1.Recurrence Dynamics of Pathological N2 Non–Small Cell Lung Cancer Based on IASLC Residual Tumor Descriptor
In Ha KIM ; Geun Dong LEE ; Sehoon CHOI ; Hyeong Ryul KIM ; Yong-Hee KIM ; Dong Kwan KIM ; Seung-Il PARK ; Jae Kwang YUN
Cancer Research and Treatment 2025;57(1):105-115
Purpose:
This study investigated the recurrence patterns and timing in patients with pathologic N2 (pN2) non-small cell lung cancer (NSCLC) according to the residual tumor (R) descriptor proposed by the International Association for the Study of Lung Cancer (IASLC).
Materials and Methods:
From 2004 to 2021, patients with pN2 NSCLC who underwent anatomical resection were analyzed according to the IASLC R criteria using medical records from a single center. Survival analysis was performed using Cox proportional hazards models. Recurrence patterns between complete (R0) and uncertain resections (R[un]) were compared.
Results:
In total, 1,373 patients were enrolled in this study: 576 (42.0%) in R0, 286 (20.8%) in R(un), and 511 (37.2%) in R1/R2 according to the IASLC R criteria. The most common reason for R(un) classification was positivity for the highest lymph node (88.8%). In multivariable analysis, the hazard ratios for recurrence in R(un) and R1/R2 compared to R0 were 1.18 (95% confidence interval [CI], 0.96–1.46) and 1.58 (1.31–1.90), respectively. The hazard rate curves displayed similar patterns among groups, peaking at approximately 12 months after surgery. There was a significant difference in distant recurrence patterns between R0 and R(un). Further analysis after stratification with the IASLC N2 descriptor showed significant differences in distant recurrence patterns between R0 and R(un) in patients pN2a1 and pN2a2 disease, but not in those with pN2b disease.
Conclusion
The IASLC R criteria has prognostic relevance in patients with pN2 NSCLC. R(un) is a highly heterogeneous group, and the involvement of the highest mediastinal lymph node can affect distant recurrence patterns.
2.Recurrence Dynamics of Pathological N2 Non–Small Cell Lung Cancer Based on IASLC Residual Tumor Descriptor
In Ha KIM ; Geun Dong LEE ; Sehoon CHOI ; Hyeong Ryul KIM ; Yong-Hee KIM ; Dong Kwan KIM ; Seung-Il PARK ; Jae Kwang YUN
Cancer Research and Treatment 2025;57(1):105-115
Purpose:
This study investigated the recurrence patterns and timing in patients with pathologic N2 (pN2) non-small cell lung cancer (NSCLC) according to the residual tumor (R) descriptor proposed by the International Association for the Study of Lung Cancer (IASLC).
Materials and Methods:
From 2004 to 2021, patients with pN2 NSCLC who underwent anatomical resection were analyzed according to the IASLC R criteria using medical records from a single center. Survival analysis was performed using Cox proportional hazards models. Recurrence patterns between complete (R0) and uncertain resections (R[un]) were compared.
Results:
In total, 1,373 patients were enrolled in this study: 576 (42.0%) in R0, 286 (20.8%) in R(un), and 511 (37.2%) in R1/R2 according to the IASLC R criteria. The most common reason for R(un) classification was positivity for the highest lymph node (88.8%). In multivariable analysis, the hazard ratios for recurrence in R(un) and R1/R2 compared to R0 were 1.18 (95% confidence interval [CI], 0.96–1.46) and 1.58 (1.31–1.90), respectively. The hazard rate curves displayed similar patterns among groups, peaking at approximately 12 months after surgery. There was a significant difference in distant recurrence patterns between R0 and R(un). Further analysis after stratification with the IASLC N2 descriptor showed significant differences in distant recurrence patterns between R0 and R(un) in patients pN2a1 and pN2a2 disease, but not in those with pN2b disease.
Conclusion
The IASLC R criteria has prognostic relevance in patients with pN2 NSCLC. R(un) is a highly heterogeneous group, and the involvement of the highest mediastinal lymph node can affect distant recurrence patterns.
3.Recurrence Dynamics of Pathological N2 Non–Small Cell Lung Cancer Based on IASLC Residual Tumor Descriptor
In Ha KIM ; Geun Dong LEE ; Sehoon CHOI ; Hyeong Ryul KIM ; Yong-Hee KIM ; Dong Kwan KIM ; Seung-Il PARK ; Jae Kwang YUN
Cancer Research and Treatment 2025;57(1):105-115
Purpose:
This study investigated the recurrence patterns and timing in patients with pathologic N2 (pN2) non-small cell lung cancer (NSCLC) according to the residual tumor (R) descriptor proposed by the International Association for the Study of Lung Cancer (IASLC).
