Serum Aspergillus-specific IgE, IgG and IgG4 immunoglobulins assessment in the work-up of invasive pulmonary aspergillosis: a prospective cohort study.

BACKGROUND: Positive microbiological fungal culture from bronchoalveolar-lavage-fluid (BAL) for Aspergillus or tissue biopsy and the detection of high levels of Aspergillus Galactomannan (GM) are commonly considered standard for diagnosing Invasive Pulmonary Aspergillosis (IPA). However, Aspergillus infection induces both cellular and humoral immune responses, characterized by the production of specific immunoglobulins, which can be easily detected in serum and accurately measured. This study hypothesized that Aspergillus-specific IgE, IgG, including IgG4, assays could be adopted as a rapid preliminary screening tool in patients with suspected Aspergillus-related lung disease in order to help in the identification of patients who require more invasive procedures (bronchoscopy, biopsy). METHODS: We prospectively stored 447 serum specimens of patients admitted for suspected IPA from 1 January 2010 to 31 July 2021. Serum total IgE and serum IgE, IgG and IgG4 specific for Aspergillus fumigatus and Aspergillus niger were determined for each sample. In addition, bronchoscopy with BAL for microbiologic culture and Aspergillus Galactomannan (GM) antigen were performed in all patients. RESULTS: Patients with IPA, diagnosed by detection of a positive BAL culture for Aspergillus and/or a positive GM, showed higher serum levels of specific Aspergillus fumigatus and Aspergillus niger immunoglobulins. Serum-specific Aspergillus fumigatus IgG at a cut-off of 22.6 mgA/L showed the highest sensitivity in predicting IPA, though quite moderate (AUC 0.62). Nonetheless, the simultaneous presence of values below the cut-off of Aspergillus IgE, IgG and IgG4 showed a negative predictive value greater than 90% both towards positive BAL culture and positive GM. CONCLUSIONS: In patients with suspected IPA, Aspergillus-specific immunoglobulins assay could be tested as a preliminary screening tool to support more invasive procedures, i.e. BAL.

Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.

Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effectively curb the spread of the disease. Therefore, the present study was conducted within a controlled clinical environment to determine eventual detectable variations in the voice of COVID-19 patients, recovered and healthy subjects, and also to determine whether machine learning-based voice assessment (MLVA) can accurately discriminate between them, thus potentially serving as a more effective mass-screening tool. Three different subpopulations were consecutively recruited: positive COVID-19 patients, recovered COVID-19 patients and healthy individuals as controls. Positive patients were recruited within 10 days from nasal swab positivity. Recovery from COVID-19 was established clinically, virologically and radiologically. Healthy individuals reported no COVID-19 symptoms and yielded negative results at serological testing. All study participants provided three trials for multiple vocal tasks (sustained vowel phonation, speech, cough). All recordings were initially divided into three different binary classifications with a feature selection, ranking and cross-validated RBF-SVM pipeline. This brough a mean accuracy of 90.24%, a mean sensitivity of 91.15%, a mean specificity of 89.13% and a mean AUC of 0.94 across all tasks and all comparisons, and outlined the sustained vowel as the most effective vocal task for COVID discrimination. Moreover, a three-way classification was carried out on an external test set comprised of 30 subjects, 10 per class, with a mean accuracy of 80% and an accuracy of 100% for the detection of positive subjects. Within this assessment, recovered individuals proved to be the most difficult class to identify, and all the misclassified subjects were declared positive; this might be related to mid and short-term vocal traces of COVID-19, even after the clinical resolution of the infection. In conclusion, MLVA may accurately discriminate between positive COVID-19 patients, recovered COVID-19 patients and healthy individuals. Further studies should test MLVA among larger populations and asymptomatic positive COVID-19 patients to validate this novel screening technology and test its potential application as a potentially more effective surveillance strategy for COVID-19.

Clinical utility of CD4+ function assessment (ViraCor-IBT ImmuKnow test) in lung recipients.

The ImmuKnow assay measures cell-mediated immunity, quantifying ATP production from peripheral blood CD4+T-cells in solid-organ transplant patients who undergo immunosuppressive therapy. We aimed to measure functional immunity in lung transplant recipients and correlate Immuknow values with immunosuppression levels, presence of chronic lung allograft dysfunction (CLAD) and infections. We evaluated 61 lung recipients who underwent follow-up for lung transplantation between 2010 and 2014. Rejection and infection were retrospectively analyzed. The association between over-immunosuppression and a number of predictors was assessed by means of univariate and multivariate logistic regression models. 71 out of 127 samples (56%) showed an over-immunosuppression with an ImmuKnow assay mean level of 112.92ng/ml (SD±58.2), vs. 406.14ng/ml (SD±167.7) of the rest of our cohort. In the over-immunosuppression group we found 51 episodes of infection (71%) (OR 2.754, 95% CI 1.40-5.39; P-value 0.003). In the other group, only 25 samples (44%) were taken during an infectious episode. The mean absolute ATP level was significantly different between patients with or without infection (202.38±139.06ng/ml vs. 315.51±221.60ng/ml; P<0.001). RAS (Restrictive allograft syndrome) was associated to low ImmuKnow level (P<0.001). These results were confirmed by the multivariate analysis. The ImmuKnow assay levels were significantly lower in infected lung transplant recipients compared with non-infected recipients and in RAS patients.

Assessment and management of pulmonary alveolar proteinosis in a reference center.

Pulmonary alveolar proteinosis (PAP) is a term defining an ultra-rare group of disorders characterised by a perturbation in surfactant homeostasis, resulting in its accumulation within airspaces and impaired gas transfer. In this report we provide data from a cohort of PAP patients (n=81) followed for more than two decades at the San Matteo University Hospital of Pavia, Italy. In agreement with other large series in PAP individuals, 90% of the study subjects were affected by autoimmune/idiopathic PAP, while the remaining subjects were divided as follow: congenital 1%, secondary 4% and PAP-like 5%. The disease affected males and females with a ratio of 2:1 and approximately one third of PAP patients were lifelong nonsmokers. Occupational exposure was reported in 35% of subjects in this series. With reference to the PAP clinical course, in 29 patients (7% with spontaneous remission) disease severity did not necessitate whole lung lavage (WLL) in the long-term follow up. On the other hand, 44 PAP patients underwent therapeutic WLL: in 31 subjects a single WLL was sufficient to provide long term, durable benefit, whereas 13 patients required multiple WLLs. The intra-patient mean interval between two consecutive WLLs was 15.7±13.6 months. When baseline data among never lavaged and PAP patients lavaged at least once were compared, the need for lavage was significantly associated with serum biomarkers (CEA, Cyfra, LDH), lung function parameters forced vital capacity (FVC), and lung diffusing capacity (Dlco). We conclude that patient cohorts with an ultra-rare disease, such as PAP, referred to a single reference center, can provide useful information on the natural history and clinical course of the disease.