Self-reported health change in haemodialysis recipients modulates the effect of frailty upon mortality and hospital admissions: outcomes from a large prospective UK cohort

被引:4
作者
Anderson, Benjamin M. [1 ,2 ]
Qasim, Muhammad [1 ,3 ]
Correa, Gonzalo [4 ]
Evison, Felicity [5 ]
Gallier, Suzy [5 ,6 ]
Ferro, Charles J. [1 ,7 ]
Jackson, Thomas A. [2 ,8 ]
Sharif, Adnan [1 ,3 ]
机构
[1] Queen Elizabeth Hosp, Dept Nephrol & Transplantat, Birmingham, W Midlands, England
[2] Univ Birmingham, Inst Inflammat & Ageing, Birmingham, W Midlands, England
[3] Univ Birmingham, Inst Immunol & Immunotherapy, Birmingham, W Midlands, England
[4] Hosp Salvador, Dept Nephrol, Santiago, Chile
[5] Queen Elizabeth Hosp, Dept Hlth Informat, Birmingham, W Midlands, England
[6] PIONEER HDR UK Hub Acute Care, Birmingham, W Midlands, England
[7] Univ Birmingham, Inst Cardiovasc Sci, Birmingham, W Midlands, England
[8] Queen Elizabeth Hosp, Dept Healthcare Older People, Birmingham, W Midlands, England
关键词
epidemiology; frailty; haemodialysis; hospitalization; survival analysis; DEFINITIONS; INSTRUMENTS; UTILITY;
D O I
10.1093/ndt/gfac287
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
Background Frailty among haemodialysis patients is associated with hospitalization and mortality, but high frailty prevalence suggests further discrimination of risk is required. We hypothesized that incorporation of self-reported health with frailty measurement may aid risk stratification. Methods Prospective cohort study of 485 prevalent haemodialysis recipients linked to English national datasets. Frailty Phenotype (FP), Frailty Index (FI), Edmonton Frail Scale (EFS), Clinical Frailty Scale (CFS) and self-reported health change were assessed. Mortality was explored using Fine and Gray regression, and admissions by negative binomial regression. Results Over a median 678 (interquartile range 531-812) days, there were 111 deaths, and 1241 hospitalizations. Increasing frailty was associated with mortality on adjusted analyses for FP [subdistribution hazard ratio (SHR) 1.26, 95% confidence interval (CI) 1.05-1.53, P = .01], FI (SHR 1.21, 95% CI 1.09-1.35, P = .001) and CFS (SHR 1.32, 95% CI 1.11-1.58, P = .002), but not EFS (HR 1.08, 95% CI 0.99-1.18, P = .1). Health change interacted with frailty tools to modify association with mortality; only those who rated their health as the same or worse experienced increased mortality hazard associated with frailty by FP (P-interaction = .001 and 0.035, respectively), FI (P-interaction = .002 and .007, respectively) and CFS (P-interaction = .009 and 0.02, respectively). CFS was the only frailty tool associated with hospitalization (incidence rate ratio 1.12, 95% CI 1.02-1.23, P = .02). Conclusions We confirm the high burden of hospitalization and mortality associated with haemodialysis patients regardless of frailty tool utilized and introduce the discriminatory ability of self-reported health to identify the most at-risk frail individuals.
引用
收藏
页码:1297 / 1308
页数:12
相关论文
共 40 条
[1]   Frailty and Mortality in Dialysis: Evaluation of a Clinical Frailty Scale [J].
Alfaadhel, Talal A. ;
Soroka, Steven D. ;
Kiberd, Bryce A. ;
Landry, David ;
Moorhouse, Paige ;
Tennankore, Karthik K. .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2015, 10 (05) :832-840
[2]   Correlations, agreement and utility of frailty instruments in prevalent haemodialysis patients: baseline cohort data from the FITNESS study [J].
Anderson, Benjamin M. ;
Qasim, Muhammad ;
Correa, Gonzalo ;
Evison, Felicity ;
Gallier, Suzy ;
Ferro, Charles J. ;
Jackson, Thomas A. ;
Sharif, Adnan .
CLINICAL KIDNEY JOURNAL, 2022, 15 (01) :145-152
[3]   Frailty Intervention Trial iN End-Stage patientS on haemodialysis (FITNESS): study protocol for a randomised controlled trial [J].
Anderson, Benjamin M. ;
Dutton, Mary ;
Day, Edward ;
Jackson, Thomas A. ;
Ferro, Charles J. ;
Sharif, Adnan .
TRIALS, 2018, 19
[4]   Practical recommendations for reporting Fine-Gray model analyses for competing risk data [J].
Austin, Peter C. ;
Fine, Jason P. .
STATISTICS IN MEDICINE, 2017, 36 (27) :4391-4400
[5]   The electronic frailty index as an indicator of community healthcare service utilisation in the older population [J].
Boyd, Penelope J. ;
Nevard, Matthew ;
Ford, John A. ;
Khondoker, Mizanur ;
Cross, Jane L. ;
Fox, Chris .
AGE AND AGEING, 2019, 48 (02) :273-277
[6]   Applicability of laboratory deficit-based frailty index in predominantly older patients with end-stage renal disease under chronic dialysis: A pilot test of its correlation with survival and self-reported instruments [J].
Chao, Chia-Ter ;
Huang, Jenq-Wen ;
Chiang, Chih-Kang ;
Hung, Kuan-Yu .
NEPHROLOGY, 2020, 25 (01) :73-81
[7]   A scoping review of the Clinical Frailty Scale [J].
Church, Sophie ;
Rogers, Emily ;
Rockwood, Kenneth ;
Theou, Olga .
BMC GERIATRICS, 2020, 20 (01)
[8]   Frailty Severity and Hospitalization After Dialysis Initiation [J].
Clark, David ;
Matheson, Kara ;
West, Benjamin ;
Vinson, Amanda ;
West, Kenneth ;
Jain, Arsh ;
Rockwood, Kenneth ;
Tennankore, Karthik .
CANADIAN JOURNAL OF KIDNEY HEALTH AND DISEASE, 2021, 8
[9]   Patient-reported outcome measures and their utility in the management of patients with advanced chronic kidney disease [J].
Ducharlet, Kathryn ;
Sundararajan, Vijaya ;
Philip, Jennifer ;
Weil, Jennifer ;
Barker, Nuala ;
Langham, Robyn G. ;
Burchell, Jodie ;
Gock, Hilton .
NEPHROLOGY, 2019, 24 (08) :814-818
[10]   Frailty in older adults: Evidence for a phenotype [J].
Fried, LP ;
Tangen, CM ;
Walston, J ;
Newman, AB ;
Hirsch, C ;
Gottdiener, J ;
Seeman, T ;
Tracy, R ;
Kop, WJ ;
Burke, G ;
McBurnie, MA .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2001, 56 (03) :M146-M156