Evidence map›Paper›PMID 22709565›Full record

ArticleRespiratory care2013

The association between comorbid illness, colonization status, and acute hospitalization in patients receiving prolonged mechanical ventilation.

Avelino C Verceles, Elizabeth J Lechner, David Halpin, Steven M Scharf

Abstract read
In one paragraph

Article in Respiratory care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Avelino C VercelesDivision of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Elizabeth J Lechner
David Halpin
Steven M Scharf

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
NIA NIH HHS P30 AG028747
6 · The paper itself

Abstract

backgroundLong-term acute care (LTAC) hospitals provide specialized care for survivors of critical illness who require prolonged mechanical ventilation. These chronically ill patients often have multiple comorbidities and are colonized with antibiotic-resistant organisms. We investigated the association of comorbidities and colonization status with outcomes in patients requiring prolonged mechanical ventilation in an LTAC facility. We hypothesized that comorbidity burden and colonization with multiple drug resistant organisms would be associated with worse clinical outcomes.

methodsWe performed a retrospective, cohort study of 157 mechanically ventilated subjects in an urban LTAC facility admitted from January 2007 to September 2009. Comorbidity burden was documented from pre-admission data using the Charlson Comorbidity Index. Colonization data were obtained from surveillance cultures. Outcomes studied included transfer back to acute care facilities, stay, and ventilator weaning status.

resultsWithin 60 days, 58.6% of subjects were transferred back to an acute care facility. The most common reason for transfer was infection/sepsis (37%). The Charlson Comorbidity Index of subjects transferred to acute care, versus those who were not, was 4.9 ± 3.1 versus 3.6 ± 2.7 (P = .01), an odds ratio of 1.1 for each 1-point increase in Charlson Comorbidity Index (95% CI 1.03-1.71, P = .02). Colonization with acinetobacter was associated with higher incidence of transfer (71% vs 51%, P = .01). The odds ratio for transfer to acute care was 1.3 for each additional organism colonizing a subject (95% CI 1.11-1.53, P = .006).

conclusionsHigher comorbidity burden and colonization status were associated with increased risk of transfer to acute care. Further investigation is needed to clarify this relationship between comorbidity burden and colonization with change in clinical status.

Indexed as

Patient TransferRespiration, ArtificialSeverity of Illness IndexAcinetobacterAcinetobacter InfectionsAdultAgedAged, 80 and overCarrier StateComorbidityDiabetes MellitusDrug Resistance, Multiple, BacterialFemaleHumansHypertensionLength of Stay

Identifiers

PMID22709565
PMCPMC4582406

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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.