• cardiovascular reserve index (cvri)
• detection
• developing haemorrhage
• haemorrhage
• prediction
• trauma

• Adult
• Male
• Humans
• Trauma Centers
• Retrospective Studies
• Prospective Studies
• Hemorrhage/diagnosis
• Hemorrhage/etiology
• Lactates
• Wounds and Injuries/complications
• Wounds and Injuries/diagnosis

• Fluid responsiveness
• Hypovolemia
• Jugular vein collapsibility
• Jugular vein distensibility
• Pulse contour analysis

• Humans
• Jugular Veins
• Fluid Therapy
• Cardiac Surgical Procedures
• Stroke Volume
• Respiration
• Hemodynamics

• MZCZ-DRO-VFN64165 Ministerstvo Zdravotnictví Ceské Republiky

• Cardiac index
• Fluid responsiveness
• Intra-abdominal hypertension
• Supine transfer

• Adult
• Humans
• Intra-Abdominal Hypertension/diagnosis
• Intra-Abdominal Hypertension/therapy
• Prospective Studies
• China
• Fluid Therapy
• Intensive Care Units
• Saline Solution

• cardiac output
• covid-19
• multisystem inflammatory syndrome in children
• shock
• vasoplegia

• Adolescent
• COVID-19/complications
• Child
• Cohort Studies
• Hemodynamics
• Humans
• Retrospective Studies
• Shock/etiology
• Systemic Inflammatory Response Syndrome

• R61 HD105593 NICHD NIH HHS

• Cardiac output monitoring
• Fluid challenge
• Multi-beat analysis of the radial pressure waveform
• Pulse contour analysis
• Trans-esophageal doppler
• Vasopressors

• Cardiac Output
• Hemodynamics
• Humans
• Prospective Studies
• Radial Artery
• Reproducibility of Results
• Retrospective Studies
• Thermodilution/methods

Resuscitative fluid therapy aims to increase stroke volume (SV) and cardiac output (CO) and restore/improve tissue oxygen delivery in patients with circulatory failure. In individualized goal-directed fluid therapy (GDFT), fluids are titrated based on the assessment of responsiveness status (i.e., the ability of an individual to increase SV and CO in response to volume expansion). Fluid administration may increase venous return, SV and CO, but these effects may not be predictable in the clinical setting. The fluid challenge (FC) approach, which consists on the intravenous administration of small aliquots of fluids, over a relatively short period of time, to test if a patient has a preload reserve (i.e., the relative position on the Frank-Starling curve), has been used to guide fluid administration in critically ill humans. In responders to volume expansion (defined as individuals where SV or CO increases ≥10–15% from pre FC values), FC administration is repeated until the individual no longer presents a preload reserve (i.e., until increases in SV or CO are <10–15% from values preceding each FC) or until other signs of shock are resolved (e.g., hypotension). Even with the most recent technological developments, reliable and practical measurement of the response variable (SV or CO changes induced by a FC) has posed a challenge in GDFT. Among the methods used to evaluate fluid responsiveness in the human medical field, measurement of aortic flow velocity time integral by point-of-care echocardiography has been implemented as a surrogate of SV changes induced by a FC and seems a promising non-invasive tool to guide FC administration in animals with signs of circulatory failure. This narrative review discusses the development of GDFT based on the FC approach and the response variables used to assess fluid responsiveness status in humans and animals, aiming to open new perspectives on the application of this concept to the veterinary field.

• cardiac output
• fluid challenge
• fluid responsiveness
• goal-directed fluid therapy
• shock

