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Li Y, Li X, Zhu M, Liu H, Lei Z, Yao X, Liu D. Development of a Physiologically Based Pharmacokinetic Population Model for Diabetic Patients and its Application to Understand Disease-drug-drug Interactions. Clin Pharmacokinet 2024; 63:831-845. [PMID: 38819713 DOI: 10.1007/s40262-024-01383-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2024] [Indexed: 06/01/2024]
Abstract
INTRODUCTION The activity changes of cytochrome P450 (CYP450) enzymes, along with the complicated medication scenarios in diabetes mellitus (DM) patients, result in the unanticipated pharmacokinetics (PK), pharmacodynamics (PD), and drug-drug interactions (DDIs). Physiologically based pharmacokinetic (PBPK) modeling has been a useful tool for assessing the influence of disease status on CYP enzymes and the resulting DDIs. This work aims to develop a novel diabetic PBPK population model to facilitate the prediction of PK and DDI in DM patients. METHODS First, mathematical functions were constructed to describe the demographic and non-CYP physiological characteristics specific to DM, which were then incorporated into the PBPK model to quantify the net changes in CYP enzyme activities by comparing the PK of CYP probe drugs in DM versus non-DM subjects. RESULTS The results show that the enzyme activity is reduced by 32.3% for CYP3A4/5, 39.1% for CYP2C19, and 27% for CYP2B6, while CYP2C9 activity is enhanced by 38% under DM condition. Finally, the diabetic PBPK model was developed through integrating the DM-specific CYP activities and other parameters and was further used to perform PK simulations under 12 drug combination scenarios, among which 3 combinations were predicted to result in significant PK changes in DM, which may cause DDI risks in DM patients. CONCLUSIONS The PBPK modeling applied herein provides a quantitative tool to assess the impact of disease factors on relevant enzyme pathways and potential disease-drug-drug-interactions (DDDIs), which may be useful for dosing regimen optimization and minimizing the DDI risks associated with the treatment of DM.
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Affiliation(s)
- Yafen Li
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Xiaonan Li
- Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Miao Zhu
- School of Pharmacy, Fudan University, Shanghai, 200433, China
| | - Huan Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Zihan Lei
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Xueting Yao
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China.
| | - Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China.
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Eer ASY, Ho RCY, Hearn T, Hachem M, Freund M, Burchill LJ, Atkinson-Briggs S, Singh S, Eades S, O'Brien RC, Furler JS, O'Neal DN, Story DA, Zajac JD, Braat S, Brown A, Clarke P, Sinha AK, McLean AG, Twigg SM, Ekinci EI. Feasibility and acceptability of the use of flash glucose monitoring encountered by Indigenous Australians with type 2 diabetes mellitus: initial experiences from a pilot study. BMC Health Serv Res 2023; 23:1377. [PMID: 38066492 PMCID: PMC10704698 DOI: 10.1186/s12913-023-10121-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 10/05/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is highly prevalent within the Indigenous Australian community. Novel glucose monitoring technology offers an accurate approach to glycaemic management, providing real-time information on glucose levels and trends. The acceptability and feasibilility of this technology in Indigenous Australians with T2DM has not been investigated. OBJECTIVE This feasibility phenomenological study aims to understand the experiences of Indigenous Australians with T2DM using flash glucose monitoring (FGM). METHODS Indigenous Australians with T2DM receiving injectable therapy (n = 8) who used FGM (Abbott Freestyle Libre) for 6-months, as part of a clinical trial, participated in semi-structured interviews. Thematic analysis of the interviews was performed using NVivo12 Plus qualitative data analysis software (QSR International). RESULTS Six major themes emerged: 1) FGM was highly acceptable to the individual; 2) FGM's convenience was its biggest benefit; 3) data from FGM was a tool to modify lifestyle choices; 4) FGM needed to be complemented with health professional support; 5) FGM can be a tool to engage communities in diabetes management; and 6) cost of the device is a barrier to future use. CONCLUSIONS Indigenous Australians with T2DM had positive experiences with FGM. This study highlights future steps to ensure likelihood of FGM is acceptable and effective within the wider Indigenous Australian community.
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Affiliation(s)
- Audrey Sing Yi Eer
- Austin Health, Heidelberg, VIC, Australia
- The University of Melbourne (Austin Health), Melbourne, VIC, Australia
| | | | - Tracey Hearn
- The University of Melbourne, Melbourne, VIC, Australia
- Rumbalara Aboriginal Co-Operative, Mooroopna, VIC, Australia
| | - Mariam Hachem
- The University of Melbourne (Austin Health), Melbourne, VIC, Australia
- Centre for Research and Education in Diabetes and Obesity (CREDO), Faculty of Dentistry Health Sciences and Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
- The Australian Centre for Accelerating Diabetes Innovation (ACADI), The University of Melbourne, Parkville, Australia
| | - Megan Freund
- Research Academic, School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
- Equity in Health and Wellbeing Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Luke James Burchill
- Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine (Royal Melbourne Hospital), Aboriginal Cardiovascular Health Equity Research Group, The University of Melbourne, Melbourne, VIC, Australia
| | - Sharon Atkinson-Briggs
- Rumbalara Aboriginal Co-Operative, Mooroopna, VIC, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Satpal Singh
- Rumbalara Aboriginal Co-Operative, Mooroopna, VIC, Australia
| | - Sandra Eades
- Faculty of Medicine Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Richard Charles O'Brien
- Austin Clinical School, The University of Melbourne, Melbourne, VIC, Australia
- Graduate Programs and Executive Education, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- Lipid Services, Austin Health, Heidelberg, VIC, Australia
| | - John Stuart Furler
- Department of General Practice, Faculty of Medicine Dentisty and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - David Norman O'Neal
- The Australian Centre for Accelerating Diabetes Innovation (ACADI), The University of Melbourne, Parkville, Australia
- St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- The University of Melbourne (St. Vincent's Hospital), Melbourne, VIC, Australia
| | - David Andrew Story
- Austin Health, Heidelberg, VIC, Australia
- Department of Critical Care, The University of Melbourne, Melbourne, Australia
- Melbourne Academic Centre for Health (MACH), Melbourne, VIC, Australia
| | - Jeffrey David Zajac
- The University of Melbourne (Austin Health), Melbourne, VIC, Australia
- Division of Medicine, Medical Services CSU and Department of Endocrinology, Austin Health, Heidelberg, VIC, Australia
| | - Sabine Braat
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- MISCH (Methods and Implementation Support for Clinical Health) research Hub, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Alex Brown
- Indigenous Genomics, Australian National University and Telethon Kids Institute, Canberra, Australian Capital Territory, Australia
| | - Phillip Clarke
- The Australian Centre for Accelerating Diabetes Innovation (ACADI), The University of Melbourne, Parkville, Australia
- Health Economics, Nuffield Department of Public Health, Univeristy of Oxford, Oxford, UK
- Academic, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Ashim Kumar Sinha
- Diabetes and Endocrinology, Cairns Hospital, Cairns, QLD, Australia
- James Cook University, Cairns, QLD, Australia
| | - Anna Gerardina McLean
- Endocrinology and General Medicine, Cairns Hospital, Cairns, QLD, Australia
- Menzies School of Health Research, Darwin, NT, Australia
| | - Stephen Morris Twigg
- The Australian Centre for Accelerating Diabetes Innovation (ACADI), The University of Melbourne, Parkville, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Endocrinology, Stan Clark Chair in Diabetes, Faculty in Diabetes, The University of Sydney, Sydney, NSW, Australia
| | - Elif Ilhan Ekinci
- Austin Health, Heidelberg, VIC, Australia.
- The Australian Centre for Accelerating Diabetes Innovation (ACADI), The University of Melbourne, Parkville, Australia.
- Sir Edward Weary Dunlop Principal Research Fellow in Metabolic Medicine, University of Melbourne, Melbourne, VIC, Australia.
