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Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

ABSTRACT: People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.

SUBMITTER: Ooi YG

PROVIDER: S-EPMC10995482 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

Ooi Ying-Guat YG Sarvanandan Tharsini T Hee Nicholas Ken Yoong NKY Lim Quan-Hziung QH Paramasivam Sharmila S SS Ratnasingam Jeyakantha J Vethakkan Shireene R SR Lim Soo-Kun SK Lim Lee-Ling LL

Diabetes & metabolism journal 20240126 2

People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given ...[more]

PMID: 38273788

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Project description:Type 1 diabetes mellitus (T1DM) patients are a significant threat to chronic kidney disease (CKD) development during their life. However, there is always a high chance of delay in CKD detection because CKD can be asymptomatic, and T1DM patients bypass traditional CKD tests during their routine checkups. This study aims to develop and validate a prediction model and nomogram of CKD in T1DM patients using readily available routine checkup data for early CKD detection. This research utilized 1375 T1DM patients' sixteen years of longitudinal data from multi-center Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials conducted at 28 sites in the USA and Canada and considered 17 routinely available features. Three feature ranking algorithms, extreme gradient boosting (XGB), random forest (RF), and extremely randomized trees classifier (ERT), were applied to create three feature ranking lists, and logistic regression analyses were performed to develop CKD prediction models using these ranked feature lists to identify the best performing top-ranked features combination. Finally, the most significant features were selected to develop a multivariate logistic regression-based CKD prediction model for T1DM patients. This model was evaluated using sensitivity, specificity, accuracy, precision, and F1 score on train and test data. A nomogram of the final model was further generated for easy application in clinical practices. Hypertension, duration of diabetes, drinking habit, triglycerides, ACE inhibitors, low-density lipoprotein (LDL) cholesterol, age, and smoking habit were the top-8 features ranked by the XGB model and identified as the most important features for predicting CKD in T1DM patients. These eight features were selected to develop the final prediction model using multivariate logistic regression, which showed 90.04% and 88.59% accuracy in internal and test data validation. The proposed model showed excellent performance and can be used for CKD identification in T1DM patients during routine checkups.

Project description:ObjectivesPeople with diabetes are at high risk of polypharmacy owing to complex treatment of diabetes and comorbidities. Polypharmacy is associated with increased risk of adverse reactions and decreased compliance. Therefore, the objectives of this study were to assess polypharmacy in people with type 2 diabetes (T2D) and associated diabetes-related factors in rural areas in Vietnam.MethodPeople with T2D (n = 806) who had received treatment for diabetes at a district hospital were invited to participate in a questionnaire-based cross-sectional survey. Polypharmacy was defined as ≥5 types of medicine and assessed as a) prescription medicine and non-prescription/over the counter (OTC) medicine and b) prescription medicine and non-prescription/OTC, herbal and traditional medicine, and dietary supplement. Multiple logistic regression was used to investigate the association between polypharmacy and diabetes specific factors: duration, comorbidities and diabetes-related distress.ResultsOf the people with T2D, 7.8% had a medicine use corresponding to polypharmacy (prescription medicine and non-prescription/OTC), and 40.8% when herbal and traditional medicine, and dietary supplement were included. Mean number of medicine intake (all types of medicines and supplements) were 3.8±1.5. The odd ratios (ORs) of polypharmacy (medicine and supplements) increased with diabetes duration (<1-5 years OR = 1.66; 95%CI: 1.09-2.53 and >5 years OR = 1.74; 95%CI: 1.14-2.64 as compared to ≤1-year duration of diabetes), number of comorbidities (1-2 comorbidities: OR = 2.0; 95%CI: 1.18-3.42; ≥3 comorbidities: OR = 2.63;95%CI: 1.50-4.61 as compared to no comorbidities), and suffering from diabetes-related distress (OR = 1.49; 95%CI: 1.11-2.01) as compared to those without distress.ConclusionsIn rural northern Vietnam, persons with longer duration of T2D, higher number of comorbidities and diabetes-related stress have higher odds of having a medicine use corresponding to polypharmacy. A high proportion of people with T2D supplement their prescription, non-prescription/OTC medicine with herbal and traditional medicine and dietary supplements.

Project description:BackgroundHeart failure (HF) together with type 2 diabetes (T2D) and chronic kidney disease (CKD) are major pandemics of the twenty first century. It is not known in people with new onset HF, what the distinct and combined associations are between T2D and CKD comorbidities and cause-specific hospital admissions and death, over the past 20 years.MethodsAn observational study using the UK Clinical Practice Research Datalink linked to the Hospital Episode Statistics in England (1998-2017). Participants were people aged ≥30 years with new onset HF. Exposure groups were HF with: (i) no T2D and no CKD (reference group); (ii) CKD-only (estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2); (iii) T2D-only; (iv) T2D and CKD. CKD severity groups were: CKD-3a (eGFR 45-59); CKD-3b (30-44); CKD-4 (15-29); CKD-5 (<15). Outcomes were cardiovascular and non-cardiovascular hospitalisations and all-cause death.FindingsIn 87,709 HF patients (mean age, 78 years; 49% female), 40% had CKD-only, 12% T2D-only, and 16% both. Age-standardised first-year CVD hospitalisation rates were significantly higher in HF patients with CKD-only (46.4; 95% CI 44.9,47.9 per 100 person years) and T2D-only (49.2; 46.7,58.8) than in the reference group (35.1; 34.0,36.1); the highest rate was in patients with T2D-CKD-5: 89.1 (65.8,112.4). Similar patterns were observed for non-CVD hospitalisations and deaths. Group differences remained significant after adjustment for potential confounders. Median survival was highest in the reference (4.4 years) and HF-T2D-only (4.1 years) groups, compared to HF-CKD-only (2.2 years). HF-T2D-CKD group survival ranged from 2.8 (CKD-3a) to 0.7 years (CKD-5). Over time, CVD hospitalisation rates significantly increased for HF-CKD-only (+26%) and reduced (-24%) for HF-T2D-only groups; no reductions were observed in any of the HF-T2D-CKD groups. Trends were similar for non-CVD hospitalisations and death: whilst death rates significantly reduced for HF-T2D-only (-37%), improvement was not observed in any of the T2D-CKD groups.InterpretationIn a cohort of people with new onset HF, hospitalisations and deaths are high in patients with T2D or CKD, and worst in those with both comorbidities. Whilst outcomes have improved over time for patients with HF and comorbid T2D, similar trends were not seen in those with comorbid CKD. Strategies to prevent and manage CKD in people with HF are urgently needed.FundingNIHR fellowship [reference: NIHR 30011].

