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Neonatal Intensive Care

Neonatal Intensive Care is a specialized field of medicine focused on the critical care and management of newborns with life-threatening conditions.
This branch of pediatrics encompasses the provision of advanced medical interventions, monitoring, and support for premature or ill infants in a dedicated hospital unit.
The neonatal intensive care unit (NICU) utilizes specialized equipment, highly trained staff, and evidence-based protocols to ensure the best possible outcomes for these vulnerable patients.
Key aspects of neonatal intensive care include respiratory support, cardiovascular management, nutritional support, and the prevention and treatment of common complications.
Cutting-edge research and the continual refinement of care protocols are essential for improving survival rates and long-term health in this delicate population.
Leveraaging AI-driven comparisons, PubCompare.ai empowers neonatal researchers to easily identify the most reproducible and accurate protocols, streamlining their critical work.

Most cited protocols related to «Neonatal Intensive Care»

EPIPAGE 2 is a population-based prospective study scheduled to follow children up to the age of 12 years. Eligible participants include all infants live born or stillborn and all terminations of pregnancy between 22 and 31 completed weeks of gestation in all the maternity units in 25 French regions (21 of the 22 metropolitan regions and 4 overseas regions) during the inclusion period. The only region that did not participate accounted for 18 415 births in 2011, i.e., 2.2% of all births in France. In addition, a sample of moderate preterm births, i.e., births and late terminations at 32–34 weeks, was included in the same regions. The study began on March 28, 2011, and ended on December 31, 2011. The population eligible for follow-up includes all children alive at discharge from neonatal intensive care or special units or maternity wards whose parents have not declined to participate. This study will also use a sample of children born at term for control purposes. This group will be extracted from the population of the Elfe study, a contemporary cohort with a 20-year planned follow-up of 18 500 children born at or near term in 2011, in 344 randomly selected public and private maternity units in metropolitan France (
http://www.elfe-france.fr). Information on the Elfe study is described elsewhere
[21 (link)].
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Publication 2014
Child Childbirth Induced Abortions Infant Neonatal Intensive Care Parent Patient Discharge Pregnancy Premature Birth
We searched for articles describing burden on informal caregivers of adult ICU survivors, using PubMed and CINAHL from database inception to June 2014. The search strategy is presented in Table 1. Only English and Dutch articles were included.

