Literature DB >> 35104279

Evaluation of low-dose aspirin in the prevention of recurrent spontaneous preterm labour (the APRIL study): A multicentre, randomised, double-blinded, placebo-controlled trial.

Anadeijda J E M C Landman1, Marjon A de Boer1, Laura Visser1, Tobias A J Nijman2, Marieke A C Hemels3, Christiana N Naaktgeboren4, Marijke C van der Weide4, Ben W Mol5,6, Judith O E H van Laar7, Dimitri N M Papatsonis8, Mireille N Bekker9, Joris van Drongelen10, Mariëlle G van Pampus11, Marieke Sueters12, David P van der Ham13, J Marko Sikkema14, Joost J Zwart15, Anjoke J M Huisjes16, Marloes E van Huizen17, Gunilla Kleiverda18, Janine Boon19, Maureen T M Franssen20, Wietske Hermes2, Harry Visser21, Christianne J M de Groot1, Martijn A Oudijk4.   

Abstract

BACKGROUND: Preterm birth is the leading cause of neonatal morbidity and mortality. The recurrence rate of spontaneous preterm birth is high, and additional preventive measures are required. Our objective was to assess the effectiveness of low-dose aspirin compared to placebo in the prevention of preterm birth in women with a previous spontaneous preterm birth. METHODS AND
FINDINGS: We performed a parallel multicentre, randomised, double-blinded, placebo-controlled trial (the APRIL study). The study was performed in 8 tertiary and 26 secondary care hospitals in the Netherlands. We included women with a singleton pregnancy and a history of spontaneous preterm birth of a singleton between 22 and 37 weeks. Participants were randomly assigned to aspirin 80 mg daily or placebo initiated between 8 and 16 weeks of gestation and continued until 36 weeks or delivery. Randomisation was computer generated, with allocation concealment by using sequentially numbered medication containers. Participants, their healthcare providers, and researchers were blinded for treatment allocation. The primary outcome was preterm birth <37 weeks of gestation. Secondary outcomes included a composite of poor neonatal outcome (bronchopulmonary dysplasia, periventricular leukomalacia > grade 1, intraventricular hemorrhage > grade 2, necrotising enterocolitis > stage 1, retinopathy of prematurity, culture proven sepsis, or perinatal death). Analyses were performed by intention to treat. From May 31, 2016 to June 13, 2019, 406 women were randomised to aspirin (n = 204) or placebo (n = 202). A total of 387 women (81.1% of white ethnic origin, mean age 32.5 ± SD 3.8) were included in the final analysis: 194 women were allocated to aspirin and 193 to placebo. Preterm birth <37 weeks occurred in 41 (21.2%) women in the aspirin group and 49 (25.4%) in the placebo group (relative risk (RR) 0.83, 95% confidence interval (CI) 0.58 to 1.20, p = 0.32). In women with ≥80% medication adherence, preterm birth occurred in 24 (19.2%) versus 30 (24.8%) women (RR 0.77, 95% CI 0.48 to 1.25, p = 0.29). The rate of the composite of poor neonatal outcome was 4.6% (n = 9) versus 2.6% (n = 5) (RR 1.79, 95% CI 0.61 to 5.25, p = 0.29). Among all randomised women, serious adverse events occurred in 11 out of 204 (5.4%) women allocated to aspirin and 11 out of 202 (5.4%) women allocated to placebo. None of these serious adverse events was considered to be associated with treatment allocation. The main study limitation is the underpowered sample size due to the lower than expected preterm birth rates.
CONCLUSIONS: In this study, we observed that low-dose aspirin did not significantly reduce the preterm birth rate in women with a previous spontaneous preterm birth. However, a modest reduction of preterm birth with aspirin cannot be ruled out. Further research is required to determine a possible beneficial effect of low-dose aspirin for women with a previous spontaneous preterm birth. TRIAL REGISTRATION: Dutch Trial Register (NL5553, NTR5675) https://www.trialregister.nl/trial/5553.

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Year:  2022        PMID: 35104279      PMCID: PMC8806064          DOI: 10.1371/journal.pmed.1003892

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


Introduction

Worldwide approximately 15 million preterm births occur each year, which accounts for 9% to 12% of all live births [1]. Complications of preterm birth are the leading cause of perinatal mortality and mortality among children younger than 5 [2]. Surviving neonates are at increased risk for several short-term and long-term morbidities such as neurodevelopmental and cognitive impairment [3-5]. Approximately 65% of preterm births has a spontaneous onset following contractions or the rupture of membranes [6]. The strongest risk factor for spontaneous preterm birth is a previous spontaneous preterm birth, with a recurrence rate of up to 30% to 35% in singleton pregnancies [7]. Even when preventive measures such as progesterone are applied, many women will deliver preterm again in subsequent pregnancies [8]. Additional preventive strategies are, therefore, urgently needed. Low-dose aspirin has been proven effective for the prevention of preeclampsia and has also shown to reduce the overall rate of preterm birth [9,10]. In earlier studies, the reduction of preterm birth following the use of low-dose aspirin was attributed to a reduction of medically indicated preterm birth related to preeclampsia. Due to the partially similar pathophysiology of uteroplacental ischemia between spontaneous preterm birth and preeclampsia, it has been suggested that low-dose aspirin may also prevent spontaneous preterm birth. Secondary analyses of randomised controlled trials and a large individual patient data meta-analysis of women at risk for preeclampsia have indeed shown evidence that low-dose aspirin may reduce spontaneous preterm birth [11-13]. To the best of our knowledge, no trials have evaluated aspirin in a high-risk population of women with a history of spontaneous preterm birth. The aim of the present study is to assess the effectiveness of low-dose aspirin in comparison with placebo in preventing preterm birth when initiated in early pregnancy in a high-risk population of women with a previous spontaneous preterm birth.

Methods

Study design

The low-dose aspirin in the prevention of recurrent spontaneous preterm Labour (APRIL) study was a multicentre, randomised, double-blinded, placebo-controlled trial comparing aspirin 80 mg daily to placebo for the prevention of recurrent preterm birth in a high-risk population of women with a previous spontaneous preterm birth. We conducted the trial in 8 tertiary and 26 secondary care hospitals in the Netherlands within the Dutch Consortium for Healthcare Evaluation and Research in Obstetrics and Gynaecology (NVOG Consortium). Ethics approval was obtained from the Medical Research Ethics Committee from the Amsterdam Medical Center (no. 2015_332) and by the boards of all participating centres. The trial was registered in the Dutch Trial Register (NL5553, NTR5675). The study protocol has been published [14]. Minor changes to the study protocol were made before completion of the trial (S1 Appendix). This study is reported as per the Consolidated Standards of Reporting Trials (CONSORT) checklist (S2 Appendix) [15].

Participants

Women ≥18 years were eligible for participation when they had a singleton pregnancy between 8 and 16 weeks of gestation and had a previous spontaneous preterm birth of a singleton between 22 and 37 weeks of gestation. Spontaneous preterm birth was defined as preterm birth following spontaneous contractions with intact membranes or preterm birth after spontaneously ruptured membranes. Exclusion criteria were other indications for aspirin administration (determined at the discretion of the healthcare providers in the participating centres), thrombocytopenia or thrombocytopathy, and major fetal malformations in the current pregnancy or a previous pregnancy ending in spontaneous preterm birth.

