Skip to main content
SAGE Open Medicine logoLink to SAGE Open Medicine
. 2022 Sep 15;10:20503121221124693. doi: 10.1177/20503121221124693

Determinants of meconium aspiration syndrome among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia: Unmatched case–control study

Seife Awgchew 1, Elias Ezo 2,
PMCID: PMC9486254  PMID: 36147873

Abstract

Objective:

To identify determinants of meconium aspiration syndrome among neonates admitted to the neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, in 2022.

Method:

A facility-based unmatched case–control study was used to identify meconium aspiration syndrome with a total sample size of 249 from January to April 2022. Data were entered by using EpiData version 3.1 and analyzed using SPSS version 24 software. Descriptive findings were presented by frequency tables and percentages. Multicollinearity was checked and the goodness of fit test was done. To determine the independent determinants associated with meconium aspiration syndrome, bivariate analysis was done and variables with a p value of <0.05 were taken to multivariate logistic regression analysis. Adjusted odds ratio with a 95% confidence interval was calculated, and statistical significance was declared at a p value less than 0.05.

Result:

Two hundred forty-nine (83 cases and 166 controls) mothers with their respective neonates were included in this study and that made the overall response rate 100%. Preeclampsia (adjusted odds ratio: 3.35, 95% confidence interval: 1.02, 10.97), antepartum hemorrhage (adjusted odds ratio: 3.63, 95% confidence interval: 1.50, 8.78), duration of labor (adjusted odds ratio: 4.34, 95% confidence interval: 1.83, 10.30), premature rupture of membrane (adjusted odds ratio: 16.02, 95% confidence interval: 5.66, 45.29), and obstructed labor (adjusted odds ratio: 4.57, 95% confidence interval: 1.42, 14.70) were determinants of meconium aspiration syndrome.

Conclusion:

In this study, preeclampsia, antepartum hemorrhage, duration of labor, premature rupture of membrane, and obstructed labor were determinants of meconium aspiration syndrome. Therefore, to reduce the risk of meconium aspiration syndrome, prevention, early identification, and management of these obstetrical factors may help to reduce meconium aspiration syndrome locally.

Keywords: Determinants, MAS, neonatal intensive care unit

Introduction

Meconium is a germ-free, thick, black-green, odorless material that occurs around 12 weeks of gestation in the fetal intestine, and stores in the fetal colon throughout gestation. 1 The passage of meconium occurs within the first 24–48 h after birth. However, the fetus may pass meconium in the amniotic fluid during pregnancy. 2 Meconium aspiration syndrome (MAS), which occurs in about 2%–4% of all deliveries, is the respiratory distress of the newborn secondary to the presence of meconium in the tracheobronchial airways that can cause airway obstruction, atelectasis, and epithelial injury, surfactant inhibition, pneumothorax, pulmonary hypertension, and respiratory failure.37 In severe cases, MAS requires critical care in the neonatal intensive care unit (NICU) with respiratory, hemodynamic, and metabolic support. 8 However, the exact etiology of MAS remains unclear.911

Globally, MAS remains one of the commonest causes of perinatal asphyxia. 1 Ethiopia has one of the highest neonatal mortality rates worldwide, with nearly 80% of neonatal deaths occurring during the early neonatal period and MAS accounting for a substantial percentage.12,13

The reasons remain unclear and a review of risk factors may help reduce the future incidence of MAS. Therefore, this study aimed to identify the determinant factors of MAS among neonates admitted to the NICU at the Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital.

Methods and materials

Study area and period

This study was conducted in the Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, which is found in Hosanna town of Hadiya zone. There are 31 beds, 10 incubators, and 8 radiators in the NICU and more than 1580 neonates receive care per year. This study was conducted from January to April 2022.

Study design

A facility-based unmatched case–control study design was employed.

Study population

All selected neonates admitted to the NICU at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital during the data collection period.

Case definition: Infants admitted to the NICU with a diagnosis of MAS, which was based on clinical features (presence of meconium, tachypnea, respiratory grunting, nasal pillaring, and chest retractions) and radiographic signs on chest x-rays (patchy infiltrates, hyperexpansion).

