Literature DB >> 35395419

Preeclampsia and Severe Maternal Morbidity During the COVID-19 Pandemic: A Population-Based Cohort Study in Ontario, Canada.

John W Snelgrove1, Andrea N Simpson2, Rinku Sutradhar3, Karl Everett4, Ning Liu5, Nancy N Baxter6.   

Abstract

OBJECTIVE: Significant changes to the delivery of obstetrical care that occurred with the onset of the COVID-19 pandemic may be associated with higher risks of adverse maternal outcomes. We evaluated preeclampsia/HELLP (hemolysis, elevated liver enzymes and low platelets) syndrome and composite severe maternal morbidity (SMM) among pregnant people who gave birth during the COVID-19 pandemic and compared these data with those of people who gave birth before the pandemic in Ontario, Canada.
METHODS: This was a population-based, retrospective cohort study using linked administrative data sets from ICES. Data on pregnant people at ≥20 weeks gestation who gave birth between March 15, 2020, and September 30, 2021, were compared with those of pregnant people who gave birth within the same date range for the years 2015-2019. We used multivariable logistic regression to assess the effect of the pandemic period on the odds of preeclampsia/HELLP syndrome and composite SMM, adjusting for maternal baseline characteristics and comorbidities.
RESULTS: There were no differences between the study periods in the adjusted odds ratios (aORs) for preeclampsia/HELLP syndrome among primiparous (aOR 1.00; 95% CI 0.91-1.11) and multiparous (aOR 0.94; 95% CI 0.81-1.09) patients and no differences for composite SMM (primiparous, aOR 1.00; 95% CI 0.95-1.05; multiparous, aOR 1.01; 95% CI 0.95-1.08).
CONCLUSION: Adverse maternal outcomes were not higher among pregnant people who gave birth during the first 18 months of the COVID-19 pandemic in Ontario, Canada, when compared with those who gave birth before the pandemic.
Copyright © 2022 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; HELLP syndrome; Ontario; cohort study; pre-eclampsia; pregnancy; pregnancy complications

Mesh:

Year:  2022        PMID: 35395419      PMCID: PMC8979839          DOI: 10.1016/j.jogc.2022.03.008

Source DB:  PubMed          Journal:  J Obstet Gynaecol Can        ISSN: 1701-2163


J.W. Snelgrove A.N. Simpson

Introduction

The COVID-19 pandemic necessitated rapid changes to models of health care provision in order to reduce physical interactions and to mitigate the risks of severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) viral transmission. Obstetrical care adaptations in response to the pandemic included the introduction of virtual care and the deferral or delay of in-person visits, obstetrical ultrasounds, and other maternal investigations. , Health care seeking behaviour among pregnant patients changed during the pandemic as well, with fewer scheduled and unscheduled antenatal visits. A systematic review of global health care adaptations across pregnancy, birth, and the postpartum period found overall reduced rates of in-person antenatal care attendance, pregnancy health screening, and hospital admission where urgent care was sought, along with delayed presentation to unscheduled triage visits and the intended place of birth with labour onset. Coinciding with these changes, increased rates of adverse maternal outcomes, including the hypertensive disorders of pregnancy, maternal depression, and maternal death, have been reported in several studies in both high income countries and low and middle income countries (LMIC). , , This suggests that adaptations to health care systems in response to the COVID-19 pandemic may have increased delays in the diagnosis or management of serious maternal conditions or in pregnant patients accessing obstetrical care. It is possible that such delays could be associated with the increased rates of severe maternal morbidity and mortality reported in some studies. A relationship between the pandemic onset and these and other maternal adverse outcomes has not been observed consistently in the literature, likely due in part to the variation in health care provision adaptations and other health system responses to the COVID-19 pandemic among different jurisdictions. , , Canadian estimates of the pandemic effects on maternal outcomes have not yet been reported but are vital in addressing this health crisis within the country and maintaining a safe and effective health care system for pregnant people. Our objective was to evaluate whether pregnant people in Ontario, Canada, who delivered during the first 18 months of the COVID-19 pandemic (from March 2020 to September 2021) experienced an increased risk of the hypertensive disorders of pregnancy, including the hemolysis, elevated liver enzyme, low platelets (HELLP) syndrome, and severe maternal morbidity (SMM), compared with a historical cohort.

