Innovative Tools and Strategies | Prevention and Clinical Management | Targets and Metrics | Strengthening Quality of Care | Global Guidelines and Local Adaptations | Focus: Small and Sick Newborns Room: Freesia Oral Abstracts
May 09, 2023 13:15 - 14:30(Africa/Johannesburg)
20230509T1315 20230509T1430 Africa/Johannesburg Prediction, Recognition, and Management of High-Risk Mothers and Infants: From Community to Facility

Measuring the Causes and Circumstances of Deaths beyond 42 Days Postpartum in Kenya, The Gambia, Malawi, and South Africa: Implications for Global Monitoring and Postpartum Care

Our previous research demonstrated that mortality remains elevated until four months postpartum in sub-Saharan Africa, but little is known about the causes of pregnancy-related deaths (PRD) beyond the standard 42-day postpartum period. This evidence gap is severe in sub-Saharan Africa, where cause of death information largely fails to meet international standards. We are now investigating the causes of deaths associated with this prolonged risk and the implications for measurement and clinical care.

Which First Trimester Risk-Estimation Method for Pre-eclampsia Is Most Suitable? A Model-Based Impact Study

Low-dose aspirin treatment reduces the risk of pre-eclampsia (PE) among high-risk pregnant women. Internationally, several risk-calculation strategies are available in the first trimester. The objective of this study was to assess costs and benefits of different first-trimester PE risk estimation algorithms - EXPECT (an algorithmic prediction model based on maternal characteristics), NICE (a checklist of risk factors), and the Fetal Medicine Foundation (a prediction model using additional uterine artery Doppler measurement and lab testing) - coupled with low-dose aspirin treatment, in comparison to no-screening, in nulliparous pregnant women.

Development of Risk-Prediction Models for Maternal and Neonatal Complications Using Machine Learning across the Continuum of Care in a Resource-Constrained Environment

To improve maternal and neonatal outcomes, health systems must identify individuals at risk to make informed decisions about priority clinical ...

Room: Freesia International Maternal Newborn Health Conference 2023 information@imnhc.org
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Measuring the Causes and Circumstances of Deaths beyond 42 Days Postpartum in Kenya, The Gambia, Malawi, and South Africa: Implications for Global Monitoring and Postpartum Care

Our previous research demonstrated that mortality remains elevated until four months postpartum in sub-Saharan Africa, but little is known about the causes of pregnancy-related deaths (PRD) beyond the standard 42-day postpartum period. This evidence gap is severe in sub-Saharan Africa, where cause of death information largely fails to meet international standards. We are now investigating the causes of deaths associated with this prolonged risk and the implications for measurement and clinical care.


Which First Trimester Risk-Estimation Method for Pre-eclampsia Is Most Suitable? A Model-Based Impact Study

Low-dose aspirin treatment reduces the risk of pre-eclampsia (PE) among high-risk pregnant women. Internationally, several risk-calculation strategies are available in the first trimester. The objective of this study was to assess costs and benefits of different first-trimester PE risk estimation algorithms - EXPECT (an algorithmic prediction model based on maternal characteristics), NICE (a checklist of risk factors), and the Fetal Medicine Foundation (a prediction model using additional uterine artery Doppler measurement and lab testing) - coupled with low-dose aspirin treatment, in comparison to no-screening, in nulliparous pregnant women.


Development of Risk-Prediction Models for Maternal and Neonatal Complications Using Machine Learning across the Continuum of Care in a Resource-Constrained Environment

To improve maternal and neonatal outcomes, health systems must identify individuals at risk to make informed decisions about priority clinical interventions and resource allocation. Our objective was to design risk stratification algorithms across the continuum of care.


Algorithms to Predict Newborn Complications in the First 28 days of Life in Eastern Uganda (N-COP Study)

Complications following preterm birth cause morbidity and mortality. Globally, newborn complications account for approximately 28% of neonatal deaths. Preemies are between six and 26 times more likely to die during the neonatal period than term newborns. Mathematical and statistical algorithms can be used to predict the risk of development of complications and adverse outcomes among preemies and can be used to drive proactive measures to anticipate, prevent, prepare management, and improve survival in the short and long run. We developed algorithms to predict newborn complications and estimate outcomes within the first 28 days of life.

