Abstract
BACKGROUND
Pregnant individuals are vulnerable to COVID-19–related acute respiratory distress syndrome. There is a lack of high-quality evidence on whether elective delivery or expectant management leads to better maternal and neonatal outcomes.
OBJECTIVE
This study aimed to determine whether elective delivery or expectant management are associated with higher quality-adjusted life expectancy for pregnant individuals with COVID-19-related acute respiratory distress syndrome and their neonates.
STUDY DESIGN
We performed a clinical decision analysis using a patient-level model in which we simulatedpregnant individuals and their unborn children. We used a patient-level model with parallel open-cohort structure, daily cycle length, continuous discounting, lifetime horizon, sensitivity analyses for key parameter values, and 1000 iterations for quantification of uncertainty. We simulated pregnant individuals at 32 weeks of gestation, invasively ventilated because of COVID-19–related acute respiratory distress syndrome. In the elective delivery strategy, pregnant individuals received immediate cesarean delivery. In the expectant management strategy, pregnancies continued until spontaneous labor or obstetrical decision to deliver. For both pregnant individuals and neonates, model outputs were hospital or perinatal survival, life expectancy, and quality-adjusted life expectancy denominated in years, summarized by the mean and 95% credible interval. Maternal utilities incorporated neonatal outcomes in accordance with best practices in perinatal decision analysis.
RESULTS
Model outputs for pregnant individuals were similar when comparing elective delivery at 32 weeks’ gestation with expectant management, including hospital survival (87.1% vs 87.4%), life-years (difference, −0.1; 95% credible interval, −1.4 to 1.1), and quality-adjusted life expectancy denominated in years (difference, −0.1; 95% credible interval, −1.3 to 1.1). For neonates, elective delivery at 32 weeks’ gestation was estimated to lead to a higher perinatal survival (98.4% vs 93.2%; difference, 5.2%; 95% credible interval, 3.5–7), similar life-years (difference, 0.9; 95% credible interval, −0.9 to 2.8), and higher quality-adjusted life expectancy denominated in years (difference, 1.3; 95% credible interval, 0.4–2.2). For pregnant individuals, elective delivery was not superior to expectant management across a range of scenarios between 28 and 34 weeks of gestation. Elective delivery in cases where intrauterine death or maternal mortality were more likely resulted in higher neonatal quality-adjusted life expectancy, as did elective delivery at 30 weeks' gestation (difference, 1.1 years; 95% credible interval, 0.1 – 2.1) despite higher long-term complications (4.3% vs 0.5%; difference, 3.7%; 95% credible interval, 2.4–5.1), and in cases where intrauterine death or maternal acute respiratory distress syndrome mortality were more likely.
CONCLUSION
The decision to pursue elective delivery vs expectant management in pregnant individuals with COVID-19–related acute respiratory distress syndrome should be guided by gestational age, risk of intrauterine death, and maternal acute respiratory distress syndrome severity. For the pregnant individual, elective delivery is comparable but not superior to expectant management for gestational ages from 28 to 34 weeks. For neonates, elective delivery was superior if gestational age was ≥30 weeks and if the rate of intrauterine death or maternal mortality risk were high. We recommend basing the decision for elective delivery vs expectant management in a pregnant individual with COVID-19–related acute respiratory distress syndrome on gestational age and likelihood of intrauterine or maternal death.
Keywords: acute respiratory distress syndrome, cesarean delivery, computer simulation, COVID-19, critical illness, decision analysis, neonatology, obstetrics, pregnancy, premature birth
AJOG MFM at a Glance.
Why was this study conducted?
We conducted a clinical decision analysis across a range of scenarios to determine whether elective delivery or expectant management leads to better outcomes for pregnant individuals with COVID-19–related acute respiratory distress syndrome (ARDS) and their unborn children.
Key findings
For pregnant individuals, elective delivery was not superior to expectant management across a range of scenarios, including gestational age ranging from 28 to 34 weeks. For neonates, elective delivery was associated with improved quality-adjusted life expectancy at ≥30 weeks’ gestation, or if intrauterine death or maternal mortality were more likely.
What does this add to what is known?
This study provides evidence to recommend expectant management for pregnant individuals with COVID-19–related ARDS at <30 weeks of gestation in high-resource settings, and emphasizes the importance of basing delivery decisions on gestational age, maternal ARDS severity, and the risk of intrauterine fetal death.
Introduction
Pregnant individuals face increased mortality and morbidity from pandemic respiratory viral infections, including SARS-CoV-2 infection (COVID-19).1, 2, 3, 4, 5, 6, 7, 8 Among COVID-19–infected pregnant individuals, the rate of acute respiratory distress syndrome (ARDS) requiring invasive ventilation is 279 per 100,000, and the mortality rate is 148 per 100,000, with an odds ratio for mortality of 2.85 relative to nonpregnant COVID-19–infected women of reproductive age.7 , 8
Elective cesarean delivery is a strategy intended to improve maternal and neonatal outcomes in pregnant individuals with ARDS.9, 10, 11, 12, 13, 14, 15, 16, 17, 18 However, current evidence shows that the maternal benefit of delivery is uncertain.19 , 20 After delivery, patients may improve because of changes in respiratory mechanics and reduced oxygen demand, or patients may deteriorate because of supine positioning, right ventricular overload from placental autotransfusion, or postpartum hemorrhage.21
From the neonatal perspective, the net effect of elective delivery in the context of maternal COVID-19–related ARDS is also unclear. Benefit could accrue because maternal ARDS is associated with a high rate of fetal death—37% in 1 cohort22—and complications such as hypoxemic-ischemic encephalopathy.23, 24, 25, 26 However, prematurity also confers increased risks of mortality and long-term complications including cerebral palsy.27, 28, 29, 30 These risks increase with younger gestational age at birth.30
We undertook a clinical decision analysis to clarify the trade-offs involved in the decision to perform elective cesarean delivery vs expectant management of a pregnant individual with COVID-19–related ARDS.
Materials and Methods
We performed a clinical decision analysis from the perspectives of pregnant individuals and neonates. Health outcomes included long-term functional impairment (for pregnant individuals), cerebral palsy (for neonates), or death (both). Model outputs included hospital or perinatal survival, life expectancy, and quality-adjusted life expectancy denominated in years (QALYs). For neonates, perinatal survival required surviving the antepartum, intrapartum, and neonatal stage up to hospital discharge. Additional model outputs included fetal loss (intrauterine or intrapartum death) and gestational age at birth. We used a lifetime horizon and discounted outcomes by 1.5% annually.31 We followed the Consolidated Health Economic Evaluation Reporting Standards guidelines.32
Model structure and patient population
We built a parallel, open-cohort individual-level simulation model to describe the daily dynamics of critical illness, delivery, and the subsequent course of both pregnant individuals and their neonates (Figure 1 ). A parallel open cohort was used to allow neonates to enter after their birth, potentially days or weeks after simulation outset. The base case for analysis was a pregnant individual at 32 weeks of gestation with a live single fetus, invasively ventilated in the intensive care unit (ICU) because of COVID-19–related ARDS. In the elective delivery strategy, pregnant individuals received immediate cesarean delivery. In the expectant management strategy, pregnancies continued until spontaneous labor or obstetrical decision to deliver.
