Prediction of Risk of Death for Patients Starting Dialysis: A Systematic Review and Meta-Analysis

被引:27
|
作者
Anderson, Ryan T. [1 ]
Cleek, Hailey [2 ]
Pajouhi, Atieh S. [3 ]
Bellolio, M. Fernanda [4 ]
Mayukha, Ananya [2 ]
Hart, Allyson [10 ,11 ]
Hickson, LaTonya J. [5 ,6 ]
Feely, Molly A. [7 ]
Wilson, Michael E. [2 ,8 ]
Connolly, Ryan M. Giddings [3 ]
Erwin, Patricia J. [9 ]
Majzoub, Abdul M. [8 ]
Tangri, Navdeep [12 ,13 ]
Thorsteinsdottir, Bjorg [2 ,3 ,6 ]
机构
[1] Mayo Clin, Sch Grad Med Educ, Rochester, MN USA
[2] Mayo Clin, Biomed Eth Program, Rochester, MN USA
[3] Mayo Clin, Div Community Internal Med, Rochester, MN USA
[4] Mayo Clin, Dept Emergency Med, Rochester, MN USA
[5] Mayo Clin, Div Nephrol & Hypertens, Rochester, MN USA
[6] Mayo Clin, Robert D & Patricia E Kern Ctr Sci Hlth Care Deli, Rochester, MN USA
[7] Mayo Clin, Div Gen Internal Med, Rochester, MN USA
[8] Mayo Clin, Div Pulm & Crit Care Med, Rochester, MN USA
[9] Mayo Clin, Mayo Med Lib, Rochester, MN USA
[10] Univ Minnesota, Dept Med, Box 736 UMHC, Minneapolis, MN 55455 USA
[11] Hennepin Cty Med Ctr, Minneapolis, MN 55415 USA
[12] Univ Manitoba, Seven Oaks Gen Hosp, Dept Med, Winnipeg, MB, Canada
[13] Univ Manitoba, Seven Oaks Gen Hosp, Dept Community Hlth Sci, Winnipeg, MB, Canada
基金
美国国家卫生研究院;
关键词
dialysis; mortality; mortality risk; Prognosis; peritoneal dialysis; Humans; Nephrologists; Renal Dialysis; Patient Selection; Area Under Curve; Cohort Studies; Acute Kidney Injury; Prevalence; Risk; Bias; Comorbidity; CHARLSON COMORBIDITY INDEX; STAGE RENAL-DISEASE; SHARED DECISION-MAKING; CHRONIC KIDNEY-DISEASE; ELDERLY-PATIENTS; PROGNOSTIC INDEX; EARLY MORTALITY; CENTERED CARE; END; SURVIVAL;
D O I
10.2215/CJN.00050119
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background and objectivesDialysis is a preference-sensitive decision where prognosis may play an important role. Although patients desire risk prediction, nephrologists are wary of sharing this information. We reviewed the performance of prognostic indices for patients starting dialysis to facilitate bedside translation.Design, setting, participants, & measurementsSystematic review and meta-analysis following the PRISMA guidelines. We searched Ovid MEDLINE, Ovid Embase, Ovid Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus for eligible studies of patients starting dialysis published from inception to December 31, 2018. Selection Criteria: Articles describing validated prognostic indices predicting mortality at the start of dialysis. We excluded studies limited to prevalent dialysis patients, AKI and studies excluding mortality in the first 1-3 months. Two reviewers independently screened abstracts, performed full text assessment of inclusion criteria and extracted: study design, setting, population demographics, index performance and risk of bias. Pre-planned random effects meta-analysis was performed stratified by index and predictive window to reduce heterogeneity.ResultsOf 12,132 articles screened and 214 reviewed in full text, 36 studies were included describing 32 prognostic indices. Predictive windows ranged from 3 months to 10 years, cohort sizes from 46 to 52,796. Meta-analysis showed discrimination area under the curve (AUC) of 0.71 (95% confidence interval, 0.69 to 073) with high heterogeneity (I-2=99.12). Meta-analysis by index showed highest AUC for The Obi, Ivory, and Charlson comorbidity index (CCI)=0.74, also CCI was the most commonly used (ten studies). Other commonly used indices were Kahn-Wright index (eight studies, AUC 0.68), Hemmelgarn modification of the CCI (six studies, AUC 0.66) and REIN index (five studies, AUC 0.69). Of the indices, ten have been validated externally, 16 internally and nine were pre-existing validated indices. Limitations include heterogeneity and exclusion of large cohort studies in prevalent patients.ConclusionsSeveral well validated indices with good discrimination are available for predicting survival at dialysis start.
引用
收藏
页码:1213 / 1227
页数:15
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