Biostatistics Core, Department of Complementary and Integrative Medicine, University of Hawaii John A. Burns School of Medicine, Biosciences Building, Suite 211, 651 Ilalo Street, Honolulu, HI, 96813, USA.
BMC Public Health. 2018 Jun 18;18(1):752. doi: 10.1186/s12889-018-5688-y.
Diabetes mellitus, ischemic heart disease, and chronic kidney disease are three major chronic conditions that develop with increasing risks among adults as they get older. The interconnectedness of these three chronic conditions is well known, while each condition acts as a prognostic risk factor for the other two. It is important to understand the progressive relationships of these three conditions over time in terms of transitioning between clinical states and the impact on patients' survival.
We investigate the survival characteristics of a Medicare population aged 65 years and above in a multistate system that contained clinical states specified by death and diagnosis combinations of three chronic conditions. The study was conducted using Hawaii Medicare claims data from 2009 to 2013. To evaluate the progression of a subject with one of the newly diagnosed chronic conditions, we analyzed quantities such as state occupation probabilities in eight states and hazards of sixteen transition types. We quantified effects and significances of potential covariates such as age, gender, race/ethnicity, comorbidity burden and financial status on these temporal functions. Nonparametric method of estimating state occupation probabilities and pseudo-value based method for estimating covariate effects of a survival system were utilized.
We found a range of age, gender, race/ethnicity and financial status based interesting covariate influences on transitions and state occupation probabilities of the system.
Survival characteristics of the disease system are influenced by subject-specific effects. Subgroup-specific interventions/screenings should be considered for the optimal prevention and care.
糖尿病、缺血性心脏病和慢性肾脏病是三种主要的慢性疾病,随着成年人年龄的增长,这些疾病的风险逐渐增加。这三种慢性疾病之间相互关联,每种疾病都作为另外两种疾病的预后危险因素。了解这些疾病在临床状态之间的转变以及对患者生存的影响,从时间上了解这三种疾病之间的渐进关系是很重要的。
我们在一个多状态系统中研究了 Medicare 人群中年龄在 65 岁及以上的人群的生存特征,该系统包含由三种慢性疾病的死亡和诊断组合指定的临床状态。该研究使用了 2009 年至 2013 年的夏威夷 Medicare 索赔数据。为了评估患有新诊断的慢性疾病之一的患者的进展情况,我们分析了八个州的状态占用概率和十六种转换类型的风险等数量。我们量化了年龄、性别、种族/民族、合并症负担和财务状况等潜在协变量对这些时间函数的影响和显著性。我们利用了估计状态占用概率的非参数方法和估计生存系统协变量影响的伪值方法。
我们发现,年龄、性别、种族/民族和财务状况的范围在一定程度上影响了系统的转移和状态占用概率。
疾病系统的生存特征受到个体特异性影响。应考虑针对特定亚组的干预/筛查,以实现最佳预防和护理。