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Li K, Pirabhahar S, Thomsett M, Turner K, Wainstein M, Ha JT, Katz I. Use of kidney failure risk equation as a tool to evaluate referrals from primary care to specialist nephrology care. Intern Med J 2024; 54:1126-1135. [PMID: 38532529 DOI: 10.1111/imj.16377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 01/04/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND With rising costs and burden of chronic kidney disease (CKD), timely referral of patients to a kidney specialist is crucial. Currently, Kidney Health Australia (KHA) uses a 'heat map' based on severity and not future risk of kidney failure, whereas the kidney failure risk equation (KFRE) score predicts future risk of progression. AIMS Evaluate whether a KFRE score assists with timing of CKD referrals. METHODS Retrospective cohort of 2137 adult patients, referred to tertiary hospital outpatient nephrologist between 2012 and 2020, were analysed. Referrals were analysed for concordance with the KHA referral guidelines and, with the KFRE score, a recommended practice. RESULTS Of 2137 patients, 626 (29%) did not have urine albumin-to-creatinine ratio (UACR) measurement at referral. For those who had a UACR, the number who met KFRE preferred referral criteria was 36% less than KHA criteria. If the recommended KFRE score was used, then fewer older patients (≥40 years) needed referral. Positively, many diabetes patients were referred, even if their risk of kidney failure was low, and 29% had a KFRE over 3%. For patients evaluated meeting KFRE criteria, a larger proportion (76%) remained in follow-up, with only 8% being discharged. CONCLUSIONS KFRE could reduce referrals and be a useful tool to assist timely referrals. Using KFRE for triage may allow those patients with very low risk of future kidney failure not be referred, remaining longer in primary care, saving health resources and reducing patients' stress and wait times. Using KFRE encourages albuminuria measurement.
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Affiliation(s)
- Katherine Li
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Saiyini Pirabhahar
- Department of Renal Medicine, St George Hospital, Sydney, New South Wales, Australia
| | - Max Thomsett
- Department of Renal Medicine, St George Hospital, Sydney, New South Wales, Australia
| | - Kylie Turner
- Department of Renal Medicine, St George Hospital, Sydney, New South Wales, Australia
| | - Marina Wainstein
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Jeffrey T Ha
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Ivor Katz
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Renal Medicine, St George Hospital, Sydney, New South Wales, Australia
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2
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Chamarthi G, Orozco T, Hale-Gallardo J, Subhash S, Shell P, Pearce K, Jia H, Shukla AM. Informed Dialysis Modality Selection Among Veterans With Advanced CKD: A Community-Level Needs Assessment. Kidney Med 2024; 6:100832. [PMID: 38873241 PMCID: PMC11170158 DOI: 10.1016/j.xkme.2024.100832] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024] Open
Abstract
Rationale & Objective The Advancing Americans Kidney Health Executive order has directed substantial increases in home dialysis use for incident kidney replacement therapy (KRT). Clinical guidelines recommend patients' self-selection of KRT modality through a shared decision-making process, which, at the minimum, requires predialysis nephrology care and KRT-directed comprehensive prekidney failure patient education (CoPE). The current state of these essential services among Americans with advanced (stages 4 and 5) chronic kidney disease (CKD) and their informed preferences for home dialysis are unknown. Study Design We conducted a community-based, cross-sectional, observational cohort study across a large regional Veteran Healthcare System from October 1, 2020, to September 30, 2021. Setting & Participants Of the 928 Veterans with advanced CKD, 287 (30.9%) were invited for needs assessment evaluations. Of the 218 (76% of invited cohort) responding, 178 (81.6%) were receiving nephrology care, with approximately half of those (43.6%) receiving such care from non-Veterans Affairs providers. Outcomes The study was targeted to assess the prevalent state of ongoing nephrology care and KRT-directed pre-kidney failure education among Veterans with advanced CKD. The secondary outcome included evaluation of dialysis decision-making state among Veterans with advanced CKD. Analytical Approach Veterans with advanced CKD with 2 sustained estimated glomerular filtration rates <30 mL/min/1.73 m2 were identified through an electronic database query, and a randomly selected cohort was invited for their current state of and outstanding needs for predialysis nephrology care and CoPE, essential for informed KRT selection. Results Basic awareness of kidney disease was high (92.2%) among Veterans with advanced CKD, although only 38.5% were aware of the severity of their CKD. KRT-directed education during clinical care was reported by 46.8% of Veterans, of which 21.1% reported having received targeted CoPE classes. Three-quarters (74.3%) of Veterans expressed interest in receiving CoPE services. Overall, awareness of CKD and its severity and receipt of KRT-directed education were significantly higher among Veterans with nephrology care than among those without. Of the 61 Veterans providing their KRT preferences, overall decision making was poor, with three-quarters (73.8%) of the cohort unable to choose any KRT modality, irrespective of ongoing nephrology care. Only 8 (13%) felt confident choosing home KRT modalities. Limitations The study results are primarily applicable to the Veterans with advanced CKD. Furthermore, a limited numbers of respondents provided data on their KRT decision-making state, prohibiting broad generalizations. Conclusions In a first-of-its-kind community-based needs assessment evaluation among Veterans with advanced CKD, we found that awareness of kidney disease is positively associated with nephrology care; however, the informed KRT selection capabilities are universally poor, irrespective of nephrology care. Our results demonstrate a critical gap between the recommended and prevalent nephrology practices such as KRT-directed education and targeted CoPE classes required for informed patient-centered home dialysis selection in advanced CKD.
