Dr. Michael Janjigian (3:06)
Great. So just as the big overview, my approach to perioperative medicine is that it's really like a primary care visit. You're ultimately going to evaluate the patient for all of their comorbidities, you're going to try to risk stratify each of those comorbidities and you're going to address all of those in your assessment and plan. And you're also going to address every single medication that they're on and advise the patient about what to take and not to take in the perioperative setting, specifically on the day of surgery. But really every patient gets a cardiac clearance. I mean, we don't love to use the word clearance, but that's really ultimately what the surgeons want out of us. They want to make sure that we say the patient is okay to go to the operating room. And really the foundation for that is a cardiac evaluation. Every patient, no matter what medical complications they have, is going to get a cardiac clearance. So really the backbone of this is going to be the ACCAHA guidelines. And so the timing for this podcast is good because they just updated their guidelines in 2024 and the prior iteration was from 2014. And so we can use this as a chance just to go through the algorithm so that you can apply this to really any patient that you're going to see. So my approach to the algorithm is really to do this as a stepwise approach. I really try to think of this in a really rigorous manner and I think this can help learners to really understand the approach better. But before we even get to step one, it helps me to think of what is the end point of the algorithm. We're doing a cardiac clearance right now. So keeping in mind that if you get all the way to the end of the algorithm, you may be recommending the patient for a stress test. Or even a left heart catheterization. And is there going to be benefit to that? And if that's ultimately where we end up in this algorithm. So keep that in mind as we're going through these steps is like the ultimate destination may be further cardiac imaging or even intervention. So step one, does this patient even need a pre op? Right. So this is an important consideration. If you're a surgeon in clinic and maybe you're clearing them for middle ear exploration or a total hip arthroplasty, you need to decide whether that patient needs to see an internist before surgery or not. And not every patient requires it. So for example, at Bellevue Hospital, if you meet any of the criteria, which is an age cutoff or certain comorbidities, any health system will have certain criteria. If you don't meet any of those criteria, these patients just go straight to surgery. They actually can bypass the pre op testing altogether and then anesthesia will see them on the day of surgery. So really the first question is, does the patient have risk factors and need to even be evaluated by an internist? If you, if we do need to worry about it, if they meet any of the criteria, then we proceed down the algorithm. So the next question is, is the surgery emergent? Usually we define that as loss of life or limb within two hours if they don't go to the operating room, things that could wait a day or two, like if there's a hip fracture, you want them to go as soon as possible. We don't consider those emergent, even though we want those patients to go as soon as possible. So obviously you're not going to do a stress test or a heart catheterization or on someone with a ruptured viscous, somebody who needs to go to the OR within two hours. So the first question, is the surgery emergent or not? So if it's not emergent, we go to the next step and this is where we consider active cardiac conditions. So does the patient have acs, acute coronary syndrome, an unstable arrhythmia, or decompensated heart failure? So these things may be obvious, they may not. I'm thinking now from the inpatient setting, maybe there's a trauma, maybe they had a traumatic fracture and you need to worry about, is there a troponin spill, are there some crackles, is there something subtle as a result of the reason that they're in the hospital in the first place? In clinic, you're assessing these patients for symptoms. Maybe they don't see the doctor regularly. And this is really the first time they've seen an internist and they're finally able to describe some of their worries and symptoms to you. So if you're not worried about any of those things, acs, arrhythmias or heart failure, they. Then you can continue down the algorithm. If they do have any of those things, you pause, you address them, and then maybe you're going to delay surgery or medically optimize them before. All right, so the next step is going to be estimation of perioperative risk. There are so many different risk tools out there, so if you actually reviewed this, your head would kind of spin with all the options. The ACCAH algorithm is nice. They really just recommend two. And even from 2014, it hasn't really even changed to 2024. There's two tools that we're using to risk stratify people. The first one is the RCRI score, the revised cardiac risk index that's based off prior models. It's been around forever. Almost everybody knows that. It's like, I think of it like the Latin of risk stratification tools. It's been around forever, but it's becoming less and less useful. So it's still in the guidelines, it's still worth knowing about. I still teach it. But mostly we're going to use the second tool, which is the Gupta score. So Gupta is the lead author on this paper. It's also called the MICA score, the MI cardiac arrest score, because that is the main outcome. They're looking at it, so the name is a little bit cleaner as well, and so is the tool itself. So with the Gupta score and for the RCRI score as well, you can just go online and plug these things into md, CALC or whatever other tool you want to use. The score we're looking for is a risk of 1% for cardiac outcomes for major adverse cardiac events, or MACE. If the risk is considered less than 1%, then they're considered low cardiac risk. And usually that means you can proceed to the OR. And if the risk is greater than 1%, then we need to do more determination. So in this case, the Gupta score is nice because it just gives you the score right there. The RCRI score, we say a score of 0 or 1 is considered low risk, or 2 or greater is elevated risk. So are CRI 2 or greater or Gupta score greater than 1%? We're going to continue down the algorithm. What is different about the 2024 algorithm compared to Prior is that we're now thinking about chronic disease risk modifiers before, it was just implicit that if a patient had some serious comorbidity, then it was supposed to be, like, obvious that you had to pause and think about it. But now they've just put it right into the algorithm itself. So we're going to think about chronic disease risk modifiers. I'm not going to go through all of them, but they list things like severe valvular heart disease, severe pulmonary hypertension, congenital heart disease, things like that. So you can look at the algorithm for the full list, but you're going to pause if there's any of those things, and then you're going to ask for help if they do help from.