Dataset Information

The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database.

ABSTRACT:

Background

Reducing the considerable non-communicable disease (NCD) burden in the aging Japanese population depends on better understanding of the comorbid and temporal relationships between different NCDs.

Objective

We aimed to identify associations between NCDs and temporal patterns of NCDs in Japan using data from a large medical claims database.

Methods

The study used three-digit International Classification of Diseases, Tenth Revision codes for NCDs for employees and their dependents included in the MinaCare database, which covers the period since 2010. Associations between pairs of NCDs were assessed by calculating risk ratios. The calculated risk ratios were used to create a network of closely associated NCDs (risk ratio > 15, statistically significant) and to assess temporal patterns of NCD diagnoses (risk ratio ≥ 5). The Infomap algorithm was used to identify clusters of diseases for different sex and age strata.

Results

The analysis included 4,200,254 individuals (age < 65 years: 98%). Many of the temporal associations and patterns of the diseases of interest identified in this study were previously known. Regarding the diseases of interest, these associations can be classified as comorbidities, early manifestations initially diagnosed as something else, diseases attributable to or that cause the disease of interest, or caused by pharmacological treatment. International Classification of Diseases, Tenth Revision chapters that were most associated with other chapters included L Diseases of the skin and subcutaneous tissue. In the age-stratified and gender-stratified networks, clusters with the highest numbers of International Classification of Diseases, Tenth Revision codes included I Diseases of the circulatory system and F Mental and behavioral disorders.

Conclusions

Our findings reinforce established associations between NCDs and underline the importance of comprehensive NCD care.

SUBMITTER: Higa S

PROVIDER: S-EPMC9392665 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database.

Higa Shingo S Nozawa Kazutaka K Karasawa Yusuke Y Shirai Chikako C Matsuyama Satoshi S Yamamoto Yuji Y Laurent Thomas T Asami Yuko Y

Drugs - real world outcomes 20220702 3

<h4>Background</h4>Reducing the considerable non-communicable disease (NCD) burden in the aging Japanese population depends on better understanding of the comorbid and temporal relationships between different NCDs.<h4>Objective</h4>We aimed to identify associations between NCDs and temporal patterns of NCDs in Japan using data from a large medical claims database.<h4>Methods</h4>The study used three-digit International Classification of Diseases, Tenth Revision codes for NCDs for employees and t ...[more]

PMID: 35780274

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Dataset Information

The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database.

Background

Objective

Methods

Results

Conclusions

Publications

The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database.

Similar Datasets

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