The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Assessing the Diagnostic Accuracy of Pulse Pressure Variations for the Prediction of Fluid Responsiveness: A “Gray Zone” Approach
Open accessAbstract
Background: Respiratory arterial pulse pressure variations (PPV) are the best predictors of fluid responsiveness in mechanically ventilated patients during general anesthesia. However, previous studies were performed in a small number of patients and determined a single cutoff point to make clinical discrimination. The authors sought to test the predictive value of PPV in a large, multicenter study and to express it using a gray zone approach. Methods: The authors studied 413 patients during general anesthesia and mechanical ventilation in four centers. PPV, central venous pressure, and cardiac output were recorded before and after volume expansion (VE). Response to VE was defined as more than 15% increase in cardiac output after VE. The following approaches were used to determine the gray zones: resampled and two-graph receiver operator characteristic curves. The impact of changes in the benefit-risk balance of VE on the gray zone was also evaluated. Results: The authors observed 209 responders (51%) and 204 nonresponders (49%) to VE. The area under receiver operating characteristic curve was 0.89 (95% CI: 0.86-0.92) for PPV, compared with 0.57 (95% CI: 0.54-0.59) for central venous pressure (P < 10). The gray zone approach identified a range of PPV values (between 9% and 13%) for which fluid responsiveness could not be predicted reliably. These PPV values were seen in 98 (24%) patients. Changes in the cost ratio of VE moderately affected the gray zone limits. Conclusion: Despite a strong predictive value, PPV may be inconclusive (between 9% and 13%) in approximately 25% of patients during general anesthesia.
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DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
ROCR: visualizing classifier performance in R
Sing, T., Sander, O., Beerenwinkel, N., & Lengauer, T. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti623 · Cited by 3,200
Empirical evidence of design-related bias in studies of diagnostic tests.
Lijmer, J. G. (1999) · JAMA · doi:10.1001/jama.282.11.1061 · Cited by 1,861
Marik, P. E., Baram, M., & Vahid, B. (2008) · Chest · doi:10.1378/chest.07-2331 · Cited by 1,516
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
Systematic reviews of evaluations of diagnostic and screening tests
Deeks, J. J. (2001) · BMJ · doi:10.1136/bmj.323.7305.157 · Cited by 1,340
Marik, P. E., Cavallazzi, R., Vasu, T., & Hirani, A. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181a590da · Cited by 1,272
A unification of models for meta-analysis of diagnostic accuracy studies
Harbord, R. M., Deeks, J. J., Egger, M., Whiting, P., & Sterne, J. A. C. (2007) · Biostatistics · doi:10.1093/biostatistics/kxl004 · Cited by 751
Changes in Arterial Pressure during Mechanical Ventilation
Michard, F. (2005) · Anesthesiology · doi:10.1097/00000542-200508000-00026 · Cited by 713
Feissel, M., Michard, F., Mangin, I., Ruyer, O., Faller, J.-P., & Teboul, J.-L. (2001) · CHEST · doi:10.1378/chest.119.3.867 · Cited by 612
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Marik, P. E., & Cavallazzi, R. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e31828a25fd · Cited by 866
Comparison of Echocardiographic Indices Used to Predict Fluid Responsiveness in Ventilated Patients
Vignon, P., Repessé, X., Bégot, E., Léger, J., Jacob, C., Bouferrache, K., Slama, M., Prat, G., & Vieillard-Baron, A. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201604-0844oc · Cited by 308
Noninvasive Cardiac Output Monitors: A State-of the-Art Review
Marik, P. E. (2013) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2012.03.022 · Cited by 293
Alian, A. A., & Shelley, K. H. (2014) · Best Practice & Research Clinical Anaesthesiology · doi:10.1016/j.bpa.2014.08.006 · Cited by 289
Metadata
- Authors
- Cannesson, M., Le Manach, Y., Hofer, C. K., Goarin, J. P., Lehot, J.-J., Vallet, B., & Tavernier, B.
- Venue
- Anesthesiology
- Published
- 2011-08-01
- Volume
- 115
- Issue
- 2
- Pages
- 231-241
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W1994385356
- Cited by
- 554
- References
- 29
- FWCI
- 38.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Cannesson, M., Le Manach, Y., Hofer, C. K., Goarin, J. P., Lehot, J.-J., Vallet, B., & Tavernier, B. (2011). Assessing the Diagnostic Accuracy of Pulse Pressure Variations for the Prediction of Fluid Responsiveness: A “Gray Zone” Approach. Anesthesiology. https://doi.org/10.1097/aln.0b013e318225b80a
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