Uddin Shahadat, Wang Shangzhou, Khan Arif, Lu Haohui
Faculty of Engineering, 4334The University of Sydney, Forest Lodge, Australia.
Chronic Illn. 2023 Jun;19(2):304-313. doi: 10.1177/17423953221087647. Epub 2022 Mar 21.
The presence of one chronic disease often leads to the development of one or more other chronic diseases. This study examines whether there are significant progressions between chronic diseases and identifies the risk factors that influence them.
This study used an administrative healthcare dataset sample from 29,280 hospitalized patients over 24 years (1995 to 2018, inclusive) to explore the progression of common chronic diseases and their major comorbidities. An Australian health insurance organization provided the dataset. We used the to examine the statistical significance of progression between chronic diseases. A network analysis approach is followed to rank different chronic diseases contributing to disease progressions.
We found that few chronic diseases (e.g. cardiovascular diseases and diabetes) have a high prevalence in progressing to other chronic diseases, which is statistically significant at ≤ 0.05. These progression frequencies significantly increase with time and age. We also found that patients' sex differently affects the disease progressions.
This study found that some chronic diseases have a high prevalence in comorbidity progressions. In addition, the progression statistics differ with time and age. The results of this study can help researchers, stakeholders, and policymakers gain insights into the disease transitions and act as a guiding tool to assess future disease burden and plan accordingly.
一种慢性病的存在往往会导致一种或多种其他慢性病的发展。本研究旨在探讨慢性病之间是否存在显著的病情进展，并确定影响这些进展的风险因素。
本研究使用了一个来自29280名住院患者的24年（1995年至2018年，含）行政医疗数据集样本，以探究常见慢性病及其主要合并症的病情进展。数据集由一家澳大利亚健康保险机构提供。我们使用[具体方法未给出]来检验慢性病之间进展的统计学显著性。采用网络分析方法对导致疾病进展的不同慢性病进行排名。
我们发现，少数慢性病（如心血管疾病和糖尿病）在进展为其他慢性病方面具有较高的患病率，在≤0.05时具有统计学显著性。这些进展频率随时间和年龄显著增加。我们还发现患者的性别对疾病进展有不同影响。
本研究发现，一些慢性病在合并症进展中具有较高的患病率。此外，进展统计数据随时间和年龄而不同。本研究结果可帮助研究人员、利益相关者和政策制定者深入了解疾病转变情况，并作为评估未来疾病负担及相应规划的指导工具。
