Critical Care and Perioperative MonitoringView this Special Issue
Nexfin Noninvasive Continuous Hemodynamic Monitoring: Validation against Continuous Pulse Contour and Intermittent Transpulmonary Thermodilution Derived Cardiac Output in Critically Ill Patients
Introduction. Nexfin (Bmeye, Amsterdam, Netherlands) is a noninvasive cardiac output (CO) monitor based on finger arterial pulse contour analysis. The aim of this study was to validate Nexfin CO (NexCO) against thermodilution (TDCO) and pulse contour CO (CCO) by PiCCO (Pulsion Medical Systems, Munich, Germany). Patients and Methods. In a mix of critically ill patients (), NexCO and CCO were measured continuously and recorded at 2-hour intervals during the 8-hour study period. TDCO was measured at 0–4–8 hrs. Results. NexCO showed a moderate to good (significant) correlation with TDCO ( 0.68, ) and CCO ( 0.71, ). Bland and Altman analysis comparing NexCO with TDCO revealed a bias (± limits of agreement, LA) of 0.4 ± 2.32 L/min (with 36% error) while analysis comparing NexCO with CCO showed a bias (±LA) of 0.2 ± 2.32 L/min (37% error). NexCO is able to follow changes in TDCO and CCO during the same time interval (level of concordance 89.3% and 81%). Finally, polar plot analysis showed that trending capabilities were acceptable when changes in NexCO (NexCO) were compared to TDCO and CCO (resp., 89% and 88.9% of changes were within the level of 10% limits of agreement). Conclusion. we found a moderate to good correlation between CO measurements obtained with Nexfin and PiCCO.
The true value of continuous hemodynamic monitoring in critically ill patients becomes clear in the light of beat-to-beat changing hemodynamics due to either continuously improving or deteriorating cardiac and disease status [1, 2]. Therefore, the critically ill patient must be resuscitated to a continuously changing optimal left ventricular end-diastolic volume. This should be titrated together with an accurate dose of vasopressor agents and inotropes to optimize circulation and restore end-organ perfusion without causing harm due to excessive fluids . Also, for further decision making, we often want to measure in real-time the hemodynamic effects of ongoing therapeutic interventions. The PiCCO system (PiCCO2, Pulsion Medical Systems, Munich, Germany) uses a dedicated PiCCO thermistor-tipped arterial catheter to analyze the patient’s heart rate and arterial pressure waveform continuously . Due to the unique properties of each patient’s arterial tree, initial calibration of the monitoring system using transpulmonary thermodilution CO measurement (TDCO) improves accuracy of the beat-to-beat cardiac output (CO) obtained by pulse contour analysis (CCO) . The PiCCO device has been validated in numerous studies including burns, medical, and surgical critically ill patients [6–12]. However, PiCCO remains a relative invasive technique that requires both an arterial and a central venous catheter and therefore increases the risk of iatrogenic complications such as pneumothorax, bleeding, catheter sepsis, and deep venous thrombosis [13–15]. Moreover, the need for calibration by transpulmonary thermodilution may delay the initial measurement and is time consuming, and the system is cost intensive and cannot be used prehospital or in a regular ward. The Nexfin (BMEYE, Amsterdam, The Netherlands) device is a totally noninvasive continuous blood pressure and CO (NexCO) monitor based on finger arterial pressure pulse contour analysis. Potential advantages include its noninvasiveness and ease of use. Questions rose on the accuracy of Nexfin measurements in critically ill patients, as there is no initial calibration of the monitoring system to adjust for the unique mechanical properties of each patient’s arterial tree. Moreover, there are concerns about the reliability of continuous noninvasive finger blood pressure derived pulse contour analysis in patients with reduced perfusion of the hand due to high systemic vascular resistance (SVR) or hypothermia. We performed an open observational study in a mix of medical/surgical and burns critically ill patients to validate Nexfin against both TDCO and CCO obtained by PiCCO.
2.1. Study Population
We prospectively studied 47 critically ill patients admitted to the intensive care units of our hospital. Inclusion criteria were hemodynamic instability with need for continuous hemodynamic monitoring and the presence of a central venous (jugular or subclavian) catheter and a PiCCO femoral arterial catheter already in place before inclusion in the study.
