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Cao Y, Li Y, Wang M, Wang L, Fang Y, Wu Y, Liu Y, Liu Y, Hao Z, Kang H, Gao H. INTERPRETABLE MACHINE LEARNING FOR PREDICTING RISK OF INVASIVE FUNGAL INFECTION IN CRITICALLY ILL PATIENTS IN THE INTENSIVE CARE UNIT: A RETROSPECTIVE COHORT STUDY BASED ON MIMIC-IV DATABASE. Shock 2024; 61:817-827. [PMID: 38407989 DOI: 10.1097/shk.0000000000002312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
ABSTRACT The delayed diagnosis of invasive fungal infection (IFI) is highly correlated with poor prognosis in patients. Early identification of high-risk patients with invasive fungal infections and timely implementation of targeted measures is beneficial for patients. The objective of this study was to develop a machine learning-based predictive model for invasive fungal infection in patients during their intensive care unit (ICU) stay. Retrospective data was extracted from adult patients in the MIMIC-IV database who spent a minimum of 48 h in the ICU. Feature selection was performed using LASSO regression, and the dataset was balanced using the BL-SMOTE approach. Predictive models were built using six machine learning algorithms. The Shapley additive explanation algorithm was used to assess the impact of various clinical features in the optimal model, enhancing interpretability. The study included 26,346 ICU patients, of whom 379 (1.44%) were diagnosed with invasive fungal infection. The predictive model was developed using 20 risk factors, and the dataset was balanced using the borderline-SMOTE (BL-SMOTE) algorithm. The BL-SMOTE random forest model demonstrated the highest predictive performance (area under curve = 0.88, 95% CI = 0.84-0.91). Shapley additive explanation analysis revealed that the three most influential clinical features in the BL-SMOTE random forest model were dialysis treatment, APSIII scores, and liver disease. The machine learning model provides a reliable tool for predicting the occurrence of IFI in ICU patients. The BL-SMOTE random forest model, based on 20 risk factors, exhibited superior predictive performance and can assist clinicians in early assessment of IFI occurrence in ICU patients. Importance: Invasive fungal infections are characterized by high incidence and high mortality rates characteristics. In this study, we developed a clinical prediction model for invasive fungal infections in critically ill patients based on machine learning algorithms. The results show that the machine learning model based on 20 clinical features has good predictive value.
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Affiliation(s)
- Yuan Cao
- Emergency Department, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | | | | | | | - Yuan Fang
- Department of Critical Care Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | | | | | - Yixuan Liu
- Emergency Department, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ziqian Hao
- Emergency Department, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hongjun Kang
- Department of Critical Care Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Hengbo Gao
- Emergency Department, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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Li W, Chen G, Lin F, Yang H, Cui Y, Lu R, Song C, Li H, Li Y, Pan P. A scoring system based on novel biomarkers and clinical risk factors to predict invasive candidiasis in immunocompetent critically ill patients. Front Microbiol 2023; 14:1097574. [PMID: 36970699 PMCID: PMC10033536 DOI: 10.3389/fmicb.2023.1097574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/21/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundDelayed diagnosis further increases the mortality of invasive candidiasis (IC) in intensive care unit (ICU) patients. This study aimed to develop and validate a score based on novel serological biomarkers and clinical risk factors for predicting IC in immunocompetent ICU patients.MethodsWe retrospectively collected clinical data and novel serological markers on admission to ICU. Multivariate logistic regression was used to identify the risk factors associated with IC, which were adopted to establish a scoring system.ResultsPatients with IC had a higher C-reactive protein-to-albumin ratio (CAR) and neutrophil-to-lymphocyte ratio (NLR) and lower prognostic nutritional index than those without IC. The NLR, CAR, sepsis, total parenteral nutrition, 1,3-β-D-glucan (BDG)-positivity, and Sequential Organ Failure Assessment score were identified as independent risk factors for IC by multivariate logistic regression analysis and entered into the final scoring system. The area under receiver operating characteristic curve of the score were 0.883 and 0.892, respectively, in the development and validation cohort, higher than Candida score (0.883 vs.0.730, p < 0.001).ConclusionWe established a parsimonious score based on NLR, CAR, BDG-positivity, and clinical risk factors, which can accurately identify IC in ICU patients to give treatment on time and reduce mortality.
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Affiliation(s)
- Wen Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Gang Chen
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Fengyu Lin
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Hang Yang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Yanhui Cui
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Rongli Lu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Chao Song
- Nosocomial Infection Control Center, Xiangya Hospital, Central South University, Changsha, China
| | - Haitao Li
- First Department of Thoracic Medicine, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yi Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Yi Li,
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- *Correspondence: Pinhua Pan,
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Kim SH, Mun SJ, Kang JS, Moon C, Kim HT, Lee HY. Multifaceted Evaluation of Antibiotic Therapy as a Factor Associated with Candidemia in Non-Neutropenic Patients. J Fungi (Basel) 2023; 9:jof9020270. [PMID: 36836385 PMCID: PMC9960229 DOI: 10.3390/jof9020270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/04/2023] [Accepted: 02/12/2023] [Indexed: 02/22/2023] Open
Abstract
We aimed to evaluate various aspects of antibiotic therapy as factors associated with candidemia in non-neutropenic patients. A retrospective, matched, case-control study was conducted in two teaching hospitals. Patients with candidemia (cases) were compared to patients without candidemia (controls), matched by age, intensive care unit admission, duration of hospitalization, and type of surgery. Logistic regression analyses were performed to identify factors associated with candidemia. A total of 246 patients were included in the study. Of 123 candidemia patients, 36% had catheter-related bloodstream infections (CRBSIs). Independent factors in the whole population included immunosuppression (adjusted odds ratio [aOR] = 2.195; p = 0.036), total parenteral nutrition (aOR = 3.642; p < 0.001), and anti-methicillin-resistant S. aureus (MRSA) therapy for ≥11 days (aOR = 5.151; p = 0.004). The antibiotic factor in the non-CRBSI population was anti-pseudomonal beta-lactam treatment duration of ≥3 days (aOR = 5.260; p = 0.008). The antibiotic factors in the CRBSI population included anti-MRSA therapy for ≥11 days (aOR = 10.031; p = 0.019). Antimicrobial stewardship that reduces exposure to these antibacterial spectra could help prevent the development of candidemia.
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Affiliation(s)
- Si-Ho Kim
- Division of Infectious Diseases, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea
| | - Seok Jun Mun
- Division of Infectious Diseases, Department of Internal Medicine, Inje University Busan Paik Hospital, Inje University College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan 47392, Republic of Korea
- Correspondence: ; Tel.: +82-51-890-6986; Fax: +82-51-890-6341
| | - Jin Suk Kang
- Division of Infectious Diseases, Department of Internal Medicine, Inje University Busan Paik Hospital, Inje University College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan 47392, Republic of Korea
| | - Chisook Moon
- Division of Infectious Diseases, Department of Internal Medicine, Inje University Busan Paik Hospital, Inje University College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan 47392, Republic of Korea
| | - Hyoung-Tae Kim
- Department of Laboratory Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea
| | - Ho Young Lee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Republic of Korea
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The Changing Landscape of Invasive Fungal Infections in ICUs: A Need for Risk Stratification to Better Target Antifungal Drugs and the Threat of Resistance. J Fungi (Basel) 2022; 8:jof8090946. [PMID: 36135671 PMCID: PMC9500670 DOI: 10.3390/jof8090946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/02/2022] [Accepted: 09/03/2022] [Indexed: 12/02/2022] Open
Abstract
The landscape of invasive candidiasis and invasive aspergillosis has changed dramatically in intensive care units over the past two decades. Today, we are faced with new risk factors such as the emergence of resistance, but are also equipped with new therapeutic strategies and diagnostic tools which are changing epidemiological data and diagnostic algorithms. Some common points need to be addressed: (i) the best way to use microbiological tools and to integrate their results in decisional algorithms; (ii) the need to find the optimum balance between under-diagnosis and overtreatment; (iii) and the need to decipher pathophysiology. In this short review, we will try to illustrate these points.
