Rapid antigen detection tests for malaria diagnosis in severely ill Papua New Guinean children: a comparative study using Bayesian latent class models
Although rapid diagnostic tests (RDTs) have practical advantages over light microscopy (LM) and good sensitivity in severe falciparum malaria in Africa, their utility where severe non-falciparum malaria occurs is unknown. LM, RDTs and polymerase chain reaction (PCR)-based methods have limitations, a...
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description | Although rapid diagnostic tests (RDTs) have practical advantages over light microscopy (LM) and good sensitivity in severe falciparum malaria in Africa, their utility where severe non-falciparum malaria occurs is unknown. LM, RDTs and polymerase chain reaction (PCR)-based methods have limitations, and thus conventional comparative malaria diagnostic studies employ imperfect gold standards. We assessed whether, using Bayesian latent class models (LCMs) which do not require a reference method, RDTs could safely direct initial anti-infective therapy in severe ill children from an area of hyperendemic transmission of both Plasmodium falciparum and P. vivax.
We studied 797 Papua New Guinean children hospitalized with well-characterized severe illness for whom LM, RDT and nested PCR (nPCR) results were available. For any severe malaria, the estimated prevalence was 47.5% with RDTs exhibiting similar sensitivity and negative predictive value (NPV) to nPCR (≥96.0%). LM was the least sensitive test (87.4%) and had the lowest NPV (89.7%), but had the highest specificity (99.1%) and positive predictive value (98.9%). For severe falciparum malaria (prevalence 42.9%), the findings were similar. For non-falciparum severe malaria (prevalence 6.9%), no test had the WHO-recommended sensitivity and specificity of >95% and >90%, respectively. RDTs were the least sensitive (69.6%) and had the lowest NPV (96.7%).
RDTs appear a valuable point-of-care test that is at least equivalent to LM in diagnosing severe falciparum malaria in this epidemiologic situation. None of the tests had the required sensitivity/specificity for severe non-falciparum malaria but the number of false-negative RDTs in this group was small. |
doi_str_mv | 10.1371/journal.pone.0048701 |
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We studied 797 Papua New Guinean children hospitalized with well-characterized severe illness for whom LM, RDT and nested PCR (nPCR) results were available. For any severe malaria, the estimated prevalence was 47.5% with RDTs exhibiting similar sensitivity and negative predictive value (NPV) to nPCR (≥96.0%). LM was the least sensitive test (87.4%) and had the lowest NPV (89.7%), but had the highest specificity (99.1%) and positive predictive value (98.9%). For severe falciparum malaria (prevalence 42.9%), the findings were similar. For non-falciparum severe malaria (prevalence 6.9%), no test had the WHO-recommended sensitivity and specificity of >95% and >90%, respectively. RDTs were the least sensitive (69.6%) and had the lowest NPV (96.7%).
