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Volume status and volume responsiveness in postoperative cardiac surgical patients: An observational, multicentre cohort study
Author(s) -
Schulz Luis,
Geri Guillaume,
VieillardBaron Antoine,
Vig Philippe,
Parkin Geoffrey,
Aneman Anders
Publication year - 2021
Publication title -
acta anaesthesiologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 107
eISSN - 1399-6576
pISSN - 0001-5172
DOI - 10.1111/aas.13735
Subject(s) - medicine , mean circulatory filling pressure , linear regression , intensive care unit , central venous pressure , bolus (digestion) , blood pressure , anesthesia , cardiology , nuclear medicine , heart rate , statistics , mathematics
Background The best strategy to identify patients in whom fluid loading increases cardiac output (CO) following cardiac surgery remains debated. This study examined the utility of a calculated mean systemic filling pressure analogue ( P msa ) and derived variables to explain the response to a fluid bolus. Methods The P msa was calculated using retrospective, observational cohort data in the early postoperative period between admission to the intensive care unit and extubation within 6 hours. The venous return pressure gradient (VRdP) was calculated as P msa − central venous pressure. Concurrent changes induced by a fluid bolus in the ratio of the VRdP over P msa , the volume efficiency ( E vol ), were studied to assess fluid responsiveness. Changes between P msa and derived variables and CO were analysed by Wilcoxon rank‐sum test, hierarchial clustering and multiple linear regression. Results Data were analysed for 235 patients who received 489 fluid boluses. The P msa increased with consecutive fluid boluses (median difference [range] 1.3 [0.5‐2.4] mm Hg, P = .03) with a corresponding increase in VRdP (median difference 0.4 [0.2‐0.6] mm Hg, P = .04). Hierarchical cluster analysis only identified E vol and the change in CO within one cluster. The multiple linear regression between P msa and its derived variables and the change in CO (overall r 2 = .48, P < .001) demonstrated the best partial regression between the continuous change in CO and the concurrent E vol ( r = .55, P < .001). Conclusion The mean systemic filling P msa enabled a comprehensive interpretation of fluid responsiveness with volume efficiency useful to explain the change in CO as a continuous phenomenon.