Results
Of the 424 enrolled participants, we excluded two who became pregnant and 19 who did not provide flare status information at least three times during follow-up, leaving 403 participants in the analysis. Forty-five percent of participants were male and most identified as White (88.3%, Appendix Table 2 ). The average age was 43.6 years and the average condition duration was 8.60 years. At baseline, participants reported a moderate level of UCPPS symptoms (mean=5.08–5.56 out of 10) and many had bladder hypersensitivity (82.9%), extra-pelvic pain (73.7%) and/or a COPC (38.0%).
Participants provided information on their flare status an average of 17.6 times (range: 3 (2.0%) to 25 (11.8%)), with wide variation in the number of flares reported (range: 0 (19.5%) to 20 (0.3%); median incidence rate=0.13/assessment). Consistent with our previous observation of early symptom regression in this cohort, flare frequency was considerably higher at baseline (0.28/assessment) than later during follow-up (0.11/assessment post-visit 12). As this higher baseline flare frequency may not have been representative of participants’ typical frequency, but possibly part of their motivation to join MAPP, we limited all further analyses to visit 3 onwards (n=385 participants). In this more restricted sample, we observed similarly wide variability in flare frequency, with 24.2% of participants reporting no flares, 22.9% 1 flare, 28.3% 2–3 flares, and 24.6 ≥4, up to a maximum of 18 flares over the 11-month follow-up (0.3% of participants; median incidence rate=0.13/assessment, range=0.00–1.00/assessment; Appendix Figure 1 ).
In unadjusted analyses, female sex; younger age; IC/BPS (versus CP/CPPS) symptoms (males only); greater average non-flare pelvic pain and urologic symptom intensity; bladder hypersensitivity; extra-pelvic pain; several individual COPCs, increasing number of COPCs, and any COPC; and worsening pelvic pain and urologic symptom trajectories were each associated with greater flare frequency ( Table 1 ). After adjustment, findings for IC/BPS symptoms (males only), bladder hypersensitivity, ≥2 COPCs, and worsening pain and urologic symptom trajectories remained statistically significant.
Among participants who completed the Brief Flare Risk Factor Questionnaire at least twice (n=807 non-flare and 716 flare assessments from 297 participants), non-flare values ranged from 0–10 for both pelvic pain (mean=3.15) and urologic symptoms (mean=3.35), with four participants reporting values of 10 for pelvic pain and/or urologic symptoms ( Table 2 , Figure 1 ). These values were significantly worse during flares (mean=5.78 for pelvic pain and 5.07 for urologic symptoms, ranges: 0–10). Almost all participants reported values >0 for pelvic pain and urologic symptoms during flares, except for two with all values of 0. On average, symptoms increased by 2.63 (range: −4 to 9) for pelvic pain and 1.72 (range: −6 to 8) for urologic symptoms during flares. Similar increases were observed for other UCPPS symptoms and overall pain in the week before participants’ flare assessments. With respect to flare duration (reported for 579 flares), 20.0% of flares had lasted 1–2 days by the time of participants’ flare assessment, 40.2% 3–6 days, 24.2% 7–10 days, and 15.5% >10 days (range=1–150 days). In general, current pelvic pain decreased slightly, but significantly, with increasing flare duration, whereas current urologic symptoms increased slightly with increasing duration.
Considering patterns of symptoms, most flares involved an increase (≥1 point above non-flare symptoms) in both pelvic pain and urologic symptoms (60.6%), with smaller percentages involving increases in pelvic pain (20.1%) or urologic symptoms only (5.8%). Four percent (4.3%) of flares had stable symptoms and 9.2% had a decrease ( Figure 1 ). When flares from the same participant were examined, a high degree of within-participant variability was observed (pelvic pain=37.8% of the total variance, urologic symptoms=26.2%, and duration=94.3%), indicating that participants did not always experience the same intensity or duration of symptoms during flares, but that these characteristics could vary.
In unadjusted analyses, female sex, worse non-flare pelvic pain and urologic symptom intensity, and fibromyalgia were associated with more painful flares ( Table 3 ). With the exception of fibromyalgia, these factors were also associated with flares with worse urologic symptoms, as was earlier study quarter, longer condition duration, IC/BPS symptoms (males only), and bladder hypersensitivity. Having a stable urologic symptom trajectory was protective for flares with worse urologic symptoms. Finally, worse non-flare pain intensity, irritable bowel syndrome, and any COPC were associated with longer flares.
