Raghavan Murugan, MD, MS, FRCP Associate Professor of Critical Care Medicine, and Clinical & Translational Science Core Faculty, Center for Critical Care.

Slides:



Advertisements
Similar presentations
AKI in Pediatrics Patrick D. Brophy MD Associate Professor
Advertisements

Journal Club: AKI and timing of RRT in Post-op ITU Patients
A Comparison of Early Versus Late Initiation of Renal Replacement Therapy in Critically III Patients with Acute Kidney Injury: A Systematic Review and.
The Duration of Hypotension Prior to Initiation of Effective Antimicrobial Therapy is the Critical Determinant of Survival in Human Septic Shock Anand.
A Randomized Trial of Protocol-Based Care for Early Septic Shock Andrea Caballero, MD January 15, 2015 LSU Journal Club The ProCESS Investigators. N Engl.
ECMO in CRRT – What are the Data?
AKI Definitions Stuart L. Goldstein, MD Professor of Pediatrics University of Cincinnati College of Medicine Director, Center for Acute Care Nephrology.
 Exemplary Care  Cutting-edge Research  World-class Education  Raghavan Murugan MD, MS, FRCP Associate Professor Dept. of Critical Care Medicine Clinical.
Systemic inflammatory response syndrome score at admission independently predicts mortality and length of stay in trauma patients. by R2 黃信豪.
The long-term outcome after acute renal failure Presented by Ri 顏玎安.
IMPROVING OUR UNDERSTANDING OF DRUG ASSOCIATED AKI Sandra Kane-Gill, PharmD, MS, FCCM, FCCP Associate Professor of Pharmacy, Critical Care Medicine, and.
Association of Commonly Used Medications with Prevalence and Renal Recovery after Postoperative Acute Kidney Injury Shahab Bozorgmehri, MD, MPH, CPH 1.
Preventive Health Care Use in Elderly Uterine Cancer Survivors Division of Health Policy and Management School of Public Health University of Minnesota.
PREDICTING AKI IS MORE CHALLENGING AS AGE PROGRESSES Sandra Kane-Gill, PharmD, MSc Associate Professor, School of Pharmacy.
©2013 Astute Medical, Inc. PN 0138 Rev B 2013/03/19
Complete Recovery of Renal Function After Acute Kidney Injury is Associated with Long-Term All-Cause Mortality In a Large Managed Care Organization Jennifer.
Epidemiology of Mechanical Ventilation Antonio Anzueto MD Professor of Medicine University of Texas Health Science Center, San Antonio, Texas.
Intensive versus Conventional Glucose Control in Critical Ill Patients N Engl J Med 2009; 360: 雙和醫院 劉慧萍藥師.
The Relationship between Acute Kidney Injury and Brain MRI Findings in Asphyxiated Newborns after Therapeutic Hypothermia David T Selewski, MD 1, David.
Thomas S. Rector, PhD, Inder S. Anand, MD, David Nelson, PhD, Kristine Ensrud, MD and Ann Bangerter, MS CHF QUERI NETWORK November 8, 2007 VA Medical Center,
Irbesartan Diabetic Nephropathy Trial (IDNT) Collaborative Study Group N Eng J Med 345: , 2001 Edmund J. Lewis, M.D. Muehrcke Family Professor of.
Thank you for viewing this presentation. We would like to remind you that this material is the property of the author. It is provided to you by the ERS.
A Retrospective Study of Outcomes in Pediatric Hematology/Oncology Patients Receiving Continuous Venovenous Hemodialysis Y Avent 1, N Henderson 1, T Collie.
 Exemplary Care  Cutting-edge Research  World-class Education  Raghavan Murugan MD, MS, FRCP Associate Professor Dept. of Critical Care Medicine Clinical.
References Results Methods Purpose Incidence and Clinical Course of Acute Kidney Injury in Adult Patients with Severe Trauma SeungJee Ryu*, Young Ok Kim*,
Stuart L. Goldstein, MD Professor of Pediatrics
Plasma soluble receptor for advanced glycation end products (sRAGE) predicts survival in critically ill patients with systemic inflammatory response syndrome.
A Comparison of Albumin and Saline for Fluid Resuscitation in the Intensive Care Unit The SAFE Study Investigators N Engl J Med 2004: 350:
Acute kidney injury and fluid overload during pediatric extracorporeal membrane oxygenation are associated with increased mortality: a report of the multi-centre.
Excessive fluid is not needed: So why is Dr. Durward so wasteful? Timothy E Bunchman MD Professor & Director Pediatric Nephrology
A Novel Score to Estimate the Risk of Pneumonia After Cardiac Surgery
