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Background:
Systematic Review

Survival Outcome of Empirical Antifungal Therapy and the Value of Early Initiation: A Review of the Last Decade

1
Division of Infectious Diseases, Department of Internal Medicine, American University of Beirut Medical Center, Riad El Solh, Beirut P.O. Box 11-0236, Lebanon
2
Division of Infectious Diseases, Department of Medicine, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar
3
College of Medicine, Qatar University, Doha P.O. Box 2713, Qatar
4
Division of Infectious Diseases, Department of Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
5
Division of Infectious Disease, Al-Qassimi Hospital, Emirates Health Services, Sharjah 61313, United Arab Emirates
6
Department of Hematology, Stem Cell Transplant & Cellular Therapy, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
7
Department of Oncology, King Faisal Specialist Hospital and Research Center, MBC J-64, Jeddah 21499, Saudi Arabia
8
Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon
9
Department of Critical Care, “EVGENIDIO” Hospital, National and Kapodistrian University of Athens (NKUA), 10679 Athens, Greece
*
Author to whom correspondence should be addressed.
J. Fungi 2022, 8(11), 1146; https://doi.org/10.3390/jof8111146
Submission received: 29 September 2022 / Revised: 17 October 2022 / Accepted: 19 October 2022 / Published: 29 October 2022

Abstract

:
Aim: This rapid systematic review aimed to collect the evidence published over the last decade on the effect of empirical antifungal therapy and its early initiation on survival rates. Methods: A systematic search was conducted in PubMed, Cochrane, Medline, Scopus, and Embase, in addition to a hand search and experts’ suggestions. Results: Fourteen cohort studies and two randomized clinical trials reporting the survival outcome of empirical antifungal therapy were included in this review. Two studies reported the association between early empirical antifungal therapy (EAFT) and survival rates in a hematological cancer setting, and fourteen studies reported the outcome in patients in intensive care units (ICU). Six studies reported that appropriate EAFT decreases hospital mortality significantly; ten studies could not demonstrate a statistically significant association with mortality rates. Discussion: The inconsistency of the results in the literature can be attributed to the studies’ small sample size and their heterogeneity. Many patients who may potentially benefit from such strategies were excluded from these studies. Conclusion: While EAFT is practiced in many settings, current evidence is conflicting, and high-quality studies are needed to demonstrate the true value of this approach. Meanwhile, insights from experts in the field can help guide clinicians to initiate EAFT when indicated.

1. Introduction

Four decades ago, Pizzo et al. first suggested empirical antifungal therapy (EAFT) for cancer patients with granulocytopenia to control occult invasive fungal infections and prevent new ones [1]. The study found that adding amphotericin B to the standard empirical antibacterial agents significantly decreased morbidity and mortality [1]. While the recent progress in diagnostic tools has led some to question the future role of EAFT, recent evidence has shown conflicting results [2]. Moreover, invasive fungal infections (IFIs) continue to be associated with unacceptably high morbidity and mortality rates worldwide [3]. Hence, many clinicians continue to give EAFT in various settings. Nevertheless, the emergence of resistance among Candida and Aspergillus spp. over the years, the cost of the drugs, and the potential side effects of antifungal (AF) agents should be in line with the principles of antimicrobial stewardship.

1.1. Epidemiology

A review of the epidemiology of fungal diseases published five years ago revealed an increasing incidence and mortality rate comparable to that of tuberculosis [3,4]. Invasive candidiasis (IC) is the most prevalent IFI worldwide, followed by invasive aspergillosis (IA) with about 700,000 cases and 250,000 confirmed annual cases, respectively [3,4]. More recently, IA has been increasingly reported in patients with influenza or SARS-CoV-2 infection and Candida auris has newly emerged in many countries worldwide, especially following the COVID-19 pandemic [5]. Despite all the therapeutic advances, the mortality rate among patients with candidemia remains around 25%, and 30 to 80% for patients with IA [6,7]. Globally, an estimated 1.6 million deaths occur annually from IFIs, suggesting that perhaps delays in therapy might play a contributing role and raise the question of whether early empirical therapy may improve patients’ poor outcomes [3].

1.2. Diagnostic Methods

Historically, the definitive diagnosis for IFI relied mainly on histopathological evidence or cultures of sterile sites [8]. Culture (the gold standard for confirming IFI) and microscopy-based diagnoses of IFI have a slow turn-around time, low sensitivity for candidiasis, and specificity for aspergillosis/invasive mold infections [9]. Patients at risk for IFIs are usually already at an increased risk of rapid clinical deterioration and death. Delaying initiation of AF agents until the culture results are available may significantly worsen these patients’ outcomes. Therefore, strategies to improve timely diagnostic confirmation of IFIs should be based on rapid screening tests, including biomarkers and molecular tests, to enable earlier appropriate AF therapy and improve clinical outcomes [7,10]. However, there remain limitations in the sensitivity and specificity of the current diagnostic tests which are not available in many countries, including in centers caring for high-risk patients [11,12,13]. This precludes the timely detection of IFIs in many settings [14]. As a result, many IFIs go unrecognized, and AFT is often not administered promptly [15].
The most used biomarker-based diagnostics include β-d-glucan and galactomannan assays. A systematic review published in 2016 found these biomarkers to have variable sensitivity, specificity, and positive predictive values [11]. The negative predictive value (NPV) for galactomannan assay was found to exceed 70% and reach up to 100% [16]. In intensive care unit (ICU) patients at increased risk for candidiasis, the NPV of both β-d-glucan and polymerase chain reaction (PCR) is high (≥95%) and increases up to >99% in cases of fever or sepsis [14]. Similarly, for aspergillosis, the NPV for PCR in immunocompromised neutropenic patients is high [8]. In settings where these tests are available, they can be of value to guide EAFT. However, their usefulness is still debatable in pediatric patients [17]. Overall, when AFT is indicated, initiating therapy can be guided by clinical suspicion based on the severity of the illness and underlying risk factors.

