Association between self-reported functional capacity measures and postoperative myocardial injury in patients undergoing noncardiac surgeries.


Journal

Kardiologia polska
ISSN: 1897-4279
Titre abrégé: Kardiol Pol
Pays: Poland
ID NLM: 0376352

Informations de publication

Date de publication:
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

Pagination

716-726

Auteurs

Kamil Polok (K)

Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland.

Giovanna Lurati Buse (GL)

Department of Anesthesiology, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.

Eckhard Mauermann (E)

Departement of Anesthesiology, Zurich City Hospital, Zurich, Switzerland.

Daniela Ionescu (D)

Department of Anesthesia and Intensive Care I, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Outcome Research Consortium, Cleveland, Ohio, United States.

Jakub Fronczek (J)

Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland.

Stefan De Hert (S)

Department of Anesthesiology and Perioperative Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium.

Miodrag Filipovic (M)

Division of Anesthesiology, Intensive Care, Rescue and Pain Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland.

Beatrice Beck Schimmer (B)

Institute of Anesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Judith van Waes (J)

Department of Anesthesiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Hans-Jörg Gillmann (HJ)

Department of Anesthesiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany.

Cornelia Schultze (C)

Department of Anesthesiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany.

Katarzyna Kotfis (K)

Department of Anesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University, Szczecin, Poland.

Simon J Howell (SJ)

Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom.

Dorota Studzińska (D)

Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland.

Florian Espeter (F)

Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.

Mona Jung-König (M)

Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.

Jan Larmann (J)

Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.

Wojciech Szczeklik (W)

Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland. wojciech.szczeklik@uj.edu.pl.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH