Skip to main content
Erschienen in: BMC Anesthesiology 1/2017

Open Access 01.12.2017 | Research article

Cyclic PaO2 oscillations assessed in the renal microcirculation: correlation with tidal volume in a porcine model of lung lavage

verfasst von: Rainer Thomas, Christian Möllmann, Alexander Ziebart, Tanghua Liu, Matthias David, Erik K. Hartmann

Erschienen in: BMC Anesthesiology | Ausgabe 1/2017

Abstract

Background

Oscillations of the arterial partial pressure of oxygen induced by varying shunt fractions occur during cyclic alveolar recruitment within the injured lung. Recently, these were proposed as a pathomechanism that may be relevant for remote organ injury following acute respiratory distress syndrome. This study examines the transmission of oxygen oscillations to the renal tissue and their tidal volume dependency.

Methods

Lung injury was induced by repetitive bronchoalveolar lavage in eight anaesthetized pigs. Cyclic alveolar recruitment was provoked by high tidal volume ventilation. Oscillations of the arterial partial pressure of oxygen were measured in real-time in the macrocirculation by multi-frequency phase fluorimetry and in the renal microcirculation by combined white-light spectrometry and laser-Doppler flowmetry during tidal volume down-titration.

Results

Significant respiratory-dependent oxygen oscillations were detected in the macrocirculation and transmitted to the renal microcirculation in a substantial extent. The amplitudes of these oscillations significantly correlate to the applied tidal volume and are minimized during down-titration.

Conclusions

In a porcine model oscillations of the arterial partial pressure of oxygen are induced by cyclic alveolar recruitment and transmitted to the renal microcirculation in a tidal volume-dependent fashion. They might play a role in organ crosstalk and remote organ damage following lung injury.
Abkürzungen
ARDS
Acute respiratory distress syndrome
CO
Cardiac output
cRD
Cycle-dependent recruitment and derecruitment of lung parenchyma
FiO2
Fraction of inspired oxygen
MAP
Mean arterial pressure
MFPF
Multi-frequency phase fluorimetry
n.s.
Not significant
PaO2
Arterial oxygen partial pressure
PAW
Airway pressure
pCO2
Arterial carbon dioxide partial pressure
PEEP
Positive endexpiratory pressure
Pplat
Plateau pressure
RR
Respiratory rate
SrO2
Renal oxygen saturation
Vt
Tidal volume

Background

Adverse effects of remote organ crosstalk is a common and severe problem in intensive care patients and a novel field of research [1]. Organ dysfunctions, especially acute respiratory distress syndrome (ARDS) and acute kidney injury, can be caused by the same external etiology, but also trigger each other. The combination of both is linked to prolonged intensive care stays and increased mortality [24]. The underlying pathways are not fully understood, but are likely linked to increased inflammation [5]. Respiratory cycle-dependent recruitment and derecruitment of lung parenchyma (cRD), defined as atelectotrauma, plays an important role in ventilator-induced lung injury by applying shearing forces to lung tissue, which lead to pulmonary and/or systemic inflammation [6]. In addition to pulmonary injury, cRD generates varying shunt fractions within the respiratory cycle that lead to ultrafast oscillations of the arterial oxygen partial pressure (PaO2) and can be detected in macrocirculation, microcirculation, and even in brain tissue [710]. A novel technique based on multi-frequency phase fluorimetry (MFPF) can be used to detect PaO2 oscillations in real-time. For this purpose a ruthenium-covered probe is inserted into the arterial circulation. Currently, an advanced version of this technique allows continuous real-time measurements [8, 11].
Several experimental studies recently addressed the influence of various respiratory patterns or modes on the occurrence and extent of these oscillations [1215]. Preclinical data suggest that the occurrence of intermitting oxygen oscillations per se might represent a trigger for remote organ failure following lung injury [6, 1619]. The role of the tidal volume as driving force for PaO2 oscillations, their transmission to various distant organ microcirculatory sites and particularly the kidney is yet unknown.
We hypothesized that oscillations of PaO2 that are induced by cRD are (I) transmitted to the renal tissue and change oxygen saturation at the capillary level, and that (II) the magnitude of this effect depends on the respiratory tidal volume. This transmission may be a possible pathway of the injured lung directly affecting renal integrity.

Methods

Preparation

The protocol was approved by the State and Institutional Animal Care Committee (Rhineland-Palatinate, Germany, ID G12–1-059). Pilot experiments were performed to develop the protocol. Eight pigs (27–28 kg) were acquired through a local farmer and delivered to the laboratory following sedation (Azaperone, Ketamine). Induction of anesthesia was accomplished with fentanyl (4 μg/kg) and propofol (5–6 mg/kg) via an ear vein cannula. Anesthesia was maintained by continuous infusion of propofol (5–10 mg/kg/h) and fentanyl (0.05–0.1 mg/kg/h). Atracurium (0.5 mg/kg) was administered intravenously only to facilitate endotracheal intubation. Basic monitoring included pulse oximetry (Masimo Radical 7, Irvine California, USA) and spirometric monitoring (S/5, GE-Datex-Ohmeda, Chalfont St. Giles, United Kingdom). The animals were ventilated using a volume-controlled mode (AVEA, Carefusion, San Diego, USA) with a tidal volume of 7 ml/kg, positive endexpiratory pressure (PEEP) of 5 mbar, fraction of inspired oxygen (FiO2) of 0.4 and respiratory rate oriented on the end-tidal CO2. Femoral vascular access was achieved using Seldinger’s technique after ultrasound-guided puncture for placement of a central venous line, an arterial introducer for ultrafast PaO2 measurement, and a pulse contour cardiac output catheter (PiCCO, Pulsion Medical, Munich, Germany). The data from all devices was monitored and stored continuously. Balanced electrolyte fluid was administered at an infusion rate of 5–15 ml/kg/h. To compensate fluid deficiency and blood loss during the instrumentation 500 ml of hydroxyethyl starch 130/0.4 were administered over 2 h. If necessary, noradrenaline was administered to maintain a mean arterial pressure above 60 mmHg.

