Comparison of Neonatal Transport Scoring Systems and Transport-Related Mortality Score for Predicting Neonatal Mortality Risk

Sütçüoğlu, Sümer; Çelik, Tuğçe; Alkan, Senem; İlhan, Özkan; Özer, Esra Arun

doi:10.1097/pec.0000000000000350

Cited by 7 publications

(8 citation statements)

References 12 publications

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“…Gestational age affects significantly some of the transport performance measures in the effectiveness domain: stabilisation time and unintended hypothermia [1,3,13,27,32]. In the present study, unnoticed hypothermia was outstandingly more frequent than reported in other studies [37] and similar to others [42], and prevalent in preterm and term babies, but significantly descended in the second period probably reflecting a better performance. Besides, the adequate definition for systemic arterial hypotension in newborns is yet to be established, but it is clear that gestational age needs to be taken into account [47].…”

Section: Discussionsupporting

confidence: 74%

Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme

et al. 2020

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There is a lack of consensus on quality indicators suitable for neonatal transport. The aim of this study is to make a proposal for specific quality indicators for newborn transport. A retrospective descriptive study was performed (2009 to 2015) where twenty-four indicators were selected, evaluated and classified according to the 6 dimensions of quality of the Institute of Medicine. Among the 24 evaluated quality metrics, there were 3 of them which needed a correction when evaluating neonatal transport performance, because they were significantly correlated with gestational age. They were (a) stabilisation time, (b) prevalence of newborn arterial hypotension (defined by gestational age) and (c) unnoticed hypothermia at referral hospital. Conclusion: Quality evaluation through the definition of specific metrics in newborn transport is feasible. These indicators should be defined or adjusted for newborn population to measure the actual performance of the transport service. What is Known: • Quality indicators may help in defining metrics for clinical practice, promoting benchmarking and defining areas of improvement. • Newborn characteristics call for a specialised care, and quality measure during newborn transport require specific metrics. Quality metrics for paediatric transport have been defined using Delphi method. Some of these measures need to be specific for newborn, due to their intrinsic characteristics. What is New: • Using evidence-based literature and our newborn transport experience, specific quality indicators for newborn transport are suggested. • Data analysis shows how some indicators need to be adjusted for gestational age.

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Section: Discussionsupporting

confidence: 74%

Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme

et al. 2020

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“…) 15 [11][12][13][14][15][16][17][18] баллов. Шкала применялась в авторской версии, без модификаций.…”

Section: оценка по шкале Ntiss на момент осмотра реаниматолога транспортной бригады составила (медиана [Iqr]unclassified

“…AUC для прогнозирования летального исхода при использовании шкал MINT составила 0,92, для шкал SNAP-PE-II и TREMS -0,84. Чувствительность, специфичность, положительная предиктивная ценность и отрицательная предиктивная ценность составила 96%, 54%, 31% и 98% -для MINT, 87%, 70%, 39%, 96%для SNAP-PE-II и 82%, 71%, 38%, 94% -для TREMS [15]. Шкалы также схожи по возможности прогнозирования летального исхода со шкалой NTISS, однако полученный нами уровень положительной предиктивной ценности оказывается неприемлемо низким.…”

Section: дискуссияunclassified

Assessment of the predictive value of the NTISS scale for neonatal outcomes

Ковтун

Mukhametshin

Давыдова

2021

jour

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Introduction. Improving the disease severity scoring systems at the stages of inter-hospital transportation remains an actual in neonatal intensive care. Therapeutic scales remain poorly studied and their predictive value and practical applicability. The aim of the work is to determine the predictive value of the NTISS scale at the stage of pre-transport preparation in relation to the treatment outcomes of newborns.Materials and methods. The cohort study included data from 604 visits of the resuscitation and consultation center transport team. The evaluation was performed on the NTISS scale, and the outcomes were studied. The AUC ROC curve of the NTISS scale was calculated in relation to the binary outcomes. The correlation analysis of the quantitative data was performed by Spearman's criterion.Results. AUC greater than 0.8 was observed for the risk of death (AUC=0,823 (0,758-0,888)), 7-day mortality (AUC=0,827 (0,752-0,901)), late onset sepsis (AUC=0,808 (0,737-0,879)), bronchopulmonary dysplasia (AUC=0,810 (0,763-0,856)), severe intraventricular hemorrhage (AUC=0,847 (0,804-0,889)) иocclusivehydrocephalus(AUC=0,830 (0,757-0,904)). Similarresultswereobtained analyzing the outcomes among the surviving patients. For other binary outcomes, the scale shows an AUC of less than 0.8. The analysis of outcomes among the surviving patients showed a weak correlation between the NTISS score and the duration of intensive care, r=0.492, p<0.0001, and the duration of hospitalization, r=0.498, p<0.0001.Discussion. The NTISS scale demonstrated an acceptable level of accuracy (AUC>0.8) in predicting hospital mortality, late neonatal sepsis, bronchopulmonary dysplasia, severe intraventricular hemorrhage, and the formation of occlusive hydrocephalus, among both surviving patients and general sample. The observed results are comparable with the information content of other neonatal scales of various types.Conclusion. The predictive value of NTISS in relation to the outcomes of the hospital stage is comparable to the physiological scales described in the literature.

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“…On admission, detailed clinical assessment of each baby was carried out and the following parameters documented; the rectal temperature, random plasma glucose, respiratory rate, heart rate, oxygen saturation, blood pressure and serum bicarbonate. The Transport Risk Index of Physiologic Stability (TRIPS) score was calculated for each of the neonates and classified as low (0-10), moderate (11)(12)(13)(14)(15)(16)(17)(18)(19)(20), severe (21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and very severe (>30) [16][17][18][19].…”

Section: Thismentioning

confidence: 99%

“…The TRIPS score has been used as a tool to evaluate the effect of transport on illness severity in newborns even in some developing countries [12]. The TRIPS score is not being used in Nigeria and many other developing countries however, it would be a useful tool in such settings as it would allow health care workers assess the impact of transport practices on outcomes of these sick newborns and make necessary adjustments.…”

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confidence: 99%

Immediate Outcomes of Neonatal Transport in a Tertiary Hospital in South-West of Nigeria

Olukemi

2020

GJPNC

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Neonatal morbidity and mortality continue to be major public health burden in developing countries despite the availability of proven cost-effective interventions for addressing it [1]. By the end of 2015, global neonatal mortality rates (NMR) had not reduced as much as under-five mortality rates and the need for 13 nations including Nigeria to accelerate the reduction in neonatal mortality rate in order to achieve 12 per 1000 live births by 2030 in line with the SDGs has been identified [2]. The need to strengthen community and facility newborn care services to achieve this cannot be overemphasized. It has been shown that poor pre-transport and intra-transport care is associated with early neonatal morbidity and mortality [3]. Serious neonatal morbidity such as hypothermia, hyperthermia and hypoglycaemia may result from poor transportation and inadequate care resulting in increased risk of neonatal mortality [4,5]. Furthermore, only about 36% of births take place in health

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Comparison of Neonatal Transport Scoring Systems and Transport-Related Mortality Score for Predicting Neonatal Mortality Risk

Cited by 7 publications

References 12 publications

Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme

Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme

Assessment of the predictive value of the NTISS scale for neonatal outcomes

Immediate Outcomes of Neonatal Transport in a Tertiary Hospital in South-West of Nigeria

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