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Xing J, Huang L, Ren W, Mei X. Risk factors for rapid kidney function decline in diabetes patients. Ren Fail 2024; 46:2398188. [PMID: 39258389 PMCID: PMC11391878 DOI: 10.1080/0886022x.2024.2398188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/15/2024] [Accepted: 08/23/2024] [Indexed: 09/12/2024] Open
Abstract
Diabetic nephropathy, as a severe microvascular complication of diabetes, manifests in four clinical types: classic, albuminuria regression, a rapid decline in kidney function (RDKF), and non-proteinuric or non-albuminuric DKD. Rapidly progressive diabetic nephropathy advances to end-stage renal disease more swiftly than the typical form, posing significant risks. However, a comprehensive understanding of rapidly progressive diabetic nephropathy is currently lacking. This article reviewed latest developments in genetic and clinical risk factors associated with rapidly progressive diabetic nephropathy, aiming to broad perspectives concerning the diagnosis and interventions of this condition.
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Affiliation(s)
- Jixin Xing
- Department of Nephrology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
| | - Linxi Huang
- Department of Nephrology, PLA Navy No. 905 Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
| | - Weifu Ren
- Department of Nephrology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
| | - Xiaobin Mei
- Department of Nephrology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
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Hsu CY, Yeh CY, Yen TY, Chen CC, Chen JF, Chu CH, Huang CN, Lin CL, Lin SY, Liu FH, Ou HY, Wang CY. The expert consensus on care and education for patients with diabetic kidney disease in Taiwan. Prim Care Diabetes 2024; 18:284-290. [PMID: 38423826 DOI: 10.1016/j.pcd.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
Increasing prevalence of type 2 DM (T2DM) and diabetic kidney disease (DKD) has posed a great impact in Taiwan. However, guidelines focusing on multidisciplinary patient care and patient education remain scarce. By literature review and expert discussion, we propose a consensus on care and education for patients with DKD, including general principles, specifics for different stages of chronic kidney disease (CKD), and special populations. (i.e. young ages, patients with atherosclerotic cardiovascular disease or heart failure, patients after acute kidney injury, and kidney transplant recipients). Generally, we suggest performing multidisciplinary patient care and education in alignment with the government-led Diabetes Shared Care Network to improve the patients' outcomes for all patients with DKD. Also, close monitoring of renal function with early intervention, control of comorbidities in early stages of CKD, and nutrition adjustment in advanced CKD should be emphasized.
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Affiliation(s)
- Chih-Yao Hsu
- Endocrinology and Metabolism Division, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan
| | | | - Tsung-Yi Yen
- Family Medicine Department, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
| | - Ching-Chu Chen
- Endocrinology and Metabolism Division, China Medical University Hospital, Taichung, Taiwan
| | - Jung-Fu Chen
- Endocrinology and Metabolism Division, Chang Gung Memorial Hospital Kaohsiung Branch, Kaohsiung, Taiwan
| | - Chih-Hsun Chu
- Endocrinology and Metabolism Division, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Chien-Ning Huang
- Endocrinology and Metabolism Division, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Ching-Ling Lin
- Endocrinology and Metabolism Division, Cathay General Hospital, Taipei, Taiwan
| | - Shih-Yi Lin
- Endocrinology and Metabolism Division, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Feng-Hsuan Liu
- Endocrinology and Metabolism Division, Chang Gung Memorial Hospital, Taipei Branch, Taipei, Taiwan
| | - Horng-Yih Ou
- Endocrinology and Metabolism Division, National Cheng Kung University Hospital, Tainan, Taiwan.
| | - Chih-Yuan Wang
- Endocrinology and Metabolism Division, National Taiwan University Hospital, Taipei, Taiwan.
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Xu J, Xue Y, Chen Q, Han X, Cai M, Tian J, Jin S, Lu H. Identifying Distinct Risk Thresholds of Glycated Hemoglobin and Systolic Blood Pressure for Rapid Albuminuria Progression in Type 2 Diabetes From NHANES (1999–2018). Front Med (Lausanne) 2022; 9:928825. [PMID: 35795642 PMCID: PMC9251013 DOI: 10.3389/fmed.2022.928825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundIt is widely recognized that glycated hemoglobin (HbA1c) and systolic blood pressure (SBP) are two key risk factors for albuminuria and renal function impairment in patients with type 2 diabetes mellitus (T2DM). Our study aimed to identify the specific numerical relationship of albumin/creatinine ratio (ACR) with HbA1c and SBP among a large population of adults with T2DM.MethodA total of 8,626 patients with T2DM were included in the data analysis from the National Health and Nutrition Examination Surveys (NHANES) (1999-2018). The multiple linear regressions were used to examine the associations of ACR with HbA1c and SBP. Generalized additive models with smooth functions were performed to identify the non-linear relations between variables and interactions were also tested.ResultsSignificantly threshold effects were observed between ACR and HbA1c or SBP after multivariable adjustment, with the risk threshold values HbA1c = 6.4% and SBP = 127 mmHg, respectively. Once above thresholds were exceeded, the lnACR increased dramatically with higher levels of HbA1c (β = 0.23, 95 CI%:0.14, 0.32, P < 0.001) and SBP (β = 0.03, 95 CI%:0.03, 0.04, P < 0.001). Subgroup analysis showed high protein diet was related to higher ACR. In addition, a higher risk of ACR progression was observed in central obesity participants with HbA1C ≥ 6.4% or hyperuricemia participants with SBP ≥ 127 mmHg among patients withT2DM.ConclusionWe identified thresholds of HbA1c and SBP to stratify patients with T2DM through rapid albuminuria progression. These might provide a clinical reference value for preventing and controlling diabetes kidney disease.
