Physicians' Risk Tolerance and Head Computed Tomography Use for Pediatric Patients With Minor Head Injury.

OBJECTIVES: Traumatic brain injury is the leading cause of death and disability in children worldwide. The objective of this study was to determine the association between physician risk tolerance and head computed tomography (CT) use in patients with minor head injury (MHI) in the emergency department (ED). METHODS: We retrospectively analyzed pediatric patients (<17 years old) with MHI in the ED and then administered 2 questionnaires (a risk-taking subscale [RTS] of the Jackson Personality Inventory and a malpractice fear scale [MFS]) to attending physicians who had evaluated these patients and made decisions regarding head CT use. The primary outcome was head CT use during ED evaluation; the secondary outcome was ED length of stay and final diagnosis of intracranial injury (ICI). RESULTS: Of 523 patients with MHI, 233 (44.6%) underwent brain CT, and 16 (3.1%) received a final diagnosis of ICI. Among the 16 emergency physicians (EPs), the median scores of the MFS and RTS were 22 (interquartile range, 17-26) and 23 (interquartile range, 19-25), respectively. Emergency physicians who were most risk averse tended to order more head CT scans compared with the more risk-tolerant EPs (56.96% vs 37.37%; odds ratio, 8.463; confidence interval, 2.783-25.736). The ED length of stay (P = 0.442 and P = 0.889) and final diagnosis (P = 0.155 and P = 0.835) of ICI were not significantly associated with the RTS and MFS scores. CONCLUSIONS: Individual EP risk tolerance, as measured by RTS, was predictive of CT use in pediatric patients with MHI.

C-Reactive Protein Concentration Can Help to Identify Bacteremia in Children Visiting the Emergency Department: A Single Medical Center Experience.

BACKGROUND: For febrile children who are evaluated in a pediatric emergency department (PED), blood culture can be considered the laboratory criterion standard to detect bacteremia. However, high rates of negative, false-positive, or contaminated blood cultures in children often result in this testing being noncontributory. This study determined the factors associated with true-positive blood cultures in children. METHODS: This retrospective study was conducted at a tertiary medical center's PED. The blood culture use reports were prepared by an infectious disease specialist and were classified as bacteremia, nonbacteremia, and contamination. RESULTS: We registered a total of 239,459 PED visits during the 8-year period, and 21,841 blood culture samples were taken. Of the laboratory test studies, higher C-reactive protein (CRP) levels and lower hemoglobin levels were observed in the bacteremia group compared with other groups (all P < 0.001). The cut-off value calculated for each age group was adjusted for better clinical usage and significantly improved the blood culture clinical utility documented in the following age groups: 0 to 1 years (CRP level = 30 mg/L, odds ratio [OR] = 5.4, P < 0.001), 1 to 3 years (CRP level = 45 mg/L, OR = 3.7, P < 0.001), and 12 to 18 years (CRP level = 50 mg/L, OR = 6.3, P = 0.006). Using the CRP cut-off value established in this study, we could reduce the blood culture samples in the PED by 14,108 (64.6%). CONCLUSIONS: This study provides new evidence that CRP may be a useful indicator for blood culture sampling in certain age groups and may help improve the efficiency of blood culture in the PED.

Time to epinephrine treatment is associated with the risk of mortality in children who achieve sustained ROSC after traumatic out-of-hospital cardiac arrest.

