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Andrea Spini,1 Luca L’Abbate,2 Ylenia Ingrasciotta,1 Giorgia Pellegrini,1 Massimo Carollo,1 Valentina Ientile,2 Olivia Leoni,3 Martina Zanforlini,4 Domenica Ancona,5 Paolo Stella,5 Anna Cavazzana,6 Angela Scapin,6 Sara Lopes,7 Valeria Belleudi,7 Gianluca Trifirò1 1Department of Diagnostics and Public Health, University of Verona, Verona, Italy; 2Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy; 3Lombardy Regional Centre of Pharmacovigilance and Regional Epidemiologic Observatory, Milan, Italy; 4Azienda Regionale per l’Innovazione e gli Acquisti, S.p.A, Milan, Italy; 5Apulian Regional Health Department, Bari, Italy; 6Azienda Zero, Regione Veneto, Italy; 7Department of Epidemiology, Lazio Regional Health Service, Rome, ItalyCorrespondence: Gianluca Trifirò, Department of Diagnostics and Public Health, University of Verona, P. le L.A. Scuro 10, Verona, 37134, Italy, Tel +39 045 802 7679, Email gianluca.trifiro@univr.itPurpose: This research aimed to develop and validate a META-algorithm combining individual immune-mediated inflammatory disease (IMID)-specific algorithms to identify the exact IMID indications for incident biological drug users from claims data within the context of the Italian VALORE project.Methods and Patients: All subjects with at least one dispensing of TNF-alpha inhibitors, anti-interleukin agents, and selective immunosuppressants approved for IMIDs were identified from claims databases of Latium region in Italy (observation period: 2010– 2020). Validated coding algorithms for identifying individual IMIDs from claims databases were found from published literature and combined into a META-algorithm. Positive predictive value (PPV), sensitivity (Se), negative predictive value (NPV), specificity (Sp), and accuracy (Acc) were estimated for each indication against the electronic therapeutic plans (ETPs) of the Latium region as the reference standard. Lastly, the frequency of the indication of use across individual biologic drugs was compared with that reported in three other Italian regions (Lombardy, Apulia, and the Veneto region).Results: In total, 9755 incident biological drug users with a single IMID indication were identified. Using the newly developed META-algorithm, an indication of use was detected in 95% (n=9255) of the total cohort. The estimated Acc, Se, Sp, PPV, and NPV, against the reference standard were as follows: 0.96, 0.86, 0.97, 0.82, and 0.98 for Crohn’s disease, 0.96, 0.80, 0.98, 0.85, and 0.97 for ulcerative colitis, 0.93, 0.76, 0.99, 0.95, and 0.92 for rheumatoid arthritis, 0.97, 0.75, 0.99, 0.85, and 0.98 for spondylarthritis, and 0.91, 0.92, 0.91, 0.88, and 0.94 for psoriatic arthritis/psoriasis, respectively. Additionally, no substantial difference was observed in the frequency of indication of use by active ingredient among Latium and the other three Italian regions included in the study.Conclusion: The newly developed META-algorithm demonstrated high validity estimates in the Italian claims data and was capable of discriminating with good performance among the most frequent IMID indications.Plain Language Summary: In the claims database, the lack of information on the indication of use represents a well-known limitation for the conduct of observational studies. This study was conducted to develop and validate a META-algorithm that accurately identifies the exact indication for the use of biological drugs in treating various immune-mediated inflammatory diseases. Using claims databases from the Latium region, we developed and validated a META-algorithm. The META-algorithm combines disease-specific algorithms for different immune-mediated inflammatory diseases (ie, Crohn’s disease, ulcerative colitis, rheumatoid arthritis, spondyloarthritis, psoriasis, and psoriatic arthritis) and was tested against a reference standard (electronic therapeutic plans of the Lazio region). The META-algorithm reported high validity estimates and was able to distinguish with a good performance among the most frequent IMIDs as indications for use. Applying this META-algorithm may facilitate post-marketing surveillance of biological drugs such as TNF-alpha inhibitors, anti-interleukin, and selective immunosuppressants in specific therapeutic areas in an Italian setting.Keywords: immune-mediated inflammatory diseases, biological drugs, validation, claims data, META-algorithm, indication for use