Control definition: Neonates admitted to NICU in the hospital with a diagnosis other than MAS such as very low birth weight, low birth weight, preterm, sepsis, birth asphyxia, hypothermia, hypoglycemia.

Eligibility criteria

All selected neonates during the study period were included. However, neonates with major congenital malformation were excluded.

Sample size determination

The sample size was determined by using Epi Info version 7 (trademark of the Centers for Disease Control and Prevention in Atlanta, Georgia) by considering the assumptions of 95% confidence level, 80% power, ratio of control to case two to one (2:1), and adjusted odds ratio (AOR) from a previous study. 9 A nonresponse rate of 5% was considered (Table 1).

Table 1.

Sample size calculation for determinants of MAS among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, 2022.

Variables % of control exposed AOR Ratio Sample size Nonresponse rate, % Final sample size Reference
Age of mothers 64.2 5.6 2:1 105 5 110 Addisu et al. 9
Onset of labor 67.6 2.6 2:1 236 5 249
Duration of labor 50.0 4.8 2:1 88 5 92
Obstructed labor 83.1 5.9 2:1 220 5 231

AOR, adjusted odds ratio; MAS, meconium aspiration syndrome.

From the calculated sample sizes, 249 was the largest and it was the final sample size.

Sampling procedure

Systematic random sampling was applied to identify study participants admitted to the NICU. Based on the total number of infants (528) admitted within the 4-month duration of data collection and the calculated sample size (249), every second neonate was included in the study. The first neonate was selected by lottery method.

Study variable

Dependent variable: MAS.

Independent variables

The independent variables had three subcategories: sociodemographic variables (age, residence, educational status, religion, occupation, and marital status), obstetrics-related factors: (parity, gestational age, antenatal care follow-up, anemia, preeclampsia, antepartum hemorrhage, gestational diabetes mellitus, oligohydramnios, induction of labor, infection, mode of delivery, duration of labor, the premature rupture of membrane, and obstructed labor), and neonatal-related factors (sex of neonates, fetal presentation, birth weight, fetal distress, intrauterine meconium release, Apgar score at 1 and 5 min).

Operational definition

Apgar score assessment: It is carried out in the first minute and resuscitation measures are made (if necessary) to improve and again measured at 5 min. 14

NICU: It is a care unit for neonates in that care is given for neonatal complications.

Data collection instrument and procedure

The tool was developed and modified based on previously published studies.6,1417 Data were collected using both interview and chart review by three Bachelor of Science degree nurses who were trained for this purpose. Neonates born at this hospital and those born elsewhere who were referred to this hospital were included in the study.

Data quality assurance

Data quality was assured by pretesting instruments on 5% of the total sample size and supervision of data collectors by two senior Bachelor of Science degree nurses. The training was given to data collectors and the investigators about the objective of the study and ways of data collection. The supervisors checked daily for completeness and consistency of the filled questionnaire. Data completeness and consistency were checked before data entry.

Statistical analysis

All data collected were checked and coded before it is fed to the computer database. Data were entered by using EpiData version 3.1 (software solutions development company, Buenos Aires, Distrito Federal, Argentina) and analyzed using SPSS version 24 software (a statistical software suite developed by IBM headquartered in Chicago and incorporated in Delaware). Descriptive findings were presented by frequency tables and percentages. Multicollinearity and goodness of fit test were done using the Hosmer–Lemeshow model goodness fit test. To determine the independent determinants associated with MAS, bivariate analysis was done and variables with a p value of <0.05 were taken to multivariate logistic regression analysis. AOR with 95% confidence interval (CI) was calculated and statistical significance was declared at a p value less or equal to 0.05.

Result

Sociodemographic characteristics of mothers

Two hundred forty-nine (83 cases and 166 controls) mothers with their respective neonates were included in this study and that made the overall response rate 100%. The overall sociodemographic characteristics of mothers are described below (Table 2).

Table 2.

Sociodemographic characteristics of mothers at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, 2022.

