A double blind, randomised, placebo-controlled trial to evaluate the efficacy of metformin to treat preterm pre-eclampsia (PI2 Trial): Study protocol

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Study Justification:
– Pre-eclampsia is a major complication of pregnancy, leading to maternal and fetal deaths.
– Current treatment options are limited to delivery, so a therapeutic that can treat preterm pre-eclampsia would be beneficial.
– Metformin, a drug commonly used to treat gestational diabetes, has shown promising effects in preclinical studies.
Highlights:
– The PI2 Trial is a phase II clinical trial aiming to evaluate the efficacy of metformin in treating preterm pre-eclampsia.
– The trial will recruit 150 women with preterm pre-eclampsia and randomize them to receive either metformin or placebo.
– The primary outcome is the time from randomization until delivery, with a delay of 5 days considered clinically relevant.
– Secondary outcomes include maternal and neonatal composite outcomes.
– The study has ethical approval, is registered with clinical trial registries, and will be disseminated through conferences and peer-reviewed journals.
Recommendations:
– The study aims to determine if metformin can safely prolong gestation in women with preterm pre-eclampsia.
– If the results show a significant prolongation of gestation, metformin could be considered as a potential treatment option for preterm pre-eclampsia.
– Further research and larger trials may be needed to confirm the efficacy and safety of metformin in this context.
Key Role Players:
– Principal Investigator
– Clinical team at the hospital
– Research staff for data collection and management
– Data and Safety Monitoring Committee
– Ethics Committee or Institutional Review Board
Cost Items for Planning Recommendations:
– Research staff salaries
– Data collection and management tools
– Laboratory tests and analysis
– Medication (metformin and placebo)
– Participant recruitment and retention strategies
– Statistical analysis software
– Dissemination of results (conference attendance, publication fees)

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides a detailed description of the study protocol, including the research question, methods, outcomes, and statistical analysis plan. However, it does not provide information on the sample size calculation or potential limitations of the study. To improve the evidence, the abstract could include a discussion of the potential limitations and how they will be addressed, as well as the rationale for the chosen sample size.

Introduction Pre-eclampsia is a major complication of pregnancy, globally responsible for 60 000 maternal deaths per year, and far more fetal losses. There is no definitive treatment other than delivery. A therapeutic that could quench the disease process would be useful to treat preterm pre-eclampsia, as it could allow these pregnancies to safely continue to a gestation where fetal outcomes are significantly improved. We have published preclinical data to show that metformin, a drug known to be safe in pregnancy and commonly used to treat gestational diabetes, has potent biological effects making it another promising candidate to treat pre-eclampsia. Here, we describe a phase II clinical trial to examine whether administering extended-release metformin may be effective in treating women with preterm pre-eclampsia (PI2 Trial). Methods The PI2 Trial is a phase II, double blind, randomised controlled trial that aims to recruit 150 women with preterm pre-eclampsia (gestational age 26+0 to 31+6 weeks) who are being managed expectantly. Participants will be randomised to receive either 3 g of metformin or placebo daily. The primary outcome is time from randomisation until delivery. A delay in delivery of 5 days is assumed to be clinically relevant. The secondary outcomes will be a maternal composite and neonatal composite outcome. All other outcomes will be exploratory. We will record adverse events. Ethics and dissemination This study has ethical approval (Protocol number M16/09/037 Federal Wide Assurance Number 00001372, Institutional Review Board Number IRB0005239), is registered with the Pan African Clinical Trial Registry (PACTR201608001752102) and the South African Medicine Control Council (20170322). Data will be presented at international conferences and published in peer-reviewed journals. Trial registration number PACTR201608001752102; Pre-results.

