» Articles » PMID: 36171594

Effective Hemodynamic Monitoring

Abstract

Hemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allows for non-specific prevention of new onset cardiovascular insufficiency (CVI) in perioperative care. Such goal-directed therapy is associated with decreased perioperative complications and length of stay in high-risk surgery patients. (2) Patient-specific personalized resuscitation approaches for CVI. These approaches including dynamic measures to define volume responsiveness and vasomotor tone, limiting less fluid administration and vasopressor duration, reduced length of care. (3) Hemodynamic monitoring to predict future CVI using machine learning approaches. These approaches presently focus on predicting hypotension. Future clinical trials assessing hemodynamic monitoring need to focus on process-specific monitoring based on modifying therapeutic interventions known to improve patient-centered outcomes.

Citing Articles

Unlocking opportunities to transform patient care: an expert insight on limitations and opportunities in patient monitoring.

Cecconi M, Hutanu A, Beard J, Gonzalez-Pizarro P, Ostermann M, Batchelor A Intensive Care Med Exp. 2025; 13(1):24.

PMID: 39984790 PMC: 11845334. DOI: 10.1186/s40635-025-00733-z.


Why do we use transpulmonary thermodilution and pulmonary artery catheter in severe shock patients?.

Monnet X, Lai C, De Backer D Ann Intensive Care. 2025; 15(1):7.

PMID: 39808220 PMC: 11732821. DOI: 10.1186/s13613-024-01400-4.


Using the ventilator to predict fluid responsiveness.

Monnet X, De Backer D, Pinsky M Intensive Care Med. 2024; 51(1):150-153.

PMID: 39680080 PMC: 11787196. DOI: 10.1007/s00134-024-07708-w.


Passive leg raising uncovers venous congestion: dynamic fluid intolerance and the Doppler Starling curve.

Kenny J Crit Care. 2024; 28(1):388.

PMID: 39587637 PMC: 11590204. DOI: 10.1186/s13054-024-05171-z.


Impact of remimazolam on postoperative inflammatory markers and complications in thoracoscopic pulmonary lobectomy patients: A retrospective analysis.

Chen X, Shi M, Shi H Medicine (Baltimore). 2024; 103(45):e40251.

PMID: 39533563 PMC: 11557021. DOI: 10.1097/MD.0000000000040251.


References
1.
Zampieri F, Damiani L, Bakker J, Ospina-Tascon G, Castro R, Cavalcanti A . Effects of a Resuscitation Strategy Targeting Peripheral Perfusion Status versus Serum Lactate Levels among Patients with Septic Shock. A Bayesian Reanalysis of the ANDROMEDA-SHOCK Trial. Am J Respir Crit Care Med. 2019; 201(4):423-429. DOI: 10.1164/rccm.201905-0968OC. View

2.
Teboul J, Hamzaoui O, Monnet X . SvO2 to monitor resuscitation of septic patients: let's just understand the basic physiology. Crit Care. 2011; 15(6):1005. PMC: 3388677. DOI: 10.1186/cc10491. View

3.
Cecconi M, Corredor C, Arulkumaran N, Abuella G, Ball J, Grounds R . Clinical review: Goal-directed therapy-what is the evidence in surgical patients? The effect on different risk groups. Crit Care. 2013; 17(2):209. PMC: 3679445. DOI: 10.1186/cc11823. View

4.
Calvo-Vecino J, Ripolles-Melchor J, Mythen M, Casans-Frances R, Balik A, Artacho J . Effect of goal-directed haemodynamic therapy on postoperative complications in low-moderate risk surgical patients: a multicentre randomised controlled trial (FEDORA trial). Br J Anaesth. 2018; 120(4):734-744. DOI: 10.1016/j.bja.2017.12.018. View

5.
Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K . Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 2018; 129(4):663-674. DOI: 10.1097/ALN.0000000000002300. View