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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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Mayer LM, Strich JR, Kadri SS, Lionakis MS, Evans NG, Prevots DR, Ricotta EE. Machine Learning in Infectious Disease for Risk Factor Identification and Hypothesis Generation: Proof of Concept Using Invasive Candidiasis. Open Forum Infect Dis 2022; 9:ofac401. [DOI: 10.1093/ofid/ofac401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Machine learning (ML) models can handle large datasets without assuming underlying relationships and can be useful for evaluating disease characteristics; yet, they are more commonly used for predicting individual disease risk rather than identifying factors at the population level. We offer a proof of concept applying random forest (RF) algorithms to Candida-positive hospital encounters in an electronic health record database of patients in the U.S.
Methods
Candida-positive encounters were extracted from the Cerner HealthFacts database; invasive infections were laboratory positive sterile site Candida infections. Features included demographics, admission source, care setting, physician specialty, diagnostic and procedure codes, and medications received prior to the first positive Candida culture. We used RF to assess risk factors for three outcomes: any invasive candidiasis (IC) vs non-IC, within-species IC vs non-IC (e.g. invasive C. glabrata vs non-invasive C. glabrata), and between-species IC (e.g. invasive C. glabrata vs all other IC).
Results
14 of 169 (8%) variables were consistently identified as important features in the ML models. When evaluating within-species IC, for example invasive C. glabrata vs non-invasive C. glabrata, we identified known features like central venous catheters, ICU stay, and gastrointestinal operations. In contrast, important variables for invasive C. glabrata vs all other IC included renal disease and medications like diabetes therapeutics, cholesterol medications, and antiarrhythmics.
Conclusions
Known and novel risk factors for IC were identified using ML, demonstrating the hypotheses generating utility of this approach for infectious disease conditions about which less is known, specifically at the species-level or for rarer diseases.
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Affiliation(s)
- Lisa M Mayer
- Office of Data Science and Emerging Technologies, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Rockville, MD , USA
| | - Jeffrey R Strich
- Critical Care Medicine Department, NIH Clinical Center, NIH , Bethesda, MD , USA
| | - Sameer S Kadri
- Critical Care Medicine Department, NIH Clinical Center, NIH , Bethesda, MD , USA
| | - Michail S Lionakis
- Fungal Pathogenesis Section, Laboratory of Clinical Immunology & Microbiology (LCIM), NIAID, NIH , Bethesda, MD , USA
| | - Nicholas G Evans
- Department of Philosophy, University of Massachusetts Lowell , 883 Broadway Street, Lowell, MA , USA
| | - D Rebecca Prevots
- Epidemiology and Population Studies Unit, LCIM, NIAID, NIH , Bethesda, MD , USA
| | - Emily E Ricotta
- Epidemiology and Population Studies Unit, LCIM, NIAID, NIH , Bethesda, MD , USA
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7
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Zhang J, Cheng W, Li D, Chen J, Zhao G, Wang H, Cui N. Development and Validation of a Risk Score for Predicting Invasive Candidiasis in Intensive Care Unit Patients by Incorporating Clinical Risk Factors and Lymphocyte Subtyping. Front Cell Infect Microbiol 2022; 12:829066. [PMID: 35573797 PMCID: PMC9091371 DOI: 10.3389/fcimb.2022.829066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 03/29/2022] [Indexed: 11/25/2022] Open
Abstract
Objective To develop and validate a rapid invasive candidiasis (IC)-predictive risk score in intensive care unit (ICU) patients by incorporating clinical risk factors and parameters of lymphocyte subtyping. Methods A prospective cohort study of 1054 consecutive patients admitted to ICU was performed. We assessed the clinical characteristics and parameters of lymphocyte subtyping at the onset of clinical signs of infection and their potential influence on IC diagnosis. A risk score for early diagnosis of IC was developed and validated based on a logistic regression model. Results Sixty-nine patients (6.5%) had IC. Patients in the cohort (N=1054) were randomly divided into a development (n=703) or validation (n=351) cohorts. Multivariate logistic regression identified that CD8+ T-cell count ≤143 cells/mm3, receipt of high-dose corticosteroids (dose ≥50 mg prednisolone equivalent), receipt of carbapenem/tigecycline, APACHE II score≥15, (1,3)-β-D-glucan (BDG) positivity and emergency gastrointestinal/hepatobiliary (GIT/HPB) surgery were significantly related with IC. IC risk score was calculated using the following formula: CD8+ T-cell count ≤143 cells/mm3 + receipt of high-dose corticosteroids + receipt of carbapenem/tigecycline + APACHE II score ≥15 + BDG positivity + emergency GIT/HPB surgery ×2. The risk scoring system had good discrimination and calibration with area under the receiver operating characteristic (AUROC) curve of 0.820 and 0.807, and a non-significant Hosmer-Lemeshow test P=0.356 and P=0.531 in the development and validation cohorts, respectively. We categorized patients into three groups according to risk score: low risk (0-2 points), moderate risk (3-4 points) and high risk (5-7 points). IC risk was highly and positively associated with risk score (Pearson contingency coefficient=0.852, P for trend=0.007). Candida score had a moderate predicting efficacy for early IC diagnosis. The AUROC of the risk score was significantly larger than that of Candida score (0.820 versus 0.711, Z=2.013, P=0.044). Conclusions The predictive scoring system, which used both clinical factors and CD8+ T cell count, served as a clinically useful predictive model for rapid IC diagnosis in this cohort of ICU patients. Clinical Trial Registration chictr.org.cn, identifier ChiCTR-ROC-17010750.
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Affiliation(s)
- Jiahui Zhang
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wei Cheng
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dongkai Li
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jianwei Chen
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Guoyu Zhao
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Hao Wang
- Department of Critical Care Medicine, Beijing Jishuitan Hospital, Beijing, China
- *Correspondence: Hao Wang, ; Na Cui,
| | - Na Cui
- Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- *Correspondence: Hao Wang, ; Na Cui,
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Helweg-Larsen J, Steensen M, Møller Pedersen F, Bredahl Jensen P, Perch M, Møller K, Riis Olesen B, Søderlund M, Cavling Arendrup M. Intensive Care Antifungal Stewardship Programme Based on T2Candida PCR and Candida Mannan Antigen: A Prospective Study. J Fungi (Basel) 2021; 7:jof7121044. [PMID: 34947026 PMCID: PMC8705527 DOI: 10.3390/jof7121044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 12/02/2021] [Accepted: 12/03/2021] [Indexed: 12/17/2022] Open
Abstract
Non-culture-based biomarkers may improve diagnosis and antifungal treatment (AFT) of invasive candidiasis (IC). We evaluated an antifungal stewardship programme (AFSP) in a prospective intensive care unit (ICU) study, which included T2Candida and Candida mannan antigen (MAg) screening of patients with sepsis and a high risk of IC. Patients with non-neutropenic sepsis and a high risk of IC from two large tertiary ICUs were prospectively included, during a one-year period. IC was classified as proven, likely, possible or unlikely. The AFSP, diagnostic values of T2Candida and MAg, and the consumption of antifungals were evaluated. An amount of 219 patients with 504 T2Candida/MAg samples were included. IC was classified as proven in 29 (13.2%), likely in 7 (3.2%) and possible in 10 (5.5%) patients. Sensitivity/specificity/PPV/NPV values, comparing proven/likely versus unlikely IC, were 47%/100%/94%/90% for BC alone, 50%/97%/75%/90% for T2Candida alone, and 39%/96%/67%/88% for MAg alone. For the combination of T2Candida/MAg taken ≤3 days after AFT initiation, sensitivity/specificity/PPV/NPV was 70%/90%/63%/93%. T2Candida/MAg contributed to early (<3 days) AFT initiation in 13%, early AFT discontinuation in 25% and abstaining from AFT in 24% of patients. No reduction in overall use of AFT during the study period compared with the previous year was observed. An AFSP based on T2Candida and MAg screening contributed to a reduction of unnecessary treatment, but not overall AFT use. The diagnostic performance of T2Candida was lower than previously reported, but increased if T2Candida was combined with MAg.
