User login
This transcript has been edited for clarity.
They call it the “golden hour”: 60 minutes, give or take, when the chance to save the life of a trauma victim is at its greatest. If the patient can be resuscitated and stabilized in that time window, they stand a good chance of surviving. If not, well, they don’t.
But resuscitation is complicated. It requires blood products, fluids, vasopressors — all given in precise doses in response to rapidly changing hemodynamics. To do it right takes specialized training, advanced life support (ALS). If the patient is in a remote area or an area without ALS-certified emergency medical services, or is far from the nearest trauma center, that golden hour is lost. And the patient may be as well.
But we live in the future. We have robots in factories, self-driving cars, autonomous drones. Why not an autonomous trauma doctor? If you are in a life-threatening accident, would you want to be treated ... by a robot?
Enter “resuscitation based on functional hemodynamic monitoring,” or “ReFit,” introduced in this article appearing in the journal Intensive Care Medicine Experimental.
The idea behind ReFit is straightforward. Resuscitation after trauma should be based on hitting key hemodynamic targets using the tools we have available in the field: blood, fluids, pressors. The researchers wanted to develop a closed-loop system, something that could be used by minimally trained personnel. The input to the system? Hemodynamic data, provided through a single measurement device, an arterial catheter. The output: blood, fluids, and pressors, delivered intravenously.
The body (a prototype) of the system looks like this. You can see various pumps labeled with various fluids, electronic controllers, and so forth.
If that’s the body, then this is the brain – a ruggedized laptop interpreting a readout of that arterial catheter.
If that’s the brain, then the ReFit algorithm is the mind. The algorithm does its best to leverage all the data it can, so I want to walk through it in a bit of detail.
First, check to see whether the patient is stable, defined as a heart rate < 110 beats/min and a mean arterial pressure > 60 mm Hg. If not, you’re off to the races, starting with a bolus of whole blood.
Next, the algorithm gets really interesting. If the patient is still unstable, the computer assesses fluid responsiveness by giving a test dose of fluid and measuring the pulse pressure variation. Greater pulse pressure variation means more fluid responsiveness and the algorithm gives more fluid. Less pulse pressure variation leads the algorithm to uptitrate pressors — in this case, norepinephrine.
This cycle of evaluation and response keeps repeating. The computer titrates fluids and pressors up and down entirely on its own, in theory freeing the human team members to do other things, like getting the patient to a trauma center for definitive care.
So, how do you test whether something like this works? Clearly, you don’t want the trial run of a system like this to be used on a real human suffering from a real traumatic injury.
Once again, we have animals to thank for research advances — in this case, pigs. Fifteen pigs are described in the study. To simulate a severe, hemorrhagic trauma, they were anesthetized and the liver was lacerated. They were then observed passively until the mean arterial pressure had dropped to below 40 mm Hg.
This is a pretty severe injury. Three unfortunate animals served as controls, two of which died within the 3-hour time window of the study. Eight animals were plugged into the ReFit system.
For a window into what happens during this process, let’s take a look at the mean arterial pressure and heart rate readouts for one of the animals. You see that the blood pressure starts to fall precipitously after the liver laceration. The heart rate quickly picks up to compensate, raising the mean arterial pressure a bit, but this would be unsustainable with ongoing bleeding.
Here, the ReFit system takes over. Autonomously, the system administers two units of blood, followed by fluids, and then norepinephrine or further fluids per the protocol I described earlier. 
The practical upshot of all of this is stabilization, despite an as-yet untreated liver laceration.
Could an experienced ALS provider do this? Of course. But, as I mentioned before, you aren’t always near an experienced ALS provider.
This is all well and good in the lab, but in the real world, you actually need to transport a trauma patient. The researchers tried this also. To prove feasibility, four pigs were taken from the lab to the top of the University of Pittsburgh Medical Center, flown to Allegheny County Airport and back. Total time before liver laceration repair? Three hours. And all four survived.
It won’t surprise you to hear that this work was funded by the Department of Defense. You can see how a system like this, made a bit more rugged, a bit smaller, and a bit more self-contained could have real uses in the battlefield. But trauma is not unique to war, and something that can extend the time you have to safely transport a patient to definitive care — well, that’s worth its weight in golden hours.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
They call it the “golden hour”: 60 minutes, give or take, when the chance to save the life of a trauma victim is at its greatest. If the patient can be resuscitated and stabilized in that time window, they stand a good chance of surviving. If not, well, they don’t.
But resuscitation is complicated. It requires blood products, fluids, vasopressors — all given in precise doses in response to rapidly changing hemodynamics. To do it right takes specialized training, advanced life support (ALS). If the patient is in a remote area or an area without ALS-certified emergency medical services, or is far from the nearest trauma center, that golden hour is lost. And the patient may be as well.
But we live in the future. We have robots in factories, self-driving cars, autonomous drones. Why not an autonomous trauma doctor? If you are in a life-threatening accident, would you want to be treated ... by a robot?
Enter “resuscitation based on functional hemodynamic monitoring,” or “ReFit,” introduced in this article appearing in the journal Intensive Care Medicine Experimental.
The idea behind ReFit is straightforward. Resuscitation after trauma should be based on hitting key hemodynamic targets using the tools we have available in the field: blood, fluids, pressors. The researchers wanted to develop a closed-loop system, something that could be used by minimally trained personnel. The input to the system? Hemodynamic data, provided through a single measurement device, an arterial catheter. The output: blood, fluids, and pressors, delivered intravenously.
The body (a prototype) of the system looks like this. You can see various pumps labeled with various fluids, electronic controllers, and so forth.
If that’s the body, then this is the brain – a ruggedized laptop interpreting a readout of that arterial catheter.
If that’s the brain, then the ReFit algorithm is the mind. The algorithm does its best to leverage all the data it can, so I want to walk through it in a bit of detail.
First, check to see whether the patient is stable, defined as a heart rate < 110 beats/min and a mean arterial pressure > 60 mm Hg. If not, you’re off to the races, starting with a bolus of whole blood.
Next, the algorithm gets really interesting. If the patient is still unstable, the computer assesses fluid responsiveness by giving a test dose of fluid and measuring the pulse pressure variation. Greater pulse pressure variation means more fluid responsiveness and the algorithm gives more fluid. Less pulse pressure variation leads the algorithm to uptitrate pressors — in this case, norepinephrine.
This cycle of evaluation and response keeps repeating. The computer titrates fluids and pressors up and down entirely on its own, in theory freeing the human team members to do other things, like getting the patient to a trauma center for definitive care.
So, how do you test whether something like this works? Clearly, you don’t want the trial run of a system like this to be used on a real human suffering from a real traumatic injury.
Once again, we have animals to thank for research advances — in this case, pigs. Fifteen pigs are described in the study. To simulate a severe, hemorrhagic trauma, they were anesthetized and the liver was lacerated. They were then observed passively until the mean arterial pressure had dropped to below 40 mm Hg.
This is a pretty severe injury. Three unfortunate animals served as controls, two of which died within the 3-hour time window of the study. Eight animals were plugged into the ReFit system.
For a window into what happens during this process, let’s take a look at the mean arterial pressure and heart rate readouts for one of the animals. You see that the blood pressure starts to fall precipitously after the liver laceration. The heart rate quickly picks up to compensate, raising the mean arterial pressure a bit, but this would be unsustainable with ongoing bleeding.
Here, the ReFit system takes over. Autonomously, the system administers two units of blood, followed by fluids, and then norepinephrine or further fluids per the protocol I described earlier.
The practical upshot of all of this is stabilization, despite an as-yet untreated liver laceration.
Could an experienced ALS provider do this? Of course. But, as I mentioned before, you aren’t always near an experienced ALS provider.
This is all well and good in the lab, but in the real world, you actually need to transport a trauma patient. The researchers tried this also. To prove feasibility, four pigs were taken from the lab to the top of the University of Pittsburgh Medical Center, flown to Allegheny County Airport and back. Total time before liver laceration repair? Three hours. And all four survived.
It won’t surprise you to hear that this work was funded by the Department of Defense. You can see how a system like this, made a bit more rugged, a bit smaller, and a bit more self-contained could have real uses in the battlefield. But trauma is not unique to war, and something that can extend the time you have to safely transport a patient to definitive care — well, that’s worth its weight in golden hours.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
They call it the “golden hour”: 60 minutes, give or take, when the chance to save the life of a trauma victim is at its greatest. If the patient can be resuscitated and stabilized in that time window, they stand a good chance of surviving. If not, well, they don’t.
But resuscitation is complicated. It requires blood products, fluids, vasopressors — all given in precise doses in response to rapidly changing hemodynamics. To do it right takes specialized training, advanced life support (ALS). If the patient is in a remote area or an area without ALS-certified emergency medical services, or is far from the nearest trauma center, that golden hour is lost. And the patient may be as well.
But we live in the future. We have robots in factories, self-driving cars, autonomous drones. Why not an autonomous trauma doctor? If you are in a life-threatening accident, would you want to be treated ... by a robot?
Enter “resuscitation based on functional hemodynamic monitoring,” or “ReFit,” introduced in this article appearing in the journal Intensive Care Medicine Experimental.
The idea behind ReFit is straightforward. Resuscitation after trauma should be based on hitting key hemodynamic targets using the tools we have available in the field: blood, fluids, pressors. The researchers wanted to develop a closed-loop system, something that could be used by minimally trained personnel. The input to the system? Hemodynamic data, provided through a single measurement device, an arterial catheter. The output: blood, fluids, and pressors, delivered intravenously.
The body (a prototype) of the system looks like this. You can see various pumps labeled with various fluids, electronic controllers, and so forth.
If that’s the body, then this is the brain – a ruggedized laptop interpreting a readout of that arterial catheter.
If that’s the brain, then the ReFit algorithm is the mind. The algorithm does its best to leverage all the data it can, so I want to walk through it in a bit of detail.
First, check to see whether the patient is stable, defined as a heart rate < 110 beats/min and a mean arterial pressure > 60 mm Hg. If not, you’re off to the races, starting with a bolus of whole blood.
Next, the algorithm gets really interesting. If the patient is still unstable, the computer assesses fluid responsiveness by giving a test dose of fluid and measuring the pulse pressure variation. Greater pulse pressure variation means more fluid responsiveness and the algorithm gives more fluid. Less pulse pressure variation leads the algorithm to uptitrate pressors — in this case, norepinephrine.
This cycle of evaluation and response keeps repeating. The computer titrates fluids and pressors up and down entirely on its own, in theory freeing the human team members to do other things, like getting the patient to a trauma center for definitive care.
So, how do you test whether something like this works? Clearly, you don’t want the trial run of a system like this to be used on a real human suffering from a real traumatic injury.
Once again, we have animals to thank for research advances — in this case, pigs. Fifteen pigs are described in the study. To simulate a severe, hemorrhagic trauma, they were anesthetized and the liver was lacerated. They were then observed passively until the mean arterial pressure had dropped to below 40 mm Hg.
This is a pretty severe injury. Three unfortunate animals served as controls, two of which died within the 3-hour time window of the study. Eight animals were plugged into the ReFit system.
For a window into what happens during this process, let’s take a look at the mean arterial pressure and heart rate readouts for one of the animals. You see that the blood pressure starts to fall precipitously after the liver laceration. The heart rate quickly picks up to compensate, raising the mean arterial pressure a bit, but this would be unsustainable with ongoing bleeding.
Here, the ReFit system takes over. Autonomously, the system administers two units of blood, followed by fluids, and then norepinephrine or further fluids per the protocol I described earlier.
The practical upshot of all of this is stabilization, despite an as-yet untreated liver laceration.
Could an experienced ALS provider do this? Of course. But, as I mentioned before, you aren’t always near an experienced ALS provider.
This is all well and good in the lab, but in the real world, you actually need to transport a trauma patient. The researchers tried this also. To prove feasibility, four pigs were taken from the lab to the top of the University of Pittsburgh Medical Center, flown to Allegheny County Airport and back. Total time before liver laceration repair? Three hours. And all four survived.
