1.Standardized Medical Terminology: Awareness and Application Among Members of the Korean Society for Laboratory Medicine
Shinae YU ; Byung Ryul JEON ; Changseung LIU ; Dokyun KIM ; Hae-Il PARK ; Hyung Doo PARK ; Jeong Hwan SHIN ; Jun Hyung LEE ; Qute CHOI ; Sollip KIM ; Yeo Min YUN ; Eun-jung CHO ;
Annals of Laboratory Medicine 2025;45(6):635-637
2.Can Reference Materials Prepared Following CLSI C37-A Be Utilized Without Commutability Assessment?Perspectives Based on Lipid Measurements
Jong Do SEO ; Gye Cheol KWON ; Jeong-Ho KIM ; Sang-Guk LEE ; Junghan SONG ; Pil-Whan PARK ; Dongheui AN ; Qute CHOI ; Chan-Ik CHO ; Sollip KIM ; Yeo-Min YUN
Annals of Laboratory Medicine 2025;45(6):562-573
Background:
Ensuring reference material (RM) commutability is crucial for evaluating measurement traceability in order to standardize laboratory tests. However, commutability assessment is not routinely performed. We assessed whether RMs prepared following CLSI C37-A guidelines could be used without assessing commutability by evaluating their commutability for four lipid measurements using the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) and CLSI EP14 protocols.
Methods:
We analyzed total cholesterol (TC), triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in frozen sera from 20 individuals and 11 RMs, prepared by the Korea Disease Control and Prevention AgencyLaboratory Standardization Project (per CLSI C37-A), using six routine measurement procedures (MPs). Regression equations and 95% prediction intervals derived from single-donor sera were analyzed following CLSI EP14. The IFCC protocol was used to assess differences in inter-MP biases between RM and clinical samples. The effect of the TG concentration on commutability was evaluated by analyzing biases between MP results and reference procedure-assigned values.
Results:
RMs were commutable for most MP pairs for TC and TG. Commutability for HDL-C and LDL-C varied across RMs, with RM10 and RM11 showing higher TG levels (2.38 and 2.95 mmol/L, respectively) and lower commutability. Increased bias percentages from assigned values were observed for RMs with higher TG levels.
Conclusions
RMs prepared per CLSI C37-A were commutable with most MP pairs for TC and TG. Elevated TG levels affected HDL-C and LDL-C commutability, highlighting the need to consider TG concentrations during RM preparation and assess commutability to standardize laboratory tests.
3.Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels?
Tae Yong PARK ; Moon Young CHOI ; Doohwan KONG ; Jeong Kyun YEO ; Min Gu PARK
The World Journal of Men's Health 2025;43(1):205-212
Purpose:
Although lower body strength and size are often regarded as symbols of masculinity, their relationship to testosterone is unclear. This study aimed to determine the correlation between lower body strength, size, and testosterone levels.
Materials and Methods:
Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). The circumferences of the thigh and calf were measured, and the muscle strength of the knee joints was evaluated using an isokinetic dynamometer. Patients were classified into three groups according to testosterone levels (group 1, <230 ng/dL; group 2, 230 to 350 ng/dL; group 3, >350 ng/dL). Differences in calf and thigh circumference, bilateral knee extension, and flexion strength between the three groups were investigated using a one-way analysis of variance. Pearson’s chi-square test was used to assess differences in lifestyle habits and underlying diseases. A partial correlation analysis was conducted to determine the association between testosterone levels and lower body size and strength.
Results:
There was no difference in BMI among the three groups, but waist circumference was significantly larger in group 1 than in groups 2 and 3. When comparing weight-adjusted values, bilateral thigh circumference showed a significant difference among the three groups. There was also a significant difference between the three groups in the weight-adjusted left calf circumference and in the weight-adjusted right knee extension strength. The partial correlation test showed a significant positive correlation between thigh and calf circumference values adjusted for weight and serum testosterone levels. Weight-adjusted knee extension strength demonstrated a significant positive correlation with serum testosterone levels.
Conclusions
Weight-adjusted thigh and calf circumferences, along with the thigh-to-waist ratio, showed a positive correlation with testosterone levels. Weight-adjusted knee extension strength was positively correlated with testosterone levels. Therefore, a robust thigh and strong lower body are related to testosterone.
4.Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels?
