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Cheng TS, Zahir F, Carolin SV, Verma A, Rao S, Choudhury SS, Deka G, Mahanta P, Kakoty S, Medhi R, Chhabra S, Rani A, Bora A, Roy I, Minz B, Bharti OK, Deka R, Opondo C, Churchill D, Knight M, Kurinczuk JJ, Nair M. Risk factors for labour induction and augmentation: a multicentre prospective cohort study in India. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2024; 25:100417. [PMID: 38757059 PMCID: PMC11097080 DOI: 10.1016/j.lansea.2024.100417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/10/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024]
Abstract
Background Guidelines for labour induction/augmentation involve evaluating maternal and fetal complications, and allowing informed decisions from pregnant women. This study aimed to comprehensively explore clinical and non-clinical factors influencing labour induction and augmentation in an Indian population. Methods A prospective cohort study included 9305 pregnant women from 13 hospitals across India. Self-reported maternal socio-demographic and lifestyle factors, and maternal medical and obstetric histories from medical records were obtained at recruitment (≥28 weeks of gestation), and women were followed up within 48 h after childbirth. Maternal and fetal clinical information were classified based on guidelines into four groups of clinical factors: (i) ≥2 indications, (ii) one indication, (iii) no indication and (iv) contraindication. Associations of clinical and non-clinical factors (socio-demographic, healthcare utilisation and lifestyle related) with labour induction and augmentation were investigated using multivariable logistic regression analyses. Findings Over two-fifths (n = 3936, 42.3%, 95% confidence interval [CI] 41.3-43.3%) of the study population experienced labour induction and more than a quarter (n = 2537, 27.3%, 95% CI 26.4-28.2%) experienced augmentation. Compared with women with ≥2 indications, those with one (adjusted odds ratio [aOR] 0.50, 95% CI 0.42-0.58) or no indication (aOR 0.24, 95% CI 0.20-0.28) or with contraindications (aOR 0.12, 95% CI 0.07-0.20) were less likely to be induced, adjusting for non-clinical characteristics. These associations were similar for labour augmentation. Notably, 34% of women who were induced or augmented did not have any clinical indication. Several maternal demographic (age at labour, parity and body mass index in early pregnancy), healthcare utilization (number of antenatal check-ups, duration of iron-folic acid supplementation and individuals managing childbirth) and socio-economic factors (religion, living below poverty line, maternal education and partner's occupation) were independently associated with labour induction and augmentation. Interpretation Although decisions about induction and augmentation of labour in our study population in India were largely guided by clinical recommendations, we cannot ignore that more than a third of the women did not have an indication. Decisions could also be influenced by non-clinical factors which need further research. Funding The MaatHRI platform is funded by a Medical Research Council Career Development Award (Grant Ref: MR/P022030/1) and a Transition Support Award (Grant Ref: MR/W029294/1).
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Affiliation(s)
- Tuck Seng Cheng
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Farzana Zahir
- Department of Obstetrics and Gynaecology, Assam Medical College, Dibrugarh, Assam, India
| | - Solomi V. Carolin
- Department of Obstetrics and Gynaecology, Makunda Christian Leprosy and General Hospital, Karimganj, Assam, India
| | - Ashok Verma
- Department of Obstetrics and Gynaecology, Dr Rajendra Prasad, Government Medical College, Kangra, Tanda, Himachal Pradesh, India
| | - Sereesha Rao
- Department of Obstetrics and Gynaecology, Silchar Medical College and Hospital, Silchar, Assam, India
| | - Saswati Sanyal Choudhury
- Department of Obstetrics and Gynaecology, Gauhati Medical College and Hospital, Guwahati, Assam, India
| | - Gitanjali Deka
- Department of Obstetrics and Gynaecology, Tezpur Medical College, Tezpur, India
| | - Pranabika Mahanta