It won’t surprise you to hear that this work was funded by the Department of Defense. You can see how a system like this, made a bit more rugged, a bit smaller, and a bit more self-contained could have real uses in the battlefield. But trauma is not unique to war, and something that can extend the time you have to safely transport a patient to definitive care — well, that’s worth its weight in golden hours.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
<!--$RCSfile: InCopy_agile.xsl,v $ $Revision: 1.35 $-->
<!--$RCSfile: drupal.xsl,v $ $Revision: 1.7 $-->
<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>168246</fileName> <TBEID>0C05059E.SIG</TBEID> <TBUniqueIdentifier>MD_0C05059E</TBUniqueIdentifier> <newsOrJournal>News</newsOrJournal> <publisherName>Frontline Medical Communications</publisherName> <storyname/> <articleType>353</articleType> <TBLocation>QC Done-All Pubs</TBLocation> <QCDate>20240604T104312</QCDate> <firstPublished>20240604T110144</firstPublished> <LastPublished>20240604T110144</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20240604T110144</CMSDate> <articleSource/> <facebookInfo/> <meetingNumber/> <byline>F Perry Wilson</byline> <bylineText>F. PERRY WILSON, MSCE, MD</bylineText> <bylineFull>F. PERRY WILSON, MSCE, MD</bylineFull> <bylineTitleText/> <USOrGlobal/> <wireDocType/> <newsDocType>Opinion</newsDocType> <journalDocType/> <linkLabel/> <pageRange/> <citation/> <quizID/> <indexIssueDate/> <itemClass qcode="ninat:text"/> <provider qcode="provider:imng"> <name>IMNG Medical Media</name> <rightsInfo> <copyrightHolder> <name>Frontline Medical News</name> </copyrightHolder> <copyrightNotice>Copyright (c) 2015 Frontline Medical News, a Frontline Medical Communications Inc. company. All rights reserved. This material may not be published, broadcast, copied, or otherwise reproduced or distributed without the prior written permission of Frontline Medical Communications Inc.</copyrightNotice> </rightsInfo> </provider> <abstract/> <metaDescription>This transcript has been edited for clarity. </metaDescription> <articlePDF/> <teaserImage>301702</teaserImage> <teaser>Dr. Wilson comments on a unique closed-loop system that can resuscitate and stabilize trauma patients during transport to a higher level of care.</teaser> <title>In the Future, a Robot Intensivist May Save Your Life</title> <deck/> <disclaimer/> <AuthorList/> <articleURL/> <doi/> <pubMedID/> <publishXMLStatus/> <publishXMLVersion>1</publishXMLVersion> <useEISSN>0</useEISSN> <urgency/> <pubPubdateYear/> <pubPubdateMonth/> <pubPubdateDay/> <pubVolume/> <pubNumber/> <wireChannels/> <primaryCMSID/> <CMSIDs/> <keywords/> <seeAlsos/> <publications_g> <publicationData> <publicationCode>mdemed</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> <journalTitle/> <journalFullTitle/> <copyrightStatement/> </publicationData> <publicationData> <publicationCode>mdsurg</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> <journalTitle/> <journalFullTitle/> <copyrightStatement>2018 Frontline Medical Communications Inc.,</copyrightStatement> </publicationData> </publications_g> <publications> <term canonical="true">58877</term> <term>52226</term> </publications> <sections> <term canonical="true">41022</term> <term>52</term> <term>27970</term> </sections> <topics> <term>308</term> <term canonical="true">288</term> <term>279</term> </topics> <links> <link> <itemClass qcode="ninat:picture"/> <altRep contenttype="image/jpeg">images/240129b1.jpg</altRep> <description role="drol:caption"/> <description role="drol:credit">Nate Langer, UPMC</description> </link> <link> <itemClass qcode="ninat:picture"/> <altRep contenttype="image/jpeg">images/240129b2.jpg</altRep> <description role="drol:caption"/> <description role="drol:credit">Nate Langer, UPMC</description> </link> <link> <itemClass qcode="ninat:picture"/> <altRep contenttype="image/jpeg">images/240129b3.jpg</altRep> <description role="drol:caption"/> <description role="drol:credit">Nate Langer, UPMC</description> </link> <link> <itemClass qcode="ninat:picture"/> <altRep contenttype="image/jpeg">images/240129b4.jpg</altRep> <description role="drol:caption"/> <description