Rationale, design and protocol of a cross-sectional study on pregnancy-related cardiovascular diseases in Tanzania (PRECARDT): Burden, characterisation and prognostic significance at delivery

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Study Justification:
– The study aims to address the lack of data on cardiovascular disease (CVD) in pregnancy in Tanzania, which has led to challenges in proper management by healthcare providers.
– By determining the prevalence of CVDs during pregnancy and their impact on maternal and fetal outcomes, the study will provide valuable information for improving healthcare for pregnant women in Tanzania.
Study Highlights:
– This is a cross-sectional study with a prospective component conducted in two referral hospitals in Tanzania.
– Pregnant women aged 18 years and older diagnosed with a CVD during the antenatal period are being identified and extensively characterized through clinical assessment, electrocardiography, echocardiography, and laboratory tests.
– The study aims to enroll a minimum sample size of 1560 to estimate the prevalence of CVDs with a 95% confidence interval of 2.75% to 5.25%.
– Ethical approvals have been obtained, and informed consent is sought from all participants.
– Study findings will be disseminated to the scientific community, policymakers, and the public through various methods.
Recommendations for Lay Readers and Policy Makers:
– The study will provide important insights into the prevalence of cardiovascular diseases in pregnant women in Tanzania and their impact on maternal and fetal outcomes.
– The findings will help healthcare providers improve the management and care of pregnant women with CVDs, leading to better health outcomes for both mothers and babies.
– Policymakers can use the study results to inform policies and guidelines for the prevention, diagnosis, and management of CVDs in pregnancy in Tanzania.
Key Role Players:
– Healthcare providers: Obstetricians, cardiologists, nurses, and other healthcare professionals involved in antenatal care and cardiac services.
– Researchers: Principal investigators, study coordinators, research nurses, and data managers.
– Ethical committees: Muhimbili University and Bugando Medical Centre Ethics Committees.
– Ministry of Health: Policy makers and officials responsible for healthcare policies and guidelines in Tanzania.
Cost Items for Planning Recommendations:
– Research personnel: Salaries and benefits for principal investigators, study coordinators, research nurses, and data managers.
– Equipment and supplies: ECG and echocardiography machines, laboratory tests, data collection tools, and storage facilities.
– Training and capacity building: Training programs for research personnel on data collection, ethical considerations, and infection prevention.
– Data management and analysis: Software licenses, data entry and analysis tools, and statistical support.
– Dissemination: Printing and distribution of research reports, conference attendance, and public release notifications.
– Ethical considerations: Costs associated with obtaining ethical approvals, informed consent processes, and maintaining participant confidentiality.
Please note that the above cost items are general categories and the actual cost estimates would depend on various factors specific to the study implementation.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong, as it clearly outlines the objectives, methods, and ethical considerations of the study. However, there are some areas where the abstract could be improved. First, it would be helpful to include information on the expected duration of the study and the number of participants enrolled so far. Additionally, providing a brief summary of the expected outcomes or potential implications of the study would enhance the abstract. Finally, including a statement on the limitations of the study would provide a more comprehensive overview.

Introduction The paucity of data describing cardiovascular disease (CVD) in pregnancy in many parts of Africa including Tanzania has given rise to challenges in proper management by the healthcare providers. This study is set out to (1) determine the prevalence of a range of CVDs during pregnancy in women attending antenatal clinics in Tanzania and (2) determine the impact of these CVDs on maternal and fetal outcomes at delivery. Methods and analysis This is a cross-sectional study with a prospective component to be conducted in two referral hospitals in Tanzania. Pregnant women aged ≥18 years diagnosed with a CVD during the antenatal period are being identified and extensively characterised by performing clinical assessment, modified WHO staging, electrocardiography, echocardiography and laboratory tests. Patients identified with CVDs (exposed) and a subset without (unexposed) will be followed up to determine maternal and fetal outcomes at delivery. A minimum sample of 1560 will be sufficient to estimate the prevalence of CVDs with a 95% CI of 2.75% to 5.25%. Ethics and dissemination The study is being conducted in accordance with the Helsinki declaration on studies involving human subjects. Ethical approvals have been obtained from Muhimbili University (reference number DA.282/298/01.C/) and Bugando Medical Centre (reference number CREC/330/2019) Ethics Committees. Informed consent is sought from all potential participants before any interview or investigations are performed. Study findings will be disseminated to the scientific community through different methods. Results will also be communicated to policymakers and to the public, as appropriate.

