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EPICO 3.0. Management of non-neutropenic patients in medical wards
Ricardo Ferrer1, Rafael Zaragoza2, Alejandro H Rodríguez3
1Intensive Care Department, Vall d'Hebron University Hospital. Shock, organ dysfunction and Resuscitation Research Group (SODIR), VHIR, Barcelona, Spain.
Background:
Although the management of invasive fungal infection (IFI) has improved, a number of controversies persist regarding the approach to invasive fungal infection in non-neutropenic medical ward patients.
Aims:
To identify the essential clinical knowledge to elaborate a set of recommendations with a high level of consensus necessary for the management of IFI in non-neutropenic medical ward patients.
Methods:
A prospective, Spanish questionnaire, which measures consensus through the Delphi technique, was anonymously answered and e-mailed by 30 multidisciplinary national experts, all specialists (intensivists, anesthesiologists, microbiologists, pharmacologists and specialists in infectious diseases) in IFI and belonging to six scientific national societies. They responded to five questions prepared by the coordination group after a thorough review of the literature published in the last few years. For a category to be selected, the level of agreement among the experts in each category had to be equal to or greater than 70%. In a second round, 73 specialists attended a face-to-face meeting held after extracting the recommendations from the chosen topics, and validated the pre-selected recommendations and derived algorithm.
Results:
The following recommendations were validated and included in the algorithm: 1. several elements were identified as risk factors for invasive candidiasis (IC) in non-hematologic medical patients; 2. no agreement on the use of the colonization index to decide whether prescribing an early antifungal treatment to stable patients (no shock), with sepsis and no other evident focus and IC risk factors; 3. agreement on the use of the Candida Score to decide whether prescribing early antifungal treatment to stable patients (no shock) with sepsis and no other evident focus and IC risk factors; 4. agreement on initiating early antifungal treatment in stable patients (no shock) with a colonization index>0.4, sepsis with no other evident focus and IC risk factors; 5. agreement on the performance of additional procedures in stable patients (no shock) with sepsis and no other evident focus, IC risk factors, without colonization index>0.4, but with a high degree of suspicion.
Conclusions:
Based on the expert's recommendations, an algorithm for the management of non-neutropenic medical patients was constructed and validated. This algorithm may be useful to support bedside prescription.
Insights
This study developed an algorithm for managing invasive fungal infections (IFI) in non-neutropenic medical patients. Experts agreed on using the Candida Score to guide early antifungal treatment decisions.
Area of Science:
- Infectious Diseases
- Critical Care Medicine
- Medical Microbiology
Background:
- Management of invasive fungal infections (IFI) has improved, yet controversies remain for non-neutropenic medical ward patients.
- Identifying optimal strategies for IFI in this specific patient group is crucial.
Purpose of the Study:
- To establish consensus-based recommendations for managing IFI in non-neutropenic medical ward patients.
- To develop a clinical algorithm to support bedside decision-making.
Main Methods:
- A Delphi technique questionnaire was administered to 30 national IFI experts.
- A second round involved 73 specialists validating recommendations and an algorithm.
- Consensus required ≥70% agreement among experts.
Main Results:
- Risk factors for invasive candidiasis (IC) in non-hematologic patients were identified.
- Consensus was reached on using the Candida Score for early antifungal treatment in specific sepsis cases.
- Agreement on initiating early antifungal treatment with a colonization index >0.4 was achieved.
- Guidelines for further procedures in high-suspicion cases were established.
Conclusions:
- A validated algorithm for managing IFI in non-neutropenic medical patients was created.
- The algorithm aims to assist clinicians with timely and appropriate treatment decisions at the bedside.
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