BACKGROUND: The benefits of early epinephrine administration in pediatric with nontraumatic out-of-hospital cardiac arrest (OHCA) have been reported; however, the effects in pediatric cases of traumatic OHCA are unclear. Since the volume-related pharmacokinetics of early epinephrine may differ obviously with and without hemorrhagic shock (HS), beneficial or harmful effects of nonselective epinephrine stimulation (alpha and beta agonists) may also be enhanced with early administration. In this study, we aimed to analyze the therapeutic effect of early epinephrine administration in pediatric cases of HS and non-HS traumatic OHCA. METHODS: This was a multicenter retrospective study (2003-2014). Children (aged ≤ 19 years) who experienced traumatic OHCA and were administered epinephrine for resuscitation were included. Children were classified into the HS (blood loss > 30% of total body fluid) and non-HS groups. The demographics, outcomes, postresuscitation hemodynamics (the first hour) after the sustained return of spontaneous circulation (ROSC), and survival durations were analyzed and correlated with the time to epinephrine administration (early < 15, middle 15-30, late > 30 min) in the HS and non-HS groups. Cox regression analysis was used to adjust for risk factors of mortality. RESULTS: A total of 509 children were included. Most of them (n = 348, 68.4%) had HS OHCA. Early epinephrine administration was implemented in 131 (25.7%) children. In both the HS and non-HS groups, early epinephrine administration was associated with achieving sustained ROSC (both p < 0.05) but was not related to survival or good neurological outcomes (without adjusting for confounding factors). However, early epinephrine administration in the HS group increased cardiac output but induced metabolic acidosis and decreased urine output during the initial postresuscitation period (all p < 0.05). After adjusting for confounding factors, early epinephrine administration was a risk factor of mortality in the HS group (HR 4.52, 95% CI 2.73-15.91). CONCLUSION: Early epinephrine was significantly associated with achieving sustained ROSC in pediatric cases of HS and non-HS traumatic OHCA. For children with HS, early epinephrine administration was associated with both beneficial (increased cardiac output) and harmful effects (decreased urine output and metabolic acidosis) during the postresuscitation period. More importantly, early epinephrine was a risk factor associated with mortality in the HS group.

Significant predictive factors of the severity and outcomes of the first attack of acute angioedema in children.

BACKGROUND: The initial episode of angioedema in children can be potential life-threatening due to the lack of prompt identification and treatment. We aimed to analyze the factors predicting the severity and outcomes of the first attack of acute angioedema in children. METHODS: This was a retrospective study with 406 children (< 18 years) who presented in the emergency department (ED) with an initial episode of acute angioedema and who had subsequent follow-up visits in the out-patient department from January 2008 to December 2014. The severity of the acute angioedema was categorized as severe (requiring hospital admission), moderate (requiring a stay in the short-term pediatric observation unit [POU]), or mild (discharged directly from the ED). The associations among the disease severity, patient demographics and clinical presentation were analyzed. RESULT: In total, 109 (26.8%) children had severe angioedema, and the majority of those children were male (65.1%). Most of the children were of preschool age (56.4%), and only 6.4% were adolescents. The co-occurrence of pyrexia or urticaria, etiologies of the angioedema related to medications or infections, the presence of respiratory symptoms, and a history of allergies (asthma, allergic rhinitis) were predictors of severe angioedema (all p < 0.05). Finally, the duration of angioedema was significantly shorter in children who had received short-term POU treatment (2.1 ± 1.1 days) than in those who discharged from ED directly (2.3 ± 1.4 days) and admitted to the hospital (3.5 ± 2.0 days) (p < 0.001). CONCLUSION: The co-occurrence of pyrexia or urticaria, etiologies related to medications or infections, the presence of respiratory symptoms, and a history of allergies were predictors of severe angioedema. More importantly, short-term POU observation and prompt treatment might be benefit for patients who did not require hospital admission.

The influence of crowding on clinical practice in the emergency department.

BACKGROUND: This study aimed to clarify the association between the crowding and clinical practice in the emergency department (ED). METHODS: This 1-year retrospective cohort study conducted in two EDs in Taiwan included 70,222 adult non-trauma visits during the day shift between July 1, 2011, and June 30, 2012. The ED occupancy status, determined by the number of patients staying during their time of visit, was used to measure crowding, grouped into four quartiles, and analyzed in reference to the clinical practice. The clinical practices included decision-making time, patient length of stay, patient disposition, and use of laboratory examinations and computed tomography (CT). RESULT: The four quartiles of occupancy statuses determined by the number of patients staying during their time of visit were <24, 24-39, 39-62, and >62. Comparing >62 and <24 ED occupancy statuses, the physicians' decision-making time and patients' length of stay increased by 0.3h and 1.1h, respectively. The percentage of patients discharged from the ED decreased by 15.5% as the ED observation, general ward, and intensive care unit admissions increased by 10.9%, 4%, and 0.7%, respectively. CT and laboratory examination slightly increased in the fourth quartile of ED occupancy. CONCLUSION: Overcrowding in the ED might increase physicians' decision-making time and patients' length of stay, and more patients could be admitted to observation units or an inpatient department. The use of CT and laboratory examinations would also increase. All of these could lead more patients to stay in the ED.

