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Research Article | Volume 10 Issue :4 (, 2020) | Pages 49 - 52
The Pattern of Admission and Outcome of Neonates Managed in The Neonatal Intensive Care Unit
1
Assistant Professor, Paediatrics, Saraswathi Institute of Medical Sciences, Hapur
Under a Creative Commons license
Open Access
Received
Oct. 12, 2020
Revised
Nov. 18, 2020
Accepted
Dec. 1, 2020
Published
Dec. 30, 2020
Abstract

Background: Neonatal mortality rate contributes significantly to under-five mortality rates. Data obtained from patterns of admission and outcomes may uncover various aspects and help in managing resources, infrastructure, and skilled personnel for better outcomes in the future. Method: This was a retrospective study conducted in the NICU at Saraswathi Institute of Medical Sciences, Hapur, India. Data of all admitted neonates were analyzed with regard to age, sex, weight, cause of admission, and outcome. Results: During the study period, a total of 175 neonates were analyzed. Males were predominant over females, with a male-to-female ratio of 1.21:1. The majority of newborns belonged to the low-birth-weight category (46.28%), followed by normal birth weight (30.28%), very low birth weight (18.28%), and extremely low birth weight (ELBW) babies. The maximum number of admissions were due to prematurity (54%), followed by neonatal sepsis (12.57%), meconium aspiration syndrome (9.17%), and birth asphyxia (9.14%). Out of 175 babies, 29 (17.14%) died. The highest mortality was found among cases of prematurity (62%), followed by birth asphyxia (20.69%), and neonatal sepsis (10.34%). Conclusion: Prematurity, neonatal sepsis, birth asphyxia, and meconium aspiration syndrome were the major indications for admission. Prematurity, birth asphyxia, and neonatal sepsis were the leading causes of mortality in this study. These mortalities can be reduced with better management of antenatal and perinatal periods, early recognition of critical conditions, timely intervention, and early referral to higher centers.

Keywords
INTRODUCTION

According to the World Health Organization (WHO), 4 million newborn deaths occur worldwide every year [1]. Among these, approximately 98% of deaths occur in developing countries, primarily due to infections, asphyxia, complications of prematurity, and low birth weight [2].

 

Neonatal mortality accounts for nearly two-thirds of infant mortality and one-third of under-five mortality worldwide [3–5]. The neonatal period is the most vulnerable stage in a child’s life. The infant mortality rate of any country reflects its socioeconomic status as well as the efficiency and effectiveness of its healthcare system and its outcomes [6].

Due to immature immunity, neonates are more prone to infections. Admissions in a Neonatal Intensive Care Unit (NICU) depend on various factors such as socioeconomic status, cultural behavior, literacy, traditional beliefs, and gender bias [7].

 

Globally, especially in developing countries, neonatal care is improving with increasing availability of trained personnel and medical resources. However, prematurity, infections, and birth asphyxia continue to be the most common causes of neonatal mortality. Many of these causes are preventable. Besides the vulnerability of the newborn, morbidity and mortality also depend upon the level of care available [8].

 

Understanding the pattern of NICU admissions and their outcomes is essential for future planning, effective management, and optimized use of resources and skilled healthcare workers. The aim of this study was to assess the major causes of NICU admissions, causes of neonatal death, and to identify gaps in care, enabling targeted interventions for better outcomes.

MATERIALS AND METHODS

This was a retrospective observational study conducted at the NICU of Saraswathi Institute of Medical Sciences, Hapur, India. All babies admitted between March 2016 and December 2016 were analyzed with respect to:

  • Age (in days)
  • Sex
  • Birth weight
  • Cause of admission
  • Duration of hospital stay
  • Outcome (survived or expired)

 

Exclusion criteria:

  • Babies with incomplete data
  • Babies admitted only for observation less than 24 hours

 

The catchment area for the NICU included local villages, especially from Hapur district, Uttar Pradesh, India.

