Ep 3 - Understanding diagnostics In Emergency Medicine Part 1. SNout SpIn and Probability
The St.Emlyn’s Podcast - A podcast by St Emlyn’s Blog and Podcast - Wednesdays
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Patients often come to us with the fundamental question: "Doctor, what's wrong with me?" Our goal is to provide an answer through history, examination, and tests. Let's explore what it means to make a diagnosis in emergency medicine. The Role of Diagnosis in Emergency Medicine In day-to-day practice, making a diagnosis often means applying a label to a patient. This label helps us decide on the next steps, whether to treat or reassure and send them home. In emergency medicine, we frequently focus on ruling out serious conditions rather than confirming them. This approach allows us to prioritize immediate life-threatening issues and manage resources effectively. Working Backwards: Ruling Out Serious Conditions Our primary concern in emergency medicine is to identify conditions that can kill quickly, often within hours. Therefore, we start by ruling out the most serious conditions first. Diagnostic tests, including history and physical examination, play a crucial role in this process. Every question we ask and every examination we perform are part of our diagnostic strategy, aiming to rule out or confirm serious illnesses. Sensitivity and Specificity in Diagnostic Testing Understanding diagnostic tests involves two key concepts: sensitivity and specificity. Sensitivity refers to a test's ability to correctly identify those with the disease (true positives). High sensitivity means that a negative test result is reliable for ruling out the disease. Specificity measures a test's ability to correctly identify those without the disease (true negatives). High specificity means that a positive test result is reliable for confirming the disease. For example, a D-Dimer test for thrombotic disease is highly sensitive. It picks up most cases of the disease but also includes some false positives. Conversely, a highly specific test like jaw claudication for temporal arteritis has very few false positives but isn't useful as a broad screening tool because only a small percentage of patients with the disease exhibit this symptom. The Importance of Probability and Risk In emergency medicine, we rarely achieve 100% certainty in diagnosis. Tests with 98% sensitivity, for instance, still miss 2% of cases. This level of uncertainty is part of our practice, and we must communicate it effectively to patients. Explaining the probabilistic nature of diagnosis helps patients understand the limitations of medical testing and the importance of follow-up if symptoms persist or worsen. Balancing Diagnosis and Treatment The consequences of diagnosing and treating a condition vary. For life-threatening conditions like myocardial infarction (MI), the treatment involves significant interventions such as thrombolysis or PCI, which carry their own risks. Therefore, we need a high degree of certainty before initiating such treatments. In contrast, diagnosing a viral sore throat, which requires minimal intervention, demands less certainty. Continuous Learning and Improvement Reflecting on our diagnostic processes is crucial for improvement. Recognizing that we work in a probabilistic environment helps us balance the need for thorough investigation with the risk of over-testing. By continuously learning and refining our approach, we can enhance patient care and outcomes. Favourite Diagnostic Tools To conclude, let's talk about our favorite diagnostic tools. Personally, I appreciate the value of ultrasound in the resuscitation room, especially for diagnosing pneumothorax in trauma patients. It's a quick, effective tool that guides immediate intervention. Simon, on the other hand, highlights the D-Dimer test. Despite its controversial reputation, it serves as a prime example of a test that, when understood and used correctly, can be incredibly valuable. We hope this podcast has provided some insight into the complexities and nuances of diagnosis in emergency medicine. Stay tuned for our next episode, where we'll delve deeper into the probabilistic nature o