E-ISSN:2349-3267
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Research Article

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Pediatric Review - International Journal of Pediatric Research

2020 Volume 7 Number 4 April
Publisherwww.medresearch.in

To study the short-term outcome and risk factors for premature neonate born at Dr. Bhimrao Ambedkar Memorial Hospital, Raipur, Chhattisgarh, India

Phuljhele S.1, Bichpuria P.2*, Yusuf S.3, Singh A.4
DOI: https://doi.org/10.17511/ijpr.2020.i04.02

1 Sharja Phuljhele, Professor and HOD, Department of Pediatrics, Pt J.N.M. Medical College, Raipur, Chhattisgarh, India.

2* Prachi Bichpuria, Assistant Professor, Department of Pediatrics, Pt J.N.M. Medical College, Raipur, Chhattisgarh, India.

3 Samreen Yusuf, Postgraduate, Department of Pediatrics, Pt J.N.M. Medical College, Raipur, Chhattisgarh, India.

4 Abha Singh, MS, Department of OBG, Pt J.N.M. Medical College, Raipur, Chhattisgarh, India.

Background: Prematurity is the leading cause of perinatal morbidity and mortality worldwide affecting 5-10% of births. Preterm neonates have a 120 times higher risk of death than neonates. Methods: This is a prospective hospital-based observational study, conducted over a period of 1 year (March 2018 – March 2019), including a total of 1472 preterm babies. Results: A total of 1472 preterm were born during the study period. Preterm male: female was 1.1:1. Common risk factors noted were multiple pregnancies (28.46%) followed by pre-eclampsia (27.03%). A total of 66.71% of neonates were born beyond 34 weeks of gestation, 60.46% were having birth weight between 1500 and 2499 gm, 18.14% were very low birth weight (VLBW) and 4.35% were extremely low birth weight (ELBW). A total of 545 (37.02%) required NICU admission. Major morbidities noted were respiratory distress syndrome (55.59%) followed by sepsis (30.64%), perinatal asphyxia (11.19%), neonatal jaundice (10.64%) and retinopathy of prematurity (9.91%). A negative correlation was noted between gestational age and duration of stay in NICU (r = 0.98, p = 0.022). Birth weight and gestational age of neonates were significantly associated with the treatment outcome (p=0.000). Very low birth weight neonates had the highest mortality (40.85%) followed by ELBW (28.05%). Mortality of 11.14% was noted with respiratory distress syndrome (10.83%) being the major cause followed by sepsis (8.07%). Conclusions: The most common maternal risk factors noted were multiple pregnancies, preeclampsia, eclampsia, antepartum hemorrhage, and gestational hypertension. Common morbidities observed in preterm babies were respiratory distress syndrome, sepsis, perinatal-asphyxia, and neonatal-jaundice.

Keywords: Pre-term, Risk factors for prematurity, Short term outcomes

Corresponding Author How to Cite this Article To Browse
Prachi Bichpuria, Assistant Professor, Department of Pediatrics, Pt J.N.M. Medical College, Raipur, Chhattisgarh, India.
Email:
Phuljhele S, Bichpuria P, Yusuf S, Singh A. To study the short-term outcome and risk factors for premature neonate born at Dr. Bhimrao Ambedkar Memorial Hospital, Raipur, Chhattisgarh, India. Pediatric Rev Int J Pediatr Res. 2020;7(4):166-173.
Available From
https://pediatrics.medresearch.in/index.php/ijpr/article/view/591

Manuscript Received Review Round 1 Review Round 2 Review Round 3 Accepted
2020-04-06 2020-04-17 2020-04-23 2020-04-27
Conflict of Interest Funding Ethical Approval Plagiarism X-checker Note
No Nil Yes 7%

© 2020 by Sharja Phuljhele, Prachi Bichpuria, Samreen Yusuf, Abha Singh and Published by Siddharth Health Research and Social Welfare Society. This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/ unported [CC BY 4.0].

Introduction

Premature birth or preterm birth is defined as the birth occurring after 20 weeks and before 37 weeks of gestation by the World Health Organization (WHO) [1]. It is a syndrome associated with neonatal morbidity, which has adverse consequences for long-term health [2]. High neonatal mortality rates are the sum total of complications during the lives of premature infants [3]. Every year, more than 1 in 10 babies; an estimated 15 million babies, are born too early. Almost 1 million children die each year due to complications of preterm birth. The total burden of preterm birth was estimated to be 3,519,100 in 2010, with India harboring the highest number of preterm subjects. Of all early neonatal deaths (deaths within the first 7days of life) that are not related to congenital malformations, 28% are due to preterm births [4].