1.3. Definitions

So far, there is no consensus regarding the terminology of the various systemic antifungal treatment strategies with different guidelines for different settings [18]. For the purpose of this review, AF therapy will be classified into three major categories regardless of the setting and patient population (Figure 1). The first category is prophylaxis which is indicated for patients assumed to be free of but at risk for IFIs (no suggestive symptoms of IFI) [19]. The second is empirical for patients suspected to have IFIs regardless of the spectrum of the agent used or whether there are one or more target pathogens considered in the differential diagnosis [20]. In septic ICU patients on antibacterial agents and in whom candidiasis is suspected, the likelihood of having IFIs can range from 20 to 90%, depending on the patient’s profile [21]. This uncertainty and wide range of probability make the decision to initiate treatment challenging and highlight the importance of timely initiation of EAFT [9]. The third is diagnostic-based therapy which encompasses the diagnostic-driven (in patients having results from biomarker and/or molecular assays suggestive of a higher likelihood of an IFI) and the definitive (in patients with a confirmed IFI as a result of culture, histopathology or microscopic examination) [22,23,24]. Hence, in this review, data from patients with radiological evidence were included, whereas data from patients with any other diagnostic evidence were not considered eligible.

1.4. Purpose

Due to the poor outcomes associated with IFIs, most clinicians prefer to start early EAFT rather than waiting for the diagnosis to be confirmed. Studies have shown that delaying the treatment of candidemia is associated with increased mortality [25]. In addition, a retrospective study showed that inappropriate voriconazole therapy was associated with increased mortality in IA due to resistant Aspergillus spp. [26]. However, there remain uncertainties as to whether early EAFT is the best approach due to the limitations of the current diagnostics and the complexity of creating a high-quality design study with a large homogenous population, which impair the ability to produce statistically significant results. This rapid systematic review aims at analyzing the evidence from the last decade on the outcome of EAFT and the value of early initiation to support the practice and reveal the gaps in the literature.

2. Materials and Methods

The present systematic rapid review conforms to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 recommendations [27].

2.1. Search Databases and Terms

Scopus, Medline (Ovid), PubMed, Embase, and Cochrane Library were searched for randomized controlled trials (RCT) and cohort studies reporting the survival rate among patients administered EAFT. In addition, a hand search was carried out, and experts in the field were contacted for additional article suggestions. Only articles published during the past decade (January 2012 to January 2022) were included. Search terms used were Candidemia, Sepsis, Fungemia, Candidiasis, Antifungal Agents, Azoles, Amphotericin, Echinocandins, and Empirical. Both keywords and MESH terms (index words) were used when available. The search terms and strategies on each database can be found in Appendix A and Appendix B, respectively. Limits did not restrict by language. However, all of the articles that passed the screening were in English.

2.2. Selection Criteria and Screening

Two major inclusion criteria were used during the screening. The first is the original peer-reviewed RCT or cohort. The second is reporting explicitly or implicitly the survival rate of patients on EAFT or reporting on the association between early EAFT administration and the survival rate. Review articles, case reports, letters, and editorials were excluded. Studies that included patients with confirmed diagnosis before treatment initiation or did not report the survival rate of patients who received EAFT neither directly nor indirectly were excluded.
Titles and abstracts screening was carried out by one reviewer using the JBI SUMARI platform. To minimize selection bias at this stage, every RCT or cohort study reporting the outcomes of empirical therapy was included for full-text screening. Two reviewers screened the full text for eligibility. Studies in which the diagnosis was known before administering the antifungal agent were excluded even if the treatment was labeled as empirical. Studies investigating the outcomes of AFT given to symptomatic patients before having diagnostic evidence of IFI were included, irrespective of whether the therapeutic strategy was identified as empirical or not.

2.3. Critical Appraisal and Data Extraction

Included articles were assessed for risk of bias by two reviewers using the Joanna Briggs Institute (JBI) checklists for RCTs and cohort studies (see Appendix C for the checklist questions). Studies with a high risk of bias were not excluded, but their limitations were discussed.
The primary endpoints of the present review are the survival rate in patients who were given EAFT and whether EAFT was independently correlated with the survival rate. In studies in which this outcome was not explicitly stated, a calculation from the given data was made. In studies comparing the outcome of diagnostic-based AF treatment to that of EAFT, both outcomes were extracted and reported in this review. A meta-analysis was not performed because of the heterogeneity of the studies.

3. Results

3.1. Records Screening

Out of 2733 individual records, 49 articles were included at the title and abstract screening, and 46 were retrieved for full-text screening (Figure 2). Out of these, only 14 met the inclusion criteria. Two additional articles were found eligible from the ones identified by hand search. Experts in the field identified four additional articles, all of which were retrieved, and 1 article was added to the final selection. This review reports EAFT survival outcomes from 16 original studies [28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43].

3.2. Risk of Bias Assessment

The appraisal results for the RCTs and Cohort studies are reported in Table 1 and Table 2, respectively. Overall, the quality of the studies was considered acceptable, and no study was excluded at this point. The effect of the follow-up period on the survival rate was found to be significant. In the study carried out by Montravers et al., the survival rate was reported at different points in time, revealing that while the survival rate upon discharge from ICU was 71%, it decreased to 59% when the endpoint was defined as hospital discharge [35]. Therefore, the follow-up duration is reported in Table 2 for better comparison.

3.3. Data Extraction

Among the 16 original studies reported in this review, 2 are RCTs, 13 are retrospective cohort studies, and 1 is a prospective cohort study (Table 3 and Table 4).
In critically ill patients admitted to the ICU, twelve studies from seven countries (France, USA, Japan, Spain, Tunisia, Italy, and Portugal) reported the survival rate for patients administered EAFT. Nine studies did not show a statistically significant association between the administration of EAFT and their respective survival rates, while three retrospective cohorts reported a significant association between survival rate and early EAFT administration. A study by Kollef et al. found that delayed AFT, defined as no antifungal therapy within 24 h of the onset of septic shock, was independently associated with greater odds of in-hospital mortality when compared to earlier EAFT administration and appropriate source control (adjusted odds ratio 33.75; 95% CI: 9.65–118.04, p = 0.005) [33]. Similarly, Tedeschi et al. found that adequate EAFT administered within 72 h from blood drawing is independently associated with a reduced risk of in-hospital mortality (hazard ratio 0.42; 95% CI 0.25–0.69, p = 0.001). Finally, a study by Greenberg et al. on infants found that EAFT was associated with an increased survival rate without neurodevelopmental impairment compared to those not administered EAFT [31].
The two randomized, double-blind, placebo-controlled trials did not demonstrate improved survival with empirical echinocandin therapy in critically ill patients at increased risk of IFI. The study by Timsit et al. included 260 non-neutropenic ICU-acquired sepsis and multiple risk factors and compared the effect of micafungin empirical treatment to placebo [42]. Although the empirical treatment significantly decreased the rate of new fungal infections, it did not increase the survival rate at 28 days. The other RCT studied the effect on mortality as a secondary endpoint using caspofungin for 222 ICU patients.
In the hematological malignancies (HM) setting, only one eligible retrospective cohort study reported the outcomes of patients who received EAFT. A single-center study from the USA that enrolled 146 cancer patients with Candida glabrata candidemia, among which 99 (68%) patients had solid tumors and 47 (32%) had hematological malignancies. Early appropriate AFT, defined as receipt of an in vitro-active antifungal agent within 48 hours of blood culture collection, was independently associated with decreased 28-day all-cause mortality (adjusted HR 0.469, 95% CI 0.237–0.930, p = 0.03), and all-cause in-hospital mortality (adjusted OR 0.31; 95% CI 0.13–0.772, p = 0.011).
Overall, the survival rate in patients who were administered EAFT showed large variability ranging from 50 to 90%. Three studies compared mortality rates in patients administered EAFT to that of patients administered diagnostic-driven AFT. Among these, two studies from Singapore and China found that EAFT is an independent protective factor that decreases hospital mortality; and one study from Pakistan did not show a statistically significant association between EAFT administration and mortality rate compared to diagnostic-driven therapy.

