Functional mixed effects clustering with application to longitudinal urologic chronic pelvic pain syndrome symptom data.
Functional mixed effects clustering with application to longitudinal urologic chronic pelvic pain syndrome symptom data.
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DOI：
10.1080/01621459.2022.2066536
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发表时间：
2022
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
通过将泌尿科慢性盆腔疼痛综合征（UCPPS）患者分为同质亚组，并将这些亚组与基线协变量和其他临床结果相关联，我们提供了研究发病机制的不同潜在因素的机会，这也可以指导我们选择适当的治疗靶点。受具有广泛受试者异质性和轨迹差异变异性的纵向泌尿系统症状数据的启发，我们提出了一种功能聚类程序，其中每个亚组均通过功能混合效应模型进行建模，并使用后验概率迭代地将每个受试者分类为不同的亚组。该分类考虑了组平均轨迹和受试者之间的变异性。我们开发了一个等效的状态空间模型以进行高效计算。我们还提出了一种基于交叉验证的 Kullback-Leibler 信息准则来选择最佳子组数量。通过模拟研究评估所提出方法的性能。我们将我们的方法应用于 UCPPS 纵向队列研究中的原发性泌尿泌尿症状评分的纵向双周测量，并确定了四个亚组，范围为中度下降、轻度下降、稳定和轻度增加。由此产生的聚类还与几个临床重要结果的一年变化相关，并且还与几个临床相关基线预测因子相关，例如睡眠障碍评分、身体生活质量和痛苦的紧迫感。
By clustering patients with the urologic chronic pelvic pain syndromes (UCPPS) into homogeneous subgroups and associating these subgroups with baseline covariates and other clinical outcomes, we provide opportunities to investigate different potential elements of pathogenesis, which may also guide us in selection of appropriate therapeutic targets. Motivated by the longitudinal urologic symptom data with extensive subject heterogeneity and differential variability of trajectories, we propose a functional clustering procedure where each subgroup is modeled by a functional mixed effects model, and the posterior probability is used to iteratively classify each subject into different subgroups. The classification takes into account both group-average trajectories and between-subject variabilities. We develop an equivalent state-space model for efficient computation. We also propose a cross-validation based Kullback-Leibler information criterion to choose the optimal number of subgroups. The performance of the proposed method is assessed through a simulation study. We apply our methods to longitudinal bi-weekly measures of a primary urological urinary symptoms score from a UCPPS longitudinal cohort study, and identify four subgroups ranging from moderate decline, mild decline, stable and mild increasing. The resulting clusters are also associated with the one-year changes in several clinically important outcomes, and are also related to several clinically relevant baseline predictors, such as sleep disturbance score, physical quality of life and painful urgency.
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影响因子：
1.9
作者：
Giacofci, M.;Lambert-Lacroix, S.;Picard, F.
通讯作者：
Picard, F.
DOI：
10.1109/34.865189
发表时间：
2000-07-01
影响因子：
23.6
作者：
Biernacki, C;Celeux, G;Govaert, G
通讯作者：
Govaert, G
影响因子：
1.1
作者：
Baudry, Jean-Patrick
通讯作者：
Baudry, Jean-Patrick
DOI：
10.1111/j.1467-9868.2007.00605.x
发表时间：
2007-01-01
影响因子：
5.8
作者：
Chiou, Jeng-Min;Li, Pai-Ling
通讯作者：
Li, Pai-Ling
DOI：
10.1198/016214505000000187
发表时间：
2006-03-01
影响因子：
3.7
作者：
Heard, NA;Holmes, CC;Stephens, DA
通讯作者：
Stephens, DA