Evidence map›Paper›PMID 39102051›Full record

ArticleWiener klinische Wochenschrift2024

Predicting future medical needs and mortality risk in geriatric long-term care patients : Development and validation of the Nascher score and revised Nascher score.

Thomas E Dorner, Michael Smeikal, Matthias Unseld, Christoph Gisinger

Abstract readValidation Study
In one paragraph

Article in Wiener klinische Wochenschrift, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Haus der Barmherzigkeit: Birthplace of Geriatrics.Wiener medizinische Wochenschrift (1946) · 2026
    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

4 authors.

Thomas E DornerAcademy for Ageing Research, Haus der Barmherzigkeit, Seeböckgasse 30a, 1160, Vienna, Austria. thomas.dorner@hb.at.ORCID http://orcid.org/0000-0002-5218-1160
Michael SmeikalAcademy for Ageing Research, Haus der Barmherzigkeit, Seeböckgasse 30a, 1160, Vienna, Austria.
Matthias UnseldAcademy for Ageing Research, Haus der Barmherzigkeit, Seeböckgasse 30a, 1160, Vienna, Austria.
Christoph GisingerAcademy for Ageing Research, Haus der Barmherzigkeit, Seeböckgasse 30a, 1160, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChoosing the right intensity of medical care is a huge challenge particularly in long-term geriatric care. The Nascher score was developed to assess future medical care needs. The aim of this study was to determine whether the Nascher score and a revised version can predict future medical needs.

methodsIn this retrospective cohort study, 396 residents in long-term care hospitals, who were admitted over a period of two years and followed up to two and a half yeare, were analysed. Outcome parameters were: (1) number of medication changes, (2) number of ward doctor documentations and (3) number of acute illnesses treated with antibiotics, and mortality risk. Based on the first results, an alternative scoring of the Nascher score with 12 instead of 26 items was developed, called the revised Nascher score.

resultsThe Nascher score significantly correlated with the number of medication changes, the number of ward doctor documentations, and the number of acute ilnesses treated with antibiotics with Spearman correlation coefficients of 0.30, 0.26, and 0.15, respectively. The revised Nascher score showed a higher correlation with correlation coefficients of 0.36, 0.26, and 0.21, respectively. Residents with a Nascher score in the highest quartile had a significantly higher mortality risk than residents in the lowest quartile (hazard ratio, HR 2.97, 95% confidence interval, CI 1.80-4.34). The corresponding values for the revised Nascher score were HR 3.03, 95% CI 2.03-4.54 in the highest and HR 1.80, 95% CI 1.24-2.60 in the middle quartiles.

conclusionThe Nascher score and even more so the revised Nascher score are well suited to predicting the various parameters of future medical needs and mortality risk.

Indexed as

Geriatric AssessmentLong-Term CareAgedAged, 80 and overAustriaCohort StudiesFemaleForecastingHumansMaleNeeds AssessmentPrognosisReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsAssessment of medical care needsGerontologyMedical effortNursing hospitalRisk of death

Identifiers

PMID39102051
PMCPMC11390801

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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.