4. Discussion

The present systematic review reported the results of 16 articles investigating the effect of EAFT on the survival of patients with IFIs. Ten studies did not demonstrate a statistically significant association between the administration of EAFT and survival rates, while the other six reported that early EAFT was superior to diagnostic-based treatment. Despite the inconsistent conclusions of the included studies, close inspection of the results reveals a common pattern. In contrast, 8 out of 10 studies found that the administration of EAFT did not increase the survival rate compared to no administration. The two studies that found statistically significant correlations did not include all patients on EAFT but those who were administered EAFT promptly (Table 3).
Whereas the lack of strong evidence on the value of EAFT administration can be explained by the lack of high-quality study designs with a large and homogenous patient population that has enough power to demonstrate significance, the likelihood of finding a statistically significant correlation increases significantly when discussing the value of early initiation as opposed to EAFT administration at any time. This calls for the conduction of additional studies that can confirm that the protective effect of EAFT against mortality rate is contingent upon the timely administration in order to guide the practice accordingly. It is important to note that an additional challenge to generate new data on EAFT is that empirical antifungal therapy is the “standard of care” for patients with granulocytopenia and fever, thus explaining the low number of studies in our review.
Previous systematic reviews investigating the effect of EAFT on patient outcomes also revealed inconsistent results among the studies [18]. The fact that EAFT is usually administered earlier to sicker patients compared to culture-directed therapy undermines the positive effect of early initiation compared to late therapy.
The inconclusiveness of clinical evidence on the value of early initiation of EAFT is due to multiple factors. Despite the valiant efforts, RCTs of empiric AFT have been limited by difficult enrollment, limited positive predictive values of the implemented tools, heterogeneous patient populations, and the possible enrollment of individuals with undetected baseline IFIs [44]. Therefore, the lack of evidence of survival benefits associated with EAFT should not necessarily be interpreted as evidence of lack of benefit. Notably, given the risk of adverse outcomes with delayed AFT in patients with suspected IFIs, current guidelines recommend early empirical antifungal therapy in high-risk patients in hematologic malignancies/HSCT settings as well as in some critically ill patients at high risk for severe disease and complications [45,46,47,48,49,50,51,52]. The heterogeneity of ICU patients and a large number of confounding factors make evidence-based recommendations for EAFT quite challenging.
The truth is that multiple trials, such as the EMPIRICUS trial, do not include patients who could have benefited from early EAFT administration, which underestimates the latter’s value and preclude drawing strong supporting evidence. This fact highlights the importance of using precision medicine when tackling IFIs empirically [53].
Considering the predominance of EAFT in practice, the literature still lacks strong evidence to support the value of such practice. Therefore, better study designs are needed to support, guide, and standardize the practice [54].

5. Strengths and Limitations

In this rapid systematic review, we conducted a comprehensive 10-year literature search, including five databases, a hand search, and experts’ suggestions which minimizes selection bias. The heterogeneity of the studies in terms of design, comparators, and outcome reported did not allow for a statistical synthesis of the results. All studies that report the outcome of interest were included regardless of the appraisal results and the conflict of interest. Finally, only outcomes of interest, namely, the survival rate in patients treated with EAFT, and the association of early initiation with hospital mortality, were extracted from the included studies because other outcomes are beyond the scope of this rapid review.

6. Conclusions

The current practice depends predominantly on EAFT to decrease morbidity and mortality in immunocompromised and critically ill patients. Several studies found that early initiation of EAFT, when indicated, improves patients’ outcome. However, the literature is still lacking strong evidence on the value of this practice. Studies of homogenous patient populations and which use new surrogate endpoints and accurate diagnostic methods are needed to support the current practice and facilitate early initiation of EAFT when indicated. Until further evidence is available, the medical community might benefit largely from global and regional experts’ insights on the indications of early EAFT, the barriers to early initiation and the criteria for drug selection to guide the practice.

Author Contributions

Conceptualization, S.S.K. and G.D. and H.K.; methodology, S.S.K., G.D. and A.S.O.; resources, S.S.K. and A.S.O., Draft preparation and writing, S.S.K. and H.K. All authors contributed to manuscript review and editing of content, visualization, and references. All authors have read and agreed to the published version of the manuscript.

Funding

The writing of this review paper and its APC are funded by Gilead Sciences Middle East. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Institutional Review Board Statement

Not applicable; this review article did not require ethical approval.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Special thanks to CCM group for facilitating the execution of this project.

Conflicts of Interest

Souha S. Kanj: Speaker honorarium and advisory board for Pfizer, MSD, Gilead, Astellas, Menarini. Ali S. Omrani: Honoraria from Gilead, Pfizer, and MSD. Ahmad Subhi: Speaker honorarium and advisory board for Pfizer, MSD, Gilead, Hikma, Abbott, Roche. Riad El Fakih: Consultancy, Advisory Board and Speakers-Bureau honoraria at AZ, Roche, Janssen, Novartis, Biologix, Newbridge, Gilead, BMS, MSD, Abbvie, Kyowa Kirin, Hikma, Pfizer, Sanofi, Servier, Amgen, Takeda. No financial relationships or commercial interest with any of these entities. George Dimopoulos: Speaker honorarium and advisory board for Pfizer, Gilead, 3M, Menarini, InfectoPharm, Biomerieux.

