Preoperative risk assessment tools for morbidity after cardiac surgery: a systematic review.


Journal

European journal of cardiovascular nursing
ISSN: 1873-1953
Titre abrégé: Eur J Cardiovasc Nurs
Pays: England
ID NLM: 101128793

Informations de publication

Date de publication:
14 10 2022
Historique:
received: 01 09 2021
revised: 20 12 2021
accepted: 11 01 2022
pubmed: 17 2 2022
medline: 19 10 2022
entrez: 16 2 2022
Statut: ppublish

Résumé

Postoperative morbidity places considerable burden on health and resources. Thus, strategies to identify, predict, and reduce postoperative morbidity are needed. To identify and explore existing preoperative risk assessment tools for morbidity after cardiac surgery. Electronic databases (including MEDLINE, CINAHL, and Embase) were searched to December 2020 for preoperative risk assessment models for morbidity after adult cardiac surgery. Models exploring one isolated postoperative morbidity and those in patients having heart transplantation or congenital surgery were excluded. Data extraction and quality assessments were undertaken by two authors. From 2251 identified papers, 22 models were found. The majority (54.5%) were developed in the USA or Canada, defined morbidity outcome within the in-hospital period (90.9%), and focused on major morbidity. Considerable variation in morbidity definition was identified, with morbidity incidence between 4.3% and 52%. The majority (45.5%) defined morbidity and mortality separately but combined them to develop one model, while seven studies (33.3%) constructed a morbidity-specific model. Models contained between 5 and 50 variables. Commonly included variables were age, emergency surgery, left ventricular dysfunction, and reoperation/previous cardiac surgery, although definition differences across studies were observed. All models demonstrated at least reasonable discriminatory power [area under the receiver operating curve (0.61-0.82)]. Despite the methodological heterogeneity across models, all demonstrated at least reasonable discriminatory power and could be implemented depending on local preferences. Future strategies to identify, predict, and reduce morbidity after cardiac surgery should consider the ageing population and those with minor and/or multiple complex morbidities.

Sections du résumé

BACKGROUND
Postoperative morbidity places considerable burden on health and resources. Thus, strategies to identify, predict, and reduce postoperative morbidity are needed.
AIMS
To identify and explore existing preoperative risk assessment tools for morbidity after cardiac surgery.
METHODS
Electronic databases (including MEDLINE, CINAHL, and Embase) were searched to December 2020 for preoperative risk assessment models for morbidity after adult cardiac surgery. Models exploring one isolated postoperative morbidity and those in patients having heart transplantation or congenital surgery were excluded. Data extraction and quality assessments were undertaken by two authors.
RESULTS
From 2251 identified papers, 22 models were found. The majority (54.5%) were developed in the USA or Canada, defined morbidity outcome within the in-hospital period (90.9%), and focused on major morbidity. Considerable variation in morbidity definition was identified, with morbidity incidence between 4.3% and 52%. The majority (45.5%) defined morbidity and mortality separately but combined them to develop one model, while seven studies (33.3%) constructed a morbidity-specific model. Models contained between 5 and 50 variables. Commonly included variables were age, emergency surgery, left ventricular dysfunction, and reoperation/previous cardiac surgery, although definition differences across studies were observed. All models demonstrated at least reasonable discriminatory power [area under the receiver operating curve (0.61-0.82)].
CONCLUSION
Despite the methodological heterogeneity across models, all demonstrated at least reasonable discriminatory power and could be implemented depending on local preferences. Future strategies to identify, predict, and reduce morbidity after cardiac surgery should consider the ageing population and those with minor and/or multiple complex morbidities.

Identifiants

pubmed: 35171231
pii: 6529442
doi: 10.1093/eurjcn/zvac003
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

655-664

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.

Déclaration de conflit d'intérêts

Conflict of interest: The author(s) declare there are no conflict of interest.

Auteurs

Julie Sanders (J)

St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7DN, UK.
William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK.

Nicole Makariou (N)

Barts and the London Medical School, Queen Mary University of London, Charterhouse Square, London, UK.

Adam Tocock (A)

Knowledge and Library Services, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.

Rosalie Magboo (R)

William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK.
Critical Care, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.

Ashley Thomas (A)

William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK.
Critical Care, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.

Leanne M Aitken (LM)

School of Health Sciences, City, University of London, Northampton Square, London, UK.

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