Purpose: This study aimed to explore the work experiences of physician assistant (dedicated nurses in Korea) during the medical service gap caused by physician–government conflicts. Methods: A qualitative design employing individual in-depth interviews was used. Data were collected from July 18 to August 13, 2025. Fifteen nurses who worked as physician assistant 5 during the healthcare service gap participated in the study. Participants were categorized as follows: (1) nurses in the role before the period of healthcare disruption, (2) those who voluntarily applied after the period of healthcare disruption, and (3) those involuntarily assigned during the period of healthcare disruption. Data were analyzed using conventional content analysis. Results: Three categories with six subcategories were identified: (1) reconstructing inner experience within an expanded role (unprepared responsibility and burden, inner fulfillment discovered through continuity of care); (2) reconfiguring relationships from a boundary position (feeling distant as “the same yet different” nurses, expansion of mutual understanding in a crisis context); and (3) precarious positioning within an unestablished system (uncertain standing after residents’ return, episodic implementation of non-standardized training). Conclusion This study showed that physician assistant who filled residents’ gaps in an incomplete system experienced heavier role burdens, blurred job identity, unequal conditions, and unstable affiliation, while some also found renewed meaning and fulfillment through continuity of care and closer collaboration. With structured education, clearly defined scopes of practice after residents’ return, and stable legal and organizational support, these nurses can function as more than temporary substitutes and help sustain continuity and quality of patient care.

Kimura’s disease is a rare, chronic inflammatory disorder that typically presents as painless head and neck masses in young Asian males, often accompanied by peripheral eosinophilia and elevated IgE levels. We report a case of recurrent Kimura’s disease involving the right parotid gland in a 35-year-old man, previously treated surgically. Due to tumor size (6 cm) and high risk of surgical complications, the patient underwent radiotherapy (30 Gy/15 fractions). Post-treatment imaging showed significant tumor reduction with no adverse effects or recurrence during 12 months of follow-up. While surgery remains the mainstay of treatment, recent studies suggest that radiotherapy or immunosuppressive therapy may be effective, especially in cases at high risk of recurrence. A recent meta-analysis identified tumor size ≥3 cm, prolonged disease duration (5 years), high eosinophil percentage (20%), and elevated IgE (10,000 IU/ml) as significant recurrence predictors. This case supports that radiotherapy may sere as a valuable treatment option when surgery in contraindicated or in high-risk recurrent cases.

Kimura’s disease is a rare, chronic inflammatory disorder that typically presents as painless head and neck masses in young Asian males, often accompanied by peripheral eosinophilia and elevated IgE levels. We report a case of recurrent Kimura’s disease involving the right parotid gland in a 35-year-old man, previously treated surgically. Due to tumor size (6 cm) and high risk of surgical complications, the patient underwent radiotherapy (30 Gy/15 fractions). Post-treatment imaging showed significant tumor reduction with no adverse effects or recurrence during 12 months of follow-up. While surgery remains the mainstay of treatment, recent studies suggest that radiotherapy or immunosuppressive therapy may be effective, especially in cases at high risk of recurrence. A recent meta-analysis identified tumor size ≥3 cm, prolonged disease duration (5 years), high eosinophil percentage (20%), and elevated IgE (10,000 IU/ml) as significant recurrence predictors. This case supports that radiotherapy may sere as a valuable treatment option when surgery in contraindicated or in high-risk recurrent cases.

Kimura’s disease is a rare, chronic inflammatory disorder that typically presents as painless head and neck masses in young Asian males, often accompanied by peripheral eosinophilia and elevated IgE levels. We report a case of recurrent Kimura’s disease involving the right parotid gland in a 35-year-old man, previously treated surgically. Due to tumor size (6 cm) and high risk of surgical complications, the patient underwent radiotherapy (30 Gy/15 fractions). Post-treatment imaging showed significant tumor reduction with no adverse effects or recurrence during 12 months of follow-up. While surgery remains the mainstay of treatment, recent studies suggest that radiotherapy or immunosuppressive therapy may be effective, especially in cases at high risk of recurrence. A recent meta-analysis identified tumor size ≥3 cm, prolonged disease duration (5 years), high eosinophil percentage (20%), and elevated IgE (10,000 IU/ml) as significant recurrence predictors. This case supports that radiotherapy may sere as a valuable treatment option when surgery in contraindicated or in high-risk recurrent cases.