Methods

We performed a population-based retrospective cohort study using linked health administrative datasets for Ontario, Canada. All datasets were linked using unique encoded identifiers and analyzed at ICES, formerly known as the “Institute for Clinical Evaluative Sciences.” We followed the REporting of studies Conducted using Observational Routinely-collected Data (RECORD) reporting guideline (online Appendix 1). In Ontario, data on all patients admitted to hospital are captured in the Canadian Institute for Health Information Discharge Abstract Database. Pregnant people with an in-hospital birth at ≥20 weeks gestational age identified in the Linked Delivering Mother and Newborn (MOMBABY) dataset derived from Canadian Institute for Health Information Discharge Abstract Database were included in the study. Pregnant people who gave birth from March 15, 2020, to September 30, 2021 (pandemic group) were compared with pregnant people who gave birth from March 15, 2015, to September 30, 2019 (historical group). We chose March 15, 2020, as the starting date for births included in the pandemic group because the initial set of major public health and travel restrictions and health care system adaptations in Ontario coincided with the first provincial lockdown in mid-March 2020. Maternal characteristics included age (continuous), parity (nulliparous vs. multiparous), singleton versus multiple gestation, medical comorbidities, assisted reproductive technology (ART; binary variable defined as the use of in vitro fertilization and associated technologies), neighborhood income quintile, and SARS-CoV-2 infection during pregnancy (binary). We assessed for preexisting hypertension and diabetes using the International Statistical Classification of Diseases and Related Health Problems, 10th revision codes reported in the Ontario Hypertension Dataset (HYPER) and Ontario Diabetes Dataset (ODD) validated ICES datasets, respectively. , We adjusted for other preexisting comorbidities by including the Johns Hopkins aggregated diagnosis groups (ADG) comorbidity score (continuous), which is a validated predictor of mortality in the general adult population of Ontario. All covariates were recorded at the time of birth, except for preexisting hypertension, diabetes, and the ADG comorbidity score, which were assessed in the 3 years preceding the onset of pregnancy. The primary binary outcome was severe preeclampsia or HELLP syndrome from 20 weeks gestation through 42 days postpartum. Composite SMM was the secondary binary outcome and was comprised of conditions characterized by end-organ dysfunction or a high risk of maternal mortality that are associated with pregnancy, birth, or the postpartum period. The indicators used to define SMM have been previously validated for Canada and have been widely used to evaluate maternal morbidity.12, 13, 14, 15, 16, 17 Outcomes were identified in the linked datasets at ICES using diagnostic and procedural codes from the International Statistical Classification of Diseases and Related Health Problems, 10th revision and the Canadian Classification of Health Interventions. , In addition to the datasets already described, maternal demographic and age information were identified using the Registered Persons Database, and mode of delivery was identified using Canadian Classification of Health Interventions codes and physician billing codes within the Ontario Health Insurance Plan dataset. The online Appendix 2 includes more information on the linked datasets and variables used in this study. Crude proportions were calculated for preeclampsia/HELLP syndrome, composite SMM, and specific SMM types that could potentially be affected by care-provision changes during the pandemic. A standardized difference of >0.10 in the distributions of characteristics between pandemic and historical groups was considered significant. We performed multivariable logistic regression to examine the adjusted association between the primary exposure (pandemic vs. historical groups) and each outcome. A generalized estimating equations approach was used with an exchangeable correlation structure to account for clustering at the level of the institution where the birth occurred. We tested for interaction between pandemic group exposure and preexisting hypertension to account for the possibility of different care-provision practices for pregnant people with this risk factor. Analyses were stratified by parity and performed using SAS version 7.15 (SAS Institute). Statistical tests were 2-sided, with a P value < 0.05 considered significant. The use of data in this project was authorized under section 45 of Ontario’s Personal Health Information Protection Act, which does not require review by a research ethics board. This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care. This study also received funding from the Canadian Institutes of Health Research.

