Literature DB >> 30737765

Derivation of a quick Pitt bacteremia score to predict mortality in patients with Gram-negative bloodstream infection.

Sarah E Battle1, Matthew R Augustine2, Christopher M Watson3, P Brandon Bookstaver4,5, Joseph Kohn5, William B Owens1,2, Larry M Baddour6, Majdi N Al-Hasan7,8.   

Abstract

PURPOSE: This retrospective cohort study derived a "quick" version of the Pitt bacteremia score (qPitt) using binary variables in patients with Gram-negative bloodstream infections (BSI). The qPitt discrimination was then compared to quick sepsis-related organ failure assessment (qSOFA) and systemic inflammatory response syndrome (SIRS).
METHODS: Hospitalized adults with Gram-negative BSI at Palmetto Health hospitals in Columbia, SC, USA from 2010 to 2013 were identified. Multivariate Cox proportional hazards regression was used to determine variables associated with 14-day mortality.
RESULTS: Among 832 patients with Gram-negative BSI, median age was 65 years and 449 (54%) were women. After adjustments for age and Charleston comorbidity score, all five components of qPitt were independently associated with mortality: temperature < 36 °C [hazard ratio (HR) 3.02, 95% confidence interval (CI) 1.95-4.62], systolic blood pressure < 90 mmHg or vasopressor use (HR 2.40, 95% CI 1.37-4.13), respiratory rate ≥ 25/min or mechanical ventilation (HR 3.01, 95% CI 1.81-5.14), cardiac arrest (HR 5.35, 95% CI 2.81-9.43), and altered mental status (HR 3.99, 95% CI 2.44-6.80). The qPitt had higher discrimination to predict mortality [area under receiver operating characteristic curve (AUROC) 0.85] than both qSOFA (AUROC 0.77, p < 0.001) and SIRS (AUROC 0.63, p < 0.001). There was a significant difference in mortality between appropriate and inappropriate empirical antimicrobial therapy in patients with qPitt ≥ 2 (24% vs. 49%, p < 0.001), but not in those with qPitt < 2 (3% vs. 5%, p = 0.36).
CONCLUSIONS: The qPitt had good discrimination in predicting mortality following Gram-negative BSI and identifying opportunities for improved survival with appropriate empirical antimicrobial therapy.

Entities:  

Keywords:  Antibiotics; Bacteremia; Outcomes; Sepsis; Survival

Mesh:

Year:  2019        PMID: 30737765     DOI: 10.1007/s15010-019-01277-7

Source DB:  PubMed          Journal:  Infection        ISSN: 0300-8126            Impact factor:   3.553


  28 in total

1.  Impact of inadequate empirical therapy on the mortality of patients with bloodstream infections: a propensity score-based analysis.

Authors:  Pilar Retamar; María M Portillo; María Dolores López-Prieto; Fernando Rodríguez-López; Marina de Cueto; María V García; María J Gómez; Alfonso Del Arco; Angel Muñoz; Antonio Sánchez-Porto; Manuel Torres-Tortosa; Andrés Martín-Aspas; Ascensión Arroyo; Carolina García-Figueras; Federico Acosta; Juan E Corzo; Laura León-Ruiz; Trinidad Escobar-Lara; Jesús Rodríguez-Baño
Journal:  Antimicrob Agents Chemother       Date:  2011-10-17       Impact factor: 5.191

Review 2.  A systematic review of the methods used to assess the association between appropriate antibiotic therapy and mortality in bacteremic patients.

Authors:  Jessina C McGregor; Shayna E Rich; Anthony D Harris; Eli N Perencevich; Regina Osih; Thomas P Lodise; Ram R Miller; Jon P Furuno
Journal:  Clin Infect Dis       Date:  2007-06-19       Impact factor: 9.079

3.  CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting.

Authors:  Teresa C Horan; Mary Andrus; Margaret A Dudeck
Journal:  Am J Infect Control       Date:  2008-06       Impact factor: 2.918

Review 4.  American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis.

Authors: 
Journal:  Crit Care Med       Date:  1992-06       Impact factor: 7.598

5.  Health care--associated bloodstream infections in adults: a reason to change the accepted definition of community-acquired infections.

