Evidence map›Paper›PMID 21649616›Full record

ArticleJournal of the American Geriatrics Society2011

A clinical index to stratify hospitalized older adults according to risk for new-onset disability.

Kala M Mehta, Edgar Pierluissi, W John Boscardin, Katharine A Kirby, Louise C Walter, Mary-Margaret Chren, Robert M Palmer, Steven R Counsell, C Seth Landefeld

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. The Acute Care for Elders Unit Model of Care.Geriatrics (Basel, Switzerland) · 2018
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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

9 authors.

Kala M MehtaDivision of Geriatrics, University of California at San Francisco, San Francisco, CA 94121, USA. Kala.mehta@ucsf.edu
Edgar Pierluissi
W John Boscardin
Katharine A Kirby
Louise C Walter
Mary-Margaret Chren
Robert M Palmer
Steven R Counsell
C Seth Landefeld

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Torsten Brian Neilands · 1997 to 2026
$19.5M
Patient-Oriented Research in Skin DiseasesK24AR052667 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHREN, MARY-MARGARET · 2005 to 2014
$1.8M
Prostate-Specific Antigen Practices and Outcomes in the ElderlyR01CA134425 · NCI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WALTER, LOUISE C. · 2009 to 2013
$1.7M
Risk Indices for Disability among Hospitalized Older PersonsR01AG029233 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LANDEFELD, C. SETH · 2006 to 2008
$1.0M
Racial Disparities-Congitive Impairment/Health Outcomespa00-019K01AG025444 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MEHTA, KALA M · 2005 to 2009
$581k
PREVENTING FUNCTIONAL DECLINE OF HOSPITALIZED OLDER PATIENTSP60AG010418 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI KOWAL, JEROME · 1993 to 1997
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NCI NIH HHS R01 CA134425NCI NIH HHS R01CA134425-01A2NIAMS NIH HHS K24 AR052667NIA NIH HHS AG-10418-03NIA NIH HHS K-01AG025444NIA NIH HHS K01 AG025444NIA NIH HHS P30 AG015272NIA NIH HHS P30 AG 15272 350NIA NIH HHS R01 AG029233
6 · The paper itself

Abstract

backgroundMany older adults who are independent prior to hospitalization develop a new disability by hospital discharge. Early risk stratification for new-onset disability may improve care. Thus, this study's objective was to develop and validate a clinical index to determine, at admission, risk for new-onset disability among older, hospitalized adults at discharge.

designData analyses derived from two prospective studies.

settingTwo teaching hospitals in Ohio.

participantsEight hundred eighty-five patients aged 70 years and older were discharged from a general medical service at a tertiary care hospital (mean age 78, 59% female) and 753 patients discharged from a separate community teaching hospital (mean age 79, 63% female). All participants reported being independent in five activities of daily living (ADLs: bathing, dressing, transferring, toileting, and eating) 2 weeks before admission. MEASUREMENTS: New-onset disability, defined as a new need for personal assistance in one or more ADLs at discharge in participants who were independent 2 weeks before hospital admission.

resultsSeven independent risk factors known on admission were identified and weighted using logistic regression: age (80-89, 1 point; ≥90, 2 points); dependence in three or more instrumental ADLs at baseline (2 points); impaired mobility at baseline (unable to run, 1 point; unable to climb stairs, 2 points); dependence in ADLs at admission (2-3 ADLs, 1 point; 4-5 ADLs, 3 points); acute stroke or metastatic cancer (2 points); severe cognitive impairment (1 point); and albumin less than 3.0 g/dL (2 points). New-onset disability occurred in 6%, 13%, 18%, 34%, 35%, 45%, 50%, and 87% of participants with 0, 1, 2, 3, 4, 5, 6, and 7 or more points, respectively, in the derivation cohort (area under the receiver operating characteristic curve (AUC)=0.784), and in 8%, 10%, 27%, 38%, 44%, 45%, 58%, and 83%, respectively, in the validation cohort (AUC=0.784). The risk score also predicted (P<.001) disability severity, nursing home placement, and long-term survival.

conclusionThis clinical index determines risk for new-onset disability in hospitalized older adults and may inform clinical care.

Indexed as

Activities of Daily LivingAgedAged, 80 and overCognition DisordersFemaleHospitalizationHumansInpatientsLogistic ModelsMaleMobility LimitationNeoplasmsPatient AdmissionProspective StudiesRisk FactorsStroke

Identifiers

PMID21649616
PMCPMC3839864

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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.