Results

The number of births was 157 779 during the pandemic period and 563 859 during the historical period (Figure ). The distributions of baseline characteristics between pandemic and historical groups were similar (Table 1 ). The median maternal age was 32 years (interquartile range 28–35) for the pandemic group and 31 years (interquartile range 28–34) for the historical group. Preexisting diabetes had a prevalence of 2.6% for the pandemic group and 2.2% for historical group, and preexisting hypertension occurred in just over 2% of both groups. The distribution of ADG preexisting comorbidity scores was also consistent between groups. Pregnancy and birth variables were similar, with primiparous people comprising 50.7% of the pandemic group and 48.6% of the historical group. Cesarean was the mode of delivery for 32.1% of pandemic pregnancies and 29.4% of historical pregnancies. Demographic variables had similar distributions between groups, including neighbourhood income quintile and rurality. In the pandemic group, 1.7% had a confirmed positive SARS-CoV-2 test during pregnancy, and 0.2% had a positive test at the time of delivery, although most people were either not tested or had an unknown test status during the study timeframe (Table 1).
Figure 1

Flow diagram of included pregnant people in the pandemic (2020–2021) and historical (2015–2019) study groups.

Table 1

Distributions of baseline characteristics of the study population by pandemic and historical periods

CharacteristicPeriod; no. (%)a
Pandemic; n = 157 779Historical; n = 563 859
Age, y
 Mean ± SD31.42 ± 5.0030.96 ± 5.20
 Median (IQR)32 (28–35)31 (28–34)
Area of residence
 Urban141 289 (89.5 )506 099 (89.8 )
 Rural16 225 (10.3)56 968 (10.1)
 Missing265 (0.2)792 (0.1)
Neighborhood income quintile
 1 (lowest)32 560 (20.6)120 795 (21.4)
 231 628 (20.0)111 442 (19.8)
 333 848 (21.5)118 553 (21.0)
 432 876 (20.8)117 313 (20.8)
 5 (highest)26 512 (16.8)94 702 (16.8)
 Missing355 (0.2)1054 (0.2)
ADG comorbidity score
 0163 (0.1)650 (0.1)
 1–539 841 (25.3)135 210 (24.0)
 6–969 865 (44.3)251 403 (44.6)
 ≥1047 910 (30.4)176 596 (31.3)
Preexisting hypertension3331 (2.1)12 991 (2.3)
Preexisting diabetes4071 (2.6)12 635 (2.2)
Parity
 Primiparous79 980 (50.7)273 956 (48.6)
 Multiparous77 799 (49.3)289 903 (51.4)
ART5458 (3.5)17 953 (3.2)
Multiple gestation pregnancy2601 (1.6)10 001 (1.8)
Mode of delivery
 Spontaneous vaginal93 861 (59.5)352 254 (62.5)
 Operative vaginal13 301 (8.4)45 746 (8.1)
 Cesarean50 605 (32.1)165 797 (29.4)
 Missing12 (0.0)62 (0.0)
SARS-CoV-2 infection during pregnancy
 Negative49 064 (31.1)
 Positive2743 (1.7)
 Unknown/not tested105 972 (67.2)
SARS-CoV-2 infection at delivery
 Negative16 116 (10.2)
 Positive256 (0.2)
 Unknown/not tested141 407 (89.6)

ADG: aggregated diagnosis group; ART: assisted reproductive technology; IQR: interquartile range; SARS-CoV-2: severe acute respiratory syndrome coronavirus-2.

Unless otherwise specified.

Flow diagram of included pregnant people in the pandemic (2020–2021) and historical (2015–2019) study groups. Distributions of baseline characteristics of the study population by pandemic and historical periods ADG: aggregated diagnosis group; ART: assisted reproductive technology; IQR: interquartile range; SARS-CoV-2: severe acute respiratory syndrome coronavirus-2. Unless otherwise specified. There was no difference in preeclampsia/HELLP syndrome between pandemic (879 cases [0.6%]) and historical groups (3119 cases [0.6%]) and no differences in composite SMM or specific SMM types (Table 2 ). In the multivariable model, the adjusted odds ratio (aOR) for preeclampsia/HELLP syndrome among pregnant people in the pandemic group compared with pregnant people in the historical group was 1.00 (95% confidence interval [CI] 0.91–1.11) for primiparas and 0.94 (95% CI 0.81–1.09) for multiparas (Table 3 ). There was no evidence of interaction with preexisting hypertension (primiparous: P = 0.85, multiparous: P = 0.61). There were no differences in composite SMM between groups for primiparas (aOR 1.00; 95% CI 0.95–1.05) or multiparas (aOR 1.01; 95% CI 0.95–1.08) (Table 3). Maternal age, rurality, preexisting comorbidities, and the use of ART were all associated with increased odds of preeclampsia/HELLP syndrome and with composite SMM for both primiparas and multiparas. Pregnant people residing in the lowest income quintile areas were more likely to experience preeclampsia/HELLP syndrome and composite SMM compared with those residing in the highest quintile areas, for both primiparas and multiparas (Table 3).
Table 2

Unadjusted proportions of severe preeclampsia/HELLP syndrome, composite SMM, and specific SMM types during pandemic (2020–2021) and historical (2015–2019) periods

OutcomePeriod; no. (%)
Standardized difference
Pandemic; n = 157 779Historical; n = 563 859
Preeclampsia/HELLP syndrome879 (0.6)3119 (0.6)<0.10
Composite SMM3752 (2.4)13 232 (2.3)<0.10
SMM typea
Complications of medical conditions169 (0.1)594 (0.1)<0.10
Maternal ARDS/ventilation149 (0.1)554 (0.1)<0.10
Maternal ICU admission551 (0.3)2009 (0.4)<0.10
Intrapartum hemorrhage80 (0.1)271 (0.0)<0.10
Postpartum hemorrhage1103 (0.7)3818 (0.7)<0.10
Sepsis382 (0.2)1780 (0.3)<0.10
Complications of anesthesia9 (0.0)53 (0.0)<0.10
Thromboembolism74 (0.0)259 (0.0)<0.10
Coagulopathy81 (0.1)258 (0.0)<0.10
Maternal death≤5 (0.0)≤5 (0.0)<0.10

ARDS: acute respiratory distress syndrome; HELLP syndrome: hemolysis, elevated liver enzymes, low platelets syndrome; ICU: intensive care unit; SMM: severe maternal morbidity.

SMM types are not mutually exclusive.

Table 3

Multivariable logistic regression models by parity for odds of primary and secondary outcomes, comparing pandemic (2020–2021) and historical (2015–2019) periods

