Comparison of the Systemic Inflammatory Response Syndrome between Monomicrobial and Polymicrobial Pseudomonas aeruginosa Nosocomial Bloodstream Infections.

Slides:



Advertisements
Similar presentations
Survival benefits and policy conflicts in Sepsis
Advertisements

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.
Wes Theurer, DO.  Recognize sepsis early  Understand therapeutic principles  Cultures before antibiotics  Crystalloid fluid resuscitation  Antimicrobials.
A controlled trial was conducted in the medical ICU of an 820-bed, tertiary care, academic medical center. Phase 1 (P1) was a 3-month period of standard.
H CAP & H AP Pamela Charity, MD Cathryn Caton, MD, MS.
Correlation of Leukocyte Count with Clinical Outcomes in Hospitalized Patients with Community-Acquired Pneumonia: Results from Rapid Empiric Treatment.
Early Goal Therapy in Severe Sepsis & Septic Shock
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.
1 25th ECCMID , Munich, Germany Magnitude of bacteremia predicts one-year mortality Kim O. Gradel 1, Henrik C. Schønheyder 1,2, Mette Søgaard 1,
Surviving Sepsis Michael Stewart CT2 EM
Use of antibiotics. Antibiotic use Antimicrobials are the 2 nd most common drugs prescribed by office based physicians In USA1992: 110 million oral antimicrobial.
C-Reactive Protein: a Prognosis Factor for Septic Patients Systematic Review and Meta-analysis Introduction to Medicine – 1 st Semester Class 4, First.
H CAP & H AP Pamela Charity, MD Cathryn Caton, MD, MS.
Multidrug-Resistant Bacteria in Solid Organ Transplantation Jordi Carratalà Department of Infectious Diseases IDIBELL-Hospital Universitari de Bellvitge.
Top 5 Papers in Infectious Diseases Pharmacotherapy: A Review of 2013 for the General Practitioner Sharanie V. Sims, Pharm.D., BCPS (AQ-ID) Infectious.
Nosocomial infection Hospital Infection. Hospital acquired infections Nosocomial infections are those that originate or occur in a hospital or hospital-like.
PREDICTING AKI IS MORE CHALLENGING AS AGE PROGRESSES Sandra Kane-Gill, PharmD, MSc Associate Professor, School of Pharmacy.
MULTIDRUG-RESISTANT ACINETOBACTER BAUMANNII INFECTION IN RESPIRATORY INTENSIVE CARE UNIT Pervin Korkmaz Ekren 1, M. Sezai Tasbakan 1, Burcu Basarık 1,
Terry White, MBA, BSN SEPSIS. SIRS Systemic Inflammatory Response System SIRS is a widespread inflammatory response to a variety of severe clinical injuries.
Inappropriate empirical antimicrobial Tx for coagulase-negative staphylococcal (CoNS) bacteraemia: impact on survival Single-centre retrospective cohort.
The study of Pathogens causing Community Acquired Pneumonia in hematological malignancy patients comparing to general patients who hospitalized in Naresuan.
Response to foreign body Inflammatory reaction –Localized –Generalized Generalized inflammatory reaction –Infective –Noninfective Sepsis: Generalized inflammatory,
Estimates of the Impact of Sepsis Syndromes Annually in U.S. Sepsis 200,000 Severe sepsis 200,000 Septic shock 200,000 Mortality Deaths -46%92, %40,000.
Daniel Pilsgaard Henriksen MD, PhD Dept. of Clinical Chemistry and Pharmacology, OUH Research Unit of Emergency Medicine, SDU 12 November 2014 Community-acquired.
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.
SIRS Dr. Jonathan R. Goodall M62 Coloproctology Course 31 st March 2006.
© 2009 CSTS: The Cardiovascular Surgical Translational Study Using the Centers for Disease Control and Prevention’s National Healthcare Safety Network.
AUTHOR: MORAR ANICUȚA IONELA COORDINATOR: COPOTOIU MONICA COAUTHOR: ROMAN NICOLETA GRANCEA IULIA.
PICU PERFORMANCE AND OUTCOME SCORES Prof. Dr. Reda Sanad Arafa Professor of Pediatrics Faculty of Medicine Benha University EGYPT Benha Faculty Of.
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.
