Among preterm infants with suspected RDS, early use of NIPPV reduces the need for intubation and mechanical ventilation compared to CPAP.

SummaryBackground: National family health survey-3 of India has revealed startling lower exclusive breastfeeding (EBF) rates (16.9%) in the state of Haryana compared with national data (46%). The barriers to breastfeeding in this population are not clearly known. Therefore, a study was conducted in a rural population of the state to study their breastfeeding practices, knowledge regarding usefulness of breastfeeding and factors influencing the breastfeeding practices. Methods: In six villages of Panchkula district of Haryana, all the mothers of infants between 0-6 months were interviewed using a pretested semi-structured questionnaire. Time at initiation of breastfeeding, duration of EBF and their understanding about the usefulness of breastfeeding were assessed. Position of the baby during breastfeeding and attachment of the baby's mouth to the breast were assessed by direct observation while feeding. Breastfeeding knowledge of the mother was evaluated. Results: Out of the 77 mothers, 30% and 10% exclusively breastfed their infants till 4 and 6 months of age, respectively. There was 'good attachment' in 42% mother-infant pairs and infants were held in 'correct position' by 60% mothers. Thirty-nine percent of the mothers had 'satisfactory' breastfeeding knowledge. On multivariate logistic regression analysis, lack of breastfeeding counseling was significantly associated with decreased rates of EBF at 4 months and 6 months (p-value 0.01 and 0.002, respectively) and 'full' breastfeeding (FBF) at 6 months of age (p-value 0.002). Conclusions: EBF/FBF practices and breastfeeding knowledge are suboptimal among the rural North Indian mothers. Breastfeeding counseling with emphasis on correct technique can improve the EBF/FBF rates.

Probiotics or health-beneficial bacteria have only recently been introduced in dentistry after years of successful use in mainly gastrointestinal disorders. The concept of bacteriotherapy was first introduced in the beginning of 20th century. They are administered in different quantities that allow for colon colonization. These products help in stimulating health promoting flora and also suppressing the pathologic colonization and disease spread. The use of probiotic plays an important aspect in dentistry too, ever since the oral infections occupied the prime spot among the other infections affecting the humans. Probiotics strengthen the immune system to combat allergies, stress, exposure to toxic substances, and other diseases. This review is an attempt to discuss briefly the role of probiotics in oral health.

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OBJECTIVE To assess the ability of artificial neural networks (ANNs) to predict optimum renal stone fragmentation in patients being managed by extracorporeal shock wave lithotripsy (ESWL). PATIENTS AND METHODS The study included 82 patients with renal stones who were being treated by ESWL. Data (input and output values) from 60 patients in whom there was optimum fragmentation of stones by ESWL were used for training the ANN. These data mainly included the 24‐h urinary variables, the radiological features of the stone disease and the ESWL settings used. The predictability of the trained ANN was tested on 22 subsequent patients, by supplying the input variables of the 22 patients into the trained ANN and recording the output values (predicted values). After subjecting these patients to ESWL, the actual results (observed values) were recorded. The predicted and the observed values were then compared. RESULTS In the 22 patients in whom predictability was tested, the trained ANN predicted optimum fragmentation at ≤ 13 000 shocks/stone (as per study protocol) in 17 and optimum fragmentation at> 13 000 shocks/stone in the other five. In the 17 patients (test set) where the trained ANN had predicted optimum fragmentation at ≤ 13 000 shocks/stone, the optimum fragmentation was at that value, although the predicted and observed values were not identical. The overall correlation between the predicted and the observed values was 75.5% (correlation coefficient 0.7547) in these 17 patients. Of the other five patients, none had optimum fragmentation at < 13 000 shocks/stone, as predicted by the trained ANN, giving complete accuracy for this factor. CONCLUSION This was a pilot study, i.e. an initial attempt to use an ANN in this regard, and although there were few patients, such that it is not possible to make final recommendations, the overall predictability was ≈ 75%. An encouraging outcome of the study was that the trained ANN identified patients unlikely to benefit from ESWL. Using a larger dataset and identifying more significant variables, while eliminating inputs with a negative effect, the efficiency and utility of this ANN can probably be enhanced and in future it might be possible to predict stone fragmentation with reasonable accuracy.