Non-Alcoholic Fatty Pancreas Disease is Associated with SYNTAX Score in Acute Coronary Syndrome.

Acute coronary syndrome Atherosclerosis Ectopic adipose tissue Non-alcoholic fatty pancreas disease SYNTAX score

Journal

Acta Cardiologica Sinica
ISSN: 1011-6842
Titre abrégé: Acta Cardiol Sin
Pays: China (Republic : 1949- )
ID NLM: 101687085

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 08 01 2022
accepted: 24 04 2022
entrez: 28 11 2022
pubmed: 29 11 2022
medline: 29 11 2022
Statut: ppublish

Résumé

Evidence that individuals with excess fat in the pancreas have an increased risk of cardiovascular disease has been growing recently. Risk evaluation in acute coronary syndrome (ACS) patients plays a crucial role for both prognosis prediction and decision-making. The main aim of this study was to investigate the relationship between non-alcoholic fatty pancreas disease (NAFPD) and the complexity and severity of coronary artery disease as assessed using the SYNTAX score (SXscore) in ACS patients. A total of 99 consecutive patients with a first-time diagnosis of ACS were recruited. NAFPD was evaluated using transabdominal ultrasonography (TUS). SXscore was calculated using the SXscore algorithm. The patients with NAFPD had a significantly higher SXscore than those without NAFPD (12.3 ± 6.4 and 8.2 ± 4.3, p < 0.001). Univariable analysis showed that hypertension (p = 0.033) and presence of NAFPD (p = 0.001) were associated with increased SXscore. Moreover, multivariable analysis showed that the presence of NAFPD (p = 0.002) was associated with increased SXscore. NAFPD is easily detected by TUS. The presence of NAFPD in ACS patients may be a warning signal of complexity and severity of coronary artery disease.

Sections du résumé

Background UNASSIGNED
Evidence that individuals with excess fat in the pancreas have an increased risk of cardiovascular disease has been growing recently. Risk evaluation in acute coronary syndrome (ACS) patients plays a crucial role for both prognosis prediction and decision-making.
Aim UNASSIGNED
The main aim of this study was to investigate the relationship between non-alcoholic fatty pancreas disease (NAFPD) and the complexity and severity of coronary artery disease as assessed using the SYNTAX score (SXscore) in ACS patients.
Methods UNASSIGNED
A total of 99 consecutive patients with a first-time diagnosis of ACS were recruited. NAFPD was evaluated using transabdominal ultrasonography (TUS). SXscore was calculated using the SXscore algorithm.
Results UNASSIGNED
The patients with NAFPD had a significantly higher SXscore than those without NAFPD (12.3 ± 6.4 and 8.2 ± 4.3, p < 0.001). Univariable analysis showed that hypertension (p = 0.033) and presence of NAFPD (p = 0.001) were associated with increased SXscore. Moreover, multivariable analysis showed that the presence of NAFPD (p = 0.002) was associated with increased SXscore.
Conclusions UNASSIGNED
NAFPD is easily detected by TUS. The presence of NAFPD in ACS patients may be a warning signal of complexity and severity of coronary artery disease.

Identifiants

pubmed: 36440242
doi: 10.6515/ACS.202211_38(6).20220424A
pmc: PMC9692214
doi:

Types de publication

Journal Article

Langues

eng

Pagination

683-690

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Auteurs

Sinan Sahin (S)

Department of Cardiology.

M Gokhan Yerlikaya (MG)

Department of Cardiology.

Ahmet Ozderya (A)

Department of Cardiology.

I Gokhan Cavusoglu (IG)

Department of Radiology, Saglik Bilimleri Universitesi (University of Health Sciences), Trabzon Ahi Evren Cardiovascular and Thoracic Surgery Research and Application Center, Trabzon 61040, Turkey.

Aysegul Karadeniz (A)

Department of Radiology, Saglik Bilimleri Universitesi (University of Health Sciences), Trabzon Ahi Evren Cardiovascular and Thoracic Surgery Research and Application Center, Trabzon 61040, Turkey.

Turhan Turan (T)

Department of Cardiology.

Omer Faruk Cirakoglu (OF)

Department of Cardiology.

Huseyin Karal (H)

Department of Cardiology.

Ali Riza Akyuz (AR)

Department of Cardiology.

Selim Kul (S)

Department of Cardiology.

M Rasit Sayin (MR)

Department of Cardiology.

Classifications MeSH