RESUMO
Objective: To find out the incidence of neonatal near miss (NNM) cases in comparison with the neonatal deaths and to study the different antenatal and intrapartum maternal variables and system-related delays influencing these events. Methodology: This is a descriptive retrospective study conducted over a year (2018-2019) at a tertiary referral hospital in India, where NNM cases were selected as per 'pragmatic criteria', and detailed maternal and neonatal biological variables and near miss indicators were procured from the medical record books and analysed. Results: Out of 6383 live births and 231 neonatal deaths in the hospital during the study period, 810 NNM cases were identified born to 710 mothers, i.e. 3.5 cases for each neonatal death. Birth weight and gestational age in combination contributed to the maximum number of cases-383 (47.28%). The most common reason for referral was threatened pre-term/PPROM with non-availability of NICU-197 cases (38.3%) out of 514 referrals. Out of 710 mothers, 529 (74.5%) had at least one comorbidity at the time of presentation. The most common comorbidity was anaemia in 267 women followed by hypertensive disorder of pregnancy-in 251 cases. Primary delay contributed to 54% of all delays in the study. Conclusion: NNM can be used as an effective tool for quality control and audits to effectively reduce maternal and neonatal morbidity and mortality but needs more research to establish a standardized definition and criteria for selection of cases.
RESUMO
Abstract: Premenstrual syndrome (PMS) refers to a heterogenous group of symptoms occurring in luteal phase of the menstrual cycle. Women of childbearing age are affected by PMS, and it may impact their quality of life. Various factors related to the biology of menstruation, hormones, and lifestyle are associated with PMS. Purpose: To explore the incidence and severity of PMS among students in India and its correlation with nutrient intake, adiposity, and lifestyle factors. Methods: A semi-structured questionnaire was used to collect data on menstrual pattern, nutrient intake, dietary habits, and physical activity. Moose's Menstrual Distress Questionnaire and Premenstrual Symptoms Screening Tool were employed for the identification and classification of PMS. Anthropometric indices included height, weight, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and four-site skinfold thickness-tricep, bicep, subscapular, and suprailiac. Results: Of the 330 participants, 71.3% reported to have experienced at least one symptom of PMS. Furthermore, 46.9% had mild PMS, 31.5% had moderate PMS, 8.3% had strong PMS, and 13.3% had no symptoms. Anxiety and irritability were the most observed symptoms. The mean body mass index (BMI) of the participants was within the normal range (21.76 ± 4.81 kg/m2); however, body fat percentage was above the normal range (33.95% ± 4.89%). PMS severity was significantly correlated with body fat percentage and BMI. Nutrient intake was significantly lower than the recommended dietary allowance (RDA), but dietary fat consumption was higher than the RDA. Protein intake was higher in participants with mild PMS than those with moderate and severe PMS (p<0.05). An inverse association between oilseed consumption and PMS was observed. Conclusion: PMS was associated with anthropometric parameters, nutrient intake, and dietary preference. PMS showed correlation with the intake of calorie-rich foods, sweets, and fried salted snacks, whereas consumption of oilseeds alleviated its incidence.
