Post-transport TOPS score as a predictive marker of mortality among transported neonates and its comparative analysis with SNAP-II PE

Neonatal transport practices and effectiveness of the use of low-cost interventions on outcomes of transported neonates in Sub-Saharan Africa: A systematic review and narrative synthesis

Background and Aims

Neonatal deaths contribute significantly to under-5 mortality worldwide with Sub-Saharan Africa (SSA) alone accounting for 43% of global newborn deaths. Significant challenges in the region's health systems evidenced by huge disparities in health facility deliveries and poor planning for preterm births are major contributors to the high neonatal mortality. Many neonates in the region are delivered in suboptimal conditions and require transportation to facilities equipped for specialized care. This review describes neonatal transport across the subregion, focusing on low-cost interventions employed.

Methods

We conducted a systematic review of studies on neonatal transport in SSA followed by a narrative synthesis. A search in the databases CINAHL, EMBASE, MEDLINE, Web of Science, African Index Medicus, and Google Scholar was performed from inception to March 2023. Two authors reviewed the full texts of relevant studies to determine eligibility for inclusion which was subsequently cross-checked by a third reviewer using a random 30% overlay. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool.

Results

A total of 20 studies were included in this review involving 11,895 neonates from 10 countries. All studies evaluated the transfer of neonates into referral centers from the peripheries. Most neonates were transferred by public transport (n = 12), mostly in the arms of caregivers with little communication between referring facilities. Studies reporting on ambulance transfers reported pervasive inadequacies in both human resources and transport equipment. No study reported on the use of Kangaroo mother care (KMC) in the transfer process.

Conclusions

The neonatal transport system across the SSA region is poorly planned, poorly resourced, and executed with little communication between facilities. Using cost-effective measures like KMC and improved training of community health workers may be key to improving the outcomes of transported neonates.

Identification of the Best Predictive Model for Mortality in Outborn Neonates-Retrospective Cohort Study

BACKGROUND

Transportation of sick newborns is a major predictor of outcome. Prompt identification of the sickest newborns allows adequate intervention and outcome optimization. An optimal scoring system has not yet been identified.

AIM

To identify a rapid, accurate, and easy-to-perform score predictive for neonatal mortality in outborn neonates.

MATERIAL AND METHODS

All neonates admitted by transfer in a level III regional neonatal unit between 1 January 2015 and 31 December 2021 were included. Infants with congenital critical abnormalities were excluded (N = 15). Gestational age (GA), birth weight (BW), Apgar score, place of birth, time between delivery and admission (AT), early onset sepsis, and sick neonatal score (SNS) were collected from medical records and tested for their association with mortality, including in subgroups (preterm vs. term infants); GA, BW, and AT were used to develop MSNS-AT score, to improve mortality prediction. The main outcome was all-cause mortality prediction. Univariable and multivariable analysis, including Cox regression, were performed, and odds ratio and hazard ratios were calculated were appropriate.

RESULTS

418 infants were included; 217/403 infants were born prematurely (53.8%), and 20 died (4.96%). Compared with the survivors, the non-survivors had lower GA, BW, and SNS scores (p < 0.05); only the SNS scores remained lower in the subgroup analysis. Time to admission was associated with an increased mortality rate in the whole group and preterm infants (p < 0.05). In multiple Cox regression models, a cut-off value of MSNS-AT score ≤ 10 was more precise in predicting mortality as compared with SNS (AUC 0.735 vs. 0.775) in the entire group and in the preterm infants group (AUC 0.885 vs. 0.810).

CONCLUSIONS

The new MSNS-AT score significantly improved mortality prediction at admission in the whole study group and in preterm infants as compared with the SNS score, suggesting that, besides GA and BW, AT may be decisive for the outcome of outborn preterm infants.