Randomisation and masking

Eligible women were recruited by healthcare providers or research nurses/midwives and were given written information about the trial. Written informed consent was obtained from all participants. Women were randomised in a 1:1 ratio using random permuted blocks of sizes 2 and 4 without stratification or minimisation. We used ALEA, a web-based interface that displays the allocation from a computer-generated randomisation sequence. Participants, their healthcare providers, and researchers were blinded for treatment allocation. Allocation deblinding of the research team was performed after the completion of data collection.

Intervention

Women were allocated to aspirin 80 mg or matched placebo. Tablets were manufactured, packaged, and labelled by Ace Pharmaceuticals in the Netherlands. Placebo and aspirin tablets were identical with respect to size, appearance, and physical properties. Medication containers were of identical appearance, sealed, and numbered sequentially according to the allocation sequence. Study medication was stored at the trial pharmacy of Amsterdam University Medical Centers, location Academic Medical Center (AMC). After randomisation, women were prescribed the study medication, which was then distributed to the participant’s preferred address. Treatment was initiated between 8 and 16 weeks of gestation and was continued until 36 weeks or delivery, if delivery occurred earlier. Women were instructed to take 1 tablet a day, preferably in the evening. Other preventive interventions for the prevention of preterm birth, such as progesterone, cerclage, or pessary, could be used alongside the study.

Outcomes

The primary outcome was preterm birth ≥16 and <37 weeks of gestation. Furthermore, we assessed preterm birth rates ≤34 and ≤28 weeks of gestation. Preterm birth was subdivided into spontaneous and indicated preterm birth. Secondary perinatal outcomes were gestational age at birth, preterm prelabour rupture of membranes (with delivery <37 weeks of gestation), midtrimester fetal loss (16+0 to 21+6 weeks of gestation), mode of birth, postpartum hemorrhage, birth weight, and small for gestational age (<10th centile) [16]. Secondary neonatal outcomes included a composite of poor neonatal outcome containing bronchopulmonary dysplasia, periventricular leucomalacia > grade 1, intraventricular hemorrhage > grade 2, necrotising enterocolitis > stage 1, retinopathy of prematurity, culture-proven sepsis, and perinatal death. The components of the composite of poor neonatal outcome were also analysed separately. Other neonatal outcomes were the number and days of hospital admissions or admissions to the neonatal intensive care unit (NICU). Maternal secondary outcomes included mortality, gestational diabetes, pregnancy-induced hypertension, preeclampsia/hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome, eclampsia, pulmonary edema, thromboembolic disease, placental abruption, vaginal bleeding, other bleeding, gastrointestinal complaints, hospital admissions (total number of days and number of admissions for vaginal bleeding or threatened preterm labour), course of steroids for fetal lung maturity, tocolytic therapy, and interventions during pregnancy (progesterone, cerclage, pessary, bacterial vaginosis treated with antibiotics, and urinary or genital tract infections treated with antibiotics). Definitions of the secondary outcomes are provided in S3 Appendix. We used the core outcomes for research concerning interventions to prevent preterm birth [17]. Serious adverse events were defined as congenital anomalies or events that resulted in maternal, fetal, or neonatal death; were life threatening; required hospitalisation (for complications that were not inherent to pregnancy); resulted in persistent or significant disability or incapacity; or any other serious or unexpected adverse event.

Data collection and medication adherence

Gestational age was determined by first trimester ultrasound according to the Dutch national guidelines [18]. Participants and their infants were followed up until 3 months from the expected date of delivery. Maternal characteristics; medical and obstetrical histories; and pregnancy, birth, and neonatal outcomes were recorded in an electronic case report form. Participants received diaries to track their medication use and to report possible side effects from the medication. Symptoms were scored from 0 (no imposition) to 5 (severe imposition). In addition, participants were requested to return leftover study medication to the hospital for pill counts. We calculated medication adherence by dividing the number of used tablets by the expected number of doses per participant. Good adherence was defined as tablet intake of ≥80%. A detailed description of the medication adherence calculation is provided in S4 Appendix.

Statistical analysis

In the sample size calculation, we estimated that aspirin could potentially reduce the recurrent preterm birth rate from 36% to 23%, which is a reduction of 35%. We calculated that enrollment of 384 women was needed (2-sided α = 0.05, β = 80%). Taking into account 5% loss to follow-up, the target enrollment number was 406 women: 203 in each treatment arm. A statistical analysis plan was developed and finalised before deblinding of treatment allocation (S5 Appendix). No changes were made in the planned analyses. We performed analyses by intention to treat. For dichotomous outcomes, treatment effects within the aspirin group were quantified as relative risks (RRs) as calculated by generalised linear regression analysis using a log link. The corresponding 95% confidence intervals (CIs) and p-values were also presented. When there were ≤5 events for a variable, Fisher exact test was used to calculate the p-value instead of the generalised linear regression model. For outcomes with multiple categories, we performed a chi-squared test. For visually normally distributed continuous outcomes, we calculated mean differences with the corresponding 95% CIs and p-values by using the independent samples t test. For highly skewed continuous outcomes, medians and interquartile ranges were calculated together with the 95% CIs and differences in medians. We reported the p-value from the Mann–Whitney U test. No covariates were adjusted for in the analyses. For the primary outcome, Bayes factor analysis was conducted using an RR of 0.64 as prior (based on the assumptions given in the sample size calculation) and a normal distribution for the hypothesis under test. Prespecified subgroup analyses were conducted by adding an interaction term and testing for its statistical significance. The prespecified subgroup analyses were gestational age at initiation of treatment (8+0 to 11+6 weeks versus 12+0 to 16+0 weeks); progesterone prophylaxis versus no progesterone; cervical length (<25 mm versus ≥25 mm); gestational of the earliest previous spontaneous preterm birth (<30+0 weeks versus 30+0 to 33+6 weeks and 34+0 to 36+6 weeks); and the onset of the earliest previous spontaneous preterm birth (spontaneous contractions versus preterm prelabour rupture of membranes). We also performed a prespecified sensitivity analysis of the primary outcome, including women with ≥80% adherence with medication. The cumulative incidence of preterm birth according to treatment group was illustrated in a Kaplan–Meier plot. Statistical analyses were performed in SPSS version 26.0 and SAS version 9.4. We used a 2-sided p-value of 0.05. No corrections were made for multiple comparisons. An external Data Safety and Monitoring Committee monitored safety after every 100th inclusion. No interim analyses for efficacy were performed. The planned economic analysis as described in the protocol paper will be reported elsewhere [14].

Patient and public involvement

The trial was designed in cooperation with the Dutch association for parents with a preterm born child (Care4Neo), and they fully endorsed the research proposal upon submission to ZonMw, the funding organisation. For outcome measures, we used the core outcome set for evaluation of interventions to prevent preterm birth, which was developed in collaboration with patient representatives [17]. We plan to disseminate the results to study participants and patient organisations such as Care4Neo.