Measuring the Causes and Circumstances of Deaths beyond 42 Days Postpartum in Kenya, The Gambia, Malawi, and South Africa: Implications for Global Monitoring and Postpartum Care
Single Abstract 01:15 PM - 02:30 PM (Africa/Johannesburg) 2023/05/09 11:15:00 UTC - 2023/05/09 12:30:00 UTC
None
Targets and Metrics
Global Guidelines and Local Adaptations
Presenters Ursula Gazeley
PhD Student At LSHTM, The London School Of Hygiene & Tropical Medicine (LSHTM)
Co-authors
GR
Georges Reniers
Associate Professor, The London School Of Hygiene & Tropical Medicine (LSHTM)
CC
Clara Calvert
Chancellor's Fellowships In Global Challenges, Centre For Global Health, Usher Institute, University Of Edinburgh
JR
Julio Romero Prieto
Research Fellow , The London School Of Hygiene & Tropical Medicine (LSHTM)
KH
Kobus Herbst
Director Population Science : Africa Health Research Institute & Director : DSI-SAMRC South African Population Research Infrastructure Network (SAPRIN), Africa Health Research Institute. Durban South Africa & DSI-MRC South African Population Research Infrastructure Network (SAPRIN). Durban. South Africa.
MJ
Momodou Jasseh
Demographer , Medical Research Council The Gambia At LSHTM
SK
Sammy Khagayi
Senior Data Analyst , Kenya Medical Research Institute- Center For Global Health Research, Kisumu, Kenya
VF
Veronique Filippi
London School Of Hygiene And Tropical Medicine, The London School Of Hygiene & Tropical Medicine (LSHTM)
Which First Trimester Risk-Estimation Method for Pre-eclampsia Is Most Suitable? A Model-Based Impact Study
Single Abstract 01:15 PM - 02:30 PM (Africa/Johannesburg) 2023/05/09 11:15:00 UTC - 2023/05/09 12:30:00 UTC
Innovative Tools and Strategies
Prevention and Clinical Management
Presenters Luc Smits
Professor Of Clinical Epidemiology, Maastricht University
Co-authors
LS
Lynn Strijbos
Medical Student, Maastricht University
MH
Manouk Hendrix
Gynecologist, Maastricht University Medical Centre
SA
Salwan Al-Nasiry
Gynecologist, Maastricht University Medical Centre
LS
Liesbeth Scheepers
Gynecologist, Associate Professor, Maastricht University Medical Centre
Development of Risk-Prediction Models for Maternal and Neonatal Complications Using Machine Learning across the Continuum of Care in a Resource-Constrained Environment
Single Abstract 01:15 PM - 02:30 PM (Africa/Johannesburg) 2023/05/09 11:15:00 UTC - 2023/05/09 12:30:00 UTC
Innovative Tools and Strategies
Strengthening Quality of Care
Presenters
GU
Gulnoza Usmanova
Associate Director MER , Jhpiego
Co-authors
AJ
Anunaya Jain
Country Lead Digital Health - India, Jhpiego
YJ
YASHPAL JAIN
Team Leader, Jhpiego
ET
Erica Troncoso
Digital Health,Frontier Solutions Advisor, Jhpiego
Algorithms to Predict Newborn Complications in the First 28 days of Life in Eastern Uganda (N-COP Study)
Single Abstract 01:15 PM - 02:30 PM (Africa/Johannesburg) 2023/05/09 11:15:00 UTC - 2023/05/09 12:30:00 UTC
Small and Sick Newborns (SSNB)
Targets and Metrics
Targets and Metrics
Presenters Akuze Joseph Waiswa
WHO UGANDA - Strategic Information, London School Of Hygiene & Tropical Medicine And Makerere University School Of Public Health
Co-authors
PM
Paul Mubiri
Research Fellow, Makerere University School Of Public Health
FN
Frank Namugera
Assistant Lecturer, Makerere University
GA
Geraldine Agiraembamazi
Research Fellow, Makerere University School Of Public Health
Peter Waiswa
Professor, Makerere University
NS
Nicole Santos
Researcher , University Of California San Francisco
HN
Harriet Nambuya
Paediatrician, Jinja Regional Referral Hospital
WHO UGANDA - Strategic Information
,
London School of Hygiene & Tropical Medicine and Makerere University School of Public Health
Associate Director MER
,
Jhpiego
Professor of Clinical Epidemiology
,
Maastricht University
PhD student at LSHTM
,
The London School of Hygiene & Tropical Medicine (LSHTM)
Dr. Neena Khadka Basnet
Newborn Health Focal Point
,
MOMENTUM Country and Global Leadership / Save the Children USA
Secretary
,
Ministry of Health and Population, Government of Nepal
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Which First Trimester Risk-Estimation Method fo...
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Development of Risk-Prediction Models for Mater...
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Measuring the Causes and Circumstances of Death...
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