Soutinho, Gustavo

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Soutinho

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Gustavo

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Gustavo

Biografia

Gustavo Domingos da Costa Coelho Soutinho Docente do Departamento de Ciência e Tecnologia da Universidade Portucalense.

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REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura. Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture. Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations: - the understanding of local, national and international environment; - the development of activities oriented to professional practice, namely in the business world.

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  • PublicaçãoAcesso Restrito
    Development of a predictive score to discriminate community acquired pneumonia with underlying lung cancer: A retrospective case – control study
    2024-05-21 - Barbosa-Martins, João; Mendonça, Joana; Carvalho, Nuno; Carvalho, Carolina; Sarmento, Helena; Soutinho, Gustavo; Coutinho, Camila; Cotter, Jorge
    Background: A pneumonic infiltrate might hide an occult lung cancer (LC). This awareness depends on each clinician personal experience, turning definitive LC diagnosis challenging and possibly delayed. In this study we aimed to develop a clinical score to better identify those cases. Materials and Methods: We conducted a retrospective case–control study, including previously undiagnosed LC patients admitted in our institution, with a presumptive suspicious of community acquired pneumonia (CAP). Cases were compared with random CAP inpatient controls, using a matched 2:1 ratio. Demographic, clinical, and laboratorial variables were assessed for a possible association with the presence of a CAP with underlying LC (CAP–uLC). Results: Among 535 hospitalized LC patients, 43 cases had a presentation compatible with CAP and were compared with 86 CAP controls. A scoring system was built using 6 independent variables, which positively correlated with CAP–uLC: smoking history (OR: 8.3 [1.9–36.2]; p=0.005); absence of fever (6.5 [2.0–21.5]; p=0.002); sputum with blood (5.9 [1.2–29.9]; p=0.033); platelet count ≥ 232x103/uL (5.8 [1.6–20.6]; p=0.006); putative alternative diagnosis than CAP (4.6 [1.5–14.7]; p=0.009); and duration of symptoms ≥ 10 days (3.7 [1.1–13.0]; p=0.037). Our score presented an AUC of 0.910 (95% CI, 0.852–0.967; p<0.001), a sensitivity of 88.1% and specificity of 84.7%, in predicting the risk of presenting a CAP–uLC, when set to a cutoff of 18. ConclusionWe propose a novel risk score aimed to aid clinicians identifying patients with CAP–uLC in the acute setting, possibly prompting early LC diagnosis.