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To determine if dynamic susceptibility contrast perfusion MR imaging (DSC-pMRI) can predict significant genomic alterations in glioblastoma (GB).

A total of 47 patients with treatment-naive GB (M/F 23/24, mean age 54years, age range 20-90years) having DSC-pMRI with leakage correction and genomic analysis were reviewed. Mean relative cerebral blood volume (rCBV), maximum rCBV, relative percent signal recovery (rPSR), and relative peak height (rPH) were derived from T2* signal intensity-time curves by ROI analysis. Major genomic alterations of IDH1-132H, MGMT, p53, EGFR, ATRX, and PTEN status were correlated with DSC-pMRI-derived GB parameters. Statistical analysis was performed utilizing the independent-samples t-test, ROC (receiver operating characteristic) curve analysis, and multivariable stepwise regression model.

rCBVmean and rCBVmax were significantly different in relation to the IDH1, MGMT, p53, and PTEN mutation status (all p < 0.05). The rPH of the p53 mutation-positive GBs (mean 5.8 ± 2.8) was significantly higher than those of the p53 mutation-negative GBs (mean 4.0 ± 1.5) (p = 0.022). Multivariable stepwise regression analysis revealed that the presence of IDH-1 mutation (B = - 2.81, p = 0.005) was associated with decreased rCBVmean; PTEN mutation (B = - 1.21, p = 0.003) and MGMT methylation (B = - 1.47, p = 0.038) were associated with decreased rCBVmax; and ATRX loss (B = - 1.05, p = 0.008) was associated with decreased rPH.

Significant associations were identified between DSC-pMRI-derived parameters and major genomic alterations, including IDH-1 mutation, MGMT methylation, ATRX loss, and PTEN mutation status in GB.

Significant associations were identified between DSC-pMRI-derived parameters and major genomic alterations, including IDH-1 mutation, MGMT methylation, ATRX loss, and PTEN mutation status in GB.SARS-CoV-2 in vitro transcribed RNA reference materials (RM), UME RM 2019 and UME RM 2020, were produced by Scientific and Technological Research Council of Turkey (TUBITAK), National Metrology Institute (UME), to be used as a quality control material for SARS-CoV-2 measurements, in liquid-frozen and lyophilized forms, respectively. These RNA RMs include ten internationally recommended SARS-CoV-2 target gene fragments (Pasteur-RdRp-IP2, Pasteur-RdRp-IP4, Charite-E, Charite-RdRp, CDC-N1, CDC-N2, China CDC-ORF1ab, China CDC-N, Hong Kong-ORF1b, and Hong Kong-N) for virus detection and one human gene fragment (RNase P) as an internal control. Two different platforms, RT-qPCR and RT-ddPCR, were used to characterize UME RM 2019 (UME RM 2020 was only characterized with RT-qPCR). The homogeneity studies were evaluated by RT-qPCR. According to these results, it has been shown that both reference materials are homogeneous for intended use. Short-term studies were also conducted similarly for mimicking transport conditions and UME RM 2020, which is produced in lyophilized form, unlike other reference materials available in the market, provides convenience for users by ensuring that the reference material remains stable for 17 days even at 45 °C temperature. The lyophilized formulation of the reference material had greater stability which would allow it to be shipped without cooling items. The development of such RNA reference materials provides quality control for existing and newly designed RNA-based virus detection tests and it helps the prevention and control of epidemics.

To evaluate the dose trajectory of new opioid tapers and estimate the percentage of patients with sustained tapers at long-term follow-up.

Retrospective cohort study.

Data from the OptumLabs Data Warehouse® which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees, representing a diverse mixture of ages, ethnicities, and geographical regions across the United States.

Patients prescribed stable, higher-dose opioids for ≥12 months from 2008 to 2018.

Tapering was defined as ≥15% relative reduction in average MME/day during any of six overlapping 60-day periods in the initial 7 months of follow-up after the period of stable baseline dosing. Average monthly dose was ascertained during consecutive 60-day periods up to 16 months of follow-up. Linear regression estimated the geometric mean relative dose by tapering status and follow-up duration. LNG-451 in vivo Poisson regression estimated the percentage of tapered patients with sustained dose reductionsf sustaining tapers increased substantially from 2008 to 2018.

In an insured and Medicare Advantage population, over two-thirds of patients who initiated opioid dose tapering sustained long-term dose reductions, and the likelihood of sustaining tapers increased substantially from 2008 to 2018.

Substance use disorder (SUD) is a known barrier to patient-self-management, which can hinder efforts to achieve treatment goals in type 2 diabetes (T2D) when the conditions coexist.

Identify the association between SUD and glycemic control in patients with T2D treated in a primary care setting.

This retrospective cohort study included patients with T2D treated by providers at family medicine clinics at an academic medical center and its affiliated regional sites from January 2014 to October 2019. Study index date was the first A1c recorded when T2D and SUD diagnoses had both been documented in the medical record. Glycemic control, measured by hemoglobin A1c (A1c), was identified at baseline and over a 12-month follow-up period and was compared between SUD and non-SUD patients.

Of 9568 included patients with T2D, 468 (4.9%) had a SUD diagnosis. In 237 SUD and 4334 non-SUD patients with A1c data, mean (SD) baseline A1c was 8.2% (2.5) and 7.9% (2.1), respectively (P = 0.043). A1c reduction was statistically greater in SUD patients than non-SUD patients (-0.31% versus -0.06%, respectively; P = 0.015), although the clinical significance is modest. In a multivariable linear regression analysis, follow-up A1c was lower in the SUD versus non-SUD patients (coefficient -0.184, 95% CI -0.358, -0.010; P = 0.038).

Patients with T2D and SUD had higher baseline A1c but this difference was minimized over a 12-month follow-up period. Additional research is warranted to determine long-term glycemic control and barriers to attaining and maintaining glycemic control in patients with T2D and SUD.

Patients with T2D and SUD had higher baseline A1c but this difference was minimized over a 12-month follow-up period. Additional research is warranted to determine long-term glycemic control and barriers to attaining and maintaining glycemic control in patients with T2D and SUD.

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