Evidence map›Paper›PMID 33831010›Full record

ArticlePloS one2021

Risk factors for delirium among hospitalized patients in Zambia.

Justin K Banerdt, Kondwelani Mateyo, Yan Yan, Dandan Liu, Yi Zuo, Chiara Di Gravio, Julia C Thome, Elisabeth D Riviello, Deanna Saylor, E Wesley Ely and 1 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Justin K BanerdtDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0003-3395-1673
Kondwelani MateyoUniversity of Zambia School of Medicine, Lusaka, Zambia.
Yan YanDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Dandan LiuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Yi ZuoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Chiara Di GravioDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Julia C ThomeDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Elisabeth D RivielloBeth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Deanna SaylorUniversity of Zambia School of Medicine, Lusaka, Zambia.
E Wesley ElyCritical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Douglas C HeimburgerUniversity of Zambia School of Medicine, Lusaka, Zambia.ORCID 0000-0003-3551-9710

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
FIC NIH HHS D43 TW009337NCATS NIH HHS UL1 TR002243
6 · The paper itself

Abstract

objectiveTo identify risk factors for delirium among hospitalized patients in Zambia.

methodsWe conducted a prospective cohort study at the University Teaching Hospital in Lusaka, Zambia, from October 2017 to April 2018. We report associations of exposures including sociodemographic and clinical factors with delirium over the first three days of hospital admission, assessed using a modified Brief Confusion Assessment Method (bCAM).

findings749 patients were included for analysis (mean age, 42.9 years; 64.8% men; 47.3% with HIV). In individual regression analyses of potential delirium risk factors adjusted for age, sex and education, factors significantly associated with delirium included being divorced/widowed (OR 1.64, 95% CI 1.09-2.47), lowest tercile income (OR 1.58, 95% CI 1.04-2.40), informal employment (OR 1.97, 95% CI 1.25-3.15), untreated HIV infection (OR 2.18, 95% CI 1.21-4.06), unknown HIV status (OR 2.90, 95% CI 1.47-6.16), history of stroke (OR 2.70, 95% CI 1.15-7.19), depression/anxiety (OR 1.52, 95% CI 1.08-2.14), alcohol overuse (OR 1.96, 95% CI 1.39-2.79), sedatives ordered on admission (OR 3.77, 95% CI 1.70-9.54), severity of illness (OR 2.00, 95% CI 1.82-2.22), neurological (OR 7.66, 95% CI 4.90-12.24) and pulmonary-system admission diagnoses (OR 1.91, 95% CI 1.29-2.85), and sepsis (OR 2.44, 95% CI 1.51-4.08). After combining significant risk factors into a multivariable regression analysis, severity of illness, history of stroke, and being divorced/widowed remained predictive of delirium (p<0.05).

conclusionAmong hospitalized adults at a national referral hospital in Zambia, severity of illness, history of stroke, and being divorced/widowed were independently predictive of delirium. Extension of this work will inform future efforts to prevent, detect, and manage delirium in low- and middle-income countries.

Indexed as

AdultComorbidityDeliriumFemaleHospitals, TeachingHumansInpatientsMaleMental HealthMiddle AgedSocioeconomic FactorsZambia

Identifiers

PMID33831010
PMCPMC8031188

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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.