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Liu C, Tian J, Jose MD, He Y, Dwyer T, Venn AJ. Associations of a healthy lifestyle score from childhood to adulthood with subclinical kidney damage in midlife: a population-based cohort study. BMC Nephrol 2022; 23:2. [PMID: 34979963 PMCID: PMC8722172 DOI: 10.1186/s12882-021-02627-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/26/2021] [Indexed: 12/12/2022] Open
Abstract
Background The relationships of healthy lifestyle scores (HLS) of various kinds in adulthood with the risk of chronic kidney disease (CKD) have been reported, but little is known about the association of childhood lifestyle with later life CKD. This study examined the relationship of HLS from childhood to adulthood with subclinical kidney damage (SKD) in midlife, a surrogate measure for CKD. Methods Data were collected in an Australian population-based cohort study with 33 years follow-up. 750 participants with lifestyle information collected in childhood (ages 10–15 years) and midlife (ages 40–50 years), and measures of kidney function in midlife were included. The HLS was generated from the sum scores of five lifestyle factors (body mass index, smoking, alcohol consumption, physical activity, and diet). Each factor was scored as poor (0 point), intermediate (1 point), or ideal (2 points). Log-binomial regression was used to investigate the relationship of HLS in childhood and from childhood to adulthood with SKD defined as either 1) estimated glomerular filtration rate (eGFR) 30–60 mL/min/1.73m2 or 2) eGFR> 60 mL/min/1.73m2 with urine albumin-creatinine ratio ≥ 2.5 mg/mmol (males) or 3.5 mg/mmol (females), adjusting for socio-demographic factors and the duration of follow-up. Results The average HLS was 6.6 in childhood and 6.5 in midlife, and the prevalence of SKD was 4.9% (n = 36). Neither HLS in childhood nor HLS from childhood to adulthood were significantly associated with the risk of SKD in midlife. Conclusions A HLS from childhood to adulthood did not predict SKD in this middle-aged, population-based Australian cohort. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-021-02627-0.
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Affiliation(s)
- Conghui Liu
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000, Australia
| | - Jing Tian
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000, Australia
| | - Matthew D Jose
- School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Ye He
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000, Australia.,The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000, Australia.
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Yang Y, Xu G. Update on Pathogenesis of Glomerular Hyperfiltration in Early Diabetic Kidney Disease. Front Endocrinol (Lausanne) 2022; 13:872918. [PMID: 35663316 PMCID: PMC9161673 DOI: 10.3389/fendo.2022.872918] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
In the existing stages of diabetic kidney disease (DKD), the first stage of DKD is called the preclinical stage, characterized by glomerular hyperfiltration, an abnormally elevated glomerular filtration rate. Glomerular hyperfiltration is an independent risk factor for accelerated deterioration of renal function and progression of nephropathy, which is associated with a high risk for metabolic and cardiovascular disease. It is imperative to understand hyperfiltration and identify potential treatments to delay DKD progress. This paper summarizes the current mechanisms of hyperfiltration in early DKD. We pay close attention to the effect of glucose reabsorption mediated by sodium-glucose cotransporters and renal growth on hyperfiltration in DKD patients, as well as the mechanisms of nitric oxide and adenosine actions on renal afferent arterioles via tubuloglomerular feedback. Furthermore, we also focus on the contribution of the atrial natriuretic peptide, cyclooxygenase, renin-angiotensin-aldosterone system, and endothelin on hyperfiltration. Proposing potential treatments based on these mechanisms may offer new therapeutic opportunities to reduce the renal burden in this population.
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Correlation of Operative Mortality and Morbidity With Preoperative C-Reactive Protein/Albumin Ratio, Neutrophil/Lymphocyte Ratio, and Prognostic Nutritional Index in Patients Undergoing Emergent Operations Due to Strangulation Ileus. Int Surg 2021. [DOI: 10.9738/intsurg-d-16-00250.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Emergent surgery is necessary in patients with strangulation ileus. However, such procedures are associated with high morbidity and mortality. A retrospective analysis was performed to determine whether the preoperative C-reactive protein/albumin ratio (CAR); neutrophil/lymphocyte ratio (NLR); and prognostic nutritional index (PNI) are good indicators of mortality or morbidity in patients undergoing emergent operations for treatment of strangulation ileus. Emergent surgery was performed for 1698 patients at Tottori Prefectural Central Hospital from 2012 and 2015. Among them, 45 patients (2.7%) were preoperatively diagnosed with strangulation ileus. We evaluated the clinical importance of the preoperative CAR, NLR, and PNI in these patients. We excluded pediatric patients from this study. Postoperative complications developed in 14 of 45 (31.1%) patients. The mean postoperative hospital stay among the 14 patients with postoperative complications was significantly longer than that of the 31 patients without postoperative complications (44.0 versus 11.3 days, respectively; P = 0.006). Three patients died of postoperative complications. The overall operative mortality and morbidity rates were 6.7% and 31.1%, respectively. We found strong correlations of postoperative complications with older age, a longer operation time, and an abnormal preoperative CAR, NLR, and PNI. Not only inflammation, but also a patients' nutritional and immune status appear to be strongly correlated with mortality or morbidity after emergent operations for strangulation ileus. Patients with a high CAR and NLR and low PNI preoperatively must be closely monitored for the occurrence of postoperative complications such as surgical site infections or pulmonary complications.
