Background: The objective of this study was to evaluate the course of pregnancy and delivery of obstetric patients admitted for intensive care, and determine the health status of their infants.
Methods: This was a retrospective register-based study. Four university hospitals in Finland participated. Obstetric patients admitted to the intensive care unit in any trimester of pregnancy, during delivery or up to 42 days post partum were identified from clinical information systems over a five-year study period. Parturient and infant data were collected from the Medical Birth Register.
Results: During the study period (2007-2011), 283 obstetric patients were identified from the clinical information system. The most common reason for admission was hypertensive complications (58%), followed by obstetric haemorrhage (25.1%). Advanced maternal age, nulliparity and multiple pregnancies were associated with obstetric intensive care unit admissions. Of patients admitted to intensive care, 68.9% delivered by unscheduled caesarean section. Nearly 60% of neonates were born preterm, 56.1% needed treatment in a neonatal intensive care unit or an observation unit and 4.6% died within one week.
Conclusion: Advanced maternal age, nulliparity and multiple pregnancy were more common among intensive care unit-admitted women than in the general obstetric population. The main causes for admission were hypertensive complications and obstetric haemorrhage. Compared with the general obstetric population, neonates of intensive care unit-admitted mothers were eight times more likely to require treatment on a neonatal ward and their risk of neonatal death was also eight times greater.
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http://dx.doi.org/10.1016/j.ijoa.2019.07.002 | DOI Listing |
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain.
Background: Psoriasis is an inflammatory disease primarily treated through molecular-targeted therapies. However, emerging evidence suggests that dietary interventions may also play a role in managing inflammation associated with this condition. The Mediterranean diet (MedDiet), prevalent in southern European countries, has been widely recognized for its ability to reduce cardiovascular mortality, largely due to its anti-inflammatory properties.
View Article and Find Full Text PDFHepatology
January 2025
AP-HP, Sorbonne Université, Liver Intensive Care Unit, Hepatogastroenterology Department, La Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'Hôpital, Paris 75013, France.
Background And Aims: In cirrhosis, some patients display acute encephalopathy without hyperammonemia (NonHep E) which is not considered as overt hepatic encephalopathy (OHE). We aimed to assess the prevalence and characteristics of NonHep E and OHE in cirrhotic patients displaying acute encephalopathy, assess their respective prognosis and compare it to other causes of acute decompensation (AD) with/without hyperammonemia.
Approach And Results: We conducted a retrolective analysis from a prospective cohort of patients hospitalized for AD.
Rev Lat Am Enfermagem
January 2025
National Autonomous University of Honduras, School of Nursing, Tegucigalpa, Francisco Morazán, Honduras.
Objective: to explore the nurses' perceptions among the quality of care to stroke patients in a public hospital in Northern Honduras.
Method: a descriptive phenomenological study was carried out. The data collection was conducted by means of depth- interviews to 20 general nurses from the emergency and clinical medicine departments from the Atlántida General Hospital.
Rev Lat Am Enfermagem
January 2025
Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brazil.
Objective: to demonstrate the sizing of intensive care nursing staff estimated by two calculations, using the Nursing Activities Score as one of its central components.
Method: descriptive, retrospective study that compiled the Nursing Activities Score scores of patients in five Intensive Care Units of a hospital in southern Brazil. Two calculations were used to size the nursing staff.
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