Trigliseritler, Total Kolesterol ve Vücut Ağırlığı İndeksi’nin Metabolik Sendrom için Yüksek Tanısal Performans Göstermesi: Yerleşik Kardiyometabolik ve İnflamatuar İndekslerle Karşılaştırmalı Bir Çalışma

Abstract

Amaç: Bu çalışma, metabolik sendrom (MetS) hastalarında kompozit inflamatuvar ve kardiyometabolik indekslerin tanısal performansını, özellikle trigliserid, total kolesterol ve vücut ağırlığı indeksine (TCBI) odaklanarak değerlendirmeyi amaçlamıştır. Yöntemler: Bu retrospektif, tek merkezli çalışmaya, Ocak 2023 ile Ocak 2026 tarihleri arasında iç hastalıkları kliniğine başvuran 18–65 yaş arası bireyler dahil edilmiştir. MetS tanısı NCEP ATP III kriterlerine göre konulmuştur. Demografik, antropometrik ve laboratuvar verileri elektronik tıbbi kayıtlardan elde edilmiştir. Rutin biyokimyasal ve hematolojik parametrelere ek olarak TCBI, TyG, CMI, CRP/HDL, NHR, UHR, NLAR, PIV, HALP, NLR, SIRI ve SII gibi kompozit indeksler standart formüller kullanılarak hesaplanmıştır. Gruplar arası karşılaştırmalar uygun istatistiksel testlerle yapılmıştır. İndekslerin tanısal performansını değerlendirmek amacıyla alıcı işletim karakteristiği (ROC) eğrisi analizi uygulanmıştır. Bulgular: Çeşitli antropometrik ve metabolik parametreler açısından gruplar arasında anlamlı farklılıklar saptanmıştır (p < 0.05). Değerlendirilen indeksler arasında TCBI, CMI, TyG, CRP/HDL, NHR ve UHR düzeyleri MetS hastalarında anlamlı olarak yüksek bulunurken (p < 0.0001), NLAR, PIV, HALP, NLR, SIRI ve SII açısından anlamlı fark gözlenmemiştir (p > 0.05). ROC analizi, en yüksek tanısal performansın TCBI’ye ait olduğunu göstermiştir (AUC: 0.9622, %95 GA: 0.9378–0.9865, p < 0.0001); bunu CMI (AUC: 0.9600) ve TyG (AUC: 0.9463) izlemiştir. CRP/HDL, NHR ve UHR orta düzeyde ayırt edici performans sergilemiştir. Sonuç: TCBI, bu kohortta güçlü tanısal performans gösterdi ve değerlendirilen indekslerle karşılaştırıldığında daha yüksek genel ayırt edici kapasite sergiledi. Bu bulgular, TCBI’nin MetS değerlendirmesinde basit ve kolay erişilebilir bir belirteç olabileceğini düşündürmektedir. Ancak, klinik kullanım potansiyelinin doğrulanabilmesi için ileri çalışmalara ihtiyaç vardır.

Keywords

• Metabolik sendrom
• Trigliseritler, total kolesterol ve vücut kitle indeksi
• Kompozit biyobelirteçler
• Kardiyometabolik indeks
• Sistemik inflamasyon

Supporting Institution

Yazarlar, bu çalışma için finansal destek almadığını beyan etmiştir.

Ethical Statement

Çalışmanın etik onayı Malatya Turgut Özal Üniversitesi Sağlık Bilimleri Bilimsel Araştırmalar Etik Kurulu'ndan alınmıştır (Tarih: 02/04/2026, Sayı: 2026/139).

Triglycerides, Total Cholesterol, and Body Weight Index Demonstrates High Discriminative Performance for Metabolic Syndrome: A Comparative Study with Established Cardiometabolic and Inflammatory Indices

Abstract

Objective: This research sought to assess the effectiveness of combined inflammatory and cardiometabolic markers, with a particular focus on the triglycerides, total cholesterol, and body weight index (TCBI), in individuals diagnosed with metabolic syndrome (MetS). Methods: This retrospective, single-center study included individuals aged 18-65 years who were admitted to the internal medicine clinic between January 2023 and January 2026. MetS was defined according to NCEP ATP III criteria. Demographic, anthropometric, and laboratory data were obtained from electronic medical records. In addition to routine biochemical and hematological parameters, composite indices including TCBI, TyG, CMI, CRP/HDL, NHR, UHR, NLAR, PIV, HALP, NLR, SIRI, and SII were calculated using standard formulas. Appropriate statistical tests were utilized to compare groups. To evaluate the diagnostic effectiveness of the indices, a ROC curve analysis was performed. Results: Several anthropometric and metabolic parameters differed significantly between groups (p < 0.05). Among the evaluated indices, TCBI, CMI, TyG, CRP/HDL, NHR, and UHR levels were significantly elevated in MetS patients (p < 0.0001), whereas NLAR, PIV, HALP, NLR, SIRI, and SII showed no significant differences (p > 0.05). ROC analysis demonstrated that TCBI had the highest diagnostic performance (AUC: 0.9622, 95% CI: 0.9378 - 0.9865, p < 0.0001), followed by CMI (AUC: 0.9600) and TyG (AUC: 0.9463). CRP/HDL, NHR, and UHR exhibited moderate discriminative ability. Conclusion: TCBI showed strong diagnostic performance in this cohort and demonstrated higher overall discriminative ability compared with the evaluated indices. These findings suggest that TCBI may represent a simple and accessible marker for MetS assessment. However, further studies are required to validate its clinical utility.

Keywords

• Metabolic syndrome
• Triglycerides, total cholesterol, and body weight index
• Composite biomarkers
• Cardiometabolic index
• Systemic inflammation

Supporting Institution

The authors declared that this study has received no financial support.

Ethical Statement

Ethical approval of the study was received from the Malatya Turgut Özal University Health Sciences Scientific Research Ethics Committee (Date: 02/04/2026, Number: 2026/139).

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