Thank you for your take on this complex topic. I haven’t looked at the research, but has bedside US (quick look) impacted the duration of CPR efforts? Keep up the amazing work.
Thanks for supporting and commenting. I will look into the bedside u/s question sometime. I suspect whatever is published will be relatively small case series. Worth a look though.
Is it feasible to develop a practical decision support tool that will automatically calculate a patient's likelihood of successful resuscitation if they go into cardiac arrest, and then suggest yes/no CPR, and if yes, then how long?
Agreed. I should have clarified that I did not mean the likelihood of ROSC, but of a meaningful, quality survival chance. Many prediction models already attempt to do this without mentioning CPR.
I don’t think this is possible today. There is too wide a variability in individual patients in terms of the likelihood of ROSC. That being said, the datasets referenced in these posts from AHA for survival by time indexed to age and type of arrest (shockable/not), witnessed/not, could fairly easily be translated into a popup window on an EMR.
Great analysis and thanks for expounding upon the previous CPR piece. So much of ICU medicine seems to be fighting like crazy for the certain percentage who might actually pull through. It’s sobering when you see that some patients get long CPR and still make it through. Not sure what that percentage might be or the ancillary cost of anoxic but hemodynamically stable patients might be, but it’s great that someone is looking at data here.
Thank you for your take on this complex topic. I haven’t looked at the research, but has bedside US (quick look) impacted the duration of CPR efforts? Keep up the amazing work.
Thanks for supporting and commenting. I will look into the bedside u/s question sometime. I suspect whatever is published will be relatively small case series. Worth a look though.
Is it feasible to develop a practical decision support tool that will automatically calculate a patient's likelihood of successful resuscitation if they go into cardiac arrest, and then suggest yes/no CPR, and if yes, then how long?
Agreed. I should have clarified that I did not mean the likelihood of ROSC, but of a meaningful, quality survival chance. Many prediction models already attempt to do this without mentioning CPR.
I don’t think this is possible today. There is too wide a variability in individual patients in terms of the likelihood of ROSC. That being said, the datasets referenced in these posts from AHA for survival by time indexed to age and type of arrest (shockable/not), witnessed/not, could fairly easily be translated into a popup window on an EMR.
Great analysis and thanks for expounding upon the previous CPR piece. So much of ICU medicine seems to be fighting like crazy for the certain percentage who might actually pull through. It’s sobering when you see that some patients get long CPR and still make it through. Not sure what that percentage might be or the ancillary cost of anoxic but hemodynamically stable patients might be, but it’s great that someone is looking at data here.
This is great!! Thank you for your analysis!!
Thanks for your support!