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Majoni SW, Barzi F, Hoy W, MacIsaac RJ, Cass A, Maple-Brown L, Hughes JT. Baseline liver function tests and full blood count indices and their association with progression of chronic kidney disease and renal outcomes in Aboriginal and Torres Strait Islander people: the eGFR follow- up study. BMC Nephrol 2020; 21:523. [PMID: 33261565 PMCID: PMC7709437 DOI: 10.1186/s12882-020-02185-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 11/24/2020] [Indexed: 12/14/2022] Open
Abstract
Background Determination of risks for chronic kidney disease (CKD) progression could improve strategies to reduce progression to ESKD. The eGFR Study recruited a cohort of adult Aboriginal and Torres Strait Islander people (Indigenous Australians) from Northern Queensland, Northern Territory and Western Australia, aiming to address the heavy CKD burden experienced within these communities. Methods Using data from the eGFR study, we explored the association of baseline liver function tests (LFTs) (alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), bilirubin and albumin) and full blood count (FBC) indices (white blood cell and red blood cell counts and haemoglobin) with annual eGFR decline and renal outcomes (first of 30% decline in eGFR with a follow-up eGFR < 60 mL/min/1.73 m2, initiation of renal replacement therapy, or renal death). Comparisons of baseline variables across eGFR categories were calculated using analysis of variance and logistic regression as appropriate. Linear and multivariable regression models were used to estimate the annual change in eGFR for changes in FBC indices and LFTs. Cox proportional hazard models were used to estimate the hazard ratio for developing renal outcome for changes in baseline FBC indices and LFTs. Results Of 547 participants, 540 had at least one baseline measure of LFTs and FBC indices. The mean age was 46.1 (14.7) years and 63.6% were female. The median follow-up was 3.1 (IQR 2.8–3.6) years. Annual decline in eGFR was associated with low serum albumin (p < 0.001) and haemoglobin (p = 0.007). After adjustment for age, gender, urine albumin/creatinine ratio, diabetes, BMI, CRP, WHR, alcohol consumption, cholesterol and triglycerides, low serum albumin (p < 0.001), haemoglobin (p = 0.012) and bilirubin (p = 0.011) were associated with annual decline in eGFR. Renal outcomes were inversely associated with serum albumin (p < 0.001), bilirubin (p = 0.012) and haemoglobin (p < 0.001) and directly with GGT (p = 0.007) and ALP (p < 0.001). Other FBC indices and LFTs were not associated with annual decline in eGFR or renal outcomes. Conclusions GGT, ALP, bilirubin, albumin and haemoglobin independently associate with renal outcomes. Contrary to findings from other studies, no association was found between renal outcomes and other FBC indices. These findings may help focus strategies to prevent disease progression in this high-risk population. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-020-02185-x.
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Affiliation(s)
- Sandawana William Majoni
- Department of Nephrology, Division of Medicine, Royal Darwin Hospital, P.O. Box 41326, Casuarina, Darwin, Northern Territory, Australia. .,Flinders University and Northern Territory Medical Program, Royal Darwin Hospital Campus, Darwin, Australia. .,Wellbeing and Preventable Chronic Diseases, Menzies School of Health Research, Charles Darwin University, Darwin, Australia.
