Pneumocystis jirovecii among patients with cystic fibrosis and their household members

Fungal microbiota dynamics and its geographical, age and gender variability in patients with cystic fibrosis

OBJECTIVES

In cystic fibrosis (CF), there is a predisposition to bronchial colonization by potentially pathogenic microorganisms, such as fungi. Our aims were to describe the dynamics of respiratory mycobiota in patients with CF and to evaluate the geographic, age and gender variability in its distribution.

METHODS

Cohort study in which 45 patients with CF from four hospitals in three Spanish cities were followed up during a 1-year period, obtaining spontaneous sputum samples every 3 to 6 months. Fungal microbiota were characterized by Internal Transcribed Spacer sequencing and Pneumocystis jirovecii was identified by nested PCR in a total of 180 samples.

RESULTS

The presence of fungi were detected in 119 (66.11%) of the 180 samples and in 44 (97.8%) of the 45 patients: 19 were positive and 1 negative throughout all follow-ups and the remaining 25 presented alternation between positive and negative results. A total of 16 different genera were identified, with Candida spp. (50/180, 27.78%) and Pneumocystis spp. (44/180, 24.44%) being the most prevalent ones. The distribution of fungal genera was different among the evaluated centres (p < 0.05), by age (non-adults aged 6-17 years vs. adults aged ≥18 years) (p < 0.05) and by gender (p < 0.05).

DISCUSSION

A high prevalence of fungal respiratory microbiota in patients with CF was observed, whose dynamics are characterized by the existence of multiple cycles of clearance and colonization, reporting the existence of geographic, age and gender variability in the distribution of fungal genera in this disease.

No Change of Pneumocystis jirovecii Pneumonia after the COVID-19 Pandemic: Multicenter Time-Series Analyses

Consolidated infection control measures imposed by the government and hospitals during COVID-19 pandemic resulted in a sharp decline of respiratory viruses. Based on the issue of whether Pneumocystis jirovecii could be transmitted by airborne and acquired from the environment, we assessed changes in P. jirovecii pneumonia (PCP) cases in a hospital setting before and after COVID-19. We retrospectively collected data of PCP-confirmed inpatients aged ≥18 years (N = 2922) in four university-affiliated hospitals between January 2015 and June 2021. The index and intervention dates were defined as the first time of P. jirovecii diagnosis and January 2020, respectively. We predicted PCP cases for post-COVID-19 and obtained the difference (residuals) between forecasted and observed cases using the autoregressive integrated moving average (ARIMA) and the Bayesian structural time-series (BSTS) models. Overall, the average of observed PCP cases per month in each year were 36.1 and 47.3 for pre- and post-COVID-19, respectively. The estimate for residuals in the ARIMA model was not significantly different in the total PCP-confirmed inpatients (7.4%, p = 0.765). The forecasted PCP cases by the BSTS model were not significantly different from the observed cases in the post-COVID-19 (−0.6%, 95% credible interval; −9.6~9.1%, p = 0.450). The unprecedented strict non-pharmacological interventions did not affect PCP cases.