Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

Identification of Inflammatory Mediators in Saliva Samples From Hospitalized Newborns: Potential Biomarkers?

Saliva measurements serve as a noninvasive tool for clinically monitoring newborns (NB) and children, a vulnerable population with promising potential for both research and clinical practice. Saliva acts as a repository for various inflammatory biomarkers involved in diverse biological functions. Particularly for children, it offers numerous advantages when compared to plasma and urine sampling. Nevertheless, there is a significant knowledge gap regarding detectable levels of cytokines in the saliva of newborns and children, as well as studies aiming to assess the relationship of this content with physiological and pathological processes.

OBJECTIVES

To characterize the levels of 11 inflammatory mediators (IFNg, IL1b, IL2, IL4, IL6, IL8, IL10, IL12, IL17, TNF, and VEGF) in saliva samples from NB on the first and second day of hospitalization in the Neonatal Intensive Care Unit (NICU).

METHOD

Exploratory study, descriptive, nested within a primary clinical, observational, and prospective study, conducted in the NICU of a public hospital in São Paulo, Brazil. Demographic data and vital signs were recorded in the clinical records of 90 NB, and five saliva samples from 5 NB were collected between the first and second day of life (D1-D2) at approximately 8-hr intervals (8-9 am, 4-5 pm, and 11-12 pm). Saliva samples were used for the measurement of 11 cytokines (IFNg, IL1b, IL2, IL4, IL6, IL8, IL10, IL12, IL17, TNF, and VEGF).

RESULTS

Five NBs participated in this exploratory study, and the vital signs showed variability from the first (D1) to the second day (D2) of hospitalization, variability similar to that of the total population of the primary study. The presence and levels of the 11 cytokines were detected in the saliva samples, as well as a statistical correlation between 10 cytokines (IFNg, IL1b, IL2, IL4, IL6, IL10, IL12, IL17, TNF, and VEGF) and vital signs.

CONCLUSIONS

The novelty of measuring inflammatory mediators in saliva samples from hospitalized NBs in the NICU is highlighted, providing support and new perspectives for the development of clinical and experimental research and an opportunity for developing and implementing new salivary biomarkers in different population segments.

Global, Regional and National Trends in the Burden of Neonatal Respiratory Failure and essentials of its diagnosis and management from 1992 to 2022: a scoping review

Neonatal respiratory failure (NRF) is an emergency which has not been examined extensively. We critically synthesized the contemporary in-hospital prevalence, mortality rate, predictors, aetiologies, diagnosis and management of NRF to better formulate measures to curb its burden. We searched MEDLINE and Google Scholar from 01/01/1992 to 31/12/2022 for relevant publications. We identified 237 papers from 58 high-income and low-and middle-income countries (LMICs). NRF prevalence ranged from 0.64 to 88.4% with some heterogeneity. The prevalence was highest in Africa, the Middle East and Asia. Globally as well as in Asia and the Americas, respiratory distress syndrome (RDS) was the leading aetiology of NRF. Neonatal sepsis was first aetiology in Africa, whereas in both Europe and the Middle East it was transient tachypnoea of the newborn. Independent predictors of NRF were prematurity, male gender, ethnicity, low/high birth weight, young/advanced maternal age, primiparity/multiparity, maternal smoking, pregestational/gestational diabetes mellitus, infectious anamneses, antepartum haemorrhage, gestational hypertensive disorders, multiple pregnancy, caesarean delivery, antenatal drugs, foetal distress, APGAR score, meconium-stained amniotic fluid and poor pregnancy follow-up. The NRF-related in-hospital mortality rate was 0.21-57.3%, highest in Africa, Asia and the Middle East. This death toll was primarily due to RDS globally and in all regions. Clinical evaluation using the Silverman-Anderson score was widely used and reliable. Initial resuscitation followed by specific management was the common clinical practice.

CONCLUSION

NRF has a high burden globally, driven by RDS, especially in LIMCs where more aggressive treatment and innovations, preferably subsidized, are warranted to curb its alarming burden.

WHAT IS KNOWN

• Neonatal respiratory failure is a frequent emergency associated with a significant morbidity and mortality, yet there is no comprehensive research paper summarizing its global burden. • Neonatal respiratory failure needs prompt diagnosis and treatment geared at improving neonatal survival.

