Rapid Transition to Buprenorphine in a Patient With Methadone-Related QTc Interval Prolongation.

BACKGROUND: Patients with opioid use disorder (OUD) who are managed on methadone often require transition to buprenorphine therapy. Current recommendations require months to gradually taper off of methadone; however, in some cases, the need to transition is urgent. Only a few rapid methadone-to-buprenorphine transitions have been reported and there are no established protocols to guide clinicians in these cases. CASE PRESENTATION: A 43-year-old man on 95 mg methadone for opioid use disorder experienced cardiac arrest attributable to ventricular fibrillation caused by QTc interval prolongation from methadone. In the hospital, a gradual taper of methadone was initiated but proved intolerable; the patient requested to restart his home dose of methadone and leave against medical advice. A rapid transition was initiated instead. Naltrexone (25 mg) was used to precipitate acute withdrawal followed 1 hour later by a "rescue" with buprenorphine/naloxone (16 mg/4 mg). The Clinical Opiate Withdrawal Score (COWS) peaked at 21 post-naltrexone and fell quickly to 15 within a half-hour of buprenorphine/naloxone administration. The patient was maintained on a total daily dose of 16 mg/4 mg buprenorphine/naloxone through the time of discharge. CONCLUSIONS: A patient requiring an urgent taper off of methadone due to adverse cardiac effects successfully transitioned to buprenorphine/naloxone within 2 hours by using naltrexone to precipitate withdrawal followed by a "rescue" with buprenorphine/naloxone. A relatively high dose of 16 mg/4 mg buprenorphine/naloxone successfully arrested withdrawal symptoms. With further refinement, this protocol may be an important technique for urgent methadone-to-buprenorphine transitions in the inpatient setting.

Treadmill gait speeds correlate with physical activity counts measured by cell phone accelerometers.

A number of important health-related outcomes are directly related to a person's ability to maintain normal gait speed. We hypothesize that cellular telephones may be repurposed to measure this important behavior in a noninvasive, continuous, precise, and inexpensive manner. The purpose of this study was to determine if physical activity (PA) counts collected by cell phone accelerometers could measure treadmill gait speeds. We also assessed how cell phone placement influenced treadmill gait speed measures. Participants included 55 young, middle-aged, and older community-dwelling men and women. We placed cell phones as a pendant around the neck, and on the left and right wrist, hip, and ankle. Subjects then completed an individualized treadmill protocol, alternating 1 min rest periods with 5 min of walking at different speeds (0.3-11.3 km/h; 0.2-7 mi/h). No persons were asked to walk at speeds faster than what they would achieve during day-to-day life. PA counts were calculated from all sensor locations. We built linear mixed statistical models of PA counts predicted by treadmill speeds ranging from 0.8 to 6.4 km/h (0.5-4 mi/h) while accounting for subject age, weight, and gender. We solved linear regression equations for treadmill gait speed, expressed as a function of PA counts, age, weight, and gender. At all locations, cell phone PA counts were strongly associated with treadmill gait speed. Cell phones worn at the hip yielded the best predictive model. We conclude that in both men and women, cell phone derived activity counts strongly correlate with treadmill gait speed over a wide range of subject ages and weights.

Cellular telephones measure activity and lifespace in community-dwelling adults: proof of principle.

OBJECTIVES: To describe a system that uses off-the-shelf sensor and telecommunication technologies to continuously measure individual lifespace and activity levels in a novel way. DESIGN: Proof of concept involving three field trials of 30, 30, and 21 days. SETTING: Omaha, Nebraska, metropolitan and surrounding rural region. PARTICIPANTS: Three participants (48-year-old man, 33-year-old woman, and 27-year-old male), none with any functional limitations. MEASUREMENTS: Cellular telephones were used to detect in-home position and in-community location and to measure physical activity. Within the home, cellular telephones and Bluetooth transmitters (beacons) were used to locate participants at room-level resolution. Outside the home, the same cellular telephones and global positioning system (GPS) technology were used to locate participants at a community-level resolution. Physical activity was simultaneously measured using the cellular telephone accelerometer. RESULTS: This approach had face validity to measure activity and lifespace. More importantly, this system could measure the spatial and temporal organization of these metrics. For example, an individual's lifespace was automatically calculated across multiple time intervals. Behavioral time budgets showing how people allocate time to specific regions within the home were also automatically generated. CONCLUSION: Mobile monitoring shows much promise as an easily deployed system to quantify activity and lifespace, important indicators of function, in community-dwelling adults.