Purpose: Nutritional support for adult critically ill patients is essential due to the high risk of malnutrition, which can lead to severe complications. This paper aims to develop evidence-based guidelines to optimize nutritional support in intensive care units (ICUs). Methods: The Grading Recommendations, Assessment, Development and Evaluation process was used to develop and summarize the evidence on which the recommendations were based. Clinical outcomes were assessed for seven key questions. Results: We recommend the following: (1) initiate enteral nutrition (EN) within 48 hours after treatment as it is associated with improved outcomes, including reduced infection rates and shorter ICU stays; (2) early EN is preferred over early parenteral nutrition due to better clinical outcomes; (3) the use of supplementary parenteral nutrition to meet energy targets during the first week of ICU admission in patients receiving early EN is conditionally recommended based on patient-specific needs; (4) limited caloric support should be supplied to prevent overfeeding and related complications, particularly in the early phase of critical illness; (5) higher protein intake is suggested to improve clinical outcomes, such as muscle preservation and overall recovery; (6) additional enteral or parenteral glutamine is conditionally recommended against due to the lack of significant benefit and potential harm; and (7) fish oil-containing lipid emulsions is conditionally recommended due to their potential to enhance clinical outcomes, including reduced infection rates and shorter ICU stays. Conclusion These evidence-based recommendations can improve clinical outcomes and support healthcare providers in making informed decisions about nutritional interventions in the ICU.

Purpose: Nutritional support for adult critically ill patients is essential due to the high risk of malnutrition, which can lead to severe complications. This paper aims to develop evidence-based guidelines to optimize nutritional support in intensive care units (ICUs). Methods: The Grading Recommendations, Assessment, Development and Evaluation process was used to develop and summarize the evidence on which the recommendations were based. Clinical outcomes were assessed for seven key questions. Results: We recommend the following: (1) initiate enteral nutrition (EN) within 48 hours after treatment as it is associated with improved outcomes, including reduced infection rates and shorter ICU stays; (2) early EN is preferred over early parenteral nutrition due to better clinical outcomes; (3) the use of supplementary parenteral nutrition to meet energy targets during the first week of ICU admission in patients receiving early EN is conditionally recommended based on patient-specific needs; (4) limited caloric support should be supplied to prevent overfeeding and related complications, particularly in the early phase of critical illness; (5) higher protein intake is suggested to improve clinical outcomes, such as muscle preservation and overall recovery; (6) additional enteral or parenteral glutamine is conditionally recommended against due to the lack of significant benefit and potential harm; and (7) fish oil-containing lipid emulsions is conditionally recommended due to their potential to enhance clinical outcomes, including reduced infection rates and shorter ICU stays. Conclusion These evidence-based recommendations can improve clinical outcomes and support healthcare providers in making informed decisions about nutritional interventions in the ICU.

Purpose: Nutritional support for adult critically ill patients is essential due to the high risk of malnutrition, which can lead to severe complications. This paper aims to develop evidence-based guidelines to optimize nutritional support in intensive care units (ICUs). Methods: The Grading Recommendations, Assessment, Development and Evaluation process was used to develop and summarize the evidence on which the recommendations were based. Clinical outcomes were assessed for seven key questions. Results: We recommend the following: (1) initiate enteral nutrition (EN) within 48 hours after treatment as it is associated with improved outcomes, including reduced infection rates and shorter ICU stays; (2) early EN is preferred over early parenteral nutrition due to better clinical outcomes; (3) the use of supplementary parenteral nutrition to meet energy targets during the first week of ICU admission in patients receiving early EN is conditionally recommended based on patient-specific needs; (4) limited caloric support should be supplied to prevent overfeeding and related complications, particularly in the early phase of critical illness; (5) higher protein intake is suggested to improve clinical outcomes, such as muscle preservation and overall recovery; (6) additional enteral or parenteral glutamine is conditionally recommended against due to the lack of significant benefit and potential harm; and (7) fish oil-containing lipid emulsions is conditionally recommended due to their potential to enhance clinical outcomes, including reduced infection rates and shorter ICU stays. Conclusion These evidence-based recommendations can improve clinical outcomes and support healthcare providers in making informed decisions about nutritional interventions in the ICU.

