Development of a Clinical Risk Score to Risk Stratify for a Serious Cause of Vertigo in Patients Presenting to the Emergency Department.

STUDY OBJECTIVE: Identify high-risk clinical characteristics for a serious cause of vertigo in patients presenting to the emergency department (ED). METHODS: Multicentre prospective cohort study over 3 years at three university-affiliated tertiary care EDs. Participants were patients presenting with vertigo, dizziness or imbalance. Main outcome measurement was an adjudicated serious diagnosis defined as stroke, transient ischemic attack, vertebral artery dissection or brain tumour. RESULTS: A total of 2,078 of 2,618 potentially eligible patients (79.4%) were enrolled (mean age 77.1 years; 59% women). Serious events occurred in 111 (5.3%) patients. We used logistic regression to create a 7-item prediction model: male, age over 65, hypertension, diabetes, motor/sensory deficits, cerebellar signs/symptoms and benign paroxysmal positional vertigo diagnosis (C-statistic 0.96, 95% confidence interval [CI] 0.92 to 0.98). The risk of a serious diagnosis ranged from 0% for a score of <5, 2.1% for a score of 5 to 8, and 41% for a score >8. Sensitivity for a serious diagnosis was 100% (95% CI, 97.1% to 100%) and specificity 72.1% (95% CI, 70.1% to 74%) for a score <5. CONCLUSION: The Sudbury Vertigo Risk Score identifies the risk of a serious diagnosis as a cause of a patient's vertigo and if validated could assist physicians in guiding further investigation, consultation, and treatment decisions, improving resource utilization and reducing missed diagnoses.

The HEARTRISK6 Scale: Predicting Short-Term Serious Outcomes in Emergency Department Acute Heart Failure Patients.

Background: Acute heart failure (AHF) is a common emergency department (ED) presentation that may have poor outcomes but often does not require hospital admission. There is little evidence to guide dispositional decisions. Objectives: The authors sought to create a risk score for predicting short-term serious outcomes (SSO) in patients with AHF. Methods: We pooled data from 3 prospective cohorts: 2 published studies and 1 new cohort. The 3 cohorts prospectively enrolled patients who required treatment for AHF at 10 tertiary care hospital EDs. The primary outcome was SSO, defined as death <30 days, intubation or noninvasive ventilation (NIV), myocardial infarction, or relapse to ED <14 days. The logistic regression model evaluated 13 predictors, used an AIC-based step-down procedure, and bootstrapped internal validation. Results: Of the 2,246 patients in the 3 cohorts (N = 559; 1,100; 587), the mean age was 77.4 years, 54.5% were male, 3.1% received intravenous nitroglycerin, 5.2% received ED NIV, and 48.6% were admitted to the hospital. There were 281 (12.5%) SSOs including 70 deaths (3.1%) with many in discharged patients. The final HEARTRISK6 Scale included 6 variables: valvular heart disease, tachycardia, need for NIV, creatinine, troponin, and failed reassessment (walk test). Choosing HEARTRISK6 total-point admission thresholds of ≥1 or ≥2 would yield, respectively, sensitivities of 88.3% (95% CI: 83.9%-91.8%) and 71.5% (95% CI: 65.9%-76.7%) and specificities of 24.7% (95% CI: 22.8%-26.7%) and 50.1% (95% CI: 47.9%-52.4%) for SSO. Conclusions: Using 3 large prospectively collected datasets, we created a concise and sensitive risk scale for patients with AHF in the ED. Implementation of the HEARTRISK6 scale could lead to safer and more efficient disposition decisions.

Opioid prescribing requirements to minimize unused medications after an emergency department visit for acute pain: a prospective cohort study.