Appendix A. Search Terms

Candidemia: “candidemia” [MeSH Terms] OR “candidemia” [All Fields] OR “candidemias” [All Fields]
Sepsis: “sepsis” [MeSH Terms] OR “sepsis” [All Fields]
fungaemia: “fungaemia” [All Fields] OR “fungemia” [MeSH Terms] OR “fungemia” [All Fields] OR “fungaemias” [All Fields] OR “fungemias” [All Fields]
candidiasis: “candidiasis” [MeSH Terms] OR “candidiasis” [All Fields] OR “candidiases” [All Fields]
Antifungal Agents: “antifungal agents” [Pharmacological Action] OR “antifungal agents” [MeSH Terms] OR (“antifungal” [All Fields] AND “agents” [All Fields]) OR “antifungal agents” [All Fields]
azoles: “azoles” [MeSH Terms] OR “azoles” [All Fields] OR “azole” [All Fields] OR “azolic” [All Fields]
Amphotericin: “amphotericin b” [MeSH Terms] OR “amphotericin b” [All Fields] OR “amphotericin” [All Fields] OR “amphotericine” [All Fields] OR “amphotericins” [All Fields]
echinocandins: “echinocandins” [MeSH Terms] OR “echinocandins” [All Fields] OR “echinocandin” [All Fields]
Empirical: “empiric” [All Fields] OR “empirical” [All Fields] OR “empirically” [All Fields] OR “empirics” [All Fields]

Appendix B. Search Strategies

Figure A1. Search strategy on Ovid MEDLINE(R) and In-Process, In-Data-Review & Other Non-Indexed Citations.
Figure A1. Search strategy on Ovid MEDLINE(R) and In-Process, In-Data-Review & Other Non-Indexed Citations.
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Figure A2. Search strategy on PubMed Central.
Figure A2. Search strategy on PubMed Central.
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Figure A3. Search strategy on Embase (Elsevier).
Figure A3. Search strategy on Embase (Elsevier).
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Figure A4. Search strategy on Cochrane Central Register of Controlled Trials.
Figure A4. Search strategy on Cochrane Central Register of Controlled Trials.
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Figure A5. Search strategy on Scopus (Elsevier).
Figure A5. Search strategy on Scopus (Elsevier).
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Appendix C. Appraisal Tools

Figure A6. JBI Critical Appraisal Tool used for RCTs.
Figure A6. JBI Critical Appraisal Tool used for RCTs.
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Figure A7. JBI Critical Appraisal Tool used for Cohort Studies.
Figure A7. JBI Critical Appraisal Tool used for Cohort Studies.
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References

