Benedetti F, Barbini B, Colombo C, Campori E, Smeraldi E
Istituto Scientifico H. San Raffaele, Department of Neuropsychiatric Sciences, University of Milan, School of Medicine, Italy.
J Affect Disord. 1996 Nov 25;41(2):81-7. doi: 10.1016/s0165-0327(96)00071-7.
We investigated the predictability of infradian mood fluctuations during acute depressive episodes in patients affected by mood disorders. Previous findings showed that in a subgroup of patients the depressive symptomathology fluctuates with day-to-day changes which follow cyclical patterns (termed "minicycles'). We applied time series analysis, by means of autocorrelation techniques, to time lagged serial recordings of perceived mood levels of 22 inpatients (13 Major Depressive Recurrent and 9 Bipolar Depressive Disorders). Five patients (22.7%) were shown to exhibit predictable cyclical patterns in their perceived symptomathology, ranging in length from 6 to 14 days. Our study confirms the existence and the predictability, in a subgroup of patients, of cyclical mood patterns. Preliminary evidence suggests that patients with minicycles receive more medication changes than patients without, and thus that cyclical mood fluctuations strongly interacts with both the clinical decision making process and the outcome of acute depressive episodes.
我们研究了情绪障碍患者急性抑郁发作期间超日节律情绪波动的可预测性。先前的研究结果表明，在一部分患者中，抑郁症状会随着日常变化而波动，呈现出周期性模式（称为“微周期”）。我们采用自相关技术进行时间序列分析，对22名住院患者（13例复发性重度抑郁症和9例双相抑郁障碍）感知情绪水平的时间滞后序列记录进行分析。结果显示，5名患者（22.7%）的感知症状呈现出可预测的周期性模式，周期长度为6至14天。我们的研究证实了在一部分患者中存在周期性情绪模式及其可预测性。初步证据表明，有微周期的患者比没有微周期的患者接受更多的药物调整，因此周期性情绪波动与临床决策过程和急性抑郁发作的结果密切相关。