Tae Yong PARK ; Moon Young CHOI ; Doohwan KONG ; Jeong Kyun YEO ; Min Gu PARK
The World Journal of Men's Health 2025;43(1):205-212
Purpose:
Although lower body strength and size are often regarded as symbols of masculinity, their relationship to testosterone is unclear. This study aimed to determine the correlation between lower body strength, size, and testosterone levels.
Materials and Methods:
Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). The circumferences of the thigh and calf were measured, and the muscle strength of the knee joints was evaluated using an isokinetic dynamometer. Patients were classified into three groups according to testosterone levels (group 1, <230 ng/dL; group 2, 230 to 350 ng/dL; group 3, >350 ng/dL). Differences in calf and thigh circumference, bilateral knee extension, and flexion strength between the three groups were investigated using a one-way analysis of variance. Pearson’s chi-square test was used to assess differences in lifestyle habits and underlying diseases. A partial correlation analysis was conducted to determine the association between testosterone levels and lower body size and strength.
Results:
There was no difference in BMI among the three groups, but waist circumference was significantly larger in group 1 than in groups 2 and 3. When comparing weight-adjusted values, bilateral thigh circumference showed a significant difference among the three groups. There was also a significant difference between the three groups in the weight-adjusted left calf circumference and in the weight-adjusted right knee extension strength. The partial correlation test showed a significant positive correlation between thigh and calf circumference values adjusted for weight and serum testosterone levels. Weight-adjusted knee extension strength demonstrated a significant positive correlation with serum testosterone levels.
Conclusions
Weight-adjusted thigh and calf circumferences, along with the thigh-to-waist ratio, showed a positive correlation with testosterone levels. Weight-adjusted knee extension strength was positively correlated with testosterone levels. Therefore, a robust thigh and strong lower body are related to testosterone.
5.Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels?
Tae Yong PARK ; Moon Young CHOI ; Doohwan KONG ; Jeong Kyun YEO ; Min Gu PARK
The World Journal of Men's Health 2025;43(1):205-212
Purpose:
Although lower body strength and size are often regarded as symbols of masculinity, their relationship to testosterone is unclear. This study aimed to determine the correlation between lower body strength, size, and testosterone levels.
Materials and Methods:
Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). The circumferences of the thigh and calf were measured, and the muscle strength of the knee joints was evaluated using an isokinetic dynamometer. Patients were classified into three groups according to testosterone levels (group 1, <230 ng/dL; group 2, 230 to 350 ng/dL; group 3, >350 ng/dL). Differences in calf and thigh circumference, bilateral knee extension, and flexion strength between the three groups were investigated using a one-way analysis of variance. Pearson’s chi-square test was used to assess differences in lifestyle habits and underlying diseases. A partial correlation analysis was conducted to determine the association between testosterone levels and lower body size and strength.
Results:
There was no difference in BMI among the three groups, but waist circumference was significantly larger in group 1 than in groups 2 and 3. When comparing weight-adjusted values, bilateral thigh circumference showed a significant difference among the three groups. There was also a significant difference between the three groups in the weight-adjusted left calf circumference and in the weight-adjusted right knee extension strength. The partial correlation test showed a significant positive correlation between thigh and calf circumference values adjusted for weight and serum testosterone levels. Weight-adjusted knee extension strength demonstrated a significant positive correlation with serum testosterone levels.
Conclusions
Weight-adjusted thigh and calf circumferences, along with the thigh-to-waist ratio, showed a positive correlation with testosterone levels. Weight-adjusted knee extension strength was positively correlated with testosterone levels. Therefore, a robust thigh and strong lower body are related to testosterone.
6.Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels?
Tae Yong PARK ; Moon Young CHOI ; Doohwan KONG ; Jeong Kyun YEO ; Min Gu PARK
The World Journal of Men's Health 2025;43(1):205-212
Purpose:
Although lower body strength and size are often regarded as symbols of masculinity, their relationship to testosterone is unclear. This study aimed to determine the correlation between lower body strength, size, and testosterone levels.
Materials and Methods:
Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). The circumferences of the thigh and calf were measured, and the muscle strength of the knee joints was evaluated using an isokinetic dynamometer. Patients were classified into three groups according to testosterone levels (group 1, <230 ng/dL; group 2, 230 to 350 ng/dL; group 3, >350 ng/dL). Differences in calf and thigh circumference, bilateral knee extension, and flexion strength between the three groups were investigated using a one-way analysis of variance. Pearson’s chi-square test was used to assess differences in lifestyle habits and underlying diseases. A partial correlation analysis was conducted to determine the association between testosterone levels and lower body size and strength.