2.2. Nexfin Technique
The Nexfin (BMEYE, Amsterdam, The Netherlands) method is based on the measurement of finger arterial pressure by an inflatable cuff around the middle phalange of the finger. The pulsating finger artery is clamped to a constant volume by applying a varying counter pressure equivalent to the arterial pressure using a built-in photoelectric plethysmograph and an automatic algorithm (Physiocal). The resulting finger arterial pressure waveform is reconstructed into a brachial artery pressure waveform by a generalized algorithm. NexCO is calculated by a pulse contour method (CO-TREK) using the measured systolic pressure time integral and the heart’s afterload determined from the Windkessel model .
In an 8-hour period, simultaneous CCO and NexCO measurements were obtained every 2 hours (0–2–4–6–8 hrs, in total 225 paired measurements) while simultaneous TDCO and NexCO were obtained every 4 hours (0–4–8 hrs, in total 135 paired measurements). The CCO and NexCO values were recorded simultaneously by hand 5 min before TDCO was determined by 3 repeated injections of 20 mL of sterile ice-cold saline via the central venous line. Blood pressure measurements were recorded continuously by Nexfin and PiCCO and were by each device used to calculate the continuous CO. Subanalysis was performed for patients with a low MAP (defined as MAP ≤ 70 mmHg), low and high TDCO (defined as ≤ 4 L/min and ≥ 8 L/min), low and high SVRI (defined as an SVRI obtained by PiCCO ≤ 1700 dyne·s·cm−5/m² and ≥ 3000 dyne·s·cm-5/m²), and patients on high dose norepinephrine (≥0.3 μg/kg/min) and hypothermia (°C ≤ 35°C). To assess the ease of use, we measured the time to initial measurement, the number of repositions needed in the 8-hours observation period and also the nurses filled in a questionnaire (see addendum) ( patients).
2.4. Data Analysis and Statistics
Results are presented as mean (±SD) unless otherwise stated. Mean values were compared using student’s -test. Paired CO measurements by 2 different methods were compared statistically using 4 different methods. First, we used Pearson correlation and linear regression analysis. Two methods are considered equal if the line of identity crosses the origin of and -axis and if ( = Pearson’s correlation coefficient) is > 0.6. Second, we calculated bias, precision and limits of agreement (Bland-Altman analysis [17, 18]), and the percentage error (PE, defined as two times SD of the bias over the mean TDCO or CCO) as described by L. A. H. Critchley and J. A. J. H. Critchley . If the differences within bias ±1.96 SD (limits of agreement, LA) are not clinically important, if the precision of the new technique is comparable to the reference technique and if the percentage error is less than 30%, the two methods may be used interchangeably . Third, the ability of NexCO to track changes or trends in TDCO or CCO was assessed by plotting TDCO or CCO against NexCO during the same time interval (four quadrants trend plot). The concordance is calculated as the percentage of pairs with the same direction of change. Based on previous reports, the concordance should be > 90% when pairs with both a TDCO or CCO and NexCO ≤ ±1 L/min (or less than 15% of change) are excluded for analysis . Finally trending capability of the NexCO compared to TDCO and CCO was assessed by polar plots as suggested by Critchley et al. . Concordance analysis looking at direction of changes is a very simple but crude measure of how well 2 measurements trend. Important aspects of the measurement, such as the magnitude of the underlying CO change (CO) and the degree of agreement, are totally ignored. Therefore, Critchley et al. suggested converting the - values to polar coordinates, where agreement is shown by the angle the vector makes with the line of identity () and magnitude of change by the length of the vector . Thus, statistical measures that fully represent the magnitude of CO and its degree of agreement are retained. From these data, a new polar plot that shows agreement as the angle (angle made by CO vector with the line of identity ) against the change in CO as the radian (distance of data point from center of polar plot) can be drawn. Conversion of the Cartesian data with regard to change in cardiac output (CO) into a (, ) polar coordinate format was performed using an Excel spreadsheet (Microsoft Office Excel 2007; Microsoft Corp.), with the formulas for calculation of absolute value of mean CO, quadrant, radians, and angle as suggested by Critchley et al. .
The study was conducted in accordance with the ICU protocol, the declaration of Helsinki, and applicable regulatory requirements as approved by the institutional review board and the local institutional ethics committee (approval number 3789). In view of the nature of the study being purely observational, not demanding a deviation from standard clinical ICU care and since the results obtained by Nexfin were not used for clinical decision making, informed consent from the patient or the next of kin was not deemed essential. We merely analysed the existing situation and did nothing to influence events. Only treating ICU physicians accessed the medical records. All data were pseudonymized before analysis.
