Evidence map›Paper›PMID 35410802›Full record

ArticleJournal of pediatric urology2022

Predicting postoperative complications in pediatric surgery: A novel pediatric comorbidity index.

Rohit Tejwani, Hui-Jie Lee, Taylor L Hughes, Kevin T Hobbs, Leonid I Aksenov, Charles D Scales, Jonathan C Routh

Abstract read
In one paragraph

Article in Journal of pediatric urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

7 authors.

Rohit TejwaniDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA.
Hui-Jie LeeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Taylor L HughesDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA.
Kevin T HobbsDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA.
Leonid I AksenovDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA. Electronic address: leonid.aksenov@duke.edu.
Charles D ScalesDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA.
Jonathan C RouthDivision of Urologic Surgery, Duke University Medical Center, Durham, NC, USA.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

INTRODUCTION/

backgroundComorbidity-driven surgical risk assessment is essential for informed patient counseling, risk-stratification, and outcomes-based health-services research. Existing mortality-focused comorbidity indices have had mixed success at risk-adjustment in children.

objectiveTo develop a new comorbidity-driven multispecialty surgical risk index predicting 30-day postoperative complications in children. STUDY

designThis retrospective cohort study investigated children undergoing surgical procedures across seven specialties in 2014-2015 using the MarketScan® Research databases. The risk index was derived separately for ambulatory and inpatient surgery patients using logistic regression with backward selection. The performance of the novel index in discriminating postoperative complications vis-à-vis three existing comorbidity indices was compared using bootstrapping and area under the receiver operating characteristics curves (AUC).

resultsWe identified 190,629 ambulatory and 22,633 inpatient patients. The novel index had the best performance for discriminating postoperative complications for inpatients (AUC 0.76, 95% confidence interval [CI] 0.75-0.77) relative to the Charlson Comorbidity Index (CCI, 0.56, 95% CI 0.56-0.57), Van Walraven Index (VWI, 0.60, 95% CI 0.60-0.61), and Rhee Score (RS, 0.69, 95% CI 0.68-0.70). In the ambulatory cohort, the novel index outperformed all three existing indices, though none demonstrated excellent discriminatory ability for complications (novel score 0.68, 95% CI 0.67-0.68; CCI 0.53, 95% CI 0.52-0.53; VWI 0.53, 95% CI 0.52-0.53; RS 0.50, 95% CI 0.49-0.50). DISCUSSION: In both inpatient and ambulatory pediatric settings, our novel comorbidity index demonstrated better performance at predicting postoperative complications than three widely used alternatives. This index will be useful for research and may be adaptable to clinical settings to identify high-risk patients and facilitate perioperative planning.

conclusionWe developed a novel pediatric comorbidity index with better performance at predicting postoperative complications than three widely used alternatives.

Indexed as

Postoperative ComplicationsChildComorbidityHumansRetrospective StudiesRisk AssessmentROC CurveComorbidityOperativePediatricsPost-operative complicationsRetrospective studiesRisk assessmentSeverity of illness indexSurgical procedures

Identifiers

PMID35410802
PMCPMC9233007

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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.