Atherogenic Plasma Index as a Cardiovascular Risk Predictor in Psychiatric Inpatients

Year 2026, Volume: 18 Issue: 1 , 1 - 8 , 28.04.2026

Sare Aydın , Burcu Eser , İlker Güneysu

https://izlik.org/JA86TD83CD

Abstract

Objective: Psychiatric disorders are known to be independent risk factors for cardiovascular diseases (CVD), and a bidirectional relationship exists between these two conditions. The Atherogenic Plasma Index (API), calculated as the logarithm of the triglyceride/HDL cholesterol ratio, is considered an important biomarker for assessing CVD risk. This study aimed to examine the API levels of inpatients in a psychiatric clinic and compare them based on psychiatric diagnosis, age, gender, and length of hospitalization.
Method: This retrospective study included patients who were hospitalized in the psychiatric clinic of a university hospital between 01.01.2023 and 01.01.2025. Data on patients' age, gender, psychiatric diagnoses according to DSM-5, length of hospitalization, and lipid profiles were obtained from medical records. Patients were divided into two groups: psychotic disorders (schizophrenia, schizoaffective disorder, psychotic bipolar disorder) and neurotic disorders (major depressive disorder, anxiety disorders, obsessive-compulsive disorder, trauma-related disorders). API values were compared using an independent samples t-test.
Results: There was no significant difference in API levels between patients with psychotic and neurotic disorders (p > 0.05). API levels were also similar across age groups (18-40 and 41+ years) and hospitalization durations (≤30 days, ≥31 days) (p > 0.05). However, API levels were significantly higher in males compared to females (p < 0.05).
Conclusion: Our study found that API levels did not differ between psychotic and neurotic disorders in psychiatric patients but were higher in males. These findings highlight the need for further research to better understand the relationship between psychiatric disorders and CVD risk profiles. Evaluating API as a potential biomarker for CVD risk assessment in psychiatric patients is crucial.

Keywords

atherogenic plasma index , psychiatry , psychotic disorder , neurotic disorder

Psikiyatri Servisinde Yatan Hastalarda Kardiyovasküler Risk Belirleyici Olarak Aterojenik Plazma İndeksi

https://izlik.org/JA86TD83CD

Abstract

Amaç: Psikiyatrik hastalıkların kardiyovasküler hastalıklar (KVH) için bağımsız bir risk faktörü olduğu ve bu iki durum arasında çift yönlü bir ilişki bulunduğu bilinmektedir. Trigliserit/HDL kolesterol oranının logaritması alınarak hesaplanan Aterojenik Plazma İndeksi (API), KVH riskini belirlemede önemli bir biyobelirteç olarak kabul edilmektedir. Bu çalışmanın amacı, psikiyatri kliniğinde yatan hastaların API seviyelerini incelemek ve psikiyatrik tanı, yaş, cinsiyet ve hastanede yatış süresine göre karşılaştırmaktır.
Yöntem: Bu retrospektif çalışmaya, 01.01.2023 - 01.01.2025 tarihleri arasında bir üniversite hastanesinin psikiyatri kliniğinde yatarak tedavi gören hastalar dahil edilmiştir. Hastaların yaş, cinsiyet, DSM-5'e göre psikiyatrik tanıları, yatış süreleri ve lipid profillerine ilişkin veriler tıbbi kayıtlarından elde edilmiştir. Hastalar iki gruba ayrılmıştır: psikotik bozukluklar (şizofreni, şizoaffektif bozukluk, psikotik bipolar bozukluk) ve nevrotik bozukluklar (majör depresif bozukluk, anksiyete bozuklukları, obsesif-kompulsif bozukluk, travma ilişkili bozukluklar). API değerleri, bağımsız örneklem t-testi kullanılarak karşılaştırılmıştır.
Bulgular: Psikotik ve nevrotik bozukluğu olan hastalar arasında API seviyeleri açısından anlamlı bir fark bulunmamıştır (p>0,05). Yaş grupları (18-40 ve 41+ yaş) ve hastanede yatış süresi (≤30 gün, ≥31 gün) açısından da AİP seviyeleri benzer bulunmuştur (p > 0.05). Cinsiyet açısından ise erkeklerde AİP seviyeleri kadınlara göre anlamlı derecede yüksek bulunmuştur (p <0,05).
Sonuç: Çalışmamızda, psikiyatrik hastalıklara sahip bireylerde API seviyelerinin psikotik ve nevrotik bozukluklar arasında farklılık göstermediği, ancak erkeklerde daha yüksek olduğu gözlemlenmiştir. Bu bulgular, psikiyatrik hastalıkların KVH risk profili ile ilişkisini daha iyi anlamak için ileri araştırmalara ihtiyaç olduğunu göstermektedir. API’nin psikiyatrik hastalar arasında KVH riskinin belirlenmesinde potansiyel bir biyobelirteç olarak değerlendirilmesi önemlidir.