Figure 1.
Model schematic
Figure shows a schematic representation of the model. Arrows represent possible transitions. Maternal states are blue, neonatal states are yellow, and states common to both are green. Note that neonates can be born alive or dead.
NICU, neonatal intensive care unit.
Ferrari Resende. Delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022.
The model cycled daily. In each cycle, pregnant individuals and neonates could live or die, and individuals still pregnant could deliver or continue pregnancy. If a pregnant individual died, their fetus may have still survived, approximating a perimortem or emergent delivery during terminal maternal deterioration. We also modeled location (ICU, ward, or discharged) and ventilation status (invasively ventilated or not) over time.
Each neonate was added to the population as either alive or dead (intrauterine death). All neonates born alive at <35 weeks of gestation were admitted to the neonatal ICU (NICU).33
The simulation ended for all individuals after a transition to the death state. Subsequent life expectancies for pregnant individuals and neonates who survived to hospital discharge were sampled from an age-at-death distribution. QALYs was calculated as the product of the subsequent life-years sampled for an individual and their long-term health utility. Further details are available in the Supplement.
Key assumptions
All patients were cared for in a tertiary hospital with access to obstetrics, adult ICU, and a NICU with capacity for neonates at <30 weeks of gestation. All pregnancies were singleton, with a live fetus, and uncomplicated before COVID-19 infection, and antenatal steroids for fetal lung maturation had been administered.34 Maternal and intrauterine death were only possible while the pregnant individual was critically ill, marked by invasive ventilation. There was no reinitiation of invasive ventilation or readmission to the ICU. Neonatal COVID-19 caused no specific morbidity or mortality.35
Data sources
We performed a targeted literature search for each parameter. In the absence of sufficient evidence, we integrated available information with expert opinion from the author group Table 1 .
Table 1.
Input parameters
| Category | Variable | Base-case value | Source |
|---|---|---|---|
| Demographic | Age | Empirical distribution (median, 30 y) | Money,36 2021 |
| Life expectancy | Gompertz distribution | Naimark 2021, Ontario lifetables37 | |
| Maternal | Ventilator liberation | Empirical (median, 28 d) | RECOVERY 2020 |
| Mortality | Empirical × 0.5 (median, 14.5%) | RECOVERY 2020; Rush et al,39 2017; Kalafat et al,40 2022 | |
| ICU discharge, daily | 0.35 (median LOS, 2 d) | Assumption | |
| Hospital discharge | 0.1 (median LOS, 7 d) | Assumption | |
| Long-term complication–probability | 0.2/0.1/0.05 based on risk | Herridge et al,42 2016 | |
| Long-term complication–utility | 0.66 | Cuthbertson et al,54 2010 | |
| Fetal/neonatal death– utility from maternal perspective | 0.95 | D'Souza,57 2019 | |
| Neonatal long-term complicatio–utility from maternal perspective | 0.9 | D'Souza,57 2019 | |
| RR of ARDS outcomes postdelivery | Lognormal: mean 1, SD 0.2 (in log space) | Lapinsky et al,19 2015 | |
| Obstetrical | Delivery | Empirical distribution by gestational age | Allotey et al,7 2020; Chawanpaiboon et al,44 2019; Ananth et al,45 2018 |
| Fatal delivery complication | 0.001 | Mehrabadi et al,46 2014 | |
| Intrauterine death | 0.05 over 28 d | CDC MMWR 2021 | |
| Neonate survives perimortem delivery | 0.75 | Einav et al,50 2012; Drukker et al,51 2014 | |
| Neonatal | NICU discharge | Empirical distribution by gestational age | Rios et al,29 2021 |
| NICU survival | 0.958/0.961/0.986 | GA 28/29/≥30 | Canadian Neonatal Network 2020 | |
| Long-term complications–probability | 0.0432/0.00675/0.00014 | GA 28–31/32–36/≥37 |
Oskoui et al,28 2013 | |
| Long-term complications–utility | 0.76 | Tonmukayakul et al,55 2019 | |
| HR long-term mortality for GA <34 | 1.44/1.23/1.12/1| GA <34/34–36/37–38/>38 |
Risnes et al,52 2021 |
“Assumption” denotes the use of expert opinion for a parameter.
ARDS, acute respiratory distress syndrome; CDC, Centers for Disease Control and Prevention; GA, gestational age; HR, hazard ratio; ICU, intensive care unit; LOS, length of stay; MMWR, Morbidity and Mortality Weekly Report; NICU, neonatal intensive care unit; RR, relative risk.
Ferrari Resende. Delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022.
Probabilities
Demographics
The age distribution of pregnant individuals was drawn from a registry of COVID-19 positive pregnant individuals.36 Life expectancies for surviving pregnant individuals and neonates were drawn from a Gompertz distribution, the coefficients of which were based on lifetables from Ontario, Canada.37
Maternal COVID-19–related acute respiratory distress syndrome
The daily probabilities of ventilator liberation and mortality were based on the Kaplan–Meier curves of the RECOVERY dexamethasone study.38 ARDS mortality was multiplied by a factor of 0.5 on the basis of an American administrative data study of pre–COVID-19 ARDS in pregnant individuals and observed mortality rates of pregnant individuals with COVID-19–related ARDS.7 , 39 , 40 After 28 days of ventilation individuals received a tracheostomy41 and were weaned from the ventilator with a probability of 0.1 each day, corresponding to a median of 7 additional ventilated days. The daily probability of ICU discharge after ventilator liberation was 0.35, corresponding to a median of 2 additional days for length of stay. Maternal long-term complication probabilities were based on a study of outcomes after ARDS.42
The effect of delivery on maternal ventilator liberation and mortality varied by patient according to a lognormal distribution with mean relative risk (RR) of 1 and standard deviation of 0.2 on the log scale.19 This corresponded to a 95% probability that the RR for any individual fell between 0.68 and 1.45.43
Obstetrical
The daily probability of delivery was tabulated on the basis of the probability of preterm birth in COVID-19–positive pregnant individuals,7 the gestational age distribution across preterm births,44 and the gestational age distribution across term births.45 The procedure-related mortality rate for cesarean delivery in individuals with ARDS is unknown because the scenario is rare, thus we used the probability (0.001) of severe postpartum hemorrhage requiring embolization or hemostatic compression suturing after cesarean delivery.46 We reasoned that such a severe complication would be potentially fatal for an individual with ARDS. The probability of intrauterine death was based on data from the Centers for Disease Control and Prevention where 20 of 399 (5%) mechanically ventilated pregnant patients with COVID-19 experienced an intrauterine death.47
Neonatal
The rate of neonatal discharge from NICU according to gestational age at birth was based on the median NICU length of stay in a Canadian study.29 The probability of cerebral palsy was based on a meta-analysis.28 Probability of COVID-19 vertical transmission was 0.13.48 The pregnant individual was infectious for 14 days.49 The probability of an unborn fetus surviving maternal death was estimated at 0.75. This was based on a review of 80 cases of perimortem cesarean delivery with a survival rate of 86% among cardiac arrests that occurred in-hospital,50 and a review of observational studies51 with survival ranging from 0% to 89%. The hazard ratio of long-term mortality for neonates born preterm varied by gestational age at birth according to a multinational cohort study of 6.2 million people.52
Utilities
Health state utilities between 0 (death) and 1 (perfect health) were used to weight life-years by quality.53 Survivors without long-term complications had a utility of 1. Pregnant individuals with long-term complications owing to ARDS were assigned a utility of 0.66 according to Cuthbertson et al.54 Neonates with long-term complications were assigned the utility of moderate cerebral palsy, 0.76.55
For perinatal clinical decision models, it is recommended to incorporate joint maternal and fetal outcomes into maternal utilities.56 We did so using utilities from a study focused on mothers taking anticoagulation for mechanical heart valves during pregnancy.57 Maternal utility was multiplied by 0.95 if the neonate died and by 0.90 if the neonate had long-term complications.
