- Open Access
Non-invasive monitoring of oxygen delivery in acutely ill patients: new frontiers
© Perel. 2015
Received: 19 July 2015
Accepted: 6 September 2015
Published: 17 September 2015
Hypovolemia, anemia and hypoxemia may cause critical deterioration in the oxygen delivery (DO2). Their early detection followed by a prompt and appropriate intervention is a cornerstone in the care of critically ill patients. And yet, the remedies for these life-threatening conditions, namely fluids, blood and oxygen, have to be carefully titrated as they are all associated with severe side-effects when administered in excess. New technological developments enable us to monitor the components of DO2 in a continuous non-invasive manner via the sensor of the traditional pulse oximeter. The ability to better assess oxygenation, hemoglobin levels and fluid responsiveness continuously and simultaneously may be of great help in managing the DO2. The non-invasive nature of this technology may also extend the benefits of advanced monitoring to wider patient populations.
The concept of oxygen delivery (DO2)
Normally, about 1000 ml of oxygen (O2) is delivered to the tissues each minute. This amount of O2 is termed ‘oxygen delivery’ (DO2). The DO2 is dependent on the cardiac output (CO) and on the arterial O2 content (CaO2) which is the amount of O2 that is carried by a 100 ml of arterial blood. Hence the DO2 is calculated by the multiplication of these two components—DO2 = CO × CaO2 × 10. In turn, the CaO2 is dependent on the hemoglobin (Hgb) concentration, the O2 saturation (SaO2) and the partial pressure of O2 (PaO2), as can be seen in the following formula—CaO2 = Hgb × 1.39 × SaO2 + (PaO2 × 0.0032).
Since the concept of DO2 conveniently summarizes the overall function of both circulation and oxygenation, it has been repeatedly used as a therapeutic ‘goal’ in both critically ill and high-risk surgical patients. For example, only recently it was shown that achievement of preoperative DO2 values in the postoperative phase was associated with less morbidity in patients undergoing high-risk elective surgery .
What can be of great help in this uncertain environment is our improved ability to monitor the individual physiological variables that determine the DO2. This review attempts to describe some of the newly introduced technologies that enable us to do so, continuously and non-invasively, via the existing sensor of the pulse oximeter. However, like all other cardiorespiratory variables, these novel parameters have inherent limitations, inaccuracies and confounding factors. In addition, validation studies of these variables have been mostly carried out in the perioperative environment, and their validation in critically unstable patients is still lacking. In spite of these limitations, the non-invasive nature of these technologies and their potential to offer new insights in wider patient populations, represent true advancement in patient monitoring and safety.
Non-invasive monitoring of oxygenation
O2 saturation (SpO2)
The role of pulse oximetry in clinical anesthesia and in intensive care has evolved to the point where it is unlikely that we will ever be able to do without it . Indeed the routine monitoring of SpO2 has greatly improved patient safety, as evidenced by the marked decrease in the proportion of malpractice claims due to respiratory events during anesthesia . And yet, hypoxemia continues to occur commonly in the operating room  and in the post-anesthesia care unit (PACU) . In the ICU SpO2 is often used to titrate the FiO2 (see later) but has also been recently suggested to play a role in the definition of ARDS. For the definition of ARDS in pediatric patients it is suggested that pulse oximetry-based criteria be used when PaO2 is unavailable, and that the oxygen saturation index (SpO2/FiO2) replace the PaO2/FiO2 ratio . For the definition of ARDS in adults, it was recently suggested that the PaO2/FiO2 ratio should be calculated under standardized ventilator settings of PEEP (10 mmHg) and FiO2 (0.5), unless the SpO2 is below 88 % . Obviously a robust SpO2 monitor is needed in such circumstances  which may often be also associated with decreased perfusion.
In view of its impact on patient safety we may want to consider using pulse oximetry in more instances and environments. For example, it was recently reported that hypoxemia is prevalent in patients on arrival to the PACU, and that in only few of these patients it could be identified clinically by anesthetists and nurses . Considering the uncertainty about the deleterious effects of transient short-lasting hypoxemia, the authors advocate the routine use of pulse oximetry for patient transfer to the PACU. What about monitoring SpO2 in patients on the general ward? Analysis of signs and symptoms considered by nurses as indicators of patient deterioration on the general ward and a reason for ‘worry’ calls to rapid-response teams has revealed that they include, first and foremost, change in breathing and a decrease in SpO2 . The introduction of a pulse oximetry and respiratory rate-based patient surveillance system (SafetyNet, Masimo, Irvine, CA, USA) with nursing alarm notification via wireless pager in a 36-bed orthopedic unit, resulted in a significant decrease in rescue events and in ICU transfers . The recent PERISCOPE study has found that about 4.2 % of surgical patients develop postoperative respiratory failure (PRF) which carries an in-hospital mortality of 10.3 vs. 0.4 % in the rest of the patients . The authors of this study conclude that high-risk surgical patients who may be prone to develop PRF, should be allocated to more experienced physicians, who can make full use of the range of available resources for their postoperative monitoring and treatment. We can therefore expect that in the future the monitoring of SpO2 will become more prevalent in the general wards of acute care hospitals.
And yet we have to remind ourselves the limitations of SpO2 monitoring, the main one being that pulse oximetry is a useful tool to assess ventilator abnormalities, but only in the absence of supplemental inspired oxygen. For example, severe hypoventilation that occurs when the inspired FiO2 is 0.3, may result in both the partial pressures of CO2 (PaCO2) and O2 (PaO2) values to be around 100 mmHg each, without any change in the SpO2 . This limitation may have important safety consequences to patients who are recovering from anesthesia, undergoing procedural sedation or receive potent opioids. In a recent review of 357 acute pain claims from the Anesthesia Closed Claims Project database, 92 cases involved likely opioid-related respiratory depression . The vast majority of these injuries occurred within 24 h of surgery, resulted in death or severe brain damage, and was judged as preventable with better monitoring and response. Thirty-three percent of these patients were monitored by pulse oximeters and 15 % were receiving oxygen . It is obvious that a more effective mean of ventilatory monitoring, such as capnography or the monitoring of respiratory rate , should be used more frequently in all patients who are susceptible to develop respiratory depression, especially when they are being administered supplemental oxygen.
Oxygen reserve index (ORI)
From the equation that describes the CaO2 it is obvious that the partial pressure of O2 (PaO2) does not contribute significantly to DO2. However, during acute anemia, increasing the PaO2 by hyperoxic ventilation establishes a highly available source of O2 that can be effectively utilized for tissue oxygenation . More frequently, however, the PaO2 is used to assess the status of oxygenation during supplemental oxygen administration, where the SpO2 may no longer be informative. This requires blood gas sampling and analysis that is intermittent and delayed. Between invasive sampling, changes in PaO2 cannot be assessed and therefore unexpected hypoxia or unintended hyperoxia may go unnoticed.
The administration of high levels of inspired O2 before tracheal intubation (pre-oxygenation) is considered to be a routine practice as oxygen reserves are not always sufficient to prevent hypoxia during the duration of intubation . The ORI may make this process visible, ensuring that the PaO2 is indeed rising in the presence of a constant maximal SpO2 level. The ORI may eventually become a performance indicator, attesting to the fact that pre-oxygenation has indeed been properly performed. Monitoring the ORI may be especially important in the presence of predictive risk factors for inadequate pre-oxygenation, which overlap with criteria predictive of difficult mask ventilation . It may also be extremely important during pre-oxygenation before suctioning hypoxemic patients , during emergency rapid sequence induction , in obese patients , during intubation in the ICU , and especially in hypoxic patients who may require non-invasive ventilation before intubation .
The ORI may provide early warning of impending hypoxia before any changes in SpO2 occur (Fig. 2). In anesthetized pediatric patients the mean time (±SD) from the start of the ORI alarm to a decrease in SpO2 below 98 %and from SpO2 98 to 90 % was 40 ± 523 and 52 ± 44 s, respectively (Szmuk P., et al. American Society of Anesthesiologists Annual Meeting, October 14, 2014. New Orleans; BOC12). In another recent trial in 103 anesthetized adult patients, ORI could be calculated ~91.5 % of monitored time, and was positively correlated with PaO2 values ≤240 mmHg but not with PaO2 >240 mmHg. PaO2 was ≥150 mmHg in 96.5 % of ORI >0.54, and was >100 mmHg for all ORI >0.24 (Applegate R, et al. S-377: International Anesthesia Research Society 2015 Annual Meeting, March 23, Honolulu, Hawaii). The early warning that the ORI provides before any decrease in SpO2 occurs may provide precious time for an earlier detection of the event and the provision of timely remedial measures.
Traditionally O2 is considered as a drug that may cause toxicity and current guidelines recommend using the lowest FiO2 possible. The importance of avoiding hyperoxemia has been recognized in both anesthetized  and in critically ill patients, especially those with ARDS . However, it was recently proposed to consider resetting the target range for arterial oxygenation higher (85–110 mm Hg) as a potential strategy to improve the long-term outcomes (cognitive and physical impairment) of ARDS survivors . Others claim that hyperoxia may be beneficial in septic shock and other acute clinical situations [27, 28]. Unintended hyperoxia seems to be quite common. According to a large Dutch study including 126,778 arterial blood gas samples from 5498 mechanically ventilated patients, hyperoxia (PaO2 was >120 mmHg) was found in 22 % of the samples but in only 25 % of these instances was the FiO2 decreased, implying that hyperoxia was accepted without adjustment in ventilator settings if FiO2 was 0.4 or lower . Taking all the above into consideration, it is clear that the ORI may facilitate a more accurate control of the FiO2 in patients receiving O2 as it may identify and help prevent unwarranted hyperoxia. A spontaneous increase in the ORI may also be the first sign of pulmonary improvement in patients with respiratory failure.
Non-invasive monitoring of hemoglobin (SpHb)
The other major component of the CaO2 besides the SpO2 is the hemoglobin (Hgb) concentration, which can now be measured via the pulse oximeter sensor by the new multiple wavelength pulse co-oximetry technology . The continuous non-invasive measurement of hemoglobin (SpHb) allows a real-time identification of changes in Hb concentration between invasive blood sampling. This measurement may potentially prevent unnecessary transfusions and their associated complication, as well as identify undetected bleeding.
Red blood cell (RBC) transfusion is one of the most frequent procedures performed in acute care hospitals. However, transfusion practices are highly variable across countries, institutions, procedures and physicians [31, 32]. This variability most probably reflects a true controversy about the pros and cons of transfusion, but is also due in large part to lack of education and deeply ingrained ‘historical’ beliefs. Restrictive transfusion practices have been gaining a wider acceptance since the publication of the TRICC study in 1999, where the use of a Hb level of 7 mg/dL as a transfusion trigger was shown to be at least as effective as, and possibly superior to, a liberal transfusion strategy in critically ill patients, with the possible exception of patients with acute myocardial infarction and unstable angina . Similarly, a restrictive strategy with Hb transfusion trigger of 7 or 8 g/dL was shown to be non-inferior to liberal transfusion strategy in postoperative orthopedic  and in cardiac surgery  patients. As a result of these and other similar studies, most clinical practice guidelines recommend restrictive RBC transfusion practices.
The rationale for restrictive transfusion strategy stems from the recognition that exposure to allogeneic blood is associated with many potential complications, including infection, mis-transfusion, ABO-incompatibility, transfusion reaction, transfusion-related acute lung injury (TRALI), transfusion-associated circulatory overload (TACO), elevated risk of cancer, and more . Another major factor in the move to restrict transfusion is the significant cost that is involved, since the true cost, including processing, storage, viral testing, and other overhead costs, amounts to three to four times the acquisition cost . For example, one study recently stated that even a 10 % reduction in RBC in a large US institution would result in more than $1,000,000 in blood acquisition cost savings .
In spite of the recommendations to use restrictive transfusion strategies, it seems that many clinicians still use a more liberal transfusion strategy, often termed the “10/30 rule” (Hb of 10 g/dl, hematocrit of 30 %) . There may be a few reasons for this discrepancy. The first one, and probably the most common one, is the clinician’s fear of severe anemia especially when further bleeding is anticipated. In addition, preoperative anemia, even to a mild degree, has been recently shown to be independently associated with an increased risk of 30-day morbidity and mortality in patients undergoing major non-cardiac surgery . A more forgiving attitude to perioperative blood transfusion may also be due to the practice of goal-directed therapy (GDT) which advocates maximizing cardiac output (CO) and DO2. For example, in the very recent POM-O study, in which achievement of preoperative DO2 values in the postoperative phase was attempted in high-risk surgical patients, the number of patients that received blood transfusion intra- and postoperatively in the GDT group was nearly double than the number in the control group . Other reasons for not adhering to a restrictive transfusion regimen may include the growing perception that transfusion trigger in the individual patient is too complex and important to be guided by a single Hb value alone [39, 40]. In addition, the widely circulated recommendations of the Surviving Sepsis Campaign regarding blood transfusion in patients with septic shock include a recommendation for transfusion to maintain a hematocrit of more than 30 % in the presence of hypoperfusion in the first 6 h . This recommendation, by the way, has not been supported by a recent large trial where a transfusion trigger of 7 g/dL, as compared with transfusion of 9 g/dL, led to fewer transfusions but similar mortality at 90 days in patients with septic shock .
The introduction of continuous non-invasive SpHb monitoring may be potentially helpful in preventing unnecessary transfusion as it may allow clinicians to more confidently manage patients at lower Hb levels with the knowledge that further drops into a critical anemic range will become readily apparent . Thus, a stable or a rising SpHb trend may convince the clinician that additional transfusion may be unnecessary, especially when there is a delay in receiving laboratory hemoglobin values . Indeed many decisions to transfuse, especially in the operating room, are not preceded by Hb measurement [31, 43]. Adding SpHb monitoring to standard of care blood management resulted in a significant decrease in blood utilization in high blood loss neurosurgery  and during elective orthopedic surgery .
