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首页> 外文期刊>The Australian and New Zealand journal of psychiatry >Objective smartphone data as a potential diagnostic marker of bipolar disorder
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Objective smartphone data as a potential diagnostic marker of bipolar disorder

机译：客观智能手机数据作为双相障碍的潜在诊断标志物

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Objective: Currently, the diagnosis in bipolar disorder relies on patient information and careful clinical evaluations and judgements with a lack of objective tests. Core clinical features of bipolar disorder include changes in behaviour. We aimed to investigate objective smartphone data reflecting behavioural activities to classify patients with bipolar disorder compared with healthy individuals. Methods: Objective smartphone data were automatically collected from 29 patients with bipolar disorder and 37 healthy individuals. Repeated measurements of objective smartphone data were performed during different affective states in patients with bipolar disorder over 12 weeks and compared with healthy individuals. Results: Overall, the sensitivity of objective smartphone data in patients with bipolar disorder versus healthy individuals was 0.92, specificity 0.39, positive predictive value 0.88 and negative predictive value 0.52. In euthymic patients versus healthy individuals, the sensitivity was 0.90, specificity 0.56, positive predictive value 0.85 and negative predictive value 0.67. In mixed models, automatically generated objective smartphone data (the number of text messages/day, the duration of phone calls/day) were increased in patients with bipolar disorder (during euthymia, depressive and manic or mixed states, and overall) compared with healthy individuals. The amount of time the smartphone screen was 'on' per day was decreased in patients with bipolar disorder (during euthymia, depressive state and overall) compared with healthy individuals. Conclusion: Objective smartphone data may represent a potential diagnostic behavioural marker in bipolar disorder and may be a candidate supplementary method to the diagnostic process in the future. Further studies including larger samples, first-degree relatives and patients with other psychiatric disorders are needed.
机译：目的：目前，双相情感障碍的诊断依赖于患者信息和仔细的临床评估和缺乏客观测试的判断。双相障碍的核心临床特征包括行为的变化。我们旨在调查反映行为活动的客观智能手机数据，与健康个体相比对双相障碍的患者进行分类。方法：目标智能手机数据从29例双相障碍和37名健康个体自动收集。在12周超过12周的双相障碍患者的不同情感状态下对客观智能手机数据进行重复测量，并与健康个体相比。结果：总体而言，双相障碍与健康个体患者的客观智能手机数据的敏感性为0.92，特异性0.39，阳性预测值0.88和负预测值0.52。在Euthymic患者与健康个体相比，敏感性为0.90，特异性0.56，阳性预测值0.85和负预测值0.67。在混合模型中，自动生成的目标智能手机数据（文本消息的数量/日，电话呼叫/日的持续时间）增加了与健康相比的患者（在Euthymia，抑郁和躁狂或混合状态）的患者中增加个人。与健康个体相比，双相情感障碍（抑郁症，抑郁状态和整体）患者，智能手机屏幕为每天'on'的时间。结论：客观智能手机数据可以代表双相情感障碍的潜在诊断行为标志物，并且可能是未来诊断过程的候选补充方法。需要进一步的研究，包括较大的样品，一级亲属和患有其他精神疾病的患者。

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