Dr. Julie Ishida is establishing herself as a young investigator in patient-oriented clinical research aimed at improving the quality of medication prescribing for patients with kidney disease. Her work to date includes studies pertaining to medication safety in hemodialysis patients, and this K23 proposal will allow Dr. Ishida to further her research and training with the ultimate goal of establishing herself as a national leader in optimizing the appropriateness of medication prescribing for patients with kidney disease. In this application, Dr. Ishida will focus on informing the decision-making process for prescribing analgesic medications to hemodialysis patients through the following aims:
Aim 1 : Evaluate the effect of analgesic medications on risk of major adverse outcomes in hemodialysis patients.
Aim 2 : Define prediction models for determining risk of major adverse outcomes based on individual hemodialysis patient and analgesic medication characteristics.
Aim 3 : Develop and pilot test a digital tool that providers can use to assess the risks for major adverse outcomes in hemodialysis patients receiving analgesic medications. The collaborative environment at University of California, San Francisco (UCSF) will provide an ideal environment for Dr. Ishida's career development. She has assembled a multi-disciplinary mentorship team led by Dr. Kirsten Johansen, Professor of Nephrology at UCSF and the San Francisco VA (SFVA), and an expert clinical researcher on the optimal care of hemodialysis patients. Her co-mentoring team will include: Dr. Charles McCulloch, Professor and Head of the Division of Biostatistics at UCSF, an expert in longitudinal analysis; Dr. Michael Steinman, Associate Professor of Medicine at UCSF and the SFVA, a national leader in improving the quality of medication prescribing for older adults; Dr. Annette Molinaro, Associate Professor in the Departments of Neurosurgery ad Epidemiology & Biostatistics at UCSF, an expert in risk prediction methods and Dr. Christopher Koenig, Assistant Professor of Medicine at UCSF and the SFVA, an expert in qualitative research methods and implementation science. Dr. John Hixson, Assistant Professor of Neurology at the SFVA and a digital health expert, will provide guidance regarding the development of the digital risk prediction tool. This award will allow Dr. Ishida to obtain career development mentorship and training in the following areas: a) advanced biostatistics and study design, b) risk prediction methods, c) primary data collection and qualitative research methods and d) implementation science. By the end of the K23 award period, Dr. Ishida will apply for R01 funding to conduct a randomized trial of an intervention, which will incorporate the risk predictio tool developed in the K23 project, on the appropriateness of analgesic prescriptions in hemodialysis patients.

Public Health Relevance

Pain is a highly prevalent and undertreated symptom in hemodialysis patients and has been associated with worse quality of life and survival in this patient population. Hemodialysis patients may be particularly vulnerable to adverse events from the use of pain medications, but there are no currently available tools for predicting an individua patient's risk for these events. Personalized tools that would predict risk for complications from pain medications would help clinicians to better tailor their pain medication prescriptions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
1K23DK103963-01
Application #
8804847
Study Section
Special Emphasis Panel (ZDK1)
Program Officer
Rankin, Tracy L
Project Start
2015-08-01
Project End
2020-05-31
Budget Start
2015-08-01
Budget End
2016-05-31
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Ishida, Julie H; McCulloch, Charles E; Steinman, Michael A et al. (2018) Opioid Analgesics and Adverse Outcomes among Hemodialysis Patients. Clin J Am Soc Nephrol 13:746-753
Steigerwald, Stacey; Wong, Peggy O; Cohen, Beth E et al. (2018) Smoking, Vaping, and Use of Edibles and Other Forms of Marijuana Among U.S. Adults. Ann Intern Med 169:890-892
Ishida, Julie H; McCulloch, Charles E; Steinman, Michael A et al. (2018) Authors' Reply. J Am Soc Nephrol 29:2771-2772
Kaysen, George A; Grimes, Barbara; Dalrymple, Lorien S et al. (2018) Associations of lipoproteins with cardiovascular and infection-related outcomes in patients receiving hemodialysis. J Clin Lipidol 12:481-487.e14
Keyhani, Salomeh; Steigerwald, Stacey; Ishida, Julie et al. (2018) Risks and Benefits of Marijuana Use: A National Survey of U.S. Adults. Ann Intern Med 169:282-290
Ishida, Julie H; McCulloch, Charles E; Steinman, Michael A et al. (2018) Gabapentin and Pregabalin Use and Association with Adverse Outcomes among Hemodialysis Patients. J Am Soc Nephrol 29:1970-1978
Ishida, Julie H; Auer, Reto; Vittinghoff, Eric et al. (2017) Marijuana Use and Estimated Glomerular Filtration Rate in Young Adults. Clin J Am Soc Nephrol 12:1578-1587
Ishida, Julie H; Johansen, Kirsten L (2016) Exclusion of Patients With Kidney Disease From Cardiovascular Trials. JAMA Intern Med 176:124-5