Prevalence and risk factors of hypotension associated with preload-dependence during intermittent hemodialysis in critically ill patients

Critical Care

Volumn 20, Issue 1, 2016, Pages

  Bitker, Laurent ^a   Bayle, Frédérique ^a   Yonis, Hodane ^a,b   Gobert, Florent ^a,b   Leray, Véronique ^a   Taponnier, Romain ^a   Debord, Sophie ^a,b   Stoian Cividjian, Alina ^a,b   Guérin, Claude ^a,b,c   Richard, Jean Christophe ^a,b,d  

^a CROIX ROUSSE HOSPITAL   (France)

^b UNIVERSITÉ LYON 1   (France)

^c FACULTÉ DE MÉDECINE   (France)

^d UNIVERSITÉ DE LYON   (France)

Author keywords

Acute kidney injury; Cardiac output; Cardiovascular monitoring; Circulatory failure; Hemodynamics; Renal replacement therapy

Indexed keywords

ACUTE KIDNEY FAILURE; ADULT; AGED; ARTICLE; ARTIFICIAL VENTILATION; CONTROLLED STUDY; CRITICALLY ILL PATIENT; DIALYSATE; DISEASE ASSOCIATION; FEMALE; HEART EJECTION FRACTION; HEART PRELOAD; HEMODIALYSIS; HUMAN; HYPOTENSION; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PATIENT MONITORING; PREDICTION; PREVALENCE; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; ACUTE KIDNEY INJURY; ADVERSE EFFECTS; CRITICAL ILLNESS; CROSS-SECTIONAL STUDY; MIDDLE AGED; MORTALITY; PROSPECTIVE STUDY; RENAL REPLACEMENT THERAPY;

ACUTE KIDNEY INJURY; AGED; CRITICAL ILLNESS; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; HYPOTENSION; MIDDLE AGED; PROSPECTIVE STUDIES; RENAL DIALYSIS; RENAL REPLACEMENT THERAPY; RISK FACTORS;

EID: 84975748255     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-016-1227-3     Document Type: Article

References (29)

1. Kidney Disease Improving Global Outcomes (KDIGO) Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012; 2:1-138.
2. Schortgen F, Soubrier N, Delclaux C, Thuong M, Girou E, Brun-Buisson C, et al. Hemodynamic tolerance of intermittent hemodialysis in critically ill patients: usefulness of practice guidelines. Am J Respir Crit Care Med. 2000;162:197-202.
3. du Cheyron D, Terzi N, Seguin A, Valette X, Prevost F, Ramakers M, et al. Use of online blood volume and blood temperature monitoring during haemodialysis in critically ill patients with acute kidney injury: a single-centre randomized controlled trial. Nephrol Dial Transplant. 2013;28:430-7.
4. Vinsonneau C, Camus C, Combes A, Costa de Beauregard MA, Klouche K, Boulain T, et al. Continuous venovenous haemodiafiltration versus intermittent haemodialysis for acute renal failure in patients with multiple-organ dysfunction syndrome: a multicentre randomised trial. Lancet. 2006;368:379-85.
5. Tonelli M, Astephen P, Andreou P, Beed S, Lundrigan P, Jindal K. Blood volume monitoring in intermittent hemodialysis for acute renal failure. Kidney Int. 2002;62:1075-80.
6. du Cheyron D, Lucidarme O, Terzi N, Charbonneau P. Blood volume- and blood temperature-controlled hemodialysis in critically ill patients: a 6-month, case-matched, open-label study. Blood Purif. 2010;29:245-51.
7. Rosenberg AL, Dechert RE, Park PK, Bartlett RH. Review of a large clinical series: association of cumulative fluid balance on outcome in acute lung injury: a retrospective review of the ARDSnet tidal volume study cohort. J Intensive Care Med. 2009;24:35-46.
8. Sakr Y, Vincent JL, Reinhart K, Groeneveld J, Michalopoulos A, Sprung CL, et al. High tidal volume and positive fluid balance are associated with worse outcome in acute lung injury. Chest. 2005;128:3098-108.
9. Humphrey H, Hall J, Sznajder I, Silverstein M, Wood L. Improved survival in ARDS patients associated with a reduction in pulmonary capillary wedge pressure. Chest. 1990;97:1176-80.
10. Kinet JP, Soyeur D, Balland N, Saint-Remy M, Collignon P, Godon JP. Hemodynamic study of hypotension during hemodialysis. Kidney Int. 1982;21:868-76.
11. Schortgen F. Hypotension during intermittent hemodialysis: new insights into an old problem. Intensive Care Med. 2003;29:1645-9.
12. Daugirdas JT. Dialysis hypotension: a hemodynamic analysis. Kidney Int. 1991;39:233-46.
13. Daugirdas JT. Pathophysiology of dialysis hypotension: an update. Am J Kidney Dis. 2001;38 Suppl 4:S11-17.
14. Michard F, Teboul JL. Predicting fluid responsiveness in ICU patients: a critical analysis of the evidence. Chest. 2002;121:2000-8.
15. Pinsky MR. Functional haemodynamic monitoring. Curr Opin Crit Care. 2014;20:288-93.
16. Cavallaro F, Sandroni C, Marano C, La Torre G, Mannocci A, De Waure C, et al. Diagnostic accuracy of passive leg raising for prediction of fluid responsiveness in adults: systematic review and meta-analysis of clinical studies. Intensive Care Med. 2010;36:1475-83.
17. Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA. 1993;270:2957-63.
18. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22:707-10.
19. R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014.
20. Wiegand H. Survey sampling. Biom Z. 1968;10:88-9.
21. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team. Linear and nonlinear mixed effects models. R package version 3.1-124. 2015. Available at: http://CRAN.R-project.org/package=nlme.
22. Bates D, Maechler M, Bolker B, Walker S. Linear mixed-effects models using Eigen and S4. R package version 1.1-7. 2014. Available at: http://cran.r-project.org/package=lme4.
23. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011;12:77.
24. López-Ratón M, Rodriguez-Alvarez MX, Cadarso-Suárez C, Gude-Sampedro F. OptimalCutpoints: an R package for selecting optimal cutpoints in diagnostic tests. J Stat Softw. 2014;61:1-36.
25. Cnaan A, Laird NM, Slasor P. Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Stat Med. 1997;16:2349-80.
26. Jabot J, Teboul JL, Richard C, Monnet X. Passive leg raising for predicting fluid responsiveness: importance of the postural change. Intensive Care Med. 2009;35:85-90.
27. Cherpanath TG, Hirsch A, Geerts BF, Lagrand WK, Leeflang MM, Schultz MJ, Groeneveld AB. Predicting fluid responsiveness by passive leg raising: a systematic review and meta-analysis of 23 clinical trials. Crit Care Med. 2016;doi: 10.1097/CCM.0000000000001556
28. Hamzaoui O, Monnet X, Richard C, Osman D, Chemla D, Teboul JL. Effects of changes in vascular tone on the agreement between pulse contour and transpulmonary thermodilution cardiac output measurements within an up to 6-hour calibration-free period. Crit Care Med. 2008;36:434-40.
29. Guerin L, Monnet X, Teboul JL. Monitoring volume and fluid responsiveness: from static to dynamic indicators. Best Pract Res Clin Anaesthesiol. 2013;27:177-85.