Abstract
BACKGROUND & AIMS
In asymptomatic inflammatory bowel disease (IBD) patients, “monitoring” involves repeated testing aimed at early recognition of disease exacerbation. We aimed to determine the usefulness of repeated fecal calprotectin (FC) measurements to predict IBD relapses by a systematic literature review.
METHODS
An electronic search was performed in Medline, Embase and Cochrane from inception to April 2016. Inclusion criteria were prospective studies that followed patients with IBD in remission at baseline, and had at least 2 consecutive FC measurements with a test interval of 2 weeks to 6 months. Methodological assessment was based on the second Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklist.
RESULTS
A total of 1719 papers were identified; 193 were retrieved for full text review. Six studies met eligibility for inclusion. The time interval between FC tests varied between 1 to 3 months. Asymptomatic patients with IBD who had repeated FC measurements above the study’s cut-off level had a 53–83% probability of developing disease relapse within the next 2–3 months. Patients with repeated normal FC values had a 67–94% probability to remain in remission in the next 2–3 months. The ideal FC cut-off for monitoring could not be identified due to the limited number studies meeting inclusion criteria and heterogeneity between selected studies.
CONCLUSIONS
Two consecutively elevated FC values are highly associated with disease relapse, indicating a consideration to proactively optimize IBD therapy plans. More prospective data are necessary to assess whether FC monitoring improves health outcomes
Keywords: fecal calprotectin, disease monitoring, inflammatory bowel disease
INTRODUCTION
Inflammatory bowel disease (IBD), consisting of Crohn’s disease (CD) and ulcerative colitis (UC), is a chronic, relapsing and remitting disorder of the gastrointestinal tract. The ultimate goal in IBD is to restore disease remission as early as possible and to prevent disease progression and resistance to pharmacotherapies.1 The concept of “monitoring” involves repeated testing aimed at early recognition of disease recurrence and timely adjustment of therapy plans.1
The ideal monitoring test should be non-invasive, simple to conduct, and easily interpretable.2 It should detect an imminent disease flare – often undetectable by symptom-based reporting alone – and makes provision for proactive treatment optimization. In Table 1, several frequently used targets for disease monitoring are compared and evaluated for their suitability as a monitoring test in IBD. While the gold standard for determining mucosal inflammation is endoscopy with histological confirmation,3 there is a need for clinically-useful biomarkers for monitoring purposes since it is unrealistic, costly, and potentially harmful to perform regular, invasive endoscopies.4 This rationale is particularly true in children affected by IBD5–7 and patients with concomitant irritable bowel syndrome.8,9
Table 1.
Markers of disease activity used in IBD patients.
Validity (correlation with gold standard) | Responsiveness to changes in condition | Signal-to-noise ratio (ability to differentiate changes in condition from background variability) | Practicality | |
---|---|---|---|---|
Endoscopy | Gold standard | Gold standard | Gold standard |
Low Requires bowel preparation and in children general anaesthesia |
Symptom-based clinical indices | Poor3,13,35–37 |
Moderate Affected by subjectivity6,7 |
Moderate Risk of false positive results (irritable bowel syndrome) and false negative results (dissimulation)9,38 |
High Easy to perform; non-invasive |
C-reactive protein | Moderate3,12,13,35 |
Moderate Late position in disease progression pathway12,39,40 |
Moderate Risk of false positive results (acute infections and other inflammatory conditions) and false negative results (normal CRP despite active disease)39 |
High Quick result; but requires venepuncture |
Fecal Calprotectin | Good12,29,38,41–43 |
Good Rises quickly in case of relapse; falls rapidly with successful treatment28 |
Moderate Risk of false positive results44,45 |
High Possible reluctance by patients for repeated stool collection.46 |
Calprotectin is a protein released by activated or damaged granulocytes, monocytes, macrophages and epithelial cells.10 It represents 60% of cytosolic protein in granulocytes and is resistant to metabolic degradation. Fecal calprotectin (FC) levels are related to neutrophil migration to the gastrointestinal tract.10,11 FC is a more sensitive marker of active disease compared to the other frequently used surrogate markers (C-reactive protein (CRP)12 and symptom-based clinical scoring systems,13 including Crohn’s Disease Activity Index (CDAI),14 Harvey Bradshaw Index,15 Pediatric CDAI,16 Simple Clinical Colitis Activity Index,17 and the Pediatric Ulcerative Colitis Activity Index(PUCAI).18 FC represents a practical monitoring test in IBD because testing can be done at home, and the protein is stable at room temperature for at least 3 days.19
A general construct for FC-based disease monitoring in patients with IBD is shown in Figure 1, which illustrates the four phases of disease monitoring.1,20 Repeated FC measures are used to longitudinally track changes in a patient’s condition over time. In phase I, IBD is suspected, but neither endoscopically confirmed nor treated. In phase II, induction therapy is introduced to achieve disease control, resulting in patient response. Phase III begins with disease remission with continuation of maintenance therapy. The goal of monitoring in this phase is to detect deviations from the target range, indicating the start of phase IV. In phase IV, therapy is adjusted to re-establish disease control and bring FC levels back to the target range.
