Evidence map›Paper›PMID 37706364›Full record

ArticleESC heart failure2023

Cognitive transitions based on functional status in older adults with heart failure: a population-based study.

Kensuke Morris, Misa Takegami, Kanako Teramoto, Shunsuke Murata, Kiyomasa Nakatsuka, Soshiro Ogata, Kunihiro Nishimura

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2023. 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
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Kensuke MorrisDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.ORCID 0000-0003-0535-5532
Misa TakegamiDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.ORCID 0000-0002-5240-8038
Kanako TeramotoDepartment of Biostatistics, National Cerebral and Cardiovascular Center, Suita, Japan.ORCID 0000-0002-4217-9497
Shunsuke MurataDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.
Kiyomasa NakatsukaDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.
Soshiro OgataDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.
Kunihiro NishimuraDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan.
National Cerebral and Cardiovascular Center · JPHyogo University of Health Sciences · JP

Funding

Japan Society for the Promotion of Science 20K10548Japan Society for the Promotion of Science 20K19476
6 · The paper itself

Abstract

aimsCognitive impairment and functional status are both important determinants of poor outcomes in heart failure (HF). However, little is known about how functional status impacts the changes in cognitive status during the disease course. This study aimed to describe the cognitive transitions in patients with HF and assess the relationship of these transitions to functional status, which was assessed by the dependency of activities of daily living (ADL). METHODS AND

resultsThis retrospective cohort study included 1764 patients with an International Classification of Diseases-10 code of HF (≥65 years, mean age 82.3 ± 7.9 years, 39% male) from a long-term care and medical insurance database from Nobeoka city, a rural city of south-western Japan. Cognitive status at baseline and 6, 12, 18, and 24 month time points was collected, and participants were stratified based on ADL status at baseline. Generalized estimating equations and multi-state modelling were used to examine associations between ADL dependency and cognitive changes/mortality. Transition probabilities were estimated using multi-state modelling. At baseline, there were 1279 (73%) and 485 (27%) patients with independent and dependent ADL, respectively. In overall patients, 1656 (93.9%) patients had normal/mild cognitive status and 108 (6%) patients had a moderate/severe cognitive status at baseline. The majority [104 (96%) patients] of patients with moderate/severe cognitive status at baseline had dependent ADL. In patients with moderate/severe cognitive status, the number of patients with dependent ADL always outnumbered that of the independent ADL throughout the follow-up. Multi-state modelling estimated that patients with dependent ADL and normal/mild cognitive status at baseline had 47% probability of maintaining the same cognitive status at 24 months, while the probability of maintaining the same cognitive status was 86% for those with independent ADL. Patients with normal/mild cognitive status in the dependent ADL group at baseline had a higher risk of experiencing a transition to moderate/severe cognitive status at any time point during 24 months compared with those with independent ADL [hazard ratio 5.24 (95% confidence interval 3.47-7.90)].

conclusionsIn older patients with HF, the prevalence of cognitive impairment was always higher for those with reduced functional status. Despite having a normal/mild cognitive status at baseline, patients with dependent ADL are at high risk of experiencing cognitive decline over 24 months with substantially less chance of maintaining their cognitive status. ADL dependency was an important risk factor of cognitive decline in patients with HF.

Indexed as

Activities of Daily LivingHeart FailureAgedAged, 80 and overCognitionFemaleFunctional StatusHumansMaleRetrospective StudiesActivities of daily livingCognitive impairmentFunctional statusHeart failureMulti-state modelOlder adults

Identifiers

PMID37706364
PMCPMC10682903
OpenAlexW4386726317

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LicenceCC BY-NC
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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.