# Studying Intra-Individual Pain Variability in Sickle Cell Disease and Resolution of Pain after Hematopoietic Cell Transplant: A Novel Model System to Elucidate Mechanisms of Transition to Chronic Pain

> **NIH NIH K23** · EMORY UNIVERSITY · 2021 · $168,107

## Abstract

PROJECT SUMMARY Sickle Cell Disease (SCD) affects over 100,000 individuals in the U.S, mostly from
minority ethnicities, leading to significant morbidity and poorer quality of life, often due to recurrent and chronic
pain. The time course and mechanisms of transition from recurrent acute pain episodes to chronic pain in SCD
represent critical knowledge gaps in the field. A better understanding of the risk factors and mechanisms of
transition to chronic pain can facilitate the development of targeted and effective interventions. The candidate
and her mentor have developed and established content validity of a web-based electronic pain diary which
captures pain on a momentary level, in the patient’s natural environment. These methods also allow the study
of fluctuations or intra-individual variability in pain intensity, distinct from pain intensity, as an important facet of
the pain experience in SCD. These approaches can now be applied to identify the factors that contribute to the
development of chronic pain is SCD patients, as well as to identify the factors that lead to persistence of chronic
pain despite cure of SCD by hematopoietic cell transplantation (HCT). HCT provides a unique model for the
study of chronic pain where the underlying sickling and vaso-occlusion are removed by HCT. In Aim 1 of this
proposal, the candidate will use the framework of two large NIH-sponsored multi-center clinical trials of HCT for
SCD to address the relevance of pain variability on patient-reported outcomes (PROs) of physical social and
emotional functioning, and in identifying phenotypes of pain. In Aim 2, she will use advanced statistical models
and quantitative sensory testing to identify the factors that contribute to pain persistence despite cure of SCD by
HCT, the trajectories of pain and PROs, and will identify the patients whose pain is most likely to benefit from
HCT. In Aim 3, she will, for the first time, determine the feasibility of a prospective, longitudinal study of the
development of chronic pain in SCD. Through this career development award, the candidate will also acquire
expertise in advanced statistical methods, gain experience in managing the collection of pain and PRO endpoints
in large multicenter trials, and in the design and execution of prospective, longitudinal observational studies of
chronic pain in SCD. The candidate is a uniquely qualified and promising early-career clinical investigator in SCD
pain research. Her advisory committee consists of experts in SCD (Dr. Lakshmanan Krishnamurti, Dr. Wally
Smith, and Dr. Clinton Joiner), HCT for SCD (Dr. Lakshmanan Krishnamurti, and Dr. Edmund Waller), and
biostatistical methods for modeling longitudinal diary data (Dr. Courtney McCracken). The Aflac Cancer and
Blood Disorders Center, and Emory University provide an outstanding research environment with requisite
resources and support for the candidate. The research and training plan will allow the candidate to establish
herself as an inde...

## Key facts

- **NIH application ID:** 10223414
- **Project number:** 5K23HL140142-04
- **Recipient organization:** EMORY UNIVERSITY
- **Principal Investigator:** Nitya Bakshi
- **Activity code:** K23 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $168,107
- **Award type:** 5
- **Project period:** 2018-08-15 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10223414

## Citation

> US National Institutes of Health, RePORTER application 10223414, Studying Intra-Individual Pain Variability in Sickle Cell Disease and Resolution of Pain after Hematopoietic Cell Transplant: A Novel Model System to Elucidate Mechanisms of Transition to Chronic Pain (5K23HL140142-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10223414. Licensed CC0.

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