Validity of the Postoperative Morbidity Survey after abdominal aortic aneurysm repair—a prospective observational study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Ben A. Goodman, Alan M. Batterham, Elke Kothmann, Louise Cawthorn, David Yates, Helen Melsom, Karen Kerr, Gerard R. Danjoux

ABSTRACT

BACKGROUND: Currently, there is no standardised tool used to capture morbidity following abdominal aortic aneurysm (AAA) repair. The aim of this prospective observational study was to validate the Postoperative Morbidity Survey (POMS) according to its two guiding principles: to only capture morbidity substantial enough to delay discharge from hospital and to be a rapid, simple screening tool. METHODS: A total of 64 adult patients undergoing elective infrarenal AAA repair participated in the study. Following surgery, the POMS was recorded daily, by trained research staff with the clinical teams blinded, until hospital discharge or death. We modelled the data using Cox regression, accounting for the competing risk of death, with POMS as a binary time-dependent (repeated measures) internal covariate. For each day for each patient, 'discharged' (yes/no) was the event, with the elapsed number of days post-surgery as the time variable. We derived the hazard ratio for any POMS morbidity (score 1-9) vs. no morbidity (zero), adjusted for type of repair (endovascular versus open), age and aneurysm size. RESULTS: The hazard ratio for alive discharge with any POMS-recorded morbidity versus no morbidity was 0.130 (95 % confidence interval 0.070 to 0.243). The median time-to-discharge was 13 days after recording any POMS morbidity vs. 2 days after scoring zero for POMS morbidity. Compliance with POMS completion was 99.5 %. CONCLUSIONS: The POMS is a valid tool for capturing short-term postoperative morbidity following elective infrarenal AAA repair that is substantial enough to delay discharge from hospital. Daily POMS measurement is recommended to fully capture morbidity and allow robust analysis. The survey could be a valuable outcome measure for use in quality improvement programmes and future research. More... »

PAGES

10

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13741-015-0020-1

DOI

http://dx.doi.org/10.1186/s13741-015-0020-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034872311

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26464796


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13741-015-0020-1'

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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13741-015-0020-1'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13741-015-0020-1'


 

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