Variable (n = 249) Category Case (n = 83) Control (n = 166)
Frequency Percent Frequency Percent
Age of mothers ⩽24 years 27 32.5 30 18.1
25–29 years 26 31.3 64 38.6
30–34 years 20 24.1 52 31.3
⩾35 years 10 12.0 20 12.0
Residence of mothers Rural 44 53.0 90 54.2
Urban 39 47.0 76 45.8
Educational status of mothers Not formally educated 33 39.8 63 38.0
Primary 19 22.9 25 15.1
Secondary 16 19.3 39 23.5
Higher education 15 18.1 39 23.5
Religion of mothers Muslim 11 13.3 22 13.3
Orthodox 20 24.1 43 25.9
Protestant 45 54.2 75 45.2
Catholic 4 4.8 19 11.4
Others 3 3.6 7 4.2
Occupation of mothers Housewife 42 50.6 76 45.8
Private employee 3 3.6 10 6.0
Government employee 11 13.3 35 21.1
Merchant 10 12.0 17 10.2
Student 17 20.5 28 16.9
Marital status Married 78 94.0 149 89.8
Single 2 2.4 11 6.6
Widowed 2 2.4 5 3.0
Divorce 1 1.2 1 0.6

Obstetric factors

More than half, 42 (50.6%) of cases and 111 (66.9%) of controls were multiparas. Preeclampsia, antepartum hemorrhage, and oligohydramnios were more common in cases than in controls. Duration of labor for 51 (61.4%) cases was greater than or equal to 12 h; however, 141(84.9%) of controls was less than 12 h. The majority of mothers, 72 (86.7%) of cases, and 144 (68.7%) of controls gave birth in hospital. Premature rupture of membrane occurred for 52 (62.7%) of cases; however, it did occur only for 7 (4.2%) of controls. The labor was not obstructed for 45 (54.2%) of cases and 159 (95.8%) of controls (Table 3).

Table 3.

Obstetric factors of mothers at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, 2022.

Variable (n = 249) Category Case (n = 83) Control (n = 166)
Frequency Percent Frequency Percent
Parity Primipara 41 49.4 55 33.1
Multipara 42 50.6 111 66.9
Gestational age ⩾36 weeks 55 33.1 24 14.5
37–42 weeks 60 72.3 135 81.3
>42 weeks 7 8.4 7 4.2
Antenatal care follow-up Yes 58 69.9 115 69.3
No 25 30.1 51 30.7
Anemia Yes 32 38.6 52 31.3
No 51 61.4 114 68.7
Preeclampsia Yes 20 24.1 11 6.6
No 63 75.9 155 93.4
Antepartum hemorrhage Yes 30 36.1 23 13.9
No 53 63.9 143 86.1
Gestational diabetes mellitus Yes 13 15.7 17 10.2
No 70 84.3 149 89.8
Oligohydramnios Yes 12 14.5 11 6.6
No 71 85.5 155 93.4
Induction of labor Yes 19 22.9 16 9.6
No 64 77.1 150 90.4
Infection Yes 12 14.5 15 9.0
No 71 85.5 151 91.0
Mode of delivery Spontaneous vaginal 45 54.2 138 83.1
Cesarean section 34 41.0 23 13.9
Instrumental 4 4.8 5 3.0
Duration of labor >12 h 51 61.4 25 15.1
<12 h 32 38.6 141 84.9
Place of delivery Home 2 2.4 15 9.0
Health center 8 9.6 34 20.5
Private clinic 1 1.2 3 1.8
Hospital 72 86.7 114 68.7
Premature rupture of membrane Yes 52 62.7 7 4.2
No 31 37.3 159 95.8
Obstructed labor Yes 38 45.8 7 4.2
No 45 54.2 159 95.8

Neonatal factors

The overall description of neonatal factors is given in Table 4.

Table 4.

Neonatal factors of neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, 2022.

