- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04058405
Risk Prediction Models for Adverse Maternal and Neonatal Outcomes in Preeclampsia
Statistical Risk Prediction Models for Adverse Maternal and Neonatal Outcomes in Severe Preeclampsia in a Low-resource Setting, Mpilo Central Hospital, Bulawayo, Zimbabwe.
Study Overview
Detailed Description
Hypertensive disorders in pregnancy are a leading cause of maternal and perinatal morbidity and mortality, especially in low-resource settings. Identifying mothers and babies at greatest risk of complications would enable intervention to be targeted to those most likely to benefit from them. However, current risk prediction models have a wide range of sensitivity (42-81%) and specificity (87-92%) indicating that improvements are needed. Furthermore, no predictive models have been developed or evaluated in Zimbabwe.
This proposal describes a single centre retrospective cross-sectional study which will address the need to further develop and test statistical risk prediction models for adverse maternal and neonatal outcomes in low-resource settings; this will be the first such research to be carried out in Zimbabwe.
Data will be collected on maternal demographics characteristics, outcome of prior pregnancies, past medical history, symptoms and signs on admission, results of biochemical and haematological investigations. Adverse outcome will be defined as a composite of maternal morbidity and mortality and perinatal morbidity and mortality. Association between variables and outcomes will be explored using multivariable logistic regression.
Critically, new risk prediction models introduced for our clinical setting may reduce avoidable maternal and neonatal morbidity and mortality at local, national, regional and international level.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Matabeleland
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Bulawayo, Matabeleland, Zimbabwe, +263
- Mpilo Central Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Participants will be included in the study if they have a diagnosis of severe preeclampsia.
- Severe preeclampsia will be defined as high blood pressure (systolic blood pressure (SBP) ≥160, diastolic blood pressure(DBP) ≥110mmHg) and or either severe headaches, epigastric pains and deranged biochemical/haematological blood indices.
- Both singleton and twin/higher order pregnancies will be included.
Exclusion Criteria:
-Women with mild or moderate preeclampsia or less than 20 weeks' of gestation and those with epilepsy will be excluded from the study.
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Retrospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Maternal death
Time Frame: 3 years
|
Binary outcomes
|
3 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: SOLWAYO NGWENYA, PhD, FRCOG, Mpilo Central Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MpiloCH
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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