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Wendy Hoy
- Centre for Chronic Disease, The University of Queensland, Brisbane, St Lucia, Australia
| | - Richard J MacIsaac
- Baker Heart and Diabetes Institute, Melbourne, Australia.,Department of Medicine, University of Melbourne, Melbourne, Australia.,St. Vincent's Hospital Melbourne, Melbourne, Australia.,Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne and The University of Melbourne, Fitzroy, Victoria, Australia
| | - Alan Cass
- Wellbeing and Preventable Chronic Diseases, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Louise Maple-Brown
- Department of Nephrology, Division of Medicine, Royal Darwin Hospital, P.O. Box 41326, Casuarina, Darwin, Northern Territory, Australia.,Wellbeing and Preventable Chronic Diseases, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Jaquelyne T Hughes
- Department of Nephrology, Division of Medicine, Royal Darwin Hospital, P.O. Box 41326, Casuarina, Darwin, Northern Territory, Australia.,Wellbeing and Preventable Chronic Diseases, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
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Djukanović L, Ležaić V, Bukvić D, Mirković D, Marić I. Increased Glomerular Filtration Rate in Early Stage of Balkan Endemic Nephropathy. MEDICINA (KAUNAS, LITHUANIA) 2019; 55:E155. [PMID: 31108979 PMCID: PMC6572402 DOI: 10.3390/medicina55050155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/01/2019] [Accepted: 05/15/2019] [Indexed: 12/21/2022]
Abstract
Background: A previous study indicated that Balkan endemic nephropathy (BEN) patients in the early stage of the disease had significantly higher creatinine clearance (Ccr) than healthy persons. The aim of the study was to assess whether tubular creatinine secretion affects Ccr in early stages of BEN and to check the applicability of serum creatinine-based glomerular filtration rate (GFR) equations in these patients. Methods: The study involved 21 BEN patients with estimated GFR (eGFR) above 60 mL/min/1.73 m2, excluding any conditions that could affect GFR or tubular creatinine secretion, and 15 healthy controls. In all participants Ccr with and without cimetidine and iohexol clearance (mGFR) were measured and eGFR calculated using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease Study (MDRD) equations. Glomerular hyperfiltration cutoff (GFR-HF) was calculated. Results: There was no significant difference between the groups in Ccr before and after cimetidine or for eGFR, but mGFR was significantly higher in BEN patients than in controls (122.02 ± 28.03 mL/min/1.73 m2 vs. 101.15 ± 27.32 mL/min/1.73 m2; p = 0.032). Cimetidine administration reduced Ccr by 10% in both groups. The ratio of Ccr to mGFR was significantly above one in seven BEN patients and five controls and their mGFR values were similar. Seven other patients and eight controls had this ratio equal to one, while values below one were recorded for seven more patients and two controls. mGFR of all these 14 patients was significantly higher than that of healthy controls (129.88 ± 27.52 mL/min/1.73 m2 vs. 107.43 ± 19.51 mL/min/1.73 m2; p = 0.009). Mean GFR-HF was significantly higher than mGFR in controls, but these two values were similar in BEN patients. eGFR underestimated mGFR in both BEN patients and controls. Conclusion: The ratio of Ccr to mGFR and mGFR to GFR-HF indicated that elevated mGFR in early stages of BEN could be explained by increased glomerular filtration, but tubular creatinine secretion augmented Ccr in a smaller proportion of patients, who did not differ from healthy subjects.
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Affiliation(s)
| | - Višnja Ležaić
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
- Department of Nephrology, Clinical Centre of Serbia, 11000 Belgrade, Serbia.
| | - Danica Bukvić
- Special Hospital for Endemic Nephropathy, 11550 Lazarevac, Serbia.
| | - Dušan Mirković
- Faculty of Pharmacy, University of Belgrade, 11000 Belgrade, Serbia.
- Centre for Medical Biochemistry, Clinical Centre of Serbia, 11000 Belgrade, Serbia.
| | - Ivko Marić
- Special Hospital for Endemic Nephropathy, 11550 Lazarevac, Serbia.
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Ekinci EI, Barr ELM, Barzi F, Hughes JT, Lawton PD, Jones GRD, Hoy W, Cass A, Thomas M, Sinha A, Jerums G, O'Dea K, MacIsaac RJ, Maple-Brown LJ. Is hyperfiltration associated with higher urine albumin-to-creatinine ratio at follow up among Indigenous Australians? The eGFR follow-up study. J Diabetes Complications 2019; 33:343-349. [PMID: 30904420 DOI: 10.1016/j.jdiacomp.2019.02.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Glomerular hyperfiltration is not able to be detected in clinical practice. We assessed whether hyperfiltration is associated with albuminuria progression among Indigenous Australians at high risk of diabetes and kidney disease to determine its role in kidney disease progression. METHODS Longitudinal observational study of Indigenous Australians aged ≥18 years recruited from >20 sites, across diabetes and/or kidney function strata. At baseline, iohexol clearance was used to measure glomerular filtration rate (mGFR) and hyperfiltration was defined as (i) a mGFR of ≥125 mL/min/1.73 m2, and (ii) an age-adjusted definition, with the top 10% of the mGFR for each 10 year age group at baseline. Baseline and follow-up urine albumin-to-creatinine ratio (uACR) was collected, and linear regression was used to assess the associations of hyperfiltration and uACR at follow up. RESULTS 407 individuals (33% men, mean age 47 years) were followed-up for a median of 3 years. At baseline, 234 had normoalbuminuria and 173 had albuminuria. Among participants with normoalbuminuria, those with mGFR ≥125 mL/min/1.73 m2 had 32% higher uACR at follow-up (p = 0.08), and those with age-adjusted hyperfiltration had 60% higher uACR (p = 0.037) compared to those who had normofiltration. These associations were independent of uACR at baseline, but attenuated by HbA1c. Associations were stronger among those without than those with albuminuria at baseline. CONCLUSIONS Although not available for assessment in current clinical practice, hyperfiltration may represent a marker of subsequent albuminuria progression among individuals who have not yet developed albuminuria.