PrimiparousMultiparous
Odds ratio (95% CI)Odds ratio (95% CI)
Outcome and variablesUnadjustedAdjustedUnadjustedAdjusted
Preeclampsia/HELLP syndrome
Pandemic vs. historical period1.01 (0.91–1.12)1.00 (0.91–1.11)0.95 (0.82–1.11)0.94 (0.81–1.09)
Age, y1.03 (1.02–1.04)1.02 (1.01–1.03)1.06 (1.04–1.07)1.05 (1.03–1.06)
Rural vs. urban residence1.42 (1.16–1.74)1.46 (1.21–1.77)1.22 (0.95–1.57)1.31 (1.03–1.67)
Income quintile (ref: 5-highest)
1 (lowest)1.16 (0.95–1.41)1.20 (1.00–1.44)1.42 (1.16–1.72)1.46 (1.23–1.73)
20.99 (0.79–1.23)1.01 (0.82–1.25)1.20 (0.94–1.54)1.24 (0.99–1.55)
31.17 (0.99–1.38)1.19 (1.01–1.39)1.02 (0.81–1.29)1.05 (0.85–1.29)
41.14 (0.99–1.32)1.15 (1.00–1.31)1.03 (0.86–1.24)1.04 (0.88–1.22)
Preexisting hypertension3.17 (2.68–3.74)2.38 (1.96–2.88)4.94 (4.17–5.85)3.53 (2.98–4.18)
Preexisting diabetes2.89 (2.45–3.40)2.15 (1.84–2.52)2.70 (2.04–3.57)1.70 (1.29–2.24)
ADG comorbidity score1.05 (1.03–1.06)1.04 (1.02–1.05)1.09 (1.07–1.11)1.07 (1.06–1.09)
ART2.02 (1.63–2.50)1.72 (1.39–2.13)2.24 (1.65–3.06)1.76 (1.32–2.36)
Composite SMM
Pandemic vs. historical period0.99 (0.94–1.04)1.00 (0.95–1.05)0.99 (0.94–1.04)1.01 (0.95–1.08)
Age, y1.03 (1.03–1.04)1.03 (1.02–1.03)1.03 (1.02–1.03)1.03 (1.03–1.04)
Rural vs. urban residence1.20 (1.05–1.36)1.27 (1.12–1.44)1.25 (1.10–1.42)1.29 (1.14–1.46)
Income quintile (ref: 5-highest)
1 (lowest)1.21 (1.08–1.36)1.26 (1.13–1.39)1.26 (1.14–1.39)1.44 (1.27–1.62)
21.09 (0.96–1.23)1.11 (0.98–1.25)1.11 (0.99–1.25)1.23 (1.07–1.42)
31.10 (1.00–1.22)1.11 (1.02–1.22)1.12 (1.03–1.22)1.13 (0.98–1.30)
41.09 (1.01–1.17)1.08 (1.00–1.15)1.09 (1.02–1.17)1.11 (0.99–1.24)
Preexisting hypertension2.29 (1.99–2.63)1.71 (1.52–1.91)1.70 (1.52–1.91)1.70 (1.50–1.93)
Preexisting diabetes1.93 (1.70–2.18)1.42 (1.26–1.60)1.42 (1.25–1.60)1.43 (1.28–1.60)
ADG comorbidity score1.07 (1.05–1.09)1.07 (1.05–1.08)1.07 (1.05–1.08)1.09 (1.08–1.11)
ART2.11 (1.91–2.33)1.77 (1.60–1.97)1.78 (1.60–1.97)1.89 (1.58–2.28)

ADG: aggregated diagnosis group; ART: assisted reproductive technology; HELLP syndrome: hemolysis, elevated liver enzymes, low platelets syndrome; SMM: severe maternal morbidity.

Unadjusted proportions of severe preeclampsia/HELLP syndrome, composite SMM, and specific SMM types during pandemic (2020–2021) and historical (2015–2019) periods ARDS: acute respiratory distress syndrome; HELLP syndrome: hemolysis, elevated liver enzymes, low platelets syndrome; ICU: intensive care unit; SMM: severe maternal morbidity. SMM types are not mutually exclusive. Multivariable logistic regression models by parity for odds of primary and secondary outcomes, comparing pandemic (2020–2021) and historical (2015–2019) periods ADG: aggregated diagnosis group; ART: assisted reproductive technology; HELLP syndrome: hemolysis, elevated liver enzymes, low platelets syndrome; SMM: severe maternal morbidity.

