View clinical trials related to Neonatal Intensive Care Unit.
Filter by:Aims and objectives: This study was performed to examine the effects of Non-nutritive sucking, breast milk odor, and Facilitated tucking on preterm infant pain before, during, and after heel-stick procedures. Design: A randomized clinical trial in a single center. Methods: The study was conducted on 144 premature infants with a gestational age of 31 to 36 weeks and 6 days hospitalized in the neonatal intensive care unit of Shahid Sayad Shirazi Hospital in Iran. Neonates were randomly assigned to four groups: 36 babies were included in the Non-nutritive sucking(1st Group), 36 in breast milk odor (2nd Group), 36 in Facilitated tucking (3rd Group), and 36 in the control group (4th Group). Pain score, heart rate, oxygen saturation, and respiratory rate of the babies in all groups before, during, and after the procedure were evaluated by two nurses independently.
Drug-related problems in newborn babies have been reported with a rate of 4-30%. It is estimated that the higher rates of these problems in hospitalized children under the age of two are related to the variety of drugs used and the differences in the age, weight and diagnosis of the patients. In this context, with the clinical parameters and demographic data obtained in the first 24 hours of the patients hospitalized in the neonatal intensive care unit, machine learning algorithms are used to predict the risks that may arise from possible drug-related problems (prescribing and administration errors, side effects and drug-drug interactions) that may occur during hospitalization. The algorithm, which will be created by modeling with a high number of big data pool, is planned to be transformed into a clinical decision support system software that can be used easily in clinical practice with online and mobile applications. By processing the data of the patients to be included in the model, it is aimed to prevent and manage drug-related problems before they occur, as well as to provide cost-effective medşcation treatment to patients hospitalized in the neonatal intensive care unit, together with a reduction in the risk of drug-related mortality and morbidity.
Physiological and structural features of premature infants differ from mature newborns. Families worry about touching their very sensitive and fragile babies, which are quite different from their expectations, and they seriously concern about how they will take care of their babies who are cared for by the specialist staff at the hospital when they are discharged to home. Different approaches and models are applied in the Neonatal Intensive Care Units (NICU) to prepare families, especially mothers, for the discharge process and to overcome these fears of the parents. However, most of the time, investigators observe in both researches and units that these approaches are not efficient. In this study, which investigators started with the questions as "What can investigators do better in this issue?" and "How can investigators help families more in this process?", investigator have seen that Family Integrated Care (FICare) model is applied in some clinics abroad and successful results have been obtained. However, investigators did not come across a study that applied this model and examined the effect of it on parents on being ready for discharge. Since this study will be a first in terms of both this aspect and the application of this model in our country, in this unique study, investigators aim to draw attention to this approach in our country, also contribute to keeping the premature babies healthy. Research Hypotheses: H0 There is no difference between the readiness for discharge of mothers and fathers included in the FICare model compared to the control group. H1 The hypothesis of this study is that the mothers included in the FICare model have higher levels of discharge readiness than the control group. H2 The hypothesis of this study is that the fathers included in the FICare model have higher levels of discharge readiness than the control group.
Video recording for term and preterm newborns hosted at the AUBMC Neonate ICU will be collected. The videos will capture movements, skin color changes, positioning, and other features relevant to the diagnosis in question. Recorded video images will be analysed by a computer software using the Eulerian Video magnification technology; then images will be correlated with simultaneously recorded physiological parameters (heart rate, respiratory rate and saturation). Images will be annotated by the clinician. Correlation between the skin coloration differentials and annotated physiological parameters may establish physiological indices. These may be used to extrapolate the existence or absence of disease states.
Infections with multiply antibiotic-resistant bacteria represent a major cause of preventable morbidity and mortality amongst hospitalized neonates worldwide. In Southeast Asia, where antibiotic-resistance is a major problem, Gram-negative bacteria account for the majority of such infections. The most common pathogens are Acinetobacter spp., Pseudomonas aeruginosa, Enterobacter spp., Escherichia coli and Klebsiella pneumonia. The great majority of infections with these pathogens represent asymptomatic carriage, though in the absence of routine screening for asymptomatic carriage reliable estimates of the prevalence, rates of transmission between patients, and rates of importation from the community are lacking. Moreover, current understanding of the degree and manner in which different antibiotics act to select for such resistant organisms is rudimentary.