- Department of Obstetrics and Gynaecology, Jorhat Medical College and Hospital, Jorhat, Assam, India
| | - Swapna Kakoty
- Department of Obstetrics and Gynaecology, Fakhruddin Ali Ahmed Medical College and Hospital, Barpeta, Assam, India
| | - Robin Medhi
- Department of Obstetrics and Gynaecology, Fakhruddin Ali Ahmed Medical College and Hospital, Barpeta, Assam, India
| | - Shakuntala Chhabra
- Department of Obstetrics and Gynaecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India
| | - Anjali Rani
- Department of Obstetrics and Gynaecology, Banaras Hindu University Institute of Medical Sciences, Varanasi, Uttar Pradesh, India
| | - Amrit Bora
- Department of Obstetrics and Gynaecology, Sonapur District Hospital, Assam, India
| | - Indrani Roy
- Department of Obstetrics and Gynaecology, Nazareth Hospital, Shillong, Meghalaya, India
| | - Bina Minz
- Department of Obstetrics and Gynaecology, Sewa Bhawan Hospital Society, Chattisgarh, India
| | - Omesh Kumar Bharti
- State Institute of Health and Family Welfare, Department of Health & Family Welfare, Government of Himachal Pradesh, India
| | - Rupanjali Deka
- MaatHRI Project, Srimanta Sankaradeva University of Health Sciences, Guwahati, Assam, India
| | - Charles Opondo
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - David Churchill
- Department of Obstetrics and Gynaecology, The Royal Wolverhampton NHS Trust, UK
- Research Institute for Healthcare Science, University of Wolverhampton, UK
| | - Marian Knight
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Jennifer J. Kurinczuk
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Manisha Nair
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, Oxford University, Oxford, UK
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Tura AK, Girma S, Dessie Y, Bekele D, Stekelenburg J, van den Akker T, Knight M. Establishing the Ethiopian Obstetric Surveillance System for Monitoring Maternal Outcomes in Eastern Ethiopia: A Pilot Study. GLOBAL HEALTH, SCIENCE AND PRACTICE 2023; 11:GHSP-D-22-00281. [PMID: 37116928 PMCID: PMC10141431 DOI: 10.9745/ghsp-d-22-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 02/21/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Although the majority of maternal deaths and complications occur in low-resource settings, almost all existing strong registration and confidential enquiry systems are found in high-resource settings. We developed and piloted the Ethiopian Obstetric Surveillance System (EthOSS), based on the successful United Kingdom Obstetric Surveillance System (UKOSS) methodology, in 3 regions in Ethiopia to improve ongoing surveillance and tracking of maternal morbidities and deaths, as well as confidential enquiry, compared to the currently used maternal death surveillance and response program in Ethiopia. METHODS We launched the EthOSS monthly case notification system in 13 hospitals in eastern Ethiopia in April 2021. Study participants included women admitted to the hospitals from April to September 2021 with major adverse obstetric conditions during pregnancy, childbirth, or within 42 days of termination of pregnancy. Designated clinicians at the hospitals used a simple online system to report the number of cases and maternal deaths monthly to the EthOSS team. We present findings on the incidence and case fatality rates for adverse conditions included in the EthOSS. RESULTS Over the 6-month pilot period, 904 women with at least 1 EthOSS condition were included in the study, of whom 10 died (case fatality rate, 1.1%). Almost half (46.6%, 421/904) sustained major obstetric hemorrhage, 38.7% (350/904) severe anemia, 29.5% (267/904) eclampsia, 8.8% (80/904) sepsis, and 2.2% (20/904) uterine rupture. To enable care improvement alongside surveillance, the local committee received training on confidential enquiry into maternal deaths from internal and external experts. CONCLUSIONS In this facility-based project, data on severe adverse obstetric conditions were captured through voluntary reporting by clinicians. Further analysis is essential to assess the robustness of these data, and confidential enquiry into maternal deaths for specific cases is planned to investigate the appropriateness of care.
