BACKGROUND: The blood monocyte-to-lymphocyte ratio (MLR) is associated with active tuberculosis (TB) in adults but has not been evaluated as a TB diagnostic biomarker in HIV-infected children in whom respiratory sampling is difficult. SETTING: In a cohort of HIV-infected hospitalized Kenyan children initiating antiretroviral therapy, absolute monocyte and lymphocyte counts were determined at enrollment and 4, 12, and 24 weeks thereafter. METHODS: Children were classified as confirmed, unconfirmed, or unlikely pulmonary TB. Receiver operating characteristic curves of MLR cutoff values were generated to distinguish children with confirmed TB from those with unconfirmed and unlikely TB. General estimating equations were used to estimate change in the MLR over time by TB status. RESULTS: Of 160 children with median age 23 months, 13 (8.1%) had confirmed TB and 67 (41.9%) had unconfirmed TB. The median MLR among children with confirmed TB {0.407 [interquartile range (IQR) 0.378-0.675]} was higher than the MLR in children with unconfirmed [0.207 (IQR 0.148-0.348), P < 0.01] or unlikely [0.212 (IQR 0.138-0.391), P = 0.01] TB. The MLR above 0.378 identified children with confirmed TB with 77% sensitivity, 78% specificity, 24% positive predictive value, and 97% negative predictive value. After TB treatment, the median MLR declined in children with confirmed TB and levels were similar to children with unlikely TB after 12 weeks. CONCLUSIONS: The blood MLR distinguished HIV-infected children with confirmed TB from those with unlikely TB and declined with TB treatment. The MLR may be a useful diagnostic tool for TB in settings where respiratory-based microbiologic confirmation is inaccessible.
RCT Entities:
BACKGROUND: The blood monocyte-to-lymphocyte ratio (MLR) is associated with active tuberculosis (TB) in adults but has not been evaluated as a TB diagnostic biomarker in HIV-infectedchildren in whom respiratory sampling is difficult. SETTING: In a cohort of HIV-infected hospitalized Kenyan children initiating antiretroviral therapy, absolute monocyte and lymphocyte counts were determined at enrollment and 4, 12, and 24 weeks thereafter. METHODS:Children were classified as confirmed, unconfirmed, or unlikely pulmonary TB. Receiver operating characteristic curves of MLR cutoff values were generated to distinguish children with confirmed TB from those with unconfirmed and unlikely TB. General estimating equations were used to estimate change in the MLR over time by TB status. RESULTS: Of 160 children with median age 23 months, 13 (8.1%) had confirmed TB and 67 (41.9%) had unconfirmed TB. The median MLR among children with confirmed TB {0.407 [interquartile range (IQR) 0.378-0.675]} was higher than the MLR in children with unconfirmed [0.207 (IQR 0.148-0.348), P < 0.01] or unlikely [0.212 (IQR 0.138-0.391), P = 0.01] TB. The MLR above 0.378 identified children with confirmed TB with 77% sensitivity, 78% specificity, 24% positive predictive value, and 97% negative predictive value. After TB treatment, the median MLR declined in children with confirmed TB and levels were similar to children with unlikely TB after 12 weeks. CONCLUSIONS: The blood MLR distinguished HIV-infectedchildren with confirmed TB from those with unlikely TB and declined with TB treatment. The MLR may be a useful diagnostic tool for TB in settings where respiratory-based microbiologic confirmation is inaccessible.
Authors: Sylvia M LaCourse; Patricia B Pavlinac; Lisa M Cranmer; Irene N Njuguna; Cyrus Mugo; John Gatimu; Joshua Stern; Judd L Walson; Elizabeth Maleche-Obimbo; Julius Oyugi; Dalton Wamalwa; Grace John-Stewart Journal: AIDS Date: 2018-01-02 Impact factor: 4.177
Authors: Matthew P R Berry; Christine M Graham; Finlay W McNab; Zhaohui Xu; Susannah A A Bloch; Tolu Oni; Katalin A Wilkinson; Romain Banchereau; Jason Skinner; Robert J Wilkinson; Charles Quinn; Derek Blankenship; Ranju Dhawan; John J Cush; Asuncion Mejias; Octavio Ramilo; Onn M Kon; Virginia Pascual; Jacques Banchereau; Damien Chaussabel; Anne O'Garra Journal: Nature Date: 2010-08-19 Impact factor: 49.962
Authors: Nicole Berens-Riha; Inge Kroidl; Mirjam Schunk; Martin Alberer; Marcus Beissner; Michael Pritsch; Arne Kroidl; Günter Fröschl; Ingrid Hanus; Gisela Bretzel; Frank von Sonnenburg; Hans Dieter Nothdurft; Thomas Löscher; Karl-Heinz Herbinger Journal: Malar J Date: 2014-04-23 Impact factor: 2.979
Authors: Marco Pio La Manna; Valentina Orlando; Francesco Dieli; Paola Di Carlo; Antonio Cascio; Gilda Cuzzi; Fabrizio Palmieri; Delia Goletti; Nadia Caccamo Journal: PLoS One Date: 2017-02-16 Impact factor: 3.240
Authors: Vivek Naranbhai; Soyeon Kim; Helen Fletcher; Mark F Cotton; Avy Violari; Charles Mitchell; Sharon Nachman; George McSherry; Helen McShane; Adrian V S Hill; Shabir A Madhi Journal: BMC Med Date: 2014-07-17 Impact factor: 8.775
Authors: Vivek Naranbhai; Helen A Fletcher; Rachel Tanner; Matthew K O'Shea; Helen McShane; Benjamin P Fairfax; Julian C Knight; Adrian V S Hill Journal: EBioMedicine Date: 2015-11 Impact factor: 8.143
Authors: Alexander W Kay; Helena Rabie; Elizabeth Maleche-Obimbo; Moorine Penninah Sekadde; Mark F Cotton; Anna M Mandalakas Journal: Pathogens Date: 2021-12-29