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Affiliation(s)
- Jannik Helweg-Larsen
- Department of Infectious Diseases, Rigshospitalet, 2100 Copenhagen, Denmark;
- Correspondence:
| | - Morten Steensen
- Department of Intensive Care, Rigshospitalet, 2100 Copenhagen, Denmark;
| | - Finn Møller Pedersen
- Department of Thoracic Anesthesiology, Rigshospitalet, 2100 Copenhagen, Denmark; (F.M.P.); (P.B.J.)
| | - Pia Bredahl Jensen
- Department of Thoracic Anesthesiology, Rigshospitalet, 2100 Copenhagen, Denmark; (F.M.P.); (P.B.J.)
| | - Michael Perch
- Department of Cardiology, Section for Lung Transplantation, Rigshospitalet, 2100 Copenhagen, Denmark;
| | - Kirsten Møller
- Department of Neuro Anesthesiology, Rigshospitalet, 2100 Copenhagen, Denmark;
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark;
| | | | - Mathias Søderlund
- Department of Infectious Diseases, Rigshospitalet, 2100 Copenhagen, Denmark;
| | - Maiken Cavling Arendrup
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark;
- Unit of Mycology, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Clinical Microbiology, Rigshospitalet, 2100 Copenhagen, Denmark
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Lahmer T, Peçanha-Pietrobom PM, Schmid RM, Colombo AL. Invasive fungal infections in acute and chronic liver impairment: A systematic review. Mycoses 2021; 65:140-151. [PMID: 34837414 DOI: 10.1111/myc.13403] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 11/06/2021] [Accepted: 11/15/2021] [Indexed: 12/18/2022]
Abstract
Patients with acute and chronic liver impairment are susceptible to invasive fungal infections such as candidemia and invasive pulmonary aspergillosis as a result of cirrhosis-associated immune dysfunction, humoral immunodeficiency, cell-mediated dysfunction and systemic inflammation. Besides classical risk factors for invasive fungal infection, acute-on-chronic liver failure, corticosteroid use, gastrointestinal bleeding, and prophylactic use of antibiotics are all additional conditions which are related to the potential development of fungal infections. Therefore, high-risk patients should be carefully followed by microbiological surveillance including cultures but also by imaging and fungal biomarkers for providing early diagnosis. Echinocandins are still the mainstay and first line antifungal therapy in cases of invasive candidiasis. Due to concerns of liver toxicity and in cases of renal impairment liposomal amphotericin B is a suitable alternative to voriconazole in patients with invasive pulmonary aspergillosis. Although, data of isavucoanzole and posaconazole use in those patients are also promising more specific studies in the subgroup of patients with liver impairment are needed. Especially, due to the late diagnosis and multiple organ dysfunction usually present in patients with liver impairment morbidity and mortality rates remain high. Based on the broad spectrum of diverse reports with varying content and quality and in some cases lack of evidence we performed a systematic review on this topic.
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Affiliation(s)
- Tobias Lahmer
- Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar der Technischen, Universität München, Munich, Germany
| | - Paula M Peçanha-Pietrobom
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Roland M Schmid
- Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar der Technischen, Universität München, Munich, Germany
| | - Arnaldo Lopes Colombo
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
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Thomas-Rüddel D, Schlattmann P, Pletz M, Kurzai O, Bloos F. Risk factors for invasive candida infection in critically ill patients - a systematic review and meta-analysis. Chest 2021; 161:345-355. [PMID: 34673022 PMCID: PMC8941622 DOI: 10.1016/j.chest.2021.08.081] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 08/03/2021] [Accepted: 08/07/2021] [Indexed: 11/28/2022] Open
Abstract
Background Current guidelines recommend empirical antifungal therapy in patients with sepsis with high risk of invasive Candida infection. However, many different risk factors have been derived from multiple studies. These risk factors lack specificity, and broad application would render most ICU patients eligible for empirical antifungal therapy. Research Question What risk factors for invasive Candida infection can be identified by a systematic review and meta-analysis? Study Design and Methods We searched PubMed, Web of Science, ScienceDirect, Biomed Central, and Cochrane and extracted the raw and adjusted OR for each risk factor associated with invasive Candida infection. We calculated pooled ORs for risk factors present in more than one study. Results We included 34 studies in our meta-analysis resulting in the assessment of 29 possible risk factors. Risk factors for invasive Candida infection included demographic factors, comorbid conditions, and medical interventions. Although demographic factors do not play a role for the development of invasive Candida infection, comorbid conditions (eg, HIV, Candida colonization) and medical interventions have a significant impact. The risk factors associated with the highest risk for invasive Candida infection were broad-spectrum antibiotics (OR, 5.6; 95% CI, 3.6-8.8), blood transfusion (OR, 4.9; 95% CI, 1.5-16.3), Candida colonization (OR, 4.7; 95% CI, 1.6-14.3), central venous catheter (OR, 4.7; 95% CI, 2.7-8.1), and total parenteral nutrition (OR, 4.6; 95% CI, 3.3-6.3). However, dependence between the various risk factors is probably high. Interpretation Our systematic review and meta-analysis identified patient- and treatment-related factors that were associated with the risk for the development of invasive Candida infection in the ICU. Most of the factors identified were either related to medical interventions during intensive care or to comorbid conditions.
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Affiliation(s)
- Daniel Thomas-Rüddel
- Center for Sepsis Control & Care, Jena University Hospital, Jena, Germany;; Dept. of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany;.
| | - Peter Schlattmann
- Institut für Medizinische Statistik, Informatik und Datenwissenschaften (IMSID), Jena University Hospital Jena
| | - Mathias Pletz
- Center for Sepsis Control & Care, Jena University Hospital, Jena, Germany;; Institute for Infectious Diseases and Infection Control, Jena University Hospital Jena
| | - Oliver Kurzai
- Center for Sepsis Control & Care, Jena University Hospital, Jena, Germany;; National Reference Center for Invasive Fungal Infections NRZMyk, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knoell-Institute, Jena; University of Wuerzburg, Institute for Hygiene and Microbiology, Germany
| | - Frank Bloos
- Center for Sepsis Control & Care, Jena University Hospital, Jena, Germany;; Dept. of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
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11
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Nakada-Motokawa N, Miyazaki T, Ueda T, Yamagishi Y, Yamada K, Kawamura H, Kakeya H, Mukae H, Mikamo H, Takesue Y, Kohno S. Modified Pitt bacteremia score for predicting mortality in patients with candidaemia: A multicentre seven-year retrospective study conducted in Japan. Mycoses 2021; 64:1498-1507. [PMID: 34655487 PMCID: PMC9297953 DOI: 10.1111/myc.13380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Several severity indexes have been reported for critically ill patients. The Pitt bacteremia score (PBS) is commonly used to predict the risk of mortality in patients with bacteraemia. OBJECTIVES To develop a scoring system for predicting mortality in candidaemia patients. METHODS Medical records at five Japanese tertiary hospitals were reviewed. Factors associated with mortality were analysed using logistic regression modelling. The discriminatory power of scoring models was evaluated by assessing the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS In total, 422 candidaemia patients were included. Higher PBS, dialysis and retainment of central venous catheter were independent risk factors for all-cause 30-day mortality. However, among the five PBS components, fever was not associated with mortality; therefore, we developed a modified version of the PBS (mPBS) by replacing fever with dialysis. AUC for PBS and mPBS were 0.74 (95% confidence interval [CI]: 0.68-0.80) and 0.76 (95% CI: 0.71-0.82), respectively. The increase in predictive ability of mPBS for 30-day mortality was statistically significant as assessed by NRI (0.24, 95% CI: 0.01-0.46, p = .04) and IRI (0.04, 95% CI: 0.02-0.06, p = .0008). When patients were stratified by mPBS into low (scores 0-3), moderate (4-7) and high risk (≥8), there were significant differences among the survival curves (p < .0001, log-rank test), and 30-day mortality rates were 13.8% (40/290), 36.8% (28/76) and 69.4% (34/49), respectively. CONCLUSIONS mPBS can be a useful tool for predicting mortality in candidaemia patients.
