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Nohra E, Appelbaum RD, Farrell MS, Carver T, Jung HS, Kirsch JM, Kodadek LM, Mandell S, Nassar AK, Pathak A, Paul J, Robinson B, Cuschieri J, Stein DM. Fever and infections in surgical intensive care: an American Association for the Surgery of Trauma Critical Care Committee clinical consensus document. Trauma Surg Acute Care Open 2024; 9:e001303. [PMID: 38835635 PMCID: PMC11149120 DOI: 10.1136/tsaco-2023-001303] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 04/11/2024] [Indexed: 06/06/2024] Open
Abstract
The evaluation and workup of fever and the use of antibiotics to treat infections is part of daily practice in the surgical intensive care unit (ICU). Fever can be infectious or non-infectious; it is important to distinguish between the two entities wherever possible. The evidence is growing for shortening the duration of antibiotic treatment of common infections. The purpose of this clinical consensus document, created by the American Association for the Surgery of Trauma Critical Care Committee, is to synthesize the available evidence, and to provide practical recommendations. We discuss the evaluation of fever, the indications to obtain cultures including urine, blood, and respiratory specimens for diagnosis of infections, the use of procalcitonin, and the decision to initiate empiric antibiotics. We then describe the treatment of common infections, specifically ventilator-associated pneumonia, catheter-associated urinary infection, catheter-related bloodstream infection, bacteremia, surgical site infection, intra-abdominal infection, ventriculitis, and necrotizing soft tissue infection.
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Affiliation(s)
- Eden Nohra
- Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Rachel D Appelbaum
- Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Thomas Carver
- Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Hee Soo Jung
- Department of Surgery, University of Wisconsin Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Jordan Michael Kirsch
- Department of Surgery, Westchester Medical Center/ New York Medical College, Valhalla, NY, USA
| | - Lisa M Kodadek
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Samuel Mandell
- Department of Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Aussama Khalaf Nassar
- Department of Surgery, Section of Acute Care Surgery, Stanford University, Stanford, California, USA
| | - Abhijit Pathak
- Department of Surgery, Temple University School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jasmeet Paul
- Department of Surgery, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Bryce Robinson
- Department of Surgery, Harborview Medical Center, Seattle, Washington, USA
| | - Joseph Cuschieri
- Department of Surgery, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Deborah M Stein
- Department of Surgery, University of Maryland Baltimore, Baltimore, Maryland, USA
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Giacobbe DR, Asperges E, Cortegiani A, Grecchi C, Rebuffi C, Zuccaro V, Scudeller L, Bassetti M. Performance of existing clinical scores and laboratory tests for the diagnosis of invasive candidiasis in critically ill, nonneutropenic, adult patients: a systematic review with qualitative evidence synthesis. Mycoses 2022; 65:1073-1111. [PMID: 35938455 DOI: 10.1111/myc.13515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/03/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND The Fungal Infections Definitions in Intensive Care Unit (ICU) patients (FUNDICU) project aims to provide standard sets of definitions for invasive fungal diseases in critically ill, adult patients. OBJECTIVES To summarize the available evidence on the diagnostic performance of clinical scores and laboratory tests for invasive candidiasis (IC) in nonneutropenic, adult critically ill patients. METHODS A systematic review was performed to evaluate studies assessing the diagnostic performance for IC of clinical scores and/or laboratory tests vs. a reference standard or a reference definition in critically ill, nonneutropenic, adult patients in ICU. RESULTS Clinical scores, despite the heterogeneity of study populations and IC prevalences, constantly showed a high negative predictive value (NPV) and a low positive predictive value (PPV) for the diagnosis of IC in the target population. Fungal antigen-based biomarkers (with most studies assessing serum beta-D-glucan) retained a high NPV similar to that of clinical scores, with a higher PPV, although the latter showed important heterogeneity across studies, possibly reflecting the targeted or untargeted use of these tests in patients with a consistent clinical picture and risk factors for IC. CONCLUSIONS Both clinical scores and laboratory tests showed high NPV for the diagnosis of IC in nonneutropenic critically ill patients. The PPV of laboratory tests varies significantly according to the baseline patients' risk of IC. This qualitative synthesis will provide the FUNDICU panel with baseline evidence to be considered during the development of definitions of IC in critically ill, nonneutropenic adult patients in ICU.
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Affiliation(s)
- Daniele Roberto Giacobbe
- Department of Health Sciences, University of Genoa, Genoa, Italy.,Clinica Malattie Infettive, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy
| | - Erika Asperges
- Infectious Diseases Unit, IRCCS San Matteo, Pavia, Italy
| | - Andrea Cortegiani
- Department of Surgical, Oncological and Oral Science (Di.Chir.On.S.), University of Palermo, Palermo, Italy.,Department of Anesthesia, Intensive Care and Emergency, Policlinico Paolo Giaccone, Palermo, Italy
| | | | - Chiara Rebuffi
- Scientific Direction, IRCCS Istituto Giannina Gaslini, Scientific Direction, Italy
| | | | - Luigia Scudeller
- Research and Innovation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Matteo Bassetti
- Department of Health Sciences, University of Genoa, Genoa, Italy.,Clinica Malattie Infettive, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy
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An approach to develop clinical prediction rule for candidemia in critically ill patients: A retrospective observational study. J Crit Care 2021; 65:216-220. [PMID: 34252648 DOI: 10.1016/j.jcrc.2021.06.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/26/2021] [Accepted: 06/30/2021] [Indexed: 11/21/2022]
Abstract
PURPOSE Early detection of candidemia in critically ill patients is important for preemptive antifungal treatment. Our study aimed to identify the independent risk factors for the development of a new candidemia prediction score. METHODS This single-centre retrospective observational study evaluated 2479 intensive care unit (ICU) cases from January 2016 to December 2018. A total of 76 identified candidemia cases and 76 matched control cases were analyzed. The patients' demographic characteristics and illness severity were analyzed, and possible risk factors for candidemia were investigated. RESULTS Multivariate logistic regression analysis identified renal replacement therapy (RRT) (odds ratio [OR]: 52.83; 95% confidence interval [CI]: 7.82-356.92; P < 0.0001), multifocal Candida colonization (OR: 23.55; 95% CI: 4.23-131.05; P < 0.0001), parenteral nutrition (PN) (OR: 63.67; 95% CI: 4.56-889.77; P = 0.002), and acute kidney injury (AKI) (OR: 7.67; 95% CI: 1.24-47.30; P = 0.028) as independent risk factors. A new prediction score with a cut-off value of 5.0 (80.3% sensitivity and 77.3% specificity) was formulated from the logit model equation. CONCLUSIONS Renal replacement therapy, AKI, PN, and multifocal Candida colonization were the independent risk factors for the new candidemia prediction score with high discriminatory performance and predictive accuracy.
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