“Usual” interstitial pneumonia with autoimmune features: a prospective study on a cohort of idiopathic pulmonary fibrosis patients

Objective The classification interstitial pneumonia with autoimmune features (IPAF) includes patients with interstitial lung disease (ILD) associated with autoimmune characteristics insufficient to reach classification criteria for a specific autoimmune disease (SAD). These criteria are divided into three domains: clinical, serological and morphological. The latter domain does not include the usual interstitial pneumonia (UIP) pattern, which is deemed not to be significantly associated with SAD. Therefore, the enrolment of these patients is more difficult, requiring at least one item from both of the other domains. The objective of this study is to evaluate the rate of progression towards SAD of a cohort of UIP patients satisfying only one IPAF domain (we called this group “UIPAF”) compared with classic idiopathic pulmonary fibrosis (IPF). Methods We prospectively enrolled IPF patients with radiologic and/or histologic UIP pattern, followed jointly by rheumatologists and pulmonologists from January 2017 to January 2021, with a minimum follow-up of 12 months. Results We enrolled 190 IPF patients, 38 (20%) of whom were classified as UIPAF. IPF and UIPAF patients were similar for general characteristics, severity and prognosis, at presentation and at annual check-up. However, 28.9% of UIPAF patients progressed towards SAD, compared with 2% of IPF patients (χ2=30.4, p≤0.0001). Conclusion The association between a single clinical or serological domain of IPAF and UIP pattern is predictive for the development of a SAD if compared with isolated UIP. ILD can be the first manifestation of SAD, even with a UIP pattern, therefore, the morphological domain of IPAF criteria could be removed

The Model for Early COvid-19 Recognition (MECOR) Score: A Proof-of-Concept for a Simple and Low-Cost Tool to Recognize a Possible Viral Etiology in Community-Acquired Pneumonia Patients during COVID-19 Outbreak

This study aims to assess the peripheral blood cell count “signature” of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) to discriminate promptly between COronaVIrus Disease 19 (COVID-19) and community-acquired pneumonia (CAP). We designed a retrospective case-control study, enrolling 525 patients (283 COVID-19 and 242 with CAP). All patients had a fever and at least one of the following signs: cough, chest pain, or dyspnea. We excluded patients treated with immunosuppressants, steroids, or affected by diseases known to modify blood cell count. COVID-19 patients showed a significant reduction in white blood cells (neutrophils, lymphocytes, monocytes, eosinophils) and platelets. We studied these parameters univariately, combined the significant ones in a multivariate model (AUROC 0.86, Nagelkerke PSEUDO-R2 0.5, Hosmer–Lemeshow p-value 0.9) and examined its discriminative performance in an internally-randomized validation cohort (AUROC 0.84). The cut-off selected according to Youden’s Index (−0.13) showed a sensitivity of 84% and a specificity of 72% in the training cohort, and a sensitivity of 88% and a specificity of 73% in the validation cohort. In addition, we determined the probability of having COVID-19 pneumonia for each Model for possible Early COvid-19 Recognition (MECOR) Score value. In conclusion, our model could provide a simple, rapid, and cheap tool for prompt COVID-19 diagnostic triage in patients with CAP. The actual effectiveness should be evaluated in further, prospective studies also involving COVID-19 patients with negative nasopharyngeal swabs