Definition and Outpatient Management of the Very Low-Birth-Weight Infant With Bronchopulmonary Dysplasia

Groothuis, Jessie R.; Makari, Doris

doi:10.1007/s12325-012-0015-y

Cited by 37 publications

(35 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We confirmed that one of the most important risk factors mentioned in literature [5], [6], [8], [9], [28], [29], [31] is the GAGE which exists in almost all (all presented in Table I and II) of the models with acceptable accuracy. Most classifiers presented in the literature consist BW EIGHT and RESP IM V parameters.…”

Section: Discussionsupporting

confidence: 81%

See 1 more Smart Citation

Bronchopulmonary Dysplasia Prediction Using Support Vector Machine and LIBSVM

Ochab

Wajs

2014

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-The paper presents BPD (Bronchopulmonary Dysplasia) prediction for extremely premature infants after their first week of life. SVM (Support Vector Machine) algorithm implemented in LIBSVM[1] was used as classifier. Results are compared to others gathered in previous work [2] where LR (Logit Regression) and Matlab environment SVM implementation were used. Fourteen different risk factor parameters were considered and due to the high computational complexity only 3375 random combinations were analysed. Classifier based on eight feature model provides the highest accuracy which was 82.60%. The most promising 5-feature model which gathered 82.23% was reasonably immune to random data changes and consistent with LR results. The main conclusion is that unlike Matlab SVM[2] implementation, LIBSVM can be successfully used in considered problem, but it is less stable than LR. In addition, the article discusses influence of the model parameters selection on prediction quality.

show abstract

Section: Discussionsupporting

confidence: 81%

“…It is most common among children who received prolonged mechanical ventilation to treat respiratory distress syndrome [5], [6] and those with low birth weight. Almost a third of infants with birth weight lower than 1000g [7] are affected.…”

mentioning

confidence: 99%

Bronchopulmonary Dysplasia Prediction Using Support Vector Machine and LIBSVM

Ochab

Wajs

2014

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

show abstract

“…ROP was described as disease warranting laser treatment (type 1 ROP [22]) in infants surviving ≥28 days. BPD was defined as requiring oxygen (1) at 28 days of life regardless of GA and (2) at 36 weeks' post-menstrual age (PMA) in babies with GA <32 weeks [23]. Late-onset sepsis was specified as positive blood culture >48 h after birth, analysed as episodes per 1,000 infant days [24].…”

Section: Methodsmentioning

confidence: 99%

Educating Neonatal Nurses in Brazil: A Before-and-After Study with Interrupted Time Series Analysis

Gilbert

Darlow

Zin³

et al. 2014

Neonatology

View full text Add to dashboard Cite

Background: Preterm birth contributes significantly to infant mortality and morbidity, including blindness from retinopathy of prematurity (ROP). Access to intensive neonatal care is expanding in many countries, but care is not always optimal, one factor being that nursing is often by inadequately trained nurse assistants. Objective: The aim of this study was to evaluate whether an educational package for nurses improves a range of outcomes including survival rates and severe ROP in 5 neonatal units in Rio de Janeiro, Brazil. Methods: The study design included an uncontrolled before-and-after study in 5 units, with interrupted time series analysis. Participatory approaches were used to develop a self-administered educational package for control of pain, oxygenation, infection, nutrition, and temperature and to improve supportive care (‘POINTS of Care'). Educational materials and DVD clips were developed and training skills of nurse tutors were enhanced. There were two 1-year periods of data collection before and after a 3-month period of self-administration of the education package. Results: Overall, 74% of 401 nurses and nurse assistants were trained. A total of 679 and 563 infants were included in the pre- and post-training periods, respectively. Despite improvement in knowledge and nursing practices, such as the delivery and monitoring of oxygen, there was no change in survival (pre-training 80%, post-training 78.2%), severe ROP (1.6 vs. 2.8%), sepsis (11.3 vs. 12.3 cases per 1,000 infant days) or other outcomes. Outcomes worsened over the pre-intervention period but the change to an improvement after the intervention was not statistically significant. During the study period many trained staff left the units, but few were replaced. Conclusions: Future studies need to focus on barriers to implementation, team building, leadership and governance, as well as the acquisition of knowledge and skills.

show abstract

“…Бронхопульмонарна дисплазія/хронічні захворювання легень є фактором ризику та по-требують скринінгу харчування для ідентифікації додаткової оцінки росту зі створенням індивіду-ального плану харчування. Встановлено затрим-ку росту в дітей із БЛД у 30-67 % випадків, яка утримується у 53 % до 4-8 років життя [9,19,31].…”

Section: оглядові статтіunclassified

“…Комітетом з харчування ESPGHAN рекомен-довано 120-140 мг/кг на добу кальцію з високим ступенем біодосяжності, 90 мг/кг на добу фосфа-тів при вигодовуванні грудним молоком [15,19].…”

Section: оглядові статтіunclassified

Peculiarities of Cell Redox-State Integral Index Dynamics in Term Newborns After Hypoxia

Kurilina¹,

Znamenska²,

Pysariev³

et al. 2015

Neonatol. hìr. perinat. med.

View full text Add to dashboard Cite

Definition and Outpatient Management of the Very Low-Birth-Weight Infant With Bronchopulmonary Dysplasia

Abstract: Bronchopulmonary dysplasia (BPD), also known as chronic lung disease of prematurity, is the major cause of pulmonary disease in infants.

Cited by 37 publications

References 72 publications

Bronchopulmonary Dysplasia Prediction Using Support Vector Machine and LIBSVM

Bronchopulmonary Dysplasia Prediction Using Support Vector Machine and LIBSVM

Educating Neonatal Nurses in Brazil: A Before-and-After Study with Interrupted Time Series Analysis

Peculiarities of Cell Redox-State Integral Index Dynamics in Term Newborns After Hypoxia

Contact Info

Product

Resources

About