Background: Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its realworld usage. Methods: We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS], Injury Severity Score [ISS]), 2) extended International Classification of Diseases-based Injury Severity Score (ICISS) 1 (age, sex, original RTS, ICISS using international SRRs), 3) extended ICISS 2 (age, sex, original RTS, ICISS using Korean SRRs based on 4-digit diagnosis codes), 4) extended ICISS 3 (age, sex, original RTS, ICISS using Korean SRRs based on full-digit diagnosis codes), 5) extended ICISS 4 (age, sex, modified RTS, and ICISS using Korean SRRs based on 4-digit diagnosis codes), 6) extended ICISS 5 (age, sex, modified RTS, and ICISS using Korean SRRs based on full-digit diagnosis codes). We estimated the model using training datasets and fitted it to the validation datasets. We measured the area under the receiver operating characteristic curve (AUC) for discriminative ability. Overall performance was also evaluated using the Brier score. Results: We observed the feasibility of the extended ICISS models, though their performance was slightly lower than the TRISS model (training cohort, AUC 0.936–0.938 vs. 0.949).Regarding SRR calculation methods, we did not find statistically significant differences.The alternative use of the Alert, Voice, Pain, Unresponsive Scale instead of the Glasgow Coma Scale in the RTS calculation did not degrade model performance. Conclusion The availability of the practical ICISS model was observed based on the model performance. We expect our ICISS model to contribute to strengthening the Korean Trauma Care System by utilizing mortality prediction and severity classification.

Kimura’s disease is a rare, chronic inflammatory disorder that typically presents as painless head and neck masses in young Asian males, often accompanied by peripheral eosinophilia and elevated IgE levels. We report a case of recurrent Kimura’s disease involving the right parotid gland in a 35-year-old man, previously treated surgically. Due to tumor size (6 cm) and high risk of surgical complications, the patient underwent radiotherapy (30 Gy/15 fractions). Post-treatment imaging showed significant tumor reduction with no adverse effects or recurrence during 12 months of follow-up. While surgery remains the mainstay of treatment, recent studies suggest that radiotherapy or immunosuppressive therapy may be effective, especially in cases at high risk of recurrence. A recent meta-analysis identified tumor size ≥3 cm, prolonged disease duration (5 years), high eosinophil percentage (20%), and elevated IgE (10,000 IU/ml) as significant recurrence predictors. This case supports that radiotherapy may sere as a valuable treatment option when surgery in contraindicated or in high-risk recurrent cases.

Background: Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its realworld usage. Methods: We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS], Injury Severity Score [ISS]), 2) extended International Classification of Diseases-based Injury Severity Score (ICISS) 1 (age, sex, original RTS, ICISS using international SRRs), 3) extended ICISS 2 (age, sex, original RTS, ICISS using Korean SRRs based on 4-digit diagnosis codes), 4) extended ICISS 3 (age, sex, original RTS, ICISS using Korean SRRs based on full-digit diagnosis codes), 5) extended ICISS 4 (age, sex, modified RTS, and ICISS using Korean SRRs based on 4-digit diagnosis codes), 6) extended ICISS 5 (age, sex, modified RTS, and ICISS using Korean SRRs based on full-digit diagnosis codes). We estimated the model using training datasets and fitted it to the validation datasets. We measured the area under the receiver operating characteristic curve (AUC) for discriminative ability. Overall performance was also evaluated using the Brier score. Results: We observed the feasibility of the extended ICISS models, though their performance was slightly lower than the TRISS model (training cohort, AUC 0.936–0.938 vs. 0.949).Regarding SRR calculation methods, we did not find statistically significant differences.The alternative use of the Alert, Voice, Pain, Unresponsive Scale instead of the Glasgow Coma Scale in the RTS calculation did not degrade model performance. Conclusion The availability of the practical ICISS model was observed based on the model performance. We expect our ICISS model to contribute to strengthening the Korean Trauma Care System by utilizing mortality prediction and severity classification.