While invasive thermodilution techniques remain the reference methods for cardiac output (CO) measurement, there is a currently unmet need for non-invasive techniques to simplify CO determination, reduce complications related to invasive procedures required for indicator dilution CO measurement, and expand the application field toward emergency room, non-intensive care, or outpatient settings. We evaluated the performance of a non-invasive oscillometry-based CO estimation method compared to transpulmonary thermodilution. To assess agreement between the devices, we used Bland–Altman analysis. Four-quadrant plot analysis was used to visualize the ability of Mobil-O-Graph (MG) to track CO changes after a fluid challenge. Trending analysis of CO trajectories was used to compare MG and PiCCO^® calibrated pulse wave analysis over time (6 h). We included 40 patients from the medical intensive care unit at the Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin between November 2019 and June 2020. The median age was 73 years. Forty percent of the study population was male; 98% was ventilator-dependent and 75% vasopressor-dependent at study entry. The mean of the observed differences for the cardiac output index (COI) was 0.7 l^∗min^–1*m^–2 and the lower, and upper 95% limits of agreement (LOA) were -1.9 and 3.3 l^∗min^–1*m^–2, respectively. The 95% confidence interval for the LOA was ± 0.26 l^∗min^–1*m^–2, the percentage error 83.6%. We observed concordant changes in CO with MG and PiCCO^® in 50% of the measurements after a fluid challenge and over the course of 6 h. Cardiac output calculation with a novel oscillometry-based pulse wave analysis method is feasible and replicable in critically ill patients. However, we did not find clinically applicable agreement between MG and thermodilution or calibrated pulse wave analysis, respectively, assessed with established evaluation routine using the Bland–Altman approach and with trending analysis methods. In summary, we do not recommend the use of this method in critically ill patients at this time. As the basic approach is promising and the CO determination with MG very simple to perform, further studies should be undertaken both in hemodynamically stable patients, and in the critical care setting to allow additional adjustments of the underlying algorithm for CO estimation with MG.

• cardiac output measurement
• non-invasive
• oscillometric
• pulse wave analysis
• thermodilution

• Animal
• Cardiac output
• Intra-abdominal hypertension
• Monitoring
• Pulmonary artery flotation catheter
• Thermodilution

With increasing prevalence of chronic diseases, multimorbid patients have become commonplace in the neurosurgical intensive care unit (neuro-ICU), offering unique management challenges. By reducing physiological reserve and interacting with one another, chronic comorbidities pose a greatly enhanced risk of major postoperative medical complications, especially cardiopulmonary complications, which ultimately exert a negative impact on neurosurgical outcomes. These premises underscore the importance of perioperative optimization, in turn requiring a thorough preoperative risk stratification, a basic understanding of a multimorbid patient’s deranged physiology and a proper appreciation of the potential of surgery, anesthesia and neurocritical care interventions to exacerbate comorbid pathophysiologies. This knowledge enables neurosurgeons, neuroanesthesiologists and neurointensivists to function with a heightened level of vigilance in the care of these high-risk patients and can inform the perioperative neuro-ICU management with individualized strategies able to minimize the risk of untoward outcomes. This review highlights potential pitfalls in the intra- and postoperative neuro-ICU period, describes common preoperative risk stratification tools and discusses tailored perioperative ICU management strategies in multimorbid neurosurgical patients, with a special focus on approaches geared toward the minimization of postoperative cardiopulmonary complications and unplanned reintubation.

• Cardiopulmonary complications
• Multimorbidity
• Neurocritical care
• Neurosurgery
• Perioperative complications
• Risk stratification

• Cardiac Function
• Myocardial Dysfunction
• Sepsis

FloTrac/Vigileo is a noncalibrated arterial pressure waveform analysis for cardiac index (CI) monitoring. The aim of our study was to compare the CI measured by the 4th generation of FloTrac with PiCCO in septic shock patients.

We simultaneously measured the CI using FloTrac (CIv) and compared it with the CI derived from transpulmonary thermodilution (CItd) as well as the pulse contour-derived CI using PiCCO (CIp).

Thirty-one septic shock patients were included. The CIv correlated with CItd (r = 0.62, P < 0.0001). The Bland-Altman analysis showed a bias of 0.14, and the limits of agreement were –1.62–1.91 L/min/m2 with a percentage error of 47.4%. However, the concordance rate between CIv and CItd was 93.6%. The comparison of CIv with CIp (n = 352 paired measurements) revealed a bias of -0.16, and the limits of agreement were –1.45–1.79 L/min/m2 with a percentage error of 44.8%. The overall correlation coefficient between CIv and CIp was 0.63 (P < 0.0001), and the concordance rate was 85.4%.