Discussion

We used population-level data for Ontario to extend our understanding of pandemic-era effects on adverse maternal outcomes. We found no increase in the risks of preeclampsia/HELLP syndrome or composite SMM during the first 18 months of the COVID-19 pandemic after adjusting for maternal demographics and comorbidities, pregnancy variables, and delivery mode. We found no evidence of interaction between preexisting hypertension and exposure to the pandemic period. Our findings are similar to earlier studies, including a single-centre study from a tertiary maternity centre in Ireland and a meta-analysis of maternal morbidity in high-income countries during the pandemic. The majority of studies included in this meta-analysis were from single centres and focused on perinatal outcomes. We expand the literature by using population-level data to evaluate maternal outcomes of preeclampsia/HELLP syndrome and composite SMM in Ontario, Canada. Preeclampsia/HELLP syndrome is the among the most common causes of maternal morbidity and one of the most likely to recur in a subsequent pregnancy, , and composite SMM is an important surveillance measure of maternal health that can be compared across jurisdictions,21, 22, 23 making these outcomes vital to track in relation to the ongoing COVID-19 pandemic. Although we found no differences in maternal outcomes during the first 18 months of the pandemic, higher risks of maternal death and hypertensive disorders have been reported in the meta-analysis by Chmielewska and colleagues with the inclusion of studies from LMICs. The ability of health systems to respond to additional resource demands necessitated by the pandemic may partly explain the differences observed between high-income countries and LMICs. A significant risk factor for both preeclampsia/HELLP syndrome and composite SMM is social disadvantage, and the present study corroborates this well-established finding in both the historical and pandemic groups. , , Research increasingly points to the disproportionate risks of COVID-19 disease and associated adverse outcomes borne by people from socioeconomically disadvantaged backgrounds and marginalized and racialized groups.25, 26, 27 Obstetrical care adaptations implemented in response to the pandemic may further exacerbate inequities among these at-risk groups. , How the social determinants of health contribute to adverse maternal outcomes during the COVID-19 pandemic represents a critical area for further research. Our study was population-based and included all in-hospital births in Ontario, which amount to >97% of births in the province. We adjusted for preexisting comorbidities and ART and used validated outcome measures comparable to other work in the field of maternal morbidity. There were nonetheless some limitations with our study. We were unable to adjust for some maternal risk factors, such as body mass index and smoking, and did not include pregnancies that ended before 20 weeks gestation. A recent Canadian study found higher rates of postpartum depression and anxiety in people who gave birth during the pandemic compared with those who gave birth prior to the pandemic. Our analysis was not able to comprehensively assess for mental illnesses; in particular, we could not account for conditions managed in the outpatient setting that did not result in hospital admission. This represents an important area for future research and intervention. Adaptations to health care delivery occurred province-wide in Ontario with a synchronous onset that coincided with the first lockdown in March 2020. However, the variation among institutions and providers in how obstetrical care changes were implemented and whether certain patient subgroups experienced the effects of these adaptations differently were not assessed in this study. Seasonal trends in preeclampsia/HELLP and other types of SMM as well as fluctuations in COVID-19 incidence during the pandemic were not addressed in this study. Pandemic and historical groups were identified using corresponding calendar months to minimize differences based on the seasonality of our outcomes of interest. Despite these limitations, this study used robust population-based data to evaluate the effects of the COVID-19 pandemic on validated maternal outcomes. It provides evidence of the pandemic effects on maternal health in a high-income setting with publicly funded health care and is the first to report on this topic in Canada.

Conclusion

Our findings suggest that the changes in obstetrical care provision and other factors related to the pandemic have not resulted in increased risks of preeclampsia and HELLP syndrome or adverse maternal outcomes overall during the first 18 months of the COVID-19 pandemic. This is the first study to evaluate these associations in Canada. Future work will focus on the specific patterns of obstetrical care changes during the pandemic and whether these differed among at-risk populations.
  25 in total

1.  Severe maternal morbidity in Canada, 2003 to 2007: surveillance using routine hospitalization data and ICD-10CA codes.

Authors:  K S Joseph; Shiliang Liu; Jocelyn Rouleau; Russell S Kirby; Michael S Kramer; Reg Sauve; William D Fraser; David C Young; Robert M Liston
Journal:  J Obstet Gynaecol Can       Date:  2010-09

2.  Maternal mortality and severe maternal morbidity surveillance in Canada.

Authors:  Victoria M Allen; Melanie Campbell; George Carson; William Fraser; Robert M Liston; Mark Walker; Jon Barrett
Journal:  J Obstet Gynaecol Can       Date:  2010-12

3.  Prevalence and incidence of hypertension from 1995 to 2005: a population-based study.

Authors:  Karen Tu; Zhongliang Chen; Lorraine L Lipscombe
Journal:  CMAJ       Date:  2008-05-20       Impact factor: 8.262

4.  Depression, Anxiety, and Mother-Infant Bonding in Women Seeking Treatment for Postpartum Depression Before and During the COVID-19 Pandemic.