The rate of preterm birth in developed countries has risen, rather than fallen, over time [5] Moreover, the survival rates for very early preterm births have increased because of technological advances and the collaborative efforts of obstetricians and neonatologists. The brain[6] and lung,[7]even when most organs are immature, are especially susceptible to the consequences of preterm birth, leading to high rates of long-term neurological and health problems. The predisposing event causing pre-term birth remains unclear, although the etiology is thought to be multifactorial. Causal factors linked to preterm birth include medical conditions of the mother and fetus, genetic influences, environmental exposure, infertility treatments, behavioral and socioeconomic factors, and iatrogenic prematurity [8].

In 2010 [9] more than one in 10 of the world’s infants, of more than 15 million children, were born prematurely and more than a million of those children died secondary to complications associated with premature birth. Although preterm births at 32–36 weeks’ gestation are five times more common than births before 32 weeks’ gestation, their public-health effect has not been well studied [10]. There are substantial mortality and neonatal morbidity in late preterm births. There are higher rates of temperature instability, respiratory distress, apnoea, hypoglycemia, seizures, jaundice, kernicterus, feeding difficulties, periventricular leukomalacia, and re-hospitalizations in preterm infants, compared with infants born at term [11,12

–14]. Preterm infants also make up an important fraction of infant deaths [10].Gestational age exerts the greatest influence on outcomes of preterm births. Earlier use and an increase in of antenatal corticosteroids, [15] assisted ventilation, and surfactant, [16] and changing attitudes towards intensive care, [17] result in survival rates for very preterm births, especially those born before 28 weeks’ gestation, improving strikingly by the mid-1990s [18]. Fetal growth restriction affects survival rates—for any gestational age, growth restriction of the infant is related to the mortality rate, especially in very preterm infants [19,20,21].

The single most important cause of death in the first month of life is prematurity and in the neonatal period, it is a factor in over 75% of pediatric deaths. Prematurity is a global health problem being the second leading cause of death in children under five years old [22]. Moreover, prematurity is associated with learning and motor disabilities and with visual and hearing impairment, contributing to approximately half of the disabilities in children.

Material and Methods

Type of study: Prospective hospital-based observational study.

Study setting: Department of Paediatrics, Pt JNM Medical College, and Dr. B R Ambedkar Memorial Hospital Raipur, Chhattisgarh, India.

Study period: March 2018 – March 2019.

Study population: A total of 1472 preterm babies were studied.

Inclusion criteria: All preterm deliveries at BRAM Hospital during the study period.

Exclusion criteria: Out born preterm babies admitted in NICU.

Methodology/Data collection: Socio-demographic information was collected by using the pretested and predesigned structured proforma by interview technique. Gestational age was assessed using the modified New Ballard score. Medical records were examined to note the pregnancy history of mothers. Medical records in NICU were examined to note down the medical complications and birth weight of preterm neonates.

Data collection was divided into 3 parts:

  • Demographic and Socio-economic information of mothers and family.

  • Complications and antenatal history of mothers.
  • Medical history of preterm newborns.

Outcome variables:

Primary variables: Survival, NICU admission, duration of stay.

Secondary variables: Major morbidities prior to hospital discharge.

Statistical analysis

  • All relevant data were entered into predesigned proforma and analyzed (with the help of statistician) using Microsoft SPSS software for windows TM Version 22.0, IBM TM Corp NY, and Microsoft excel TM 2010, Microsoft Inc USA.
  • Data were expressed as a percentage and mean +/- SD.
  • Pearson correlation analysis was performed to check the correlation between categorical variables.
  • Fischer’s exact test or Chi-square test was used to analyze the significance of the difference between the distributions of the data.
  • P-value < 0.05 was considered as statistically significant.

Results

A total of 1472 preterm neonates were delivered during the study period, out of which 54% were males and 46% were females.

885 (60.05%) preterm were delivered by normal vaginal delivery (NVD) and 587 (39.95%) preterm were delivered by Lower Segment Caesarean Section (LSCS).

Mothers who had complications during pregnancy were 418 (28.40%). Of them, 119 (28.46%) had multiple births, 113 (27.03%) had pre-eclampsia, 78 (18.66%) had eclampsia, 40 (9.56%) had antepartum haemorrhage, 35 (8.37%) had gestational hypertension and 33 (7.89%) had Oligohydramnios.

Out of 1472 preterm, 45 (3.06%) were born < 28weeks, 445 (30.23%) were born 28-‘34 weeks and 982 (66.71%) were born >34 weeks of gestation. Of all the preterm, 64 (4.35%) were extremely low birth weight (ELBW; <1000 grams), 267 (18.14%) were very low birth weight (VLBW; 1000-1500 grams), 890 (60.46%) were low birth weight (LBW; 1500-2500 grams) and 250 (16.98%) had normal birth weight.