Can different physicians providing urgent and non-urgent treatment improve patient flow in emergency department?

BACKGROUND: Emergency Department (ED) overcrowding is a worldwide problem, and it might be caused by prolonged patient stay in the ED. This study tried to analyze if different practice models influence patient flow in the ED. MATERIALS AND METHODS: A retrospective, 1-year cohort study was conducted across two EDs in the largest healthcare system in Taiwan. A total of 37,580 adult non-trauma patients were involved in the study. The clinical practice between two ED practice models was compared. In one model, urgent and non-urgent patients were treated by different emergency physicians (EPs) separately (separated model). In the other, EPs treated all patients assigned randomly (merged model). The ED length of stay (LOS), diagnostic tool use (including laboratory examinations and computed tomography scans), and patient dispositions (including discharge, general ward admission, intensive care unit (ICU) admissions, and ED mortality) were selected as outcome indicators. RESULT: Patients discharged from ED had 0.4h shorter ED LOS in the separated model than in merged model. After adjusting for the potential confounding factors through regression model, there was no difference of patient disposition of the two practice models. However, the separated model showed a slight decrease in laboratory examination use (adjusted odds ratio, 0.9; 95% confidence interval, 0.83-0.96) compared with the merged model. CONCLUSION: The separated model had better patient flow than the merged model did. It decreased the ED LOS in ED discharge patients and laboratory examination use.

The impact of prolonged waiting time for coronary care unit admission on patients with non ST-elevation acute coronary syndrome.

BACKGROUND: The boarding of patients in the emergency department consumes nursing and physician resources, and may delay the evaluation of new patients. It may also contribute to poor cardiovascular outcomes in patients with acute coronary syndrome (ACS). This study analyzed the relationship between the delay in coronary care unit (CCU) admission and the clinical outcomes of patients with ACS with non-ST-segment elevation (NSTE-ACS). METHODS: Patients were divided into 2 groups according to the CCU waiting time (<12h and >12h). Outcome variables including in-hospital mortality, gastrointestinal bleeding and stroke during hospitalization, and duration of hospital stay were compared between the 2 study groups. We used the GRACE risk scores to classify disease severity of the study patients for stratifying analysis. RESULT: A difference was found in the outcome of gastrointestinal bleeding. Among those with GRACE risk scores of <3 (low mortality risk) and 3 (high mortality risk), 5% and 3.1% of patients developed gastrointestinal bleeding, respectively, with CCU waiting time of >12h compared to CCU waiting time of <12h. However, there was no significant statistical difference (P=0.065 and 0.547). In addition, there were no significant differences in the in-hospital mortality rate, incidence of stoke, and duration of hospital stay between the 2 groups. CONCLUSION: There was no significant difference in the clinical outcomes of NSTE-ACS patients without profound shock between those with CCU waiting times of <12 and >12h. If necessary, CCU admission should be prioritized for patients whose hemodynamic instability or respiratory failure.

Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Background: The global aging population presents a significant challenge, with older adults experiencing declining physical and cognitive abilities and increased vulnerability to chronic diseases and adverse health outcomes. This study aims to develop an interpretable deep learning (DL) model to predict adverse events in geriatric patients within 72 hours of hospitalization. Methods: The study used retrospective data (2017-2020) from a major medical center in Taiwan. It included non-trauma geriatric patients who visited the emergency department and were admitted to the general ward. Data preprocessing involved collecting prognostic factors like vital signs, lab results, medical history, and clinical management. A deep feedforward neural network was developed, and performance was evaluated using accuracy, sensitivity, specificity, positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC). Model interpretation utilized the Shapley Additive Explanation (SHAP) technique. Results: The analysis included 127,268 patients, with 2.6% experiencing imminent intensive care unit transfer, respiratory failure, or death during hospitalization. The DL model achieved AUCs of 0.86 and 0.84 in the validation and test sets, respectively, outperforming the Sequential Organ Failure Assessment (SOFA) score. Sensitivity and specificity values ranged from 0.79 to 0.81. The SHAP technique provided insights into feature importance and interactions. Conclusion: The developed DL model demonstrated high accuracy in predicting serious adverse events in geriatric patients within 72 hours of hospitalization. It outperformed the SOFA score and provided valuable insights into the model's decision-making process.

RAPID-ED: A predictive model for risk assessment of patient's early in-hospital deterioration from emergency department.

Introduction: The objective of this multi-center retrospective cohort study was to devise a predictive tool known as RAPID-ED. This model identifies non-traumatic adult patients at significant risk for cardiac arrest within 48 hours post-admission from the emergency department. Methods: Data from 224,413 patients admitted through the emergency department (2016-2020) was analyzed, incorporating vital signs, lab tests, and administered therapies. A multivariable regression model was devised to anticipate early cardiac arrest. The efficacy of the RAPID-ED model was evaluated against traditional scoring systems like National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) and its predictive ability was gauged via the area under the receiver operating characteristic curve (AUC) in both hold-out validation set and external validation set. Results: RAPID-ED outperformed traditional models in predicting cardiac arrest with an AUC of 0.819 in the hold-out validation set and 0.807 in the external validation set. In this critical care update, RAPID-ED offers an innovative approach to assessing patient risk, aiding emergency physicians in post-discharge care decisions from the emergency department. High-risk score patients (≥13) may benefit from early ICU admission for intensive monitoring. Conclusion: As we progress with advancements in critical care, tools like RAPID-ED will prove instrumental in refining care strategies for critically ill patients, fostering an improved prognosis and potentially mitigating mortality rates.

Evaluation of the effectiveness of peer pressure to change disposition decisions and patient throughput by emergency physician.

OBJECTIVES: The aim of this study was to develop a strategy for imposing peer pressure on emergency physicians to discharge patients and to evaluate patient throughput before and after intervention. METHODS: A before-and-after study was conducted in a medical center with more than 120 000 annual emergency department (ED) visits. All nontraumatic adult patients who presented to the ED between 7:30 and 11:30 am Wednesday to Sunday were reviewed. We created a "team norm" imposed peer-pressure effect by announcing the patient discharge rate of each emergency physician through monthly e-mail reminders. Emergency department length of stay (LOS) and 8-hour (the end of shift) and final disposition of patients before (June 1, 2011-September 30, 2011) and after (October 1, 2011-January 30, 2012) intervention were compared. RESULTS: Patients enrolled before and after intervention totaled 3305 and 2945. No differences existed for age, sex, or average number of patient visits per shift. The 8-hour discharge rate increased significantly for all patients (53.5% vs 48.2%, P < .001), particularly for triage level III patients (odds ratio, 1.3; 95% confidence interval, 1.09-1.38) after intervention and without corresponding differences in the final disposition (P = .165) or admission rate (33.7% vs 31.6%, P = .079). Patients with a final discharge disposition had a shorter LOS (median, 140.4 min vs 158.3 min; P < .001) after intervention. CONCLUSIONS: The intervention strategy used peer pressure to enhance patient flow and throughput. More patients were discharged at the end of shifts, particularly triage level III patients. The ED LOS for patients whose final disposition was discharge decreased significantly.

A melioidosis patient presenting with brainstem signs in the emergency department.