Materials and Methods:
From 2004 to 2021, patients with pN2 NSCLC who underwent anatomical resection were analyzed according to the IASLC R criteria using medical records from a single center. Survival analysis was performed using Cox proportional hazards models. Recurrence patterns between complete (R0) and uncertain resections (R[un]) were compared.
Results:
In total, 1,373 patients were enrolled in this study: 576 (42.0%) in R0, 286 (20.8%) in R(un), and 511 (37.2%) in R1/R2 according to the IASLC R criteria. The most common reason for R(un) classification was positivity for the highest lymph node (88.8%). In multivariable analysis, the hazard ratios for recurrence in R(un) and R1/R2 compared to R0 were 1.18 (95% confidence interval [CI], 0.96–1.46) and 1.58 (1.31–1.90), respectively. The hazard rate curves displayed similar patterns among groups, peaking at approximately 12 months after surgery. There was a significant difference in distant recurrence patterns between R0 and R(un). Further analysis after stratification with the IASLC N2 descriptor showed significant differences in distant recurrence patterns between R0 and R(un) in patients pN2a1 and pN2a2 disease, but not in those with pN2b disease.
Conclusion
The IASLC R criteria has prognostic relevance in patients with pN2 NSCLC. R(un) is a highly heterogeneous group, and the involvement of the highest mediastinal lymph node can affect distant recurrence patterns.
4.Prediction of Mid-term Platelet Transfusion in Stable Trauma Patients Using Rotational Thromboelastometry
Ha Jin LIM ; Hyunseok JANG ; Naa LEE ; Euisung JEONG ; Yunchul PARK ; Younggoun JO ; Jungchul KIM ; Young Eun LEE ; Hyun-Jung CHOI ; Seung-Jung KEE ; Jong Hee SHIN ; Myung Geun SHIN
Annals of Laboratory Medicine 2024;44(1):74-81
Background:
Rotational thromboelastometry (ROTEM; TEM International GmbH, Munich, Germany) is a global coagulation test that guides evidence-based platelet transfusion in trauma patients. We evaluated ROTEM parameters for predicting mid-term (five days) platelet transfusion in trauma patients.
Methods:
Maximum clot firmness and clot amplitudes after 5, 10, and 15 mins (A5, A10, and A15, respectively) of fibrin-specific ROTEM (FIBTEM) and extrinsically activated ROTEM (EXTEM) were retrospectively collected from 82 hospitalized, stable, non-bleeding trauma patients after successful initial resuscitation. Platelet-specific ROTEM (PLTEM) was calculated by subtracting FIBTEM from EXTEM. Platelet transfusions were reviewed for five days after ROTEM.
Results:
The areas under the curve for FIBTEM, EXTEM, and PLTEM predicting platelet concentrate transfusion of > 12 U at mid-term were 0.915–0.923, 0.878–0.896, and 0.551–0.735, respectively. FIBTEM and EXTEM parameters were comparable to those of fibrinogen, fibrin/fibrinogen degradation products, D-dimer, and antithrombin III. Strong correlations (r > 0.7) were noted between platelet count and EXTEM (A5, A10, and A15) or PLTEM (A5), platelet function (per platelet count) and EXTEM (A10 and A15), and fibrinogen levels and all FIBTEM parameters.
Conclusions
FIBTEM and EXTEM can reliably predict mid-term platelet transfusion in trauma patients. FIBTEM, EXTEM, and PLTEM parameters correlate with conventional coagulation tests (platelets and fibrinogen).
5.Effects of Hospital-Based Case Management on Relapse Prevention and Functioning in Patients with Severe Mental Illness
Sang-Geun PONG ; Kyungmin KIM ; Bo-Hyun YOON ; Young-Hwa SEA ; Suhee PARK ; Jye-Heon SONG ; Ha-Ran JUNG ; Yuran JEONG ; Hyunju YUN ; Jaegil JO ; Hangoeunbi KANG
Mood and Emotion 2024;22(3):87-93
Background:
This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness.
Methods:
A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions.
Results:
The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001).
Conclusion
Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.