The full protocol is included as supplementary information (online supplementary file 1). bmjopen-2018-025809supp001.pdf Phase II hospital based, double blind, randomised, placebo-controlled trial. Pregnant women diagnosed with pre-eclampsia at a gestational age between 26+0 weeks to 31+6 weeks at Tygerberg Hospital (Western Cape Province of South Africa) will be invited to participate. To be eligible for this study the treating clinicians need to have made an initial assessment and deemed that the patient is suitable for expectant management and delivery is not immediately required or anticipated in the next 48 hours. We will recruit women with a singleton pregnancy diagnosed with pre-eclampsia and chronic hypertension with superimposed pre-eclampsia defined according to the criteria published by The International Society for the Study of Hypertension In Pregnancy,10 and require the presence of significant proteinuria (more than 300 mg in a 24 hours urine collection). Some women only present for antenatal care after 20 weeks gestation. We will include these women and classify these women as unclassified proteinuric hypertension during the pregnancy according to the classification of Davey and MacGillivray.11 Postpartum, these women will be reclassified as having had pre-eclampsia or chronic hypertension based on their blood pressure and need for medication more than 6 weeks after the due date. Gestational age will be determined by either period dates (if the woman is certain of her last menstrual period) or by an early or mid trimester pregnancy ultrasound. If the gestational age is uncertain, we will recruit participants with an estimated fetal weight between 500 and 1800 g, determined by ultrasound performed at presentation. A full list of inclusion criteria is provided in box 1. Exclusion criteria include women with established maternal or fetal compromise that necessitates delivery within 48 hours, the current use of metformin, contraindications to the use of metformin or the use of medications that interact with metformin. A full list of exclusion criteria is provided in box 2. Participants will be identified after they have been admitted to the tertiary referral centre with a diagnosis of preterm pre-eclampsia for expectant management. An information leaflet will be given to all potential participants and written informed consent will be obtained (online supplementary file 2 and 3). After informed consent, participants will be randomised to metformin or placebo in a 1:1 ratio. An online, web-based sequence generator system linked with codes for placebo and treatment tablets will be used. Both researchers and participants will be blinded. The gestational age at diagnosis is likely to affect allowable length of pregnancy prolongation. To ensure treatment group allocation is balanced for this potentially confounding variable, we will stratify by gestational age. Strata 1 includes women with pregnancies of gestational age of 26+0 up to and including 28+6 weeks (500 to 1200 g if gestation is unknown). Strata 2 includes women with pregnancies of gestational age 29+0 up to and including 31+6 weeks (1200 to 1800 g if gestation is unknown). Thus, randomisation will include blocking within each gestational age stratum. We will use blocks of four to six with the size and order randomly assigned. Once the participants have been randomised, the treatment pack with the same code will be allocated to the participant. All treatment packs will be identical and will contain either active tablets or placebo. The researchers will have no access to the randomisation list. This process will ensure that there is allocation concealment throughout the conduct of the trial. Each participant will be given an individual treatment pack containing either 500 mg of metformin XR or identical placebo tablets which have been produced by Merck (http://www.merck.com/index.html). Labelling, storage and preparation will be done according to the requirements of the Medicines for Human Use (Clinical Trials) regulations. Participants will be started on six tablets daily in divided doses. If side effects develop the dose will be decreased until the side effects improve and then increased again if tolerated. Participants will remain under the care of the hospital treating team and the study will not alter or interfere with the routine care provided for women with preterm pre-eclampsia, including the decision for delivery. Management for preterm pre-eclampsia involves admission to hospital with close maternal and fetal surveillance. Maternal surveillance includes four times an hour blood pressure measurement, two times per day clinical assessment, daily urinalysis and two times per week assessments with blood tests (full blood count, renal function tests and hepatocellular enzymes if haemolysis, elevated liver enzymes and low platelets syndrome is suspected) and 24 hours urinary protein measurement on admission. Fetal surveillance includes six times an hour cardiotocography and ultrasound assessments every 2 weeks (or more frequently if clinically indicated) for Doppler velocimetry of the umbilical artery, middle cerebral artery, ductus venosus, amniotic fluid volume assessment and fetal growth. All participants will receive two doses of betamethasone 24 hours apart to reduce the risks of neonatal respiratory distress syndrome, intracranial haemorrhage and necrotising enterocolitis for the neonate. A single repeat dose will be given 1 week later as per hospital protocol.12 Most participants will be on antihypertensive treatment, and the dose and number of antihypertensives will be recorded. All women should already be receiving calcium, iron and folic acid supplementation. Clinical care will be left up to the discretion of the clinical team. The indication for delivery will be a clinical decision. Indications for delivery may include inability to achieve blood pressure control, the development of major maternal or fetal complications or intrauterine fetal death. Expectant management will usually end at a gestation of 34 weeks. Blood samples will be routinely collected two times a week. The routine blood samples include measurements of the haemoglobin, the platelet count and the urea and creatinine levels. These will be used by the managing clinicians to determine disease severity and may trigger delivery. The primary outcome is to examine whether up to 3 g of metformin daily can safely prolong gestation in women with preterm pre-eclampsia diagnosed between 26+0 to 31+6 weeks gestation, compared with standard of care, expectant management alone. This is set in a superiority framework with two-sided hypothesis regions for all statistical testing. A prolongation of 5 days or longer will be considered clinically significant. The secondary outcome is to determine whether metformin improves maternal composite and neonatal composite outcomes. The composite maternal outcome includes maternal death, eclampsia, pulmonary oedema, severe renal impairment or the need for dialysis, a cerebral vascular event, the development of a liver haematoma or rupture and placental abruption. The composite neonatal outcome will include neonatal death within 6 weeks after the due date, grade III or IV intraventricular haemorrhage defined enlarged ventricles associated with haemorrhage or haemorrhage extending into the cerebral tissue around the ventricles on imaging, necrotising enterocolitis defined on radiographic studies or bronchopulmonary dysplasia defined as needing oxygen at day 28 of life, either on a ventilator, by continuous positive airway pressure or via a nasal catheter. See box 3. Composite maternal outcome: Composite neonatal outcome: All other outcomes, including outcomes nested within the composite secondary outcomes will be classified as exploratory outcomes. These are listed in box 4. Maternal exploratory outcomes: Fetal exploratory outcomes: Neonatal exploratory outcomes: All participants will be informed that they are free to withdraw from the study at any time, and that this will not affect their clinical care. In the event of withdrawal, we will seek the patient’s permission to use their clinical information and laboratory samples collected thus far in subsequent analyses. It is anticipated that the study will be completed in approximately 3 years (2018 to 2020). In