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. 2024 Aug 7:45:101010.
doi: 10.1016/j.lanepe.2024.101010. eCollection 2024 Oct.

Epidemiology and prognostic factors of mucormycosis in France (2012-2022): a cross-sectional study nested in a prospective surveillance programme

Affiliations

Epidemiology and prognostic factors of mucormycosis in France (2012-2022): a cross-sectional study nested in a prospective surveillance programme

Laura Gouzien et al. Lancet Reg Health Eur. .

Abstract

Background: Mucormycosis is a deadly invasive fungal infection recently included in the WHO priority pathogen list. Here we sought to describe epidemiological trends of mucormycosis in France, and to evaluate factors associated with mortality.

Methods: From 2012 to 2022, we implemented a nationwide prospective surveillance programme for mucormycosis in France, focusing on epidemiology, species, seasonal variations. Factors associated with 3-month mortality were studied by univariable and multivariable logistic regression.

Findings: Among 550 cases of mucormycosis, the main underlying conditions were haematological malignancy (HM, 65.1%, 358/550), trauma (8%, 44/550), diabetes (7.5%, 41/550) and solid-organ transplants (6.5%, 36/550). Site of infection was pulmonary in 52.4% (288/550), rhinocerebral in 14.5% (80/550), and cutaneo-articular in 17.1% (94/550). Main species identified were Rhizopus arrhizus (21%, 67/316), Rhizopus microsporus (13.6%, 43/316), Lichtheimia corymbifera and Mucor circinelloides (13.3%, 42/316 each), Rhizomucor pusillus (12%, 38/316), and Lichtheimia ramosa (10.8%, 34/316). We found associations between underlying condition, site of infection, and infecting species, including a previously undescribed triad of trauma, cutaneo-articular localisations, and L. ramosa/M. circinelloides. Diagnostic contribution of Polymerase Chain Reaction (PCR) increased from 16% (4/25) in 2012 to 91% (61/67) in 2022, with more than 50% of diagnoses relying solely on PCR in 2022. We also found seasonal variations with relatively more cases in autumn. Ninety-day mortality was 55.8% (276/495). Independent prognostic factors were age, diagnosis in Intensive Care Unit (ICU), and HM while diagnosis after 2015 (i.e. large implementation of PCR) and surgery were associated with reduced mortality.

Interpretation: This study reveals major mucormycosis epidemiological changes in France, with a large predominance of HM patients, and a parallel between PCR multicentre implementation and improved prognosis. We also evidence new associations between species, localisations and risk factors, as well as seasonal variations.

Funding: Recurrent financial support from Santé Publique France and Institut Pasteur.

Keywords: Epidemiology; Fungal infection; Mucorales; Mucormycosis; Mucormycosis serum PCR; Zygomycosis.

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Conflict of interest statement

SC reports travel grants for congresses for Gilead and Pfizer. GD reports being a speaker for Gilead. LM reports personal travel grants for Gilead and Pfizer. FL reports being a speaker for MSD and F2G board. AA reports educational lecture and travel grant from Gilead. Other authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Mucormycosis cases distribution (n = 550). Legend: Type: cases type, defined as Proven, Probable, or Putative (putative: cases diagnosed with at least one PCR-positive serum or broncho-alveolar lavage (BAL) sample (excluding proven or probable cases)). PCR +: cases with at least one PCR-positive sample; PCR −: cases without any PCR-positive sample.
Fig. 2
Fig. 2
Interplays between species, localization and main underlying disease. a Proportion of species involved according to main underlying disease; b Proportion of species involved according to localization; c Proportion of main underlying disease according to localization; d Proportion of localization according to main underlying disease e. Proportion of main underlying disease according to species; f Proportion of localization according to species.
Fig. 3
Fig. 3
Seasonality of mucormycosis diagnosis. a—Number of cases per month; b—species plotted by month c—localization plotted by month.
Fig. 4
Fig. 4
90 Day survival. a–according before and after 2015, b–according to main underlying disease.
Fig. 5
Fig. 5
Graphical abstract.

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