Analysis
Sensitivity to specific parameters was assessed by varying parameter values through plausible ranges. We considered scenarios where:
-
1.
Delivery conferred maternal benefit (RR, 0.7) or harm (RR, 1.4).
-
2.
Gestational age was 28, 30, or 34 weeks.
-
3.
The probability of intrauterine death was lower (0.01) or higher (0.1).
-
4.
Maternal utilities of neonatal death or complication were lower (0.5).
-
5.
The survival rate for unborn fetuses in case of maternal death was lower (0.5).
-
6.
The NICU mortality rate was doubled.
-
7.
The long-term mortality risk for neonates born at <34 weeks of gestation was doubled.
The model was built in TreeAge Software, Williamstown, MA R v4.0.358 and plots were generated in R (R Foundation for Statistical Computing, Vienna, Austria).59 We used 1000 iterations of 1000 pregnant individuals and reported the mean and 95% credible intervals (CIs) for all outcomes. The model is available at https://doi.org/10.5281/zenodo.6435090.
Results
For the pregnant individual, model outputs were estimated to be similar when comparing elective delivery at 32 weeks’ gestation with expectant management (Table 2 ), including hospital survival (87.1% vs 87.4%), life-years (31.5 vs 31.6), and QALYs (29.7 vs 29.8) (Figure 2 ). For the neonate, elective delivery at 32 weeks’ gestation compared with expectant management resulted in higher perinatal survival (98.4% vs 93.2%; difference, 5.2%; 95% CI, 3.5–7.0), similar expected life-years (44.6 vs 43.2), and similar probability of long-term complications (0.7% vs 0.2%; difference, 0.4%; 95% CI, −0.2 to 1.0). Expectant management was expected to result in a mean gestational age at birth of 38 weeks (37.9–38.3 weeks).
Table 2.
Base case (32 weeks’ gestation) results
| Maternal outcome | Mean (95% credible interval) |
||
|---|---|---|---|
| Elective delivery | Expectant management | Difference | |
| Ventilation duration | 22.7 (21.7–23.7) | 22.8 (21.8–23.7) | −0.1 (−1.4 to 1.3) |
| Long-term complications | 0.136 (0.116–0.157) | 0.138 (0.116–0.158) | −0.002 (−0.031 to 0.028) |
| Hospital survival | 0.871 (0.849–0.891) | 0.874 (0.852–0.894) | −0.004 (−0.035 to 0.027) |
| Hospital length of stay | 48.5 (46.4–50.6) | 48.7 (46.5–50.9) | −0.15 (−3.15 to 2.79) |
| Life-years | 31.5 (30.6–32.3) | 31.6 (30.7–32.4) | −0.1 (−1.4 to 1.1) |
| QALYs | 29.7 (28.9–30.6) | 29.8 (28.9–30.7) | −0.1 (−1.3 to 1.1) |
| Joint outcome | |||
| Gestational age at delivery/birth | 32 (32–32) | 38 (37.9–38.3) | −6 (−6.3 to −5.9) |
| Maternal survival, neonatal death | 0.014 (0.007–0.022) | 0.035 (0.025–0.046) | −0.022 (−0.035 to −0.008) |
| Both survive | 0.857 (0.834–0.878) | 0.839 (0.816–0.861) | 0.018 (−0.015 to 0.049) |
| Neonatal outcome | |||
| Proportion admitted to NICU | 0.998 (0.995–1) | 0.163 (0.14–0.187) | 0.835 (0.811–0.859) |
| NICU length of stay | 26 (25–28) | 3.6 (2.9–4.4) | 23 (21–25) |
| Neonatal COVID-19 | 0.13 (0.11–0.152) | 0.019 (0.011–0.028) | 0.111 (0.09–0.134) |
| Long-term complications | 0.007 (0.002–0.012) | 0.002 (0–0.006) | 0.004 (−0.002 to 0.01) |
| Perinatal survival | 0.984 (0.976–0.992) | 0.932 (0.916–0.947) | 0.052 (0.035–0.07) |
| Life-years | 44.6 (44.1–45) | 43.2 (42.4–44) | 1.3 (0.4–2.2) |
| QALYs | 44.5 (44–45) | 43.2 (42.4–44) | 1.3 (0.4–2.2) |
Data are presented as mean and 95% credible interval of the mean.
NICU, neonatal intensive care unit; QALYs, quality-adjusted life years.
Ferrari Resende. Delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022.
Figure 2.
Probability distribution of difference in QALYs by benefit of delivery and gestational age at birth
Figure shows the distribution of mean difference in QALYs for both pregnant individuals and neonates by scenario. The left column shows scenarios with important variation in maternal QALYs. The right column shows scenarios that are largely equivalent with respect to maternal QALYs, with important variation in neonatal QALYs. The height of each shape depicts the probability density for that value of the mean difference. Shading is based on the mean difference over all iterations. Blue shading indicates scenarios where elective delivery is favored, red shading indicates scenarios where expectant management is favored, and white denotes equivalence.
The asterisk denotes in order from top to bottom, left to right, base-case parameters: delivery impact on outcomes mean RR, 1; maternal utilities of 0.9 (neonatal long-term complication) and 0.95 (neonatal death); gestational age, 32 week; 0.1% cesarean delivery mortality; 13% ARDS mortality; 75% perimortem delivery survival; 5% intrauterine death rate; and RR of 1 for both NICU mortality and long-term mortality risk in ex-preterm individuals.
