Reassessment of the positive predictive value and specificity of Xpert MTB/RIF: a diagnostic accuracy study in the context of community-wide screening for tuberculosis

2016 ◽  
Vol 16 (9) ◽  
pp. 1045-1051 ◽  
Author(s):  
Jennifer Ho ◽  
Phuong Thi Bich Nguyen ◽  
Thu Anh Nguyen ◽  
Khoa Hien Tran ◽  
Son Van Nguyen ◽  
...  
2019 ◽  
Vol 105 (6) ◽  
pp. 524-529 ◽  
Author(s):  
Ifeyinwa Obiageli Ezeofor ◽  
Ada Lizbeth Garcia ◽  
Charlotte Margaret Wright

PurposeWe aimed to describe the prevalence of undernutrition in hospitalised infants aged under 6 months and test the utility of simple index measures to detect undernutrition.DesignDiagnostic accuracy study: weight, length, mid-upper arm circumference (MUAC), triceps and subscapular skinfolds were measured in infants aged 2 weeks to 6 months admitted to a Teaching Hospital in Enugu, Nigeria. Index criteria: low (<−2SD) weight-for-age Z-scores (WAZ), weight-for-length Z-scores (WLZ); MUAC <11 cm. Reference definition: weight faltering (conditional weight gain below fifth percentile for healthy Nigerian infants) or sum of skinfolds (SSF) <10 mm.ResultsOf 125 hospitalised infants, only 5% (6) were admitted specifically for undernutrition, but low SSF were found in 33% (41) and, 24% (25) with known birth weight had weight faltering, giving an undernutrition prevalence of 36%. Low WAZ was the most discriminating predictor of undernutrition (sensitivity 69%, positive predictive value 86%, likelihood ratio 5.5; area under receiver operator curves 0.90) followed by MUAC (73%, 73%, 4.9; 0.86), while WLZ performed least well (49%, 67%, 2.9; 0.84). Where both MUAC and WAZ were low, there was sensitivity 90%, positive predictive value 82% and likelihood ratio 8.7.ConclusionsInfants aged under 6 months admitted to hospital in Nigeria had a high prevalence of undernutrition. In young, high-risk population, a low WAZ alone was a valuable screening criterion, while combining weight with MUAC gave even higher discrimination. Measurement of length to calculate WLZ was a less useful predictor in this population.


2021 ◽  
Vol 104 (2) ◽  
pp. 271-276

Objective: To evaluate the diagnostic accuracy of restricted diffusion of the optic nerves in patients with acute optic neuritis (ON). Materials and Methods: The present study was a diagnostic accuracy study, including all acute ON patients, admitted to Ramathibodi Hospital in Thailand, between January 2014 and December 2018 (ID 075739). Patients were divided into acute ON and non-optic neuritis condition (non-ON) groups. The acute ON group was divided further into neuromyelitis optica spectrum disorder-associated optic neuritis (NMOSD-ON) group and other types of ON (other-ON) group. Patients’ clinical information and MRI scans were reviewed retrospectively. Restricted diffusion of the optic nerves was present if hyperintense signals were observed on diffusion-weighted imaging (DWI) and hypointense signals were observed on the apparent diffusion coefficient (ADC) map. Results: A total of 102 patients were included in the present study (141 optic nerves). Of all patients, 78 had acute ON (76.5%), and 24 had non-ON (23.5%). Of all optic nerves, there were 95 optic nerves in the acute ON group (67.4%) and 46 in the non-ON group (32.6%). Of 95 optic nerves in the acute ON group, there were 52 optic nerves in the NMOSD-ON group (54.7%) and 43 in the other-ON group (45.3%). Restricted diffusion of the optic nerves demonstrated a sensitivity of 77.9%, specificity of 95.7%, positive predictive value of 97.4%, and negative predictive value of 67.7% in identifying acute ON. It had a sensitivity of 86.5%, specificity of 32.6%, positive predictive value of 60.8%, and negative predictive value of 66.7% in differentiating NMOSD-ON from other-ON. Conclusion: The diffusion MRI can be a marker of acute ON. The test is most useful for ruling in acute ON when restricted diffusion is positive. However, further investigations might be required in negative tests. Restricted diffusion is positive in several types of ON. It is difficult to differentiate NMOSD-ON from other ON types using diffusion MRI alone. Keywords: Neuromyelitis optica spectrum disorders, Optic neuritis, Diffusion-weighted imaging, Apparent diffusion coefficient, Restricted diffusion


