Hypotension Prediction Index (HPI) in Lung Resections

Intraoperative Hypotension Clinical Trial

Official title:

An Observational, Prospective, Non-randomized Multi-centre Cohort Feasibility Study of the Hypotension Prediction Index (HPI) in Patients Undergoing Lung Resections With the Use of One-lung Ventilation.

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT06202638
• Other study ID #: NB.060.1.011.2022
• Status: Recruiting
• Start date: November 11, 2023
• Est. completion date: December 31, 2024

Study information

• Verified date: January 2024
• Source: John Paul II Hospital, Krakow
• Contact: Miroslaw Zietkiewicz, MD, PhD
• Phone: +48 609 668 145
• Email: mjzietkiewicz[@]gmail.com
• Is FDA regulated: No
• Study type: Observational [Patient Registry]

Clinical Trial Summary

Perioperative hypotension is a risk factor for perioperative complications. Advances in machine learning and artificial intelligence have produced an algorithm that predicts the occurrence of hypotension episodes by analyzing an arterial pressure waveform. This technology has not been validated in thoracic surgical patients undergoing lung resections with the use of one-lung ventilation (OLV). We planned an observational, prospective multi-centre cohort validation study of the Hypotension Prediction Index (HPI) in patients undergoing lung resection procedures with the use of one-lung ventilation and a lung-protective strategy.

Description:

The Hypotension Prediction Index (HPI) is a hemodynamic score designed specifically for prediction of the intraoperative hypotension (IOH) episodes. It is based on an algorithm programmed into Edwards Lifesciences HemoSphere monitor clinical platform (Irvine, CA, USA). The HPI is based on a continuous analysis of an arterial pressure waveform. It is processed in addition to the FloTrac algorithm via proprietary Acumen IQ Sensor and uses an artificial intelligence technology. After internal validation, the algorithm was prospectively, externally and clinically validated in general surgical, perioperative patients, cardiovascular surgical patients, and mechanically ventilated COVID-19 ICU patients.

As opposed to conventional monitoring systems, which display physiological parameters in real life, an HPI algorithm detects the earliest changes, multivariate variability and interactions in the physiologic inter-related data on preload, afterload, and contractility to deliver an index predicting an upcoming hypotensive event. Variables used by the patent-protected algorithm to calculate HPI are as follows: heart rate variability (changes in heart rate/changes in MAP); arterial pressure waveform complexity (approximate waveform entropy, sample waveform entropy, frequency domain measure of higher order harmonics); preload parameters (pulse pressure variation PPV, stroke volume variation SVV); contractility parameters (slope of the ascending part of the pressure waveform above time, dP/dt); and afterload parameters (SVR, dynamic arterial elastance Eadyn), but their relative contribution to final index is not revealed.

Final index values of HPI range from 1 to 100, with increasing numbers representing a greater likelihood of an impending hypotensive event. These events are defined as mean arterial pressure (MAP) <65 mmHg occurring for over one minute. HPI values predict the occurrence of hypotension five to fifteen minutes before the event, with sensitivity and specificity in both time-frames of greater than 80%. In most studies, a value of 85 HPI predicts a hypotensive episode, and this value is arbitrarily preprogrammed into the HemoSphere monitor to alert the clinician and allow proactive responses to minimize or even entirely prevent intraoperative hypotension.

Parameters used and incorporated into the HemoSphere monitor can guide a clinician in the optimal management of IOH. These "secondary screen" variables include the left ventricular contractility parameter (dP/dt), dynamic preload parameter (SVV) and afterload parameter dynamic arterial elastance Eadyn.

Maximal left ventricular (LV) pressure rise (LV dP/dt max) is a classical marker of LV performance and systolic function. It is conventionally defined as the change in pressure in the left ventricular cavity over the isovolumetric contraction period and it originally requires LV catheterization. In clinical practice a surrogate peripheral arterial pressure waveform is used to estimate dP/dt value and to predict the need for inotropic support.

SVV is a dynamic preload parameter and represents the difference in the left ventricular stroke volume secondary to changes in intrathoracic pressure induced by mechanical ventilation.

The dynamic arterial elastance Eadyn represents the proportion of pulse-pressure variation (PPV) to SVV. It can be used to assess vascular tone, which can predict arterial pressure response after volume loading and/or potential response to vasopressor administration.

