Objectives: The standard first-line treatment for Helicobacter pylori infection typically involves proton pump inhibitors, amoxicillin, and clarithromycin (PAC), yet the eradication success rates are not entirely satisfactory. Recognizing bismuth’s antibacterial properties and its potential to enhance antibiotic efficacy, this study compared the eradication success rates of a 7-day course of PAC with bismuth (PACB) versus PAC alone in patients with clarithromycin-susceptible H. pylori infections. Methods: We conducted a retrospective review at Eunpyeong St. Mary’s Hospital involving 499 patients with confirmed clarithromycin-susceptible H. pylori infection. These patients were treated either with PACB or PAC for 7 days. Clarithromycin resistance-associated point mutations were evaluated using reverse transcriptase polymerase chain reaction. Successful eradication was confirmed by a negative 13C-urea breath test. Results: Of the patients, 261 received PACB therapy, and 238 received PAC therapy. The intention-to-treat analysis showed eradication success rates of 82.8% (216/261) for PACB and 89.1% (212/238) for PAC (p=0.093). The per-protocol analysis revealed eradication rates of 85.3% (215/252) for PACB and 90.5% (210/232) for PAC (p=0.081). The incidence of adverse effects was similar between the two groups, with 41.3% (104/252) in the PACB group and 34.1% (79/232) in the PAC group (p=0.102). Conclusions Adding bismuth to the standard 7-day PAC regimen did not significantly increase eradication rates in patients with clarithromycin-susceptible H. pylori infections compared to PAC alone.

Objectives: The standard first-line treatment for Helicobacter pylori infection typically involves proton pump inhibitors, amoxicillin, and clarithromycin (PAC), yet the eradication success rates are not entirely satisfactory. Recognizing bismuth’s antibacterial properties and its potential to enhance antibiotic efficacy, this study compared the eradication success rates of a 7-day course of PAC with bismuth (PACB) versus PAC alone in patients with clarithromycin-susceptible H. pylori infections. Methods: We conducted a retrospective review at Eunpyeong St. Mary’s Hospital involving 499 patients with confirmed clarithromycin-susceptible H. pylori infection. These patients were treated either with PACB or PAC for 7 days. Clarithromycin resistance-associated point mutations were evaluated using reverse transcriptase polymerase chain reaction. Successful eradication was confirmed by a negative 13C-urea breath test. Results: Of the patients, 261 received PACB therapy, and 238 received PAC therapy. The intention-to-treat analysis showed eradication success rates of 82.8% (216/261) for PACB and 89.1% (212/238) for PAC (p=0.093). The per-protocol analysis revealed eradication rates of 85.3% (215/252) for PACB and 90.5% (210/232) for PAC (p=0.081). The incidence of adverse effects was similar between the two groups, with 41.3% (104/252) in the PACB group and 34.1% (79/232) in the PAC group (p=0.102). Conclusions Adding bismuth to the standard 7-day PAC regimen did not significantly increase eradication rates in patients with clarithromycin-susceptible H. pylori infections compared to PAC alone.

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: The standard first-line treatment for Helicobacter pylori infection typically involves proton pump inhibitors, amoxicillin, and clarithromycin (PAC), yet the eradication success rates are not entirely satisfactory. Recognizing bismuth’s antibacterial properties and its potential to enhance antibiotic efficacy, this study compared the eradication success rates of a 7-day course of PAC with bismuth (PACB) versus PAC alone in patients with clarithromycin-susceptible H. pylori infections. Methods: We conducted a retrospective review at Eunpyeong St. Mary’s Hospital involving 499 patients with confirmed clarithromycin-susceptible H. pylori infection. These patients were treated either with PACB or PAC for 7 days. Clarithromycin resistance-associated point mutations were evaluated using reverse transcriptase polymerase chain reaction. Successful eradication was confirmed by a negative 13C-urea breath test. Results: Of the patients, 261 received PACB therapy, and 238 received PAC therapy. The intention-to-treat analysis showed eradication success rates of 82.8% (216/261) for PACB and 89.1% (212/238) for PAC (p=0.093). The per-protocol analysis revealed eradication rates of 85.3% (215/252) for PACB and 90.5% (210/232) for PAC (p=0.081). The incidence of adverse effects was similar between the two groups, with 41.3% (104/252) in the PACB group and 34.1% (79/232) in the PAC group (p=0.102). Conclusions Adding bismuth to the standard 7-day PAC regimen did not significantly increase eradication rates in patients with clarithromycin-susceptible H. pylori infections compared to PAC alone.