Results:
There was no difference in BMI among the three groups, but waist circumference was significantly larger in group 1 than in groups 2 and 3. When comparing weight-adjusted values, bilateral thigh circumference showed a significant difference among the three groups. There was also a significant difference between the three groups in the weight-adjusted left calf circumference and in the weight-adjusted right knee extension strength. The partial correlation test showed a significant positive correlation between thigh and calf circumference values adjusted for weight and serum testosterone levels. Weight-adjusted knee extension strength demonstrated a significant positive correlation with serum testosterone levels.
Conclusions
Weight-adjusted thigh and calf circumferences, along with the thigh-to-waist ratio, showed a positive correlation with testosterone levels. Weight-adjusted knee extension strength was positively correlated with testosterone levels. Therefore, a robust thigh and strong lower body are related to testosterone.
7.Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels?
Tae Yong PARK ; Moon Young CHOI ; Doohwan KONG ; Jeong Kyun YEO ; Min Gu PARK
The World Journal of Men's Health 2025;43(1):205-212
Purpose:
Although lower body strength and size are often regarded as symbols of masculinity, their relationship to testosterone is unclear. This study aimed to determine the correlation between lower body strength, size, and testosterone levels.
Materials and Methods:
Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). The circumferences of the thigh and calf were measured, and the muscle strength of the knee joints was evaluated using an isokinetic dynamometer. Patients were classified into three groups according to testosterone levels (group 1, <230 ng/dL; group 2, 230 to 350 ng/dL; group 3, >350 ng/dL). Differences in calf and thigh circumference, bilateral knee extension, and flexion strength between the three groups were investigated using a one-way analysis of variance. Pearson’s chi-square test was used to assess differences in lifestyle habits and underlying diseases. A partial correlation analysis was conducted to determine the association between testosterone levels and lower body size and strength.
Results:
There was no difference in BMI among the three groups, but waist circumference was significantly larger in group 1 than in groups 2 and 3. When comparing weight-adjusted values, bilateral thigh circumference showed a significant difference among the three groups. There was also a significant difference between the three groups in the weight-adjusted left calf circumference and in the weight-adjusted right knee extension strength. The partial correlation test showed a significant positive correlation between thigh and calf circumference values adjusted for weight and serum testosterone levels. Weight-adjusted knee extension strength demonstrated a significant positive correlation with serum testosterone levels.
Conclusions
Weight-adjusted thigh and calf circumferences, along with the thigh-to-waist ratio, showed a positive correlation with testosterone levels. Weight-adjusted knee extension strength was positively correlated with testosterone levels. Therefore, a robust thigh and strong lower body are related to testosterone.
8.Trigeminal Neuralgia with Autonomic Symptoms: A Case Report
Juwon KIM ; Sangwon YEO ; Min CHANG ; Jeong-Seung KWON ; Hyung-Joon AHN ; Jong-Hoon CHOI ; Younjung PARK
Journal of Oral Medicine and Pain 2024;49(4):148-152
Trigeminal neuralgia (TN), primarily affecting the maxillary nerve and mandibular nerve, manifests as sudden and severe facial pain without autonomic symptoms such as tearing and ptosis. However, rare cases present with such symptoms, which necessitate differentiation from short-lasting unilateral neuralgiform headache attacks with conjunctival injection and tearing (SUNCT)/short-lasting unilateral neuralgiform headache attacks with cranial autonomic symptoms (SUNA), as these disorders share similar pain episodes within the trigeminal sensory territory, often including autonomic manifestations. This study aims to clarify distinguishing features and facilitate accurate diagnosis. We report a 63-year-old female presenting with left upper premolar area pain upon infraorbital, zygoma, and upper lip contact. Her pain history followed re-endodontic and prosthodontic treatment of the left upper second premolar, and examination showed electric-like sensations without spontaneous pain. Treatments included anti-inflammatory medications and occlusal adjustments, which proved ineffective. A tentative diagnosis of TN led to treatment with carbamazepine, oxcarbazepine, and baclofen, noting episodic conjunctival injection and asymmetric tongue sensations during severe attacks. This case, marked by touch-evoked, short-duration pain in the maxillary branch and late-emerging mild autonomic symptoms, responded well to carbamazepine, favoring a TN diagnosis over SUNCT/SUNA. The presence of autonomic symptoms in suspected TN cases necessitates careful reevaluation to distinguish from SUNCT/SUNA, particularly when carbamazepine response is suboptimal. Accurate differentiation is crucial for targeted therapy, as medication efficacy varies significantly between these conditions.