Additionally, and of more potential importance, is the ability of a dropping SpHb trend to alert the clinician to the possible presence of undetected bleeding [30, 36, 43, 44]. This may be of special importance in obstetrics and in spinal surgery which have been found to be overrepresented in the recent report from the Anesthesia Closed Claims Project on massive hemorrhage . Common to many of these cases that ended up in litigation were lack of timely diagnosis, lack of timely transfusion, and reoperation .
Importantly, SpHb monitoring is not yet as accurate as laboratory hemoglobin, and it is therefore not intended today as its replacement. Its value-added benefits should be considered as supplementing intermittent, delayed laboratory values with continuous, real-time visibility of whether Hb is stable, increasing, or decreasing . The accuracy of SpHb measurement may, however, be improved by in vivo adjustment using reference Hb values . In addition, the initial algorithm of the SpHb has been significantly improved and further validation studies are under way. While awaiting these promising developments, clinicians should be cautious when making clinical decisions based on individual values of the SpHb. Nevertheless, the information provided by changes in the trended SpHb may be helpful in guiding transfusion decisions.
Non-invasive monitoring of fluid responsiveness
New pulse oximeter sensors offer the continuous non-invasive measurement of the plethysmographic variation index (PVI), which is a measure of the respiratory-induced variations in the plethysmographic waveform which, in mechanically ventilated patients and under certain conditions, may reflect fluid responsiveness (FR) [48, 49]. FR, in turn, is the degree by which the cardiac output CO responds to a modification of preload, and its assessment may facilitate decisions regarding fluid management, at times better than the CO itself [50, 51].
Indeed, the CO is a main determinant of DO2 and as such, should be monitored in severely ill patients. However, CO is not measured very often in clinical practice due to issues of availability, invasiveness, cost, inaccuracy, and lack of belief in its value. In addition, the CO has a few significant limitations. The optimal CO in an individual patient is difficult to determine, a ‘normal’ or even high CO does not preclude the presence of inadequate tissue perfusion, a low CO value does not tell us what to do (fluids? inotropes?). Finally, in and by itself, the CO does not predict FR . Hence, in order to correctly interpret the CO we need to combine several variables before deciding whether CO is adequate and how it can be optimized in the most effective manner .
The actual monitoring of CO has increased significantly in recent years with the growing practice of perioperative GDT, which is largely based on CO maximization with fluids, with or without the addition of inotropes. This practice has usually resulted in larger amounts of fluids, usually colloids, being given to the patients receiving GDT [1, 54]. In spite of the earlier evidence and appeal of GDT that is based on CO maximization, many recent studies have failed to demonstrate its efficacy [1, 54, 55]. It may well be that GDT has frequently failed to improve outcome because it was based on CO (or stroke volume) maximization only, without taking into account FR, namely, predicting whether the patient is going to respond to fluids before the actual administration of fluids . This problem has been inadvertently highlighted in a recent observational sub-study of the OPTIMISE trial , which included 100 of the 368 patients allocated to the CO-guided hemodynamic therapy algorithm . According to the results of this study, which by the way was critical of the predictive accuracy of dynamic parameters, only 159 (28.6 %) of 556 fluid challenges were associated with an increase in the stroke volume. The significance of this report cannot be underestimated. If, in one of the most significant trials of GDT, more than 70 % of fluid challenges were administered to “non-responders”, there must be a fundamental problem with this approach. A much more logical approach was stated in a recent review, namely, that fluids should be administered only when patients require augmentation of their perfusion and are also volume-responsive .
The use of dynamic parameters, such as the systolic pressure variation (SPV), pulse pressure variation (PPV) and stroke volume variation (SVV), to assess FR in mechanically ventilated patients has become very prevalent in recent years [50, 51]. Basically, this approach is based on the assessment of the response of the left ventricular stroke volume (or any of its surrogates) to the preload-modifying effect of the mechanical breath, which serves as a repetitive hemodynamic challenge [50, 51]. The PVI is another dynamic parameter that can assess FR through the pulse oximeter sensor in a non-invasive manner and in the absence of an arterial line. The PVI is calculated as [(PImax − PImin)/PImax] × 100, where PImax and PImin represent the maximal and the minimal values, respectively, of the plethysmographic perfusion index (PI, the ratio of non-pulsatile to pulsatile blood flow through the peripheral capillary bed) over one respiratory cycle [59, 60].
As with other dynamic parameters, the greater the PVI the more likely the patient will respond to fluid administration. A PVI >14 % before volume expansion was found to discriminate between ‘responders’ and ‘non-responders’ with 81 % sensitivity and 100 % specificity , and similar cut-off values were found by others as well. The PVI was shown to be similar to the PPV and SVV in its predictive ability of FR [49, 62]. Additionally, a higher PVI is correlated with a greater response of the CO to volume expansion [49, 61, 62].
The potential benefit of using the PVI to guide fluid management is demonstrated in 3 separate studies, in which intraoperative PVI-guided fluid management resulted in significantly less fluids being administered compared with the control standard therapy group [63–65]. In the most recent study, where PVI was used as part of an Enhanced Recovery protocol, fluids were administered only when the PVI exceeded 13 %, resulting in decreased intra-operative net fluid balance from 2733 to 848 ml . These results stand in contradistinction to GDT studies where the intervention group traditionally received more fluids. They also support our earlier recommendation that FR should be assessed by dynamic parameters, when appropriate, before any fluids are administered . Hence the PVI may prevent unnecessary and potentially damaging fluid overload as low PVI values mean that the patient is most probably not going to respond to fluids. At the same time, high PVI values may alert the clinician to the development of hypovolemia that may not be reflected by other commonly measured parameters [50, 51].
The PVI has the same limitations as all other dynamic parameters, the main ones being the presence of spontaneous ventilation, arrhythmias, too high or too low tidal volumes, and right heart failure . Spontaneous ventilation does indeed preclude the use of the PVI for the prediction of FR. However, excessive large variations in the plethysmographic waveform during spontaneous ventilation should not be ignored as they may be an important sign of increased respiratory effort. A high PVI value during spontaneous ventilation, termed sPVI, has been recently shown to be a most sensitive sign of upper airway obstruction . Like with all other dynamic parameters, a good predictive ability of FR necessitates a tidal volume of at least 7 ml/kg and will be reduced when lower tidal volumes are employed. In addition, the PVI may be less reliable than PPV and SVV for predicting FR in critically ill patients receiving norepinephrine . One should bear in mind, however, that this monitoring modality should be reserved for patients for whom it is accurate and for whom no other dynamic parameter is available, or, in the words of Cannesson, “no high heels on the farm; no clogs to the opera” .
The power of the multi-parametric approach
The most advanced version of the pulse oximeter offers, in addition to SpO2, new parameters such as the ORI, the SpHb and the PVI, which are all related to DO2. However, knowing the value of the DO2 may not be helpful without knowing the values of its individual components. On the other hand, discussing these parameters individually, as was done in this review, carries the risk of missing the power that a multi-parametric approach brings to cardiorespiratory monitoring. Each parameter that we measure has inherent limitations, confounding factors and inaccuracies. It is only by combining these parameters together that we can make best use of our monitors. The combination of SpO2 and the newly introduced ORI allows a better assessment of the oxygenation status in patients receiving oxygen, while the addition of capnography or respiratory rate monitor may better identify ventilatory problems. The SpHb can greatly facilitate patient blood management, and yet transfusion decisions should take into account other factors as well. For example, the combination of SpHb and the PVI may be especially useful as a low the level of the latter may help the clinician to withhold blood transfusion even if the SpHb is low. The PVI itself does predict FR and yet FR in and by itself is not an indication for fluid administration. The combination of all these (and other) parameters offers us a more holistic understanding of the pathophysiological status of the acutely ill patient. Such understanding is crucial for making the right decisions in a timely manner and for preventing the severe potential side-effects of our very potent therapies, namely fluids, blood and oxygen.
Compliance with ethical guidelines
Competing interests Prof. Perel has received honoraria and refunds of travel expenses from BMEYE (Amsterdam, The Netherlands), Imacor (New York, NY, USA), Masimo (Irvine, CA, USA), and Pulsion Medical Systems SE (Feldkirchen, Germany).
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.
