Evidence map›Paper›PMID 40232648›Full record

ArticleJournal of nephrology2025

Short-term prognostic score for very elderly patients, aged 85 or older, initiating hemodialysis.

Daisuke Mori, Masato Hayashi, Ryoko Honda, Haruna Tanoue, Midori Kobayashi, Motoko Shimada, Shinjiro Tamai, Hiroki Nomi, Katsuyuki Nagatoya, Atsushi Yamauchi

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Article in Journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Daisuke MoriDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan. mori@osakah.johas.go.jp.
Masato HayashiDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Ryoko HondaDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Haruna TanoueDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Midori KobayashiDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Motoko ShimadaDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Shinjiro TamaiDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Hiroki NomiDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Katsuyuki NagatoyaDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.
Atsushi YamauchiDepartment of Nephrology, Osaka Rosai Hospital, 1179-3 Nagasone, 1179-3 Nagasone, Sakai, Osaka, 591-8025, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the population ages, factors affecting prognosis after dialysis initiation in very elderly patients remain unclear. We aimed to develop a prognostic score to predict short-term survival in this group.

methodsThis retrospective cohort study included 116 patients aged 85 or older who initiated hemodialysis at our hospital between 2010 and 2023, out of a total of 2279 patients. Using a Cox regression model, we analyzed factors affecting 3-year all-cause mortality. Based on these analyses, a prognostic scoring system was developed to predict patient outcomes.

resultsBaseline factors independently associated with mortality (hazard ratio (HR), 95% confidence interval (CI)) included body mass index (BMI) < 18.5 (2.14, 1.17-3.91), cardiovascular disease (2.16, 1.10-4.22), advanced cancer (4.65, 1.73-12.5), impaired walking (2.33, 1.17-4.64), emergency dialysis without fistula (1.88, 1.03-3.44), fluid overload (2.70, 1.43-5.07), serum albumin < 3.0 g/dL (2.32, 1.25-4.32), and C reactive protein (CRP) > 0.5 mg/dL (3.87, 1.85-8.10). A scoring system was developed, assigning 1 point each for BMI < 18.5, cardiovascular disease, impaired ambulation, emergency dialysis without fistula, fluid overload, and serum albumin < 3.0 g/dL, and 2 points for advanced cancer and CRP > 0.5 mg/dL. The score demonstrated an area under the ROC curve of 0.83. The hazard ratios for 3-year mortality for scores of 4-5 and 6 or higher, compared to 0-3, were 2.55 (95% CI: 1.04-6.23) and 7.10 (3.36-15.0), respectively (P for trend < 0.001). Subgroup analyses confirmed the score's robustness.

conclusionThe prognostic score for 3-year mortality in very elderly patients who initiate dialysis should be validated in different populations and is expected to inform decisions regarding dialysis initiation.

Indexed as

Decision Support TechniquesRenal DialysisAged, 80 and overAge FactorsBody Mass IndexFemaleHumansMalePredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeHemodialysisPrognosisVery elderly

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.