The Association between blood glucose and length of hospital stay due to Acute COPD exacerbation Yusuf Kasirye, Melissa Simpson, Naren Epperla, Steven.
Bicarbonate-Based Solutions in the Management of Acute Kidney Injury Vania Cecilia Prudencio-Ribera, MD 1 ; Universidad Mayor de San Simón, School of Medicine,
THE EFFECT OF TIMING OF INITITIATION OF CRRT ON PATIENTS REQUIRING EXTRA-CORPOREAL MEMBRANE OXYGENATION (ECMO) Asif Mansuri, MD, MRCPI Fellow, Division.
Interobserver Reliability of Acute Kidney Injury Network (AKIN) criteria A single center cohort study Figure 2 The acute kidney injury network (AKIN) criteria.
Haemofiltration for sepsis: burial or resurrection?
+ What to Do When Early Enteral Feeding is Not Possible in Critically Ill Patients? Results of a Multicenter Observational Study Naomi E Cahill RD MSc.
Results Methods Abstract Number 69 Objectives 1.Nephrol Dial Transplant (2011) 26: 537–543 2.J Support Oncol 2011;9:149–155 3.N Engl J Med. 2009; 361:1627–1638.
John A. Kellum, MD, MCCM Professor of Critical Care Medicine, Medicine, Bioengineering and Clinical & Translational Science Vice Chair for Research Director,
Date of download: 5/28/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Long-term Risk of Mortality and End-Stage Renal Disease.
Proposals by Paramedical Staff to Initiate Rehabilitation in Patients with Critical Illness on Mechanical Ventilation Acknowledgements This study was approved.
Retrospective Monocentric 10-Year Analysis Of Sepsis-Associated Acute Kidney Injury: Impact On Outcome, Dialysis Dose And Residual Renal Function 1 Vincenzo.
PANDHARIPANDE PP ET AL. N ENGL J MED 2013; 369: Long-Term Cognitive Impairment after Critical Illness.
< 회기-강동 합동 컨퍼런스> Systemic Inflammatory Response Syndrome criteria in Defining Severe sepsis Kirsi-Maija Kaukonen, M.D., Ph.D., Michael Bailey, Ph.D.,
Trends in the Surgical Management of Distal Humerus Fractures in the United States, 2002 to 2011 Presenter: David C Landy CoAuthors: Jimmy J Jiang, Hristo.
Am J Kidney Dis. 2014;63(6): R3 박세정 /prof. 이태원 Comparative Effectiveness of Early Versus Conventional Timing of Dialysis Initiation in Advanced.
Introduction Purpose Body mass index (BMI) is calculated using height and weight, this is a simple and useful index for nutrition and obesity. Furthermore,
Alcohol dependence is independently associated with sepsis, septic shock, and hospital mortality among adult ICU patients Crit Care Med 2007 ; 35 :
Supplementary Table 1 C min of Teicoplanin at 1 st and 2 nd TDM in patients with administration of additional loading dose on the 4 th day Teicoplanin.
AKI in critically ill cancer patients: do we need more studies? : No !
An AKI project for critically ill cancer patients
AKI in critically ill cancer patients:
RIFLE criteria for acute kidney injury
The Duration of Hypotension Prior to Initiation of Effective Antimicrobial Therapy is the Critical Determinant of Survival in Human Septic Shock Anand.
Sensitivity Analyses Intraoperative neuromuscular blocking agent administration and hospital readmission Sub-cohort Frequency of readmitted patients (percent.
Volume 1: Chronic Kidney Disease Chapter 5: Acute Kidney Injury
DEBATE: Timing of CRRT in Critical Care
PREDICTIVE VALUE OF CHRONIC KIDNEY DISEASE (CKD) IN ACUTE KIDNEY INJURY (AKI) PRESENTATION IN AN INTENSIVE CARE UNIT (ICU) OF A LOCAL HOSPITAL. José María.
Hazard ratio (HR) for mortality for a 1-kg/m2 increase in body mass index (BMI) across the range of baseline BMI among patients with acute ischemic stroke.
Volume 152, Issue 5, Pages (November 2017)
Objectives Early initiation of continuous renal replacement therapy
2018 Annual Data Report Volume 1: Chronic Kidney Disease
Impact of Electronic Acute Kidney Injury (AKI) Alerts With Automated Nephrologist Consultation on Detection and Severity of AKI: A Quality Improvement.
Molly E. Waring, PhD, Jane S
J Foland, J Fortenberry, B Warshaw,
Volume 80, Issue 7, Pages (October 2011)
Kai Singbartl, John A. Kellum  Kidney International 
Consultant Clinical Biochemist
Dr Donal O’Donoghue National Clinical Director for Kidney Care
Identification of thresholds for significant renal recovery in relation to patient and renal survival. Identification of thresholds for significant renal.
Presentation transcript:

