Association of Net Ultrafiltration Rate With Mortality Among Critically Ill Adults With Acute Kidney Injury Receiving Continuous Venovenous Hemodiafiltration

JAMA network open - Tập 2 Số 6 - Trang e195418
Raghavan Murugan1,2, Samantha J. Kerti2, Chung-Chou H. Chang3,4,2, Martin Gallagher5, Gilles Clermont2, Paul M. Palevsky4,6,1, John A. Kellum1,2, Rinaldo Bellomo7
1The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
2The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
3Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
4Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
5The George Institute for Global Health and University of Sydney, Sydney, New South Wales, Australia
6Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
7Department of Intensive Care Medicine, Austin Hospital, The University of Melbourne, Melbourne, Victoria, Australia

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Balakumar, 2017, Both positive and negative fluid balance may be associated with reduced long-term survival in the critically ill., Crit Care Med, 45, e749, 10.1097/CCM.0000000000002372

Vaara, 2012, Fluid overload is associated with an increased risk for 90-day mortality in critically ill patients with renal replacement therapy: data from the prospective FINNAKI study., Crit Care, 16, R197, 10.1186/cc11682

Palevsky, 2013, KDOQI US commentary on the 2012 KDIGO Clinical Practice Guideline for Acute Kidney Injury., Am J Kidney Dis, 61, 649, 10.1053/j.ajkd.2013.02.349

Bouchard, 2009, Fluid accumulation, survival and recovery of kidney function in critically ill patients with acute kidney injury., Kidney Int, 76, 422, 10.1038/ki.2009.159

Bellomo, 2012, An observational study of fluid balance and patient outcomes in the Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy trial., Crit Care Med, 40, 1753, 10.1097/CCM.0b013e318246b9c6

Burton, 2009, Hemodialysis-induced repetitive myocardial injury results in global and segmental reduction in systolic cardiac function., Clin J Am Soc Nephrol, 4, 1925, 10.2215/CJN.04470709

Silversides, 2014, Fluid balance, intradialytic hypotension, and outcomes in critically ill patients undergoing renal replacement therapy: a cohort study., Crit Care, 18, 624, 10.1186/s13054-014-0624-8

Murugan, 2018, Net ultrafiltration intensity and mortality in critically ill patients with fluid overload., Crit Care, 22, 223, 10.1186/s13054-018-2163-1

Flythe, 2011, Rapid fluid removal during dialysis is associated with cardiovascular morbidity and mortality., Kidney Int, 79, 250, 10.1038/ki.2010.383

Kim, 2018, Association of ultrafiltration rate with mortality in incident hemodialysis patients., Nephron, 139, 13, 10.1159/000486323

Movilli, 2007, Association between high ultrafiltration rates and mortality in uraemic patients on regular haemodialysis: a 5-year prospective observational multicentre study., Nephrol Dial Transplant, 22, 3547, 10.1093/ndt/gfm466

Saran, 2006, Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS., Kidney Int, 69, 1222, 10.1038/sj.ki.5000186

Bellomo, 2009, Intensity of continuous renal-replacement therapy in critically ill patients., N Engl J Med, 361, 1627, 10.1056/NEJMoa0902413

von Elm, 2007, The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies., Ann Intern Med, 147, 573, 10.7326/0003-4819-147-8-200710160-00010

Psaty, 1999, Assessment and control for confounding by indication in observational studies., J Am Geriatr Soc, 47, 749, 10.1111/jgs.1999.47.issue-6

Siew, 2013, Use of multiple imputation method to improve estimation of missing baseline serum creatinine in acute kidney injury research., Clin J Am Soc Nephrol, 8, 10, 10.2215/CJN.00200112

Buuren, 2011, MICE: multivariate imputation by chained equations in R., J Stat Softw, 45, 1, 10.18637/jss.v045.i03

Závada, 2010, A comparison of three methods to estimate baseline creatinine for RIFLE classification., Nephrol Dial Transplant, 25, 3911, 10.1093/ndt/gfp766

Gray, 1992, Flexible methods for analyzing survival data using splines, with applications to breast cancer prognosis., J Am Stat Assoc, 87, 942, 10.1080/01621459.1992.10476248

Gray, 1994, Spline-based tests in survival analysis., Biometrics, 50, 640, 10.2307/2532779

Kasal, 2004, Comparison of Cox and Gray’s survival models in severe sepsis., Crit Care Med, 32, 700, 10.1097/01.CCM.0000114819.37569.4B

Valenta, 2002, Estimation of the survival function for Gray’s piecewise-constant time-varying coefficients model., Stat Med, 21, 717, 10.1002/(ISSN)1097-0258

Rizopoulos, 2011, Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data., Biometrics, 67, 819, 10.1111/biom.2011.67.issue-3

Wulfsohn, 1997, A joint model for survival and longitudinal data measured with error., Biometrics, 53, 330, 10.2307/2533118

Burton, 2009, Hemodialysis-induced cardiac injury: determinants and associated outcomes., Clin J Am Soc Nephrol, 4, 914, 10.2215/CJN.03900808

McIntyre, 2011, Circulating endotoxemia: a novel factor in systemic inflammation and cardiovascular disease in chronic kidney disease., Clin J Am Soc Nephrol, 6, 133, 10.2215/CJN.04610510

Shivalkar, 1999, Repeated stunning precedes myocardial hibernation in progressive multiple coronary artery obstruction., J Am Coll Cardiol, 34, 2126, 10.1016/S0735-1097(99)00467-2

McMullen, 2004, Inhibition of mTOR signaling with rapamycin regresses established cardiac hypertrophy induced by pressure overload., Circulation, 109, 3050, 10.1161/01.CIR.0000130641.08705.45

Ritz, 2008, The challenge of sudden death in dialysis patients., Clin J Am Soc Nephrol, 3, 920, 10.2215/CJN.04571007

Palevsky, 2008, Intensity of renal support in critically ill patients with acute kidney injury., N Engl J Med, 359, 7, 10.1056/NEJMoa0802639

Demirjian, 2011, Hypophosphatemia during continuous hemodialysis is associated with prolonged respiratory failure in patients with acute kidney injury., Nephrol Dial Transplant, 26, 3508, 10.1093/ndt/gfr075

Aubier, 1985, Effect of hypophosphatemia on diaphragmatic contractility in patients with acute respiratory failure., N Engl J Med, 313, 420, 10.1056/NEJM198508153130705

Lim, 2017, Hypophosphatemia in critically ill patients with acute kidney injury treated with hemodialysis is associated with adverse events., Clin Kidney J, 10, 341

Yang, 2013, Hypophosphatemia during continuous veno-venous hemofiltration is associated with mortality in critically ill patients with acute kidney injury., Crit Care, 17, R205, 10.1186/cc12900

Flythe, 2013, Shorter length dialysis sessions are associated with increased mortality, independent of body weight., Kidney Int, 83, 104, 10.1038/ki.2012.346

Flythe, 2013, Disentangling the ultrafiltration rate-mortality association: the respective roles of session length and weight gain., Clin J Am Soc Nephrol, 8, 1151, 10.2215/CJN.09460912

Kidney Disease Improving Global Outcome (KDIGO) Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. https://kdigo.org/wp-content/uploads/2016/10/KDIGO-2012-AKI-Guideline-English.pdf. Accessed May 1, 2019.