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Chinnadurai R, Wu HHL, Abuomar J, Rengarajan S, New DI, Green D, Kalra PA. Antihypertensive prescribing patterns in non-dialysis dependent chronic kidney disease: Findings from the Salford Kidney Study. World J Nephrol 2023; 12:168-181. [PMID: 38230298 PMCID: PMC10789086 DOI: 10.5527/wjn.v12.i5.168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Hypertension is commonly observed in patients living with chronic kidney disease (CKD). Finding an optimal treatment regime remains challenging due to the complex bidirectional cause-and-effect relationship between hypertension and CKD. There remains variability in antihypertensive treatment practices. AIM To analyze data from the Salford Kidney Study database in relation to antihypertensive prescribing patterns amongst CKD patients. METHODS The Salford Kidney Study is an ongoing prospective study that has been recruiting CKD patients since 2002. All patients are followed up annually, and their medical records including the list of medications are updated until they reach study endpoints [starting on renal replacement therapy or reaching estimated glomerular filtration rate (eGFR) expressed as mL/min/1.73 m2 ≤ 10 mL/min/1.73 m2, or the last follow-up date, or data lock on December 31, 2021, or death]. Data on antihypertensive prescription practices in correspondence to baseline eGFR, urine albumin-creatinine ratio, primary CKD aetiology, and cardiovascular disease were evaluated. Associations between patients who were prescribed three or more antihypertensive agents and their clinical outcomes were studied by Cox regression analysis. Kaplan-Meier analysis demonstrated differences in survival probabilities. RESULTS Three thousand two hundred and thirty non-dialysis-dependent CKD patients with data collected between October 2002 and December 2019 were included. The median age was 65 years. A greater proportion of patients were taking three or more antihypertensive agents with advancing CKD stages (53% of eGFR ≤ 15 mL/min/1.73 m2 vs 26% of eGFR ≥ 60 mL/min/1.73 m2, P < 0.001). An increased number of patients receiving more classes of antihypertensive agents was observed as the urine albumin-creatinine ratio category increased (category A3: 62% vs category A1: 40%, P < 0.001), with the upward trends particularly noticeable in the number of individuals prescribed renin angiotensin system blockers. The prescription of three or more antihypertensive agents was associated with all-cause mortality, independent of blood pressure control (hazard ratio: 1.15; 95% confidence interval: 1.04-1.27, P = 0.006). Kaplan-Meier analysis illustrated significant differences in survival outcomes between patients with three or more and those with less than three antihypertensive agents prescribed (log-rank, P < 0.001). CONCLUSION Antihypertensive prescribing patterns in the Salford Kidney Study based on CKD stage were consistent with expectations from the current United Kingdom National Institute of Health and Care Excellence guideline algorithm. Outcomes were poorer in patients with poor blood pressure control despite being on multiple antihypertensive agents. Continued research is required to bridge remaining variations in hypertension treatment practices worldwide.
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Affiliation(s)
- Rajkumar Chinnadurai
- Donal O’Donoghue Renal Research Centre & Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Henry H L Wu
- Department of Renal Research, Kolling Institute of Medical Research, Royal North Shore Hospital & The University of Sydney, St. Leonards (Sydney) 2065, New South Wales, Australia
| | - Jones Abuomar
- Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M1 7HR, United Kingdom
| | - Sharmilee Rengarajan
- Donal O’Donoghue Renal Research Centre & Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - David I New
- Donal O’Donoghue Renal Research Centre & Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Darren Green
- Donal O’Donoghue Renal Research Centre & Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Philip A Kalra
- Donal O’Donoghue Renal Research Centre & Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, United Kingdom
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Imaizumi T, Fujii N, Hamano T, Yang W, Taguri M, Kansal M, Mehta R, Shafi T, Taliercio J, Go A, Rao P, Hamm LL, Deo R, Maruyama S, Fukagawa M, Feldman HI. Excess risk of cardiovascular events in patients in the United States vs. Japan with chronic kidney disease is mediated mainly by left ventricular structure and function. Kidney Int 2023; 103:949-961. [PMID: 36738890 PMCID: PMC10869952 DOI: 10.1016/j.kint.2023.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 12/31/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
