Sanja Nel
Biographic Data
| ID | 7558618 |
|---|---|
| NAME | Sanja Nel |
| GIVEN NAMES | Sanja |
| FAMILY NAME | Nel |
| SIGNATURE | NEL S |
| AFFILIATIONS | South African Medical Research Council |
| ORCID | 0000-0003-3175-7340 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Infant Growth by Intergrowth‐21st and Fenton Growth Charts
Post-natal growth influences short- and long-term preterm infant outcomes. Different growth charts, such as the Fenton Growth Chart (FGC) and INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS), describe different growth curves and targets. This study compares FGC- and IG-PPGS-derived weight-for-postmenstrual age z-score (WZ) up to 50 weeks postmenstrual age (PMA50) for predicting 1-year anthropometry in 321 South African preterm infan…
Integrated growth assessment in the first 1000 d of life
Objectives: Prenatal growth affects short- and long-term morbidity, mortality and growth, yet communication between prenatal and postnatal healthcare teams is often minimal. This paper aims to develop an integrated, interdisciplinary framework for foetal/infant growth assessment, contributing to the continuity of care across the first 1000 d of life. Design: A multidisciplinary think-tank met regularly over many months to share and debate their p…
A novel screening tool to predict severe acute malnutrition through automated monitoring of weight‐for‐age growth curves
Weight-for-age (WFA) growth faltering often precedes severe acute malnutrition (SAM) in children, yet it is often missed during routine growth monitoring. Automated interpretation of WFA growth within electronic health records could expedite the identification of children at risk of SAM. This study aimed to develop an automated screening tool to predict SAM risk from WFA growth, and to determine its predictive ability compared with simple changes…
No prominent works on this page.
A novel screening tool to predict severe acute malnutrition through automated monitoring of weight‐for‐age growth curves
Weight-for-age (WFA) growth faltering often precedes severe acute malnutrition (SAM) in children, yet it is often missed during routine growth monitoring. Automated interpretation of WFA growth within electronic health records could expedite the identification of children at risk of SAM. This study aimed to develop an automated screening tool to predict SAM risk from WFA growth, and to determine its predictive ability compared with simple changes…
Integrated growth assessment in the first 1000 d of life
Objectives: Prenatal growth affects short- and long-term morbidity, mortality and growth, yet communication between prenatal and postnatal healthcare teams is often minimal. This paper aims to develop an integrated, interdisciplinary framework for foetal/infant growth assessment, contributing to the continuity of care across the first 1000 d of life. Design: A multidisciplinary think-tank met regularly over many months to share and debate their p…
Infant Growth by Intergrowth‐21st and Fenton Growth Charts
Post-natal growth influences short- and long-term preterm infant outcomes. Different growth charts, such as the Fenton Growth Chart (FGC) and INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS), describe different growth curves and targets. This study compares FGC- and IG-PPGS-derived weight-for-postmenstrual age z-score (WZ) up to 50 weeks postmenstrual age (PMA50) for predicting 1-year anthropometry in 321 South African preterm infan…
Child Nutrition and Water Access (3 works) · Medicine (3 works) · Pediatrics (3 works) · Computer Science (2 works) · Internal Medicine (2 works) · Malnutrition (2 works) · Pregnancy (2 works) · Anthropometry (1 works) · Area under the curve (1 works) · Artificial Intelligence (1 works)