ObjectivesTo examine the association between maternal anaemia and adverse maternal and infant outcomes, and to assess the feasibility of conducting epidemiological studies through the Indian Obstetric Surveillance System–Assam (IndOSS-Assam).DesignRetrospective cohort study using anonymised hospital records. Exposure: maternal iron deficiency anaemia; outcomes: postpartum haemorrhage (PPH), low birthweight, small-for-gestational age babies, perinatal death.Setting5 government medical colleges in Assam.Study population1007 pregnant women who delivered in the 5 medical colleges from January to June 2015.Main outcome measuresORs with 95% CIs to estimate the association between maternal iron deficiency anaemia and the adverse maternal and infant outcomes. Potential interactive roles of infections and induction of labour on the adverse outcomes were explored.Results35% (n=351) pregnant women had moderate–severe anaemia. Women with severe anaemia had a higher odds of PPH (adjusted OR (aOR) =9.45; 95% CI 2.62 to 34.05), giving birth to low birthweight (aOR=6.19; 95% CI 1.44 to 26.71) and small-for-gestational age babies (aOR=8.72; 95% CI 1.66 to 45.67), and perinatal death (aOR=16.42; 95% CI 4.38 to 61.55). Odds of PPH increased 17-fold among women with moderate–severe anaemia who underwent induction of labour, and 19-fold among women who had infection and moderate–severe anaemia.ConclusionsMaternal iron deficiency anaemia is a major public health problem in Assam. Maternal anaemia was associated with increased risks of PPH, low birthweight, small-for-gestational age babies and perinatal death. While the best approach is prevention, a large number of women present with severe anaemia late in pregnancy and there is no clear guidance on how these women should be managed during labour and delivery.

ObjectiveTo assess the feasibility of establishing a simple maternal morbidity surveillance system in Assam (Indian Obstetric Surveillance System-Assam (IndOSS-Assam)) to investigate the incidence and trends in severe maternal complications. This study presents the surveillance platform of IndOSS-Assam.DesignFour tasks were undertaken: (1) setting up of a steering committee; (2) establishing priorities for the region; (3) mapping of surveillance sites; (4) piloting case-notification systems in selected centres.SettingTwo government tertiary hospitals in the state.Study populationPregnant women delivering in the hospitals between March and August 2015.Main outcome measuresIncidence and case fatality rates with 95% CIs.ResultsLocal stakeholder ownership and a simple uncomplicated anonymous system for case notification were the key strengths of this project. Cases and deaths were reported for six conditions: eclampsia, postpartum haemorrhage, puerperal sepsis, septic abortion, uterine rupture and anaemic heart failure. Among 10 475 women delivering over 6 months, 402 had one of these conditions and 66 died (case fatality 16%). The incidence of eclampsia was 17 per 1000 deliveries (95% CI 14 to 19), postpartum haemorrhage was 11 per 1000 deliveries (95% CI 10 to 13) and anaemic heart failure was 3 per 1000 deliveries (95% CI 2 to 5). For each of the other three conditions—puerperal sepsis, septic abortion and uterine rupture—the incidence rate was 2 per 1000 deliveries.ConclusionsIndOSS-Assam was shown to be a feasible and simple system for ongoing surveillance of maternal morbidity that can be used to monitor the trends in the incidence of specific severe life-threatening conditions during pregnancy.

Introduction and aims The demographic and clinical profile and dynamics of real-time polymerase chain reaction (RT-PCR) in coronavirus disease 2019 (COVID-19) patients are not well understood. The study aimed to analyze the demographic, clinical, and RT-PCR profiles of COVID-19 patients. Methodology The study was a retrospective, observational study conducted at a COVID-19 care facility, and the study period was from April 2020 to March 2021. Patients with laboratory-confirmed COVID-19 by real-time polymerase chain reaction (RT-PCR) were enrolled in the study. Patients with incomplete details or with only single PCR tests were excluded. Demographic and clinical details and the results of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RT-PCR collected at different time points were retrieved from the records. The statistical software Minitab version 17.1.0 package (Minitab, LLC, State College, PA, USA) and Rstudio version 1.3.959 (Rstudio, Boston, MA, USA) were used for the statistical analysis. Results The mean duration from symptom onset to the last positive RT-PCR was 14.2 ± 4.2 days. The proportions of positive RT-PCR tests were 100%, 40.6%, 7.5%, and 0% at the end of the first, second, third, and fourth weeks of illness. The median duration of days to first negative RT-PCR in the asymptomatic patients was 8 ± 4 days, and 88.2% of asymptomatic patients were RT-PCR-negative within 14 days. A total of 16 symptomatic patients had prolonged positive test results even after three weeks of symptom onset. Older patients were associated with prolonged RT-PCR positivity. Conclusion This study revealed that the average period of RT-PCR positivity from the onset of symptoms is >2 weeks in symptomatic COVID-19 patients. Prolonged observation in the elderly population and repeat RT-PCR before discharge or discontinuation of quarantine is required.