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Treatment of acute pain after emergency department (ED) discharge remains a challenge in the opioid crisis context. Our objective was to determine the proportion of patients using opioid vs non-opioid pain medication following discharge from the ED with acute pain, and the association of type of pain medication with average pain intensity before pain medication intake and report of pain relief.This was a prospective cohort study of ED patients aged ≥ 18 years with an acute pain (≤ 2 weeks) who were discharged with an opioid prescription. Patients completed a 14-day diary assessing daily pain intensity level before each pain medication intake (0-10 numeric rating scale), type of pain medication use (opioid vs non-opioid), and if pain was relieved by the medication used that day. Multilevel analyses were used to compare the effect of type of analgesic used on pain intensity and relief.A total of 381 participants completed the 14-day diary; 50% were women and median age was 54 years (IQR = 43-66). Average daily pain intensity before pain medication intake was significantly higher for patients who used opioids (5.9; 95% CI 5.7-6.2) as compared to non-opioid analgesics (4.2; 95% CI 4.0-4.5) or no pain medication (2.2; 95% CI 1.9-2.5). Controlling for pain intensity, patients using opioids were more likely to report a pain relief (OR = 1.3; 95% CI 1.1-1.8) as compared to those who used non-opioid analgesics.Overall, opioids appear to be effective and used as intended by the prescribing physician.RéSUMé: OBJECTIFS: Le traitement de la douleur aiguë après la sortie des départements d’urgence (DU) reste un défi dans le contexte de la crise des opioïdes. Notre objectif était de déterminer la proportion de patients utilisant des analgésiques opioïdes par rapport aux analgésiques non opioïdes après leur sortie des urgences avec une douleur aiguë, et l'association du type d'analgésique avec l'intensité moyenne de la douleur avant la prise d'analgésiques et le soulagement de la douleur rapporté. LES MéTHODES: Il s'agissait d'une étude de cohorte prospective de patients (DU) âgés de ≥18 ans souffrant de douleurs aiguës (≤ 2 semaines) et ayant reçu une ordonnance d'opioïdes à leur sortie de l'hôpital. Les patients ont rempli un journal de 14 jours évaluant le niveau d'intensité de la douleur quotidienne avant chaque prise de médicaments anti-douleur (échelle d'évaluation numérique de 0 à 10), le type d'utilisation des médicaments anti-douleur (opioïdes contre non opioïdes), et si la douleur était soulagée par les médicaments utilisés ce jour-là. Des analyses multiniveaux ont été utilisées pour comparer l'effet du type d'analgésique utilisé sur l'intensité et le soulagement de la douleur. RéSULTATS: Au total, 381 participants ont rempli le journal de 14 jours; 50% étaient des femmes et l'âge médian était de 54 ans (EI = 43–66). L'intensité moyenne de la douleur quotidienne avant la prise d'analgésiques était significativement plus élevée chez les patients qui prenaient des opioïdes (5.9; 95% IC: 5.7–6.2) par rapport aux analgésiques non opioïdes (4.2; 95% IC: 4.0–4.5) ou à l'absence d'analgésiques (2.2; 95% IC: 1.9–2.5). En contrôlant l'intensité de la douleur, les patients utilisant des opioïdes étaient plus susceptibles de déclarer un soulagement de la douleur (OR = 1.3; 95% CI: 1.1−1.8) par rapport à ceux qui utilisaient des analgésiques non opioïdes. CONCLUSION: Dans l'ensemble, les opioïdes semblent être efficaces et utilisés comme prévu par le médecin prescripteur.

STUDY OBJECTIVE: To synthesize the evidence regarding the infection risk associated with different modalities of oxygen therapy used in treating patients with severe acute respiratory infection. Health care workers face significant risk of infection when treating patients with a viral severe acute respiratory infection. To ensure health care worker safety and limit nosocomial transmission of such infection, it is crucial to synthesize the evidence regarding the infection risk associated with different modalities of oxygen therapy used in treating patients with severe acute respiratory infection. METHODS: MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched from January 1, 2000, to April 1, 2020, for studies describing the risk of infection associated with the modalities of oxygen therapy used for patients with severe acute respiratory infection. The study selection, data extraction, and quality assessment were performed by independent reviewers. The primary outcome measure was the infection of health care workers with a severe acute respiratory infection. Random-effect models were used to synthesize the extracted data. RESULTS: Of 22,123 citations, 50 studies were eligible for qualitative synthesis and 16 for meta-analysis. Globally, the quality of the included studies provided a very low certainty of evidence. Being exposed or performing an intubation (odds ratio 6.48; 95% confidence interval 2.90 to 14.44), bag-valve-mask ventilation (odds ratio 2.70; 95% confidence interval 1.31 to 5.36), and noninvasive ventilation (odds ratio 3.96; 95% confidence interval 2.12 to 7.40) were associated with an increased risk of infection. All modalities of oxygen therapy generate air dispersion. CONCLUSION: Most modalities of oxygen therapy are associated with an increased risk of infection and none have been demonstrated as safe. The lowest flow of oxygen should be used to maintain an adequate oxygen saturation for patients with severe acute respiratory infection, and manipulation of oxygen delivery equipment should be minimized.

Objective Opioid side effects are common when treating chronic pain. However, the frequency of opioid side effects has rarely been examined in acute pain conditions, particularly in a post emergency department (ED) setting. The objective of this study was to evaluate the short-term incidence of opioid-induced side effects (constipation, nausea/vomiting, dizziness, drowsiness, sweating, and weakness) in patients discharged from the ED with an opioid prescription. Methods This is a prospective cohort study of patients aged ≥18 years who visited the ED for an acute pain condition (≤2 weeks) and were discharged with an opioid prescription. Patients completed a 14-day diary assessing daily pain medication use and side effects. Results We recruited 386 patients with a median age of 54 years (IQR:43–66); 50% were women. During the 2-week follow-up, 80% of patients consumed opioids. Among the patients who used opioids, 79% (95%CI:75–83) reported side effects compared to 38% (95%CI:27–49) for non-users. Adjusting for age, sex, and pain condition, patients who used opioids were more likely to report constipation (OR:7.5; 95%CI:3.1–17.9), nausea/vomiting (OR:4.1; 95%CI:1.8–9.5), dizziness (OR:5.4; 95%CI: 2.2–13.2), drowsiness (OR:4.6; 95%CI:2.5–8.7), and weakness (OR:4.2; 95%CI:1.6–11.0) compared to non-users. A dose-response trend was observed for constipation but not for the other side effects. Nausea/vomiting (OR:2.0; 95%CI:1.1–3.6) and dizziness (OR:1.9; 95%CI:1.1–3.4) were more often associated with oxycodone than with morphine. Conclusion As observed for chronic pain treatment, side effects are highly prevalent during short-term opioid treatment for acute pain. Physicians should inform patients about those side effects and should consider prescribing laxatives.

Background There is variability in the management of patients presenting to the emergency department (ED) with mild traumatic brain injury (MTBI) and abnormal findings on their initial head computed tomography (CT). The main objective of this study was to validate the value of the Important Brain Injury (IBI) criteria, introduced by the Canadian CT-Head Rule, in predicting the need for surgical intervention. The secondary objective was to identify independent predictors for neurosurgical intervention. Methods This is a post hoc analysis of a prospective cohort of adult patients presenting to the ED of one tertiary care, academic center, between 2008 and 2012, with MTBI and an abnormal initial head CT. Neurosurgical intervention was at the discretion of the treating physician. The sensitivity and specificity of the IBI criteria were calculated with 95% confidence intervals (CI95%). A multivariate logistic regression model was used to identify independent predictors for neurosurgical intervention with the direct entry method. Results A total of 678 patients (male = 65.9%, mean age = 62.5 years) were included, of whom 114 (16.8%) required neurosurgical intervention. All patients requiring neurosurgical intervention met IBI criteria on their initial head CT (sensitivity of 100% [CI95% 96.8–100]). However, 368 (65.2%) patients with findings of IBI did not require neurosurgical intervention (specificity of 34.8% [CI95% 30.8–38.8]). Age over 65 was independently associated with neurosurgical intervention in the IBI population. Conclusion The IBI criteria for MTBI identified all patients who required neurosurgical intervention; however its specificity is low.

Study objective The objective of the study is to evaluate the acute pain intensity evolution in emergency department (ED) discharged patients, using group-based trajectory modeling. This method identifies patient groups with similar profiles of change over time without assuming the existence of a particular pattern or number of groups. Methods This was a prospective cohort study of ED patients aged 18 years or older, with an acute pain condition (≤2 weeks), and discharged with an opioid prescription. Patients completed a 14-day diary assessing daily pain intensity level (numeric rating scale of 0 to 10) and pain medication use. Results Among the 372 included patients, 6 distinct post-ED pain intensity trajectories were identified. Two started with severe levels of pain; one remained with severe pain intensity (12.6% of the sample) and the other ended with a moderate pain intensity level (26.3%). Two other trajectories had severe initial pain; one decreased to mild pain (21.7%) and the other to no pain (13.8%). Another trajectory had moderate initial pain that decreased to a mild level (15.9%) and the last one started with mild pain intensity and had no pain at the end of the 14-day period (9.7%). The pain trajectory patterns were significantly associated with age, type of painful conditions, pain intensity at ED discharge, and opioid consumption. Conclusion Acute pain resolution after an ED visit seems to progress through 6 different trajectory patterns that are more informative than simple linear models and could be useful to adapt acute pain management in future research.

Aims For out-of-hospital cardiac arrest (OHCA) patients, the influence of the delay before the initiation of resuscitation, termed the no-flow time (NFT), and duration of bystander-only resuscitation low-flow time (BLFT) on the type of electrical rhythm observed has not been well described. The objective of this study is to determine the relationship between NFT, BLFT and the likelihood of a shockable rhythm over time. Methods Using a North American prospective registry (2005–2015; mostly urban settings), we selected adult (18 years and over) patients who experienced a witnessed OHCA from a suspected cardiac etiology. Patients with an emergency medical services witnessed OHCA were only included in sensitivity analyses. The association between the NFT, BLFT and the presence of a shockable rhythm was evaluated using a multivariable logistic regression adjusting for the registry version, age, sex, and public location. Results A total of 229,632 patients were logged in the registry, 50,957 of whom were included. Of these, 17,704 (34.7%) had an initial shockable rhythm. After the first minute, a significant decrease over time in the occurrence of shockable rhythm is observed but is slower when bystander cardiopulmonary resuscitation (CPR) is provided (each supplemental minute of BLFT: adjusted odds ratio = 0.95, 95 %CI = 0.94–0.95; each supplemental minute of NFT: adjusted odds ratio = 0.91, 95 %CI = 0.90–0.91]). Conclusions In this large observational study, we were able to demonstrate that longer NFT were associated with lower odds of shockable presenting rhythms. Bystander CPR significantly mitigates the degradation of shockable rhythms over time, strengthening the need to improve bystander CPR rates around the world.

Introduction: Malgré les progrès au niveau des soins de réanimation lors des dernières années, le pronostic des patients souffrant d'un arrêt cardiorespiratoire (ACR) demeure abyssal et aucun médicament ne semble influencer leur devenir au long cours. Cependant, les résultats de quelques études évaluant l'impact des bêtabloqueurs chez cette population s'avèrent cependant très encourageants. L'objectif de cette revue systématique, est d’évaluer l’évidence disponible quant à l'impact des bêtabloqueurs sur le devenir des patients traités pour un ACR dont le rythme initial est défibrillable. Methods: La présente revue systématique a été préalablement enregistrée sur Prospero (CRD42018105453). Les moteurs de recherche Medline, Embase et CENTRAL ont été fouillés de leur création jusqu'au 17 octobre 2018. La recherche de littérature grise s'est faite via Web of Science et Google Scholar. Les références de tous les articles inclus ainsi que des méta-analyses existantes sur le sujet ont également été révisées. Tous les types de devis ont été considérés, sauf les études de cas et les séries de cas. Les études devaient inclure des adultes (16 ans et plus) en ACR dont le rythme initial était défibrillable, dont une partie avait reçu un médicament bêtabloquants par voie intraveineuse pendant leur ACR et l'autre un traitement standard, et présenter une mesure de résultat centrée sur le patient (retour de circulation spontanée [RCS], survie ou bon devenir neurologique). La qualité des articles a été évaluée à l'aide du ‘Newcastle Ottawa scale’. Results: Deux études observationnelles rétrospectives, menées auprès d'un total de 66 patients, ont été incluses. Il y avait une association positive entre l'administration de bêtabloquants et l'occurrence d'un RCS (rapport de cotes [RC] = 5.76 [intervalle de confiance {IC} à 95% = 1.79-18.52], p = 0.003), ainsi qu'avec la présence d'un bon devenir neurologique (RC = 4.42 [IC95% = 1.05 - 18.56], p = 0.04). Une telle association n'a cependant pas été observée par rapport à la survie au congé hospitalier. Conclusion: L'administration de bêtabloquants semble associé à un meilleur devenir chez les patients en ACR avec un rythme initial défibrillable. Étant donné la nature du devis de ces études et leur petite taille, une étude prospective de qualité serait nécessaire afin de déterminer l'efficacité de cette classe de médicament et de faire une recommandation forte à ce sujet.

ObjectivesInadequate acute pain management can reduce the quality of life, cause unnecessary suffering and can often lead to the development of chronic pain. Using group-based trajectory modelling, we previously identified six distinct pain intensity trajectories for the first 14-day postemergency department (ED) discharge; two linear ones with moderate or severe pain during follow-up (~40% of the patients) and four cubic polynomial order trajectories with mild or no pain at the end of the 14 days (low final pain trajectories). We assessed if previously described acute pain intensity trajectories over 14 days after ED discharge are predictive of chronic pain 3 months later.DesignProspective cohort study.SettingTertiary care trauma centre academic hospital.ParticipantsThis study included 18 years and older ED patients who consulted for acute (≤2 weeks) pain conditions that were discharged with an opioid prescription. Patients completed a 14-day diary in which they listed their daily pain intensity (0–10 numeric rating scale).OutcomesThree months after ED visit, participants were questioned by phone about their current pain intensity (0–10 numeric rating scale). Chronic pain was defined as patients with current pain intensity ≥4 at 3 months.ResultsA total of 305 participants remained in the study at 3 months, 49% were women and a mean age of 55±15 years. Twelve per cent (11.9; 95% CI 8.2 to 15.4) of patients had chronic pain at the 3-month follow-up. Controlling for age, sex and pain condition, patients with moderate or severe pain trajectories and those with only a severe pain trajectory were respectively 5.1 (95% CI 2.2 to 11.8) and 8.2 (95% CI 3.4 to 20.0) times more likely to develop chronic pain 3 months later compared with patients in the low final pain trajectories.ConclusionSpecific acute pain trajectories following an ED visit are closely related to the development of chronic pain 3 months later.Trial registration numberNCT02799004; Results.

Background Studies evaluating long-term prescription opioid use are retrospective and based on filled opioid prescriptions from governmental databases. These studies cannot evaluate if opioids were really consumed and are unable to differentiate if they were used for a new pain or chronic pain or were misused. The aim of this study was to assess opioid use rate and reasons for consuming 3 months after being discharged from the emergency department (ED) with an opioid prescription. Methods This is a prospective cohort study conducted in the ED of a tertiary care urban center with a convenience sample of discharged patients ≥ 18 years who consulted for an acute pain condition (≤2 weeks). Three months post-ED visit, participants were interviewed by phone on their past 2-week opioid consumption and their reasons for consuming: a) for pain related to the initial ED visit, b) for a new unrelated pain, or c) for another reason. Results Of the 524 participants questioned at 3 months (mean ± SD age = 51 ± 16 years, 47% women), 47 patients (9%, 95% confidence interval [CI] = 7%-12%) reported consuming opioids in the previous 2 weeks. Among those, 34 (72%) reported using opioids for their initial pain, nine (19%) for a new unrelated pain and four (9%) for another reason (0.8%, 95% CI = 0.3%-2.0%, of the whole cohort). Patients who used opioids during the 2 weeks after the ED visit were 3.8 (95% CI = 1.2-12.7) times more likely to consume opioids at 3 months. Conclusion Opioid use at the 3-month follow-up in ED patients discharged with an opioid prescription for an acute pain condition is not necessarily associated with opioid misuse; 91% of those patients consumed opioids to treat pain. Of the whole cohort, less than 1% reported using opioids for reasons other than pain. The rate of long-term opioid use reported by prescription-filling database studies should not be viewed as a proxy for incidence of opioid misuse.

Introduction: The objective of the study was to evaluate the acute pain intensity evolution in ED discharged patients using Group-based trajectory modeling (GBTM). This method identified patient groups with similar profiles of change over time without assuming the existence of a particular pattern or number of groups. Methods: This was a prospective cohort study of ED patients aged ≥18 years with an acute pain condition (≤ 2 weeks) and discharged with an opioid prescription. Patients completed a 14-day diary assessing daily pain intensity level (0-10 numeric rating scale) and pain medication use. Results: Among the 372 included patients, six distinct post-ED pain intensity trajectories were identified: two started with severe levels of pain, one remained with severe pain intensity (12.6% of the sample) and the other ended with moderate pain intensity level (26.3%). Two other trajectories had severe initial pain, one decreased to mild pain (21.7%) and the other to no-pain (13.8%). Another trajectory had moderate initial pain which decreased to a mild level (15.9%) and the last one started with mild pain intensity and had no pain at the end of the 14-day (9.7%). The pain trajectory patterns were significantly associated with age, type of painful conditions, pain intensity at ED discharge, and with opioid consumption. Conclusion: Acute pain resolution following an ED visit seems to progress through six different trajectory patterns that are more informative than simple linear models and could be useful to adapt acute pain management in future research.

Introduction: Opioid side effects are common when treating chronic pain. However, the rate of opioid side effects for acute pain has rarely been examined, particularly in the post emergency department (ED) setting. The objective of this study was to evaluate the short-term incidence of opioid induced side effects (constipation, nausea/vomiting, dizziness, and drowsiness) in patients discharged from the ED with an opioid prescription. Methods: This was a prospective cohort study of patients aged ≥18 years that visited the ED for an acute pain condition (≤ 2 weeks) and were discharged with an opioid prescription. Patients completed a 14-day diary assessing daily pain medication use and side effects. Results: Mean age of the 386 patients included was 55 ± 16 years; 50% were women. During the 2-week follow-up, 80% of patients consumed at least one dose of opioids. Among the patients who used opioids, 38% (95%CI: 33-48) reported constipation, 27% (95%CI:22-32) nausea/vomiting, 30% (95%CI:25-35) dizziness, 51% (95%CI:45-57) drowsiness, and 77% (95%CI:72-82) reported any side effects. Adjusting for age, sex, and pain condition, patients who used opioids were more likely to report any side effect (OR 7.5, 95%CI:4.3-13.3) and constipation (OR 7.5, 95%CI:3.1-17.9). A significant dose response effect was observed for constipation but not for the other side effects. Nausea/vomiting (OR 2.0, 95%CI:1.1-3.6) and dizziness (OR 1.9, 95%CI:1.1-3.4) were associated with oxycodone compared to morphine. Conclusion: Similar to chronic pain, opioid side effects are highly prevalent during short-term treatment for acute pain. Physicians should be aware and inform patients about those side effects.

Introduction: Studies suggest that acute pain evolution after an emergency department (ED) visit has been associated with the development of chronic pain. Using group-based trajectory modeling (GBTM), we aimed to evaluate if ED discharged patients with similar pain intensity profiles of change over 14 days are associated with chronic pain at 3 months. Methods: This is a prospective cohort study of patients aged 18 years or older who visited the ED for an acute pain condition (≤2 weeks) and were discharged with an opioid prescription. Patients completed a 14-day diary in which they listed their daily pain intensity level (0-10 numeric rating scale). Three months post-ED visit, participants were interviewed by phone to report their pain intensity related to the initial pain. Results: A total of 305 patients were retained at 3 months (mean age ± SD: 55 ± 15 years, 49% women). Using GBTM, six distinct pain intensity trajectories were identified during the first 14 days of the acute pain period; two linear one with moderate or severe pain during the follow-up (representing almost 40% of the patients) and four cubic polynomial order trajectories, with mild or no-pain at the end of the 14 days (low final pain). Twelve percent (11.9; ±95%CI: 8.2-15.4) of the patients had chronic pain at 3 months. Controlling for age, sex and types of pain condition, patients with trajectories of moderate or severe pain and those with only severe pain were 5.1 (95%CI: 2.2-11.8) and 8.2 (95%CI: 3.4-20.0) times more likely to develop chronic pain at 3 months, respectively, compared to the low final pain group. Conclusion: Trajectories could be useful to early identification of patients at risk of chronic pain.

Introduction: Most studies evaluating prescription opioid dependence or misuse are retrospective and are based on prescription filling rates from pharmaceutical databases. These studies cannot evaluate if opioids are really consumed nor differentiate if used for a new pain, chronic pain, or for misuse/dependence. The aim of this study was to assess the opioid consumption in emergency department (ED) patients three months after discharge with an opioid prescription. Methods: This prospective cohort study was conducted in the ED of a tertiary care centre with a convenience sample of patients aged 18 years and older, recruited 24/7, who consulted and were discharged for an acute pain condition ( 2 weeks). We excluded patients who: did not speak French or English, were using opioid medication prior to their ED visit, with an ED stay > 48 hours, or suffering from cancer or chronic pain. Three months post-ED visit, participants were contacted by phone for a structured interview on their past two-week opioid use, their reasons for consuming them, and also answered the Rapid Opioid Dependence Screen (RODS) questionnaire. Results: In the 524 participants interviewed at three months (mean age ± SD: 51±16 years, 47% women), 44 (8.4%) patients consumed opioids in the previous two weeks. Among those, 72% consumed opioids for their initial pain, 19% for a new unrelated pain, and 9% for another reason. In this entire cohort, only five patients (1%) tested positive to opioid dependence from the RODS test. The low dependence incidence could be affected by a social desirability bias. Conclusion: This study suggests that opioid use at 3-month, for patients initially treated for acute pain, is associated with opioid dependency in 1% or possible misuse in only 9%. Additional prospective studies using multiple methods to measure opioids consumption, misuse, and dependence are needed.