role="drol:credit">Intensive Care Medicine Experimental</description> </link> <link> <itemClass qcode="ninat:picture"/> <altRep contenttype="image/jpeg">images/240129b5.jpg</altRep> <description role="drol:caption"/> <description role="drol:credit">Intensive Care Medicine Experimental</description> </link> </links> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>In the Future, a Robot Intensivist May Save Your Life</title> <deck/> </itemMeta> <itemContent> <p><em>This transcript has been edited for clarity</em>. </p> <p>They call it the “golden hour”: 60 minutes, give or take, when the chance to save the life of a trauma victim is at its greatest. If the patient can be resuscitated and stabilized in that time window, they stand a good chance of surviving. If not, well, they don’t.</p> <p>But resuscitation is complicated. It requires blood products, fluids, <span class="Hyperlink">vasopressors</span> — all given in precise doses in response to rapidly changing hemodynamics. To do it right takes specialized training, advanced life support (ALS). If the patient is in a remote area or an area without ALS-certified emergency medical services, or is far from the nearest trauma center, that golden hour is lost. And the patient may be as well.<br/><br/>But we live in the future. We have robots in factories, self-driving cars, autonomous drones. Why not an autonomous trauma doctor? If you are in a life-threatening accident, would you want to be treated ... by a robot?<br/><br/>Enter “resuscitation based on functional hemodynamic monitoring,” or “ReFit,” introduced in <span class="Hyperlink"><a href="https://icm-experimental.springeropen.com/articles/10.1186/s40635-024-00628-5">this article appearing in the journal</a> </span><em>Intensive Care Medicine Experimental</em><span class="Hyperlink">.<br/><br/></span>The idea behind ReFit is straightforward. Resuscitation after trauma should be based on hitting key hemodynamic targets using the tools we have available in the field: blood, fluids, pressors. The researchers wanted to develop a closed-loop system, something that could be used by minimally trained personnel. The input to the system? Hemodynamic data, provided through a single measurement device, an arterial catheter. The output: blood, fluids, and pressors, delivered intravenously.<br/><br/>The body (a prototype) of the system looks like this. You can see various pumps labeled with various fluids, electronic controllers, and so forth.<br/><br/>[[{"fid":"301702","view_mode":"medstat_image_full_text","fields":{"format":"medstat_image_full_text","field_file_image_alt_text[und][0][value]":"","field_file_image_credit[und][0][value]":"Nate Langer, UPMC","field_file_image_caption[und][0][value]":""},"type":"media","attributes":{"class":"media-element file-medstat_image_full_text"}}]]<br/><br/>If that’s the body, then this is the brain – a ruggedized laptop interpreting a readout of that arterial catheter.<br/><br/>[[{"fid":"301703","view_mode":"medstat_image_full_text","fields":{"format":"medstat_image_full_text","field_file_image_alt_text[und][0][value]":"","field_file_image_credit[und][0][value]":"Nate Langer, UPMC","field_file_image_caption[und][0][value]":""},"type":"media","attributes":{"class":"media-element file-medstat_image_full_text"}}]]<br/><br/>If that’s the brain, then the ReFit algorithm is the mind. The algorithm does its best to leverage all the data it can, so I want to walk through it in a bit of detail.<br/><br/>[[{"fid":"301704","view_mode":"medstat_image_centered","fields":{"format":"medstat_image_centered","field_file_image_alt_text[und][0][value]":"","field_file_image_credit[und][0][value]":"Nate Langer, UPMC","field_file_image_caption[und][0][value]":""},"type":"media","attributes":{"class":"media-element file-medstat_image_centered"}}]]<br/><br/>First, check to see whether the patient is stable, defined as a heart rate < 110 beats/min and a mean arterial pressure > 60 mm Hg. If not, you’re off to the races, starting with a bolus of <span class="Hyperlink">whole blood</span>.