  1. Pizzo, P.A.; Robichaud, K.; Gill, F.A.; Witebsky, F.G. Empiric antibiotic and antifungal therapy for cancer patients with prolonged fever and granulocytopenia. Am. J. Med. 1982, 72, 101–111. [Google Scholar] [CrossRef]
  2. Donnelly, J.P.; Maertens, J. The end of the road for empirical antifungal treatment? Lancet Infect. Dis. 2013, 13, 470–472. [Google Scholar] [CrossRef]
  3. Bongomin, F.; Gago, S.; Oladele, R.O.; Denning, D.W. Global and Multi-National Prevalence of Fungal Diseases—Estimate Precision. J. Fungi 2017, 3, 57. [Google Scholar] [CrossRef] [PubMed]
  4. Lass-Flörl, C. The changing face of epidemiology of invasive fungal disease in Europe. Mycoses 2009, 52, 197–205. [Google Scholar] [CrossRef]
  5. Allaw, F.; Zahreddine, N.K.; Ibrahim, A.; Tannous, J.; Taleb, H.; Bizri, A.; Dbaibo, G.; Kanj, S. First Candida auris Outbreak during a COVID-19 Pandemic in a Tertiary-Care Center in Lebanon. Pathogens 2021, 10, 157. [Google Scholar] [CrossRef]
  6. Kullberg, B.J.; Arendrup, M.C. Invasive candidiasis. N. Engl. J. Med. 2015, 373, 1445–1456. [Google Scholar] [CrossRef] [Green Version]
  7. Baddley, J.W.; Andes, D.; Marr, K.A.; Kontoyiannis, D.P.; Alexander, B.D.; Kauffman, C.A.; Oster, R.; Anaissie, E.J.; Walsh, T.J.; Schuster, M.G.; et al. Factors Associated with Mortality in Transplant Patients with Invasive Aspergillosis. Clin. Infect. Dis. 2010, 50, 1559–1567. [Google Scholar] [CrossRef]
  8. Jenks, J.D.; Gangneux, J.P.; Schwartz, I.S.; Alastruey-Izquierdo, A.; Lagrou, K.; Thompson Iii, G.R.; Lass-Flörl, C.; Hoenigl, M. European Confederation of Medical Mycology (ECMM) Council Investigators. Diagnosis of breakthrough fungal infections in the clinical mycology laboratory: An ECMM consensus statement. J. Fungi 2020, 6, 216. [Google Scholar] [CrossRef]
  9. Schelenz, S.; Barnes, R.A.; Barton, R.C.; Cleverley, J.R.; Lucas, S.B.; Kibbler, C.C.; Denning, D.W. British Society for Medical Mycology best practice recommendations for the diagnosis of serious fungal diseases. Lancet Infect. Dis. 2015, 15, 461–474. [Google Scholar] [CrossRef]
  10. Morrissey, C.O.; Gilroy, N.M.; Macesic, N.; Walker, P.; Ananda-Rajah, M.; May, M.; Heath, C.H.; Grigg, A.; Bardy, P.G.; Kwan, J.; et al. Consensus guidelines for the use of empiric and diagnostic-driven antifungal treatment strategies in haematological malignancy, 2014. Intern. Med. J. 2014, 44, 1298–1314. [Google Scholar] [CrossRef]
  11. Wingard, J.R.; Leather, H. A new era of antifungal therapy. Biol. Blood Marrow Transplant. 2004, 10, 73–90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Tragiannidis, A.; Kattamis, A.; Vyzantiadis, T.-A. Invasive Fungal Infections in Children with Haematological Malignancies: Diagnostic and Therapeutic Challenges. J. Fungi 2021, 7, 516. [Google Scholar] [CrossRef] [PubMed]
  13. Maertens, J.A.; Nucci, M.; Donnelly, J.P. The role of antifungal treatment in hematology. Haematologica 2012, 97, 325. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Thompson, I.I.I.G.R.; Boulware, D.R.; Bahr, N.C.; Clancy, C.J.; Harrison, T.S.; Kauffman, C.A.; Le, T.; Miceli, M.H.; Mylonakis, E.; Nguyen, M.H.; et al. Noninvasive Testing and Surrogate Markers in Invasive Fungal Diseases. In Open Forum Infectious Diseases; Oxford University Press: New York, NY, USA, 2022; Volume 9, p. ofac112. [Google Scholar]
  15. Terrero-Salcedo, D.; Powers-Fletcher, M.V. Updates in Laboratory Diagnostics for Invasive Fungal Infections. J. Clin. Microbiol. 2020, 58, e01487-19. [Google Scholar] [CrossRef]
  16. Lehrnbecher, T.; Robinson, P.D.; Fisher, B.T.; Castagnola, E.; Groll, A.H.; Steinbach, W.J.; Zaoutis, T.E.; Negeri, Z.; Beyene, J.; Phillips, B.; et al. Galactomannan, β-D-Glucan, and Polymerase Chain Reaction–Based Assays for the Diagnosis of Invasive Fungal Disease in Pediatric Cancer and Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-Analysis. Clin. Infect. Dis. 2016, 63, 1340–1348. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Buchheidt, D.; Reinwald, M.; Spiess, B.; Boch, T.; Hofmann, W.-K.; Groll, A.H.; Lehrnbecher, T.; the Working Group “Infections in Hematology and Oncology”, German Paul-Ehrlich-Society. Biomarker-based diagnostic work-up of invasive pulmonary aspergillosis in immunocompromised paediatric patients—Is Aspergillus pcr appropriate? Mycoses 2015, 59, 67–74. [Google Scholar] [CrossRef]
  18. Slavin, M.A. Introduction to the updated Australian and New Zealand consensus guidelines for the use of antifungal agents in the haematology/oncology setting, 2008. Intern. Med. J. 2008, 38, 457–467. [Google Scholar]
  19. Ericson, J.E.; Kaufman, D.A.; Kicklighter, S.D.; Bhatia, J.; Testoni, D.; Gao, J.; Smith, P.B.; Prather, K.O.; Benjamin, D.K., Jr. Fluconazole Prophylaxis Study Team on behalf of the Best Pharmaceuticals for Children Act–Pediatric Trials Network Steering Committee, MacGilvray S. Fluconazole prophylaxis for the prevention of candidiasis in premature infants: A meta-analysis using patient-level data. Clin. Infect. Dis. 2016, 63, 604–610. [Google Scholar]
  20. Walsh, T.J.; Finberg, R.W.; Arndt, C.; Hiemenz, J.; Schwartz, C.; Bodensteiner, D.; Pappas, P.; Seibel, N.; Greenberg, R.N.; Dummer, S.; et al. Liposomal amphotericin B for empirical therapy in patients with persistent fever and neutropenia. N. Engl. J. Med. 1999, 340, 764–771. [Google Scholar]
  21. Bruyère, R.; Quenot, J.P.; Prin, S.; Dalle, F.; Vigneron, C.; Aho, S.; Leon, C.; Charles, P.E. Empirical antifungal therapy with an echinocandin in critically-ill patients: Prospective evaluation of a pragmatic Candida score-based strategy in one medical ICU. BMC Infect. Dis. 2014, 14, 385. [Google Scholar]
  22. Agrawal, S.; Hope, W.; Sinkó, J.; Kibbler, C. Optimizing management of invasive mould diseases. J. Antimicrob. Chemother. 2010, 66, i45–i53. [Google Scholar] [CrossRef]
  23. Donnelly, J.P.; Chen, S.C.; Kauffman, C.A.; Steinbach, W.J.; Baddley, J.W.; Verweij, P.E.; Clancy, C.J.; Wingard, J.R.; Lockhart, S.R.; Groll, A.H.; et al. Revision and update of the consensus definitions of invasive fungal disease from the European Organization for Research and Treatment of Cancer and the Mycoses Study Group Education and Research Consortium. Clin. Infect. Dis. 2020, 71, 1367–1376. [Google Scholar] [CrossRef] [Green Version]
