1046/j.1523-1755.2000.00166.x 10.2337/diacare.26.3.638 10.1093/aje/kwv219 10.2337/dc24-S011 10.1007/s00125-012-2796-6 |
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| Keywords | hypertension treatment Onset of diabetic nephropathy new type 2 diabetes risk factor |
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| References | 1. Ministry of Health,. Labour and Welfare. The National Health and Nutrition Survey in Japan, 2019 (in Japanese). Available at https://www.mhlw.go.jp/content/10900000/000687163.pdf pp.20 Last accessed March 13, 2024 18. American Diabetes Association. 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes - 2024. Diabetes Care. 2024;47:S219–S230. 5. Retnakaran R, Cull CA, Thorne KI, et al. Risk factors for renal dysfunction in type 2 diabetes: UK Prospective Diabetes Study 74. Diabetes. 2006;55:1832–1839. 6. Katakura M, Yamauchi K, Naka M, et al. Prospective analysis of mortality and risk factors in elderly diabetic subjects: Nagano Study. Diabetic Care. 2003;26:638–644. 19. Tsai WC, Wu HY, Peng YS, et al. Risk factors for development and progression of chronic kidney disease: A systematic review and exploratory meta-analysis. Medicine. 2016;95:e3013. 13. Brookhart MA. Counterpoint: The treatment decision design. Am J Epidemiol. 2015;182:840–845. 26. Huebschmann AG, Huxley RR, Kohrt WM, et al. Sex differences in the burden of type 2 diabetes and cardiovascular risk across the life course. Diabetologia. 2019;62:1761–1772. 3. Yokoyama H, Okudaira M, Otani T, et al. Higher incidence of diabetic nephropathy in type 2 than in type 1 diabetes in early-onset diabetes in Japan. Kidney Int. 2000;58:302–311. 14. Vandenbroucke J, Pearce N. Response to point-counterpoint: Vandenbroucke and Pearce respond to “Incident and Prevalent Exposures and Causal Inference”. Am J Epidemiol. 2015;182;846–847. 22. Yamana H, Moriwaki M, Horiguchi H, et al. Validity of diagnoses, procedures, and laboratory data in Japanese administrative data. J Epidemiol. 2017;27:476–482. 8. Makino H. Diabetic nephropathy development and progression mechanism and treatment. pp. 6, 1999, Shindan to Chiryo Sha. (in Japanese). 23. Tanaka H, Tomio J, Sugiyama T, et al. Process quality of diabetes care under favorable access to healthcare: a 2-year longitudinal study using claims data in Japan. BMJ Open Diabetes Res Care. 2016;4:e000291. 9. Szkio M, Nieto FJ. Epidemiology: beyond the basics. 4th ed. pp. 157, 2019, Jones & Bartlett Learning, Burlington, Massachusetts. 20. Yamagata K, Ishida K, Sairenchi T, et al. Risk factors for chronic kidney disease in a community-based population: A 10-year follow-up study. Int Soc Nep. 2007;71:159–166. 2. Hanafusa N, Abe M, Joki N, et al. 2021 Annual Dialysis Data Report, JSDT Renal Data Registry. J Jpn Soc Dial Ther. 2022;55:665–723 (in Japanese). 12. Hernán MA. Counterpoint: Epidemiology to guide decision-making: Moving away from practice-free research. Am J Epidemiol. 2015;182:834–839. 21. Lv J, Ren C, Hu Q. Effect of statins on the treatment of early diabetic nephropathy: A systematic review and meta-analysis of nine randomized controlled trials. Ann Palliat Med. 2021;10:11548–11557. 17. KDIGO 2022 Clinical Practice Guideline for Diabetes management in Chronic Kidney Disease. Available at https://pubmed.ncbi.nlm.nih.gov/36272764/ pp. 59 Last accessed October 27, 2024. 24. Mitri J, Sugiyama T, Tanaka H, et al. Understanding the quality of diabetes care in Japan: a systematic review of the literature. Diabetology Int. 2022;13:41–48. 7. Sone H, Saitou Y, Yoshimura Y, et al. Diabetes mellitus and complications recent trends in the Japanese population. Jpn J Internal Medicine. 2004;93:131–138 (in Japanese). 10. Hernán MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–625. 25. He F, Xia X, Wu XF, et al. Diabetic retinopathy in predicting diabetic nephropathy in patients with type 2 diabetes and renal disease: a meta-analysis. Diabetetologia. 2013;56:457–466. 11. Vandenbroucke J, Pearce N. Point: Incident exposures, prevalent exposures, and causal inference: Does limiting studies to persons who are followed from first exposure onward damage epidemiology? Am J Epidemiol. 2015;182:826–833. 4. The Japanese Diabetes Society. Guidelines for Diabetes Treatment. 2019. pp. 145–151, 2020, Nankou-dou, Tokyo, Japan (in Japanese). 27. Gibson AA, Cox E, Schneuer F, et al. Sex differences in risk of incident microvascular and macrovascular complications: a population-based data-linkage study among 25713 people with diabetes. J Epidemiol Community Health. 2024;10;78:479–486. 15. Yoshida Y, Kashiwabara K, Hirakawa Y, et al. Conditions, pathogenesis, and progression of diabetic kidney disease and early decliner in Japan. BMJ Open Diabetes Res Care. 2020;8:e000902. 16. Matsuno S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–992. 22 23 24 25 26 27 10 11 12 13 14 15 16 17 18 19 1 2 3 4 5 6 7 8 9 20 21 |
