But are these other fast stroke diagnosis tools good enough to roll out to the world? Do you even know about them?
Hats off to Helmet of Hope - stroke diagnosis in 30 seconds
Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds
New Device Quickly Assesses Brain Bleeding in Head Injuries - 5-10 minutes
Maybe these 17 diagnosis possibilities to find out which one is the best? Or maybe the Qualcomm Xprize for the tricorder?
Accuracy of Emergency Medical Services Dispatcher and Crew Diagnosis of Stroke in Clinical Practice
- 1Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- 2Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, United States
- 3Massachusetts General Hospital, Department of Emergency Medicine, Boston, MA, United States
- 4Brigham and Women’s Hospital, Department of Emergency Medicine, Boston, MA, United States
- 5Department of Healthcare Management, Wharton School, University of Pennsylvania, Philadelphia, PA, United States
- 6Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
- 7Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States
- 8Philadelphia Fire Department, Philadelphia, PA, United States
Background: Accurate recognition of stroke
symptoms by Emergency Medical Services (EMS) is necessary for timely
care of acute stroke patients. We assessed the accuracy of stroke
diagnosis by EMS in clinical practice in a major US city.
Methods and results: Philadelphia Fire Department
data were merged with data from a single comprehensive stroke center to
identify patients diagnosed with stroke or TIA from 9/2009 to 10/2012.
Sensitivity and positive predictive value (PPV) were calculated.
Multivariable logistic regression identified variables associated with
correct EMS diagnosis. There were 709 total cases, with 400 having a
discharge diagnosis of stroke or TIA. EMS crew sensitivity was 57.5% and
PPV was 69.1%. EMS crew identified 80.2% of strokes with National
Institutes of Health Stroke Scale (NIHSS) ≥5 and symptom duration <6
h. In a multivariable model, correct EMS crew diagnosis was positively
associated with NIHSS (NIHSS 5–9, OR 2.62, 95% CI 1.41–4.89; NIHSS ≥10,
OR 4.56, 95% CI 2.29–9.09) and weakness (OR 2.28, 95% CI 1.35–3.85), and
negatively associated with symptom duration >270 min (OR 0.41, 95%
CI 0.25–0.68). EMS dispatchers identified 90 stroke cases that the EMS
crew missed. EMS dispatcher or crew identified stroke with sensitivity
of 80% and PPV of 50.9%, and EMS dispatcher or crew identified 90.5% of
patients with NIHSS ≥5 and symptom duration <6 h.
Conclusion: Prehospital diagnosis of stroke has
limited sensitivity, resulting in a high proportion of missed stroke
cases. Dispatchers identified many strokes that EMS crews did not.
Incorporating EMS dispatcher impression into regional protocols may
maximize the effectiveness of hospital destination selection and
pre-notification.
Introduction
To be maximally effective, stroke therapies, including
tissue plasminogen activator (rt-PA) and endovascular thrombectomy (ET),
must be delivered as quickly as possible (1).
The American Heart Association recommended development of regionalized
systems of care, preferentially transporting patients to the nearest
stroke center, rather than the nearest hospital (2, 3). These recommendations are being adopted across the US (4).
The impetus to bring patients with severe stroke directly to a
Comprehensive Stroke Center is particularly pressing given randomized
trials showing benefit of endovascular therapy (1).
Regionalized systems of care are dependent on early and
accurate identification of stroke patients by Emergency Medical Services
(EMS). Although validated prehospital stroke scales exist, the
diagnostic sensitivity of EMS varies from 44 to 72% in clinical practice
(5–9).
We aimed to determine prehospital diagnostic accuracy of EMS
dispatchers and crews for stroke overall, for acute stroke patients with
National Institutes of Health Stroke Scale (NIHSS) ≥5, and which
clinical features were associated with correct prehospital
identification of stroke.
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