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Borderie G, Foussard N, Larroumet A, Blanco L, Domenge F, Mohammedi K, Ducasse E, Caradu C, Rigalleau V. Albuminuric diabetic kidney disease predicts foot ulcers in type 2 diabetes. J Diabetes Complications 2023; 37:108403. [PMID: 36641879 DOI: 10.1016/j.jdiacomp.2023.108403] [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: 04/11/2022] [Revised: 06/24/2022] [Accepted: 01/04/2023] [Indexed: 01/09/2023]
Abstract
Diabetic Foot Ulcers (DFU) are feared among individuals with diabetic kidney disease (DKD), but it is unclear whether they are more frequent, especially in normoalbuminuric DKD. Five hundred and twenty patients admitted in our diabetology ward from 2007 to 2017 were followed up during 54 ± 26 months. New DFUs were registered, and their relationship with the initial renal status was analyzed by LogRank and multivariate Cox regression analysis. The 520 subjects were mainly men (57.9 %), 62 ± 9 years old, with a duration of diabetes of 14 ± 10 years, HbA1c: 8.7 ± 1.8 % (72 ± 19 mmol/mol), and complications: 33.7 % macroangiopathies, 22.1 % previous foot ulcers, 44.8 % DKD, 26.9 % retinopathies. Fifty-seven new DFU occurred, mainly in subjects with DKD. DKD was related to later DFU (HR: 1.79; 95%CI: 1.05-3.07), this relationship stayed significant adjusted for age, gender, and a history of previous DFU (HR: 3.61; 95%CI: 2.11-6.18), and further adjusted for the duration of diabetes, HbA1c, BMI, arterial hypertension, and dyslipidemia. Among the 233 subjects with DKD, 129 (55.3 %) had an isolated AER > 30 mg/24H, 41 (17.6 %) had an isolated eGFR<60 mL/min/1.73 m2, and 63 (27.0 %) cumulated both abnormalities. By Cox regression analysis adjusted for age and gender, albuminuric DKDs were related to later DFU: with eGFR≥60: HR: 1.91; 95%CI: 1.02-3.59, with eGFR<60: HR: 2.53; 95%CI: 1.25-5.10, whereas normoalbuminuric DKD was not: HR: 1.04; 95%CI: 0.35-3.07, despite similar rates of neuropathies, peripheral arterial diseases, and retinopathies. In people with type 2 diabetes, albuminuric DKD was associated with two to three folds increased risk of DFUs, whereas normoalbuminuric DKD was not.
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Affiliation(s)
- Gauthier Borderie
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Ninon Foussard
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Alice Larroumet
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Laurence Blanco
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Frédéric Domenge
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Kamel Mohammedi
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Eric Ducasse
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Caroline Caradu
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France
| | - Vincent Rigalleau
- Bordeaux CHU and University, Endocrinology-Diabetology-Nutrition and Vascular Surgery, 33000 Bordeaux, France.