The 4th generation of FloTrac has not acceptable agreement to assess CI; however, it has the ability to tracked changes of CI, when compared with the transpulmonary thermodilution method by PiCCO.

• arterial waveform analysis
• hemodynamic monitoring
• measurement technique
• pulse contour analysis
• Cardiac output

Many maneuvers assessing fluid responsiveness (minifluid challenge, lung recruitment maneuver, end-expiratory occlusion test, passive leg raising) are considered as positive when small variations in cardiac index, stroke volume index, stroke volume variation or pulse pressure variation occur. Pulse contour analysis allows continuous and real-time cardiac index, stroke volume, stroke volume variation and pulse pressure variation estimations. To use these maneuvers with pulse contour analysis, the knowledge of the minimal change that needs to be measured by a device to recognize a real change (least significant change) has to be studied. The aim of this study was to evaluate the least significant change of cardiac index, stroke volume index, stroke volume variation and pulse pressure variation obtained using pulse contour analysis (ProAQT^®, Pulsion Medical System, Germany).

In this observational study, we included 50 mechanically ventilated patients undergoing neurosurgery in the operating room. Cardiac index, stroke volume index, pulse pressure variation and stroke volume variation obtained using ProAQT^® (Pulsion Medical System, Germany) were recorded every 12 s during 15-min steady-state periods. Least significant changes were calculated every minute.

Least significant changes statistically differed over time for cardiac index, stroke volume index, pulse pressure variation and stroke volume variation (p < 0.001). Least significant changes ranged from 1.3 to 0.7% for cardiac index, from 1.3 to 0.8% for stroke volume index, from 10 to 4.9% for pulse pressure variation and from 10.8 to 4.3% for stroke volume variation.

To conclude, the present study suggests that pulse contour analysis is able to detect rapid and small changes in cardiac index and stroke volume index, but the interpretation of rapid and small changes of pulse pressure variation and stroke volume variation must be done with caution.

• Precision
• Pulse contour
• Pulse pressure variation
• Stroke volume
• Stroke volume variation

• Hemodynamic monitoring
• intensive care
• pulmonary edema
• transpulmonary thermodilution (TPTD)
• trauma

• Cardiac output monitoring
• Fluid responsiveness
• Minimally invasive
• Sepsis and fluid administration
• Shock

Treatment of multiple organ failure frequently requires enhanced hemodynamic monitoring. When renal replacement is indicated, it remains unclear whether transpulmonary thermodilution (TPTD) measurements are influenced by renal replacement therapy (RRT) and whether RRT should be paused for TPTD measurements. Our aim was therefore to investigate the effect of pausing RRT on TPTD results in two dialysis catheter locations.

In total, 62 TPTD measurements in 24 patients (APACHE: 32 ± 7 [mean ± standard deviation (SD)]) were performed using the PiCCO™ system (Pulsion, Germany). Patients were treated with sustained low efficiency dialysis (SLED; Genius™ system, Fresenius, Germany) as RRT. Measurements were taken during ongoing hemodialysis (HD, HDO), during paused HD (HDP) and immediately after termination of HD and blood restitution (HDT). Dialysis catheters were placed either in the superior vena cava (SVC, 19 times) or in the inferior vena cava (IVC, 5 times). Statistical analysis was performed to assess the effects of the measurement setting, SLED (blood flow rate) and the catheter location, on cardiac index (CI), global end-diastolic volume index (GEDVI) and extravascular lung water index (EVLWI) as measured by TPTD. Multilevel models were used for the analysis due to the triplicate measurements and due to 12 out of 19 SVC and 2 out of 5 IVC patients having more than one TPTD measured.

CI and GEDVI were significantly higher at time point HDP compared to both HDO and HDT. In contrast, values for EVLWI were lower at HDP when compared to HDO and HDT. These findings were independent of the site of dialysis catheter insertion and blood flow rate.

