open access publication

Article, 2023

Non-Aspergillus Fumigatus Mold Infections (NAFMI) in Lung Transplant (LT) Recipients, Pathogens and Risk Factors

The Journal of Heart and Lung Transplantation, ISSN 1053-2498, 1557-3117, Volume 42, 4, Pages s97-s98, 10.1016/j.healun.2023.02.214

Contributors

Walti, Laura Naëmi 0000-0002-7048-6590 (Corresponding author) [1] Henry, B. [2] Crone, Cornelia Geisler 0000-0001-7436-6695 [3] Cano, A. [4] Kothari, Sagar 0000-0002-2376-2345 [1] Perch, Michael 0000-0001-9740-1246 [3] Cisneros, J. Torres [4] Bennett, D. [5] Aversa, Meghan M 0000-0002-7361-0024 [6] Keshavjee, Shafique H 0000-0003-4547-8094 [1] Martinu, Tereza [1] Husain, Shahid 0000-0002-9216-5229 [1]

Affiliations

  1. [1] University Health Network
  2. [NORA names: Canada; America, North; OECD];
  3. [2] Assistance Publique - Hôpitaux de Paris
  4. [NORA names: France; Europe, EU; OECD];
  5. [3] Rigshospitalet
  6. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Hospital Universitario Reina Sofía
  8. [NORA names: Spain; Europe, EU; OECD];
  9. [5] Siena, Italy
  10. [NORA names: Miscellaneous; Italy; Europe, EU; OECD];

Abstract

Purpose While Aspergillus fumigatus is the most frequent pathogen involved in invasive fungal infections (IFI) post-LT, non-Aspergillus fumigatus mold infections (NAFMI) are emerging. However, little is known about associated fungal pathogens and risk factors. Methods: We performed an international, multicenter 1 :1 Case (NAFMI)-Control (No IFI) study, matching according to center and time post-LT. NAFMI was defined according to the ISHLT criteria for IFI. We assessed fungal pathogens and evaluated risk factors for the occurrence of NAFMI using logistic regression models. Results We included 64 cases of NAFMI. Aspergillus niger and flavus were the most commonly identified pathogens (18/64; 28% and 14/64; 22%), followed by non-Aspergillus Molds (11/64; 17%) and Mucorales (1/64; 2%). Poly fungal infections consistently involved Aspergillus spp. (8/8; 100%) Figure A. Median time to NAFMI was 6 months (IQR 3, 23). In univariable analyses, pre-LT immunosuppression (OR 5.28 p<0.001), pre-LT diabetes (OR 3.75 p=0.028), pre-LT bacterial and fungal colonization (OR 4.29 p=0.001 and OR 6.43 p=0.019), pre-LT ICU stay (OR 5.99 p=0.002), and acute rejection in preceding 3 months (OR 3.07 p=0.021) were associated with NAFMI Table B. However, age, sex, underlying disease, anti-fungal treatment within 3 months pre-LT, as well as steroid dose, neutrophil and lymphocyte count in the month preceding NAFMI were similar between cases and controls. In multivariable analysis, only pre-transplant immunosuppression (OR 3.8 95%CI 1.56-9.20, p=0.003) and ICU stay (OR 3.98 95%CI 1.04-15.24 p=0.043) were independent factors associated with NAFMI. Occurrence of death or chronic lung allograft dysfunction within 12 months after NAFMI were similar in both groups. Conclusion Aspergillus species are predominant in NAFMI in LT recipients. Pre-transplant Immunosuppression and ICU stay were significant risk factors associated with the development of NAFMI.

Keywords

Aspergillus, Aspergillus fumigatus, Aspergillus niger, Aspergillus species, Aspergillus spp, ICU, ICU stay, ISHLT, ISHLT criteria, LT recipients, Mucorales, acute rejection, age, allograft dysfunction, analysis, anti-fungal treatment, cases, center, chronic lung allograft dysfunction, colon, control, count, criteria, death, development, diabetes, disease, dose, dysfunction, evaluate risk factors, factors, flavus, frequent pathogen, fumigatus, fungal colonization, fungal infections, fungal pathogens, group, identified pathogens, immunosuppression, infection, invasive fungal infections, logistic regression models, lung, lung allograft dysfunction, lung transplantation, lymphocyte count, lymphocytes, model, mold, mold infections, months, multivariate analysis, neutrophils, niger, non-Aspergillus, non-Aspergillus molds, occurrence, occurrence of death, pathogens, post-LT, pre-LT, pre-LT diabetes, pre-transplant immunosuppression, recipients, regression models, rejection, risk, risk factors, sex, species, spp, stay, steroid dose, steroids, study, transplantation, treatment, univariate analysis

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