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Affiliation(s)
- Jiahui Xu
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yan Xue
- Laboratory of Cellular Immunity, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qingguang Chen
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xu Han
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Mengjie Cai
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jing Tian
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shenyi Jin
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hao Lu
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Hao Lu,
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Wang J, Yen F, Lin K, Shin S, Hsu Y, Hsu C. Epidemiological characteristics of diabetic kidney disease in Taiwan. J Diabetes Investig 2021; 12:2112-2123. [PMID: 34529360 PMCID: PMC8668071 DOI: 10.1111/jdi.13668] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/02/2021] [Accepted: 09/12/2021] [Indexed: 12/17/2022] Open
Abstract
Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes. With the continuous increase in the prevalence of diabetes since 2000, the prevalence of DKD has also been increasing in past years. The prevalence of DKD among individuals with type 2 diabetes in Taiwan increased from 13.32% in 2000 to 17.92% in 2014. The cumulative incidence of DKD among individuals with type 1 diabetes in Taiwan was higher than 30% during 1999-2012. DKD is the leading cause of end-stage renal disease (ESRD), with a prevalence of approximately 45% in a population on chronic dialysis in Taiwan. Among individuals with type 2 diabetes, the prevalence of ESRD in the receipt of dialysis also increased from 1.32% in 2005 to 1.47% in 2014. Risk factors for DKD development are age, race, family history, hyperglycemia, hypertension, dyslipidemia, dietary patterns, and lifestyles. Prognostic factors that aggravate DKD progression include age, family history, sex, glycemic control, blood pressure (BP), microvascular complications, and atherosclerosis. This review summarizes updated information on the onset and progression of DKD, particularly in the Taiwanese population. Translating these epidemiological features is essential to optimizing the kidney care and improving the prognosis of DKD in Asian populations.
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Affiliation(s)
- Jun‐Sing Wang
- Division of Endocrinology and MetabolismDepartment of Internal MedicineTaichung Veterans General HospitalTaichungTaiwan
- Faculty of MedicineSchool of MedicineNational Yang‐Ming UniversityTaipeiTaiwan
- Rong Hsing Research Center for Translational MedicineInstitute of Biomedical ScienceNational Chung Hsing UniversityTaichungTaiwan
- PhD Program in Translational MedicineNational Chung Hsing UniversityTaichungTaiwan
| | | | - Kun‐Der Lin
- Department of Internal MedicineKaohsiung Municipal Ta‐Tung HospitalKaohsiung Medical University HospitalKaohsiung Medical UniversityKaohsiungTaiwan
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Medical University Hospital and College of MedicineKaohsiung Medical UniversityKaohsiungTaiwan
| | - Shyi‐Jang Shin
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Medical University Hospital and College of MedicineKaohsiung Medical UniversityKaohsiungTaiwan
- Grander ClinicKaohsiungTaiwan
| | - Yueh‐Han Hsu
- Department of Internal MedicineDitmanson Medical Foundation Chia‐Yi Christian HospitalChia‐Yi CityTaiwan
- Department of NursingMin‐Hwei College of Health Care ManagementTainan CityTaiwan
| | - Chih‐Cheng Hsu
- Institute of Population Health SciencesNational Health Research InstituteZhunan, MiaoliTaiwan
- Department of Health Services AdministrationChina Medical UniversityTaichung CityTaiwan
- Department of Family MedicineMin‐Sheng General HospitalTaoyuanTaiwan
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Osawa T, Fujihara K, Harada Yamada M, Yamamoto M, Kitazawa M, Matsubayashi Y, Iwanaga M, Yamada T, Seida H, Kodama S, Nakagawa Y, Shimano H, Sone H. Severity of hypertension as a predictor of initiation of dialysis among study participants with and without diabetes mellitus. J Investig Med 2021; 69:724-729. [PMID: 33443064 DOI: 10.1136/jim-2020-001489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2020] [Indexed: 11/04/2022]
Abstract
