A case-crossover analysis of weather as a urologic chronic pelvic pain syndrome flare trigger in the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network

Li J1, Yu T1, Javed I1, Siddagunta C1, Pakpahan R1, Langston M1, Dennis L2, Kingfield D3, Kos L4, Moore D2, Andriole G1, Lai H1, Colditz G1, Sutcliffe S1

Research Type

Clinical

Abstract Category

Pelvic Pain Syndromes / Sexual Dysfunction

Abstract 536
Urogynaecology 5
Scientific Podium Short Oral Session 29
Friday 6th September 2019
12:30 - 12:37
Hall G3
Painful Bladder Syndrome/Interstitial Cystitis (IC) Prevention Prospective Study
1.Washington University in Saint Louis, 2.University of Arizona, 3.University of Colorado Boulder, 4.University of Oklahoma
Presenter
S

Siobhan Sutcliffe

Links

Abstract

Hypothesis / aims of study
Limited qualitative and cross-sectional data suggest that cold weather and lesser sunlight worsen urologic chronic pelvic pain syndrome (UCPPS) symptoms and trigger UCPPS flares. However, no studies to date have tested this hypothesis prospectively. To address this gap, we linked publicly available weather data to our case-crossover study of UCPPS flare triggers in the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Epidemiology and Phenotyping Study.
Study design, materials and methods
The MAPP Study was a one-year longitudinal study of UCPPS patients designed to study the “usual-care” natural history of UCPPS and to identify sub-groups of patients with possible differing etiology and clinical course. It included men with chronic prostatitis/chronic pelvic pain syndrome or interstitial cystitis/bladder pain syndrome and women with interstitial cystitis/bladder pain syndrome. Participants were followed biannually at in-person clinic visits and biweekly at online study assessments. 

As part of an embedded case-crossover study of flare triggers, participants were asked whether they were currently “experiencing a flare of their urologic or pelvic pain symptoms […] meaning symptoms that are much worse than usual” at each biweekly online assessment. Those who replied affirmatively were asked an additional set of questions about their flare symptoms, flare start date, and exposures in the 3 days before their flare. These questions were asked for the first 3 flares and at 3 randomly selected times when participants did not report a flare. We linked these data to daily values of temperature, barometric pressure, relative humidity, and ultraviolet index (UVI) by participants’ 3-digit zip codes. Weather data were obtained from the National Oceanic and Atmospheric Administration and National Aeronautics and Space Administration Ozone Monitoring Instrument. Weather values in the 3 days before (day -1, day -2, and day -3) and the day of a flare (day 0), as well as daily changes in these values, were compared to corresponding non-flare values by conditional logistic regression. Time since the last high UVI (≥6) day was also analyzed. Differences in flare rates by astronomical season (winter, spring, summer, and fall) and season defined by vegetation index (to account for variations in climate across participating MAPP sites) were investigated in the full study population by Poisson regression. With a sample size of 290 case-crossover participants, we had at least 80% power to detect odds ratios (ORs) as small as 1.6 to 1.7, assuming 1:1 matching, a prevalence of exposure in controls of 20 to 30%, a correlation between observations from the same participant of 0.1 to 0.2, two-sided tests, and an α-level of 0.05.
Results
573 flare and 792 non-flare observations (from 290 participants) were included in the analysis. Overall, no associations were observed for temperature, barometric pressure, relative humidity, or changes in these measures, in the 3 days before or the day of a flare and flare onset (Table 1). A suggestion of a protective association was observed for increases in UVI values in the 3 days before a flare, but none of these associations were statistically significant. Time since last high UVI day was not associated with flares. Finally, no differences in flare rates were observed by astronomical season: spring: OR=1.06 (95% confidence interval (CI): 0.91-1.24); summer: OR=1.04 (95% CI: 0.89-1.21); and fall: OR=1.05 (95% CI: 0.90-1.23) compared to winter; or by season defined by high vegetation index (OR=1.05 (95% CI: 0.92-1.20).
Interpretation of results
Overall, no associations were observed between weather and the onset or frequency of flares.
Concluding message
We found no evidence to suggest that weather triggers flares in most UCPPS patients. However, we cannot rule out the possibility that a smaller subset of patients are susceptible to the influence of weather.
Figure 1 Table 1: Associations between weather in the past three days and UCPPS flare onset, Multidisciplinary Approach to the Study of Chronic Pelvic Pain Epidemiology and Phenotyping Study, 2009-2013.
Disclosures
<span class="text-strong">Funding</span> Funded by NIDDK grants: U01 DK082315, U01 DK82316, U01 DK82325, U01 DK82333, U01 DK82342, U01 DK82344, U01 DK82345, and U01 DK82370 <span class="text-strong">Clinical Trial</span> No <span class="text-strong">Subjects</span> Human <span class="text-strong">Ethics Committee</span> The MAPP Study was approved by the Institutional Review Board at each participating site and the Data Coordinating Center. All participants provided written informed consent. <span class="text-strong">Helsinki</span> Yes <span class="text-strong">Informed Consent</span> Yes