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[Predicting the occurrence of severe intraventricular hemorrhages and ways to prevent their development in preterm
Olena M Kovalova1, Valeriy I Pokhylko1, Andrey I Bielorus2
1Ukrainian Medical Stomatological Academy, Poltava, Ukraine.
Insights
This study developed a bundle to predict and prevent severe intraventricular hemorrhages (IVH) in preterm infants. Implementing this bundle significantly reduced IVH incidence and associated disabilities in newborns.
Area of Science:
- Neonatology
- Pediatric Neurology
- Public Health
Background:
- Severe intraventricular hemorrhages (IVH) pose significant risks to preterm infants, leading to neurological impairment and mortality.
- Effective prevention strategies are crucial for improving outcomes in high-risk neonates.
Purpose of the Study:
- To develop and evaluate an algorithm for identifying high-risk preterm infants for IVH.
- To create and implement a prevention bundle to reduce the incidence of severe IVH in preterm infants.
Main Methods:
- A multicenter study involving 117 preterm infants (2013-2016).
- Analysis of risk factors including gestational age, resuscitation methods, and leukocyte count.
- Implementation of a multidisciplinary prevention bundle including checklists and risk identification algorithms.
Main Results:
- Significant risk factors for severe IVH identified: low gestational age, anhydrous period <24 hours, 0.9% sodium chloride infusion, arterial hypertension episodes, and high leukocyte count.
- The prevention bundle reduced IVH incidence from 18.9% to 11.4% (p=0.038).
- Disability rates decreased from 9.6% to 2.4% (p=0.046) after bundle implementation.
Conclusions:
- The developed bundle is an effective tool for preventing severe intraventricular hemorrhages in preterm infants.
- Multidisciplinary collaboration and risk stratification are key to reducing IVH and subsequent disabilities.
Objective:
Introduction: Severe intraventricular hemorrhages (IVH) in preterm infants are one of the major public health problems, as they can cause neurological and cognitive impairment, as well as lethal outcomes. The aim: To prevent the development of IVH in preterm infants by developing an algorithm for identification of high risk infants and a bundle for the prediction and prevention of this pathology.
Patients And Methods:
Materials and methods: A multicenter study (2013-2016) was conducted, which included 117 premature babies who were on treatment in 4 medical institutions in the Poltava region (Ukraine). The group of children with severe IVH included 76 children (weight 1037.8 ± 43.7 g, gestational age (GA) 27.1 ± 0.27 weeks; girls 36/47, 37 %), with IVH III-IV st. by Papile L.A. The comparison group consisted of 41 children (weight 1758 ± 59.8, GA 32.1 ± 0.30 weeks, girls 15/38, 46 %) without IVH. The effectiveness of a bundle for the prediction and prevention severe IVH was studied in the Poltava Regional Perinatal Center (high level, 2000 births per year) during 2014 - 2017.
Results:
Results: The significant risk factors due to multiple regression logistic analysis are: gestational age (OR =0.28, р=0.000), anhydrous period less than 24 hours (OR =83,29; р=0.020), infusion of 0.9% sodium chloride solution during primary resuscitation (OR =16.73; р=0.042), episodes of arterial hypertension (OR =32.3; р=0.026), the number of leukocytes is ≥15x109/l at birth (OR=17.6; р=0.028). After the implementation of the Bundle, which included: an interdisciplinary check-list (between the obstetrician and the neonatologist), the algorithm for identifying children with high risk of IVH, a check-list for monitoring of the state of the child immediately after birth and an interprofessional check-list (between the doctor and the nurse), the IVH incidence decreased from 18.9 % to 11.4 %, p = 0.038, and the disability from 9.6 % to 2.4 %, p = 0.046.
Conclusion:
Conclusions: The Bundle is an effective tool for preventing of severe IVH in preterm infants.
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