 

NICU facilities included:

  • 12 beds
  • 10 multipara monitors
  • 2 neonatal ventilators
  • 12 radiant warmers
  • 8 phototherapy (LED type) units
  • 6 syringe pumps

 

All diagnoses were made using standard definitions. Statistical analysis was done using Chi-square tests to determine differences between categorical variables. A p-value < 0.05 was considered statistically significant.

RESULTS

During the study period, a total of 175 neonates were admitted to the NICU.

 

Table 1: Gender-Based Admission Pattern

Gender

 No. of admissions

Percentage

p value

 Males

107

61.14

0.0381

Females

88

38.86

 Total

175

100

 

Table-2: Birth Weight Based Admission Pattern.

Birth weight

Admissions

 Percentage

p value

>2.5kg

53

30.28

 <0.00001

LBW

81

46.28

VLBW

32

18.28

ELBW

9

5.14

Total

175

100

 

Table 2 shows the distribution of babies admitted according to their birth weights. ELWL were 9 (5.14%), VLWL were 32 (18.28%) and LBW were 81 (46.28%) and remaining were normal birth weight neonates. The difference was found statistically significant.

 

Table 3 shows distribution of conditions causing NICU admissions. Maximum number of babies were preterm 96(54%), more than half of all the babies, followed by sepsis 22 (12.57%), birth asphyxia 16 (9.4%), neonatal jaundice 12 (6.85%), Meconium aspiration syndrome. 10 (5.71%) and the difference was statistically significant.

 

Table-3: Cause based admission pattern.

Cause

 Admission

Percentage

P value

Preterm

96

54.85

 <0.00001

Neonatal Sepsis

22

12.57

MAS

17

9.71

Birth Asphyxia

16

9.14

Neonatal jaundice

12

6.85

Post term

3

1.71

Surgical

4

2.28

MAS

17

9.71

Hypoglycemia

1

0.05

Others (CHD, congenital malformation,aspiration)

4

2.28

 

Table- 4: Pattern of admission and death based upon the birth weight.

Birth weight

 Death

 Percentage

P value

>2.5 kg

7

24.13

0.6258

LBW

7

24.13

VLBW

10

34.48

ELBW

5

17.24

Total

29

100

 

Table 4 shows the distribution of mortality in relation with their birth weight. Out of 29 deaths maximum

belonged to VLBW group accounting 34.48%, followed by LBW7 (24.13%) and babies having normal birth

weight (24.13%) and ELBW (17.24%) and the difference was found non-significant.

 

Table- 5: distribution of diseases causing death.

Cause of death

No. of deaths

Percentage

 P value

Preterm

18

62

5.334

Birth Asphyxia

6

20.69

Neonatal sepsis

3

10.34

MAS

2

6.89

Total

29

100

 

Table 5 shows distribution of causes of death. Out of 175 admitted babies 29 were died with a mortality rate of17.14%. Maximum number of death were observed with preterm, 18 out of 29 with 62%, their various complications followed by birth asphyxia (20.69%). Third commonest cause of mortality was sepsis (10.34%) which is followed by MAS (6.89%) and was found statistically non- significant.

DISCUSSION

The benefits of neonatal intensive care are clear and there has been a significant all in neonatal mortality

 