BACKGROUND: Unused opioid prescriptions can be a driver of opioid misuse. Our objective was to determine the optimal quantity of opioids to prescribe to patients with acute pain at emergency department discharge, in order to meet their analgesic needs while limiting the amount of unused opioids. METHODS: In a prospective, multicentre cohort study, we included consecutive patients aged 18 years and older with an acute pain condition present for less than 2 weeks who were discharged from emergency department with an opioid prescription. Participants completed a pain medication diary for real-time recording of quantity, doses, and names of all analgesics consumed during a 14-day follow-up period. RESULTS: We included 2240 participants, who had a mean age of 51 years; 48% were female. Over 14 days, participants consumed a median of 5 (quartiles, 1-14) morphine 5 mg tablet equivalents, with significant variation across pain conditions (p < 0.001). Most opioid tablets prescribed (63%) were unused. To meet the opioid need of 80% of patients for 2 weeks, we found that those experiencing renal colic or abdominal pain required fewer opioid tablets (8 morphine 5 mg tablet equivalents) than patients who had fractures (24 tablets), back pain (21 tablets), neck pain (17 tablets), or other musculoskeletal pain (16 tablets). INTERPRETATION: Two-thirds of opioid tablets prescribed at emergency department discharge for acute pain were unused, whereas opioid requirements varied significantly based on the cause of acute pain. Smaller, cause-specific opioid prescriptions could provide adequate pain management while reducing the risk of opioid misuse. TRIAL REGISTRATION: ClinicalTrials.gov, no. NCT03953534.

Decreased patient discharges on weekends: part 2-what do the ward nurses tell us?

BACKGROUND: Hospital and emergency department (ED) crowding is exacerbated on Mondays because fewer in-patients are discharged during the weekend. We evaluated the experiences and attitudes of in-patient ward nurses to better understand the challenges they face when considering the weekend discharge of their patients. METHODS: We conducted a qualitative study of in-patient ward nurses, using the theoretical domains framework (TDF), at two campuses of a major academic health sciences centre. The interview guides consisted of, first, a series of questions to explore the typical processes involved for safe patient discharges and, second, exploration of the influence of the 14 TDF domains. All interviews were audio-recorded, transcribed verbatim, and anonymized and then imported into NVivo qualitative software for data management and analysis. Analysis was conducted in three stages (coding, generation of specific beliefs, identification of relevant and nonrelevant domains). RESULTS: The 28 interviewed nurses represented a variety of medical, surgical and other wards, and reported being acutely aware of the pressures to discharge patients on weekends (knowledge). They believed that increasing weekend discharges would improve hospital flow and aid in decanting the ED (beliefs about consequences). However, they also acknowledged that the weekend discharge pressures might result in patients being discharged prematurely and bouncing back to the hospital (beliefs about consequences). Overall, the nurses reported that as a hospital culture, discharging patients was not much of a priority (goals; environmental context and resources). CONCLUSION: We know there are much fewer discharges on weekends, and this is associated with significant hospital and ED crowding on Mondays. This study has illuminated the many challenges faced by in-patient ward nurses when considering the discharge of admitted patients on weekends. In order to decrease ED and hospital crowding related to decreased weekend discharges, hospitals will need to effect a culture change amongst all staff.

ABSTRAIT: CONTEXTE: Le surpeuplement des hôpitaux et des services d'urgence (SU) est exacerbé le lundi parce que moins de patients hospitalisés sont libérés pendant la fin de semaine. Nous avons évalué les expériences et les attitudes des infirmières en salle afin de mieux comprendre les défis auxquels elles font face lorsqu'elles envisagent le congé de fin de semaine de leurs patients. MéTHODES: Nous avons mené une étude qualitative sur les infirmières en salle, en utilisant le cadre des domaines théoriques (TDF), sur deux campus d'un grand centre universitaire des sciences de la santé. Les guides d'entrevue ont consisté, d'une part, en une série de questions visant à explorer les processus typiques de sortie sécuritaire des patients et, d'autre part, en une exploration de l'influence des 14 domaines du TDF. Toutes les entrevues ont été enregistrées, transcrites mot à mot et rendues anonymes, puis importées dans le logiciel qualitatif NVivo pour la gestion et l'analyse des données. L'analyse a été menée en trois étapes (codage, génération de croyances spécifiques, identification de domaines pertinents et non pertinents). RéSULTATS: Les 28 infirmières interrogées représentaient une variété de services médicaux, chirurgicaux et autres, et ont déclaré être très conscientes des pressions exercées sur les patients pour qu'ils quittent la clinique les fins de semaine (connaissance). Ils croyaient que l'augmentation des congés de fin de semaine améliorerait le flux hospitalier et aiderait à décanter le DE (croyances sur les conséquences). Cependant, ils ont également reconnu que les pressions de sortie du week-end pourraient entraîner le renvoi prématuré des patients à l'hôpital (croyances sur les conséquences). Dans l'ensemble, les infirmières ont indiqué qu'en tant que culture hospitalière, le congé des patients n'était pas une grande priorité (objectifs ; contexte environnemental et ressources). CONCLUSION: Nous savons qu'il y a beaucoup moins de congés la fin de semaine, et cela est associé à un grand nombre d'hôpitaux et de services d'urgence le lundi. Cette étude a mis en lumière les nombreux défis auxquels font face les infirmières en salle lorsqu'elles envisagent de quitter les patients admis les fins de semaine. Afin de réduire le surpeuplement des urgences et des hôpitaux liés à la diminution des congés de fin de semaine, les hôpitaux devront effectuer un changement de culture parmi tout le personnel.

Decreased patient discharges on weekends part 1: what do the data tell us?

BACKGROUND: We believe that hospital and emergency department (ED) crowding is exacerbated on Mondays because fewer in-patients are discharged on the weekend. In part 1 of 3 concurrent studies, we documented the number of weekend discharges and the extent of hospital and ED crowding on the days following weekends. METHODS: We conducted a data analysis study at The Ottawa Hospital, a major academic health sciences center with two EDs. We created reports of the 18-month period (January 1, 2022-June 30, 2023) regarding the status of in-patients at the two campuses. We compared the total admissions, discharges, and hospital occupancy on weekends (or long weekends), the Monday following weekends (or Tuesday following long weekends), or Tuesdays-Fridays. For these three time periods, we also compared the proportion of ED beds occupied by admitted patients to all ED beds, as well as the proportion of days with > 70% admitted patients housed in the ED at 8:00am. RESULTS: Our data for 55,692 patients demonstrated that on weekends compared to weekdays, there were almost 50% fewer discharges with the ratio of admissions to discharges averaging 1.16 (95% CI 1.10-1.22). This was accompanied by a 2.4% absolute increase (P < 0.001) in hospital occupancy on Mondays or Tuesdays, often exceeding 100%. Both EDs are particularly crowded on these Mondays and Tuesdays with the proportion of admitted patients to regular ED beds averaging 68%. We observed serious crowding with > 70% occupancy with admitted patients on almost 50% of Mondays. INTERPRETATION: We have demonstrated that there are much fewer discharges on weekends, and this is associated with significant hospital and ED crowding on Mondays. This blocks safe and timely access to beds for newly arriving patients in the ED. These results should spur Canadian hospitals to evaluate their own data and seek solutions to this important problem.

ABSTRAIT: CONTEXTE: Nous croyons que le surpeuplement des hôpitaux et des services d'urgence (SU) est exacerbé le lundi parce que moins de patients hospitalisés reçoivent leur congé le week-end. Dans la partie 1 de trois études simultanées, nous avons documenté le nombre de congés de fin de semaine et l'ampleur du surpeuplement des hôpitaux et des urgences les jours suivants. MéTHODES: Nous avons mené une étude d'analyse des données à l'Hôpital d'Ottawa, un important centre universitaire des sciences de la santé qui compte deux urgences. Nous avons créé des rapports sur la période de 18 mois (du 1er janvier 2022 au 30 juin 2023) concernant l'état des patients hospitalisés sur les deux campus. Nous avons comparé le total des admissions, des sorties et de l'occupation de l'hôpital les fins de semaine (ou les longues fins de semaine), le lundi suivant les fins de semaine (ou le mardi suivant les longues fins de semaine) ou les mardis et vendredis. Pour ces trois périodes, nous avons également comparé la proportion de lits d'urgence occupés par des patients admis à tous les lits d'urgence, ainsi que la proportion de jours avec plus de 70 % de patients admis logés à l'urgence à 8 h. RéSULTATS: Nos données pour 55692 patients ont démontré que les week-ends par rapport aux jours de semaine, il y avait près de 50% moins de sorties avec un ratio d'admissions par rapport aux sorties de 1,16 (IC à 95% 1,10-1,22). Cela s'est accompagné d'une augmentation absolue de 2,4 % (p<0,001) de l'occupation des hôpitaux le lundi ou le mardi, souvent supérieure à 100 %. Les deux urgences sont particulièrement bondées ces lundis et mardis, la proportion de patients admis dans les lits réguliers d'urgence s'établissant en moyenne à 68 %. Nous avons observé un surpeuplement sérieux avec >70% d'occupation chez les patients admis sur près de 50% des lundis. INTERPRéTATION: Nous avons démontré qu'il y a beaucoup moins de congés la fin de semaine, ce qui est associé à une importante affluence d'hôpitaux et d'urgences le lundi. Cela bloque l'accès sécuritaire et rapide aux lits pour les patients nouvellement arrivés à l'urgence. Ces résultats devraient inciter les hôpitaux canadiens à évaluer leurs propres données et à chercher des solutions à ce problème important.

Decreased patient discharges on weekends part 3: what do the leaders tell us?

BACKGROUND: Emergency department (ED) crowding is a significant challenge to providing safe and quality care to patients. We know that hospital and ED crowding is exacerbated on Mondays because fewer in-patients are discharged on the weekend. We evaluated barriers and potential solutions to improve in-patient flow and diminished weekend discharges, in hopes of decreasing the severe ED crowding observed on Mondays. METHODS: In this observational study, we conducted interviews of (a) leaders at The Ottawa Hospital, a major academic health sciences centre (nursing, allied health, physicians), and (b) leaders of community facilities (long-term care and chronic hospital) that receive patients from the hospital, and (c) home care. Each interview was conducted individually and addressed perceived barriers to the discharge of hospital in-patients on weekends as well as potential solutions. An inductive thematic analysis was conducted whereby themes were organized into a summary table of barriers and solutions. RESULTS: We interviewed 40 leaders including 30 nursing, physician, and allied health leaders from the hospital as well as 10 senior personnel from community facilities and home care. Many barriers to weekend discharges were identified, highlighting that this problem is complex with many interdependent internal and external factors. Fortunately, many specific potential solutions were suggested, in immediate, short-term and long-term time horizons. While many solutions require additional resources, others require a culture change whereby hospital and community stakeholders recognize that services must be provided consistently, seven days a week. INTERPRETATION: We have identified the complex and interdependent barriers to weekend discharges of in-patients. There are numerous specific opportunities for hospital staff and services, physicians, and community facilities to provide the same patient care on weekends as on weekdays. This will lead to improved patient flow and safety, and to decreased ED crowding on Mondays.

ABSTRAIT: CONTEXTE: Le surpeuplement des services d'urgence (SU) est un défi important pour fournir des soins sécuritaires et de qualité aux patients. Nous savons que le surpeuplement des hôpitaux et des urgences est exacerbé le lundi parce que moins de patients hospitalisés reçoivent leur congé le week-end. Nous avons évalué les obstacles et les solutions potentielles pour améliorer le flux de patients hospitalisés et diminuer les congés de fin de semaine, dans l'espoir de réduire le surpeuplement sévère observé le lundi. MéTHODES: Dans cette étude observationnelle, nous avons interviewé (a) des dirigeants de l'Hôpital d'Ottawa, un important centre universitaire des sciences de la santé (soins infirmiers, soins paramédicaux, médecins), et (b) des dirigeants d'établissements communautaires (soins de longue durée et hôpitaux de soins chroniques) qui reçoivent des patients de l'hôpital et (c) des soins à domicile. Chaque entrevue a été menée individuellement et a abordé les obstacles perçus au congé des patients hospitalisés le week-end ainsi que les solutions potentielles. Une analyse thématique inductive a été menée, dans le cadre de laquelle les thèmes ont été organisés en un tableau récapitulatif des obstacles et des solutions RéSULTATS: Nous avons interviewé 40 dirigeants, dont 30 chefs de file des soins infirmiers, des médecins et des professions paramédicales de l'hôpital, ainsi que 10 cadres supérieurs d'établissements communautaires et de soins à domicile. De nombreux obstacles aux congés de fin de semaine ont été cernés, ce qui souligne que ce problème est complexe et qu'il comporte de nombreux facteurs internes et externes interdépendants. Heureusement, de nombreuses solutions potentielles spécifiques ont été proposées, à court terme et à long terme. Bien que de nombreuses solutions exigent des ressources supplémentaires, d'autres exigent un changement de culture par lequel les intervenants hospitaliers et communautaires reconnaissent que les services doivent être fournis de façon uniforme, sept jours par semaine. INTERPRéTATION: Nous avons identifié les obstacles complexes et interdépendants aux sorties de fin de semaine des patients hospitalisés. Il existe de nombreuses possibilités précises pour le personnel et les services hospitaliers, les médecins et les établissements communautaires d'offrir les mêmes soins aux patients les fins de semaine que les jours de semaine. Cela permettra d'améliorer la circulation et la sécurité des patients, et de réduire le surpeuplement des urgences le lundi.

Evaluation of a prehospital endovascular therapy stroke bypass program.

INTRODUCTION: Prehospital stroke endovascular therapy bypass transports patients with suspected large vessel occlusion directly to an endovascular therapy capable center. Our objective was to determine if an endovascular therapy bypass protocol improved access to stroke treatments. Secondary objectives were to determine safety, effectiveness, and rate of subsequent interfacility transfers. METHODS: Endovascular therapy bypass in 2018 was implemented in Eastern Ontario, for patients with a Los-Angeles-Motor-Scale ≥ 4 (positive large vessel occlusion screen) with a 90-min transport time if < 6 h from last seen well. A before-after health record review was conducted from Dec 1, 2017 to Nov 30, 2019. A piloted data form was used to extract demographics, times, primary outcomes (endovascular therapy and intravenous (IV) tissue plasminogen activator (tPA) rate), and secondary outcomes (redirect to closer hospital, airway intervention, and subsequent interfacility transfer). We present descriptive statistics and odds ratios (OR) with 95% confidence intervals (CI) from multivariable logistic regression. RESULTS: We included 379 stroke patients (165 pre and 214 post-implementation). The endovascular therapy rate between groups was similar (14.1% vs 15.1%). The bypass had an OR of 0.98 (95% CI 0.54-1.78) for receiving endovascular therapy. IV tPA was given to 25.4% of patients pre vs 27.4% post-implementation (OR 1.06, 95% CI 0.65-1.74). No patients became unstable during transport, only one patient had an intubation attempt. The inappropriate bypass (false positive) rate was 12.7% pre vs 12.8% post-implementation (positive predictive value 87%). The bypass protocol had an OR of 1.06 (95% CI 0.58-1.95) for subsequent interfacility transfer with a mean of 2.7 h at the community site before transfer. CONCLUSIONS: Endovascular therapy stroke bypass with 90-min transport radius and Los-Angeles-Motor-Scale ≥ 4 was safe and well executed by paramedics. Our study did not show any difference in endovascular therapy rate from its implementation. The IV tPA rate was similar between groups despite potentially bypassing thrombolysis capable centers.