Raghavan Murugan, MD, MS, FRCP Associate Professor of Critical Care Medicine, and Clinical & Translational Science Core Faculty, Center for Critical Care Nephrology & CRISMA Center University of Pittsburgh School of Medicine Fluid Balance and Long-Term Outcomes in Critical Illness

Disclosure Grant from Bard Inc. – Intensity of monitoring of renal function in critically ill patients

Background Fluid balance (FB) is frequently disrupted in critically ill patients with acute kidney injury (AKI) Positive FB prevalent in up to 40% of ICU patients Negative FB prevalent in up to 50% of patients However, association between exposure to FB and long term outcomes is unclear Lowell et. al., Crit Care Med 1990 Vaara et. al., Crit Care 2012 Bellomo et. al., Crit Care Med 2012

Positive Fluid Balance Previous studies that have examined association between positive FB and outcomes – Conflicting results – Indication bias – Compared patients with only negative FB – Examined only short term outcomes – Included patients for propensity to fluid overload (e.g., Heart failure)

Negative Fluid Balance Negative FB is thought to be associated with improved survival – Compared patients to positive FB – Biologic plausibility – Short term outcomes Bellomo et. al., Crit Care Med 2012

Conceptual Model Murugan R and Kellum JA. CCM 2012

Positive Fluid Balance and Outcome Prowle, J.R. et al; Nat Rev Neprol 2010

Hypothesis Among critically ill patients, positive FB, compared with even FB, is associated with increased 1-year mortality Negative FB, compared with even FB, is associated with lower 1-year mortality Among patients receiving RRT, positive and negative FB would be associated with impaired renal recovery

Methods HIDenIC Dataset – Adults admitted to 8 different UPMC ICUs between July, 2000 and October, 2008 Mortality data from SSDMF and dialysis data from USRDS * FB = Cumulative daily fluid input – output X 100 Hospital admission weight Propensity score was created to account for indication bias for fluid use AKI was defined using the KDIGO criteria * Slewiski et. al., Intensive Care Medicine 2011

Methods Propensity matched case-control study to examine positive FB and mortality Grays model to estimate risk-adjusted hazard ratios of positive and negative FB Logistic regression model to estimate risk-adjusted OR for renal recovery

Study Population

Definition of Positive, Negative, and Even FB Positive FB: > 5% – 4.9% Even FB: 0-4% – 13.3% Negative FB: < 0% – 81.8%

Age, yrs, median (IQR)60 (47-73)65 (51-77)65 (51-78)<0.001 BMI, kg/m2 median (IQR) 26.8 ( ) 27.1 ( ) 24.6 ( ) <0.001 Co-morbidities History of hypertension2410(22.1)432(24.3)176(27) History of vascular disease721 (6.6)140(7.9)56(8.6) History of malignant neoplasms 361(3.3)84(4.7)42(6.4)<0.001 Multiple comorbidities2951(27)553(31)268(41)<0.001 Clinical Characteristics Surgical admission7127 (65.2)1047 (58.8)410 (62.8)<0.001 Vasopressors a 2622 (24)396 (22.3)193 (29.6)<0.001 Mechanical Ventilation a 7136 (65.3)995 (55.9)393 (60.2)<0.001 Sepsis a 1508 (13.8)246 (13.8)117 (17.9) Apache III score mean (SD) 62.8 (26.2)65.6 (29.2)72.3 (29.9)<0.001 Fluids in 1st 24hrs, L/day, median (IQR) 3.4 ( )3.54 ( )4.4 (3 - 7)<0.001 Average daily fluid balance, L/day median -0.9 (-1.4 to -0.5)0.3 ( )1 ( )<0.001 Baseline serum creatinine0.81 ( )0.84 ( )0.82 ( ) AKI within 24hrs of ICU3110 (28.4 )686 (38.5)260 (40)<0.001 Characteristic Negative (N=10,925) Even (N=1,780) Positive (N=653) P Value Key Baseline Characteristics