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Affiliation(s)
- Elif I Ekinci
- Menzies School of Health Research, Charles Darwin University, Australia; The University of Melbourne, Department of Medicine at Austin Health, Melbourne, Australia; Department of Endocrinology, Austin Health, Melbourne, Australia
| | - Elizabeth L M Barr
- Menzies School of Health Research, Charles Darwin University, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, Australia
| | - Jaquelyne T Hughes
- Menzies School of Health Research, Charles Darwin University, Australia; Division of Medicine, Royal Darwin Hospital, Darwin, Australia
| | - Paul D Lawton
- Menzies School of Health Research, Charles Darwin University, Australia
| | - Graham R D Jones
- SydPath, St Vincent's Hospital, Sydney, Australia; University of New South Wales Sydney, Sydney, Australia
| | - Wendy Hoy
- The University of Queensland Centre for Chronic Disease, Queensland, Australia
| | - Alan Cass
- Menzies School of Health Research, Charles Darwin University, Australia
| | | | - Ashim Sinha
- Diabetes and Endocrinology, Cairns Base Hospital, Cairns, Australia
| | - George Jerums
- Menzies School of Health Research, Charles Darwin University, Australia; The University of Melbourne, Department of Medicine at Austin Health, Melbourne, Australia
| | - Kerin O'Dea
- The University of Melbourne, Department of Medicine at Austin Health, Melbourne, Australia; School of Population Health, University of South Australia, Australia
| | - Richard J MacIsaac
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne and the University of Melbourne, Melbourne, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Australia; Division of Medicine, Royal Darwin Hospital, Darwin, Australia.
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Radcliffe NJ, Seah JM, Clarke M, MacIsaac RJ, Jerums G, Ekinci EI. Clinical predictive factors in diabetic kidney disease progression. J Diabetes Investig 2016; 8:6-18. [PMID: 27181363 PMCID: PMC5217935 DOI: 10.1111/jdi.12533] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 03/10/2016] [Accepted: 03/14/2016] [Indexed: 12/15/2022] Open
Abstract
Diabetic kidney disease (DKD) represents a major component of the health burden associated with type 1 and type 2 diabetes. Recent advances have produced an explosion of ‘novel’ assay‐based risk markers for DKD, though clinical use remains restricted. Although many patients with progressive DKD follow a classical albuminuria‐based pathway, non‐albuminuric DKD progression is now well recognized. In general, the following clinical and biochemical characteristics have been associated with progressive DKD in both type 1 and type 2 diabetes: increased hemoglobin A1c, systolic blood pressure, albuminuria grade, early glomerular filtration rate decline, duration of diabetes, age (including pubertal onset) and serum uric acid; the presence of concomitant microvascular complications; and positive family history. The same is true in type 2 diabetes for male sex category, in patients following an albuminuric pathway to DKD, and also true for the presence of increased pulse wave velocity. The following baseline clinical characteristics have been proposed as risk factors for DKD progression, but with further research required to assess the nature of any relationship: dyslipidemia (including low‐density lipoprotein, total and high‐density lipoprotein cholesterol); elevated body mass index; smoking status; hyperfiltration; decreases in vitamin D, hemoglobin and uric acid excretion (all known consequences of advanced DKD); and patient test result visit‐to‐visit variability (hemoglobin A1c, blood pressure and high‐density lipoprotein cholesterol). The development of multifactorial ‘renal risk equations’ for type 2 diabetes has the potential to simplify the task of DKD prognostication; however, there are currently none for type 1 diabetes‐specific populations. Significant progress has been made in the prediction of DKD progression using readily available clinical data, though further work is required to elicit the role of several variables, and to consolidate data to facilitate clinical implementation.