This will be a hospital-based cross-sectional study with a prospective component to be conducted in two centres as illustrated in figure 1. The two sites are selected to be representative of the urban and rural populations in Tanzania. Study design of cross-sectional and prospective components. BMC, Bugando Medical Centre; ECHO, echocardiogram. The study will be conducted in the ANC and Cardiac units of the two main referral Hospitals in Tanzania, namely, Muhimbili National Hospital in Dar es Salaam and Bugando Medical Centre in Mwanza located at a distance of over 1100 km (from Dar es Salaam). Dar es Salaam is composed of urban diverse ethnic groups compared with Mwanza, a cosmopolitan city with mixture of different ethnic rural groups. Muhimbili National Hospital is a national and teaching hospital located in the largest City of the Country, Dar es Salaam region, serving mainly the urban and the referred populations. The hospital has ANC services and is closely linked to cardiology services at Jakaya Kikwete Cardiac Institute, within the same campus. An average of 80 pregnant women attend the clinic daily, and 80% of them attend in view of their current pregnancy while 20% are post-natal follow-ups. Bugando Medical Centre is the second referral consultant and University Teaching Hospital in Tanzania. It is a referral centre for tertiary specialist care for eight regions and serves a catchment population of approximately 18 million people. It mainly serves a rural population. The hospital has both antenatal clinic and cardiology clinics. About 80 pregnant women attend the clinic daily, which is run on 5 days a week. At each clinic, up to 30 pregnant women per day are attending for their first time. As per National guidelines, pregnant women in Tanzania are required to start ANC visits as soon as possible in the first trimester of pregnancy (though many of them come at different stages of pregnancy) and are followed-up to delivery. The first participant was enrolled in October 2019 and we expect the follow-up of the last enrolled participant to end in May 2021. The inclusion and exclusion criteria are presented in table 2. Study population, inclusion and exclusion criteria ANC, antenatal clinics. Assuming the prevalence of CVDs in pregnant women to be as high as the 4% reported in HIC,4 5 then a sample size of 945 will be sufficient to estimate the prevalence of CVDs with a 95% CI of 2.75% to 5.25%. Recruitment will be from one rural and one urban site, thus the prevalence of CVDs could vary by site and so to account for this, by assuming a design effect of 1.5% and 10% loss to follow-up, a minimum sample size of 1560 will be enrolled. Prevalence of CVDs in pregnant women visiting ANC in Tanzania Every sampled pregnant woman ≥18 years at any gestation age visiting the ANC will be given opportunity to consent her participation into the study, as shown in figure 2. Weekly flow of pregnant women-identification and enrollment of participants. ANC, antenatal clinics; CVD, cardiovascular disease; ECHO, echocardiogram. At the ANC, all consenting eligible consecutive pregnant women will be interviewed and examined for sociodemographic and baseline clinical characteristics such as age, education level, occupation, blood group, history of any CVDs, smoking and alcohol consumption, chronic hypertension, HIV status, gestation age, parity, prior surgery or cardiac intervention, use of medication and known/documented comorbidities such as renal disease, and diabetes. At the cardiology clinic, detailed examination of the CVDs will include both ECG and an echocardiogram (ECHO) examination for all recruited women. Women with CVDs will be further stratified into four risk groups using a modified WHO risk classification for pregnant women with cardiac disease (figure 3). The WHO risk stratification tool is based on the disease severity and has a prediction value in the management of pregnant women. Depending on the diagnosis and severity of the disease, risk classification will range from class I (low risk) to class IV (contraindication for pregnancy), as used in the ESC Guidelines on the management of CVD during pregnancy.4 Modified WHO risk stratification. RHD, rheumatic heart disease. In all eligible pregnant women, blood will be collected for full blood count. The serum will be stored with the consent of participants, for up to 10 years after study completion for further tests (including genetic studies related to CVD or pregnancy) that may emerge in the future. A standard 12-lead ECG will be obtained in all eligible pregnant women referred to the cardiology unit from the ANC, being in supine position, in a quiet room, using PHILIPS machine (Pager, Trim III). Recording will be done with standard ECG paper at a speed of 25 mm/s and calibration of 10 mm/mV standardisation. Echocardiography will be initially performed in every pregnant woman prior to assigning into ‘exposed/unexposed’ groups using General Electric Vivid V.5 with a 2.5–5 MHz