Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

The fifth edition of the WHO classification (2022 WHO) and the International Consensus Classification (2022 ICC) of myeloid neoplasms have been recently published. We reviewed the changes in the diagnosis distribution in patients with MDS with excess blasts (MDS-EB) or AML using both classifications. Forty-seven patients previously diagnosed as having AML or MDS-EB with available mutation analysis data, including targeted next-generation and RNA-sequencing data, were included. We reclassified 15 (31.9%) and 27 (57.4%) patients based on the 2022 WHO and 2022 ICC, respectively. One patient was reclassified as having a translocation categorized as a rare recurring translocation in both classifications. Reclassification was mostly due to the addition of mutation-based diagnostic criteria (i.e., AML, myelodysplasia-related) or a new entity associated with TP53 mutation. In both classifications, MDS diagnosis required the confirmation of multi-hit TP53 alterations. Among 14 patients with TP53 mutations, 11 harbored multi-hit TP53 alterations, including four with TP53 mutations and loss of heterozygosity. Adverse prognosis was associated with multi-hit TP53 alterations (P=0.009) in patients with MDS-EB, emphasizing the importance of detecting the mutations at diagnosis. The implementation of these classifications may lead to the identification of different subtypes from previously heterogeneous diagnostic categories based on genetic characteristics.

A variety of clonal cytogenetic abnormalities have been reported in aggressive natural killer (NK)-cell lymphoma and leukemia. Recent chromosomal microarray studies have shown both gain and loss of 1q and loss of 7p as recurrent abnormalities in aggressive NK-cell leukemia. Here, we report a case of aggressive NK-cell leukemia with complex chromosomal gains and losses, as confirmed by chromosomal microarray analysis. The patient showed an aggressive clinical course, which was complicated by hemophagocytic lymphohistiocytosis. Conventional cytogenetic analysis revealed trisomy 3 and 1q gain only. However, chromosomal microarray analysis detected an additional gain of 1q21.1–q24.2 and a loss of 1q24.2–q31.3. These abnormal lesions might play a role in the pathogenesis of aggressive NK-cell leukemia by inactivating tumor suppressor genes or by activating oncogenes. These results suggest that chromosomal microarray analysis may be used to provide further genetic information for patients with hematological malignancies, including aggressive NK-cell leukemia.
Chromosome Aberrations ; Cytogenetic Analysis ; Genes, Tumor Suppressor ; Hematologic Neoplasms ; Humans ; Leukemia ; Lymphohistiocytosis, Hemophagocytic ; Lymphoma ; Microarray Analysis ; Oncogenes ; Trisomy

BACKGROUND: This study aimed to identify and examine the effects of weight control behaviors correlated with weight loss in obese individuals who attempted to lose weight within the past year. METHODS: In this cross-sectional study, data from 9,461 obese individuals were collected from the fifth and sixth Korean National Health and Nutrition Examination Survey (2010–2014). Three of nine verified methods of weight control suggested in the survey were selected: diet therapy (reduced food intake), exercise therapy (exercise), and medication therapy (prescribed weight loss medications). Participants were divided into one of seven groups (diet therapy alone; exercise therapy alone; drug therapy alone; combined diet and exercise therapy; combined exercise and drug therapy; combined diet and drug therapy; or combined diet, exercise, and drug therapy). Logistic regression analysis was used to determine whether the group that tried to lose weight in the past year had indeed lost weight compared to the group that did not. RESULTS: The odds ratios for weight loss (≥3 but < 6 kg vs. ≥6 but < 10 kg) for the combined therapies were 2.05 (95% confidence interval, 1.23–3.41) for combined diet and exercise therapy and 5.43 (1.74–16.92) for combined diet, exercise, and drug therapy. CONCLUSION: All levels of weight loss were significantly associated with combined diet and exercise therapy. Weight loss ≥6 kg but < 10 kg was significantly associated with combined diet and exercise therapy as well as with combined diet, exercise, and medication therapy among individuals who tried to lose weight in the past year.
Adult* ; Cross-Sectional Studies ; Diet ; Diet Therapy ; Drug Therapy ; Exercise Therapy ; Humans ; Logistic Models ; Nutrition Surveys ; Obesity ; Odds Ratio ; Weight Loss

