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Background Cholangiocarcinoma is an epithelial malignancy of the intrahepatic or extrahepatic biliary tree, primarily driven by chronic inflammation and fibrosis. Fibrosis has been shown to correlate with malignancy, and the aminotransferase-platelet ratio index (APRI) score, a marker for hepatic fibrosis, has proved useful in prognosticating hepatocellular carcinoma. This study aimed to assess the utility of APRI score in predicting post-surgical outcomes in cholangiocarcinoma patients. Methods Clinical data from a total of 152 cholangiocarcinoma patients who underwent surgical resection at the Mayo Clinic were collected. The data were subsequently analyzed to determine if there was a relationship between APRI score and the demographic, laboratory, pathologic and outcome data, including overall survival. To determine the relationship between quantitative and qualitative data and the APRI score, a P-value <0.05 was considered as statistically significant. Results No relationship between APRI score and demographic factors was identified. There were correlations between APRI score and alanine transaminase, albumin and bilirubin, but the remaining laboratory parameters showed no correlation. APRI score did not prove to be useful as a prognostic tool, as it did not correlate with tumor pathology features (tumor grade t-test P=0.86, N stage ANOVA P=0.94, vascular invasion t-test P=0.59, and perineural invasion t-test P=0.14), or with post-surgical recurrence (t-test P=0.22) and mortality (t-test P=0.39). Conclusion APRI score is not a prognostic tool for post-surgical outcomes in patients with cholangiocarcinoma. [ABSTRACT FROM AUTHOR]

Introduction: Genomic variations among individuals can greatly affect their responses to different medications. Pharmacogenomics is the area of study that aims to understand the relationship between these various genetic variations and subsequent drug responses. Many medications used to optimize cardiovascular health are affected by these genetic variants and these relationships can subsequently impact dosing strategies in patients., Objective: This study aims to review the current literature on the clinical applications ofpharmacogenomics for commonly used cardiovascular medications such as Warfarin, Clopidogrel, Statins, Beta Blockers, and ACE-I/ARBs., Methods: Databases like PubMed were accessed to gather background information on pharmacogenomics and to collect data on relationships between genetic variants and subsequent drug response. Information on clinical applications and guidelines was obtained by accessing the CPIC and DPWG databases., Results: This article describes the most up-to-date data on pharmacogenomics relating to commonly used cardiovascular medications. It also discusses the clinical application of pharmacogenomic data as it pertains to medication selection/dosing by detailing current guidelines published by organizations such as the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group., Conclusion: In conclusion, this paper will help medical providers not only better understand pharmacogenomics but also apply it in their day-to-day practice. Clinical guidelines relating to the application of pharmacogenomic data were discussed both in text and graphical format, allowing providers to confidently select medications and adjust doses for common cardiovascular medications so that patients receive the maximum therapeutic benefit with minimal toxicity., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Patients with paradoxical low-flow low-gradient aortic stenosis pose a diagnostic challenge when it comes to assessing the severity of aortic stenosis (AS) noninvasively. We describe 2 patients who underwent exercise cardiac catheterization to augment their cardiac output and assess the severity of AS invasively to allow differentiation of true severe AS from pseudo-severe AS., Competing Interests: The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (© 2024 The Authors.)