RDTs appear a valuable point-of-care test that is at least equivalent to LM in diagnosing severe falciparum malaria in this epidemiologic situation. None of the tests had the required sensitivity/specificity for severe non-falciparum malaria but the number of false-negative RDTs in this group was small.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0048701</identifier><identifier>PMID: 23144935</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Antigens ; Antigens, Protozoan - immunology ; Bayes Theorem ; Bayesian analysis ; Child, Preschool ; Children ; Comparative studies ; Diagnostic systems ; Diagnostic tests ; Disease ; Epidemiology ; Erythrocytes ; Female ; Hospitals ; Humans ; Immunologic Tests ; Infant ; Infections ; Latent class analysis ; Light microscopy ; Malaria ; Malaria - diagnosis ; Male ; Markov Chains ; Mathematical models ; Medical diagnosis ; Medical research ; Medical tests ; Medicine ; Microscopy ; Monte Carlo Method ; Mortality ; Papua New Guinea ; Parasites ; Pharmacology ; Plasmodium ; Plasmodium falciparum ; Plasmodium falciparum - immunology ; Plasmodium vivax ; Plasmodium vivax - immunology ; Polymerase chain reaction ; Sensitivity ; Sensitivity and Specificity ; Studies ; Vector-borne diseases</subject><ispartof>PloS one, 2012-11, Vol.7 (11), p.e48701-e48701</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Manning et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2012 Manning et al 2012 Manning et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c717t-6d6c82c1dde020505543ab43d5f21a994cae6e905a5a2bb5ae1b66a790dd4ce3</citedby><cites>FETCH-LOGICAL-c717t-6d6c82c1dde020505543ab43d5f21a994cae6e905a5a2bb5ae1b66a790dd4ce3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489828/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489828/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23849,27907,27908,53774,53776,79351,79352</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23144935$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Stoute, Jose Antonio</contributor><creatorcontrib>Manning, Laurens</creatorcontrib><creatorcontrib>Laman, Moses</creatorcontrib><creatorcontrib>Rosanas-Urgell, Anna</creatorcontrib><creatorcontrib>Turlach, Berwin</creatorcontrib><creatorcontrib>Aipit, Susan</creatorcontrib><creatorcontrib>Bona, Cathy</creatorcontrib><creatorcontrib>Warrell, Jonathan</creatorcontrib><creatorcontrib>Siba, Peter</creatorcontrib><creatorcontrib>Mueller, Ivo</creatorcontrib><creatorcontrib>Davis, Timothy M E</creatorcontrib><title>Rapid antigen detection tests for malaria diagnosis in severely ill Papua New Guinean children: a comparative study using Bayesian latent class models</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Although rapid diagnostic tests (RDTs) have practical advantages over light microscopy (LM) and good sensitivity in severe falciparum malaria in Africa, their utility where severe non-falciparum malaria occurs is unknown. LM, RDTs and polymerase chain reaction (PCR)-based methods have limitations, and thus conventional comparative malaria diagnostic studies employ imperfect gold standards. We assessed whether, using Bayesian latent class models (LCMs) which do not require a reference method, RDTs could safely direct initial anti-infective therapy in severe ill children from an area of hyperendemic transmission of both Plasmodium falciparum and P. vivax.
We studied 797 Papua New Guinean children hospitalized with well-characterized severe illness for whom LM, RDT and nested PCR (nPCR) results were available. For any severe malaria, the estimated prevalence was 47.5% with RDTs exhibiting similar sensitivity and negative predictive value (NPV) to nPCR (≥96.0%). LM was the least sensitive test (87.4%) and had the lowest NPV (89.7%), but had the highest specificity (99.1%) and positive predictive value (98.9%). For severe falciparum malaria (prevalence 42.9%), the findings were similar. For non-falciparum severe malaria (prevalence 6.9%), no test had the WHO-recommended sensitivity and specificity of >95% and >90%, respectively. RDTs were the least sensitive (69.6%) and had the lowest NPV (96.7%).
RDTs appear a valuable point-of-care test that is at least equivalent to LM in diagnosing severe falciparum malaria in this epidemiologic situation. None of the tests had the required sensitivity/specificity for severe non-falciparum malaria but the number of false-negative RDTs in this group was small.</description><subject>Antigens</subject><subject>Antigens, Protozoan - immunology</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Comparative studies</subject><subject>Diagnostic systems</subject><subject>Diagnostic tests</subject><subject>Disease</subject><subject>Epidemiology</subject><subject>Erythrocytes</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunologic Tests</subject><subject>Infant</subject><subject>Infections</subject><subject>Latent class analysis</subject><subject>Light microscopy</subject><subject>Malaria</subject><subject>Malaria - diagnosis</subject><subject>Male</subject><subject>Markov Chains</subject><subject>Mathematical models</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medical tests</subject><subject>Medicine</subject><subject>Microscopy</subject><subject>Monte Carlo Method</subject><subject>Mortality</subject><subject>Papua New Guinea</subject><subject>Parasites</subject><subject>Pharmacology</subject><subject>Plasmodium</subject><subject>Plasmodium falciparum</subject><subject>Plasmodium falciparum - immunology</subject><subject>Plasmodium vivax</subject><subject>Plasmodium vivax - immunology</subject><subject>Polymerase chain reaction</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Studies</subject><subject>Vector-borne diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99rFDEQxxdRrFb_A9GAIPpwZ7LJ_vJBqEVroVipxdcwl8zupWSTM8lW7x_x7zVnr6UnfZA8JEw-853MZKYonjE6Z7xhby_8FBzY-co7nFMq2oaye8Uj1vFyVpeU37913isex3hBacXbun5Y7JWcCdHx6lHx-wxWRhNwyQzoiMaEKhnvSMKYIul9ICNYCAaINjA4H00kxpGIlxjQromxlnyF1QTkC_4kR5NxCI6opbE6oHtHgCg_riBAMpdIYpr0mkzRuIF8gDVGk2ELCV0iykKMZPQabXxSPOjBRny63feL808fzw8_z05Oj44PD05mqmFNmtW6Vm2pmNZIS1rRqhIcFoLrqi8ZdJ1QgDV2tIIKysWiAmSLuoamo1oLhXy_eHElu7I-ym1Fo2S8rBve0KrMxPEVoT1cyFUwI4S19GDkX4MPg4SQjLIohRK61lyB7qnoaN9S3iDVNXJoaM8XWev9Ntq0GFGrnHQAuyO6e-PMUg7-UnLRdm3ZZoHXW4Hgf0z5g-RookJrwaGf8rtZxbqS5VbI6Mt_0Luz21ID5ASM632Oqzai8kA0De14W2605ndQeWkcjcrt15ts33F4s-OQmYS_0gBTjPL429n_s6ffd9lXt9glgk3L6O20adi4C4orUAUfY8D-psiMys30XFdDbqZHbqcnuz2__UE3Ttfjwv8Ac0YX0g</recordid><startdate>20121105</startdate><enddate>20121105</enddate><creator>Manning, Laurens</creator><creator>Laman, Moses</creator><creator>Rosanas-Urgell, Anna</creator><creator>Turlach, Berwin</creator><creator>Aipit, Susan</creator><creator>Bona, Cathy</creator><creator>Warrell, Jonathan</creator><creator>Siba, Peter</creator><creator>Mueller, Ivo</creator><creator>Davis, Timothy M E</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20121105</creationdate><title>Rapid antigen detection tests for malaria diagnosis in severely ill Papua New Guinean children: a comparative study using Bayesian latent class models</title><author>Manning, Laurens ; Laman, Moses ; Rosanas-Urgell, Anna ; Turlach, Berwin ; Aipit, Susan ; Bona, Cathy ; Warrell, Jonathan ; Siba, Peter ; Mueller, Ivo ; Davis, Timothy M E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c717t-6d6c82c1dde020505543ab43d5f21a994cae6e905a5a2bb5ae1b66a790dd4ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Antigens</topic><topic>Antigens, Protozoan - immunology</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Comparative studies</topic><topic>Diagnostic systems</topic><topic>Diagnostic tests</topic><topic>Disease</topic><topic>Epidemiology</topic><topic>Erythrocytes</topic><topic>Female</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immunologic Tests</topic><topic>Infant</topic><topic>Infections</topic><topic>Latent class analysis</topic><topic>Light microscopy</topic><topic>Malaria</topic><topic>Malaria - diagnosis</topic><topic>Male</topic><topic>Markov Chains</topic><topic>Mathematical models</topic><topic>Medical diagnosis</topic><topic>Medical research</topic><topic>Medical tests</topic><topic>Medicine</topic><topic>Microscopy</topic><topic>Monte Carlo Method</topic><topic>Mortality</topic><topic>Papua New Guinea</topic><topic>Parasites</topic><topic>Pharmacology</topic><topic>Plasmodium</topic><topic>Plasmodium