Factors predicting prolonged hospital stay for infants with bronchiolitis
β Scribed by Michael C. Weisgerber; Patricia S. Lye; Shun-Hwa Li; Deborah Bakalarski; Rainer Gedeit; Pippa Simpson; Marc H. Gorelick
- Book ID
- 102343656
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 452 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1553-5592
- DOI
- 10.1002/jhm.903
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
BACKGROUND:
Prior prediction models for length of stay (LOS) in bronchiolitis have focused more on birthβ and diseaseβrelated risk factors than on early hospital course factors, particularly common clinical markers including respiratory status and caloric intake.
OBJECTIVES:
- 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 (β₯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 receiverβoperator 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 highβrisk infants. Journal of Hospital Medicine 2011. Β© 2011 Society of Hospital Medicine
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