Neonatal sepsis, a systemic infection of neonates in their first month of life, is a major cause of morbidity and mortality in newborns . Most of the neonatal death that occurs in low-and middle-income countries  is associated with neonatal sepsis . Neonatal sepsis is highly prevalent in sub-Saharan African countries . For example, the prevalence of neonatal sepsis is 45% in Ethiopia , 37.9% in Cameroon , 37.6% in Nigeria  and 34.1% in Tanzanian . In Kenya, the prevalence of neonatal sepsis was reported at 29.3% .
Despite advances in healthcare system, sepsis is one of the major causes of morbidity and mortality in neonates worldwide  . According to the World Health Organization (WHO), each year, four million newborn babies die during the first four weeks of their lives, of which 75% die prematurely during the first week of life  . It is estimated that neonatal mortality rate in low and middle-income countries (LMICs) is 20 per 1000 live births, compared to 3 per 1000 in high-income countries . Neonatal sepsis contributes to 17% death in Sub-Saharan Africa as compared to 6% in the developed countries . In Kenya, despite the different mitigation interventions, the neonatal mortality rate is 22 deaths per 1000 live births .
Premature rupture of membrane (PROM)  , history of maternal urinary tract infection (UTI) during pregnancy, gestational age < 37 weeks, Apgar score < 7 at 5th minute, history of artificial ventilation of the newborn, not crying immediately at birth  , delay in care seeking, and lack of access to well-trained health workers   were identified as major contributing factors of neonatal sepsis. In the African region, lack of adequate resources delays in the diagnosis and prompt treatment of neonatal sepsis, major contributing factor to the high morbidity and mortality rates among the neonates. Diagnosis and treatment of newborns with infection is inadequate in many developing countries, because sick and premature newborns present with non-specific signs and symptoms , which requires sophisticated equipment and highly trained personnel. In Kenya, the main causes of neonatal death in 2015 were birth asphyxia, birth trauma, prematurity and sepsis .
Despite the heavy burden of neonatal sepsis and its related mortality, in Kenya, data on prevalence and risk factors is limited. Identifying the current prevalence and its predictors of neonatal sepsis is critically important in designing strategies to prevent and/or establish effective treatment of neonatal sepsis. Identification of risk factors and timely initiation of treatments can significantly decrease neonatal mortality and morbidity . To achieve sustainable development goal (SDG), reducing newborn and under-five mortality as low as 12/1000 and 25/1000, respectively, is one of the Global strategies of WHO in African countries by 2030. This could be achieved through better prevention and management of preterm neonates as the key strategy . Therefore, this study was aimed at determining the prevalence and predictors of neonatal sepsis at the newborn unit of Kenyatta National Hospital, Kenya.
2.1. Study Setting
This study was conducted at the newborn unit of Kenyatta National Hospital (KNH), a level 6 referral and teaching public health facility in Nairobi. It is the biggest public hospital in Kenya and offers a wide range of outpatient and inpatient specialty services including emergency, obstetrics and gynaecology, medical, surgical, oncology, cardiology, diabetes, hypertension and paediatrics medicine and related interventions among others. Being a teaching and referral hospital, the hospital receives many high risk pregnancies and their outcomes. The newborn unit is one of the busiest wards of the hospital, rendering service under critical newborn care unit and kangaroo mother care. It is staffed with trained nurses, general practitioners, pediatricians and neonatologists.
2.2. Study Design, Sampling Method and Respondents
This was a hospital-based, cross-sectional study involved randomly selected respondents (n = 196) from the newborn unit of KNH. The study population comprises all neonates admitted to the newborn unit and their mothers. The sample size was determined by using Fischer’s formula (Fischer et al., 1998); n = Z2pq/d2) by considering 95% CI and 5% margin of error (d). The proportion of neonatal sepsis was taken from the study carried out by Muturi (2015) at Kisii level 5 hospital in Kenya at19.7%. Accordingly, = (1.96)2 0.197 (0.803)/(0.05)2 = 243. However, since the target population during the study period was <10,000, sample size adjustment was done using the formula , nf = 243/1 + 243/1020 = 196. Where “n” is the initially calculated sample size (243), N = total population in two months period (1020). Thus after adjusting, the final sample size was 196 subjects.
Sampling Method: A systematic random sampling method was used to select the study participants. During the study period, the newborn unit of KNH daily admitted an average of 17 neonates, which is equivalent to 1020 in two months, the duration the data collection would take to complete. The 1020 number of neonates in two months period was divided by the minimum adjusted sample size (196) to get a sampling interval of 5. The first neonate to be included in the study was chosen randomly by blindly picking one of five pieces of paper named for the first five neonates in each day. After that, every fifth neonate who had been admitted to the newborn unit of KNH was included in the study until the desired sample size was attained.
2.3. Data Collection Method and Procedure
A pretested, semi-structured questionnaire was used to collect the data. Data were collected through interviewing mothers and reviewing neonates’ medical records. The assessment comprised maternal socio-demographic, lifestyle characteristics, attendance of ANC clinic and IFAS intake, anaemic status, presence of any acute/chronic diseases during pregnancy, dietary and cultural beliefs during pregnancy, obstetric and gynecological, mode of deliver and place of delivry. Neonatal variables include; age, sex, birth weight, gestational age at birth, birth asphyxia, APGAR score, whether the cried immediately, history of resuscitation, suctioning and invasive procedures were captured from medical records.
Nutritional status of the mothers was assessed using body mass index. Using standard protocols and techniques the mothers’ body weight and height were measured. Body weight in light clothes was measured to the nearest 0.1 kg using a calibrated, Sohenle mechanical weighing scale. Respondent’s height was measured using a portable stadiometer to the nearest 0.5 centimeters. BMI was calculated as weight in kilograms divided by the square of height in meters. According to the WHO , individuals with a body mass index (BMI) ≥ 30 kg/m2 are categorized as obese, 25.0 - 29.9 kg/m2 as overweight, 18.5 - 24.9 kg/m2 as normal, while those with less than 18.5 kg/m2 as underweight.
2.4. Validity and Reliability of the Study Tools
The tools were reviewed for content validity by experts in the field of neonatology and obstetrics to ascertain relevance and completeness. The recommendations and suggestions were incorporated in the final questionnaire. To measure reliability of the questionnaire, a test re-test method was employed whereby, a repeat pre-test was carried out after two weeks, and Cohen’s kappa statistic was used to measure the level of agreement of the two results. The result of the repeated questions had a kappa value of 0.89 therefore, the questionnaire was considered reliable.
2.5. Ethical Consideration
Ethical approval to conduct this study was obtained from Kenyatta National Hospital-University of Nairobi Ethical Review Committee (KNH-UoN ERC) (Approval number (UP89/02/2019). We also sought study approval from the National Commission for Science, Technology and Innovation (NACOSTI) (Approval number NACOSTI/P/19/53639/2870). The institutional permission was granted by the administration of the Catholic University of Eastern Africa. Consent was obtained from the study participants prior to data collection after explanation on study aim and objectives.
2.6. Data Analyses
Statistical analyses were performed using the statistical package for the Social Sciences (SPSS: version 22). Data were descriptively analyzed into frequencies and proportions. The chi-square test of independence and binary logistic regression were employed to determine associations between the dependent (neonatal sepsis) and various independents variables. A multiple logistic regression model with backwark conditional was carried out to determine the variables independently contributed to the occurrence of neonatal sepsis. A p-value of less than 0.05 was considered to be significant.
3.1. Relationship between Socio-Demographics of the Mothers and Neonatal Sepsis
The majority of the mothers were in the age group of 20 - 35 years (74%, n = 145), married (95.4%, n = 187), Protestant (52%, n = 102), had secondary level of education (48%, n = 94) and unemployed (50.5%, n = 99). The study revealed that the prevalence of neonatal sepsis was 28.6%. Further analysis with a chi-square test of independence and Fisher’s Exact Test revealed that age (X2 = 3.395; p = 0.183), religion (X2 = 1.415; p = 0.698), level of education (X2 = 3.871; p = 0.269) and employment status (X2 = 1.572; p = 0.456) of the mothers were not significantly associated with neonatal sepsis. However, neonates born of single mothers were more likely (X2 = 11.909; p = 0.001) to develop neonatal sepsis compared to those neonates born of married mothers (Table 1).
