Neonatal intensive care in Korea has improved remarkably since the 1990s, but there is still a shortage of facilities and equipment in NICUs. Only 71.1% of the beds needed for neonatal intensive care are available. Mechanical ventilators are not appropriately distributed to the NICUs that are equipped to handle neonatal intensive care. The number of doctors is far too small, making the number of patients per doctor very high. Nurses, too, need to take care of 7.7 patients per nurse, making it very difficult to provide adequate intensive care. All this is caused by insufficient investment by the hospitals, which, in turn, is caused by inadequate reimbursement from health insurance. Therefore, a government-sponsored effort is necessary to bring the level of neonatal intensive care up to par.
Humans ; Infant, Newborn ; Insurance, Health ; Critical Care ; Intensive Care Units, Neonatal ; Intensive Care, Neonatal ; Investments ; Korea ; Ventilators, Mechanical

Neonatal intensive care in Korea has improved remarkably since the 1990's, but there is still a shortage of facilities and equipments in neonatal intensive care units (NICUs). Only 61.7% of hospital beds needed for neonatal intensive care are available, the given area per bed is limited, and other facilities such as on-call rooms, interview rooms, closets are insufficient. Mechanical ventilators are not appropriately distributed to NICUs that are equipped to handle neonatal intensive care. The number of physicians for neonatal intensive care is by far too small, with the number of patients per physician being very high. The number of patients per nurse, too, is as high as 5.3 to 7.3, making it very difficult to provide adequate intensive care. All these are caused by the insufficient investment by the hospitals, which is due to the inadequate reimbursement from the health insurance. Therefore, government-driven efforts are necessary to bring the level of neonatal intensive care service up to par.
Critical Care ; Humans ; Infant, Newborn ; Insurance, Health ; Intensive Care Units, Neonatal* ; Intensive Care, Neonatal* ; Investments ; Korea ; Ventilators, Mechanical

BACKGROUND: Hospitalization in neonatal intensive care units (NICU) exposes preterm infants to adverse stimuli, including continuous 24-hour lighting. There is currently no standardized NICU layout advised for the best development of preterm neonates. This meta-analysis aimed to assess the impact of cycled light (CL) exposure on clinical outcomes in premature infants admitted to NICU as synthesized in previous studies. MATERIALS AND METHODS: This meta-analysis protocol was developed following the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) statement. A search was performed in PubMed/MEDLINE, EMBASE, Scopus, and Cochrane databases using the MeSH/key words: ―light exposure‖ AND pre-term AND cycled AND (RCT OR trials OR ―randomized controlled trial). The pooled Mean Difference with corresponding 95% CI was computed for weight gain, duration until start of enteral feeding, and duration of ICU stay using the Mantel–Haenszel random-effect model. RESULTS: Nine studies were included. The pooled mean difference showed that among preterm infants who had cycled light exposure, average daily weight gain (MD=6.24 grams, 95%CI=1.36 to 11.13, p=0.01) was significantly higher than those with continuous light exposure. The average time to start enteral feeding (MD=-3.84 days, 95%CI=-7.56 to -0.13, p=0.04) and average ICU stay (MD=-8.43 days, 95%CI=-12.54 to -4.31, p<0.0001) among neonates who had cycled light exposure were significantly shorter. CONCLUSION Benefits were seen in preterm infants when exposed to cycled light as opposed to continuous light. CL exposed infants showed a daily weight gain that was 6.24 grams higher, on average, and began enteral feeding nearly 4 days sooner. It led to a decrease in the duration of ICU stay by around 8 to 9 days on average. Further trials to determine the impact of cycled light exposure on morbidity and mortality among preterm neonates is recommended.
Human ; Male,Female ; Systematic review ; Meta-analysis ; Infant, Premature ; Intensive care units, Neonatal ; Intensive care, Neonatal ; Light ; Lighting ; Critical care

PURPOSE: The purpose of this study was to investigate the influence of perceptions of death, end-of-life (EOL) care stress, and emotional intelligence on attitudes toward EOL care among nurses in the neonatal intensive care unit (NICU). METHODS: The participants were 111 nurses working in a NICU who had experienced EOL care at least once. Data were analyzed using the t-test, Pearson correlation coefficient, and stepwise multiple regression analysis in SPSS for Windows. RESULTS: The mean score for perceptions of death was 3.16 out of 5, the mean score for EOL care stress was 3.61 out of 5, the mean emotional intelligence score was 4.66 out of 7, and the average score for EOL care attitudes was 2.77 out of 4. The factors affecting attitudes towards EOL care were academic degree, anxiety regarding death, negativity towards death, experiences of patient death, and emotional intelligence. The explanatory power of these variables for attitudes towards EOL care was 24.7%. CONCLUSION: The results of this study are expected to serve as a basic reference for the development of nursing education programs and EOL care protocols to improve attitudes toward EOL care among NICU nurses.
Anxiety ; Critical Care ; Education, Nursing ; Emotional Intelligence* ; Humans ; Infant, Newborn ; Intensive Care, Neonatal* ; Terminal Care

Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality or improve prognosis. Whole-genome sequencing covers more comprehensive information including point mutation, copy number, and structural and rearrangement variations in the intron region and has become one of the powerful diagnostic tools for genetic diseases. Sequencing data require highly professional judgment and interpretation and are returned for clinical application after several weeks, which cannot meet the need for the diagnosis and treatment of genetic diseases in children. This article introduces the clinical application of rapid whole-genome sequencing in the NICU/PICU and briefly describes related techniques of artificial intelligence-rapid whole-genome sequencing diagnostic system, a rapid high-throughput automated platform for the diagnosis of genetic diseases. The diagnostic system introduces artificial intelligence into the processing of data after whole-genome sequencing and can solve the problems of long time and professional interpretation required for routine genome sequencing and provide a rapid diagnostic regimen for critically ill children suspected of genetic diseases within 24 hours, and therefore, it holds promise for clinical application.
Artificial Intelligence ; Child ; Critical Illness ; Humans ; Infant, Newborn ; Intensive Care Units, Neonatal ; Intensive Care Units, Pediatric ; Whole Genome Sequencing

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Critical Care ; Intensive Care Units

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Critical Care ; Intensive Care Units

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Intensive Care Units* ; Critical Care*

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Intensive Care Units* ; Critical Care*

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Intensive Care Units* ; Critical Care*