- Ackland GL, Iqbal S, Paredes LG, et al. Individualised oxygen delivery targeted haemodynamic therapy in high-risk surgical patients: a multicentre, randomised, double-blind, controlled, mechanistic trial. Lancet Respir Med. 2015;3:33–41.View ArticlePubMedGoogle Scholar
- Schwartz S, Frantz RA, Shoemaker WC. Sequential hemodynamic and oxygen transport responses in hypovolemia, anemia, and hypoxia. Am J Physiol. 1981;241:H864–71.PubMedGoogle Scholar
- Shah A, Shelley KH. Is pulse oximetry an essential tool or just another distraction? The role of the pulse oximeter in modern anesthesia care. J Clin Monit Comput. 2013;27:235–42.View ArticlePubMedGoogle Scholar
- Lee LA, Domino KB. The closed claims project. has it influenced anesthetic practice and outcome? Anesthesiol Clin North Am. 2002;20:485–501.View ArticleGoogle Scholar
- Ehrenfeld JM, Funk LM, Van Schalkwyk J, et al. The incidence of hypoxemia during surgery: evidence from two institutions. Can J Anaesth. 2010;57:888–97.PubMed CentralView ArticlePubMedGoogle Scholar
- Epstein RH, Dexter F, Lopez MG, Ehrenfeld JM. Anesthesiologist staffing considerations consequent to the temporal distribution of hypoxemic episodes in the postanesthesia care unit. Anesth Analg. 2014;119:1322–33.View ArticlePubMedGoogle Scholar
- Khemani RG, Rubin S, Belani S, et al. Pulse oximetry vs. PaO2 metrics in mechanically ventilated children: berlin definition of ARDS and mortality risk. Intensiv Care Med. 2015;41:94–102.View ArticleGoogle Scholar
- Villar J, Blanco J, del Campo R, et al. Assessment of PaO2/FiO2 for stratification of patients with moderate and severe acute respiratory distress syndrome. BMJ Open. 2015;5:e006812.PubMed CentralView ArticlePubMedGoogle Scholar
- Jubran A. Pulse oximetry. Crit Care. 2015;19:272.PubMed CentralView ArticlePubMedGoogle Scholar
- Aust H, Kranke P, Eberhart LH, et al. Impact of medical training and clinical experience on the assessment of oxygenation and hypoxaemia after general anaesthesia: an observational study. J Clin Monit Comput. 2015;29:415–26.View ArticlePubMedGoogle Scholar
- Douw G, Schoonhoven L, Holwerda T, et al. Nurses’ worry or concern and early recognition of deteriorating patients on general wards in acute care hospitals: a systematic review. Crit Care. 2015;19:230.PubMed CentralView ArticlePubMedGoogle Scholar
- Taenzer AH, Pyke JB, McGrath SP, Blike GT. Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology. 2010;112:282–7.View ArticlePubMedGoogle Scholar
- Canet J, Sabate S, Mazo V, et al. Development and validation of a score to predict postoperative respiratory failure in a multicentre European cohort: a prospective, observational study. Eur J Anaesthesiol. 2015 Feb 13. (Epub ahead of print).Google Scholar
- Fu ES, Downs JB, Schweiger JW, Miguel RV, Smith RA. Supplemental oxygen impairs detection of hypoventilation by pulse oximetry. Chest. 2004;126:1552–8.View ArticlePubMedGoogle Scholar
- Lee LA, Caplan RA, Stephens LS, et al. Postoperative opioid-induced respiratory depression: a closed claims analysis. Anesthesiology. 2015;122:659–65.View ArticlePubMedGoogle Scholar
- Kelley SD, Ramsay MA. Respiratory rate monitoring: characterizing performance for emerging technologies. Anesth Analg. 2014;119:1246–8.View ArticlePubMedGoogle Scholar
- Lauscher P, Mirakaj V, Koenig K, Meier J. Why hyperoxia matters during acute anemia. Minerva Anestesiol. 2013;79:643–51.PubMedGoogle Scholar
- Bouroche G, Bourgain JL. Pre-oxygenation and general anesthesia: a review. Minerva Anestesiol. 2015;81:910–20.PubMedGoogle Scholar
- Day T, Farnell S, Wilson-Barnett J. Suctioning: a review of current research recommendations. Intensiv Crit Care Nurs. 2002;18:79–89.View ArticleGoogle Scholar
- Gebremedhn EG, Mesele D, Aemero D, Alemu E. The incidence of oxygen desaturation during rapid sequence induction and intubation. World J Emerg Med. 2014;5:279–85.PubMed CentralView ArticlePubMedGoogle Scholar
- Murphy C, Wong DT. Airway management and oxygenation in obese patients. Can J Anaesth. 2013;60:929–45.View ArticlePubMedGoogle Scholar
- Lapinsky SE. Endotracheal intubation in the ICU. Crit Care. 2015;19:258.PubMed CentralView ArticlePubMedGoogle Scholar
- Baillard C, Fosse JP, Sebbane M, et al. Noninvasive ventilation improves preoxygenation before intubation of hypoxic patients. Am J Respir Crit Care Med. 2006;174:171–7.View ArticlePubMedGoogle Scholar
