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Sitagliptin, sold under the brand name Januvia among others, is an anti-diabetic medication used to treat type 2 diabetes. [8] In the United Kingdom it is listed as less preferred than metformin or a sulfonylurea . [ 9 ]
The Ranson criteria form a clinical prediction rule for predicting the prognosis and mortality risk of acute pancreatitis. They were introduced in 1974 by the English-American pancreatic expert and surgeon Dr. John Ranson (1938–1995). [1]
A 2014 review found increased risk of heart failure with saxagliptin and alogliptin, prompting the FDA in 2016 to add warnings to the relevant drug labels. [22] A 2018 meta analysis showed that use of DPP-4 inhibitors was associated with a 58% increased risk of developing acute pancreatitis compared with placebo or no treatment. [23]
Acute pancreatitis (AP) is a sudden inflammation of the pancreas.Causes include a gallstone impacted in the common bile duct or the pancreatic duct, heavy alcohol use, systemic disease, trauma, elevated calcium levels, hypertriglyceridemia (with triglycerides usually being very elevated, over 1000 mg/dL), certain medications, hereditary causes and, in children, mumps.
The PRR is defined as the ratio between the frequency with which a specific adverse event is reported for the drug of interest (relative to all adverse events reported for the drug) and the frequency with which the same adverse event is reported for all drugs in the comparison group (relative to all adverse events for drugs in the comparison ...
Fig.7: The structure of sitagliptin. Sitagliptin (Januvia) has a novel structure with β-amino amide derivatives (Figure 7). Since sitagliptin has shown excellent selectivity and in vivo efficacy it urged researchers to inspect the new structure of DPP-4 inhibitors with appended β-amino acid moiety.
The relative risk (RR) or risk ratio is the ratio of the probability of an outcome in an exposed group to the probability of an outcome in an unexposed group. Together with risk difference and odds ratio , relative risk measures the association between the exposure and the outcome.
The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :