Search

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 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.

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.