ABSTRAIT: INTRODUCTION: Le pontage de la thérapie endovasculaire pré-hospitalière transporte les patients présentant une occlusion suspectée de gros vaisseaux directement vers un centre capable de thérapie endovasculaire. Notre objectif était de déterminer si un protocole de pontage endovasculaire améliore l'accès aux traitements d'AVC. Les objectifs secondaires étaient de déterminer l'innocuité, l'efficacité et le taux des transferts d'interfacilité subséquents. MéTHODES: Le pontage par thérapie endovasculaire en 2018 a été mis en œuvre dans l'Est de l'Ontario, pour les patients ayant un test Los-Angeles-Motor-Scale 4 (test positif d'occlusion des gros vaisseaux) avec un temps de transport de 90 minutes si < 6 heures après la dernière observation. Un examen du dossier de santé avant-après a été effectué du 1er décembre 2017 au 30 novembre 2019. Un formulaire de données pilote a été utilisé pour extraire les données démographiques, les heures, les résultats primaires (traitement endovasculaire et taux d'activation du plasminogène par voie intraveineuse (IV) et les résultats secondaires (réorientation vers un hôpital plus proche, intervention sur les voies respiratoires et transfert d'interfacilité subséquent). Nous présentons des statistiques descriptives et des rapports de cotes (RC) avec des intervalles de confiance (IC) à 95 % à partir d'une régression logistique multivariée. RéSULTATS: Nous avons inclus 379 AVC (165 avant et 214 après la mise en œuvre). Le taux de traitement endovasculaire entre les groupes était similaire (14,1 % vs 15,1 %). Le pontage avait un RC de 0,98 (IC à 95 %, 0,54-1,78) pour le traitement endovasculaire. Le tPA IV a été administré à 25,4% des patients avant vs 27,4% après la mise en œuvre (OR 1,06, 95%CI 0,65-1,74). Aucun patient n'est devenu instable pendant le transport, seulement 1 patient a eu une tentative d'intubation. Le taux de pontage inapproprié (faux positif) était de 12,7 % avant et de 12,8 % après la mise en œuvre (valeur prédictive positive de 87 %). Le protocole de contournement avait un RC de 1,06 (IC à 95 % 0,58-1,95) pour le transfert d'interfacilité ultérieur avec une moyenne de 2,7 heures sur le site de la communauté avant le transfert. CONCLUSIONS: Le pontage d'AVC de thérapie endovasculaire avec un rayon de transport de 90 minutes et Los-Angeles-Motor-Scale 4 était sûr et bien exécuté par les ambulanciers. Notre étude n'a montré aucune différence dans le taux de thérapie endovasculaire par rapport à sa mise en œuvre. Le taux de tPA IV était similaire entre les groupes malgré le fait que les centres capables de contourner la thrombolyse étaient potentiellement contournés.

Incidence and outcomes of emergency department patients requiring emergency general surgery: a 5-year retrospective cohort study.

AIMS: Patients undergoing emergency general surgery are at high risk of complications and death. Our objectives were to estimate the incidence of emergency general surgery in a Swiss University Hospital, to describe the characteristics and outcomes of patients undergoing such procedures, and to study the impact of age on clinical outcomes. METHODS: This was a retrospective cohort study of adult patients who visited the emergency department (ED) of Geneva University Hospitals between January 2015 and December 2019. Routinely collected data were extracted from electronic medical records. The primary outcome was the incidence of emergency general surgery among patients visiting the emergency department, defined as general surgery within three days of emergency department admission. We also assessed demographic characteristics, mortality, intensive care unit admission and patient disposition. Multivariable log-binomial regression was used to study the associations of age with intensive care unit (ICU) admission, one-year mortality and dependence at discharge. Age was modelled as a continuous variable using restricted cubic splines and we compared older patients (75th percentile) with younger patients (25th percentile). RESULTS: Between January 2015 and December 2019, a total of 310,914 emergency department visits met our inclusion criteria. Among them, 3592 patients underwent emergency general surgery within 3 days of emergency department admission, yielding an annual incidence of 116 events per 10,000 emergency department visits (95% CI: 112-119), with a higher incidence in females and young patients. Overall, 5.3% of patients were admitted to ICU, 7.8% were dependent on rehabilitation or assisted living at discharge and 4.8% were dead after one year. Older patients had a higher risk of ICU admission (adjusted risk ratio (aRR) 2.9 [1.5-5.4]), dependence at discharge (aRR 15.3 [5.5-42.4]) and one-year mortality (aRR 5.4 [2.2-13.4]). CONCLUSION: Emergency department visits resulting in emergency general surgery are frequent, but their incidence decreases with patient age. Mortality, ICU admission and dependence at discharge following emergency general surgery are more frequent in older patients. Taking into account the increased risk for older patients, a shared process is appropriate for making more informed decisions about their options for care.

