TY - CHAP
T1 - Diagnostic Accuracy of a Novel Tuberculosis Point-of-Care Urine Lipoarabinomannan Assay for People Living with HIV
T2 - A Meta-Analysis of Individual In- and Outpatient Data
AU - Broger, Tobias
AU - Nicol, Mark P.
AU - Székely, Rita
AU - Bjerrum, Stephanie
AU - Sossen, Bianca
AU - Schutz, Charlotte
AU - Opintan, Japheth A.
AU - Johansen, Isik S.
AU - Mitarai, Satoshi
AU - Chikamatsu, Kinuyo
AU - Kerkhoff, Andrew D.
AU - Macé, Aurélien
AU - Ongarello, Stefano
AU - Meintjes, Graeme
AU - Denkinger, Claudia M.
AU - Schumacher, Samuel G.
PY - 2023
Y1 - 2023
N2 - Traditional diagnostic methods, such as culture or smear microscopy, are slow or low in sensitivity. More sensitive modern techniques, such as Xpert MTB/RIF, require a certain infrastructure, are costly, and are not widely accessible. Diagnostic accuracy was determined separately for each cohort, and 95% confidence intervals were computed using Wilson’s score method. Sensitivity and specificity of LF-LAM and SILVAMP-LAM for each cohort were compared using the McNemar test. The inclusion of different cohorts with different study designs resulted in heterogeneity and different exclusion rates; however, differences in diagnostic sensitivity between SILVAMP-LAM and LF-LAM persisted in a sensitivity analysis including the “unclassifiable” category and in the analyses by CD4 subgroup. Further, antiretroviral treatment may have influenced patient outcome and thus the reference standard categories “possible TB” and “unclassifiable”. Limited budgets, lack of country-specific data, administrative hurdles such as local regulatory approval, lack of coordination between national TB and HIV programs, and small perceived patient population size.
AB - Traditional diagnostic methods, such as culture or smear microscopy, are slow or low in sensitivity. More sensitive modern techniques, such as Xpert MTB/RIF, require a certain infrastructure, are costly, and are not widely accessible. Diagnostic accuracy was determined separately for each cohort, and 95% confidence intervals were computed using Wilson’s score method. Sensitivity and specificity of LF-LAM and SILVAMP-LAM for each cohort were compared using the McNemar test. The inclusion of different cohorts with different study designs resulted in heterogeneity and different exclusion rates; however, differences in diagnostic sensitivity between SILVAMP-LAM and LF-LAM persisted in a sensitivity analysis including the “unclassifiable” category and in the analyses by CD4 subgroup. Further, antiretroviral treatment may have influenced patient outcome and thus the reference standard categories “possible TB” and “unclassifiable”. Limited budgets, lack of country-specific data, administrative hurdles such as local regulatory approval, lack of coordination between national TB and HIV programs, and small perceived patient population size.
KW - composite reference standard (CRS)
KW - cross-reactivity
KW - demographics
KW - Fujifilm SILVAMP TB LAM (SILVAMP-LAM)
KW - individual patient data (IPD)
KW - lipoarabinomannan (LAM)
KW - microbiological reference standard (MRS)
KW - mycobacteria growth indicator tube (MGIT)
KW - Mycobacterium tuberculosis (Mtb)
KW - nontuberculous mycobacteria (NTM)
KW - people living with HIV (PLHIV)
KW - point-of-care (POC)
KW - tuberculosis (TB)
KW - urinary tract
KW - Xpert MTB/RIF (Xpert)
U2 - 10.1201/9781003298038-33
DO - 10.1201/9781003298038-33
M3 - Book chapter
AN - SCOPUS:85177535859
SN - 9789814877466
SP - 955
EP - 972
BT - Advances in Medical Imaging, Detection, and Diagnosis
A2 - Bawa, Raj
A2 - Audette, Gerald F.
A2 - Bawa, S. R.
A2 - Patel, Bela
A2 - Johnson, Bruce D.
A2 - Khanna, Rajeev
PB - Jenny Stanford Publishing
ER -