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Year :2022
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Month :
April
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Volume :
10
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Issue :
2
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Page :
PO46 - PO50
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Spectrum of Congenital Malformations and Associated Factors: A Cross-sectional Study from Eastern India
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Correspondence Address :
Tarapada Ghosh, Sumanta Das, Mahesh Prasad Mohanta, Bidyut Kumar Khuntdar,
Dr. Bidyut Kumar Khuntdar,
3/A, Spring Apartment, Khsudiramnagar, Medinipur-721101, West Bengal, India,
E-mail: bkhuntdar1971@gmail.com
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Introduction: Congenital malformations are important contributors for neonatal and infant mortality after prematurity, intrapartum complications and infections.
Aim: To find out the prevalence and pattern of congenital malformations among the live born neonates in study area as well as to identify the associated risk factors.
Materials and Methods: This descriptive hospital based cross-sectional study was carried was carried out in 305 cases a Midnapore Medical College, Medinipur, West Bengal, from July 2016 to June 2017. All live inborn neonates were assessed for the presence of any malformation(s). The still born or out born babies were excluded. Congenital malformations were diagnosed by clinical examination as well as imaging studies. Data regarding risk factors were collected from the history and the case records. Chi-square test was done to find out the significance of the risk factors.
Results: During the study period, there were 14240 live births, out of which 305 cases of congenital malformations were noted. Prevalence of congenital malformations was 214.1 per 10,000 live births or 2.14%. Out of 305 cases, 165 (54.09) were male, 137 (44.91%) were female, and 3 (0.98%) had ambiguous genitalia. Prevalence of malformations was not significantly different between primi and multipara mothers, and for the different socio-economic backgrounds. A higher prevalence of congenital malformations in mothers above 30 years, consanguinity, low birth weight and prematurity were observed. History of abortion and still birth were associated with higher prevalence. Polyhydramnios, pregnancy induced hypertension and gestational diabetes were also associated with higher prevalence of malformations. Musculoskeletal system was majorly involved in 92 (30.16%) cases, followed by central nervous system 48 (15.74%).
Conclusion: Prevalence of congenital malformations was found to be 214.1 per 10,000 live births or 2.14%. Maternal age >30, consanguinity, prematurity and low birth weight were associated with increased prevalence of congenital malformations. Musculoskeletal system was the most commonly involved system.
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