our previous PIE study, we included 120 women in 15 months.8 Patient confidentiality will be protected according to the regulations set forth by Stellenbosch University’s Human Research Ethics Committee or Institutional Review Board. Data will be collected prospectively using a REDCap database.13 Data entry and checking will be continuous, and queries will be addressed contemporaneously to ensure clarification without delay. All data will be double checked for accuracy. The patient characteristics, by treatment group at randomisation, will be presented as mean (SD), median (25th to 75th percentile), minimum, maximum and count (%) depending on type and distribution. The primary outcome will be measured from the time of randomisation to delivery. Secondary maternal and neonatal outcomes will be measured from the time of recruitment until 6 weeks after the due date. The significance level for the primary outcome is set at 0.05 and all hypothesis testing will be two-sided. If, and only if, there is a significant difference for the primary outcome, the two secondary outcomes will be tested at a significance level of 0.025. Standard 95% CI will be used to present the analysis of the primary outcome. The width of the CI used will be adjusted for the secondary outcomes if tested. For raw results data, the primary outcome will be summarised using median (25th to 75th percentile) along with minimum and maximum values. All secondary outcomes and exploratory outcomes of inter-test will be presented by number (%) by treatment arm. Primary outcome effect size will be presented as difference in medians and 95% CI, adjusted for gestational age strata based on the quantile regression model. P values will be reported associated with 95% CI for the secondary outcomes if tested. Exploratory outcomes will be presented with 95% CI. Modelling will use quantile regression to assess difference in median prolongation between groups. This will be supplemented by survival analysis (ie, time until delivery), using Cox proportional hazards regression (CPH) and Kaplan-Meier survivorship curves. Survival outcomes will not be subject to hypothesis testing. For both quantile regression and survival analysis effect estimates will be presented as group difference with 95% CI. The number of events for each of the composite binary outcomes is likely to be small. An exact logistic regression model containing treatment group and gestational age strata will be used. In the event that it is not possible to obtain estimates, due to small counts each hypothesis will be tested, unadjusted for gestational strata, using Fisher’s exact test. Point estimates of percentage and exact 95% CI will also be provided. For the primary outcome a covariate adjusted analysis with both treatment group and gestational age design-based strata modelled as fixed will constitute the primary analysis outcome. Unadjusted and adjusted CPH analysis are only supplemental to this primary analysis. For the secondary outcomes composite binary outcomes will be modelled using a logistic regression model containing both treatment group and gestation aged based strata. The sensitivity analyses that will be conducted on the primary outcome are; first, the treatment received; second, gestational age as an effect modifier; third, covariate adjusted for an estimated fetal weight less than the 10th and 3rd centile on ultrasound at the time of randomisation and absent umbilical artery end diastolic flow as these are more likely to be associated with shorter randomisation to delivery times and lastly, a survival analysis will be performed using CPH adjusted for gestational age strata and Kaplan-Meier survivorship curves. No sensitivity analysis for primary outcome outcomes is planned for missing data as we expect these mothers not to have missing outcome data or baseline measured pre-treatment covariates. If the neonate is lost to follow-up the outcome will be set to missing, a sensitivity analysis will be performed to assess strength of inference given pattern of missingness by setting missing values to no event, mean event rate or event to assess dependence on inference on the unknown outcomes. Statistical software used is Stata V.15 (StataCorp. 2017. Stata Statistical Software: Release 15). The trial presentation will meet the CONSORT statement requirements (http://www.consort-statement.org/). The primary research question is whether metformin will result in a gain in the median length of gestation compared with placebo therapy. A prolongation of more than 5 days will be considered clinically significant. Given the focus on median prolongation and the skewed nature of the gestation prolongation (seen in the two trials listed below) we based sample size calculations on the geometric mean ratio. Analysis was performed both using PASS 13 (Power Analysis and Sample Size Software [2014]. NCSS, LLC.) and the Powercal programme running in Stata V.15.14 We have two sources for data on the prolongation of gestation in pre-eclamptic mothers receiving expectant management which were both performed at the same hospital where we plan to run this trial (Tygerberg Hospital). Hall et al, in the largest descriptive study on expectant management of preterm pre-eclampsia, reported a mean gestation prolongation of 11 (SD 7) days equivalent to a coefficient of variation (CV) = 0.64,15 and the PIE trial,8 where patients randomised to the placebo arm had an overall mean prolongation of 13.1 (SD 12.2) days, a CV = 0.93.8 In this study for mothers entering at gestations greater than 29 weeks, the CV = 0.8. We have therefore chosen to use a CV = 1.0, slightly larger than the 0.93 found in our PIE study, to allow for adequate power if greater variability in prolongation times occurs in PI2 Trial. For 90% power, with a two-sided alpha set at 0.05, control median prolongation of 8.3 days and prolongation of gestation of 5 days with the measure of variability used in this analysis being the CV = (data SD)/data mean), we require 65 participants per group. Allowing for 10 dropouts per group we require 75 participants per arm and therefore a total of 150 participants. The gestational age at diagnosis is likely to affect allowable length of pregnancy prolongation. For instance, those diagnosed at 31+6 will be delivered at 34 weeks. Thus, such patients will have a maximum length of pregnancy prolongation of 15 days. In contrast, those diagnosed at 28 could conceivably obtain many weeks of pregnancy prolongation. Further it is possible that metformin efficacy may vary with gestational age at diagnosis. To ensure treatment group allocation is balanced for this potential variable, we will stratify randomisation into strata based on gestational age. Stratum 1 will include pregnancies of a gestational age of 26 weeks 0 days up to and including 28 weeks and 6 days. Stratum 2 will include pregnancies from 29 weeks and 0 days up to and including 31 weeks and 6 days. More detail is available in the trial statistical analysis plan (online supplementary file 4). bmjopen-2018-025809supp004.pdf Reporting and handling of adverse events and serious adverse will be in accordance with the good clinical practice guidelines. Given that the safety profile of metformin in pregnancy is well established, we anticipate the need for unblinding to be unlikely. However, we will have the following procedures in place should unblinding be required. Sheets with lists of 25 randomisation codes each will be sealed in individual, signed, numbered envelopes. If unblinding is requested, the relevant envelope will be opened by a person not involved in the trial in the presence of two witnesses, the group allocation read and the list re-sealed in an envelope and signed. The randomisation envelopes will be accessible at all times to the principal investigator who will be contactable by mobile telephone. The principal investigator will co-ordinate this process. If for any reason, there is a need to stop the trial prematurely this decision will be taken by the data and safety monitoring committee. Patients and the public were not involved in the development of the research question, the design of the study, the conduct or recruitment and the burden of the intervention was not assessed by the patients or the public. The results of the study will be emailed to the participants.