Authors:  Haley Layton; Sawayra Owais; Calan D Savoy; Ryan J Van Lieshout
Journal:  J Clin Psychiatry       Date:  2021-07-06       Impact factor: 4.384

5.  Clinical Characteristics and Outcomes of Hospitalized Women Giving Birth With and Without COVID-19.

Authors:  Karola S Jering; Brian L Claggett; Jonathan W Cunningham; Ning Rosenthal; Orly Vardeny; Michael F Greene; Scott D Solomon
Journal:  JAMA Intern Med       Date:  2021-05-01       Impact factor: 21.873

6.  Severe maternal morbidity surveillance: Monitoring pregnant women at high risk for prolonged hospitalisation and death.

Authors:  Susie Dzakpasu; Paromita Deb-Rinker; Laura Arbour; Elizabeth K Darling; Michael S Kramer; Shiliang Liu; Wei Luo; Phil A Murphy; Chantal Nelson; Joel G Ray; Heather Scott; Michiel VandenHof; K S Joseph
Journal:  Paediatr Perinat Epidemiol       Date:  2019-08-12       Impact factor: 3.980

7.  Effects of the COVID-19 pandemic on maternal and perinatal outcomes: a systematic review and meta-analysis.

Authors:  Barbara Chmielewska; Imogen Barratt; Rosemary Townsend; Erkan Kalafat; Jan van der Meulen; Ipek Gurol-Urganci; Pat O'Brien; Edward Morris; Tim Draycott; Shakila Thangaratinam; Kirsty Le Doare; Shamez Ladhani; Peter von Dadelszen; Laura Magee; Asma Khalil
Journal:  Lancet Glob Health       Date:  2021-03-31       Impact factor: 26.763

Review 8.  Adapting obstetric and neonatal services during the COVID-19 pandemic: a scoping review.

Authors:  Shira Gold; Lauren Clarfield; Jennie Johnstone; Yenge Diambomba; Prakesh S Shah; Wendy Whittle; Nimrah Abbasi; Cristian Arzola; Rizwana Ashraf; Anne Biringer; David Chitayat; Marie Czikk; Milena Forte; Tracy Franklin; Michelle Jacobson; Johannes Keunen; John Kingdom; Stephen Lapinsky; Joanne MacKenzie; Cynthia Maxwell; Mary Preisman; Greg Ryan; Amanda Selk; Mathew Sermer; Candice Silversides; John Snelgrove; Nancy Watts; Beverly Young; Charmaine De Castro; Rohan D'Souza
Journal:  BMC Pregnancy Childbirth       Date:  2022-02-11       Impact factor: 3.007

9.  Recurrence of severe maternal morbidity: A population-based cohort analysis of California women.

Authors:  Shalmali Bane; Elizabeth Wall-Wieler; Audrey Lyndon; Suzan L Carmichael
Journal:  Paediatr Perinat Epidemiol       Date:  2020-11-06       Impact factor: 3.980

10.  Global changes in maternity care provision during the COVID-19 pandemic: A systematic review and meta-analysis.

Authors:  Rosemary Townsend; Barbara Chmielewska; Imogen Barratt; Erkan Kalafat; Jan van der Meulen; Ipek Gurol-Urganci; Pat O'Brien; Edward Morris; Tim Draycott; Shakila Thangaratinam; Kirsty Le Doare; Shamez Ladhani; Peter von Dadelszen; Laura A Magee; Asma Khalil
Journal:  EClinicalMedicine       Date:  2021-06-19
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  1 in total

Review 1.  COVID-19 and hemolysis, elevated liver enzymes and thrombocytopenia syndrome in pregnant women - association or causation?

Authors:  Prashant Nasa; Deven Juneja; Ravi Jain; Ruchi Nasa
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  1 in total

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