Search strategy

DatabaseSearch terms
PubMedParticipantMeshCaregivers; family; spouses; family health; proxy
ICUMeshCritical care; critical illness; intensive care units; intensive care
ExclusionMeshIntensive care, neonatal; intensive care units, pediatric; intensive care units, neonatal; child; infant; infant, newborn; child, preschool
CINAHLParticipantMeshFamily; caregiver burden; caregivers; spouses; family health
ICUMeshCritical care; critical illness; intensive care units
ExclusionMeshIntensive care, neonatal; intensive care units, pediatric; intensive care units, neonatal; neonatal intensive care nursing; pediatric critical care nursing; child; infant; infant, newborn; child, preschool
Two authors (IvB and FBR) independently assessed the titles and abstracts of 50 randomly selected articles to ensure that the inclusion criteria were not ambiguous. For 47 (94 %) of these articles the inclusion criteria were applied identically. After discussing the differences, consensus was reached. We considered the consistency between the two authors sufficient and made no alterations to the inclusion criteria. We included original studies if: the subject of the study was an informal caregiver of an adult ICU patient; the ICU patient was discharged from hospital alive; at least one of the measurements of the burden took place after hospital discharge; and the burden on the informal caregiver was a main outcome of the study. We excluded studies on deceased ICU patients, studies on the needs or satisfaction of the informal caregiver, presence during cardiopulmonary resuscitation, and involvement in end-of-life decisions, because we hypothesized that informal caregivers of these groups would suffer different burdens.
One author (IvB) evaluated the titles and abstracts of all articles. The abstracts were either included, excluded or marked as doubtful. Another author (FBR) read the title and abstract of articles marked as doubtful and both authors discussed these articles to reach consensus on inclusion. We supplemented our searches by scanning the reference lists of previously included articles. The full text of all eligible articles was read by two authors (IvB and one of FBR, NdK, MvdS, or DAD). Both authors extracted data on the study type, characteristics of the informal caregivers, hospital and setting, type of burden and instruments used to assess the burden. If information could not be extracted from the article or online appendices, we e-mailed the corresponding author for additional information. We assessed the quality of the quantitative articles, using the Newcastle-Ottawa scale (NOS) [15 ] for observational studies and the PEDro scale [16 (link)] for randomized trials.
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Publication 2016
Adult Cardiopulmonary Resuscitation Caregiver Burden Child Critical Illness Infant Infant, Newborn Informal Caregivers Intensive Care Neonatal Intensive Care Patient Discharge Patients Satisfaction Survivors
A protocol was developed and registered with the University of York Centre for Reviews and Dissemination (PROSPERO) on 6/11/2012 and updated on the 13/02/2014, registration number CRD42012003215(http://www.crd.york.ac.uk/PROSPERO/index.asp).
A systematic search of the literature was undertaken using the following inclusion criteria: primary observational studies (cohort study, cross-sectional studies) in geographically defined population or a community sample (including samples from primary health care services) of children aged under 8 years using the PEDS[15 ] with available prevalence data (Additional file 1). Studies using the modified “Survey PEDS” were also included in this review [14 ]. Electronic databases searched were Web of Science and Google Scholar, PubMed (Nov 2012), EMBASE (Nov 2012), Medline (Nov 2012), Psychinfo (Nov 2012), Global Health (Nov2012) CINAHL (Nov 2012), the Cochrane Library (Nov 2012), LILACS (Nov 2012), ERIC (Nov 2012), and Proquest (Nov 2012). Secondary searches of citations in review articles, requests to experts in the field and additional searches of the USA based PEDStest and RCH PEDS website for key studies were undertaken. Advice from the Cochrane Child Development, Psychosocial and Learning Groups was sought regarding search terms which were specific for early child development, developmental risk and the PEDS. There were no language limitations. Studies using specific clinical samples, for example, neonatal intensive care graduates or with participants who had a known developmental disorder were excluded.
The study titles, abstracts and full papers of “potentially relevant articles” were reviewed independently by two authors (SW&VE). Disagreements about inclusion were resolved through consensus and discussion with a third author (KW). Study characteristics, prevalence, and risk factors, were extracted independently by SW and VE on a data extraction form that was piloted and modified prior to use. Where insufficient data were reported, study authors were contacted. If no reply was forthcoming or full data not made available, data were included in analysis where possible. Methodological quality was assessed independently by SW and VE based on a validity of the study methods (design, sampling frame, sample size, outcome measures, measurement and response rate), interpretation of the results and applicability of the findings [19 (link)], a score of 6 or greater was rated by the reviewers as high quality.
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Publication 2014
cDNA Library Child Child Development Developmental Disabilities Neonatal Intensive Care Primary Health Care Reading Frames Syringa
CMH is a nonprofit children’s hospital with 314 beds, including 64 level 4 NICU beds. It provides 48% of neonatal intensive care in the Kansas City metropolitan region. In 2011, the NICU had 86% bed occupancy. Retrospective samples, UDT002 and UDT173, were selected from a validation set of 384 samples with known molecular diagnoses for one or more genetic diseases. Seven prospective samples were selected from families with probands that presented in infancy, among 143 individuals without molecular diagnoses who were enrolled between 22 November 2011 and 4 April 2012 for exome or genome sequencing.
Publication 2012
Diagnosis Exome Genome Hereditary Diseases Molecular Diagnostics Neonatal Intensive Care
A sub-group of mother-child pairs were selected from the DCHS cohort for neuroimaging at 2–3 years of age with a pilot phase from July to December 2015, and the main study from January 2016 to September 2018. A total of 239 mother-child pairs were invited to attend for neuroimaging when the child turned 2 years who were known to be currently active in the cohort, staying in the study area, and had none of the following exclusion criteria: (i) Medical comorbidity (genetic syndrome, neurological disorder, or congenital abnormality); (ii) Gestation <36 weeks; (iii) Low Apgar score (<7 ​at 5 ​min); (iv) Neonatal intensive care admission; (v) Maternal use of illicit drugs during pregnancy; (vi) Child HIV infection. Children who underwent MRI in the neonatal period were prioritised; methods are described in full elsewhere (Donald et al., 2018 ). Children were selected for neuroimaging based on risk factor exposure to ensure adequate representation, and a randomly selected comparison group frequency matched by age and sex. Written informed consent was obtained from the parent.
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Publication 2020
Apgar Score Child Congenital Abnormality Hereditary Diseases HIV Infections Illicit Drugs Infant, Newborn Mothers Neonatal Intensive Care Nervous System Disorder Parent Pregnancy

Most recents protocols related to «Neonatal Intensive Care»

Finnish and Icelandic Medical Birth Registers include data on all hospital births, planned home births (<0.2% of births in Finland [26 (link)] and 2% of births in Iceland [27 ]), planned births at midwives’ clinics in Iceland (2% of Icelandic births), and unplanned births outside of the hospital. The high quality of the registers and their virtually complete coverage of all births has been described previously [28 (link), 29 ]. The data in these registers are typically provided by midwives or physicians attending out-of-hospital births, or by the hospitals where women have given birth or where women been treated after the birth. In Finland, neonatal care for babies born before 32 weeks is centralised to five university hospitals. In Iceland, a neonatal intensive care unit at the university hospital in Reykjavík provides care for babies born after 22 weeks, and a special care unit in Akureyri also provides care for babies born after 34 weeks.
The Nova Scotia Atlee Perinatal Database contains data from all births in Nova Scotia and includes out-of-hospital births (1% of births in Nova Scotia), both planned and unplanned. Validation studies have demonstrated its high data quality [30 (link)]. The type of neonatal care provided for babies in Nova Scotia is region-dependent.
In Scotland, the Maternity Inpatient and Day Case Scottish Morbidity Records (SMR02) include data from inpatient and outpatient hospital-based “episodes” (any interaction with the health care system, irrespective of duration), which are submitted to Public Health Scotland (PHS) when a woman is discharged from that episode of care. Delivery data accounts for approximately half of all SMR02 discharges [31 ]. Until 2019, SMR02 did not include data on homebirths (1% of births in Scotland [27 ]) or births at non-NHS hospitals, unless data were subsequently recorded by an NHS hospital. However, SMR02 delivery records are consistently reported to be 99% complete for all known births registered by the statutory National Records of Scotland (NRS) per year [31 ]. The type of neonatal care provided in Scotland is location-dependent.
The Rabin Medical Center Database contains data from all births within this tertiary hospital alone, which accounts for 5% of births in Israel, and provides neonatal intensive care for babies from 23 weeks onwards.
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Publication 2023
Childbirth Episode of Care Infant Infant, Newborn Inpatient Midwife Neonatal Intensive Care Obstetric Delivery Outpatients Physicians Woman
An institution-based prospective cohort study was conducted from the first of November 2018, to the first of November 2019 in selected hospitals in Northwest Ethiopia. The study was conducted at Debre Markos Comprehensive Specialized Hospital, Shegaw Motta District Hospital, and Injibara General Hospital. They are 300 kilometers, 371 kilometers, and 445 kilometers apart from Addis Ababa, Ethiopia’s capital, respectively. The three hospitals serve for more than 6.5 million people in the Amhara regional state and neighboring regions. Apart from other services, all three hospitals offer neonatal intensive care for seriously ill newborns, including those who suffered from asphyxia.
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Publication 2023
Asphyxia Infant, Newborn Neonatal Intensive Care
Following the KRINKO guideline of 2013, our clinic decided to introduce a colonization screening which includes every neonatal intensive care patient on all of our three neonatal wards. We test all neonates with an estimated stay of at least 12 h upon admission and then weekly by anal and pharyngeal swabs irrespective of their gestational age and birth weight. In addition, all neonates are tested on inpatient admission. In suspicion of an infection or nosocomial transmissions, shortened screening intervals apply. Additionally, a bacteriological screening is taken from tracheal aspirate from all neonatal patients on ventilation after intubation or admission and continued twice weekly. A parents’ questionnaire supports the identification of high-risk patients for MRSA colonization. Whenever there is a positive medical history indicating a high prevalence background such as contact to farm animals, necessity of dialysis, chronic skin lesions, or hospitalization in the past 12 months, we perform a pharyngeal swab test for MRSA. VRE screening is solely performed for neonates with VRE history and for all neonates in case of an infection on the ward. A colour coded alert system assures sufficient hygienic management on the ward: At the time of admission, neonates remain isolated by bed location and are treated as potentially colonized. After receipt of the microbiological screening results (up to 48 h), patients are either isolated in a single room (red category) in case of 3- or 4MRGN or MRSA, remain isolated by bedside in case of 2MRGN NeoPaed (yellow category) or isolation is set aside (green category, negative test results).
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Publication 2023
Animals Anus Birth Weight Dialysis Gestational Age Hospitalization Infant, Newborn Infection Inpatient Intubation isolation Methicillin-Resistant Staphylococcus aureus Neonatal Intensive Care Parent Patients Pharynx Skin Trachea Transmission, Communicable Disease
The Drakenstein Child Health Study (DCHS) is a multi-disciplinary longitudinal birth cohort investigating the early-life determinants of child health in two impoverished communities located in the Western Cape Province of South Africa (Stein et al., 2015 (link), Zar et al., 2015 (link)). The full cohort consisted of 1137 expectant mothers in their second trimester who were recruited from two public primary health care clinics: Mbekweni (serving a Black African community) and TC Newman (serving a mixed-ancestry community). Between September 2012 and September 2015, 236 of these mother-infant pairs (20.6% of full cohort) were invited to take part in a brain magnetic resonance imaging (MRI) sub-study approximately 2–6 weeks after birth (Fig. 1). Infants were excluded if they had: (1) any medical comorbidities, including a genetic syndrome, neurological disorder or congenital abnormality; (2) low Apgar score (<7 at 5 min); (3) neonatal intensive care admission; (4) maternal use of illicit drugs during pregnancy; (5) MRI contraindications; or (6) infant HIV infection. Previous studies have demonstrated a high burden of poverty-related stressors during pregnancy in this cohort including substance use, low education, and depressive symptoms (Groenewold et al., 2022 (link), Stein et al., 2015 (link)).