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Affiliation(s)
- Abera Kenay Tura
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
- Department of Obstetrics and Gynaecology, University Medical Centre Groningen, University of Groningen, the Netherlands
| | - Sagni Girma
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
- Department of Obstetrics and Gynaecology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Yadeta Dessie
- School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Delayehu Bekele
- Department of Obstetrics and Gynaecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Jelle Stekelenburg
- Department of Health Sciences, Global Health, University Medical Centre Groningen, University of Groningen, the Netherlands
- Department of Obstetrics and Gynaecology, Leeuwarden Medical Centre, Leeuwarden, the Netherlands
| | - Thomas van den Akker
- Department of Obstetrics and Gynaecology, Leiden University Medical Centre, Leiden, the Netherlands
- Athena Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Marian Knight
- National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom
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Alsharqi M, Ismavel VA, Arnold L, Choudhury SS, Solomi V C, Rao S, Nath T, Rani A, Goel I, Kakoty SD, Mahanta P, Roy I, Deka R, Opondo C, Baigent C, Leeson P, Nair M. Focused Cardiac Ultrasound to Guide the Diagnosis of Heart Failure in Pregnant Women in India. J Am Soc Echocardiogr 2022; 35:1281-1294. [PMID: 35934263 DOI: 10.1016/j.echo.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Cardiac complications are a leading cause of maternal death. Cardiac imaging with echocardiography is important for prompt diagnosis, but it is not available in many low-resource settings. The aim of this study was to determine whether focused cardiac ultrasound performed by trained obstetricians and interpreted remotely by experts can identify cardiac abnormalities in pregnant women in low-resource settings. METHODS A cross-sectional study was conducted among 301 pregnant and postpartum women recruited from 10 hospitals across three states in India. Twenty-two obstetricians were trained in image acquisition using a portable cardiac ultrasound device following a simplified protocol adapted from focus-assessed transthoracic echocardiography protocol. It included parasternal long-axis, parasternal short-axis, and apical four-chamber views on two-dimensional and color Doppler. Independent image interpretation was performed remotely by two experts, in the United Kingdom and India, using a standard semiquantitative assessment protocol. Interrater agreement between the experts was examined using Cohen's κ. Diagnostic accuracy of the method was examined in a subsample for whom both focused and conventional scans were available. RESULTS Cardiac abnormalities identified using the focused method included valvular abnormalities (27%), rheumatic heart disease (6.6%), derangements in left ventricular size (4.7%) and function (22%), atrial dilatation (19.5%), and pericardial effusion (30%). There was substantial agreement on the cardiac parameters between the two experts, ranging from 93.6% (κ = 0.84) for left ventricular ejection fraction to 100% (κ = 1) for valvular disease. Image quality was graded as good in 79% of parasternal long-axis, 77% of parasternal short-axis and 64% of apical four-chamber views. The chance-corrected κ coefficients indicated fair to moderate agreement (κ = 0.28-0.51) for the image quality parameters. There was good agreement on diagnosis between the focused method and standard echocardiography (78% agreement), compared in 36 participants. CONCLUSIONS The focused method accurately identified cardiac abnormalities in pregnant women and could be used for screening cardiac problems in obstetric settings.
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Affiliation(s)
- Maryam Alsharqi
- Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom; Department of Cardiac Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Vijay A Ismavel
- Makunda Christian Leprosy and General Hospital, Assam, India
| | - Linda Arnold
- Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | | | - Sereesha Rao
- Silchar Medical College and Hospital, Assam, India
| | - Tina Nath
- Gauhati Medical College and Hospital, Assam, India
| | - Anjali Rani
- Institute of Medical Sciences, Banaras Hindu University, Uttar Pradesh, India
| | - Isha Goel
- Gauhati Medical College and Hospital, Assam, India
| | - Swapna D Kakoty
- Fakhruddin Ali Ahmed Medical College and Hospital, Assam, India
| | | | | | - Rupanjali Deka
- Srimanta Sankaradeva University of Health Sciences, Assam, India
| | - Charles Opondo
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Colin Baigent
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Paul Leeson
- Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Manisha Nair
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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Fellmeth G, Kishore MT, Verma A, Desai G, Bharti O, Kanwar P, Singh S, Thippeswamy H, Chandra PS, Kurinczuk JJ, Nair M, Alderdice F. Perinatal mental health in India: protocol for a validation and cohort study. J Public Health (Oxf) 2021; 43:ii35-ii42. [PMID: 34622290 PMCID: PMC8498097 DOI: 10.1093/pubmed/fdab162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/07/2021] [Accepted: 05/05/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Common mental disorders (CMD) are among the largest contributors to global maternal morbidity and mortality. Although research on perinatal mental health in India has grown in recent years, important evidence gaps remain, especially regarding CMD. Our study aims to improve understanding of CMD among perinatal and non-perinatal women of reproductive age across two settings in India: Bangalore (Karnataka) and Tanda (Himachal Pradesh). METHODS The study is embedded within the Maternal and Perinatal Health Research Collaboration India (MaatHRI). This mixed-methods observational study comprises three consecutive phases: (i) focus group discussions and individual interviews to explore women's knowledge and seek feedback on CMD screening tools; (ii) validation of CMD screening tools; and (iii) prospective cohort study to identify CMD incidence, prevalence and risk factors among perinatal and non-perinatal women. Results of the three phases will be analyzed using inductive thematic analysis, psychometric analysis and multivariable regression analysis, respectively. CONCLUSION Improving understanding, detection and management of CMD among women is key to improving women's health and promoting gender equality. This study will provide evidence of CMD screening tools for perinatal and non-perinatal women in two diverse Indian settings, produce data on CMD prevalence, incidence and risk factors and enhance understanding of the specific contribution of the perinatal state to CMD.