Authors:  N Deborah Friedman; Keith S Kaye; Jason E Stout; Sarah A McGarry; Sharon L Trivette; Jane P Briggs; Wanda Lamm; Connie Clark; Jennifer MacFarquhar; Aaron L Walton; L Barth Reller; Daniel J Sexton
Journal:  Ann Intern Med       Date:  2002-11-19       Impact factor: 25.391

6.  Risk factors and a clinical index for diagnosis of Pseudomonas aeruginosa bacteremia.

Authors:  William R. Gransden; Leonard Leibovici; Susannah J. Eykyn; Silvio D. Pitlik; Zmira Samra; Hanna Konisberger; Moshe Drucker; Ian Phillips
Journal:  Clin Microbiol Infect       Date:  1995-02       Impact factor: 8.067

7.  Age- and sex-associated trends in bloodstream infection: a population-based study in Olmsted County, Minnesota.

Authors:  Daniel Z Uslan; Sarah J Crane; James M Steckelberg; Franklin R Cockerill; Jennifer L St Sauver; Walter R Wilson; Larry M Baddour
Journal:  Arch Intern Med       Date:  2007-04-23

8.  Scoring systems for prediction of mortality in patients with intensive care unit-acquired sepsis: a comparison of the Pitt bacteremia score and the Acute Physiology and Chronic Health Evaluation II scoring systems.

Authors:  Ji-Young Rhee; Ki Tae Kwon; Hyun Kyun Ki; Sang Yop Shin; Dong Sik Jung; Doo-Ryeon Chung; Byoung-Chun Ha; Kyong Ran Peck; Jae-Hoon Song
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9.  International prospective study of Klebsiella pneumoniae bacteremia: implications of extended-spectrum beta-lactamase production in nosocomial Infections.

Authors:  David L Paterson; Wen-Chien Ko; Anne Von Gottberg; Sunita Mohapatra; Jose Maria Casellas; Herman Goossens; Lutfiye Mulazimoglu; Gordon Trenholme; Keith P Klugman; Robert A Bonomo; Louis B Rice; Marilyn M Wagener; Joseph G McCormack; Victor L Yu
Journal:  Ann Intern Med       Date:  2004-01-06       Impact factor: 25.391

10.  Prospective observational study of Klebsiella bacteremia in 230 patients: outcome for antibiotic combinations versus monotherapy.

Authors:  J A Korvick; C S Bryan; B Farber; T R Beam; L Schenfeld; R R Muder; D Weinbaum; R Lumish; D N Gerding; M M Wagener
Journal:  Antimicrob Agents Chemother       Date:  1992-12       Impact factor: 5.191

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2.  Moving from predicting hospital deaths by antibiotic-resistant bloodstream bacteremia toward actionable risk reduction using machine learning on electronic health records.

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4.  The Pitt Bacteremia Score Predicts Mortality in Nonbacteremic Infections.

Authors:  Heather Henderson; Courtney L Luterbach; Eric Cober; Sandra S Richter; Robert A Salata; Robert C Kalayjian; Richard R Watkins; Yohei Doi; Keith S Kaye; Scott Evans; Vance G Fowler; Robert A Bonomo; Anthony Harris; Sonia Napravnik; David Van Duin
Journal:  Clin Infect Dis       Date:  2020-04-15       Impact factor: 9.079

5.  Modified Pitt bacteremia score for predicting mortality in patients with candidaemia: A multicentre seven-year retrospective study conducted in Japan.

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6.  The quick Sepsis-related Organ Failure Assessment (qSOFA) is a good predictor of in-hospital mortality in very elderly patients with bloodstream infections: A retrospective observational study.

Authors:  José M Ramos-Rincón; Adela Fernández-Gil; Esperanza Merino; Vicente Boix; Adelina Gimeno; Juan C Rodríguez-Diaz; Beatriz Valero; Rosario Sánchez-Martínez; Joaquín Portilla
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7.  Risk and clinical outcomes of acute myocardial infarction and acute ischemic stroke following gram-negative bloodstream infection.

Authors:  Vinh-An D Vo; Mazen K Khalil; Majdi N Al-Hasan
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8.  Bloodstream Infections in Hematologic Malignancy Patients With Fever and Neutropenia: Are Empirical Antibiotic Therapies in the United States Still Effective?

Authors:  Andrea J Zimmer; Erica Stohs; Jane Meza; Christopher Arnold; John W Baddley; Pranatharthi Chandrasekar; Zeinab El Boghdadly; Carlos A Gomez; Eileen K Maziarz; Jose G Montoya; Steven Pergam; Kenneth V Rolston; Michael J Satlin; Gowri Satyanarayana; Shmuel Shoham; Lynne Strasfeld; Randy Taplitz; Thomas J Walsh; Jo-Anne H Young; Yuning Zhang; Alison G Freifeld
Journal:  Open Forum Infect Dis       Date:  2022-05-18       Impact factor: 4.423

9.  Risk factors for and clinical outcomes of carbapenem non-susceptible gram negative bacilli bacteremia in patients with acute myelogenous leukemia.

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Journal:  BMC Infect Dis       Date:  2020-06-09       Impact factor: 3.090

10.  Evaluation of the INCREMENT-CPE, Pitt Bacteremia and qPitt Scores in Patients with Carbapenem-Resistant Enterobacteriaceae Infections Treated with Ceftazidime-Avibactam.

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Journal:  Infect Dis Ther       Date:  2020-02-22
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