Ultrafast PaO2 measurement in the macrocirculation using multi-frequency phase fluorimetry

A ruthenium-covered probe was inserted via the femoral artery introducer (Foxy-AL300, Ocean Optics, USA) as previously reported [13, 14]. The tip of the probe is covered with ruthenium-based fluorescent molecules, whose fluorescence is quenched by the presence of molecular oxygen. A fiber optic bundle sends blue LED light to the sensor and the resulting fluorescence is relayed back through the bundle to the detector (NeoFox, Ocean Optics, USA). The decay profile of the fluorescent molecules changes in the presence of molecular oxygen, and arterial PaO2 is calculated automatically by the dedicated software with a time resolution of up to 10 Hz.

Ultrafast renal oxygen saturation (SrO2) measurement

Access to the kidney was achieved surgically and the probe was placed manually on the surface of the kidney at the height of the hilus. SrO2 was measured by means of laser Doppler flowmetry and white light spectroscopy (O2C, LEA Medizintechnik, Giessen, Germany) as previously reported by Klein et al. for assessment of peripheral and cerebral microcirculation [8, 10]. The light absorption of hemoglobin varies depending on the oxygenation saturation. White light is emitted by the probe, and the spectrum of measured light allows the calculation of the tissue saturation. The amplitude of measured light allows the calculation of hemoglobin amount. Capillary and small venous vessels contain the majority of tissue hemoglobin and therefore contribute the most to the measurement.

Study protocol

ARDS was induced by surfactant washout using repetitive bronchoalveolar lavages. The endotracheal tube was closed during inspiration. 30 ml/kg of warmed balanced saline solution were instilled by gravity and immediately removed. This procedure was repeated until the PaO2/FiO2 ratio remained less than 200 mmHg over 30 min. To provoke considerable cRD and PaO2 oscillations, a dedicated algorithm that excludes the occurrence of relevant oscillations under healthy conditions and an aggressive respiratory regime was used: tidal volume of 25–30 ml/kg, respiratory rate of 5–7 per minute, zero PEEP, FiO2 1.0, and inspiratory to expiratory ratio of 1:4 [13, 14]. Aortal PaO2, SrO2 and hemodynamic and respiratory data were continuously monitored in a time-synchronized manner. The tidal volume was reduced by decrements of 5 ml/kg until the PaO2 oscillations vanished. Each tidal volume was maintained for 5 min to ensure adequate equilibrium and steady-state conditions. Samples for blood gas analysis were withdrawn at each step very slowly over several respiratory cycles. The experiment was ended in deep general anesthesia by injection of 200 mg of propofol and 40 mmol of potassium chloride.

Statistics

Values are given as averages of individual contributors and mean standard deviation. Statistical analysis was performed using Sigmaplot 12.5 (Systat Software Inc., San Jose, CA, USA). Oscillation amplitudes refer to peak to peak differences and were calculated semi-automatically via a previously described Fourier-analysis-routine using MathCad (Parametric Technology Corporation, Needham, MA, USA) [12]. To compare values before and after intervention, the Wilcoxon-test was used. To determine correlations, the Pearson-coefficient was used. P-values of less than 5% were considered to be statistically significant.

Results

Hemodynamics and ventilation parameters remained stable during all measurements. The alveolar lavage created significant acute lung injury as demonstrated by the PaO2/FiO2 ratio dropping from 505 ± 49 to 202 ± 90 mmHg. Cardio-respiratory measurements during baseline assessment and cRD are summarized in Table 1.
Table 1
Measurements during baseline assessment and cRD with maximum tidal volume
Value
Unit
Baseline
cRD
P-value
CO
l/min
3.7 ± 0.6
3.8 ± 1.0
n.s.
MAP
mmHg
94 ± 16
84 ± 11
n.s.
RR
1/min
34 ± 4
6 ± 1
<0.01
PaO2/FiO2
mmHg
505 ± 49
205 ± 90
<0.01
Pplat
mbar
14 ± 2.
32 ± 5
<0.01
PEEP
mbar
5 ± 1
0.1 ± 1
<0.01
Vt
ml/kg
7.5 ± 0.3
27.7 ± 1.5
<0.01
pH
-
7.47 ± 0.05
7.35 ± 0.06
<0.01
pCO2
mmHg
44.58 ± 4.37
62.73 ± 7.61
<0.01
CO – cardiac output, MAP – mean arterial pressure, RR – respiratory rate, Pplat – plateau pressure, PEEP – positive end expiratory pressure, Vt –tidal volume, pH – blood pH via blood gas analysis, pCO2 – arterial CO2 pressure via blood gas analysis, n.s. – not significant
During baseline conditions we neither recorded oscillations in PaO2 nor in SrO2. Application of the aggressive respirator setting in healthy conditions resulted in average oscillation of 22 mmHg without SrO2 oscillations. No inverse oscillations that can be attributed to perfusion alterations were found [20]. Following acute lung injury and cRD provocation, large PaO2 oscillation amplitudes of 155 ± 66 mmHg occurred. These were accompanied by corresponding SrO2 oscillations (2.6 ± 1.5%) as shown in Fig. 1. The PaO2 and SrO2oscillation amplitudes significantly differed from the baseline value (Fig. 2). The down-titration of the applied tidal volume immediately reduced the PaO2 and SrO2 oscillation amplitudes despite comparable absolute PaO2 (Figs. 2, 3). The corresponding airway driving pressures were 32 ± 4 mbar during initial setting and decreased during tidal volume titration (20 ml/kg: 29 ± 4, 15 ml/kg: 26 ± 4, 10 ml/kg: 23 ± 3 [mbar]). The extent of the PaO2 and SrO2 oscillations significantly correlated with the applied tidal volume (Pearson Coefficient R = 0.82 respectively R = 0.58, each p < 0.01; Fig. 3). Oscillation amplitudes of SrO2 and PaO2 as well correlated with each other (Pearson Coefficient R = 0.46, p = 0.02). Tidal volume reduction down to 10 ml/kg eliminated ongoing oxygen oscillations. The average of PaO2 measured via MFPF correlated with the corresponding value acquired via blood gas analysis (Pearson Coefficient R = 0.95, p < 0.01).

