Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Purpose: There is a high possibility of trauma patients being referred to an unsuitable medical institution for their rehabilitation treatment since the decision is made by them. This study sought to develop a standardized scale to evaluate the need for specialized rehabilitation in patients with multiple traumas and evaluate the effectiveness of the developed scale. Methods: This study employed a systematic review of existing literature to inform the development of a specialized rehabilitation evaluation scale. An expert panel consisting of trauma surgeons, orthopedic surgeons, and rehabilitation medicine physicians collaborated to create a discharge-planning checklist by assessing the need for specialized rehabilitation. The checklist was validated using retrospective data from trauma patients treated at Seoul National University Hospital. Results: We identified 12 studies, providing factors influencing the discharge location and rehabilitation needs of trauma patients. The checklist was developed through expert consensus and comprised 3 criteria: discharge feasibility to specialized rehabilitation facilities, diagnostic eligibility for specialized rehabilitation, and functional assessment. Validation of the checklist demonstrated that the percentage agreement, likelihood ratio of a positive test, and Cohen’s kappa value were 82.1%, 5.21, and 0.375, respectively when comparing whether the checklist was met and the actual discharge location, indicating its effectiveness. Conclusion This study established standardized criteria for assessing the need for specialized rehabilitation in trauma patients, offering a practical tool for clinical use. Implementation of this assessment scale has the potential to improve the trajectory of trauma survivors by facilitating access to appropriate rehabilitation services.

Purpose: There is a high possibility of trauma patients being referred to an unsuitable medical institution for their rehabilitation treatment since the decision is made by them. This study sought to develop a standardized scale to evaluate the need for specialized rehabilitation in patients with multiple traumas and evaluate the effectiveness of the developed scale. Methods: This study employed a systematic review of existing literature to inform the development of a specialized rehabilitation evaluation scale. An expert panel consisting of trauma surgeons, orthopedic surgeons, and rehabilitation medicine physicians collaborated to create a discharge-planning checklist by assessing the need for specialized rehabilitation. The checklist was validated using retrospective data from trauma patients treated at Seoul National University Hospital. Results: We identified 12 studies, providing factors influencing the discharge location and rehabilitation needs of trauma patients. The checklist was developed through expert consensus and comprised 3 criteria: discharge feasibility to specialized rehabilitation facilities, diagnostic eligibility for specialized rehabilitation, and functional assessment. Validation of the checklist demonstrated that the percentage agreement, likelihood ratio of a positive test, and Cohen’s kappa value were 82.1%, 5.21, and 0.375, respectively when comparing whether the checklist was met and the actual discharge location, indicating its effectiveness. Conclusion This study established standardized criteria for assessing the need for specialized rehabilitation in trauma patients, offering a practical tool for clinical use. Implementation of this assessment scale has the potential to improve the trajectory of trauma survivors by facilitating access to appropriate rehabilitation services.

Purpose: There is a high possibility of trauma patients being referred to an unsuitable medical institution for their rehabilitation treatment since the decision is made by them. This study sought to develop a standardized scale to evaluate the need for specialized rehabilitation in patients with multiple traumas and evaluate the effectiveness of the developed scale. Methods: This study employed a systematic review of existing literature to inform the development of a specialized rehabilitation evaluation scale. An expert panel consisting of trauma surgeons, orthopedic surgeons, and rehabilitation medicine physicians collaborated to create a discharge-planning checklist by assessing the need for specialized rehabilitation. The checklist was validated using retrospective data from trauma patients treated at Seoul National University Hospital. Results: We identified 12 studies, providing factors influencing the discharge location and rehabilitation needs of trauma patients. The checklist was developed through expert consensus and comprised 3 criteria: discharge feasibility to specialized rehabilitation facilities, diagnostic eligibility for specialized rehabilitation, and functional assessment. Validation of the checklist demonstrated that the percentage agreement, likelihood ratio of a positive test, and Cohen’s kappa value were 82.1%, 5.21, and 0.375, respectively when comparing whether the checklist was met and the actual discharge location, indicating its effectiveness. Conclusion This study established standardized criteria for assessing the need for specialized rehabilitation in trauma patients, offering a practical tool for clinical use. Implementation of this assessment scale has the potential to improve the trajectory of trauma survivors by facilitating access to appropriate rehabilitation services.

Purpose: This study attempted to analyze the staffing level and critical care nursing fees of intensive care units at tertiary and general hospitals and to provide a professional judgment-based recommendation on staffing level and critical care nursing fee schedules. Methods: Staffing grades and critical care nursing fee schedules for the first quarter of 2017~2020 and the fourth quarter of 2020~2022 were analyzed. A survey was conducted on nursing managers and nurses about the current and appropriate staffing levels. A total of 77 nurse managers and 708 nurses working in Intensive Care Unit(ICU)s at tertiary and general hospitals participated in the study. Results: Grade 1 staffing increased from 25.6% in 2017 to 92.1% in 2022 at tertiary hospitals and from 0.8% in 2017 to 28.4% in 2022 at general hospitals. The current staffing ratios of tertiary and general hospitals were 1:2.21 and 1:2.77, respectively. The appropriate staffing ratio according to nurse managers and nurses was 1:1.00 in patients with more than a ventilator application and 1:2.00 in patients without any ventilator application in tertiary hospitals, and it was 1:1.25 in patients with more than a ventilator application and 1:2.00 in patients without any ventilator application in general hospitals, respectively. Conclusion The appropriate staffing level was suggested from 1:1.0 to 1:2.0. The new nursing fee schedules were suggested from 1:1.0 (Grade 1) to 1:3.0 (Grade 5) and recommended to be paid based on the staffing grade, minimum number of nurses, and standard annual working days. It is expected to increase staffing levels and provide a better nursing work environment.

The initial instance of isolated unilateral temporalis muscle hypertrophy (IUTMH) was reported in 1990. Since then, only few cases have been documented. The cause of this condition remains ambiguous; however, it is presumed to be linked to compensatory and stress-induced hypertrophy. We introduce a rare case of the diagnosis and treatment of IUTMH. A 39-year-old woman presented with a steadily enlarging pain-free swelling on the left side of her face, first noticed a month ago. Apart from a hyperthyroidism medication regimen her medical history was unremarkable. She had no history of temporomandibular joint disease, bruxism, surgery, or trauma. However, she complained of having been under substantial stress lately. Contrast-enhanced magnetic resonance imaging revealed asymmetric temporalis muscle hypertrophy. The treatment plan consisted of administering type A botulinum toxin injections into left temporalis muscle, supplemented by lifestyle changes and relaxation techniques. At a follow-up visit 9 months after the injections, the muscle contour was normalized both in physical and in radiologic examinations. While further supportive evidence is needed, it can be anticipated that cosmetic treatment with botulinum toxin, rather than surgical interventions, will become the standard treatment of IUTMH.