Literature DB >> 30824493

Predicting Postoperative Physiologic Decline After Surgery.

Jay G Berry1,2, Connor Johnson3, Charis Crofton4, Steven J Staffa3, Maura DiTillio3, Izabela Leahy2,3, Joseph Salem5, Shawn J Rangel2,6, Sara J Singer7, Lynne Ferrari2,3.   

Abstract

BACKGROUND: Projecting postoperative recovery in pediatric surgical patients is challenging. We assessed how the patients' number of complex chronic conditions (CCCs) and chronic medications interacted with active health issues to influence the likelihood of postoperative physiologic decline (PoPD).
METHODS: A prospective study of 3295 patients undergoing elective surgery at a freestanding children's hospital. During preoperative clinical evaluation, active health problems, CCCs, and medications were documented. PoPD (compromise of cardiovascular, respiratory, and/or neurologic systems) was measured prospectively every 4 hours by inpatient nurses. PoPD odds were estimated with multivariable logistic regression. Classification and regression tree analysis distinguished children with the highest and lowest likelihood of PoPD.
RESULTS: Median age at surgery was 8 years (interquartile range: 2-15); 2336 (70.9%) patients had a CCC; and 241 (7.3%) used ≥11 home medications. During preoperative evaluation, 1556 (47.2%) patients had ≥1 active health problem. After surgery, 882 (26.8%) experienced PoPD. The adjusted odds of PoPD were 1.2 (95% confidence interval [CI]: 1.0-1.4) for presence versus absence of an active health problem; 1.4 (95% CI: 1.0-1.9) for ≥11 vs 0 home medications; and 2.2 (95% CI: 1.7-2.9) for ≥3 vs 0 CCCs. In classification and regression tree analysis, the lowest rate of PoPD (8.6%) occurred in children without an active health problem at the preoperative evaluation; the highest rate (57.2%) occurred in children with a CCC who used ≥11 home medications.
CONCLUSIONS: Greater than 1 in 4 pediatric patients undergoing elective surgery experienced PoPD. Combinations of active health problems at preoperative evaluation, polypharmacy, and multimorbidity distinguished patients with a low versus high risk of PoPD.
Copyright © 2019 by the American Academy of Pediatrics.

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Year:  2019        PMID: 30824493     DOI: 10.1542/peds.2018-2042

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  3 in total

1.  Machine Learning-Based Systems for the Anticipation of Adverse Events After Pediatric Cardiac Surgery.

Authors:  Patricia Garcia-Canadilla; Alba Isabel-Roquero; Esther Aurensanz-Clemente; Arnau Valls-Esteve; Francesca Aina Miguel; Daniel Ormazabal; Floren Llanos; Joan Sanchez-de-Toledo
Journal:  Front Pediatr       Date:  2022-06-27       Impact factor: 3.569

2.  Surgical site infections after pediatric open airway reconstruction-A National Surgical Quality Improvement Program-Pediatric analysis.

Authors:  Romaine F Johnson; Taylor Teplitzky; Erin M Wynings; Yann-Fuu Kou; Stephen R Chorney
Journal:  Laryngoscope Investig Otolaryngol       Date:  2022-08-20

3.  Association Between Race and Ethnicity with Intraoperative Analgesic Administration and Initial Recovery Room Pain Scores in Pediatric Patients: a Single-Center Study of 21,229 Surgeries.

Authors:  Christine G Jette; Julia M Rosenbloom; Ellen Wang; Elizabeth De Souza; T Anthony Anderson
Journal:  J Racial Ethn Health Disparities       Date:  2020-07-03
  3 in total

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