Discussion

The present study reveals two key findings: systemic cRD-induced PaO2 oscillations are transmitted to the renal microcirculation and depend on the tidal volume. To our knowledge, this is the first study that shows a direct alteration of renal capillary oxygen saturation due to fast intratidal changes of shunt and PaO2 within the injured lung.
Dynamic lung stress leading to atelectrauma is proposed to be a major contributor of ventilator-induced damage within the injured lung [21, 22]. cRD exposed lung areas were shown to exert high amounts of inflammatory response [23]. Baumgardner et al. first reported the occurrence of large scale respiratory-dependent PaO2 oscillations caused by cRD in a rabbit model [12]. Interestingly, perfusion-related inverse oscillations that are not induced by cRD can also be provoked in healthy pigs [20]. An occurrence of small oscillation amplitudes (< 30 mmHg) during our aggressive respiratory setting even in healthy state is in line with previous reports [14]. The present proof of concept study did not directly assess the underlying mechanism of cRD and its correlation to PaO2 oscillations. This seems reasonable as it was sufficiently certified by several approaches [12, 14, 24, 25]. Due to the lack of clinical or bedside devices for detection of fast intratidal variations such as cRD, the detection of respiratory-dependent PaO2-oscillations was proposed as an indicator for indirect quantification of cRD [7].
cRD-induced variations of the PaO2 are transmitted into peripheral microcirculation and may lead to cyclically occurring episodes of hyper- or hypoxia [8]. Various cell types are compromised when exposed to cyclic oxygen variations both in a hyperoxic and hypoxic range: both ranges trigger were shown to be associated with inflammatory response [16, 17]. Furthermore, oxidative stress may play a role for oscillations leading to intermittent hyperoxia [16, 17]. Systemic PaO2 oscillations are also transmitted to the cerebral tissue [10]. Long-term exposure to PaO2 oscillations furthermore causes neuronal injury and inflammatory response within the brain, [6] which may represent a mechanism of deleterious organ crosstalk following single organ failure. Acute kidney injury is the most common organ failure in intensive care units [26]. In combination with ARDS it prolongs intensive care unit stays and significantly increases mortality, whereas ARDS itself is a risk factor for subsequent kidney injury [27]. Recent studies suggest several mechanisms for this organ crosstalk, e.g. an increase of systemic inflammatory markers, [4] changes in blood flow, edema, ischemia [28] as well as increased inflammation following antibiotics against bacterial sepsis [29]. However, the crosstalk between lung and kidney is not fully understood and respiratory-dependent SrO2 oscillations may add one more pathway of remote kidney injury that needs to be addressed in future research, because neither kidney damage nor function was directly assessed in this pilot study.
In previously published animal models that focused on occurrence and behavior of cRD-related PaO2 oscillations aggressive ventilator settings with highest tidal volumes were applied to provoke substantial cyclically recruitment of lung tissue [6, 8, 1113, 23, 30]. The present study is the first one to focus on the tidal volume as a primary driving force for this phenomenon: a down-titration of the applied tidal volume to 10 ml/kg eliminates the PaO2 oscillations. This tidal volume is still considerably higher than those applied in ARDS patients in lung-protective therapy regimes. Computer tomographic clinical studies in ARDS patients document the occurrence of cRD even during lung protective tidal volume ventilation of 4–6 ml/kg [3133]. Several aspects should be taken into account to understand these controversial results. Insensitivity of PaO2 oscillations in the detection of cRD and occurrence only in large areas of cyclically recruiting lung tissue cannot be fully excluded. However, Hartmann et al. showed that even small cyclically recruiting shunt fractions (lower than 5%) can cause detectable PaO2 oscillations [13]. The present study makes use of two advanced technical approaches at two locations within the bloodstream to depict cRD-related oxygen oscillations that correspond to tidal volume down-titration. Acute lung injury was induced by repetitive bronchoalveolar saline lavage, which is a commonly used model for rapid development of atelectasis and ARDS-like gas exchange impairment. The lavage model is particularly appropriate for studies concerning respiratory physiology or characteristics of atelectasis [34, 35]. The lavage model, though, is criticized for not appropriately reflecting the pattern of human ARDS. cRD is not an exclusive pattern of the lavage model and also occurs in different experimental conditions or models [36, 37] as well as in clinical ARDS studies. Tidal volume indeed seems to be the major determinant for cRD in this acute porcine model, which does not necessarily depict the clinical scenario of ARDS. The non-occurrence of PaO2 oscillations in lower tidal volume ranges in the present study cannot be generalized to clinical ARDS. In this context, combined laser-Doppler flowmetry and white light spectrometry [8] as well as rapid measurement of peripheral oxygen saturation [24] may allow for non-invasive, bedside detection of cRD-related PaO2 oscillations in lung injured patients. Formenti et al. recently developed a platinum-based sensor for ultrafast PaO2 measurement that overcomes the toxicity concerns of this study’s ruthenium-based device and may become available for measurement of real-time or respiratory-dependent PaO2 variations in humans [30, 38]. The analysis of PaO2 oscillations showed stronger p-values and better tidal volume correlation than the SrO2 oscillations. But the average PaO2 of 205 ± 90 mmHg during cRD limits the effect onto saturation due to the oxyhemoglobin dissociation curve. Additionally the effect may be limited by the autoregulation of renal blood flow.
Many factors have an impact on oxygen supply: ventilation, oxygen pressure of inspiratory gas, heart rate, cardiac output, perfusion distribution (shunt), metabolic status, oxyhemoglobin dissociation curve. For this study their impact was limited by the application of a standardized protocol and a pre-established algorithm for cRD provocation [13, 14]. Most parameters remained constant during measurements (e.g. metabolic status). The Fourier-transformation mathematically eliminated all impacts not synchronized to the ventilation frequency (e.g. heart rate). Cardiac output depends not only on heart rate, but also on intrathoracic pressure and its variation, which changes periodically at the ventilation frequency. Its impact cannot be eliminated by Fourier-transformation, but is unlikely to fully explain the alteration in SrO2 [8]. Hypercapnia in the ARDS group and a lower pH modify the oxygen dissociation curve. Their impact on the oscillations cannot be excluded in this study. Consistent with the present PaO2 (Fig. 2) the influence of the oxygen dissociation curve limits the extent of SrO2 oscillations. These showed a strict respiratory-dependent character and are in line with previous studies that assessed the transmission of PaO2 oscillation to the peripheral microcirculation [8, 24, 36]. This study served as a proof of concept in a porcine model, but results from long-term experiments or by means of clinically applicable techniques in patients are required to confirm the significance of the reported pathophysiological concept.

Conclusion

The current study confirms two hypotheses in a porcine lung injury model. First, oscillations of PaO2 caused by high tidal volumes in ARDS pigs are transmitted to the renal microcirculation and can be measured at the venous capillary level. This suggests a possible pathway to the injury of organs other than the lung itself. Second, the amplitude of oscillations strongly depends on the tidal volume. This emphasizes the potential role of oxygen variations in deleterious organ crosstalk and highlights the importance of lung-protective ventilation to avoid cyclic alveolar recruitment.

Acknowledgements

The authors thank Mrs. Dagmar Dirvonskis for support in logistics and laboratory organization.

Funding

The study was funded by the German Research Council (DFG DA 842/2–2). The design of the study and collection, analysis, and interpretation of data and in writing the manuscript or decision to publish was not influenced by the sponsors.

Availability of data and materials

The dataset analyzed during the current study is available from the corresponding author on reasonable request.
The protocol was approved by the State and Institutional Animal Care Committee (Rhineland-Palatinate, Germany, ID G12–1-059).
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Quilez ME, Lopez-Aguilar J, Blanch L. Organ crosstalk during acute lung injury, acute respiratory distress syndrome, and mechanical ventilation. Curr Opin Crit Care. 2012;18(1):23–8.CrossRefPubMed Quilez ME, Lopez-Aguilar J, Blanch L. Organ crosstalk during acute lung injury, acute respiratory distress syndrome, and mechanical ventilation. Curr Opin Crit Care. 2012;18(1):23–8.CrossRefPubMed
2.
Zurück zum Zitat Doi K, Ishizu T, Fujita T, Noiri E. Lung injury following acute kidney injury: kidney-lung crosstalk. Clin Exp Nephrol. 2011;15(4):464–70.CrossRefPubMed Doi K, Ishizu T, Fujita T, Noiri E. Lung injury following acute kidney injury: kidney-lung crosstalk. Clin Exp Nephrol. 2011;15(4):464–70.CrossRefPubMed
3.
Zurück zum Zitat Yap SC, Lee HT. Acute kidney injury and extrarenal organ dysfunction: new concepts and experimental evidence. Anesthesiology. 2012;116(5):1139–48.CrossRefPubMed Yap SC, Lee HT. Acute kidney injury and extrarenal organ dysfunction: new concepts and experimental evidence. Anesthesiology. 2012;116(5):1139–48.CrossRefPubMed
4.
Zurück zum Zitat Murugan R, Karajala-Subramanyam V, Lee M, Yende S, Kong L, Carter M, Angus DC, Kellum JA. Acute kidney injury in non-severe pneumonia is associated with an increased immune response and lower survival. Kidney Int. 2010;77(6):527–35.CrossRefPubMed Murugan R, Karajala-Subramanyam V, Lee M, Yende S, Kong L, Carter M, Angus DC, Kellum JA. Acute kidney injury in non-severe pneumonia is associated with an increased immune response and lower survival. Kidney Int. 2010;77(6):527–35.CrossRefPubMed
5.
Zurück zum Zitat John S, Willam C. Lung and kidney failure. Pathogenesis, interactions, and therapy. Med Klin Intensivmed Notfallmed. 2015;110(6):452–8.CrossRef John S, Willam C. Lung and kidney failure. Pathogenesis, interactions, and therapy. Med Klin Intensivmed Notfallmed. 2015;110(6):452–8.CrossRef
6.
Zurück zum Zitat Klein KU, Johannes A, Bruckner M, Thomas R, Matthews S, Frauenknecht K, Leukel P, Mazur J, Poplawski A, Muellenbach R, et al. Systemic PaO2 oscillations cause mild brain injury in a pig model. Crit Care Med. 2016;44(5):e253–63.CrossRefPubMed Klein KU, Johannes A, Bruckner M, Thomas R, Matthews S, Frauenknecht K, Leukel P, Mazur J, Poplawski A, Muellenbach R, et al. Systemic PaO2 oscillations cause mild brain injury in a pig model. Crit Care Med. 2016;44(5):e253–63.CrossRefPubMed
7.
Zurück zum Zitat Shi C, Boehme S, Hartmann EK, Markstaller K. Novel technologies to detect atelectotrauma in the injured lung. Exp Lung Res. 2011;37(1):18–25.CrossRefPubMed Shi C, Boehme S, Hartmann EK, Markstaller K. Novel technologies to detect atelectotrauma in the injured lung. Exp Lung Res. 2011;37(1):18–25.CrossRefPubMed
8.
