Prevalence of Neonatal Sepsis in Ethiopia: A Systematic Review and Meta-Analysis

Breast problems and associated factors among lactating women in Northeast Ethiopia, 2022

Breastfeeding is the cornerstone of child and maternal health. However, maternal breast problems during breastfeeding have been frequently reported as one of the reasons for early discontinuation of breastfeeding. Despite the importance of having knowledge on breast problems magnitude and its associated factors in the clinical practices and designing effective interventions, there is limited data on this topic. Therefore, this study aimed to assess the prevalence and associated factors of breast problem among postnatal lactating women in Legambo district, south wollo zone, North East Ethiopia, in 2022. A community-based cross sectional study was conducted among 610 lactating mothers in Legambo district. Multi-stage sampling was employed to select study participants. Interviewer administered, WHO B-R-E-A-S-T-Feeding, observational checklist and maternal self-reported breast problem questionnaires were used to collect the data. Epi-Data version 3.1 was used for data entry and export to SPSS version 25.0 for analysis. Descriptive statistics and bi-variable and multivariable analysis was carried out. On the multivariable logistic regression, variables with p-value < 0.5 were considered as they had statistically significant association with breast problem. The overall prevalence of breast problems among postnatal lactating women was 54.3% (95%, CI 49.3-59.3%). Primipara (AOR = 5.09; 95% CI 3.40-7.62), preterm infant (AOR = 2.12; 95% CI 1.22-3.66), home delivery (AOR = 3.67; 95% CI 1.62-8.30), ineffective breastfeeding techniques (AOR = 2.45; 95%CI 1.61-3.74), caesarean section delivery (AOR = 2.05;95%CI :1.15-3.64) and mixed type of feeding (AOR = 1.97:95%CI 1.34-2.89) were factors showed significant association. The prevalence of breast problems was 54.3%. Relevant factors related to an increase risks are being primipara, cesarean section delivery, home delivery, preterm birth, ineffective breastfeeding techniques and mixed type of feeding.

Neonatal sepsis and its predictors in Ethiopia: umbrella reviews of a systematic review and meta-analysis, 2023

Background

Although neonatal sepsis is acknowledged as the primary cause of newborn death in Ethiopia, data on its impact at the national level are limited. Strong supporting data are required to demonstrate how this affects neonatal health. This umbrella study was conducted to determine the overall prevalence of newborn sepsis and its relationship with maternal and neonatal factors.

Methods

This umbrella review included five articles from various databases. The AMSTAR-2 method was used to assess the quality of included systematic review and meta-analysis studies. STATA Version 18 software was used for statistical analysis. A random-effects model was used to estimate the overall effects.

Results

In this umbrella review, 9032 neonates with an outcome of interest were included. The overall pooled prevalence of neonatal sepsis was 45% (95% CI: 39-51%; I2=99.34). The overall pooled effect size showed that prematurity was significantly associated with neonatal sepsis [odds ratio=3.11 (95% CI: 2.22-3.99)]. Furthermore, maternal factors are strongly associated with neonatal sepsis.

Conclusions

Nearly half of Ethiopian neonates are affected by neonatal sepsis. It is critical to reduce premature birth, low birth weight, and preterm membrane rupture to reduce the incidence of neonatal sepsis. Furthermore, it is preferable to design and strengthen policies and programs aimed at improving maternal nutritional status and treating maternal infections, which all contribute to lowering the burden of neonatal sepsis.

Time to recovery from neonatal sepsis and its determinants among neonates admitted in Woldia comprehensive specialized hospital, Northeast Ethiopia: a retrospective cohort study

Background

Neonatal sepsis is the most serious problem in neonates. It is the leading cause of neonatal death in developing countries, particularly in sub-Saharan Africa. The Ethiopian 2016 Demographic Health Survey report revealed that a high number of neonatal deaths are associated with neonatal sepsis. However, limited studies are available on exposure and time to recovery inferences in Ethiopia. Therefore, this study aimed to assess the time to recovery from neonatal sepsis and its determinants among neonates admitted to Woldia Comprehensive Specialized Hospital (WCSH), Northeast Ethiopia.

