Objectives: This study investigated the relationship between exposure to endocrine-disrupting chemicals (EDCs), specifically phthalates, bisphenol A, bisphenol F, and bisphenol S, and the severity of attention-deficit/hyperactivity disorder (ADHD) symptoms using neuropsychological tests in children diagnosed with ADHD. Methods: This study included 67 medication-naïve children with ADHD aged 6–16 years. The urinary concentrations of EDCs were measured, and ADHD symptom severity was evaluated using neuropsychological tests and clinical symptom scale measurements. The Jonckheere–Terpstra test, Pearson and Spearman correlation analyses, linear regression models, and multiple regression models were used to examine the relationship between EDC exposure and ADHD symptoms. Results: A significant correlation was observed between urinary phthalate metabolite concentrations and commission error T-scores in the visual Advanced Test of Attention test. No significant associations were found with other neuropsychological indicators or bisphenol levels. Conclusion Phthalate exposure affects impulsivity in children with ADHD, which is consistent with the results of previous studies that used parental surveys. However, bisphenols are not clearly associated with ADHD symptoms, which is consistent with the results of previous studies.

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.

Objectives: This study investigated the relationship between exposure to endocrine-disrupting chemicals (EDCs), specifically phthalates, bisphenol A, bisphenol F, and bisphenol S, and the severity of attention-deficit/hyperactivity disorder (ADHD) symptoms using neuropsychological tests in children diagnosed with ADHD. Methods: This study included 67 medication-naïve children with ADHD aged 6–16 years. The urinary concentrations of EDCs were measured, and ADHD symptom severity was evaluated using neuropsychological tests and clinical symptom scale measurements. The Jonckheere–Terpstra test, Pearson and Spearman correlation analyses, linear regression models, and multiple regression models were used to examine the relationship between EDC exposure and ADHD symptoms. Results: A significant correlation was observed between urinary phthalate metabolite concentrations and commission error T-scores in the visual Advanced Test of Attention test. No significant associations were found with other neuropsychological indicators or bisphenol levels. Conclusion Phthalate exposure affects impulsivity in children with ADHD, which is consistent with the results of previous studies that used parental surveys. However, bisphenols are not clearly associated with ADHD symptoms, which is consistent with the results of previous studies.

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.

Objectives: This study investigated the relationship between exposure to endocrine-disrupting chemicals (EDCs), specifically phthalates, bisphenol A, bisphenol F, and bisphenol S, and the severity of attention-deficit/hyperactivity disorder (ADHD) symptoms using neuropsychological tests in children diagnosed with ADHD. Methods: This study included 67 medication-naïve children with ADHD aged 6–16 years. The urinary concentrations of EDCs were measured, and ADHD symptom severity was evaluated using neuropsychological tests and clinical symptom scale measurements. The Jonckheere–Terpstra test, Pearson and Spearman correlation analyses, linear regression models, and multiple regression models were used to examine the relationship between EDC exposure and ADHD symptoms. Results: A significant correlation was observed between urinary phthalate metabolite concentrations and commission error T-scores in the visual Advanced Test of Attention test. No significant associations were found with other neuropsychological indicators or bisphenol levels. Conclusion Phthalate exposure affects impulsivity in children with ADHD, which is consistent with the results of previous studies that used parental surveys. However, bisphenols are not clearly associated with ADHD symptoms, which is consistent with the results of previous studies.

Background and Objectives: Adductor spasmodic dysphonia (ADSD) is a disease in which symptoms such as voice break, strained voice, and voice tremor occur during vocalization due to abnormal spasms of the adductor muscles of the vocal cords. In this study, we aimed to confirm the clinical effectiveness of recently developed Korean items for the differential diagnosis of ADSD and muscle tension dysphonia (MTD).Materials and Method Twenty patients who were diagnosed with ADSD and improved with treatment were set as the ADSD group, 7 patients diagnosed with MTD and received voice therapy as the MTD group, and 7 normal patients without voice disorders were set as the control group, and the medical records and voice test results were compared and analyzed. Recently developed Korean questions were read by the patient, and the degree of voice tremor, strained voice was evaluated. In addition, the recorded voice was analyzed with a spectrogram. Results: A statistically significant difference between the two patient groups was confirmed in the auditory perceptual evaluation of voiced sentences and phrases, tense voiceless sentences and phrases of Korean items. Spectrogram analysis revealed that voice breaks were more frequent in the ADSD group during voiced sentences, and wide-spaced vertical striations were more prominent in the ADSD group during voiced sentences, phrases, and tense voiceless phrases. Conclusion It was confirmed that Korean items for the differential diagnosis of ADSD are useful in identifying speech task specificities in ADSD patients through spectrogram analysis as well as auditory perceptual evaluation.

Background: Ablative oncologic procedures for colorectal or gynecologic malignancies can result in large skin or tissue volume defects. Although direct closure may be possible, such attempts can lead to postoperative complications such as wound breakdown, organ prolapse, chronic seroma, or infection. Various procedures, from flap surgery to local wound care, can be useful additions to improve patient outcomes. Methods: This study retrospectively reviews cases of patients with multiple comorbidities who had undergone concomitant interventions after pelvic ablative surgery. Various interventions after pelvic ablative surgery, from reconstructing the defect to managing postoperative complications, are described. Results: Careful planning and selection of the reconstruction method can significantly improve patient outcomes. The authors suggest using gluteal flaps for most reconstructive demands. Conclusion This case series emphasizes the utility of using various flaps, especially the gluteal flap, in reconstructing oncologic defects in the pelvic and perineal regions. The insights gained from this study will hopefully be of assistance to future research and clinical practice, ultimately improving patient outcomes.

Background and Objectives: Adductor spasmodic dysphonia (ADSD) is a disease in which symptoms such as voice break, strained voice, and voice tremor occur during vocalization due to abnormal spasms of the adductor muscles of the vocal cords. In this study, we aimed to confirm the clinical effectiveness of recently developed Korean items for the differential diagnosis of ADSD and muscle tension dysphonia (MTD).Materials and Method Twenty patients who were diagnosed with ADSD and improved with treatment were set as the ADSD group, 7 patients diagnosed with MTD and received voice therapy as the MTD group, and 7 normal patients without voice disorders were set as the control group, and the medical records and voice test results were compared and analyzed. Recently developed Korean questions were read by the patient, and the degree of voice tremor, strained voice was evaluated. In addition, the recorded voice was analyzed with a spectrogram. Results: A statistically significant difference between the two patient groups was confirmed in the auditory perceptual evaluation of voiced sentences and phrases, tense voiceless sentences and phrases of Korean items. Spectrogram analysis revealed that voice breaks were more frequent in the ADSD group during voiced sentences, and wide-spaced vertical striations were more prominent in the ADSD group during voiced sentences, phrases, and tense voiceless phrases. Conclusion It was confirmed that Korean items for the differential diagnosis of ADSD are useful in identifying speech task specificities in ADSD patients through spectrogram analysis as well as auditory perceptual evaluation.