Absent left common carotid artery in a right aortic arch: Separate origins of left internal and external carotid arteries from brachiocephalic artery

We present a case of cyanotic congenital heart disease with left common carotid artery agenesis in the setting of the right aortic arch highlighting the potential implications in management.     

Ruptured sinus of valsalva presenting late following repair of tetralogy of fallot

Rupture of sinus of valsalva following repair of tetralogy of fallot (TOF) is very rare. It should be suspected as a cause of recurrent or prolonged pleural effusion and congestive cardiac failure in patients who have undergone repair of TOF. We report one such patient.     

Utilization of peritoneal dialysis in the United States: Reasons for underutilization,specifically in New York State and the boroughs of New York City

Peritoneal dialysis (PD) is currently underutilized in the United States (US), even within resource-rich neighborhoods. We analyzed data from US Renal Data Service to determine PD utilization within the US, New York State (NYS), selected boroughs within New York City (NYC), and Boston, Massachusetts. We then compared the odds of selecting PD with hemodialysis (HD) and analyzed how diabetes mellitus status, age >65 years, gender, and race influenced PD utilization between 2010 and 2016. We then compared a high-volume PD center (HVC) with a low-volume PD center (LVC). The odds of starting PD vs HD were as follows: Brooklyn 0.30 (0.25-0.36; <0.0001), Bronx 0.56 (0.47-0.67; <0.0001), Queens 0.66 (0.54-0.80; <0.0001), and Manhattan 0.61 (0.52-0.71; <0.0001). In 2016, the odds of starting PD compared with the rest of the US were as follows: Brooklyn 0.14 (0.08-0.22; <0.0001), Bronx 0.39 (0.27-0.56; <0.0001), Queens 0.32 (0.23-0.45; <0.0001), Manhattan 0.54 (0.36-0.79; 0.002), and Boston 0.89 (0.58-1.4; 0.624). Analysis of influencing factors showed that only age >65 significantly (<0.0001) influenced PD modality selection in Brooklyn and Boston. Differences between HVC and LVC in terms of modality transition, peritonitis rate, or provider:patient ratio were not statistically significant. Factors that influence PD utilization in urban neighborhoods are discussed and remediation measures are proposed.     

Acute heart failure after liver transplantation: A narrative review

Acute heart failure (AHF) is an under recognized yet potentially lethal complication after liver transplantation (LT) surgery. The increase in incidence of liver transplantation amongst high-risk patients and the leniency in the criteria for transplantation, predisposes these patients to postoperative AHF and the antecedent morbidity and mortality. The inability of conventional preoperative cardiovascular testing to accurately identify patients at risk for post-LT AHF poses a considerable challenge to clinicians caring for these patients. Even if high-risk patients are identified, there is considerable ambiguity in the candidacy for transplantation as well as optimization strategies that could potentially prevent the development of AHF in the postoperative period. The intraoperative and postoperative management of patients who develop AHF is also challenging and requires a well-coordinated multidisciplinary approach. The use of mechanical circulatory support in patients with refractory heart failure has the potential to improve outcomes but its use in this complex patient population can be associated with significant complications and requires a stringent risk-benefit analysis on a case-by-case basis.     

Quantitative structure–activity relationship (QSAR) studies as strategic approach in drug discovery

Drug design is a process which is driven by technological breakthroughs implying advanced experimental and computational methods. Nowadays, the techniques or the drug design methods are of paramount importance for prediction of biological profile, identification of hits, generation of leads, and moreover to accelerate the optimization of leads into drug candidates. Quantitative structure–activity relationship (QSAR) has served as a valuable predictive tool in the design of pharmaceuticals and agrochemicals. From decades to recent research, QSAR methods have been applied in the development of relationship between properties of chemical substances and their biological activities to obtain a reliable statistical model for prediction of the activities of new chemical entities. Classical QSAR studies include ligands with their binding sites, inhibition constants, rate constants, and other biological end points, in addition molecular to properties such as lipophilicity, polarizability, electronic, and steric properties or with certain structural features. 3D-QSAR has emerged as a natural extension to the classical Hansch and Free–Wilson approaches, which exploit the three-dimensional properties of the ligands to predict their biological activities using robust chemometric techniques such as PLS, G/PLS, and ANN. This paper provides an overview of 1-6 dimension-based developed QSAR methods and their approaches. In particular, we present various dimensional QSAR approaches, such as comparative molecular field analysis (CoMFA), comparative molecular similarity analysis, Topomer CoMFA, self-organizing molecular field analysis, comparative molecule/pseudo receptor interaction analysis, comparative molecular active site analysis, and FLUFF-BALL, 4D-QSAR, and G-QSAR approaches.     

Structural requirements for imidazo[1,2-a]pyrazine derivatives as Aurora A kinase inhibitors and validation of the model

Aurora kinases belong to the family of serine/threonine kinases. They are divided into three subclasses, Aurora A kinase, Aurora B kinase, and Aurora C kinase and are reported to be vital for cell proliferation. Abnormal expression of these enzymes leads to cancer. Predictive CoMFA and CoMSIA based quantitative structure activity relationship models have been developed on 51 imidazo[1,2-a]pyrazine derivatives reported previously by Merck Research Laboratories. AutoDock was used for docking of the most active compound (34) and the conformation thus obtained was used for the alignment of 3D structures. The developed (CoMSIA-SEHD) model showed good predictive ability with predictive squared correlation coefficient (r ²) value of 0.752. The best model was validated systematically using different validation parameters. The CoMSIA model gave useful information to understand features required to modify and develop new potential Aurora kinase inhibitors.