Crude Outcomes by Fluid Balance CharacteristicNegative (N=10,925) Even (N=1,780) Positive (N=653) P Value Length of hospital stay (days, median, interquartile range) 15 (9-25)11 (7-19)17 (10-28)<0.001 All AKI8741 (80)1527 (85.7)597 (91.4)<0.001 KDIGO Stage (20.6)252 (14.2)75 (11.5) <0.001 KDIGO Stage (43.1)748 (42)229 (35.1) KDIGO Stage (16.3)527 (29.6)293 (44.9) RRT requirement362 (3.3)229 (12.9)128 (19.6)<0.001 Hospital mortality1158 (10.6)310 (17.4)194 (29.7)< year mortality2728 (25)569 (32)302 (46.3)< year renal recovery*96 (26.5)72 (31.4)42 (32.8) * Defined as alive and independent of RRT in the RRT subgroup

Outcomes in the Propensity Matched Cohort Characteristic N (%) Controls (<5% FB) (n = 1366) Cases (>=5% FB) (n = 480) P value Length of hospital stay (days, median, interquartile range) 17 (10-30)17 (10-28) AKI during hospitalization (KDIGO criteria) Stage (13.1)58 (12.1) Stage (37.2)161 (33.5) Stage (39.8)222 (46.3) RRT requirement 171 (12.5)104 (21.7)<0.001 Hospital Mortality 265 (19.4)146 (30.4)< year Mortality 503 (36.8)229 (47.7)< year Renal Recovery 41 (3)32 (6.67)0.216

Fluid Balance and Mortality Mortality (%) Days from ICU admission Positive Even Log Rank P <0.001 Controls (< 5%) Days from ICU admission Mortality (%) Cases (> 5%) Log Rank P <0.001 Negative

Negative vs Even FB on Mortality Adjusted for age, sex, race, surgical admission, comorbidity, malignancy, baseline creatinine, BMI, mechanical ventilation, vasopressor use, sepsis, hypotensive index, APACHE III, AKI severity, oliguria Adjusted Hazard Ratio Range = 0.60 – 1.32, P <0.001

Positive vs. Even FB on Mortality Adjusted Hazard Ratio Range= 1.24 – 1.41, P =0.003 Adjusted for age, sex, race, surgical admission, comorbidity, malignancy, baseline creatinine, BMI, mechanical ventilation, vasopressor use, sepsis, hypotensive index, APACHE III, AKI severity, oliguria

Positive vs. Negative FB on Mortality Adjusted for age, sex, race, surgical admission, comorbidity, malignancy, baseline creatinine, BMI, mechanical ventilation, vasopressor use, sepsis, hypotensive index, APACHE III, AKI severity, oliguria Adjusted Hazard Ratio Range= 1.16 – 1.80, P <0.001

Fluid Balance and Renal Recovery and Mortality in RRT Subgroup PopulationCharacteristic Adjusted Odds Ratio (95% CI) * Renal RecoveryMortality RRT population (n= 719) Positive vs Even FB0.89 (0.50 – 1.59)1.27 (0.74 – 2.17) Negative vs Even FB0.61 (0.39 – 0.97)1.54 (1.02 – 2.35) 1 year survivors (n=252) Positive vs Even FB1.81 (0.48 – 6.86) Negative vs Even FB0.95 (0.36 – 2.49) * Models adjusted for age, sex, race, reference estimated glomerular filtration rate, surgery, comorbidities, oliguria, modality and timing of RRT, Apache III score, vasopressors, mechanical ventilation, suspected sepsis, and hypotensive index.

Conclusions Positive, compared with even and negative FB, is associated with increased 1 year mortality Negative, compared with even FB, has variable association with 1 year mortality Among patients receiving RRT, negative and positive FB were not associated with renal recovery

Acknowledgements Vikram Balakumar, MDFlorentina Sileanu, MS John Kellum, MD Visit us at ccm.pitt.edu/center-critical-care-nephrology-team Follow