Ehud Chorin1, Allison Padegimas2, Ofer Havakuk1, Edo Y Birati1,2,3, Yacov Shacham1, Anat Milman1, Guy Topaz1, Nir Flint1, Gad Keren1, Ori Rogowski4. 1. Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. 2. Department of Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. 3. Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. 4. Department of Internal Medicine "C", Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Abstract
INTRODUCTION: Health care demand is increasing due to greater longevity of patients with chronic comorbidities. This increasing demand is occurring in a setting of resource scarcity. To address these changes, high-value care initiatives, such as telemedicine, are valuable resource-preservation strategies. This study introduces the Roth score as a telemedicine tool that uses patient counting times to accurately risk-stratify dyspnea severity in terms of hypoxia. HYPOTHESIS: The Roth score has correlation with dyspnea severity. METHODS: This is a prospective, controlled-cohort study. Roth score index is measured by having the patient count from 1 to 30 in their native language, in a single breath, as rapidly as possible. The primary result of the Roth score is the duration of time and the highest number reached. RESULTS: There was a strongly positive correlation between pulse oximetry and both maximal count achieved in 1 breath (r = 0.67; P < 0.001) and counting time (r = 0.59; P < 0.001). For oxygen saturation <95%, the maximal count number area under the curve is 0.828 and counting time area under the curve is 0.764. Counting time >8 seconds had a sensitivity of 78% and specificity of 73% for pulse oximetry <95%. CONCLUSIONS: The Roth score has strong correlation with dyspnea severity as determined by hypoxia. This tool is reproducible, low resource-utilization, and amenable to telemedicine. It is not intended to replace full clinical workup and diagnosis of respiratory distress, but it is useful in risk-stratifying severity of dyspnea that warrants further clinical evaluation.
INTRODUCTION: Health care demand is increasing due to greater longevity of patients with chronic comorbidities. This increasing demand is occurring in a setting of resource scarcity. To address these changes, high-value care initiatives, such as telemedicine, are valuable resource-preservation strategies. This study introduces the Roth score as a telemedicine tool that uses patient counting times to accurately risk-stratify dyspnea severity in terms of hypoxia. HYPOTHESIS: The Roth score has correlation with dyspnea severity. METHODS: This is a prospective, controlled-cohort study. Roth score index is measured by having the patient count from 1 to 30 in their native language, in a single breath, as rapidly as possible. The primary result of the Roth score is the duration of time and the highest number reached. RESULTS: There was a strongly positive correlation between pulse oximetry and both maximal count achieved in 1 breath (r = 0.67; P < 0.001) and counting time (r = 0.59; P < 0.001). For oxygen saturation <95%, the maximal count number area under the curve is 0.828 and counting time area under the curve is 0.764. Counting time >8 seconds had a sensitivity of 78% and specificity of 73% for pulse oximetry <95%. CONCLUSIONS: The Roth score has strong correlation with dyspnea severity as determined by hypoxia. This tool is reproducible, low resource-utilization, and amenable to telemedicine. It is not intended to replace full clinical workup and diagnosis of respiratory distress, but it is useful in risk-stratifying severity of dyspnea that warrants further clinical evaluation.
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