WHAT IS NEW

• Neonatal respiratory failure has an alarmingly high global burden largely attributed to Respiratory distress syndrome. Low resource settings are disproportionately affected by the burden of neonatal respiratory failure. • Independent preditors of neonatal respiratory failure are several but can be classified into foetal, maternal and obstetrical factors. An illustrative pedagogical algorithm is provided to facilitate diagnosis and management of neonatal respiratory failure by healthcare providers.

Incidence and predictors of respiratory distress syndrome among low birth weight neonates in the first seven days in Northwest Ethiopia Comprehensive Specialized Hospitals, 2023: A retrospective follow-up study

INTRODUCTION

Respiratory distress syndrome is a catastrophic respiratory problem among low birth weight neonates. It increases the suffering of neonates and the economic expenditure of the countries. Notably, it is a major public health issue in low-income and middle-income countries such as Ethiopia. Despite this, studies regarding respiratory distress syndrome among low birth weight neonates were limited in Ethiopia.

OBJECTIVE

To assess the incidence and predictors of respiratory distress syndrome among low birth weight neonates in the first 7 days in Northwest Ethiopia Comprehensive Specialized Hospitals.

METHOD

Multicentred institution-based retrospective follow-up study was conducted from 19 September 2021 to 1 January 2023, among 423 low birthweight neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.6. and analysed using STATA V.14. The Kaplan-Meier failure curve and log-rank test were employed. Bivariable and multivariable Weibull regression was carried out to identify predictors of respiratory distress syndrome. Statistical significance was declared at a p≤0.05.

RESULT

The incidence rate of respiratory distress syndrome was found to be 10.78 (95% CI 9.35 to 12.42) per 100 neonate days. Fifth minute Appearance, Pulse, Grimace, Activity, Respiration (APGAR score) <7 (AHR 1.86; 95% CI 1.18 to 2.92), multiple pregnancy (AHR 1.43; 95% CI 1.04 to 1.96), caesarean section delivery (AHR 0.62; 95% CI 0.41 to 0.93), prematurity (AHR 1.56; 95% CI 1.06 to 2.30) and birth weight <1000 g (AHR 3.14; 95% CI 1.81 to 5.40) and 1000-1499 g (AHR 2.06; 95% CI 1.42 to 2.83) were significant predictors.

CONCLUSION

The incidence of respiratory distress syndrome was higher than other studies conducted on other groups of neonates. Multiple pregnancy, fifth minute APGAR score, caesarean section, prematurity, extremely low birth weight and very low birth weight were predictors of respiratory distress syndrome. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention for these predictors.

Prevalence and factors associated with neonatal acute respiratory distress syndrome among neonates admitted to the neonatal intensive care units of Gurage zone public hospital, South West Ethiopia

Background

Respiratory distress syndrome (RDS) is the leading cause of respiratory failure and death of a neonate in today's world, especially in developing countries like Ethiopia.

Methods

We used an institutional-based cross-sectional study in the selected hospitals of the Gurage zone admitted from June 2019 to June 2021. The data were collected using a structured questionnaire. Data were entered into Epi data 3.1 and exported to SPSS version 25 for analysis.

Result

The prevalence of respiratory distress syndrome (RDS) in the study area was 45.1%. The odds of RDS in neonates from mothers with gestational age between 35 &37 were 3.99 times higher compared to term gestation. The odds of RDS among neonates with jaundice and sepsis are 4.33- and 1.92-times higher odds compared to their counterparts. The odds of RDS in neonates born via Caesarean section were 1.7 times higher compared with those delivered via spontaneous and instrumental delivery. RDS was also higher in neonates born to mothers <20 years of age and >=35 years old.

Conclusion

the prevalence of RDS in the study area was high. Thus, healthcare providers should act on those factors with appropriate follow-up for early detection of the problem and prevent the risk.