3.1. Study Population
In 2 patients (4.3%) it was impossible to obtain Nexfin values from any of 10 fingers, and they were therefore excluded from final analysis. Baseline characteristics of the 45 remaining patients are summarized in Table 1. Thirty-one patients (69%) were in shock (reflected by an elevated arterial lactate) with the majority in septic shock (, 58%). Only a minority was in cardiogenic shock (, 19%). A total of 35 patients (78%) received norepinephrine at a mean (±SD) dose of 0.20 ± 0.17 (range 0.02–1) μg/kg/min, while 27 patients (60%) received dobutamine at a dose of 4.30 ± 2.10 (range 1–10) μg/kg/min (range 1–10). Forty-tree patients (96%) were mechanically ventilated, and the 2 remaining patients were noninvasively ventilated. The critical illness of the patient sample is reflected by high scores on 3 different ICU scoring systems (APACHE II, SOFA, and SAPS II). In-hospital mortality was 57.8%. The neurological, respiratory and hemodynamic parameters, and the dose of the infused drugs did not show significant changes during the entire study period (Table 2).
3.2. Cardiac Output
Mean NexCO was comparable to mean TDCO (6.1 ± 2.3 versus 6.6 ± 2.2 L/min, ) and to mean CCO (6.1 ± 2.3 versus 6.4 ± 2.3 L/min, ). Correlation, regression, and the Bland and Altman analysis are shown in Tables 3 and 4 and Figures 1 and 2. Pearson correlation coefficients comparing NexCO with TDCO ( 0.68) and NexCO with CCO ( 0.71) were comparable and showed a highly significant (both values <0.001) correlation between all obtained CO measurements. Bland and Altman analysis comparing NexCO with TDCO revealed a mean bias ±LA of 0.4 ± 2.32 L/min (with 36% error) while analysis comparing NexCO with CCO showed a bias (±LA) of 0.2 ± 2.32 L/min (37% error). TDCO was highly correlated with CCO ( 0.95, ) with a bias (±LA) of 0.2 ± 0.86 L/min (13.3% error).
Subanalysis for patients with a low MAP, high TDCO, low SVRI, and high dose norepinephrine consistently showed a very good correlation between NexCO and TDCO or CCO. NexCO was less reliable in patients with hypothermia and not reliable in patients with low TDCO and high SVRI (Tables 3 and 4).
The four quadrants concordance plots are shown in Figure 3. From the 90 initial paired NexCO/TDCO measurements, 34 pairs was excluded because either NexCO or TDCO was ≤±1 L/min (or ≤15% change) or because NexCO or TDCO were equal to zero (panel (a)). The calculated level of concordance was 89.3% (50/56). The absolute amplitude correlation of these changes was clinically sufficient ( 0.63, ). From the 180 initial paired NexCO/CCO measurements, 75 pairs were excluded because either NexCO or CCO was ≤±1 L/min (or ≤15% change) or because NexCO or CCO was equal to zero (panel (b)). The calculated level of concordance was only 81% (85/105). The absolute amplitude correlation of these changes was clinically insufficient but still significant ( 0.31, ).
The polar trending plots are shown in Figure 4. From the 90 initial data 98.9% of the data points were within the 20% lines and 89% within the 10% lines, suggesting acceptable trending capabilities (Figure 4(a)). From the 180 initial data 98.3% of the data points were within the 20% lines and 88.9% within the 10% lines, suggesting acceptable trending capabilities (Figure 4(b)).
3.3. Ease of Use
Data on ease of use were collected in 27 patients. There were no local signs of disturbed circulation in the middle finger due to the application of the finger cuff. The time between the decision to apply Nexfin and the first measurement was less than 5 minutes in 23/27 patients (85%) and between 5 and 10 minutes in 4/27 patients (15%). In 9/27 patients (33%) we were able to do measurements with the first application, while 13/27 patients (48%) needed 1–5 and 5/27 (19%) needed more than 5 repositions. Nurse questionnaires revealed a mean score of 1.4 ± 0.5 for the set-up of the device, 1.7 ± 0.7 for set-up placement, 1.8 ± 0.5 for measurements, and 1.9 ± 0.5 for ease of use (1 = very easy to 4 = very difficult).
