Publications by authors named "Daisuke Nango"

Nowadays, medical big data has been developed and made available in a variety of fields such as epidemiology and pharmacovigilance. Spontaneous reporting databases are one category of medical big data and that has been adequate for analysing events related to side effects that rarely occur in general practice. These data are freely available in several countries.

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Background: There have been debates about the association between the administration of glucocorticoids and the development of acute pancreatitis, since many anecdotal cases of this adverse event were affected either by concomitant diseases (such as systemic lupus erythematosus, SLE) that may develop acute pancreatitis without glucocorticoid treatment or by co-administered drugs with high risk for the event. The aim of the present study was to explore whether disproportionally elevated signals of developing acute pancreatitis may be detected in patients receiving glucocorticoids as compared those receiving other drugs.

Methods: We retrieved spontaneously reported cases of acute pancreatitis and clinically related adverse events (target events) from the US Food and Drug Administration Adverse Event Reporting System (FAERS) using 18 preferred terms (PTs).

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Background: A causal relationship between acute pancreatitis and administration of glucocorticoids remains a matter of debate, since most of the reported cases were diagnosed with systemic vascular diseases (including systemic lupus erythematosus and polyarteritis nodosa) that may be responsible for the pancreatitis.

Case Presentation: We report a case of a 51-year-old woman who developed acute pancreatitis after receiving methylprednisolone pulse therapy for the treatment of fulminant autoimmune hepatitis (AIH). She was admitted to our hospital because of overt jaundice and back pain.

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