PASSIVE LEG RAISING-INDUCED CHANGES IN PEAK VELOCITY VARIATION OF LEFT VENTRICULAR OUTFLOW TRACT TO PREDICT FLUID RESPONSIVENESS IN POSTOPERATIVE CRITICALLY ILL ELDERLY PATIENTS.


Journal

Shock (Augusta, Ga.)
ISSN: 1540-0514
Titre abrégé: Shock
Pays: United States
ID NLM: 9421564

Informations de publication

Date de publication:
01 07 2023
Historique:
medline: 2 8 2023
pubmed: 14 5 2023
entrez: 13 5 2023
Statut: ppublish

Résumé

Background : Accurate prediction of fluid responsiveness is important for postoperative critically ill elderly patients. The objective of this study was to evaluate the predictive values of peak velocity variation (ΔVpeak) and passive leg raising (PLR)-induced changes in ΔVpeak (ΔVpeak PLR ) of the left ventricular outflow tract to predict fluid responsiveness in postoperative critically ill elderly patients. Method : Seventy-two postoperative elderly patients with acute circulatory failure who were mechanically ventilated with sinus rhythm were enrolled in our study. Pulse pressure variation (PPV), ΔVpeak, and stroke volume were collected at baseline and after PLR. An increase of >10% in stroke volume after PLR defined fluid responsiveness. Receiver operating characteristic curves and gray zones were constructed to assess the ability of ΔVpeak and ΔVpeak PLR to predict fluid responsiveness. Results : Thirty-two patients were fluid responders. The area under the receiver operating characteristic curves (AUC) for baseline PPV and ΔVpeak to predict fluid responsiveness was 0.768 (95% confidence interval [CI], 0.653-0.859; P < 0.001) and 0.899 (95% CI, 0.805-0.958; P < 0.001) with gray zones of 7.63% to 12.66% that included 41 patients (56.9%) and 9.92% to 13.46% that included 28 patients (38.9%). ΔPPV PLR predicted fluid responsiveness with an AUC of 0.909 (95% CI, 0.818-0.964; P < 0.001), and the gray zone was 1.49% to 2.93% and included 20 patients (27.8%). ΔVpeak PLR predicted fluid responsiveness with an AUC of 0.944 (95% CI, 0.863-0.984; P < 0.001), and the gray zone was 1.48% to 2.46% and included six patients (8.3%). Conclusions : Passive leg raising-induced changes in peak velocity variation of blood flow in the left ventricular outflow tract accurately predicted fluid responsiveness with a small gray zone in postoperative critically ill elderly patients.

Identifiants

pubmed: 37179250
doi: 10.1097/SHK.0000000000002143
pii: 00024382-990000000-00205
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18-23

Informations de copyright

Copyright © 2023 by the Shock Society.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Références