We performed an open observational study in 45 mixed surgical/medical and burns critically ill patients to validate the Nexfin against transpulmonary thermodilution and continuous femoral arterial pulse contour derived CO by the PiCCO. To the best of our knowledge, this is the second Nexfin CO validation study conducted in mainly medical ICU patients, the first being published last year by Monnet and coworkers .
First, we found moderate to good CO correlation coefficients with TDCO ( 0.68) and CCO ( 0.71). The overall calculated PEs were however too high to meet the criteria for general interchangeability as suggested by Critchley et al. . These results are in line with previous Nexfin CO validation studies against TEE and PiCCO during abdominal and cardiac surgery [24, 25] and against PAC in a small sample of 10 postsurgical ICU patients . In 2 studies a PE < 30% was reported [14, 25]. Our PE in critically ill patients was lower than the one reported previously by Monnet et al. who found an unacceptable PE of 51% . Second, we found that Nexfin is most accurate in the subgroup of patients with a high CO and low SVRI; however, it was least accurate in patients with low CO and high SVRI. In contrast to other uncalibrated monitoring devices, NexCO keeps comparable reliability in unstable patients with severe hypotension and in patients with reduced vessel compliance due to high dose norepinephrine. In septic patients with the well-known inverse TDCO/SVR hemodynamic profile, with severe hypotension or on high dose norepinephrine the calculated PE was below 30% and all criteria for interchangeability with CCO were met. Since determination of CO was only possible with invasive monitoring in the past, CO is not a target for goal directed therapy guidelines for septic patients . However, since tissue perfusion and oxygen delivery are determined directly by CO and only indirectly by MAP, we strongly believe that with the development and future fine-tuning of noninvasive CO measurement devices like Nexfin, determination of target therapy guidelines for CO should be considered . Third, we found an acceptable concordance (89.3%) between the direction of changes in TDCO and NexCO during the same time interval. This was also shown in previous studies [22, 26]. Although this analysis is based on only 3 time points and 2 values of TDCO/NexCO within an 8-hour time interval, this might be an indication that real-time measurement of the hemodynamic effects of ongoing therapeutic interventions may be reliable with the Nexfin device. Since the absolute TDCO/NexCO amplitude did not show sufficient clinical correlation, clinical decision making should be based on hemodynamic trends rather than on absolute values of changes in measured CO. However, ideal concordance should be above 90%, which was not the case when looking at changes in CCO and NexCO during the same time interval (4 values of CCO/NexCO within each 8-hour interval) with a concordance of only 81%. Fourth, analysis with polar plots showed an acceptable trending capability with 89% of the data points lying within the ±1.0 L/min (or ±10%) limits of agreement lines. Our study is the first to use polar plot analysis in this setting. Finally, the short time to first measurement, the limited number of repositions needed to start measuring, and the high scores on the nurse questionnaires illustrate that the device is very easy to use (“plug and play”) in the majority of patients. However to play the devil’s advocate, one could also state that we were unable to use the device in 2 out of 47 patients (4.3%). Monnet et al. found worse results with the inability to obtain CO values in 15.6% of study patients .
Based on these results and review of the literature, we think that the Nexfin device can be applied in ICU or ER patients, potentially also on the regular wards and even out of hospital (if the manufacturer would provide a battery), for an initial quick hemodynamic assessment as a bridge to installation of a more advanced invasive monitoring system. Differentiation of the different types of shock on a clinical basis showed to be a major challenge and often inaccurate even in hands of experienced ICU and ER physicians . Also, Nexfin can be applied when catheter placement is problematic for instance in patients with active catheter infections after removal of the previously infected arterial line.
However, in our opinion there are 5 main reasons why Nexfin cannot always be used as a first choice in the general ICU population with good IV and IA access requiring prolonged advanced hemodynamic monitoring. First, not only is the overall calculated PE too high but we also think that the LA are too broad to be clinically acceptable. If a CO is measured at 8 L/min, the true value can be between 5.7 and 10.3 L/min. Of note; however, is that the obtained correlation coefficients and LA are comparable to previous validation studies with PiCCO against PAC [6–11] and better than results obtained with other noncalibrated, more invasive monitoring devices such as the Vigileo [13, 28], NiCO [13, 29], and PrAM . Also, in a recent meta-analysis, none of the four tested methods achieved satisfactory agreement with bolus thermodilution within the expected 30% PE limits . Therefore, questions are raised on the feasibility of the current validation criteria for uncalibrated CO devices. Second, in our study, Nexfin showed to be less reliable in patients with hypothermia and to be completely unreliable in patients with low TDCO and high SVRI (e.g., cardiogenic, obstructive, and hypovolemic shock). In this subgroup NexCO showed systematic overestimation of CO. This is in line with a previous study conducted in postcardiac surgery ICU patients showing a PE of 50%, mainly driven by inaccuracy in patients with a low CI . This is in contrast however with another study in patients during CABG where half of the patients had a CI < 2.5 L/min/m² and good CO correlation coefficients and PE were still found . Third, Nexfin cannot entirely replace (less) invasive monitoring with an arterial line since arterial blood gas analyses and followup of lactate will always be one of the cornerstones of critical care management. Fourth, in some unstable patients and especially those with changing conditions of preload, afterload, or contractility, it may be advisable to calibrate the CO device in relation to the new hemodynamic situation . Finally, we could not obtain any measurements in 4.3% of patients and others found that the Nexfin could not record the arterial curve due to finger hypoperfusion in 15.6% of patients .