Methods

A retrospective cohort study was conducted, including 351 neonates, using systematic random sampling at WCSH from 7 to 30 March 2023. The data were entered into Epi data version 4.6 and exported to STATA 14 for analysis. Cox regression was used to identify the determinants of time to recovery from neonatal sepsis, and a variable with a p-value of less than 0.05, was used to declare significant association at a 95% confidence interval.

Result

Among 351 neonates with sepsis, 276 (78.63%) recovered, and the median time to recovery was 6 days. Induced labor (AHR = 0.54, 95% CI: 0.369, 0.78) and resuscitation at birth (AHR = 0.7, 95% CI: 0.51, 0.974) were significantly associated with the recovery time of neonatal sepsis.

Conclusions and recommendation

The time to recovery from neonatal sepsis is comparable to previous studies' results. The 25th and 75th percentiles were 4 and 8 days, respectively. Health professionals working in the NICU need to pay special attention to neonates born from mothers who had induced labor and those who were resuscitated at birth.

Prevalence and factors associated with maternal and neonatal sepsis in sub-Saharan Africa: a systematic review and meta-analysis

Objectives

This study aimed to determine the prevalence and factors associated with maternal and neonatal sepsis in sub-Saharan Africa.

Methods

This systematic review and meta-analysis used the PRISMA guideline on sepsis data in sub-Saharan Africa. The bibliographic search was carried out on the following databases: Medline/PubMed, Cochrane Library, African Index Medicus, and Google Scholar. Additionally, the reference lists of the included studies were screened for potentially relevant studies. The last search was conducted on 15 October 2022. The Joanna Briggs Institute quality assessment checklist was applied for critical appraisal. Estimates of the prevalence of maternal and neonatal sepsis were pooled using a random-effects meta-analysis model. Heterogeneity between studies was estimated using the Q statistic and the I2 statistic. The funnel plot and Egger's regression test were used to assess the publication bias.

Results

A total of 39 studies were included in our review: 32 studies on neonatal sepsis and 7 studies on maternal sepsis. The overall pooled prevalence of maternal and neonatal sepsis in Sub-Saharan Africa was 19.21% (95% CI, 11.46-26.97) and 36.02% (CI: 26.68-45.36), respectively. The meta-analyses revealed that Apgar score < 7 (OR: 2.4, 95% CI: 1.6-3.5), meconium in the amniotic fluid (OR: 2.9, 95% CI: 1.8-4.5), prolonged rupture of membranes >12 h (OR: 2.8, 95% CI: 1.9-4.1), male sex (OR: 1.2, 95% CI: 1.1-1.4), intrapartum fever (OR: 2.4, 95% CI: 1.5-3.7), and history of urinary tract infection in the mother (OR: 2.7, 95% CI: 1.4-5.2) are factors associated with neonatal sepsis. Rural residence (OR: 2.3, 95% CI: 1.01-10.9), parity (OR: 0.5, 95% CI: 0.3-0.7), prolonged labor (OR: 3.4, 95% CI: 1.6-6.9), and multiple digital vaginal examinations (OR: 4.4, 95% CI: 1.3-14.3) were significantly associated with maternal sepsis.

Conclusion

The prevalence of maternal and neonatal sepsis was high in sub-Saharan Africa. Multiple factors associated with neonatal and maternal sepsis were identified. These factors could help in the prevention and development of strategies to combat maternal and neonatal sepsis. Given the high risk of bias and high heterogeneity, further high-quality research is needed in the sub-Saharan African context, including a meta-analysis of individual data.Systematic review registration: PROSPERO (ID: CRD42022382050).

Prevalence and antibiotic resistance pattern of bacteria from sepsis suspected neonates at St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia

BACKGROUND

Neonatal sepsis is the major cause of neonatal mortality and morbidity, especially in low and middle-income countries. Continuous monitoring of pathogens and their antibiotic resistance pattern is crucial for managing neonatal sepsis. This study aimed to determine neonatal sepsis due to bacteria, antibiotic resistance patterns, associated risk factors and patient outcomes at St. Paul's Hospital Millennium Medical College.

METHOD

An institutional-based cross-sectional study was conducted on 400 neonates suspected of sepsis at St. Paul's Hospital Millennium Medical College from March 2020 to July 2020. A questionnaire was used to collect socio-demographic information, clinical parameters and potential risk factors from study participants. About 2ml of blood was drawn aseptically and inoculated into Tryptone Soya Broth at the patient's bedside. Bacterial identification was performed by using standard microbiological techniques. The disk diffusion method was used to determine the antibiotic susceptibility patterns of each isolated bacteria. Data entry and analysis were done using Statistical Package for Social Sciences (SPSS) version 20 software. Bivariate and multivariable logistic regressions were used to assess associated risk factors of neonatal sepsis. A p-value less than 0.05 was considered statically significant with a 95% confidence interval.

RESULTS

The overall prevalence of neonatal septicemia was 21% (84/400). Of these, 67 (79.8%) and 17 (20.2%) were gram-negative and gram-positive bacteria, respectively. Klebsiella spp, 37 (44%), E. coli 19 (21.6%) and Coagulase negative Staphylococci 13 (15.47%) were the leading cause of neonatal sepsis. Ciprofloxacin and amikacin were the most effective antibiotics for gram-negative and gram-positive bacteria. Multidrug resistance was observed in 84% of the bacterial isolates. Low birth weight and preterm were associated with neonatal septicemia (AOR = 49.90, 95% CI = 15.14-123.081, P = 0.002) and (AOR = 18.20, 95% CI = 6.835-27.541, P = 0.004) respectively.

CONCLUSION

Klebsiella spp and E. coli were frequently isolated bacteria in our study. The proportion of multidrug-resistance was significantly high. Most isolated bacteria were resistant to ampicillin, ceftazidime, cefotaxime and gentamycin, which indicates the necessity of continuous evaluation of antibiotic resistance rate.

Prevalence and determinants of early onset neonatal sepsis at two selected public referral hospitals in the Northwest Ethiopia: a cross-sectional study

INTRODUCTION

Globally, neonatal mortality is decreasing, and road maps such as the Early Newborn Action Plan set ambitious targets for 2030. Despite this, deaths in the first weeks of life continue to rise as a percentage of total child mortality. Neonatal sepsis with early onset continues to be a significant cause of death and illness. The majority of sepsis-related deaths occur in developing nations, where the prevalence and causes of newborn sepsis are yet unknown. As a result, the goal of this study was to determine the prevalence of early-onset sepsis and identify determinant factors.

METHODS

A cross-sectional study was conducted on 368 study participants in referral hospitals of East and West Gojjam Zones from March 1^st to April 30^th, 2019. Study participants were selected at random using lottery method. Face-to-face interviews with index mothers for maternal variables and neonatal record review for neonatal variables were used to collect data using a structured pretested questionnaire. Data were entered into Epidata 3.1 and then exported to STATA/SE software version 14. Finally, the logistic regression model was used for analysis. Statistical significance was declared at P < 0.05 after multivariable logistic regression.

RESULTS

A total of 368 newborns and their index mothers took part in this study. The mean age of the newborns was 4.69 days (± 1.93SD). Early-onset neonatal sepsis was seen in 34% of the babies. Nulliparity (AOR: 3.3, 95% CI: 1.1-9.5), duration of labor > 18 h after rupture of membranes (AOR: 11.3, 95% CI: 3.0-41.8), gestational age of 32-37 weeks (AOR: 3.2, 95% CI: 1.2-8.5), and neonates who require resuscitation at birth (AOR: 4, 95% CI: 1.4 -11.8) were all found to be significantly associated with early-onset neonatal sepsis.

CONCLUSION AND RECOMMENDATION

Early-onset neonatal sepsis was found to be high in this study. Early-onset neonatal sepsis was found to be associated with maternal, obstetric, and neonatal variables. Comprehensive prevention strategies that target the identified risk factors should be implemented right away.

Prevalence and presentation of neonatal sepsis at a paediatric emergency department in Johannesburg, South Africa

Background

Despite a significant reduction in the prevalence of neonatal sepsis over the past three decades, the prevalence still remains high, especially in low- and middle-income countries. The aim of this study was to determine the prevalence and presenting features of neonatal sepsis at a paediatric emergency centre (PEC).

Methods

Medical records of all neonates presenting to an academic hospital PEC over a six-month period were analysed. Data was compared between neonates with and without sepsis. The odds ratio was calculated to determine factors associated with neonatal sepsis.

Results

Of the 210 neonates who were included, 43 (20.5%) were diagnosed with neonatal sepsis. Of these, 19 (44.2%) presented within the first 72 hours of life (early-onset neonatal sepsis) and 4 (9.3%) died prior to hospital discharge. A history of maternal employment (odds ratio (OR) 2.38, p=0.021), preterm birth (OR 3.24, p=0.019), low birth weight (<2.5kg) (OR 2.67, p=0.026), perinatal human immunodeficiency virus exposure (OR 3.35, p=0.002), not being breast fed (OR 4.36, p=0.001), and signs of lethargy (OR 14.01, p<0.001), dehydration (or 11.14, p<0.001), poor feeding (OR 7.20, p<0.001), irritability (OR 6.93, p<0.001), fever (OR 5.50, p<0.001), vomiting (OR 4.14, p<0.001) and respiratory distress (OR 4.12, p<0.001) were significantly associated with neonatal sepsis.

Conclusion

Among neonates presenting to the PEC, various clinical features on history and examination may be useful in predicting the diagnosis of neonatal sepsis. Clinicians working in the PEC must adopt a high index of suspicion when attending to neonates presenting with these features.

Bacterial etiology and risk factors among newborns suspected of sepsis at Hawassa, Ethiopia

Neonatal sepsis is a systemic infection that occurs at an early age. Its etiology varies from one region to the other. The contribution of sepsis to neonatal mortality and morbidity is significant in resource-limited countries; however, there is limited information about the etiology of sepsis in Sidama Regional State, Ethiopia. The aim of this study was to determine the prevalence of bacterial caused newborn sepsis, associated factors, and the antimicrobial susceptibility profile of bacteria. A hospital-based prospective cross-sectional study was conducted among 392 sepsis suspected newborns admitted to the neonatal intensive care unit of Hawassa University Comprehensive Specialized Hospital from March 2021 to November 2021. Blood specimens were collected and bacteria were isolated using the standard culture method. The drug resistance profile of bacteria was evaluated using the disk diffusion method. The socio-demographic and clinical parameters of participants were gathered using a questionnaire. Binary logistic regression was used to determine the determinants of sepsis. A variable with a p < 0.05 was considered a significant determinant of neonatal sepsis with a 95% confidence level. The prevalence of sepsis caused by bacteria among newborns was 143 (36.5%); 95% CI (31.3-41.4). The predominant bacteria was Klebsiella species (n = 61; 42.65%), followed by non-lactose fermenting Gram-negative bacteria (n = 27; 18.88%) and Enterococcus species (n = 26; 18.18%). The overall proportions of antimicrobial resistance of Gram-negative bacteria range from 10.2 to 99.1%. All Klebsiella species were resistant to ceftriaxone. Ppremature rupture of membrane [AOR = 12.7 (95% CI 6.430-25.106)], absence of respiratory support [AOR = 3.53 (95% CI 1.840-6.759)], sex of newborns [AOR = 2.10 (1.214-3.560)] and reason for admission [AOR = 3.17 (95% CI 1.278-7.859)] were significantly associated with culture-confirmed neonatal sepsis. This study indicated the contribution of bacteria in causing sepsis among newborns; the majority of them were Gram-negative bacteria. Most recovered bacteria were resistant to commonly used antibiotics. Pre-term, mode of delivery and types of respiratory support were significantly associated with the occurrence of sepsis caused by bacteria.

Clinical Prediction Model Development and Validation for the Detection of Newborn Sepsis, Diagnostic Research Protocol

BACKGROUND

Neonatal sepsis is a leading cause of sickness and death in the entire world. Diagnosis is usually difficult because of the nonspecific clinical symptoms and the paucity of laboratory diagnostics in many low- and middle-income nations (LMICs). Clinical prediction models may increase diagnostic precision and rationalize the use of antibiotics in neonatal facilities, which could lead to a decrease in antimicrobial resistance and better neonatal outcomes. Early detection of newborn sepsis is critical to prevent serious consequences and reduce the need for unneeded drugs.

OBJECTIVE

The aim is to develop and validate a clinical prediction model for the detection of newborn sepsis.

METHODS

A cross-sectional study based on an institution will be carried out. The sample size was determined by assuming 10 events per predictor, based on this assumption, the total sample sizes were 467. Data will be collected using a structured checklist through chart review. Data will be coded, inputted, and analyzed using R statistical programming language version 4.0.4 after being entered into Epidata version 3.02 and further processed and analyzed. Bivariable logistic regression will be done to identify the relationship between each predictor and neonatal sepsis. In a multivariable logistic regression model, significant factors (P< 0.05) will be kept, while variables with (P< 0.25) from the bivariable analysis will be added. By calculating the area under the ROC curve (discrimination) and the calibration plot (calibration), respectively, the model's accuracy and goodness of fit will be evaluated.

Hematological Abnormalities in Culture Positive Neonatal Sepsis

Background

In neonatal sepsis, anemia, leukocytosis, thrombocytopenia, and a shortened coagulation time are the most common hematologic abnormalities. However, there is inadequate information regarding the hematological abnormalities in neonatal sepsis. Thus, we aimed to determine the magnitude of hematological abnormalities in neonatal sepsis.

Methods

This is a cross-sectional study that included 143 neonates with culture proven sepsis aged 1–28 days from September 2020 to November 2021 at the University of Gondar Specialized Referral Hospital. The sociodemographic data was collected using a pre-tested structured questionnaire, and the clinical and laboratory data was collected using a data collection sheet. A total of 2 mL of venous blood was taken using a vacutainer collection device for the complete blood count (CBC) and blood culture analysis. A univariate and multivariate logistic regression model was used to investigate factors associated with hematological abnormalities in neonatal sepsis. Statistical significance was declared when a p-value was less than 0.05.

Results

The prevalence of anemia, thrombocytopenia, and leucopenia in neonatal sepsis was 49% (95% CI: 40.89–57.06), 44.7% (95% CI: 36.8–52.9), and 26.6% (95% CI: 22.01–29.40), respectively. On the other hand, leukocytosis and thrombocytosis were found in 7.7% (95% CI: 4.35–13.25) and 11.9% (95% CI: 7.56–18.21), respectively. Being female (AOR: 3.3; 95% CI: 1.20–3.82) and being aged less than 7 days (AOR: 2.44; 95% CI: 1.6–6.9) were found to be significant predictors of anemia.

Conclusion

The magnitude of anemia, leucopenia, and thrombocytopenia is high in neonatal sepsis. Furthermore, being female and being younger than 7 days were risk factors for anemia. Thus, the diagnosis and treatment of anemia, leucopenia, and thrombocytopenia prevents further complications in neonatal sepsis.

Incidence and Risk Factors of Thrombocytopenia in Neonates Admitted with Surgical Disorders to Neonatal Intensive Care Unit of Tikur Anbessa Specialized Hospital: A One-Year Observational Prospective Cohort Study from a Low-Income Country

BACKGROUND

Thrombocytopenia is one of the most common hematologic disorders affecting neonates admitted to the neonatal intensive care unit. The aim of this study was to determine the incidence and associated risk factors of neonatal thrombocytopenia in neonates admitted with surgical disorders.

METHODS

An observational prospective cohort study was conducted and all neonates admitted to neonatal intensive care unit of Tikur Anbessa Specialized Hospital with surgical disorders were included. Data were collected using a checklist and analyzed by SPSS version 23. Chi square test and independent sample t- test were used to assess the association among different variables.

RESULTS

A total of 210 neonates were included in the study, out of which 56.2% were males. The incidence of thrombocytopenia was 55.8%. Among neonates with thrombocytopenia, 90.9% had late onset thrombocytopenia and half were in the severe range (<50,000/µL). The presence of sepsis (P = 0.000) and atresia (P = 0.000) were found to be significantly associated with the development of thrombocytopenia. The mean non feeding hours were found to be significantly longer for patients with thrombocytopenia (t [199], 5.81, P = 0.000).

CONCLUSION

The incidence of thrombocytopenia is high in our institution. Prevention methods towards neonatal sepsis should be given due emphasis.