PiCCO™ measurements assessed at paused SLED significantly deviate from ongoing and terminated SLED. Therefore, the dialysis system should not be paused for measurements. TPTD measurements in patients with PiCCO monitoring seem sufficiently reliable during ongoing SLED as well as after its termination. An effect of dialysis catheter location (SVC vs IVC) and blood flow rate on PiCCO™ measurements could not be shown.

• Patients with multiple organ failure (MOF)
• Sustained low efficiency dialysis (SLED)
• Transpulmonary thermodilution measurement (TPTD)

An increasing number of patients require precise intraoperative hemodynamic monitoring due to aging and comorbidities. To prevent undesirable outcomes from intraoperative hypotension or hypoperfusion, appropriate threshold settings are required. These setting can vary widely from patient to patient. Goal-directed therapy techniques allow for flow monitoring as the standard for perioperative fluid management. Based on the concept of personalized medicine, individual assessment and treatment are more advantageous than conventional or uniform interventions. The recent development of minimally and noninvasive monitoring devices make it possible to apply detailed control, tracking, and observation of broad patient populations, all while reducing adverse complications. In this manuscript, we review the monitoring features of each device, together with possible advantages and disadvantages of their use in optimizing patient hemodynamic management.

• blood pressure
• hemodynamic
• hemodynamic monitoring
• monitor
• non-invasive
• outcomes
• perioperative complications
• perioperative outcomes

• aortic stenosis
• arterial waveform analysis
• calibration
• cardiac output
• transesophageal echocardiography

Routine use of cardiac output (CO) monitoring became available with the introduction of the pulmonary artery catheter into clinical practice. Since then, several systems have been developed that allow for a less-invasive CO monitoring. The so-called “non-calibrated pulse contour systems” (PCS) estimate CO based on pulse contour analysis of the arterial waveform, as determined by means of an arterial catheter without additional calibration. The transformation of the arterial waveform signal as a pressure measurement to a CO as a volume per time parameter requires a concise knowledge of the dynamic characteristics of the arterial vasculature. These characteristics cannot be measured non-invasively and must be estimated. Of the four commercially available systems, three use internal databases or nomograms based on patients’ demographic parameters and one uses a complex calculation to derive the necessary parameters from small oscillations of the arterial waveform that change with altered arterial dynamic characteristics. The operator must ensure that the arterial waveform is neither over- nor under-dampened. A fast-flush test of the catheter–transducer system allows for the evaluation of the dynamic response characteristics of the system and its dampening characteristics. Limitations to PCS must be acknowledged, i.e., in intra-aortic balloon-pump therapy or in states of low- or high-systemic vascular resistance where the accuracy is limited. Nevertheless, it has been shown that a perioperative algorithm-based use of PCS may reduce complications. When considering the method of operation and the limitations, the PCS are a helpful component in the armamentarium of the critical care physician.

• arterial wave property
• cardiac output
• hemodynamics
• monitoring
• physiologic
• pulse contour analyses
• waveform analysis

• cardiovascular
• collapse
• hemodynamic
• lactate
• shock

• Blood Flow Velocity
• Blood Pressure/physiology
• Critical Care
• Evidence-Based Medicine
• Fluid Therapy/methods
• Hemodynamics
• Humans
• Point-of-Care Systems
• Regional Blood Flow
• Resuscitation/methods
• Shock/diagnostic imaging
• Shock/physiopathology
• Shock/therapy
• Stroke Volume/physiology
• Ultrasonography

• K08 GM117310 NIGMS NIH HHS

• hemodynamic monitoring
• pulse contour
• septic shock patient
• transpulmonary thermodilution

For complex patients in the intensive care unit or in the operating room, many questions regarding their haemodynamic management cannot be answered with simple clinical examination. In particular, arterial pressure allows only a rough estimation of cardiac output. Transpulmonary thermodilution is a technique that provides a full haemodynamic assessment through cardiac output and other indices.