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Affiliation(s)
| | - Taiga Miyazaki
- Department of Respiratory Medicine, Nagasaki University, Nagasaki, Japan.,Division of Respirology, Rheumatology, Infectious Diseases, and Neurology, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Takashi Ueda
- Department of Infection Control and Prevention, Hyogo College of Medicine, Nishinomiya, Japan
| | - Yuka Yamagishi
- Department of Clinical Infectious Diseases, Aichi Medical University, Nagakute, Japan
| | - Koichi Yamada
- Department of Infection Control Science, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hideki Kawamura
- Division of Medical and Environmental Safety, Department of Infection Control and Prevention, Kagoshima University Hospital, Kagoshima, Japan
| | - Hiroshi Kakeya
- Department of Infection Control Science, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hiroshi Mukae
- Department of Respiratory Medicine, Nagasaki University, Nagasaki, Japan
| | - Hiroshige Mikamo
- Department of Clinical Infectious Diseases, Aichi Medical University, Nagakute, Japan
| | - Yoshio Takesue
- Department of Infection Control and Prevention, Hyogo College of Medicine, Nishinomiya, Japan
| | - Shigeru Kohno
- Department of Respiratory Medicine, Nagasaki University, Nagasaki, Japan
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12
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Rauseo AM, Aljorayid A, Olsen MA, Larson L, Lipsey KL, Powderly WG, Spec A. Clinical predictive models of invasive Candida infection: a systematic literature review. Med Mycol 2021; 59:1053-1067. [PMID: 34302351 DOI: 10.1093/mmy/myab043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/30/2021] [Accepted: 07/22/2021] [Indexed: 12/23/2022] Open
Abstract
Clinical predictive models (CPM) serve to identify and categorize patients into risk categories to assist in treatment and intervention recommendations. Predictive accuracy and practicality of models varies depending on methods used for their development, and should be evaluated.The aim of this study was to summarize currently available CPM for invasive candidiasis, analyze their performance, and assess their suitability for use in clinical decision making.We identified studies that described the construction of a CPM for invasive candidiasis from PubMed/MEDLINE, EMBASE, SCOPUS, Web of Science, Cochrane Library databases and Clinicaltrials.gov. Data extracted included: author, data source, study design, recruitment period, characteristics of study population, outcome types, predictor types, number of study participants and outcome events, modelling method and list of predictors used in the final model. Calibration and discrimination in the derivative datasets were used to assess the performance of each model.Ten articles were identified in our search and included for full text review. Five models were developed using data from ICUs, and five models included all hospitalized patients. The findings of this review highlight the limitations of currently available models to predict invasive candidiasis, including lack of generalizability, difficulty in everyday clinical use, and overly optimistic performance.There are significant concerns regarding predictive performance and usability in every day practice of existing CPM to predict invasive candidiasis. LAY SUMMARY Clinical predictive models may assist in early identification of patients at risk for invasive candidiasis to initiate appropriate treatment. The findings of this systematic review highlight the limitations of currently available models to predict invasive candidiasis.
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Affiliation(s)
- Adriana M Rauseo
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Abdullah Aljorayid
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.,Department of Medicine, College of Medicine, Qassim University, Buraydah, Saudi Arabia
| | - Margaret A Olsen
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Lindsey Larson
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Kim L Lipsey
- Bernard Becker Medical Library, Washington University School of Medicine, St. Louis, MO, USA
| | - William G Powderly
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrej Spec
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
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13
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Soulountsi V, Schizodimos T, Kotoulas SC. Deciphering the epidemiology of invasive candidiasis in the intensive care unit: is it possible? Infection 2021; 49:1107-1131. [PMID: 34132989 DOI: 10.1007/s15010-021-01640-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 06/08/2021] [Indexed: 12/12/2022]
Abstract
Invasive candidiasis (IC) has emerged in the last decades as an important cause of morbidity, mortality, and economic load in the intensive care unit (ICU). The epidemiology of IC is still a difficult and unsolved enigma for the literature. Accurate estimation of the true burden of IC is difficult due to variation in definitions and limitations inherent to available case-finding methodologies. Candidemia and intra-abdominal candidiasis (IAC) are the two predominant types of IC in ICU. During the last two decades, an increase in the incidence of candidemia has been constantly reported particularly in the expanding populations of elderly or immunosuppressed patents, with a parallel change in Candida species (spp.) distribution worldwide. Epidemiological shift in non-albicans spp. has reached worrisome trends. Recently, a novel, multidrug-resistant Candida spp., Candida auris, has globally emerged as a nosocomial pathogen causing a broad range of healthcare-associated invasive infections. Epidemiological profile of IAC remains imprecise. Though antifungal drugs are available for Candida infections, mortality rates continue to be high, estimated to be up to 50%. Increased use of fluconazole and echinocandins has been associated with the emergence of resistance to these drugs, which affects particularly C. albicans and C. glabrata. Crucial priorities for clinicians are to recognize the epidemiological trends of IC as well as the emergence of resistance to antifungal agents to improve diagnostic techniques and strategies, develop international surveillance networks and antifungal stewardship programmes for a better epidemiological control of IC.
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Affiliation(s)
- Vasiliki Soulountsi
- Department of Intensive Care Medicine, George Papanikolaou General Hospital, Thessaloniki, Greece.
| | - Theodoros Schizodimos
- Department of Intensive Care Medicine, George Papanikolaou General Hospital, Thessaloniki, Greece
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14
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Bassetti M, Azoulay E, Kullberg BJ, Ruhnke M, Shoham S, Vazquez J, Giacobbe DR, Calandra T. EORTC/MSGERC Definitions of Invasive Fungal Diseases: Summary of Activities of the Intensive Care Unit Working Group. Clin Infect Dis 2021; 72:S121-S127. [PMID: 33709127 DOI: 10.1093/cid/ciaa1751] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The EORTC/MSGERC recently revised and updated the consensus definitions of invasive fungal disease (IFD). These definitions primarily focus on patients with cancer and stem cell or solid-organ transplant patients. They may therefore not be suitable for intensive care unit (ICU) patients. More in detail, while the definition of proven IFD applies to a broad range of hosts, the categories of probable and possible IFD were primarily designed for classical immunocompromised hosts and may therefore not be ideal for other populations. Moreover, the scope of the possible category of IFD has been diminished in the recently revised definitions for classically immunocompromised hosts. Diagnosis of IFD in the ICU presents many challenges, which are different for invasive candidiasis and for invasive aspergillosis. The aim of this article is to review progresses made in recent years and difficulties remaining in the development of definitions applicable in the ICU setting.
