Detecting evidence of invasive fungal infections in cytology and histopathology reports enriched with concept-level annotations.

Invasive fungal infections (IFIs) are particularly dangerous to high-risk patients with haematological malignancies and are responsible for excessive mortality and delays in cancer therapy. Surveillance of IFI in clinical settings offers an opportunity to identify potential risk factors and evaluate new therapeutic strategies. However, manual surveillance is both time- and resource-intensive. As part of a broader project aimed to develop a system for automated IFI surveillance by leveraging electronic medical records, we present our approach to detecting evidence of IFI in the key diagnostic domain of histopathology. Using natural language processing (NLP), we analysed cytology and histopathology reports to identify IFI-positive reports. We compared a conventional bag-of-words classification model to a method that relies on concept-level annotations. Although the investment to prepare data supporting concept annotations is substantial, extracting targeted information specific to IFI as a pre-processing step increased the performance of the classifier from the PR AUC of 0.84 to 0.92 and enabled model interpretability. We have made publicly available the annotated dataset of 283 reports, the Cytology and Histopathology IFI Reports corpus (CHIFIR), to allow the clinical NLP research community to further build on our results.

Immunogenicity of COVID-19 vaccines in patients with hematologic malignancies: a systematic review and meta-analysis.

The objectives of this study were to assess the immunogenicity and safety of COVID-19 vaccines in patients with hematologic malignancies. A systematic review and meta-analysis of clinical studies of immune responses to COVID-19 vaccination stratified by underlying malignancy and published from January 1, 2021, to August 31, 2021, was conducted using MEDLINE, EMBASE, and Cochrane CENTRAL. Primary outcome was the rate of seropositivity after 2 doses of COVID-19 vaccine with rates of seropositivity after 1 dose, rates of positive neutralizing antibodies, cellular responses, and adverse events as secondary outcomes. Rates were pooled from single-arm studies while rates of seropositivity were compared against the rate in healthy controls for comparator studies using a random effects model and expressed as a pooled odds ratios with 95% confidence intervals. Forty-four studies (16 mixed group, 28 disease specific) with 7064 patients were included in the analysis (2331 after first dose, 4733 after second dose). Overall seropositivity rates were 62% to 66% after 2 doses of COVID-19 vaccine and 37% to 51% after 1 dose. The lowest seropositivity rate was 51% in patients with chronic lymphocytic leukemia and was highest in patients with acute leukemia (93%). After 2 doses, neutralizing antibody response rates were 57% to 60%, and cellular response rates were 40% to 75%. Active treatment, ongoing or recent treatment with targeted and CD-20 monoclonal antibody therapies within 12 months were associated with poor immune responses to COVID-19 vaccine. New approaches to prevention are urgently required to reduce COVID-19 infection morbidity and mortality in high-risk patient groups that respond poorly to COVID-19 vaccination.

Antimicrobial Susceptibility Testing for Staphylococcus lugdunensis.

Evaluation of penicillin and oxacillin susceptibility testing was conducted on 200 Staphylococcus lugdunensis isolates. Disc diffusion with penicillin 1 IU (P1, EUCAST) and penicillin 10 IU (P10, CLSI) was compared with nitrocefin discs (Cefinase) and automated broth microdilution (Vitek 2). Oxacillin susceptibility was extrapolated from cefoxitin (FOX; 30 µg) disc diffusion and compared with Vitek 2 results. The reference methods were blaZ and mecA PCR. Penicillin zone diameter and zone edge correlated with blaZ PCR results in all except two P10-susceptible isolates (very major error [VME]) and one P1-resistant isolate (major error [ME]). A total of 148 isolates were blaZ negative, of which 146 and 149 isolates were susceptible by P1 and P10, respectively. A total of 127 were penicillin susceptible by Vitek 2. Vitek 2 overcalled resistance in 21 blaZ-negative, 20 P1-susceptible, and 22 P10-susceptible isolates (Vitek 2 ME rate, 14.2%). Two mecA-positive isolates were oxacillin resistant by FOX disc and Vitek 2 methods (categorical agreement). However, 18 FOX-susceptible mecA-negative isolates tested resistant by Vitek 2. In conclusion, Vitek 2 overestimated penicillin and oxacillin resistance compared with disc diffusion and PCR results. In our study, disc diffusion with zone edge interpretation was more accurate and specific than automated broth microdilution for S. lugdunensis.

Prototheca wickerhamii breast implant infection after reconstructive surgery: a new level of complexity.

We report the first published case of Prototheca wickerhamii breast implant infection. This occurred after mastectomy, chemotherapy, radiotherapy, breast reconstruction, implant revisions and breast seroma aspirations and was preceded by polymicrobial infection. Definitive treatment required implant removal and intravenous liposomal amphotericin B. The management of breast prosthesis infections is discussed.