To determine associations between severity of hypertension and risk of starting dialysis in the presence or absence of diabetes mellitus (DM). A nationwide database with claims data on 258 874 people with and without DM aged 19-72 years in Japan was used to elucidate the impact of severity of hypertension on starting dialysis. Initiation of dialysis was determined from claims using International Classification of Diseases-10 codes and medical procedures. Using multivariate Cox modeling, we investigated the severity of hypertension to predict the initiation of dialysis with and without DM. Hypertension was significantly associated with the initiation of dialysis regardless of DM. The incidence of starting dialysis in those with systolic blood pressure (SBP) ≤119 mm Hg and DM (DM+) was almost the same as in those with SBP ≥150 mm Hg and absence of DM (DM-). In comparison with SBP ≤119 mm Hg, SBP ≥150 mm Hg significantly increased the risk of the initiation of dialysis about 2.5 times regardless of DM+ or DM-. Compared with DM- and SBP ≤119 mm Hg, the HR for DM+ and SBP ≥150 mm Hg was 6.88 (95% CI 3.66 to 12.9). Although the risks of hypertension differed only slightly regardless of the presence or absence of DM, risks for starting dialysis with DM+ and SBP ≤119 mm Hg were equivalent to DM- and SBP ≥150 mm Hg, indicating more strict blood pressure interventions in DM+ are needed to avoid dialysis. Future studies are required to clarify the cut-off SBP level to avoid initiation of dialysis considering the risks of strict control of blood pressure.
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Affiliation(s)
- Taeko Osawa
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Kazuya Fujihara
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Mayuko Harada Yamada
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Masahiko Yamamoto
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Masaru Kitazawa
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Yasuhiro Matsubayashi
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Midori Iwanaga
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Takaho Yamada
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | | | - Satoru Kodama
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Yoshimi Nakagawa
- Department of Internal Medicine, University of Tsukuba School of Medicine, Tsukuba, Japan
| | - Hitoshi Shimano
- Department of Internal Medicine, University of Tsukuba School of Medicine, Tsukuba, Japan
| | - Hirohito Sone
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
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Jiang W, Wang J, Shen X, Lu W, Wang Y, Li W, Gao Z, Xu J, Li X, Liu R, Zheng M, Chang B, Li J, Yang J, Chang B. Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts. Diabetes Care 2020; 43:925-933. [PMID: 32198286 DOI: 10.2337/dc19-1897] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 12/27/2019] [Indexed: 02/03/2023]
Abstract
BACKGROUND Identifying patients at high risk of diabetic kidney disease (DKD) helps improve clinical outcome. PURPOSE To establish a model for predicting DKD. DATA SOURCES The derivation cohort was from a meta-analysis. The validation cohort was from a Chinese cohort. STUDY SELECTION Cohort studies that reported risk factors of DKD with their corresponding risk ratios (RRs) in patients with type 2 diabetes were selected. All patients had estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 and urinary albumin-to-creatinine ratio (UACR) <30 mg/g at baseline. DATA EXTRACTION Risk factors and their corresponding RRs were extracted. Only risk factors with statistical significance were included in our DKD risk prediction model. DATA SYNTHESIS Twenty cohorts including 41,271 patients with type 2 diabetes were included in our meta-analysis. Age, BMI, smoking, diabetic retinopathy, hemoglobin A1c, systolic blood pressure, HDL cholesterol, triglycerides, UACR, and eGFR were statistically significant. All these risk factors were included in the model except eGFR because of the significant heterogeneity among studies. All risk factors were scored according to their weightings, and the highest score was 37.0. The model was validated in an external cohort with a median follow-up of 2.9 years. A cutoff value of 16 was selected with a sensitivity of 0.847 and a specificity of 0.677. LIMITATIONS There was huge heterogeneity among studies involving eGFR. More evidence is needed to power it as a risk factor of DKD. CONCLUSIONS The DKD risk prediction model consisting of nine risk factors established in this study is a simple tool for detecting patients at high risk of DKD.
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Affiliation(s)
- Wenhui Jiang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiaofang Shen
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Wenli Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Wen Li
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhongai Gao
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiaochen Li
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Ran Liu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Miaoyan Zheng
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Bai Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jing Li
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
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Osawa T, Fujihara K, Harada M, Yamamoto M, Ishizawa M, Suzuki H, Ishiguro H, Matsubayashi Y, Seida H, Yamanaka N, Tanaka S, Shimano H, Kodama S, Sone H. Higher pulse pressure predicts initiation of dialysis in Japanese patients with diabetes. Diabetes Metab Res Rev 2019; 35:e3120. [PMID: 30578707 DOI: 10.1002/dmrr.3120] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 11/21/2018] [Accepted: 12/18/2018] [Indexed: 11/10/2022]
Abstract
AIMS To determine incidence and predictors of starting dialysis in patients with diabetes emphasizing blood pressure variables. METHODS A nationwide database with claim data on 18 935 people (15 789 men and 3146 women) with diabetes mellitus aged 19 to 72 years in Japan was used to elucidate predictors for starting dialysis. Initiation of dialysis was determined from claims using ICD-10 codes and medical procedures. Using multivariate Cox modelling, interactions between glycaemic and blood pressure values were determined. RESULTS During a median follow-up of 5.3 years, incidence of dialysis was 0.81 per 1000 person-years. Multivariate analysis of a model involving systolic and diastolic blood pressure (SBP and DBP) simultaneously as covariates showed that hazard ratios (HRs) for starting dialysis for each 1-SD elevation in SBP and DBP were 2.05 (95% confidence interval 1.58-2.64) and 0.66 (0.50-0.88), respectively, implying that pulse pressure (PP) was a promising predictor. For confirmation, a model involving SBP and PP simultaneously as covariates demonstrated that HRs for each 1-SD elevation in SBP and PP were 1.09 (0.81-1.48) and 1.54 (1.14-2.08), respectively, with PP the more potent predictor. Compared with HbA1c <8% and PP <60 mmHg, the HR for those with HbA1c ≥8% and PP ≥60 mmHg was 6.32 (3.42-11.7). CONCLUSIONS In our historical cohort analysis, SBP and PP were independent predictors for starting dialysis. PP was the more potent, suggesting the contribution of increased arterial stiffness to the incidence of dialysis. Future studies are needed to conclude the independent influence of PP and HbA1c on dialysis considering other risk factors.
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Affiliation(s)
- Taeko Osawa
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Kazuya Fujihara
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Mayuko Harada
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Masahiko Yamamoto
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Masahiro Ishizawa
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Hiroshi Suzuki
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Hajime Ishiguro
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Yasuhiro Matsubayashi
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | | | | | - Shiro Tanaka
- Department of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hitoshi Shimano
- Department of Internal Medicine, University of Tsukuba School of Medicine, Tsukuba, Japan
| | - Satoru Kodama
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Hirohito Sone
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
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The modifying effect of kidney function on the association of cadmium exposure with blood pressure and cardiovascular mortality: NHANES 1999–2010. Toxicol Appl Pharmacol 2018; 353:15-22. [DOI: 10.1016/j.taap.2018.05.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 05/10/2018] [Accepted: 05/25/2018] [Indexed: 11/17/2022]
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Sonthon P, Promthet S, Changsirikulchai S, Rangsin R, Thinkhamrop B, Rattanamongkolgul S, Hurst CP. The impact of the quality of care and other factors on progression of chronic kidney disease in Thai patients with Type 2 Diabetes Mellitus: A nationwide cohort study. PLoS One 2017; 12:e0180977. [PMID: 28753611 PMCID: PMC5533425 DOI: 10.1371/journal.pone.0180977] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 06/24/2017] [Indexed: 01/29/2023] Open
Abstract
Objective The present study investigates the impact of quality of care (QoC) and other factors on chronic kidney disease (CKD) stage progression among Type 2 Diabetes Mellitus (T2DM) patients. Methods This study employed a retrospective cohort from a nationwide Diabetes and Hypertension study involving 595 Thai hospitals. T2DM patients who were observed at least 2 times in the 3 years follow-up (between 2011–2013) were included in our study. Ordinal logistic mixed effect regression modeling was used to investigate the association between the QoC and other factors with CKD stage progression. Results After adjusting for covariates, we found that the achievement of the HbA1c clinical targets (≤7%) was the only QoC indicator protective against the CKD stage progression (adjusted OR = 0.76; 95%CI = 0.59–0.98; p<0.05). In terms of other covariates, age, occupation, type of health insurance, region of residence, HDL-C, triglyceride, hypertension and insulin sensitizer were also strongly associated with CKD stage progression. Conclusions This cohort study demonstrates the achievement of the HbA1c clinical target (≤7%) is the only QoC indicator protective against progression of CKD stage. Neither of the other clinical targets (BP and LDL-C) nor any process of care targets could be shown to be associated with CKD stage progression. Therefore, close monitoring of blood sugar control is important to slow CKD progression, but long-term prospective cohorts are needed to gain better insights into the impact of QoC indicators on CKD progression.
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Affiliation(s)
- Paithoon Sonthon
- Doctor of Public Health Program, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand
- Phetchabun Provincial Public Health Office, Ministry of Public Health, Phetchabun, Thailand
| | | | | | - Ram Rangsin
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
| | | | | | - Cameron P. Hurst
- Center of Excellence in Biostatistics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- * E-mail:
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