Evidence map›Paper›PMID 32780497›Full record

ArticleJournal of the American Geriatrics Society2020

Frailty, Cognitive Impairment, and Anticoagulation Among Older Adults with Nonvalvular Atrial Fibrillation.

Tanya Mailhot, David D McManus, Molly E Waring, Darleen Lessard, Robert Goldberg, Benita A Bamgbade, Jane S Saczynski

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  13. Impact of longitudinal data-completeness of electronic health record data on risk score misclassification.Journal of the American Medical Informatics Association : JAMIA · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Tanya MailhotDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts, USA.
David D McManusDivision of Cardiology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Molly E WaringDepartment of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.ORCID 0000-0002-9884-9824
Darleen LessardDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Robert GoldbergDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Benita A BamgbadeDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts, USA.
Jane S SaczynskiDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts, USA.
Northeastern University · USUniversity of Massachusetts Chan Medical School · USUniversity of Connecticut · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BRYAN O BUCHHOLZ, Nathaniel Scott Hafer · 2018 to 2026
$141.0M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01HL126911NHLBI NIH HHS R01HL13660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS R01HL141434NHLBI NIH HHS U54 HL143541NHLBI NIH HHS U54HL143541
6 · The paper itself

Abstract

BACKGROUND/

objectivesOral anticoagulation (OAC) is challenging in older patients with nonvalvular atrial fibrillation (NVAF) who are often frail and have cognitive impairment. We examined the characteristics of older NVAF patients associated with higher odds of physical and cognitive impairments. We also examined if these high-risk patients have different OAC prescribing patterns and their satisfaction with treatment because it may impact optimal management of their NVAF.

methodsThe patients in the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF study cohort 2016-2018) had NVAF, were aged 65 and older, and eligible for the receipt of OAC. Measures included frailty (Fried Frailty scale), cognitive impairment (Montreal Cognitive Assessment Battery), OAC prescribing and type (direct oral anticoagulant [DOAC] or vitamin K antagonist [VKA]), depressive symptoms (Patient Health Questionnaire-9), bleeding, stroke risk, and treatment benefit (Anti-Clot Treatment Scale).

resultsPatients (n = 1,244) were 49% female, aged 76 (standard deviation = 7) years. A total of 14% were frail, and 42% had cognitive impairment. Frailty and cognitive impairment co-occurred in 9%. Odds of having both impairments versus none were higher with depression (odds ratio [OR] = 4.62; 95% confidence interval [CI] = 2.59-8.26), older age (OR = 1.56; 95% CI = 1.29-1.88), lower education (OR = 3.81; 95%CI = 2.13-6.81), race/ethnicity other than non-Hispanic White (OR = 7.94; 95% CI = 4.34-14.55), bleeding risk (OR = 1.43; 95% CI = 1.12-1.81), and stroke risk (OR = 1.35; 95% CI = 1.13-1.62). OAC prescribing was not associated with CI and frailty status. Among patients taking OACs (85%), those with both impairments were more likely to take DOAC than VKA (OR = 1.69; 95% CI = 1.01-2.80). Having both impairments (OR = 1.87; 95% CI = 1.08-3.27) or cognitive impairment (OR = 1.56; 95% CI = 1.09-2.24) was associated with higher odds of reporting lower treatment benefit.

conclusionIn a large cohort of older NVAF patients, half were frail or cognitively impaired, and 9% had both impairments. We highlight the characteristics of patients who may benefit from cognitive and physical function screenings to maximize treatment and enhance prognosis. Finally, the co-occurrence of impairment was associated with low perceived benefit of treatment that may impede optimal management.

Indexed as

FrailtyAdministration, OralAgedAged, 80 and overAnticoagulantsAtrial FibrillationCognitive DysfunctionCohort StudiesDepressionFemaleHemorrhageHumansMaleMental Status and Dementia TestsStrokeAnticoagulantscognitive impairmentfrailtynonvalvular atrial fibrillationoral anticoagulation

Identifiers

PMID32780497
PMCPMC8567309
OpenAlexW3048853019

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.