Background: Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its realworld usage. Methods: We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS], Injury Severity Score [ISS]), 2) extended International Classification of Diseases-based Injury Severity Score (ICISS) 1 (age, sex, original RTS, ICISS using international SRRs), 3) extended ICISS 2 (age, sex, original RTS, ICISS using Korean SRRs based on 4-digit diagnosis codes), 4) extended ICISS 3 (age, sex, original RTS, ICISS using Korean SRRs based on full-digit diagnosis codes), 5) extended ICISS 4 (age, sex, modified RTS, and ICISS using Korean SRRs based on 4-digit diagnosis codes), 6) extended ICISS 5 (age, sex, modified RTS, and ICISS using Korean SRRs based on full-digit diagnosis codes). We estimated the model using training datasets and fitted it to the validation datasets. We measured the area under the receiver operating characteristic curve (AUC) for discriminative ability. Overall performance was also evaluated using the Brier score. Results: We observed the feasibility of the extended ICISS models, though their performance was slightly lower than the TRISS model (training cohort, AUC 0.936–0.938 vs. 0.949).Regarding SRR calculation methods, we did not find statistically significant differences.The alternative use of the Alert, Voice, Pain, Unresponsive Scale instead of the Glasgow Coma Scale in the RTS calculation did not degrade model performance. Conclusion The availability of the practical ICISS model was observed based on the model performance. We expect our ICISS model to contribute to strengthening the Korean Trauma Care System by utilizing mortality prediction and severity classification.

Background: Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its realworld usage. Methods: We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS], Injury Severity Score [ISS]), 2) extended International Classification of Diseases-based Injury Severity Score (ICISS) 1 (age, sex, original RTS, ICISS using international SRRs), 3) extended ICISS 2 (age, sex, original RTS, ICISS using Korean SRRs based on 4-digit diagnosis codes), 4) extended ICISS 3 (age, sex, original RTS, ICISS using Korean SRRs based on full-digit diagnosis codes), 5) extended ICISS 4 (age, sex, modified RTS, and ICISS using Korean SRRs based on 4-digit diagnosis codes), 6) extended ICISS 5 (age, sex, modified RTS, and ICISS using Korean SRRs based on full-digit diagnosis codes). We estimated the model using training datasets and fitted it to the validation datasets. We measured the area under the receiver operating characteristic curve (AUC) for discriminative ability. Overall performance was also evaluated using the Brier score. Results: We observed the feasibility of the extended ICISS models, though their performance was slightly lower than the TRISS model (training cohort, AUC 0.936–0.938 vs. 0.949).Regarding SRR calculation methods, we did not find statistically significant differences.The alternative use of the Alert, Voice, Pain, Unresponsive Scale instead of the Glasgow Coma Scale in the RTS calculation did not degrade model performance. Conclusion The availability of the practical ICISS model was observed based on the model performance. We expect our ICISS model to contribute to strengthening the Korean Trauma Care System by utilizing mortality prediction and severity classification.

Constipation is a common gastrointestinal disorder and is often accompanied by alteration in the gut microbiota. Recently, several studies have disclosed its association with an increased risk of cardiovascular disease and mortality in the general population. Despite the high prevalence of constipation, data on the clinical impact of constipation in patients with chronic kidney disease are limited. We aimed to explore the prevalence of constipation and its association with cardiovascular disease in chronic kidney disease using a nationally representative cohort of hemodialysis patients. Methods: This study used hemodialysis quality assessment and health insurance claims data from patients undergoing maintenance hemodialysis in South Korea. Chronic constipation was defined using the total number of laxatives prescribed during the 1-year baseline period. The primary outcome was a composite of acute ischemic stroke, hemorrhagic stroke, myocardial infarction, or all-cause death. Secondary outcomes were the individual components of the primary outcome. Results: Among 35,230 patients on hemodialysis, 9,133 (25.9%) were identified as having constipation. During a median follow-up of 5.4 years, patients with constipation had a 15% higher incidence of the composite outcome, 16% higher incidence of ischemic stroke, and 14% higher all-cause mortality, after multivariate adjustment. Conclusion: Chronic constipation requiring laxatives was associated with a higher risk of the composite outcome of cardiovascular events or all-cause death in patients on hemodialysis. Further studies are needed to confirm whether constipation is an independent predictor or a possible causal factor of cardiovascular disease.