Rate in developed countries with the advent of mechanical ventilation and the concept of neonatal intensive care [7,9]. In our study, a total of 175 babies were analyzed retrospectively. Male neonates predominate over female neonates with a male to female ratio of 1.21:1. The male predominance in our study is consistent with other studies [6,10]. This predominance of male babies indicates that male neonates are more vulnerable during the neonatal period, a finding in agreement with the well described biological survival of girls [11]. With regard to birth weights of neonates admitted, maximum number of neonates belonged to LBW  (46.28%) followed by normal birth weight and VLBW (18.28%). Similar findings were observed in studies done by Bhagat et aland Prasad V et al [12,7]. More than half (62%) of neonates were preterm and were found as most common indications of admission in NICU. Similar observations were found in studies done by Bhagat et al, Elizabeth U et al, and Prakash J et al [9, 12, 13]. Many studies reported lesser number of preterm admission in comparison to our study [14,6,7]. Second most common indications of NICU admission in our study were neonatal sepsis. Similar observation was found by Syed R. Ali [15]. Many researchers reported birth asphyxia as second most common cause of NICU admission [12]. Other important causes of indication of admission in NICU were birth asphyxia (20.69%), meconium aspiration syndrome (9.71%) and neonatal jaundice (6.85%). Narayan R reported neonatal jaundice as most common cause of admission as most of the babies in their NICU came from high altitude [6].

 

Out of 175 neonates 29 (17.14%) died in our study. Similar observations were found in studies of Bose O Toma etal, Ike Elizabeth U et aland Walanaet al. [16,9,17 ]. Narayan R found 8% mortality in their study. Mortality rate of any neonatal intensive care unit depends upon many factors other than the clinical condition of the baby such as the infrastructure, man power, skilled hands etc. Hence the mortality rate reports vary widely in different studies from different regions. Mortality rate in relation to birth weight were observed as in Normal weight (24.13%), VLBW (34.48%), LBW (24.13%)and ELBW (17.24%). Most common condition causing highest mortality were preterm associated with their different complications. Second most common cause of mortality was birth asphyxia and third commonest was neonatal sepsis followed by meconium aspiration syndrome. Similar obser-vations were found by Bhagat et al[9]. Low birth weight is one of the leading cause of admission and mortality in most of the developing countries [18]. Immaturity tends to increase the severity and complications of most of the neonatal diseases. Immature organs, therapeutic complications and specific conditions and complications in premature babies contribute to high rate of morbidity and mortality. Morbidity and mortality inversely related to their gestational age.

 

Therefore, prevention of morbidity and mortality related to prematurity will significantly reduce overall morbidity and mortality. Appropriate antenatal care, good obstetric practices, proper referral, improvement of facilities for caring for preterm babies as well as proper newborn care practices have been found to reduce morbidity and mortality from prematurity[ 19]. Neonatal sepsis is a significant cause of neonatal morbidity and mortality particularly in preterm, LBW babies [20,21]. In our study it was the third most common cause of morality.

 

The incidence of neonatal sepsis in the developed countries is 1-10/1000 where as it is roughly three times in developing countries [22]. It is estimated that around 23% of all newborn deaths are caused by birth asphyxia [23]. Following improvement in antenatal and obstetrical care in most of the developed countries the incidence of birth asphyxia has reduced significantly and less than 1 per 1000 live births die from this. Syed R Ali et al and Saleem M etal found birth asphyxia as most common cause of mortality in their studies [15,10].

CONCLUSION

Prematurity, low birth weight, birth asphyxia, neonatal sepsis, meconium aspiration syndrome, neonatal jaundice were the leading causes of admission in NICU. Prematurity, birth asphyxia neonatal sepsis were the most common causes of mortality. These mortalities can be reduced with better management of antenatal care, improved perinatal care, promoting institutional delivery, early recognition and timely intervention with early referral to tertiary care centre.

 

Limitations of Study: Surgical cases after initial stabilization transferred to paediatric surgery ward

were not followed.

 

Contributions:  Sheetal Aggarwal contributed in making concept, design and acquisition of data and

analyzed the data, drafted the article and revised critically.

REFERENCES
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  4. Saving Newborn Lives: State of the World’s Newborns. Save the Children Federation, 2001, pp. 1–49.
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  7. Prasad, Veena, and Nutan Singh. "Causes of Morbidity and Mortality Admitted in Government Medical College Haldwani in Kumoun Region Uttarakhand India." Journal of Pharmaceuticals and Biomedical Sciences (JPBMS), vol. 9, no. 23, 2011, pp. 1–4.
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