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Wu X, Du J, Li L, Cao W, Sun S. Bayesian Age-Period-Cohort Prediction of Mortality of Type 2 Diabetic Kidney Disease in China: A Modeling Study. Front Endocrinol (Lausanne) 2021; 12:767263. [PMID: 34777260 PMCID: PMC8586507 DOI: 10.3389/fendo.2021.767263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/06/2021] [Indexed: 01/04/2023] Open
Abstract
Background The burden of type 2 diabetic kidney disease (DKD) continues to rise in China. We analyzed time trends in DKD mortality and associations with age, period, and birth cohort from 1990 to 2019, made projections up to 2030, and examined the drivers of deaths from DKD. Methods and Findings The number of DKD deaths in China from 1990 to 2019 was obtained from the GBD 2019. We used age-period-cohort modeling to estimate age, period, and cohort effects in DKD mortality between 1990 and 2019. We calculated net drift (overall annual percentage change), local drift (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rates), period, and cohort relative risks. We used Bayesian age-period-cohort analysis with integrated nested Laplace approximations to project future age-specific DKD death cases from 2020 to 2030. We used a validated decomposition algorithm to attribute changes in DKD deaths to population growth, population aging, and epidemiologic changes from 1990 to 2030. From 1990 to 2019, the age-standardized mortality rate of DKD in China was relatively stable, but the absolute number of DKD deaths showed a noticeable increasing trend. The overall annual percentage change (net drift) was -0.75% (95% confidence interval, CI: -0.93 to -0.57) for males and -1.90% (95% CI, -2.19 to -1.62) for females. The age-specific annual percentage changes (local drifts) were below zero in all age groups from 1990 to 2019 except for males aged above 65 to 69 years, and for females aged above 70 to 74 years. The risk of DKD deaths increased exponentially with age for both sexes after controlling for period deviations. The Bayesian age-period-cohort analysis projects that there would be 88,803 deaths from DKD in 2030, increased by 224.2% from 1990. Despite a decrease in age-specific DKD death rates, the reduction would be entirely offset by population aging. Conclusions Although China has made progress in reducing DKD deaths, demographic changes have entirely offset the progress. The burden of DKD deaths is likely to continue increasing. Our findings suggest that large-scale screening is imperative for DKD control and prevention, particularly for high-risk groups.
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Affiliation(s)
- Xiaoming Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Jianqiang Du
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Linchang Li
- Department of Clinical Medicine, Second Clinical School of Medicine, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Wangnan Cao
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, RI, United States
| | - Shengzhi Sun
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States
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Liu X, Chu H, Zhao J, Qiao R, Liu Y, Li N, Zeng L, Wang X, Tao L, Zhang H, Shi Y, Zhuo L, Zhang L, Zhao Y. Exploring the barriers of patients with diabetic foot complications in China: a qualitative interview study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:792. [PMID: 34268405 PMCID: PMC8246227 DOI: 10.21037/atm-20-7569] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 02/10/2021] [Indexed: 01/13/2023]
Abstract
Background Patients with diabetic foot complications are associated with high rates of morbidity, disability, and mortality. Through findings of qualitative interviews with patients with this disease, we aimed to explore the barriers they encountered, provide evidence to improve the efficacy of medical services, discuss prevention and treatment strategies for future policymakers, and attract widespread attention from the Chinese society. Methods Patients with diabetic foot complications were recruited from three tertiary hospitals in China between July to September 2020. Patients were included who had a clinical diagnosis of diabetic foot complications, were 18 years or older, spoke Chinese as their first language, and were willing to share treatment experiences. An interview guide was used during the in-person semi-structured interviews that lasted 20 to 50 minutes and were audio-recorded. Transcripts were analyzed for qualitative themes. Results Forty-one patients (range, 38-79 years; 12 men, 29 women) were recruited. Data analysis indicated five thematic dimensions on barriers encountered by patients with diabetic foot complications: hospital visits, doctor-patient communication, mental burden, economic burden, and social support. Conclusions Patients with diabetic foot complications face serious financial, mental, and social burdens in China. Future studies can use the five dimensions to help solve the existing problems and improve treatment outcomes of this patient population.
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Affiliation(s)
- Xiaoli Liu
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Hongling Chu
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Jinghui Zhao
- Department of Interventional Radiology and Vascular Surgery, Wound Healing Center, Peking University Third Hospital, Beijing, China
| | - Rui Qiao
- Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China
| | - Yuqiang Liu
- Department of Pharmacy, Changzhi People's Hospital, Changzhi, China
| | - Nan Li
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Lin Zeng
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Xiaoxiao Wang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Liyuan Tao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Hua Zhang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Yanyan Shi
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Lin Zhuo
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Long Zhang
- Department of Interventional Radiology and Vascular Surgery, Wound Healing Center, Peking University Third Hospital, Beijing, China
| | - Yiming Zhao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
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