학술논문

Use of quantitative molecular diagnostic methods to assess the aetiology, burden, and clinical characteristics of diarrhoea in children in low-resource settings: a reanalysis of the MAL-ED cohort study
Document Type
article
Author
James A Platts-Mills, MDJie Liu, PhDElizabeth T Rogawski, PhDFurqan Kabir, MScPaphavee Lertsethtakarn, PhDMery Siguas, BScShaila S Khan, MScIra Praharaj, MDArinao Murei, BScRosemary Nshama, BScBuliga Mujaga, BScAlexandre Havt, PhDIrene A Maciel, PhDTimothy L McMurry, PhDDarwin J Operario, PhDMami Taniuchi, PhDJean Gratz, MSSuzanne E Stroup, MSJames H RobertsAdil Kalam, MScFatima Aziz, MScShahida Qureshi, MScM Ohedul Islam, MScPimmada Sakpaisal, MScSasikorn Silapong, B BScPablo P Yori, MPHRevathi Rajendiran, MScBlossom Benny, MScMonica McGrath, ScDBenjamin J J McCormick, DPhilJessica C Seidman, PhDDennis Lang, PhDMichael Gottlieb, PhDRichard L Guerrant, MDAldo A M Lima, ProfPhDJose Paulo Leite, PhDAmidou Samie, PhDPascal O Bessong, ProfPhDNicola Page, PhDLadaporn Bodhidatta, MDCarl Mason, MDSanjaya Shrestha, MDIreen Kiwelu, PhDEstomih R Mduma, MPHNajeeha T Iqbal, PhDZulfiqar A Bhutta, ProfPhDTahmeed Ahmed, ProfMBBSRashidul Haque, PhDGagandeep Kang, ProfMDMargaret N Kosek, MDEric R Houpt, ProfMDAngel Mendez AcostaRosa Rios de BurgaCesar Banda ChavezJulian Torres FloresMaribel Paredes OloteguiSilvia Rengifo PinedoDixner Rengifo TrigosoAngel Orbe VasquezImran AhmedDidar AlamAsad AliMuneera RasheedSajid SoofiAli TurabAisha YousafzaiAnita KM ZaidiBinob ShresthaBishnu Bahadur RayamajhiTor StrandGeetha AmmuSudhir BabjiAnuradha BoseAjila T GeorgeDinesh HarirajuM. Steffi JenniferSushil JohnShiny KakiPriyadarshani KarunakaranBeena KoshyRobin P LazarusJayaprakash MuliyilPreethi RagasudhaMohan Venkata RaghavaSophy RajuAnup RamachandranRakhi RamadasKarthikeyan RamanujamAnuradha RoseReeba RoshanSrujan L SharmaShanmuga SundaramRahul J ThomasWilliam K PanRamya AmbikapathiJ Daniel CarreonViyada DoanChristel HoestStacey KnoblerMark A MillerStephanie PsakiZeba RasmussenStephanie A RichardKaren H TountasErling SvensenCaroline AmourEliwaza BayyoRegisiana MvungiJohn PascalLadislaus YarrotLeah BarrettRebecca DillinghamWilliam A PetriRebecca ScharfAM Shamsir AhmedMd Ashraful AlamUmma HaqueMd Iqbal HossainMunirul IslamMustafa MahfuzDinesh MondalBaitun NaharFahmida TofailRam Krishna ChandyoPrakash Sunder ShresthaRita ShresthaManjeswori UlakAubrey BauckRobert BlackLaura CaulfieldWilliam CheckleyGwenyth LeeKerry SchulzeSamuel ScottLaura E Murray-KolbA Catharine RossBarbara SchaeferSuzanne SimonsLaura PendergastCláudia B AbreuHilda CostaAlessandra Di MouraJosé Quirino FilhoÁlvaro M LeiteNoélia L LimaIla F LimaBruna LL MacielPedro HQS MedeirosMilena MoraesFrancisco S MotaReinaldo B OriáJosiane QuetzAlberto M SoaresRosa MS MotaCrystal L PatilCloupas MahopoAngelina MaphulaEmanuel Nyathi
Source
The Lancet Global Health, Vol 6, Iss 12, Pp e1309-e1318 (2018)
Subject
Public aspects of medicine
RA1-1270
Language
English
ISSN
2214-109X
Abstract
Summary: Background: Optimum management of childhood diarrhoea in low-resource settings has been hampered by insufficient data on aetiology, burden, and associated clinical characteristics. We used quantitative diagnostic methods to reassess and refine estimates of diarrhoea aetiology from the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) cohort study. Methods: We re-analysed stool specimens from the multisite MAL-ED cohort study of children aged 0–2 years done at eight locations (Dhaka, Bangladesh; Vellore, India; Bhaktapur, Nepal; Naushero Feroze, Pakistan; Venda, South Africa; Haydom, Tanzania; Fortaleza, Brazil; and Loreto, Peru), which included active surveillance for diarrhoea and routine non-diarrhoeal stool collection. We used quantitative PCR to test for 29 enteropathogens, calculated population-level pathogen-specific attributable burdens, derived stringent quantitative cutoffs to identify aetiology for individual episodes, and created aetiology prediction scores using clinical characteristics. Findings: We analysed 6625 diarrhoeal and 30 968 non-diarrhoeal surveillance stools from 1715 children. Overall, 64·9% of diarrhoea episodes (95% CI 62·6–71·2) could be attributed to an aetiology by quantitative PCR compared with 32·8% (30·8–38·7) using the original study microbiology. Viral diarrhoea (36·4% of overall incidence, 95% CI 33·6–39·5) was more common than bacterial (25·0%, 23·4–28·4) and parasitic diarrhoea (3·5%, 3·0–5·2). Ten pathogens accounted for 95·7% of attributable diarrhoea: Shigella (26·1 attributable episodes per 100 child-years, 95% CI 23·8–29·9), sapovirus (22·8, 18·9–27·5), rotavirus (20·7, 18·8–23·0), adenovirus 40/41 (19·0, 16·8–23·0), enterotoxigenic Escherichia coli (18·8, 16·5–23·8), norovirus (15·4, 13·5–20·1), astrovirus (15·0, 12·0–19·5), Campylobacter jejuni or C coli (12·1, 8·5–17·2), Cryptosporidium (5·8, 4·3–8·3), and typical enteropathogenic E coli (5·4, 2·8–9·3). 86·2% of the attributable incidence for Shigella was non-dysenteric. A prediction score for shigellosis was more accurate (sensitivity 50·4% [95% CI 46·7–54·1], specificity 84·0% [83·0–84·9]) than current guidelines, which recommend treatment only of bloody diarrhoea to cover Shigella (sensitivity 14·5% [95% CI 12·1–17·3], specificity 96·5% [96·0–97·0]). Interpretation: Quantitative molecular diagnostics improved estimates of pathogen-specific burdens of childhood diarrhoea in the community setting. Viral causes predominated, including a substantial burden of sapovirus; however, Shigella had the highest overall burden with a high incidence in the second year of life. These data could improve the management of diarrhoea in these low-resource settings. Funding: Bill & Melinda Gates Foundation.