Background: The tracheal bronchus in Kartagener syndrome is a rare case that may cause difficulty in one-lung ventilation (OLV). Here we reported a case of successful OLV using bronchial blocker in a patient with tracheal bronchus and Kartagener syndrome (KS).Case: A 66-year-old female patient with Kartagener syndrome was admitted for left-side diaphragmatic plication. The patient’s preoperative computed tomography image showed a tracheal bronchus of the apical segment in the right upper lobe. The patient received epidural analgesia and general anesthesia through total intravenous anesthesia. An EZ-Blocker® (Teleflex Life Sciences Ltd., Ireland) was used to perform OLV. Conclusions OLV through an EZ-Blocker® can be successfully performed in tracheal bronchus patients with Kartagener syndrome without side effects.

The authors report a case of newly manifested severe junctional bradycardia following dexmedetomidine administration during spinal anesthesia in a polypharmacy patient. A 77-year-old woman receiving multiple medications, including a beta-blocker and a calcium channel blocker, underwent right total knee arthroplasty. After spinal anesthesia, intravenous dexmedetomidine was initiated as a sedative; her heart rate decreased, followed by junctional bradycardia (heart rate, 37–41 beats/min). Dexmedetomidine was discontinued, and a dopamine infusion was initiated. Seven hours after surgery, junctional bradycardia persisted; a temporary transvenous pacemaker was inserted, and the beta-blocker and calcium channel blocker were discontinued. The patient was discharged on postoperative day 11 without any sequelae. Anesthesiologists should be aware of dexmedetomidine’s inhibitory effects on the cardiac conduction system, especially in geriatric patients taking medications with negative chronotropic effects and in combination with neuraxial anesthesia.

Infections are a major complication in burn patients. In particular, in immunocompromised patients, burn wounds are prone to infections due to destroyed cutaneous barriers and a weakened immune response. It is critical for physicians to monitor infections during burn treatment, since infections can disturb the healing process. It can be challenging to identify the causative microorganism and implement proper treatment for infected burn wounds. Bacterial infections such as impetigo are the most commonly reported, followed by fungal and viral infections. Human herpes virus is one of the most frequent viral infections that complicate burn patients’ recovery. Cases of varicella-zoster virus (HHV-3) infection among pediatric burn patients or reactivation in major burn patients in intensive care units have been reported in the literature. Herein, we present a case where HHV-3 reactivation was promptly detected during the treatment of a facial scald burn.

Objectives: ：This study was designed to investigate the correlation between defense mechanism and posttraumatic stress disorder in burn patients. Methods: ：We recruit 40 burn patients and we evaluate sociodemographic characteristics, characteristics related to burn, korean version of Impact of Event Scale-Revised (IES-R), Korean Version of Center for epidemiologic studies depression scale (CES-D) and Ewha Defense Mechanisms Test (EDMT). Multiple regression analysis was performed to evaluate the correlation between EDMT score and IES-R score. Results: ：Factor 2 of EDMT which consists of Ego-expansion subjects was significantly correlate with IER-S score. In factor 2, Controlling (β=-0.299, p<0.05), Sublimation (β=-0.276, p<0.05) is significantly correlate with IER-S score. Conclusions ：Some subjects of defense mechanism was significantly correlate with IES-R score. it might behelpful to understand defense mechanism for the posttraumatic stress disorder in burn patients.

Purpose: Electric scooters have recently entered into wide use in South Korea because of their eco-friendliness and convenience. Associated accidents resulting in friction burns are also increasing, due to a lack of recognition of the regulations regarding drivable roads and speed limits. We present the clinical characteristics of friction burns induced by electric scooters.M ethods: We retrospectively evaluated the clinical records of 48 patients who visited our institution after accidents involving electric scooters from January 2018 to February 2022. Demographic data, including age, sex, time of the accident, the type and location of the friction burn, and associated injuries, were reviewed. Results: The age of the patients ranged from 15 to 51 years. The most common injuries were superficial partial-thickness dermal burns, while 14 cases involved deep partial-thickness dermal burns. Multifocal injuries were present in a single patient in most cases. The face was the most commonly affected region, followed by the knees. The average treatment period was 13.0 days, but the follow-up period was longer in patients with facial bone fractures or other comorbidities. Conclusion Friction burns from electric scooters are increasing, but their clinical presentation and related statistics have not been reported yet. Since most patients were not injured or had only mild epidermal burns in regions with enough clothing, appropriate safety equipment can prevent burns from electric scooters. However, once accidents occur, patients often present with multiple other injuries in the extremities, so proper injury evaluation and management should be emphasized for shorter hospitalization and optimal outcomes.

