The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study

Nishioka, Yuichi; Kubo, Shinichiro; Okada, Sadanori; Myojin, Tomoya; Higashino, Tsuneyuki; Imai, Kenjiro; Sugiyama, Takehiro; Noda, Tatsuya; Ishii, Hitoshi; Takahashi, Yutaka; Imamura, Tomoaki

doi:10.1111/jdi.13802

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…The execution time was approximately 3 months. As mentioned in Section 2.7, this method was applied to a 6-year mortality cohort from April 2013 to March 2019 in all Japanese citizens with or without diabetes and published a paper as a result [20]. The study used NDB data to follow people with or without diabetes and compared their ages at death.…”

Section: Resultsmentioning

confidence: 99%

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Development of a New Method to Trace Patient Data Using the National Database in Japan

Myojin

Noda

Kubo

et al. 2022

ABE

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NDB) is a comprehensive database containing health insurance claim information. The structure of the NDB complicates long-term cohorts for two main reasons. First, the NDB data are stored on a per-claim basis. Second, the NDB is a billing-focused record structure. Therefore, the objective of this study was to use ID0 to modify the data structure to allow for long-term cohorts, provided that the data volume is not increased and the runtime per data year is maintained within one month. The NDB uses two primary keys (ID1 and ID2) made from hash values that mask personally identi able information. ID0 is our recently developed key from ID1 and ID2, which improves patient-matching ef ciency with excellent long-term tracing performance. Our study used claim data with ling dates between April 2013 and March 2016 to trace hospitalizations of one month or longer, including outpatient care, in three steps. In Step 1, claims were transferred to a CD-record format. As some diagnosis procedure combination (DPC) claim records contain a mixture of overlapping comprehensive and piece-rate data, we sorted and reorganized them. In Step 2, pharmacy and medical outpatient claims were integrated using the ID0 key, the medical institution code for issuing a prescription, and the prescription issue date. In Step 3, the transferred data were combined and converted from consecutive hospitalization days into sequences based on ID0, the medical institution code, and hospital ward classi cation. Consequently, the size of the originally extracted comma-separated variable dataset for three years (approximately 10.5 TB) was reduced to an approximately 6 TB main database le that was usable for processing. The process took approximately three months. With similar conventional methods, the data size was 30 times larger, and it took more than seven months to process a yearʼs worth of data. In addition, to demonstrate the application of this method, we conducted a six-year mortality cohort for all Japanese citizens. Our technique makes it easy to perform follow-up and longitudinal cohort surveys while accurately tracing patient data in large-scale medical claims databases.

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Section: Resultsmentioning

confidence: 99%

“…After validating this method using the NDB data from April 2013 to March 2016, we applied the method to conduct a cohort study on over 500 million person-years using NDB. and published the results [20].…”

Section: Application Of Analysismentioning

confidence: 99%

Development of a New Method to Trace Patient Data Using the National Database in Japan

Myojin

Noda

Kubo

et al. 2022

ABE

Self Cite

View full text Add to dashboard Cite

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2）脳心血管疾患予防を目指した糖尿病診療

Ueki

2023

J. Jpn. Soc. Intern. Med

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Impact of Type 2 Diabetes and Glycated Hemoglobin Levels Within the Recommended Target Range on Mortality in Older Adults With Cognitive Impairment Receiving Care at a Memory Clinic: NCGG-STORIES

Sugimoto,

Sakurai,

Uchida

et al. 2024

Diabetes Care

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OBJECTIVE To determine the impact of type 2 diabetes and glycated hemoglobin (HbA1c) levels within the recommended target range according to the Japan Diabetes Society/Japan Geriatrics Society Joint Committee on mortality in older adults with cognitive impairment. RESEARCH DESIGN AND METHODS This retrospective cohort study included 1,528 and 468 patients aged ≥65 years without and with type 2 diabetes, respectively, who were visiting a memory clinic. The 468 patients with type 2 diabetes were divided into three groups (within, above, and below the target range) based on their HbA1c levels, cognitive function, ability to perform activities of daily living, and medications associated with a high risk of hypoglycemia. The impact of diabetes and HbA1c levels on mortality was evaluated using Cox proportional hazards models. RESULTS Over a median follow-up period of 3.8 years, 353 patients (17.7%) died. Compared with individuals without type 2 diabetes, HbA1c levels above (hazard ratio [HR] 1.70, 95% CI 1.08–2.69) and below (HR 2.15, 95% CI 1.33–3.48) the target range were associated with a higher risk of death; however, HbA1c levels within the target range were not (HR 1.02, 95% CI 0.77–1.36). CONCLUSIONS HbA1c levels above and below the target range were associated with a higher risk of mortality, whereas patients with HbA1c levels within the target range did not exhibit a higher risk of mortality than individuals without type 2 diabetes. These results provide empirical support for the current target ranges among older adults with cognitive impairment.

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The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study

Cited by 3 publications

References 15 publications

Development of a New Method to Trace Patient Data Using the National Database in Japan

Development of a New Method to Trace Patient Data Using the National Database in Japan

2）脳心血管疾患予防を目指した糖尿病診療

Impact of Type 2 Diabetes and Glycated Hemoglobin Levels Within the Recommended Target Range on Mortality in Older Adults With Cognitive Impairment Receiving Care at a Memory Clinic: NCGG-STORIES

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