  24. Bassetti, M.; Azoulay, E.; Kullberg, B.J.; Ruhnke, M.; Shoham, S.; Vazquez, J.; Giacobbe, D.R.; Calandra, T. EORTC/MSGERC definitions of invasive fungal diseases: Summary of activities of the Intensive Care Unit Working Group. Clin. Infect. Dis. 2021, 72 (Suppl. S2), S121–S127. [Google Scholar] [CrossRef] [PubMed]
  25. Morrell, M.; Fraser, V.J.; Kollef, M.H. Delaying the empiric treatment of Candida bloodstream infection until positive blood culture results are obtained: A potential risk factor for hospital mortality. Antimicrob. Agents Chemother. 2005, 49, 3640–3645. [Google Scholar] [CrossRef] [PubMed]
  26. Lestrade, P.P.; Bentvelsen, R.G.; Schauwvlieghe, A.F.; Schalekamp, S.; van der Velden, W.J.; Kuiper, E.J.; van Paassen, J.; van der Hoven, B.; van der Lee, H.A.; Melchers, W.J.; et al. Voriconazole resistance and mortality in invasive aspergillosis: A multicenter retrospective cohort study. Clin. Infect. Dis. 2019, 68, 1463–1471. [Google Scholar] [CrossRef] [Green Version]
  27. Page, M.J.; Moher, D.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 29, 372. [Google Scholar] [CrossRef] [PubMed]
  28. Bailly, S.; Bouadma, L.; Azoulay, E.; Orgeas, M.G.; Adrie, C.; Souweine, B.; Schwebel, C.; Maubon, D.; Hamidfar-Roy, R.; Darmon, M.; et al. Failure of Empirical Systemic Antifungal Therapy in Mechanically Ventilated Critically Ill Patients. Am. J. Respir. Crit. Care Med. 2015, 191, 1139–1146. [Google Scholar] [CrossRef]
  29. Cui, N.; Wang, H.; Su, L.; Qiu, H.; Li, R.; Liu, D.; Team, C.-S. Initial therapeutic strategy of invasive candidiasis for intensive care unit patients: A retrospective analysis from the China-SCAN study. BMC Infect. Dis. 2017, 17, 93. [Google Scholar] [CrossRef] [Green Version]
  30. Farmakiotis, D.; Kyvernitakis, A.; Tarrand, J.; Kontoyiannis, D. Early initiation of appropriate treatment is associated with increased survival in cancer patients with Candida glabrata fungaemia: A potential benefit from infectious disease consultation. Clin. Microbiol. Infect. 2015, 21, 79–86. [Google Scholar] [CrossRef] [Green Version]
  31. Greenberg, R.G.; Benjamin, D.K., Jr.; Gantz, M.G.; Cotten, C.M.; Stoll, B.J.; Walsh, M.C.; Sánchez, P.J.; Shankaran, S.; Das, A.; Higgins, R.D.; et al. Empiric antifungal therapy and outcomes in extremely low birth weight infants with invasive candidiasis. J. Pediatrics 2012, 161, 264–269. [Google Scholar] [CrossRef] [Green Version]
  32. Kato, H.; Yoshimura, Y.; Suido, Y.; Shimizu, H.; Ide, K.; Sugiyama, Y.; Matsuno, K.; Nakajima, H. Mortality and risk factor analysis for Candida blood stream infection: A multicenter study. J. Infect. Chemother. 2019, 25, 341–345. [Google Scholar] [CrossRef]
  33. Kollef, M.H.; Micek, S.T.; Hampton, N.; Doherty, J.A.; Kumar, A. Septic Shock Attributed to Candida Infection: Importance of Empiric Therapy and Source Control. Clin. Infect. Dis. 2012, 54, 1739–1746. [Google Scholar] [CrossRef]
  34. Lee, W.; Liew, Y.; Chlebicki, M.P.; Ong, S.; Lee, P.; Kwa, A. An Observational Study on Early Empiric versus Culture-Directed Antifungal Therapy in Critically Ill with Intra-Abdominal Sepsis. Crit. Care Res. Pract. 2014, 2014, 479413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Montravers, P.; Perrigault, P.; Timsit, J.; Mira, J.; Lortholary, O.; Leroy, O.; Gangneux, J.; Guillemot, D.; Bensoussan, C.; Bailly, S.; et al. Antifungal therapy for patients with proven or suspected Candida peritonitis: Amarcand2, a prospective cohort study in French intensive care units. Clin. Microbiol. Infect. 2016, 23, 117.e1–117.e8. [Google Scholar] [CrossRef] [PubMed]
  36. Ohki, S.; Shime, N.; Kosaka, T.; Fujita, N. Impact of host- and early treatment-related factors on mortality in ICU patients with candidemia: A bicentric retrospective observational study. J. Intensiv. Care 2020, 8, 30. [Google Scholar] [CrossRef] [PubMed]
  37. Ostrosky-Zeichner, L.; Shoham, S.; Vazquez, J.; Reboli, A.; Betts, R.; Barron, M.A.; Schuster, M.; Judson, M.A.; Revankar, S.G.; Caeiro, J.P.; et al. MSG-01: A randomized, double-blind, placebo-controlled trial of caspofungin prophylaxis followed by preemptive therapy for invasive candidiasis in high-risk adults in the critical care setting. Clin. Infect. Dis. 2014, 58, 1219–1226. [Google Scholar] [CrossRef] [Green Version]
  38. Pinto-Magalhães, S.; Martins, A.; Lacerda, S.; Filipe, R.; Prista-Leão, B.; Pinheiro, D.; Silva-Pinto, A.; Santos, L. Candidemia in a Portuguese tertiary care hospital: Analysis of a 2-year period. J. De Mycol. Médicale 2019, 29, 320–324. [Google Scholar] [CrossRef]
  39. Poves-Alvarez, R.; Cano-Hernández, B.; Muñoz-Moreno, M.F.; Balbás-Alvarez, S.; Román-García, P.; Gómez-Sánchez, E.; Martínez-Rafael, B.; Gómez-Pesquera, E.; Lorenzo-López, M.; Alvarez-Fuente, E.; et al. Impact of empirical treatment with antifungal agents on survival of patients with candidemia. Rev. Española Quimioter. 2019, 32, 6. [Google Scholar]
  40. Raza, A.; Zafar, W.; Mahboob, A.; Nizammudin, S.; Rashid, N.; Sultan, F. Clinical features and outcomes of Candidaemia in cancer patients: Results from Pakistan. JPMA—J. Pak. Med. Assoc. 2016, 66, 584–589. [Google Scholar]
  41. Tedeschi, S.; Tumietto, F.; Giannella, M.; Bartoletti, M.; Cristini, F.; Cioni, G.; Ambretti, S.; Carretto, E.; Sambri, V.; Sarti, M.; et al. Epidemiology and outcome of candidemia in internal medicine wards: A regional study in Italy. Eur. J. Intern. Med. 2016, 34, 39–44. [Google Scholar] [CrossRef]
  42. Timsit, J.F.; Azoulay, E.; Schwebel, C.; Charles, P.E.; Cornet, M.; Souweine, B.; Klouche, K.; Jaber, S.; Trouillet, J.L.; Bruneel, F.; et al. Empirical micafungin treatment and survival without invasive fungal infection in adults with ICU-acquired sepsis, Candida colonization, and multiple organ failure: The EMPIRICUS randomized clinical trial. JAMA 2016, 316, 1555–1564. [Google Scholar] [CrossRef]