Both PPV and SVV are considered superior to static indices to predict fluid responsiveness. They are both based on heart-lung interactions and reflect hemodynamic cyclic changes induced by mechanical ventilation in the closed-chest condition. Their values are significantly correlated with the magnitude of VT. The current low-tidal volume intraoperative ventilatory strategy protects the lungs, but at the same time lowers the reliability of dynamic indices, particularly in open-chest conditions. Due to limited changes in intrathoracic pressure during the respiratory cycle in open lung conditions, there is a risk of receiving false negative parameter values. PPV and SVV seem to be inaccurate in predicting fluid responsiveness in an open-chest setting during cardiothoracic surgery.

The HPI was validated in general surgery and ICU cases, but not in thoracic surgery one-sided open chest procedures. These procedures include not only significantly abnormal physiologic conditions (open pleura and one-lung protective ventilation) but also a high incidence of sudden manual surgical interventions. All these factors can significantly influence and compromise the HPI performance.

The aim of this study is to validate the HPI technology in open-chest lung resection procedures with the use of one-lung ventilation. The study group will comprise 60 consecutive adult patients qualified for lung resection procedures under general anesthesia with open-chest and one-lung ventilation.

The patients will be monitored during the operation using standard invasive hemodynamic monitoring with arterial pressure transducer and concomitantly with HemoSphere monitor with the HPI software attached to the Acumen IQ transducer (Edwards LifeSciences, Irvine, CA, USA). The clinicians will be blinded to the output of the HemoSphere monitor. Hemodynamic waveforms and HPI prediction data including hypotensive events (IOH) will be recorded from the time of arterial cannula insertion until leaving the operation room. Recorded data will be divided into seven cohorts, represented by separate time frames:

0. Pre-induction baseline, supine, spontaneous breathing (if available and arterial cannula inserted pre-induction)

1. Supine, closed-chest anaesthetized, intubated, two-lung ventilation

2. Lateral decubitus, closed chest, two-lung ventilation

3. Lateral decubitus, closed chest, one-lung ventilation (OLV)

4. Lateral decubitus, open chest, one-lung ventilation (OLV)

5. Lateral decubitus, closed chest, two-lung ventilation post-resection

6. Supine, closed-chest, two-lung ventilation

We will estimate the sensitivity (recall) and positive predictive value (precision) of the HPI algorithm and describe the number of false alarms as well as missed events without explicitly referring to specificity or negative predictive value.

Study conduct and reporting will be performed under the STARD guidelines.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 60
• Est. completion date: December 31, 2024
• Est. primary completion date: December 31, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• American Society of Anesthesiologists (ASA) physical status II to IV;

• Planned invasive blood pressure monitoring during general anesthesia expected to last more than 2 hours and planned overnight hospitalization.

• Procedures: video-assist thoracoscopic (VATS)-lobectomy, open-thoracotomy lobectomy, pneumonectomy.

• Adults over 18 years old.

Exclusion Criteria:

• Urgent/emergency procedures.

• Patients with known clinically important intracardiac shunts.

• Moderate to severe valvular disease.

• Preoperative symptomatic arrhythmias including AF.

• Congestive heart failure with LV ejection fraction less than 35%.

• Refusal of participation

Related Conditions & MeSH terms

• Hypotension
• Intraoperative Hypotension

Intervention

Device:
• HemoSphere monitor with Acumen Hypotension Prediction Index Software
Two concomitant courses of intraoperative data will be recorded: 1. the arterial waveform and pressure on the standard hemodynamic patient monitor and 2. the data from the HemoSphere monitor with Acumen Hypotension Prediction Index Software

Locations

Country	Name	City	State
Greece	Faculty of Medicine, NKUA Attikon University Hospital	Athens
Poland	St. John Paul II Hospital in Krakow	Kraków	Malopolska
Poland	Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze	Zabrze	Slaskie

Sponsors (1)

Lead Sponsor	Collaborator
John Paul II Hospital, Krakow

Countries where clinical trial is conducted

Greece,  Poland, 

References & Publications (28)

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* Note: There are 28 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Positive predictive value	Positive predictive value (precision) of the Hypotension Prediction Index (HPI) algorithm (95% CI) for prediction of IOH episodes at different time intervals (5, 10, 15 minutes) in lung resection surgery patients; Sensitivity (recall) of the Hypotension Prediction Index (HPI) algorithm (95% CI) for prediction of IOH episodes at different time intervals (5, 10, 15 minutes) in lung resection surgery patients.; Calibration curve (incidence of IOH vs. HPI; 95% CI)	Intraoperative period
Secondary	Event rate	Event rate across the observed spectrum of HPI values - i.e. the number of false alarms as well as missed events without explicitly referring to specificity or negative predictive value.; Average values of dynamic preload parameters PPV, SVV and arterial elastance and their change during OLV.	Intraoperative period