Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review.

BACKGROUND: Unscheduled return visits (URVs) to emergency departments (EDs) are used to assess the quality of care in EDs. Machine learning (ML) models can incorporate a wide range of complex predictors to identify high-risk patients and reduce errors to save time and cost. However, the accuracy and practicality of such models are questionable. This review compares the predictive power of multiple ML models and examines the effects of multiple research factors on these models' performance in predicting URVs to EDs. METHODS: We conducted the present scoping review by searching eight databases for data from 2010 to 2023. The criteria focused on eligible articles that used ML to predict ED return visits. The primary outcome was the predictive performances of the ML models, and results were analyzed on the basis of intervals of return visits, patient population, and research scale. RESULTS: A total of 582 articles were identified through the database search, with 14 articles selected for detailed analysis. Logistic regression was the most widely used method; however, eXtreme Gradient Boosting generally exhibited superior performance. Variations in visit interval, target group, and research scale did not significantly affect the predictive power of the models. CONCLUSION: This is the first study to summarize the use of ML for predicting URVs in ED patients. The development of practical ML prediction models for ED URVs is feasible, but improving the accuracy of predicting ED URVs to beyond 0.75 remains a challenge. Including multiple data sources and dimensions is key for enabling ML models to achieve high accuracy; however, such inclusion could be challenging within a limited timeframe. The application of ML models for predicting ED URVs may improve patient safety and reduce medical costs by decreasing the frequency of URVs. Further research is necessary to explore the real-world efficacy of ML models.

Does medical disparity exist while treating severe mental illness patients with acute appendicitis in emergency departments? A real-world database study.

BACKGROUND: Patients with severe mental illness (SMI) have a shorter life expectancy and have been considered by the World Health Organization (WHO) as a vulnerable group. As the causes for this mortality gap are complex, clarification regarding the contributing factors is crucial to improving the health care of SMI patients. Acute appendicitis is one of the most common indications for emergency surgery worldwide. A higher perforation rate has been found among psychiatric patients. This study aims to evaluate the differences in appendiceal perforation rate, emergency department (ED) management, in-hospital outcomes, and in-hospital expenditure among acute appendicitis patients with or without SMI via the use of a multi-centre database. METHODS: Relying on Chang Gung Research Database (CGRD) for data, we selectively used its data from January 1st, 2007 to December 31st, 2017. The diagnoses of acute appendicitis and SMI were confirmed by combining ICD codes with relevant medical records. A non-SMI patient group was matched at the ratio of 1:3 by using the Greedy algorithm. The outcomes were appendiceal perforation rate, ED treatment, in-hospital outcome, and in-hospital expenditure. RESULTS: A total of 25,766 patients from seven hospitals over a span of 11 years were recruited; among them, 11,513 were excluded by criteria, with 14,253 patients left for analysis. SMI group was older (50.5 vs. 44.4 years, p < 0.01) and had a higher percentage of females (56.5 vs. 44.4%, p = 0.01) and Charlson Comorbidity Index. An analysis of the matched group has revealed that the SMI group has a higher unscheduled 72-hour revisit to ED (17.9 vs. 10.4%, p = 0.01). There was no significant difference in appendiceal perforation rate, ED treatment, in-hospital outcome, and in-hospital expenditure. CONCLUSIONS: Our study demonstrated no obvious differences in appendiceal perforation rate, ED management, in-hospital outcomes, and in-hospital expenditure among SMI and non-SMI patients with acute appendicitis. A higher unscheduled 72-hour ED revisit rate prior to the diagnosis of acute appendicitis in the SMI group was found. ED health providers need to be cautious when it comes to SMI patients with vague symptoms or unspecified abdominal complaints.

Bacterial Pericarditis Caused by Penetration of a Migrated Biliary Stent from the Lateral Segment of the Liver: A Case Report.

Endoscopic biliary stent insertion is a well-established procedure that is indispensable in the management of various benign and malignant biliary disorders, and one that helps prevent mortality related to invasive surgical procedures. We report a rare case of the distal migration of a biliary stent outside the abdomen to the pericardium, inducing constrictive pericarditis and septic shock. This case alerts clinicians to be aware of potential adverse events that can lead to unfavorable patient outcomes. Such adverse events can be effectively avoided through early detection and intervention.

