• Journal of Preventive Medicine and Public Health
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• v.32 no.4
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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.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.3
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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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• v.16 no.2
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• pp.192-198
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• 2005

Objectives : This review examines the extent of harmonization between the Diagnostic and Statistical Manual (fourth edition) (DSM-IV) attention deficit hyperactivity disorder (ADHD) and International Classification of Diseases (tenth edition) (ICD-10) hyperkinetic disorder (HKD). Methods : PubMed review of the clinical literatures from 1980 to March 2005 was undertaken using the search term of ADHD, HKD, DSM, ICD, diagnostic criteria, algorithm, and validity. Results : There continues to be a substantial difference in the prevalence of ADHD and HKD. Based on the limited studies that directly compare the most recent two algorithms of ADHD and HKD, several implications for clinical practice and research are discussed. Conclusion : To understand further if the criteria for DSM-IV and ICD-10 for ADHD and HKD are converged or not, more researches on the validity of ADHD and HKD subtypes should be undertaken.

• Herbal Formula Science
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• v.30 no.3
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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.

• Herbal Formula Science
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• v.20 no.1
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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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• v.64 no.2
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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.

• The Journal of the Korean life insurance medical association
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• v.27 no.1
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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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• v.22 no.1
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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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• v.32 no.4
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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.

• Health Policy and Management
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• v.11 no.1
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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.