Pattern of Neonatal Danger Signs and its Related Factors in a Tertiary Level Hospital

Considering very limited information in the pattern of neonatal danger signs with associated risk factors in our perspective, the aim of the study was to understand the country-context pattern of neonatal danger signs and its related factors in a tertiary level hospital. This cross-sectional study was conducted among 259 mothers and their neonates in Dhaka Medical College Hospital, Dhaka, Bangladesh from 01 January 2015 to 31 December 2015. Data were collected by face to face interview from mother by pre-tested semi structure questionnaire which was adopted from WHO-UNICEF list of newborn danger signs. Measurement of weight was taken from hospital record. Observation of danger signs were done by following check list. Data analysis was done by SPSS 20.0. Of all, majority (41.6%) was in the age group of 20-24 years & was educated up to secondary level (42.47%). More than half of the participants (54.1%) had family income >10,000 BDT. Sixty percentage of mother took ANC visit <3 times during their pregnancy period. About 42.1% had ≥1 co-morbidities. Hospital was the predominate place of birth with 48.3% caesarean delivery. At least one neonatal danger sign was present in 20.1% while 39.4% had at least 2 danger signs. Rest of the child had ≥2 danger signs at a time. The distribution of danger signs were not feeding since birth or stop feeding 206(79.5%), severe chest in drawing 145(56.1%) respiratory rates 60 or more 126(48.6%), convulsion 72(27.8%), yellow soles 68(26.3%). Factors like 'fail to identify with an expert health assistant', trial of delivery at home, delivery at home, older neonatal age (8-28 days), presence of injury at birth, and cutting of umbilical cord by blade during delivery were associated with higher number of danger signs (p<0.05 in all cases). About 80% neonate in our setting had ≥1 sign and had association with fail to identify with an expert health assistant', trial of delivery at home, delivery at home, older neonatal age, presence of injury at birth, and cutting of umbilical cord by blade during delivery.

Risk factors of acute coronary syndrome among Bangladeshi people

Two hundred consecutive patients of acute coronary syndrome aged 30-80 years (inclusive) admitted to the coronary care unit of National institute of Cardiovascular Diseases, Dhaka, were prospectively recruited as cases. Two hundred controls were prospectively selected either from individuals attending in the Shaheed Suhrawardy Medical College Hospital, admitted for elective surgery or in medicine ward for conditions that were unlikely to confound a comparative analysis. The Cases had significantly lower yearly incomes than controls, and significantly higher number of cases is occupied as sedentary worker. Smoking was an important risk factor. About 70% of cases and 45% of controls smoked previously cigarettes. Consumption of non smoke tobacco is another risk factor. The high risk of IHD in developing countries attributed to low consumption of fruit and vegetables, and in our study regular consumption of fruits (taking fruit at least 4 days a week) shows 20.5% cases and 33% of controls (OR 0.524, 95%CI 0.333-0.823) and p value was 0.005. Around 23.5% of the cases were diabetic compared with 4.5% of controls. We found 5% cases and 1.5% controls having known dyslipidemia. Although the body-mass index of cases was 24.68±3.06 Kg/M² and controls 20.54±4.37 Kg/M². The WHR was also significantly greater in cases 0.98±0.05M vs. controls 0.93±0.102M (p<0.001). About 31% of cases and 2% of controls had past history of myocardial infarction. The most predictive independent variables were previous smoking (p<0.001), WHR (p<0.001), history of hypertension (p<0.001), and income (p<0.001). Smoking and WHR were associated with the highest risks. The variables revealed to be significantly associated with acute coronary syndrome by bivariate analyses were all entered into the model directly. Eleven variables entered into the model. Of them Age, occupation, family income (yearly), fruit consumption, known hypertension, known DM, known dyslipidemia, previous MI, previous smoking, BMI and Waist and hip ratio were found to be the independent predictors of acute coronary syndrome. The study found that smoking tobacco, diabetes mellitus, hypertension, visceral obesity and less fruit intake are the important factors of acute coronary syndrome in Bangladesh.