Comparing the clinical and economic efficiency of four natural surfactants in treating infants with respiratory distress syndrome

Surfactant therapy has revolutionized the treatment of respiratory distress syndrome (RDS) over the past few decades. Relying on a new method, the current research seeks to compare four common surfactants in the health market of Iran to determine the best surfactant according to the selected criteria. The research was a cross-sectional, retrospective study that used the data of 13,169 infants as recorded on the information system of the Iranian Ministry of Health. To rank the surfactants used, the following indicators were measured: re-dosing rate, average direct treatment cost, average length of stay, disease burden, need for invasive mechanical ventilation, survival at discharge, and medical referrals. The CRITIC (criteria importance through intercriteria correlation) method was used to determine the weight of the indicators, and MABAC (multi-attributive border approximation area comparison) was used to prioritize the surfactants. Based on the seven selected indicators in this research (re-dosing rate, average length of stay, direct medical cost per one prescription, medical referral rate, survival at discharge, disability-adjusted life years, number of newborns in need of invasive mechanical ventilation) and using multi-criteria analysis method, Alveofact was identified as the worst surfactant in infants with either more or less than 32 weeks' gestation. So that some criteria were worse in Alveofact group infants than other groups; for example, in the comparison of the Alveofact group with the average of the total population, it was found that the survival rate at discharge was 57.14% versus 66.43%, and the rate of re-dosing was 1.63 versus 1.39. BLES (bovine lipid extract surfactant) was the best alternative for infants more than 32 weeks' gestation, whereas Survanta was identified as best option for infants with less than 32 weeks' gestation. Curosurf showed an average level of functionality in the ranking. This study advises the policy makers in the field of neonatal health to increase the market share of more effective surfactants based on this study and other similar studies. On the other hand, neonatal health care providers are also advised to prioritize the use of more effective surfactants if possible, depending on the clinical conditions and desired improvements.

Efficacy and safety of surfactant administration by MIST and INSURE techniques in Neonates with Respiratory Distress Syndrome: A randomized controlled trial

Objective

To measure the efficacy and safety of surfactant administered by MIST and INSURE to neonates with respiratory distress syndrome.

Methods

A randomized controlled trial was conducted from June 2021 to August 2022 at the NICU of the University of Child Health Sciences, Lahore. Neonates meeting inclusion criteria i.e with RDS who worsened on nasal Continuous positive airway pressure (nCPAP) (fiO2 30%, pressure 6cmH2O) were enrolled in the study in both interventional arms (MIST, n=36 and INSURE, n=36) using simple random sampling. Data was analysed using SPSS 25.

Results

The mean age of neonates in MIST was 1.27±0.40 days and 1.23±0.48 days in INSURE cohort. Neonates with MIST (n=8) required statistically significant reduced need for IMV than INSURE (n=17) technique (P-Value 0.047). This study could not achieve significant difference in duration of mechanical ventilation (1±1.67; 1.52±1.40 days, P=0.152) and duration of nCPAP (3.27±1.65;3.67±1.64 hrs, P=0.312) in MIST versus INSURE. The second dose of surfactant was administered in fewer cases in MIST (n=2) than INSURE (n=7) (P=0.075). Risk estimation, although not significant, determined less likelihood for the pulmonary haemorrhage (0.908 than 1.095), intraventricular hemorrhage (0.657 than 1.353), administration of the second dose of surfactant (0.412 than 1.690) and greater likelihood of discharge (1.082 than 0.270) at 95% confidence interval with MIST technique.

Conclusion

Surfactant therapy through MIST is effective and there is significantly reduced need of IMV than in INSURE. Safety profile though could not achieve statistical significance yet determines less risk of complications associated with MIST than INSURE.RCT Registration Number: TCTR20210627001.

Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

BACKGROUND

One of the major factors contributing to newborn morbidity and mortality across the globe is respiratory distress. In resource-constrained developing nations like Ethiopia, it is a significant issue. Depending on the quality of the care provided, the incidence and time to recovery may differ amongst medical facilities. However, Ethiopia still lacks appropriate data on the incidence and time to recovery from respiratory distress.

OBJECTIVE

The aim of the study was to assess the incidence, time to recovery, and predictors among neonates admitted with respiratory distress in the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital.

