Francoeur Richard B
School of Social Work and the Center for Health Innovation, Adelphi University, Garden City, NY, USA ; Center for the Psychosocial Study of Health and Illness, Columbia University, New York, NY, USA.
Onco Targets Ther. 2014 Dec 22;8:57-72. doi: 10.2147/OTT.S68859. eCollection 2015.
Most patients with advanced cancer experience symptom pairs or clusters among pain, fatigue, and insomnia. However, only combinations where symptoms are mutually influential hold potential for identifying patient subgroups at greater risk, and in some contexts, interventions with "cross-over" (multisymptom) effects. Improved methods to detect and interpret interactions among symptoms, signs, or biomarkers are needed to reveal these influential pairs and clusters. I recently created sequential residual centering (SRC) to reduce multicollinearity in moderated regression, which enhances sensitivity to detect these interactions.
I applied SRC to moderated regressions of single-item symptoms that interact to predict outcomes from 268 palliative radiation outpatients. I investigated: 1) the hypothesis that the interaction, pain × fatigue/weakness × sleep problems, predicts depressive affect only when fever presents, and 2) an exploratory analysis, when fever is absent, that the interaction, pain × fatigue/weakness × sleep problems × depressive affect, predicts mobility problems. In the fever context, three-way interactions (and derivative terms) of the four symptoms (pain, fatigue/weakness, fever, sleep problems) are tested individually and simultaneously; in the non-fever context, a single four-way interaction (and derivative terms) is tested.
Fever interacts separately with fatigue/weakness and sleep problems; these comoderators each magnify the pain-depressive affect relationship along the upper or full range of pain values. In non-fever contexts, fatigue/weakness, sleep problems, and depressive affect comagnify the relationship between pain and mobility problems.
Different mechanisms contribute to the pain × fatigue/weakness × sleep problems interaction, but all depend on the presence of fever, a sign/biomarker/symptom of proinflammatory sickness behavior. In non-fever contexts, depressive affect is no longer an outcome representing malaise from the physical symptoms of sickness, but becomes a fourth symptom of the interaction. In outpatient subgroups at heightened risk, single interventions could potentially relieve multiple symptoms when fever accompanies sickness malaise and in non-fever contexts with mobility problems. SRC strengthens insights into symptom pairs/clusters.
大多数晚期癌症患者在疼痛、疲劳和失眠等症状之间存在症状组合或症状群。然而,只有症状相互影响的组合才有潜力识别出风险更高的患者亚组,并且在某些情况下,才有可能进行具有“交叉”(多症状)效应的干预。需要改进检测和解释症状、体征或生物标志物之间相互作用的方法,以揭示这些有影响的组合和症状群。我最近创建了顺序残差中心化(SRC)方法,以减少调节回归中的多重共线性,从而提高检测这些相互作用的敏感性。
我将SRC应用于对268名姑息性放疗门诊患者的单项症状进行的调节回归分析,这些症状相互作用以预测结果。我研究了:1)疼痛×疲劳/虚弱×睡眠问题的相互作用仅在出现发热时才预测抑郁情绪的假设,以及2)在无发热情况下的探索性分析,即疼痛×疲劳/虚弱×睡眠问题×抑郁情绪的相互作用预测活动能力问题。在发热情况下,分别并同时测试四种症状(疼痛、疲劳/虚弱、发热、睡眠问题)的三向相互作用(及衍生项);在无发热情况下,测试单一的四向相互作用(及衍生项)。
发热分别与疲劳/虚弱和睡眠问题相互作用;这些共同调节因素在疼痛值的上限或整个范围内均放大了疼痛与抑郁情绪之间的关系。在无发热情况下,疲劳/虚弱、睡眠问题和抑郁情绪共同放大了疼痛与活动能力问题之间的关系。
不同的机制导致了疼痛×疲劳/虚弱×睡眠问题的相互作用,但所有这些都取决于发热的存在,发热是促炎性疾病行为的一种体征/生物标志物/症状。在无发热情况下,抑郁情绪不再是代表疾病身体症状不适的结果,而是成为相互作用的第四种症状。在风险较高的门诊患者亚组中,当发热伴随疾病不适时以及在存在活动能力问题的无发热情况下,单一干预措施可能潜在地缓解多种症状。SRC增强了对症状组合/症状群的深入理解。