| References_xml | – reference: 6. Katakura M, Yamauchi K, Naka M, et al. Prospective analysis of mortality and risk factors in elderly diabetic subjects: Nagano Study. Diabetic Care. 2003;26:638–644. – reference: 16. Matsuno S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–992. – reference: 19. Tsai WC, Wu HY, Peng YS, et al. Risk factors for development and progression of chronic kidney disease: A systematic review and exploratory meta-analysis. Medicine. 2016;95:e3013. – reference: 4. The Japanese Diabetes Society. Guidelines for Diabetes Treatment. 2019. pp. 145–151, 2020, Nankou-dou, Tokyo, Japan (in Japanese). – reference: 15. Yoshida Y, Kashiwabara K, Hirakawa Y, et al. Conditions, pathogenesis, and progression of diabetic kidney disease and early decliner in Japan. BMJ Open Diabetes Res Care. 2020;8:e000902. – reference: 20. Yamagata K, Ishida K, Sairenchi T, et al. Risk factors for chronic kidney disease in a community-based population: A 10-year follow-up study. Int Soc Nep. 2007;71:159–166. – reference: 21. Lv J, Ren C, Hu Q. Effect of statins on the treatment of early diabetic nephropathy: A systematic review and meta-analysis of nine randomized controlled trials. Ann Palliat Med. 2021;10:11548–11557. – reference: 26. Huebschmann AG, Huxley RR, Kohrt WM, et al. Sex differences in the burden of type 2 diabetes and cardiovascular risk across the life course. Diabetologia. 2019;62:1761–1772. – reference: 9. Szkio M, Nieto FJ. Epidemiology: beyond the basics. 4th ed. pp. 157, 2019, Jones & Bartlett Learning, Burlington, Massachusetts. – reference: 18. American Diabetes Association. 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes - 2024. Diabetes Care. 2024;47:S219–S230. – reference: 22. Yamana H, Moriwaki M, Horiguchi H, et al. Validity of diagnoses, procedures, and laboratory data in Japanese administrative data. J Epidemiol. 2017;27:476–482. – reference: 11. Vandenbroucke J, Pearce N. Point: Incident exposures, prevalent exposures, and causal inference: Does limiting studies to persons who are followed from first exposure onward damage epidemiology? Am J Epidemiol. 2015;182:826–833. – reference: 12. Hernán MA. Counterpoint: Epidemiology to guide decision-making: Moving away from practice-free research. Am J Epidemiol. 2015;182:834–839. – reference: 13. Brookhart MA. Counterpoint: The treatment decision design. Am J Epidemiol. 2015;182:840–845. – reference: 1. Ministry of Health,. Labour and Welfare. The National Health and Nutrition Survey in Japan, 2019 (in Japanese). Available at https://www.mhlw.go.jp/content/10900000/000687163.pdf pp.20 Last accessed March 13, 2024 – reference: 5. Retnakaran R, Cull CA, Thorne KI, et al. Risk factors for renal dysfunction in type 2 diabetes: UK Prospective Diabetes Study 74. Diabetes. 2006;55:1832–1839. – reference: 8. Makino H. Diabetic nephropathy development and progression mechanism and treatment. pp. 6, 1999, Shindan to Chiryo Sha. (in Japanese). – reference: 3. Yokoyama H, Okudaira M, Otani T, et al. Higher incidence of diabetic nephropathy in type 2 than in type 1 diabetes in early-onset diabetes in Japan. Kidney Int. 2000;58:302–311. – reference: 25. He F, Xia X, Wu XF, et al. Diabetic retinopathy in predicting diabetic nephropathy in patients with type 2 diabetes and renal disease: a meta-analysis. Diabetetologia. 2013;56:457–466. – reference: 7. Sone H, Saitou Y, Yoshimura Y, et al. Diabetes mellitus and complications recent trends in the Japanese population. Jpn J Internal Medicine. 2004;93:131–138 (in Japanese). – reference: 2. Hanafusa N, Abe M, Joki N, et al. 2021 Annual Dialysis Data Report, JSDT Renal Data Registry. J Jpn Soc Dial Ther. 2022;55:665–723 (in Japanese). – reference: 10. Hernán MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–625. – reference: 23. Tanaka H, Tomio J, Sugiyama T, et al. Process quality of diabetes care under favorable access to healthcare: a 2-year longitudinal study using claims data in Japan. BMJ Open Diabetes Res Care. 2016;4:e000291. – reference: 14. Vandenbroucke J, Pearce N. Response to point-counterpoint: Vandenbroucke and Pearce respond to “Incident and Prevalent Exposures and Causal Inference”. Am J Epidemiol. 2015;182;846–847. – reference: 27. Gibson AA, Cox E, Schneuer F, et al. Sex differences in risk of incident microvascular and macrovascular complications: a population-based data-linkage study among 25713 people with diabetes. J Epidemiol Community Health. 2024;10;78:479–486. – reference: 17. KDIGO 2022 Clinical Practice Guideline for Diabetes management in Chronic Kidney Disease. Available at https://pubmed.ncbi.nlm.nih.gov/36272764/ pp. 59 Last accessed October 27, 2024. – reference: 24. Mitri J, Sugiyama T, Tanaka H, et al. Understanding the quality of diabetes care in Japan: a systematic review of the literature. 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| Snippet | BACKGROUNDDiabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed... INTRODUCTION: Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly... Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2... |
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| SubjectTerms | hypertension treatment new type 2 diabetes Onset of diabetic nephropathy Original risk factor |
| Title | Risk factors for nephropathy in individuals with new-onset type 2 diabetes undergoing treatment for hypertension: A retrospective analysis using the Diagnosis Procedure Combination database |
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| ispartofPNX | Annals of Clinical Epidemiology, 2025/07/01, Vol.7(3), pp.71-79 |
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