Evidence map›Paper›PMID 35930547›Full record

ArticlePloS one2022

Development and validation of a new prognostic index for mortality risk in multimorbid adults.

Viktoria Gastens, Arnaud Chiolero, Daniela Anker, Claudio Schneider, Martin Feller, Douglas C Bauer, Nicolas Rodondi, Cinzia Del Giovane

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Viktoria GastensInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.ORCID 0000-0002-6421-9867
Arnaud ChioleroInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Daniela AnkerDepartment of Community Health, Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.ORCID 0000-0002-0607-0283
Claudio SchneiderDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Martin FellerInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.ORCID 0000-0003-2519-836X
Douglas C BauerDepartments of Medicine and Epidemiology & Biostatistics, University of California, San Francisco, CA, United States of America.
Nicolas RodondiInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Cinzia Del Giovane *Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMultimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop and internally validate a 1-year mortality prognostic index for older multimorbid adults.

methodsWe analysed data of the OPERAM cohort study in Bern, Switzerland, including 822 adults aged 70 years or more with multimorbidity (3 or more chronic medical conditions) and polypharmacy (use of 5 drugs or more for >30 days). Time to all-cause mortality was assessed up to 1 year of follow-up. We performed a parametric Weibull regression model with backward stepwise selection to identify mortality risk predictors. The model was internally validated and optimism corrected using bootstrapping techniques. We derived a point-based risk score from the regression coefficients. Calibration and discrimination were assessed by the calibration slope and C statistic.

results805 participants were included in the analysis. During 1-year of follow-up, 158 participants (20%) had died. Age, Charlson-Comorbidity-Index, number of drugs, body mass index, number of hospitalizations, Barthel-Index (functional impairment), and nursing home residency were predictors of 1-year mortality in a multivariable model. Using these variables, the 1-year probability of dying could be predicted with an optimism-corrected C statistic of 0.70. The optimism-corrected calibration slope was 0.93. Based on the derived point-based risk score to predict mortality risk, 7% of the patients classified at low-risk of mortality, 19% at moderate-risk, and 37% at high-risk died after one year of follow-up. A simpler mortality score, without the Charlson-Comorbidity-Index and Barthel-Index, showed reduced discriminative power (optimism-corrected C statistic: 0.59) compared to the full score.

conclusionWe developed and internally validated a mortality risk index including for the first-time specific predictors for multimorbid adults. This new 1-year mortality prediction point-based score allowed to classify multimorbid older patients into three categories of increasing risk of mortality. Further validation of the score among various populations of multimorbid patients is needed before its implementation into practice.

Indexed as

MultimorbidityAgedChronic DiseaseCohort StudiesHumansPrognosisRisk Factors

Identifiers

PMID35930547
PMCPMC9355209

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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.