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8%) by the Artus HCV RNA kit and in 36 of 147 (24.8%) by the GenXpert. Median quantitative HCV RNA viral load on finger prick was 28 700 IU/mL (IQR 4070-65 875) vs 1 900 000IU/mL (IQR 416,466-2,265,510) on plasma. The GenXpert instrument had a sensitivity of 100% (95% CI 90%-100%) and a specificity of 99.1% (95.1%-99.9%). The overall diagnostic accuracy was 99.3% (96.3%-99.9%). This study validates the excellent performance of the GenXpert instrument to assess HCV RNA in capillary whole blood by finger prick in a PWID cohort. © 2020 John Wiley & Sons Ltd.INTRODUCTION The aim of this study was to compare long-term outcomes in patients who underwent either native tissue repair or monofilament macroporous polypropylene mesh. METHODS This multicenter, randomized trial included-at the end of 5 years follow-up-122 women with severe pelvic organ prolapse, who were randomly assigned to undergo surgical treatment using native tissue repair (native tissue group, n = 59) or synthetic mesh repair (mesh group, n = 63). Cure criterion was when pelvic organ prolapse-quantification (POP-Q) point was ≤0. Quality of life was assessed using the prolapse quality-of-life questionnaire and sexual function with the quality of sexual function. RESULTS Groups were homogeneous preoperatively with the exception of the previous pelvic surgery variable, which was higher in mesh (P = .019). Cure rate was significantly better for mesh group in the anterior compartment (P = .002) and in the combination of all compartments (P = .001). Native tissue group was significantly better when there was prolapse in the posterior and apical compartment (P = .031). In the quality of life analysis, mesh group showed a significant improvement compared with native tissue group (P = .004). Complications were significantly higher in mesh and recurrence in native tissue. Regarding the reoperation rate, there was no difference between groups, but native tissue had a higher reoperation rate due to recurrence (P = .031). CONCLUSIONS Outcomes in women with severe POP were better with mesh use than native tissue repair, both in the anterior compartment and in the multicompartmental prolapse after 5-year follow-up. Complications were more common in the mesh group and recurrences were more frequent in the native tissue group. © 2020 Wiley Periodicals, Inc.Neoplastic transformation is a rare but serious complication of Paget's disease of bone (PDB), occurring in fewer than 1% of individuals with polyostotic disease. Their prognosis is poor, with less than 50% surviving 5 years. In 2016, the genetic alteration of giant cell tumor (GCT) complicating PDB was identified as a founder germline mutation (P937R) in the ZNF687 gene. However, the study population was exclusively of Italian descent, and patients of different ethnic origins were not studied. To fill this gap, herein we performed mutation analysis of ZNF687 in a GCT in the pelvis of a 45-year-old black American woman with polyostotic PDB. The P937R mutation in ZNF687 was found in her tumor but, as expected, the ancestral haplotype that characterizes the Italian GCT/PDB patients was not found. BGB-8035 mw Furthermore, we identified two additional Italian GCT/PDB patients with this ZNF687 mutation, now constituting a cohort of 18 GCT/PDB cases, all harboring the identical mutation. We also searched for ZNF687 mutations in a unique collection of tumor tissues derived from Italian PDB patients, including 28 osteosarcomas (OS/PDB), 8 undifferentiated sarcomas (SRC/PDB), 1 fibrosarcoma (FS/PDB), and 1 chondrosarcoma (CS/PDB). We identified the P937R mutation in one SRC/PDB and a different ZNF687 mutation (R331W) in 1 of 28 pagetic osteosarcomas. Thus, whereas GCT/PDB pathogenesis globally seems to involve the P937R mutation in ZNF687, other neoplasms associated with PDB seem to be less related to mutations in this gene. Finally, we identified the G34W mutation in the H3F3A gene in the maxillary tumor masses of two PDB patients, defining them as conventional GCT rather than GCT/PDB. Thus, combined molecular analysis of H3F3A and ZNF687 is essential to clarify the origin and diagnosis of tumors in PDB. © 2020 American Society for Bone and Mineral Research.Serum thymus and activation regulated chemokine (TARC) levels reflect classical Hodgkin lymphoma (cHL) disease activity and correspond with treatment response. We compared mid-treatment interim TARC (iTARC) with interim 18 F-fluorodeoxyglucose positron-emission tomography (iPET) imaging to predict modified progression-free survival (mPFS) in a group of 95 patients with cHL. High iTARC levels were found in nine and positive iPET in 17 patients. The positive predictive value (PPV) of iTARC for a 5-year mPFS event was 88% compared to 47% for iPET. The negative predictive value was comparable at 86% for iTARC and 85% for iPET. Serum iTARC levels more accurately reflect treatment response with a higher PPV compared to iPET. © 2020 The Authors. British Journal of Haematology published by British Society for Haematology and John Wiley & Sons Ltd.Periodontal disease (PD) is a chronic inflammatory disease that affects the gum tissue and bone supporting the teeth. Although tooth-site level PD progression is believed to be spatio-temporally referenced, the whole-mouth average periodontal pocket depth (PPD) has been commonly used as an indicator of the current/active status of PD. This leads to imminent loss of information, and imprecise parameter estimates. Despite availability of statistical methods that accommodates spatiotemporal information for responses collected at the tooth-site level, the enormity of longitudinal databases derived from oral health practice-based settings render them unscalable for application. To mitigate this, we introduce a Bayesian spatiotemporal model to detect problematic/diseased tooth-sites dynamically inside the mouth for any subject obtained from large databases. This is achieved via a spatial continuous sparsity-inducing shrinkage prior on spatially varying linear-trend regression coefficients. A low-rank representation captures the nonstationary covariance structure of the PPD outcomes, and facilitates the relevant Markov chain Monte Carlo computing steps applicable to thousands of study subjects. Application of our method to both simulated data and to a rich database of electronic dental records from the HealthPartners ® Institute reveal improved prediction performances, compared with alternative models with usual Gaussian priors for regression parameters and conditionally autoregressive specification of the covariance structure. © 2020 John Wiley & Sons, Ltd.