Showing posts with label base rates. Show all posts
Showing posts with label base rates. Show all posts

Monday, July 29, 2019

"I'm Not Comfortable With"....Analyzing Decisions Involving Risk

A woman with upper gastrointestinal bleeding is admitted to the ICU with significant hemoglobin drop from baseline several months before.  The INR was >10 on admission, presumably reflecting sphlanchnic hypoperfusion during the bleeding episode (decreasing clearance or increasing effect of warfarin) in addition to consumption of clotting factors during bleeding.  The INR is reversed with vitamin K, and an EGD is performed showing a nonbleeding vessel which was clipped.  The following day, the patient is up and walking around and eating a full liquid diet with no further evidence of bleeding.  MAPs are in the mid to low 60s, and she is "called out" for a transfer to the regular medical ward.  The resident is reportedly "not comfortable with" having the patient on the floor with the low mean arterial pressures.  How best to analyze the situation?

(I will only briefly note that the expression of discomfort describes an emotional reaction that may or may not be concordant with a logical and factual analysis of the situation at hand.  In this case I suspect it has something to do with the availability heuristic, where dramatic events [gushing blood] are estimated to have higher probabilities than they warrant.)

The discomfort seems to stem from a concern that the patient will deteriorate on the regular medical ward and require interventions that are not available there, prompting readmission to the ICU and incurring the risk of a missed opportunity to provide necessary care during any delays in executing the transfer.  Factors that may raise that concern are marginal hemoglobin values (7-8) especially considering a baseline of almost twice that several months before, the size of the GIB and the resulting hemodynamic instability, the marginal MAPs at the time of transfer.  Mitigating factors are the absence of ongoing bleeding, the inference that any marginal MAPs must be from a residual volume deficit (she does not have coincident sepsis), that the vessel was successfully clipped, and the patient is up and walking about in spite of the measured MAPs.  But how are we to integrate this into an estimate of the risk that may be incurred from transfer?

Thursday, August 11, 2016

Medical Decision Making as a "Patient": Pregnancy Leads to A Trip Down The Rabbit Hole - A Personal Story

My wife is pregnant.  Wanting to be a supportive spouse, I attended the first prenatal visit to see one member of her team of midwives.  (Being a "minimalist" I was, like my wife, fond of the idea of not unnecessarily "medicalizing" the [usually] natural act of labor and birth.)  I realized during that first visit that understanding the intricacies of medical decision making can be a double-edged sword when dealing with practitioners, especially outside of one's specialty.  If ignorance is bliss, 'tis folly to be wise, it is said.  I've come to wonder which is better for you when you get entangled in US healthcare, wisdom or bliss.

During the first visit, we were offered, with an air of agnosticism, a referral for genetic counseling +/- non-invasive prenatal testing (NIPT).  "How accurate is it," I naturally inquired, trying to avoid technical terms such as sensitivity and specificity.  "Something like 99%" came the reply.  So we were given the referral.  But I quickly realized that this was a classic problem of base rates.  The likelihood of a chromosomal abnormality is so low given my wife's age, that even extremely high sensitivities and specificities are inadequate to guide our decision - that is, the test is rendered practically useless because of the low base rates in our case.  And this despite the fact that the sensitivities and specificities of prenatal blood testing are inflated by the way they were derived.  But think of the decision we would have faced had we blindly proceeded with testing without this consideration - given the low base rate, the posterior probability of a chromosomal abnormality such as Down's Syndrome given a "positive" test result would be around 33%.  How would we act on this information?  Is that threshold high enough that we would consider an elective abortion (if we were morally disposed towards that as an option)?  Or would we ignore the information and proceed to term?  And if we were not ethically accepting of elective abortion as a possibility, what other remedy would we have that would justify the information from the testing?  Why would we talk about getting prenatal genetic testing before talking about the choices we may have to face after we receive the results?  Why would not a discussion of remedies, specifically abortion, precede consideration of the testing?  How many couples dive into the rabbit hole only to wonder how they got there and how they can get out?  In this case, we decided that ignorance was indeed bliss, and deferred NIPT.

At that same visit, blood was ordered to be drawn.  I had difficulty understanding why you would need to draw blood from a perfectly healthy woman at 12 weeks gestation.  Blood types and anemia and all that I guessed.  But I was particularly caught by the thyroid testing.  Why are we screening an asymptomatic woman for thyroid disease?  Is that justified by the prior probabilities?  It takes only a google search to learn that ACOG (the American College of Obstetrics and Gynecology) and an endocrine society do not recommend universal testing.  But my questioning why we were doing this was off-putting and frankly unanswerable for the midwife - she was just following the usual routine, whatever her supervisors and mentors had told her to do, without understanding....well without understanding any of this Bayesian mumbo jumbo that I was hinting at.  Alas, thyroid testing, like NIPT, was deferred.  But not for long.

Friday, February 6, 2015

The Medical History as an Exposure Narrative: A Didactic for Medical Students and Young Physicians

I just received an email from a medical student on the other side of the pond asking for my advice for junior doctors for learning the practice of medicine.  I will oblige.  When students are taught how to take a medical history, they are taught a rote sequence and its components, but are not taught what the point really is, why we ask certain questions, how we string the answers together, which components need more or less emphasis in a given case.  Here I will present a framework for that understanding, which may make history taking more meaningful and useful for those learning and refining it.

What we are really trying to do with history taking is to make a narrative of the patient's exposures in his or her environment.  This exposure narrative allows us to use Bayes' Theorem to determine the most likely causes for a given chief complaint.  Bayes Theorem should be reviewed for its own sake in order to understand its use here and elsewhere, but simply understanding that the base rate of a disease in a certain population is the "prior probability" of that disease in a patient will suffice for now.  So, if I asked you what mammal you are likely to see on your hike in the Rocky Mountains, you will list squirrel and deer and elk before mountain lion and badger.  It's just common to see deer and elk there.  In the jungle, or the desert, the answers would be different - because different animals have different probabilities in different environments.  Likewise, when a 70-year-old comes with pain in the joints, osteo- and rheumatoid arthritis are more likely than lupus and juvenile rheumatoid arthritis, which would have higher probabilities in younger patients.  Thus, age is an exposure, perhaps one of the most important ones, and this is why a student's presentation often begins with something like "Mr. Jones is a 78-year-old man..."  (It is also why I frequently interrupt physicians who call me to admit a patient or consult on one, because I can't begin to order the probabilities until I know the age of the patient, which they frequently omit because of indolence.)  The older person has been exposed to wear and tear on the body for a longer time, and this figures prominently in the probabilities of the diseases that s/he is likely to have.