Rate and Predictors of Neonatal Jaundice in Northwest Ethiopia: Prospective Cohort Study
Received 19 December 2020
Accepted for publication 4 February 2021
Published 22 February 2021 Volume 2021:14 Pages 447—457
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Molla Yigzaw Birhanu,1 Aytenew Atnaf Workineh,2 Yalew Molla,3 Ermias Abebaw,4 Amit Arora,5 Yibelu Bazezew6
1Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 2Department of Medical Laboratory Sciences, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 3Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 4Department of Pediatrics, School of Medicine, Debre Markos University, Debre Markos, Ethiopia; 5School of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia; 6Department of Midwifery, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
Correspondence: Molla Yigzaw Birhanu
Department of Public Health, College of Health Sciences, Debre Markos University, P.O. Box 269, Debre Markos, Ethiopia
Email [email protected]
Background: Neonatal jaundice is one of the most common clinical disorders occurred worldwide. About 1.1 million neonates develop jaundice per year globally and the vast majority of them found in sub-Saharan Africa and South Asia. There is a paucity of evidence on the incidence rate and predictors of neonatal jaundice in Ethiopia. Therefore, this study was aimed at determining the rate and predictors of neonatal jaundice in the northwest, Ethiopia.
Methods: A prospective cohort study design was conducted at Debre Markos comprehensive, specialized Hospitals using 334 neonates from October 1, 2019, to June 30, 2020. Using a systematic random sampling technique, the study subjects were drawn. Data were entered into the Epi-DataTM Version 4.2 and analyzed using STATATM Version 14.0. The Kaplan-Meier survival curve was used to estimate the survival time. A generalized Log rank test was used to compare the survival curves of different categorical variables. Finally, both bi-variable and multivariable Cox-proportional hazards regression models were used to identify the predictors of neonatal jaundice.
The Results: The overall incidence rate of jaundice among neonates was 4.5 per 100 person-hours. Long duration of labor [ARR = 3.5; 95% confidence interval (CI), (2.8– 8.7)], being male neonates [ARR= 5.2; 95% CI (3.5– 7.3)], “O” blood group mothers [ARR = 4.5; 95% CI (3.4– 10.3)], and having neonatal sepsis 3.4 [ARR=3.4; 95% CI: (2.5– 6.1)] were predictors.
Conclusion: The incidence rate of jaundice was higher in this study than the finding of the previous one. Being male, prolonged duration of labor, “O” blood group mothers and sepsis were the significant predictors. Hence, an effort has to be made to decrease the incidence rate of neonatal jaundice through improving newborn care and timely intervention for neonates with sepsis and delivered at a long duration of time as well as the neonates born from “o” blood type mothers are our recommendation.
Keywords: neonatal jaundice, incidence, predictor, NICU, Debre Markos, Ethiopia
Jaundice is one of the most common medical complications causing neonatal readmission during the neonatal period.1,2 It is a preventable and treatable clinical complication, but letting untreated can end up in neonatal mortality. The occurrence of jaundice among neonates during the first week of their life is 60%3,4 among term and 80%4,5 among preterm newborns. Neonatal jaundice is the most common cause of readmission for neonates during their neonatal period.6 It is accountable for 70% and 10% of neonatal morbidity and mortality, respectively, worldwide.5,7 As an earlier report indicated that, out of the 130 million babies born per year, approximately 4 million died within their neonatal period.8 Of the total neonatal mortality secondary to jaundice complications, about 75% of neonatal mortality occurred in South Asia and sub-Saharan Africa.9 In Ethiopia, neonatal mortality and morbidity are among the highest in the world, on which6 more than one-third of childhood death occurs within the first 28 days of age.10 The incidence of neonatal jaundice in Nepal was 29.3 per 1000 live births,11 in Turkish 31%.12
When we come with the burden of jaundice, about 7% to 13% of all neonatal deaths in Bangladesh were accounted for by jaundice.13 Of the total neonatal mortality in Bangladesh, 78% was occurring during the first week of their life.13 Jaundice was one of the most common causes of neonatal mortality and responsive for 6.7% of neonatal death in Ghana.14 In Ethiopia, of the total death at Ayder, about 98.3% occurred during the first week of their life15 and at Aroresa in Sidama, neonatal mortality was 41 per 1000 live birth and neonatal complication was one of the predictors for neonatal mortality.16 In the northwest part of Ethiopia, the study revealed that Jaundice was one of the significant predictors for neonatal mortality, especially under 7 days of age.17
The predictors of neonatal jaundice were classified as neonatal, obstetric, maternal, and medical factors. Among neonatal and obstetric factors: gestational age,18 male sex, birth weight, prolonged labor, and primiparity,19 normal and oxytocin assisted delivery,20 low Appearance Pulse Grimace response Activity Respiration (APGAR) score, and birth asphyxia,21 duration of labor,22 multiple pregnancies,23 and vacuum extraction24 were significantly associated with neonatal jaundice. Maternal and medical predictors that had a significant association with neonatal jaundice were as follows: drug use during pregnancy,25 maternal age, body mass index, and hemoglobin level,26 thyroid-stimulating hormone.27 In addition to the above ABO and Rh incompatibility, sepsis, and total serum bilirubin level,28 maternal smoking status,29 cord blood albumin and bilirubin,30 low maternal educational status,31 parity,32 and maternal O blood group33 were the significant predictors of neonatal jaundice.
To tackle this medical complication, the Ethiopian government implemented phototherapy supportive treatment nationally, but nothing has been implemented to prevent the occurrence of the problem locally and globally. Currently, the Ethiopian government targeted to decrease the neonatal mortality rate from 28/1000 live births to 11/1000 live births by 2035.34 To succeed in this plan, data related to the incidence rate and predictors of neonatal jaundice are crucial. There is no record of the rate and predictors of neonatal jaundice in Ethiopia. Thus, we conducted this study to estimate the rate and predictors of jaundice among neonates admitted at Debre Markos Comprehensive specialized Hospital. The results of this study will inform policymakers, program planners working at various levels of maternal, and child health control programs.
Study Design, Setting, and Period
A hospital-based prospective cohort study was undertaken at Debre-Markos comprehensive, specialized Hospital from October 1–2019 to June 30–2020. Debre Markos Town is located at 299 km far from Addis Ababa, the capital city of Ethiopia, and 265 km far from Bahir-Dar, the capital city of Amhara Regional State. Debre Markos comprehensive, specialized Hospital provides services for more than 3.6 million people of the East Gojjam Administrative Zone and neighboring areas.
All neonates admitted to the neonatal intensive care unit of Debre Markos comprehensive, specialized Hospital were the source population. All neonates admitted to the intensive care unit of Debre Markos comprehensive specialized Hospital from October 1–2019 to June 30–2020 were the study population.
All neonates admitted to the neonatal intensive care unit of Debre Markos comprehensive, specialized Hospital during the study period were included.
Neonates whose mothers were critically ill or unable to give informed consent and Neonates who developed jaundice when they were admitted to NICU of Debre Markos comprehensive specialized Hospital.
Sample Size Determination and Sampling Procedures
The minimum required sample size was calculated using a single population proportion. We used a STATATM Version 14.0 statistical software to calculate the sample size by considering the following assumptions: level of significance (α) = 5%, Za/2 (value at 95% confidence interval =1.96), power of 80%, and the prevalence (P= 0.5 since there was no previous study). We could not apply sample size calculation for predictors since there was no previous study. Hence, the sample size was calculated using a single population proportion for this study. The calculated sample size was found to be 384, but since the estimated total populations in the study area during the study period were less than 10, 000 the following correction formula was used.
nf = ni/1+ni/N=384/1 + 384/1500 = 307
nf= final sample size
ni= initial sample size=384
N=total estimated neonates with their mother in the study area during data collection time=1500.
Then, after adding 10% non-response rate to get 338 samples (307 + (307/10) =338).
In Debre, Markos comprehensive, specialized Hospital, there were 1500 estimated number of neonates admitted to NICU during the study period. We determined the sampling interval (k) by dividing 1500 neonates as the study population (N) by sample size (n) as (k=N/n=1500/338=4). Then, we systematically selected 338 neonates starting from the second (2, 6, 10, 14, 18, etc.) neonates and then every fourth neonates who were admitted at the NICU of Debre Markos comprehensive, specialized hospital every day during the study period.
Neonate: An infant from birth to 28 days of age.
Physiological Jaundice: Total bilirubin value along with integrated management of newborn and childhood illness (IMNCI) clinical features of physiological jaundice was used to diagnose physiological jaundice. Neonates in the presence of one more of the established IMNCI criteria (only the skin on the face or eyes yellow and infant aged 2–13 days old) along with total bilirubin value ≤12mg/100mL in term babies and under 15mg/100 mL in preterm babies.36
Pathological Jaundice: Total bilirubin level together with IMNCI clinical features was used to diagnose pathological jaundice. The neonates having one or more of the established IMNCI criteria (palms or/and soles yellow or skin and yellow eyes within 24 hrs old or skin and eyes yellow, baby are ≥14 days old) and total bilirubin more than 12mg/100mL at term and more than 15mg/100mL in the preterm baby was defined as pathologic jaundice.35,36
Kernicterus: Defined based on unconjugated hyperbilirubinemia of more than 340 Lmol/L in the term newborn or 200 Lmol/L in a preterm with features, such as poor sucking, vomiting, drowsiness, hypertonia, paralysis of upward gaze, high pitched cry, involuntary movements, and convulsions in the established category.37
Neonatal Sepsis: Defined based on the hematological criteria together with the IMNCI clinical features. The diagnostic criteria are based on one or more of the established IMNCI clinical features along with two or more hematological parameter abnormalities, such as total leukocyte count (4000 or >12,000 cells/m3), absolute neutrophil count (1500 cells/mm3 or >7500 cells/mm3), erythrocyte sedimentation rate (ESR) (>15 mm/1 h), and platelet count (150 or >440 cells/m3).38
Rh incompatibility: Defined as neonates with a different Rh blood group with their mother’s as confirmed by laboratory testing.39
Event: Neonates who had developed jaundice up to discharge secondary to recovery or/and transferred to the pediatric ward.
Censored: Neonates who had not developed jaundice up to discharge due to recovery or/and transferred to the pediatric ward.
Data Collection, Procedure, and Quality Assurance
The data collection tool was adapted from the study conducted previously to ensure data quality.39 In addition, we verified the consistent understanding of the prepared collection tool by study participants through selecting and interviewing 34 samples randomly, which resulted in slight amendments to the data collection tool. Two first-degree graduate nurses who have been working in the NICU of Debre Markos comprehensive, specialized Hospital participated in data collection after they took 2 days of training on how to interview mothers, follow neonates and fill data in the questionnaire. The data were collected through interviews, observation, and extracting from medical records like bilirubin level, birth weight, and 5-min Apgar score. The investigator supervised the data collectors throughout the entire data collection process.
The sample population was recruited at different times among admitted neonates in the neonatal intensive care unit of Debre Markos comprehensive specialized hospital. The trained data collectors recruited every fourth neonate among admitted neonates daily during the recruitment period. The data collectors registered the time and date of admission for those recruited neonates after they obtained written consent from mothers/guardians. These neonates were closely followed from their time of admission until they develop jaundice, discharge secondary to recovery, discharge to the pediatric ward after 28 days, and the end of the study period (June 30/2020). Those study participants who were developing jaundice during their follow-up period were considered as developing jaundice (event) but those neonates who were transferred to the pediatric ward after 28 days, discharging secondary to recovery without developing jaundice, and still admitted to NICU at the end of the study period were considered as censored. The time to develop jaundice among admitted neonates was calculated by subtracting time and date of admission from the time and date of discharge.
A Method of Diagnosing Neonatal Jaundice
In this study, during neonatal follow-up at NICU, a physician’s diagnosis through clinical examination and laboratory investigation was used to classify neonatal jaundice. The bilirubin level was measured using blood sample taken from heel prick screening when there was clinical judgement by neonatologist or physician. During data collection, when physicians did not record the type of neonatal jaundice, those trained data collectors classified the type of jaundice using bilirubin level and IMNCI clinical features.