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Affiliation(s)
- Matteo Bassetti
- Infectious Diseases Unit, Ospedale Policlinico San Martino-IRCCS, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Elie Azoulay
- Medical ICU, APHP, Saint-Louis Hospital, Paris, France.,Université de Paris, Paris, France
| | - Bart-Jan Kullberg
- Department of Medicine and Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Markus Ruhnke
- Division of Hematology, Oncology and Palliative Care, Department of Internal Medicine, Helios Klinikum Aue, Aue, Germany
| | - Shmuel Shoham
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jose Vazquez
- Department of Medicine, Division of Infectious Diseases, Medical College of Georgia/Augusta University, Augusta, Georgia, USA
| | | | - Thierry Calandra
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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15
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Shariati A, Moradabadi A, Chegini Z, Khoshbayan A, Didehdar M. An Overview of the Management of the Most Important Invasive Fungal Infections in Patients with Blood Malignancies. Infect Drug Resist 2020; 13:2329-2354. [PMID: 32765009 PMCID: PMC7369308 DOI: 10.2147/idr.s254478] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 06/26/2020] [Indexed: 12/12/2022] Open
Abstract
In patients with hematologic malignancies due to immune system disorders, especially persistent febrile neutropenia, invasive fungal infections (IFI) occur with high mortality. Aspergillosis, candidiasis, fusariosis, mucormycosis, cryptococcosis and trichosporonosis are the most important infections reported in patients with hematologic malignancies that undergo hematopoietic stem cell transplantation. These infections are caused by opportunistic fungal pathogens that do not cause severe issues in healthy individuals, but in patients with hematologic malignancies lead to disseminated infection with different clinical manifestations. Prophylaxis and creating a safe environment with proper filters and air pressure for patients to avoid contact with the pathogens in the surrounding environment can prevent IFI. Furthermore, due to the absence of specific symptoms in IFI, rapid and accurate diagnosis reduces the mortality rate of these infections and using molecular techniques along with standard mycological methods will improve the diagnosis of disseminated fungal infection in patients with hematologic disorders. Amphotericin B products, extended-spectrum azoles, and echinocandins are the essential drugs to control invasive fungal infections in patients with hematologic malignancies, and according to various conditions of patients, different results of treatment with these drugs have been reported in different studies. On the other hand, drug resistance in recent years has led to therapeutic failures and deaths in patients with blood malignancies, which indicates the need for antifungal susceptibility tests to use appropriate therapies. Life-threatening fungal infections have become more prevalent in patients with hematologic malignancies in recent years due to the emergence of new risk factors, new species, and increased drug resistance. Therefore, in this review, we discuss the different dimensions of the most critical invasive fungal infections in patients with hematologic malignancies and present a list of these infections with different clinical manifestations, treatment, and outcomes.
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Affiliation(s)
- Aref Shariati
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Moradabadi
- Department of Medical Parasitology and Mycology, Arak University of Medical Sciences, Arak, Iran
| | - Zahra Chegini
- Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Amin Khoshbayan
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Mojtaba Didehdar
- Department of Medical Parasitology and Mycology, Arak University of Medical Sciences, Arak, Iran
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16
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Abstract
OBJECTIVE This study aimed to evaluate the duration of intensive care unit (ICU) stay prior to onset of invasive candidiasis (IC)/candidaemia. DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed, Cochrane, Embase and Web of Science databases were searched through June 2019 to identify relevant studies. ELIGIBILITY CRITERIA Adult patients who had been admitted to the ICU and developed an IC infection. DATA EXTRACTION AND SYNTHESIS The following data were extracted from each article: length of hospital stay, length of ICU stay, duration of ICU admission prior to candidaemia onset, percentage of patients who received antibiotics and duration of their antibiotic therapy prior to candidaemia onset, and overall mortality. In addition to the traditional meta-analyses, meta-regression was performed to explore possible mediators which might have contributed to the heterogeneity. RESULTS The mean age of patients ranged from 28 to 76 years across selected studies. The pooled mean duration of ICU admission before onset of candidaemia was 12.9 days (95% CI 11.7 to 14.2). The pooled mean duration of hospital stay was 36.3±5.3 days (95% CI 25.8 to 46.7), and the pooled mean mortality rate was 49.3%±2.2% (95% CI 45.0% to 53.5%). There was no significant difference in duration of hospital stay (p=0.528) or overall mortality (p=0.111), but a significant difference was observed in the mean length of ICU stay (2.8 days, p<0.001), between patients with and without Candida albicans. Meta-regression analysis found that South American patients had longer duration of ICU admission prior to candidaemia onset than patients elsewhere, while those in Asia had the shortest duration. CONCLUSIONS Patients with IC are associated with longer ICU stay, with the shortest duration of ICU admission prior to the candidaemia onset in Asia. This shows a more proactive strategy in the diagnosis of IC should be considered in caring for ICU patients.
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Affiliation(s)
- Zhidan Zhang
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Ran Zhu
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Zhenggang Luan
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Xiaochun Ma
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
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17
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Poissy J, Damonti L, Bignon A, Khanna N, Von Kietzell M, Boggian K, Neofytos D, Vuotto F, Coiteux V, Artru F, Zimmerli S, Pagani JL, Calandra T, Sendid B, Poulain D, van Delden C, Lamoth F, Marchetti O, Bochud PY. Risk factors for candidemia: a prospective matched case-control study. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2020; 24:109. [PMID: 32188500 PMCID: PMC7081522 DOI: 10.1186/s13054-020-2766-1] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/07/2020] [Indexed: 12/29/2022]
Abstract
Background Candidemia is an opportunistic infection associated with high morbidity and mortality in patients hospitalized both inside and outside intensive care units (ICUs). Identification of patients at risk is crucial to ensure prompt antifungal therapy. We sought to assess risk factors for candidemia and death, both outside and inside ICUs. Methods This prospective multicenter matched case-control study involved six teaching hospitals in Switzerland and France. Cases were defined by positive blood cultures for Candida sp. Controls were matched to cases using the following criteria: age, hospitalization ward, hospitalization duration, and, when applicable, type of surgery. One to three controls were enrolled by case. Risk factors were analyzed by univariate and multivariate conditional regression models, as a basis for a new scoring system to predict candidemia. Results One hundred ninety-two candidemic patients and 411 matched controls were included. Forty-four percent of included patients were hospitalized in ICUs, and 56% were hospitalized outside ICUs. Independent risk factors for candidemia in the ICU population included total parenteral nutrition, acute kidney injury, heart disease, prior septic shock, and exposure to aminoglycoside antibiotics. Independent risk factors for candidemia in the non-ICU population included central venous catheter, total parenteral nutrition, and exposure to glycopeptides and nitroimidazoles. The accuracy of the scores based on these risk factors is better in the ICU than in the non-ICU population. Independent risk factors for death in candidemic patients included septic shock, acute kidney injury, and the number of antibiotics to which patients were exposed before candidemia. Discussion While this study shows a role for known and novel risk factors for candidemia, it specifically highlights important differences in their distribution according to the hospital setting (ICU versus non-ICU). Conclusion This study provides novel risk scores for candidemia accounting for the hospital setting and recent progress in patients’ management strategies and fungal epidemiology.