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Affiliation(s)
- Gajapathiraju Chamarthi
- Division of Nephrology, Hypertension, and Transplantation, University of Florida, Gainesville, Florida
| | - Tatiana Orozco
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
| | | | - Shobha Subhash
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
| | - Popy Shell
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
| | - Kailyn Pearce
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
| | - Huanguang Jia
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
| | - Ashutosh M. Shukla
- Division of Nephrology, Hypertension, and Transplantation, University of Florida, Gainesville, Florida
- Nephrology section, Medicine Service, North Florida South Georgia Veterans Healthcare System, Gainesville, Florida
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Thanabalasingam SJ, Iliescu EA, Norman PA, Day AG, Akbari A, Hundemer GL, White CA. Kidney Failure Risk Equation Thresholds for Multidisciplinary Kidney Care Referrals: A Validation Study. Kidney Med 2024; 6:100805. [PMID: 38562968 PMCID: PMC10982608 DOI: 10.1016/j.xkme.2024.100805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Affiliation(s)
| | - Eduard A. Iliescu
- Division of Nephrology, Department of Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Patrick A. Norman
- Kingston General Health Research Institute, Kingston Health Sciences Center, Kingston, Ontario, Canada
- Department of Public Health Sciences, Queen’s University, Kington, Ontario, Canada
| | - Andrew G. Day
- Kingston General Health Research Institute, Kingston Health Sciences Center, Kingston, Ontario, Canada
- Department of Public Health Sciences, Queen’s University, Kington, Ontario, Canada
| | - Ayub Akbari
- Division of Nephrology, Department of Medicine, the University of Ottawa, Ottawa, Ontario, Canada
| | - Gregory L. Hundemer
- Division of Nephrology, Department of Medicine, the University of Ottawa, Ottawa, Ontario, Canada
| | - Christine A. White
- Division of Nephrology, Department of Medicine, Queen’s University, Kingston, Ontario, Canada
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Ooi YG, Sarvanandan T, Hee NKY, Lim QH, Paramasivam SS, Ratnasingam J, Vethakkan SR, Lim SK, Lim LL. Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus. Diabetes Metab J 2024; 48:196-207. [PMID: 38273788 PMCID: PMC10995482 DOI: 10.4093/dmj.2023.0244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/25/2023] [Indexed: 01/27/2024] Open
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.