Determinants of Neonatal Sepsis among Neonates Admitted to Public Hospitals in Central Ethiopia: Unmatched Case-control Study

Background. Neonatal sepsis is the cause of substantial morbidity and mortality, mostly affecting the developing countries including Ethiopia. Previously conducted studies also highlighted the high prevalence of neonatal sepsis in Ethiopia. Therefore, this study was aimed at assessing the determinants of neonatal sepsis in the central Ethiopia. Method. Institution based un-matched case control study was conducted among 192 cases (neonates with sepsis) and 384 controls (without sepsis) in public hospitals in Central Ethiopia. The data were collected through face-to-face interview using structured questionnaire and extraction from maternal and neonatal charts. Binary logistic regression (bi-variable and multi-variable) model was fitted. Adjusted odds ratio with respect to 95% confidence interval was employed for the strength and directions of the association. Results. Younger maternal-age; 30 to 34 years (AOR = 0.41, 95%CI: 0.19-0.85) and 25 to 29 years (AOR = 0.38, 95%CI: 0.17-0.84), not having antenatal care (ANC) follow-ups (AOR = 1.89, 95%CI: 1.02-3.49), place of delivery; home (AOR = 12.6, 95%CI: 5.32-29.82) and health center (AOR = 2.74, 95%CI: 1.7, 4.41), prolonged duration of labor (AOR = 1.90, 95%CI: 1.22, 2.96), prolonged rupture of membrane 12 to 17 hours (AOR = 3.26, 95%CI: 1.46, 7.26) and ≥18 hours (AOR = 5.18, 95%CI: 1.98, 13.55) were maternal related determinants of neonatal sepsis. Whereas, prematurity (AOR = 2.74, 95%CI: 1.73, 4.36), being resuscitated (AOR = 1.93, 95%CI: 1.22, 3.06) and not having meconium aspiration syndrome (AOR = 2.55, 95%CI: 1.34, 4.83) were identified as neonatal related determinants of neonatal sepsis. Conclusion. Younger maternal age, not having antenatal care follow-up, home, and health center delivery, prolonged duration of labor, prolonged duration of rupture of membrane, prematurity, had resuscitation, and neonates without meconium aspiration syndrome were found to be determinants of neonatal sepsis. Therefore, the concerned stakeholders should consider those identified determinants during an intervention for improvement of neonatal health.

Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

Background

Neonatal mortality in Sub-Saharan countries is remarkably high. Though there are inconsistent studies about the incidence density rate of neonatal mortalities (IDR) and predictors in Sub-Saharan Africa, they are inconclusive to policymakers and program planners. In this study, the IDR of neonatal mortalities and predictors was determined.

Methods

Electronic databases (Web of Science, PubMed, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), World Cat, Google Scholar, and Google) were explored. 20 out of 818 studies were included in this study. The IDRs and predictors of neonatal mortality were computed from studies conducted in survival analysis. Fixed and random effect models were used to compute pooled estimates. Subgroup and sensitivity analyses were performed.

Results

Neonates were followed for a total of 1,095,611 neonate-days; 67142 neonate-days for neonates treated in neonatal intensive care units and 1,028,469 neonate-days for community-based studies. The IDRs of neonatal mortalities in neonatal intensive care units and in the community were 24.53 and 1.21 per 1000 person-days, respectively. The IDRs of early and late neonatal mortalities neonatal intensive care units were 22.51 and 5.09 per 1000 neonate-days, respectively. Likewise, the IDRs of early and late neonatal mortalities in the community were 0.85 and 0.31, respectively. Not initiating breastfeeding within one hour, multiple births, rural residence, maternal illness, low Apgar score, being preterm, sepsis, asphyxia, and respiratory distress syndrome were independent predictors of time to neonatal mortality in neonatal intensive care units and male gender, perceived small size, multiple births, and ANC were predictors of neonatal mortality in the community.

Conclusion

The incidence density rate of neonatal mortality in Sub-Saharan Africa is significantly high. Multiple factors (neonatal and maternal) were found to be independent predictors. Strategies must be designed to address these predictors, and prospective studies could reveal other possible factors of neonatal mortalities.