METHODS

An institution-based retrospective follow-up study design was conducted among 452 neonates with respiratory distress. Data were collected using a data extraction checklist from the medical registry. The extracted data were entered into EPI INFO version 7.2.1.0 and then exported to STATA version 14 for analysis. The median time to recovery, the Kaplan Meier curve, and the log-rank test was computed. Both bi-variable and multivariable Cox regression models were applied to analyze the data. p-value ≤ 0.05 was considered statistically significant.

RESULTS

Of all respiratory distressed neonate,311 were recovered. The overall incidence rate of neonates admitted with from respiratory distress was 11.5 per 100-neonate day (95% CI: 10.30-12. 87) with 2,703-person day observation and the median time to recovery from respiratory distress was 7 days with (IQR = 3-13 days). Predictors of time to recovery from respiratory distress were very low birth weight (AHR = 0.17, 95% CI: 0.08-0.41), low birth weight (AHR = 0.50, 95% CI: 0.31-0.81), very preterm (AHR = 0.42,95% CI:0.20-0.89), sepsis (AHR = 0.50 95% CI: 0.38-0.65), hypothermia (AHR = 0.61, 95% CI: 0.39-0.81), and Apgar scores less than seven at first (AHR = 0.35, 95% CI: 0.15-0.79) and fifth minute (AHR = 0.45, 95% CI: 0.20-0.97).

CONCLUSION

The incidence and time to recovery in this study were discreetly acceptable as compared to previous study. The aforementioned predictors could be used to identify neonates with respiratory distress who are at risk of developing a long-term illness and guide prompt referral to hospitals. This will also provide clinicians with prognostic information, as longer recovery times have economic and social implications in resource limited countries like Ethiopia.

Evaluation of Genetic Polymorphisms of the Antioxidant Enzymes and Biomarkers of Oxidative Stress in Preterm Neonates With Respiratory Distress Syndrome Receiving External Surfactant

Background:

Preterm neonates, particularly extremely preterm, are susceptible to respiratory distress syndrome (RDS) due to surfactant deficiency. Single nucleotide polymorphisms (SNPs) in the antioxidant enzymes influence the balance between antioxidant and oxidative stress molecules.

Objectives:

To ascertain the role of SNPs of antioxidant enzymes and oxidative stress biomarkers in preterm neonates with RDS.

Design:

Observational, cross-sectional study.

Methods:

Preterm neonates diagnosed with RDS receiving external surfactant within 24 hours were considered as the cases and those without RDS were the control group. Umbilical cord blood and peripheral blood samples before administering surfactant (day 1), and on days 2 and 3 were collected. Plasma malondialdehyde, 8-hydroxy-2-deoxy guanosine (8-OH-dG), advanced oxidation protein products (AOPP), total antioxidant capacity (TAC), visfatin, reduced glutathione, and chaperonin 60 were evaluated using enzyme-linked immunosorbent assay. SNPs in manganese superoxide dismutase (MnSOD), copper/zinc superoxide dismutase (Cu/Zn SOD), glutathione peroxidase (GPX1 and GPX3), catalase (CAT), glutathione S-transferase (GSTP1) were evaluated using real-time polymerase-chain-reaction. The receiver-operating characteristics curve was used for predicting the accuracy of biomarkers using the area under the curve (AUC) and 95% confidence intervals (95% CI).

Results:

GSTP1, MnSOD, and eNOS (rs1799983) SNPs were observed to significantly influence the oxidative biomarker concentrations in the entire study population. SNPs in GSTP1, MnSOD, and eNOS (rs1799983) were significantly associated with differences in oxidative stress biomarkers. MnSOD (rs4880) significantly increased the risk of pulmonary complications in neonates with RDS. DNA damage product (8-OH-dG) concentrations before surfactant administration has the best predictive accuracy (AUC: 0.8; 95% CI: 0.7-1; P = .001) for pulmonary complications with a cut-off value of 5008.8 pg/mL. TAC concentrations are significantly greater on day 2 and day 3 amongst neonates receiving surfactant compared to the control group. AOPP in the umbilical cord blood was observed to significantly predict the severity of RDS (AUC: 0.8; 95% CI: 0.6-1; P = .01) with an optimal cut-off value of 88.78 µmol/L.