Impact of the COVID-19 Pandemic on Pediatric Emergency Medicine: A Systematic Review.

(1) Background and Objectives: The COVID-19 pandemic has considerably affected clinical systems, especially the emergency department (ED). A decreased number of pediatric patients and changes in disease patterns at the ED have been noted in recent research. This study investigates the real effect of the pandemic on the pediatric ED comprehensively by performing a systematic review of relevant published articles. (2) Materials and Methods: A systematic review was conducted based on a predesigned protocol. We searched PubMed and EMBASE databases for relevant articles published until 30 November 2021. Two independent reviewers extracted data by using a customized form, and any conflicts were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. (3) Results: A total of 25 articles discussing the impact of COVID-19 on pediatric emergencies were included after full-text evaluation. Geographic distribution analysis indicated that the majority of studies from the European continent were conducted in Italy (32%, 8/25), whereas the majority of the studies from North America were conducted in the United States (24%, 6/25). The majority of the studies included a study period of less than 6 months and mostly focused on the first half of 2020. All of the articles revealed a decline in the number of pediatric patients in the ED (100%, 25/25), and most articles mentioned a decline in infectious disease cases (56%, 14/25) and trauma cases (52%, 13/25). (4) Conclusions: The COVID-19 pandemic resulted in a decline in the number of pediatric patients in the ED, especially in the low-acuity patient group. Medical behavior changes, anti-epidemic policies, increased telemedicine use, and family financial hardship were possible factors. A decline in common pediatric infectious diseases and pediatric trauma cases was noted. Researchers should focus on potential child abuse and mental health problems during the pandemic.

In-Hospital and Long-Term Outcomes in Patients with Head and Neck Cancer Bleeding.

Background and Objectives: The purpose of the present study was to elucidate the in-hospital and long-term outcomes of patients with head and neck cancer (HNC) bleeding and to analyze the risk factors for mortality. Materials and Methods: We included patients who presented to the emergency department (ED) with HNC bleeding. Variables of patients who survived and died were compared and associated factors were investigated by logistic regression and Cox's proportional hazard model. Results: A total of 125 patients were enrolled in the present study. Fifty-nine (52.8%) patients experienced a recurrent bleeding event. The in-hospital mortality rate was 16%. The overall survival at 1, 3 and 5 years was 48%, 41% and 34%, respectively. The median survival time was 9.2 months. Multivariate logistic regression analyses revealed that risk factors for in-hospital mortality were inotropic support (OR = 10.41; Cl 1.81-59.84; p = 0.009), hypopharyngeal cancer (OR = 4.32; Cl 1.29-14.46; p = 0.018), and M stage (OR = 5.90; Cl 1.07-32.70; p = 0.042). Multivariate Cox regression analyses indicate that heart rate >110 (beats/min) (HR = 2.02; Cl 1.16-3.51; p = 0.013), inotropic support (HR = 3.25; Cl 1.20-8.82; p = 0.021), and hypopharygneal cancer (HR = 2.22; Cl 1.21-4.06; p = 0.010) were all significant independent predictors of poorer overall survival. Conclusions: HNC bleeding commonly represents the advanced disease stage. Recognition of associated factors aids in the risk stratification of patients with HNC bleeding.

Prediction of emergency department volume and severity during a novel virus pandemic: Experience from the COVID-19 pandemic.

BACKGROUND: During a novel virus pandemic, predicting emergency department (ED) volume is crucial for arranging the limited medical resources of hospitals for balancing the daily patient- and epidemic-related tasks in EDs. The goal of the current study was to detect specific patterns of change in ED volume and severity during a pandemic which would help to arrange medical staff and utilize facilities and resources in EDs in advance in the event of a future pandemic. METHODS: This was a retrospective study of the patients who visited our ED between November 1, 2019 and April 30, 2020. We evaluated the change in ED patient volume and complexity of patients in our medical record system. Patient volume and severity during various periods were identified and compared with data from the past 3 years and the period that SARS occurred. RESULTS: A reduction in ED volume was evident. The reduction began during the early epidemic period and increased rapidly during the peak period of the epidemic with the reduction continuing during the late epidemic period. No significant difference existed in the percentages of triage levels 1 and 2 between the periods. The admission rate, length of stay in the ED, and average number of patients with out-of-hospital cardiac arrest increased during the epidemic periods. CONCLUSION: A significant reduction in ED volume during the COVID-19 pandemic was noted and a predictable pattern was found. This specific change in pattern in the ED volume may be useful for performing adjustments in EDs in the future during a novel virus pandemic. The severity of patients visiting the ED during epidemic periods was inconclusive.