Variable (n = 249) Category Case (n = 83) Control (n = 166)
Frequency Percent Frequency Percent
Sex of neonates Male 39 47.0 66 39.8
Female 44 53.0 100 60.2
Fetal presentation Vertex 77 92.8 160 96.4
Nonvertex 6 7.2 6 3.6
Birth weight <2.49 kg 19 22.9 25 15.1
2.5–4.0 kg 56 67.5 125 75.3
>4.0 kg 8 9.6 16 9.6
Fetal distress Yes 75 90.4 20 12.0
No 8 9.6 146 88.0
Intrauterine meconium release Yes 66 79.5 7 4.2
No 17 20.5 159 95.8
Apgar scored at 1 min ⩽3 13 15.7 2 1.2
4–6 66 79.5 78 47.0
⩾7 4 4.8 86 51.8
Apgar scored at 5 min ⩽3 0 0.0 0 0.0
4–6 70 84.3 35 21.1
⩾7 13 15.7 131 78.9

Determinants associated with MAS

In bivariate logistic regression analysis, parity, preeclampsia, antepartum hemorrhage, oligohydramnios, duration of labor, place of delivery, premature rupture of membrane, and obstructed labor were associated with MAS. Whereas in multivariate logistic regression analysis, preeclampsia (AOR: 3.35, 95% CI: 1.02, 10.97), antepartum hemorrhage (AOR: 3.63, 95% CI: 1.50, 8.78), duration of labor (AOR: 4.34, 95% CI: 1.83, 10.30), premature rupture of membrane (AOR: 16.02, 95% CI: 5.66, 45.29), and obstructed labor (AOR: 4.57, 95% CI: 1.42, 14.70) were associated with MAS (Table 5).

Table 5.

Bivariable and multivariable logistic regression analysis of MAS among neonates admitted to neonatal care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia, 2022.

Variables (n = 249) Category MAS COR(95% CI) AOR (95% CI) p value
Case (n = 83) Control (n = 166)
Parity Primipara 41 (16.5%) 55 (22.1%) 1.97 (1.15, 3.37) 0.91 (0.38, 2.17) 0.833
Multipara 42 (16.9%) 111 (44.6%) 1 1
Preeclampsia Yes 20 (8.0%) 11 (4.4%) 4.47 (2.03, 9.87) 3.35 (1.02, 10.97) 0.046*
No 63 (25.3%) 155 (62.2%) 1 1
Antepartum hemorrhage Yes 30 (12.0%) 23 (9.2%) 3.52 (1.88, 6.59) 3.63 (1.50, 8.78) 0.004*
No 53 (21.3%) 143 (57.4%) 1 1
Oligohydramnios Yes 12 (4.8%) 11 (4.4%) 2.38 (1.03, 5.66) 1.21 (0.31, 4.65) 0.787
No 71 (28.5%) 155 (62.2%) 1 1
Duration of labor <12 h 51 (20.5%) 25 (10.0%) 1 1
⩾12 h 32 (12.9%) 141 (56.6%) 8.99 (4.87, 16.60) 4.34 (1.83, 10.30) 0.001*
Place of delivery Home 2 (0.8%) 15 (6.0%) 4.74 (1.05, 21.33) 2.42 (0.31, 18.88) 0.399
Health center 8 (3.2%) 34 (13.7%) 2.68 (1.18, 6.12) 0.67 (0.23, 1.94) 0.462
Private clinic 1 (0.4%) 3 (1.2%) 1.89 (0.19, 18.57) 3.12 (0.19, 48.64) 0.418
Hospital 72 (28.9%) 114 (45.8%) 1 1
Premature rupture of membrane Yes 52 (20.9%) 7 (2.8%) 38.10 (15.84, 91.67) 16.02 (5.66, 45.29) 0.000*
No 31 (12.4%) 159 (63.9%) 1 1
Obstructed labor Yes 38 (15.3%) 7 (2.8%) 19.18 (8.02, 45.85) 4.57 (1.42, 14.70) 0.011*
No 45 (18.1%) 159 (63.9%) 1 1

1, reference group; AOR, adjusted odds ratio; CI, confidence interval; COR, crude odds ratio; MAS, meconium aspiration syndrome.

*

p value < 0.05 in adjusted odds ratio.

Discussion

In this study, after controlling for confounding factors, preeclampsia, antepartum hemorrhage, duration of labor, premature rupture of membrane, and obstructed labor were found to be determinant risk factors of MAS.

This study indicated that preeclampsia plays a significant role in the occurrence of MAS among neonates. The odds of MAS increased about 3.35 times more comparing neonates whose mothers had preeclampsia during pregnancy to those neonates whose mothers did not have preeclampsia during pregnancy. This finding was supported by another study that indicated the odds of MAS increased about 1.7 times more likely among neonates whose mothers had pregnancy-induced hypertension compared to neonates whose mothers did not have pregnancy-induced hypertension. 18 Other studies also revealed that meconium aspiration was statistically associated with mothers who had a hypertensive disorder in pregnancy.10,11,1921 On the other hand, the relationship between pregnancy hypertensive disorders and meconium aspiration had not been found in other studies.22,23 This might be due to the natural property of the diseases and the similarity in management protocol across various nations. It also might be due to differences in sample size and study design as others used retrospective cohort study design.

The odds of MAS increased about 3.63 times more comparing neonates whose mothers had antepartum hemorrhage during pregnancy to those mothers who did not have antepartum hemorrhage during pregnancy. This was supported by a study that stated antepartum hemorrhage is a risk factor for MAS. 20 In another study, respiratory tract infections and anemia during pregnancy were explained as risk factors for MAS10,24 but, not showed significance in this study.

The odds of MAS increased about 4.34 times more comparing neonates whose labor duration was greater than or equal to 12 h to those whose neonates duration of labor was less than 12 h. Another study indicated that the duration of the first and second labor stages had a statistical association with MAS. 10 The likely cause of meconium passage is the result of transient stimulation of parasympathetic nerves due to cord compression. 25 In another study, the passage of meconium in utero is considered a sign of fetal distress. 6 Prolonged labor is also stated as a risk factor for MAS.16,2628 This is due to the risk that the fetus can have a high possibility to aspirate the amniotic fluid.

The odds of MAS increased about 16 times more comparing neonates whose mothers had premature rupture of the membrane to those mothers who did not have the premature rupture of membrane. Other studies indicated that premature rupture of the membrane to delivery interval had a statistical association with MAS.10,25,26 This might be due to the reason that a fetus can have a high possibility to swallow the amniotic fluid when the membrane is ruptured before labor.

The odds of MAS increased about 4.57 times more comparing neonates whose labor was obstructed to those whose labor did not obstruct. This was supported by another study that indicated labor dystocia was found to be a highly statistically significant factor of MAS. 29 This might be due to the reason that during obstructed labor, both rupture of membranes and intrauterine release of meconium can occur, which could lead to fetal inhalation of meconium.

However, this study did not identify some variables such as maternal age, parity, induction of labor, sex of neonate, and antenatal care9,10,12,30 that were significantly associated in other studies. This variation might be due to differences in sample size and the nature of the design used.

Limitation of the study

Geographically, the study was limited to a single institution. In addition, there can be typical biases of retrospective studies including the possibility of misclassification of MAS, and this study did not explore MAS and did not link the severity of MAS risk factors to outcomes such as survival, neonatal morbidity, and stay in NICU.

Conclusion

In this study, preeclampsia, antepartum hemorrhage, prolonged duration of labor, premature rupture of membranes, and obstructed labor were correlated with admission for MAS at the NICU in Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital. Prevention, early identification, and appropriate management of these conditions may lead to a reduction in MAS but further prospective studies are required.

Supplemental Material

sj-docx-1-smo-10.1177_20503121221124693 – Supplemental material for Determinants of meconium aspiration syndrome among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia: Unmatched case–control study

Supplemental material, sj-docx-1-smo-10.1177_20503121221124693 for Determinants of meconium aspiration syndrome among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia: Unmatched case–control study by Seife Awgchew and Elias Ezo in SAGE Open Medicine

Acknowledgments

We would like to thank data collectors, supervisors, and study participants for their openness to participate kindly provision of the necessary information and scarification of their valuable time. We also thank Wachemo University for funding this research.

Footnotes

Author contributions: All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis, and interpretation, or in all areas; took part in drafting, revising, and critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agreed to be accountable for all aspects of the work.

