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.

Objectives: This study was conducted to evaluate burnout and its associated factors among coronavirus disease 2019 (COVID-19) frontline healthcare workers. Methods: We analyzed the nationwide burnout evaluation scale data collected from 774 COVID-19 frontline healthcare workers in South Korea from July 1 to 14, 2021. Along with demographic variables and work-related information, the Maslach Burnout Inventory–General Survey and the list of stress factors were used to assess burnout and its associated stressors. Results: The study participants were predominantly female (86.2%) and the majority were nurses (78.8%). Among them, 53.0% felt emotionally exhausted, 34.5% were cynical, and 45.5% experienced decreased professional efficacy. The most common stressors were “insufficient rewards” (85.0%) and “excessive workload” (72.5%). Factors such as excessive workload, interpersonal relationships at work, and stress from insufficient rewards were correlated with higher levels of exhaustion and increased cynicism. Insufficient rewards and stress about family infection were associated with increased professional efficacy. Conclusion Stress related to the work environment, rather than that from potential infection, was associated with exhaustion and cynicism in the COVID-19 frontline healthcare workers.

Objectives: This study was conducted to identify the level of mental health and burnout of medical staff at hospitals and public health centers, which responded to the coronavirus disease 2019 (COVID-19) in South Korea and to suggest appropriate management plans. Methods: The mental health and burnout levels of medical staff responding to COVID-19 were evaluated through an online survey conducted during the period July 1–14, 2021. To analyze the mental health status of the participants according to their demographic characteristics, the chisquare test, t-test, and an analysis of variance were conducted, followed by Scheffe post-hoc tests for pairwise comparisons. Results: A total of 773 participants were included in the study. An analysis of the clinically significant symptoms of the group showed that 29.5% had posttraumatic stress symptoms, 30.6% had depression, 15.8% had anxiety, 39.8% had somatic symptoms, and 4.5% were seen to be at risk of suicide. The average scores for burnout were as follows: 3.55±1.75 for emotional exhaustion, 2.68±1.73 for depersonalization, and 3.89±1.40 for personal accomplishment. Mental health problems and burnout were found to be high in women, those in the 20–39-year age bracket, those with less than 5 years of work experience, and public health center workers. Conclusion The medical staff responding to COVID-19 were observed to experience high levels of mental health and burnout problems. Work-related characteristics, such as younger age, lower work experience, and employment at a public health center, may have a negative impact on mental health and cause burnout. Therefore, individualized and systemic support for mental health and to prevent the burnout of medical staff responding to cases of COVID-19 is needed.

Background/Aims: There are few studies describing contemporary status of mechanical ventilation in Korea. We investigated changes in management and outcome of mechanical ventilation in Korea. Methods: International, prospective observational cohort studies have been conducted every 6 years since 1998. Korean intensive care units (ICUs) participated in 2010 and 2016 cohorts. We compared 2016 and 2010 Korean data. Results: Two hundred and twenty-six patients from 18 ICUs and 275 patients from 12 ICUs enrolled in 2016 and 2010, respectively. In 2016 compared to 2010, use of non-invasive ventilation outside ICU increased (10.2% vs. 2.5%, p = 0.001). Pressure-control ventilation was the most common mode in both groups. Initial tidal volume (7.1 mL/kg vs. 7.4 mL/kg, p = 0.372) and positive end-expiratory pressure (6 cmH2O vs. 6 cmH2O, p = 0.141) were similar, but peak pressure (22 cmH2O vs. 24 cmH2O, p = 0.011) was lower in 2016. More patients received sedatives (70.7% vs. 57.0%, p = 0.002) and analgesics (86.5% vs. 51.1%, p < 0.001) in 2016. The awakening (48.4% vs. 31.0%, p = 0.002) was more frequently attempted in 2016. The accidental extubation rate decreased to one tenth of what it was in 2010 (1.1% vs. 10.2%, p < 0.001). The ICU mortality did not change (31.4% 35.6%, p = 0.343) but ICU length of stay showed a decreasing trend (9 days vs. 10 days, p = 0.054) in 2016. Conclusions There were temporal changes in care of patients on mechanical ventilation including better control of pain and agitation, and active attempt of awakening.

Objectives: This study aimed to propose an efficient mental health service plan to be implemented during epidemics by identifying the mental health characteristics of people who have returned from countries with large-scale coronavirus disease-2019 (COVID-19) outbreaks. Methods: We analyzed the mental health evaluation scale data submitted by 504 quarantined people who had returned from countries hit by the COVID-19 pandemic from January to April 2020 through a government support project. Results: The average age of the study group was 35.6±8.72 years, and males accounted for 67.1% and females 32.9% of the total subjects. The screening score for post-traumatic stress disorder was met by 12.1% of the subjects. Moderate to high level of depression and anxiety symptoms were seen in 10.7% and 7.0%, respectively. Also, 2.2% of the group complained of clinical level somatization symptoms, and 1.4% were evaluated as being at a high risk of suicide. The average scores and the proportion of subjects at high risk on all scales were significantly higher in female than in male. In a comparison by age, the average score of post-traumatic stress symptoms was significantly higher in subjects in their 20s than those in their 50s, and the proportion of the subjects at high risk for post-traumatic stress symptoms also showed a significant variation between age groups. However, there were no significant differences by age with respect to depression, anxiety, somatic symptoms, and suicidal tendencies. Conclusion During an epidemic, the mental health problems of people may increase, and the risk appears to be higher in female and young adults. Therefore, in addition to strong protection policies, a customized support system for each target group is required.

Purpose: To identify the differences in perception of and adherence to the COVID-19 social distancing behavior guidelines among health care workers, patients, and the general public and to use them to prevent the spread of COVID-19. Methods: From October 16 2020 to November 30, 2020, a survey was conducted among 85 health care workers, 85 patients, and 82 general public regarding the perception of and adherence to the COVID-19 social distancing behavior guidelines. Results: Patients scored significantly higher than the general public in the adherence to the COVID-19 social distancing behavior guideline, and there was no difference between health care workers and general public, and patients and health care workers. In the multivariate analysis, the factors that influence the adherence of the COVID-19 social distancing behavior guide were found in women and the perception of the COVID-19 social distancing behavior guideline. Conclusion In order to promote the implementation of the COVID-19 social distancing behavior guideline, it is necessary to increase the perception of the COVID-19 social distancing behavior guideline and provide additional education in men. It is necessary to investigate the reason behind why men have low adherence to the COVID-19 social distancing behavior guideline.

Incidental thyroid nodules are commonly detected on ultrasonography (US). This has contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last 20 years. The appropriate diagnosis and management of these patients is based on the risk factors related to the patients as well as the thyroid nodules. The Korean Society of Thyroid Radiology (KSThR) published consensus recommendations for US-based management of thyroid nodules in 2011 and revised them in 2016. These guidelines have been used as the standard guidelines in Korea. However, recent advances in the diagnosis and management of thyroid nodules have necessitated the revision of the original recommendations. The task force of the KSThR has revised the Korean Thyroid Imaging Reporting and Data System and recommendations for US lexicon, biopsy criteria, US criteria of extrathyroidal extension, optimal thyroid computed tomography protocol, and US follow-up of thyroid nodules before and after biopsy. The biopsy criteria were revised to reduce unnecessary biopsies for benign nodules while maintaining an appropriate sensitivity for the detection of malignant tumors in small (1–2 cm) thyroid nodules. The goal of these recommendations is to provide the optimal scientific evidence and expert opinion consensus regarding US-based diagnosis and management of thyroid nodules.