Selected Publications

Publications

  • Wang X, Winterstein AG, Alrwisan A, Antonelli PJ. Risk for Tympanic Membrane Perforation After Quinolone Ear Drops for Acute Otitis Externa. Clin Infect Dis.  2020 Mar 3;70(6):1103-1109 https://www.ncbi.nlm.nih.gov/pubmed/31044229
  • Sarayani A, Cicali B, Henriksen CH, Brown JD. Safety signals for QTprolongation or Torsades de Pointes associated with azithromycin with or without chloroquine or hydroxychloroquine. Res Social Adm Pharm. 2020 Apr 19. pii:S1551-7411(20)30391-0 https://www.ncbi.nlm.nih.gov/pubmed/32327397
  • Vouri SM, Jiang X, Manini TM, Solberg LM, Pepine C, Malone DC, Winterstein AG. Magnitude of and Characteristics Associated With the Treatment of Calcium Channel Blocker-Induced Lower-Extremity Edema With Loop Diuretics. JAMA Netw Open. 2019 Dec 2;2(12):e1918425 https://www.ncbi.nlm.nih.gov/pubmed/31880802
  • Wei YJ, Chen C, Sarayani A, and Winterstein AG. Performance of Centers for Medicare and Medicaid Services’ Opioid Overutilization Criteria for Classifying Beneficiaries with Opioid Use Disorder or Overdose. 2019; 321(6):609-611. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439582
  • Lo-Ciganic WH, Huang JL, Zhang HH, Weiss JC, Wu Y, Kwoh CK, Donohue JM, Cochran G, Gordon AJ, Malone DC, Kuza CC, Gellad WF. Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions. JAMA Netw Open. 2019 Mar 1;2(3):e190968. https://www.ncbi.nlm.nih.gov/pubmed/30901048
  •  Hincapie-Castillo JM, Goodin A, Possinger MC, Usmani SA, Vouri SM. Changes in Opioid Use After Florida’s Restriction Law for Acute Pain Prescriptions. JAMA Netw Open. 2020 Feb 5;3(2):e200234 https://www.ncbi.nlm.nih.gov/pubmed/32108887

News Releases

UF Health study: Popular quinolone ear drops carry risk of eardrum perforation

UF researchers report mixed results in safety study of drugs seen as possible COVID-19 therapeutics

UF study finds excess use of loop diuretics following initiation of dihydropyridine calcium channel blockers

UF study questions accuracy of CMS opioid safeguards

New machine-learning model found effective at predicting risk of opioid overdose

New Florida law leads to decline in opioid use, according to UF study