• Journal of Preventive Medicine and Public Health
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• 제32권4호
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• pp.538-545
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• 1999

Objective : To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. Methods : ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. Results : ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. Conclusions : The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.

• 웰빙융합연구
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• 제6권3호
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• pp.1-11
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• 2023

Purpose: This research aims to facilitate a smooth transition from KCD-8 to ICD-11 through the study of ICD-11. Research design, data and methodology: Skilled Health Information Managers (HIMs) in Korea performed manual mapping and conducted a study of the code structure of ICD-11 chapters 11 and 12. Results: When comparing the granularity between ICD-11 and KCD-8, 58.1% of ICD-11 codes showed higher granularity, and 38.6% had similar granularity. The granularity of the circulatory system was higher than that of the respiratory system. When comparing the KCD-8 codes mapped by ICD-11 with the total 924 KCD-8 codes, it was found that about 50% of KCD-8 codes were not mapped to ICD-11. This means that 50% of diseases in the KCD-8 do not have individual codes as they did in ICD-11. Conclusions: ICD-11 demonstrated high granularity, indicating its effectiveness in describing cutting-edge medical technology in modern society. However, we also observed that some diseases were removed from KCD-8, while others were added to ICD-11. To ensure smooth statistics transition from KCD8 to ICD-11, especially for leading domestic diseases, integrated management, including the preparation of KCD-9 reflecting ICD-11 and ICD-11 training, will be necessary through the analysis of new codes and the removal of codes.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제16권2호
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• pp.192-198
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• 2005

본 고찰에서는 DSM-IV의 주의력결핍과잉행동장애(attention-deficit hyperactivity disorder, ADHD)와 ICD-10의 과잉행동장애(hyperkinetic disorder, HKD)의 진단 체계를 비교하였고 그 차이점을 분석하여 임상 및 연구 측면에서 어떠한 의의가 있는지를 살펴보았다. 아직까지 DSM의 ADHD와 ICD의 HKD를 직접 비교한 연구들은 매우 부족한 상태이지만, DSM-IV의 ADHD가 ICD-10의 HKD 보다 광범위한 ADHD의 한 아형라는 것을 알 수 있었다. DSM-IV ADHD의 유병율은 ICD-10 HKD과 비교했을 때 더 높았으며 그 차이는 뚜렷했다. 이러한 결과가 DSM-IV 진단 알고리즘에서 부주의 우세형과 과잉행동-충동성 우세형이 포함되어 ADHD의 범위가 더욱 확장되어 나타난 것인지에 대해서는 아직까지 알 수 없다. 그리고 현재까지 진행된 연구들을 종합해 보았을 때, DSM-IV HKD와 DSM-IV ADHD가 질적으로 같거나 혹은 다르다고 주장할 수는 있는 충분한 근거는 없어 보인다. 다만 HKD가 보다 심한 형태의 ADHD의 한 아형일 가능성이 시사되고 있다. 그러므로 현재로써는 임상에서 환자를 진단하는데 있어 DSM-IV 혹은 ICD-10 중 일방에만 의존하여 ADHD/HKD 장애를 과다하게 진단 내리거나 혹은 실제보다 적게 진단내리는 것을 경계하여야 할 것이다. 특히 질병통계와 보험체계는 WHO의 ICD진단 체계에 맞춰져 있으나 대학이나 전공의 과정 중에는 주로 APA의 DSM진단 기준에 맞춰 학습하는 우리나라의 현실을 감안했을 때 과연 ADHD/HKD에 대한 진단율이 실제 유병율에 비해 과다한지 혹은 부족한지에 대해서도 관심을 기울일 필요가 있다. DSM-IV ADHD와 ICD-10 HKD가 진단적으로 얼마만큼 근접하고 있는지에 대해서는 주요 임상 변인과 endophenotype을 포함한 진단적 타당성에 대한 연구들이 더 진행되고, 관련된 가족연구와 장기 추적 연구들이 뒷받침 되었을 때 보다 명확해질 것으로 생각되며, 또한 ADHD/HKD에 대한 APA와 WHO가 보다 근접하고 일치되는 진단 알고리즘이 개발될 수 있을 것이라 예상된다.

• 대한한의학방제학회지
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• 제30권3호
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• pp.183-189
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• 2022

Objective : This study aims to analyze the current use of body part terminology in Korean medicine formula data by comparing with ICD-11 body part terminology as a criteria. Methods : Body part terminology was extracted from the main treatment data within the Korean Medicine formula ontology and was analyzed in comparison with the ICD-11 body part terminology. Results : Out of 113 body part terminologies in Korean medicine, 92 were corresponded with ICD in a one-to-one, one-to-multi, or multi-to-one relation. Also, most body part terminologies were corresponded to superordinate concepts of ICD while 21 terminologies were not able to be corresponded to ICD. Conclusion : A majority of body part terminology in formula data could be corresponded to ICD but mostly refered to superordinate concepts. Results showed various types of corresponding relation which requires further study for precise and detailed correspondence. Also, study showed some terminologies were not applicable for correspondence which were mostly a unique body part concept of Korean medicine which requires further study to present Korean Medicine knowledge accurately in the language of ICD.