probe Trans-thoracic, M-mode, two-dimensional and tissue Doppler imaging (TDI) by an experienced echocardiographer. The focus will be on assessment of both the left ventricular dimensions and function. In particular, diastology will be an important aspect of the comprehensive echocardiographic assessment of these patients. Echocardiographic indices of diastolic dysfunction will include TDI, mitral diastolic flow profile and increased left atrial filling pressures.31 The ECG/ECHO findings will be interpreted by the author, reviewed and approved by a second senior and experienced cardiologist (A). Data on ECG and ECHO will be stored in hard disks/Compact Discs (CDs) in an access-controlled area, and it will be easily retrieved and backed up to allow an independent evaluation of 15% of the cases by another experienced cardiologist (B). In case of disagreement of the findings between (A) and (B), a third senior consultant cardiologist (C) will be asked to review the ECHOs and provide the conclusion, taking into consideration both the clinical presentation and the ECHO findings. As the ECHO machines are of similar General Electric (GE) models, the sonoechocardiographers will be trained on standardised image acquisitions, and we will perform monthly quality control for the two sites. The study will involve follow-up of all pregnant women identified with CVDs versus a subset of those without, for MACO and FACE at delivery. Pregnant woman’s CVD/no-CVD status will be defined at enrolment, and any incident CVD during the follow-up period will not count for the purpose of assigning participants into the two groups. However, any incident CVD event will be documented on the case report forms (CRF). All pregnant women identified with CVDs in the main study will be selected and considered as exposed patients. Pregnant women identified without CVD events in the main study will form a pool of unexposed (figure 4). Matching by age (±5 years) and gestation age (rounded to 1 month) will be applied to identify the unexposed, two times the number of cases using simple random numbers generated using preset seeds. For each exposed case identified, a list of pregnant mothers meeting the criteria for matching with the index case will be prepared from which unexposed pregnant women will be selected. The unexposed participants will be selected if the list contains at least three times the number of each index exposed case, otherwise, unexposed women will be selected among the pool of unexposed individuals in the next clinical visit. Unexposed women (among those not yet delivered) will be selected immediately on identification of the corresponding exposed women. Identification of exposed and unexposed women and outcomes at delivery. CVD, cardiovascular disease; FACE, fetal adverse clinical event; MACE, major adverse cardiac event. Women whose pregnancies are terminated for any reason before delivery will have no further follow-up, but information on termination will be kept as an additional outcome measure. Clinical follow-up visits will be performed at delivery to establish any events of MACO and FACE (table 3). For participants who will not deliver at the recruiting hospital, follow-up data will be obtained by making phone contacts and physical follow-up (at the hospital of delivery) by a research nurse and study coordinators. Also, all enrolled mothers will be encouraged to receive their health services at the index hospital. In case of attendance elsewhere, they should have a phone number for the research clinician and nurse to send the message for any event, leading to birth (ie, labour). Visit/data collection measurement schedule To be collected in all exposed women (with CVDs) and in a subset of unexposed women (without CVDs). CVD, cardiovascular disease; ECHO, echocardiogram; FACE, fetal adverse clinical event; MACE, major adverse cardiac event. A research nurse will make monthly phone follow-up calls to all women with CVDs and a subset of those without (unexposed), until delivery to maintain a close contact with our team and determine whether there is any change in the expected date/place of delivery. Once mothers are admitted in labour, they will be encouraged to send message/calls to the research nurse. The research team will also arrange with the labour ward nurses to be contacted anytime a mother recruited into the study (determined by an identifiable study label on antenatal card) is admitted to the ward for delivery. Once contacted, the research nurse will follow-up the mother on the ward and precisely capture the maternal and fetal outcomes. Additionally, study nurses will visit the labour wards of the two hospitals daily to actively identify any study participant in labour. All pregnant women will be asked to provide their phone contacts as well as those of two close relatives/neighbours to ensure effective communication, including being unable to report for delivery at the primary hospitals. Database management and statistical analyses