Background: Pyruvate dehydrogenase complex (PDHC) deficiency is a rare mitochondrial disorder caused by a genetic mutation affecting the activity of the PDHC enzyme, which plays a major role in the tricarboxylic cycle. Few cases of surgery or anesthesia have been reported. Moreover, there is no recommended anesthetic method.Case: A 24-month-old child with a PDHC deficiency presented to the emergency room with respiratory failure, mental decline, systemic cyanosis, and lactic acidosis. During hospitalization period, the patient presented with pneumothorax, pneumoperitoneum, and multiple air pockets in the heart. Two surgeries were performed under general anesthesia using an inhalational anesthetic agent. The patient was discharged with home ventilation. Conclusions Anesthesiologists should be wary of multiple factors when administering anesthesia to patients with PDHC deficiency, including airway abnormalities, acid-base imbalance, intraoperative fluid management, selection of appropriate anesthetics, and monitoring of lactic acid levels.

Background: The thoracic paravertebral block is an effective analgesic technique for postoperative pain management after breast surgery. The ultrasound-guided retrolaminar block (RLB) is a safer alternative to conventional paravertebral block.Thus, we assessed the analgesic efficacy of ultrasound-guided RLB for postoperative pain management after breast surgery. Methods: Patients requiring breast surgery were randomly allocated to group C (retrolaminar injection with saline) and group R (RLB with local anesthetic mixture).The RLB was performed at the level of T3 with local anesthetic mixture (0.75% ropivacaine 20 mL + 2% lidocaine 10 mL) under general anesthesia before the skin incision. The primary outcome was cumulative morphine consumption using intravenous patient-controlled analgesia (IV-PCA) at 24 hour postoperatively. The secondary outcomes were the visual analogue scale (VAS) scores at 1, 6, 24, and 48 hour postoperatively and the occurrence of adverse events and patient satisfaction after the surgery. Results: Forty-six patients were included, 24 in group C and 22 in group R. The cumulative morphine consumption using IV-PCA did not differ between the two groups (P = 0.631). The intraoperative use of remifentanil was higher in group C than in group R (P = 0.025). The resting and coughing VAS scores at 1 hour postoperatively were higher in group R than in group C (P = 0.011, P= 0.004). The incidence of adverse events and patient satisfaction was not significantly different between the two groups. Conclusions A single injection of ultrasound-guided RLB did not reduce postoperative analgesic requirements following breast surgery.

Background: Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department. Methods: This study prospectively collected nationwide data from an ongoing multicenter cohort of patients with sepsis identified in the emergency department. Patients were enrolled from 19 hospitals between September 2019 and December 2020. For acquired data from 3,657 survivors and 1,455 deaths, six ML models (logistic regression, support vector machine, random forest, extreme gradient boosting [XGBoost], light gradient boosting machine, and categorical boosting [CatBoost]) were constructed using fivefold cross-validation to predict mortality. Through these models, 44 clinical variables measured on the day of admission were compared with six sequential organ failure assessment (SOFA) components (PaO 2 /FIO 2 [PF], platelets (PLT), bilirubin, cardiovascular, Glasgow Coma Scale score, and creatinine).The confidence interval (CI) was obtained by performing 10,000 repeated measurements via random sampling of the test dataset. All results were explained and interpreted using Shapley’s additive explanations (SHAP). Results: Of the 5,112 participants, CatBoost exhibited the highest area under the curve (AUC) of 0.800 (95% CI, 0.756–0.840) using clinical variables. Using the SOFA components for the same patient, XGBoost exhibited the highest AUC of 0.678 (95% CI, 0.626–0.730). As interpreted by SHAP, albumin, lactate, blood urea nitrogen, and international normalization ratio were determined to significantly affect the results. Additionally, PF and PLTs in the SOFA component significantly influenced the prediction results. Conclusion Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.