While patients receiving dialysis therapy in the United States are more likely to develop cardiovascular disease (CVD) than those in Japan, direct comparisons of patients with predialysis chronic kidney disease (CKD) are rare. To study this, we compared various outcomes in patients with predialysis CKD using data from the Chronic Renal Insufficiency Cohort (CRIC) and CKD Japan Cohort (CKD-JAC) studies and determined mediators of any differences. Candidate mediators included left ventricular (LV) indices assessed by echocardiography. Among 3125 CRIC and 1097 CKD-JAC participants, the mean LV mass index (LVMI) and ejection fraction (EF) were 55.7 and 46.6 g/m2 and 54% and 65%, respectively (both significant). The difference in body mass index (32 and 24 kg/m2, respectively) largely accounted for the differences in LVMI and C-reactive protein levels across cohorts. Low EF and high LVMI were significantly associated with subsequent CVD in both cohorts. During a median follow-up of five years, CRIC participants were at higher risk for CVD (adjusted hazard ratio [95% confidence interval]: 3.66 [2.74-4.89]) and death (4.69 [3.05-7.19]). A three-fold higher C-reactive protein concentration and higher phosphate levels in the United States cohort were moderately strong mediators of the differences in CVD. However, echocardiographic parameters were stronger mediators than these laboratory measures. LVMI, EF and their combination mediated the observed difference in CVD (27%, 50%, and 57%, respectively) and congestive heart failure (33%, 62%, and 70%, respectively). Thus, higher LV mass and lower EF, even in the normal range, were found to be predictive of CVD in CKD.
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Affiliation(s)
- Takahiro Imaizumi
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan; Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan; Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Naohiko Fujii
- Medical and Research Center for Nephrology and Transplantation, Hyogo Prefectural Nishinomiya Hospital, Nishinomiya, Hyōgo, Japan
| | - Takayuki Hamano
- Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan; Department of Nephrology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
| | - Wei Yang
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Masataka Taguri
- Department of Health Data Science, Tokyo Medical University, Tokyo, Japan
| | - Mayank Kansal
- Department of Medicine, School of Medicine, University of Illinois, Chicago, Illinois, USA
| | - Rupal Mehta
- Division of Nephrology and Hypertension, Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Chicago, Illinois, USA; Department of Preventive Medicine Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Tariq Shafi
- School of Medicine, John Hopkins University, Baltimore, Maryland, USA
| | - Jonathan Taliercio
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio, USA
| | - Alan Go
- Departments of Epidemiology, Biostatistics and Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Panduranga Rao
- Department of Internal Medicine, Division of Nephrology, University of Michigan Health System, Ann Arbor, Michigan, USA
| | - L Lee Hamm
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Rajat Deo
- Departments of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shoichi Maruyama
- Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masafumi Fukagawa
- Department of Internal Medicine, Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Harold I Feldman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Hamano T, Imaizumi T, Hasegawa T, Fujii N, Komaba H, Ando M, Nangaku M, Nitta K, Hirakata H, Isaka Y, Wada T, Maruyama S, Fukagawa M. Biopsy-proven CKD etiology and outcomes: the Chronic Kidney Disease Japan Cohort (CKD-JAC) study. Nephrol Dial Transplant 2023; 38:384-395. [PMID: 35323977 PMCID: PMC9923708 DOI: 10.1093/ndt/gfac134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The Kidney Disease: Improving Global Outcomes guidelines advocate the cause-glomerular filtration rate (GFR)-albuminuria (CGA) classification for predicting outcomes. However, there is a dearth of data supporting the use of the cause of chronic kidney disease. This study aimed to address how to incorporate a prior biopsy-proven diagnosis in outcome prediction. METHODS We examined the association of biopsy-proven kidney disease diagnoses with kidney failure with replacement therapy (KFRT) and all-cause death before KFRT in patients with various biopsy-proven diagnoses (n = 778, analysis A) and patients with diabetes mellitus labeled with biopsy-proven diabetic nephropathy (DN), other biopsy-proven diseases and no biopsy (n = 1117, analysis B). RESULTS In analysis A, adding biopsy-proven diagnoses to the GFR-albuminuria (GA) classification improved the prediction of 8-year incidence of KFRT and all-cause death significantly regarding integrated discrimination improvement and net reclassification index. Fine-Gray (FG) models with KFRT as a competing event showed significantly higher subdistribution hazard ratios (SHRs) for all-cause death in nephrosclerosis {4.12 [95% confidence interval (CI) 1.11-15.2)], focal segmental glomerulosclerosis [3.77 (95% CI 1.09-13.1)]} and membranous nephropathy (MN) [2.91 (95% CI 1.02-8.30)] than in immunoglobulin A nephropathy (IgAN), while the Cox model failed to show significant associations. Crescentic glomerulonephritis had the highest risk of all-cause death [SHR 5.90 (95% CI 2.05-17.0)]. MN had a significantly lower risk of KFRT than IgAN [SHR 0.45 (95% CI 0.24-0.84)]. In analysis B, other biopsy-proven diseases had a lower risk of KFRT than biopsy-proven DN in the FG model, with death as a competing event [SHR 0.62 (95% CI 0.39-0.97)]. CONCLUSIONS The CGA classification is of greater value in predicting outcomes than the GA classification.