• 대한한의학방제학회지
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• 제20권1호
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• pp.67-80
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• 2012

Objectives : We investigated the effects of Ingecheonggeumdan(ICD) on body weight and examined whether blood lipid levels and visceral fat are inhibited by it in high fat diet-fed obese male mice. Methods : 8 weeks old, high fat diet-fed obese male mice were divided into 6 groups: C57BL/6N normal, control, ICD-1(150mg/kg), ICD-2(300mg/kg), ICD-3(600mg/kg) and orlistat(10mg/kg). After mice were treated with ICD and orlistat for 8 weeks, we measured body weight gain, food intake, feeding efficiency ratio, fat weight, plasma leptin and lipid levels. We also performed histological analysis for liver and fat on the mice. Results : Compared with controls, ICD and orlistat-treated mice had lower body weight gain and adipose tissue weight, the magnitudes of which were prominent in ICD-3. Compared with controls, ICD and orlistat-treated mice had lower blood leptin levels, the magnitude of which was prominent in ICD-3. Compared with controls, ICD and orlistat-treated mice had higher blood HDL-cholesterol and lower blood plasma LDL-cholesterol, free fatty acid and triglyceride levels, the magnitudes of which were prominent in ICD-3. Blood plasma AST and ALT concentrations were not changed by ICD and orlistat, indicating ICD and orlistat do not show any toxic effects. Consistent with their effects on body weight gain, the size of adipocytes and hepatic lipid accumulation were significantly decreased by ICD and orlistat. Conclusions : These results demonstrate that ICD and orlistat effectively reduce body weight gain, blood plasma LDL-cholesterol, free fatty acid and triglyceride levels and improves abdominal fat, the magnitudes of which were prominent in ICD-3.

• Clinical and Experimental Pediatrics
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• 제64권2호
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• pp.80-85
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• 2021

Background: Although identifying cases in large administrative databases may aid future research studies, previous reports demonstrated that the use of the International Classification of Diseases, Tenth Revision (ICD-10) code alone for diagnosis leads to disease misclassification. Purpose: We aimed to assess the value of the ICD-10 diagnostic code for identifying potential children with biliary atresia. Methods: Patients aged <18 years assigned the ICD-10 code of biliary atresia (Q44.2) between January 1996 and December 2016 at a quaternary care teaching hospital were identified. We also reviewed patients with other diagnoses of code-defined cirrhosis to identify more potential cases of biliary atresia. A proposed diagnostic algorithm was used to define ICD-10 code accuracy, sensitivity, and specificity. Results: We reviewed the medical records of 155 patients with ICD-10 code Q44.2 and 69 patients with other codes for biliary cirrhosis (K74.4, K74.5, K74.6). The accuracy for identifying definite/probable/possible biliary atresia cases was 80%, while the sensitivity was 88% (95% confidence interval [CI], 82%-93%). Three independent predictors were associated with algorithm-defined definite/probable/possible cases of biliary atresia: ICD-10 code Q44.2 (odds ratio [OR], 2.90; 95% CI, 1.09-7.71), history of pale stool (OR, 2.78; 95% CI, 1.18-6.60), and a presumed diagnosis of biliary atresia prior to referral to our hospital (OR, 17.49; 95% CI, 7.01-43.64). A significant interaction was noted between ICD-10 code Q44.2 and a history of pale stool (P<0.05). The area under the curve was 0.87 (95% CI, 0.84-0.89). Conclusion: ICD-10 code Q44.2 has an acceptable value for diagnosing biliary atresia. Incorporating clinical data improves the case identification. The use of this proposed diagnostic algorithm to examine data from administrative databases may facilitate appropriate health care allocation and aid future research investigations.

• 보험의학회지
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• 제27권1호
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• pp.21-23
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• 2008

The 5th revision of Korean Classification of Diseases(KCD) became effective on January 1, 2008. It has reflected the changes made to the tenth revision of International Classification of Diseases (ICD-10) between 1998 and 2005 and the suggestions of academic and related societies in Korea. Two important alterations seem to have a major implication in the insurance industry. One would be the official introduction of a Korean version of International Classification of Diseases for Oncology, third edition(ICD-O-3). The borderline ovarian tumor is classified as a borderline neoplasm, which was classified as a malignant neoplasm in the previous edition of International Classification of Diseases for Oncology. The other would be the appearance of non-C-code malignant neoplasm for the diseases, such as polycythemia vera, newly classified as a malignant neoplasm by the current edition of International Classification of Diseases for Oncology. The National Office of Statistics(NSO) adopted the way of implementation used in the Australian Modification of International Classification of Diseases(ICD-10-AM), instead of assigning them into corresponding C code. Overall, the changes made in this revision doesn't seem to have a serious impact on the insurance industry since it has only reflected updates made to ICD-10.

