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Many challenges lie ahead when dealing with COVID-19, not only related to the acceleration of the pandemic, but also to the prediction of personal protective equipment sets consumption to accommodate the explosive demand. Due to this situation of uncertainty, hospital administration encourages the excess stock of these materials, over-stocking products in some hospitals, and provoking shortages in others. The number of available personal protective equipment sets is one of the three main factors that limit the number of patients at a hospital, as well as the number of available beds and the number of professionals per shift. In this scenario, we developed an easy-to-use expert system to predict the demand for personal protective equipment sets in hospitals during the COVID-19 pandemic, which can be updated in real-time for short term planning. For this system, we propose a naive statistical modeling which combines historical data of the consumption of personal protective equipment sets by hospitals, current protocols for their uses and epidemiological data related to the disease, to build predictive models for the demand for personal protective equipment in Brazilian hospitals during the pandemic. We then embed this modeling in the free Safety-Stock system, which provides useful information for the hospital, especially the safety-stock level and the prediction of consumption/demand for each personal protective equipment set over time. Considering our predictions, a hospital may have its needs related to specific personal protective equipment sets estimated, taking into account its historical stock levels and possible scheduled purchases. The tool allows for adopting strategies to control and keep the stock at safety levels to the demand, mitigating the risk of stock-out. As a direct consequence, it also enables the interchange and cooperation between hospitals, aiming to maximize the availability of equipment during the pandemic., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 Elsevier B.V. All rights reserved.)

Objective and Design: Here, we evaluated the distribution and functional profile of circulating CD27 + and CD27 - γδ T-cell subsets in systemic sclerosis (SSc) patients to assess their potential role in this disorder., Materials and Methods: Peripheral blood from 39 SSc patients and 20 healthy individuals was used in this study. The TCR-γδ repertoire, cytokine production and cytotoxic signatures of circulating γδ T-cell subsets were assessed by flow cytometry. Gene expression of EOMES, NKG2D and GZMA was evaluated by quantitative RT-PCR in both purified γδ T-cell subsets., Results: Absolute numbers of γδ T-cell subsets were significantly decreased in SSc groups, likely reflecting their mobilization to the inflamed skin. Both γδ T-cell subsets preserved their relative proportions and Th1-type cytokine responses. However, cytotoxic properties showed significant disease-associated and subset-specific changes. SSc patients exhibited increased percentages of CD27 + γδ T cells expressing granzyme B or perforin and upregulated GZMA expression in diffuse cutaneous SSc. Conversely, EOMES and NKG2D were downregulated in both SSc γδ T-cell subsets vs. normal controls. Interestingly, patients with pulmonary fibrosis showed a biased TCR repertoire, with a selected expansion of effector Vγ9 + γδ T cells associated with increased frequency of cells expressing granzyme B, but decreased IFN-γ production., Conclusions: Significant alterations on circulating γδ T-cell subsets suggest a deregulated (increased) cytotoxic activity and thus enhanced pathogenic potential of CD27 + γδ T cells in SSc.