Some limitations of this study need to be considered. First, this is a validation study of CO by Nexfin against PiCCO. PAC is still considered by some clinicians as a golden standard. Although highly validated and widely used, PiCCO obtained CO shows some error against PAC. Second, the patient sample size and the size of the subgroups are probably too small to allow extensive further subgroup analysis. Third, we did not perform therapeutic intervention to assess the trending capabilities of the Nexfin. Fourth, we need to be aware that these results were obtained in an ICU patient group already receiving a lot of vasopressors and inotropic hemodynamic support thereby possibly not representing the initial hemodynamic pattern. Future studies should be performed to confirm that these results can be extrapolated to ER patients. Finally, the number of patients was determined on a random basis and no power analysis was performed.
In conclusion, Nexfin is a totally noninvasive, easy to use blood pressure and CO monitor based on finger arterial blood pressure pulse contour analysis. Nexfin obtained CO showed a moderate to good correlation with CO measured by PiCCO although the PE was too high. The Nexfin can be used for keeping track of changes in CO over time (e.g., to assess the therapeutic effect of a given treatment), although the absolute criteria for full interchangeability were not met in this population of mixed ICU patients.
(i)Nexfin is a totally noninvasive, easy to use blood pressure and cardiac output monitor.(ii)Nexfin shows a moderate to good cardiac output correlation with transcardiopulmonary thermodilution (TDCO) and continuous pulse contour CO (CCO) obtained by PiCCO in a mixed ICU population although the obtained percentage error was too high to allow full interchangeability.(iii)Changes in NexCO correlate well with changes in TDCO and CCO although the obtained concordance coefficient was too high to allow full trending interchangeability.
|CCO:||Continuous cardiac output by PiCCO|
|NEXCO:||Nexfin obtained cardiac output|
|CVP:||Central venous pressure|
|EVLWI:||Extravascular lung water index|
|GCS:||Glasgow coma scale|
|GEDVI:||Global end-diastolic volume index|
|GEF:||Global ejection fraction|
|MAP:||Mean arterial pressure|
|PPV:||Pulse pressure variation|
|SAS:||Sedation and agitation scale|
|SVRI:||Systemic vascular resistance index|
|SVV:||Stroke volume variation|
|SAPS II:||Simplified acute physiology score|
|SOFA:||Sequential organ failure assessment|
|APACHE II:||Acute physiology and chronic health evaluation.|
Conflict of Interests
Manu Malbrain and Berthold Bein are members of the medical advisory board of Pulsion Medical Systems (Munich, Germany) but have no direct financial relation with the commercial identities mentioned in the paper that might lead to a conflict of interests. The other authors have no competing interests.
Part of this paper has been presented previously in abstract and poster form at the 31st International Symposium on Intensive Care and Emergency Medicine (ISICEM) held in Brussels in 2011 . The authors are indebted to Bert Ferdinande, Nelie Desie, and Annelies Gerits for their excellent input and feedback.
