Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06215937 |
Other study ID # |
H22-02631 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
February 1, 2024 |
Est. completion date |
January 31, 2026 |
Study information
Verified date |
January 2024 |
Source |
BC Women's Hospital & Health Centre |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Endometriosis is a gynecologic condition where there is growth of endometrial-like tissue
outside the uterus, leading to severe pelvic pain. Despite conventional treatment, many
patients experience persistent pelvic pain due to central sensitization (CS), where the
central nervous system amplifies pain signals. Quantitative Sensory Testing (QST) enables
objective testing of CS. However, there are several patient-reported questionnaires that have
shown promising potential as subjective proxies of CS.
Therefore, in this study, our objective is to validate six patient-reported questionnaires as
measures of CS by comparing them to each other and determining whether each questionnaire
correlates with QST thresholds.
Description:
Purpose: To validate the Central Sensitization Inventory (CSI), the Pain Sensitivity
Questionnaire (PSQ), the Douleur Neuropathique 4 (DN4) questionnaire, the painDETECT (PD-Q)
questionnaire, the Self Administered Leeds Assessment of Neuropathic Symptoms and Signs
(S-LANSS) and the Fibromyalgia (FM) Survey Score (FSS) as subjective proxies for detecting CS
in cases of endometriosis.
Justificaiton: There has yet to be a direct comparison among these six questionnaires in
endometriosis. Further research is needed to explore the overlap and effectiveness of these
measures in the context of endometriosis and CS. Moreover, these six questionnaires have not
been validated with quantitative sensory testing (QST) in endometriosis.Quantitative Sensory
testing (QST) is an objective assessment tool for measuring CS. It quantifies the dynamic,
altered modulation of nociceptive signals and allows for the objective testing of
somatosensory function and central sensitization by applying various stimuli (such as
pressure, pinprick, temperature etc.) to different body regions and recording pain thresholds
(Rolke et al., 2006). Therefore, in this study, our objective is to compare the six
patient-reported questionnaires to each other, and determine whether each questionnaire
correlates with QST thresholds.
Primary Objective: Validate the CSI/PSQ/DN4/PD-Q/S-LANSS/FSS questionnaires as proxies for
detecting CS in cases of endometriosis.
1. Examine the correlation between each questionnaire's scores with each other and the
number of central sensitivity syndromes and other pelvic pain-related comorbidities
(CSS) in patients with endometriosis.
2. Examine the association between questionnaire scores and the baseline QST thresholds in
patients with endometriosis.
Secondary Objectives: Examine how the questionnaires and QST thresholds, correlate with pain
severities, quality-of-life measured using the Endometriosis Health Profile (EHP-30) scores,
demographic variables, as well as examination and surgical phenotyping of endometriosis.
Hypothesis: Higher scores on the CSI/PSQ/DN4/PD-Q/S-LANSS/FSS questionnaires will be
associated with lower QST thresholds (as well as an increased number of CSS and other pelvic
pain-related conditions) indicating greater central sensitization) in people with
endometriosis
Research Design: This study is a cross-sectional correlational study, where all data points
will be collected from participants at one point in time. The data collection process will
include the collection of scores on six pain questionnaires (i.e.CSI, PSQ, DN4, PD-Q, S-LANSS
and FSS) and threshold data from QST. All participants will be asked to complete the
questionnaires. Depending on QST eligibility, determined during the screening assessment, and
informed consent, a subgroup of participants will be asked to complete additional QST to
obtain threshold data. The data analyses will focus on examining the relationships between
each questionnaire and, for participants undertaking both the questionnaires and QST, the
relationship between QST thresholds and each questionnaire.
Independent variables: Scores from the following questionnaires:
- CSI: CSI total score
- PSQ: PSQ minor score (avg. of scores from items 3,6,7,10,11,12,14) and the PSQ total
score (avg. of scores from items 1,2,3,4,6,7,8,10,11,12,14,15,16)
- DN4: DN4 total score (sum of scores from items 1-7)
- PD-Q: PD-Q total score (sum of 7 sensory questions)
- S-LANSS: SLANSS total score
- FSS: FSS total score (WPI+ SS= SS) Main Outcome Variables: QST thresholds for assessment
of CS PPT: avg. of duplicated PPT (kPa) at each test site VDT: avg. of VDT (Hz) at each
test site MPT: avg. of duplicated MPT (NmN) at each test site MDT: avg. pain intensity
rating on a 0-100' numerical rating scale (NRS) at each site SR- Fucntion: avg. pain
intensity rating on a 0-100' numerical rating scale (NRS) at each site WUR: avg. of 5
WUR measurements (NmN) CPT: avg. of duplicated CPT (℃) at each test site CDT: avg of CDT
(℃) at each test site HPT: avg. of duplicated HPT (℃) at each test site WDT: avg. of WDT
(℃) at each test site CPM: avg. cearly CPM-effect and late CPM-effecthange in HPT (pain
intensity on NRS)
Analysis of Data:All statistical analysis will be conducted using R or IBM SPSS, statistical
software that allows for advanced data analysis, modelling, and visualization. For the
primary analysis, we will conduct correlation analysis (Pearsons or Spearman's correlation)
to assess the correlation, strength and direction of the associations between each
questionnaire with each other and with other pelvic pain comorbidities (CSS). We will also
examine the correlation/association between scores on each questionnaire and baseline QST
thresholds. We will also determine lower QST thresholds correlate with an increasing number
of CSS. For our secondary analysis, summary statistics, bivariate testing, T-tests,
Mann-Whitney U test or Kruskal-Wallis tests will be conducted to determine the association
between questionnaires and QST thresholds, and with various socioeconomic, demographic and
anatomical phenotyping factors (e.g., endometriosis Stage, anatomic subtypes, histological
confirmation, coexisting adenomyosis). We will also conduct correlation analysis to determine
the association between pain severities and scores on the EHP-30. Regression analyses may be
done with adjustments will be made for potential confounders (e.g. age, endometriosis stage
and hormone therapy). All findings will be considered statistically significant at a
threshold of p < 0.05.