FIGURE 1. Conceptual model of FC monitoring in IBD patients.
Figure adapted from ‘Do Not Read Single Calprotectin Measurements in Isolation When Monitoring Your Patients with Inflammatory Bowel Disease’ by P.F. van Rheenen, Inflammatory bowel disease, 20:1416–7. Copyright 2014 by the Wolters Kluwer Health, Inc. Adapted with permission.
Given this background and clinical need for a standardized approach to non-invasive IBD monitoring, we performed a systematic review to evaluate whether FC monitoring could be used to detect imminent disease flares and sustained remission.
METHODS
Eligible studies were those that followed at least 10 patients with IBD in remission at baseline (monitoring phase III) and presented at least two consecutive FC measurements. We accepted FC test intervals between 2 weeks and 6 months. Studies that did not report the use of a FC cut-off (either predefined or based on receiver operating characteristic curves) were excluded from analysis.
Identification and selection of studies
We searched for studies published in Medline, Embase and the Cochrane Library. The search strategy for Medline was (“Leukocyte L1 Antigen Complex”[Mesh] OR “calprotectin”[tw] OR “calgranulin”[tw]) AND (“Inflammatory Bowel Diseases”[Mesh] OR “inflammatory bowel disease”[tw] OR “inflammatory bowel diseases”[tw] OR “IBD”[tw] OR “Crohn”[tw] OR “Colitis”[tw]). For Embase we used (“calgranulin”/exp OR “calprotectin”/exp) AND (“enteritis”/exp OR “inflammatory bowel disease”/exp OR “inflammatory bowel diseases”/exp OR “ibd” OR “crohn” OR “colitis”/exp). We restricted our search to studies published in English only. Duplicate articles were manually deleted using RefWorks. For further relevant studies, we checked the reference lists of identified papers. The first selection of studies was carried out by one reviewer (AH) on the basis of title and abstract. The full paper of each potentially eligible study was then obtained. Two authors (AH and PvR) independently assessed full manuscripts against the predefined inclusion criteria. Any disagreements were resolved by discussion, and consensus was reached with the third author (KTP).
Data extraction and management
The following characteristics were extracted from each selected study: name of first author, year of publication, country of origin, journal, study design criteria (prospective vs. retrospective design), sample size (the number of patients in follow-up), baseline characteristics (type of IBD, age group), FC test characteristics (including cut-offs tested), reference standard (endoscopy), other markers of disease activity used (including symptom-based clinical indices and CRP), prevalence of disease flares and the number of true positives, true negatives, false positives, false negatives.
Pooling of data was greatly jeopardized due to heterogeneity between studies and was therefore not undertaken.
Assessment of risk of bias and applicability concerns
Study quality was assessed using the QUADAS-2 (QUality Assessment of studies of Diagnostic Accuracy included in Systematic reviews) checklist.21 In QUADAS four key domains are rated for risk of bias and concerns regarding applicability to the review questions. The signalling questions in each domain were specifically tailored to our review questions (Supplementary Table 1). We did not calculate summary scores because their interpretation is problematic and potentially misleading.22
RESULTS
This review includes results of electronic searches up to 21 April 2016. A total of 1719 papers were identified, of which 193 were retrieved for full text review. Of these, 187 were excluded for not meeting the eligibility criteria. Six papers were included in the final analysis (Figure 2).
FIGURE 2. Flow diagram systematic literature search.
Reasons for exclusion at last stage (*):
- Serial measurements of FC not reported (n=69)
- Congress abstract (n=53)
- Patients had active disease at baseline (n=29)
- FC test interval out of desired range (<2 weeks or >6 months) (n=14)
- Narrative review, Editorial, Letter to editor, or Comment (n=7).