What is the impact of the COVID-19 pandemic on residency training: a systematic review and analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected medical education in addition to clinical systems. Residency training has probably been the most affected aspect of medical education during the pandemic, and research on this topic is crucial for educators and clinical teachers. The aim of this study was to understand the effect of the COVID-19 pandemic comprehensively through a systematic review and analysis of related published articles. METHODS: A systematic review was conducted based on a predesigned protocol. We searched MEDLINE and EMBASE databases until November 30, 2020, for eligible articles. Two independent reviewers extracted data by using a customized form to record crucial information, and any conflicts between the two reviewers were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. RESULTS: In total, 53 original articles that investigated the effect of the COVID-19 pandemic on residency training were included. Studies from various regions were included in the research, with the largest percentage from the United States (n = 25, 47.2%). Most of these original articles were questionnaire-based studies (n = 44, 83%), and the research target groups included residents (79.55%), program directors (13.64%), or both (6.82%). The majority of the articles (n = 37, 84.0%) were published in countries severely affected by the pandemic. Surgery (n = 36, 67.92%) was the most commonly studied field. CONCLUSIONS: The COVID-19 pandemic has greatly affected residency training globally, particularly surgical and interventional medical fields. Decreased clinical experience, reduced case volume, and disrupted education activities are major concerns. Further studies should be conducted with a focus on the learning outcomes of residency training during the pandemic and the effectiveness of assisted teaching methods.

What is the impact of the COVID-19 pandemic on emergency medicine residency training: an observational study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has engendered difficulties for health systems globally; however, the effect of the pandemic on emergency medicine (EM) residency training programs is unknown. The pandemic has caused reduced volumes of emergency department (ED) patients, except for those with COVID-19 infections, and this may reduce the case exposure of EM residents. The primary objective of this study was to compare the clinical exposure of EM residents between the prepandemic and pandemic periods. METHODS: This was a retrospective study of EM resident physicians' training in a tertiary teaching hospital with two branch regional hospitals in Taiwan. We retrieved data regarding patients seen by EM residents in the ED between September 1, 2019, and April 30, 2020. The first confirmed COVID-19 case in Taiwan was reported on January 11, so the pandemic period in our study was defined as spanning from February 1, 2020, to April 30, 2020. The number and characteristics of patients seen by residents were recorded. We compared the data between the prepandemic and pandemic periods. RESULTS: The mean number of patients per hour (PPH) seen by EM residents in the adult ED decreased in all three hospitals during the pandemic. The average PPH of critical area of medical ED was 1.68 in the pre-epidemic period and decreased to 1.33 in the epidemic period (p value < 0.001). The average number of patients managed by residents decreased from 1.24 to 0.82 in the trauma ED (p value = 0.01) and 1.56 to 0.51 in the pediatric ED (p value = 0.003) during the pandemic, respectively. The severity of patient illness did not change significantly between the periods. CONCLUSIONS: The COVID-19 pandemic engendered a reduced ED volume and decreased EM residents' clinical exposure. All portion of EM residency training were affected by the pandemic, with pediatric EM being the most affected. The patient volume reduction may persist and in turn reduce patients' case exposure until the pandemic subsides. Adjustment of the training programs may be necessary and ancillary methods of learning should be used to ensure adequate EM residency training.

Factors associated with ED length of stay during a mass casualty incident.