<br/><br/>Next, the algorithm gets really interesting. If the patient is still unstable, the computer assesses fluid responsiveness by giving a test dose of fluid and measuring the pulse pressure variation. Greater pulse pressure variation means more fluid responsiveness and the algorithm gives more fluid. Less pulse pressure variation leads the algorithm to uptitrate pressors — in this case, <span class="Hyperlink">norepinephrine</span>.<br/><br/>This cycle of evaluation and response keeps repeating. The computer titrates fluids and pressors up and down entirely on its own, in theory freeing the human team members to do other things, like getting the patient to a trauma center for definitive care.<br/><br/>So, how do you test whether something like this works? Clearly, you don’t want the trial run of a system like this to be used on a real human suffering from a real traumatic injury. <br/><br/>Once again, we have animals to thank for research advances — in this case, pigs. Fifteen pigs are described in the study. To simulate a severe, hemorrhagic trauma, they were anesthetized and the liver was lacerated. They were then observed passively until the mean arterial pressure had dropped to below 40 mm Hg.<br/><br/>This is a pretty severe injury. Three unfortunate animals served as controls, two of which died within the 3-hour time window of the study. Eight animals were plugged into the ReFit system. <br/><br/>For a window into what happens during this process, let’s take a look at the mean arterial pressure and heart rate readouts for one of the animals. You see that the blood pressure starts to fall precipitously after the liver laceration. The heart rate quickly picks up to compensate, raising the mean arterial pressure a bit, but this would be unsustainable with ongoing bleeding.<br/><br/>[[{"fid":"301705","view_mode":"medstat_image_full_text","fields":{"format":"medstat_image_full_text","field_file_image_alt_text[und][0][value]":"","field_file_image_credit[und][0][value]":"Intensive Care Medicine Experimental","field_file_image_caption[und][0][value]":""},"type":"media","attributes":{"class":"media-element file-medstat_image_full_text"}}]]<br/><br/>Here, the ReFit system takes over. Autonomously, the system administers two units of blood, followed by fluids, and then norepinephrine or further fluids per the protocol I described earlier. <br/><br/>[[{"fid":"301706","view_mode":"medstat_image_full_text","fields":{"format":"medstat_image_full_text","field_file_image_alt_text[und][0][value]":"","field_file_image_credit[und][0][value]":"Intensive Care Medicine Experimental","field_file_image_caption[und][0][value]":""},"type":"media","attributes":{"class":"media-element file-medstat_image_full_text"}}]]<br/><br/>The practical upshot of all of this is stabilization, despite an as-yet untreated liver laceration. <br/><br/>Could an experienced ALS provider do this? Of course. But, as I mentioned before, you aren’t always near an experienced ALS provider.<br/><br/>This is all well and good in the lab, but in the real world, you actually need to transport a trauma patient. The researchers tried this also. To prove feasibility, four pigs were taken from the lab to the top of the University of Pittsburgh Medical Center, flown to Allegheny County Airport and back. Total time before liver laceration repair? Three hours. And all four survived. <br/><br/>It won’t surprise you to hear that this work was funded by the Department of Defense. You can see how a system like this, made a bit more rugged, a bit smaller, and a bit more self-contained could have real uses in the battlefield. But trauma is not unique to war, and something that can extend the time you have to safely transport a patient to definitive care — well, that’s worth its weight in golden hours. <br/><br/></p> <p> <em>Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships. </em> </p> <p> <em>A version of this article appeared on <span class="Hyperlink"><a href="https://www.medscape.com/viewarticle/future-robot-intensivist-may-save-your-life-2024a1000a19">Medscape.com</a></span>.</em> </p> </itemContent> </newsItem> <newsItem> <itemMeta> <itemRole>teaser</itemRole> <itemClass>text</itemClass> <title/> <deck/> </itemMeta> <itemContent> </itemContent> </newsItem> </itemSet></root>