  43. Trifi, A.; Abdellatif, S.; Daly, F.; Nasri, R.; Touil, Y.; Ben Lakhal, S. Empiric antifungal and outcome in ICU patients. Tunis. Med. 2019, 97, 579–587. [Google Scholar]
  44. Cortegiani, A.; Russotto, V.; Raineri, S.M.; Giarratano, A. The paradox of the evidence about invasive fungal infections prevention. Crit. Care 2016, 20, 114. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Freifeld, A.G.; Bow, E.J.; Sepkowitz, K.A.; Boeckh, M.J.; Ito, J.I.; Mullen, C.A.; Raad, I.I.; Rolston, K.V.; Young, J.A.; Wingard, J.R. Clinical practice guideline for the use of antimicrobial agents in neutropenic patients with cancer: 2010 update by the Infectious Diseases Society of America. Clin. Infect. Dis. 2011, 52, e56–e93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Zimmer, A.; Freifeld, A.G. Optimal Management of Neutropenic Fever in Patients With Cancer. J. Oncol. Pract. 2019, 15, 19–24. [Google Scholar] [CrossRef] [PubMed]
  47. Baden, L.R.; Swaminathan, S.; Angarone, M.; Blouin, G.; Camins, B.C.; Casper, C.; Cooper, B.; Dubberke, E.R.; Engemann, A.M.; Freifeld, A.G.; et al. Prevention and treatment of cancer-related infections, version 2.2016, NCCN clinical practice guidelines in oncology. J. Natl. Compr. Cancer Netw. 2016, 14, 882–913. [Google Scholar] [CrossRef]
  48. Douglas, A.P.; Smibert, O.C.; Bajel, A.; Halliday, C.L.; Lavee, O.; McMullan, B.; Yong, M.K.; van Hal, S.J.; Chen, S.C.; Slavin, M.A.; et al. Consensus guidelines for the diagnosis and management of invasive aspergillosis, 2021. Intern. Med. J. 2021, 51, 143–176. [Google Scholar] [CrossRef] [PubMed]
  49. Klastersky, J.; de Naurois, J.; Rolston, K.; Rapoport, B.; Maschmeyer, G.; Aapro, M.; Herrstedt, J.; on behalf of the ESMO Guidelines Committee. Management of febrile neutropaenia: ESMO Clinical Practice Guidelines. Ann. Oncol. 2016, 27 (Suppl. S5), v111–v118. [Google Scholar] [CrossRef] [PubMed]
  50. Pappas, P.G.; Kauffman, C.A.; Andes, D.R.; Clancy, C.J.; Marr, K.A.; Ostrosky-Zeichner, L.; Reboli, A.C.; Schuster, M.G.; Vazquez, J.A.; Walsh, T.J.; et al. Clinical practice guideline for the management of candidiasis: 2016 update by the Infectious Diseases Society of America. Clin. Infect. Dis. 2016, 62, e1–e50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Patterson, T.F.; Thompson, I.I.I.G.R.; Denning, D.W.; Fishman, J.A.; Hadley, S.; Herbrecht, R.; Kontoyiannis, D.P.; Marr, K.A.; Morrison, V.A.; Nguyen, M.H.; et al. Practice guidelines for the diagnosis and management of aspergillosis: 2016 update by the Infectious Diseases Society of America. Clin. Infect. Dis. 2016, 63, e1–e60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Koehler, P.; Bassetti, M.; Chakrabarti, A.; Chen, S.C.; Colombo, A.L.; Hoenigl, M.; Klimko, N.; Lass-Flörl, C.; Oladele, R.O.; Vinh, D.C.; et al. Defining and managing COVID-19-associated pulmonary aspergillosis: The 2020 ECMM/ISHAM consensus criteria for research and clinical guidance. Lancet Infect. Dis. 2021, 21, e149–e162. [Google Scholar] [CrossRef]
  53. Moghnieh, R.; Kanafani, Z.A.; Kanj, S.S. Antifungal use in intensive care units: Another uncertainty that highlights the need for precision medicine. J. Thorac. Dis. 2016, 8, E1672. [Google Scholar] [CrossRef] [Green Version]
  54. Mercier, T.; Maertens, J. Clinical considerations in the early treatment of invasive mould infections and disease. J. Antimicrob. Chemother. 2017, 72 (Suppl. S1), i29–i38. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Definitions adopted in this review for the classification of antifungal therapy based on the certainty of the diagnosis.
Figure 1. Definitions adopted in this review for the classification of antifungal therapy based on the certainty of the diagnosis.
Jof 08 01146 g001
Figure 2. PRISMA Flow diagram of the search and screening results.
Figure 2. PRISMA Flow diagram of the search and screening results.
Jof 08 01146 g002
Table 1. Randomized controlled trials critical appraisal results.
Table 1. Randomized controlled trials critical appraisal results.
CitationQ1 *Q2Q3Q4Q5Q6Q7Q8Q9Q10Q11Q12Q13
Ostrosky-Zeichner, et al. 2014 [37] YYYYYYYYYYYYY
Timsit, et al. 2016 [42]YYYYYYYYYYYYY
Y yes; U Unclear; N No; N/A Not applicable. * Q1–Q13 correspond to JBI critical appraisal tool for randomized controlled trials (Appendix C).
Table 2. Cohort studies critical appraisal results.
Table 2. Cohort studies critical appraisal results.
CitationQ1 *Q2Q3Q4Q5Q6Q7F/U 1 Q9Q10Q11
Bailly, et al. 2015 [28]NN/AYYYYY30YYY
Kato, et al. 2019 [32]UN/AYYYYY30YYY
Kollef, et al. 2012 [33]UN/AYYYYYTD/DYYY
Ohki, et al. 2020 [36]YN/AYYYYY30YYY
Poves-Alvarez, et al. 2019 [39]NN/AYYYYY30YYY
Trifi, et al. 2019 [43]YN/AYYYYY28YYY
Tedeschi, et al. 2016 [41]NN/AYYYYYTD/DUYY
Greenberg, et al. 2012 [31]YN/AYYYYYTD/DUUY
Pinto-Magalhaes, et al. 2019 [38]UN/AYYYYY30YYY
Montravers, et al. 2017 [35]NN/AYYYYY28YNY
Farmakiotis, et al. 2015 [30]NN/AYYYYY28YYY
Lee, et al. 2014 [34]UN/AYYYYY30YYY
Cui, et al. 2017 [29]YN/AYYYYYTD/DUUY
Raza, et al. 2016 [40]UN/AYYYYYTD/DN/AN/AY
Abbreviations: Y yes; U Unclear; N No; N/A Not applicable; TD/D Till discharge from hospital /death. 1 Follow-up time in days. * Q1–Q11 correspond to JBI critical appraisal tool for cohort studies (Appendix C).
Table 3. Characteristics of the Studies reporting the survival rate of patients administered EAFT and their main results.
Table 3. Characteristics of the Studies reporting the survival rate of patients administered EAFT and their main results.
StudyCountry
Study Design
Participant CharacteristicsSurvival Rate (n 1)Description of Main Results
Bailly et al., 2015 [28]France,
Retrospective cohort
Non-neutropenic, nontransplant recipients, ICU, intubated for ≥5 days 70%
(n = 100)
EAFT did not significantly reduce mortality in critically ill and mechanically ventilated patients
Ostrosky-Zeichner et al., 2014 [37]USA,
double-blind RCT
Adults in ICU ≥ 3 days, ventilated, received antibiotics, had a central line, and 1 additional risk factor 283%
(n = 102)
Difference in mortality rate between caspofungin and placebo (20.5% vs. 15.7%) was not statistically significant (p = 0.39)
Timsit et al., 2016 [42]France,
double-blind RCT (EMPIRICUS)