• Journal of Trauma and Injury
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• 제22권1호
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• pp.108-115
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• 2009

Purpose: We designed a retrospective study to measure the accuracy of the ICD-10 (International Classification of Disease-10) code for trauma patients. We also analyzed the error of the ICISS (International Classification of Disease based Injury Severity Score) due to a missing or an incorrect ICD-10 code. Methods: For the measuring the accuracy of the ICD-10 code for trauma patients in a tertiary teaching hospital's emergency department, two board certified emergency physician performed a retrospective chart review. The ICD-10 code was classified as a main code or a sub-code. The main code was defined as the code of the main department of treatment, and the sub-code was defined as a code other than the main code. We calculated and compared two ICISS for each patient one by using both the existing code and the other by using a corrected code. We compared the proportions of severe trauma (defined as an ICISS less than 0.9) between when the existing code and the corrected code was used respectively. Results: We reviewed the records of 4287 trauma patients who had been treated from July 2008 to November 2008. The accuracy of the main code, the sub-code of emergency department, main-code, the sub-code of hospitalized patients were 97.1%, 59.8%, 98.2% and 57.0%, respectively. Total accuracy of the main and sub-code of emergency department and of hospitalized patients were 91.4% and 58.6%. The number of severe trauma patients increased from 33 to 49 when the corrected code was used in emergency department and increased from 35 to 60 in hospitalized patients. Conclusion: The accuracy of the sub-code was lower than that of the main code. A missing or incorrect subcode could cause an error in the ICISS and in the number of patients with severe trauma.

• Journal of Acupuncture Research
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• 제32권4호
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• pp.47-68
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• 2015

Objectives : The purpose of this study is to review and propose improvements for the Romanization and English expressions in the WHO international classification of diseases 11th revision beta version (ICD-11b) traditional medicine chapter. Methods : ICD-11b as of October 5, 2015, was reviewed. Romanization and English expressions were analyzed with reference to existing standards such as the Basic Principles of Romanization stipulated by the National Institute of Korean Language, and the Korean Standard Classification of Diseases (KCD), suggested improvements followed. Results : Following the Basic Principles of Romanization, 131 ICD-11b rubrics need improvement in the Romanization of Korean. When compared to KCD-6 comparable rubrics, 161 ICD-11b rubrics are the same and 64 are different. When compared to KCD-7 comparable rubrics, 118 ICD-11b rubrics are the same, and 51 are different. In KCD-6, there are 127 rubrics that do not match with items in ICD-11b. In KCD-7, there are 123 rubrics that do not match with items in ICD-11b. Conclusions : ICD-11b may be improved by correcting the Romanization and consideration of English expressions suggested in this study.

• 보건행정학회지
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• 제11권1호
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• pp.1-18
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• 2001

The purpose of the present study was to assess the agreement of survival probability estimated by International Classification of Diseases l0th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with professional panel's judgment on preventable death. ICISS has a promise as an alternative to Trauma and Injury Severity Score(TRISS) which have served as a standard measure of trauma severity, but requires more validation studies. Furthermore as original version of ICISS was based ICD-9CM, it is necessary to test its performance employing ICD-10 which has been used in Korea and is expected to replace ICD-9 in many countries sooner or later. Methods : For 1997 and 1998 131 trauma deaths and 1,785 blunt trauma inpatients from 6 emergency medical centers were randomly sampled and reviewed. Trauma deaths were reviewed by professional panels with hospital records and survival probability of trauma inpatients was assessed using ICD-10 based ICISS. For trauma mortality degree of agreement between ICISS survival probability with judgment of professional panel on preventable death was assessed and correlation between W-score and preventable death rate by each emergency medical center was assessed. Results : Overall agreement rate of ICISS survival probability with preventable death judged by professional panel was 66.4%(kappa statistic 0.36). Spearman's correlation coefficient between W-score and preventable death rate by each emergency medical center was -0.77(p=0.07) and Pearson's correlation coefficient between them was -0.90(p=0.01). Conclusions : The agreement rate of ICD-10 based ICISS survival probability with of professional panel's judgment on preventable death was similar to TRISS. The W-scores of emergency medical centers derived from ICD-10 based ICISS were highly correlated with preventable death rates of them with marginal statistical significance.