In adjusted analyses, female sex and greater non-flare pelvic pain intensity remained significantly associated with more painful flares; and female sex, greater non-flare urologic symptom intensity, and bladder hypersensitivity remained significantly associated with flares with worse urologic symptoms. Older age increased the odds of flares with worse urologic symptoms. Finally, worse non-flare pain intensity, irritable bowel syndrome, and any COPC remained significantly associated with longer flares. Having a stable pelvic pain trajectory was protective.
Discussion
In this foundational flare study - the largest and most comprehensive to date - we found that pelvic pain and urologic symptom flares were common, but variable in frequency, intensity, and duration. This variability was observed both across and within participants. We also found that female sex, worse non-flare symptoms, and bladder hypersensitivity or COPCs were independently associated with greater flare burden, including greater flare frequency, symptom intensity, and/or duration.
To our knowledge, only two previous studies have documented flare frequency over time in participants to avoid recall inaccuracy. 14 , 15 Similar to our analysis, these studies (one of which included a small subset of our participants) observed a wide range in flare frequency, although one was considerably lower (67.9% 0 and 5.7% 3–4 flares) than our distribution (24.4% 0 and 20.5% 3–4 flares), most likely because of its more restrictive flare definition (i.e., UTI symptoms). It is also possible we may have double-counted flares lasting >2 weeks, as these could have been captured on more than one bi-weekly assessment. Nevertheless, our estimates are still likely lower than the true frequency of flares because we did not capture flares that occurred between bi-weekly assessments. Our estimates also did not distinguish flares by intensity or duration, both of which have been found to contribute to their degree of impact and bother. 12 , 13 Therefore, future studies should consider using additional methods, such as diaries or ecological momentary assessment, to obtain more accurate estimates of flare frequency, both overall and by flare type.
Similar to flare frequency, our descriptive findings for flare characteristics are consistent with those from the small number of studies conducted to date. 12 , 13 , 15 These studies, many of which included a small subset of our participants, found that, although most flares involved significant increases in both pelvic pain and urologic symptoms, they could also vary in type (pelvic pain only, urologic symptoms only, or both) and intensity (mild to severe) of symptoms, both across and within participants. These findings are consistent with our observations of: 1) increases in both pelvic pain and urologic symptoms in a large proportion of flares (60.7%); 2) wide ranges in flare symptom intensity (0–10); 3) wide ranges in changes in symptom intensity during flares (−6 to 9); and 4) considerable within-participant variability in symptom intensity (26.2–37.8% of the total variance). Of note, our large sample size also allowed us to observe a small number of flares not previously described by other studies with seemingly stable or decreasing symptom levels. These unexpected flares may potentially be explained by: 1) inclusion of non-flare symptom values of 10, precluding notable symptom increases during flares; 2) changes in symptoms during flares besides pelvic pain, urgency, and frequency, such as genital pain or pain with urination only; 3) long time lags between non-flare and flare assessments, making these values less comparable; and 4) participant error. Similar to previous studies, we also observed wide variability in flare duration, ranging from 1–150 days. However, our distribution was likely shifted more towards longer flares than previous surveys and focus groups because of length-biased sampling 30 (i.e., longer flares would be more likely to be captured on bi-weekly assessments than shorter flares). Alternatively, our estimates may be slightly under-estimated because flare duration was truncated at bi-weekly assessments. More accurate estimates will require following participants for the full duration of their flare.
Finally, our findings for flare risk factors are consistent with those from the limited literature on this topic to date. 13 – 15 In their cohort study of IC/BPS patients, Stanford and McMurphy 14 observed that participants with higher average baseline pain/urgency/frequency scores were borderline significantly more likely to report a UTI-symptom flare than those with lower scores, similar to our observation of crude and lesser-adjusted positive associations for greater non-flare symptom intensity with flare frequency. We also found that participants with worse non-flare symptoms were more likely to report flares with greater symptom intensity and duration (pelvic pain only), and that those with worsening pelvic pain and urologic symptom trajectories were more likely to report greater flare frequency, consistent with focus group participant reports that non-flare and flare symptoms worsen and improve together – i.e., that when their condition is “bad”, they experience worse non-flare symptoms, as well as more frequent, symptomatic, and longer flares. 12 An additional novel finding from our study was that associations between non-flare symptoms and flare frequency attenuated after adjustment for bladder hypersensitivity and number of COPCs, suggesting they may have been explained by these two characteristics rather than by a link between worse non-flare symptoms and greater flare frequency – for instance, as a marker of overall worse clinical status.
