Long-term effectiveness of a community-based model of care in Māori and Pacific patients with type 2 diabetes and chronic kidney disease: a 4-year follow up of the DElay Future End Stage Nephropathy due to Diabetes (DEFEND) study

2015 ◽  
Vol 45 (8) ◽  
pp. 843-849 ◽  
Author(s):  
J. Tan ◽  
P. Manley ◽  
G. Gamble ◽  
J. Collins ◽  
W. Bagg ◽  
...  
2020 ◽  
Author(s):  
Csaba P Kovesdy ◽  
Danielle Isaman ◽  
Natalia Petruski-Ivleva ◽  
Linda Fried ◽  
Michael Blankenburg ◽  
...  

Abstract Background Chronic kidney disease (CKD), one of the most common complications of type 2 diabetes (T2D), is associated with poor health outcomes and high healthcare expenditures. As the CKD population increases, a better understanding of the prevalence and progression of CKD is critical. However, few contemporary studies have explored the progression of CKD relative to its onset in T2D patients using established markers derived from real-world care settings. Methods This retrospective, population-based cohort study assessed CKD progression among adults with T2D and with newly recognized CKD identified from US administrative claims data between 1 January 2008 and 30 September 2018. Included were patients with T2D and laboratory evidence of CKD as indicated by the established estimated glomerular filtration rate (eGFR) and urine albumin:creatinine ratio (UACR) criteria. Disease progression was described as transitions across the eGFR- and UACR-based stages. Results A total of 65 731 and 23 035 patients with T2D contributed to the analysis of eGFR- and UACR-based CKD stage progression, respectively. CKD worsening was observed in approximately 10–17% of patients over a median follow-up of 2 years. Approximately one-third of patients experienced an increase in eGFR values or a decrease in UACR values during follow-up. Conclusions A relatively high proportion of patients were observed with disease progression over a short period of time, highlighting the need for better identification of patients at risk of rapidly progressive CKD. Future studies are needed to determine the clinical characteristics of these patients to inform earlier diagnostic and therapeutic interventions aimed at slowing disease progression.


2020 ◽  
Author(s):  
Jedidiah I Morton ◽  
Danny Liew ◽  
Stephen P McDonald ◽  
Jonathan E Shaw ◽  
Dianna J Magliano

<b>Objective</b>: The long-term risk of end-stage kidney disease (ESKD) in type 2 diabetes is poorly described, as is the effect that younger age of diabetes onset has on this risk. Therefore, we aimed to estimate the effect of age of onset on the cumulative incidence of ESKD from onset of type 2 diabetes. <p><b>Research Design and Methods: </b>This study included 1,113,201 people with type 2 diabetes registered on the Australian National Diabetes Services Scheme (NDSS) followed from 2002 until 2013. The NDSS was linked to the Australia and New Zealand Dialysis and Transplant Registry and the Australian National Death Index. </p> <p><b>Results: </b>Between 2002 and 2013,<b> </b>there were 7,592 incident cases of ESKD during 7,839,075 person-years of follow up. In the first 10-15 years following onset of diabetes, the incidence of ESKD was highest in those with an older age of onset of diabetes, whereas over longer durations of diabetes the incidence of ESKD became higher in those with younger-onset diabetes. After 40 years of diabetes, the cumulative incidence of ESKD was 11.8% and 9.3% in those diagnosed with diabetes aged 10-29 and 30-39 years, respectively. When death from ESKD without renal replacement therapy was included, incidence of ESKD remained higher in older onset diabetes for the initial 20 years, with no clear effect of age thereafter.</p> <p><b>Conclusions: </b>The long-term risk of ESKD in type 2 diabetes is high, which disproportionately affects those with younger-onset of diabetes as they are more likely to survive to longer diabetes durations.</p>


Diabetes Care ◽  
2016 ◽  
Vol 39 (11) ◽  
pp. 2004-2010 ◽  
Author(s):  
Stephanie K. Tanamas ◽  
Pierre-Jean Saulnier ◽  
Gudeta D. Fufaa ◽  
Kevin M. Wheelock ◽  
E. Jennifer Weil ◽  
...  

