Evidence map›Paper›PMID 35439970›Full record

ArticleBMC geriatrics2022

Trajectories of physical frailty and cognitive impairment in older adults in United States nursing homes.

Yiyang Yuan, Kate L Lapane, Jennifer Tjia, Jonggyu Baek, Shao-Hsien Liu, Christine M Ulbricht

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Yiyang YuanClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA. yiyang.yuan@umassmed.edu.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Jennifer TjiaDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Shao-Hsien LiuDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Christine M UlbrichtFormerly: Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
University of Massachusetts Chan Medical School · USNational Institute of Mental Health · CZ

Funding

Person-centered approaches for understanding suicidal ideation and behaviors among nursing home residentsR01MH117586 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAPANE, KATE L · 2018 to 2021
$1.9M
Concurrent trajectories of physical frailty and cognitive impairment among nursing home residents and community-dwelling older adultsK00AG068591 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YUAN, YIYANG · 2022 to 2025
$357k
Concurrent trajectories of physical frailty and cognitive impairment among nursing home residents and community-dwelling older adultsF99AG068591 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YUAN, YIYANG · 2020 to 2021
$68k
NIA NIH HHS F99 AG068591NIA NIH HHS K00 AG068591NIMH NIH HHS R01 MH117586
6 · The paper itself

Abstract

backgroundU.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents.

methodsThis national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014-16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents' characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories.

resultsOver the course of the first six months post-admission, five physical frailty trajectories ["Consistently Frail" (prevalence: 53.0%), "Consistently Pre-frail" (29.0%), "Worsening Frailty" (7.6%), "Improving Frailty" (5.5%), and "Consistently Robust" (4.8%)] and three cognitive impairment trajectories ["Consistently Severe Cognitive Impairment" (35.5%), "Consistently Moderate Cognitive Impairment" (31.8%), "Consistently Intact/Mild Cognitive Impairment" (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of "Consistently Frail" and "Consistently Severe Cognitive Impairment". Characteristics associated with higher odds of the "Improving Frailty", "Worsening Frailty", "Consistently Pre-frail" and "Consistently Frail" trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the "Consistently Moderate Cognitive Impairment" and "Consistently Severe Cognitive Impairment" included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics.

conclusionsFindings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents' characteristics in older adults' first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals.

Indexed as

Cognitive DysfunctionFrailtyAgedAged, 80 and overFrail ElderlyGeriatric AssessmentHumansLongitudinal StudiesNursing HomesPhysical ExaminationUnited StatesCognitive impairmentGroup-based trajectory modelNursing homePhysical frailtyTrajectory

Identifiers

PMID35439970
PMCPMC9017032
OpenAlexW4224252519

What OpenQuestion holds

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LicenceCC BY
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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.