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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.^3–7 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.^9–11

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.^6,14–17 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)
Variable (n = 249)	Category	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
Residence of mothers	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)
Variable (n = 249)	Category	Frequency	Percent	Frequency	Percent
Parity	Primipara	41	49.4	55	33.1
Parity	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
Antenatal care follow-up	No	25	30.1	51	30.7
Anemia	Yes	32	38.6	52	31.3
Anemia	No	51	61.4	114	68.7
Preeclampsia	Yes	20	24.1	11	6.6
Preeclampsia	No	63	75.9	155	93.4
Antepartum hemorrhage	Yes	30	36.1	23	13.9
Antepartum hemorrhage	No	53	63.9	143	86.1
Gestational diabetes mellitus	Yes	13	15.7	17	10.2
Gestational diabetes mellitus	No	70	84.3	149	89.8
Oligohydramnios	Yes	12	14.5	11	6.6
Oligohydramnios	No	71	85.5	155	93.4
Induction of labor	Yes	19	22.9	16	9.6
Induction of labor	No	64	77.1	150	90.4
Infection	Yes	12	14.5	15	9.0
Infection	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
Duration of labor	<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
Premature rupture of membrane	No	31	37.3	159	95.8
Obstructed labor	Yes	38	45.8	7	4.2
Obstructed labor	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)
Variable (n = 249)	Category	Frequency	Percent	Frequency	Percent
Sex of neonates	Male	39	47.0	66	39.8
Sex of neonates	Female	44	53.0	100	60.2
Fetal presentation	Vertex	77	92.8	160	96.4
Fetal presentation	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
Fetal distress	No	8	9.6	146	88.0
Intrauterine meconium release	Yes	66	79.5	7	4.2
Intrauterine meconium release	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
Variables (n = 249)	Category	Case (n = 83)	Control (n = 166)	COR(95% CI)	AOR (95% CI)	p value
Parity	Primipara	41 (16.5%)	55 (22.1%)	1.97 (1.15, 3.37)	0.91 (0.38, 2.17)	0.833
Parity	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*
Preeclampsia	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*
Antepartum hemorrhage	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
Oligohydramnios	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*
Premature rupture of membrane	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*
Obstructed labor	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.^{10,11,19–21} 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 MAS^10,24 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.^16,26–28 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 care^9,10,12,30 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 Seifu Awgchew and Elias Ezo in SAGE Open Medicine

Footnotes

Acknowledgements

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.

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.

ORCID iD

Elias Ezo

Supplemental material

Supplemental material for this article is available online.

References

Jain

Sharma

Bhargava

Perinatal outcome of meconium stained liquor in pre-term, term and post-term pregnancy. Indian J Obstet Gynecol Res 2017; 4(2): 146–150.

Biradar

Kori

Patil

, et al. Meconium stained liquor and perinatal outcome. Int J Reprod Contracept Obst Gynecol 2018; 7(12): 5056–5060.

Vahanian

Lavery

Ananth

, 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.

Saranappa

SSB

. Meconium aspiration syndrome and neonatal outcome: a hospital based study. Int J Contemporary Pediatrics 2019; 6(3): 1330–1335.

Roett

Lawrence

Bennett

. 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

Hiremath

Gane

Meenal

, et al. The management practices and outcome of meconium stained amniotic fluid. Int J Biol Med Res 2012; 3(3): 2204–2207.

Shaikh

Mehmood

Shaikh

MA.

Neonatal outcome in meconium stained amniotic fluid-one year experience. J Pak Med Assoc 2010; 60(9): 711–714.

Goel

Nangia

. Meconium aspiration syndrome: challenges and solutions. Published Online 2017: 19–28.

Addisu

Asres

Gedefaw

, 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.

10.

Rovas

Razbadauskas

Boguziene

Risk factors that can lead to development of meconium aspiration syndrome. Obstet Gynecol Int J 2018; 9(3): 208212.

11.

Khatun

Arzu

Haque

, et al. Fetal outcome in deliveries with meconium stained liquor. Bangladesh J Child Health 2009; 33: 41–45.

12.

Elmi Farah

Abbas

Tahir Ahmed

. 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.

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

Fikadu

Goitom

, 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.

15.

Dargaville

PA.

Respiratory support in meconium aspiration syndrome: a practical guide. Int J Pediatr 2012; 2012: 965159.

16.

Kalra

Lee

Sie

, et al. Change in neonatal resuscitation guidelines and trends in incidence of meconium aspiration syndrome in California. J Perinatol 2020; 40(1): 46–55.

17.

Grunebaum

McCullough

Sapra

, 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.

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.

19.

Mundhra

Agarwal

Fetal outcome in meconium stained deliveries. J Clin Diagn Res 2013; 7: 2874–2876.

20.

Rajput

Jain

Impact of meconium stained amniotic fluid on early neonatal outcome. J Evolut Med Dental Sci 2013; 2(45)): 8788–8794.

21.

Fischer

Rybakowski

Ferdynus

, 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.

22.

Dargaville

Copnell

. Australian and New Zealand Neonatal Network The epidemiology of meconium aspiration syndrome: incidence, risk factors, therapies, and outcome. Pediatrics 2006; 117(5): 1712–1721.

23.

Paz

Solt

Zimmer

EZ.

Variables associated with meconium aspiration syndrome in labours with thick meconium. Eur J Obstet Gynecol Reprod Biol 2001; 94(1): 27–30.

24.

Oliveira

CPL

Florde-Lima

Rocha

GMD

, et al. Meconium aspiration syndrome: risk factors and predictors of severity. J Matern Fetal Neonatal Med 2019; 32: 1492–1498.

25.

Joseph

UdayKiran

Reddy

, 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.

26.

Swain

Thapalial

Meconium stained amniotic fluid—a potential predictor of meconium aspiration syndrome. J Nepal Paediatric Soc 2008; 28; 3–6.

27.

Chiruvolu

Miklis

Chen

, et al. Delivery room management of meconium-stained newborns and respiratory support. Pediatrics 2018; 142(6): e20181485.

28.

Monfredini

Cavallin

Villani

, et al. Meconium aspiration syndrome: a narrative review. Children 2021; 8: 230.

29.

Sundaram

Murugesan

Risk factors for meconium stained amniotic fluid and its implications. Int J Reprod Contracept Obstetric Gynecol 2016; 5: 2503–2506.

30.

Fischer

Rybakowski

Ferdynus

, 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.

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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

Abstract

Objective:

Method:

Result:

Conclusion:

Keywords

Introduction

Methods and materials

Study area and period

Study design

Study population

Eligibility criteria

Sample size determination

Sampling procedure

Study variable

Independent variables

Operational definition

Data collection instrument and procedure

Data quality assurance

Statistical analysis

Result

Sociodemographic characteristics of mothers

Obstetric factors

Neonatal factors

Determinants associated with MAS

Discussion

Limitation of the study

Conclusion

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

Footnotes

Acknowledgements

Author contributions

Availability of data

Declaration of conflicting interests

Ethical consideration

Funding

Informed consent

ORCID iD

Supplemental material

References

Supplementary Material