Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.

Because of its propensity to sequester in the placental intervillous space, Plasmodium falciparum can evade detection by peripheral smear in women with placental malaria (PM). We evaluated host biomarkers as potential indicators of occult PM infections.Using a case-control design, we evaluated the a...

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Main Authors: Andrea L Conroy, W Conrad Liles, Malcolm E Molyneux, Stephen J Rogerson, Kevin C Kain
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3236186?pdf=render
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author Andrea L Conroy
W Conrad Liles
Malcolm E Molyneux
Stephen J Rogerson
Kevin C Kain
author_facet Andrea L Conroy
W Conrad Liles
Malcolm E Molyneux
Stephen J Rogerson
Kevin C Kain
author_sort Andrea L Conroy
collection DOAJ
description Because of its propensity to sequester in the placental intervillous space, Plasmodium falciparum can evade detection by peripheral smear in women with placental malaria (PM). We evaluated host biomarkers as potential indicators of occult PM infections.Using a case-control design, we evaluated the ability of biomarkers to identify PM in the absence of circulating peripheral parasites (n = 24) compared to placental smear-negative controls (n = 326). We measured levels of biomarkers (C3a, C5a, CRP, angiopoietin-1, angiopoietin-2, sTie-2, sEndoglin, VEGF, sFlt-1, tissue factor, and leptin) in maternal peripheral plasma at delivery. Using ROC curve analysis, we assessed the ability of clinical parameters and biomarkers to accurately detect PM infections identified by placental smear. We show that decreases in sFlt-1 and leptin and increases in CRP were associated with occult PM infections (p<0.01) and correlated with placental parasitaemia (p<0.01). Individually, all markers had moderate ability to diagnose occult PM infections with areas under the ROC between 0.62 and 0.72. In order to improve diagnostic performance, we generated simple scoring systems to identify PM infections using either a clinical score (0-2), a biomarker score (0-3) or a clinical plus biomarker score (0-5). The combinatorial model that incorporated both clinical parameters and biomarkers had an area under curve (AUC) of 0.85 (95% CI, 0.81-0.89), which was significantly better at identifying occult PM infections than the clinical score alone (p = 0.001).These data suggest that host biomarkers in the maternal peripheral blood may improve the detection of PM in the absence of peripheral parasitaemia.
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spelling doaj.art-d6d570c7aa34401d888c4ef3da6e89d32022-12-21T22:33:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-01612e2854010.1371/journal.pone.0028540Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.Andrea L ConroyW Conrad LilesMalcolm E MolyneuxStephen J RogersonKevin C KainBecause of its propensity to sequester in the placental intervillous space, Plasmodium falciparum can evade detection by peripheral smear in women with placental malaria (PM). We evaluated host biomarkers as potential indicators of occult PM infections.Using a case-control design, we evaluated the ability of biomarkers to identify PM in the absence of circulating peripheral parasites (n = 24) compared to placental smear-negative controls (n = 326). We measured levels of biomarkers (C3a, C5a, CRP, angiopoietin-1, angiopoietin-2, sTie-2, sEndoglin, VEGF, sFlt-1, tissue factor, and leptin) in maternal peripheral plasma at delivery. Using ROC curve analysis, we assessed the ability of clinical parameters and biomarkers to accurately detect PM infections identified by placental smear. We show that decreases in sFlt-1 and leptin and increases in CRP were associated with occult PM infections (p<0.01) and correlated with placental parasitaemia (p<0.01). Individually, all markers had moderate ability to diagnose occult PM infections with areas under the ROC between 0.62 and 0.72. In order to improve diagnostic performance, we generated simple scoring systems to identify PM infections using either a clinical score (0-2), a biomarker score (0-3) or a clinical plus biomarker score (0-5). The combinatorial model that incorporated both clinical parameters and biomarkers had an area under curve (AUC) of 0.85 (95% CI, 0.81-0.89), which was significantly better at identifying occult PM infections than the clinical score alone (p = 0.001).These data suggest that host biomarkers in the maternal peripheral blood may improve the detection of PM in the absence of peripheral parasitaemia.http://europepmc.org/articles/PMC3236186?pdf=render
spellingShingle Andrea L Conroy
W Conrad Liles
Malcolm E Molyneux
Stephen J Rogerson
Kevin C Kain
Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
PLoS ONE
title Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
title_full Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
title_fullStr Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
title_full_unstemmed Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
title_short Performance characteristics of combinations of host biomarkers to identify women with occult placental malaria: a case-control study from Malawi.
title_sort performance characteristics of combinations of host biomarkers to identify women with occult placental malaria a case control study from malawi
url http://europepmc.org/articles/PMC3236186?pdf=render
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