Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality.

Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality.
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DOI:
10.1016/j.genhosppsych.2020.01.003
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发表时间:
2020-05
影响因子:
7
通讯作者:
Perlis, Roy H.
Perlis, Roy H.
中科院分区:
医学2区
文献类型:
--
作者:
Barroilhet, Sergio A.;Bieling, Alexandra E.;McCoy, Thomas H., Jr.;Perlis, Roy H.

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长期以来,人格一直被研究为与健康结果相关的一个因素。由于个性诊断方法的差异和长期随访的困难,对大规模、可推广的临床队列的调查受到限制。使用先前开发的用于提取DSM-5和ICD-11个性域的自然语言处理工具,对一群住进综合医院的患者的电子健康记录进行了表征。我们使用COX回归和Fine-Gray竞争风险生存来分析这些个性估计、社会人口学特征以及再入院风险和死亡率之间的关系。在12,274名患者中,有2,379人在61761名高危患者年中死亡,其中19985人在随访期间入院。超然是最常见的人格特征。去抑制的存在独立地与较高的死亡风险相关,而无抑制特征与较低的死亡风险相关。再入院的可能性增加是通过脱离来预测的,而再入院的可能性降低与去抑制和精神质特征有关。人格特征可以从电子健康记录中识别出来,并与重新入院和死亡风险有关。制定治疗策略,在特定方面针对人格症状负担较高的患者,可以实现更有效和更有针对性的干预。
Personality has long been studied as a factor associated with health outcomes. Investigations of large, generalizable clinical cohorts are limited by variations in personality diagnostic methodologies and difficulties with long-term follow-up. Electronic health records of a cohort of patients admitted to a general hospital were characterized using a previously developed natural language processing tool for extracting DSM-5 and ICD-11 personality domains. We used Cox regression and Fine-Gray competing risk survival to analyze the relationships between these personality estimates, sociodemographic features, and risk of readmission and mortality. Among 12,274 patients, 2,379 deaths occurred in the course of 61,761 patient-years at risk, with 19,985 admissions during follow-up. Detachment was the most common personality feature. Presence of disinhibition was independently associated with a higher mortality risk, while anankastic traits were associated with a lower mortality risk. Increased likelihood of readmission was predicted by detachment, while decreased likelihood of readmission was associated with disinhibition and psychoticism traits. Personality features can be identified from electronic health records and are associated with readmission and mortality risk. Developing treatment strategies that target patients with higher personality symptom burden in specific dimensions could enable more efficient and focused interventions.
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