Non-neutropenic, non-transplanted, critically ill patients with ICU-acquired sepsis, multiple Candida colonization, multiple organ failure, exposed to broad-spectrum AB agents70.3%
(n = 128)
The use of empirical micafungin in ICU settings did not decrease the mortality rate compared to placebo
Kato et al., 2019 [32]Japan,
retrospective cohort
Adults with blood culture yielded at least one Candida species73.5%
(n = 260)
Empiric treatment with fluconazole is significantly associated with 30-day mortality
aOR= 0.32 95%CI 0.12–0.88 p = 0.026
Ohki et al., 2020 [36]Japan,
retrospective cohort
Adults in ICU with candidemia and central venous catheter in situ at the time of onset(n = 62)EAFT conferred no significant clinical benefit on survival
Poves-Alvarez et al., 2019 [39]Spain,
retrospective study
Non-neutropenic adults diagnosed with candidemia.50%
(n = 90)
Receiving EAFT did not result in a significant difference in the 30-day survival rate compared to no treatment.
Trifi et al., 2019 [43]Tunisia,
retrospective cohort
ICU non-neutropenic septic critically ill patients without proven fungal infection64%
(n = 45)
No significant beneficial impact of EAFT on 28- day survival as compared to non-EAFT (64 vs. 60%)
Tedeschi et al., 2016 [41]Italy,
retrospective cohort
Patients with candidemia in Internal Medicine Wards64.46% (n = 166)Adequate and timely 3 EAFT is an independent protective factor against in-hospital mortality (HR 0.42, 95%CI 0.25–0.69, p = 0.001)
Greenberg, 2012 [31]USA,
cohort study
Infants with birth weight >1 Kg and ≥1 positive culture for Candida50%
(n = 38)
EAFT was associated with increased survival without NDI
Montravers et al., 2017 [35]France,
prospective cohort
Patients in ICU treated for Candida peritonitis 69%
(n = 204)
Survival at 28 days was not associated with empirical treatment
Abbreviations: AOR adjusted odds ratio; HR hazard ratio; NDI Neurodevelopmental impairment; EAFT Early empiric antifungal therapy. AB antibacterial. RCT randomized control trial, USA, United States of America. 1 n = Total number of patients administered EAFT among those included in the study. 2 Parenteral nutrition, dialysis, surgery, pancreatitis, systemic steroids, or other immunosuppressants. 3 Timely: within 72 h from the blood draw.
Table 4. Studies comparing the outcome of empirical and diagnostic-based treatment, or early versus late EAFT administration.
Table 4. Studies comparing the outcome of empirical and diagnostic-based treatment, or early versus late EAFT administration.
StudyCountry
Study Design
Participants CharacteristicsSurvival Rate (%) 1Description of Main Results
Early EAFT Late
Lee et al., 2014 [34]Singapore,
prospective cohort
Adults in SICU s/p surgery 280%
N = 30
50%
N = 18
EAFT group were 4 times less likely to experience 30-day all-cause mortality than culture-directed (OR: 0.25, 95% CI: 0.069 to 0.905; p = 0.03)
Cui et al., 2017 [29]China,
retrospective cohort
Adult patients with proven ICI69.7%
N = 142
60.3%
N = 73
EAFT was an independent predictor for DECREASING hospital mortality (OR 0.327, CI [0.160–0.667], p = 0.002
Raza et al., 2016 [40]Pakistan,
retrospective cohort
cancer patients with positive blood culture for CandidaN = 63N = 165Receipt of antifungal agents on an empirical basis was not significantly associated with mortality. AOR = 0.44 CI 0.18–1.12
Farmakiotis et al., 2015 [30]USA,
retrospective cohort
Cancer patients with candidemia Candida glabrataN = 48N = 98Early appropriate AFT was independently associated with decreased 28-day mortality and in-hospital mortality (adjusted odds ratio 0.31, p 0.011). HR 0.374, 95% CI 0.197–0.709 (p = 0.003) 3. HR 0.357, 95% CI 0.178–0.718 (p = 0.004) 4
Kollef et al., 2012 [33]USA,
retrospective cohort
Hospitalized patients with septic shock and positive blood culture for Candida species47.2% N = 1422.4%
N = 82
Delayed AFT is independently associated with a greater risk of hospital mortality 5.
AOR 33.75; CI: 9.65–118.04 p= 0.005
Kato et al., 2019 [32]Japan,
retrospective cohort
Adults with blood culture yielded at least one Candida species66%61%
N = 164
Earlier administration of appropriate AF therapy (within 48 h) might improve survival in ICU patients with candidemia, but the difference was not statistically significant
Pinto Magalhães 2019 [38]Portugal,
retrospective cohort
Adults with ≥1 positive culture for Candida species72%61.9%
(Without AFT)
30 days-mortality rate is not significantly associated with the time between blood culture collection and the start of antifungal therapy
Abbreviations: ICIs Invasive Candida infections; AOR adjusted odds ratio. CI confidence interval. Note: 1 N = TOTAL sample size in each arm. 2 Surgery for gastrointestinal perforation, bowel obstruction or ischemia, malignancy, and anastomotic Leakages; SIRS despite AB. 3 After the removal of ID consultation from the model. 4 After excluding patients who died within 48 h after blood culture collection. 5 Delayed antifungal treatment (received no antifungal therapy within 24 h of the onset of shock).
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Kanj, S.S.; Omrani, A.S.; Al-Abdely, H.M.; Subhi, A.; Fakih, R.E.; Abosoudah, I.; Kanj, H.; Dimopoulos, G. Survival Outcome of Empirical Antifungal Therapy and the Value of Early Initiation: A Review of the Last Decade. J. Fungi 2022, 8, 1146. https://doi.org/10.3390/jof8111146

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Kanj SS, Omrani AS, Al-Abdely HM, Subhi A, Fakih RE, Abosoudah I, Kanj H, Dimopoulos G. Survival Outcome of Empirical Antifungal Therapy and the Value of Early Initiation: A Review of the Last Decade. Journal of Fungi. 2022; 8(11):1146. https://doi.org/10.3390/jof8111146

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Kanj, Souha S., Ali S. Omrani, Hail M. Al-Abdely, Ahmad Subhi, Riad El Fakih, Ibraheem Abosoudah, Hazar Kanj, and George Dimopoulos. 2022. "Survival Outcome of Empirical Antifungal Therapy and the Value of Early Initiation: A Review of the Last Decade" Journal of Fungi 8, no. 11: 1146. https://doi.org/10.3390/jof8111146

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