Medicine (RMH) - Research Publications
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ItemIncidence of chronic kidney disease among people with diabetes: a systematic review of observational studies(WILEY, 2017-07)AIMS: The aim was to systematically review published articles that reported the incidence of chronic kidney disease among people with diabetes. METHODS: A systematic literature search was performed using MEDLINE, Embase and CINAHL databases. The titles and abstracts of all publications identified by the search were reviewed and 10 047 studies were retrieved. RESULTS: A total of 71 studies from 30 different countries with sample sizes ranging from 505 to 211 132 met the inclusion criteria. The annual incidence of microalbuminuria and albuminuria ranged from 1.3% to 3.8% for Type 1 diabetes. For Type 2 diabetes and studies combining both diabetes types, the range was from 3.8% to 12.7%, with four of six studies reporting annual rates between 7.4% and 8.6%. In studies reporting the incidence of eGFR < 60 ml/min/1.73 m2 using the Modification of Diet on Renal Disease (MDRD) equation, apart from one study which reported an annual incidence of 8.9%, the annual incidence ranged from 1.9% to 4.3%. The annual incidence of end-stage renal disease ranged from 0.04% to 1.8%. CONCLUSIONS: The annual incidence of microalbuminuria and albuminuria is ~ 2-3% in Type 1 diabetes, and ~ 8% in Type 2 diabetes or mixed diabetes type. The incidence of developing eGFR < 60 ml/min/1.73 m2 is ~ 2-4% per year. Despite the wide variation in methods and study design, within a particular category of kidney disease, there was only modest variation in incidence rates. These findings may be useful in clinical settings to help understand the risk of developing kidney disease among those with diabetes.
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ItemAssociation between type 2 diabetes mellitus and disability: What is the contribution of diabetes risk factors and diabetes complications?(WILEY, 2018-09)BACKGROUND: The aim of this study was to evaluate the association between type 2 diabetes and disability in Mauritius and to assess the extent to which the effect of diabetes is explained by diabetes risk factors and concomitant complications. METHODS: Data from a national survey in the multiethnic nation of Mauritius, which comprises South Asians and African Creoles, were analyzed. Disability was measured using the Katz activities of daily living questionnaire in participants aged >50 years. RESULTS: Among 3692 participants, 487 (13.2%) had some level of disability. Diabetes was associated with significantly higher risk of disability (odds ratio [OR] 1.67; 95% confidence interval [CI] 1.34-2.08). After adjusting for demographic, behavioral, and metabolic factors, as well as comorbidities, disability was significantly associated with diabetes among African Creoles (OR 2.03; 95% CI 1.16-3.56), but not South Asians (OR 1.27; 95% CI 0.98-1.66). Obesity explained much of the association between diabetes and disability (excess percentage of risk: 26.3% in South Asians and 12.1% in African Creoles). Obesity, history of cardiovascular disease (CVD), asthma-like symptoms, and depression together explained 46.5% and 29.0% of the excess risk in South Asians and African Creoles, respectively. CONCLUSIONS: Diabetes is associated with a 67% increased risk of disability. Diabetes risk factors and comorbidities explain more of the association between diabetes and disability among South Asians than Africans. Obesity and history of CVD explained the largest percentage of the relationship between diabetes and disability, indicating that weight and CVD management may be helpful in controlling disability related to diabetes.
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ItemDiabetes Prevention and Treatment Strategies: Are we doing enough?(AMER DIABETES ASSOC, 2013-09)OBJECTIVE: Effective interventions to prevent, delay, or remit diabetes are currently available. However, their impact on the prevalence of diabetes at the population level is unknown. This study aimed to estimate the impact of a range of diabetes interventions on the population prevalence of diabetes for Australian adults between 2010 and 2025. RESEARCH DESIGN AND METHODS: We used the Australian Diabetes Projection Model to estimate the impact of a population-wide strategy, high-risk prevention, surgical diabetes treatment, and a combination strategy on the future population prevalence of diabetes and to estimate the number of diabetes cases that could be potentially prevented in the year 2025. RESULTS: We estimate that a population-wide strategy would reduce the number of diabetes cases by 60,000-85,000 in 2025 from an estimated 2 million cases under the status quo scenario. A high-risk prevention strategy would result in 106,000 to 150,000 fewer cases of diabetes in 2025, and surgically induced weight loss would result in 3,000-6,000 fewer cases. No single intervention, or combination of interventions, reversed the increasing trend in diabetes prevalence over the next 15 years. CONCLUSIONS: To reverse upward trends in diabetes prevalence in future years, it is essential that current approaches to diabetes prevention and treatment are optimized and implemented and that alternative approaches to reduce the prevalence of diabetes at a population level are developed.