3.2. Relationship between Maternal Antenatal Care Visits and Neonatal Sepsis
Most, (61.2%, n = 120) and (75.5%, n = 148) of the mothers had started attending ANC and taking IFAS after 12 weeks of gestation, respectively. A majority (65.3%, n = 128) had attended ANC 4 or more times during the entire pregnancy. However, most (77.6%, n = 152) of them took the IFAS for ≤ 6 months. Analysis with binary logistic regression revealed that total number of ANC visits and duration IFAs intake were significantly associated with neonatal sepsis. Neonates born of mothers who visited the ANC for less than 4 times during the entire pregnancy were 2.5 times (COR = 2.500, 95% CI = 1.319 - 4.738; p = 0.005) at higher risk to develop neonatal sepsis compared to neonates born of mothers who attended the ANC 4 or more visits. Moreover, neonates born of mothers who took IFAs for ≤6 months were 3 times (COR = 3.105, 95% CI = 1.231 - 7.830; p = 0.016) more likely to develop neonatal sepsis compared to those neonates born of mothers who took IFAS for more than 6 months. However, gestational age at first ANC visit (p = 0.229) and gestational age where the
Table 1. Relationship between socio-demographics of the mothers and neonatal sepsis.
*Fisher’s Exact Test.
mothers started IFAS intake (p = 0.793) were not significantly associated with neonatal sepsis (Table 2).
3.3. Relationship between Maternal Health-Nutritional Status and Neonatal Sepsis
A good number, (47.4%, n = 93), of the mothers reported having UTI during pregnancy. Majority of the mothers take tea/coffee (88.8%, n =174), consumed above three meals in a day (58.7%, n = 115) and had normal body mass index (MBI) (65.8%, n = 129). Most (55.6% n = 109) of the mothers were anaemic (Hb < 11 g/dl). Further analysis with a chi-square test of independence revealed that
Table 2. Relationship between maternal antenatal care visits and neonatal sepsis.
neonates born of mothers with history of UTI and anaemia were at higher risk to develop neonatal sepsis. Neonates born of mothers who had history of UTI during pregnancy were more likely (X2 = 10.904; p = 0.001) to develop neonatal sepsis compared to those who were born of mothers without history of UTI. Similarly, Neonates born of anaemic mothers were significantly (X2 = 9.840; p = 0.002) at higher risk of developing neonatal sepsis compared to those neonates born of mothers who did not have anaemia during pregnancy. Whereas, intake of tea/coffee (X2 = 3.461; p = 0.063), daily number of meals (X2 = 0. 842; p = 0.359) and body mass index (X2 = 3. 566; p = 0.241) of the mothers were not significantly associated neonatal sepsis (Table 3).
3.4. Relationship between Pregnancy Related Factors and Neonatal Sepsis
Most of the mothers were above 19 years old at their first pregnancy (69.4%, n = 136), had ≤3 number of pregnancies (81.1%, n = 159), had ≤3 children in the family and spontaneous virginal delivery (SVD) (52.6%, n = 103). Of the mothers, a good number (25%, n = 49) had history of PROM. Further analysis with a
Table 3. Relationship between maternal health-nutritional status and neonatal sepsis
*Fisher’s Exact Test.
chi-square test of independence revealed that the prevalence of neonatal sepsis is significantly (X2 = 16.133; p < 0.001) higher among neonates born of mothers with history of PROM compared to those neonates born of mothers without history of PROM. However, there was no significant association between age of the mother at first pregnancy (X2 = 2.777; p = 0.096), number of pregnancies (X2 = 0.963; p = 0.326), number of children in a family (X2 = 0.862; p = 0.353) and mode of delivery (X2 = 0.205; p = 0.651) and neonatal sepsis (Table 4).
3.5. Neonates Related Factors Associated with Neonatal Sepsis
Majority of the babies were male (55.1%, n = 108), term (60.2%, n = 118), had low birth weight (54.6%, n = 107), immediately cried at birth (89.8%, n = 176), had Apgar score ≥ 7 at 5 minutes (68.9%, n = 135), and history of invasive procedure (70.4%, n = 138). Further analysis revealed that preterm neonates were 6.7 times (COR = 6.711, 95% CI = 3.369 - 13.367; p < 0.001) more likely to develop
Table 4. Relationship between pregnancy related factors and neonatal sepsis C.
neonatal sepsis compared to term neonates. Neonates with low birth weight were 2.4 times (COR = 2.429, 95% CI = 1.257 - 4.695; p = 0.008) more likely to have neonatal sepsis compared to those neonates with normal birth weight. The odds of neonatal sepsis was significantly (COR = 5.739, 95% CI = 2.924 - 11.266; p < 0.001) higher among neonates who scored low Apgar score (below 7) at 5th minutes compared to those neonates scored above 7 at 5th minutes. Neonates who had history of invasive procedure were about 3 times (COR = 2.812, 95% CI = 1.272 - 6.216; p = 0.011) more likely to suffer from neonatal sepsis compared to neonates without history of invasive procedure. However, gender and crying immediately at birth were not significantly associated neonatal sepsis (Table 5).
3.6. Multivariate Analysis for the Predictors of Neonatal Sepsis
Binary logistic regression analysis was performed to model neonatal sepsis (presence or absence) as a dependent variable and the independent variables that revealed significant association at p < 0.05 during the bivariate analysis. Accordingly, the logistic model included the following factors: marital status, total
Table 5. Neonatal related factors associated with neonatal sepsis.
number of ANC visits, duration of IFAS intake, history of UTI during pregnancy, anemic status, history of PROM as maternal factors and maturity status at birth, birth weight, Apgar score at 5 minutes and history of invasive procedure as neonatal factors. Backward conditional method was specified with removal at p < 0.05 to determine the independent predictors of neonatal sepsis as it removes the confounding variables until no further variables can be removed without a statistically insignificant loss of fit (last or reduced model). After considering all, maternal marital status, history of UTI during pregnancy, anaemic status, history of PROM and the neonates’ maturity status at birth and Apgar score at 5 minutes and history of invasive procedure were independently associated with neonatal sepsis.
Neonates born of single mothers were 5 times (AOR = 5.454, 95% CI 1.457 to 20.556, p = 0.012) more likely to develop neonatal sepsis compared to neonates born of married mothers. Neonates born of mothers with history of UTI were about 3 times (AOR = 2.969, 95% CI 1.261 to 6.948, p = 0.013) more likely to develop neonatal sepsis compared to those neonates born of mothers without history of UTI. The odds of developing neonatal sepsis was significantly (AOR = 3.379, 95% CI 1.343 to 8.504, p = 0.010) higher among neonates of anaemic mothers compared to those neonates whose mothers did not have anaemia. Neonates born of mothers with history of PROM were 6 times (AOR = 6.124, 95% CI 2.984 to 14.625, p = 0.001) more likely to develop neonatal sepsis compared to those neonates born of mothers without history of PROM. The odds of developing neonatal sepsis was 6 (AOR = 6.402, 95% CI 2.731 to 15.006, p < 0.001) and 8 times (AOR = 8.212, 95% CI 3.419 to 19.722, p < 0.001) higher among preterm neonates and neonates with low Apgar score (<7) at 5th minutes compared to term neonates and neonates with ≥7 Apgar score, respectively. Moreover, neonates with history of invasive procedure were more than 2 times (AOR = 2.464, 95% CI 0.944 to 6.432, p = 0.046) more likely to develop neonatal sepsis compared to neonates with no history of invasive procedure (Table 6).
The primary objective of this study was to determine the prevalence and predictors of neonatal sepsis among neonates admitted at the newborn unit of Kenyatta National Hospital, Nairobi, Kenya. Our study found a high prevalence, 28.6%, of neonatal sepsis associated with several maternal and neonatal factors. The maternal factors significantly and independently associated with neonatal sepsis were being single, history of UTI during pregnancy, anaemia and history of PROM. Of the neonates, prematurity, low Apgar score at 5th minutes and history of invasive procedure were the factors significantly associated with neonatal sepsis.
The high prevalence of neonatal sepsis found in this study is expected due to the fact that the study area is a national referral hospital, which receives neonates with severe complications as well as complicated pregnancies. Similar to our findings, a systematic review and meta-analysis conducted in East Africa found a prevalence of neonatal sepsis of 29.7% . The prevalence of neonatal sepsis in the current study is lower than findings from Ethiopia at 45% , Tanzanian at
Table 6. Multivariate analysis on the predictors of neonatal sepsis.
34.1% , Cameroon at 37.9%  and Nigeria at 37.6% . The difference in prevalence of neonatal sepsis could be explained by the difference in the clinical definition of sepsis at different settings.
The odds of having neonatal sepsis was higher among neonates born of single mothers compared to neonates born of married mothers. This can be explained by the fact that single mothers might not have adequate capacity to take care of their newborn and provide ideal environment due to lack of psycho-social support system and the pregnancy related stress. Pregnancy without psycho-social support system is stressful and can lead to ill-health for both the mother and the newborn. Stress results in increases in cortisol, norepinephrine and inflammation which affect the fetal environment and have implications for maternal and infant health. Women who experience high levels of stress during pregnancy have 25% - 60% higher risk for preterm delivery compared to women with low levels of stress .
Maternal history of UTI during pregnancy is a risk factor for neonatal sepsis. Our study found that neonates born of mothers with history of UTI during pregnancy were at higher risk of neonatal sepsis compared to neonates born of mothers without history of UTI. This finding is consistent with previous studies in Nigeria . The possible explanation for this association is that colonization of infectious agent in the birth canal may contaminate the babies as they come out and predispose them to early sepsis . Another maternal risk factor for neonatal sepsis was PROM. Similar observations have been reported elsewhere in Tanzania , Ethiopia   and Nigeria . Early rupture of membrane exposes a newborn to ascending microorganisms from the birth canal into the amniotic sac and can predispose to neonatal sepsis after delivery . This finding suggests prophylactic antibiotic therapy for neonates born to mothers with a history of PROM during pregnancy. Maternal anemia is a risk factor for neonatal sepsis. Our study found that neonates born of anaemic mothers were more likely to develop neonatal sepsis compared to neonates born of mothers without anemia. This finding is in agreement with a study conducted in Dhaka, Bangladish . This could be explained by the fact that babies born of anaemic mothers are probably born with low immunity and other important proteins and therefore are more likely to suffer from neonatal sepsis.
Premature neonates were at higher risk of neonatal sepsis. This finding is in agreement with the several findings from studies conducted in referral hospitals of Ghana , Ethiopia  and Tanzania . This could be explained by the fact that premature babies are at a higher risk of infection because of their immature immune system. Additionally, premature neonates are also more likely to be exposed to various invasive procedures, which might increase chances of neonatal infection. Further, premature babies are at higher risks of bleeding, respiratory distress syndrome, jaundice; all can put them at higher risk of bacterial infection. In this study, neonates with low 5th minutes Apgar score were 8 times more likely to develop neonatal sepsis. Similar findings have been reported in Ethiopia  , Tanzania  and Nigeria . Neonates with low Apgar score tend to have poor adaptation to extra-uterine life due to the stress experienced during labour and, therefore, are more prone to infection . This finding is important in guiding appropriate interventions of neonates by considering those with low Apgar score are managed with strict sepsis preventive measures. Finally, our study revealed that neonates who had history of invasive procedure/s were more likely to develop neonatal sepsis compared to neonates who did not have history of invasive procedure. Several studies have reported invasive procedures as significant risk factor for neonatal sepsis   . Invasive procedures such as intravenous catheters are recognized risk factors for serious bloodstream infections .
5. Limitations of the Study
Since the study was done on admitted neonates and in the biggest referral hospital in Kenya, the results might have limitation in generalizability to the entire population.
Another piece of evidence showing both maternal and neonatal-related factor had a significant effect on the risk of neonatal sepsis. The study identified socio-demographics, presence of acute/chronic diseases during pregnancy, as obstetric complications as significant maternal factors associated with neonatal sepsis. Prematurity, low Apgar score and history of invasive procedure were the babies’ factors significantly associated with neonatal sepsis. The present study fundamentally provided the reconfirming of data on this topic; however, these data are of paramount importance in health-policy making and health care performance in Kenya.
Tekeste and Mercy conceptualized the research problem, design the study and involved in proposal writing and data acquisition. Tekeste carried out data analysis, interpretation and paper preparation. Mercy critically revised the manuscript.
The authors are indebted to all participants of this study.
 Giannoni, E., et al. (2018) Neonatal Sepsis of Early Onset, and Hospital-Acquired and Community-Acquired Late Onset: A Prospective Population-Based Cohort Study. The Journal of Pediatrics, 201, 106-114.E4.
 Seale, A.C., et al. (2014) Estimates of Possible Severe Bacterial Infection in Neonates in Sub-Saharan Africa, South Asia, and Latin America for 2012: A Systematic Review and Meta-Analysis. The Lancet Infectious Diseases, 14, 731-741.
 Assemie, M.A., Alene, M., Yismaw, L., Ketema, D.B., et al. (2020) Prevalence of Neonatal Sepsis in Ethiopia: A Systematic Review and Meta-Analysis. International Journal of Pediatrics, 2020, Article ID: 6468492.
 Mah, M.E., Chiabi, A., Tchokoteu, P.F.L., et al. (2014) Neonatal Mortality in a Referral Hospital in Cameroon over a Seven Year Period: Trends, Associated Factors and Causes. African Health Sciences, 14, 517-525.
 Olorukooba, A.A., Ifusemu, W.R., Ibrahim, M.S., Jibril, M.B., Amadu, L. and Lawal, B.B. (2020) Prevalence and Factors Associated with Neonatal Sepsis in a Tertiary Hospital, North West Nigeria. Nigerian Medical Journal, 61, 60-66.
 Jabiri, A., et al. (2016) Prevalence and Factors Associated with Neonatal Sepsis among Neonates in Temeke and Mwananyamala Hospitals in Dar es Salaam, Tanzania. Tanzania Journal of Health Research, 18, 1-7.
 Le Geyt, J. and Hauck, S. (2016) G272 Epidemiological Trends of Neonatal Sepsis in a County Referral Hospital in Central Kenya. Archives of Disease in Childhood, 101, A154.
 El-Din, E.M.R.S., Adel El-Sokkary, M.M., Bassiouny, M.R. and Hassan, R. (2015) Epidemiology of Neonatal Sepsis and Implicated Pathogens: A Study from Egypt. BioMed Research International, 2015, Article ID: 509484.
 Neema, K., Erasmus, K. and Damas, L.M. (2010) Predictors of Positive Blood Culture and Deaths among Neonates with Suspected Neonatal Sepsis in a Tertiary Hospital, Mwanza—Tanzania. BMC Pediatrics, 10, Article No. 39.
 Yamey, G., Horváth, H., Schmidt, L., Myers, J. and Brindis, C.D. (2016) Reducing the Global Burden of Preterm Birth through Knowledge Transfer and Exchange: A Research Agenda for Engaging Effectively with Policymakers. Reproductive Health, 13, Article No. 26.
 Wechselberger, K., Schmid, A., Posod, A., et al. (2016) Secretoneurin Serum Levels in Healthy Term Neonates and Neonates with Hypoxic-Ischaemic Encephalopathy. Neonatology, 110, 14-20.
 World Health Organization. Joint Child Malnutrition Estimates—Levels and Trends (2017 Edition).
 Gebremedhin, D., Berhe, H. and Gebrekirstos, K. (2016) Risk Factors for Neonatal Sepsis in Public Hospitals of Mekelle City, North Ethiopia, 2015: Unmatched Case Control Study. PLoS ONE, 11, e0154798.
 Kpikpitse, S.M. and Mohamed, S. (2014) Neonatal Sepsis in Rural Ghana: A Case Control Study of Risk Factors in a Birth Cohort. International Journal of Research in Medical and Health Sciences, 4, 72-83.
 WHO-MCEE estimates for child causes of death, 2000-2015.
 Beletew, B., Kassie, A., Kassaw, M.W. and Getu, M.A. (2019) Neonatal Sepsis and Its Associated Factors in East Africa: A Systematic Review and Meta-Analysis. Research Square.
 Akindolire, A.E., Tongo, O., Dada-Adegbola, H. and Akinyinka, O. (2016) Etiology of Early Onset Septicemia among Neonates at the University College Hospital, Ibadan, Nigeria. The Journal of Infection in Developing Countries, 10, 1338-1344.
 Alemu, M., Ayana, M., Abiy, H., Minuye, B., Alebachew, W. and Endalamaw, A. (2019) Determinants of Neonatal Sepsis among Neonates in the Northwest Part of Ethiopia: Case-Control Study. Italian Journal of Pediatrics, 45, Article No. 150.
 Sorsa, A. (2019) Epidemiology of Neonatal Sepsis and Associated Factors Implicated: Observational Study at Neonatal Intensive Care Unit of Arsi University Teaching and Referral Hospital, South East Ethiopia. Ethiopian Journal of Health Sciences, 29, 333-342.
 Endale, T., Fentahun, N., Gemada, D. and Hussen, M.A. (2016) Maternal and Fetal Outcomes in Term Premature Rupture of Membrane. World Journal of Emergency Medicine, 7, 147-152.
 Nyma, Z., Rahman, M., Hasan, S., et al. (2020) Prevalence and Associated Risk Factors of Sepsis among Neonates Admitted into Neonatal Intensive Care Units of Public Hospitals in Dhaka. Cureus, 12, e7461.
 John, B., David, M., Mathias, L. and Elizabeth, N. (2015) Risk Factors and Practices Contributing to Newborn Sepsis in a Rural District of Eastern Uganda: A Cross Sectional Study. BMC Research Notes, 8, Article No. 339.
 Leal, Y.A., álvarez-Nemegyei, J., Velázquez, J.R., Rosado-Quiab, U., et al. (2012) Risk Factors and Prognosis for Neonatal Sepsis in Southeastern Mexico: Analysis of a Four-Year Historic Cohort Follow-Up. BMC Pregnancy Childbirth, 12, Article No. 48.
 Serane, T. and Kothendaraman, B. (2016) Incidence and Risk Factors of Infections Associated with Peripheral Intravenous Catheters. Journal of Infection Prevention, 17, 115-120.