BACKGROUND: The aim of this study was to examine the factors associated with emergency department (ED) length of stay (LOS) using the patient registry data from a medical burns center during a burn injury mass casualty incident (MCI) after a dust explosion in New Taipei City, Taiwan. METHODS: This was a retrospective cohort study conducted at an urban, tertiary care teaching hospital during an MCI event that occurred on June 27, 2015. A celebratory party was held at the Formosa Fun Water Park in New Taipei City, Taiwan. At 20:32, the was an explosion caused by an overheated spotlight accidentally igniting colored cornstarch powder that had been sprayed on the stage. Factors associated with ED LOS were compared. RESULTS: In total, 48 burn injury patients were enrolled for study analysis. The median total body surface area of second- to third-degree burns was 35.0% (interquartile range [IQR], 15.8%-55.0%). The median ED LOS was 121.5 minutes (IQR, 38.3-209.8 minutes). The output time interval accounted for the longest interval with a median time of 56.0 minutes (IQR, 15.3-117.3 minutes). In multivariate analysis of the variables, triage level (level III; hazard ratio, 0.06; 95% confidence interval, 0.01-0.52) and output time (hazard ratio, 0.97; 95% confidence interval, 0.96-0.98) were significant influential factors. CONCLUSIONS: The triage level and output time intervals were significantly associated with ED LOS in a burn-related MCI. Time effectiveness analyses, using a patient flow model, might serve as an important indicator during a hospital MCI response.

Implementation of multiple strategies for improved door-to-balloon time in patients with ST-segment elevation myocardial infarction.

Several strategies have been found to be associated with a significant reduction in door-to-balloon (D2B) time in the management of ST-segment elevation myocardial infarction (STEMI). The objective of this retrospective cohort study was to assess D2B time before and after specific hospital strategies, including a computerized provider order entry (CPOE), were implemented to reduce D2B time. Patients who presented to the emergency department within 12 h of STEMI were enrolled. Strategies adopted included: (1) electrocardiography during triage for patients with chest pain; (2) implementing a CPOE; (3) activating the catheterization laboratory by sending a cell phone notification via the computer system; (4) using an open real-time on-line STEMI registry; and (5) conducting a monthly meeting to review registration. A total of 134 patients were included in the study (preintervention, n = 69; postintervention, n = 65). Median D2B time improved from 83 to 63 min after the new strategies were implemented (P = 0.001). Median door-to-electrocardiogram (5-2 min) and door-to-laboratory time (60-41 min) also significantly improved (P < 0.001). The proportion of patients with a D2B time within 90 min increased from 59.4 % to 98.5 % (P < 0.001). In conclusion, our findings suggest that implementing specific strategies can substantially improve D2B time for patients with STEMI and increase the proportion of patients with D2B time less than 90 min.

Comparison of 3 scoring systems to predict mortality from unstable upper gastrointestinal bleeding in cirrhotic patients.

OBJECTIVE: We aimed to compare the performance of Glasgow-Blatchford, preendoscopic Rockall, and model for end-stage liver disease (MELD) scores in cirrhotic patients with unstable upper gastrointestinal bleeding (UGIB) in the emergency department (ED). METHODS: This was a retrospective cohort study conducted at a university-affiliated teaching hospital. Adult cirrhotic patients who presented with acute UGIB and unstable vital signs (heart rate >100 beats/min or systolic blood pressure <100 mm Hg) between January 2009 and February 2011 were included. Patients who were transferred from another hospital, received no emergency endoscopy study, or had incomplete medical records were excluded. Data were retrieved from the admission list of the ED critical zone using international classification of disease code via computer registration. RESULTS: Among enrolled visits, the initial median hemoglobin level was 8.6 (interquartile range, 7.2-10.1) mg/dL in the ED. The median heart rate and systolic blood pressure were 111.0 beats/min and 94.0 mm Hg, respectively. The endoscopic diagnosis of variceal bleeding accounted for 86.6% of the events. The mortality rate was 16.0% (19/119). Model for end-stage liver disease score performed better with an area under the curve (AUC) of 0.736 (95% confidence interval [CI], 0.629-0.842; P = .001) compared with other scoring systems (Glasgow-Blatchford score: AUC, 0.527; 95% CI, 0.393-0.661; P = .709; preendoscopic Rockall score: AUC, 0.591; 95% CI, 0.465-0.717; P = .208). CONCLUSION: Model for end-stage liver disease score performed better in terms of predicting mortality of unstable UGIB in cirrhotic patients compared with Glasgow-Blatchford and preendoscopic Rockall scores in the ED.

Assessing the clinical utility of abdominal computed tomography in sepsis patients with unknown origin: A retrospective cohort study.

