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德国百岁老人的多病共存模式:基于健康保险数据的潜在类别分析。

Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data.

机构信息

1 Charité-Universitätsmedizin Berlin, Germany.

2 AOK Nordost, Berlin, Germany.

出版信息

J Aging Health. 2019 Apr;31(4):580-594. doi: 10.1177/0898264317737894. Epub 2017 Oct 31.

Abstract

OBJECTIVES

Multimorbidity in centenarians is common; although investigations of the prevalence of morbidity in centenarians are accumulating, research on profiles of co-occurrence of morbidities is still sparse. Our aim was to explore profiles of comorbidities in centenarians.

METHOD

Health insurance data from 1,121 centenarians comprising inpatient and outpatient diagnoses from the past 5 years (2009-2013) were analyzed using latent class analysis with adjustments for sex, age, hospitalization, and long-term care.

RESULTS

Four distinct comorbidity profiles emerged from the data: 36% of centenarians were categorized as "age-associated"; 18% had a variety of comorbidities but were not diabetic were labeled "multimorbid without diabetes"; 9% were labeled "multimorbid with diabetes"; and 36% "low morbidity."

CONCLUSION

Patterns of comorbidities describe the complexity of geriatric multimorbidity more appropriately than an approach focused on a single disease. The profiles described by this specific research may inform clinicians and health care planners for the oldest old.

摘要

目的

百岁老人中多病共存很常见;尽管百岁老人患病情况的研究在逐渐增多,但对多种疾病共存模式的研究仍较少。本研究旨在探讨百岁老人的共病模式。

方法

本研究使用潜在类别分析,对来自 1121 名百岁老人(2009-2013 年)的医疗保险数据进行分析,这些数据包含过去 5 年的住院和门诊诊断,并对性别、年龄、住院和长期护理进行了调整。

结果

数据显示存在 4 种不同的共病模式:36%的百岁老人被归类为“年龄相关”;18%的人患有多种疾病但没有糖尿病,被标记为“无糖尿病的多种疾病”;9%的人被标记为“有糖尿病的多种疾病”;36%的人被标记为“低发病率”。

结论

与仅关注单一疾病的方法相比,共病模式更能准确描述老年多病共存的复杂性。本研究描述的模式可能为临床医生和医疗保健规划者提供信息,以服务于最年长的老年人。

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