Bedside Testing in Acute Vestibular Syndrome-Evaluating HINTS Plus and Beyond-A Critical Review.
Alexander Andrea TarnutzerJonathan A EdlowPublished in: Audiology research (2023)
Acute vertigo and dizziness are frequent presenting symptoms in patients in the emergency department. These symptoms, which can be subtle and transient, present diagnostic challenges because they can be caused by a broad range of conditions that cut across many specialties and organ systems. Previous work has emphasized the value of combining structured history taking and a targeted examination focusing on subtle oculomotor signs. In this review, we discuss various diagnostic bedside algorithms proposed for the acutely dizzy patient. We analyzed these different approaches by calculating their area-under-the-curve (ROC) characteristics and sensitivity/specificity. We found that the algorithms that incorporated structured history taking and the use of subtle oculomotor signs had the highest diagnostic accuracy. In fact, both the HINTS+ bedside exam and the STANDING algorithm can more accurately diagnose acute strokes than early (<24 to 48 h after symptom onset) MRI with diffusion-weighted imaging (DWI). An important caveat is that HINTS and STANDING require moderate training to achieve this accuracy. Therefore, for physicians who have not undergone adequate training, other approaches are needed. These other approaches (e.g., ABCD2 score, PCI score, and TriAGe+ score) rely on vascular risk factors, clinical symptoms, and focal neurologic findings. While these other scores are easier for frontline providers to use, their diagnostic accuracy is far lower than HINTS+ or STANDING. Therefore, a focus on providing dedicated training in HINTS+ or STANDING techniques to frontline clinicians will be key to improving diagnostic accuracy and avoiding unnecessary brain imaging.
Keyphrases
- diffusion weighted imaging
- emergency department
- liver failure
- machine learning
- respiratory failure
- risk factors
- case report
- deep learning
- magnetic resonance imaging
- aortic dissection
- contrast enhanced
- drug induced
- primary care
- end stage renal disease
- virtual reality
- ejection fraction
- newly diagnosed
- hepatitis b virus
- acute myocardial infarction
- coronary artery disease
- sleep quality
- high resolution
- percutaneous coronary intervention
- acute coronary syndrome
- prognostic factors
- heart failure
- white matter
- high intensity
- computed tomography
- magnetic resonance
- antiplatelet therapy
- acute respiratory distress syndrome
- mass spectrometry
- left ventricular
- subarachnoid hemorrhage
- patient reported outcomes
- st elevation myocardial infarction