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Affiliation(s)
- Ying-Guat Ooi
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Tharsini Sarvanandan
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Nicholas Ken Yoong Hee
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Quan-Hziung Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Jeyakantha Ratnasingam
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Shireene R. Vethakkan
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Soo-Kun Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Asia Diabetes Foundation, Hong Kong SAR, China
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Bravo-Zúñiga J, Chávez-Gómez R, Soto-Becerra P. Multicentre external validation of the prognostic model kidney failure risk equation in patients with CKD stages 3 and 4 in Peru: a retrospective cohort study. BMJ Open 2024; 14:e076217. [PMID: 38184316 PMCID: PMC10773413 DOI: 10.1136/bmjopen-2023-076217] [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: 05/31/2023] [Accepted: 11/26/2023] [Indexed: 01/08/2024] Open
Abstract
OBJECTIVES To externally validate the four-variable kidney failure risk equation (KFRE) in the Peruvian population for predicting kidney failure at 2 and 5 years. DESIGN A retrospective cohort study. SETTING 17 primary care centres from the Health's Social Security of Peru. PARTICIPANTS Patients older than 18 years, diagnosed with chronic kidney disease stage 3a-3b-4 and 3b-4, between January 2013 and December 2017. Patients were followed until they developed kidney failure, died, were lost, or ended the study (31 December 2019), whichever came first. PRIMARY AND SECONDARY OUTCOME MEASURES Performance of the KFRE model was assessed based on discrimination and calibration measures considering the competing risk of death. RESULTS We included 7519 patients in stages 3a-4 and 2798 patients in stages 3b-4. The estimated cumulative incidence of kidney failure, accounting for competing event of death, at 2 years and 5 years, was 1.52% and 3.37% in stages 3a-4 and 3.15% and 6.86% in stages 3b-4. KFRE discrimination at 2 and 5 years was high, with time-dependent area under the curve and C-index >0.8 for all populations. Regarding calibration in-the-large, the observed to expected ratio and the calibration intercept indicated that KFRE underestimates the overall risk at 2 years and overestimates it at 5 years in all populations. CONCLUSIONS The four-variable KFRE models have good discrimination but poor calibration in the Peruvian population. The model underestimates the risk of kidney failure in the short term and overestimates it in the long term. Further research should focus on updating or recalibrating the KFRE model to better predict kidney failure in the Peruvian context before recommending its use in clinical practice.
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Affiliation(s)
- Jessica Bravo-Zúñiga
- Instituto de Evaluación de Tecnologías en Salud e Investigación-IETSI, ESSALUD, Lima, Peru
- Departamento de Nefrología, Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru
- Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Ricardo Chávez-Gómez
- Departamento de Nefrología, Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru
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Alexiuk M, Elgubtan H, Tangri N. Clinical Decision Support Tools in the Electronic Medical Record. Kidney Int Rep 2024; 9:29-38. [PMID: 38312784 PMCID: PMC10831391 DOI: 10.1016/j.ekir.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 10/23/2023] [Indexed: 02/06/2024] Open
Abstract
The integration of clinical decision support (CDS) tools into electronic medical record (EMR) systems has become common. Although there are many benefits for both patients and providers from successful integration, barriers exist that prevent consistent and effective use of these tools. Such barriers include tool alert fatigue, lack of interoperability between tools and medical record systems, and poor acceptance of tools by care providers. However, successful integration of CDS tools into EMR systems have been reported; examples of these include the Statin Choice Decision Aid, and the Kidney Failure Risk Equation (KFRE). This article reviews the history of EMR systems and its integration with CDS tools, the barriers preventing successful integration, and the benefits reported from successful integration. This article also provides suggestions and strategies for improving successful integration, making these tools easier to use and more effective for care providers.
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Affiliation(s)
- Mackenzie Alexiuk
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Heba Elgubtan
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Navdeep Tangri
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Department of Internal Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Gama R, Javeria Peracha, Kate Bramham, Cockwell P. Removal of ethnicity adjustment for creatinine-based estimated glomerular filtration rate equations. Ann Clin Biochem 2024; 61:8-18. [PMID: 36550595 DOI: 10.1177/00045632221149660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Creatinine-based estimated glomerular filtration rate equations (eGFRcreatinine) are used to measure excretory kidney function in clinical practice. Despite inter and intra-patient variability, eGFRcreatinine has excellent clinical utility and provides the basis for the classification system for chronic kidney disease (CKD), for kidney function monitoring, treatment interventions and referral pathways. The 4-variable modification of diet in renal disease (MDRD) eGFRcreatinine equation was introduced in 2000 and recommended by the National Institute for Health and Care Excellence (NICE) in 2008. Subsequently, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFRcreatinine equation was introduced in 2009 and is more accurate than MDRD in patients with mild and moderate CKD. In 2014, NICE recommended that CKD-EPI eGFRcreatinine replace MDRD eGFRcreatinine in routine clinical practice across England. Both equations originally incorporated adjustments for age, gender and ethnicity. However, the evidence for ethnicity adjustment has been increasingly questioned, and in 2021 NICE recommended that kidney function should be estimated by CKD-EPI eGFRcreatinine without using ethnicity adjustment. Recently, a CKD-EPI equation has been presented without ethnicity adjustment; however, this has not been validated outside of North America and NICE continues to recommend CKD-EPI 2009. We review the status of eGFRcreatinine in clinical practice, including the limitations of eGFRcreatinine and the rationale for removal of ethnicity adjustment and the potential impact of this change on clinical care for patients with kidney disease.