Project description:BackgroundThe availability and accessibility of patient-centered weight management programs is critical to mitigate the increasing prevalence of obesity in people living with chronic kidney disease (CKD). Little is known about the availability of contemporary programs that can safely and effectively support individuals living with obesity and CKD across North America.ObjectiveWe sought to identify weight management programs specific to those with CKD and explore their safety, affordability, and adaptability to this patient population. We also identified the barriers and facilitators of identified programming including their accessibility to real-world patients (eg, cost, access, support, and time).DesignEnvironmental scan of weight management programs.SettingNorth America.PatientPeople living with CKD.MethodsWe identified weight management programs and associated barriers and facilitators, via an Internet-based search of commercial, community-based, and medically supervised weight management programming. We also conducted a gray literature search and contacted weight management experts and program facilitators to explore strategies as well as their barriers and facilitators.ResultsWe identified 40 weight management programs available to people living with CKD across North America. Programs were commercial (n = 7), community-based (n = 9), and medically supervised (Canada n = 13, U.S n = 8) in origin. Three programs were specifically tailored to CKD (n = 3). In addition to formal programs, we also identified online nutritional resources and guidelines for weight loss in CKD (n = 8), and additional strategies (self-management tools, group orientated programs, moderate energy restrictions in conjunction with exercise and Orlistat) for weight loss from the gray literature (n = 3). Most common barriers were difficulty accessing some of the suggested nutritious food options due to the high cost, lack of support from family, friends and health practitioners, the time commitment required to participate, and the exclusion from weight management programs due to unique dietary needs for the CKD population. Most common facilitators were programs that were patient-centered, evidence-based, and offered both group and individual formats.LimitationsAlthough our search criteria were broad, it is possible that we did not capture all weight management programs available across North America.ConclusionsThis environmental scan has generated a resource list of existing safe and effective programs for or adaptable to people with CKD. This information will inform future efforts to develop and deliver CKD-specific weight management programs to patients living with comorbid disease. Engaging people living with CKD to understand the acceptability of these programs, is an important focus for future research.

Project description:IntroductionDiabetes mellitus is a complex disease that affects many organ systems, leading to concerns about deteriorating population health status and ever-increasing healthcare expenditure. Many people with diabetes do not achieve optimal glycaemic control and other metabolic indices, leading to a heightened risk of developing complications. Adequate knowledge of diabetes complications is a prerequisite for risk-factor reduction and prevention of the consequences of the disease. Therefore, this study aimed to evaluate the knowledge of chronic complications of diabetes among persons living with type 2 diabetes mellitus in northern Ghana.MethodA descriptive cross-sectional study was conducted among 320 patients with type 2 diabetes mellitus in northern Ghana. The consecutive sampling technique was employed to recruit participants from September to November 2018. Data analysis was performed using IBM statistical package for social science version 23. Descriptive statistics such as frequencies and percentages were used. Both bivariate and multivariate logistic regression analysis were employed to determine associations between knowledge of diabetes complications and demographic/clinical characteristics of participants, at 95% confidence interval with statistical significance at P<0.05.ResultsThe majority of participants (54.1%) had inadequate knowledge and 45.9% had adequate knowledge of diabetes complications. The factors associated with inadequate level of knowledge were female gender [AOR = 0.29 (95%CI: 0.14-0.56), p<0.001], older age [AOR = 0.45 (95%CI:0.20-0.99), p = 0.049], primary education [AOR = 0.13 (95%CI: 0.03-0.51), p = 0.004], no formal education [AOR = 0.16 (95%CI: 0.05-0.50), p = 0.002], rural dwellers [AOR = 0.50 (95%CI: 0.27-0.95), p = 0.033] and unknown family history diabetes [AOR = 0.38 (95%CI: 0.17-0.82), p = 0.014].ConclusionMore than half of the studied population had inadequate knowledge of diabetes complications. Female gender, rural dwellers, and low education level were factors positively associated with inadequate knowledge of diabetes complications. A multisectoral approach is needed, where the government of Ghana together with other sectors of the economy such as the health, education and local government sectors work collaboratively in the development of locally tailored diabetes education programmes to promote healthy self-care behaviours relevant for the prevention of diabetes and its complications.

Dataset Information

Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

Publications

Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

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