With respect to sex, we previously observed that female participants were more likely to report days-long flares 13 , 15 and less likely to report minutes-long flares than male participants in minimally-adjusted, site-specific analyses. 13 As our current study design may have been more likely to capture day(s)- rather than minutes-long flares, we believe these previous findings are consistent with our crude and lesser-adjusted observations of greater flare frequency among female than male participants and, at least, not inconsistent with our observation of no difference in flare duration by sex among the sample of longer flares likely captured by our study design. Further novel findings from our study were: 1) that associations between female sex and greater flare frequency attenuated after adjustment for bladder hypersensitivity and COPCs, suggesting they may have been explained by these two factors; and 2) that female participants were independently more likely to report greater flare symptom intensity than male participants.
In addition to non-flare symptoms and sex, we found that participants with bladder hypersensitivity or COPCs (various individual, any, or multiple COPCs), but not extra-pelvic pain, had greater flare frequency, worse urologic symptoms during flares (bladder sensitivity only), and longer flares (COPCs only) in adjusted analyses. These novel, but slightly contradictory, findings suggest that both peripheral and central pain mechanisms may potentially contribute to flare burden. Finally, although some associations did not persist in adjusted analyses, this does not mean that certain sub-groups did not experience greater flare burden – only that their burden was more related to their bladder hypersensitivity and COPCs than to other characteristics.
Although our study is the largest and most detailed cohort study of flares to date, it is still limited by use of data collected for a different research purpose (i.e., to identify flare triggers with purposefully minimal ascertainment/characterization of flares). As such, we did not have information on flares that occurred between bi-weekly assessments, the full duration of flares, or characteristics of all flares (only a maximum of three flares/participant). These limitations reduced our ability to: 1) describe the frequency of flares overall and by symptom intensity and duration; 2) describe the full distribution of flare intensity and duration; and 3) detect associations, especially for flare intensity and duration, as the 1–3 flares included per participant may not have been representative of their typical flare experience. Finally, a further major limitation is our minimal collection of information on UCPPS therapies, precluding analysis of their influence on flare burden.
In summary, we found that the majority of participants experienced at least one flare of their pelvic pain and urologic symptoms during the 11-month follow-up, with wide variability in flare frequency, intensity, and duration between and within participants. In general, flares were independently more common, symptomatic, and/or longer-lasting in female participants, and those with worse non-flare symptoms, bladder hypersensitivity, or COPCs. Together, these findings provide foundational, descriptive information on flares and identify patient sub-groups to target and study further for flare management and prevention.
Introduction
Interstitial cystitis/bladder pain syndrome (IC/BPS) and chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) are characterized by persistent pelvic or bladder pain and urologic symptoms, such as urgency and frequency. The etiology of these conditions, collectively referred to as urologic chronic pelvic pain syndrome (UCPPS), is unknown and both are difficult to diagnose and treat. 1 , 2 They occur in approximately 1–7% of the population, 3 – 6 and contribute to significant reductions in physical and mental health, sexual health, and work productivity, as well as considerable personal and societal healthcare expenditures. 4 , 7 – 11
Similar to many other chronic pain conditions, UCPPS symptoms are not static, but instead fluctuate over time. Symptom exacerbations (“flares”) vary widely in presentation, with pelvic pain intensity ranging from mild to severe, flare duration from minutes to months, and flare frequency from less than once per year to multiple times per day, based on patient surveys and focus groups. 12 , 13 A similarly wide range of flare frequency has been observed in the few longitudinal studies conducted to date. In a previous IC/BPS cohort study, 67.9% of participants reported no flares over the two-year follow-up, whereas 5.7% reported up to 3–4 flares (defined as urinary tract infection (UTI) symptoms). 14 Similarly, in our small, previous UCPPS longitudinal study, 51.8% of participants reported no flares over the one-year follow-up, whereas 12.5% reported 3–4 flares (defined as urologic or pelvic pain symptoms that are much worse than usual lasting at least one day) over the 20 days they completed symptom diaries. 15 Both of these studies were limited, however, to specific manifestations of flares (UTI symptoms or day(s)-long duration), and neither examined risk factors for greater flare burden. Therefore, we used data from the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Epidemiology and Phenotyping study to describe the frequency and characteristics of the full range of flares, and risk factors for these features over the one-year follow-up.
