The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Prediction of fluid responsiveness: an update
Open accessAbstract
In patients with acute circulatory failure, the decision to give fluids or not should not be taken lightly. The risk of overzealous fluid administration has been clearly established. Moreover, volume expansion does not always increase cardiac output as one expects. Thus, after the very initial phase and/or if fluid losses are not obvious, predicting fluid responsiveness should be the first step of fluid strategy. For this purpose, the central venous pressure as well as other "static" markers of preload has been used for decades, but they are not reliable. Robust evidence suggests that this traditional use should be abandoned. Over the last 15 years, a number of dynamic tests have been developed. These tests are based on the principle of inducing short-term changes in cardiac preload, using heart-lung interactions, the passive leg raise or by the infusion of small volumes of fluid, and to observe the resulting effect on cardiac output. Pulse pressure and stroke volume variations were first developed, but they are reliable only under strict conditions. The variations in vena caval diameters share many limitations of pulse pressure variations. The passive leg-raising test is now supported by solid evidence and is more frequently used. More recently, the end-expiratory occlusion test has been described, which is easily performed in ventilated patients. Unlike the traditional fluid challenge, these dynamic tests do not lead to fluid overload. The dynamic tests are complementary, and clinicians should choose between them based on the status of the patient and the cardiac output monitoring technique. Several methods and tests are currently available to identify preload responsiveness. All have some limitations, but they are frequently complementary. Along with elements indicating the risk of fluid administration, they should help clinicians to take the decision to administer fluids or not in a reasoned way.
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Cites
Early goal-directed therapy in the treatment of severe sepsis and septic shock
Rivers, E., Nguyen, B., Havstad, S., Ressler, J., Muzzin, A., Knoblich, B., Peterson, E., & Tomlanovich, M. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010307 · Cited by 10,743
De Rosa, S., Samoni, S., Villa, G., & Ronco, C. (2017) · Blood Purification · doi:10.1159/000452650 · Cited by 5,007
Sepsis in European intensive care units: Results of the SOAP study*
Vincent, J.-L., Sakr, Y., Sprung, C. L., Ranieri, V. M., Reinhart, K., Gerlach, H., Moreno, R., Carlet, J., Le Gall, J.-R., & Payen, D. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000194725.48928.3a · Cited by 2,836
Cecconi, M., De Backer, D., Antonelli, M., Beale, R., Bakker, J., Hofer, C., Jaeschke, R., Mebazaa, A., Pinsky, M. R., Teboul, J. L., et al. (2014) · Intensive Care Medicine · doi:10.1007/s00134-014-3525-z · Cited by 1,767
Self-citationThe Pediatric Guidelines Sub-Committee for the World Society of the Abdominal Compartment Syndrome, Kirkpatrick, A. W., Roberts, D. J., De Waele, J., Jaeschke, R., Malbrain, M. L. N. G., De Keulenaer, B., Duchesne, J., Bjorck, M., Leppaniemi, A., et al. (2013) · Intensive Care Medicine · doi:10.1007/s00134-013-2906-z · Cited by 1,624
Boyd, J. H., Forbes, J., Nakada, T.-A., Walley, K. R., & Russell, J. A. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181feeb15 · Cited by 1,517
MICHARD, F., BOUSSAT, S., CHEMLA, D., ANGUEL, N., MERCAT, A., LECARPENTIER, Y., RICHARD, C., PINSKY, M. R., & TEBOUL, J.-L. (2000) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.162.1.9903035 · Cited by 1,458
Self-citationPredicting Fluid Responsiveness in ICU Patients
Michard, F., & Teboul, J.-L. (2002) · Chest · doi:10.1378/chest.121.6.2000 · Cited by 1,367
Self-citationMarik, P. E., Cavallazzi, R., Vasu, T., & Hirani, A. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181a590da · Cited by 1,272
Self-citationBouchard, J., Soroko, S. B., Chertow, G. M., Himmelfarb, J., Ikizler, T. A., Paganini, E. P., & Mehta, R. L. (2009) · Kidney International · doi:10.1038/ki.2009.159 · Cited by 1,076
Cited by
Hernández, G., Ospina-Tascón, G. A., Damiani, L. P., Estenssoro, E., Dubin, A., Hurtado, J., Friedman, G., Castro, R., Alegría, L., Teboul, J.-L., et al. (2019) · JAMA · doi:10.1001/jama.2019.0071 · Cited by 946
Self-citationMalbrain, M. L. N. G., Van Regenmortel, N., Saugel, B., De Tavernier, B., Van Gaal, P.-J., Joannes-Boyau, O., Teboul, J.-L., Rice, T. W., Mythen, M., & Monnet, X. (2018) · Annals of Intensive Care · doi:10.1186/s13613-018-0402-x · Cited by 632
Self-citation2023 Update on Sepsis and Septic Shock in Adult Patients: Management in the Emergency Department
Guarino, M., Perna, B., Cesaro, A. E., Maritati, M., Spampinato, M. D., Contini, C., & De Giorgio, R. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093188 · Cited by 294
Transpulmonary thermodilution: advantages and limits
Monnet, X., & Teboul, J.-L. (2017) · Critical Care · doi:10.1186/s13054-017-1739-5 · Cited by 285
Self-citationFluid Therapy for Critically Ill Adults With Sepsis: A Review
Zampieri, F. G., Bagshaw, S. M., & Semler, M. W. (2023) · JAMA · doi:10.1001/jama.2023.7560 · Cited by 184
Metadata
- Authors
- Monnet, X., Marik, P. E., & Teboul, J.-L.
- Venue
- Annals of Intensive Care
- Publisher
- Elsevier BV
- Published
- 2016-11-17
- Volume
- 6
- Issue
- 1
- Pages
- 111-111
- ISSN
- 2110-5820 (ISSN-L)
- OpenAlex
- W2553821910
- Cited by
- 600
- References
- 80
- FWCI
- 48.46
- Type
- journal article
- Language
- en
- Open access
- gold
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