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Assessments of Dynamic Variables of Fluid Responsiveness to Predict Desufflation-induced Hypotension in Urologic Patients Undergoing Laparoscopic Surgery

Assessments of Dynamic Variables of Fluid Responsiveness to Predict Desufflation-induced Hypotension in Urologic Patients Undergoing Laparoscopic Surgery

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03967119
Enrollment
80
Registered
2019-05-30
Start date
2019-04-25
Completion date
2022-04-30
Last updated
2021-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Deflation Induced Hypotension, Laparoscopic Surgery

Brief summary

Laparoscopic surgery can induce hemodynamic pertubations. Pneumoperitoneum, inevitable in laparoscopic surgery, induces increase in intra-abdominal pressure, which can decrease cardiac output. Simultaneously, pneumoperitoneum can stimulate sympathetic system and increase vascular resistance/arterial blood pressure. Patients undergoing laparoscopic surgery may show a normal range of blood pressure during pneumoperitoneum even when the patients are in hypovolemia, and desufflation at the end of main surgical procedure can cause an abrupt hypotension revealing hypovolemia. Therefore, appropriate fluid management is essential for preventing desufflation-induced hypotension in laparoscopic surgery. Recently, dynamic variables are used to predict and guide fluid therapy during controlled ventilation. these variables arise from heart-lung interactions during positive ventilation, which influence left ventricular stroke volume. Several dynamic variables are derived from variations in left ventricular stroke volume (stroke volume variation, SVV), for example pulse pressure variation (PPV), and variations in pulse oximetry plethysmography waveform amplitude (PWV), which have all been shown to predict fluid responsiveness in different clinical and experimental settings. However, there are few evidences regarding which type of dynamic variables can predict desufflation-induced hypotension in laparoscopic surgery. Therefore, this study was designed to assess the predictive abilities of three different type of dynamic variables including PPV, SVV, and PWV for desufflation-induced hypotension in patients undergoing laparoscopic surgery.

Detailed description

The study is a prospective, single-arm, and observational one. Eighty Patients who age more than 19 years and are undergoing laparoscopic surgery for urologic procedures are being enrolled in this study. All anesthetic and surgical managements are being performed according to the institutional standards. An attending anesthesiologist who is independent from this study performs anesthetic managements for the participants including fluid administration. Investigators assess and record the following parameters at the following time points. The parameters assessed: mean arterial pressure, heart rate, pulse oxygen saturation, SVV, PPV, PWV, peak inspiratory pressure, plateau pressure, positive end-expiratory pressure, respiratory rate (all dynamic variables are assessed at two levels of tidal volume- 6 ml/kg and 12 ml/kg). The time points: T0, before anesthetic induction; T1, immediately after anesthetic induction; T2, immediately after pneumoperitoneum; T3, 10 min before desufflation; T4, immediately after desufflation. The desufflation-induced hypotension is defined as more than 20 % decrease in MAP at T4 from MAP at T3.

Interventions

DEVICEPatient monitoring

Arterial blood pressure, pulse oxygen saturation, and cardiac output/stroke volume are monitored with invasive arterial catheter, pulse oxymetry, and esophageal doppler in all participants. Some dynamic variables including SVV and PPV are automatically calculated in each monitor. PWV is manually calculated in a printed plethysmographic waveform. Plethysmographic waveform amplitude (PW) is measured on a beat-to-beat basis as the vertical distance between peaks and preceding valley troughs in the waveform. The maximum PW (PWmax) and minimum PW (PWmin) are determined manually over the same respiratory cycle, and PWV is calculated. PWV=(PWmax-PWmin)/\[(PWmax+PWmin)/2\].

Sponsors

Yonsei University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
19 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 1\. laparoscopic nephrectomy * 2\. laparoscopic nephro-ureterectomy * 3\. laparoscopic adrenalectomy

Exclusion criteria

* 1\. ASA physical status 3 and greater * 2\. preoperative arrhythmia * 3\. moderate to severe valvular disease * 4\. ventricular ejection fraction \< 40% * 5\. inotrope use * 6\. moderate to severe chronic obstructive pulmonary disease * 7\. moderate to severe renal or hepatic disease

Design outcomes

Primary

MeasureTime frameDescription
AUC for dynamic variables to predict deflation-induced hypotensionDynamic variables at T3 (10 minutes before desufflation)To test the abilities of dynamic variables to predict curves (AUC) are calculated in each type of dynamic variables at each tidal volume level (6 or 12 ml/kg).

Secondary

MeasureTime frameDescription
Cut-off value for dynamic variables to predict deflation-induced hypotensionDynamic variables at T3 (10 minutes before desufflation)To apply dynamic variables to predict desufflation-induced hypotension into clinical practice, the cut-off values are calculated in each type of dynamic variables at each tidal volume level (6 or 12 ml/kg).

Countries

South Korea

Contacts

Primary ContactJaehoon Lee
neogens@yuhs.ac+82-2-2228-2420

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026