will be performed with STATA software, V.13 and using the statistical software R (https://cran.r-project.org/). Continuous data will be expressed as mean±SD if normally distributed or median with range/IQR if non-normally distributed. Comparison of means and proportions between subgroups at baseline will be performed using the Student-t, χ2 Fisher’s or Wilcoxon rank-sum test statistics where appropriate. Categorical variables (primary and secondary) will be summarised using frequencies and percentages. Independent t test will be performed on secondary measures. The association between binary secondary response variable (eg, MACO) and independent predictors will be assessed using logistic regression model. The study secondary endpoints (MACO and FACE) will be taken as composite endpoints, and they will not be detailed for their separate diagnoses due to the limited sample size. Continuous variables will be assessed for normality assumptions, and where required, appropriate transformation will be done, and their association with independent predictors will be assessed using linear regression model. Interaction between independent variables will be explored during assessment of model adequacy. Statistical significance is defined as p<0.05. The analysis will follow a prespecified statistical analysis plan. Data will first be captured on paper CRFs designed for the study, then entered into a specifically developed web-based (REDCap) platform for this project, at both sites. For quality control purposes, there will be double data entry with checks in 15% of the CRFs. If a participant withdraws from the study, all medical record information related to her/him will be destroyed only if the participant asks that all information be withdrawn. If a participant does not request that all their information be destroyed, but to withdraw from future participation only, then any information collected prior to the withdrawal will be maintained. The principal investigator (PI) will be responsible for ensuring that the data collected are complete, accurate and recorded in a timely manner. All consent forms will be kept in a locker (with a lock and Key) in the consent room. All patients will receive a study ID and the corresponding name only known to the site coordinator. The consent forms and CRFs will be collected by the site PI from the lockers to Muhimbili University (MUHAS) office where they will be stored. The exposed to the corresponding non-exposed will be linked through a unique ID number. The confidentiality of study participants will be protected by randomly assigning individual identifiers, which will be linkable to identifying information. All data will be anonymised. Ethical approval has been obtained from the MUHAS (reference number DA.282/298/01.C/) and the Bugando Medical Centre (reference number CREC/330/2019) Ethics Committees. Informed consent (signed or thumb-printed) is being sought from all potential participants before any interviews or investigations are performed. Refusal to participate in the study does not, in any way, affect the management of the patient. Individuals who are not eligible for inclusion into the study are being referred back to their health facility for follow-up or are seen at the cardiac clinic as per normal protocols. Withdrawal from the study at any time lies within the participant’s discretion and does not hinder the individual’s right to appropriate healthcare. As the ANC is closely linked to cardiac clinic in the same hospital, women with CVDs are followed-up at the same cardiac clinic as per standard of care. Consent and ethical approval are sought from the study participants for storing the serum for 10 years after the study, or future tests (including genetic studies related to CVD or pregnancy). Personal and medical information identifying the participant (with the sample) are kept confidential. The findings will be disseminated in several forms (a) feedback research reports to the health facility sites and to the funder GlaxoSmithKline (GSK), (b) faculty symposium, research reports and journal club presentation in the participating hospitals, (C) research reports to the Ministry of Health in Tanzania, (d) abstract presentation in local and international conferences, (e) university website announcement, (f) journal publications, (g) public release notification in media and research bulletin. Both ECG and ECHO investigations are non-invasive and carry no potential risk to the participants. During drawing of blood, participants may experience mild pain and/or swelling at the puncture site, and occasionally the puncture site could be infected. To minimise any risk, research nurse assistants have been trained on proper and sterile blood drawing procedures as well as trained to adhere to infection prevention and control procedures. Participants of this study gave their feedback regarding the data collection tools as part of their participation in the study. Feedbacks were given after data piloting