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Affiliation(s)
- Julien Poissy
- Current affiliation : Univ. Lille, Inserm U1285, CHU Lille, Pôle de réanimation, NRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, F-59000, Lille, France.,Inserm, U995-2 "Fungal Associated Invasive and Inflammatory Diseases", F-59000, Lille, France.,Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Lauro Damonti
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Department of Infectious Diseases Department, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anne Bignon
- Surgical Intensive Care Unit, University Hospital of Lille, F-59000, Lille, France
| | - Nina Khanna
- Division of Infectious Diseases and Hospital Epidemiology, University and University Hospital of Basel, Basel, Switzerland
| | - Matthias Von Kietzell
- Infectious Diseases Department, Cantonal Hospital of Saint Gallen, St. Gallen, Switzerland
| | - Katia Boggian
- Infectious Diseases Department, Cantonal Hospital of Saint Gallen, St. Gallen, Switzerland
| | - Dionysios Neofytos
- Transplant Infectious Diseases Unit, University Hospitals of Geneva, Geneva, Switzerland
| | - Fanny Vuotto
- Infectious Diseases Department, University Hospital of Lille, F-59000, Lille, France
| | - Valérie Coiteux
- Hematological Disorders Department, University Hospital and University of Lille, F-59000, Lille, France
| | - Florent Artru
- Digestive Intensive Care Department, University Hospital and University of Lille, F-59000, Lille, France
| | - Stephan Zimmerli
- Department of Infectious Diseases Department, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jean-Luc Pagani
- Adult Intensive Care Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Thierry Calandra
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Boualem Sendid
- Inserm, U995-2 "Fungal Associated Invasive and Inflammatory Diseases", F-59000, Lille, France.,Laboratory of Mycology and Parasitology, Hospital and University of Lille, F-59000, Lille, France
| | - Daniel Poulain
- Inserm, U995-2 "Fungal Associated Invasive and Inflammatory Diseases", F-59000, Lille, France.,Laboratory of Mycology and Parasitology, Hospital and University of Lille, F-59000, Lille, France
| | - Christian van Delden
- Transplant Infectious Diseases Unit, University Hospitals of Geneva, Geneva, Switzerland
| | - Frédéric Lamoth
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Microbiology Institute, Lausanne University Hospital and University of Lausanne, CH-1010, Lausanne, Switzerland
| | - Oscar Marchetti
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Department of Medicine, Ensemble Hospitalier de la Côte, CH-1110, Morges, Switzerland
| | - Pierre-Yves Bochud
- Infectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
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18
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Garcia-Bustos V, Salavert M, Ruiz-Gaitán AC, Cabañero-Navalon MD, Sigona-Giangreco IA, Pemán J. A clinical predictive model of candidaemia by Candida auris in previously colonized critically ill patients. Clin Microbiol Infect 2020; 26:1507-1513. [PMID: 32061792 DOI: 10.1016/j.cmi.2020.02.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 01/12/2020] [Accepted: 02/01/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Candida auris is an emerging multidrug-resistant fungus that has been associated with nosocomial outbreaks with high rates of mortality and transmission. The aim of this study was to perform a retrospective cohort analysis of risk factors and to build a scoring method for estimating the risk of candidaemia in colonized critically ill patients. METHODS We performed a retrospective observational cohort study of patients aged ≥15 years colonized by C. auris in the 3-year period between March 2016 and March 2019. Epidemiological, clinical, laboratory and microbiological data were collected. We developed a predictive model for candidaemia using elastic net multivariable logistic regression techniques, assessed its discriminative capacity, and internally validated it using bootstrap resampling. RESULTS Two-hundred and six patients were enrolled in the cohort for derivation and internal validation. Thirty-seven out of 206 patients developed candidaemia. Total parenteral nutrition was the foremost risk factor (adjusted OR 3.73); previous surgery (adjusted OR 1.03), sepsis (adjusted OR 1.75), previous exposure to antifungal agents (adjusted OR 1.17), arterial catheters (adjusted OR 1.46), central venous catheters (adjusted OR 1.21), presence of advanced chronic kidney disease (adjusted OR 1.35) and multifocal colonization (adjusted OR of unifocal colonization 0.46) were proven to be independent predictors of candidaemia in our cohort. The corresponding area under the curve (AUC) of the elastic net regularized predictive model was 0.89 (95%CI 0.826; 0.951). After performing the internal validation by generating 500 bootstrap replications, the model still showed great accuracy, with a resulting AUC of 0.84. CONCLUSION Our study provides evidence on the independent predisposing factors for candidaemia. It may help predict its estimated risk and may identify a high-risk population that could benefit from early or prophylactic antifungal treatment after external validation in other cohorts.
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Affiliation(s)
- V Garcia-Bustos
- Department of Internal Medicine, University and Polytechnic La Fe Hospital, Valencia, Spain.
| | - M Salavert
- Unit of Infectious Diseases, University and Polytechnic La Fe Hospital, Valencia, Spain
| | - A C Ruiz-Gaitán
- Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain
| | - M D Cabañero-Navalon
- Department of Internal Medicine, University and Polytechnic La Fe Hospital, Valencia, Spain
| | - I A Sigona-Giangreco
- Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain
| | - J Pemán
- Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain
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19
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Cornely OA, Hoenigl M, Lass-Flörl C, Chen SCA, Kontoyiannis DP, Morrissey CO, Thompson GR. Defining breakthrough invasive fungal infection-Position paper of the mycoses study group education and research consortium and the European Confederation of Medical Mycology. Mycoses 2019; 62:716-729. [PMID: 31254420 PMCID: PMC6692208 DOI: 10.1111/myc.12960] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 06/26/2019] [Accepted: 06/27/2019] [Indexed: 12/14/2022]
Abstract
Breakthrough invasive fungal infections (IFIs) have emerged as a significant problem in patients receiving systemic antifungals; however, consensus criteria for defining breakthrough IFI are missing. This position paper establishes broadly applicable definitions of breakthrough IFI for clinical research. Representatives of the Mycoses Study Group Education and Research Consortium (MSG-ERC) and the European Confederation of Medical Mycology (ECMM) reviewed the relevant English literature for definitions applied and published through 2018. A draft proposal for definitions was developed and circulated to all members of the two organisations for comment and suggestions. The authors addressed comments received and circulated the updated document for approval. Breakthrough IFI was defined as any IFI occurring during exposure to an antifungal drug, including fungi outside the spectrum of activity of an antifungal. The time of breakthrough IFI was defined as the first attributable clinical sign or symptom, mycological finding or radiological feature. The period defining breakthrough IFI depends on pharmacokinetic properties and extends at least until one dosing interval after drug discontinuation. Persistent IFI describes IFI that is unchanged/stable since treatment initiation with ongoing need for antifungal therapy. It is distinct from refractory IFI, defined as progression of disease and therefore similar to non-response to treatment. Relapsed IFI occurs after treatment and is caused by the same pathogen at the same site, although dissemination can occur. These proposed definitions are intended to support the design of future clinical trials and epidemiological research in clinical mycology, with the ultimate goal of increasing the comparability of clinical trial results.
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Affiliation(s)
- Oliver A Cornely
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Department I of Internal Medicine, ECMM Center of Excellence for Medical Mycology, German Centre for Infection Research, Partner Site Bonn-Cologne (DZIF), University of Cologne, Cologne, Germany
- Clinical Trials Centre Cologne (ZKS Köln), University of Cologne, Cologne, Germany
| | - Martin Hoenigl
- Division of Infectious Diseases, University of California San Diego, San Diego, CA, USA
- Division of Pulmonology and Section of Infectious Diseases, Medical University of Graz, Graz, Austria
| | - Cornelia Lass-Flörl
- Division of Hygiene and Microbiology, ECMM Excellence Center for Medical Mycology, Medical University Innsbruck, Innsbruck, Austria
| | - Sharon C-A Chen
- Centre for Infectious Diseases and Microbiology, Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Centre for Infectious Diseases and Microbiology, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Dimitrios P Kontoyiannis
- Department of Infectious Diseases, Infection Control, and Employee Health, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - C Orla Morrissey
- Infectious Diseases, Alfred Health and Monash University, Melbourne, VIC, Australia
| | - George R Thompson
- Departments of Medical Microbiology and Immunology and Internal Medicine Division of Infectious Diseases, UC-Davis Medical Center, Sacramento, CA, USA
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Formanek PE, Dilling DF. Advances in the Diagnosis and Management of Invasive Fungal Disease. Chest 2019; 156:834-842. [PMID: 31351046 DOI: 10.1016/j.chest.2019.06.032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 06/30/2019] [Indexed: 02/06/2023] Open
Affiliation(s)
- Perry E Formanek
- Loyola University Chicago, Stritch School of Medicine, Maywood, IL
| | - Daniel F Dilling
- Loyola University Chicago, Stritch School of Medicine, Maywood, IL.