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Affiliation(s)
- G Fellmeth
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - M T Kishore
- Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Bangalore, India
| | - A Verma
- Department of Obstetrics and Gynaecology, Dr Rajendra Prasad Government Medical College, Kangra, Himachal Pradesh, India
| | - G Desai
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India
| | - O Bharti
- State Institute of Health and Family Welfare, Department of Health and Family Welfare, Government of Himachal Pradesh, India
| | - P Kanwar
- Department of Psychiatry, Dr Rajendra Prasad Government Medical College, Kangra, Himachal Pradesh, India
| | - S Singh
- Department of Psychiatry, Dr Rajendra Prasad Government Medical College, Kangra, Himachal Pradesh, India
| | - H Thippeswamy
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India
| | - P S Chandra
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India
| | - J J Kurinczuk
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - M Nair
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - F Alderdice
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.,School of Nursing and Midwifery, Queen's University Belfast, Belfast, Northern Ireland
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Nair M, Chhabra S, Choudhury SS, Deka D, Deka G, Kakoty SD, Kumar P, Mahanta P, Medhi R, Rani A, Rao S, Roy I, Solomi V C, Talukdar RK, Zahir F, Kansal N, Arora A, Opondo C, Armitage J, Laffan M, Stanworth S, Quigley M, Baigent C, Knight M, Kurinczuk JJ. Relationship between anaemia, coagulation parameters during pregnancy and postpartum haemorrhage at childbirth: a prospective cohort study. BMJ Open 2021; 11:e050815. [PMID: 34607867 PMCID: PMC8491293 DOI: 10.1136/bmjopen-2021-050815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 09/17/2021] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES To investigate the association between coagulation parameters and severity of anaemia (moderate anaemia: haemoglobin (Hb) 7-9.9 g/dL and severe anaemia: Hb <7 g/dL) during pregnancy and relate these to postpartum haemorrhage (PPH) at childbirth. DESIGN A prospective cohort study of pregnant women recruited in the third trimester and followed-up after childbirth. SETTING Ten hospitals across four states in India. PARTICIPANTS 1342 pregnant women. INTERVENTION Not applicable. METHODS Hb and coagulation parameters: fibrinogen, D-dimer, D-dimer/fibrinogen ratio, platelets and international normalised ratio (INR) were measured at baseline. Participants were followed-up to measure blood loss within 2 hours after childbirth and PPH was defined based on blood loss and clinical assessment. Associations between coagulation parameters, Hb, anaemia and PPH were examined using multivariable logistic regression models. OUTCOMES MEASURES Adjusted OR with 95% CI. RESULTS In women with severe anaemia during the third trimester, the D-dimer was 27% higher, mean fibrinogen 117 mg/dL lower, D-dimer/fibrinogen ratio 69% higher and INR 12% higher compared with women with no/mild anaemia. Mean platelets in severe anaemia was 37.8×109/L lower compared with women with moderate anaemia. Similar relationships with smaller effect sizes were identified for women with moderate anaemia compared with women with no/mild anaemia. Low Hb and high INR at third trimester of pregnancy independently increased the odds of PPH at childbirth, but the other coagulation parameters were not found to be significantly associated with PPH. CONCLUSION Altered blood coagulation profile in pregnant women with severe anaemia could be a risk factor for PPH and requires further evaluation.
