Assessing the prevalence and predictors of anemia among pregnant women in India: findings from the India National Family Health Survey 2019-2021.

BACKGROUND: Anemia is more prevalent in low- and middle-income countries including India. Anemia in pregnancy is associated with increased risk of maternal health problems and adverse birth outcomes. This study estimates the prevalence and associated risk factors of anemia among pregnant women in India. METHODS: This cross-sectional study is based on secondary data from the India National Family Health Survey-V (NFHS-5) conducted during 2019-2021. We extracted data of 27,317 currently pregnant women to estimate the prevalence and contributory factors associated with anemia using descriptive statistics and logistic regression analysis. RESULTS: The prevalence of anemia among pregnant women in India was 52.2%. Anemia was higher among adolescent women (61.5%), those with no education (59.2%), those belonging to poorest wealth index (61.9%), scheduled tribes (59.3%), and those from the eastern region of India (62.1%). Further, it was more prevalent among women with a habit of smoking, tobacco, or alcohol (63.0%), and women with shorter birth intervals (59.7%). Among Indian states, anemia prevalence was higher in the state of Bihar (63.1%) and the union territory of Ladakh (71.4%). Logistic regression models show that women with no education (aOR = 1.41, 95% CI = 1.27-1.57), belonging to a poorest wealth quintile (aOR = 1.69, 95% CI = 1.51-1.90), and those with a habit of smoking, tobacco, or alcohol (aOR = 1.39, 95% CI = 1.18-1.63) were more anemic than their counterparts. Additionally, women with no education showed a four-times higher risk of severe anemia (aOR = 4.79, 95% CI = 2.75-8.36) than their highly educated counterparts. CONCLUSION: Anemia affects half of all pregnant women in India. Anemia prevalence is higher among adolescents, illiterate, poor, and tribal communities. Social norm-based interventions and strengthening the community health facilitators should be implemented to reduce the high burden of anemia in India.

Anemia in pregnancy increases the risk of maternal and new-born health problems that lead to unfavorable pregnancy outcomes. This study aimed to find the current proportion and factors influencing anemia among currently pregnant Indian women. This study analyzed the data of 27,317 currently pregnant women reported with hemoglobin levels to find the prevalence and contributing factors of anemia. The study revealed that about 52.2% of pregnant women suffer from anemia inclusive of 1.4% with severe anemia. The anemia proportion was higher in women living in the eastern region of India, the poorest households, teenage pregnant women, and women with no formal education. Severity was higher in women belonging to the poorest households, tribal groups, and those with a habit of smoking, tobacco, or alcohol. Further, women with no formal education were four-times more likely to have a risk of severe anemia during their pregnancy. Maternal anemia hampers the growth and development of the newborns. Thereby, anemia adds a huge burden to the nation's economy and health system. High rates of anemia among pregnant women could be a probable factor linked to the higher rate of maternal and child health illness and death in the eastern region, poorest strata, and other vulnerable populations in India. Special attention needs to be focused to ensure that these populations have easy access to healthy nutrition and the best public health systems.

High-risk pregnancy in India: Prevalence and contributing risk factors - a national survey-based analysis.

Background: High-risk pregnancies (HRP) place women and their offspring at the highest risk for morbidity and mortality. Maternal and medical risks increase pregnancy risk and complications during pregnancy and childbirth. Here, we reported the current prevalence of high-risk pregnancies among Indian women, which is defined through various factors such as maternal, lifestyle, medical, current health risk and adverse birth outcomes. Methods: This is a cross-sectional study based on secondary data from India's National Family Health Survey-5 (NFHS-5). A total of 23 853 currently pregnant women were considered for analysis after considering the inclusion and exclusion criteria. The prevalence and contributing factors of high-risk pregnancies were estimated using descriptive statistics and logistic regression, respectively. Results: The prevalence of high-risk pregnancies among Indian women was 49.4%, with 33% of women having a single high-risk, and 16.4% having multiple high-risk pregnancies. Notably, pregnant women from Meghalaya and Manipur states had 67.8% and 66.7% with one or more high-risk factors, respectively. About 31.1% of women had short birth spacing, and 19.5% of women had adverse birth outcomes during the last birth. Logistic regression analysis showed that women with no education (adjusted odds ratio (AOR) = 2.02; 95% confidence interval (CI) = 1.84-2.22) and the poorest wealth quintile (AOR = 1.33; 95% CI = 1.04-1.29) had significantly higher odds of having HRP than those with higher education and the highest wealth quintile, respectively. Conclusions: Nearly half of all pregnancies in India have one or more high-risk factors, which is a matter of concern, and the risks were higher among the vulnerable population such as no educated, poorest groups etc. The leading high-risk factors such as short-birth spacing, adverse birth outcomes, and caesarean deliveries should be addressed through the health policy and programmes.

Pregnancy outcomes among Indian women: increased prevalence of miscarriage and stillbirth during 2015-2021.