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21
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Keighley C, Chen SCA, Marriott D, Pope A, Chapman B, Kennedy K, Bak N, Underwood N, Wilson HL, McDonald K, Darvall J, Halliday C, Kidd S, Nguyen Q, Hajkowicz K, Sorrell TC, Van Hal S, Slavin MA. Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study. BMC Infect Dis 2019; 19:445. [PMID: 31113382 PMCID: PMC6528341 DOI: 10.1186/s12879-019-4065-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/02/2019] [Indexed: 01/21/2023] Open
Abstract
Background Candidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model. Methods Adults with candidaemia were studied prospectively over 12 months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation. Results The median age of 133 patients with candidaemia was 62 years; 76 (57%) were male and 57 (43%) were female. Co-morbidities included underlying haematologic malignancy (n = 20; 15%), and solid organ malignancy in (n = 25; 19%); 55 (41%) were in an intensive care unit (ICU). Non-albicans Candida spp. accounted for 61% of cases (81/133). All-cause 30-day mortality was 31%. A gastrointestinal or unknown source was associated with higher overall mortality than an intravascular or urologic source (p < 0.01). A risk predictive score based on age > 65 years, ICU admission, chronic organ dysfunction, preceding surgery within 30 days, haematological malignancy, source of candidaemia and antibiotic therapy for ≥10 days stratified patients into < 20% or ≥ 20% predicted mortality. The model retained accuracy when validated against a historical dataset (n = 741). Conclusions Mortality in patients with candidaemia remains high. A simple mortality risk predictive score stratifying patients with candidaemia into < 20% and ≥ 20% 30-day mortality is presented. This model uses information available at time of candidaemia diagnosis is easy to incorporate into decision support systems. Further validation of this model is warranted. Electronic supplementary material The online version of this article (10.1186/s12879-019-4065-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- C Keighley
- Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, Sydney, New South Wales, 2145, Australia. .,Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia. .,Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia.
| | - S C-A Chen
- Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, Sydney, New South Wales, 2145, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia.,Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia
| | - D Marriott
- Department of Microbiology and Infectious Diseases, St. Vincent's Hospital, Sydney, NSW, Australia
| | - A Pope
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.,School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia
| | - B Chapman
- Westmead Institute for Medical Research, Westmead, NSW, Australia
| | - K Kennedy
- Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia
| | - N Bak
- Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - N Underwood
- Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - H L Wilson
- Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia
| | - K McDonald
- Department of Microbiology and Infectious Diseases, St. Vincent's Hospital, Sydney, NSW, Australia
| | - J Darvall
- Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - C Halliday
- Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, Sydney, New South Wales, 2145, Australia
| | - S Kidd
- National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia
| | - Q Nguyen
- National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia
| | - K Hajkowicz
- Department of Infectious Diseases, Royal Brisbane and Women's Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - T C Sorrell
- Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia.,Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia.,Westmead Institute for Medical Research, Westmead, NSW, Australia
| | - S Van Hal
- Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - M A Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia
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Clancy CJ, Nguyen MH. T2 magnetic resonance for the diagnosis of bloodstream infections: charting a path forward. J Antimicrob Chemother 2019; 73:iv2-iv5. [PMID: 29608754 DOI: 10.1093/jac/dky050] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
We discuss four studies in this issue of the Journal of Antimicrobial Chemotherapy that describe experience with T2 magnetic resonance (T2MR) nanodiagnostics for Candida and bacterial bloodstream infections, in the context of the T2MR literature. T2Candida and T2Bacteria panels use a dedicated instrument to detect amplified DNA from microbial cells directly in whole blood. T2Candida gives positive or negative results for C. albicans/C. tropicalis, C. glabrata/C. krusei, and C. parapsilosis. T2Bacteria detects Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Escherichia coli. In recent trials, T2Candida sensitivity and specificity for candidaemia were ∼90% and ∼98%, respectively. Two studies from Spanish hospitals now provide the first data on T2Candida as a prognostic tool. T2Candida was superior to cultures or serum β-d-glucan in identifying patients with complicated candidaemia, and in predicting the outcomes of empirical antifungal therapy for suspected candidiasis. In a retrospective study from US community hospitals, use of T2Candida was reported to reduce times to appropriate antifungal therapy, shorten courses of empirical therapy, and save an average of US$280 in antifungal costs per patient tested. Finally, a study from a hospital in Rome provides the first clinical data for T2Bacteria: sensitivity and specificity were 89% and 98%, respectively, among patients with positive blood cultures for bacteria detected by the panel, or fulfilling criteria for infection. We conclude that T2MR diagnostics are promising both for detecting bloodstream infections due to Candida and bacteria, and for providing prognostic information. More studies that present real-world performance data are needed.
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Affiliation(s)
- Cornelius J Clancy
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Hong Nguyen
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA
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23
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Lamoth F, Lockhart SR, Berkow EL, Calandra T. Changes in the epidemiological landscape of invasive candidiasis. J Antimicrob Chemother 2019; 73:i4-i13. [PMID: 29304207 DOI: 10.1093/jac/dkx444] [Citation(s) in RCA: 305] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The epidemiology of invasive candidiasis has evolved in recent years, warranting a review of the changes and the implications for current and future diagnosis and treatment. The overall burden of invasive candidiasis remains high, particularly in the expanding populations of patients at risk of opportunistic infection, such as the elderly or immunosuppressed. Progressive shifts from Candida albicans to non-albicans Candida spp. have been observed globally. The recent emergence of novel, multiresistant species, such as Candida auris, amplifies the call for vigilance in detection and advances in treatment. Among the current treatment options, fluconazole is still widely used throughout the world. Increased resistance to fluconazole, both acquired and naturally emerging, has been observed. Resistance to echinocandins is presently low but this may change with increased use. Improvement of diagnostic techniques and strategies, development of international surveillance networks and implementation of antifungal stewardship programmes represent major challenges for a better epidemiological control of invasive candidiasis.
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Affiliation(s)
- Frederic Lamoth
- Infectious Diseases Service, Department of Medicine, Lausanne University, Lausanne, Switzerland.,Institute of Microbiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Shawn R Lockhart
- Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Elizabeth L Berkow
- Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Thierry Calandra
- Infectious Diseases Service, Department of Medicine, Lausanne University, Lausanne, Switzerland
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Mantadakis E, Pana ZD, Zaoutis T. Candidemia in children: Epidemiology, prevention and management. Mycoses 2018; 61:614-622. [PMID: 29762868 DOI: 10.1111/myc.12792] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Candidemia is the leading cause of invasive fungal infections in hospitalised children. The highest rates of candidemia have been recorded in neonates and infants <1 year of age. Candidemia is more frequent in neonates and young infants than in adults, and is associated with better clinical outcomes, but higher inpatient costs. Over the last 10 years, a declining trend has been noted in the incidence of paediatric candidemia in the US and elsewhere due to the hospital-wide implementation of central-line insertion and maintenance bundles that emphasise full sterile barrier precautions, chlorhexidine skin preparation during line insertion, meticulous site and tubing care, and daily discussion of catheter necessity. Additional interventions aiming at reducing gut-associated candidemia are required in immunocompromised and critically ill children.