Results

A total of 406 women were randomised from May 31, 2016 to June 13, 2019. Follow-up was completed on March 27, 2020 (Fig 1). The exact number of screened women and women who declined participation is unknown, as participating centres were not allowed to collect and share these data according to the Dutch privacy regulations. After randomisation, we excluded 4 women with terminations of pregnancy due to genetic abnormalities (2 in the aspirin group versus 2 in the placebo group), 5 with major congenital anomalies (2 versus 3), and 10 women were ineligible (6 versus 4). Women were ineligible if they were included based on a midtrimester fetal loss <22 weeks of gestation (n = 6), if the previous preterm birth concerned multiple gestations (n = 2) or a child with congenital anomalies (n = 1), or if women had another indication for aspirin at baseline (n = 1). A total of 387 women were included in the final analysis: 194 were allocated to aspirin and 193 to placebo. The inclusions per participating centre are illustrated in S1 Table.
Fig 1

Trial profile.

The median gestational age at randomisation was 13+5 weeks (IQR 12+1 to 15+0) in the aspirin group and 13+6 weeks (IQR 11+6 to 15+1) in the placebo group. Baseline characteristics between treatment groups were comparable regarding maternal characteristics and maternal medical history (Table 1). The rate of women with 1 or more previous midtrimester fetal losses was higher in the aspirin group (n = 14, 7.2%) than in the placebo group (n = 2, 1.0%). These women had multiple preterm births, as a history of a spontaneous preterm birth ≥22 weeks of gestation was an inclusion criterion. Additionally, women in the aspirin group more often had a history of cervical surgery, a history of uterine surgery, and a positive family history of preterm birth.
Table 1

Baseline characteristics according to treatment group.

Aspirin (n = 194)Placebo (n = 193)
Age (years)–mean (SD)32.8 (±3.9)32.3 (±3.6)
Body mass index (kg/m2)–median (IQR)23.8 (21.6 to 26.7)23.7 (21.5 to 26.9)
Ethnic origin
 White154/182 (84.6%)160/185 (86.5%)
 Other origins28/182 (15.4%)25/185 (13.5%)
Education
 Lowa4/108 (4.7%)6/86 (7.0%)
 Middle and highb82/108 (95.3%)80/86 (93.0%)
Smoking
 Yes11/189 (5.8%)10/189 (5.3%)
 Quit12/189 (6.3%)11/189 (5.8%)
 No166/189 (87.8%)168/189 (88.9%)
Alcohol1/187 (0.5%)5/187 (2.7%)
Method of conception
 Natural180 (92.8%)172/192 (89.6%)
 IUI and/or ovulation induction8 (4.1%)10/192 (5.2%)
 IVF/ICSI6 (3.1%)10/192 (5.2%)
Maternal medical history
 Diabetes mellitus2 (1.0%)4 (2.1%)
 Gestational diabetes11 (5.7%)10 (5.2%)
 Renal disease4 (2.1%)2 (1.0%)
 Inflammatory bowel disease2 (1.0%)0 (0%)
 Thyroid disease11 (5.7%)7 (3.6%)
 Chronic hypertension3 (1.5%)3 (1.6%)
 Systemic lupus erythematosus2 (1.0%)0 (0%)
 Cardiac disease3 (1.5%)7 (3.6%)
Obstetric history
Parity
  1132 (68.0%)140 (72.5%)
  243 (22.2%)42 (21.8%)
  ≥319 (9.8%)11 (5.7%)
Number of previous spontaneous preterm births (22+0 to 37+0)
  1175 (90.2%)177 (91.7%)
  ≥219 (9.8%)16 (8.3%)
Number of midtrimester fetal losses (16+0 to 21+6)
  113 (6.7%)2 (1.0%)
  ≥21 (0.5%)0 (0%)
Number of therapeutic abortions
  19 (4.6%)10 (5.2%)
  ≥24 (2.0%)7 (3.6%)
 Number of miscarriages and ectopic pregnancies (<16 +0 )
  145 (23.2%)43 (22.3%)
  ≥228 (14.4%)28 (14.5%)
Risk factors for preterm birth
 History of cervical surgery (conisation/LLETZ)13/191 (6.8%)7/190 (3.7%)
 History of uterine surgery (e.g., myomectomy)6/191 (3.1%)2/191 (1.0%)
 Cerclage in previous pregnancy13 (6.7%)12 (6.2%)
 Uterus anomaly7/173 (4.0%)4/168 (2.4%)
 Family history (mother/sister) of preterm birth8/95 (8.4%)6/105 (5.7%)
 Short interpregnancy interval (<6 months from last pregnancy to conception)16 (8.2%)13 (6.7%)
Gestational age at randomisation–median (IQR)13+5 (12+1 to 15+0)13+6 (11+6 to 15+1)
Fetal sex (girl)98/192 (51.0%)89/193 (46.2%)

aPrimary school, prevocational secondary education (VMBO in Dutch).

bSenior general secondary education (HAVO in Dutch), preuniversity secondary education (VWO in Dutch), secondary vocational education (MBO in Dutch), higher professional education (HBO in Dutch), and university education (WO in Dutch).

ICSI, intracytoplasmic sperm injection; IUI, intrauterine insemination; IVF, in vitro fertilisation; LLETZ, large loop excision of the transformation zone.

aPrimary school, prevocational secondary education (VMBO in Dutch). bSenior general secondary education (HAVO in Dutch), preuniversity secondary education (VWO in Dutch), secondary vocational education (MBO in Dutch), higher professional education (HBO in Dutch), and university education (WO in Dutch). ICSI, intracytoplasmic sperm injection; IUI, intrauterine insemination; IVF, in vitro fertilisation; LLETZ, large loop excision of the transformation zone. Median gestational age at initiation of study medication was 14+5 (IQR 13+3 to 15+6) for women allocated to aspirin and 15+1 (IQR 12+6 to 16+0) for women allocated to placebo (S2 Table). Medication adherence was ≥80% in 63.3% of women, <80% in 11.1%, and unknown in 25.6%. There were no differences in medication adherence between study groups. Preterm birth <37 weeks of gestation occurred in 41 (21.1%) women allocated to aspirin and in 49 (25.4%) women allocated to placebo (RR 0.83, 95% CI 0.58 to 1.20, p = 0.32) (Table 2). The Bayes factor was 0.97, indicating no strong evidence of difference between arms. In the prespecified sensitivity analysis including women with good adherence (≥80%) to medication, preterm birth <37 weeks of gestation occurred less frequent in the aspirin group (24 women, 19.2%) as compared to the intention-to-treat population, while the preterm birth rate in the placebo group remained approximately the same (30 women, 24.8%). The difference between treatment groups was not statistically significant (RR 0.77, 95% CI 0.48 to 1.25, p = 0.29). There was no difference in total, spontaneous, or indicated preterm birth <37 weeks of gestation between women allocated to aspirin or placebo. The cumulative percentages of women with a preterm birth <37 weeks of gestation did not differ (log-rank p = 0.36) between treatment groups (Fig 2). Preterm prelabour rupture of membranes occurred in 9 (4.6%) women receiving aspirin and in 18 (9.3%) receiving placebo (RR 0.50, 95% CI 0.23 to 1.08, p = 0.077). There were no differences between treatment groups for gestational age at birth, preterm birth ≤34 and ≤28 weeks of gestation, mode of delivery, postpartum hemorrhage, and small for gestational age neonates.
Table 2

Birth outcomes according to allocated treatment group.

