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Females demonstrate heightened central sensitization (CS), a risk factor for chronic pain characterized by enhanced responsivity of central nervous system nociceptors to normal or subthreshold input. Sleep disruption increases pain sensitivity, but sex has rarely been evaluated as a moderator and few experiments have measured CS. We evaluated whether two nights of sleep disruption alter CS measures of secondary hyperalgesia and mechanical temporal summation in a sex-dependent manner. We also evaluated differences in measures of pain sensitivity. Seventy-nine healthy adults (female n = 46) participated in a randomized crossover experiment comparing two consecutive nights of eight pseudorandomly distributed forced awakenings (FA [-200 min sleep time]) against two nights of undisturbed sleep (US). We conducted sensory testing the mornings following Night 2; the heat-capsaicin pain model was used to induce secondary hyperalgesia. FA reduced total sleep time (REM and NREM Stage 3) more profoundly in males. We observed divergent, sex-dependent effects of FA on secondary hyperalgesia and temporal summation. FA significantly increased secondary hyperalgesia in males and significantly increased temporal summation in females. Sex differences were not attributable to differential sleep loss in males. FA also significantly reduced heat-pain threshold and cold pressor pain tolerance, independently of sex. Sleep disruption enhances different pain facilitatory measures of CS in males and females suggesting that sleep disturbance may increase risk for chronic pain in males and females via distinct pathways. Findings have implications for understanding sex differences in chronic pain and investigating sleep in chronic pain prevention efforts.

Introduction: Using a human factors engineering approach, the Johns Hopkins Personalized Pain Program adopted telemedicine for perioperative pain management in response to the COVID-19 pandemic. This study examines the impact of telemedicine adoption on the quality and outcomes of perioperative pain management. Methods: A mixed-methods study with a convergent parallel design was conducted. From June 2017 to December 2021, 902 patients participated in the Personalized Pain Program. Quantitative data on daily opioid consumption, pain severity and interference, physical and mental health status, and patient satisfaction and engagement were continuously collected with all patients using chart review and patient surveys. Beginning 23 March 2020, the Personalized Pain Program transitioned to telemedicine. A pre–post quasi-experimental design was used to examine the impact of telemedicine. In addition, qualitative interviews were conducted with 3 clinicians and 17 patients to explore their experience with telemedicine visits. Results: The monthly number of new patients seen in the Personalized Pain Program did not significantly change before and after telemedicine adoption. Compared to patients having in-person visits before the pandemic, patients having telemedicine visits during the pandemic achieved comparable improvements in daily opioid consumption, pain severity and interference, and physical health status. While telemedicine helped overcome many challenges faced by the patients, the limitations of telemedicine were also discussed. Conclusion: The COVID-19 pandemic stimulated the use of telemedicine. To facilitate telemedicine adoption beyond the pandemic, future research is needed to examine best practices for telemedicine adoption and provide additional evidence on the effectiveness of telemedicine. [ABSTRACT FROM AUTHOR]

Siloed pain management across the perioperative period increases the risk of chronic opioid use and impedes postoperative recovery. Transitional perioperative pain services (TPSs) are innovative care models that coordinate multidisciplinary perioperative pain management to mitigate risks of chronic postoperative pain and opioid use. The objective of this study was to examine patients' experiences with and quality of recovery after participation in a TPS. Qualitative interviews were conducted with 26 patients from The Johns Hopkins Personalized Pain Program (PPP) an average of 33 months after their first PPP visit. A qualitative content analysis of the interview data showed that participants (1) valued pain expectation setting, individualized care, a trusting patient–physician relationship, and shared decision-making; (2) perceived psychiatric treatment of co-occurring depression, anxiety, and maladaptive behaviors as critical to recovery; and (3) successfully sustained opioid tapers and experienced improved functioning after PPP discharge. Areas for improved patient-centered care included increased patient education, specifically about the program, continuity of care with pain specialists while tapering opioids, and addressing the health determinants that impede access to pain care. The positive patient experiences and sustained clinical benefits for high-risk complex surgical patient support further efforts to implement and adapt similar models of perioperative pain care. [ABSTRACT FROM AUTHOR]

Trauma (i.e., musculoskeletal injury from a blunt or penetrating force) can change the trajectory of a person's life. Patients often experience chronic pain, reduced quality of life, long-term opioid therapy, and psychiatric comorbidities after trauma surgery. This case report presents clinical outcomes of four patients who received postsurgical pain care in a transitional pain service (TPS) that provides long-term coordinated multimodal pain care, opioid tapering plans, and psychiatric care. The Personalized Pain Program (PPP) measures prescription opioid use and patient-reported outcomes: pain severity and pain interference (Brief Pain Inventory), pain catastrophizing (Pain Catastrophizing Scale), insomnia severity (Insomnia Severity Index), physical and mental health functioning (SF-12 pre-COVID-19; SF-36 during COVID-19 pandemic) at initial and subsequent clinic visits. All four patients reduced their postsurgical opioid use with concurrent reductions in pain and improved functioning while receiving postoperative care in the PPP (average length of treatment: 2.8 years). Psychiatric co-treatment addressed the onset or exacerbation of mental health comorbidities following trauma. Long-term multidisciplinary pain care may improve post-trauma recovery and reduce risks of long-term opioid therapy and disability. Prospective studies are needed to evaluate the effectiveness of TPSs for patients undergoing trauma surgery. [ABSTRACT FROM AUTHOR]

Opioid prescriptions in the surgical setting have been implicated as contributors to the opioid epidemic. The authors hypothesized that a multidisciplinary approach to perioperative pain management for patients on chronic opioid therapy could decrease postoperative opioid requirements while reducing postoperative pain scores and improving functional outcomes. Therefore, a Perioperative Pain Program (PPP) for chronic opioid users was implemented. This study presents outcomes from the first 9 months of the PPP. Sixty-one patients met the inclusion criteria. Opioid consumption in morphine milligram equivalent (MME) was calculated and physical and health status of patients was assessed with the Brief Pain Inventory, Short-Form McGill Pain Questionnaire, and Short Form-12. Preliminary results showed significant reduction in MME, improved pain scores, and improved function for surgical patients on chronic opioids. PPP effectively reduced opioid usage without negatively influencing patient-reported outcomes, such as physical pain score assessment and health-related quality of life. [ABSTRACT FROM AUTHOR]

An instructive experiment for the synthesis of ethyl trans-cinnamate, a pleasant smelling ester used in perfumery and flavoring by the reaction of benzaldehyde with the stable ylid triphenylphosphorane is described. The synthesis, workup and characterization of trans-cinnamate may be accomplished in a single laboratory session with commonly available laboratory equipment and glassware.

Increased utilization of prescription opioids for pain management has led to a nationwide public health crisis with alarming rates of addiction and opioid-related deaths. In the surgical setting, opioid prescriptions have been implicated as a contributing factor to the opioid epidemic. The authors developed an innovative model to address aspects of pain management and opioid utilization during preoperative evaluation, acute surgical hospitalization, and postoperative follow-up for chronic opioid users. This program involves multidisciplinary teams that include acute and chronic pain specialists, psychiatrists, integrative medicine specialists, and physical medicine and rehabilitation services. It also features a novel infrastructure for triage and pain management education and treatment. Individualized patient plans are devised that can include preoperative opioid weaning, regional anesthesia that minimizes opioid use, and multimodal techniques for surgical pain treatment. Multidisciplinary programs such as this have the potential to both improve perioperative pain control and prevent escalation of opioid use among chronic opioid users. [ABSTRACT FROM AUTHOR]

Background:  Managing acute postoperative pain and minimizing chronic opioid use are crucial for patient recovery and long-term well-being., Objectives:  This study explored using preoperative electronic health record (EHR) and wearable device data for machine-learning models that predict postoperative acute pain and chronic opioid use., Methods:  The study cohort consisted of approximately 347 All of Us Research Program participants who underwent one of eight surgical procedures and shared EHR and wearable device data. We developed four machine learning models and used the Shapley additive explanations (SHAP) technique to identify the most relevant predictors of acute pain and chronic opioid use., Results:  The stacking ensemble model achieved the highest accuracy in predicting acute pain (0.68) and chronic opioid use (0.89). The area under the curve score for severe pain versus other pain was highest (0.88) when predicting acute postoperative pain. Values of logistic regression, random forest, extreme gradient boosting, and stacking ensemble ranged from 0.74 to 0.90 when predicting postoperative chronic opioid use. Variables from wearable devices played a prominent role in predicting both outcomes., Conclusion:  SHAP detection of individual risk factors for severe pain can help health care providers tailor pain management plans. Accurate prediction of postoperative chronic opioid use before surgery can help mitigate the risk for the outcomes we studied. Prediction can also reduce the chances of opioid overuse and dependence. Such mitigation can promote safer and more effective pain control for patients during their recovery., Competing Interests: None declared., (Thieme. All rights reserved.)

Objective: To examine (1) patient perceptions regarding their engagement and the engagement of their families in perioperative pain management, (2) demographic and clinical characteristics associated with perceived patient and family engagement, and (3) the association between perceived patient and family engagement and patient outcomes., Design: A prospective, observational study., Setting: The Personalized Pain Program (PPP) at the Johns Hopkins Hospital in Baltimore, Maryland., Participants: Patients having more than one visit to the PPP., Interventions: n/a., Main Outcome Measures: Since the inception of the PPP, patients were surveyed prior to each clinic visit to assess their pain severity and interference using the Brief Pain Inventory. Starting August 22, 2018, two additional questions were added to the survey to assess patient perceptions of their engagement and the engagement of their families in perioperative pain management. In addition, electronic medical records were reviewed to collect data on daily opioid consumption during the first and last PPP visits presurgery and post-surgery., Results: The final analysis included 511 survey responses from 155 patients. Perceived engagement of the patient in perioperative pain management improved over time (p < .001) and was significantly associated with reduction in prescription opioid consumption after surgery (coef = 12.7, SE = 5.8, p = .031)., Conclusions: Surgical patients and their family members should be actively engaged in perioperative pain management to improve prescription opioid use and the quality and safety of perioperative care.

The use of opioid analgesics for pain management has increased dramatically over the past decade, with corresponding increases in negative sequelae including overdose and death. Physicians, policymakers, and researchers are focused on finding ways to decrease opioid use and overdose. This crisis calls for a coordinated response that includes the entire healthcare sector. In this work, the authors lay out a blueprint for such a response at the level of the academic medical center. The proposed model is a comprehensive opioid overdose prevention, response, and education program to evaluate, monitor, and address prescription opioid-related adverse events and addiction among all patients within a healthcare system. The approach includes three inter-related elements: (1) creation of an organizational structure that is subdivided into subcommittees to facilitate cross-functional collaboration and implementation. These subcommittees will focus on Research and Design, Implementation, Advisory, and Compliance with the recommendation. (2) Development of an effective communication plan throughout the institution to enable the organization to function seamlessly and efficiently as a single unit, (3) development of a data tracking and reporting system that intended to have a 360° view of all aspects of opioid prescription and downstream patient outcomes. The most effective response system will require an organizational structure that facilitates the ad hoc constitution of cross-functional teams with members drawn from all levels of the organizational hierarchy (executive leadership to frontline staff). Such a structure provides the teams with immediate solutions as developed by the frontline staff and authority to remove institutional barriers that may delay or limit the successful implementation. The model described was developed in our institution by a cross-functional team that included members from the Johns Hopkins School of Medicine and Johns Hopkins University Carey Business School, Department of Operations Management. The multidisciplinary nature of collaboration allowed us to develop a model for an immediate institution-wide response to the opioid crisis, and one that other healthcare organizations could adopt with local modification as a template for execution. The model also meant to serve as a template for an institutional rapid-response that can be seamlessly implemented during any future drug-related crisis or epidemic.