Risk factors in people with mold infections that have spread to different parts of the body: a plain language summary

Autor: Anita H, Sung, Stephan, Martin, Bryant, Phan, Michael, Benigno, Jennifer, Stephens, Jalal A, Aram
Rok vydání: 2022
Předmět:
Zdroj: ClinicoEconomics and Outcomes Research: CEOR
ISSN: 1746-0921
1746-0913
DOI: 10.2217/fmb-2022-0144
Popis: Introduction Diagnosis and treatment of invasive mold infections (IMI) can be challenging and IMI is a significant source of morbidity and mortality. Invasive aspergillosis (IA) and invasive mucormycosis (IM) are two of the most common mold infections. A better understanding of patient comorbidities and risk factors that predispose IMI may help clinicians to refine the difficult diagnostic and treatment process. Methods A systematic literature review (SLR) was conducted (January 2008–October 2019) for studies reporting comorbidities/risk factors of patients with IA or IM (Phase I), followed by an analysis on the Optum® US EHR database of prominent risk factor cohorts based on SLR findings and expert opinion (Phase II). From the four identified patient cohorts: 1) patients undergoing solid organ transplant (SOT) and patients with 2) hematologic cancers, 3) diabetes, or 4) lung disease, rates of IA, IM, or concurrent IA and IM; patient comorbidities; and Charlson Comorbidity Index (CCI) scores were reported. Results The SLR included 88 studies, and 46 were used to select comorbidities/risk factors cohorts in IA and IM patients. The most important comorbidities/risk factors in IA and IM patients were diabetes, lung disease, hematological malignances, and SOT. In the Optum database (N=101,340,454 patients), IA rates were highest in lung transplant (10.81%) patients and IM rates were highest in intestine transplant (0.83%) patients, lung transplant (0.43%), and hematopoietic stem cell transplant (0.49%). CCI scores were elevated in all mold infection groups compared to the total Optum cohort. Conclusion The current study describes patient comorbidity and risk factors associated with IA and IM. These data can be used to refine clinical decision-making regarding when to suspect mold infections. Future research should focus on identifying whether patients respond differently to various antifungal treatments to determine if strategic recommendations should be made for certain patient groups.
Databáze: OpenAIRE
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