BACKGROUND: Pregnancy outcome is an important health indicator of the quality of maternal health. Adverse pregnancy outcomes is a major public health problem, which can lead to poor maternal and neonatal outcomes. This study investigates the trends in pregnancy outcomes prevalent during 2015-2021 in Indian women. METHODS: The study analysed the data presented in the fourth (2015-16) and fifth (2019-21) rounds of National Family Health Survey (NFHS). The absolute and relative changes in the birth outcomes of last pregnancy during the five years preceding the surveys were estimated using data collected from 195,470 women in NFHS-4 and from 255,549 women in NFHS-5. RESULTS: Livebirth decreased by 1.3 points (90.2% vs. 88.9%), and nearly half of the Indian states/UTs (n = 17/36) had lower than the national average of livebirth (88.9%) reported during 2019-21. A higher proportion of pregnancy loss was noted, particularly miscarriages increased in both urban (6.4% vs. 8.5%) and rural areas (5.3% vs. 6.9%), and stillbirth increased by 28.6% (0.7% vs. 0.9%). The number of abortions decreased (3.4% vs. 2.9%) among Indian women. Nearly half of the abortions were due to unplanned pregnancies (47.6%) and more than one-fourth (26.9%) of abortions were performed by self. Abortions among adolescent women in Telangana was eleven times higher during 2019-21 as compared to 2015-16 (8.0% vs. 0.7%). CONCLUSION: Our study presents evidence of a decrease in the livebirth and an increase in the frequency of miscarriage and stillbirth among Indian women during 2015-2021. This study emphasises that there is a need of regional-specific, comprehensive and quality maternal healthcare programs for improving livebirth among Indian women.

Increased risk of early-onset preeclampsia in pregnant women with COVID-19.

OBJECTIVE: To estimate incidence, risk of early and late-onset preeclampsia (PE) and understand their relationship with severity of COVID-19. METHODS: Pregnant women with COVID-19 (n = 1929) were enrolled from 1 April 2020 to 24 February 2022. Primary outcome measure was incidence and risk of early onset PE in women with COVID-19. RESULTS: The incidence of early and late-onset PE was 11.4% and 5.6%. Moderate to severe COVID-19 was associated with eight times higher risk of early onset PE [aOR = 8.13 (1.56-42.46), p = 0.0129] compared to asymptomatic group. CONCLUSIONS: Risk of early onset PE was higher in pregnant women with symptomatic COVID-19 as compared to asymptomatic women.

Clinical characteristics, outcomes, & mortality in pregnant women with COVID-19 in Maharashtra, India: Results from PregCovid registry.

Background & objectives: The PregCovid registry was established to document the clinical presentations, pregnancy outcomes and mortality of pregnant and post-partum women with COVID-19. Methods: The PregCovid registry prospectively collects information in near-real time on pregnant and post-partum women with a laboratory-confirmed diagnosis of SARS-CoV-2 from 19 medical colleges across the State of Maharashtra, India. Data of 4203 pregnant women collected during the first wave of the COVID-19 pandemic (March 2020-January 2021) was analyzed. Results: There were 3213 live births, 77 miscarriages and 834 undelivered pregnancies. The proportion of pregnancy/foetal loss including stillbirths was six per cent. Five hundred and thirty-four women (13%) were symptomatic, of which 382 (72%) had mild, 112 (21%) had moderate, and 40 (7.5%) had severe disease. The most common complication was preterm delivery (528, 16.3%) and hypertensive disorders in pregnancy (328, 10.1%). A total of 158 (3.8%) pregnant and post-partum women required intensive care, of which 152 (96%) were due to COVID-19 related complications. The overall case fatality rate (CFR) in pregnant and post-partum women with COVID-19 was 0.8 per cent (34/4203). Higher CFR was observed in Pune (9/853, 1.1%), Marathwada (4/351, 1.1%) regions as compared to Vidarbha (9/1155, 0.8%), Mumbai Metropolitan (11/1684, 0.7%), and Khandesh (1/160, 0.6%) regions. Comorbidities of anaemia, tuberculosis and diabetes mellitus were associated with maternal deaths. Interpretation & conclusions: The study demonstrates the adverse outcomes including severe COVID-19 disease, pregnancy loss and maternal death in women with COVID-19 in Maharashtra, India.

Differential impact of COVID-19 in pregnant women from high-income countries and low- to middle-income countries: A systematic review and meta-analysis.

BACKGROUND: SARS-CoV-2 has infected a large number of pregnant women. OBJECTIVE: To compare clinical, perinatal outcomes of women with COVID-19 from high-income countries (HICs) and low- to middle-income countries (LMICs). SEARCH STRATEGY: Online databases were searched. SELECTION CRITERIA: Original studies on pregnant women with COVID-19 were included. DATA COLLECTION AND ANALYSIS: Information on clinical presentation, co-morbidities, pregnancy outcomes, neonatal outcomes, and SARS-CoV-2 infection in neonates was extracted. MAIN RESULTS: The pooled estimate of SARS-CoV-2 positive neonates is 3.7%. Symptomatic presentations are less common in LMICs compared to HICs (odds ratio [OR] 0.38). Diabetes (OR 0.5), hypertension (OR 0.5), and asthma (OR 0.14) are commonly reported from HICs; hypothyroidism (OR 2.2), anemia (OR 3.2), and co-infections (OR 6.0) are commonly reported in LMICs. The overall risk of adverse pregnancy outcomes is higher in LMICs compared to HICs (OR 2.4). Abortion (OR 6.2), stillbirths (OR 2.0), and maternal death (OR 7.8) are more common in LMICs. Preterm births and premature rupture of membranes are comparable in both groups. Neonatal deaths (OR 3.7), pneumonia (OR 7.5), and neonatal SARS-CoV-2 infection (OR 1.8) are commonly reported in LMICs. CONCLUSIONS: In LMICs, pregnant women and neonates are more vulnerable to adverse outcomes due to COVID-19. PROSPERO registration no: CRD42020198743.

Clinical Characteristics, Management, and Short-Term Outcome of Neonates Born to Mothers with COVID-19 in a Tertiary Care Hospital in India.

INTRODUCTION: We describe the clinical characteristics, management, and short-term outcomes of SARS-CoV-2 neonates born to mothers with COVID-19 in a tertiary care hospital in Mumbai, India. METHODS: The study is a retrospective analysis of 524 neonates born to mothers with COVID-19 admitted from 14th April 2020 to 31st July 2020. RESULTS: SARS-CoV-2 infection was detected in 6.3% of the newborns of the mothers with COVID-19. No significant differences were observed between maturity at gestation, birth weight and sex of SARS-CoV-2 infected and noninfected newborns. The risk of sepsis was 4.09 [95% confidence interval (95% CI) 1.28-13.00] fold higher in the neonates with SARS-CoV-2 as compared to the noninfected group (p = 0.031). Poor feeding was significantly more common among SARS-CoV-2 infected neonates (12.1%) as compared to the noninfected neonates (2.7%) (p = 0.017). There was a total of 13 neonatal deaths, of which 3 deaths occurred in SARS-CoV-2 infected neonates (9%) while 10 (2.04%) in the SAR-CoV-2 negative group. The risk of neonatal death was higher in SARS-CoV-2 infected newborns [odds ratio (OR) 4.8; 95% CI 1.25-18.36]. CONCLUSION: Neonatal SARS-CoV-2 infection is observed in almost 6% of neonates born to mothers with perinatal COVID-19. There is a higher risk of adverse outcomes such as neonatal sepsis and death in the SARS-CoV-2 infected as compared to the noninfected neonates.

The current pandemic of COVID-19 has affected all the countries globally. However, the adverse impact of the pandemic is more seen in the low-income and middle-income countries (LMICs). Although there is evidence on the adverse impact of the SARS-CoV-2 on the health of mothers and neonates, the evidence is mainly from high-income countries. For reducing the mortality and morbidity due to COVID-19 in LMICs, there is a need to generate evidence from the LMICs. The present study is a part of the National Registry of pregnant women with COVID-19 in India (PregCovid registry). Our study demonstrates a higher risk of adverse outcomes such as neonatal sepsis and death in the SARS-CoV-2 infected as compared to the noninfected neonates. The study also showed the risk of SARS-CoV-2 infection in 6.3% of neonates born to mothers with COVID-19.

Co-infection of malaria and early clearance of SARS-CoV-2 in healthcare workers.

Healthcare workers (HCWs) are at higher risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Information regarding co-infection of SARS-CoV-2 with vector-borne diseases (malaria and dengue) is crucial especially for the countries wherein malaria and dengue are endemic. The objective was to study the prevalence, demographic, clinical presentations among HCWs with coronavirus disease 2019 (COVID-19) and to compare the viral clearance in HCWs with COVID-19 and co-infection of malaria and dengue. This retrospective study was conducted at a dedicated COVID-19 hospital, BYL Nair Charitable Hospital (NH), Mumbai, India April 6th-October 31st 2020. The SARS-CoV-2 infection in HCWs was confirmed by reverse transcription-plymerase chain reaction. Out of 491 HCWs infected with SARS-CoV-2, analysis of viral clearance was carried out in 467 HCWs over seven month periods, The prevalence of SARS-CoV-2 infection in HCWs was 13% (491 out of 3711). Out of the HCWs with COVID-19, prevalence of SARS-CoV-2 infection was higher among security guards (25%) with 1% mortality. The co-infection of malaria or dengue was reported in 31 HCWs (6.3%). The mean duration of virus clearance was longer (12 days) in symptomatic HCWs as compared to asymptomatic (8 days, p < .005). The recovery of SARS-CoV-2 infection in HCWs was faster (mean 8 days) with co-infection of malaria than without malaria (p < .005). We recommend universal testing of HCWs, to optimize staffing levels during the current pandemic as HCWs are the most precious resource. There is a need to effectively implement standard protocols for prevention of vector-borne diseases, especially in the hospital settings.