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Affiliation(s)
- Manisha Nair
- NPEU, Nuffield Department of Population Health, Oxford University, Oxford, Oxfordshire, UK
| | - Shakuntala Chhabra
- Department of Obstetrics and Gynaecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India
| | - Saswati Sanyal Choudhury
- Department of Obstetrics and Gynaecology, Gauhati Medical College and Hospital, Guwahati, Assam, India
| | - Dipika Deka
- Srimanta Sankaradeva University of Health Sciences, Guwahati, Assam, India
| | - Gitanjali Deka
- Department of Obstetrics and Gynaecology, Tezpur Medical College, Tezpur, India
| | - Swapna D Kakoty
- Department of Obstetrics and Gynaecology, Fakhruddin Ali Ahmed Medical College and Hospital, Barpeta, Assam, India
| | - Pramod Kumar
- Department of Obstetrics and Gynaecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India
| | - Pranabika Mahanta
- Department of Obstetrics and Gynaecology, Jorhat Medical College and Hospital, Jorhat, Assam, India
| | - Robin Medhi
- Department of Obstetrics and Gynaecology, Fakhruddin Ali Ahmed Medical College and Hospital, Barpeta, Assam, India
| | - Anjali Rani
- Department of Obstetrics and Gynaecology, Banaras Hindu University Institute of Medical Sciences, Varanasi, Uttar Pradesh, India
| | - Seeresha Rao
- Department of Obstetrics and Gynaecology, Silchar Medical College and Hospital, Silchar, Assam, India
| | - Indrani Roy
- Department of Obstetrics and Gynaecology, Nazareth Hospital, Shillong, Meghalaya, India
| | - Carolin Solomi V
- Department of Obstetrics and Gynaecology, Makunda Christian Leprosy and General Hospital, Karimganj, Assam, India
| | - Ratna Kanta Talukdar
- Department of Obstetrics and Gynaecology, Jorhat Medical College and Hospital, Jorhat, Assam, India
| | - Farzana Zahir
- Department of Obstetrics and Gynaecology, Assam Medical College, Dibrugarh, Assam, India
| | - Nimmi Kansal
- National Reference Laboratory, Dr Lal Pathlabs, New Delhi, India
| | - Anil Arora
- National Reference Laboratory, Dr Lal Pathlabs, New Delhi, India
| | - Charles Opondo
- Nuffield Department of Population Health, Oxford University, Oxford, Oxfordshire, UK
| | - Jane Armitage
- Nuffield Department of Population Health, Oxford University, Oxford, Oxfordshire, UK
| | - Michael Laffan
- Haemostasis and Thrombosis, Imperial College London Faculty of Medicine, London, UK
| | - Simon Stanworth
- Department of Haematology/Transfusion Medicine, Oxford University, Oxford, Oxfordshire, UK
| | - Maria Quigley
- National Perinatal Epidemiology Unit, Oxford University, Oxford, Oxfordshire, UK
| | - Colin Baigent
- Nuffield Department of Population Health, Oxford University, Oxford, Oxfordshire, UK
| | - Marian Knight
- National Perinatal Epidemiology Unit, Oxford University, Oxford, Oxfordshire, UK
| | - Jennifer J Kurinczuk
- National Perinatal Epidemiology Unit, Oxford University, Oxford, Oxfordshire, UK
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Nair M, MaatHRI writing group, on behalf of the MaatHRI collaborators. Reproductive health crisis during waves one and two of the COVID-19 pandemic in India: Incidence and deaths from severe maternal complications in more than 202,000 hospital births. EClinicalMedicine 2021; 39:101063. [PMID: 34585123 PMCID: PMC8461242 DOI: 10.1016/j.eclinm.2021.101063] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The SARS-CoV-2 pandemic in India has adversely affected many aspects of population health. We need detailed evidence of the impact on reproductive health in India so that lessons can be learnt. METHODS Hospital-based repeated monthly survey of nine severe maternal complications and death in 15 hospitals across five states in India covering a total of 202,986 hospital births, December-2018 through to May-2021. We calculated incidence rates (with 95% confidence intervals (CIs)) per 1000 hospital births, case-fatality and rate ratios (RR) with 95% CIs. Linear regression was used to examine the association between the Government Response Stringency Index (GRSI) for India and changes in hospital births, incidence and case-fatality. FINDINGS There was a significant decrease in hospital births per month during the pandemic period with a 4.8% decrease per 10% increase in the GRSI scores (p < 0.001). The overall incidence of severe complications in the pandemic period was not significantly different from the pre-pandemic period, but hospital admissions from septic abortion was 56% higher (RR=1.56; 95% CI=1.22-1.99; p < 0.001). The overall case-fatality of complications increased by 23% (RR=1.23; 95% CI=1.03-1.46; p = 0.022) and remained high across the different phases of the pandemic with a notable significant increase in deaths from heart failure in pregnancy. INTERPRETATION Our study supports the legitimacy of the calls made to maintain sexual and reproductive health services as essential services during the pandemic. Lessons learnt should be used to avert the ongoing reproductive health crisis while India plans to manage a third wave of the pandemic. FUNDING The MaatHRI platform and this study are funded by a Medical Research Council Career Development Award to MN (Ref:MR/P022030/1). The funder has no role in the study design, data collection, analysis, or writing the paper.
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Key Words
- CIs, Confidence Intervals
- Case-fatality
- DIC, Disseminated intravascular coagulation
- FIGO, International Federation of Gynaecology and Obstetrics
- GRSI, Government Response Stringency Index
- Incidence
- India
- MaatHRI, Maternal and perinatal Health Research collaboration, India
- Maternal complications
- Maternal death
- PPH, Postpartum haemorrhage
- RR, Rate ratios
- SARS-CoV-2
- SARS-CoV-2, Severe acute respiratory syndrome caused by the Coronavirus 2
- Septic abortion
- WHO, World Health Organisation
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