Evidence map›Paper›PMID 41886242›Full record

ArticleJournal of echocardiography2026

Evaluation of the relationship between disease severity and echocardiographic parameters in Behçet's disease.

Serkan Bulguroğlu, Yunus Çalapkulu, Gökçe Duran, Mehmet Erdoğan, Şükran Öner, Serdal Baştuğ

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Article in Journal of echocardiography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Serkan BulguroğluDepartment of Cardiology, Hatay Dörtyol State HospitalNumune Evler Neighborhood, İstasyon St, 31600, Hatay, Dörtyol, Türkiye. bulguroglu.serkan@gmail.com.ORCID http://orcid.org/0000-0001-5949-9940
Yunus ÇalapkuluDepartment of Cardiology, Ankara Mamak State Hospital, Ankara, Türkiye.
Gökçe DuranDepartment of Cardiology, Ankara City Hospital, Ankara, Türkiye.
Mehmet ErdoğanDepartment of Cardiology, Ankara City Hospital, Ankara, Türkiye.
Şükran ÖnerDepartment of Cardiology, Ankara City Hospital, Ankara, Türkiye.
Serdal BaştuğDepartment of Cardiology, Ankara City Hospital, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBehçet’s disease is a multisystemic inflammatory disorder that may affect the cardiovascular system through mechanisms such as vasculitis, endothelial dysfunction, and microvascular ischemia. Although cardiac involvement is often subclinical, early detection is important for prognosis. Global longitudinal strain (GLS) has emerged as a sensitive tool for identifying subtle myocardial dysfunction. This study aimed to compare conventional and strain-based echocardiographic parameters between patients with Behçet’s disease and healthy controls, and to investigate the relationship between disease activity and myocardial strain.

methodsA total of 59 patients with Behçet’s disease and 58 age- and sex-matched healthy volunteers were included. Clinical activity was assessed using the Behçet’s Disease Current Activity Form (BDCAF). All participants underwent comprehensive transthoracic echocardiography, including tissue Doppler imaging and two-dimensional speckle-tracking analysis. Left ventricular (LV) and right ventricular (RV) GLS, MAPSE, TAPSE, MPI, diastolic parameters, and conventional chamber measurements were recorded. Correlation and multivariable linear regression analyses were performed to determine predictors of LV GLS.

resultsPatients with Behçet’s disease had significantly lower LV and RV GLS values compared with controls (LV GLS: −21.6 [IQR 18.4–24.5] vs. −21.7 [18.0–24.5], p = 0.001; RV GLS: −22.1 [19.0–27.2] vs. −22.8 [22.1–27.2], p = 0.001). MAPSE (1.7 [1.3–2.4] vs. 1.87 [1.2–3.0], p = 0.001), TAPSE (2.0 [1.3–2.9] vs. 2.16 [1.6–2.9], p = 0.001), and MPI (0.6 [0.3–1.0] vs. 0.7 [0.4–1.1], p = 0.049) were also significantly reduced in the Behçet group. Diastolic function parameters were impaired in the Behçet group, including a lower E/A ratio (1.0 [0.5–2.1] vs. 1.2 [0.7–1.8], p = 0.001) and prolonged isovolumic relaxation time (147.3 [74–289] ms vs. 117.2 [88–197] ms, p = 0.001). BDCAF scores showed a strong negative correlation with both LV GLS (r = − 0.56, p < 0.001) and RV GLS (r = − 0.64, p < 0.001). In multivariable linear regression analysis, the presence of Behçet’s disease (β = 0.618, p < 0.001), diabetes mellitus (β = −0.192, p = 0.009), and age (β = −0.228, p = 0.001) emerged as independent predictors of impaired LV GLS.

conclusionBehçet’s disease is associated with subclinical impairment of both LV and RV function despite preserved ejection fraction. GLS strongly correlates with disease activity, suggesting that inflammatory burden contributes to early myocardial dysfunction. Incorporating strain analysis into routine cardiac evaluation may improve early detection and risk stratification in Behçet’s disease.

Indexed as

Behçet’s diseaseBehçet’s Disease Current Activity FormCardiac involvementSubclinical myocardial dysfunctionVentricular dysfunction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.