Only 23 (1.56%) preterm had congenital anomaly and the most common congenital anomaly note was acyanotic CHD (21.5%) and cleft lip and palate (21.5%).

Out of 1472 preterm, 545 (37.02%) were admitted in NICU, 34 (6.24%) were < 28 weeks of gestation, 304 (55.78%) were 28-34 weeks and 207 (37.98%) were > 34 weeks. If the birth weight of the preterm admitted in NICU is observed, 64 (11.56%) were ELBW, 207 (38.17%) were VLBW,


Table-1: Maternal Risk factors and complications of mothers giving birth to pre-term newborns.

Age (years) f(N) Percentage Weight (Kg) f(N) % Complications f(N) %
18-21 years 352 23.91 46-52 kg 24 1.63 Multiple births 119 28.46
22-25 years 680 46.2 53-59 kg 176 11.96 Pre-Eclampsia/Eclampsia 113/78 27.03/18.66
26-30 years 319 21.67 60-66 kg 772 52.45 Antepartum Hemorrhage 40 9.56
31-35 years 88 5.98 67-73 kg 429 29.14 Gestational Hypertension 35 8.37
36-40 years 30 2.04 74-80 kg 67 4.55 Oligohydramnios 34 8.13
> 41years 3 0.2 >80 kg 4 0.27 ShortStature/Bad obstetric history 16/16 3.83/3.83
Total 1472 100 Total 1472 100 Other risk factors 71 14.66

Table-2: Gestational age of preterm newborns.

Gestational age of newborns Total delivered Admitted in NICU Death
<28 weeks 45 (3.05%) 34 (75.5%) 23 (51.1%)
28-34 weeks 445 (30.23%) 304 (68.31%) 112 (25.16%)
>34 weeks 982 (66.71%) 207 (21.07%) 29 (2.95%)

Table-3: Birth weight of preterm newborns.

Birth weight of the newborn Total delivered Admitted in NICU Death
Extremely low birth weight (ELBW: <1000gm) 64 (4.35%) 64 (100%) 46 (71.87%)
Very low birth weight (VLBW): 1000-1499 gm 267 (18.14%) 207 (77.52%) 67 (25.09%)

Low birth weight (LBW): 1500-2499 890 (60.46%) 257 (28.87%) 46 (5.16%)
Normal birth weight: >=2500gm 250 (16.98%) 17 (6.8%) 5 (2%)

257 (47.16%) were LBW and 17 (3.12%) had normal birth weight. Statistically, a significant association was seen between the NICU admission with gestational age and birth weight (p < 0.5) i.e. NICU admissions increased with decreasing gestational age and birth weight of preterm. A negative correlation was noted between the duration of stay and gestational age of preterm neonate (r=0.98, p=0.022) i.e. as the gestational age increases, the duration of stay in NICU decreases.

Morbidity profile of preterm admitted in NICU was as follows, 303 (55.59%) had respiratory distress syndrome, 167 (30.64%) had sepsis, 61 (11.19%) had perinatal asphyxia, 58 (10.64%) had neonatal hyperbilirubinemia, 54 (9.91%%) had retinopathy of prematurity and 17 cases (3.12%) had meningitis.

Out of 1472 study subjects, 1200 (81.52%) were discharged, 164 (11.14%) died and 108 (7.34%) were discharged on request or left against medical advice. Of the 164 preterms who died in NICU during their treatment, 46 (8.54%) weighed < 1000 gm, 67 (40.85%) weighed between 1000-1499 gm, 46 (28.05%) weighed between1500-2499gm and 5 weighed more than 2500 gm at the time of birth. Maximum number of deaths were seen in gestational age < 28 weeks that is 23 (67.64%), 112 (36.84%) in 28-34 weeks and 29 (14%) in > 34 weeks.

The major cause of death in preterm babies according to gestational age is as follows: in babies <28weeks, prematurity (82.6%) was found to be the major cause, followed by RDS (48.21%) in 28-34wks and sepsis (51.72%) in >34wks. The cause of death in preterm neonates according to weight were as follows: the major cause of death in babies weighing <1000gm was prematurity (93.61%), in 1000gm – 1499gm was RDS (67.64%), 1500-2499gm was sepsis (47.72%) and ≥2500gm was also sepsis (40%).


Table-4: Morbidity and Mortality profile of preterm babies according to gestational age.