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Affiliation(s)
- Takayuki Hamano
- Department of Nephrology, Nagoya City University Graduate School of Medicine, Nagoya, Japan
- Department of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takahiro Imaizumi
- Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
- Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takeshi Hasegawa
- Showa University Research Administration Center
- Department of Hygiene, Public Health, and Preventive Medicine, Graduate School of Medicine
- Division of Nephrology, Department of Medicine, School of Medicine, Showa University, Tokyo, Japan
| | - Naohiko Fujii
- Medical and Research Center for Nephrology and Transplantation, Hyogo Prefectural Nishinomiya Hospital, Nishinomiya, Japan
| | - Hirotaka Komaba
- Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan
| | - Masahiko Ando
- Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, the University of Tokyo Hospital, Tokyo, Japan
| | - Kosaku Nitta
- Department of Medicine, Kidney Center, Tokyo Women's Medical University, Tokyo, Japan
| | | | - Yoshitaka Isaka
- Department of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takashi Wada
- Division of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Shoichi Maruyama
- Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masafumi Fukagawa
- Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan
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Kodera S, Morita H, Nishi H, Takeda N, Ando J, Komuro I. Cost-Effectiveness of Dapagliflozin for Chronic Kidney Disease in Japan. Circ J 2022; 86:2021-2028. [PMID: 36070962 DOI: 10.1253/circj.cj-22-0086] [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] [Indexed: 11/09/2022]
Abstract
BACKGROUND The cost-effectiveness of sodium-glucose cotransporter 2 (SGLT2) inhibitors for chronic kidney disease (CKD) has not been evaluated in Japan, so we analyzed the cost-effectiveness of dapagliflozin, an SGLT2 inhibitor, for CKD stages 3a and 3b. METHODS AND RESULTS We used the Markov model for CKD to assess the costs and benefits associated with and without dapagliflozin from a health system perspective. We estimated the incremental cost-effectiveness ratio (ICER), expressed as per quality-adjusted life-years (QALYs). An ICER <5 million Japanese yen (JPY)/QALY was judged to be cost-effective. The effect of dapagliflozin on renal and cardiovascular events was based on published clinical trials. In patients with CKD stage 3a, the ICER of dapagliflozin over standard treatment was 4.03 million JPY/QALY gained. With a cost-effectiveness threshold of 5 million JPY/QALY gained, the cost-effectiveness probability of dapagliflozin over standard treatment was 52.6%. In patients with CKD stage 3b, the ICER of dapagliflozin over standard treatment was 0.12 million JPY/QALY gained. The cost-effectiveness probability of dapagliflozin over standard treatment was 75.2%. CONCLUSIONS The results seemed to show acceptable cost-effectiveness when dapagliflozin was used for CKD stage 3b. On the other hand, cost-effectiveness of dapagliflozin for CKD stage 3a was ambiguous, and further validation is needed.
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Affiliation(s)
- Satoshi Kodera
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Hiroshi Nishi
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo
| | - Norifumi Takeda
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Jiro Ando
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Issei Komuro
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
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