ARDS, acute respiratory distress syndrome; GA, gestational age; NICU, neonatal intensive care unit; QALY, quality-adjusted life-year; RR, relative risk.
Ferrari Resende. Delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022.
Model outputs for joint outcomes differed between the 2 strategies. When maternal and neonatal outcomes were considered together, there was no difference in the probability that both mother and infant would survive. However, the probability of maternal survival with neonatal death was lower with elective delivery at 32 weeks’ gestation compared with expectant management (1.4% vs 3.5%; difference, −2.2%; 95% CI, −3.5 to −0.8). The percentage of pairs where both the pregnant individual and their neonate died was lower with the elective delivery strategy (0.2% vs 3.3%). The estimated percentages of pairs with joint survival were similar (86% vs 84%). With the expectant management strategy, 72% (95% CI, 69–75) of pregnant individuals were estimated to survive hospitalization and deliver at term.
Scenario analyses
Different scenarios were explored to test the robustness of the model conclusions to its input parameters (Table 3 ). For pregnant individuals, when the effect of delivery on mortality and ventilator liberation was varied from moderate benefit (RR, 0.7) to moderate harm (RR, 1.4), the estimated difference in mean QALYs between elective delivery and expectant management varied from benefit (1.4; 95% CI, 0.3–2.4) to harm (−1.8; 95% CI, −3 to −0.6) (Figure 2). At 28 weeks of gestation, increased neonatal mortality and long-term complications created a larger gap in maternal QALYs between elective delivery and expectant management, although the CI included equivalence (−0.4 QALYs; 95% CI, −1.6 to 0.6). When maternal utilities of neonatal outcomes were lower, elective delivery was superior, but the CI included equivalence (0.2; 95% CI, −1 to 1.4).
Table 3.
Absolute differences between strategies across scenarios and outcomes
| Maternal outcome | Postdelivery relative risk of ARDS outcomes |
Gestational age (wk) |
|||
|---|---|---|---|---|---|
| 0.7 | 1.4 | 28 | 30 | 34 | |
| Long-term complications | −0.007 (−0.036 to 0.022) | −0.001 (−0.033 to 0.03) | −0.003 (−0.032 to 0.026) | −0.002 (−0.032 to 0.028) | −0.001 (−0.03 to 0.028) |
| Hospital survival | 0.035 (0.007–0.062) | −0.052 (−0.083 to −0.022) | −0.009 (−0.039 to 0.019) | −0.003 (−0.033 to 0.025) | −0.003 (−0.031 to 0.025) |
| Life years | 1.3 (0.2–2.3) | −1.9 (−3.1 to −0.7) | −0.3 (−1.6 to 0.8) | −0.1 (−1.3 to 1.1) | −0.1 (−1.3 to 1) |
| QALYs | 1.4 (0.3–2.4) | −1.8 (−3 to −0.6) | −0.4 (−1.6 to 0.6) | −0.2 (−1.3 to 1) | −0.1 (−1.3 to 1) |
| Joint outcome | |||||
| Maternal survival, neonatal death | −0.021 (−0.034 to −0.007) | −0.022 (−0.035 to −0.01) | 0 (−0.018 to 0.016) | −0.024 (−0.036 to −0.011) | −0.019 (−0.032 to −0.006) |
| Both survive | 0.056 (0.025–0.087) | −0.029 (−0.062 to 0.003) | −0.009 (−0.043 to 0.025) | 0.02 (−0.01 to 0.053) | 0.015 (−0.016 to 0.047) |
| Neonatal outcome | |||||
| Long-term complications | 0.004 (−0.002 to 0.01) | 0.004 (−0.002 to 0.01) | 0.035 (0.023–0.049) | 0.037 (0.024–0.051) | 0.005 (−0.001 to 0.01) |
| Perinatal survival | 0.052 (0.034–0.069) | 0.052 (0.036–0.069) | 0.024 (0.003–0.045) | 0.055 (0.037–0.074) | 0.048 (0.032–0.066) |
| Life years | 1.3 (0.4–2.2) | 1.3 (0.4–2.3) | 0 (−1.1 to 1.1) | 1.5 (0.5–2.5) | 1.7 (0.8–2.6) |
| QALYs | 1.3 (0.4–2.2) | 1.3 (0.4–2.2) | −0.3 (−1.5 to 0.8) | 1.1 (0.1–2.1) | 1.6 (0.7–2.6) |
Data are presented as the difference in QALYs between elective delivery and expectant management strategies (elective delivery–expectant management). On the left, outcome differences are shown for 2 potential impacts of delivery on maternal outcomes—benefit (relative risk, 0.7) or harm (relative risk, 1.4). On the right, outcome differences are shown for 3 additional gestational ages (results for 32 weeks available in Table 2). Blue shading denotes estimated benefit with elective delivery; red shading denotes estimated benefit with expectant management; white shading denotes estimated differences with 95% credible intervals overlapping equivalence.
ARDS, acute respiratory distress syndrome; QALYs, quality-adjusted life years.
Ferrari Resende. Delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022.
Model outputs for neonates improved at higher gestational ages in both strategies. Comparing elective delivery with expectant management, the difference in neonatal QALYs ranged from possible harm (−0.3; 95% CI, −1.5 to 0.8) at 28 weeks of gestation to benefit (1.6; 95% CI, 0.7–2.6) at 34 weeks. At 30 weeks of gestation, elective delivery was estimated to lead to benefit in terms of QALYs (1.1; 95% CI, 0.1–2.1) but harm in terms of an increased proportion with long-term complications (4.3% vs 0.5%; difference, 3.7%; 95% CI, 2.4–5.1).
Across other scenarios, elective delivery compared with expectant management was associated with increased neonatal QALYs except in the scenario with a higher risk of long-term mortality for neonates born at <34 weeks of gestation (−0.2; 95% CI, −1.1 to 0.7). The estimated benefit in neonatal QALYs associated with elective delivery was largest for the scenarios incorporating higher rates of intrauterine death, neonatal perimortem delivery mortality, or maternal mortality from ARDS (Figure 2).
Comment
Principal findings
For a pregnant individual at 32 weeks of gestation with ARDS from COVID-19, our clinical decision analysis estimated that elective delivery compared with expectant management yielded a similar number of maternal quality-adjusted life years and an increased number of neonatal quality-adjusted life years. Expectant management resulted in a higher rate of perinatal mortality, but elective delivery caused universal prematurity with a shorter estimated life expectancy. Elective delivery between 28 and 34 weeks of gestation resulted in outcomes comparable to those of expectant management for the pregnant individual. However, elective delivery also resulted in improved neonatal outcomes at ≥30 weeks of gestation, and in cases where the risk of maternal or intrauterine death was high.
Results in the context of what is known
These findings support existing guidelines and expert opinion for pregnant individuals with COVID-19–related ARDS recommending expectant management at earlier preterm gestational ages and elective delivery at later preterm gestational ages.18 , 21 , 60 , 61 This model adds to insights gleaned from a previous decision analysis of steroid administration for pregnant individuals with COVID-19 infection.62 Unlike randomized trials and decision analyses studying the timing of elective delivery for pregnant individuals with other medical conditions such as previous uterine rupture,63 hypertensive disorders of pregnancy,64 or placenta previa,65 we did not identify a clear gestational age at which elective delivery becomes a superior strategy to expectant management from the maternal perspective. This is likely because the maternal benefit of elective delivery is uncertain for pregnant individuals with ARDS, whereas it is more established in the conditions mentioned above. By contrast, we did identify a threshold gestational age (30 weeks) at which the estimated neonatal QALYs was higher with elective delivery than with expectant management.
Clinical and research implications
Our findings highlight 4 main points about care for pregnant individuals with COVID-19–related ARDS. First, high-quality management of ARDS from COVID-19 for pregnant individuals is essential. Maternal mortality limits outcomes for both pregnant individuals and neonates because elective delivery exchanges the risks of ARDS for the risks of prematurity. Severe COVID-19 pneumonia care for pregnant individuals should include glucocorticoids and interleukin-6 blockade.21 , 60 ARDS care should include lung-protective ventilation, positive end-expiratory pressure optimization, prone positioning, muscle paralysis, and consideration of extracorporeal life support.66, 67, 68, 69 Minimizing maternal organ dysfunction from ARDS may also reduce the rate of intrauterine death, another influential factor with respect to neonatal model outputs. Further research should focus on improving ARDS care for pregnant individuals.
Second, the maternal utilities of life after neonatal death or complication are relevant, but were less influential in this study. The influence of maternal utilities for neonatal outcomes was best observed in the 28 weeks’ gestation scenario, which estimated lower maternal QALYs with the elective delivery strategy because of increased neonatal morbidity and mortality. The utilities used in this study were derived from a survey of pairs of pregnant individuals and their partners.57 Other work that surveyed only pregnant individuals recorded substantially lower utilities for maternal life after fetal loss,70 and work that surveyed parents of children aged <18 years found lower parental utilities for children with disabilities.71 However, even lowering the maternal utilities of neonatal outcomes by almost 50% did not induce a substantial change in maternal QALYs because at gestational ages of >30 weeks poor neonatal outcomes were rare.
Third, high-quality management of preterm neonates is important because if the risks associated with prematurity can be attenuated, then elective delivery provides a less harmful alternative to expectant management. Recommendations to improve health outcomes for preterm neonates include delivery in a tertiary perinatal center,57 use of maternal antenatal steroids for lung maturation and magnesium sulfate for neuroprotection, use of oxygen, continuous positive airway pressure and surfactant administration for neonates with respiratory distress syndrome, and adequate nutritional support including use of human donor milk in the absence of maternal breast milk.58 , 59 There is more uncertainty on how to attenuate the long-term increased risk of mortality for individuals born preterm, which is an important area for future research.
Last, the best scenario for a pregnant individual is to avoid COVID-19–related ARDS. Vaccination reduces the severity of COVID-19 pneumonia and is recommended for all pregnant individuals to protect them from both infection and severe outcomes.72 , 73
Strengths and limitations
The findings have several limitations. The model applied to individuals who have received antenatal steroids. The benefits of expectant management would likely be greater for those who had not yet taken antenatal steroids.34 The model did not include deteriorating nonintubated pregnant individuals, although that situation is comparable because the maternal benefit of elective delivery remains uncertain. The model considered individuals without comorbidities, although an increased burden of comorbidities could translate to a higher mortality for pregnant individuals, and in that scenario analysis, elective delivery had a relatively greater benefit for neonates. The model did not incorporate pregnancy-related complications such as preeclampsia, known to have an association with COVID-19 infection.7 , 74 Although we did not include 3 important consequences of preterm birth (blindness, deafness, and severe neurodevelopmental delay), these are extremely rare at gestational ages of ≥28 weeks and do not affect the validity of the model. Extracorporeal life support was not modeled; however, it has been associated with a 35% intrauterine death rate, thus our findings suggest that the optimal neonatal strategy in that scenario would shift toward elective delivery at lower gestational ages.75 , 76 Variation in the incidence of severe disease has been documented across different waves and variants of the pandemic,77 but in our model we incorporated any available data because ARDS in pregnant individuals is rare.
The results are limited by uncertainty in key parameters, including the effect of delivery on maternal outcomes, the probability of fetal survival after maternal death, the risk of intrauterine death in the setting of maternal COVID-19–related ARDS, and the impact of neonatal COVID-19 infection. There was no utility penalty for separating mother and neonate at birth, which advantaged the elective delivery strategy. Our results assume a high-resource setting and may not generalize to lower-resource settings with higher maternal and perinatal mortality.78 The model itself gives the average or expected outcomes with each strategy, but it does not replace clinical judgment nor obviate the need to account for the nuances of an individual patient.
Despite limitations, our model has several strengths. It addresses a high-stakes clinical question that has been distressingly common worldwide.7 We were able to demonstrate the maternal and neonatal trade-offs involved in the decision for elective delivery or expectant management. Lastly, we provide scientific support for prevailing obstetrical critical care recommendations regarding delivery in pregnant individuals with COVID-19–related ARDS.
Conclusion
For pregnant individuals with COVID-19–related ARDS, elective delivery was comparable but not superior to expectant management for gestational ages from 28 to 34 weeks. For neonates, elective delivery was superior if gestational age was ≥30 weeks, if the rate of intrauterine death was high, or if maternal mortality risk was high. We recommend basing the decision for elective delivery vs expectant management in a pregnant individual with COVID-19–related ARDS on gestational age and likelihood of intrauterine or maternal death. We also recommend continued research into obstetrical critical illness, including COVID-19–related ARDS, to inform key parameters and help clinicians and families to make better decisions.
Acknowledgments
We thank Beate Sander, PhD, for helpful comments.
Footnotes
M.H.F.R. and C.J.Y. contributed equally to this work.
The authors declare no conflict of interest.
C.J.Y. reports funding from the Canadian Institutes for Health Research Vanier Scholar program, the Eliot Phillipson Clinician-Scientist Training Program, and the Clinician Investigator Program of the University of Toronto. No endorsement by any of the funding agencies is intended or should be inferred.
Cite this article as: Ferrari Resende MH, Yarnell CJ, D'Souza R, et al. Clinical decision analysis of elective delivery vs expectant management for pregnant individuals with COVID-19–related acute respiratory distress syndrome. Am J Obstet Gynecol MFM 2022;XX:x.ex–x.ex.
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.ajogmf.2022.100697.