Pharmacological agents for procedural sedation and analgesia in the emergency department and intensive care unit: a systematic review and network meta-analysis of randomised trials.

BACKGROUND: We aimed to evaluate the comparative effectiveness and safety of various i.v. pharmacologic agents used for procedural sedation and analgesia (PSA) in the emergency department (ED) and ICU. We performed a systematic review and network meta-analysis to enable direct and indirect comparisons between available medications. METHODS: We searched Medline, EMBASE, Cochrane, and PubMed from inception to 2 March 2023 for RCTs comparing two or more procedural sedation and analgesia medications in all patients (adults and children >30 days of age) requiring emergent procedures in the ED or ICU. We focused on the outcomes of sedation recovery time, patient satisfaction, and adverse events (AEs). We performed frequentist random-effects model network meta-analysis and used the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach to rate certainty in estimates. RESULTS: We included 82 RCTs (8105 patients, 78 conducted in the ED and four in the ICU) of which 52 studies included adults, 23 included children, and seven included both. Compared with midazolam-opioids, recovery time was shorter with propofol (mean difference 16.3 min, 95% confidence interval [CI] 8.4-24.3 fewer minutes; high certainty), and patient satisfaction was better with ketamine-propofol (mean difference 1.5 points, 95% CI 0.3-2.6 points, high certainty). Regarding AEs, compared with midazolam-opioids, respiratory AEs were less frequent with ketamine (relative risk [RR] 0.55, 95% CI 0.32-0.96; high certainty), gastrointestinal AEs were more common with ketamine-midazolam (RR 3.08, 95% CI 1.15-8.27; high certainty), and neurological AEs were more common with ketamine-propofol (RR 3.68, 95% CI 1.08-12.53; high certainty). CONCLUSION: When considering procedural sedation and analgesia in the ED and ICU, compared with midazolam-opioids, sedation recovery time is shorter with propofol, patient satisfaction is better with ketamine-propofol, and respiratory adverse events are less common with ketamine.

Test Characteristics of Emergency Medicine-Performed Point-of-Care Ultrasound for the Diagnosis of Acute Cholecystitis: A Systematic Review and Meta-analysis.

Acute cholecystitis accounts for up to 9% of hospital admissions for acute abdominal pain, and best practice entails early surgical management. Ultrasound is the standard modality used to confirm diagnosis. Our objective was to perform a systematic review and meta-analysis to determine the diagnostic accuracy of emergency physician-performed point-of-care ultrasound for the diagnosis of acute cholecystitis when compared with a reference standard of final diagnosis (informed by available surgical pathology, discharge diagnosis, and radiology-performed ultrasound). We completed a systematic review and meta-analysis, registered in PROSPERO, in adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched 7 databases as well as gray literature in the form of select conference abstracts from inception to February 8, 2023. Two independent reviewers completed study selection, data extraction, and risk of bias (QUADAS-2) assessment. Disagreements were resolved by consensus with a third reviewer. Data were extracted from eligible studies to create 2 × 2 tables for diagnostic accuracy meta-analysis. Hierarchical Summary Receiver Operating Characteristic models were constructed. Of 1855 titles/abstracts, 40 were selected for full-text review. Ten studies (n=2356) were included. Emergency physician-performed point-of-care ultrasound with final diagnosis as the reference standard (7 studies, n=1,772) had a pooled sensitivity of 70.9% (95% confidence interval [CI] 62.3 to 78.2), specificity of 94.4% (95% CI 88.2 to 97.5), positive likelihood ratio of 12.7 (5.8 to 27.5), and negative likelihood ratio of 0.31 (0.23 to 0.41) for the diagnosis of acute cholecystitis. Emergency physician-performed point-of-care ultrasound has high specificity and moderate sensitivity for the diagnosis of acute cholecystitis in patients with clinical suspicion. This review supports the use of emergency physician-performed point-of-care ultrasound to rule in a diagnosis of acute cholecystitis in the emergency department, which may help expedite definitive management.

Lack of association between four biomarkers and persistent post-concussion symptoms after a mild traumatic brain injury.