falciparum</topic><topic>Plasmodium falciparum - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manning, Laurens</au><au>Laman, Moses</au><au>Rosanas-Urgell, Anna</au><au>Turlach, Berwin</au><au>Aipit, Susan</au><au>Bona, Cathy</au><au>Warrell, Jonathan</au><au>Siba, Peter</au><au>Mueller, Ivo</au><au>Davis, Timothy M E</au><au>Stoute, Jose Antonio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid antigen detection tests for malaria diagnosis in severely ill Papua New Guinean children: a comparative study using Bayesian latent class models</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-11-05</date><risdate>2012</risdate><volume>7</volume><issue>11</issue><spage>e48701</spage><epage>e48701</epage><pages>e48701-e48701</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although rapid diagnostic tests (RDTs) have practical advantages over light microscopy (LM) and good sensitivity in severe falciparum malaria in Africa, their utility where severe non-falciparum malaria occurs is unknown. LM, RDTs and polymerase chain reaction (PCR)-based methods have limitations, and thus conventional comparative malaria diagnostic studies employ imperfect gold standards. We assessed whether, using Bayesian latent class models (LCMs) which do not require a reference method, RDTs could safely direct initial anti-infective therapy in severe ill children from an area of hyperendemic transmission of both Plasmodium falciparum and P. vivax.
We studied 797 Papua New Guinean children hospitalized with well-characterized severe illness for whom LM, RDT and nested PCR (nPCR) results were available. For any severe malaria, the estimated prevalence was 47.5% with RDTs exhibiting similar sensitivity and negative predictive value (NPV) to nPCR (≥96.0%). LM was the least sensitive test (87.4%) and had the lowest NPV (89.7%), but had the highest specificity (99.1%) and positive predictive value (98.9%). For severe falciparum malaria (prevalence 42.9%), the findings were similar. For non-falciparum severe malaria (prevalence 6.9%), no test had the WHO-recommended sensitivity and specificity of >95% and >90%, respectively. RDTs were the least sensitive (69.6%) and had the lowest NPV (96.7%).
RDTs appear a valuable point-of-care test that is at least equivalent to LM in diagnosing severe falciparum malaria in this epidemiologic situation. None of the tests had the required sensitivity/specificity for severe non-falciparum malaria but the number of false-negative RDTs in this group was small.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23144935</pmid><doi>10.1371/journal.pone.0048701</doi><tpages>e48701</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Antigens Antigens, Protozoan - immunology Bayes Theorem Bayesian analysis Child, Preschool Children Comparative studies Diagnostic systems Diagnostic tests Disease Epidemiology Erythrocytes Female Hospitals Humans Immunologic Tests Infant Infections Latent class analysis Light microscopy Malaria Malaria - diagnosis Male Markov Chains Mathematical models Medical diagnosis Medical research Medical tests Medicine Microscopy Monte Carlo Method Mortality Papua New Guinea Parasites Pharmacology Plasmodium Plasmodium falciparum Plasmodium falciparum - immunology Plasmodium vivax Plasmodium vivax - immunology Polymerase chain reaction Sensitivity Sensitivity and Specificity Studies Vector-borne diseases |
title | Rapid antigen detection tests for malaria diagnosis in severely ill Papua New Guinean children: a comparative study using Bayesian latent class models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T17%3A49%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rapid%20antigen%20detection%20tests%20for%20malaria%20diagnosis%20in%20severely%20ill%20Papua%20New%20Guinean%20children:%20a%20comparative%20study%20using%20Bayesian%20latent%20class%20models&rft.jtitle=PloS%20one&rft.au=Manning,%20Laurens&rft.date=2012-11-05&rft.volume=7&rft.issue=11&rft.spage=e48701&rft.epage=e48701&rft.pages=e48701-e48701&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0048701&rft_dat=%3Cgale_plos_%3EA477093827%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1326737052&rft_id=info:pmid/23144935&rft_galeid=A477093827&rft_doaj_id=oai_doaj_org_article_4c4d6d3cadf0490f8037e0d6e3a70f3b&rfr_iscdi=true |