Participants
The MAPP Epidemiology and Phenotyping Study was a one-year, multi-site longitudinal study designed to study the “usual-care” natural history of UCPPS and to identify sub-groups of patients with possible differing etiology and clinical course. 16 , 17 Participants completed an extensive battery of questionnaires at bi-annual in-person visits and a shorter set at online bi-weekly assessments. The MAPP Epidemiology and Phenotyping Study was approved by the institutional review boards at each site and the data coordinating center. All participants provided written informed consent.
Flares were assessed and characterized as part of a case-crossover study of flare triggers embedded into the main longitudinal study. 18 Briefly, at each bi-annual in-person and bi-weekly assessment, participants were asked to report their current flare status using the following question: “Are you currently experiencing a flare of your urologic or pelvic pain symptoms? By this we mean, are you currently experiencing symptoms that are much worse than usual” ( Appendix Table 1 ). If participants responded affirmatively, they were directed to a second questionnaire – the Brief Flare Risk Factor Questionnaire 17 – that included additional questions about their: 1) flare start date to identify individual flares and calculate a crude (truncated) estimate of flare duration; and 2) current levels of pelvic pain, urgency, and frequency to characterize the intensity of participants’ pelvic pain and urologic symptoms during flares (using the maximum of urgency and frequency to describe urologic symptoms because of their high degree of correlation). This additional questionnaire was administered for the first three reported flares and at three randomly selected times when participants did not report a flare (once per 4-month period). Recalled symptom data averaged over the past week (which could possibly include some flare and non-flare days) was also used to describe symptoms during flares.
Possible risk factors included study quarter; sex; age; duration of symptoms and symptoms of IC/BPS or CP/CPPS at baseline (males only); average non-flare pelvic pain and urologic symptom intensity from visit 3 onwards; and baseline self-reported bladder hypersensitivity, 19 whole body pain widespread-ness, 20 and presence and number of chronic overlapping pain conditions (COPCs). 21 We also examined pelvic pain and urologic symptom trajectories 22 from visit 3 onwards as possible correlates of flare burden.
For the flare frequency analyses, we limited the sample to participants who reported their current flare status at least three times. Crude incidence rates were calculated by dividing the number of assessments at which participants reported a flare (not taking into consideration flare start date, as this was assessed for three flares only) by the number of completed assessments per participant. Relative rates were calculated by generalized linear models, using the number of completed assessments as the offset; generalized estimating equations for robust variance estimation; and Poisson, negative binomial, or generalized Poisson distributions depending on the dispersion of the data. 23 – 25 Models were initially adjusted for study site, sex, age, and average non-flare pelvic pain and urologic symptom intensity as markers of participants’ overall clinical status. Adjustment for baseline flare status, which might influence participants’ baseline phenotypic characteristics and correlate with greater flare frequency, was also considered, but not retained, because of its minimal influence on risk factor estimates once non-flare symptom intensity was included in the models. Final models were additionally adjusted for variables that remained significantly associated with flare frequency: bladder hypersensitivity and number of COPCs.
For the flare characteristic analyses, we limited the sample to participants who completed the Brief Flare Risk Factor Questionnaire at least twice, once each when they were and were not experiencing a flare. Flares were required to have started in the past two weeks to avoid double-counting. Changes in symptom intensity during flares and risk factors for more painful flares, those with worse urologic symptoms, and longer flares were estimated by linear and generalized linear mixed effects models, clustering flares by participant. 26 , 27 Cut-off points for more symptomatic flares were determined by classification and regression tree analyses, 28 using data from our previous site-specific survey. 13 This survey asked participants to report their average pelvic pain, urgency, frequency (scales of 0–10), and bother (none, only a little, some, and a lot) for flares lasting minutes, hours, and days. We used these data to perform two analyses each for pelvic pain and urologic symptoms, one to identify cut-off points for flare symptom intensity associated with “a lot” of bother (≥7 out of 10 for pelvic pain and urologic symptoms), and a second to identify cut-off points for change in intensity during flares associated with “a lot” of bother among participants with non-flare symptom values <7 (≥4 for pain and urologic symptoms). These two cut-off points were then combined into one outcome, similar to previous depression analyses. 29 We used the median flare duration (≥5 days) in the full MAPP study to define longer flares rather than site-specific data because the distribution assessed on the site-specific survey was considerably shorter than in the full study. Within-participant variability in flare intensity and duration was calculated as 1 minus the intra-class correlation coefficient.
Two-sided p-values<0.05 were considered statistically significant. All analyses were performed using SAS version 9.4.
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