Andrea Spini,1 Luca L’Abbate,2 Ylenia Ingrasciotta,1 Giorgia Pellegrini,1 Massimo Carollo,1 Valentina Ientile,2 Olivia Leoni,3 Martina Zanforlini,4 Domenica Ancona,5 Paolo Stella,5 Anna Cavazzana,6 Angela Scapin,6 Sara Lopes,7 Valeria Belleudi,7 Gianluca Trifirò1 1Department of Diagnostics and Public Health, University of Verona, Verona, Italy; 2Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy; 3Lombardy Regional Centre of Pharmacovigilance and Regional Epidemiologic Observatory, Milan, Italy; 4Azienda Regionale per l’Innovazione e gli Acquisti, S.p.A, Milan, Italy; 5Apulian Regional Health Department, Bari, Italy; 6Azienda Zero, Regione Veneto, Italy; 7Department of Epidemiology, Lazio Regional Health Service, Rome, ItalyCorrespondence: Gianluca Trifirò, Department of Diagnostics and Public Health, University of Verona, P. le L.A. Scuro 10, Verona, 37134, Italy, Tel +39 045 802 7679, Email gianluca.trifiro@univr.it

Phenylpropiolic acid (C6H5C≡CCOOH, PPA) isolated in nitrogen and xenon cryogenic matrices was studied by infrared spectroscopy. The experimental studies were complemented by a series of quantum chemical calculations carried out at the density functional theory (B3LYP) and MP2 levels of theory (with different basis sets). The calculations predicted the existence of two planar PPA conformers, differing in the arrangement of the carboxylic group. The higher-energy trans-PPA conformer has a negligible population in the gas phase at room temperature and was prepared in situ in the N2 cryomatrix through vibrationally-induced rotamerization of the lower-energy cis-PPA conformer, achieved using selective narrowband infrared excitation of the OH stretching coordinate of the latter species. Broadband UV (λ > 235 nm) irradiation of matrix-isolated cis-PPA was also undertaken, leading to the observation of cis-PPA → trans-PPA isomerization. No other UV-induced photoreactions were observed. The in situ generated trans-PPA conformer was found to decay back to cis-PPA in the dark by tunneling, and its lifetimes under different experimental conditions were determined. The assignment of the infrared spectra of both conformers is presented, considerably extending the vibrational information available on this molecule. [ABSTRACT FROM AUTHOR]

Recurrence microstates are obtained from the cross recurrence of two sequences of values embedded in a time series, being the generalization of the concept of recurrence of a given state in phase space. The probability of occurrence of each microstate constitutes a recurrence quantifier. The set of probabilities of all microstates are capable of detecting even small changes in the data pattern. This creates an ideal tool for generating features in machine learning algorithms. Thanks to the sensitivity of the set of probabilities of occurrence of microstates, it can be used to feed a deep neural network, namely, a microstate multi-layer perceptron (MMLP) to classify parameters of chaotic systems. Additionally, we show that with more microstates, the accuracy of the MMLP increases, showing that the increasing size and number of microstates insert new and independent information into the analysis. We also explore potential applications of the proposed method when adapted to different contexts. [ABSTRACT FROM AUTHOR]

This article presents new records of bryophyte species in different regions, including Sicily, Argentina, India, Russia, Benin, Iceland, Africa, China, Turkey, Peru, and Brazil. The text provides information about the characteristics, distribution, and where these species were collected. The research was conducted by multiple authors from various institutions and was supported by different funding sources. These new records contribute to our understanding of the distribution and diversity of bryophytes in different regions. [Extracted from the article]