Bettelli G. Preoperative evaluation of the elderly surgical patient and anesthesia challenges in the XXI century. Aging Clin Exp Res . 2018;30(3):229–235.
Khan KT, Hemati K, Donovan AL. Geriatric physiology and the frailty syndrome. Anesthesiol Clin . 2019;37(3):453–474.
O'Connor ME, Prowle JR. Fluid Overload. Crit Care Clin . 2015;31(4):803–821.
Bentzer P, Griesdale DE, Boyd J, et al. Will this hemodynamically unstable patient respond to a bolus of intravenous fluids? JAMA . 2016;316(12):1298–1309.
Monnet X, Marik PE, Teboul JL. Prediction of fluid responsiveness: an update. Ann Intensive Care . 2016;6(1):111.
Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, et al. Predictors of fluid responsiveness in critically ill patients mechanically ventilated at low tidal volumes: systematic review and meta-analysis. Ann Intensive Care . 2021;11(1):28.
Monnet X, Teboul JL. Passive leg raising: five rules, not a drop of fluid! Crit Care . 2015;19(1):18.
Monnet X, Shi R, Teboul JL. Prediction of fluid responsiveness. What's new? Ann Intensive Care . 2022;12(1):46.
Taccheri T, Gavelli F, Teboul JL, et al. Do changes in pulse pressure variation and inferior vena cava distensibility during passive leg raising and tidal volume challenge detect preload responsiveness in case of low tidal volume ventilation? Crit Care . 2021;25(1):110.
Mallat J, Fischer MO, Granier M, et al. Passive leg raising-induced changes in pulse pressure variation to assess fluid responsiveness in mechanically ventilated patients: a multicentre prospective observational study. Br J Anaesth . 2022;129(3):308–316.
De Backer D, Aissaoui N, Cecconi M, et al. How can assessing hemodynamics help to assess volume status? Intensive Care Med . 2022;48(10):1482–1494.
Feissel M, Michard F, Mangin I, et al. Respiratory changes in aortic blood velocity as an indicator of fluid respiratory in ventilated patients with septic shock. Chest . 2001;119(3):867–873.
Beurton A, Teboul JL, Girotto V, et al. Intra-abdominal hypertension is responsible for false negatives to the passive leg raising test. Crit Care Med . 2019;47(8):e639–e647.
Alvis BD, Hughes CG. Physiology considerations in geriatric patients. Anesthesiol Clin . 2015;33(3):447–456.
Thillainadesan J, Hilmer SN, Fleury AM, et al. New horizons in the perioperative care of older adults. Age Ageing . 2022;51(2):afab245.
Pinsky MR, Cecconi M, Chew MS, et al. Effective hemodynamic monitoring. Crit Care . 2022;26(1):294.
MacDonald N, Pearse RM. Are we close to the ideal intravenous fluid? Br J Anaesth . 2017;119(suppl_1):i63–i71.
Shi R, Monnet X, Teboul JL. Parameters of fluid responsiveness. Curr Opin Crit Care . 2020;26(3):319–326.
Scheeren TWL, Ramsay MAE. New developments in hemodynamic monitoring. J Cardiothorac Vasc Anesth . 2019;33(suppl 1):S67–S72.
Myatra SN, Prabu NR, Divatia JV, et al. The changes in pulse pressure variation or stroke volume variation after a “tidal volume challenge” reliably predict fluid responsiveness during low tidal volume ventilation. Crit Care Med . 2017;45(3):415–421.
Boyd JH, Sirounis D, Maizel J, et al. Echocardiography as a guide for fluid management. Crit Care . 2016;20(1):274.
Sethasathien S, Jariyasakoolroj T, Silvilairat S, et al. Aortic peak flow velocity as a predictor of fluid responsiveness in mechanically ventilated children: a systematic review and meta-analysis. Pediatr Crit Care Med . 2023;e003219.
Pace R, Lassola S, Miori S, et al. Carotid vs. aortic velocity time integral and peak velocity to predict fluid responsiveness in mechanically ventilated patients. A comparative study. Minerva Anestesiol . 2022;88(5):352–360.
Monnet X, Marik P, Teboul JL. Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis. Intensive Care Med . 2016;42(12):1935–1947.
Mercado P, Maizel J, Beyls C, et al. Transthoracic echocardiography: an accurate and precise method for estimating cardiac output in the critically ill patient. Crit Care . 2017;21(1):136.
Sattin M, Burhani Z, Jaidka A, et al. Stroke volume determination by echocardiography. Chest . 2022;161(6):1598–1605.
Vincent JL, Cecconi M, De Backer D. The fluid challenge. Crit Care . 2020;24(1):703.
Cherpanath TG, Hirsch A, Geerts BF, et al. Predicting fluid responsiveness by passive leg raising: a systematic review and meta-analysis of 23 clinical trials. Crit Care Med . 2016;44(5):981–991.
Jozwiak M, Mercado P, Teboul JL, et al. What is the lowest change in cardiac output that transthoracic echocardiography can detect? Crit Care . 2019;23(1):116.

Auteurs

Jing-Jie Wan (JJ)

Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Jun Chen (J)

Intensive Care Unit, Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Li Xu (L)

Intensive Care Unit, Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Ke Peng (K)

Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Jin Xie (J)

Intensive Care Unit, Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH