Association between the Korean Triage and Acuity Scale level and severity of children with dyspnea in the emergency department

Purpose@#Triage tools play a vital role in classifying the severity of children in emergency departments (EDs). We investigated the association between the Korean Triage and Acuity Scale (KTAS) and severity of dyspnea in the ED. @*Methods@#We conducted a retrospective study of children aged 3-14 years with dyspnea who visited the ED from January 2015 through December 2021. They were divided into severe (KTAS level 1-3) and non-severe (KTAS level 4-5) groups. Between the groups, we compared the clinical characteristics, including age, sex, associated symptoms, vital signs, route of visit, treatment at ED, and outcomes. @*Results@#Among a total of 468 children with dyspnea, 267 and 201 were assigned to the severe and non-severe groups, respectively. The severe group had higher frequencies of fever (21.7% vs. 13.9%; P = 0.031), cough (53.2% vs. 43.3%; P = 0.034), systemic steroids (42.3% vs. 25.9%; P < 0.001), intravenous fluids (47.6% vs. 25.4%; P < 0.001), oxygen therapy (16.5% vs. 6.5%; P = 0.001), inotropics (4.1% vs. 1.0%; P = 0.042), and hospitalization (24.7% vs. 11.9%; P = 0.002). The severe group also showed a higher mean heart rate, respiratory rate, and temperature, and lower mean oxygen saturation (all Ps < 0.001). Among these findings, fever, heart rate, respiratory rate, temperature, intravenous fluids, oxygen therapy, inotropics, and hospitalization remained significantly different between the groups after defining the severe group as a KTAS level 1-2. @*Conclusion@#This study shows the association between KTAS and severity of dyspnea in the ED. Therefore, KTAS may reflect not only the initial clinical conditions but also emergency measures and outcomes in children with dyspnea who visit EDs.

Clinical predicting factors that can distinguish superficial and deep injuries in penetrating neck injury?

Objective@#The frequency of penetrating neck injuries has gradually increased with the development of industry and the rising crime rates. There have been few studies with penetrating neck injuries reported in Korea. Thus, we analyzed clinical factors that could differentiate between superficial and deep injuries in patients with penetrating neck injuries. @*Methods@#We investigated the medical records of 90 patients with penetrating neck injuries who visited the emergency department between January 2010 and March 2020. To identify the degree of injuries, we compared age, sex, onset and arrival time, onset-to-arrival time, initial vital signs, Glasgow Coma Scale, Revised Trauma Score, cause, mechanism, location and number of injuries, anatomical zone, alcohol intake and psychiatric history were classified as early clinical factors. @*Results@#Among 90 patients, 51 had superficial injuries, and 39 had deep injuries. The early clinical factors showing statistically significant differences were the Glasgow Coma Scale, Revised Trauma Score, cause of injury and anatomical zones. As the Glasgow Coma Scale increased by 1 point, deep injuries decreased by 0.807 times compared to superficial injuries. Homicidal injuries were 3.233 times deeper than suicidal injuries. @*Conclusion@#If the Glasgow Coma Scale is low or the cause of injury is homicide, the possibility of a deep penetrating injury is high. Therefore, it is important to treat the patient carefully, considering these factors.

Artificial neural network approach for acute poisoning mortality prediction in emergency departments

Objective@#The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model. @*Methods@#In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models. @*Results@#Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model. @*Conclusion@#This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.

Artificial neural network approach for acute poisoning mortality prediction in emergency departments

Objective@#The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model. @*Methods@#In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models. @*Results@#Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model. @*Conclusion@#This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.

Prediction for serious bacterial infection in febrile children aged 3 years or younger: comparison of inflammatory markers, the Laboratory-score, and a new laboratory combined model

PURPOSE: To compare the efficacy of inflammatory markers, the Laboratory-score, and a new laboratory combined model for predicting serious bacterial infection (SBI) in young febrile children.METHODS: The presence of SBI was reviewed in previously healthy children aged 3 years or younger with fever (> 38℃) who visited the emergency department from 2017 through 2018. Areas under the curves (AUCs) of the receiver operating characteristic curve for SBI were compared with individual inflammatory markers (white blood cells [WBC] count, erythrocyte sedimentation rate [ESR], C-reactive protein [CRP], procalcitonin [PCT], and urine WBC count), the Laboratory-score, and a laboratory combined model. The latter model was developed using logistic regression analysis including ESR, CRP, and PCT.RESULTS: Of the 203 enrolled children, SBI was diagnosed in 58 (28.6%). For SBI prediction, the Laboratory-score showed 51.7% sensitivity (95% confidence interval [CI], 38.2%–65.0%) and 83.5% specificity (95% CI, 76.4%–89.1%). The AUC of the Laboratory-score (0.76) was significantly superior to the values of all individual inflammatory markers (WBC, 0.59 [P = 0.032]; ESR, 0.69; and CRP, 0.74 [P < 0.001]) except that of PCT (0.77, [P < 0.001]). The AUC of the laboratory combined model (0.80) was superior to that of the Laboratory-score (0.76) (P < 0.001).CONCLUSION: In this study, the new laboratory combined model showed good predictability for SBI. This finding suggests the usefulness of combining ESR, CRP, and PCT in predicting SBI.

