Predicting COVID 19-Associated Pulmonary Aspergillosis Risk in Low- and Middle-Income Countries: A Matched Case-Control Study.

Predicting COVID 19-Associated Pulmonary Aspergillosis Risk in Low- and Middle-Income Countries: A Matched Case-Control Study.

Publication date: Jul 01, 2024

Coronavirus disease 2019 (COVID-19)-associated pulmonary aspergillosis (CAPA) is a life-threatening fungal infection. Studies focusing on CAPA in low- and middle-income countries are limited. This retrospective matched case-control study was conducted at a tertiary care center in South India. Cases of CAPA were classified using the 2020 European Confederation of Medical Mycology/International Society for Human and Animal Mycology consensus criteria. A total of 95 cases were matched 1:1 with COVID-19 patients without CAPA. Matching was done based on age and period of admission. Inverse probability weighting was used to account for imbalances in COVID-19 severity and intensive care unit (ICU) admission. Data on demographics, clinical details, microbiologic and radiologic data, and treatment outcomes were collected. A predictive score for CAPA was developed from baseline risk factors. The predictive score identified lymphopenia, European Organisation for Research and Treatment of Cancer risk factors, and broad-spectrum antibiotic use as the main risk factors for CAPA. Positivity for bacterial pathogens in blood or bronchoalveolar lavage samples reduced the risk of CAPA. The predictive model performed well in cross-validation, with an area under the curve value of 82%. CAPA diagnosis significantly increased mortality and shift to ICU. The predictive model derived from the current study offers a valuable tool for clinicians, especially in high-endemic low- and middle-income countries, for the early identification and treatment of CAPA. With further validation, this risk score could improve patient outcomes.

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Concepts Keywords
Aspergillosis aspergillosis
Clinicians COVID-19
European galactomannan
Fungal invasive fungal infection
Pulmonary secondary bacterial infections

Semantics

Type Source Name
disease MESH COVID 19
disease MESH Pulmonary Aspergillosis
disease MESH fungal infection
disease MESH lymphopenia
disease MESH Cancer
disease IDO blood
drug DRUGBANK Isoxaflutole
disease MESH Infectious Diseases
disease MESH Infection
disease VO USA
disease MESH aspergillosis
disease MESH invasive fungal infection
disease MESH bacterial infections
drug DRUGBANK Coenzyme M
disease MESH acute respiratory distress syndrome
disease MESH secondary infections
disease MESH critically ill
disease MESH morbidity
disease IDO entity
disease MESH bacterial pneumonia
drug DRUGBANK Nonoxynol-9
disease MESH candidiasis
disease MESH mucormycosis
drug DRUGBANK Dimercaprol
disease IDO assay
disease VO time
disease MESH invasive pulmonary aspergillosis
drug DRUGBANK Hydroxide ion
disease VO protocol
disease IDO history
disease IDO site
disease IDO immunosuppression
disease MESH death
drug DRUGBANK Cysteamine
disease MESH invasive candidiasis
disease MESH neutropenia
disease MESH diabetes mellitus
drug DRUGBANK Baricitinib
drug DRUGBANK Fluconazole
disease IDO disposition
disease VO age

Original Article

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