Anne M. Rompalo, MD

CRS:

JHU

Role:

Investigators

Position:

HPTN Site Leader

Email:

arompalo@jhmi.edu

Anne M. Rompalo, M.D., Sc.M.  Dr. Rompalo is a Professor of Medicine and Gynecology at the Johns Hopkins University School of Medicine (JHUSOM), with joint appointments in Epidemiology, International Health and Population, Family and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health.  She is Medical Director of the CDC-sponsored Sexually Transmitted Diseases (STD)/HIV Prevention Training Center at Johns Hopkins (PTC), and has previously been Acting Medical Director of the Baltimore City Health Departments STD Clinics and Medical Director of the Office of Population Affairs Male Training Center.  She has over 15 years of experience as the Medical Director of the STD/HIV PTC, and has been a key investigator on several studies focused on the natural history of HIV among women including the HERS (HIV Epidemiology Research Study) and HIV prevention among U.S. women at high risk for infection, HPTN 064 trial. 

  • Investigator of Record, HPTN 064
  • Investigator of Record, HPTN 083

Categories

Leadership Committees
CRS
Roles

Clinical Trials

A5128: Consent for Use of Stored Patient Specimens for...

The purpose of this study is to obtain informed consent to use stored human biological materials (HBM) (e.g., blood and other...

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A5361s: Pitavastatin to REduce Physical Function Impairment...

A5361s is a prospective study to determine the effects of pitavastatin on physical function. The study will enroll participants...

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A5288: MULTIOCTAVE, Management Using the Latest Technologies...

The study is being done to: test a strategy of using a resistance test to choose anti-HIV drugs. Resistance tests look at the...

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P2010: Phase III Study of the Virologic Efficacy and Safety...

IMPAACT 2010 is a Phase III, three-arm, randomized, open-label study of HIV-1-infected pregnant women initiating either a...

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NWCS 445: Novel Biomarkers to Shorten TB Treatment

Objectives: Primary: To develop a highly predictive algorithm that identifies TB patients who will be cured by treatment...

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