The study mentioned in the provided text aims to improve access to maternal health by conducting a cross-sectional study on pregnancy-related cardiovascular diseases in Tanzania. The study has the following innovations:

1. Comprehensive Characterization: The study will extensively characterize pregnant women with cardiovascular diseases by performing clinical assessments, modified WHO staging, electrocardiography, echocardiography, and laboratory tests. This comprehensive approach will provide a detailed understanding of the prevalence and impact of cardiovascular diseases during pregnancy.

2. Prospective Component: In addition to the cross-sectional component, the study includes a prospective follow-up of pregnant women with cardiovascular diseases and a subset without cardiovascular diseases. This longitudinal approach will allow for the assessment of maternal and fetal outcomes at delivery, providing valuable insights into the impact of cardiovascular diseases on pregnancy.

3. Representative Sample: The study will be conducted in two referral hospitals in Tanzania, one in an urban area and one in a rural area. This selection aims to ensure that the study sample represents the diverse population of Tanzania, improving the generalizability of the findings.

4. Ethical Considerations: The study has obtained ethical approvals from the relevant committees and seeks informed consent from all participants before any interviews or investigations are performed. The confidentiality of study participants is protected through anonymization of data and secure storage of personal and medical information.

5. Dissemination of Findings: The study aims to disseminate its findings to the scientific community, policymakers, and the public through various channels, including research reports, presentations at conferences, journal publications, and public release notifications. This ensures that the knowledge gained from the study reaches relevant stakeholders and contributes to improving maternal health.

These innovations contribute to improving access to maternal health by generating evidence on the prevalence, characterization, and impact of cardiovascular diseases during pregnancy in Tanzania. The findings can inform healthcare providers, policymakers, and researchers in developing effective strategies for the management and prevention of pregnancy-related cardiovascular diseases.
AI Innovations Description
The recommendation to improve access to maternal health based on the described study is to develop innovative strategies for early detection and management of cardiovascular diseases (CVDs) during pregnancy in Tanzania. This can be achieved through the following steps:

1. Strengthening Antenatal Care (ANC) Services: Enhance the capacity of ANC clinics in Tanzania to identify and manage CVDs during pregnancy. This can include training healthcare providers on the early signs and symptoms of CVDs, as well as providing them with the necessary tools and resources for accurate diagnosis and treatment.

2. Implementing Screening Programs: Develop and implement screening programs to identify pregnant women at risk of CVDs. This can involve conducting regular screenings for high blood pressure, diabetes, and other risk factors associated with CVDs. Early detection can lead to timely interventions and improved outcomes for both the mother and the baby.

3. Improving Referral Systems: Establish effective referral systems between ANC clinics and specialized cardiac units in referral hospitals. This will ensure that pregnant women with CVDs receive appropriate and timely care from healthcare providers with expertise in managing cardiovascular conditions during pregnancy.

4. Enhancing Health Education: Provide comprehensive health education to pregnant women and their families about the importance of early detection and management of CVDs during pregnancy. This can include raising awareness about the signs and symptoms of CVDs, promoting healthy lifestyle choices, and encouraging regular ANC visits.

5. Utilizing Telemedicine and Mobile Health Technologies: Explore the use of telemedicine and mobile health technologies to improve access to specialized care for pregnant women with CVDs, particularly those in remote or underserved areas. This can involve virtual consultations, remote monitoring of vital signs, and the use of mobile applications for health education and self-management.

By implementing these recommendations, access to maternal health can be improved by ensuring early detection and appropriate management of cardiovascular diseases during pregnancy in Tanzania. This will contribute to better maternal and fetal outcomes and reduce the burden of CVDs on healthcare providers and the healthcare system as a whole.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Mobile Clinics: Implement mobile clinics equipped with necessary medical equipment and staffed with healthcare professionals to reach remote areas and provide maternal health services to women who have limited access to healthcare facilities.

2. Telemedicine: Establish telemedicine services to provide remote consultations and medical advice to pregnant women, especially those living in rural areas. This can help overcome geographical barriers and provide timely healthcare support.

3. Community Health Workers: Train and deploy community health workers who can provide basic maternal health services, education, and support to pregnant women in their communities. These workers can also help identify high-risk pregnancies and refer women to appropriate healthcare facilities.

4. Health Education Programs: Develop and implement health education programs that focus on maternal health, including prenatal care, nutrition, and safe delivery practices. These programs can be conducted in community settings, schools, and healthcare facilities to reach a wider audience.

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 will 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, including the number of healthcare facilities, distance to the nearest facility, and utilization rates. This data will serve as a baseline for comparison.

3. Simulate the implementation of recommendations: Use modeling techniques to simulate the implementation of the recommended interventions. This could involve estimating the number of mobile clinics needed, the coverage of telemedicine services, or the number of community health workers required.

4. Assess the impact: Evaluate the impact of the simulated interventions on access to maternal health services. This could include measuring changes in the number of women receiving prenatal care, the distance traveled to access healthcare, or the number of high-risk pregnancies identified and managed.

5. Analyze cost-effectiveness: Assess the cost-effectiveness of the recommended interventions by comparing the costs of implementation to the improvements in access to maternal health services. This analysis can help prioritize interventions based on their potential impact and resource requirements.

6. Refine and adjust recommendations: Based on the simulation results, refine and adjust the recommendations as needed to optimize their impact on improving access to maternal health.

7. Monitor and evaluate: Continuously monitor and evaluate the implemented interventions to track their effectiveness and make further adjustments if necessary. This can involve collecting data on key indicators, conducting surveys or interviews with beneficiaries, and seeking feedback from healthcare providers and community members.

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