Drakenstein Child Health Study cohort flow chart of neonates with neuroimaging. Structural MRI was unsuccessful in infants who did not sleep or because of artefacts evident during the scan. In the 183 infants with eligible T2-weighted images, 37 did not pass quality control either due to poor image quality, normalization errors, or segmentation faults leaving a total of 146 infants with structural MRI data available. We were unable to account for missing birthweight (n = 1) and missing antenatal alcohol consumption (n = 1), as they are considered exogenous thus are not predicted by any of the other variables in the model.

Fig. 1
All protocols received ethical approval from the University of Cape Town, Faculty of Health Sciences, Human Research Ethics Committee (full cohort: 401/2009; MRI sub-study 525/2012). The parent study was approved by the Western Cape Provincial Health Research committee (2011RP45). All study procedures were carried out in accordance with the Declaration of Helsinki (World Medical Association, 2013 (link)).
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Publication 2023
Apgar Score Birth Cohort Birth Weight Brain Childbirth Children's Health Congenital Abnormality Depressive Symptoms Ethics Committees, Research Faculty Hereditary Diseases HIV Infections Homo sapiens Illicit Drugs Infant Infant, Newborn Mothers Negroid Races Neonatal Intensive Care Nervous System Disorder Parent Pregnancy Primary Health Care Radionuclide Imaging Sleep Substance Use
The baseline data were obtained from hospital observation sheets and the patient’s medical files. The patient’s informed consent was a mandatory inclusion criterion. The identification data were not included in the database we developed, which is structured as follows:
-Personal data: age and area of residence.
-Obstetric/gynecological history: abortions/pregnancies and ante/perinatal complications.
-Details related to the current pregnancy: pregnancy follow-up or not, gestational age (GA) at the time of assessment, pregnancy-related disorders (hypertension, gestational diabetes, anemia, thrombocytopenia, and proteinuria), GA at which renal failure was diagnosed, and the mode of delivery (cesarean section/vaginal birth).
-Data regarding fetal parameters: complications during pregnancy (SGA/FGR), fetal birth weight, 1 min Apgar score, and neonatal intensive care admission.
-Data regarding the underlying disease that caused the CKD and the current treatment (hemodialysis) as the trigger factors for AKI.
-Data on the evolution of biochemical parameters (values of nitrogen retention on admission and its evolution during hospitalization).
-The need for dialysis during hospitalization.
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Publication 2023
Anemia Apgar Score Biological Evolution Birth Care, Prenatal Cesarean Section Dialysis Fetal Weight Gestational Age Gestational Diabetes Hemodialysis High Blood Pressures Hospitalization Induced Abortions Kidney Failure Neonatal Intensive Care Nitrogen Obstetric Delivery Patients Precipitating Factors Pregnancy Pregnancy Complications Retention (Psychology) Thrombocytopenia Vagina

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More about "Neonatal Intensive Care"

Neonatal Intensive Care (NIC) is a specialized field of pediatric medicine focused on the critical care and management of newborns with life-threatening conditions.
This branch of neonatology encompasses the provision of advanced medical interventions, monitoring, and support for premature or ill infants in a dedicated hospital unit known as the Neonatal Intensive Care Unit (NICU).
The NICU utilizes specialized equipment, highly trained staff, and evidence-based protocols to ensure the best possible outcomes for these vulnerable patients.
Key aspects of neonatal intensive care include respiratory support, cardiovascular management, nutritional support, and the prevention and treatment of common complications.
Cutting-edge research and the continual refinement of care protocols are essential for improving survival rates and long-term health in this delicate population.
Leveraging advanced statistical software like Stata, researchers can conduct in-depth analyses and comparisons of neonatal intensive care protocols.
Tools like Stata 13, Stata version 16, and SAS Enterprise Guide 8.3 can be used to identify the most reproducible and accurate protocols, streamlining critical research in this field.
Additionally, neonatal researchers may explore the use of Cottonseed oil, Perchloric acid, and other specialized materials or techniques in their studies.
By utilizing AI-driven comparisons, platforms like PubCompare.ai empower neonatal researchers to easily locate and evaluate the most effective protocols, products, and interventions, ultimately enhancing the quality of care for premature and critically ill newborns.