Aspirin (n = 194)Placebo (n = 193)RRa/Mean differenceb (95% CI)p-value
Preterm birth <37 weeks of gestation41 (21.2%)49 (25.4%)0.83 (0.58 to 1.20)0.323
 Spontaneous onset of preterm birth39 (20.1%)46 (23.8%)0.84 (0.58 to 1.23)0.376
 Indicated preterm birth2 (1.0%)3 (1.6%)0.66 (0.11 to 3.93)0.685c
Preterm birth <37 weeks of gestation in women with ≥80% adherence to therapy24/125 (19.2%)30/121 (24.8%)0.77 (0.48 to 1.25)0.291
Preterm prelabour rupture of membranes (delivery <37 weeks of gestation)9 (4.6%)18 (9.3%)0.50 (0.23 to 1.08)0.077
Gestational age at birth (weeks + days)–median (IQR)38+1 (37+1 to 39+1) (95% CI 37+6 to 38+3)38+1 (36+6 to 39+2) (95% CI 37+6 to 38+4)-0.964
Time between randomisation and birth (weeks + days)–mean (±SD)23+6 (±4+1)24+1 (±3+4)−0+1 (−1+0 to 0+4)0.604
Preterm birth ≤34 weeks18 (9.3%)17 (8.8%)1.05 (0.56 to 1.98)0.872
Spontaneous onset of birth18 (9.3%)16 (8.3%)1.12 (0.59 to 2.13)0.732
Indicated0 (0%)1 (0.5%)--
Preterm birth ≤28 weeks7 (3.6%)5 (2.6%)1.39 (0.45 to 4.31)0.566
Spontaneous onset of birth7 (3.6%)5 (2.6%)1.39 (0.45 to 4.31)0.566
Indicated0 (0%)0 (0%)--
Midtrimester fetal loss (16+0 to 21+6 weeks)2 (1.0%)0 (0%)--
Mode of birth
 Spontaneous vaginal birth154 (79.4%)154 (79.8%)1.00 (0.90 to 1.10)0.920
 Assisted vaginal birth10 (5.2%)6 (3.1%)1.66 (0.62 to 4.47)0.318
 Cesarean delivery30 (15.5%)33 (17.1%)0.90 (0.58 to 1.42)0.663
Postpartum hemorrhage
 >500 mL50/192 (26.0%)51/188 (27.1%)0.96 (0.69 to 1.34)0.811
 >1,000 mL18/192 (9.4%)13/188 (6.9%)1.36 (0.68 to 2.69)0.383
Birth weight (g)–mean (±SD)3,046 (±752)3,109 (±724)−63.6 (−211.5 to 84.3)0.398
Small for gestational age (<10th centile)16/193 (8.3%)15 (7.8%)1.07 (0.54 to 2.10)0.851

aRRs and the corresponding p-values were calculated using generalised linear regression analysis.

bMean differences and the corresponding p-values were calculated using the independent samples t test.

cDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value.

CI, confidence interval; IQR, interquartile range; RR, relative risk; SD, standard deviation.

Fig 2

Kaplan–Meier curve for the cumulative incidence of preterm birth.

aRRs and the corresponding p-values were calculated using generalised linear regression analysis. bMean differences and the corresponding p-values were calculated using the independent samples t test. cDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value. CI, confidence interval; IQR, interquartile range; RR, relative risk; SD, standard deviation. The composite poor neonatal outcome occurred in 9 (4.6%) neonates in the aspirin group and 5 (2.6%) in the placebo group (RR 1.79, 95% CI 0.61 to 5.25, p = 0.29) (Table 3). There were no significant differences between the separate components of the composite outcome. A total of 6 deaths occurred in the aspirin group: 2 fetal losses diagnosed around 16 weeks of gestation (of which one had not started medication yet), 2 midtrimester fetal losses (18+6 and 21+4 weeks), and 2 extreme preterm births (24+2 and 25+2 weeks). There were 2 deaths in the placebo group, which were both midtrimester fetal losses (22+5 and 23+4 weeks). There were no differences in length of NICU or hospital admissions until 3 months corrected neonatal age. Additional neonatal outcomes can be found in S3 Table.
Table 3

Neonatal outcomes according to treatment group.

Aspirin (n = 194)Placebo (n = 193)RRb/ Difference in mediansc (95% CI)p-value
Composite poor neonatal outcome9 (4.6%)5 (2.6%)1.79 (0.61 to 5.25)0.288
 Mortality6 (3.1%)2 (1.0%)2.99 (0.61 to 14.60)0.284d
 BPD1 (0.5%)3 (1.6%)0.33 (0.04 to 3.16)0.372d
 PVL > grade 10 (0%)0 (0%)--
 IVH > grade 21 (0.5%)0 (0%)--
 NEC > stage 11 (0.5%)0 (0%)--
 Retinopathy of prematurity1 (0.5%)2 (1.0%)0.50 (0.05 to 5.44)0.623d
 Culture proven sepsis4 (2.1%)2 (1.0%)1.99 (0.37 to 10.74)0.424d
Mortality
Fetal death4 (2.1%)2 (1.0%)1.99 (0.37 to 10.74)0.685d
Neonatal death2 (1.0%)0 (0%)--
Any hospital admission for neonatal indication80 (74.8%)84 (73%)1.02 (0.88 to 1.20)0.770
Total days in hospital until 3 months corrected age–median (IQR)a*4 (2 to 13) (95% CI 3 to 6)5 (2 to 14) (95% CI 3 to 7)−10.755
NICU admissions13 (6.7%)11 (5.7%)1.18 (0.54 to 2.56)0.683
Total days in the NICU until 3 months corrected age–median (IQR)a*12 (4 to 46) (95% CI 2 to 54)7 (2 to 58) (95% CI 2 to 82)50.560

aOf those neonates with an admission.

bRRs and the corresponding p-values were calculated using generalised linear regression analysis.

cThe corresponding p-value was calculated using the Mann–Whitney U test.

dDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value.

*Of those neonates with an admission.

BPD, borderline personality disorder; CI, confidence interval; IQR, interquartile range; IVH, intraventricular hemorrhage; NEC, necrotising enterocolitis; NICU, neonatal intensive care unit; PVL, Panton–Valentine leukocidin; RR, relative risk; SD, standard deviation.

aOf those neonates with an admission. bRRs and the corresponding p-values were calculated using generalised linear regression analysis. cThe corresponding p-value was calculated using the Mann–Whitney U test. dDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value. *Of those neonates with an admission. BPD, borderline personality disorder; CI, confidence interval; IQR, interquartile range; IVH, intraventricular hemorrhage; NEC, necrotising enterocolitis; NICU, neonatal intensive care unit; PVL, Panton–Valentine leukocidin; RR, relative risk; SD, standard deviation. There were no differences in the incidence of maternal hypertensive disorders, other morbidities, or hospital admissions during pregnancy between treatment groups (Table 4). More women in the aspirin group received a cerclage during pregnancy (n = 25, 12.9%) compared to the placebo group (n = 11, 5.7%) (RR 2.26, 95% CI 1.15 to 4.47, p = 0.019). The use of other preventative measures for preterm birth and maternal self-reported symptoms were similar between treatment groups. Additional data on maternal self-reported symptoms can be found in S1 Fig.
Table 4

Maternal outcomes according to treatment group.

