Cargando…
Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan
OBJECTIVE: To estimate the prevalence and prognosis of proteinuria at enrolment in the 27 intervention clusters of the Community-Level Interventions for Pre-eclampsia cluster randomized trials. METHODS: We identified pregnant women eligible for inclusion in the trials in their communities in four co...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
World Health Organization
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652559/ https://www.ncbi.nlm.nih.gov/pubmed/33177756 http://dx.doi.org/10.2471/BLT.19.248898 |
_version_ | 1783607713841807360 |
---|---|
author | Magee, Laura A Sharma, Sumedha Sevene, Esperança Qureshi, Rahat N Mallapur, Ashalata Macuácua, Salésio E Goudar, Shivaprasad Bellad, Mrutunjaya B Adetoro, Olalekan O Payne, Beth A Sotunsa, John Valá, Anifa Bone, Jeffrey Shennan, Andrew H Vidler, Marianne Bhutta, Zulfiqar A von Dadelszen, Peter |
author_facet | Magee, Laura A Sharma, Sumedha Sevene, Esperança Qureshi, Rahat N Mallapur, Ashalata Macuácua, Salésio E Goudar, Shivaprasad Bellad, Mrutunjaya B Adetoro, Olalekan O Payne, Beth A Sotunsa, John Valá, Anifa Bone, Jeffrey Shennan, Andrew H Vidler, Marianne Bhutta, Zulfiqar A von Dadelszen, Peter |
author_sort | Magee, Laura A |
collection | PubMed |
description | OBJECTIVE: To estimate the prevalence and prognosis of proteinuria at enrolment in the 27 intervention clusters of the Community-Level Interventions for Pre-eclampsia cluster randomized trials. METHODS: We identified pregnant women eligible for inclusion in the trials in their communities in four countries (2013–2017). We included women who delivered by trial end and received an intervention antenatal care visit. The intervention was a community health worker providing supplementary hypertension-oriented care, including proteinuria assessment by visual assessment of urinary dipstick at the first visit and all subsequent visits when hypertension was detected. In a multilevel regression model, we compared baseline prevalence of proteinuria (≥ 1+ or ≥ 2+) across countries. We compared the incidence of subsequent complications by baseline proteinuria. FINDINGS: Baseline proteinuria was detected in less than 5% of eligible pregnancies in each country (India: 234/6120; Mozambique: 94/4234; Nigeria: 286/7004; Pakistan: 315/10 885), almost always with normotension (India: 225/234; Mozambique: 93/94; Nigeria: 241/286; Pakistan: 264/315). There was no consistent relationship between baseline proteinuria (either ≥ 1+ or ≥ 2+) and progression to hypertension, maternal mortality or morbidity, birth at < 37 weeks, caesarean section delivery or perinatal mortality or morbidity. If proteinuria testing were restricted to women with hypertension, we projected annual cost savings of 153 223 981 United States dollars (US$) in India, US$ 9 055 286 in Mozambique, US$ 53 181 933 in Nigeria and US$ 38 828 746 in Pakistan. CONCLUSION: Our findings question the recommendations to routinely evaluate proteinuria at first assessment in pregnancy. Restricting proteinuria testing to pregnant women with hypertension has the potential to save resources. |
format | Online Article Text |
id | pubmed-7652559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | World Health Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-76525592020-11-10 Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan Magee, Laura A Sharma, Sumedha Sevene, Esperança Qureshi, Rahat N Mallapur, Ashalata Macuácua, Salésio E Goudar, Shivaprasad Bellad, Mrutunjaya B Adetoro, Olalekan O Payne, Beth A Sotunsa, John Valá, Anifa Bone, Jeffrey Shennan, Andrew H Vidler, Marianne Bhutta, Zulfiqar A von Dadelszen, Peter Bull World Health Organ Research OBJECTIVE: To estimate the prevalence and prognosis of proteinuria at enrolment in the 27 intervention clusters of the Community-Level Interventions for Pre-eclampsia cluster randomized trials. METHODS: We identified pregnant women eligible for inclusion in the trials in their communities in four countries (2013–2017). We included women who delivered by trial end and received an intervention antenatal care visit. The intervention was a community health worker providing supplementary hypertension-oriented care, including proteinuria assessment by visual assessment of urinary dipstick at the first visit and all subsequent visits when hypertension was detected. In a multilevel regression model, we compared baseline prevalence of proteinuria (≥ 1+ or ≥ 2+) across countries. We compared the incidence of subsequent complications by baseline proteinuria. FINDINGS: Baseline proteinuria was detected in less than 5% of eligible pregnancies in each country (India: 234/6120; Mozambique: 94/4234; Nigeria: 286/7004; Pakistan: 315/10 885), almost always with normotension (India: 225/234; Mozambique: 93/94; Nigeria: 241/286; Pakistan: 264/315). There was no consistent relationship between baseline proteinuria (either ≥ 1+ or ≥ 2+) and progression to hypertension, maternal mortality or morbidity, birth at < 37 weeks, caesarean section delivery or perinatal mortality or morbidity. If proteinuria testing were restricted to women with hypertension, we projected annual cost savings of 153 223 981 United States dollars (US$) in India, US$ 9 055 286 in Mozambique, US$ 53 181 933 in Nigeria and US$ 38 828 746 in Pakistan. CONCLUSION: Our findings question the recommendations to routinely evaluate proteinuria at first assessment in pregnancy. Restricting proteinuria testing to pregnant women with hypertension has the potential to save resources. World Health Organization 2020-10-01 2020-09-09 /pmc/articles/PMC7652559/ /pubmed/33177756 http://dx.doi.org/10.2471/BLT.19.248898 Text en (c) 2020 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Research Magee, Laura A Sharma, Sumedha Sevene, Esperança Qureshi, Rahat N Mallapur, Ashalata Macuácua, Salésio E Goudar, Shivaprasad Bellad, Mrutunjaya B Adetoro, Olalekan O Payne, Beth A Sotunsa, John Valá, Anifa Bone, Jeffrey Shennan, Andrew H Vidler, Marianne Bhutta, Zulfiqar A von Dadelszen, Peter Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title | Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title_full | Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title_fullStr | Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title_full_unstemmed | Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title_short | Population-level data on antenatal screening for proteinuria; India, Mozambique, Nigeria, Pakistan |
title_sort | population-level data on antenatal screening for proteinuria; india, mozambique, nigeria, pakistan |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652559/ https://www.ncbi.nlm.nih.gov/pubmed/33177756 http://dx.doi.org/10.2471/BLT.19.248898 |
work_keys_str_mv | AT mageelauraa populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT sharmasumedha populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT seveneesperanca populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT qureshirahatn populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT mallapurashalata populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT macuacuasalesioe populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT goudarshivaprasad populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT belladmrutunjayab populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT adetoroolalekano populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT paynebetha populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT sotunsajohn populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT valaanifa populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT bonejeffrey populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT shennanandrewh populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT vidlermarianne populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT bhuttazulfiqara populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT vondadelszenpeter populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan AT populationleveldataonantenatalscreeningforproteinuriaindiamozambiquenigeriapakistan |