Availability of data: The data used for analysis are available on secure and reasonable request.

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ethical consideration: Ethical approval letters were obtained from Wachemo University’s ethical review committee WURCSVPO546/2014. A permission letter was also secured from the Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received funding from Wachemo University for this study.

Informed consent: Oral informed consent was obtained from each neonate’s mother and the overall process was reviewed and approved by the ethical review committee of Wachemo University. The information obtained from them would not have been disclosed was informed. Coding was used to eliminate respondents’ names and other personal identification to ensure anonymity, privacy, and confidentiality.

Supplemental material: Supplemental material for this article is available online.

Reference

  • 1. Jain PG, Sharma R, Bhargava M. Perinatal outcome of meconium stained liquor in pre-term, term and post-term pregnancy. Indian J Obstet Gynecol Res 2017; 4(2): 146–150. [Google Scholar]
  • 2. Biradar A, Kori S, Patil N, et al. Meconium stained liquor and perinatal outcome. Int J Reprod Contracept Obst Gynecol 2018; 7(12): 5056–5060. [Google Scholar]
  • 3. Vahanian SA, Lavery JA, Ananth CV, et al. Placental implantation abnormalities and risk of preterm delivery: a systematic review and metaanalysis. Am J Obstet Gynecol 2015; 213(4 Suppl.): S78–S90. [DOI] [PubMed] [Google Scholar]
  • 4. Saranappa SSB. Meconium aspiration syndrome and neonatal outcome: a hospital based study. Int J Contemporary Pediatrics 2019; 6(3): 1330–1335. [Google Scholar]
  • 5. Roett MA, Lawrence D, Bennett KM. Meconium aspiration syndrome. MSD manual Profess Version, pp. 1–9, https://www.msdmanuals.com/en-in/professional/pediatrics/respiratory-problems-in-neonates/meconium-aspiration-syndrome
  • 6. Hiremath PB, Gane B, Meenal C, et al. The management practices and outcome of meconium stained amniotic fluid. Int J Biol Med Res 2012; 3(3): 2204–2207. [Google Scholar]
  • 7. Shaikh EM, Mehmood S, Shaikh MA. Neonatal outcome in meconium stained amniotic fluid-one year experience. J Pak Med Assoc 2010; 60(9): 711–714. [PubMed] [Google Scholar]
  • 8. Goel A, Nangia S. Meconium aspiration syndrome: challenges and solutions. Published Online 2017: 19–28. [Google Scholar]
  • 9. Addisu D, Asres A, Gedefaw G, et al. Prevalence of meconium stained amniotic fluid and its associated factors among women who gave birth at term in Felege Hiwot comprehensive specialized referral hospital, North West Ethiopia: a facility based cross-sectional study. BMC Pregn Childbirth 2018; 18: 429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Rovas L, Razbadauskas A, Boguziene E. Risk factors that can lead to development of meconium aspiration syndrome. Obstet Gynecol Int J 2018; 9(3): 208212. [Google Scholar]
  • 11. Khatun HA, Arzu J, Haque E, et al. Fetal outcome in deliveries with meconium stained liquor. Bangladesh J Child Health 2009; 33: 41–45. [Google Scholar]
  • 12. Elmi Farah A, Abbas AH, Tahir Ahmed A. Trends of admission and predictors of neonatal mortality: a hospital based retrospective cohort study in Somali region of Ethiopia. PLoS ONE 2018; 13(9): e0203314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Mini demographic and health survey, 2019. Ethiopian Public Health Institute Addis Ababa, The DHS Program, Rockville, MD: Addis Ababa, 2021, https://www.unicef.org/ethiopia/media/1721/file/The%202019%20Ethiopia%20Mini%20Demographic%20and%20Health%20Survey%20.pdf
  • 14. Girma T, Fikadu H, Goitom G, et al. Paediatrics child health lecture note for health science students. The Carter Center (EPHTI) The Federal Democratic Republic of Ethiopia Ministry of Education Ministry of Health, Jimma Debub Gondar Alemaya Universities, 2016, Pp. 97. [Google Scholar]
  • 15. Dargaville PA. Respiratory support in meconium aspiration syndrome: a practical guide. Int J Pediatr 2012; 2012: 965159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Kalra VK, Lee HC, Sie L, et al. Change in neonatal resuscitation guidelines and trends in incidence of meconium aspiration syndrome in California. J Perinatol 2020; 40(1): 46–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Grunebaum A, McCullough LB, Sapra KJ, et al. Apgar score of 0 at 5 minutes and neonatal seizures or serious neurologic dysfunction in relation to birth setting. Am J Obstet Gynecol 2013; 209(4): 323. [DOI] [PubMed] [Google Scholar]
  • 18. Li-Te Lin, et al. Pregnancy-induced hypertension is an independent risk factor for meconium aspiration syndrome: a retrospective population based cohort study. Taiwanese J Obstetric Gynecol 2019; 58: 396–400. [DOI] [PubMed] [Google Scholar]
  • 19. Mundhra R, Agarwal M. Fetal outcome in meconium stained deliveries. J Clin Diagn Res 2013; 7: 2874–2876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Rajput U, Jain A. Impact of meconium stained amniotic fluid on early neonatal outcome. J Evolut Med Dental Sci 2013; 2(45)): 8788–8794. [Google Scholar]
  • 21. Fischer C, Rybakowski C, Ferdynus C, et al. A population-based study of meconium aspiration syndrome in neonates born between 37 and 43 weeks of gestation. Int J Pediatr 2012; 2012: 321545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Dargaville PA, Copnell B. Australian and New Zealand Neonatal Network The epidemiology of meconium aspiration syndrome: incidence, risk factors, therapies, and outcome. Pediatrics 2006; 117(5): 1712–1721. [DOI] [PubMed] [Google Scholar]
  • 23. Paz Y, Solt I, Zimmer EZ. Variables associated with meconium aspiration syndrome in labours with thick meconium. Eur J Obstet Gynecol Reprod Biol 2001; 94(1): 27–30. [DOI] [PubMed] [Google Scholar]
  • 24. Oliveira CPL, Florde-Lima F, Rocha GMD, et al. Meconium aspiration syndrome: risk factors and predictors of severity. J Matern Fetal Neonatal Med 2019; 32: 1492–1498. [DOI] [PubMed] [Google Scholar]
  • 25. Joseph K, UdayKiran G, Reddy DR, et al. Incidence of meconium aspiration syndrome and associated risk factors in babies born to mothers with meconium stained amniotic fluid. Int J Contempor Med Res 2017; 4(7): 1457–1461. [Google Scholar]
  • 26. Swain P, Thapalial A. Meconium stained amniotic fluid—a potential predictor of meconium aspiration syndrome. J Nepal Paediatric Soc 2008; 28; 3–6. [Google Scholar]
  • 27. Chiruvolu A, Miklis KK, Chen E, et al. Delivery room management of meconium-stained newborns and respiratory support. Pediatrics 2018; 142(6): e20181485. [DOI] [PubMed] [Google Scholar]
  • 28. Monfredini C, Cavallin F, Villani PE, et al. Meconium aspiration syndrome: a narrative review. Children 2021; 8: 230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Sundaram R, Murugesan A. Risk factors for meconium stained amniotic fluid and its implications. Int J Reprod Contracept Obstetric Gynecol 2016; 5: 2503–2506. [Google Scholar]
  • 30. Fischer C, Rybakowski C, Ferdynus C, et al. A population-based study of meconium aspiration syndrome in neonates born between 37 and 43 weeks of Gestation Hindawi publishing Corporation. Int J Pediatr 2012; 2012: 321545. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sj-docx-1-smo-10.1177_20503121221124693 – Supplemental material for Determinants of meconium aspiration syndrome among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia: Unmatched case–control study

Supplemental material, sj-docx-1-smo-10.1177_20503121221124693 for Determinants of meconium aspiration syndrome among neonates admitted to neonatal intensive care unit at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, South Ethiopia: Unmatched case–control study by Seife Awgchew and Elias Ezo in SAGE Open Medicine


Articles from SAGE Open Medicine are provided here courtesy of SAGE Publications

RESOURCES