Based on the provided information, the potential innovation to improve access to maternal health is the use of metformin as a treatment for preterm pre-eclampsia. The PI2 Trial is a phase II clinical trial that aims to evaluate the efficacy of metformin in treating women with preterm pre-eclampsia. The trial will recruit 150 women with preterm pre-eclampsia and randomize them to receive either 3 g of metformin or placebo daily. The primary outcome of the trial is the time from randomization until delivery, with a delay in delivery of 5 days or longer considered clinically significant. The secondary outcomes include maternal and neonatal composite outcomes. The trial is registered with the Pan African Clinical Trial Registry and the South African Medicine Control Council. Data from the trial will be presented at international conferences and published in peer-reviewed journals.
AI Innovations Description
The recommendation to improve access to maternal health based on the provided study protocol is to conduct a double-blind, randomized, placebo-controlled trial to evaluate the efficacy of metformin in treating preterm pre-eclampsia. Pre-eclampsia is a major complication of pregnancy that can lead to maternal and fetal deaths. Currently, there is no definitive treatment for preterm pre-eclampsia other than delivery. However, if a therapeutic option, such as metformin, can effectively treat preterm pre-eclampsia, it could allow these pregnancies to safely continue to a gestation where fetal outcomes are significantly improved.

The study protocol outlines the methods for the phase II clinical trial, which aims to recruit 150 women with preterm pre-eclampsia (gestational age 26+0 to 31+6 weeks) who are being managed expectantly. The participants will be randomly assigned to receive either 3 g of metformin or placebo daily. The primary outcome of the trial is the time from randomization until delivery, with a delay in delivery of 5 days or longer considered clinically relevant. Secondary outcomes include maternal and neonatal composite outcomes.

The study has received ethical approval and is registered with the Pan African Clinical Trial Registry and the South African Medicine Control Council. The data collected will be presented at international conferences and published in peer-reviewed journals.

By conducting this trial, researchers aim to determine whether metformin can safely prolong gestation in women with preterm pre-eclampsia and improve maternal and neonatal outcomes. If the trial demonstrates positive results, the use of metformin as a treatment option for preterm pre-eclampsia could be implemented to improve access to maternal health.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Telemedicine: Implementing telemedicine programs can provide remote access to healthcare professionals, allowing pregnant women in remote or underserved areas to receive prenatal care and consultations without the need for travel.

2. Mobile clinics: Establishing mobile clinics that travel to rural or underserved areas can provide essential prenatal care, screenings, and education to pregnant women who may not have easy access to healthcare facilities.

3. Community health workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and pregnant women in remote areas. These workers can provide basic prenatal care, education, and referrals to healthcare facilities when necessary.

4. Health education programs: Developing and implementing health education programs that focus on maternal health can help raise awareness and empower pregnant women to take proactive steps in managing their health during pregnancy.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that would benefit from the recommendations, such as pregnant women in rural areas or underserved communities.

2. Collect baseline data: Gather data on the current access to maternal health services in the target population, including factors such as distance to healthcare facilities, availability of prenatal care, and health outcomes.

3. Implement the recommendations: Introduce the recommended interventions, such as telemedicine programs, mobile clinics, community health workers, or health education programs, in the target population.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on key indicators, such as the number of pregnant women reached, the frequency of prenatal care visits, and health outcomes.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. This can include comparing pre- and post-intervention data, conducting statistical analyses, and identifying trends or patterns.

6. Adjust and refine: Based on the findings from the data analysis, make adjustments and refinements to the recommendations as needed to further improve access to maternal health.

7. Repeat the evaluation: Periodically repeat the evaluation process to assess the sustained impact of the recommendations and identify areas for further improvement.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and make informed decisions on how to optimize these interventions.

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