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» Authors » Juliana Machado Rugolo

Juliana Machado Rugolo

Explore the profile of Juliana Machado Rugolo including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 8
Followers 0
Related Specialties
General Medicine
Geriatrics
Science
Top 10 Co-Authors
Joice Coutinho de Alvarenga
Christiane Correa Rodrigues Cimini
Karen Brasil Ruschel
Daniela Ponce
Marcelo Carneiro
Fernando Anschau
Milena Soriano Marcolino
Neimy Ramos de Oliveira
Jose Miguel Chatkin
Heloisa Reniers Vianna
Published In
Rev Soc Bras Med Trop
Front Med (Lausanne)
Intern Emerg Med
BMC Geriatr
Sci Rep
Affiliations
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Recent Articles
1.
Custo Direto do Tratamento do Acidente Vascular Cerebral Isquêmico na Perspectiva de um Hospital Público Terciário (Direct Cost of Treating Ischemic Stroke From the Perspective of a Tertiary Public Hospital)
de Almeida J, Bazan R, Nascimento Silva S, Silva L, Rugolo J, de Sordi M, et al.
Value Health Reg Issues . 2024 Jun; 44:101019. PMID: 38924820
Objectives: To measure the direct cost of treating acute ischemic stroke (IS) from the perspective of a public hospital in Brazil (HCFMB) and compare it with the reimbursement by the...
2.
Clinical characteristics and outcomes of COVID-19 patients with preexisting dementia: a large multicenter propensity-matched Brazilian cohort study
Bicalho M, Aliberti M, Delfino-Pereira P, Chagas V, Rosa P, Pires M, et al.
BMC Geriatr . 2024 Jan; 24(1):25. PMID: 38182982
Background: Although dementia has emerged as an important risk factor for severe SARS-CoV-2 infection, results on COVID-19-related complications and mortality are not consistent. We examined the clinical presentations and outcomes...
3.
Assessment of the ABC-SPH risk score to predict invasive mechanical ventilation in COVID-19 patients and comparison to other scores
Cimini C, Delfino-Pereira P, Pires M, Ramos L, Dos Reis Gomes A, Jorge A, et al.
Front Med (Lausanne) . 2023 Dec; 10:1259055. PMID: 38046414
Background: Predicting the need for invasive mechanical ventilation (IMV) is important for the allocation of human and technological resources, improvement of surveillance, and use of effective therapeutic measures. This study...
4.
Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset
de Paiva B, Pereira P, de Andrade C, Gomes V, Souza-Silva M, Martins K, et al.
Sci Rep . 2023 Mar; 13(1):3463. PMID: 36859446
The majority of early prediction scores and methods to predict COVID-19 mortality are bound by methodological flaws and technological limitations (e.g., the use of a single prediction model). Our aim...
5.
Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry
Souza-Silva M, Ziegelmann P, Nobre V, Gomes V, Beck da Silva Etges A, Schwarzbold A, et al.
Intern Emerg Med . 2022 Sep; 17(8):2299-2313. PMID: 36153772
The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study...
6.
COVID-19: What we talk about when we talk about masks
Fortaleza C, de Souza L, Rugolo J, Fortaleza C
Rev Soc Bras Med Trop . 2020 Nov; 53:e20200527. PMID: 33174963
Even though most current recommendations include the general use of masks to prevent community transmission of SARS-Cov-2, the effectiveness of this measure is still debated. The studies on this policy...