J. E. Calvin, A. A. Driedger, and W. J. Sibbald, “Does the pulmonary capillary wedge pressure predict left ventricular preload in critically ill patients?” Critical Care Medicine, vol. 9, no. 6, pp. 437–443, 1981.View at: Google Scholar
M. Malbrain, P. De Potter, and D. Deeren, “Cost effectiveness of minimally invasive hemodynamic monitoring,” in Yearbook of Intensive Care and Emergency Medicine, J. L. Vincent, Ed., pp. 603–618, 2005.View at: Google Scholar
F. Michard, “Do we need to know cardiac preload?” in Yearbook of Intensive Care and Emergency Medicine, J. L. Vincent, Ed., pp. 694–701, 2004.View at: Google Scholar
A. Genahr and A. McLuckie, “Transpulmonary thermodilution in the critically ill,” British Journal of Intensive Care, vol. 14, no. 1, pp. 6–10, 2004.View at: Google Scholar
A. Kortgen, P. Niederprün, and M. Bauer, “Implementation of an evidence-based “standard operating procedure” and outcome in septic shock,” Critical Care Medicine, vol. 34, no. 4, pp. 939–939, 2006.View at: Google Scholar
B. V. Scheer, A. Perel, and U. J. Pfeiffer, “Clinical review: complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine,” Critical Care, vol. 6, no. 3, pp. 198–204, 2002.View at: Google Scholar
P. J. Palmers, W. Vidts, K. Ameloot et al., “Assessment of three minimally invasive continuous cardiac output measurement methods in critically ill patients and a review of the literature,” Anaesthesiology Intensive Therapy, vol. 44, no. 4, pp. 188–199, 2012.View at: Google Scholar
K. H. Wesseling, J. R. C. Jansen, J. J. Settels, and J. J. Schreuder, “Computation of aortic flow from pressure in humans using a nonlinear, three-element model,” Journal of Applied Physiology, vol. 74, no. 5, pp. 2566–2573, 1993.View at: Google Scholar
J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” The Lancet, vol. 1, no. 8476, pp. 307–310, 1986.View at: Google Scholar
M. Cecconi, A. Rhodes, J. Poloniecki, G. Della Rocca, and R. M. Grounds, “Bench-to-bedside review: the importance of the precision of the reference technique in method comparison studies: with specific reference to the measurement of cardiac output,” Critical Care, vol. 13, no. 1, pp. 201–206, 2009.View at: Google Scholar
X. Monnet, F. Picard, E. Lidzborski et al., “The estimation of cardiac output by the Nexfin device is of poor reliability for tracking the effects of a fluid challenge,” Critical Care, vol. 16, no. 5, article R212, 2012.View at: Google Scholar
G. Chen, L. Meng, B. Alexander, N. P. Tran, Z. N. Kain, and M. Cannesson, “Comparison of noninvasive cardiac output measurements using the Nexfin monitoring device and the esophageal Doppler,” Journal of Clinical Anesthesia, vol. 24, no. 4, pp. 275–283, 2012.View at: Google Scholar
M. L. N. G. Malbrain, A. Perel, and E. Segal, “How to implement the recent Surviving Sepsis Campaign Guidelines at the bedside? A focus on initial fluid resuscitation,” Fluids, vol. 2, no. 1, pp. 25–29, 2013.View at: Google Scholar
E. Giustiniano, E. Morenghiz, and N. Ruggier, “Flotrac/Vigileo validation trials: are there reliable conclusions?” Clinical Psychology Review, vol. 3, no. 6, pp. 62–65, 2011.View at: Google Scholar
H. Paarmann, H. V. Groesdonk, B. Sedemund-Adib et al., “Lack of agreement between pulmonary arterial thermodilution cardiac output and the pressure recording analytical method in postoperative cardiac surgery patients,” British Journal of Anaesthesia, vol. 106, no. 4, pp. 475–481, 2011.View at: Publisher Site | Google Scholar
P. J. Peyton and S. W. Chong, “Minimally invasive measurement of cardiac output during surgery and critical care,” Anesthesiology, vol. 113, pp. 220–235, 2012.View at: Google Scholar
M. O. Fischer, R. Avram, I. Cârjaliu et al., “Non-invasive continuous arterial pressure and cardiac index monitoring with Nexfin after cardiac surgery,” British Journal of Anaesthesia, vol. 109, no. 4, pp. 514–521, 2012.View at: Google Scholar
M. Cecconi and M. L. Malbrain, “Cardiac output obtained by pulse pressure analysis: to calibrate or not to calibrate may not be the only question when used properly,” Intensive Care Medicine, vol. 39, no. 4, pp. 787–789, 2013.View at: Google Scholar
K. Van de Vijver, A. Verstraeten, C. Gillebert et al., “Validation of non-invasive hemodynamic monitoring with Nexfin in critically ill patients,” Critical Care, vol. 15, supplement 1, p. 75, 2011.View at: Google Scholar