Jan. 27, 2022 — It’s no secret {that a} specific public well being epidemic has solely gotten worse through the COVID-19 pandemic: drug overdose deaths. From May 2020 to April 2021, greater than 100,000 folks within the U.S. died from a drug overdose, in response to the CDC. About 64% of these deaths have been from opioids, largely fentanyl.

To cut back these deaths, researchers from the University of Washington have developed a brand new wearable gadget that may inform when an individual is overdosing from opioids.

It’s potential to reverse an opioid overdose with the drug naloxone, however it must be given as quickly as somebody exhibits indicators of an overdose or stops respiration. If an individual is having an overdose alone, or if nobody close by has a naloxone dose or the coaching to manage it, that particular person’s chance of dying is way larger. This prompted the researchers to develop an auto-injector system that folks with opioid use dysfunction can put on towards their stomach. The new gadget works so much like an insulin pump.

It has sensors to detect respiration patterns and is programmed to acknowledge the indicators of slowed or stopped respiration and motion. If the sensors detect life-threatening respiration signs that imply an overdose, it triggers a shot of naloxone. The researchers examined the gadget in volunteers in two environments and revealed their findings within the journal Scientific Reports in November.

One of the check websites was a supervised injection clinic in Vancouver, Canada, the place folks with dependancy can use IV medicine with a educated medical skilled current. Twenty-five volunteers wore the gadget to make sure it precisely measured their respiration patterns whereas utilizing opioids, however the units weren’t programmed to ship the naloxone.

The different website was a hospital the place 20 volunteers who didn’t take opioids wore the units and held their breath for 15 seconds to imitate the symptom of stopping respiration. During this check, the units did inject a naloxone dose after they sensed that the particular person had not moved for not less than 15 seconds.

Naloxone attaches to opioid receptors and reverses and blocks the results of different opioids if they’ve been consumed. After the pictures, the members had their blood taken to ensure the small dose of drug entered their bloodstream.

The new research exhibits that the gadget acts because it ought to and delivers the fitting dose into an individual’s circulatory system. That mentioned, extra research is required earlier than the researchers can apply for approval from the FDA. Also, along with extra exams on the units’ security and effectiveness, the researchers must understand how comfy the units are to put on and whether or not they’re hidden sufficient from view that folks with an opioid dependancy could be prepared to put on them.

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Nov. 30, 2021 — Your smartwatch or health tracker lets you understand how many steps you’ve taken, how a lot sleep you bought, and what your peak coronary heart price was throughout that morning exercise. What if it might inform you if you’ve been contaminated with COVID-19 earlier than you discover any signs?

That’s precisely what a gaggle of researchers hoped would occur once they examined a real-time COVID-19 an infection alerting system that relied on the information that smartwatches and exercise monitor wearables can acquire. The system they constructed detected 80% of pre-symptomatic and asymptomatic infections, in accordance with a current research printed in Nature Medicine.

The research concerned greater than 3,300 adults ages 18-80 who put in the researchers’ app, known as MyPHD, on their Android or Apple units. The app collected information from the wearables they already had and transferred it to a safe cloud server the place the researchers might analyze the information. The wearables included Fitbits, Apple Watches, Garmin units, and different devices that have been suitable with both Apple’s HealthKit or the Google Fit platforms.

The scientists used an algorithm to search for variations in members’ step rely, coronary heart price, and sleep patterns. If the algorithm detected a measurement outdoors the anticipated regular vary that urged a bodily stressor, it despatched an alert to the wearer. Participants who obtained an alert then answered a number of questions on whether or not they took a COVID-19 take a look at, their exercise stage, any signs, medicines, and vaccination standing. The app didn’t make any medical suggestions about isolating or getting examined.

During the research, from November 2020 by July 2021, greater than 2,100 members obtained every day real-time alerts, and greater than 2,100 accomplished no less than one survey. Of the 278 individuals who reported receiving a constructive COVID-19 take a look at, 84 members (all carrying a Fitbit or Apple Watch) had sufficient information across the time they’d an an infection for them to obtain alerts.

Three Days Ahead

Sixty-seven of those folks obtained alerts suggesting the potential for an infection. The alerts detected an irregular studying a median 3 days earlier than the particular person developed signs.

Alert alerts have been even linked to 14 of the 18 circumstances involving a constructive take a look at consequence however no signs. Further, the algorithm might detect bodily modifications folks had on account of receiving a COVID-19 vaccine.

Despite the app’s success in figuring out irregular readings linked to infections, loads of alerts went out that weren’t linked to infections.

“Most of the annotated alerts may be attributed to different occasions, equivalent to poor sleep, stress, alcohol consumption, intense train, journey or different actions,” the researchers identified.

But these are additionally conditions the place the particular person doubtless already is aware of why the studying was irregular, in order that they wouldn’t be alarmed that they may have an an infection, the authors urged. Though the research lasted lower than a yr, the members stated they didn’t get bored with the alerts. The researchers plan to fine-tune their app to let customers alter the sensitivity of readings that set off an alert.

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