Objectives: The standard first-line treatment for Helicobacter pylori infection typically involves proton pump inhibitors, amoxicillin, and clarithromycin (PAC), yet the eradication success rates are not entirely satisfactory. Recognizing bismuth’s antibacterial properties and its potential to enhance antibiotic efficacy, this study compared the eradication success rates of a 7-day course of PAC with bismuth (PACB) versus PAC alone in patients with clarithromycin-susceptible H. pylori infections. Methods: We conducted a retrospective review at Eunpyeong St. Mary’s Hospital involving 499 patients with confirmed clarithromycin-susceptible H. pylori infection. These patients were treated either with PACB or PAC for 7 days. Clarithromycin resistance-associated point mutations were evaluated using reverse transcriptase polymerase chain reaction. Successful eradication was confirmed by a negative 13C-urea breath test. Results: Of the patients, 261 received PACB therapy, and 238 received PAC therapy. The intention-to-treat analysis showed eradication success rates of 82.8% (216/261) for PACB and 89.1% (212/238) for PAC (p=0.093). The per-protocol analysis revealed eradication rates of 85.3% (215/252) for PACB and 90.5% (210/232) for PAC (p=0.081). The incidence of adverse effects was similar between the two groups, with 41.3% (104/252) in the PACB group and 34.1% (79/232) in the PAC group (p=0.102). Conclusions Adding bismuth to the standard 7-day PAC regimen did not significantly increase eradication rates in patients with clarithromycin-susceptible H. pylori infections compared to PAC alone.

Objectives: The standard first-line treatment for Helicobacter pylori infection typically involves proton pump inhibitors, amoxicillin, and clarithromycin (PAC), yet the eradication success rates are not entirely satisfactory. Recognizing bismuth’s antibacterial properties and its potential to enhance antibiotic efficacy, this study compared the eradication success rates of a 7-day course of PAC with bismuth (PACB) versus PAC alone in patients with clarithromycin-susceptible H. pylori infections. Methods: We conducted a retrospective review at Eunpyeong St. Mary’s Hospital involving 499 patients with confirmed clarithromycin-susceptible H. pylori infection. These patients were treated either with PACB or PAC for 7 days. Clarithromycin resistance-associated point mutations were evaluated using reverse transcriptase polymerase chain reaction. Successful eradication was confirmed by a negative 13C-urea breath test. Results: Of the patients, 261 received PACB therapy, and 238 received PAC therapy. The intention-to-treat analysis showed eradication success rates of 82.8% (216/261) for PACB and 89.1% (212/238) for PAC (p=0.093). The per-protocol analysis revealed eradication rates of 85.3% (215/252) for PACB and 90.5% (210/232) for PAC (p=0.081). The incidence of adverse effects was similar between the two groups, with 41.3% (104/252) in the PACB group and 34.1% (79/232) in the PAC group (p=0.102). Conclusions Adding bismuth to the standard 7-day PAC regimen did not significantly increase eradication rates in patients with clarithromycin-susceptible H. pylori infections compared to PAC alone.

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.

Postmortem computed tomography (PMCT) is used in forensic medicine worldwide due to its ability to non-invasively visualize injuries, hemorrhage, and estimate volume. In the autopsy of infants, assessing nutritional conditions such as weight is crucial for identifying neglect. This study aims to evaluate the usefulness of retrospectively estimating the weight of Korean infants using PMCT-based volume and multiplication factors, even when the body has been cremated. A total of 44 cases of infant death (under 12 months) were analyzed. PMCT images were obtained before autopsy. Autopsy records and documentation provided by the police at the time of autopsy were reviewed to determine the weight (g) of the infant. PMCT-based infant volumes (mL) were estimated using a three-dimensional semi-automatic segmentation method. Multiplication factors (g/mL) were calculated by dividing the weight recorded at autopsy by the PMCT-based volume, yielding a mean of 1.047 g/mL, ranging from 1.014 g/mL to 1.085 g/mL. The mean absolute error compared to weights recorded at autopsy was 95 g. Significant discrepancies were observed between weights recorded at the scene or medical center and those measured at autopsy. This study demonstrates that PMCT-based weight estimation for Korean infants is a reliable method and has the potential for retrospectively validating incorrect weight measurements and addressing inconsistencies in recorded weight data.