Gemelli decision tree Algorithm to Predict the need for home monitoring or hospitalization of confirmed and unconfirmed COVID-19 patients (GAP-Covid19): preliminary results from a retrospective cohort study.

OBJECTIVE: To develop a deep learning-based decision tree for the primary care setting, to stratify adult patients with confirmed and unconfirmed coronavirus disease 2019 (COVID-19), and to predict the need for hospitalization or home monitoring. PATIENTS AND METHODS: We performed a retrospective cohort study on data from patients admitted to a COVID hospital in Rome, Italy, between 5 March 2020 and 5 June 2020. A confirmed case was defined as a patient with a positive nasopharyngeal RT-PCR test result, while an unconfirmed case had negative results on repeated swabs. Patients' medical history and clinical, laboratory and radiological findings were collected, and the dataset was used to train a predictive model for COVID-19 severity. RESULTS: Data of 198 patients were included in the study. Twenty-eight (14.14%) had mild disease, 62 (31.31%) had moderate disease, 64 (32.32%) had severe disease, and 44 (22.22%) had critical disease. The G2 value assessed the contribution of each collected value to decision tree building. On this basis, SpO2 (%) with a cut point at 92 was chosen for the optimal first split. Therefore, the decision tree was built using values maximizing G2 and LogWorth. After the tree was built, the correspondence between inputs and outcomes was validated. CONCLUSIONS: We developed a machine learning-based tool that is easy to understand and apply. It provides good discrimination in stratifying confirmed and unconfirmed COVID-19 patients with different prognoses in every context. Our tool might allow general practitioners visiting patients at home to decide whether the patient needs to be hospitalized.

The use of two-dimensional NMR relaxometry in bread staling: a valuable tool?

Staling of bread was investigated in terms of physico-chemical parameters and one (1D) and two dimensional (2D) 1H Nuclear Magnetic Resonance (NMR) relaxometry. Physico-chemical properties were consistent with those generally reported for bread staling (crumb moisture loss, decrease in frozen water content, formation of amylopectin crystals, crumb hardening). One dimensional 1H NMR investigation suggested the presence of only one T1 protons population, while T2 was representative of multiple proton populations, that well related to the observed physico-chemical changes. 1H Two dimensional NMR provided an interesting insight of 1H T1 dynamics, as it allowed to discriminate the contribution of five protons pools within the 1H T1 relaxation.

Physico-chemical properties of ready to eat, shelf-stable pasta during storage.

The changes in physico-chemical properties of RTE shelf stable pasta were studied during storage with a multianalytical and multidimensional approach (with special focus on water status) to understand the ageing process in this product. Pasta hardness and amylopectin recrystallisation increased, macroscopic water status indicators and proton molecular translational mobility remained constant, and significant changes were measured in the proton rotational molecular mobility indicators ((1)H FID, (1)H T2) during storage. Since the main changes observed in RTE pasta during storage were similar to those observed in other cereal-based products, it would be interesting to verify the effect of the anti-staling methods commonly used in the cereal processing industry in improving RTE pasta shelf-stability.

Resistance and replicative capacity of HIV-1 strains selected in vivo by long-term enfuvirtide treatment.

Enfuvirtide is the prototype member of a new class of anti HIV-1 agents, the fusion inhibitors (FI). In recent clinical trials, the compound has shown its efficacy in combination with other antiretroviral agents in vivo. However mutant strains resistant to the action of the drug arise quite rapidly in vitro and in vivo. To analyze the process of selection and evolution of HIV-1 strains resistant to enfuvirtide in vivo and to evaluate the impact of resistance on viral fitness, 12 HIV-1 infected subjects treated with T20 (enfuvirtide) for at least one year were included in the study. Gp41-coding sequences were amplified from plasma samples of these subjects at baseline and at different time points during treatment. Seven of the 12 subjects showed selection of gp41 mutations under the selective pressure of enfuvirtide. In particular, these mutations clustered in two distinct regions: (i) a mutational hot-spot localized, as previously described, in the first residues of the N-HR domain, with position number 38 as the most heavily mutated, but including also a G36V, a N42D/T, a N43D, a L44M and a L45M; (ii) other mutations were localized further downstream, within N-HR/C-HR junction and in the C-HR. A recombinant assay specifically designed for the determination of HIV-1 phenotype to FI was developed and validated. Using this assay, we observed that all of the 7 mutated clones displayed substantially reduced susceptibility to T20, IC50 ranging from 0.6 to12.8 microg/ml (>100 fold change). The residues whose mutation was associated with a potent reduction in susceptibility were V38, N42, and N43, other positions such as G36, N44 and L45 playing a minor role. None of the mutant HIV isolates showed cross-resistance to T-1249. By the same method, the HIV-1 replicative capacity of the recombinant clones was tested in the absence of drugs, and for each subject, pre-therapy clones were compared to post-therapy ones. In 3/7 subjects a significant decrease in replicative capacity of the recombinant clones was observed. The phenotypic data from this study suggest that the secondary additional mutations, could be associated with improved resistance or recovery of replicative capacity (compensatory mutations).