Aspirin (n = 194)Placebo (n = 193)RRb/ Difference in mediansc (95% CI)p-value
Maternal mortality0 (0%)0 (0%)--
Maternal morbidity
 Gestational diabetes15 (7.7%)15 (7.8%)1.00 (0.50 to 1.98)0.988
 Pregnancy-induced hypertension4 (2.1%)5 (2.6%)0.80 (0.22 to 2.92)0.751d
 Preeclampsia/HELLP syndrome2 (1.0%)2 (1.0%)1.00 (0.14 to 6.99)1.000d
 Eclampsia0 (0%)0 (0%)--
 Pulmonary edema0 (0%)0 (0%)--
 Thromboembolic disease0 (0%)0 (0%)--
 Placental abruption0 (0%)2 (1.0%)--
Maternal self-reported symptoms (moderate to severe)
 Vaginal bleeding5/106 (4.7%)7/116 (6.0%)0.78 (0.26 to 2.39)0.666
 Other bleedinga17/106 (16.0%)12/115 (10.4%)1.54 (0.77 to 3.01)0.222
 Gastrointestinal complaints14/105 (13.3%)19/115 (16.5%)0.81 (0.43 to 1.53)0.510
Days of hospital admission during pregnancy for any reason–median (IQR)2 (1 to 3) (95% CI 1 to 2)2 (1 to 2) (95% CI 1 to 2)-0.709
Hospital admissions for vaginal bleeding during pregnancy10 (5.2%)9 (4.7%)1.11 (0.46 to 2.66)0.823
Hospital admissions for threatened preterm labour during pregnancy33 (17.0%)41 (21.2%)0.80 (0.53 to 1.21)0.291
Course of steroids for fetal lung maturity22/193 (11.4%)32/192 (16.7%)0.68 (0.41 to 1.13)0.140
Tocolytic therapy19 (9.8%)28 (14.5%)0.67 (0.39 to 1.16)0.154
Interventions during pregnancy
 Progesterone136 (70.1%)129 (66.8%)1.05 (0.92 to 1.20)0.490
 Cerclage25 (12.9%)11 (5.7%)2.26 (1.15 to 4.47)0.019
 Pessary1 (0.5%)2 (1.0%)0.50 (0.05 to 5.44)0.623d
 Bacterial vaginosis treated with antibiotics12 (6.2%)21 (10.9%)0.57 (0.29 to 1.12)0.104
 Urinary tract or genital infections treated with antibiotics6 (3.1%)15 (7.8%)0.40 (0.16 to 1.00)0.051

aTypes of bleeding: anal bleeding, epistaxis, prolonged wound bleeding, or gingival bleeding.

bRRs and the corresponding p-values were calculated using generalised linear regression analysis.

cThe corresponding p-value was calculated using the Mann–Whitney U test.

dDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value.

CI, confidence interval; HELLP, hemolysis, elevated liver enzymes, and low platelets; IQR, interquartile range; RR, relative risk; SD, standard deviation.

aTypes of bleeding: anal bleeding, epistaxis, prolonged wound bleeding, or gingival bleeding. bRRs and the corresponding p-values were calculated using generalised linear regression analysis. cThe corresponding p-value was calculated using the Mann–Whitney U test. dDue to the occurrence of ≤5 events, Fisher exact test was used to calculate the p-value. CI, confidence interval; HELLP, hemolysis, elevated liver enzymes, and low platelets; IQR, interquartile range; RR, relative risk; SD, standard deviation. Among all randomised women, serious adverse events occurred in 11 (5.4%) women allocated to aspirin and 11 (5.4%) women in the placebo group. There were no differences between treatment groups (S4 Table). None of these serious adverse events was considered to be associated with treatment allocation by the research team. Prespecified subgroup analyses (S5 Table) demonstrated that there was a significant interaction between allocated treatment and the gestational age of the previous preterm birth (p = 0.042). In women with a previous preterm birth <30 weeks of gestation, preterm birth occurred in 19.2% (15/78) of those allocated to aspirin and 32.6% (28/86) of those allocated to placebo (RR 0.59, 95% CI 0.23 to 1.02, p = 0.059). There were no significant differences between treatment groups among women with a previous preterm birth at 30 weeks of gestation or later. No effect modification was found in subgroups based on the initiation of treatment, the use of progesterone, cervical length at asymptomatic screening, and the onset of the (earliest) previous spontaneous preterm birth.

