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This study aims to evaluate the diagnostic performance of the cardiovascular surgeon's visual estimation of LV function before decannulation following cardiopulmonary bypass, using TEE results as the reference standard.
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The fundamental rationale for conducting this study is that the moment of decannulation after cardiopulmonary bypass (CPB) represents one of the most critical stages in cardiac surgery in terms of patient outcomes. At this stage, inadequate left ventricular (LV) function (dysfunction) can lead to severe hemodynamic deterioration, increased complications, and a higher risk of mortality. Therefore, accurately and rapidly assessing LV function just before separation from CPB is of vital importance. Although Transesophageal Echocardiography (TEE) is currently the most reliable and objective method, it requires specialized equipment, training, and time. On the other hand, experienced cardiac surgeons often make a visual estimation based on the observable physical appearance of the heart (such as its color, contractility, and fullness), relying on their many years of experience. This visual assessment is extremely fast and practical; however, it is subjective, and its reliability has not been clearly established scientifically.
Thus, the primary rationale for this study is to fill this gap in the scientific literature and determine how well the surgeon's quick, experience-based visual estimation aligns with the objective findings of TEE, the gold-standard method.
The main objective of the study is to evaluate the diagnostic performance of the cardiovascular surgeon's visual estimation of LV function before decannulation following cardiopulmonary bypass, using TEE results as the reference standard. In other words, it aims to statistically determine the agreement between the surgeon's practical visual assessment and the objective measurements provided by TEE, thereby offering a scientific basis for clinical decision-making by revealing the sensitivity and specificity limits of the surgeon's estimation, particularly in detecting critical conditions such as severe dysfunction.
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70 participants in 1 patient group
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Muhammed Enes Aydin, Associate Professor; Filiz Albayrak, assistant doctor
Data sourced from clinicaltrials.gov
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