Zurück zum Zitat Klein KU, Hartmann EK, Boehme S, Szczyrba M, Heylen L, Liu T, David M, Werner C, Markstaller K, Engelhard K. PaO2 oscillations caused by cyclic alveolar recruitment can be monitored in pig buccal mucosa microcirculation. Acta Anaesthesiol Scand. 2013;57(3):320–5.CrossRefPubMed Klein KU, Hartmann EK, Boehme S, Szczyrba M, Heylen L, Liu T, David M, Werner C, Markstaller K, Engelhard K. PaO2 oscillations caused by cyclic alveolar recruitment can be monitored in pig buccal mucosa microcirculation. Acta Anaesthesiol Scand. 2013;57(3):320–5.CrossRefPubMed
9.
Zurück zum Zitat Klein KU, Boehme S, Hartmann EK, Szczyrba M, David M, Markstaller K, Engelhard K. A novel technique for monitoring of fast variations in brain oxygen tension using an uncoated fluorescence quenching probe (foxy AL-300). J Neurosurg Anesthesiol. 2011;23(4):341–6.CrossRefPubMed Klein KU, Boehme S, Hartmann EK, Szczyrba M, David M, Markstaller K, Engelhard K. A novel technique for monitoring of fast variations in brain oxygen tension using an uncoated fluorescence quenching probe (foxy AL-300). J Neurosurg Anesthesiol. 2011;23(4):341–6.CrossRefPubMed
10.
Zurück zum Zitat Klein KU, Boehme S, Hartmann EK, Szczyrba M, Heylen L, Liu T, David M, Werner C, Markstaller K, Engelhard K. Transmission of arterial oxygen partial pressure oscillations to the cerebral microcirculation in a porcine model of acute lung injury caused by cyclic recruitment and derecruitment. Br J Anaesth. 2013;110(2):266–73.CrossRefPubMed Klein KU, Boehme S, Hartmann EK, Szczyrba M, Heylen L, Liu T, David M, Werner C, Markstaller K, Engelhard K. Transmission of arterial oxygen partial pressure oscillations to the cerebral microcirculation in a porcine model of acute lung injury caused by cyclic recruitment and derecruitment. Br J Anaesth. 2013;110(2):266–73.CrossRefPubMed
11.
Zurück zum Zitat Boehme S, Duenges B, Klein KU, Hartwich V, Mayr B, Consiglio J, Baumgardner JE, Markstaller K, Basciani R, Vogt A. Multi frequency phase fluorimetry (MFPF) for oxygen partial pressure measurement: ex vivo validation by polarographic clark-type electrode. PLoS One. 2013;8(4):e60591.CrossRefPubMedPubMedCentral Boehme S, Duenges B, Klein KU, Hartwich V, Mayr B, Consiglio J, Baumgardner JE, Markstaller K, Basciani R, Vogt A. Multi frequency phase fluorimetry (MFPF) for oxygen partial pressure measurement: ex vivo validation by polarographic clark-type electrode. PLoS One. 2013;8(4):e60591.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Baumgardner JE, Markstaller K, Pfeiffer B, Doebrich M, Otto CM. Effects of respiratory rate, plateau pressure, and positive end-expiratory pressure on PaO2 oscillations after saline lavage. Am J Respir Crit Care Med. 2002;166(12 Pt 1):1556–62.CrossRefPubMed Baumgardner JE, Markstaller K, Pfeiffer B, Doebrich M, Otto CM. Effects of respiratory rate, plateau pressure, and positive end-expiratory pressure on PaO2 oscillations after saline lavage. Am J Respir Crit Care Med. 2002;166(12 Pt 1):1556–62.CrossRefPubMed
13.
Zurück zum Zitat Hartmann EK, Boehme S, Bentley A, Duenges B, Klein KU, Elsaesser A, Baumgardner JE, David M, Markstaller K. Influence of respiratory rate and end-expiratory pressure variation on cyclic alveolar recruitment in an experimental lung injury model. Crit Care. 2012;16(1):R8.CrossRefPubMedPubMedCentral Hartmann EK, Boehme S, Bentley A, Duenges B, Klein KU, Elsaesser A, Baumgardner JE, David M, Markstaller K. Influence of respiratory rate and end-expiratory pressure variation on cyclic alveolar recruitment in an experimental lung injury model. Crit Care. 2012;16(1):R8.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Boehme S, Bentley AH, Hartmann EK, Chang S, Erdoes G, Prinzing A, Hagmann M, Baumgardner JE, Ullrich R, Markstaller K, et al. Influence of inspiration to expiration ratio on cyclic recruitment and derecruitment of atelectasis in a saline lavage model of acute respiratory distress syndrome. Crit Care Med. 2015;43(3):e65–74.CrossRefPubMed Boehme S, Bentley AH, Hartmann EK, Chang S, Erdoes G, Prinzing A, Hagmann M, Baumgardner JE, Ullrich R, Markstaller K, et al. Influence of inspiration to expiration ratio on cyclic recruitment and derecruitment of atelectasis in a saline lavage model of acute respiratory distress syndrome. Crit Care Med. 2015;43(3):e65–74.CrossRefPubMed
15.
Zurück zum Zitat Syring RS, Otto CM, Spivack RE, Markstaller K, Baumgardner JE. Maintenance of end-expiratory recruitment with increased respiratory rate after saline-lavage lung injury. J Appl Physiol (Bethesda, Md : 1985). 2007;102(1):331–9.CrossRefPubMed Syring RS, Otto CM, Spivack RE, Markstaller K, Baumgardner JE. Maintenance of end-expiratory recruitment with increased respiratory rate after saline-lavage lung injury. J Appl Physiol (Bethesda, Md : 1985). 2007;102(1):331–9.CrossRefPubMed
16.
Zurück zum Zitat Wu J, Hafner C, Schramel JP, Kaun C, Krychtiuk KA, Wojta J, Boehme S, Ullrich R, Tretter EV, Markstaller K, et al. Cyclic and constant hyperoxia cause inflammation, apoptosis and cell death in human umbilical vein endothelial cells. Acta Anaesthesiol Scand. 2016;60(4):492–501.CrossRefPubMed Wu J, Hafner C, Schramel JP, Kaun C, Krychtiuk KA, Wojta J, Boehme S, Ullrich R, Tretter EV, Markstaller K, et al. Cyclic and constant hyperoxia cause inflammation, apoptosis and cell death in human umbilical vein endothelial cells. Acta Anaesthesiol Scand. 2016;60(4):492–501.CrossRefPubMed
17.
Zurück zum Zitat Wu J, Stefaniak J, Hafner C, Schramel JP, Kaun C, Wojta J, Ullrich R, Tretter VE, Markstaller K, Klein KU. Intermittent hypoxia causes inflammation and injury to human adult cardiac Myocytes. Anesth Analg. 2016;122(2):373–80.CrossRefPubMed Wu J, Stefaniak J, Hafner C, Schramel JP, Kaun C, Wojta J, Ullrich R, Tretter VE, Markstaller K, Klein KU. Intermittent hypoxia causes inflammation and injury to human adult cardiac Myocytes. Anesth Analg. 2016;122(2):373–80.CrossRefPubMed
18.
Zurück zum Zitat Hafner C, Wu J, Soto-Gonzalez L, Kaun C, Stojkovic S, Wojta J, Tretter V, Markstaller K, Klein KU. Moderate hyperoxia induces inflammation, apoptosis and necrosis in human umbilical vein endothelial cells: an in-vitro study. Eur J Anaesthesiol. 2017;34(3):141–9.PubMed Hafner C, Wu J, Soto-Gonzalez L, Kaun C, Stojkovic S, Wojta J, Tretter V, Markstaller K, Klein KU. Moderate hyperoxia induces inflammation, apoptosis and necrosis in human umbilical vein endothelial cells: an in-vitro study. Eur J Anaesthesiol. 2017;34(3):141–9.PubMed
19.
Zurück zum Zitat Hafner C, Wu J, Tiboldi A, Hess M, Mitulovic G, Kaun C, Krychtiuk KA, Wojta J, Ullrich R, Tretter EV, et al. Hyperoxia induces inflammation and Cytotoxicity in human adult cardiac Myocytes. Shock (Augusta, Ga). 2017;47(4):436–44.CrossRef Hafner C, Wu J, Tiboldi A, Hess M, Mitulovic G, Kaun C, Krychtiuk KA, Wojta J, Ullrich R, Tretter EV, et al. Hyperoxia induces inflammation and Cytotoxicity in human adult cardiac Myocytes. Shock (Augusta, Ga). 2017;47(4):436–44.CrossRef
20.
Zurück zum Zitat Bodenstein M, Bierschock S, Boehme S, Wang H, Vogt A, Kwiecien R, David M, Markstaller K. Influence of fluid and volume state on PaO2 oscillations in mechanically ventilated pigs. Exp Lung Res. 2013;39(2):80–90.CrossRefPubMed Bodenstein M, Bierschock S, Boehme S, Wang H, Vogt A, Kwiecien R, David M, Markstaller K. Influence of fluid and volume state on PaO2 oscillations in mechanically ventilated pigs. Exp Lung Res. 2013;39(2):80–90.CrossRefPubMed
21.
Zurück zum Zitat Protti A, Andreis DT, Monti M, Santini A, Sparacino CC, Langer T, Votta E, Gatti S, Lombardi L, Leopardi O, et al. Lung stress and strain during mechanical ventilation: any difference between statics and dynamics? Crit Care Med. 2013;41(4):1046–55.CrossRefPubMed Protti A, Andreis DT, Monti M, Santini A, Sparacino CC, Langer T, Votta E, Gatti S, Lombardi L, Leopardi O, et al. Lung stress and strain during mechanical ventilation: any difference between statics and dynamics? Crit Care Med. 2013;41(4):1046–55.CrossRefPubMed
22.
Zurück zum Zitat Protti A, Votta E, Gattinoni L. Which is the most important strain in the pathogenesis of ventilator-induced lung injury: dynamic or static? Curr Opin Crit Care. 2014;20(1):33–8.CrossRefPubMed Protti A, Votta E, Gattinoni L. Which is the most important strain in the pathogenesis of ventilator-induced lung injury: dynamic or static? Curr Opin Crit Care. 2014;20(1):33–8.CrossRefPubMed
