#260 Are there tools to help assess dyspnea virtually?
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- 103 healthy people (mean age 56). In one breath:
- 100% counted to ≥15.
- 94% counted to ≥20.
- 93 patients with dyspnea (mean age 76) admitted to internal medicine or cardiac intensive care (conditions like heart failure and pneumonia). Roth Score compared to pulse oximetry on room air:
- Area-under-the-curve (assesses overall test utility):
- Predicted <95% O2 pulse oximetry: 0.83 (pretty good).
- Predicting <90% O2 pulse oximetry: 0.84 (pretty good).
- Sensitivity and specificity appear to be presented incorrectly. It is impossible to determine predictive cut-offs for helping make or exclude diagnosis.
- [We emailed the authors twice without response.]
- Area-under-the-curve (assesses overall test utility):
- Small-moderate help making the diagnosis of pneumonia (Likelihood Ratio ~3.5):
- Respiratory rate ≥20/minute or fever ≥38°C.
- No individual clinical features helpful in excluding pneumonia.
- 253 emergency patients (mean age 61) with complaint of dyspnea.3
- Correlated quite well with respiratory rate (r=0.77) and okay with oxygen saturation (r=0.43).
- In 188 chronic COPD patients, did not correlate with oxygen saturation.4
- Dyspnea encompasses more than oxygen saturation and has no gold standard for assessment.5
- None of these studies assessed patients with COVID-19 which may have distinct clinical characteristics.
- BMJ provides a helpful resource for assessment of COVID-19 patients virtually [https://www.bmj.com/content/368/bmj.m1182/infographic].6
difficult to assess severity of dyspnea without physical exam