Purpose: Nutritional support for adult critically ill patients is essential due to the high risk of malnutrition, which can lead to severe complications. This paper aims to develop evidence-based guidelines to optimize nutritional support in intensive care units (ICUs). Methods: The Grading Recommendations, Assessment, Development and Evaluation process was used to develop and summarize the evidence on which the recommendations were based. Clinical outcomes were assessed for seven key questions. Results: We recommend the following: (1) initiate enteral nutrition (EN) within 48 hours after treatment as it is associated with improved outcomes, including reduced infection rates and shorter ICU stays; (2) early EN is preferred over early parenteral nutrition due to better clinical outcomes; (3) the use of supplementary parenteral nutrition to meet energy targets during the first week of ICU admission in patients receiving early EN is conditionally recommended based on patient-specific needs; (4) limited caloric support should be supplied to prevent overfeeding and related complications, particularly in the early phase of critical illness; (5) higher protein intake is suggested to improve clinical outcomes, such as muscle preservation and overall recovery; (6) additional enteral or parenteral glutamine is conditionally recommended against due to the lack of significant benefit and potential harm; and (7) fish oil-containing lipid emulsions is conditionally recommended due to their potential to enhance clinical outcomes, including reduced infection rates and shorter ICU stays. Conclusion These evidence-based recommendations can improve clinical outcomes and support healthcare providers in making informed decisions about nutritional interventions in the ICU.

Purpose: Nutritional support for adult critically ill patients is essential due to the high risk of malnutrition, which can lead to severe complications. This paper aims to develop evidence-based guidelines to optimize nutritional support in intensive care units (ICUs). Methods: The Grading Recommendations, Assessment, Development and Evaluation process was used to develop and summarize the evidence on which the recommendations were based. Clinical outcomes were assessed for seven key questions. Results: We recommend the following: (1) initiate enteral nutrition (EN) within 48 hours after treatment as it is associated with improved outcomes, including reduced infection rates and shorter ICU stays; (2) early EN is preferred over early parenteral nutrition due to better clinical outcomes; (3) the use of supplementary parenteral nutrition to meet energy targets during the first week of ICU admission in patients receiving early EN is conditionally recommended based on patient-specific needs; (4) limited caloric support should be supplied to prevent overfeeding and related complications, particularly in the early phase of critical illness; (5) higher protein intake is suggested to improve clinical outcomes, such as muscle preservation and overall recovery; (6) additional enteral or parenteral glutamine is conditionally recommended against due to the lack of significant benefit and potential harm; and (7) fish oil-containing lipid emulsions is conditionally recommended due to their potential to enhance clinical outcomes, including reduced infection rates and shorter ICU stays. Conclusion These evidence-based recommendations can improve clinical outcomes and support healthcare providers in making informed decisions about nutritional interventions in the ICU.

Background: Prostate-specific antigen-based routine screening is not recommended for the general population due to conflicting results with mortality reduction. We aimed to develop a web-based decision aid (DA) for informed decision making for prostate cancer screening. Methods: Using the International Patient Decision Aid Standards (IPDAS) development process model, we developed our DA based on patient and clinician interviews and multidisciplinary expert discussions. The prototype consisted of predicting individual prostate cancer risk and informed decision-making, including knowledge, risk and benefit, cost, personal value, and decision making. We conducted a pilot study on 101 healthy men, evaluating the effectiveness of DA by measuring knowledge, attitude, and intention to screen before and after using the DA, as well as decisional conflict and usefulness after using the DA. Results: Of the 101 participants (median age 60 [50–69] years), 84% had not undergone screening for prostate cancer in the past two years. After using the DA, knowledge on prostate cancer screening increased (mean score [of 10] before versus after: 6.85 ± 1.03 versus 7.57 ± 1.25; P < 0.001), and intention to not screen increased from 27.7% to 51.5% (P < 0.001), but attitude toward screening did not change (P = 0.564). After use of the DA, 79 participants reported no decisional conflict, and the usefulness score was high (mean score [of 100] 77.35 ± 7.69), with 85% of participants reporting that the DA helped with decision making. Conclusion Our web-based DA yielded increased knowledge, decreased screening intention, and high perceived usefulness. These findings indicate potential clinical relevance, especially among younger individuals.

