“Playing it SAFE in the NICU” SAFE-R: a targeted diagnostic ultrasound protocol for the suddenly decompensating infant in the NICU

Yousef, Nadya; Singh, Yogen; Luca, Danièle De

doi:10.1007/s00431-021-04186-w

Cited by 24 publications

(19 citation statements)

References 13 publications

(11 reference statements)

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“…4 However, our data show that only 48% of centers relied exclusively on LU in emergency situations, and the percentage reduced to 24% in the case of newborns in noncritical conditions. The use of LU has recently been included in emergency diagnostic protocols in newborns with life-threatening symptoms, such as SAFE 11 and SAFE-R, 31 which also include diagnostic evaluation and rapid treatment of PNX.…”

Section: Discussionmentioning

confidence: 99%

Lung ultrasound in Italian neonatal intensive care units: A national survey

Corsini

Parri

Ficial

et al. 2022

Pediatric Pulmonology

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Introduction Lung ultrasound (LU) is a noninvasive, bedside imaging technique that is attracting growing interest in the evaluation of neonatal respiratory diseases. We conducted a nationwide survey of LU usage in Italian neonatal intensive care units (NICUs). Methods A structured questionnaire was developed and sent online to 114 Italian NICUs from June to September 2021. Results The response rate was 79%. In the past 4 years (range: 2–6), LU has been adopted in 82% of Italian NICUs. It is the first‐choice diagnostic test in 23% of the centers surveyed. The main LU diagnostic applications reported were: pneumothorax (95%), respiratory distress syndrome (89%), transient tachypnea of the newborn (89%), plural effusion (88%), atelectasis (66%), pneumonia (64%), bronchopulmonary dysplasia (43%), congenital pulmonary airway malformation (41%), and congenital diaphragmatic hernia (34%). Thirty percent of participating centers calculated LU score routinely, but only seven units used it to predict the need for surfactant replacement. Sixty‐six percent of respondents learned the LU technique via a self‐training process, while 34% of them visited an expert in the field for one‐to‐one tuition. Conclusions LU has a widespread use in Italian NICUs. However, the use of LU is extremely heterogeneous among centers. There is an urgent need to ensure standardization of clinical practice guidelines and to design and implement a formalized and accredited training program.

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Section: Discussionmentioning

confidence: 99%

Lung ultrasound in Italian neonatal intensive care units: A national survey

Corsini

Parri

Ficial

et al. 2022

Pediatric Pulmonology

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“…The study ( 23 ) proposes that children's information is uploaded to the cloud to update the database, and parents can view the children's information through mobile app. In 2017, Li Qingyi and song Xueliang disclosed an all-in-one kindergarten morning check-up and medical care machine, which proposed to integrate the kindergarten common disease check-up and nursing materials.…”

Section: Related Workmentioning

confidence: 99%

Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics

Wang

2022

Front. Public Health

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Intelligent health diagnosis for young children aims at maintaining and promoting the healthy development of young children, aiming to make young children have a healthy state and provide a better future for their physical and mental health development. The biological basis of intelligence is the structure and function of human brain and the key to improve the intelligence level of infants is to improve the quality of brain development, especially the early development of brain. Based on machine learning and health information statistics, this paper studies the development of infant health diagnosis and intelligence, physical and mental health. Pre-process the sample data, and use the filtering method based on machine learning and health information statistics for feature screening. Compared with traditional statistical methods, machine learning and health information statistical methods can better obtain the hidden information in the big data of children's physical and mental health development, and have better learning ability and generalization ability. The machine learning theory is used to analyze and mine the infant's health diagnosis and intelligence development, establish a health state model, and intuitively show people the health status of their infant's physical and mental health development by means of data. Moreover, the accumulation of these big data is very important in the field of medical and health research driven by big data.

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“…The evidence for evaluating pulmonary edema and detecting anesthesia-induced atelectasis was weaker (level C). Several algorithms have been proposed for neonatal LUS, including the assessment of life threatening emergencies [ 2 , 22 ], neonatal respiratory pathologies algorithm [ 8 ], and the neonatal LUS protocol [ 23 , 24 ]. The SAFE-R protocol was designed for use in the decompensating neonate and includes the evaluation of cardiac tamponade, pneumothorax, pleural effusion, and myocardial function [ 22 ].…”

Section: Applications Of Neonatal Lung Ultrasoundmentioning

confidence: 99%

“…Several algorithms have been proposed for neonatal LUS, including the assessment of life threatening emergencies [ 2 , 22 ], neonatal respiratory pathologies algorithm [ 8 ], and the neonatal LUS protocol [ 23 , 24 ]. The SAFE-R protocol was designed for use in the decompensating neonate and includes the evaluation of cardiac tamponade, pneumothorax, pleural effusion, and myocardial function [ 22 ]. These algorithms need further study to evaluate probe selection, patient selection, and management strategies.…”

Section: Applications Of Neonatal Lung Ultrasoundmentioning

confidence: 99%

Lung Ultrasound in the Neonatal Intensive Care Unit: Does It Impact Clinical Care?

et al. 2021

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A neonatal point-of-care ultrasound has multiple applications, but its use has been limited in neonatal intensive care units in the Unites States. An increasing body of evidence suggests that lung ultrasound performed by the neonatologist, at the bedside, is reliable and accurate in differentiating neonatal respiratory conditions, predicting morbidity, and guiding invasive interventions. Recent research has shown that a lung ultrasound can assist the clinician in accurately identifying and managing conditions such as respiratory distress syndrome, transient tachypnea of the newborn, and bronchopulmonary dysplasia. In this review, we discuss basic lung ultrasound terminology, evidence for applications of neonatal lung ultrasound, and its use as a diagnostic and predictive tool for common neonatal respiratory pathologies.

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“Playing it SAFE in the NICU” SAFE-R: a targeted diagnostic ultrasound protocol for the suddenly decompensating infant in the NICU

Cited by 24 publications

References 13 publications

Lung ultrasound in Italian neonatal intensive care units: A national survey

Lung ultrasound in Italian neonatal intensive care units: A national survey

Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics

Lung Ultrasound in the Neonatal Intensive Care Unit: Does It Impact Clinical Care?

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