Browsing by Author "DS, Manandhar"
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Publication A case report of Gilbert Syndrome(Kathmandu University, 2003) SR, Manandhar; RL, Gurubacharya; MR, Baral; DS, ManandharGilbert syndrome is benign, often familial condition characterized by recurrent but asymptomatic mild unconjugated hyperbilirubinemia in the absence of haemolysis or underlying liver disease. If, it becomes apparent, it is not until adolescence and then usually in association with stress such as intercurrent illness, fasting or strenuous exercise. Virtually all patients have decreased level of UDP- Glucuronosyltransferase, but there also is evidence for a defect in hepatic uptake of bilirubin as well. This case is reported due to its rarity. The prevalence of Gilbert syndrome in U.S is 3-7% of the population. Keywords: Gilbert Syndrome, familial non-haemolytic jaundice, hereditary non-haemolytic bilirubinaemia, low- grade chronic hyperbilirubinemiaPublication Publication One year follow up study of term babies born at Kathmandu medical college teaching hospital(Kathmandu University, 2004) K, Manandhar; DS, Manandhar; MR, BaralObjective: To study the mean, standard deviation and centiles for anthropometry and haemoglobin in healthy term infants followed up to 12 months of age. Design: Cohort study Settings: Kathmandu Medical College Teaching Hospital (KMCTH) in Kathmandu. Subject: Consecutive healthy term newborns Method: 100 consecutive healthy term newborns were enrolled at birth.19 babies were lost in follow up. So, 81(45 male, 36 female) healthy, full term infants were followed up from birth to 12 months of age. Anthropometry (weight, length, and head circumference) and haemoglobin were measured at birth, 6 weeks, 6 months, 9 months and 12 months of age. Haemoglobin was estimated by Hemocue microcuvette method. The data so obtained was subjected to statistical analysis by using SPSS computer package. Main outcomes: Mean, centile and standard deviation score values for weight (Kgs), infant length (cms), head circumference (cms) and haemoglobin (gm/dl) at birth, 6 weeks, 6 months, 9 months and 12 months of age. Results: Out of 100 babies enrolled, data presented here is for the remaining 81 babies. Among 81 babies, 76 were appropriate for gestational age (AGA) and 3 were small for gestation (SFD). The mean, standard deviation and percentile values are presented for anthropometry (weight, length and head circumference) and haemoglobin at birth, 6 weeks, 6 months, 9 months and 12 months of age. The mean birth weight was 3.05 kg (SD 0.41). The mean infant length and head circumference at birth were 49 cm (2.28) and 33.8 cm (SD1.4) respectively. The mean haemoglobin at birth was 15.7 gm/dl (SD 2.29). At 12 months of age mean weight, length, head circumference and haemoglobin were 9 kg (SD 0.81), 73.5 cm (SD 2.9), 45 cm (SD 1.2 ) and 11.1 gm/dl (SD 1.41) respectively. Almost 50% of the babies at 6 weeks, 9 months and 12 months of age were found to be anaemic (Hb <11 gm/dl). Among the babies, 49% were exclusively breast fed for 6 months of age. Other feeding practices seen were, mother’s breast feed with water supplementation (25%), mother’s breast feeding with formula feed (16%) and formula feeding only (5%). National and international comparisons of anthropometry and haemoglobin data are shown in table.Publication Perinatal death audit(Kathmandu University, 2004) DS, ManandharPerinatal mortality rate (PMR), which indicates quality of care provided to women in pregnancy, at and after child birth and to the newborns in the first week of life, is high in Nepal. Published results show wide variation in PMR in the country – higher rates are in the community and hospitals outside Kathmandu. Reduction of PMR is an important strategy in improving maternal and neonatal health and requires identification of factors related to perinatal deaths. Perinatal death audit is a process of assessing factors related to a perinatal death. It helps in reducing perinatal mortality by identifying preventable factors related to perinatal deaths. Classifying perinatal deaths into 5 groups of Wigglesworth helps in identifying major obstetric or neonatal factors related perinatal deaths. Major factors related to perinatal deaths in Nepal are poor antenatal care, poor monitoring and assistance at birth and lack of adequate neonatal care services. Regular perinatal audit would identify factors and lapses related to perinatal deaths and thus help in taking appropriate interventions to reduce avoidable perinatal deaths. Key words: Perinatal death audit, Perinatal mortality rate, Reducing perinatal deaths, NepalPublication Two year audit of perinatal mortality at Kathmandu Medical College Teaching Hospital(Kathmandu University, 2006) M, Shrestha; DS, Manandhar; S, Dhakal; N, NepalIntroduction: Perinatal mortality rate is a sensitive indicator of quality of care provided to women in pregnancy, at and after child birth and to the newborns in the first week of life. Regular perinatal audit would help in identifying all the factors that play a role in causing perinatal deaths and thus help in appropriate interventions to reduce avoidable perinatal deaths. Aims and objectives: This study was carried out to determine perinatal mortality rate (PMR) and the factors responsible for perinatal deaths at KMCTH in the two year period from November 2003 to October 2005 (Kartik 2060 B.S. to Ashoj 2062). Methodology: This is a prospective study of all the still births and early neonatal deaths in KMCTH during the two year period from November 2003 to October 2005. Details of each perinatal death were filled in the standard perinatal death audit forms of the Department of Pediatrics, KMCTH. Perinatal deaths were analyzed according to maternal characteristics like maternal age, parity, type of delivery and fetal characteristics like sex, birth weight and gestational age and classify neonatal deaths according to Wigglesworth’s classification and comparison made with earlier similar study. Results: Out of the 1517 total births in the two year period, 22 were still births (SB) and 10 were early neonatal deaths (ENND). Out of the 22 SB, two were of < 1 kg in weight and out of 10 ENND, one was of <1 kg. Thus, perinatal mortality rate during the study period was 19.1 and extended perinatal mortality rate was 21.1 per 1000 births. The important causes of perinatal deaths were extreme prematurity, birth asphyxia, congenital anomalies and associated maternal factors like antepartum hemorrhage and most babies were of very low birth weight. According to Wigglesworth’s classification, 43.8% of perinatal deaths were in Group I, 12.5% in Group II, 28.1% in Group III, 12.5% in Group IV and 12.5% in Group V. Discussion: The perinatal death audit done in KMCTH for 1 year period from September 2002 to August 2003 showed perinatal mortality rate of 30.7 and extended perinatal mortality rate of 47.9 per 1000 births. There has been a significant reduction in the perinatal mortality rate in the last 2 years at KMCTH. Main reasons for improvement in perinatal mortality rate were improvement in care of both the mothers and the newborns and the number of births have also increased significantly in the last 2 years without appropriate increase in perinatal deaths. Conclusion: Good and regular antenatal care, good care at the time of birth including appropriate and timely intervention and proper care of the sick neonates are important in reducing perinatal deaths. Prevention of preterm births, better care and monitoring during the intranatal period and intensive care of low birth weight babies would help in further reducing perinatal deaths. Key words: Perinatal mortality rate (PMR), still births, early neonatal death (ENND), Total perinatal death (PND)