Clinical Trials for Bloodstream Infection / Infective Endocarditis G. Ralph Corey, MD Vance Fowler, MD Duke Clinical Research Institute April 15, 2004.
Hospital Acquired Pneumonia(HAP): is defined as a pneumonia which occurs after 48 hours of admission to hospital. Hospital Acquired Pneumonia(HAP): is.
Predisposing Factors, Microbial Characteristics, and Clinical Outcome of Microbial Keratitis in Hong Kong: A 10-Year Experience Alex LK Ng, Ian YH Wong.
Raghavan Murugan, MD, MS, FRCP Associate Professor of Critical Care Medicine, and Clinical & Translational Science Core Faculty, Center for Critical Care.
Points for Discussion Anti-Infective Drugs Advisory Committee Meeting March 5, 2003.
Poster Design & Printing by Genigraphics ® A Comparison of the Effects of Etomidate and Midazolam on the Duration of Vasopressor Use in.
Center for Drug Evaluation and Research March 6, 2005 Bacteremia and Endocarditis: Products and Guidance Janice Soreth, MD Director Division of Anti-Infective.
Sepsis Syndromes. Sepsis and Septic Shock 13th leading cause of death in U.S.13th leading cause of death in U.S. 500,000 episodes each year500,000 episodes.
SIRS SEPSIS MODS Odessa National Medical University Grubnik V.V.
Risk Factors and Outcome of Changes in Adrenal Response to ACTH in the Course of Critical Illness Margriet Fleur Charlotte de Jong, MD, PhD, Albertus Beishuizen,
Retrospective Monocentric 10-Year Analysis Of Sepsis-Associated Acute Kidney Injury: Impact On Outcome, Dialysis Dose And Residual Renal Function 1 Vincenzo.
Diamantis P. Kofteridis, Christina Alexopoulou, Antonios Valachis, Sofia Maraki, Dimitra Dimopoulou Clinical Infectious Diseases 2010; 51(11):1238–1244.
< 회기-강동 합동 컨퍼런스> Systemic Inflammatory Response Syndrome criteria in Defining Severe sepsis Kirsi-Maija Kaukonen, M.D., Ph.D., Michael Bailey, Ph.D.,
Towards Global Eminence K Y U N G H E E U N I V E R S I T Y j 내과 R2 이지영.
LSU Journal Club Corticosteroid Therapy for Patients Hospitalized With Community-Acquired Pneumonia A Systematic Review and Meta-analysis Scott Hebert,
Predicting Mortality in Non-Variceal Upper Gastrointestinal Bleeders: Validation of the Italian PNED Score and Prospective Comparison With the Rockall.
Tigecycline use in serious nosocomial infections: a drug use evaluation Matteo Bassetti*, Laura Nicolini, Ernestina Repetto, Elda Righi, Valerio Del Bono,
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.
Clinical Infectious Diseases 2012;55(6):764–70 Jan Vydra,1 Ryan M. Shanley,2 Ige George,1 Celalettin Ustun,1 Angela R. Smith,4 Daniel J. Weisdorf,1 and.
Quality Management in the ICU Mazen Kherallah, MD, FCCP Chairman, Critical Care Department King Faisal Specialist Hospital & Research Center.
SEPSIS - 3 James S. Kennedy, MD, CCS, CDIP
Changing Epidemiology of Adult Bacterial Meningitis in Southern Taiwan: A Hospital-Based Study Infection 2008; 36: 15–22 W.-N. Chang, C.-H. Lu, C.-R. Huang,
Christopher A. Guidry MD MS, Robert G. Sawyer MD
An AKI project for critically ill cancer patients
Yadegarynia, D. MD..
Age and its Impact on Outcomes with Intraabdominal Infections
MedStar Washington Hospital Center Cardiac Catheterization Conference
The Duration of Hypotension Prior to Initiation of Effective Antimicrobial Therapy is the Critical Determinant of Survival in Human Septic Shock Anand.