Through the analysis of the thermodilution curve recorded at the tip of an arterial catheter after the injection of a cold bolus in the venous circulation, transpulmonary thermodilution intermittently measures cardiac output. This measure allows the calibration of pulse contour analysis. This provides continuous and real time monitoring of cardiac output, which is not possible with the pulmonary artery catheter. Transpulmonary thermodilution provides several variables beyond cardiac output. It estimates the end-diastolic volume of the four cardiac cavities, which is a marker of cardiac preload. It provides an estimation of the systolic function of the combined ventricles. It is more direct than the pulmonary artery catheter, but does not allow the distinct estimation of right and left cardiac function. It is easier and faster to perform than echocardiography, but does not provide a full evaluation of the cardiac structure and function. Transpulmonary thermodilution has the unique advantage of being able to estimate at the bedside extravascular lung water, which quantifies the volume of pulmonary oedema, and pulmonary vascular permeability, which quantifies the degree of a pulmonary capillary leak. Both indices are helpful for guiding fluid strategy, especially in case of acute respiratory distress syndrome.

Transpulmonary thermodilution provides a full cardiovascular evaluation that allows one to answer many questions regarding haemodynamic management. It belongs to the category of “advanced” devices that are indicated for the most critically ill and/or complex patients.

• Cardiac output
• Cardiac preload
• Extravascular lung water
• Fluid responsiveness
• Haemodynamic monitoring

• Fluid responsiveness
• Head-up tilt
• Pulse pressure variation
• Spontaneous breathing
• Stroke volume variation
• Systolic pressure variation

Transpulmonary thermodilution (TPTD_CO) and calibrated pulse contour analysis (PCA_CO) are alternatives to pulmonary artery thermodilution cardiac output (PATD_CO) measurement.

Ten mL of ice‐cold thermal indicator (TI₁₀) would improve the agreement and trending ability between TPTD_CO and PATD_CO compared to 5 mL of indicator (TI₅) (Phase‐1). The agreement and TA between PCA_CO and PATD_CO would be poor during changes in systemic vascular resistance (SVR) (Phase‐2).

Eight clinically normal dogs (20.8–31.5 kg).

Prospective, experimental study. Simultaneous TPTD_CO and PATD_CO (averaged from 3 repetitions) using TI₅ and TI₁₀ were obtained during isoflurane anesthesia combined or not with remifentanil or dobutamine (Phase‐1). Triplicate PCA_CO and PATD_CO measurements were recorded during phenylephrine‐induced vasoconstriction and nitroprusside‐induced vasodilation (Phase‐2).

Mean bias (limits of agreement: LOA) (L/min), percentage bias (PB), and percentage error (PE) were 0.62 (−0.11 to 1.35), 16%, and 19% for TI₅; and 0.33 (−0.25 to 0.91), 9%, and 16% for TI₁₀. Mean bias (LOA), PB, and PE were 0.22 (−0.63 to 1.07), 6%, and 23% during phenylephrine; and 2.12 (0.70–3.55), 43%, and 29% during nitroprusside. Mean angular bias (radial LOA) values were 2° (−10° to 14°) and −1° (−9° to 6°) for TI₅ and TI₁₀, respectively (Phase‐1), and 38° (5°–71°) (Phase‐2).

Although TI₁₀ slightly improves the agreement and trending ability between TPTD_CO and PATD_CO in comparison to TI₅, both volumes can be used for TPTD_CO in replacement of PATD_CO. Vasodilation worsens the agreement between PCA_CO and PATD_CO. Because of PCA_CO's poor agreement and trending ability with PATD_CO during SVR changes, this method has limited clinical application.

• Indicator dilution cardiac output
• Monitoring
• Pulse contour analysis

• Cardiac output
• Precision
• Reproducibility
• Transpulmonary thermodilution

• cardiac index
• pulse contour analysis
• haemodynamic monitoring
• transpulmonary thermodilution

• Adult
• Aged
• Aged, 80 and over
• Calibration
• Cardiac Output/physiology
• Cardiopulmonary Bypass
• Female
• Germany
• Hemodynamics
• Humans
• Male
• Middle Aged
• Monitoring, Physiologic/methods
• Reproducibility of Results
• Spain
• Thermodilution

• cardiac output
• fluid therapy
• goal-directed therapy
• haemodynamics
• monitoring
• pulse pressure

• Adult
• Aged
• Area Under Curve
• Blood Pressure/physiology
• Cardiac Output/physiology
• Critical Illness
• Female
• Fluid Therapy/statistics & numerical data
• Humans
• Male
• Middle Aged
• Prospective Studies
• ROC Curve
• Reproducibility of Results
• Respiration, Artificial
• Stroke Volume/physiology
• Tidal Volume/physiology

• Arterial blood pressure transducer
• Continuous hemodynamic monitoring
• Critical care
• Phlebostatic axis
• Pulse contour waveform-derived measurements

• Animals
• Aorta
• Heart
• Stroke Volume
• Swine

• Arterial pressure
• Cardiac output
• Hemodynamic monitoring
• Pulse contour analysis
• Thermodilution
• Vascular resistance

The evaluation of fluid responsiveness in patients with hemodynamic instability remains to be challenging. This investigation aimed to determine whether respiratory variation in carotid Doppler peak velocity (ΔCDPV) predicts fluid responsiveness in patients with septic shock and lung protective mechanical ventilation with a tidal volume of 6 ml/kg.

We performed a prospective cohort study at an intensive care unit, studying the effect of 59 fluid challenges on 19 mechanically ventilated patients with septic shock. Pre-fluid challenge ΔCDPV and other static or dynamic measurements were obtained. Fluid challenge responders were defined as patients whose stroke volume index increased more than 15 % on transpulmonary thermodilution. The area under the receiver operating characteristic curve (AUROC) was compared for each predictive parameter.

Fluid responsiveness rate was 51 %. The ΔCDPV had an AUROC of 0.88 (95 % confidence interval (CI) 0.77–0.95); followed by stroke volume variation (0.72, 95 % CI 0.63–0.88), passive leg raising (0.69, 95 % CI 0.56–0.80), and pulse pressure variation (0.63, 95 % CI 0.49–0.75). The ΔCDPV was a statistically significant superior predictor when compared with the other parameters. Sensitivity, specificity, and positive and negative predictive values were also the highest for ΔCDPV, with an optimal cutoff at 14 %. There was good correlation between ΔCDPV and SVI increment after the fluid challenge (r = 0.84; p < 0.001).

ΔCDPV can be more accurate than other methods for assessing fluid responsiveness in patients with septic shock receiving lung protective mechanical ventilation. ΔCDPV also has a high correlation with SVI increase after fluid challenge.

• Edwards EV-1000
• Modelflow technique
• PiCCO
• arterial waveform analysis
• cardiac output
• hemodynamic monitoring
• transcardiopulmonary thermodilution

• Doppler
• cardiac output
• pulse wave analyses

Fluid bolus therapy (FBT) is a standard of care in the management of the septic, hypotensive, tachycardic and/or oliguric patient. However, contemporary evidence for FBT improving patient-centred outcomes is scant. Moreover, its physiological effects in contemporary ICU environments and populations are poorly understood. Using three electronic databases, we identified all studies describing FBT between January 2010 and December 2013. We found 33 studies describing 41 boluses. No randomised controlled trials compared FBT with alternative interventions, such as vasopressors. The median fluid bolus was 500 ml (range 100 to 1,000 ml) administered over 30 minutes (range 10 to 60 minutes) and the most commonly administered fluid was 0.9% sodium chloride solution. In 19 studies, a predetermined physiological trigger initiated FBT. Although 17 studies describe the temporal course of physiological changes after FBT in 31 patient groups, only three studies describe the physiological changes at 60 minutes, and only one study beyond this point. No studies related the physiological changes after FBT with clinically relevant outcomes. There is a clear need for at least obtaining randomised controlled evidence for the physiological effects of FBT in patients with severe sepsis and septic shock beyond the period immediately after its administration.

‘Just as water retains no shape, so in warfare there are no constant conditions’

Sun Tzu (‘The Art of War’)