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Affiliation(s)
- Rouvick Gama
- King's Kidney Care, King's College Hospital NHS Foundation Trust, London, UK
| | - Javeria Peracha
- Renal Unit, The Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | - Kate Bramham
- King's Kidney Care, King's College Hospital NHS Foundation Trust, London, UK
- Department of Renal Sciences, King's College London, London, UK
| | - Paul Cockwell
- Department of Nephrology, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust and Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
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Irish GL, Cuthbertson L, Kitsos A, Saunder T, Clayton PA, Jose MD. The kidney failure risk equation predicts kidney failure: Validation in an Australian cohort. Nephrology (Carlton) 2023; 28:328-335. [PMID: 37076122 PMCID: PMC10946457 DOI: 10.1111/nep.14160] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/06/2023] [Accepted: 04/06/2023] [Indexed: 04/21/2023]
Abstract
AIMS Predicting progression to kidney failure for patients with chronic kidney disease is essential for patient and clinicians' management decisions, patient prognosis, and service planning. The Tangri et al Kidney Failure Risk Equation (KFRE) was developed to predict the outcome of kidney failure. The KFRE has not been independently validated in an Australian Cohort. METHODS Using data linkage of the Tasmanian Chronic Kidney Disease study (CKD.TASlink) and the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), we externally validated the KFRE. We validated the 4, 6, and 8-variable KFRE at both 2 and 5 years. We assessed model fit (goodness of fit), discrimination (Harell's C statistic), and calibration (observed vs predicted survival). RESULTS There were 18 170 in the cohort with 12 861 participants with 2 years and 8182 with 5 years outcomes. Of these 2607 people died and 285 progressed to kidney replacement therapy. The KFRE has excellent discrimination with C statistics of 0.96-0.98 at 2 years and 0.95-0.96 at 5 years. The calibration was adequate with well-performing Brier scores (0.004-0.01 at 2 years, 0.01-0.03 at 5 years) however the calibration curves, whilst adequate, indicate that predicted outcomes are systematically worse than observed. CONCLUSION This external validation study demonstrates the KFRE performs well in an Australian population and can be used by clinicians and service planners for individualised risk prediction.
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Affiliation(s)
- Georgina L. Irish
- Australia and New Zealand Dialysis and Transplant (ANZDATA) RegistrySouth Australian Health and Medical Research Institute (SAHMRI)AdelaideAustralia
- Central and Northern Adelaide Renal and Transplantation ServiceRoyal Adelaide HospitalAdelaideAustralia
- Department of MedicineThe University of AdelaideAdelaideAustralia
| | - Laura Cuthbertson
- School of MedicineUniversity of TasmaniaAustralia
- Renal Unit, Royal Hobart HospitalTasmanian Health ServiceTasmaniaAustralia
| | - Alex Kitsos
- School of MedicineUniversity of TasmaniaAustralia
| | - Tim Saunder
- School of MedicineUniversity of TasmaniaAustralia
| | - Philip A. Clayton
- Australia and New Zealand Dialysis and Transplant (ANZDATA) RegistrySouth Australian Health and Medical Research Institute (SAHMRI)AdelaideAustralia
- Central and Northern Adelaide Renal and Transplantation ServiceRoyal Adelaide HospitalAdelaideAustralia
- Department of MedicineThe University of AdelaideAdelaideAustralia
| | - Matthew D. Jose
- Australia and New Zealand Dialysis and Transplant (ANZDATA) RegistrySouth Australian Health and Medical Research Institute (SAHMRI)AdelaideAustralia
- School of MedicineUniversity of TasmaniaAustralia
- Renal Unit, Royal Hobart HospitalTasmanian Health ServiceTasmaniaAustralia
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Joshi P, Navaneethan SD, Estrella MM. Moving Beyond Tools and Building Bridges: Lessons Learned From a CKD Decision Support in Primary Care. Kidney Med 2022; 4:100497. [PMID: 35789757 PMCID: PMC9250038 DOI: 10.1016/j.xkme.2022.100497] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Priya Joshi
- San Francisco VA Health Care System, San Francisco, CA
- University of California San Francisco, San Francisco, CA
| | - Sankar D. Navaneethan
- Baylor College of Medicine, Houston, TX
- Michael E. DeBakey VA Medical Center, Houston, TX
| | - Michelle M. Estrella
- San Francisco VA Health Care System, San Francisco, CA
- University of California San Francisco, San Francisco, CA
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