Cardiovascular risk factors and development of nomograms in an Italian cohort of patients with suspected coronary artery disease undergoing SPECT or PET stress myocardial perfusion imaging.

PET SPECT cardiovascular risk factors coronary artery disease myocardial perfusion imaging nomogram pretest receiver operating characteristic

Journal

Frontiers in nuclear medicine (Lausanne, Switzerland)
ISSN: 2673-8880
Titre abrégé: Front Nucl Med
Pays: Switzerland
ID NLM: 9918470388806676

Informations de publication

Date de publication:
2024
Historique:
received: 31 05 2023
accepted: 29 01 2024
medline: 2 10 2024
pubmed: 2 10 2024
entrez: 2 10 2024
Statut: epublish

Résumé

Single-photon emission computed tomography (SPECT) and positron emission tomography (PET) are non-invasive nuclear medicine techniques that can identify areas of abnormal myocardial perfusion. We assessed the prevalence of cardiovascular risk factors in patients with suspected coronary artery disease (CAD) undergoing SPECT or PET stress myocardial perfusion imaging (MPI). Based on significant risk factors associated with an abnormal MPI, we developed a nomogram for each cohort as a pretest that would be helpful in decision-making for clinicians. A total of 6,854 patients with suspected CAD who underwent stress myocardial perfusion imaging by SPECT or PET/CT was studied. As part of the baseline examination, clinical teams collected information on traditional cardiovascular risk factors: age, gender, body mass index, angina, dyspnea, diabetes, hypertension, hyperlipidemia, family history of CAD, and smoking. The prevalence of cardiovascular risk factors was different in the two cohorts of patients undergoing SPECT ( Patients with suspected CAD belonging to two different cohorts undergoing SPECT or PET stress myocardial perfusion imaging can have different cardiovascular risk factors associated with a higher risk of an abnormal MPI study. As crude variables, age, gender, and diabetes were significant for both cohorts. Net of the effect of other covariates, age and gender were the only risk factors in common between the two cohorts. Furthermore, smoking and type of stress test were significant for the SPECT cohort, where as diabetes and hypertension were significant for the PET cohort. Nomograms obtained by significant risk factors for the two cohorts can be used by clinicians to evaluate the risk of an abnormal study.

Identifiants

pubmed: 39355219
doi: 10.3389/fnume.2024.1232135
pmc: PMC11440955
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1232135

Informations de copyright

© 2024 Megna, Petretta, Nappi, Assante, Zampella, Gaudieri, Mannarino, D’Antonio, Green, Cantoni, Panico, Acampa and Cuocolo.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Rosario Megna (R)

Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.

Mario Petretta (M)

IRCCS Synlab SDN, Naples, Italy.

Carmela Nappi (C)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Roberta Assante (R)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Emilia Zampella (E)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Valeria Gaudieri (V)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Teresa Mannarino (T)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Adriana D'Antonio (A)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Roberta Green (R)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Valeria Cantoni (V)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Mariarosaria Panico (M)

Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.

Wanda Acampa (W)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Alberto Cuocolo (A)

Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Classifications MeSH