Complication causing death <28wks (N=23) 28-34wks (N=112) >34wks (N=29) Complication causing morbidity <28wks (N=34) 28-34wks (N=304) >34wks (N=206)
Respiratory distress syndrome (RDS) 2 54 3 Respiratory distress syndrome 30 256 17
Sepsis 2 27 15 Sepsis (EOS) 13 100 54
Prematurity 19 25 0 Perinatal asphyxia 2 21 38
IVH 0 1 7 Neonatal jaundice 5 29 24
NEC 0 3 1 Retinopathy of prematurity 10 44 0
Congenital anomaly 0 2 1 Meningitis (LOS) 0 5 12
Persistent pulmonary hypertension 0 0 2 Others 3 30 15

Table-5: Mortality and morbidity profile according to birth weight.

Complication <1000gm 1000-1499gm 1500-2499gm ≥2500gm Cause of death <1000gm 1000-1499gm 1500-2499gm >=2500gm (N=5)
(N=63) (N=208) (N=257) (N=17) (N=47) (N=68) (N=44)
Respiratory distress syndrome 59 187 57 0 Respiratory distress syndrome (RDS) 0 46 13 0
Sepsis (EOS) 25 78 59 5 Sepsis 1 20 21 2
Perinatal asphyxia 1 8 48 4 Prematurity 44 0 0 0
Neonatal jaundice 7 20 30 1 IVH 0 0 7 1
Retinopathy of prematurity 14 40 0 0 NEC 2 1 1 0
Meningitis (LOS) 0 6 9 2 Congenital anomaly 0 1 1 1
Others 5 22 16 5 Persistent pulmonary hypertension 0 0 1 1

pedia_591_01.jpg

Fig-1: Representing a negative co-relation between Gestational age and duration of stay.

Table-6: Correlation between Gestational age and duration of stay in the NICU.

Correlations
  DAYS GA
DAYS Pearson Correlation 1 -.098*
Sig. (2-tailed)   .022
N 542 542
GA Pearson Correlation -.098* 1
Sig. (2-tailed) .022  
N 542 542
*.Correlation is significant at the 0.05 level (2-tailed).

There was a negative correlation between the two variables, r = 0.98, p = 0.022.”

This means that as the gestational age of the newborn increases the duration of stay in NICU decreases.

Discussion

In the present study, preterm male newborns (54%) were slightly more as compared to female newborns (46%). This was in accordance with the studies by McGregor JA et al (1992) who conducted a cohort study in Denver, North America, and Jennifer et al who conducted a cohort study in France. In the present study, parity does not appear to play an important role in the occurrence of preterm birth. While some studies have reported a slightly increased risk for both first births and higher-order births, others have found either an increase or a decrease in the risk of preterm birth with increasing parity [23-28].

In the present study, 418 (28.40%) were reported to have complications during pregnancy. Of that, the most common was multiple pregnancies (28.46%) and pre-eclampsia (27.03%). Kurdi AM et al (2004) noted that preterm delivery remains the most serious complication of multiple pregnancies. Murray, SR et al (2018) from the University of

Edinburgh, UK, reported that prematurity is the main contributor for twin pregnancies, and twin pregnancies are associated with a three-fold greater perinatal mortality than singleton pregnancies.

The major morbidities noted in preterm neonates were: respiratory distress syndrome (55.59%), early-onset sepsis (30.64%), perinatal asphyxia (11.19%), neonatal jaundice (10.64%) and retinopathy of prematurity (9.91%). Rubaltelli et al [1998] Florence, Italy, and reported that the occurrence of respiratory distress was 20.6% at 33-34 weeks and 7.3% at 35-36 weeks [29]. S Shrestha et al (2010) from Nepal, reported that the common morbidities were clinical sepsis (66.7%), hyperbilirubinemia (58.8%), birth asphyxia (26.8%) and hyaline membrane disease (23.5%) [30] Atasay et al (2010), İstanbul, Turkey reported that respiratory distress was seen in 30% of late preterm infants [31] Kalyoncu O et al (2010) conducted a study in Turkey and found a significantly increased rate of respiratory problems among late preterm infants compared to term infants [32] Shankar Narayan et al 2002 New Delhi, India evaluated the morbidity and mortality in extremely low birth weight neonates (ELBW) from a tertiary care hospital over seven years (1994-2000) and found that the most commonly encountered morbidities were hyperbilirubinemia (65%), respiratory distress (65%), sepsis (52%), intraventricular haemorrhage (29%), pneumonia (25%) and retinopathy of prematurity (24%). Sepsis accounted for 41% of all deaths while immaturity was the second most important cause, accounting for 24% deaths.

