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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Hospital ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Hospital Medicine
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
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Factors predicting prolonged hospital stay for infants with bronchiolitis

Authors: Michael C, Weisgerber; Patricia S, Lye; Shun-Hwa, Li; Deborah, Bakalarski; Rainer, Gedeit; Pippa, Simpson; Marc H, Gorelick;

Factors predicting prolonged hospital stay for infants with bronchiolitis

Abstract

AbstractBACKGROUND:Prior prediction models for length of stay (LOS) in bronchiolitis have focused more on birth‐ and disease‐related risk factors than on early hospital course factors, particularly common clinical markers including respiratory status and caloric intake.OBJECTIVES:1) Study the associations of various clinical markers and LOS; and 2) develop a LOS prediction model.DESIGN:Retrospective cohort study.SETTING:Children's Hospital of Wisconsin.PATIENTS:Inclusion criteria were: age <365 days old; admission between November 1, 2004 and April 15, 2005; final diagnosis of bronchiolitis; placement on the bronchiolitis treatment protocol; and lack of concurrent condition impacting LOS.RESULTS:During the study period, 272/347 infants admitted with bronchiolitis met inclusion criteria. On hospital day 2, infants in the prolonged LOS group (≥108 hours) had a significantly greater number of hours on supplemental oxygen, maximum supplemental oxygen use, minimum supplemental oxygen use, maximum respiratory rate, mean respiratory score, and number of times suctioned. They had significantly lower minimum oxygen saturation and caloric intake. Recursive partitioning demonstrated five variables (hours of supplemental oxygen, maximum respiratory rate, minimum supplemental oxygen use, gestation, and caloric intake) to predict short or prolonged LOS with an area under the receiver‐operator characteristic curve of 0.89/0.72 in the learning/test trees; sensitivity, 0.85; and specificity, 0.82.CONCLUSIONS:There are important differences between infants with bronchiolitis having short and prolonged hospital stays, including several clinical markers identifiable on hospital day 2. This model may be a useful prediction tool for targeting early interventions for high‐risk infants. Journal of Hospital Medicine 2011. © 2011 Society of Hospital Medicine

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Keywords

Male, Oxygen Inhalation Therapy, Infant, Length of Stay, Cohort Studies, Hospitalization, Bronchiolitis, Humans, Female, Forecasting, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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