Discussion

In this multicentre, randomised, double-blinded, placebo-controlled trial including women with a previous spontaneous preterm birth <37 weeks of gestation of a singleton, the use of low-dose aspirin (80 mg) initiated from 8 to 16 weeks until 36 weeks of gestation did not significantly reduce the risk of a recurrent preterm birth of a singleton. The preterm birth rate was lower in the aspirin group compared to the placebo group, and, interestingly, the risk difference between treatment groups increased in women with good adherence to study medication. The treatment effect, however, still did not reach statistical significance. Given the lower than expected preterm birth rates, the present study was underpowered to assess the treatment effect related to preterm birth. Preterm birth is a heterogeneous syndrome with multiple possible underlying pathophysiologic mechanisms [19]. Therefore, it is implausible that a single preventive measure will be able to prevent all preterm births. The administration of aspirin might be beneficial to a subset of women at risk. Subgroup analysis of the present study suggests that women with a previous spontaneous preterm birth <30 weeks of gestation might benefit more from low-dose aspirin prophylaxis than women with a spontaneous preterm birth later on in pregnancy, which could be a reflection of a different underlying cause of the preterm birth. Based on placental histological abnormalities, inflammatory causes of preterm birth are predominant among extreme preterm births before 28 weeks of gestation, gradually shifting to the predominance of placental insufficiency in later preterm births [20]. The possible stronger treatment effect of low-dose aspirin among women with a previous extreme preterm birth could indicate that low-dose aspirin may prevent certain subtypes of preterm birth through its anti-inflammatory properties. There was a higher rate of adverse neonatal outcome in the aspirin group, mainly due to a higher mortality rate. The deaths included midtrimester fetal losses and extreme preterm births related to cervical insufficiency and intrauterine inflammation and 2 fetal losses diagnosed at 16 weeks of gestation. These deaths are inherent to the study population, and it seems unlikely that they are related to the treatment received. Previous reviews and meta-analyses did not find an increased perinatal mortality rate in women using aspirin for the prevention of preeclampsia [9,21]. Considering the dose-dependent effect of aspirin, the nonsignificant effect in our study could also be the result of a relatively low dose of aspirin. In the field of preeclampsia, there is some indirect evidence indicating aspirin ≥100 mg might be superior to doses <100 mg when started <16 weeks of gestation [22]. Secondary analyses of previous aspirin trials consistently reported lower rates of spontaneous preterm birth <37 weeks of gestation in the aspirin group compared to the control group with corresponding effect sizes ranging between 0.51 and 0.97 [11,12,23]. An individual participant data meta-analysis including 27,510 women at risk for preeclampsia also found a lower risk of spontaneous preterm birth <37 weeks of gestation (RR 0.93, 95% CI 0.86 to 0.996) in women using antiplatelet agents, mostly aspirin [13]. These results are in line with our findings. Therefore, we believe that our findings support the hypothesis that aspirin might be effective for the prevention of spontaneous preterm birth, even though our treatment effect did not reach statistical significance. The ASPIRIN trial was the first randomised controlled trial evaluating the effect of aspirin with preterm birth as primary outcome [10]. They included 11,976 nulliparous women in low- and middle-income countries and found a reduction in preterm birth rate <37 and <34 weeks of gestation in the aspirin group. They did not distinguish between spontaneous and indicated preterm birth. As there were no differences in the principal causes of indicated preterm birth, they presumed that their results might reflect a reduction in spontaneous preterm birth. Furthermore, they found a significant reduction in stillbirth 16 to 20 weeks of gestation and perinatal mortality. In contrast to other studies, the ASPRE trial did not find a decreased risk of spontaneous preterm birth in women taking aspirin to prevent preeclampsia [24]. The study population was selected based on a screening algorithm for preeclampsia. Even though there is some overlap in the underlying pathophysiologic mechanism between preterm birth and preeclampsia, the population at risk for preeclampsia probably differs from the population at risk for spontaneous preterm birth. To the best of our knowledge, this is the first trial assessing the effect of aspirin for the prevention of preterm birth as the primary outcome in a high-risk population with a previous spontaneous preterm birth. The trial was well conducted and had no loss to follow-up and was of high quality owing to its double-blinded, placebo-controlled design and multicentre setting. The main limitation of our study was the sample size, which was underpowered. Our calculation was based on a preterm birth recurrence rate of 35%, which was, in fact, around 25%. The recurrence rate was based on Meis and colleagues assessing the effect of progesterone on preterm birth [8], and the potential RR reduction of 36% was estimated from the average treatment effect of aspirin in other pregnant populations. The second issue that should be addressed is the randomisation procedure. Despite proper randomisation, imbalances between treatment groups have occurred for some important baseline risk factors. No irregularities occurred in randomisation and masking, and, therefore, the randomisation imbalances are based on chance. The baseline imbalances were all in favour of the placebo group, indicating that the aspirin group had a higher baseline risk of preterm birth, which could have potentially biased results and diminished a possible treatment effect. The present evidence does not support the implementation of low-dose aspirin for the prevention of spontaneous preterm birth; however, a modest effect of low-dose aspirin cannot be excluded. To evaluate the possible beneficial effect of low-dose aspirin for the prevention of spontaneous preterm birth, we encourage researchers to perform large placebo-controlled trials in different populations at risk, e.g., women with a previous spontaneous preterm birth (e.g., before 30 weeks of gestation) and nulliparous women. In light of current discussions on the optimal dose of aspirin, these trials should consider including 3 treatment arms: placebo, aspirin 75 to 80 mg, and aspirin 150 mg. As adherence to medication plays an important role in the clinical treatment effect of aspirin [25,26], detailed recording of medication adherence in such trials is required, and efforts should be made to enhance women’s adherence. Furthermore, these trials should include short- as well as long-term outcomes to evaluate treatment effect and safety [27,28]. In conclusion, the present trial did not show a significant reduction of recurrent preterm birth of a singleton in women who used low-dose aspirin (80 mg) from 8 to 16 weeks until 36 weeks of gestation compared to placebo. A modest effect of aspirin, or an effect in a subset of women (e.g., with a previous early preterm birth), cannot be excluded with the current study.

Maternal self-reported symptoms.

(PDF) Click here for additional data file.

Inclusions per participating centre.

(PDF) Click here for additional data file.

Medication use according to treatment group.

(PDF) Click here for additional data file.

Additional neonatal outcomes according to treatment group.

(PDF) Click here for additional data file.

List of serious adverse events.

(PDF) Click here for additional data file.

Prespecified subgroup analyses.

(PDF) Click here for additional data file.

Comparison to study protocol.

(PDF) Click here for additional data file.

CONSORT checklist.

(PDF) Click here for additional data file.

Definitions of outcomes.

(PDF) Click here for additional data file.

Calculation of medication adherence.

(PDF) Click here for additional data file.

Statistical analysis plan.

