A Amygdalou
National and Kapodistrian University of Athens
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Intensive Care Medicine | 2000
M. P. Vassiliou; L. Petri; A Amygdalou; M. Patrani; C. H. Psarakis; D. Nikolaki; G. Georgiadis; Panagiotis Behrakis
Objective: Linear modeling as a method of exploring respiratory mechanics during mechanical ventilation, was compared to nonlinear modeling for flow dependence of resistance in three distinct groups of patients, those with: (a) normal respiratory function (NRF), (b) chronic obstructive pulmonary disease (COPD), or (c) adult respiratory distress syndrome (ARDS). Design and patients: Airways opening pressure (Pao), flow (V′), and volume (V) signals were recorded in 32 ICU mechanically ventilated patients, under sedation and muscle relaxation (10 NRF, 11 COPD, 11 ARDS). All patients were ventilated with controlled mandatory ventilation mode at three levels of end-expiratory pressure (PEEPe): 0, 5, and 10 hPa. Data were analyzed according to: (a) Pao = PE + Ers V + Rrs V′ and (b) Pao = PE + Ers V + k1V′ + k2|V′|V′, where Ers and Rrs represent the intubated respiratory system (RS) elastance and resistance, k1 and k2 the linear and the nonlinear RS resistive coefficients, and PE the end-expiratory pressure. The models goodness of fit to the data was evaluated by the root mean square difference of predicted minus measured Pao values. Results: NRF data fit both models well at all PEEPe levels. ARDS and particularly COPD data fit the nonlinear model better. Values of k2 were often negative in COPD and ARDS groups, and they increased in parallel with PEEPe. A gradual increase in PEEPe resulted in better fit of ARDS and COPD data to both models. Conclusions: The model of V′ dependence of resistance is more suitable for the ARDS and particularly the COPD groups. PEEP tends to diminish the V′ dependence of respiratory resistance during the respiratory cycle, particularly in the COPD group, probably through an indirect effect of the increased lung volume.
Critical Care | 2004
A Amygdalou; George Dimopoulos; Markos Moukas; Christos Katsanos; Athina Katagi; Costas Mandragos; Stavros H. Constantopoulos; Panagiotis Behrakis; Miltos Vassiliou
IntroductionTracheotomy is widely performed in the intensive care unit after long-term oral intubation. The present study investigates the immediate influence of tracheotomy on respiratory mechanics and blood gases during mechanical ventilation.MethodsTracheotomy was performed in 32 orally intubated patients for 10.5 ± 4.66 days (all results are means ± standard deviations). Airway pressure, flow and arterial blood gases were recorded immediately before tracheotomy and half an hour afterwards. Respiratory system elastance (Ers), resistance (Rrs) and end-expiratory pressure (EEP) were evaluated by multiple linear regression. Respiratory system reactance (Xrs), impedance (Zrs) and phase angle (φrs) were calculated from Ers and Rrs. Comparisons of the mechanical parameters, blood gases and pH were performed with the aid of the Wilcoxon signed-rank test (P = 0.05).ResultsErs increased (7 ± 11.3%, P = 0.001), whereas Rrs (-16 ± 18.4%, P = 0.0003), Xrs (-6 ± 11.6%, P = 0.006) and φrs (-14.3 ± 16.8%, P = <0.001) decreased immediately after tracheotomy. EEP, Zrs, blood gases and pH did not change significantly.ConclusionLower Rrs but also higher Ers were noted immediately after tracheotomy. The net effect is a non-significant change in the overall Rrs (impedance) and the effectiveness of respiratory function. The extra dose of anaesthetics (beyond that used for sedation at the beginning of the procedure) or a higher FiO2 (fraction of inspired oxygen) during tracheotomy or aspiration could be related to the immediate elastance increase.
Intensive Care Medicine | 1998
C. Mandragos; C. Sarantopoulos; A Amygdalou; Panagiotis Behrakis
1. Assicot M, Gendrel D, Carsin H, Raymond J, Guilbaud J, Bohoun C (1993) High serum procalcitonin in patients with sepsis and infection. Lancet 341: 515-518 2. Eberhard OK, Haubitz M, Brunkhorst FM, Kliem V, Koch KM, Brunkhorst R (1997) Usefulness of procalcitonin for differentiation between activity of systemic autoimmune disease (systemic lupus erythematosus/systemic antineutrophil cytoplasmic antibody-associated vasculitis) and invasive bacterial infection. Arthritis Rheum 40:1250--1257 3. Reith HB, Lehmkuhl R Beier W et al. (1995) Procalcitonin ein prognostischer Infektionsparameter bei der Peritonitis. Chir Gastroenterol 11 (Suppl 2): 47-50 4. Gendre! D, Assicot M, Raymond Je t al. (1996) Procalcitonin as a marker for the early diagnosis of neonatal infection. J Pediatr 128:570-573 5. Dandona P, Nix D, Wilson MF et al. (1994) Procalcitonin increase after endotoxin injection in normal subjects. J Clin Endocrinol Metab 79 (5): 1605-1608
Clinical Nutrition | 2002
Markos Moukas; Mitliades P. Vassiliou; A Amygdalou; Costas Mandragos; Fotis Takis; Panagiotis Behrakis
Respiratory Physiology & Neurobiology | 2003
Miltos Vassiliou; A Amygdalou; Charalampos J Psarakis; Yotanna Dalavanga; Pericles M Vassiliou; Kostas E Mandragos; Stavros H. Constantopoulos; Panagiotis Behrakis
Critical Care | 2005
G Tsoros; M Paraschos; M Michail; A Amygdalou; Markos Moukas; Miltos Vassiliou; Costas Mandragos
Respiratory Medicine | 2003
F Frantzeskaki; A Amygdalou; Torben Riis Rasmussen; Miltos Vassiliou; Panagiotis Behrakis
Critical Care | 2006
A Amygdalou; Markos Moukas; M Parashos; A Katagi; Ch Psarakis; Stavros H. Constantopoulos; Costas Mandragos; Panagiotis Behrakis; Miltos Vassiliou
Critical Care | 2006
Miltos Vassiliou; A Amygdalou; C Koubaniou; Christos Katsanos; P Vassiliou; I Lihros; R Peslin; Panagiotis Behrakis
Critical Care | 2005
F Frantzeskaki; A Betrosian; A Amygdalou; M Vassileiou; Panagiotis Behrakis