The Journal of Practical Medicine ›› 2025, Vol. 41 ›› Issue (8): 1205-1211.doi: 10.3969/j.issn.1006-5725.2025.08.017

• Clinical Research • Previous Articles    

Establishment of a nomogram model for comorbid cardiovascular disease in schizophrenia based on electrocardiogram parameters and kynurenine metabolites

Rui GUO1,Tao LIU1,Xi. SU2   

  1. Department of Electronic Science,the Second Affiliated Hospital of Xinxiang Medical College (Henan Psychiatric Hospital),Xinxiang 453002,Henan,China
  • Received:2025-01-08 Online:2025-04-25 Published:2025-04-30

Abstract:

Objective To explore the factors influencing comorbid cardiovascular disease in schizophrenia and to construct a column-line graphical model. Methods Clinical data of 586 schizophrenic patients in the hospital from June 2023 to October 2024 were retrospectively collected. The study included 100 patients with comorbid cardiovascular disease and 486 patients without co-morbid cardiovascular disease, which were divided into the comorbidity group (n = 100) and the non-comorbidity group (n = 486). Propensity score matching (PSM) was used to reduce between-group bias. The clinical data, electrocardiogram parameters [QT corrected by heart rate (QTc), Tp-Te interval corrected by heart rate (TP-Tec)], and Kynurenine (KYN) metabolites [tryptophan (TRP), KYN, and kynurenic acid (KYNA)] were statistically analyzed in both groups. Logistic regression equation was used to screen the influencing factors of comorbid cardiovascular disease in schizophrenia. A nomogram model was constructed and validated. Results (1) BMI, smoking, alcohol consumption, sleep disorders, QTc, TP-Tec, TRP, KYN, and KYNA were all high-risk factors for co-morbid cardiovascular disease in schizophrenia (P < 0.05). (2) The diagnostic AUC for the nomogram model was 0.876, and there was a good concordance between diagnostic and observational results; and the threshold probability of a net patient benefit was higher when the threshold probability was between 5% and 100%. Conclusion The nomogram model constructed based on QTc, TP-Tec, TRP, KYN, KYNA, etc. can help improve the diagnostic value of schizophrenia comorbid cardiovascular disease, guide clinical diagnosis and treatment, and reduce cardiovascular disease.

Key words: schizophrenia, cardiovascular disease, electrocardiogram, kynurenine metabolites, nomograph model

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