Association between self-reported functional capacity measures and postoperative myocardial injury in patients undergoing noncardiac surgeries.
cardiovascular complications
functional capacity
myocardial injury
perioperative medicine
risk assessment
Journal
Kardiologia polska
ISSN: 1897-4279
Titre abrégé: Kardiol Pol
Pays: Poland
ID NLM: 0376352
Informations de publication
Date de publication:
2024
2024
Historique:
received:
06
05
2024
accepted:
06
05
2024
pubmed:
20
5
2024
medline:
20
5
2024
entrez:
20
5
2024
Statut:
ppublish
Résumé
Self-reported functional capacity measures have an uncertain role in the pre-operative cardiovascular risk stratification. This substudy aimed to evaluate whether self-reported metabolic equivalent (MET) could improve the prediction of postoperative myocardial injury (MI) over other well-established cardiovascular risk factors. This is a post hoc analysis of an international multicenter prospective cohort study. We recruited patients ≥45 years old who had elective elevated-risk noncardiac surgery in 45 centers across 17 countries between June 2017 and April 2020. The primary outcome was MI defined according to the Fourth Universal Definition of Myocardial Infarction. We measured the proportion of new prognostic information added by self-reported MET using multivariable logistic regression. In total, 860 (41.3%) patients suffered MI. In patients without systematic troponin surveillance, the odds ratio for MI with each 1-point increment in MET equaled 1.03 (95% confidence interval [CI], 0.99-1.07). The new prognostic information, according to the likelihood ratio adequacy index, accounted for 1.5%. Sensitivity analysis, including centers with >90% of patients with routine high-sensitivity troponin T monitoring, showed that MET added 21.8% of new information to the baseline model, and each additional point was associated with a lower risk of MI (odds ratio, 0.86; 95% CI, 0.81-0.91). In elevated-risk noncardiac surgery, self-reported functional capacity measures do not significantly improve the prediction of MI; however, they add new prognostic information in centers with routine perioperative troponin monitoring.
Sections du résumé
BACKGROUND
BACKGROUND
Self-reported functional capacity measures have an uncertain role in the pre-operative cardiovascular risk stratification.
AIM
OBJECTIVE
This substudy aimed to evaluate whether self-reported metabolic equivalent (MET) could improve the prediction of postoperative myocardial injury (MI) over other well-established cardiovascular risk factors.
METHODS
METHODS
This is a post hoc analysis of an international multicenter prospective cohort study. We recruited patients ≥45 years old who had elective elevated-risk noncardiac surgery in 45 centers across 17 countries between June 2017 and April 2020. The primary outcome was MI defined according to the Fourth Universal Definition of Myocardial Infarction. We measured the proportion of new prognostic information added by self-reported MET using multivariable logistic regression.
RESULTS
RESULTS
In total, 860 (41.3%) patients suffered MI. In patients without systematic troponin surveillance, the odds ratio for MI with each 1-point increment in MET equaled 1.03 (95% confidence interval [CI], 0.99-1.07). The new prognostic information, according to the likelihood ratio adequacy index, accounted for 1.5%. Sensitivity analysis, including centers with >90% of patients with routine high-sensitivity troponin T monitoring, showed that MET added 21.8% of new information to the baseline model, and each additional point was associated with a lower risk of MI (odds ratio, 0.86; 95% CI, 0.81-0.91).
CONCLUSIONS
CONCLUSIONS
In elevated-risk noncardiac surgery, self-reported functional capacity measures do not significantly improve the prediction of MI; however, they add new prognostic information in centers with routine perioperative troponin monitoring.
Identifiants
pubmed: 38767162
pii: VM/OJS/J/100567
doi: 10.33963/v.phj.100567
doi:
Substances chimiques
Troponin T
0
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM