Zobrazeno 1 - 7
of 7
pro vyhledávání: '"María Teresa Moreiro-Barroso"'
Autor:
Leticia Nieto-García, Adela Carpio-Pérez, María Teresa Moreiro-Barroso, Emilia Ruiz-Antúnez, Ainhoa Nieto-García, Montserrat Alonso-Sardón
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Background Pressure Injuries (PIs) are major worldwide public health threats within the different health-care settings. Objective To describe and compare epidemiological and clinical features of PIs in COVID-19 patients and patients admitted for othe
Externí odkaz:
https://doaj.org/article/a0ace264d025477593b88804c79121e7
Autor:
Montserrat Alonso-Sardón, Adela Carpio-Pérez, María Teresa Moreiro-Barroso, Leticia Nieto-García
Publikováno v:
International Wound Journal
A systematic review and meta‐analysis were conducted to clarify the effect of an early mobilisation programme on the prevention of hospital‐acquired pressure injuries in an intensive care unit as opposed to standard care. We searched a total of 1
Autor:
Leticia Nieto-García, Adela Carpio-Pérez, María Teresa Moreiro-Barroso, Emilia Ruíz-Antúnez, Ainhoa Nieto-García, Montserrat Alonso-Sardón
Publikováno v:
Advances in skinwound care. 35(6)
To explore the clinical burden and epidemiologic profile of hospitalized patients with wounds during the first wave of COVID-19.A retrospective and observational study was conducted to analyze the inpatient episodes of wound care in the University Ho
Autor:
Leticia Nieto-García, Adela Carpio-Pérez, María Teresa Moreiro-Barroso, Francisco Javier Rubio-Gil, Emilia Ruiz-Antúnez, Ainhoa Nieto-García, Montserrat Alonso-Sardón
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 20
Issue 3
Pages: 2228
Volume 20
Issue 3
Pages: 2228
Wound care is an important public health challenge that is present in all areas of the healthcare system, whether in hospitals, long term care institutions or in the community. We aimed to quantify the number of skin wounds reported after and during
Autor:
Sonia Pena-Balbuena, Pedro-Ignacio Dorado-Díaz, Carolina Garcia-Vidal, Noelia Cubino-Boveda, Daniel Encinas-Sanchez, Adela Carpio, Edgar Marcano-Millan, Raul Azibeiro, Víctor Sagredo-Meneses, Eduardo Sobejano-Fuertes, Antonio Sanchez-Puente, Jesús Sampedro-Gómez, Fernanda Andrade-Meira, Miriam López-Parra, Amparo López-Bernus, Miguel Marcos, Sandra Ines, Alex Soriano, José-Ángel Martín-Oterino, David Polo-San-Ricardo, Rafael Borras, Maria-Luisa Pérez-Garcia, Moncef Belhassen-García, Miguel-Vicente Sánchez-Hernández, Beatriz Rodríguez-Alonso, Pedro-Luis Sanchez, Catalina Lorenzo, María-Teresa Moreiro-Barroso, Cristina Carbonell
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 4, p e0240200 (2021)
PLoS ONE, Vol 16, Iss 4, p e0240200 (2021)
Background Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management. Methods We trained, validated, and externally tested a machine-learning model to
Autor:
Luis, Corral-Gudino, Ramón José, Jorge-Sánchez, Judit, García-Aparicio, José Ignacio, Herrero-Herrero, Amparo, López-Bernús, María, Borao-Cengotita-Bengoa, José Ignacio, Martín-González, María Teresa, Moreiro-Barroso
Publikováno v:
European journal of clinical investigation. 41(1)
The use of noninvasive positive pressure ventilation (NPPV) outside the intensive wards has been evaluated in patients with no limitation on life-sustaining support. Our aim was to evaluate its usefulness in general wards for patients with NPPV as th
Autor:
Miguel Marcos, Moncef Belhassen-García, Antonio Sánchez-Puente, Jesús Sampedro-Gomez, Raúl Azibeiro, Pedro-Ignacio Dorado-Díaz, Edgar Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, María-Luisa Pérez-García, Beatriz Rodríguez-Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López-Bernús, Catalina Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sanchez, Alex Soriano, José-Ángel Martín-Oterino
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0240200 (2021)
BackgroundEfficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.MethodsWe trained, validated, and externally tested a machine-learning model to ear
Externí odkaz:
https://doaj.org/article/b898137880bf43dabeed06095d51ff3e