BACKGROUND: This study aimed to investigate the relationship between marital status and the incidence of metabolic syndrome in Korean middle-aged women. METHODS: Based on data from the sixth Korea National Health and Nutrition Examination Survey (2013–2014), 3,225 women aged 40–69 years were subjected to the analysis. Marital status was categorized as married, unmarried, separated, widowed, or divorced. The odds ratios (ORs) for metabolic syndrome were calculated based on marital status. After adjustment for age, income level, education level, alcohol intake, smoking status, leisure physical activity, menopause status, daily calories, and fat intake, changes in the OR for metabolic syndrome based on marital status were examined by multivariate logistic regression analysis. RESULTS: The OR for metabolic syndrome in the widowed group to the married group was 4.818 (95% confidence interval [CI], 3.861–6.002; P < 0.001) and that after adjustment of age, economic level, education level, alcohol intake, smoking status, physical activity, menopause status, total daily calories, and fat intake was 2.141 (CI, 1.432–3.199; P < 0.001), both of which were statistically significant. The OR for metabolic syndrome in the unmarried group to the married group was 0.246 (CI, 0.141–0.431; P < 0.001) after adjustment of all components. On the contrary, the ORs of the separated group and the divorced group to the married group were not significant. CONCLUSION: In comparison with the married middle-aged group, the widowed middle-aged group tended to have a higher risk of metabolic syndrome, which is speculated to be related to socioeconomic factors and health behavior.
Divorce ; Education ; Female ; Health Behavior ; Humans ; Incidence ; Korea* ; Leisure Activities ; Logistic Models ; Marital Status* ; Menopause ; Middle Aged ; Motor Activity ; Nutrition Surveys* ; Odds Ratio ; Single Person ; Smoke ; Smoking ; Socioeconomic Factors ; Widowhood

BACKGROUND: It is well known that breastfeeding has a significant impact on the health of mothers and children. With the growing importance of breastfeeding, the present study aimed to investigate the relationship between breastfeeding and the prevalence of diabetes in Korean parous women. METHODS: The data of 5,448 premenopausal parous women aged 20–49 years who agreed to participate in the 5th–6th Korea National Health and Nutrition Examination Survey were analyzed in this study. Control group included women who had not breastfed. The subjects who had breastfed were classified into three groups based on the duration of breastfeeding: 0–6 months, 6–12 months, and >12 months. The variables included age, body mass index, education level, income, alcohol drinking, smoking, family history of diabetes, use of oral contraceptives, the number of pregnancies, and regular exercise. RESULTS: Among the subjects, the prevalence of diabetes was significantly lower in women who had breastfed compared to those who had not, with an odds ratio of 0.534 (95% confidence interval [CI], 0.289–0.976) in women who breastfed for 0–6 months and 0.575 (95% CI, 0.321–0.990) in women who breastfed for 6–12 months (both P < 0.05). CONCLUSION: The present study found a reduced prevalence of diabetes in women who had breastfed compared to those who had not. However, no association between the duration of breastfeeding and the prevalence of diabetes could be found.
Alcohol Drinking ; Body Mass Index ; Breast Feeding* ; Child ; Contraceptives, Oral ; Diabetes Mellitus ; Education ; Female ; Humans ; Korea* ; Mothers ; Nutrition Surveys* ; Odds Ratio ; Parity ; Pregnancy ; Prevalence* ; Smoke ; Smoking

OBJECTIVE: Infection is very common in the elderly, so there is a high prevalence of antibiotics use among this population. Especially, due to the emergence of resistant bacteria, the use of vancomycin is growing. The purpose of this study was to evaluate risk factors associated with vancomycin-induced nephrotoxicity in elderly patients. METHODS: The subjects of this study were patients over 18 years old who received intravenous vancomycin in a general hospital located in Gangneung-si, Korea between August 1, 2013 and July 31, 2015. Data collection regarding vancomycin use and baseline characteristics was conducted using computerized hospital database. Logistic regression analysis was used to identify risk factors associated with vancomycin-induced nephrotoxicity. RESULTS: A total of 290 patients were finally included, and 191(66%) out of these patients were age 65 or older. The incidence of vancomycin-induced nephrotoxicity was 11.0%, 12.6%, and 7.0% in the all adult patients, the elderly patients, and the non-elderly patients, respectively. There were significant differences in comorbidities between patients with nephrotoxicity and patients without nephrotoxicity in the all adult patients, and there were significant differences in vancomycin duration, comorbidities, and number of nephrotoxic agents between patients with nephrotoxicity and patients without nephrotoxicity in the elderly patients. However, according to the logistic regression analysis, there was no significant risk factor that increases the incidence of vancomycin-induced nephrotoxicity in all three age groups. CONCLUSION: There were no differences in risk factors that increase the incidence of vancomycin-induced nephrotoxicity between all adult patients, elderly patients, and non-elderly patients. Further studies with larger sample sizes to identify risk factors associated with vancomycin-induced nephrotoxicity in the elderly to improve the outcome of pharmacotherapy are required.
Acute Kidney Injury ; Adult ; Aged* ; Anti-Bacterial Agents ; Bacteria ; Comorbidity ; Data Collection ; Drug Therapy ; Hospitals, General ; Humans ; Incidence ; Korea ; Logistic Models ; Prevalence ; Risk Factors* ; Sample Size ; Vancomycin