Purpose: Breast cancer brain metastases (BCBM) may involve subtypes that differ from the primary breast cancer lesion. This study aimed to develop a radiomics-based model that utilizes preoperative brain MRI for multiclass classification of BCBM subtypes and to investigate whether the model offers better prediction accuracy than the assumption that primary lesions and their BCBMs would be of the same subtype (non-conversion model) in an external validation set. Materials and Methods: The training and external validation sets each comprised 51 cases (102 cases total). Four machine learning classifiers combined with three feature selection methods were trained on radiomic features and primary lesion subtypes for prediction of the following four subtypes: 1) hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, 2) HR+/HER2+, 3) HR-/HER2+, and 4) triple-negative. After training, the performance of the radiomics-based model was compared to that of the non-conversion model in an external validation set using accuracy and F1-macro scores. Results: The rate of discrepant subtypes between primary lesions and their respective BCBMs were 25.5% (n=13 of 51) in the training set and 23.5% (n=12 of 51) in the external validation set. In the external validation set, the accuracy and F1-macro score of the radiomics-based model were significantly higher than those of the non-conversion model (0.902 vs. 0.765, p=0.004; 0.861 vs. 0.699, p=0.002). Conclusion Our radiomics-based model represents an incremental advance in the classification of BCBM subtypes, thereby facilitating a more appropriate personalized therapy.

Background/Aims: This study evaluated the long-term cardiovascular complications among Korean patients with hypertension and compared them with that of controls without hypertension. Methods: The Korean Hypertension Cohort (KHC) enrolled 11,043 patients with hypertension and followed them for more than 10 years. Age- and sex-matched controls without hypertension were enrolled at a 1:10 ratio. We compared the incidence of cardiovascular events and death among patients and controls without hypertension. Results: The mean age was 59 years, and 34.8% and 16.5% of the patients belonged to the high and moderate cardiovascular risk groups, respectively. During the 10-year follow-up, 1,591 cardiovascular events (14.4%) with 588 deaths (5.3%) occurred among patients with hypertension and 7,635 cardiovascular events (6.9%) with 4,826 deaths (4.4%) occurred among controls. Even the low-risk population with hypertension showed a higher cardiovascular event rate than the population without hypertension. Although blood pressure measurements in the clinic showed remarkable inaccuracy compared with those measured in the national health examinations, systolic blood pressure (SBP) ≥ 150 mmHg was significantly associated with a higher risk of cardiovascular events. Conclusions This long-term follow-up study confirmed the cardiovascular event rates among Korean hypertensive patients were substantial, reaching 15% in 10 years. SBP levels ≥ 150 mmHg were highly associated with occurrence of cardiovascular event rates.

Purpose: Based on the logic that self-oriented perfectionism (SOP) is one of the most well-established predictors of academic procrastination (AP), we predicted that fear of failure (FF) would mediate the association between SOP and AP. The purpose of this study is to investigate the mediating effect of FF on the influence of SOP on AP in medical students. Methods: A total of 156 undergraduate medical students completed a battery of questionnaires. This study is an analysis of cross-sectional data obtained through an offline survey. The self-report questionnaires assessed demographics and psychological scales, including the Multidimensional Perfectionism Scale, Performance Failure Appraisal Inventory, and Aitken Procrastination Inventory. The data were analyzed by descriptive statistics, correlations analysis, and multiple regression analyses using IBM SPSS ver. 22.0 (IBM Corp., Armonk, USA). Results: SOP had a direct negative influence on AP (β=-0.420, p<0.001). Also, SOP had a significant indirect effect on AP through FF (β=0.0393; 95% confidence interval, 0.040–0.0936). These results indicated that the FF partially mediates the relationship between SOP and AP. Conclusion Although SOP among medical students might play an adaptive role to lessen AP, in cases FF gets higher, SOP could have opposing effects via the mediating effect of FF, leading to an actual increase in AP. Attempts to deal with the FF among medical students should be made for better academic achievements.