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Affiliation(s)
- Nicholas J Radcliffe
- Austin Clinical School, Melbourne, Victoria, Australia.,The University of Melbourne, Melbourne, Victoria, Australia
| | - Jas-Mine Seah
- Austin Health Endocrine Center, Melbourne, Victoria, Australia
| | - Michele Clarke
- The University of Melbourne, Melbourne, Victoria, Australia.,Austin Health Endocrine Center, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- The University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology & Diabetes, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - George Jerums
- The University of Melbourne, Melbourne, Victoria, Australia.,Austin Health Endocrine Center, Melbourne, Victoria, Australia
| | - Elif I Ekinci
- The University of Melbourne, Melbourne, Victoria, Australia.,Austin Health Endocrine Center, Melbourne, Victoria, Australia.,Menzies School of Health, Darwin, Northern Territory, Australia
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Maple-Brown LJ, Hughes JT, Ritte R, Barzi F, Hoy WE, Lawton PD, Jones GRD, Death E, Simmonds A, Sinha AK, Cherian S, Thomas MAB, McDermott R, Brown ADH, O'Dea K, Jerums G, Cass A, MacIsaac RJ. Progression of Kidney Disease in Indigenous Australians: The eGFR Follow-up Study. Clin J Am Soc Nephrol 2016; 11:993-1004. [PMID: 27076636 PMCID: PMC4891751 DOI: 10.2215/cjn.09770915] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 02/16/2016] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVES Indigenous Australians experience a heavy burden of CKD. To address this burden, the eGFR Follow-Up Study recruited and followed an Indigenous Australian cohort from regions of Australia with the greatest ESRD burden. We sought to better understand factors contributing to the progression of kidney disease. Specific objectives were to assess rates of progression of eGFR in Indigenous Australians with and without CKD and identify factors associated with a decline in eGFR. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS This observational longitudinal study of Indigenous Australian adults was conducted in >20 sites. The baseline cohort was recruited from community and primary care clinic sites across five strata of health, diabetes status, and kidney function. Participants were then invited to follow up at 2-4 years; if unavailable, vital status, progression to RRT, and serum creatinine were obtained from medical records. Primary outcomes were annual eGFR change and combined renal outcome (first of ≥30% eGFR decline with follow-up eGFR<60 ml/min per 1.73 m(2), progression to RRT, or renal death). RESULTS Participants (n=550) were followed for a median of 3.0 years. Baseline and follow-up eGFR (geometric mean [95% confidence interval], 83.9 (80.7 to 87.3) and 70.1 (65.9 to 74.5) ml/min per 1.73 m(2), respectively. Overall mean annual eGFR change was -3.1 (-3.6 to -2.5) ml/min per 1.73 m(2). Stratified by baseline eGFR (≥90, 60-89, <60 ml/min per 1.73 m(2)), annual eGFR changes were -3.0 (-3.6 to -2.4), -1.9 (-3.3 to -0.5), and -5.0 (-6.5 to -3.6) ml/min per 1.73 m(2). Across baseline eGFR categories, annual eGFR decline was greatest among adults with baseline albumin-to-creatinine ratio (ACR) >265 mg/g (30 mg/mmol). Baseline determinants of the combined renal outcome (experienced by 66 participants) were higher urine ACR, diabetes, lower measured GFR, and higher C-reactive protein. CONCLUSIONS The observed eGFR decline was three times higher than described in nonindigenous populations. ACR was confirmed as a powerful predictor for eGFR decline across diverse geographic regions.