6.Effects of Hospital-Based Case Management on Relapse Prevention and Functioning in Patients with Severe Mental Illness
Sang-Geun PONG ; Kyungmin KIM ; Bo-Hyun YOON ; Young-Hwa SEA ; Suhee PARK ; Jye-Heon SONG ; Ha-Ran JUNG ; Yuran JEONG ; Hyunju YUN ; Jaegil JO ; Hangoeunbi KANG
Mood and Emotion 2024;22(3):87-93
Background:
This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness.
Methods:
A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions.
Results:
The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001).
Conclusion
Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.
7.Effects of Hospital-Based Case Management on Relapse Prevention and Functioning in Patients with Severe Mental Illness
Sang-Geun PONG ; Kyungmin KIM ; Bo-Hyun YOON ; Young-Hwa SEA ; Suhee PARK ; Jye-Heon SONG ; Ha-Ran JUNG ; Yuran JEONG ; Hyunju YUN ; Jaegil JO ; Hangoeunbi KANG
Mood and Emotion 2024;22(3):87-93
Background:
This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness.
Methods:
A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions.
Results:
The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001).
Conclusion
Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.
8.Effects of Hospital-Based Case Management on Relapse Prevention and Functioning in Patients with Severe Mental Illness
Sang-Geun PONG ; Kyungmin KIM ; Bo-Hyun YOON ; Young-Hwa SEA ; Suhee PARK ; Jye-Heon SONG ; Ha-Ran JUNG ; Yuran JEONG ; Hyunju YUN ; Jaegil JO ; Hangoeunbi KANG
Mood and Emotion 2024;22(3):87-93
Background:
This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness.
Methods:
A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions.
Results:
The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001).
Conclusion
Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.
9.Effects of Hospital-Based Case Management on Relapse Prevention and Functioning in Patients with Severe Mental Illness
Sang-Geun PONG ; Kyungmin KIM ; Bo-Hyun YOON ; Young-Hwa SEA ; Suhee PARK ; Jye-Heon SONG ; Ha-Ran JUNG ; Yuran JEONG ; Hyunju YUN ; Jaegil JO ; Hangoeunbi KANG
Mood and Emotion 2024;22(3):87-93
Background:
This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness.
Methods:
A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions.
Results:
The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001).
Conclusion
Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.
10.Clinical significance and outcomes of adult living donor liver transplantation for acute liver failure: a retrospective cohort study based on 15-year single-center experience
Geun-hyeok YANG ; Young-In YOON ; Shin HWANG ; Ki-Hun KIM ; Chul-Soo AHN ; Deok-Bog MOON ; Tae-Yong HA ; Gi-Won SONG ; Dong-Hwan JUNG ; Gil-Chun PARK ; Sung-Gyu LEE
Annals of Surgical Treatment and Research 2024;107(3):167-177
Purpose:
This study aimed to describe adult living donor liver transplantation (LDLT) for acute liver failure and evaluate its clinical significance by comparing its surgical and survival outcomes with those of deceased donor liver transplantation (DDLT).
Methods:
We retrospectively reviewed the medical records of 267 consecutive patients (161 LDLT recipients and 106 DDLT recipients) aged 18 years or older who underwent liver transplantation between January 2006 and December 2020.
Results:
The mean periods from hepatic encephalopathy to liver transplantation were 5.85 days and 8.35 days for LDLT and DDLT, respectively (P = 0.091). Among these patients, 121 (45.3%) had grade III or IV hepatic encephalopathy (living, 34.8% vs. deceased, 61.3%; P < 0.001), and 38 (14.2%) had brain edema (living, 16.1% vs. deceased, 11.3%; P = 0.269) before liver transplantation. There were no significant differences in in-hospital mortality (living, 11.8% vs. deceased, 15.1%; P = 0.435), 10-year overall survival (living, 90.8% vs. deceased, 84.0%; P = 0.096), and graft survival (living, 83.5% vs. deceased, 71.3%;P = 0.051). However, postoperatively, the mean intensive care unit stay was shorter in the LDLT group (5.0 days vs. 9.5 days, P < 0.001). In-hospital mortality was associated with vasopressor use (odds ratio [OR], 3.40; 95% confidence interval [CI], 1.45–7.96; P = 0.005) and brain edema (OR, 2.75; 95% CI, 1.16–6.52; P = 0.022) of recipient at the time of transplantation. However, LDLT (OR, 1.26; 95% CI, 0.59–2.66; P = 0.553) was not independently associated with in-hospital mortality.
Conclusion
LDLT is feasible for acute liver failure when organs from deceased donors are not available.

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