Poudel P et al (2009) Eastern Nepal reported that the common morbidities among VLBW babies were clinical sepsis (77.1%), hyperbilirubinemia (73.6%), apnoea (48.6%), shock (42.9%), hypoglycemia (39.3%), anemia (29.3%), hyaline membrane disease (HMD, 21.4%), patent ductus arteriosus (15.0%), severe hypothermia (12.1%), culture-proven sepsis (15.7%), retinopathy of prematurity (5.7%), and bronchopulmonary dysplasia (3.6%). Overall survival was 54.3% and major causes of death were HMD (51.0%) and sepsis (34.7%).37Jaiswal et al (2011)Hyderabad, India noted that late preterm infants were at significantly higher risk for overall morbidity due to any cause (P<0. 001), any ventilation (non-invasive or invasive) (P=0.001), jaundice (P<0.001), hypoglycemia (P<0.001), and probable sepsis (P<0.001).


Of the 1472 preterm study subjects, 11.14% died. Maximum deaths (44%) occurred in very low birth weight newborns and 33% deaths were noted in 28-30 weeks of gestational age. Birth weight and gestational age of newborns were significantly associated (p=0.000) with the treatment outcome. S Shrestha et al (2010), from Nepal, reported that overall survival was 79.4% in preterm newborns with a minimum age of survival of 880 grams. The mortality rate isthe extremely low birth rate and a very low birth rate was 80% and 39.5% respectively. [33], Marchant T et al (2012) East Africa had reported that 52% of neonatal deaths occurred in preterm or small for gestational age babies. Babies born <34 weeks gestation had the highest odds of death compared to term babies [34], Iyoke C A et al (2014), southeast Nigeria reported that the adjusted perinatal mortality rate for preterm babies in the study center was 46.1% (236/512) [35].

A total of 545 preterms were admitted in NICU and the common causes of death were RDS (10.83%), sepsis (8.07%), prematurity (8.07%), IVH (1.47%), NEC (0.73%) and PPHN (0.37%). AT Bang et al (2005) Gadchiroli, India, reported in the cohort of  763 neonates, 40 neonatal deaths occurred, the morbidities were preterm birth 62.5%; sepsis 60%; intrauterine growth restriction (IUGR) 27.5%; perinatal asphyxia 25%; hypothermia 22.5% and feeding problems 15% [36]. S Shrestha et al (2010)Nepal, reported that the common causes of death were hyaline membrane disease (64.5%), sepsis (58.06%), and necrotizing enterocolitis (25.8%). [33]Jack Jacob et al (2010) reported that the most common cause of death was extreme prematurity or low birth weight (14%). The second and third most common causes of death were sepsis (12%) and acquired bowel disease (11%). Other primary causes of death included lung hypoplasia (9.5%), IVH (9.4%), respiratory distress syndrome (8.0%), hypoxic-ischemic encephalopathy (6.1%), major heart defects (3.4%).

Conclusion

This was a prospective observational study which was conducted in the Pediatric Department of Dr. B R Ambedkar Memorial Hospital Raipur from March 2018 – March 2019. A total of 1472 preterm babies born over this period were taken in the study and information of their medical records was analyzed to evaluate the short-term outcomes and risk factors of preterm birth.

The most common maternal risk factors noted were multiple pregnancies, preeclampsia, eclampsia, antepartum hemorrhage, and gestational hypertension. Common morbidities observed in preterm babies were respiratory distress syndrome, sepsis, perinatal-asphyxia, and neonatal-jaundice. Preterm newborns were admitted to NICU and the mortality rate was 11.14%. Two third of the preterm newborns admitted in the NICU was< 1500 kg. The common causes of death were respiratory distress syndrome, sepsis, and prematurity. Findings show that preterm babies have a higher risk of morbidity and mortality. The mortality rate decreased with an increase in gestational age and in babies with increasing birth weight.

What does the study add to the existing knowledge?

In spite of the advances made in antenatal care and neonatal services, preterm birth still remains an economic as well as emotional burden to the families. In low resource settings empowering the primary care providers with adequate knowledge with an emphasis on the prevention of preterm births, identification of risk factors, avoiding late referrals will benefit. Strengthening the referral system to make sure that high-risk patients are managed in tertiary obstetric units with level 3 NICU facilities will improve the neonatal outcome of these babies who are” Born too Soon” to a great extent.

Author’s contribution

Dr. Sharja Phuljhele: Concept, study design. Dr. Prachi Bichpuria: Manuscript writing. Dr. Samreen Yusuf: Statistical analysis. Dr. Abha Singh: Manuscript writing

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