Approximately 15 % of individuals who sustained a mild Traumatic Brain Injury (TBI) develop persistent post-concussion symptoms (PPCS). We hypothesized that blood biomarkers drawn in the Emergency Department (ED) could help predict PPCS. The main objective of this project was to measure the association between four biomarkers and PPCS at 90 days post mild TBI. We conducted a prospective cohort study in seven Canadian EDs. Patients aged ≥ 14 years presenting to the ED within 24 h of a mild TBI who were discharged were eligible. Clinical data and blood samples were collected in the ED, and a standardized questionnaire was administered 90 days later to assess the presence of symptoms. The following biomarkers were analyzed: S100B protein, Neuron Specific Enolase (NSE), cleaved-Tau (c-Tau) and Glial Fibrillary Acidic Protein (GFAP). The primary outcome measure was the presence of PPCS at 90 days after trauma. Relative risks and Areas Under the Curve (AUC) were computed. A total of 595 patients were included, and 13.8 % suffered from PPCS at 90 days. The relative risk of PPCS was 0.9 (95 % CI: 0.5-1.8) for S100B ≥ 20 pg/mL, 1.0 (95 % CI: 0.6-1.5) for NSE ≥ 200 pg/mL, 3.4 (95 % CI: 0.5-23.4) for GFAP ≥ 100 pg/mL, and 1.0 (95 % CI: 0.6-1.8) for C-Tau ≥ 1500 pg/mL. AUC were 0.50, 0.50, 0.51 and 0.54, respectively. Among mild TBI patients, S100B protein, NSE, c-Tau or GFAP do not seem to predict PPCS. Future research testing of other biomarkers is needed to determine their usefulness in predicting PPCS.

Comparing methods to classify admitted patients with SARS-CoV-2 as admitted for COVID-19 versus with incidental SARS-CoV-2: A cohort study.

INTRODUCTION: Not all patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection develop symptomatic coronavirus disease 2019 (COVID-19), making it challenging to assess the burden of COVID-19-related hospitalizations and mortality. We aimed to determine the proportion, resource utilization, and outcomes of SARS-CoV-2 positive patients admitted for COVID-19, and assess the impact of using the Center for Disease Control's (CDC) discharge diagnosis-based algorithm and the Massachusetts state department's drug administration-based classification system on identifying admissions for COVID-19. METHODS: In this retrospective cohort study, we enrolled consecutive SARS-CoV-2 positive patients admitted to one of five hospitals in British Columbia between December 19, 2021 and May 31,2022. We completed medical record reviews, and classified hospitalizations as being primarily for COVID-19 or with incidental SARS-CoV-2 infection. We applied the CDC algorithm and the Massachusetts classification to estimate the difference in hospital days, intensive care unit (ICU) days and in-hospital mortality and calculated sensitivity and specificity. RESULTS: Of 42,505 Emergency Department patients, 1,651 were admitted and tested positive for SARS-CoV-2, with 858 (52.0%, 95% CI 49.6-54.4) admitted for COVID-19. Patients hospitalized for COVID-19 required ICU admission (14.0% versus 8.2%, p<0.001) and died (12.6% versus 6.4%, p<0.001) more frequently compared with patients with incidental SARS-CoV-2. Compared to case classification by clinicians, the CDC algorithm had a sensitivity of 82.9% (711/858, 95% CI 80.3%, 85.4%) and specificity of 98.1% (778/793, 95% CI 97.2%, 99.1%) for COVID-19-related admissions and underestimated COVID-19 attributable hospital days. The Massachusetts classification had a sensitivity of 60.5% (519/858, 95% CI 57.2%, 63.8%) and specificity of 78.6% (623/793, 95% CI 75.7%, 81.4%) for COVID-19-related admissions, underestimating total number of hospital and ICU bed days while overestimating COVID-19-related intubations, ICU admissions, and deaths. CONCLUSION: Half of SARS-CoV-2 hospitalizations were for COVID-19 during the Omicron wave. The CDC algorithm was more specific and sensitive than the Massachusetts classification, but underestimated the burden of COVID-19 admissions. TRIAL REGISTRATION: Clinicaltrials.gov, NCT04702945.