BACKGROUND: Neurological abnormalities in melioidosis are rare but may manifest as an acute stroke, and in the emergency department (ED), an inappropriate stroke treatment may threaten a patient's life. OBJECTIVES: A case of cerebral melioidosis is reported in a patient presenting with brainstem signs to increase awareness of the uncommon presentations of melioidosis that may cause a delayed diagnosis in the ED. CASE REPORT: A 45-year-old man who worked as a construction worker, with diabetes mellitus and alcoholic liver cirrhosis, presented to the ED after a 10-day period of fever and cough. He was initially diagnosed and treated as a case of community-acquired pneumonia. However, a sudden change in consciousness with 6th and 7th cranial nerve palsy and flaccid paralysis were noted while he was in the ED, and acute brainstem stroke was suspected. Brain magnetic resonance imaging disclosed brainstem lesions, slightly hypointense on T1-weighted images and hyperintense on T2-weighted images. Blood and urine cultures subsequently yielded Burkholderia pseudomallei. Abdominal computed tomography revealed multiple small consolidated patches, ground-glass opacities, small nodules in the lower lungs bilaterally, and a pancreatic tail abscess. Systemic melioidosis with lung, pancreas, urogenic tract, and brainstem involvement was diagnosed. Three weeks after admission, the patient died from a sudden onset of apnea and asystole. CONCLUSIONS: In light of this case, patients with identifiable risk factors, especially underlying diabetes, a history of positive soil contact, and those who lived in an endemic area or ever traveled to an endemic area, and who present themselves with fever and neurologic deficit or multi-organ involvement, should have melioidosis considered in the differential diagnosis.

The influence of physician seniority on disparities of admit/discharge decision making for ED patients.

OBJECTIVES: Differences in disposition between emergency physicians (EPs) have been studied in select patient populations but not in general emergency department (ED) patients. After determining whether a difference existed in admit/discharge decision making of EPs for general ED patients, we focus our study in examining the influence of EP seniority on the decision to discharge ED patients. METHODS: In a 1-year retrospective study, we included a convenience sample of all 18 953 adult nontraumatic ED patients. We reviewed the admit/discharge dispositions at each shift made by 16 EPs. EPs were categorized by seniority to determine whether seniority influenced disposition. Three groups had 5, 4, and 7 EPs each, with >10 years, 5 to 9 years, and <5 years of working experience, respectively. RESULTS: Patient demographics, triage level, and number of patients per shift did not differ statistically between EPs and each group. The number of discharged patients per shift differed statistically between EPs (P < .001) and each group. The most senior EPs had the lowest discharge rates compared with EPs in intermediate and junior groups. They had lower discharge rates for patients at triage levels 1, 2, and 3 as well as for all patients. However, no difference in unscheduled ED revisit rates was found. CONCLUSIONS: EPs vary in their admit/discharge decision making for general ED patients. More importantly, the most senior EPs were found to have the lowest discharge rates compared with their junior colleagues.

Correction: Yau et al. Risk Factors for Early Return Visits to the Emergency Department in Patients Presenting with Nonspecific Abdominal Pain and the Use of Computed Tomography Scan. Healthcare 2021, 9, 1470.

The authors would like to make corrections to their published paper [...].

The Impact of Do-Not-Resuscitate Order in the Emergency Department on Respiratory Failure after ICU Admission.

(1) Background: It has been hypothesized that a discrepancy exists in the understanding of a do-not-resuscitate (DNR) order among physicians. We hypothesized that a DNR order signed in the emergency department (ED) could influence the patients' prognosis after intensive care unit (ICU) admission. (2) Methods: We included patients older than 17 years, who visited the emergency department for non-traumatic disease, who had respiratory failure, required ventilator support, and were admitted to the ICU between January 2010 and December 2016. The associations between DNR and mortality, hospital length of stay (LOS), and medical fees were analyzed. Prolonged hospital LOS was defined as hospital stay ≥75th percentile (≥26 days for the study). Patients were classified as those who did and did not sign a DNR order. A 1:4 propensity score matching was conducted for demographics, comorbidities, and etiology. (3) Results: The study enrolled a total of 1510 patients who signed a DNR and 6040 patients who did not sign a DNR. The 30-day mortality rates were 47.4% and 28.0% among patients who did and did not sign a DNR, respectively. A DNR order was associated with mortality after adjusting for confounding factors (hazard ratio, 1.9; confidence interval, 1.70−2.03). It was also a risk factor for prolonged hospital LOS in survivors (odds ratio, 1.2; confidence interval, 1.02−1.44). Survivors who signed a DNR order were charged higher medical fees than those who did not sign a DNR (217,159 vs. 245,795 New Taiwan Dollars, p < 0.001). (4) Conclusions: Signing a DNR order in the ED increased the ICU mortality rate among patients who had respiratory failure and needed ventilator support. It increased the risk of prolonged hospital LOS among survivors. Finally, signing a DNR order was associated with high medical fees among survivors.

Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring.

Blood glucose (BG) monitoring is important for critically ill patients, as poor sugar control has been associated with increased mortality in hospitalized patients. However, constant BG monitoring can be resource-intensive and pose a healthcare burden in clinical practice. In this study, we aimed to develop a personalized machine-learning model to predict dysglycemia from electrocardiogram (ECG) data. We used the Medical Information Mart for Intensive Care III database as our source of data and obtained more than 20 ECG records from each included patient during a single hospital admission. We focused on lead II recordings, along with corresponding blood sugar data. We processed the data and used ECG features from each heartbeat as inputs to develop a one-class support vector machine algorithm to predict dysglycemia. The model was able to predict dysglycemia using a single heartbeat with an AUC of 0.92 ± 0.09, a sensitivity of 0.92 ± 0.10, and specificity of 0.84 ± 0.04. After applying 10 s majority voting, the AUC of the model's dysglycemia prediction increased to 0.97 ± 0.06. This study showed that a personalized machine-learning algorithm can accurately detect dysglycemia from a single-lead ECG.

Corrigendum: Shock Index, Pediatric Age-Adjusted Predicts Morbidity and Mortality in Children Admitted to the Intensive Care Unit.

[This corrects the article DOI: 10.3389/fped.2021.727466.].

Association between liberal oxygen therapy and mortality in patients with paraquat poisoning: A multi-center retrospective cohort study.

Paraquat (N, N'-dimethyl-4, 4'-bipyridinium dichloride, PQ) intoxication is a common cause of lethal poisoning. This study aimed to identify the risk of using liberal oxygen therapy in patients with PQ poisoning. This was a multi-center retrospective cohort study involving four medical institutions in Taiwan. Data were extracted from the Chang Gung Research Database (CGRD) from January 2004 to December 2016. Patients confirmed to have PQ intoxication with a urine PQ concentration ≥ 5 ppm were analyzed. Patients who received oxygen therapy before marked hypoxia (SpO2 ≥ 90%) were defined as receiving liberal oxygen therapy. The association between mortality and patient demographics, blood paraquat concentration (ppm), and liberal oxygen therapy were analyzed. A total of 416 patients were enrolled. The mortality rate was higher in the liberal oxygen therapy group (87.8% vs. 73.7%, P = 0.007), especially in 28-day mortality (adjusted odds ratio [aOR]: 4.71, 95% confidence interval [CI]: 1.533-14.471) and overall mortality (aOR: 5.97, 95% CI: 1.692-21.049) groups. Mortality in patients with PQ poisoning was also associated with age (aOR: 1.04, 95% CI: 1.015-1.073), blood creatinine level (aOR: 1.49, 95% CI: 1.124-1.978), and blood paraquat concentration (ppm) (aOR, 1.51; 95% CI: 1.298-1.766). Unless the evidence of hypoxia (SpO2 < 90%) is clear, oxygen therapy should be avoided because it is associated with increased mortality.

Shock Index, Pediatric Age-Adjusted Predicts Morbidity and Mortality in Children Admitted to the Intensive Care Unit.

