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Journals / Medical Records / 2026 / Cilt: 7 Sayı: 1

The Role of Prognostic Nutritional Index in Vascular Behçet’s Syndrome

Bahar Özdemir Ulusoy(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA GAZİLER FİZİK TEDAVİ VE REHABİLİTASYON SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ)0000-0003-4711-4921
Esra Kayacan Erdoğan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0002-3570-875X
Berkan Armağan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0003-4409-059X
Yüksel Maraş(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0001-9319-0955
İsmail Doğan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0002-7603-9484
Kevser Orhan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0001-8639-751X
Serdar Can Güven(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0003-1965-9756
Ebru Atalar(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0003-2708-0373
Hatice Ecem Konak(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0002-9218-8965
Orhan Küçükşahin(YILDIRIM BEYAZIT ÜNİVERSİTESİ, TIP FAKÜLTESİ)0000-0003-4530-2304
Şükran Erten(YILDIRIM BEYAZIT ÜNİVERSİTESİ, TIP FAKÜLTESİ)0000-0003-0717-8365
Ahmet Omma(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0003-2582-7445
Hakan Babaoglu(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ)0000-0002-3728-0259
Pages
167–172
Publication Date
2025-01-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Further multicenter, prospective studies are warranted to validate these findings.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: This study aimed to evaluate the levels of the Prognostic Nutritional Index (PNI) in vascular and non-vascular subtypes of Behçet’s Syndrome (BS) and its potential utility in distinguishing vascular involvement.
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Key Findings & Data:Material and Method: This retrospective cohort study included 386 patients diagnosed with BS based on ISG criteria.
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Conclusion & Impact:Further multicenter, prospective studies are warranted to validate these findings.
🔬Design:Klinik Araştırma
📍Scope:Comprehensive Sample
⚙️Variables:Behçet’s syndrome · vascular involvement · prognostic nutritional index

Abstract

Aim: This study aimed to evaluate the levels of the Prognostic Nutritional Index (PNI) in vascular and non-vascular subtypes of Behçet’s Syndrome (BS) and its potential utility in distinguishing vascular involvement. Material and Method: This retrospective cohort study included 386 patients diagnosed with BS based on ISG criteria. Patients were categorized into vascular (n=100) and non-vascular (n=286) involvement groups. Subgroup analyses assessed organ-specific patterns of involvement. PNI values were calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/mm3). Statistical analyses were performed to compare PNI levels between subgroups. Additionally, ROC curve analysis was conducted to evaluate the discriminatory ability of PNI for detecting vascular involvement. Results: Patients with vascular involvement exhibited significantly lower mean PNI values (51.7±6.6) compared to the non-vascular group (56.9±4.4, p<0.001). Neuro-Behçet’s disease was significantly more frequent in the vascular group (19.0%) than in the non-vascular group (2.4%, p<0.001). However, among patients with Neuro-Behçet’s disease without vascular disease, PNI values were found to be similar to the rest of the cohort. ROC analysis demonstrated that PNI effectively differentiated vascular involvement, with an AUC of 0.76, sensitivity of 72.7%, and specificity of 71%. The optimal cutoff value for PNI was determined to be 55. Conclusion: PNI is a potential marker for identifying vascular involvement in BS. The significantly lower PNI values observed in patients with vascular involvement, coupled with its moderate discriminatory ability, suggest that PNI could serve as a valuable tool in clinical practice. Low PNI values are associated with impaired nutritional and immunological status, which may contribute to or result from the systemic inflammatory burden seen in vascular disease. Further multicenter, prospective studies are warranted to validate these findings.

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Cite This Article

Ulusoy, B. Ö., Erdoğan, E. K., Armağan, B., Maraş, Y., Doğan, İ., Orhan, K., Güven, S. C., Atalar, E., Konak, H. E., Küçükşahin, O., Erten, Ş., Omma, A., Babaoglu, H. (2025). The Role of Prognostic Nutritional Index in Vascular Behçet’s Syndrome. Medical Records, Cilt: 7 Sayı: 1, 167–172. https://doi.org/10.37990/medr.1593728

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