(PDF) Click here for additional data file. 23 Jun 2021 Dear Dr Landman, Thank you for submitting your manuscript entitled "Aspirin for the Prevention of Recurrent Spontaneous Preterm Labor (APRIL): a randomized controlled trial" for consideration by PLOS Medicine. Your manuscript has now been evaluated by the PLOS Medicine editorial staff and I am writing to let you know that we would like to send your submission out for external peer review. However, before we can send your manuscript to reviewers, we need you to complete your submission by providing the metadata that is required for full assessment. To this end, please login to Editorial Manager where you will find the paper in the 'Submissions Needing Revisions' folder on your homepage. Please click 'Revise Submission' from the Action Links and complete all additional questions in the submission questionnaire. Please re-submit your manuscript within two working days, i.e. by . Login to Editorial Manager here: https://www.editorialmanager.com/pmedicine Once your full submission is complete, your paper will undergo a series of checks in preparation for peer review. Once your manuscript has passed all checks it will be sent out for review. Feel free to email us at plosmedicine@plos.org if you have any queries relating to your submission. Kind regards, Louise Gaynor-Brook, MBBS PhD Associate Editor PLOS Medicine 15 Sep 2021 Dear Dr. Landman, Thank you very much for submitting your manuscript "Aspirin for the Prevention of Recurrent Spontaneous Preterm Labor (APRIL): a randomized controlled trial" (PMEDICINE-D-21-02759R1) for consideration at PLOS Medicine. Your paper was evaluated by four independent reviewers, including a statistical reviewer, and was discussed among all the editors here and with an academic editor with relevant expertise. The reviews are appended at the bottom of this email and any accompanying reviewer attachments can be seen via the link below: [LINK] In light of these reviews, I am afraid that we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to consider a revised version that addresses the reviewers' and editors' comments. Obviously we cannot make any decision about publication until we have seen the revised manuscript and your response, and we plan to seek re-review by one or more of the reviewers. In revising the manuscript for further consideration, your revisions should address the specific points made by each reviewer and the editors. Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. 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Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it. We look forward to receiving your revised manuscript. Sincerely, Louise Gaynor-Brook, MBBS PhD Associate Editor PLOS Medicine plosmedicine.org ----------------------------------------------------------- Comments from the Academic Editor: Well conducted, well written, good supplementary material and limitations clearly presented. Two minor points: Women were excluded if they had another indication for aspirin. What are the indications for aspirin in the Netherlands? Interestingly some trial participants had conditions that would indicate aspirin according to UK/US guidelines (eg chronic hypertension). Dose could be discussed in the discussion - some studies have advocated 150mg rather than 75 or 80mg. Requests from the editors: General comments: Please replace the term “compliance” with “adherence” where it is used to refer to treatment adherence. Throughout the paper, please adapt reference call-outs to the following style: "... rate of preterm birth [9,10]." (noting the absence of spaces within the square brackets). 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Please remove all subheadings within your Discussion e.g. Strengths and limitations Line 322 - Please temper assertions of primacy by adding ‘to the best of our knowledge’ or similar. Line 340 - please define IPDMA at first use Figures: When a p value is given, please specify the statistical test used to determine it in the respective figure legend (including those in Supporting Information files). Tables: When a p value is given, please specify the statistical test used to determine it in the respective table legend (including those in Supporting Information files). Please define all abbreviations used in the table legend of each table (including those in Supporting Information files). References: Please ensure that journal name abbreviations match those found in the National Center for Biotechnology Information (NCBI) databases, and are appropriately formatted and capitalised. Please also see https://journals.plos.org/plosmedicine/s/submission-guidelines#loc-references for further details on reference formatting. Supplementary files: Please see https://journals.plos.org/plosmedicine/s/supporting-information for our supporting information guidelines. Comments from the reviewers: Reviewer #1: Statistical review This paper reports a RCT comparing low-dose aspirin to placebo for reducing pre-term birth. The methods and results are well reported. I have only some minor comments. 1. Abstract - I am unsure of whether featuring the subgroup analysis predominantly in the abstract is appropriate given that it is described as hypothesis generating and it is one of several subgroup analyses done. 2. Methods, outcomes - I would recommend that the paper lists all secondary outcomes in the main paper (although if complex the full definitions could be kept in the supplementary material). 3. Statistical analysis, Line 201 - I would recommend clarifying this is two-sided alpha. 4. Statistical analysis, I would recommend that the method used to get relative risk reduction is mentioned here. If any covariates were adjusted for in the analysis, I would mention them here. 5. Statistical analysis, for the Bayesian analysis there is not enough information given - presumably an informative prior was used corresponding to 36% and 23% in the two arms, but how informative (i.e. what Beta distribution was used). Although in the SAP I would summarise it in the main paper. 6. Statistical analysis, I would add what subgroups were pre-specified. 7. Line 256 - perhaps add 'indicating no strong evidence of difference between arms' after the Bayes factor result? 8. Line 273 - I would edit this to 'no significant differences'. 9. Methods/Results - I note the protocol mentions an economic analysis but this is not included here. It might be good to somewhere say that this will be reported elsewhere (or that it was planned for but not done). James Wason Reviewer #2: Nicely done paper. Unfortunately, as you point out, the study was underpowered to make a firm finding. One question, if you did statistical re-analysis with the projected preterm delivery rate of 35% and risk reduction of 36% would your study show statistical/possible clinical significance? Reviewer #3: This RCT of women with a prior SPTB comparing low dose aspirin (80mg) to placebo in women with a history of preterm birth. The project was well conducted with appropriate provision for masking and ascertaining outcomes. The paper is well written and the conclusions are well supported. Similarly they adhere to the CROWN guidance and provide rich supplementary materials. The following comments are designed to improve the manuscript. Major: 1. The largest issue with this trial is the exceedingly ambitious power analysis. They assume a baseline rate from a study conducted with an American predominantly African-American population of whom almost have had 2 prior preterm deliveries. On top of this they assume an effect size of 35% when the prior literature had suggested a 10 to 20%. Finally they set the power at 80%. It is therefore not surprising that the out come is a trial in which the OR is directionally correct but not statistically significant. This is compounded by the fact as they describe there is a lack of parity in the two groups with the Aspirin group having higher risk. 2. Throughout the manuscript- p-Values are not kept to 2 significant digits. 3. Preterm birth is the primary outcome yet the method of deriving this outcome is not clear established. Was a first trimester ultrasound required? How were discrepancies in LMP and due date by ultasound handled. Minor: 1. Introduction: You do not need to state that "The remaining 65%" as this is inferred from the prior sentence. 2. Intervention: UMC and AMC are unclear abbreviations. 3. Methods: " The most important" Should be removed. This is a value judgement. 4. Results: "The rate of women ....(n=14 , 7.2%) This number disagrees with the table that reports 13. Please decide which is correct. 5. Table 1: please define education level and "quitted" should be quit or prior Reviewer #4: I have read this paper in detail , now several times. It is an excellent randomised controlled trial where the authors have faced the recurrent challenges of a less than expected outcome rate and therefore as they say the study in the final analysis is underpowered. Also the study demonstrates that randomisation does not result in perfectly balanced groups. The baseline imbalances were all in favour of the placebo group and therefore this could mask the true effectiveness of the aspirin. I consider the study outstanding partly because of the way the authors have discussed and interpreted it. In particular they articulate very clearly the ambiguity of the results of their trial. This should serve as a model discussion piece. I would just ask for one minor revision; given the results, the underpowered nature of the study, the complexity of the arena and other challenges, a brief paragraph on the way forward with further investigations should be offered. Any attachments provided with reviews can be seen via the following link: [LINK] 14 Oct 2021 Submitted filename: APRIL Response editors and reviewers PLOS Medicine 20211009.docx Click here for additional data file. 18 Nov 2021 Dear Dr. Landman, Thank you very much for re-submitting your manuscript "Evaluation of Low-dose Aspirin for the Prevention of Recurrent Spontaneous Preterm Labour (the APRIL study): a multicentre, randomised, double-blinded, placebo-controlled trial" (PMEDICINE-D-21-02759R2) for review by PLOS Medicine. I have discussed the paper with my colleagues and the academic editor and it was also seen again by two reviewers. I am pleased to say that provided the remaining editorial and production issues are dealt with we are planning to accept the paper for publication in the journal. The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. Please take these into account before resubmitting your manuscript: [LINK] ***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.*** In revising the manuscript for further consideration here, please ensure you address the specific points made by each reviewer and the editors. 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PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. 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Sincerely, Callam Davidson (on behalf of Louise Gaynor-Brook) Associate Editor PLOS Medicine plosmedicine.org ------------------------------------------------------------ Requests from Editors: In your Data Availability Statement, please provide some further detail as to the AMC policy on data sharing and how data will be made available to those who enquire. On line 136, the term "trend" is used to refer to a nonsignificant P value. The term trend should be used only when the test for trend has been conducted. Please revise accordingly. Citations should be preceding punctuation, please update throughout. Please remove the ‘Competing interests’, ‘Financial Disclosure Statement’, and ‘Data availability’ sections from the end of the main text; this information will be captured as metadata based on your responses to the submission form questions (so please ensure all relevant information is included in your answers). Similarly, please remove the ‘Ethics approval’ section from the end of the main text as this information is already included in the methods section. Table 3: Please confirm the meaning of the asterisk in table 3 or remove if it was included unintentionally. Table S2 and Appendix S4: Please replace the term “compliance” with “adherence” where it is used to refer to treatment adherence. Comments from Reviewers: Reviewer #1: Thank you to the authors for addressing my previous comments well. I have no further issues to raise. Reviewer #3: Thank you for addressing the comments so thoughtfully. I have no additional comments. Any attachments provided with reviews can be seen via the following link: [LINK] 25 Nov 2021 Submitted filename: APRIL Response editors no. 2 20211125.docx Click here for additional data file. 14 Dec 2021 Dear Dr Landman, On behalf of my colleagues and the Academic Editor, Dr. Sarah Stock, I am pleased to inform you that we have agreed to publish your manuscript "Evaluation of Low-dose Aspirin for the Prevention of Recurrent Spontaneous Preterm Labour (the APRIL study): a multicentre, randomised, double-blinded, placebo-controlled trial" (PMEDICINE-D-21-02759R3) in PLOS Medicine. Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. 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Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper. Sincerely, Louise Gaynor-Brook, MBBS PhD Associate Editor, PLOS Medicine
  26 in total

1.  Low-dose aspirin for the prevention of preterm delivery in nulliparous women with a singleton pregnancy (ASPIRIN): a randomised, double-blind, placebo-controlled trial.