Data Processing and Analysis
Data were entered into EpidataTM version 4.2 and analyzed using STATA™ version 14.0 statistical software. At the end of the data collection period, the outcome of each study subject was dichotomized into censoring or event (Jaundice). In univariate analysis, we used to mean with standard deviations to describe normally distributed continuous data and median with interquartile range for skewed continuous data. The categorical data of the neonates were described using frequencies or percentages. Moreover, to identify the predictor variables, a cox-proportional hazard regression model was fitted. The Kaplan-Meier survival plot was used to estimate the survival time of their NICU admission to discharge and/or developing jaundice. A Generalized Log rank test was used to compare the survival curves between the categorical variables. The necessary assumption of the Cox-proportional hazard model was assessed using the Schoenfeld residual test and log-log plot and all variables fulfilled the assumption (the graphs did not cross or overlap each other). Regarding bivariable analysis, the outcome variable (Jaundice) and explanatory variables were entered into the Cox-proportional hazard regression model to select important variables for the multivariable Cox-proportional hazard regression model. As a result, variables having a “p-value” ≤ of 0.25 in the bi-variable analysis were fitted into the multivariable cox-proportion regression model.40 In the multivariable Cox-proportional hazard regression model, variables with “p-values” <0.05 were considered as statistically significant predictors. Adjusted relative risk with their 95% confidence intervals and p-values was used to measure the strength of association and identify statistically significant predictors of neonatal jaundice.
Sociodemographic Characteristics of the Mother
In this study, 334 neonates with their mothers were included making a 98.8% response rate. The median (±IQR) age of mothers was 27±7 years, ranging from 16 to 42 years, and the age range of more than three-fourths of the mothers was between 20 and 35 years. About 253 (75.7%) mothers were living in urban areas. Of the total interviewed mothers, 90 (26.9%) were merchants by occupation. Regarding educational status, about 123 (36.8%) of the study participants’ mothers had college and above in their educational status. Their marital status revealed that 300 (89.8%) mothers were married while 20 (4.9%) were single mothers (Table 1).
Table 1 Sociodemographic Characteristics of Mothers
Characteristics of the Neonates
Two hundred (59.8%) neonates were male in their gender and about 267 (80%) neonates were delivered at term with a birth weight of 2.5 kg and above. In this study, the APGAR score of 7–10 was recorded by 239 (71.5%) neonates. In this study, the blood group of neonates was determined and the result indicated that about one-third of the neonates (32.8%) were blood group “A”, followed by “B” (28.4%), “O” (21.8%); and “AB” (17.0%) were the least. About more than half 188 (56.3%) of the neonates were Rh positive and exactly 136 (40.8%) of the neonates had a family history of jaundice (Table 2).
Table 2 Characteristics of the Neonates
The median (+IQ range) of parity was 1± 2 ranging from 1 to 5 live births. Three hundred twenty-three (96.9%) respondents had antenatal care (ANC) follow up at least once during pregnancy, but 11 (3.2%) had not. In this study, about 16 (4.9%) of the mothers of the neonates had experienced gestational diabetes mellitus during their pregnancy, and 41 (12.1%) of mothers were developing gestational hypertension. Among neonatal mothers, exactly 24 (7.3%) of them were experiencing the premature rupture of membrane (PROM) and 33 (9.7%) of them had hyperemesis gravidarum which were identified as an obstetric complication. With regard to the mode of delivery, spontaneous vaginal delivery accounted for 240 (71.9%) whereas instrumental and cesarean section 50 (14.9%) and 44 (13.2%) mothers, respectively. The duration of labor ranges from 4 to 72 hours, of which the normal duration of labor was represented by 234 (69.9%) participants. For induction of labor, 156 (46.6%) mothers have used oxytocin (Table 3).
Table 3 Obstetric Characteristics
About three-fourths 253 (75.7%) mothers took drugs during pregnancy and iron with folic acid 307 (91.8%), magnesium sulfate 51 (15.1%) and others 17 (5.1%) of them took other drugs. Regarding substance use, 289 (86.4%) of mothers have used alcohol, 15 (4.5%) of mothers were used chat, and 77 (23%) of mothers were used herbs medicinally during their pregnancy. The blood group of mothers was determined; as a result, blood groups “A” “B”, “AB”, and “O” were found to be 31.8%, 29.4%, 15.0%, and 23.8%, respectively. Among the study participants, 100 (30%) of them had sepsis medical complications. Of the neonates, 84 (25%) had ABO blood group incompatibility and 75 (22%) Rh blood type incompatibility and were documented as they had medical complications.
Rate of Neonatal Jaundice
In this study, neonates had had a follow-up time ranging from 3 hours to 28 days during their admission period. In the follow-up, about 90 neonates were developing jaundice (20 pathologic and 70 physiologic jaundice). The study participants had 2000 person-hours of jaundice free time. The overall rate of neonatal jaundice was 4.5 per 100 person-hours. All jaundiced neonates took phototherapy as a mode of treatment, but no blood transfusion exchange. The overall incidence rate (Figure 1), and for important variables like the incidence rate of neonatal jaundice over their Sepsis status (Figure 2), survival status of neonates over their sex (Figure 3) and the survival probability of the neonates over their ABO blood group incompatibility status (Figure 4) were presented.
Figure 1 The overall survival status of the neonates.
Figure 2 Survival status of neonates free from jaundice.
Figure 3 Survival probability of neonates over their sex.
Figure 4 Survival probability of the neonates over their ABO blood group incompatibility status.
Bivariate and Multivariable Cox-Regression Analysis
During bivariate cox-proportional regression analysis, Apgar score, duration of labor, sex of neonates, maternal blood group, neonatal blood group, sepsis, type incompatibility, mode of delivery, Premature rupture of the membrane, and ANC follow-up were found as a candidate for multivariable cox-regression analysis model since they had a “p-value” less than 0.25 to include clinically important variables.
Multivariable Cox-proportional regression analysis was done by taking variables having a significant association on bivariable cox-proportional hazard regression analysis at a “p-value” of ≤0.25 to include important variables. In multivariable logistic regression analysis prolonged duration of labor, mothers’ O blood group, being male neonates, and blood incompatibility had a significant association with neonatal jaundice at “p-value” <0.05.
The finding of this study showed that the hazard rate of having neonatal jaundice among neonates who were delivered with a long duration of labor was 3.5[ARR = 3.5; 95% CI (2.8–8.7)] times higher as compared with those who were delivered with a normal duration of labor. The relative risk of neonatal jaundice among male neonates was 5.2[ARR= 5.2; 95% CI (3.5–7.3)] times higher when compared with those female neonates. In the same way, the risk rate of developing neonatal jaundice among neonates whose mother had “O” blood group was five [ARR = 4.5; 95% CI (3.4–10.3)] times higher as compared with those neonates whose mother had “A” blood group. The relative risk of neonatal jaundice among neonates who had sepsis was 3.4 [ARR = 3.4; 95% CI (2.5–6.1)] times higher compared with those neonates who had no sepsis diagnosis (Table 4).
Table 4 Multivariable Cox Proportional Hazard Regression Analysis
Neonatal jaundice has significant importance or contribution to neonatal morbidity and mortality worldwide. The vast majority of the affected neonates due to jaundice reside in sub-Saharan Africa and South Asia.37,41 There are insufficient recorded data on the rate and predictors of neonatal jaundice in Ethiopia. Hence, this study aimed at determining the rate and predictors of neonatal jaundice among neonates admitted at the neonatal intensive care unit of Debre Markos comprehensive specialized hospital, Northern Ethiopia.
In this study, the incidence rate of neonatal jaundice was 4.5 (ARR: 4.5, 95% CI: 2.1 −6.7) per 100 person-hours, which is supported by the study conducted previously.42 This incidence rate of neonatal jaundice at Debre Markos town was high as compared to the previous studies. This might be due to 30% of the neonates were had sepsis and 25% of them had blood type incompatibility. This research showed that neonatal sepsis was a significant predictor for neonatal jaundice.
This study had shown that the relative risk of jaundice was about 3.5 [ARR = 3.5; 95% CI (2.8–8.7)] times higher among neonates who were born with a long duration of labor compared with those neonates born in normal time of labor. This finding was in line with the finding in Nepal.11 This might be attributed to the bruising and swelling of the scalp of newborns due to the excessive pressure applied by birth attendants as a solution for prolonged labor, which increases the risk of jaundice by increasing bilirubin levels in the blood.39
This study revealed that being male neonates had 5.2 [ARR= 5.2; 95% CI (3.5–7.3)] times higher risk of developing neonatal jaundice as compared to their female counterparts. This finding was supported by studies done in Nepal11 and Nigeria.43 This finding could explain that male newborns have relatively immature liver, which may not be able to process all the bilirubin formed from red blood cells.39 It was also found that the rate of developing neonatal jaundice among neonates whose mother had “O” blood group was almost five [ARR = 4.5; 95% CI (3.4–10.3)] times higher compared with those neonates whose mother had “A” blood group. However, a study done in Iran showed that mothers of the “O” blood group had no significant effect on the development of neonatal jaundice.44 It might be due to the mother’s blood containing anti-A, B antibodies that are usually IgG antibodies that cross the placental barrier and attack the fetus or newborn red cells containing A, B, or AB antigens and cause jaundice.
Furthermore, this study revealed that neonatal jaundice had a significant association with sepsis. The relative rate of developing neonatal jaundice among neonates who had sepsis was about 3.4 (AHR: 3.4, 95% CI (2.5–6.1)) times higher compared with those neonates who had no sepsis diagnosis. It was supported and identified as the possible causes of neonatal jaundice in studies conducted in India,41,45,46 Iran,47,48 and Nigeria.37,49 This might be because sepsis might be the cause of hemolysis of red blood. As well as in those neonates diagnosed with neonatal sepsis, there is an elevation of bilirubin level in serum due to an inability on the part of the cell to excrete conjugated bilirubin secondary to intracellular accumulation of unconjugated bilirubin and by “toxic” cellular alterations.50
Limitation of This Study
As a limitation, this study was not considered some essential predictors, like a thyroid-stimulating hormone, and glucose-6-phosphatase dehydrogenase.
Neonatal jaundice among neonates admitted in Debre Markos comprehensive, specialized hospital was high. Prolonged duration of labor, maternal “O” blood group, blood type incompatibility, and sepsis were the independent predictors of neonatal jaundice. Hence, an effort has to be made to decrease the incidence rate of neonatal jaundice through improving newborn care and timely intervention for neonates with sepsis and delivered at long duration of time as well as the neonates born from “o” blood type mothers are our recommendation.
NICU, Neonatal Intensive care unit; MRN, Medical Registration Number; AHR, Adjusted Hazard Rate; PROM, Premature Rapture of Membrane; CI, Confidence Interval; APGAR, Appearance Pulse Grimace response Activity Respiration; ANC, Antenatal care; IMNCI, Integrated Management of Childhood Illness.
Data Sharing Statement
Data will be accessed upon request of the corresponding author.
Ethics Approval and Consent to Participate
We obtained the ethical clearance approval letter from the Ethical review committee of Debre Markos University College of Health Sciences. During the data collection period, the administrative bodies of Debre Markos comprehensive specialized hospital were also allowed to conduct the research and written informed consent was taken from parents or/and guardians of the neonates. All parents or guardians who were participated in this study were greater than 18 years old. To keep the confidentiality, the information of the study participants was not disclosed to anyone other than the principal investigators. Generally, this study was conducted in accordance with the World Medical Association Declaration of Helsinki.
The authors extended their special thanks to both data collectors and supervisors.
All the authors made a significant contribution to the work reported (study design, execution, acquisition of data, analysis and interpretation); have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
There is no funding to report.
The authors have declared that they have no conflicts of interest for this work.
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