Bio

Clinical Focus


  • Nephrology
  • Global Health
  • Palliative Care

Academic Appointments


Professional Education


  • Fellowship:Stanford University Nephrology Fellowship (2017) CA
  • Master of Science, Stanford University, EPIDM-MS (2019)
  • Board Certification: Nephrology, American Board of Internal Medicine (2017)
  • Board Certification: Internal Medicine, American Board of Internal Medicine (2015)
  • Residency:Beth Israel Medical Center (2015) NY
  • Medical Education:University of Louisville Medical School (2012) KY
  • Doctor of Medicine, University of Louisville (2016)
  • Bachelor of Science, Georgetown College (2007)

Community and International Work


  • Reducing transmission of HIV/AIDS in Morocco

    Partnering Organization(s)

    Association de lutte contre le Sida

    Location

    International

    Ongoing Project

    No

    Opportunities for Student Involvement

    No

  • Paying for Hemodialysis in Kerala, India: A Survey of Effects on Household Finances

    Partnering Organization(s)

    Centre for Chronic Disease Control

    Populations Served

    South Asians with end-stage renal disease

    Location

    International

    Ongoing Project

    Yes

    Opportunities for Student Involvement

    No

Research & Scholarship

Current Research and Scholarly Interests


Dr. Bradshaw is interested in studying counseling practices and transitions of care among persons with advanced chronic kidney disease and end-stage renal disease in low- and middle-income countries.

Publications

All Publications


  • Paying for Hemodialysis in Kerala, India: A Description of Household Financial Hardship in the Context of Medical Subsidy KIDNEY INTERNATIONAL REPORTS Bradshaw, C., Gracious, N., Narayanan, R., Narayanan, S., Safeer, M., Nair, G. M., Murlidharan, P., Sundaresan, A., Santhi, S., Prabhakaran, D., Tamura, M., Jha, V., Chertow, G. M., Jeemon, P., Anand, S. 2019; 4 (3): 390?98
  • The Authors Reply. Kidney international reports Bradshaw, C., Narayanan, S., Narayanan, R., Anand, S. 2019; 4 (6): 898?99

    View details for DOI 10.1016/j.ekir.2019.03.019

    View details for PubMedID 31194144

    View details for PubMedCentralID PMC6551533

  • Early detection of chronic kidney disease in low-income and middle-income countries: development and validation of a point-of-care screening strategy for India. BMJ global health Bradshaw, C., Kondal, D., Montez-Rath, M. E., Han, J., Zheng, Y., Shivashankar, R., Gupta, R., Srinivasapura Venkateshmurthy, N., Jarhyan, P., Mohan, S., Mohan, V., Ali, M. K., Patel, S., Venkat Narayan, K. M., Tandon, N., Prabhakaran, D., Anand, S. 2019; 4 (5): e001644

    Abstract

    Introduction: Although deaths due to chronic kidney disease (CKD) have doubled over the past two decades, few data exist to inform screening strategies for early detection of CKD in low-income and middle-income countries.Methods: Using data from three population-based surveys in India, we developed a prediction model to identify a target population that could benefit from further CKD testing, after an initial screening implemented during home health visits. Using data from one urban survey (n=8698), we applied stepwise logistic regression to test three models: one comprised of demographics, self-reported medical history, anthropometry and point-of-care (urine dipstick or capillary glucose) tests; one with demographics and self-reported medical history and one with anthropometry and point-of-care tests. The 'gold-standard' definition of CKD was an estimated glomerular filtration rate <60mL/min/1.73m2 or urine albumin-to-creatinine ratio ?30mg/g. Models were internally validated via bootstrap. The most parsimonious model with comparable performance was externally validated on distinct urban (n=5365) and rural (n=6173) Indian cohorts.Results: A model with age, sex, waist circumference, body mass index and urine dipstick had a c-statistic of 0.76 (95% CI 0.75 to 0.78) for predicting need for further CKD testing, with external validation c-statistics of 0.74 and 0.70 in the urban and rural cohorts, respectively. At a probability cut-point of 0.09, sensitivity was 71% (95% CI 68% to 74%) and specificity was 70% (95% CI 69% to 71%). The model captured 71% of persons with CKD and 90% of persons at highest risk of complications from untreated CKD (ie, CKD stage 3A2 and above).Conclusion: A point-of-care CKD screening strategy using three simple measures can accurately identify high-risk persons who require confirmatory kidney function testing.

    View details for DOI 10.1136/bmjgh-2019-001644

    View details for PubMedID 31544000

  • Acute Kidney Injury Due to Diarrheal Illness Requiring Hospitalization: Data from the National Inpatient Sample JOURNAL OF GENERAL INTERNAL MEDICINE Bradshaw, C., Zheng, Y., Silver, S. A., Chertow, G. M., Long, J., Anand, S. 2018; 33 (9): 1520?27

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