Factors associated with hospitalization via emergency department in children with acute bronchiolitis

PURPOSE: In infants and young children, acute bronchiolitis is a leading cause of hospitalization via emergency departments (EDs). We aimed to investigate factors associated with hospitalization via ED in children with acute bronchiolitis. METHODS: We reviewed medical records of children aged 36 months or younger with acute bronchiolitis who visited the ED from January to December 2017. The following clinical data were collected and analyzed: age, sex, premature birth history, symptoms, fever duration, presence of respiratory distress and radiographic lesion, and inflammatory markers. RESULTS: Of 780 children enrolled, 463 (59.4%) were hospitalized via the ED. The factor associated with the hospitalization were age ≤ 12 months (odd ratio [OR], 45.34; confidence interval [CI], 17.50-117.44), fever lasting ≥ 3 days (OR, 13.66; 95% CI, 6.46-28.87), respiratory rate ≥ 24 breaths per minute (OR, 6.88; 95% CI, 4.21-11.26), radiographic lesion (OR, 5.70; 95% CI, 2.62-12.40), and chest retraction (OR, 2.45; 95% CI, 1.11-5.41). CONCLUSION: In children with acute bronchiolitis who visit EDs, those having younger age, longer fever duration, respiratory distress or radiographic lesion may need hospitalization.

Adequacy of Videos for Adult Basic Life Support in a Portal Site of Korea

PURPOSE: Prompt initiation of effective cardiopulmonary resuscitation (CPR) and defibrillation is underlined in the guideline. Many people search health-related information on the internet. The objective of this study was to evaluate the content and quality of videos for adult basic life support (BLS) on the internet. METHODS: We searched 'Daum' for the term 'CPR' in Korean. Videos dealing with BLS over 5 sequences were included. Videos inserted in the news and drama or used for advertisement or entertainment, or which only contained pediatric BLS were excluded. Two emergency physicians analyzed videos using a standardized checklist. RESULTS: Of 1,600 videos, 32 met the inclusion criteria, except for duplicate videos. More than 90% of videos showed appropriate demonstration for check response, activate emergency response system, correct hand placement, minimize interruptions in chest compression, 30:2 compression to ventilation ratio, open airway, and deliver rescue breath; 13 (40.6%) and 12 (37.5%) videos demonstrated 'call for automated external defibrillator (AED)' and 'apply AED', respectively; 25 (78.1%), 23 (71.9%), and 27 (84.4%) videos showed correct demonstration for chest compression rate and depth, and complete chest recoil, respectively; 6 (18.8%) and 10 (31.3%) videos contained instructions for 'complete chest recoil' and 'minimize interruptions in chest compression', respectively. Only 2 (6.3%) videos dealt with hands-only CPR. CONCLUSION: A large proportion of educational videos for adult BLS contained basic sequence of BLS, except for 'call for AED' and 'apply AED'. There is a lack of instruction for high-quality CPR, particularly for minimizing interruptions in chest compression and complete chest recoil, and hands-only CPR.

Cardiac Toxicity in Patients with Antidepressant Intoxication

PURPOSE: Although cardiac toxicity is a key parameter of significant toxicity, in antidepressant intoxication, there are few studies on the cardiac toxicity of serotonin reuptake inhibitor and the intoxication with the new generation of antidepressants. The aim of this study is to investigate the relative cardiac toxicity of serotonin reuptake inhibitor and intoxication with the new generation of antidepressants as compared with that of tricyclic antidepressant intoxication. METHODS: We retrospectively reviewed the medical records of 109 antidepressant intoxicated patients who visited the Emergency Department from January, 2005 to December, 2009 to collect and analyze the demographic and clinical data. Sixteen patients were excluded. The enrolled seventy eight patients were classified into three groups: the tricyclic antidepressant group (TCA) (n=32), the selective serotonin reuptake inhibitor subgroup (SSRI) (n=28) and the new generation antidepressant subgroup (NGA) (n=18). RESULTS: The demographic and clinical data of the SSRI and NGA groups were not significantly different from that of the TCA group. The QRS duration of the SSRI subgroup (86.4+/-12.0 msec) and the NGA subgroup (91.8+/-11.9 msec) was not significantly different from that of the TCA group (90.0+/-13.5msec) (p=0.598). CONCLUSION: Intoxication with SSRI and the new generation antidepressants seemed to show significant cardiac toxicity, like what is seen in tricyclic antidepressant intoxication. Clinicians must pay attention to SSRI and new generation antidepressant intoxication.