Oyinbo Atinuke G, Tisminetzky Mayra, Baek Jonggyu, Castaneda-Avila Maira A, DuMontier Clark, Ramanathan Muthalagu, Lapane Kate L, Epstein Mara M
Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
Division of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
PLoS One. 2025 Aug 20;20(8):e0330331. doi: 10.1371/journal.pone.0330331. eCollection 2025.
Multimorbidity influences the management of symptoms, treatment, and health outcomes for older adults with multiple myeloma. Our study characterized patient profiles defined by discrete chronic condition patterns and examined the distribution of their sociodemographic factors in older adults at time of diagnosis with multiple myeloma.
Using the Surveillance, Epidemiology and End Results (SEER) Program database linked with Medicare insurance claims (2007-2017), we examined 11,926 individuals diagnosed with multiple myeloma at age ≥ 65 years. Hierarchical cluster analysis was conducted to identify prevalent patterns of multimorbidity from thirty-three chronic conditions, and sociodemographic factors associated with the identified patterns were examined.
The median age of the cohort was 77 years and 48% were women. Three patient groups with distinct patterns of multimorbidity were identified: minimal multimorbidity featuring minor burden of comorbid conditions (54.3%), psychiatric and musculoskeletal multimorbidity (21.5%), and a high multimorbidity group featuring cardiometabolic and multiple system disorders (20.7%). The remaining 3.5% did not have multimorbidity. Patients in the cardiometabolic and multisystem multimorbidity pattern were the oldest, more likely to reside in geographic areas with high poverty levels and comprised more men and Hispanic individuals than the other two patterns. The psychiatric and musculoskeletal multimorbidity pattern comprised the largest proportion of women and lowest proportion of non-Hispanic Black individuals. Those with relatively minimal multimorbidity burden were the most likely to be married.
Identifying patterns of multimorbidity in older adults newly diagnosed with multiple myeloma provides insight into the burden and clustering tendency of chronic conditions within similar patient groups. Our findings can inform tailored disease management and treatment programs that take these unique multimorbidity profiles into account.
共病影响老年多发性骨髓瘤患者的症状管理、治疗及健康结局。我们的研究对由离散慢性病模式定义的患者概况进行了特征描述,并在老年患者诊断为多发性骨髓瘤时,研究了其社会人口学因素的分布情况。
利用与医疗保险索赔相关联的监测、流行病学和最终结果(SEER)计划数据库(2007 - 2017年),我们研究了11926名年龄≥65岁且诊断为多发性骨髓瘤的个体。进行分层聚类分析以确定33种慢性病中常见的共病模式,并研究与所确定模式相关的社会人口学因素。
该队列的中位年龄为77岁,48%为女性。确定了三个具有不同共病模式的患者组:共病负担较轻的轻度共病组(54.3%)、精神和肌肉骨骼共病组(21.5%)以及以心脏代谢和多系统疾病为特征的高度共病组(20.7%)。其余3.5%没有共病情况。心脏代谢和多系统共病模式的患者年龄最大,更有可能居住在贫困水平较高的地区,与其他两种模式相比,男性和西班牙裔个体占比更多。精神和肌肉骨骼共病模式中女性占比最大,非西班牙裔黑人个体占比最低。共病负担相对较轻的患者最有可能已婚。
识别新诊断为多发性骨髓瘤的老年患者的共病模式,有助于深入了解相似患者群体中慢性病的负担和聚集趋势。我们的研究结果可为考虑这些独特共病概况的定制化疾病管理和治疗方案提供参考。