- Martin DS. Grocott MPW. III. Oxygen therapy in anaesthesia: the yin and yang of O2. Br J Anaesth. 2013;111:867–71.View ArticlePubMedGoogle Scholar
- Aggarwal NR, Brower RG. Targeting normoxemia in acute respiratory distress syndrome may cause worse short-term outcomes because of oxygen toxicity. Ann Am Thorac Soc. 2014;11:1449–53.View ArticlePubMedGoogle Scholar
- Mikkelsen ME, Anderson B, Christie JD, et al. Can we optimize long-term outcomes in acute respiratory distress syndrome by targeting normoxemia? Ann Am Thorac Soc. 2014;11:613–8.PubMed CentralView ArticlePubMedGoogle Scholar
- Calzia E, Asfar P, Hauser B, et al. Hyperoxia may be beneficial. Crit Care Med. 2010;38:S559–68.View ArticlePubMedGoogle Scholar
- Asfar P, Singer M, Radermacher P. Understanding the benefits and harms of oxygen therapy. Intensiv Care Med. 2015;41:1118–21.View ArticleGoogle Scholar
- de Graaff AE, Dongelmans DA, Binnekade JM, de Jonge E. Clinicians’ response to hyperoxia in ventilated patients in a Dutch ICU depends on the level of FiO2. Intensiv Care Med. 2011;37:46–51.View ArticleGoogle Scholar
- Berkow L, Rotolo S, Mirski E. Continuous noninvasive hemoglobin monitoring during complex spine surgery. Anesth Analg. 2011;113:1396–402.View ArticlePubMedGoogle Scholar
- Frank SM, Savage WJ, Rothschild JA, et al. Variability in blood and blood component utilization as assessed by an anesthesia information management system. Anesthesiology. 2012;117:99–106.View ArticlePubMedGoogle Scholar
- Bennett-Guerrero E, Zhao Y, O’Brien SM, et al. Variation in use of blood transfusion in coronary artery bypass graft surgery. JAMA. 2010;304:1568–75.View ArticlePubMedGoogle Scholar
- Hebert PC, Wells G, Martin C, et al. Variation in red cell transfusion practice in the intensive care unit: a multicentre cohort study. Crit Care. 1999;3:57–63.PubMed CentralView ArticlePubMedGoogle Scholar
- Carson JL, Terrin ML, Noveck H, et al. Liberal or restrictive transfusion in high-risk patients after hip surgery. N Engl J Med. 2011;365:2453–62.PubMed CentralView ArticlePubMedGoogle Scholar
- Hajjar LA, Vincent JL, Galas FR, et al. Transfusion requirements after cardiac surgery: the TRACS randomized controlled trial. JAMA. 2010;304:1559–67.View ArticlePubMedGoogle Scholar
- McEvoy MT, Shander A. Anemia, bleeding, and blood transfusion in the intensive care unit: causes, risks, costs, and new strategies. Am J Crit Care. 2013;22:eS1–13.View ArticlePubMedGoogle Scholar
- Shander A, Hofmann A, Ozawa S, et al. Activity-based costs of blood transfusions in surgical patients at four hospitals. Transfusion. 2010;50:753–65.View ArticlePubMedGoogle Scholar
- Musallam KM, Tamim HM, Richards T, et al. Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study. Lancet. 2011;378:1396–407.View ArticlePubMedGoogle Scholar
- Gutsche JT, Kohl BA. When to transfuse: is it any surprise that we still don’t know? Crit Care Med. 2014;42:2647–8.View ArticlePubMedGoogle Scholar
- Vincent JL. Indications for blood transfusions: too complex to base on a single number? Ann Int Med. 2012;157:71–2.View ArticlePubMedGoogle Scholar
- Dellinger RP, Levy MM, Rhodes A, et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensiv Care Med. 2013;39:165–228.View ArticleGoogle Scholar
- Holst LB, Haase N, Wetterslev J, et al. Lower versus higher hemoglobin threshold for transfusion in septic shock. N Engl J Med. 2014;371:1381–91.View ArticlePubMedGoogle Scholar
- Ehrenfeld JM, Henneman JP, Bulka CM, Sandberg WS. Continuous non-invasive hemoglobin monitoring during orthopedic surgery: a randomized trial. J Blood Disord Transf. 2014;5:237.Google Scholar
- Awada WN, Mohmoued MF, Radwan TM, et al. Continuous and noninvasive hemoglobin monitoring reduces red blood cell transfusion during neurosurgery: a prospective cohort study. J Clin Monit Comput. 2015 Feb 4. (Epub ahead of print).Google Scholar
- Dutton RP, Lee LA, Stephens LS, Posner KL, Davies JM, Domino KB. Massive hemorrhage: a report from the Anesthesia Closed Claims Project. Anesthesiology. 2014;121:450–68.View ArticlePubMedGoogle Scholar
- Barker SJ, Shander A, Ramsay MA. Continuous noninvasive hemoglobin monitoring: a measured response to a critical review. Anesth Analg 2015 Mar 5. (Epub ahead of print).Google Scholar
- Frasca D, Mounios H, Giraud B, et al. Continuous monitoring of haemoglobin concentration after in vivo adjustment in patients undergoing surgery with blood loss. Anaesthesia 2015 Feb 13. (Epub ahead of print).Google Scholar
