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使用马尔可夫多状态模型研究癌症门诊患者症状严重程度的进展:某些症状是否比其他症状得到更好的控制?

Using Markov Multistate Models to Examine the Progression of Symptom Severity Among an Ambulatory Population of Cancer Patients: Are Certain Symptoms Better Managed Than Others?

作者信息

Jia Jing, Barbera Lisa, Sutradhar Rinku

机构信息

Department of Biostatistics, Dalla Lana School of Public Health, Toronto, Ontario, Canada.

Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.

出版信息

J Pain Symptom Manage. 2016 Feb;51(2):232-9. doi: 10.1016/j.jpainsymman.2015.09.008. Epub 2015 Oct 23.

Abstract

CONTEXT

Patient-reported assessments of symptom severity can assist providers in monitoring and managing symptoms for cancer patients, which is important for offering patients optimal cancer care. Understanding which symptoms deteriorate at a faster rate over time can help identify areas for improving symptom management.

OBJECTIVES

This article aimed to longitudinally examine the transitions in symptom severity over time and determine which symptoms deteriorate most rapidly.

METHODS

This was an Ontario-wide cohort study from 2007 to 2011 of adult outpatients diagnosed with cancer. During every symptom assessment at the cancer center, patients reported their level of severity for each of nine symptoms. A Markov multistate model under an intermittent observation scheme was implemented to examine the progression of symptom severity over time among cancer patients.

RESULTS

This study included 55,883 patients with over 280,000 symptom assessments. The median time between assessments was 29 days, and the majority of patients had at least three assessments. The symptoms deteriorating most rapidly over time were fatigue and well-being, whereas the symptom deteriorating least rapidly over time was nausea.

CONCLUSION

The availability of numerous medications for treating nausea, compared to fatigue and well-being, may be a reasonable explanation for our findings. Alternate management for these symptoms, such as exercise for reducing fatigue, should be investigated to improve patients' quality of life. The use of multistate modeling methods is also unique in the study of symptom progression and provides a more in-depth understanding of the likelihood of symptom deterioration and improvement over time.

摘要

背景

患者报告的症状严重程度评估有助于医疗服务提供者监测和管理癌症患者的症状,这对于为患者提供最佳癌症护理至关重要。了解哪些症状随时间推移恶化速度更快有助于确定改善症状管理的领域。

目的

本文旨在纵向研究症状严重程度随时间的变化,并确定哪些症状恶化最快。

方法

这是一项2007年至2011年在安大略省范围内针对成年癌症门诊患者的队列研究。在癌症中心的每次症状评估中,患者报告九种症状中每种症状的严重程度。采用间歇观察方案下的马尔可夫多状态模型来研究癌症患者症状严重程度随时间的变化。

结果

本研究纳入了55883名患者,进行了超过280000次症状评估。评估之间的中位时间为29天,大多数患者至少进行了三次评估。随时间恶化最快的症状是疲劳和幸福感,而随时间恶化最慢的症状是恶心。

结论

与疲劳和幸福感相比,有多种治疗恶心的药物可供使用,这可能是我们研究结果的一个合理原因。应研究这些症状的替代管理方法,如通过运动减轻疲劳,以提高患者的生活质量。多状态建模方法在症状进展研究中的应用也是独一无二的,它能更深入地了解症状随时间恶化和改善的可能性。

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