Mapping the Japanese orthopedic association national registry (JOANR) to the international classification of health interventions (ICHI)

Abe, Koki; Kawase, Hirokazu; Yokogawa, Noriaki; Yamashita, Keishi; Yamashita, Masaomi; Sasaki, Tatsuo; Yamaoka, Akiyoshi; Maki, Satoshi; Inage, Kazuhide; Eguchi, Yawara; Orita, Sumihisa; Ohtori, Seiji

doi:10.1016/j.jos.2023.01.002

Cited by 3 publications

(2 citation statements)

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“…Clinical practice data included examination, treatment, surgery, anesthesia, and rehabilitation with Japan's unique procedure/treatment code. The procedure/treatment code can be converted to the International Classification of Health Interventions 16 …”

Section: Methodsmentioning

confidence: 99%

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Glycemic control target for liver and cardiovascular events risk in metabolic dysfunction‐associated steatotic liver disease

Tamaki,

Wakabayashi,

Kimura

et al. 2024

Hepatology Research

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AimsOptimizing glycemic control may prevent liver‐related events and major adverse cardiovascular events (MACE) in patients with metabolic dysfunction‐associated steatotic liver disease (MASLD). However, the optimal hemoglobin A1c (HbA1c) threshold associated with a lower risk of complications, particularly liver‐related events as well as MACE is unknown.MethodsWe investigated a nationwide population‐based cohort and identified 633 279 patients with MASLD, with a mean follow‐up of 4.2 years. Hemoglobin A1c levels were measured annually. The primary endpoint was the risk of liver‐related events and MACE and to determine the optimal HbA1c level associated with the risk of complications.ResultsMean HbA1c (per 1%) was associated with liver‐related events (subdistribution hazard ratio [sHR] 1.26; 95% confidence interval [CI], 1.12–1.42) as well as MACE (sHR 1.36; 95% CI, 1.32–1.41) after adjustment for confounders. Multivariable sHR (95% CI) for HbA1c of <5.0%, 6.0%–6.9%, 7.0%–7.9%, 8.0%–8.9%, and ≥9.0% (reference, 5.0%–5.9%) were 14 (9.1–22), 1.70 (1.2–2.3), 3.32 (2.3–4.8), 3.81 (2.1–6.8), and 4.83 (2.4–9.6) for liver‐related events, and 1.24 (0.8–1.8), 1.27 (1.2–1.4), 1.70 (1.5–2.0), 2.36 (1.9–2.9), and 4.17 (3.5–5.0) for MACE. An HbA1c level of 7% was selected as the optimal threshold for predicting complications (sHR 2.40 [1.8–3.2] for liver‐related events and 1.98 [1.8–2.2] for MACE).ConclusionThe risk of liver‐related events as well as MACE increased in a dose‐dependent fashion with an increase in HbA1c levels, except for patients with HbA1c <5.0% for liver‐related events. An HbA1c level of 7% was the optimal threshold associated with a lower risk of complications and may be utilized as a target for glycemic control in patients with MASLD.

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Section: Methodsmentioning

confidence: 99%

“…The procedure/treatment code can be converted to the International Classification of Health Interventions. 16 As all claims were integrated by the health insurance association, diagnosis and treatment were tracked even when patients switched care providers, allowing for accurate long-term assessment of the disease course.…”

mentioning

confidence: 99%

Glycemic control target for liver and cardiovascular events risk in metabolic dysfunction‐associated steatotic liver disease

Tamaki,

Wakabayashi,

Kimura

et al. 2024

Hepatology Research

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Meetings and writing in orthopaedic surgery

Hernigou¹,

Hosny

Waddell

et al. 2023

International Orthopaedics (SICOT)

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Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges

Fung

Burelle

et al. 2023

Journal of the American Medical Informatics Association

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Objective To study the coverage and challenges in mapping 3 national and international procedure coding systems to the International Classification of Health Interventions (ICHI). Materials and Methods We identified 300 commonly used codes each from SNOMED CT, ICD-10-PCS, and CCI (Canadian Classification of Health Interventions) and mapped them to ICHI. We evaluated the level of match at the ICHI stem code and Foundation Component levels. We used postcoordination (modification of existing codes by adding other codes) to improve matching. Failure analysis was done for cases where full representation was not achieved. We noted and categorized potential problems that we encountered in ICHI, which could affect the accuracy and consistency of mapping. Results Overall, among the 900 codes from the 3 sources, 286 (31.8%) had full match with ICHI stem codes, 222 (24.7%) had full match with Foundation entities, and 231 (25.7%) had full match with postcoordination. 143 codes (15.9%) could only be partially represented even with postcoordination. A small number of SNOMED CT and ICD-10-PCS codes (18 codes, 2% of total), could not be mapped because the source codes were underspecified. We noted 4 categories of problems in ICHI—redundancy, missing elements, modeling issues, and naming issues. Conclusion Using the full range of mapping options, at least three-quarters of the commonly used codes in each source system achieved a full match. For the purpose of international statistical reporting, full matching may not be an essential requirement. However, problems in ICHI that could result in suboptimal maps should be addressed.

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Mapping the Japanese orthopedic association national registry (JOANR) to the international classification of health interventions (ICHI)

Cited by 3 publications

References 7 publications

Glycemic control target for liver and cardiovascular events risk in metabolic dysfunction‐associated steatotic liver disease

Glycemic control target for liver and cardiovascular events risk in metabolic dysfunction‐associated steatotic liver disease

Meetings and writing in orthopaedic surgery

Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges

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