Evidence map›Paper›PMID 38587729›Full record

ArticleJournal of general internal medicine2024

Exploring the Association of Metabolic Syndrome with In-Hospital Survival of Older Patients Hospitalized with COVID-19: Beyond Chronological Age.

Valerie Danesh, Alaina Tellson, Leanne M Boehm, Alan B Stevens, Gerald O Ogola, Anisha Shrestha, Jinmyoung Cho, Edgar J Jimenez, Alejandro C Arroliga

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Valerie DaneshCenter for Applied Health Research, Baylor Scott & White Research Institute, Dallas, TX, USA. Valerie.Danesh@BSWHealth.org.ORCID 0000-0002-2078-2578
Alaina TellsonNursing Research, Baylor Scott & White Health, Dallas, TX, USA.
Leanne M BoehmSchool of Nursing, Vanderbilt University, Nashville, TN, USA.
Alan B StevensCenter for Applied Health Research, Baylor Scott & White Research Institute, Dallas, TX, USA.
Gerald O OgolaBiostatistics, Baylor Scott & White Research Institute, Dallas, TX, USA.
Anisha ShresthaData Core, Baylor Scott & White Research Institute, Dallas, TX, USA.
Jinmyoung ChoCenter for Applied Health Research, Baylor Scott & White Research Institute, Dallas, TX, USA.
Edgar J JimenezBaylor Scott & White Health, Dallas, TX, USA.
Alejandro C ArroligaDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.

Funding

Telehealth-Enhanced Patient-Oriented Recovery Trajectory After Intensive CareR01AG077644 · NIA · VANDERBILT UNIVERSITY · PI Leanne M Boehm · 2023 to 2026
$3.1M
Driving Rehabilitation and Innovation for Evaluating Risk in Post-Intensive Care Unit Survivors (DRIVE-PICS)R21AG080339 · NIA · BAYLOR RESEARCH INSTITUTE · PI DANESH, VALERIE, MCDONALD, ANTHONY D. · 2023 to 2024
$457k
Baylor Scott and White Dallas Foundation CVRRC-2020-02NIA NIH HHS R01 AG077644NIA NIH HHS R21 AG080339Society of Critical Care Medicine (US) SCCM-PEEP-05
6 · The paper itself

Abstract

backgroundDespite the variability and complexity of geriatric conditions, few COVID-19 reports of clinical characteristic prognostication provide data specific to oldest-old adults (over age 85), and instead generally report broadly as 65 and older.

objectiveTo examine metabolic syndrome criteria in adults across 25 hospitals with variation in chronological age. DESIGN AND

participantsThis cohort study examined 39,564 hospitalizations of patients aged 18 or older with COVID-19 who received inpatient care between March 13, 2020, and February 28, 2022. EXPOSURE: ICU admission and/or in-hospital mortality. MAIN MEASURES: Metabolic syndrome criteria and patient demographics were examined as risk factors. The main outcomes were admission to ICU and hospital mortality. KEY

resultsOldest old patients (≥ 85 years) hospitalized with COVID-19 accounted for 7.0% (2758/39,564) of all adult hospitalizations. They had shorter ICU length of stay, similar overall hospitalization duration, and higher rates of discharge destinations providing healthcare services (i.e., home health, skilled nursing facility) compared to independent care. Chronic conditions varied by age group, with lower proportions of diabetes and uncontrolled diabetes in the oldest-old cohort compared with young-old (65-74 years) and middle-old (75-84 years) groups. Evaluations of the effect of metabolic syndrome and patient demographics (i.e., age, sex, race) on ICU admission demonstrate minimal change in the magnitude of effect for metabolic syndrome on ICU admission across the different models.

conclusionsMetabolic syndrome measures are important individual predictors of COVID-19 outcomes. Building on prior examinations that metabolic syndrome is associated with death and ARDS across all ages, this analysis supports that metabolic syndrome criteria may be more relevant than chronological age as risk factors for poor outcomes attributed to COVID-19.

Indexed as

COVID-19HospitalizationHospital MortalityMetabolic SyndromeAdultAgedAged, 80 and overAge FactorsCohort StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedRisk FactorsSARS-CoV-2acute careCOVID-19 pandemicgerontologyintensive care unitolder adultsoldest oldrespiratory diseases

Identifiers

PMID38587729
PMCPMC11282001

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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.