23.
Zurück zum Zitat Otto CM, Markstaller K, Kajikawa O, Karmrodt J, Syring RS, Pfeiffer B, Good VP, Frevert CW, Baumgardner JE. Spatial and temporal heterogeneity of ventilator-associated lung injury after surfactant depletion. J Appl Physiol(Bethesda, Md : 1985). 2008;104(5):1485–94.CrossRefPubMedPubMedCentral Otto CM, Markstaller K, Kajikawa O, Karmrodt J, Syring RS, Pfeiffer B, Good VP, Frevert CW, Baumgardner JE. Spatial and temporal heterogeneity of ventilator-associated lung injury after surfactant depletion. J Appl Physiol(Bethesda, Md : 1985). 2008;104(5):1485–94.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Bodenstein M, Boehme S, Wang H, Duenges B, Markstaller K. Hints for cyclical recruitment of atelectasis during ongoing mechanical ventilation in lavage and oleic acid lung injury detected by SpO(2) oscillations and electrical impedance tomography. Exp Lung Res. 2014;40(9):427–38.CrossRefPubMed Bodenstein M, Boehme S, Wang H, Duenges B, Markstaller K. Hints for cyclical recruitment of atelectasis during ongoing mechanical ventilation in lavage and oleic acid lung injury detected by SpO(2) oscillations and electrical impedance tomography. Exp Lung Res. 2014;40(9):427–38.CrossRefPubMed
25.
Zurück zum Zitat Markstaller K, Kauczor HU, Weiler N, Karmrodt J, Doebrich M, Ferrante M, Thelen M, Eberle B. Lung density distribution in dynamic CT correlates with oxygenation in ventilated pigs with lavage ARDS. Br J Anaesth. 2003;91(5):699–708.CrossRefPubMed Markstaller K, Kauczor HU, Weiler N, Karmrodt J, Doebrich M, Ferrante M, Thelen M, Eberle B. Lung density distribution in dynamic CT correlates with oxygenation in ventilated pigs with lavage ARDS. Br J Anaesth. 2003;91(5):699–708.CrossRefPubMed
26.
Zurück zum Zitat Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA. 2005;294(7):813–8.CrossRefPubMed Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA. 2005;294(7):813–8.CrossRefPubMed
27.
Zurück zum Zitat Oppert M, Engel C, Brunkhorst FM, Bogatsch H, Reinhart K, Frei U, Eckardt KU, Loeffler M, John S. Acute renal failure in patients with severe sepsis and septic shock--a significant independent risk factor for mortality: results from the German prevalence study. Nephrol Dial Transplant. 2008;23(3):904–9.CrossRefPubMed Oppert M, Engel C, Brunkhorst FM, Bogatsch H, Reinhart K, Frei U, Eckardt KU, Loeffler M, John S. Acute renal failure in patients with severe sepsis and septic shock--a significant independent risk factor for mortality: results from the German prevalence study. Nephrol Dial Transplant. 2008;23(3):904–9.CrossRefPubMed
29.
Zurück zum Zitat Peng ZY, Wang HZ, Srisawat N, Wen X, Rimmele T, Bishop J, Singbartl K, Murugan R, Kellum JA. Bactericidal antibiotics temporarily increase inflammation and worsen acute kidney injury in experimental sepsis. Crit Care Med. 2012;40(2):538–43.CrossRefPubMedPubMedCentral Peng ZY, Wang HZ, Srisawat N, Wen X, Rimmele T, Bishop J, Singbartl K, Murugan R, Kellum JA. Bactericidal antibiotics temporarily increase inflammation and worsen acute kidney injury in experimental sepsis. Crit Care Med. 2012;40(2):538–43.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Formenti F, Chen R, McPeak H, Murison PJ, Matejovic M, Hahn CE, Farmery AD. Intra-breath arterial oxygen oscillations detected by a fast oxygen sensor in an animal model of acute respiratory distress syndrome. Br J Anaesth. 2015;114(4):683–8.CrossRefPubMedPubMedCentral Formenti F, Chen R, McPeak H, Murison PJ, Matejovic M, Hahn CE, Farmery AD. Intra-breath arterial oxygen oscillations detected by a fast oxygen sensor in an animal model of acute respiratory distress syndrome. Br J Anaesth. 2015;114(4):683–8.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Bruhn A, Bugedo D, Riquelme F, Varas J, Retamal J, Besa C, Cabrera C, Bugedo G. Tidal volume is a major determinant of cyclic recruitment-derecruitment in acute respiratory distress syndrome. Minerva Anestesiol. 2011;77(4):418–26.PubMed Bruhn A, Bugedo D, Riquelme F, Varas J, Retamal J, Besa C, Cabrera C, Bugedo G. Tidal volume is a major determinant of cyclic recruitment-derecruitment in acute respiratory distress syndrome. Minerva Anestesiol. 2011;77(4):418–26.PubMed