Authors:  Matthew K Hoffman; Shivaprasad S Goudar; Bhalachandra S Kodkany; Mrityunjay Metgud; Manjunath Somannavar; Jean Okitawutshu; Adrien Lokangaka; Antoinette Tshefu; Carl L Bose; Abigail Mwapule; Musaku Mwenechanya; Elwyn Chomba; Waldemar A Carlo; Javier Chicuy; Lester Figueroa; Ana Garces; Nancy F Krebs; Saleem Jessani; Farnaz Zehra; Sarah Saleem; Robert L Goldenberg; Kunal Kurhe; Prabir Das; Archana Patel; Patricia L Hibberd; Emmah Achieng; Paul Nyongesa; Fabian Esamai; Edward A Liechty; Norman Goco; Jennifer Hemingway-Foday; Janet Moore; Tracy L Nolen; Elizabeth M McClure; Marion Koso-Thomas; Menachem Miodovnik; R Silver; Richard J Derman
Journal:  Lancet       Date:  2020-01-25       Impact factor: 79.321

Review 2.  Antiplatelet Agents and the Prevention of Spontaneous Preterm Birth: A Systematic Review and Meta-analysis.

Authors:  Elvira O G van Vliet; Lisa A Askie; Ben W J Mol; Martijn A Oudijk
Journal:  Obstet Gynecol       Date:  2017-02       Impact factor: 7.661

3.  Low-dose aspirin and preterm birth: a randomized controlled trial.

Authors:  Robert M Silver; Katherine Ahrens; Luchin F Wong; Neil J Perkins; Noya Galai; Laurie L Lesher; David Faraggi; Jean Wactawski-Wende; Janet M Townsend; Anne M Lynch; Sunni L Mumford; Lindsey Sjaarda; Enrique F Schisterman
Journal:  Obstet Gynecol       Date:  2015-04       Impact factor: 7.661

4.  The impact of low-dose aspirin on preterm birth: secondary analysis of a randomized controlled trial.

Authors:  A A Allshouse; R H Jessel; K D Heyborne
Journal:  J Perinatol       Date:  2016-02-18       Impact factor: 2.521

Review 5.  Long-term child follow-up after large obstetric randomised controlled trials for the evaluation of perinatal interventions: a systematic review of the literature.

Authors:  M J Teune; A G van Wassenaer; G L Malin; E Asztalos; Z Alfirevic; B W J Mol; B C Opmeer
Journal:  BJOG       Date:  2012-10-19       Impact factor: 6.531

6.  Aspirin for Evidence-Based Preeclampsia Prevention trial: influence of compliance on beneficial effect of aspirin in prevention of preterm preeclampsia.

Authors:  David Wright; Liona C Poon; Daniel L Rolnik; Argyro Syngelaki; Juan Luis Delgado; Denisa Vojtassakova; Mercedes de Alvarado; Evgenia Kapeti; Anoop Rehal; Andrea Pazos; Ilma Floriana Carbone; Vivien Dutemeyer; Walter Plasencia; Nikos Papantoniou; Kypros H Nicolaides
Journal:  Am J Obstet Gynecol       Date:  2017-09-06       Impact factor: 8.661

7.  Neurologic and developmental disability at six years of age after extremely preterm birth.

Authors:  Neil Marlow; Dieter Wolke; Melanie A Bracewell; Muthanna Samara
Journal:  N Engl J Med       Date:  2005-01-06       Impact factor: 91.245

8.  Low dose aspirin in the prevention of recurrent spontaneous preterm labour - the APRIL study: a multicenter randomized placebo controlled trial.

Authors:  Laura Visser; Marjon A de Boer; Christianne J M de Groot; Tobias A J Nijman; Marieke A C Hemels; Kitty W M Bloemenkamp; Judith E Bosmans; Marjolein Kok; Judith O van Laar; Marieke Sueters; Hubertina Scheepers; Joris van Drongelen; Maureen T M Franssen; J Marko Sikkema; Hans J J Duvekot; Mireille N Bekker; Joris A M van der Post; Christiana Naaktgeboren; Ben W J Mol; Martijn A Oudijk
Journal:  BMC Pregnancy Childbirth       Date:  2017-07-14       Impact factor: 3.007

Review 9.  Assessment of long-term neurodevelopmental outcome following trials of medicinal products in newborn infants.

Authors:  Neil Marlow; Lex W Doyle; Peter Anderson; Samantha Johnson; Varsha Bhatt-Mehta; Giancarlo Natalucci; Brian A Darlow; Jonathan M Davis; Mark A Turner
Journal:  Pediatr Res       Date:  2019-08-09       Impact factor: 3.756

Review 10.  Risk of recurrent spontaneous preterm birth: a systematic review and meta-analysis.

Authors:  Courtney Phillips; Zain Velji; Ciara Hanly; Amy Metcalfe
Journal:  BMJ Open       Date:  2017-07-05       Impact factor: 2.692

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  4 in total

1.  Improved implementation of aspirin in pregnancy among Dutch gynecologists: Surveys in 2016 and 2021.

Authors:  Jeske Milou Bij de Weg; Laura Visser; Martijn Alexander Oudijk; Johanna Inge Petra de Vries; Christianne Johanna Maria de Groot; Marjon Alina de Boer
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

2.  Long-term outcomes following antenatal exposure to low-dose aspirin: study protocol for the 4-year follow-up of the APRIL randomised controlled trial.

Authors:  Anadeijda J E M C Landman; Emilie V J van Limburg Stirum; Janneke van 't Hooft; Aleid G Leemhuis; Martijn J J Finken; Anneloes L van Baar; Tessa J Roseboom; Anita C J Ravelli; Madelon van Wely; Jaap Oosterlaan; Rebecca C Painter; Eva Pajkrt; Martijn A Oudijk; Marjon A de Boer
Journal:  BMJ Open       Date:  2022-08-08       Impact factor: 3.006

3.  Uterine Fibroids Causing Preterm Birth: A New Pathophysiological Hypothesis on the Role of Fibroid Necrosis and Inflammation.

Authors:  Emma E Don; Anadeijda J E M C Landman; Guus Vissers; Ekaterina S Jordanova; Emiel D Post Uiterweer; Christianne J M de Groot; Marjon A de Boer; Judith A F Huirne
Journal:  Int J Mol Sci       Date:  2022-07-22       Impact factor: 6.208

4.  Preterm Birth Therapies to Target Inflammation.

Authors:  Ioannis Pavlidis; Sarah J Stock
Journal:  J Clin Pharmacol       Date:  2022-09       Impact factor: 2.860

  4 in total

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