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Affiliation(s)
- Louise J Maple-Brown
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
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11
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Bjornstad P, Cherney DZ, Maahs DM, Nadeau KJ. Diabetic Kidney Disease in Adolescents With Type 2 Diabetes: New Insights and Potential Therapies. Curr Diab Rep 2016; 16:11. [PMID: 26803647 PMCID: PMC5841446 DOI: 10.1007/s11892-015-0708-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD) and dialysis in the Western world. Early DKD, including microalbuminuria and renal hyperfiltration, is common in adolescents with type 2 diabetes (T2D). Furthermore, youth-onset T2D carries a higher risk of progressive DKD than adult-onset T2D of similar diabetes duration. DKD is characterized by a long clinically silent period without signs of disease. Therefore, a major challenge in preventing DKD is the difficulty in identifying high-risk T2D patients at an early stage. The Type 2 Diabetes in Adolescents and Youth (TODAY) study demonstrated a high initial prevalence that increased over time, irrespective of treatment arm. This key observation underscores the importance of discovering new therapeutic targets to supplement conventional management, in order to reduce DKD risk. In this review, we focus on early DKD in T2D and summarize potential novel biomarkers and therapeutic targets.
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Affiliation(s)
- Petter Bjornstad
- Department of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO, USA.
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 13123 East 16th Ave, Box B265, Aurora, CO, 80045, USA.
| | - David Z Cherney
- Department of Medicine, Division of Nephrology, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
| | - David M Maahs
- Department of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 13123 East 16th Ave, Box B265, Aurora, CO, 80045, USA
- Department of Medicine, Division of Nephrology, University of Colorado, Aurora, CO, USA
| | - Kristen J Nadeau
- Department of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 13123 East 16th Ave, Box B265, Aurora, CO, 80045, USA
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Wood AJ, Churilov L, Perera N, Thomas D, Poon A, MacIsaac RJ, Jerums G, Ekinci EI. Estimating glomerular filtration rate: Performance of the CKD-EPI equation over time in patients with type 2 diabetes. J Diabetes Complications 2016; 30:49-54. [PMID: 26597601 DOI: 10.1016/j.jdiacomp.2015.08.025] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Revised: 08/30/2015] [Accepted: 08/31/2015] [Indexed: 02/03/2023]
Abstract
AIMS To assess the performance of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation at baseline and longitudinally in people with type 2 diabetes. METHODS Adults with type 2 diabetes attending Austin Health, Melbourne, with≥3 prospective GFR measurements were included in this retrospective study. Plasma disappearance rate of DTPA (diethylene-triamine-penta-acetic acid) was used to calculate measured GFR (mGFR) and compared to estimated GFR (eGFR). The agreement between mGFR and eGFR was estimated using Intraclass Correlation Coefficient (ICC). RESULTS 152 patients had a median of 4 (IQR: 3, 5) mGFR measurements over a period of 11years (IQR: 9, 12). The difference between mGFR and eGFR increased proportionally to the magnitude of the GFR, increasing by 0.2ml/min/1.73m(2) for every 1ml/min/1.73m(2) increase in mGFR, indicative of proportional bias. At lower mGFR levels, eGFR overestimated mGFR, and at higher mGFR levels, eGFR underestimated mGFR. There was a significant association between LDL cholesterol, triglycerides, HbA1c, diastolic blood pressure and the difference between mGFR and eGFR. CONCLUSIONS The CKD-EPI formula underestimates mGFR and the rate of decline of mGFR in patients with type 2 diabetes with an mGFR greater than 60ml/min/1.73m(2). The association between LDL cholesterol, triglycerides, HbA1c, diastolic blood pressure and the difference between mGFR and eGFR warrants further study.
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Affiliation(s)
- Anna J Wood
- Austin Health Endocrine Centre, Heidelberg, VIC, Australia
| | - Leonid Churilov
- Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia; RMIT University, Melbourne, VIC, Australia
| | - Nayomi Perera
- Austin Health Endocrine Centre, Heidelberg, VIC, Australia
| | - David Thomas
- Austin Health Nuclear Medicine Department, Heidelberg, VIC, Australia
| | - Aurora Poon
- Austin Health Nuclear Medicine Department, Heidelberg, VIC, Australia
| | - Richard J MacIsaac
- Department of Medicine Austin Health, The University of Melbourne, Melbourne, VIC, Australia; Department of Endocrinology and Diabetes, St Vincent's Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - George Jerums
- Austin Health Endocrine Centre, Heidelberg, VIC, Australia; Department of Medicine Austin Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Elif I Ekinci
- Austin Health Endocrine Centre, Heidelberg, VIC, Australia; Department of Medicine Austin Health, The University of Melbourne, Melbourne, VIC, Australia; Menzies School of Health Research, Darwin, NT, Australia.
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