Universidad Militar Nueva Granada, School of Medicine
RENAL TRANSPLANTATION IN AN INTENSIVE CARE UNIT:
Evaluating Sepsis Guidelines and Patient Outcomes
Utilizing the Candida Score to Identify Patients at Increased Risk for
Presenter: Julie Paronish Faculty Advisor: Nancy W. Glynn, PhD
Intra-Abdominal Candidiasis, Candida peritonitis
Inflammatory response and clinical course of adult patients with nosocomial bloodstream infections caused by Candida spp.  H. Wisplinghoff, H. Seifert,
Presentation transcript:

Comparison of the Systemic Inflammatory Response Syndrome between Monomicrobial and Polymicrobial Pseudomonas aeruginosa Nosocomial Bloodstream Infections Alexandre R. Marra, Gonzalo Bearman, Richard P. Wenzel and Michael B. Edmond Federal University of São Paulo, Escola Paulista de Medicina, São Paulo, Brazil and Virginia Commonwealth University, Richmond, Virginia ABSTRACT METHODS RESULTS (continued) Background: Some studies of nosocomial bloodstream infection (nBSI) have demonstrated higher mortality rates due to polymicrobial bacteremia when compared to monomicrobial nBSI. Methods: We performed a historical cohort study on 98 adults with P. aeruginosa (Pa) nBSI to define the associated systemic inflammatory response syndrome (SIRS). We examined SIRS scores 2 days prior through 14 days after the first positive blood culture. Monomicrobial (n=77) and polymicrobial BSIs (n=21) were compared. Bacteremia was defined as polymicrobial if microorganisms other than P. aeruginosa were isolated from the blood culture. Coagulase-negative staphylococci were considered contaminants unless they grew in two or more blood cultures. Variables significant in univariate analysis were entered into a logistic regression model. Results: 78.6% of BSIs were caused by monomicrobial P. aeruginosa infection (MPa) and 21.4% by polymicrobial P. aeruginosa infection (PPa). Median APACHE II score on the day of BSI was 22 for MPa and 23 for PPa BSIs. Septic shock occurred in 33.3% of PPa and in 39.0% of MPa (p=0.64). No significant difference was noted in the incidence of organ failure, 7-day or overall mortality between the two groups. Univariate analysis revealed that APACHE II score  20 at BSI onset, Charlson weighted comorbidity index  3, burn injury, and respiratory, cardiovascular, renal and hematologic failure were associated with death, while age, malignant disease, diabetes mellitus, hepatic failure, gastrointestinal complications, inappropriate antimicrobial therapy, infection with imipenem resistant P. aeruginosa and polymicrobial nBSI were not. Multivariate analysis revealed that hematologic failure (p<0.001) and APACHE II score  20 at BSI onset (p=0.007) independently predicted death. Conclusions: The incidence of septic shock and organ failure was high in both groups. Additionally, patients with PPa BSI were not more acutely ill, as judged by APACHE II score prior to blood culture positivity than those with MPa BSI. Using multivariable logistic regression analysis, the development of hematologic failure and APACHE II score  20 at BSI onset were independent predictors of death; however, PPa BSI was not. INTRODUCTION P. aeruginosa is an important nosocomial BSI pathogen with a high associated mortality. Although the frequency of Gram-negative sepsis has diminished over the last 20 years, the incidence of polymicrobial nBSI infection has increased. Prior studies of nosocomial bloodstream infection (nBSI) have reported a higher associated mortality with polymicrobial nBSI than with monomicrobial nBSI. Little information exists about the systemic inflammatory response in polymicrobial BSI. The purpose of this study was to evaluate and compare the inflammatory response, clinical course, and outcome of monomicrobial and polymicrobial nosocomial BSI due to Pseudomonas aeruginosa. Setting: The Virginia Commonwealth University Medical Center is a 820-bed tertiary care facility in Richmond, Virginia. The hospital houses 9 intensive care units and a burn unit; approximately 30,000 patients are admitted annually. Study design: Historical cohort study of 98 randomly selected patients with monomicrobial (n=77) and polymicrobial (N=21) P. aeruginosa nBSI from The clinical condition of each patient was classified