Author(s):  
Xia Cao ◽  
Binfang Yang ◽  
Jiansong Zhou

Abstract Purpose As health screening continues to increase in China, there is an opportunity to integrate a large number of demographic as well as subjective and objective clinical data into risk prediction modeling. The aim of this study was to develop and validate a prediction model for chronic kidney disease (CKD) in Chinese health screening examinees with type 2 diabetes mellitus (T2DM). Methods We conducted a retrospective cohort study consisting of 2051 Chinese T2DM patients between 35 and 78 years old who were enrolled in the XY3CKD Follow-up Program between 2009 and 2010. All participants were randomly assigned into a derivation set or a validation set at a 2:1 ratio. Cox proportional hazards regression model was selected for the analysis of risk factors for the development of the proposed risk model of CKD. We established a prediction model with a scoring system following the steps proposed by the Framingham Heart Study. Results The mean follow-up was 8.52 years, with a total of 315 (23.20%) and 189 (27.27%) incident CKD cases in the derivation set and validation set, respectively. We identified the following risk factors: age, gender, body mass index, duration of type 2 diabetes, variation of fasting blood glucose, stroke, and hypertension. The points were summed to obtain individual scores (from 0 to 15). The areas under the curve of 3-, 5- and 10-year CKD risks were 0.843, 0.799 and 0.780 in the derivation set and 0.871, 0.803 and 0.785 in the validation set, respectively. Conclusions The proposed scoring system is a promising tool for further application of assisting Chinese medical staff for early prevention of T2DM complications among health screening examinees.


2019 ◽  
Author(s):  
Frederick C. F. Otieno ◽  
Elijah N Ogola ◽  
Mercy W Kimando ◽  
Ken K Mutai

Abstract Background: Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances the cardiovascular risk profiles and disease, and is a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that would optimize outcomes including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a high prevalence of type 2 diabetes. It was aimed at finding out the burden of undiagnosed chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes who dwell mainly in the rural area. Methods: A cross-sectional study was conducted at the out-patient of Nyeri County hospital. A total of 385 patients were enrolled over five months. Informed consent was obtained and clinical evaluation was done, a spot sample of urine obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Main outcomes measure: Estimated Glomerular filtration rate and albuminuria as markers of chronic kidney disease. Results: A total of 385 participants were included in the study, 252 (65.5%) were females. There were 39.0 % (95%CI 34.3-44.2) patients in CKD/KDIGO stages 3, 4 and 5 and 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age >50years, long duration with diabetes >5years and hypertension. Employment and paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. Conclusion: Unrecognized CKD of KDIGO stages 3,4 and 5 occurred in over thirty percent of the study patients. The risk factors of hypertension, age above 50, long duration of diabetes should help identify those at high risk of developing CKD, for screening and linkage to care. They are at high risk of progression to end-stage kidney disease and cardiovascular events. The imperative of screening for chronic kidney disease is availing care in publicly-funded hospitals.


2020 ◽  
Author(s):  
Frederick C. F. Otieno ◽  
Elijah N Ogola ◽  
Mercy W Kimando ◽  
Ken K Mutai

Abstract Background : Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances their cardiovascular risk and diseases, and a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that optimizes outcomes, including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a high prevalence of type 2 diabetes. It was aimed at finding out the burden of undiagnosed chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes who dwell mainly in the rural area. Methods : A cross-sectional study was conducted at the out-patient of Nyeri County hospital where 385 patients were enrolled over five months. Informed consent was obtained and clinical evaluation was done. A spot sample of urine was obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Main outcomes measure: Estimated Glomerular filtration rate and albuminuria as markers of chronic kidney disease. Results : A total of 385 participants were included in the study, 252 (65.5%) were females. There were 39.0 % (95%CI 34.3-44.2) patients in CKD/KDIGO stages 3, 4 and 5 and 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age >50years, long duration with diabetes >5years and hypertension. Employment and paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. Conclusion : Unrecognized CKD of KDIGO stages 3,4 and 5 occurred in over thirty percent of the study patients. The risk factors of hypertension, age above 50, long duration of diabetes should help identify those at high risk of developing CKD, for screening and linkage to care. They are at high risk of progression to end-stage kidney disease and cardiovascular events. The imperative of screening for chronic kidney disease is availing care in publicly-funded hospitals.


Diabetologia ◽  
2021 ◽  
Author(s):  
Feifei Cheng ◽  
Andrea O. Luk ◽  
Hongjiang Wu ◽  
Claudia H. T. Tam ◽  
Cadmon K. P. Lim ◽  
...  

Abstract Aims/hypothesis Few large-scale prospective studies have investigated associations between relative leucocyte telomere length (rLTL) and kidney dysfunction in individuals with type 2 diabetes. We examined relationships between rLTL and incident end-stage kidney disease (ESKD) and the slope of eGFR decline in Chinese individuals with type 2 diabetes. Methods We studied 4085 Chinese individuals with type 2 diabetes observed between 1995 and 2007 in the Hong Kong Diabetes Register with stored baseline DNA and available follow-up data. rLTL was measured using quantitative PCR. ESKD was diagnosed based on the ICD-9 code and eGFR. Results In this cohort (mean ± SD age 54.3 ± 12.6 years) followed up for 14.1 ± 5.3 years, 564 individuals developed incident ESKD and had shorter rLTL at baseline (4.2 ± 1.2 vs 4.7 ± 1.2, p < 0.001) than the non-progressors (n = 3521). On Cox regression analysis, each ∆∆Ct decrease in rLTL was associated with an increased risk of incident ESKD (HR 1.21 [95% CI 1.13, 1.30], p < 0.001); the association remained significant after adjusting for baseline age, sex, HbA1c, lipids, renal function and other risk factors (HR 1.11 [95% CI 1.03, 1.19], p = 0.007). Shorter rLTL at baseline was associated with rapid decline in eGFR (>4% per year) during follow-up (unadjusted OR 1.22 [95% CI 1.15, 1.30], p < 0.001; adjusted OR 1.09 [95% CI 1.01, 1.17], p = 0.024). Conclusions/interpretation rLTL is independently associated with incident ESKD and rapid eGFR loss in individuals with type 2 diabetes. Telomere length may be a useful biomarker for the progression of kidney function and ESKD in type 2 diabetes. Graphical abstract


2019 ◽  
Author(s):  
Frederick C. F. Otieno ◽  
Elijah N Ogola ◽  
Mercy W Kimando ◽  
Ken K Mutai

Abstract Background Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances the cardiovascular risk profiles and disease, and a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that would optimize outcomes including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a higher prevalence of type 2 diabetes. It was aimed at finding out the burden of chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes from, mainly, the rural area. Methods This was a cross-sectional survey conducted at the out-patient diabetes clinic of Nyeri County hospital. A total of 385 participants with type 2 diabetes were enrolled over five (5) months. Each subject gave informed consent to participate wherein clinical evaluation was done, a spot sample of urine obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Main outcomes measure Estimated Glomerular filtration rate and albuminuria as markers of chronic kidney disease. Results Of the 385 participants included in the study, 252 (65.5%) were females. Thirty nine per cent, 39.0%(95%CI 34.3-44.2) had CKD/KDIGO stages 3, 4 and 5 while 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age >50years, long duration with diabetes >5years and hypertension. Employment and, paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. Conclusion Therefore, patients with type 2 diabetes should be screened for CKD using spot-urine albuminuria and eGFR, then risk-stratified further for cardiovascular disease and likelihood of progression to ESRD. Reducing proteinuria and optimizing control of the modifiable risk factors, especially unawareness, hypertension and hyperglycaemia, by linkage to and retention in quality care is the imperative of screening for chronic kidney disease which is the challenge in publicly-funded hospitals.


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