Guo Ying, Musselman Dominique L, Manatunga Amita K, Gilles Natalie, Lawson Kathryn C, Porter Maryfrances R, McDaniel J Stephen, Nemeroff Charles B
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Woodruff Research Memorial Building, 101 Woodruff Circle, Suite 4000, Atlanta, GA 30322, USA.
Psychosomatics. 2006 Sep-Oct;47(5):376-84. doi: 10.1176/appi.psy.47.5.376.
Depressive symptoms not only impair quality of life in cancer patients but constitute an independent risk factor for increased mortality. In order to accurately and efficiently identify depression in cancer patients, the authors developed a biostatistical strategy to identify items of the 21-item, observer-rated Hamilton Rating Scale for Depression (Ham-D) that would optimize the diagnosis of depression among cancer patients. Exhibiting a relatively high sensitivity and specificity, our most optimal diagnostic tool contained six Ham-D items (late insomnia, agitation, psychic anxiety, diurnal mood variation, depressed mood, and genital symptoms). This study may serve as a prototype to generate valid instruments accurate for the diagnosis of major depression in other populations of cancer patients.
抑郁症状不仅会损害癌症患者的生活质量,还构成死亡率增加的独立危险因素。为了准确、高效地识别癌症患者的抑郁症,作者开发了一种生物统计学策略,以确定21项观察者评定的汉密尔顿抑郁量表(Ham-D)中的项目,这些项目将优化癌症患者抑郁症的诊断。我们最优化的诊断工具具有相对较高的敏感性和特异性,包含6个Ham-D项目(晚期失眠、激越、精神性焦虑、昼夜情绪变化、抑郁情绪和生殖器症状)。本研究可作为一个原型,以生成适用于诊断其他癌症患者群体中重度抑郁症的有效工具。