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Affiliation(s)
- Elpis Mantadakis
- Faculty of Medicine, Associate Professor of Pediatrics and Pediatric Hematology/Oncology, Democritus University of Thrace, Alexandroupolis, Greece
| | - Zoe Dorothea Pana
- Department of Pediatrics, Hippokration General Hospital, Thessaloniki, Greece
| | - Theoklis Zaoutis
- Werner and Gertrude Henle Professor of Pediatrics, Professor of Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Chief, Division of Infectious Diseases, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
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25
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Clancy CJ, Nguyen MH. Diagnosing candidemia with the T2Candida panel: an instructive case of septic shock in which blood cultures were negative. Diagn Microbiol Infect Dis 2018; 93:54-57. [PMID: 30316561 DOI: 10.1016/j.diagmicrobio.2018.03.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/25/2018] [Accepted: 03/26/2018] [Indexed: 11/18/2022]
Abstract
T2Candida that was positive for C. albicans/C. tropicalis supported antifungal treatment of a patient with hematogenously disseminated candidiasis and septic shock in whom blood cultures were negative. T2Candida, used and interpreted as a Bayesian biomarker, can identify patients with candidemia who are missed by blood cultures, including those receiving antifungal treatment.
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Affiliation(s)
- Cornelius J Clancy
- University of Pittsburgh, Division of Infectious Diseases, Pittsburgh, PA; VA Pittsburgh Healthcare System, Infectious Diseases Section, Pittsburgh, PA.
| | - M Hong Nguyen
- University of Pittsburgh, Division of Infectious Diseases, Pittsburgh, PA
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26
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PCR-Based Methods for the Diagnosis of Invasive Candidiasis: Are They Ready for Use in the Clinic? CURRENT FUNGAL INFECTION REPORTS 2018. [DOI: 10.1007/s12281-018-0313-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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27
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Clancy CJ, Nguyen MH. Non-Culture Diagnostics for Invasive Candidiasis: Promise and Unintended Consequences. J Fungi (Basel) 2018; 4:jof4010027. [PMID: 29463043 PMCID: PMC5872330 DOI: 10.3390/jof4010027] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 02/15/2018] [Accepted: 02/18/2018] [Indexed: 01/14/2023] Open
Abstract
Blood cultures are positive for Candida species in < 50% and < 20% of hematogenously disseminated and intra-abdominal candidiasis, respectively. Non-culture tests such as mannan, anti-mannan antibody, Candida albicans germ tube antibody (CAGTA), 1,3-β-d-glucan (BDG), the T2Candida nanodiagnostic panel, and polymerase chain reaction (PCR) are available for clinical use, but their roles in patient care are uncertain. Sensitivity/specificity of combined mannan/anti-mannan, BDG, T2Candida and PCR for candidemia are ~80%/80%, ~80%/80%, ~90%/98%, and ~90%/90%, respectively. Limited data for intra-abdominal candidiasis suggest CAGTA, BDG sensitivity/specificity of ~65%/75% and PCR sensitivity of ~85–90%. PCR specificity has varied widely for intra-abdominal candidiasis (33–97%), and T2Candida data are lacking. Tests will be useful if restricted to cases in which positive and negative predictive values (PPVs, NPVs) differ in a clinically meaningful way from the pre-test likelihood of invasive candidiasis. In some patients, PPVs are sufficient to justify antifungal treatment, even if blood cultures are negative. In most patients, NPVs of each test are excellent, which may support decisions to withhold antifungal therapy. If test results are not interpreted judiciously, non-culture diagnostics may have unintended consequences for stewardship and infection prevention programs. In particular, discrepant non-culture test-positive/culture-negative results may promote inappropriate antifungal treatment of patients who are unlikely to have candidiasis, and lead to spurious reporting of hospital-acquired infections. In conclusion, non-culture Candida diagnostics have potential to advance patient care, but this promise will be realized only if users understand tests’ strengths and limitations, and plan proactively for how best to employ them at their hospitals.
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Affiliation(s)
- Cornelius J Clancy
- Division of Infectious Diseases, University of Pittsburgh, Scaife Hall 867, 3550 Terrace St., Pittsburgh, PA 15261, USA.
| | - M Hong Nguyen
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
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Clancy CJ, Pappas PG, Vazquez J, Judson MA, Kontoyiannis DP, Thompson GR, Garey KW, Reboli A, Greenberg RN, Apewokin S, Lyon GM, Ostrosky-Zeichner L, Wu AHB, Tobin E, Nguyen MH, Caliendo AM. Detecting Infections Rapidly and Easily for Candidemia Trial, Part 2 (DIRECT2): A Prospective, Multicenter Study of the T2Candida Panel. Clin Infect Dis 2018; 66:1678-1686. [DOI: 10.1093/cid/cix1095] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 12/20/2017] [Indexed: 12/18/2022] Open
Affiliation(s)
| | | | - Jose Vazquez
- Medical College of Georgia, Augusta University, New York
| | | | | | | | | | - Annette Reboli
- Cooper Medical School of Rowan University and Cooper University Healthcare, Camden, New Jersey
| | | | | | | | | | | | - Ellis Tobin
- St. Peters Healthcare System, Albany, New York
| | - M Hong Nguyen
- University of Pittsburgh Medical Center, Pennsylvania
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Colombo AL, de Almeida Júnior JN, Slavin MA, Chen SCA, Sorrell TC. Candida and invasive mould diseases in non-neutropenic critically ill patients and patients with haematological cancer. THE LANCET. INFECTIOUS DISEASES 2017; 17:e344-e356. [PMID: 28774702 DOI: 10.1016/s1473-3099(17)30304-3] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 01/06/2017] [Accepted: 03/07/2017] [Indexed: 12/11/2022]
Abstract
Critically ill patients and patients with haematological cancer are HIV-negative populations at high risk of invasive fungal infections. In intensive-care units, candidaemia and intra-abdominal candidiasis predominate, but aspergillosis has emerged as a lethal, under-recognised cause of pneumonia. In patients with haematological malignancies or who have undergone stem-cell transplantations, pulmonary disease due to aspergillus and other mould diseases predominate. In this Series paper, we provide an update on risk assessment, new diagnostic strategies, and therapeutic approaches. New concepts have emerged for use of risk prediction rules and an evidence base now exists for inclusion of biomarkers (eg, galactomannan, 1,3-β-D-glucan, and PCR assays for Aspergillus spp) into early diagnostic and therapeutic strategies. Imaging techniques remain helpful for early diagnosis of pulmonary mould diseases, with PET techniques offering potential improvements in diagnostic specificity and evaluation of clinical response. Echinocandins and triazoles have been validated extensively for prophylaxis, empirical therapy, and targeted therapy, but an increase in intrinsically resistant fungi and emergence of secondary resistance as a result of drug-induced selection pressure are of major concern. Echinocandins remain a major component of treatment of invasive candidiasis and new triazoles are the best alternative for prophylaxis and therapy of invasive aspergillosis.
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Affiliation(s)
- A L Colombo
- Department of Medicine, Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
| | - J N de Almeida Júnior
- Central Laboratory Division (LIM03) and Laboratory of Medical Mycology (LIM53), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Monica A Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Center, Melbourne, VIC, Australia; Victorian Infectious Diseases Service, Royal Melbourne Hospital at the Peter Doherty Institute, Melbourne, VIC, Australia
| | - Sharon C-A Chen
- The Center for Infectious Diseases and Microbiology Laboratory Services, ICPMR Pathology West, New South Wales Health Pathology, Westmead and Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Westmead, NSW, Australia
| | - Tania C Sorrell
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney and Westmead Institute for Medical Research, Westmead, NSW, Australia
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