Evidence map›Paper›PMID 35229151›Full record

ArticleAmerican journal of critical care : an official publication, American Association of Critical-Care Nurses2022

Healthy Aging Brain Care Monitor, Caregiver Version: Screening for Post-Intensive Care Syndrome.

Sophia Wang, Yameena Jawed, Anthony Perkins, Sujuan Gao, Sarah Seyffert, Sikandar Khan, Malaz Boustani, Babar Khan

Open access · greenAbstract read
In one paragraph

Article in American journal of critical care : an official publication, American Association of Critical-Care Nurses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Trial
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  6. Observational
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

8 authors at 6 institutions in 1 country.

Sophia WangSophia Wang is an assistant professor, Department of Psychiatry, and the outreach, recruitment, and engagement core leader, Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis.
Yameena JawedYameena Jawed is a fellow, Division of Sleep Medicine, Department of Neurology, University of California San Francisco.
Anthony PerkinsAnthony Perkins is a biostatistician, Department of Biostatistics, Indiana University School of Medicine.
Sujuan GaoSujuan Gao is a professor, Department of Biostatistics, Indiana University School of Medicine.
Sarah SeyffertSarah Seyffert is a resident physician, Department of Internal Medicine, Indiana University School of Medicine.
Sikandar KhanSikandar Khan is an assistant professor, Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, and a research scientist, Center for Health Innovation and Implementation Science, Indiana University School of Medicine and IU Center for Aging Research, Regenstrief Institute, Indianapolis.
Malaz BoustaniMalaz Boustani is a professor, Division of General Internal Medicine and Geriatrics, Department of Medicine, Indiana University School of Medicine, and the chief innovation and implementation officer, Center for Health Innovation and Implementation Science.
Babar KhanBabar Khan is a professor, Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, a researcher, Center for Health Innovation and Implementation Science, Indiana University School of Medicine; and a research scientist and codirector, IU Center for Aging Research, Regenstrief Institute.
Indiana University · USRegenstrief Institute · USBiostatistical Consulting (United States) · USCenter for Innovation · USIndiana University – Purdue University Indianapolis · USUniversity of California System · US

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Decreasing Alzheimer's Disease and Related Dementias after Delirium-Exercise and Cognitive Training (DDD-ECT)R01AG055391 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.5M
Mobile Critical Care Recovery Program (m-CCRP) for Acute Respiratory Failure (ARF) SurvivorsR01HL131730 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.2M
Decreasing Delirium through music (DDM) in critically ill older adults.R01AG067631 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI CHLAN, LINDA L, KHAN, BABAR A · 2019 to 2023
$2.3M
The Role of ICU Delirium and Vascular Risk Factors in the Development of Post-ICU Cognitive Impairment and DementiaK23AG062555 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WANG, SOPHIA · 2019 to 2023
$808k
The Role of COVID-19 Endothelial Cell Dysfunction and Hypercoagulability in the Development of Post-ICU Cognitive Impairment and DementiaR21AG074179 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WANG, SOPHIA · 2021 to 2022
$436k
NHLBI NIH HHS R01 HL131730NIA NIH HHS K23 AG062555NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG055391NIA NIH HHS R01 AG067631NIA NIH HHS R21 AG074179
6 · The paper itself

Abstract

backgroundCognitive impairment is common in intensive care unit survivors, pointing to the potential utility of a caregiver-based tool to screen for post-intensive care syndrome.

objectiveTo validate the Healthy Aging Brain Care Monitor, Caregiver Version (HABC-M CG), as a caregiver-based tool to screen for post-intensive care syndrome.

methodsA total of 116 patients who survived a stay in the intensive care unit completed standardized assessments of cognition, psychological symptoms, and physical functioning, and their caregivers completed the HABC-M CG. The Cronbach α was used to measure the internal consistency of the scale items. Validity of the HABC-M CG versus comparison tests was measured using the Spearman rank correlation. Generalized linear models were used to adjust for age, sex, and education level.

resultsThe total scale and all subscales of the HABC-M CG showed excellent internal consistency (Cronbach α = 0.88-0.93). Scores on the psychological subscale correlated with standardized measures of depressive symptoms (Spearman ρ = 0.58). Scores on the cognitive subscale correlated with the Mini-Mental State Examination score (Spearman ρ = -0.33). Scores on the functional subscale correlated with scores on the Physical Self-Maintenance Scale (Spearman ρ = -0.36).

conclusionThe HABC-M CG is a valid informant-based clinical tool for the assessment of symptoms of post- intensive care syndrome.

Indexed as

CaregiversHealthy AgingBrainCritical IllnessHumansPsychometricsReproducibility of Results

Identifiers

PMID35229151
PMCPMC9112132
OpenAlexW4214571182

What OpenQuestion holds

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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.