Abstract
Objective: To investigate the incidence rate and risk factors of nonalcoholic fatty liver disease (NAFLD) in patients with schizophrenia (SCZ). Methods: The incidence rate of NAFLD in 115 females with SCZ over 40 years of age with complete clinical data was analyzed with the consent of the Ethics Committee of Nantong Fourth People's Hospital. A physical examination report of healthy subjects (n = 95, female, age 40 years old or older) was taken as the control group. Natural language processing technology was used to extract relevant data from the patient's electronic medical record system. Body mass index, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, and adiponectin were used to establish a human NAFLD-related model. Logistic regression analysis was used to evaluate the psychiatric symptoms, and physiological and biochemical indexes for the predictive value of NAFLD in female patients with SCZ. Results: The prevalence of NAFLD was significantly higher in the SCZ group (55.7%, 64/115) than that in the control group (26.3%, 25/95) (χ (2) = 18.335, P < 0.001). The prediction model showed that age, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, adiponectin, and body mass index were significantly correlated with NAFLD in females with SCZ. In the natural language processing search language model, arousal intensity (movements: uncontrolled running behavior) and emotional apathy were strongly linked to female patients with SCZ with NAFLD. Age, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, and body mass index were risk factors for SCZ to develop NAFLD, and adiponectin levels and uncontrolled running behavior were protective factors. Conclusion: The incidence rate of NAFLD is high in middle-aged and elderly females with SCZ. Natural language processing can help to automatically identify the risk factors for SCZ combined with NAFLD and has predictive and auxiliary diagnostic value.