Conclusion:

We observed that SNPs in eNOS and MnSOD significantly influence the production of oxidative stress biomarkers in preterm neonates. Baseline 8-OH-dG concentrations best predict the risk of pulmonary complications and AOPP concentrations in the umbilical cord blood predict the risk of RDS severity.

Adverse Neonatal Outcome are More Common among Babies Born by Cesarean Section than Naturally Born Babies at Public Hospitals in Eastern Ethiopia: A Comparative Prospective Follow-Up Study at Eastern Ethiopia

The adverse neonatal outcome is defined as the presence of birth asphyxia, respiratory distress, birth trauma, hypothermia, meconium aspiration syndrome, neonatal intensive care admission, and neonatal death. It is a major concern in developing countries, including Ethiopia. This study tried to identify predictors of adverse neonatal outcomes at selected public hospitals in Eastern Ethiopia. A hospital-based prospective follow-up study was conducted in three public hospitals in Eastern Ethiopia from June to October 2020. A total of 2,246 laboring women and neonates born at the hospitals were enrolled in the study. Data were collected through interviews, observation checklists, and clinical chart review. Reports were presented in relative risks with 95% CIs. The overall magnitude of adverse neonatal outcome was 20.97% (95% CI: 19.33- 22.71%). It was 24.3% for babies born through cesarean section (95% CI: 21.3%, 27.5). The presence of meconium in the amniotic fluid increased the risk for neonates delivered via cesarean section (ARR, 1.52 95% CI; 1.04, 2.22). Among neonates born via vaginal delivery, the risk of adverse neonatal outcome was higher among nullipara women (ARR, 1.42 95% CI; 1.02, 1.99) and among women diagnosed with abnormal labor or pregnancy such as APH, pre-eclampsia, obstructed labor, fetal distress, and mal-presentation at admission (ARR, 1.30 95%CI; 1.01, 1.67). The risk of adverse neonatal outcome was higher among babies born through the cesarian section than those born via vaginal delivery. Abnormal labor or pregnancy and being primiparous increased the risk of adverse neonatal outcome in vaginal delivery.

The burden of hyaline membrane disease, mortality and its determinant factors among preterm neonates admitted at Debre Tabor General Hospital, North Central Ethiopia: A retrospective follow up study

BACKGROUND

Hyaline membrane disease (HMD) is a leading cause of morbidity and mortality in preterm newborn babies. Though, there are studies related to Hyaline membrane disease inclusive of all neonates, studies related to the burden among preterm neonates were limited. In addition, increasing neonatal mortality in Ethiopia could be related to increase in the burden of hyaline membrane disease among preterm neonates. Therefore, this study was aimed to assess the burden of hyaline membrane disease, mortality and its associated factors among preterm neonate admitted at neonatal intensive care unit, North Central Ethiopia.

METHODOLOGY

An institution-based retrospective follow-up study was conducted among 535 preterm neonates admitted at neonatal intensive care unit from January 1, 2014-December 30, 2017. Data were entered into EPi-data 4.2.0.0 and transferred to STATA version 14 statistical software for statistical analysis. Binary logistic regression was used for the analysis. All variables with P-value < 0.25 during bi-variable analysis were considered for multivariable logistic regression. Level of statistical significance was declared at P value ≤0.05.

RESULTS

In the current study, proportion of hyaline membrane disease was 40% (95% CI; 35.8, 44.3) of which 49.5% died. Preterm neonate born with Gestational age of less than 34 weeks of age (Adjusted odd ratio (AOR = 2.64; 95 CI: 1.49, 4.66)), 5th minute Apgar score less than 7 (AOR = 2.2; 95% CI: 1.20, 4.07), and newborn with birth weight of less than 1500 gram (AOR = 2.4, 95% CI: 1.3, 4.3) were predictors of hyaline membrane disease.

CONCLUSIONS

The mean gestational age (±) was 33.46 (±2.55) weeks. The incidence of hyaline membrane disease among preterm admissions was high. Preterm neonate born with gestational age of less than 34 weeks of age, asphyxiated newborns and newborn with birth weight of less than 1500 gram were predictors of hyaline membrane disease. So, emphasis should be given on early screening, follow up and timely interventions for preterm neonate.