9.Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
Sang Won PARK ; Na Young YEO ; Seonguk KANG ; Taejun HA ; Tae-Hoon KIM ; DooHee LEE ; Dowon KIM ; Seheon CHOI ; Minkyu KIM ; DongHoon LEE ; DoHyeon KIM ; Woo Jin KIM ; Seung-Joon LEE ; Yeon-Jeong HEO ; Da Hye MOON ; Seon-Sook HAN ; Yoon KIM ; Hyun-Soo CHOI ; Dong Kyu OH ; Su Yeon LEE ; MiHyeon PARK ; Chae-Man LIM ; Jeongwon HEO ; On behalf of the Korean Sepsis Alliance (KSA) Investigators
Journal of Korean Medical Science 2024;39(5):e53-
Background:
Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department.
Methods:
This study prospectively collected nationwide data from an ongoing multicenter cohort of patients with sepsis identified in the emergency department. Patients were enrolled from 19 hospitals between September 2019 and December 2020. For acquired data from 3,657 survivors and 1,455 deaths, six ML models (logistic regression, support vector machine, random forest, extreme gradient boosting [XGBoost], light gradient boosting machine, and categorical boosting [CatBoost]) were constructed using fivefold cross-validation to predict mortality. Through these models, 44 clinical variables measured on the day of admission were compared with six sequential organ failure assessment (SOFA) components (PaO 2 /FIO 2 [PF], platelets (PLT), bilirubin, cardiovascular, Glasgow Coma Scale score, and creatinine).The confidence interval (CI) was obtained by performing 10,000 repeated measurements via random sampling of the test dataset. All results were explained and interpreted using Shapley’s additive explanations (SHAP).
Results:
Of the 5,112 participants, CatBoost exhibited the highest area under the curve (AUC) of 0.800 (95% CI, 0.756–0.840) using clinical variables. Using the SOFA components for the same patient, XGBoost exhibited the highest AUC of 0.678 (95% CI, 0.626–0.730). As interpreted by SHAP, albumin, lactate, blood urea nitrogen, and international normalization ratio were determined to significantly affect the results. Additionally, PF and PLTs in the SOFA component significantly influenced the prediction results.
Conclusion
Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.
10.Correlation Analysis between Hypogonadal Symptoms and Changes in Body Composition and Physical Fitness after Testosterone Treatment in Men with Testosterone Deficiency
Tae Yong PARK ; Moon Young CHOI ; Dong Soo KIM ; Jeong Kyun YEO ; Mahadevan RAJASEKARAN ; Min Gu PARK
The World Journal of Men's Health 2024;42(1):178-187
Purpose:
This study analyzed changes in body composition and physical fitness in men with testosterone deficiency (TD) after testosterone treatment (TT) and examined the correlations of body composition and physical fitness with serum testosterone levels and hypogonadal symptoms.
Materials and Methods:
Seventy patients with TD were divided into control (group I, n=23) and experimental (group II, n=47) groups. Patients in the experimental group were administered intramuscular testosterone enanthate (250 mg) for six months. The aging males symptom scale (AMS) score, international prostate symptom score (IPSS), body mass index, waist circumference, and serum laboratory values were measured at baseline and at the end of the study. Bioelectrical impedance analysis was used to assess the patients’ body composition. Seven types of basic exercise tests were used to evaluate the patients’ physical fitness.
Results:
After six months, there were no significant differences in group I, while group II had significantly improved IPSS and AMS scores; increased hemoglobin, hematocrit, prostate-specific antigen, and testosterone levels and skeletal muscle mass; and waist circumference, and body fat mass. All elements of the physical fitness test were significantly improved in group II, with the exceptions of flexibility and endurance. Decreased waist circumference was correlated with changes in testosterone levels in group II, and the IPSS, cardiorespiratory fitness, and agility were correlated with improved hypogonadal symptoms.
Conclusions
TT improved the hypogonadal and lower urinary tract symptoms in patients with TD and improved body composition, physical fitness, and metabolic syndrome parameters. Increased testosterone and improved hypogonadal symptoms were correlated with a decrease in waist circumference and an improvement in cardiorespiratory fitness and agility. As such, when implementing TT, we should consider whether these areas may be improved, as this can help to predict the effect.

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