P.0088 Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis

European Neuropsychopharmacology(2021)

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摘要
The probable implication of testosterone in the neurobiology of anxiety disorders, and particularly panic disorder (PD), is poorly studied. We explored for potential differences concerning testosterone (T) plasma levels and the ratio testosterone/cortisol (T/C) between medication-free, consecutively-referred patients with acute exacerbation of PD comorbid with agoraphobia (PDA) (N = 40; females = 24; age = 31.4 ± 7.1 years) and healthy controls (N = 80; females = 48; matched for age). Moreover, we investigated for potential associations of T levels and T/C ratio with the severity of acute PDA psychopathology in the patients of the sample. Psychometric measures included panic attacks’ number during last three weeks (PA-21days), the Agoraphobic Cognitions Questionnaire (ACQ) and the Hamilton Anxiety Rating Scale (HARS). Male patients –but not female ones- demonstrated significantly lower T levels compared to controls. Moreover, in male patients, a significant inverse association emerged between T/C ratio and PA-21days, so that lower T/C ratio is associated with significantly more panic attacks. On the contrary, female patients demonstrated significant positive associations: (a) between T levels and PDA-related pathological cognitions (ACQ); (b) between the T/C ratio and both PA-21days and anxiety symptoms’ severity (HARS). The results of the study suggest that testosterone is significantly associated to the severity of clinical manifestations of acute panic disorder, although in a different fashion concerning the two genders.
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bipolar disorder,neuropsychological markers,machine learning,prediction,meta-analysis
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