# Comp B National Spina Bifida Patient Registry at Vanderbilt Children's Hospital Component

> **NIH ALLCDC U01** · VANDERBILT UNIVERSITY MEDICAL CENTER · 2021 · $80,000

## Abstract

PROJECT SUMMARY
Advances in medical care have increased longevity for babies born with spina bifida, the most common
permanently disabling birth defect in the United States. However, long-term health outcomes are limited, practice
patterns vary, and best practices are not well defined. The Spina Bifida Program at Monroe Carell Jr. Children's
Hospital at Vanderbilt (MCJCHV) evaluates over 250 patients with spina bifida each year. The neurosurgery,
orthopaedics, and urology programs at MCJCHV have set the following goals for this study: 1) to approach each
eligible patient in our program for enrollment, 2) to contribute longitudinal data on health status, clinical care, and
outcomes for consented patients to the NSBPR over the five year study period, and 3) to evaluate NSBPR data
to answer hypothesis-driven questions about outcomes in spina bifida. The PI along with the clinical research
coordinator will ensure quality control of data submitted to the CDC. The PI and the Spina Bifida Program have
a demonstrated record of productive research with the NSBPR and other national databases. Published results
from this study will help to inform best practice clinical guidelines for spina bifida.

## Key facts

- **NIH application ID:** 10220800
- **Project number:** 5U01DD001235-03
- **Recipient organization:** VANDERBILT UNIVERSITY MEDICAL CENTER
- **Principal Investigator:** Stacy T Tanaka
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2021
- **Award amount:** $80,000
- **Award type:** 5
- **Project period:** 2019-09-01 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10220800

## Citation

> US National Institutes of Health, RePORTER application 10220800, Comp B National Spina Bifida Patient Registry at Vanderbilt Children's Hospital Component (5U01DD001235-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10220800. Licensed CC0.

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