case report

Risk Factors for Early Neonatal Mortality at Souissi Maternity Hospital, Rabat, Morocco

Mohamed Sellouti¹*, Jalal kaswati², Amina Barkat¹,³

1National Reference Center in Neonatology and Nutrition, Children’s Hospital, University Hospital, Rabat, Morocco

2Research Team on Health and Nutrition of Mother and Child, University Mohammed V Souissi, Rabat, Morocco

3Laboratory for Biostatistics and Clinical and Epidemiological Research, Faculty of Medicine and Pharmacy, Rabat, Morocco

*Corresponding author: Mohamed Sellouti, National Reference Center in Neonatology and Nutrition, Children’s Hospital, University Hospital, Rabat, Morocco

Received Date: 24 February, 2020; Accepted Date: 04 March, 2020; Published Date: 09 March, 2020

Citation: Sellouti M, kaswati J, Barkat A (2020) Risk Factors for Early Neonatal Mortality at Souissi Maternity Hospital, Rabat, Morocco. Adv Pediatr Neonatol care APNC-106. DOI: 10.29011/APNC-106.100006

Abstract

Background: Neonatal mortality is a major contingents of infant mortality in developing countries. This study was conducted to identify the determinants of early neonatal mortality.

Patients and Methods: A prospective, descriptive study was conducted at Souissi Maternity Hospital over a 1-year period from January 1st, 2015 till December 31st 2015 occurring in the national reference center in neonatology of the University Hospital Center of Rabat.

Results: 21.4% of newborns died within the first 7 days of life (early neonatal mortality). Neonatal factors significantly associated with a higher risk of neonatal death were, the Apgar score less than 7 (OR = 2.65; 95% CI (1.038-6.768); p = 0.042), low birth weight (OR = 0.003; 95% CI (0.0001-0.031); p = 0.001), prematurity (OR = 16.65; 95% CI (3.373-82.242); p = 0.001), and neonatal infection (OR = 8.66; IC 95 % ((2.156-34.846); p = 0.002). Regarding mother’s profile, birth intervals less than two years (OR = 9.2; 95% CI (2.666-31.79) ; p = 0.001), and being a housewife (OR = 0.25; 95% CI (0.082-0.77); p = 0.001) are associated with neonatal deaths.

Conclusion: Neonatal mortality rate remains high, although efforts have been made to reduce it. Different risk factors associated with neonatal mortality have been identified. Addressing these factors could reduce neonatal deaths in low resource settings.

Introduction

Neonatal mortality remains a major worldwide public health problem. In general, it reflects the living and socioeconomic development conditions, the access to health services, the quality of the services and the maternal and child healthcare resources available. Neonatal deaths account for more than 60% of newborn deaths before the first year of life [1]. It is composed of early neonatal mortality where death occurs within the first seven days of life and late neonatal mortality expressing the occurrence of death from the 8th to 27th day of life. The early neonatal period is very critical because almost two thirds of these deaths occur during this period [2]. Reducing neonatal mortality is imperative to reduce infant mortality [3]. Africa has the highest neonatal mortality rate estimated at 45 deaths per 1,000 live births compared to 5 deaths for developed countries. [4]. One of the indicators of a country’s level of development is infant mortality. Its reduction is one of the Millennium Development Goals (MDGs). The aim of this study was to identify risk factors for early neonatal death at Souissi Maternity Hospital, Rabat, Morocco.

Methods

A prospective, descriptive study was conducted at Souissi Maternity Hospital over a 1-year period from January 1 st, 2015 till December 31 st 2015 occurring in the national reference center in neonatology of the University Hospital Center of Rabat.

This center, located in the city of Rabat, capital of Morocco, represents the national and regional reference center according to the health system of Morocco. He receives from all regions of the kingdom and whose annual number of deliveries is estimated at an average of 13,000. He has a resuscitation unit, intensive care unit and a kangaroo unit.

Cases were consists of all newborns admitted to the neonatal service during the study period. We excluded all children over 28 days old, as well as all newborns whose medical records were unusable. The sampling was exhaustive. In this study, we tried to collect the maximum amount of data from the archived files and the files of newborns in the neonatology department.

Factors analyzed were the maternal risk factors (age, parity, profession, maternal pregnancy pathologies, and mode of delivery), and neonatal factors (gender, birth weight, APGAR score, diagnosis admission, and age of death).

Statistical analyses were performed using SPSS version. A conditional logistic regression model was used to calculate the crude odds ratio and adjusted odds ratios with 95% confidence intervals for any association with neonatal death. The χ2 test was used for the comparison of the proportions. P < 0.05 was considered statistically significant.