Early identification of the sources of infection in emergency department (ED) patients of sepsis remains challenging. Computed tomography (CT) has the potential to identify sources of infection. This retrospective study aimed to investigate the role of CT in identifying sources of infection in patients with sepsis without obvious infection foci in the ED. A retrospective chart review was conducted on patients with fever and sepsis visiting the ED of Linkou Chang Gung Memorial Hospital between July 1, 2020 and June 30, 2021. Data on patient demographics, vital signs, clinical symptoms, underlying medical conditions, laboratory results, administered interventions, length of hospital stay, and mortality outcomes were collected and analyzed. Of 218 patients included in the study, 139 (63.8%) had positive CT findings. The most common sources of infection detected by CT included liver abscesses, acute pyelonephritis, and cholangitis. Laboratory results showed that patients with positive CT findings had higher white blood cell and absolute neutrophil counts and lower hemoglobin levels. Positive blood culture results were more common in patients with positive CT findings. Additionally, the length of hospital stay was longer in the group with positive CT findings. Multivariate logistic regression analysis revealed that hemoglobin levels and positive blood culture results independently predicted positive CT findings in patients with fever or sepsis without an obvious source of infection. In patients with sepsis with an undetermined infection focus, those presenting with leukocytosis, anemia, and elevated absolute neutrophil counts tended to have positive findings on abdominal CT scans. These patients had high rates of bacteremia and longer lengths of stay. Abdominal CT remains a valuable diagnostic tool for identifying infection sources in carefully selected patients with sepsis of undetermined infection origins.

Machine Learning Models for Predicting Mortality in Patients with Cirrhosis and Acute Upper Gastrointestinal Bleeding at an Emergency Department: A Retrospective Cohort Study.

BACKGROUND: Cirrhosis is a major global cause of mortality, and upper gastrointestinal (GI) bleeding significantly increases the mortality risk in these patients. Although scoring systems such as the Child-Pugh score and the Model for End-stage Liver Disease evaluate the severity of cirrhosis, none of these systems specifically target the risk of mortality in patients with upper GI bleeding. In this study, we constructed machine learning (ML) models for predicting mortality in patients with cirrhosis and upper GI bleeding, particularly in emergency settings, to achieve early intervention and improve outcomes. METHODS: In this retrospective study, we analyzed the electronic health records of adult patients with cirrhosis who presented at an emergency department (ED) with GI bleeding between 2001 and 2019. Data were divided into training and testing sets at a ratio of 90:10. The ability of three ML models-a linear regression model, an XGBoost (XGB) model, and a three-layer neural network model-to predict mortality in the patients was evaluated. RESULTS: A total of 16,025 patients with cirrhosis and 32,826 ED visits for upper GI bleeding were included in the study. The in-hospital and ED mortality rates were 11.2% and 2.2%, respectively. The XGB model exhibited the highest performance in predicting both in-hospital and ED mortality (area under the receiver operating characteristic curve: 0.866 and 0.861, respectively). International normalized ratio, renal function, red blood cell distribution width, age, and white blood cell count were the strongest predictors in all the ML models. The median ED length of stay for the ED mortality group was 17.54 h (7.16-40.01 h). CONCLUSIONS: ML models can be used to predict mortality in patients with cirrhosis and upper GI bleeding. Of the three models, the XGB model exhibits the highest performance. Further research is required to determine the actual efficacy of our ML models in clinical settings.

Identification of southern Taiwan genetic variants in thyroid dyshormonogenesis through whole-exome sequencing.

Thyroid dyshormonogenesis (TDH) is responsible for 15%-25% of congenital hypothyroidism (CH) cases. Pathogenetic variants of this common inherited endocrine disorders vary geographically. Unraveling the genetic underpinnings of TDH is essential for genetic counseling and precise therapeutic strategies. This study aims to identify genetic variants associated with TDH in Southern Taiwan using whole exome sequencing (WES). We included CH patients diagnosed through newborn screening at a tertiary medical center from 2011 to 2022. Permanent TDH was determined based on imaging evidence of bilateral thyroid structure and the requirement for continuous medication beyond 3 years of age. Genomic DNA extracted from blood was used for exome library construction, and pathogenic variants were detected using an in-house algorithm. Of the 876 CH patients reviewed, 121 were classified as permanent, with 47 (40%) confirmed as TDH. WES was conducted for 45 patients, and causative variants were identified in 32 patients (71.1%), including DUOX2 (15 cases), TG (8 cases), TSHR (7 cases), TPO (5 cases), and DUOXA2 (1 case). Recurrent variants included DUOX2 c.3329G>A, TSHR c.1349G>A, TG c.1348delT, and TPO c.2268dupT. We identified four novel variants based on genotype, including TSHR c.1135C>T, TSHR c.1349G>C, TG c.2461delA, and TG c.2459T>A. This study underscores the efficacy of WES in providing definitive molecular diagnoses for TDH. Molecular diagnoses are instrumental in genetic counseling, formulating treatment, and developing management strategies. Future research integrating larger population cohorts is vital to further elucidate the genetic landscape of TDH.