Appendix. Supplementary materials
References
- 1.Callaghan WM, Creanga AA, Jamieson DJ. Pregnancy-related mortality resulting from influenza in the United States during the 2009-2010 pandemic. Obstet Gynecol. 2015;126:486–490. doi: 10.1097/AOG.0000000000000996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Martini M, Gazzaniga V, Bragazzi NL, Barberis I. The Spanish influenza Pandemic: a lesson from history 100 years after 1918. J Prev Med Hyg. 2019;60:E64–E67. doi: 10.15167/2421-4248/jpmh2019.60.1.1205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Jamieson DJ, Honein MA, Rasmussen SA, et al. H1N1 2009 influenza virus infection during pregnancy in the USA. Lancet. 2009;374:451–458. doi: 10.1016/S0140-6736(09)61304-0. [DOI] [PubMed] [Google Scholar]
- 4.Wong SF, Chow KM, Leung TN, et al. Pregnancy and perinatal outcomes of women with severe acute respiratory syndrome. Am J Obstet Gynecol. 2004;191:292–297. doi: 10.1016/j.ajog.2003.11.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Di Mascio D, Khalil A, Saccone G, et al. Outcome of coronavirus spectrum infections (SARS, MERS, COVID-19) during pregnancy: a systematic review and meta-analysis. Am J Obstet Gynecol MFM. 2020;2 doi: 10.1016/j.ajogmf.2020.100107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Guo Q, Zhao D, Dong F, et al. Delivery of fetus death with misoprostol in a pregnant woman with H7N9 avian influenza A virus pneumonia and ARDS. Crit Care. 2014;18:589. doi: 10.1186/s13054-014-0589-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Allotey J, Stallings E, Bonet M, et al. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis. BMJ. 2020;370:m3320. doi: 10.1136/bmj.m3320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Takemoto MLS, Menezes MO, Andreucci CB, et al. The tragedy of COVID-19 in Brazil: 124 maternal deaths and counting. Int J Gynaecol Obstet. 2020;151:154–156. doi: 10.1002/ijgo.13300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pineles BL, Stephens A, Narendran LM, et al. The relationship between delivery and the PaO 2 /FiO 2 ratio in COVID-19: a cohort study. BJOG. 2022;129(3):493–499. doi: 10.1111/1471-0528.16858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hung C, Hu H, Chang C, Huang C, Kao K. Outcomes of early delivery in pregnant patients with acute respiratory distress syndrome. Crit Care. 2012;16(Suppl 1):112. [Google Scholar]
- 11.Jenkins TM, Troiano NH, Graves CR, Baird SM, Boehm FH. Mechanical ventilation in an obstetric population: characteristics and delivery rates. Am J Obstet Gynecol. 2003;188:549–552. doi: 10.1067/mob.2003.68. [DOI] [PubMed] [Google Scholar]
- 12.Tomlinson MW, Caruthers TJ, Whitty JE, Gonik B. Does delivery improve maternal condition in the respiratory-compromised gravida? Obstet Gynecol. 1998;91:108–111. doi: 10.1016/s0029-7844(97)00585-1. [DOI] [PubMed] [Google Scholar]
- 13.Oram MP, Seal P, McKinstry CE. Severe acute respiratory distress syndrome in pregnancy. Caesarean section in the second trimester to improve maternal ventilation. Anaesth Intensive Care. 2007;35:975–978. doi: 10.1177/0310057X0703500621. [DOI] [PubMed] [Google Scholar]
- 14.Hirani A, Marik PE, Plante LA. Airway pressure-release ventilation in pregnant patients with acute respiratory distress syndrome: a novel strategy. Respir Care. 2009;54:1405–1408. [PubMed] [Google Scholar]
- 15.Ito A, Hayata E, Nakata M, et al. Rapid recovery achieved by intensive therapy after preterm cesarean section for worsening COVID-19-induced acute respiratory failure: a case report and literature review. Case Rep Womens Health. 2021;30:e00315. doi: 10.1016/j.crwh.2021.e00315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Palmrich P, Roessler B, Wisgrill L, et al. Multiprofessional perinatal care in a pregnant patient with acute respiratory distress syndrome due to COVID-19. BMC Pregnancy Childbirth. 2021;21:587. doi: 10.1186/s12884-021-04059-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Easter SR, Gupta S, Brenner SK, Leaf DE. Outcomes of critically ill pregnant women with COVID-19 in the United States. Am J Respir Crit Care Med. 2021;203:122–125. doi: 10.1164/rccm.202006-2182LE. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Rose CH, Wyatt MA, Narang K, Lorenz KE, Szymanski LM, Vaught AJ. Timing of delivery with coronavirus disease 2019 pneumonia requiring intensive care unit admission. Am J Obstet Gynecol Mfm. 2021;3 doi: 10.1016/j.ajogmf.2021.100373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lapinsky SE, Rojas-Suarez JA, Crozier TM, et al. Mechanical ventilation in critically ill pregnant women: a case series. Int J Obstet Anesth. 2015;24:323–328. doi: 10.1016/j.ijoa.2015.06.009. [DOI] [PubMed] [Google Scholar]
- 20.Cole DE, Taylor TL, McCullough DM, Shoff CT, Derdak S. Acute respiratory distress syndrome in pregnancy. Crit Care Med. 2005;33:S269–S278. doi: 10.1097/01.ccm.0000182478.14181.da. [DOI] [PubMed] [Google Scholar]
- 21.Lapinsky SE, Adhikari NK. COVID-19, variants of concern and pregnancy outcome. Obstet Med. 2021;14:65–66. doi: 10.1177/1753495X211028499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Muthu V, Agarwal R, Dhooria S, et al. Epidemiology, lung mechanics and outcomes of ARDS: a comparison between pregnant and non-pregnant subjects. J Crit Care. 2019;50:207–212. doi: 10.1016/j.jcrc.2018.12.006. [DOI] [PubMed] [Google Scholar]
- 23.Engert V, Siauw C, Stock A, et al. Severe brain damage in a moderate preterm infant as complication of post-COVID-19 response during pregnancy. Neonatology. 2021;118:505–508. doi: 10.1159/000516846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Brum AC, Glasman MP, De Luca MC, et al. Ischemic lesions in the brain of a neonate with SARS-CoV-2 infection. Pediatr Infect Dis J. 2021;40:e340–e343. doi: 10.1097/INF.0000000000003244. [DOI] [PubMed] [Google Scholar]
- 25.McCarty KL, Tucker M, Lee G, Pandey V. Fetal inflammatory response syndrome associated with maternal SARS-CoV-2 infection. Pediatrics. 2021;147 doi: 10.1542/peds.2020-010132. [DOI] [PubMed] [Google Scholar]
- 26.Juan J, Gil MM, Rong Z, Zhang Y, Yang H, Poon LC. Effect of coronavirus disease 2019 (COVID-19) on maternal, perinatal and neonatal outcome: systematic review. Ultrasound Obstet Gynecol. 2020;56:15–27. doi: 10.1002/uog.22088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Crump C, Sundquist K, Sundquist J, Winkleby MA. Gestational age at birth and mortality in young adulthood. JAMA. 2011;306:1233–1240. doi: 10.1001/jama.2011.1331. [DOI] [PubMed] [Google Scholar]
- 28.Oskoui M, Coutinho F, Dykeman J, Jetté N, Pringsheim T. An update on the prevalence of cerebral palsy: a systematic review and meta-analysis. Dev Med Child Neurol. 2013;55:509–519. doi: 10.1111/dmcn.12080. [DOI] [PubMed] [Google Scholar]
- 29.Rios JD, Shah PS, Beltempo M, et al. Costs of neonatal intensive care for Canadian infants with preterm birth. J Pediatr. 2021;229:161–167. doi: 10.1016/j.jpeds.2020.09.045. e12. [DOI] [PubMed] [Google Scholar]
- 30.The Canadian Neonatal Network Annual Report. CNN – Home. 2020. Available at:http://www.canadianneonatalnetwork.org/portal/. Accessed November 29, 2021.