CHEST Journal ◽  
2021 ◽  
Author(s):  
Almudena Alonso-Ojembarrena ◽  
Iker Serna-Guerediaga ◽  
Victoria Aldecoa-Bilbao ◽  
Rebeca Gregorio-Hernández ◽  
Paula Alonso-Quintela ◽  
...  

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Jost Langhorst ◽  
Lana Kairey ◽  
Angela Oberle ◽  
James Boone ◽  
Gustav Dobos ◽  
...  

Abstract Background and Aims Histological remission has arisen as the optimal treatment outcome in ulcerative colitis (UC). The aim of this retrospective study was to explore the diagnostic performance of the noninvasive fecal biomarkers calprotectin (FC) and lactoferrin (FL) compared to the histological indices Nancy Index (NI) and Riley Index (RI). Methods This study is a retrospective diagnostic accuracy study based on secondary analysis of patient data from 2002 to 2017 extracted from medical registries of our clinics in Essen-Mitte, Germany. Patients with UC underwent a colonoscopy, with biopsies taken from the rectum and the sigmoid scored by 2 experienced pathologists according to NI and RI and provided a stool sample within 7 days pre- or post-colonoscopy. Diagnostic accuracy of recommended cutoffs for FC (&gt;50 μg/g) and FL (≥7.25 μg/g) were tested against our reference standard (NI ≥2) in terms of specificity, sensitivity, positive predictive value, negative predictive value, and accuracy (effectiveness). Results The number of patients with UC recruited was n = 226, aged 45.2 (SD 13.3). Histological indices were highly correlated (r = 0.980, P &lt; 0.001). Fecal biomarkers correlated moderately with NI (FC: r = 0.383, P &lt; 0.001; FL: r = 0.420, P &lt; 0.001) and RI (FC: r = 0.395, P &lt; 0.001; FL: r = 0.424, P &lt; 0.001). Fecal biomarker concentrations were increased in patients with active histological disease (NI ≥2), median [IQR], FC 69.72 [20.07–254.38], FL 18.59 [6.06–44.42], compared to those with inactive disease (NI ≤1), FC 12.35 [3.89 – 32.16], FL 3.14 [0.75–11.05], z = −6.60, P &lt; 0.001. Fecal biomarker concentrations differed significantly across NI grades 0–4 (FC: H4 = 45.2; FL: H4 = 47.5, both P &lt; 0.001). Patients with grade 0 had significantly lower concentrations of fecal biomarkers than those with grade 3 (median; FC 10.94 vs 72.22; FL 2.30 vs 29.10; both P &lt; 0.001) or grade 4 (FC 10.94 vs 67.00; FL 2.30 vs 27.64; both P &lt; 0.001), as well as grade 2 for FC only (10.94 vs 56.22, P = 0.001). Concentrations were also lower in patients with grade 1 compared to those with grade 3 (FC 17.49 vs 72.22; FL 4.24 vs. 29.10; both P ≤ 0.001) or grade 4 (FC 17.49 vs 67.00; FL 4.24 vs 27.64; both P &lt; 0.001). Receiver operating characteristics area under the curve showed moderate diagnostic accuracy for both FC 0.76 (95% confidence interval [CI] 0.70–0.83) and FL 0.73 (95% CI 0.66–0.80). Optimized cutoffs for both FC (≥34.29) and FL (≥5.85 μg/g) had slightly improved accuracy, compared with the manufacturer’s cutoffs (FC: 69.9% vs 65.9%; FL: 71.7% vs 69.0%). Conclusions Fecal biomarkers calprotectin and lactoferrin correlate with histological disease activity and differentiate between patients in histological remission from those with evidence of moderate to severe disease activity. Their noninvasiveness, in addition to being inexpensive, supports their use in the clinical monitoring of patients with UC.


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