32.
Zurück zum Zitat Retamal J, Bugedo G, Larsson A, Bruhn A. High PEEP levels are associated with overdistension and tidal recruitment/derecruitment in ARDS patients. Acta Anaesthesiol Scand. 2015;59(9):1161–9.CrossRefPubMed Retamal J, Bugedo G, Larsson A, Bruhn A. High PEEP levels are associated with overdistension and tidal recruitment/derecruitment in ARDS patients. Acta Anaesthesiol Scand. 2015;59(9):1161–9.CrossRefPubMed
33.
Zurück zum Zitat Retamal J, Libuy J, Jimenez M, Delgado M, Besa C, Bugedo G, Bruhn A. Preliminary study of ventilation with 4 ml/kg tidal volume in acute respiratory distress syndrome: feasibility and effects on cyclic recruitment - derecruitment and hyperinflation. Crit Care. 2013;17(1):R16.CrossRefPubMedPubMedCentral Retamal J, Libuy J, Jimenez M, Delgado M, Besa C, Bugedo G, Bruhn A. Preliminary study of ventilation with 4 ml/kg tidal volume in acute respiratory distress syndrome: feasibility and effects on cyclic recruitment - derecruitment and hyperinflation. Crit Care. 2013;17(1):R16.CrossRefPubMedPubMedCentral
34.
Zurück zum Zitat Ballard-Croft C, Wang D, Sumpter LR, Zhou X, Zwischenberger JB. Large-animal models of acute respiratory distress syndrome. Ann Thorac Surg. 2012;93(4):1331–9.CrossRefPubMed Ballard-Croft C, Wang D, Sumpter LR, Zhou X, Zwischenberger JB. Large-animal models of acute respiratory distress syndrome. Ann Thorac Surg. 2012;93(4):1331–9.CrossRefPubMed
35.
Zurück zum Zitat Wang HM, Bodenstein M, Markstaller K. Overview of the pathology of three widely used animal models of acute lung injury. Eur Surg Res. 2008;40(4):305–16.CrossRefPubMed Wang HM, Bodenstein M, Markstaller K. Overview of the pathology of three widely used animal models of acute lung injury. Eur Surg Res. 2008;40(4):305–16.CrossRefPubMed
36.
Zurück zum Zitat Bodenstein M, Wang H, Boehme S, Baumgardner JE, Duenges B, Vogt A, David M, Markstaller K. Observation of ventilation-induced Spo(2) oscillations in pigs: first step to noninvasive detection of cyclic recruitment of atelectasis? Exp Lung Res. 2010;36(5):270–6.CrossRefPubMed Bodenstein M, Wang H, Boehme S, Baumgardner JE, Duenges B, Vogt A, David M, Markstaller K. Observation of ventilation-induced Spo(2) oscillations in pigs: first step to noninvasive detection of cyclic recruitment of atelectasis? Exp Lung Res. 2010;36(5):270–6.CrossRefPubMed
37.
Zurück zum Zitat Karmrodt J, Bletz C, Yuan S, David M, Heussel CP, Markstaller K. Quantification of atelectatic lung volumes in two different porcine models of ARDS. Br J Anaesth. 2006;97(6):883–95.CrossRefPubMed Karmrodt J, Bletz C, Yuan S, David M, Heussel CP, Markstaller K. Quantification of atelectatic lung volumes in two different porcine models of ARDS. Br J Anaesth. 2006;97(6):883–95.CrossRefPubMed
38.
Zurück zum Zitat Formenti F, Chen R, McPeak H, Matejovic M, Farmery AD, Hahn CE. A fibre optic oxygen sensor that detects rapid PO2 changes under simulated conditions of cyclical atelectasis in vitro. Respir Physiol Neurobiol. 2014;191:1–8.CrossRefPubMedPubMedCentral Formenti F, Chen R, McPeak H, Matejovic M, Farmery AD, Hahn CE. A fibre optic oxygen sensor that detects rapid PO2 changes under simulated conditions of cyclical atelectasis in vitro. Respir Physiol Neurobiol. 2014;191:1–8.CrossRefPubMedPubMedCentral
Metadaten
Titel
Cyclic PaO2 oscillations assessed in the renal microcirculation: correlation with tidal volume in a porcine model of lung lavage
verfasst von
Rainer Thomas
Christian Möllmann
Alexander Ziebart
Tanghua Liu
Matthias David
Erik K. Hartmann
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Anesthesiology / Ausgabe 1/2017
Elektronische ISSN: 1471-2253
DOI
https://doi.org/10.1186/s12871-017-0382-7

Weitere Artikel der Ausgabe 1/2017

BMC Anesthesiology 1/2017 Zur Ausgabe

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.