Keywords

: Aterojenik plazma indeksi , psikiyatri , pskotik bozukluk , nevrotik bozukluk

References

• Referans 1. De Hert M, Detraux J, Vancampfort D. The intriguing relationship between coronary heart disease and mental disorders. Dialogues Clin Neurosci. 2018;20(1):31-40.
• Referans 2. Whooley MA, Wong JM. Depression and cardiovascular disorders. Annu Rev Clin Psychol. 2013;9(1):327-354.
• Referans 3. Seligman F, Nemeroff CB. The interface of depression and cardiovascular disease: therapeutic implications. Ann N Y Acad Sci. 2015;1345(1):25-35.
• Referans 4. Hayes J, Miles J, Walters K, King M, Osborn D. A systematic review and meta-analysis of premature mortality in bipolar affective disorder. Acta Psychiatr Scand. 2015;131(6):417-425.
• Referans 5. Fan Z, Wu Y, Shen J, Ji T, Zhan R. Schizophrenia and the risk of cardiovascular diseases: a meta-analysis of thirteen cohort studies. J Psychiatr Res. 2013;47(11):1549-1556.
• Referans 6. Celano CM, Millstein RA, Bedoya CA, Healy BC, Roest AM, Huffman JC. Association between anxiety and mortality in patients with coronary artery disease: A meta-analysis. Am Heart J. 2015;170(6):1105-1115. Referans
• Referans 7. Correll CU, Detraux J, De Lepeleire J, De Hert M. Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder. World Psychiatry. 2015;14(2):119-136.
• Referans 8. Meijer A, Conradi H, Bos E, Anselmino M, Carney R, Denollet J, et al. Adjusted prognostic association of depression following myocardial infarction with mortality and cardiovascular events: individual patient data meta-analysis. Br J Psychiatry. 2013;203(2):90-102.
• Referans 9. Zhu L, Lu Z, Zhu L, Ouyang X, Yang Y, He W, et al. Lipoprotein ratios are better than conventional lipid parameters in predicting coronary heart disease in Chinese Han people. Kardiol Pol. 2015;73(10):931-938.
• Referans 10. Dobiasova M, Frohlich J. The new atherogenic plasma index reflects the triglyceride and HDL-cholesterol ratio. Vnitr Lek. 2000;46(3):152-156.
• Referans 11. Zhu XW, Deng FY, Lei SF. Meta-analysis of atherogenic index of plasma. Prim Care Diabetes. 2015;9(1):60-67.
• Referans 12. Onen S, Taymur I. Evidence for the atherogenic index of plasma. J Psychopharmacol. 2021;35(9):1120-1126.
• Referans 13. Tien YT, Wang LJ, Lee Y, Lin PY, Hung CF, Chong MY, et al. Comparative predictive efficacy of atherogenic indices. Schizophr Res. 2023;262:95-101.
• Referans 14. Chen T, Qian Y, Deng X. Relationship between atherosclerotic burden. J Affect Disord. 2024;361:612-619.
• Referans 15. Ergün M, Sağlıyan B, Bayırlı Ö, Kaya S, Aydın M. Cardiovascular risk assessment in psychotic disorders. Eur Psychiatry. 2024;67(S1):287-288.
• Referans 16. Kalelioğlu T, Ünalan P, Kök B, Sözen Ş, Yüksel Ö, Akkuş M, et al. Atherogenic index of plasma. Turk Kardiyol Dern Ars. 2018;46(1).
• Referans 17. Kong D, Zou W. Association between atherogenic index. Eur J Psychotraumatol. 2024;15(1):2429266.
• Referans 18. Lachman ME, Weaver SL. Sociodemographic variations. Psychol Aging. 1998;13(4):553.
• Referans 19. Lachman M, James J. Multiple Paths of Midlife Development. Chicago: University of Chicago Press; 1997.
• Referans 20. Grundy SM, Brewer HB, Cleeman JI, Smith SC, Lenfant C, et al. Definition of metabolic syndrome. Circulation. 2004;109(3):433-438.
• Referans 21. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome. Circulation. 2009;120(16):1640-1645.
• Referans 22. Ye Z, Huang W, Li J, Tang Y, Shao K, Xiong Y, et al. Association between atherogenic index. J Affect Disord. 2024;356:239-247.
• Referans 23. Pooradl M, Alipour A, Dehkordi MA, Farrokhi MR. Associations between anxiety. Neurol Asia. 2013;18(1).
• Referans 24. Russo GT, Giandalia A, Romeo EL, Cucinotta D. Gender differences. J Sex Gend Specif Med. 2015;1(2):58-65.
• Referans 25. Palmisano BT, Zhu L, Eckel RH, Stafford JM. Sex differences. Mol Metab. 2018;15:45-55.
• Referans 26. Hu Y, Wang X, Luo C, Zheng T, Tian G. Sex difference. Lipids Health Dis. 2023;22(1):10.
• Referans 27. Noda H, Iso H, Irie F, Sairenchi T, Ohtaka E, Ohta H, et al. Gender difference. J Intern Med. 2010;267(6):576-587.
• Referans 28. Feng L, Nian S, Tong Z, Zhu Y, Li Y, Zhang C, et al. Age-related trends. BMJ Open. 2020;10(3):e034226.
• Referans 29. Płaczkowska S, Sołkiewicz K, Bednarz-Misa I, Kratz EM, et al. Atherogenic plasma index. Int J Mol Sci. 2022;23(9):5089.