Results

Characteristics of the Sample

A total of 154 cases of neonatal death were included in the main analysis of this study. 33 (21.4%) died before the 8th day of life (early neonatal mortality). Regarding the newborns, there was a higher proportion of males among the deaths 95(61.7%), with a sex ratio of 1.25. Thirty one (20.1%) mothers of newborns were less than 20 years old, 84 (54.6%) between 20 and 40 years. It was noted that 73 (47.4%) mothers had a primary schooling education, 50 (32.5%) a secondary schooling education, and 31 (20.1%) a higher schooling education (Table I).

Antenatal and Perinatal History

With regard to the pregnancy characteristics ,105 mothers (68.2%) did not follow their pregnancies or did not follow their pregnancies well (Table II), 62 (40.3%) were primiparous and 140 (91%) had mono-fetal pregnancies. Regarding the perinatal history, the cesarean section rate was 39%. Cephalic presentation was the most frequent with 137 (89%). Other presentations represented 9.7%, 1% and 0.3% respectively for the seat, transverse and shoulder presentations. Amniotic fluid was clear in 70% of the cases, meconial in 13% of the cases, tinted in 17% of the cases.

Determinants of Early Neonatal Mortality

Table III presents the results of associations between early neonatal mortality and the characteristics of newborns. Apgar score, birth weight, gestational age, birth asphyxia, neonatal infection are significantly associated with early neonatal mortality.

Table IV shows the relationship between the profile of mothers with early neonatal mortality. Regarding mother’s profile, antenatal care visits, birth intervals less than two years and the profession are significantly linked to early neonatal mortality. Mothers with a birth intervals less than two years and women who stay at home have a higher proportion of infants who die early.

Discussion

The retrospective study was carried out at a tertiary hospital, the majority of the data was well informed. However, for some mothers transferred from the surrounding health centers, prenatal consultation books were unavailable, making certain prenatal and birth data inaccessible. Thus, the results obtained remain valid for the purposes of the study and do not reflect the situation in the general population. They will constitute reference data for the next studies.

Early neonatal mortality is estimated at 21.4%. The study conducted at the maternity of tertiary care hospital in Dakar showed a similar result with 27.4% of deaths in early neonatal period [5].

Regarding mother’s profile, the absence of or inadequate prenatal care, birth intervals less than two year has been highlighted as an important risk factor associated with neonatal death. Mohammad et al revealed that inadequate prenatal care is one of the common causes of neonatal mortality [6]. Similarly, the risk of obstetric complications tends to increase with multiparity and thus increases the risk of neonatal mortality. A small birth intervals less than 24 months has also been associated with an increased risk of neonatal mortality [7,8]. The heavy workload and the insufficient income of housewives imply a poor condition of mothers during pregnancy, thus causing a complication during childbirth.

Maternal age under 20 was a risk factor (p = 0.0001). However, age over 30 was not associated with this mortality. These results corroborate those of Merger et al. in 2001 who showed that the neonatal mortality rate is higher in younger women. In addition Blondel and Bréart in France in 1999 show that the risk of death, compared to a woman of 20 years, was multiplied by 3 between 35 and 39 years, by 5 between 40 and 44 years and by 15 after 45 years.

Newborns from mothers with low education were a risk factor (0.009). Several authors [9-11] showed that mother’s illiteracy is a very important risk factor for neonatal mortality. Indeed, educated mothers tend to have good prenatal care, a healthy lifestyle and food, easy access to quality health care and better know the danger signs in the baby.

We did not find any difference in mortality between the two sexes, while other studies have shown that males are a risk factor for neonatal mortality [12-14]. Birth weight is one of the best indicators of a newborn’s chance of survival. Studies have shown that there is a strong correlation between neonatal mortality and low birth weight [15].

The Apgar score reflects the vitality conditions of the newborn and is directly related to the quality of the delivery care. The score at 1 minute of life expresses the conditions of the pregnancy and the birth, while the index at 5 minutes reflects the care provided during the birth and postpartum, and the influence of factors that act even before birth. That Apgar score between zero and six at 5 minutes was strongly associated with neonality mortality (p = 0.042). Several studies have shown a strong association between early neonatal mortality and low Apgar score [16].

A significant number of deaths are recorded among mothers whose gestational age was less than 28 weeks of gestation. The association between low birth weight and death in this study reinforces this hypothesis. Indeed, these low birth weights are most often encountered either in premature babies or in newborn babies whose evolution of pregnancy had experienced some dysfunctions. Several authors in Africa [9,12,17] and Asia [18,19] have reported the same findings. To prevent the death of low birth weight babies and improve their survival, some authors [9] recommend the promotion of adequate nutrition for the mother and the prevention and management of infection during pregnancy.

The causes are numerous and there may be an entanglement of several factors. The three main direct causes of neonatal mortality in Africa are, prematurity, neonatal infection and neonatal asphyxia [20]. In our series, the predominant etiologies were in order of frequency as follows: prematurity, infections, and malformations. In his study, Ngoc indicated that 42% of neonatal mortalities were associated with prematurity, 23% with asphyxia and 13% with congenital anomalies [21]. Edmond [22,23] reported that birth asphyxia was responsible for 42% of neonatal deaths, while prematurity and infection were each responsible for 24% of neonatal mortality.

Conclusion

Neonatal mortality, a good indicator of child health, constitutes a real drama in the poorest populations of each country. The determinants of early neonatal mortality identified in this study are avoidable through better monitoring of pregnancy and good management of childbirth. These activities are already included in the existing maternal and child care programs in Morocco. Reinforcement of monitoring before and during pregnancy, during childbirth and even during the postpartum period; as well as effective management of the newborn in the first week of life, should improve the neonatal prognosis.


characteristics

Number

Percentage

 

 

 

Maternal age(years)

 

 

< 20

31

20.1

  20-30

38

24.7

30-40      

46

29.9

  >40

39

25.3

 

 

 

Mother's profession

 

 

   Housewife

93

60.4

   Executive

18

11.7

   Official

43

27.9

 

 

 

Maternal schooling

 

 

  primary

73

47.4

  Secondary

50

32.5

  Superior

31

20.1

 

 

 

Delivery type

 

 

 Vaginal

 

61

 Cesarean

 

39

 

 

 

Antenatal care visits

 

 

   > 4 (reference)

49

31.8

   None

36

23.4

   1-4

69

44.8


Table I: Demographic and clinical characteristics of the mothers of the infants who died within 28 days.

Variables

Number

percentage

 

 

 

Gestational age at birth

 

 

      28-31               

28

18.2

      32-36

90

58.4

       >37

36

23.4

 

 

 

Birth weight

 

 

  <1500g

35

22.7

  1500-2500g

69

44.8

  >2500g

50

32.5

 

 

 

Sex

 

 

    Male

95

61.7

    Female

59

38.3

 

 

 

Preterm rupture of

 

 

membranes

50

32.5

   Yes

104

67.5

   Non

 

 

 

 

 

Apgar score

 

 

    <7

24

15.6

    >7

130

84.4

 

 

 

Age de deces 

 

 

   0-6 days

33

21.4

   7-10 days

121

78.6


Table II : Clinical and delivery variables for infants who died within 28 days.

Neonatal factors

Number =154

       OR

      P value

 

 

   (IC 95%)

 

Sex

 

1.45 (0.66 - 3.17)

0.34

    Male

95

 

 

    Female

59

 

 

    Apgar score

 

 

 

    <7

24

2.65 (1.038-6.768)

0.042

    >7

130

 

 

Birth weight

 

 

 

  <1500g

35

0.003 (0.0001-0.031)

0.0001

  1500-2500g

69

0.684 (0.060-7.755)

0.759

  >2500g

50

 

 

Gestational age at birth

 

 

 

      28-31               

28

0.034 (0.009 - 0.135)

0.0001

      32-36

90

1.482 (0.406 -  5.408)

0.551

       >37

36

 

 

Final cause of death

 

 

 

   Birth asphyxia

29

0.871 (0.31-2.445)

0.792

   Immaturity

43

16.65 (3.373-82.242)

0.001

   Infections

35

8.66 (2.156-34.846)

0.002

   Congenital abnormality

13

9.75 (1.116-85.163)

0.039

   Rhesus incompatibility

5

0

0.999

  hyaline membrane disease

29

 

 


Table III: Proportion of deaths according to the characteristics of newborns.

Maternal factors

Number

OR (IC 95%)

  P value

 

154

 

 

 

Maternal age(years)

 

< 20

31

0.029 (0.007-0.121)

0.0001

  20-30

38

0.55 (0.122-2.483)

0.437

30-40      

46

1.83 (0.29-11.574)

0.519

  >40

39

 

 

 

Antenatal care visits

 

   > 4 (well followed)

49

2.95 (0.32-27.27)

0.34

   None

36

0.018 (0.005-0.063)

0.0001

   1-4(not well followed)

69

 

 

 

birth intervals

 

   < 2 years

81

9.2 (2.666-31.79)

0.0001

   >2 years

73

 

 

 

Mother's profession

 

   Housewife

93

0.25 (0.082-0.77)

0.016

   Executive

18

0.821 (0.136-4.936)

0.829

   Official

43

 

 

 

Maternal schooling

 

  primary

73

0.183 (0.051-0.658)

0.009

  Secondary

50

1.67 (0.317-8.893)

0.543

  superior

31

 

 

 

Preterm rupture of

 

membranes

 

   Yes

50

0.052 (0.019-1.141)

0.0001

   Non

104

 


Table IV: Proportion of deaths according to the profile of mothers.

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