- 31.Canada's Drug and Health Technology Agency. Guidelines for the economic evaluation of health technologies: Canada –4th Edition. 2017. Available at:https://www.cadth.ca/guidelines-economic-evaluation-health-technologies-canada-4th-edition. Accessed November 11, 2021.
- 32.Husereau D, Drummond M, Petrou S, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. BMJ. 2013;346:f1049. doi: 10.1136/bmj.f1049. [DOI] [PubMed] [Google Scholar]
- 33.Stewart DL, Barfield WD, COMMITTEE ON FETUS AND NEWBORN. Updates on an at-risk population: late-preterm and early-term infants. Pediatrics. 2019;144 doi: 10.1542/peds.2019-2760. [DOI] [PubMed] [Google Scholar]
- 34.American College of Obstetricians and Gynecologists. Antenatal corticosteroid therapy for fetal maturation. 2020. Available at:https://www.acog.org/en/clinical/clinical-guidance/committee-opinion/articles/2017/08/antenatal-corticosteroid-therapy-for-fetal-maturation. Accessed December 12, 2021.
- 35.Gurol-Urganci I, Jardine JE, Carroll F, et al. Maternal and perinatal outcomes of pregnant women with SARS-CoV-2 infection at the time of birth in England: national cohort study. Am J Obstet Gynecol. 2021;225 doi: 10.1016/j.ajog.2021.05.016. 522.e1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Money D. Canadian surveillance of COVID-19 in pregnancy: epidemiology, maternal and infant outcomes. 2021. Available at:https://ridprogram.med.ubc.ca/cancovid-preg/. Accessed November 29, 2021.
- 37.Government of Canada. Life Tables, Canada, Provinces and Territories. 2020. Available at: https://www150.statcan.gc.ca/n1/en/catalogue/84-537-X. Accessed January 9, 2022.
- 38.RECOVERY Collaborative Group. Horby P, Lim WS, et al. Dexamethasone in hospitalized patients with Covid-19. N Engl J Med. 2021;384:693–704. doi: 10.1056/NEJMoa2021436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rush B, Martinka P, Kilb B, McDermid RC, Boyd JH, Celi LA. Acute respiratory distress syndrome in pregnant women. Obstet Gynecol. 2017;129:530–535. doi: 10.1097/AOG.0000000000001907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kalafat E, Prasad S, Birol P, et al. An internally validated prediction model for critical COVID-19 infection and intensive care unit admission in symptomatic pregnant women. Am J Obstet Gynecol. 2022;226 doi: 10.1016/j.ajog.2021.09.024. 403.e1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Williams T, McGrath BA. Tracheostomy for COVID-19: evolving best practice. Crit Care. 2021;25:316. doi: 10.1186/s13054-021-03674-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Herridge MS, Chu LM, Matte A, et al. The RECOVER program: disability risk groups and 1-year outcome after 7 or more days of mechanical ventilation. Am J Respir Crit Care Med. 2016;194:831–844. doi: 10.1164/rccm.201512-2343OC. [DOI] [PubMed] [Google Scholar]
- 43.Koralov LB, Sinai YG. Springer; Berlin: 2007. Theory of probability and random processes. 349 p. [Google Scholar]
- 44.Chawanpaiboon S, Vogel JP, Moller AB, et al. Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis. Lancet Glob Health. 2019;7:e37–e46. doi: 10.1016/S2214-109X(18)30451-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ananth CV, Goldenberg RL, Friedman AM, Vintzileos AM. Association of temporal changes in gestational age with perinatal mortality in the United States, 2007-2015. JAMA Pediatr. 2018;172:627–634. doi: 10.1001/jamapediatrics.2018.0249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Mehrabadi A, Liu S, Bartholomew S, et al. Temporal trends in postpartum hemorrhage and severe postpartum hemorrhage in Canada from 2003 to 2010. J Obstet Gynaecol Can. 2014;36:21–33. doi: 10.1016/S1701-2163(15)30680-0. [DOI] [PubMed] [Google Scholar]
- 47.DeSisto CL, Wallace B, Simeone RM, et al. Risk for stillbirth among women with and without COVID-19 at delivery hospitalization - United States, March 2020-September 2021. MMWR Morb Mortal Wkly Rep. 2021;70:1640–1645. doi: 10.15585/mmwr.mm7047e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Villar J, Ariff S, Gunier RB, et al. Maternal and neonatal morbidity and mortality among pregnant women with and without COVID-19 infection: the INTERCOVID multinational cohort study. JAMA Pediatr. 2021;175:817–826. doi: 10.1001/jamapediatrics.2021.1050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.van Kampen JJA, van de Vijver DAMC, Fraaij PLA, et al. Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19) Nat Commun. 2021;12:267. doi: 10.1038/s41467-020-20568-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Einav S, Kaufman N, Sela HY. Maternal cardiac arrest and perimortem caesarean delivery: evidence or expert-based? Resuscitation. 2012;83:1191–1200. doi: 10.1016/j.resuscitation.2012.05.005. [DOI] [PubMed] [Google Scholar]
- 51.Drukker L, Hants Y, Sharon E, Sela HY, Grisaru-Granovsky S. Perimortem cesarean section for maternal and fetal salvage: concise review and protocol. Acta Obstet Gynecol Scand. 2014;93:965–972. doi: 10.1111/aogs.12464. [DOI] [PubMed] [Google Scholar]
- 52.Risnes K, Bilsteen JF, Brown P, et al. Mortality among young adults born preterm and early term in 4 Nordic nations. JAMA Netw Open. 2021;4 doi: 10.1001/jamanetworkopen.2020.32779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Torrance GW. Measurement of health state utilities for economic appraisal. J Health Econ. 1986;5:1–30. doi: 10.1016/0167-6296(86)90020-2. [DOI] [PubMed] [Google Scholar]
- 54.Cuthbertson BH, Roughton S, Jenkinson D, Maclennan G, Vale L. Quality of life in the five years after intensive care: a cohort study. Crit Care. 2010;14:R6. doi: 10.1186/cc8848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Tonmukayakul U, Le LK-D, Mudiyanselage SB, et al. A systematic review of utility values in children with cerebral palsy. Qual Life Res. 2019;28:1–12. doi: 10.1007/s11136-018-1955-8. [DOI] [PubMed] [Google Scholar]
- 56.D'Souza R, Shah PS, Sander B. Clinical decision analysis in perinatology. Acta Obstet Gynecol Scand. 2018;97:491–499. doi: 10.1111/aogs.13264. [DOI] [PubMed] [Google Scholar]
- 57.D'Souza R. Preferences of pregnant women and family members for maternal-fetal health states related to anticoagulant use in pregnancy; 2019. Exploring methodologic challenges in the conduct of patient preference studies in obstetrics [internet] Cited Dec 4 2021. Available at:https://tspace.library.utoronto.ca/bitstream/1807/96719/1/D%27Souza_Rohan_D_201906_PhD_thesis.pdf.