according to systemic inflammatory response syndrome (SIRS) criteria [SIRS, sepsis, severe sepsis or septic shock] and APACHE II scores from two days prior to positive blood culture through 14 days afterwards. Definitions: Bacteremia was defined as polymicrobial if microorganisms other than P. aeruginosa were recovered from the blood culture within a 24 h period. SIRS was defined as two or more of the following: (1) temperature >38ºC or 90 beats/minute, (3) respiratory rate >20 breaths/ minute or PaCO 2 12,000/  L or 10% immature neutrophils. Sepsis was defined as SIRS associated with P. aeruginosa isolated from at least one blood culture. Sepsis with the presence of hypotension or systemic manifestations of hypoperfusion constituted severe sepsis. Septic shock was defined as sepsis associated with hypotension unresponsive to intravenous fluid challenge or the need for >5  g/kg/minute of dopamine or any other vasopressor agent. Organ system failure was assessed using the criteria described by Fagon. Statistical methods: Mean values were compared using 2 sample t tests for independent samples. Proportions were compared using a χ 2 test. All tests of significance were 2-tailed, and α was set at Independent predictors of mortality were identified by means of stepwise logistic regression analysis, using variables found to be significant in univariate analysis. In patients with P. aeruginosa nBSI: -One-fifth of cases are polymicrobial; -The incidence of septic shock and organ failure is high Patients with PPa BSI are not more severely ill prior to infection than those with MPa BSI, and APACHE II score  20 at BSI onset and the development of hematologic failure are independent predictors of death. Table 1: Patient characteristics and outcomes, stratified by polymicrobial infection (MPa vs. PPa) and underlying severity of illness before infection (APACHE II score > vs. < 20) Figure 1: Severe sepsis, septic shock and death in patients with P. aeruginosa nBSI stratified by polymicrobial infection CONCLUSIONS Table 2: Characteristics of 26 co-pathogens isolated in 21 cases of polymicrobial P. aeruginosa BSI RESULTS Figure 2: Mean APACHE II scores in patients with P. aeruginosa nBSI stratified by polymicrobial infection Total (n=98) PPa (n=21) MPa (n=77) AP2<20 (n=33) AP2>20 (n=65) Mean age (years) Male sex64.3%81.0%59.7%75.8%58.5% Mean LOS prior to nBSI (days) Mechanical ventilation %61.0%42.4%73.8% Hemodialysis %15.6%3.0%21.5% TPN %27.3%21.2%26.2% Transfusion %26.0%15.2%35.4% ICU83.7%90.5%81.8%72.7%89.2% Central venous line84.7%90.5%83.1%66.7%93.8% Burn injury17.3%42.9%10.4%9.1%21.5% Diabetes mellitus22.4%23.8%22.1%24.2%21.5% Neoplasia20.4%4.8%24.7%24.2%18.5% Gastrointestinal complication20.4%19.0%20.8%21.2%20.0% Polymicrobial infection18.2%23.1% Imipenem resistance26.5%28.6%26.0%12.1%33.8% AP2 >20 at day 0 (median)23 22 Charlson score >327.6%19.0%29.9%21.2%30.8% Inadequate antibiotic therapy43.9%85.7%48.1%45.5%43.1% Mean time to appropriate antimicrobial therapy (days) Respiratory failure74.5%71.4%75.3%45.5%89.2% CV failure37.8%33.3%39.0%9.1%52.3% Renal failure39.8%52.4%36.4%18.2%50.8% Hematologic failure32.7%28.6%33.8%21.2%38.5% Liver failure12.2%9.5%13.0%3.0%16.9% 7-day mortality22.4%28.6%20.8% Overall mortality45.9%38.1%48.1%12.1%63.1% K-1941 P<.05 Univariate Analysis*Multivariate Analysis Risk factorORP P Apache II score  < Charlson score Burn injury Cardiovascular failure5.2< Hematologic failure10.7< <0.001 Respiratory failure Renal failure Table 3: Risk factors for death in patients with P. aeruginosa nosocomial bloodstream infection *Only significant univariate variables are shown Alexandre R. Marra, MD UNIVERSIDADE FEDERAL DE SÃO PAULO Hospital São Paulo Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Grants/Research Support Microorganisms (n=26) Polymicrobial BSI cases (n=21) N% CNS415.4 Staphylococcus aureus*311.5 Enterococcus faecalis13.8 Enterococcus faecium27.7 Streptococcus pneumoniae13.8 Acinetobacter baumannii415.4 Burkholderia cepacia27.7 Enterobacter cloacae13.8 Klebsiella pneumoniae311.5 Klebsiella oxytoca13.8 Serratia marcescens13.8 Candida albicans311.5 CNS=coagulase-negative staphylococci; *Two methicillin-resistant S. aureus; **One vancomycin-resistant E. faecium