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Context.— Quality measures are a cornerstone in measuring physicians' performance within the Centers for Medicare & Medicaid Services' Quality Payment Program (QPP). Clinicians' performance on quality measures and other categories within the QPP determines Medicare part B payment adjustments. Driven by evidence-based clinical practice guidelines, quality measures should focus on high-priority facets of health care, support a desired patient outcome, and address an area with evidence of a gap or variation in provider performance. Objective.— To meet the goals of the QPP, a broad array of quality measures must be developed that allows pathologists the flexibility to choose activities and measures most meaningful to their practice and patient population while also trying to mitigate the challenges of implementation and data collection. Design.— In this second manuscript of the series, we present the development of additional College of American Pathologists-developed quality payment measures for use in the QPP. We also discuss the relationship of quality measure reporting with reimbursement and the challenges with capturing data for quality reporting. Results.— The College of American Pathologists identified 23 new measures for quality performance reporting that reflect rigorous clinical evidence and address areas in need of performance improvement. Conclusions.— Development of quality measures is a necessary and ongoing effort within the College of American Pathologists. Increased awareness about pathology-specific issues in measure development and reporting is essential to ensuring pathology's ability to demonstrate value and meaningfully participate in the QPP.Background Hydroxychloroquine and chloroquine have antiviral effects in vitro against severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Purpose To summarize evidence about the benefits and harms of hydroxychloroquine or chloroquine for the treatment or prophylaxis of coronavirus disease 2019 (COVID-19). Sovleplenib datasheet Data sources PubMed (via MEDLINE), EMBASE (via Ovid), Scopus, Web of Science, Cochrane Library, bioRxiv, Preprints, ClinicalTrials.gov, World Health Organization International Clinical Trials Registry Platform, and the Chinese Clinical Trials Registry from 1 December 2019 until 8 May 2020. Study selection Studies in any language reporting efficacy or safety outcomes from hydroxychloroquine or chloroquine use in any setting in adults or children with suspected COVID-19 or at risk for SARS-CoV-2 infection. Data extraction Independent, dually performed data extraction and quality assessments. Data synthesis Four randomized controlled trials, 10 cohort studies, and 9 case series assessed treatment effeloroquine. Limitation There were few controlled studies, and control for confounding was inadequate in observational studies. Conclusion Evidence on the benefits and harms of using hydroxychloroquine or chloroquine to treat COVID-19 is very weak and conflicting. Primary funding source Agency for Healthcare Research and Quality.Bromocriptine mesylate treatment was examined in dogs fed a high fat diet (HFD) for 8 weeks. After 4 weeks on HFD, daily bromocriptine (Bromo; n=6) or vehicle (CTR; n=5) injections were administered. Oral glucose tolerance tests were performed before beginning HFD (OGTT1), 4 weeks after HFD began (Bromo only), and after 7.5 weeks on HFD (OGTT3). After 8 weeks on HFD, clamp studies were performed, with infusion of somatostatin and intraportal replacement of insulin (4xbasal) and glucagon (basal). From 0-90 min (P1), glucose was infused via peripheral vein to double the hepatic glucose load (HGL); and from 90-180 min (P2), glucose was infused via the hepatic portal vein at 4 mg·kg-1·min-1, with the HGL maintained at 2xbasal. Bromo decreased the OGTT glucose ΔAUC0-30 and ΔAUC0-120 by 62% and 27%, respectively; P less then 0.05 for both), without significantly altering the insulin response. Bromo dogs exhibited enhanced net hepatic glucose uptake (NHGU) compared with CTR (~33% and 21% greater, P1 and P2, respectively; P less then 0.05). Nonhepatic glucose uptake (nonHGU) was increased ~38% in Bromo in P2 (P less then 0.05). Bromo vs CTR had higher (P less then 0.05) rates of glucose infusion (36% and 30%) and nonHGU (~40% and 27%) than CTR during P1 and P2, respectively. In Bromo vs CTR, hepatic 180/160 and 161/160 ratios tended to be elevated in triglycerides and were higher (P less then 0.05) in phospholipids, consistent with a beneficial effect of bromocriptine on liver fat accumulation. Thus bromocriptine treatment improved glucose disposal in a glucose intolerant model, enhancing both NHGU and nonHGU.Little is known about the effects of the development of metabolic syndrome (MS) on protein and amino acid (AA) metabolism. During this study, we took advantage of the variability in inter-individual susceptibility to high-fat diet-induced MS to study the relationships between MS, protein synthesis and AA catabolism in multiple tissues in rats. After 4 months of high-fat feeding, an MS score (ZMS) was calculated as the average of the z-scores for individual MS components (weight, adiposities, HOMA-IR, triglycerides). In the small intestine, liver, plasma, kidneys, heart and muscles, tissue protein synthesis was measured by 2H2O labelling, and we evaluated the proportion of tissue AA catabolism (relative to protein synthesis) and nutrient routing to non-indispensable AA in tissue proteins using natural nitrogen and carbon isotopic distances between tissue proteins and nutrients (Δ15N and Δ13C), respectively. In the liver, protein mass and synthesis increased while the proportion of AA catabolism decreased with ZMS. By contrast, in muscles, we found no association between ZMS and protein mass, protein synthesis (except for a weak positive association in the gastrocnemius muscle only), and proportion of AA catabolism. The development of MS was also associated with altered metabolic flexibility and fatty acid oxidation, as shown by less routing of dietary lipids to non-indispensable AA synthesis in liver and muscle. In conclusion, MS development is associated with a greater gain of both fat and protein masses, with higher protein anabolism that mainly occurs in the liver while muscles probably develop anabolic resistance due to insulin resistance.

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