- 58.Pro TA. Williamstown, MA: TreeAge Software; 2021 [internet]. Available at: http://www.treeage.com.
- 59.R Core Team. R: a language and environment for statistical computing. 2020. Available at: https://www.r-project.org.
- 60.Munshi L, Wright J, Zipursky J, et al. The incidence, severity, and management of COVID-19 in critically ill pregnant individuals [internet]; 2021. (Science Briefs of the Ontario COVID-19 Science Advisory Table.). https://doi.org/10.47326/ocsat.2021.02.43.1.0
- 61.Society for Maternal-Fetal Medicine. Management considerations for pregnant patients with COVID-19. 2021. Available at:https://www.smfm.org/covidclinical. Accessed December 8, 2021.
- 62.Packer CH, Zhou CG, Hersh AR, Allen AJ, Hermesch AC, Caughey AB. Antenatal corticosteroids for pregnant women at high risk of preterm delivery with COVID-19 infection: a decision analysis. Am J Perinatol. 2020;37:1015–1021. doi: 10.1055/s-0040-1713145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Frank ZC, Lee VR, Hersh AR, Pilliod RA, Caughey AB. Timing of delivery in women with prior uterine rupture: a decision analysis. J Matern Fetal Neonatal Med. 2021;34:238–244. doi: 10.1080/14767058.2019.1602825. [DOI] [PubMed] [Google Scholar]
- 64.Bernardes TP, Zwertbroek EF, Broekhuijsen K, et al. Delivery or expectant management for prevention of adverse maternal and neonatal outcomes in hypertensive disorders of pregnancy: an individual participant data meta-analysis. Ultrasound Obstet Gynecol. 2019;53:443–453. doi: 10.1002/uog.20224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Zlatnik MG, Little SE, Kohli P, Kaimal AJ, Stotland NE, Caughey AB. When should women with placenta previa be delivered? A decision analysis. J Reprod Med. 2010;55:373–381. [PMC free article] [PubMed] [Google Scholar]
- 66.Fan E, Del Sorbo L, Goligher EC, et al. An official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine clinical practice guideline: mechanical ventilation in adult patients with acute respiratory distress syndrome. Am J Respir Crit Care Med. 2017;195:1253–1263. doi: 10.1164/rccm.201703-0548ST. [DOI] [PubMed] [Google Scholar]
- 67.Papazian L, Aubron C, Brochard L, et al. Formal guidelines: management of acute respiratory distress syndrome. Ann Intensive Care. 2019;9:69. doi: 10.1186/s13613-019-0540-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tolcher MC, McKinney JR, Eppes CS, et al. Prone positioning for pregnant women with hypoxemia due to coronavirus disease 2019 (COVID-19) Obstet Gynecol. 2020;136:259–261. doi: 10.1097/AOG.0000000000004012. [DOI] [PubMed] [Google Scholar]
- 69.Jamieson DJ, Rasmussen SA. An update on COVID-19 and pregnancy. Am J Obstet Gynecol. 2022;226:177–186. doi: 10.1016/j.ajog.2021.08.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Tucker Edmonds B, McKenzie F, Downs SM, Carroll AE. Women's preferences for maternal and neonatal morbidity and mortality in childbirth. Med Decis Making. 2019;39:755–764. doi: 10.1177/0272989X19869910. [DOI] [PubMed] [Google Scholar]
- 71.Carroll AE, Downs SM. Improving decision analyses: parent preferences (utility values) for pediatric health outcomes. J Pediatr. 2009;155:21–25. doi: 10.1016/j.jpeds.2009.01.040. e5. [DOI] [PubMed] [Google Scholar]
- 72.Blakeway H, Prasad S, Kalafat E, et al. COVID-19 vaccination during pregnancy: coverage and safety. Am J Obstet Gynecol. 2022;226 doi: 10.1016/j.ajog.2021.08.007. 236.e1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Shimabukuro TT, Kim SY, Myers TR, et al. Preliminary findings of mRNA Covid-19 vaccine safety in pregnant persons. N Engl J Med. 2021;384:2273–2282. doi: 10.1056/NEJMoa2104983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Papageorghiou AT, Deruelle P, Gunier RB, et al. Preeclampsia and COVID-19: results from the INTERCOVID prospective longitudinal study. Am J Obstet Gynecol. 2021;225 doi: 10.1016/j.ajog.2021.05.014. 289.e1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Yin O, Richley M, Hadaya J, et al. Extracorporeal membrane oxygenation in pregnancy: a bridge to delivery and pulmonary recovery for COVID-19–related severe respiratory failure. Am J Obstet Gynecol. 2022;226:571–576. doi: 10.1016/j.ajog.2021.12.024. e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Moore SA, Dietl CA, Coleman DM. Extracorporeal life support during pregnancy. J Thorac Cardiovasc Surg. 2016;151:1154–1160. doi: 10.1016/j.jtcvs.2015.12.027. [DOI] [PubMed] [Google Scholar]
- 77.Adhikari EH, SoRelle JA, McIntire DD, Spong CY. Increasing severity of COVID-19 in pregnancy with Delta (B.1.617.2) variant surge. Am J Obstet Gynecol. 2022;226:149–151. doi: 10.1016/j.ajog.2021.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Sobhy S, Arroyo-Manzano D, Murugesu N, et al. Maternal and perinatal mortality and complications associated with caesarean section in low-income and middle-income countries: a systematic review and meta-analysis. Lancet. 2019;393:1973–1982. doi: 10.1016/S0140-6736(18)32386-9. [DOI] [PubMed] [Google Scholar]
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