Alexander R. Opotowsky
ID: alexander-r-opotowsky
Alexander R. Opotowsky is a physician whose research includes adult congenital heart conditions, exercise physiology and evaluation of cardiac output measurements. His institutional profile identifies these scientific interests.[ref]
Alexander Opotowsky profile at Cincinnati Children's. Research interests: exercise physiology, pulmonary vascular disease and right ventricular function
In a 2017 primary study, Opotowsky and colleagues compared paired thermodilution and estimated-oxygen-uptake Fick principle measurements from 12,232 adults in a Veterans Affairs cohort and 3,391 adults at Vanderbilt. The investigators examined method agreement and subsequent mortality associations.[ref]
Thermodilution vs Estimated Fick Cardiac Output Measurement in Clinical Practice by Alexander R. Opotowsky and others. Abstract, Design, Exposures and Main outcomes; JAMA Cardiology 2, 1090–1099, DOI 10.1001/jamacardio.2017.2945
Comparing two methods does not make either an error-free ground truth.The measurement distinction can be explained by oxygen-uptake assumptions in estimated Fick output. At steady state, the oxygen Fick principle writeswhere is cardiac output, the numerator is oxygen consumption per unit time and the denominator is the arterial-minus-mixed-venous oxygen content difference. Estimating the numerator from an external formula introduces an assumption that directly scales the inferred cardiac output; it is distinct from measuring oxygen consumption.
For stipulated oxygen uptake of 200 mL/min and a content difference of , L/min. Substituting an estimated uptake of 250 mL/min gives 5 L/min, a 25% increase with unchanged content measurements. This is an original error-propagation example, not a patient result or a universal performance estimate. Errors in the content difference can also affect the ratio.
The primary study found that a small average difference between methods coexisted with wide limits of agreement.[ref]
Thermodilution vs Estimated Fick Cardiac Output Measurement in Clinical Practice by Alexander R. Opotowsky and others. Abstract, Results; Figure 1, paired-method differences
Positive and negative discrepancies can cancel in a mean while remaining substantial for individuals. This separates average bias, individual agreement and prognostic association, rather than treating all three as one measure of accuracy. New to topics? Read the docs here!
