Citations

Background: Investigations of the relationship between vancomycin trough concentrations and area under the concentration time curve (AUC) are growing, but still limited. The authors sought to determine vancomycin exposure among hospitalized adults with presumed or confirmed invasive staphylococcal infections using 2-level pharmacokinetic monitoring to inform changes to an institutional vancomycin dosing protocol. Methods: This was a retrospective observational study performed in 2 acute care hospitals. Adults prescribed vancomycin (therapeutic trough 15–20 mg/L) for a presumed or documented invasive staphylococcal infection were evaluated. Two steady-state serum vancomycin levels were used to determine each patient's 24-hour AUC to minimum inhibitory concentration ratio (AUC/MIC) using a non-Bayesian, equation-based approach. Patient demographics and crude clinical outcomes were also collected. Results: Thirty-four patients were included in the study, with 2 patients having vancomycin levels drawn twice (36 sets of levels). Most patients were located in an intensive care unit (91.2%), and 85.3% of patients were prescribed vancomycin for bacteremia, pneumonia, or endocarditis. The mean ± SD vancomycin Cmin was 16.6 ± 6.1 mg/L, and the mean AUC/MIC was 588 ± 156 mg/L × hour. The rate of 24-hour vancomycin AUC/MIC target attainment was 91.2% (n = 31/34). Of the patients with a Cmin > 9 mg/L, 100% (n = 33) achieved AUC/MIC values >400 mg/L × hour and 93.9% were >500 mg/L × hour. There was a strong correlation between vancomycin Cmin and AUC24 hr (R2 = 0.731; P < 0.001). Conclusions: Targeting a vancomycin trough between 15 and 20 mg/L frequently resulted in an AUC/MIC greater than that thought to be necessary for efficacy optimization. Considering these findings alongside the practical challenges associated with wide-scale implementation of AUC monitoring, reducing the target trough as a means to prevent vancomycin overexposure warrants clinical consideration and further evaluation.

Abstract Purpose: Thyroid cancer cell lines are valuable models but have been neglected in pancancer genomic studies. Moreover, their misidentification has been a significant problem. We aim to provide a validated dataset for thyroid cancer researchers. Experimental Design: We performed next-generation sequencing (NGS) and analyzed the transcriptome of 60 authenticated thyroid cell lines and compared our findings with the known genomic defects in human thyroid cancers. Results: Unsupervised transcriptomic analysis showed that 94% of thyroid cell lines clustered distinctly from other lineages. Thyroid cancer cell line mutations recapitulate those found in primary tumors (e.g., BRAF, RAS, or gene fusions). Mutations in the TERT promoter (83%) and TP53 (71%) were highly prevalent. There were frequent alterations in PTEN, PIK3CA, and of members of the SWI/SNF chromatin remodeling complex, mismatch repair, cell-cycle checkpoint, and histone methyl- and acetyltransferase functional groups. Copy number alterations (CNA) were more prevalent in cell lines derived from advanced versus differentiated cancers, as reported in primary tumors, although the precise CNAs were only partially recapitulated. Transcriptomic analysis showed that all cell lines were profoundly dedifferentiated, regardless of their derivation, making them good models for advanced disease. However, they maintained the BRAFV600E versus RAS-dependent consequences on MAPK transcriptional output, which correlated with differential sensitivity to MEK inhibitors. Paired primary tumor-cell line samples showed high concordance of mutations. Complete loss of p53 function in TP53 heterozygous tumors was the most prominent event selected during in vitro immortalization. Conclusions: This cell line resource will help inform future preclinical studies exploring tumor-specific dependencies.

Background: Efforts to improve prescription of oral anticoagulation (OAC) drugs in patients with atrial fibrillation have had limited success in improving guideline adherence. Methods: We evaluated adherence to the American College of Cardiology/American Heart Association performance measures for OAC in eligible patients with a CHA 2 DS 2 -VASc score ≥2 and trends in prescription over time in the American Heart Association’s Get With The Guidelines–AFIB (atrial fibrillation) registry. Adjusted associations with in-hospital outcomes were also determined. The cohort included 33 235 patients with a CHA 2 DS 2 -VASc score ≥2 who were admitted for atrial fibrillation and were enrolled at 115 sites between January 1, 2013, and September 31, 2017. Results: The median (25th, 75th percentile) age was 73 years (65, 81 years); 51% were female; and the median (25th, 75th percentile) CHA 2 DS 2 -VASc score was 4 (3, 5). At admission, 16 206 (59.5%) of 27 221 patients with a previous diagnosis of atrial fibrillation were taking OAC agents, and OAC drug use at admission was associated with a lower adjusted odds of in-hospital ischemic stroke (odds ratio, 0.38; 95% CI, 0.24–0.59; P <0.0001). At discharge, prescription of OAC in eligible patients (no contraindications) was 93.5% (n=25 499 of 27 270). In a sensitivity analysis, when excluding only strict contraindications (4.6%, n=1497 of 32 806), OAC prescription at discharge was 80.3%. OAC prescription at discharge was higher in those aged ≤75 years, men, those with heart failure, those with previous atrial fibrillation ablation, and those with rhythm control ( P <0.0001 for all). OAC use was lowest in Hispanic patients (90.2%, P <0.0001). Prescription of OAC at discharge in eligible patients improved over time from 79.9% to 96.6% ( P <0.0001). Conclusions: Among hospitals participating in the GWTG-AFIB quality improvement program, OAC prescription at discharge in eligible guideline-indicated patients increased significantly and improved consistently over time. These data confirm that high-level adherence to guideline-recommended stroke prevention is achievable.

Background and objectives Buprenorphine is a partial µ-receptor agonist resistant to displacement from receptors by conventional opioids, which can block the effect of conventional opioids and may interfere with postoperative pain management. We aimed to quantify perioperative opioid use in patients receiving transdermal buprenorphine (TdBUP). Methods We identified patients receiving TdBUP who underwent surgery between 2004 and 2016. To compare opioid requirements (intravenous morphine equivalents (IV-MEq)), we constructed a matched study, matching each TdBUP patient with two opioid-naive patients by sex, age, and type of anesthesia and procedure. Results Nineteen unique patients underwent 22 procedures while receiving TdBUP. Total (IQR) amounts of IV-MEq (intraoperative, recovery room, and 24 hours after recovery-room discharge) were 98 (63, 145) and 46 (30, 65) mg IV-MEq for TdBUP and opioid-naive patients, respectively (p<0.001). Postoperative IV-MEq requirements were 54 (38, 90) and 15 (3, 35) mg for TdBUP and opioid-naive patients, respectively (p<0.001). Among TdBUP patients, higher preoperative doses of TdBUP were associated with greater postoperative opioid requirements (p=0.02). Specifically, patients with a 20 µg/hour TdBUP patch required 133.8 mg IV-MEq more postoperatively than patients with a 5 µg/hour patch (p=0.002). Following discharge from the recovery room, 17 (77%) TdBUP patients and 15 (34%) opioid-naive patients reported severe pain (OR 6.6 (95% CI 2.0 to 21.3); p<0.001; adjusting for baseline pain score, 5.0 (95% CI, 1.4 to 17.8); p=0.01). Conclusions Analgesic management for patients receiving TdBUP therapy must account for increased opioid needs, and greater preoperative doses of TdBUP were associated with greater postoperative opioid requirements.

Objectives The aim of this study was to investigate the impact on metal artifacts and dose efficiency of using a tin filter in combination with high-energy threshold (TH) images of a photon-counting detector (PCD) computed tomography (CT) system. Materials and Methods A 3D-printed spine with pedicle screws was scanned on a PCD-CT system with and without tin filtration. Image noise and severity of artifacts were measured for low-energy threshold (TL) and TH images. In a prospective, institutional review board–approved, Health Insurance Portability and Accountability Act-compliant study, 20 patients having a clinical energy-integrating detector (EID) CT were scanned on a PCD-CT system using tin filtration. Images were reviewed by 3 radiologists to evaluate visualization of anatomic structures, diagnostic confidence, and image preference. Artifact severity and image noise were measured. Wilcoxon signed rank was used to test differences between PCD-CT TH and EID-CT images. Results Phantom TH images with tin filtration reduced metal artifacts and had comparable noise (32 HU) to TL images (29 HU) acquired without tin filtration. Visualization scores for the cortex, trabeculae, and implant-trabecular interface from PCD-CT TH images (4.4 ± 0.9, 4.4 ± 1.0, and 4.4 ± 1.0) were significantly higher (P < 0.0001) than EID-CT images (3.3 ± 1.3, 3.3 ± 1.2, and 3.3 ± 1.6). A strong preference was shown for PCD-CT TH images due to improved diagnostic confidence and decreased artifact severity. Noise in PCD-CT TH images (93 ± 41 HU) was significantly lower than that in EID-CT images (133 ± 92 HU, P < 0.05). Conclusions Threshold high images acquired with tin filtration on PCD-CT demonstrated a substantial decrease in metal artifacts and an increase in dose efficiency compared with EID-CT.

Abstract DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P &lt; 7.94 × 10−7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.