Machine learning models for predicting unscheduled return visits of patients with abdominal pain at emergency department and validation during COVID-19 pandemic: A retrospective cohort study.

Machine learning (ML) models for predicting 72-hour unscheduled return visits (URVs) for patients with abdominal pain in the emergency department (ED) were developed in a previous study. This study refined the data to adjust previous prediction models and evaluated the model performance in future data validation during the COVID-19 era. We aimed to evaluate the practicality of the ML models and compare the URVs before and during the COVID-19 pandemic. We used electronic health records from Chang Gung Memorial Hospital from 2018 to 2019 as a training dataset, and various machine learning models, including logistic regression (LR), random forest (RF), extreme gradient boosting (XGB), and voting classifier (VC) were developed and subsequently used to validate against the 2020 to 2021 data. The models highlighted several determinants for 72-hour URVs, including patient age, prior ER visits, specific vital signs, and medical interventions. The LR, XGB, and VC models exhibited the same AUC of 0.71 in the testing set, whereas the VC model displayed a higher F1 score (0.21). The XGB model demonstrated the highest specificity (0.99) and precision (0.64) but the lowest sensitivity (0.01). Among these models, the VC model showed the most favorable, balanced, and comprehensive performance. Despite the promising results, the study illuminated challenges in predictive modeling, such as the unforeseen influences of global events, such as the COVID-19 pandemic. These findings not only highlight the significant potential of machine learning in augmenting emergency care but also underline the importance of iterative refinement in response to changing real-world conditions.

Safety and effectiveness of remdesivir for the treatment of COVID-19 patients with end-stage renal disease: A retrospective cohort study.

BACKGROUND: Remdesivir has been used to treat severe coronavirus 2019 (COVID-19); however, its safety and effectiveness in patients remain unclear. This study aimed to investigate the safety and effectiveness of remdesivir in patients with COVID-19 with end-stage renal disease (ESRD). METHODS: This retrospective study used the Chang Gung Research Database (CGRD) and extracted data from 21,621 adult patients with COVID-19 diagnosed between April 2021 and September 2022. The patients were divided into groups based on their remdesivir use and the presence of ESRD. The adverse effects of remdesivir and their outcomes were analyzed after propensity score matching. RESULTS: To compare the adverse effects of remdesivir, propensity scores were used for one-to-one matching between patients with and without ESRD treated with remdesivir (N = 110). There were no statistically significant differences in heart rates, blood glucose levels, variations in hemoglobin levels before and after remdesivir use, or liver function between the two groups after remdesivir use. A comparison was made between patients with ESRD using remdesivir and those not using remdesivir after propensity score matching (N = 44). Although a shorter length of stay (LOS), lower intensive care unit (ICU) admission rate, and lower intubation rate were noted in the ESRD group treated with remdesivir, the difference was not statistically significant. CONCLUSION: Remdesivir is safe for use in patients with COVID-19 and ESRD; no increased adverse effects were noted compared with patients without ESRD. However, the effectiveness of remdesivir use in patients with COVID-19 and ESRD remains uncertain.

The effects of sodium bicarbonate during prolonged cardiopulmonary resuscitation.

