A systematic database-derived approach to improve indexation of transpulmonary thermodilution-derived global end-diastolic volume.

Global end-diastolic volume (GEDV) has been indexed to body surface area (BSA). However, data validating this indexation of GEDV are scarce. Furthermore, it has been suggested to index GEDV to "predicted BSA" based on predicted body weight. Therefore, we aimed to identify biometric parameters independently associated with GEDV. We analyzed a database including 3812 TPTD measurements in 234 patients treated in the ICU of a German university hospital. GEDVI indexed to actual BSA was significantly lower than GEDVI indexed to predicted BSA (748 ± 179 vs. 804 ± 190 mL/m2; p < 0.001). GEDV was independently associated with older age, male sex, height, and actual body weight. In a regression model for the estimation of GEDV, age and height were the most important parameters: Each year in age and each cm in height increased GEDV by 9 and 15 mL, respectively. In addition to height and weight also age and sex should be considered for indexation of GEDV.