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- Title
Can a central blood volume deficit be detected by systolic pressure variation during spontaneous breathing?
- Authors
Dahl, Michael; Hayes, Chris; Steen Rasmussen, Bodil; Larsson, Anders; Secher, Niels H.
- Abstract
Background: Whether during spontaneous breathing arterial pressure variations (APV) can detect a volume deficit is not established. We hypothesized that amplification of intra-thoracic pressure oscillations by breathing through resistors would enhance APV to allow identification of a reduced cardiac output (CO). This study tested that hypothesis in healthy volunteers exposed to central hypovolemia by head-up tilt. Methods: Thirteen healthy volunteers were exposed to central hypovolemia by 45° head-up tilt while breathing through a facemask with 7.5 cmH2O inspiratory and/or expiratory resistors. A brachial arterial catheter was used to measure blood pressure and thus systolic pressure variation (SPV), pulse pressure variation and stroke volume variation . Pulse contour analysis determined stroke volume (SV) and CO and we evaluated whether APV could detect a 10 % decrease in CO. Results: During head-up tilt SV decreased form 91 (±46) to 55 (±24) mL (mean ± SD) and CO from 5.8 (±2.9) to 4.0 (±1.8) L/min (p< 0.05), while heart rate increased (65 (±11) to 75 (±13) bpm; P<0.05). Systolic pressure decreased from 127 (±14) to 121 (±13) mmHg during head-up tilt, while SPV tended to increase (from 21 (±15)% to 30 (±13) %). Yet during head-up tilt, a SPV≥ 37 % predicted a decrease in CO ≥ 10 % with a sensitivity and specificity of 78 % and 100 %, respectively. Conclusion: In spontaneously breathing healthy volunteers combined inspiratory and expiratory resistors enhance SPV during head-up tilted induced central hypovolemia and allow identifying a 10 % reduction in CO. Applying inspiratory and expiratory resistors might detect a fluid deficit in spontaneously breathing patients.
- Subjects
ANALYSIS of variance; BLOOD pressure; BLOOD volume; CONFIDENCE intervals; HEMODYNAMICS; PATIENT positioning; RESEARCH funding; RESPIRATION; RECEIVER operating characteristic curves; DATA analysis software; DESCRIPTIVE statistics; STROKE volume (Cardiac output); BLOOD volume determination
- Publication
BMC Anesthesiology, 2016, p1
- ISSN
1471-2253
- Publication type
Article
- DOI
10.1186/s12871-016-0224-z