# IMPACC-MEDVAMC

> **NIH NIH R01** · BAYLOR COLLEGE OF MEDICINE · 2021 · $327,994

## Abstract

The objective of this supplement proposal is to understand the causes of airway diseases and thereby improve
diagnosis and therapy of these common and debilitating of human ailments. The Immunophenotyping
Assessment in a COVID-19 Cohort (IMPACC) study coordinates a national, multi-institution consortium,
collecting detailed clinical data and biologic samples from hospitalized COVID-19 infected individuals, with the
goal of identifying immune signatures/molecular biomarkers associated with clinical disease course, to allow
the prioritization of clinical interventions and decision making. This supplement supports Baylor College of
Medicine's and the Michael E. DeBakey VA Medical Center's (MEDVAMC) participation in IMPACC to facilitate
screening and enrollment of inpatients with COVID-19. The proposed supplement research is within the scope
of parent grant R01 AI135803, Fungal Pathogenesis of Moderate to Severe Asthma. This supplement is
submitted for the purpose of Clinical data and sample collection/processing and the scope will be confined to
patients confirmed to have COVID-19. Based on projected trends in COVID-19 disease in MEDVAMC, we
estimate that up to 50 COVID-19 patients can be enrolled within 6 months. As enrollees will be followed for up
to one year, the budget extends to 18 months. Data to be collected will consist of both primary and secondary
clinical and mechanistic endpoints as well as exploratory clinical and mechanistic endpoints.

## Key facts

- **NIH application ID:** 10265764
- **Project number:** 3R01AI135803-04S1
- **Recipient organization:** BAYLOR COLLEGE OF MEDICINE
- **Principal Investigator:** DAVID B CORRY
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $327,994
- **Award type:** 3
- **Project period:** 2020-09-01 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10265764

## Citation

> US National Institutes of Health, RePORTER application 10265764, IMPACC-MEDVAMC (3R01AI135803-04S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10265764. Licensed CC0.

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