BACKGROUND: This study was performed to determine the effects of sodium bicarbonate injection during prolonged cardiopulmonary resuscitation (for >15 minutes). METHODS: The retrospective cohort study consisted of adult patients who presented to the emergency department (ED) with the diagnosis of cardiac arrest in 2009. Data were retrieved from the institutional database. RESULTS: A total of 92 patients were enrolled in the study. Patients were divided into 2 groups based on whether they were treated (group1, n = 30) or not treated (group 2, n = 62) with sodium bicarbonate. There were no significant differences in demographic characteristics between groups. The median time interval between the administration of CPR and sodium bicarbonate injection was 36.0 minutes (IQR: 30.5-41.8 minutes). The median amount of bicarbonate injection was 100.2 mEq (IQR: 66.8-104.4). Patients who received a sodium bicarbonate injection during prolonged CPR had a higher percentage of return of spontaneous circulation, but not statistical significant (ROSC, 40.0% vs. 32.3%; P = .465). Sustained ROSC was achieved by 2 (6.7%) patients in the sodium bicarbonate treatment group, with no survival to discharge. No significant differences in vital signs after ROSC were detected between the 2 groups (heart rate, P = .124; systolic blood pressure, P = .094). Sodium bicarbonate injection during prolonged CPR was not associated with ROSC after adjust for variables by regression analysis (Table 3; P = .615; odds ratio, 1.270; 95% confidence interval: 0.501-3.219) CONCLUSIONS: The administration of sodium bicarbonate during prolonged CPR did not significantly improve the rate of ROSC in out-of-hospital cardiac arrest.

Hypermagnesemia in a constipated female.

BACKGROUND: Hypermagnesemia is a rare condition that is usually iatrogenic. Magnesium oxide (MgO) ingestion by constipated patients with prolonged colonic retention contributes to hypermagnesemia. Treatment of hypermagnesemia includes discontinuation of the magnesium use, gastrointestinal (GI) decontamination, and removal of magnesium from the serum by dialysis. Calcium acts as an antagonist in hypermagnesemia. CASE REPORT: A 72-year-old woman presented with constipation and MgO ingestion. The patient was brought to our department due to altered mental status and progressive general weakness. Laboratory tests showed a magnesium level of 6.2 mEq/L. Bradycardia and hypotension developed with rebound hypermagnesemia after incomplete dialysis. Abdomen computed tomography showed hyperdense MgO tablets retained in the colon. A magnesium-free laxative was used for GI decontamination. Despite the use of high-dose inotropics and an elevated trigger for transcutaneous pacing, the cardiac performance improved minimally. Although our patient responded to calcium administration with hemodynamic improvement, prolonged hypotension and decreased perfusion led to hypoxic encephalopathy. CONCLUSION: This report demonstrates that MgO tablets retained in the GI tract without adequate decontamination result in continuous absorption and rebound of hypermagnesemia. This report also addresses the importance of GI decontamination in the treatment of hypermagnesemia.

Postintubation hemodynamic effects of intravenous lidocaine in severe traumatic brain injury.

BACKGROUND: The risks of intravenous (IV) lidocaine before rapid sequence induction (RSI) have become a great concern. No study has investigated the hemodynamic effects of IV lidocaine during endotracheal intubation in patients with severe traumatic brain injury. OBJECTIVE: We investigated whether the use of IV lidocaine before RSI was associated with postintubation hemodynamic changes in patients with severe traumatic brain injury. METHODS: In this retrospective cohort study, adults who presented with isolated traumatic brain injury and definite intracranial hemorrhage were included. Patients who presented with other major injuries received prehospital intubation, had initial mean arterial pressure (MAP) less than 70 mm Hg, and/or had incomplete medical records were excluded. RESULTS: A total of 101 patients (82.2% men; mean age, 48.6 ± 19.6 years) were enrolled. Forty-six patients received IV lidocaine in addition to RSI before intubation (group 1), and 55 received RSI without IV lidocaine before intubation (group 2). There were no significant intergroup differences in baseline characteristics, the number of RSI doses, or the RSI dose used, with the exception of sex, diagnosis of subarachnoid hemorrhage, and diagnosis of subdural hemorrhage. Our results demonstrated no significant intergroup differences in MAP changes or the proportion of patients with hypotension (MAP <70 mm Hg) after intubation. Intravenous lidocaine remained unrelated to significant hypotension after adjusting for variables by logistic regression analysis. CONCLUSION: Intravenous lidocaine in addition to RSI before endotracheal intubation was not associated with significant hemodynamic changes in patients with severe traumatic brain injury.