- Cannesson M, Delannoy B, Morand A, et al. Does the pleth variability index indicate the respiratory-induced variation in the plethysmogram and arterial pressure waveforms? Anesth Analgesia. 2008;106:1189–94.View ArticleGoogle Scholar
- Loupec T, Nanadoumgar H, Frasca D, et al. Pleth variability index predicts fluid responsiveness in critically ill patients. Crit Care Med. 2011;39:294–9.View ArticlePubMedGoogle Scholar
- Perel A, Pizov R, Cotev S. Respiratory variations in the arterial pressure during mechanical ventilation reflect volume status and fluid responsiveness. Intensiv Care Med. 2014;40:798–807.View ArticleGoogle Scholar
- Perel A, Habicher M, Sander M. Bench-to-bedside review: functional hemodynamics during surgery—should it be used for all high-risk cases? Crit Care. 2013;17:203.PubMed CentralView ArticlePubMedGoogle Scholar
- Velissaris D, Pierrakos C, Scolletta S, et al. High mixed venous oxygen saturation levels do not exclude fluid responsiveness in critically ill septic patients. Crit Care. 2011;15:R177.PubMed CentralView ArticlePubMedGoogle Scholar
- Vincent JL, Pelosi P, Pearse R, et al. Perioperative cardiovascular monitoring of high-risk patients: a consensus of 12. Crit Care. 2015;19:224.PubMed CentralView ArticlePubMedGoogle Scholar
- Pearse RM, Harrison DA, MacDonald N, et al. Effect of a perioperative, cardiac output-guided hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and systematic review. JAMA. 2014;311:2181–90.View ArticlePubMedGoogle Scholar
- Pestana D, Espinosa E, Eden A, et al. Perioperative goal-directed hemodynamic optimization using noninvasive cardiac output monitoring in major abdominal surgery: a prospective, randomized, multicenter, pragmatic trial. Anesth Analg. 2014;119:579–87.View ArticlePubMedGoogle Scholar
- Perel A. Goal-directed therapy: some remaining questions. ICU Manag. 2015;14:8–12.Google Scholar
- MacDonald N, Ahmad T, Mohr O, et al. Dynamic preload markers to predict fluid responsiveness during and after major gastrointestinal surgery: an observational substudy of the OPTIMISE trial. Brit J Anaesth. 2015;114:598–604.View ArticlePubMedGoogle Scholar
- Navarro LH, Bloomstone JA, Auler JO Jr, et al. Perioperative fluid therapy: a statement from the international fluid optimization group. Perioper Med (Lond). 2015;4:3.PubMed CentralView ArticlePubMedGoogle Scholar
- Cannesson M, Slieker J, Desebbe O, et al. The ability of a novel algorithm for automatic estimation of the respiratory variations in arterial pulse pressure to monitor fluid responsiveness in the operating room. Anesth Analg. 2008;106:1195–200.View ArticlePubMedGoogle Scholar
- Sandroni C, Cavallaro F, Marano C, et al. Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis. Intensiv Care Med. 2012;38:1429–37.View ArticleGoogle Scholar
- Cannesson M, Desebbe O, Rosamel P, et al. Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. Brit J Anaesth. 2008;101:200–6.View ArticlePubMedGoogle Scholar
- Feissel M, Teboul JL, Merlani P, et al. Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients. Intensiv Care Med. 2007;33:993–9.View ArticleGoogle Scholar
- Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth Analg. 2010;111:910–4.PubMedGoogle Scholar
- Thiele RH, Rea KM, Turrentine FE, et al. Standardization of care: impact of an enhanced recovery protocol on length of stay, complications, and direct costs after colorectal surgery. J Am Coll Surg. 2015;220:430–43.View ArticlePubMedGoogle Scholar
- Yu Y, Dong J, Xu Z, et al. Pleth variability index-directed fluid management in abdominal surgery under combined general and epidural anesthesia. J Clin Monit Comput. 2015;29:47–52.View ArticlePubMedGoogle Scholar
- Perel A. Excessive variations in the plethysmographic waveform during spontaneous ventilation: an important sign of upper airway obstruction. Anesth Analg. 2014;119:1288–92.View ArticlePubMedGoogle Scholar
- Monnet X, Guerin L, Jozwiak M, et al. Pleth variability index is a weak predictor of fluid responsiveness in patients receiving norepinephrine. Brit J Anaesth. 2013;110:207–13.View ArticlePubMedGoogle Scholar
- Cannesson M, Manach YL. Noninvasive hemodynamic monitoring: no high heels on the farm; no clogs to the opera. Anesthesiology. 2012;117:937–9.View ArticlePubMedGoogle Scholar