Evidence map›Paper›PMID 39841475›Full record

ArticleJAMA network open2025

External Validation of the Walter Index for Posthospitalization Mortality Prediction in Older Adults.

Thiago J Avelino-Silva, Sei J Lee, Kenneth E Covinsky, Louise C Walter, W James Deardorff, John Boscardin, Flavia Campora, Claudia Szlejf, Claudia K Suemoto, Alexander K Smith

Abstract readValidation Study
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Thiago J Avelino-SilvaDivision of Geriatrics, School of Medicine, University of California San Francisco.
Sei J LeeDivision of Geriatrics, School of Medicine, University of California San Francisco.
Kenneth E CovinskyDivision of Geriatrics, School of Medicine, University of California San Francisco.
Louise C WalterDivision of Geriatrics, School of Medicine, University of California San Francisco.
W James DeardorffDivision of Geriatrics, School of Medicine, University of California San Francisco.
John BoscardinDivision of Geriatrics, School of Medicine, University of California San Francisco.
Flavia CamporaLaboratorio de Investigacao Medica em Envelhecimento (LIM-66), Servico de Geriatria, Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Claudia SzlejfDivision of Geriatrics, School of Medicine, University of California San Francisco.
Claudia K SuemotoDivision of Geriatrics, School of Medicine, University of California San Francisco.
Alexander K SmithDivision of Geriatrics, School of Medicine, University of California San Francisco.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
RESEARCH TRAINING IN GERIATRIC MEDICINET32AG000212 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 1991 to 2026
$7.7M
Mentoring Researchers in Prognosis Research in Alzheimer’s Disease and Related DementiasK24AG068312 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2020 to 2026
$1.2M
NIA NIH HHS K24 AG068312NIA NIH HHS P30 AG044281NIA NIH HHS T32 AG000212
6 · The paper itself

Abstract

Importance: The Walter Index is a widely used prognostic tool for assessing 12-month mortality risk among hospitalized older adults. Developed in the US in 2001, its accuracy in contemporary non-US contexts is unclear. Objective: To evaluate the external validity of the Walter Index in predicting posthospitalization mortality risk in Brazilian older adult inpatients. Design, Setting, and Participants: This prognostic study used data from a cohort of adults aged 70 years or older admitted to the geriatric unit of a university hospital in Brazil from January 1, 2009, to February 28, 2020. Participants underwent comprehensive geriatric assessments at admission, were reevaluated at discharge, and were subsequently followed up for 48 months. Data were analyzed from March to July 2024. Main Outcomes and Measures: The Walter Index, a score based on 6 risk factors (male sex, dependent activities of daily living at discharge, heart failure, cancer, high creatinine level, and low albumin level), was calculated to assess its predictive accuracy for 12-month mortality as well as 6-, 24-, and 48-month mortality. The study investigated whether incorporating delirium, frailty, or C-reactive protein level enhanced accuracy. Performance was assessed using discrimination, calibration, and clinical utility measures. Results: In total, 2780 participants (mean [SD] age, 81 [7] years; 1795 [65%] female) were included, with 89 (3%) lost to follow-up. The 12-month posthospitalization mortality rate was 23% (646 participants). Mortality was 7% (47 of 634) in the lowest-risk group (0-1 point), 17% (111 of 668) for 2 to 3 points, 25% (198 of 803) for 4 to 6 points, and 43% (290 of 675) in the highest-risk group (≥7 points). The index demonstrated an area under the receiver operating characteristic curve (AUC) of 0.714 (95% CI, 0.691-0.736) for predicting 12-month posthospitalization mortality (AUCs were 0.75 and 0.80 in the original derivation and validation cohorts, respectively). Comparable results were observed for mortality at 6 months (AUC, 0.726; 95% CI, 0.700-0.752), 24 months (AUC, 0.711; 95% CI, 0.691-0.730), and 48 months (AUC, 0.719; 95% CI, 0.700-0.738). Adding delirium modestly increased the index's discrimination (AUC, 0.723; 95% CI, 0.702-0.749); additionally including frailty and C-reactive protein level did not improve discrimination further (AUC, 0.723; 95% CI, 0.701-0.744). Conclusions and Relevance: In this prognostic study of hospitalized older adults in Brazil, the Walter Index showed similar discrimination in predicting postdischarge mortality as it did 2 decades ago in the US. These findings highlight the need for continuous validation and potential modification of established prognostic tools to improve their applicability across settings.

Indexed as

Geriatric AssessmentHospitalizationMortalityActivities of Daily LivingAgedAged, 80 and overBrazilFemaleHumansMalePrognosisReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

PMID39841475
PMCPMC11755200

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Registered trials

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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.