Zobrazeno 1 - 10
of 1 049
pro vyhledávání: '"Preterm Newborn"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Objective To construct a highly accurate and interpretable feeding intolerance (FI) risk prediction model for preterm newborns based on machine learning (ML) to assist medical staff in clinical diagnosis. Methods In this study, a sample of 3
Externí odkaz:
https://doaj.org/article/afa018ddb439441db2d61e8dfdb17ccf
Publikováno v:
Juvenis Scientia, Vol 10, Iss 2, Pp 34-46 (2024)
Objective. To evaluate morphological changes of placenta in 21 dead preterm babies with extremely low body weight. Materials and Methods. We evaluated the grade of immaturity of the placenta, inflammatory changes of placenta and extraplacental membra
Externí odkaz:
https://doaj.org/article/d2fe9461bafc4f27a59295dca02dab17
Publikováno v:
Iranian Journal of Neonatology, Vol 14, Iss 4, Pp 48-53 (2023)
Background: Nasal Continuous Positive Airway Pressure (N-CPAP) is the standard method of respiratory support in neonatal intensive care units, and this method is used for almost all infants with respiratory distress syndrome (RDS) for respiratory sup
Externí odkaz:
https://doaj.org/article/e2cc84d2043448b8a7ea585efea89ea5
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Oropharyngeal administration of colostrum (OAC) has an immune-stimulating effect on oropharyngeal-associated lymphoid tissue, and can promote the maturation of the gastrointestinal tract. However, how OAC promotes intestinal matur
Externí odkaz:
https://doaj.org/article/e48349722bdc4c0985f4c33b68048387
Autor:
Nicoleta Lungu, Daniela-Eugenia Popescu, Ana Maria Cristina Jura, Mihaela Zaharie, Mihai-Andrei Jura, Ioana Roșca, Mărioara Boia
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 681 (2024)
Sepsis continues to be challenging to diagnose due to its non-specific clinical signs and symptoms, emphasizing the importance of early detection. Our study aimed to enhance the accuracy of sepsis diagnosis by integrating multimodal monitoring techno
Externí odkaz:
https://doaj.org/article/392fdad0c0784e2ab2beea122726c57f
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Malawi has one of the highest incidences of premature birth, with twice the mortality compared to full-term. Excluding fathers from preterm newborn care has negative consequences, including father feeling powerless, missed bonding
Externí odkaz:
https://doaj.org/article/d51f8752addc468fbed243a431a59c95
Publikováno v:
Boletín Médico del Hospital Infantil de México, Vol 81, Iss 1 (2024)
Background: Preterm newborns require the use of the best and most current strategies to treat and prevent both acute pathology and associated sequelae. This study aimed to compare the differences in the management of preterm newborns over 10 years in
Externí odkaz:
https://doaj.org/article/f2e65139b8f84b689d261edb73d00546
Publikováno v:
Sanamed, Vol 18, Iss 1, Pp 21-25 (2023)
Introduction:The diagnosis of acute kidney injury (AKI) in preterm newborns with perinatal asphyxia based on increased serum creatinine (sCr) value and oliguria/anuria is usually delayed. The Aim of this paper is to evaluate serum cystatin C as an ea
Externí odkaz:
https://doaj.org/article/9a25203e546e446cb0d02a9150db6d5e
Publikováno v:
مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 45, Iss 1, Pp 55-66 (2023)
Background. Preterm infants’ mothers experience higher level of anxiety and depression, and are more prone to postpartum depression compared to the mothers of term infants. This anxiety at the beginning of and during the breastfeeding process cause
Externí odkaz:
https://doaj.org/article/8e425d8952d14a61a957131f605603ae
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background Kangaroo care (KC) is an effective technique to prevent injury in newborns due to prematurity and hospitalization. Mothers of preterm newborns experience their own set of physical and mental problems. Such circumstances call for a
Externí odkaz:
https://doaj.org/article/90162e006690438bbfcbe6c863822790