Background: The shock index, pediatric age-adjusted (SIPA), defined as the maximum normal heart rate divided by the minimum normal systolic blood pressure by age, can help predict the risk of morbidity and mortality after pediatric trauma. This study investigated whether the SIPA can be used as an early index of prognosis for non-traumatic children visiting the pediatric emergency department (ED) and were directly admitted to the intensive care unit (ICU). We hypothesized that an increase in SIPA values in the first 24 h of ICU admission would correlate with mortality and adverse outcomes. Methods: This multicenter retrospective study enrolled non-traumatic patients aged 1-17 years who presented to the pediatric ED and were directly admitted to the ICU from January 1, 2016, to December 31, 2018, in Taiwan. The SIPA value was calculated at the time of arrival at the ED and 24 h after ICU admission. Cutoffs included SIPA values >1.2 (patient age: 1-6), >1.0 (patient age: 7-12), and >0.9 (patient age: 12-17). The utility of the SIPA and the trends in the SIPA during the first 24 h of ICU admission were analyzed to predict outcomes. Results: In total, 1,732 patients were included. Of these, 1,050 (60.6%) were under 6 years old, and the median Pediatric Risk of Mortality score was 7 (5-10). In total, 4.7% of the patients died, 12.9% received mechanical ventilator (MV) support, and 11.1% received inotropic support. The SIPA value at 24 h after admission was associated with increased mortality [odds ratio (OR): 4.366, 95% confidence interval (CI): 2.392-7.969, p < 0.001], MV support (OR: 1.826, 95% CI: 1.322-2.521, p < 0.001), inotropic support (OR: 2.306, 95% CI: 1.599-3.326, p < 0.001), and a long hospital length of stay (HLOS) (2.903 days, 95% CI: 1.734-4.271, p < 0.001). Persistent abnormal SIPA value was associated with increased mortality (OR: 2.799, 95% CI: 1.566-5.001, p = 0.001), MV support (OR: 1.457, 95% CI: 1.015-2.092, p = 0.041), inotropic support (OR: 1.875, 95% CI: 1.287-2.833, p = 0.001), and a long HLOS (3.2 days, 95% CI: 1.9-4.6, p < 0.001). Patients with abnormal to normal SIPA values were associated with decreased mortality (OR: 0.258, 95% CI: 0.106-0.627, p = 0.003), while patients with normal to abnormal SIPA values were associated with increased mortality (OR: 3.055, 95% CI: 1.472-5.930, p = 0.002). Conclusions: In non-traumatic children admitted to the ICU from the ED, increased SIPA values at 24 h after ICU admission predicted high mortality and bad outcomes. Monitoring the trends in the SIPA could help with prognostication and optimize early management.

Risk Factors for Early Return Visits to the Emergency Department in Patients Presenting with Nonspecific Abdominal Pain and the Use of Computed Tomography Scan.

Over a quarter of patients presenting with abdominal pain at emergency departments (EDs) are diagnosed with nonspecific abdominal pain (NSAP) at discharge. This study investigated the risk factors associated with return ED visits in Taiwanese patients with NSAP after discharge. We divided patients into two groups: the study group comprising patients with ED revisits after the index ED visit, and the control group comprising patients without revisits. During the study period, 10,341 patients discharged with the impression of NSAP after ED management. A regression analysis found that older age (OR [95%CI]: 1.007 [1.003-1.011], p = 0.004), male sex (OR [95%CI]: 1.307 [1.036-1.650], p = 0.024), and use of NSAIDs (OR [95%CI]: 1.563 [1.219-2.003], p < 0.001) and opioids (OR [95%CI]: 2.213 [1.643-2.930], p < 0.001) during the index visit were associated with increased return ED visits. Computed tomography (CT) scans (OR [95%CI]: 0.605 [0.390-0.937], p = 0.021) were associated with decreased ED returns, especially for those who were older than 60, who had an underlying disease, or who required pain control during the index ED visit.

Corrigendum: Shock Index, Pediatric Age-Adjusted Predicts Morbidity and Mortality in Children Admitted to the Intensive Care Unit.

[This corrects the article DOI: 10.3389/fped.2021.727466.].