- FC test results within 6 months before relapse not reported (n=7)
- FC cut-point not reported (n=3)
- Language other than English (n=3)
- Less than 10 participants (n=2)
Study characteristics
Study characteristics of included studies are presented in Table 2. All studies were published in the most recent 3 years, and all except one were from European countries. Sample size varied between 49 and 181 patients. All except one study included adult patients only.23 The mean proportion of patients experiencing a disease flare during the observation period was 33.3% (184 of 552; range 27 to 50%), and the total observation period was 10 to 18 months. All studies included patients with UC of which one followed patients with disease exclusively confined to the rectum.24 Two studies also included patients with CD.23,25 The time interval between consecutive FC tests varied between one and three months. One study compared control patients assigned to usual care with patients exposed to a FC-guided dose-escalation scheme with oral 5-aminosalicylates.26 For the sake of clarity we excluded the intervention group from our analysis, since the number of relapses in the intervention group was directly influenced by the therapeutic intervention.
TABLE 2.
Study characteristics of selected studies
Study | N of patients in follow-up | Age group | Study aim (Prospective if not otherwise specified) | Type of IBD; remission at baseline | Proportion of patients with relapse | Median duration of follow-up (in months) | Frequency of diagnostic testing (scoring method) | |||
---|---|---|---|---|---|---|---|---|---|---|
Fecal calprotectin | Endoscopy | Clinical Activity score | CRP | |||||||
Dabritz 201323 Germany | 181 | AC | Monitoring disease activity | UC (120); CD (61) | 34% | 10 | Every 3 months or when suspicion of relapse | Every 3 months or when suspicion of relapse (P)CDAI, (P)UCAI | Every 3 months or when suspicion of relapse | |
De Vos 201328 Belgium, Norway | 87 | A | Monitoring disease activity | UC (87) | 33% | 12 or relapse | Every month | Baseline, week 52 (Sigmoidoscopy, Mayo endoscopic subscore) | Every 2 months or when suspicion of relapse (Partial Mayo score) | Every 2 months or when suspicion of relapse |
Jauregui-Amezaga 201427 Spain | 64 | A | Evaluating accuracy of HR-rectosigmoidoscopy | UC (64) | 27% | 12 or relapse | Every 3 months | Baseline, 12 months or relapse (HR- rectosigmoidoscopy) | Every 3 months (Mayo score) | Every 3 months |
Lasson 201526 Sweden | 91 | A | RCT comparing FC-based pharmacological intervention and usual care | UC (91), control group (40), intervention group (51) | Intervention group 35%; usual care 50%; overall 42% | 18 | Every month | Baseline (Sigmoidoscopy) | Baseline (Mayo score) | |
Molander 201525Finland | 49 | A | Monitoring and predicting disease activity after stopping anti-TNF therapy | UC (28); CD (16); IBD-U (5) | 31% | 12 | 0,1,2,3,4,5,6,8,10,12 months or when suspicion of relapse | 0,4,12 months or when suspicion of relapse (Ileocolonoscopy SES-CD or Mayo endoscopic subscore (UC)) | 0,1,2,3,4,5,6,8,10,12 months or when suspicion of relapse (HBI (CD) or partial Mayo (UC)) | 0,1,2,3,4,5,6,8,10,12 months or when suspicion of relapse |
Yamamoto 201524 Japan | 80 | A | Monitoring disease activity | UC-proctitis: (80) | 30% | 10 | Every 2 months | Baseline and when suspicion of relapse (Endoscopy, UC-DAI score) | Every 2 months (UC-DAI score, PGA) | Every 2 months |
Total | 552 | 33.3% |
Abbreviations: A = adults; C = children; CD = Crohn’s Disease; HBI = Harvey Bradshaw Index; IBD = inflammatory bowel disease; IBD-U = IBD-unclassified; N = number of participants; (P)CDAI = (Pediatric) Crohn’s Disease Activity Index; PGA = Physicians Global Assessment; (P)UCAI = (Pediatric) Ulcerative Colitis Activity Index; SES-CD = Simple Endoscopic Score for Crohn’s disease; UC = ulcerative colitis; UC-DAI = Ulcerative Colitis Disease Activity Index.
Methodological quality of included studies
The methodological quality of the included studies is summarized in Table 3. All studies used a prospective design, enrolled patients with IBD in remission, used a commercially available FC assay, and tested FC during the initial remission period and periodically thereafter. One study used only clinical activity scores as reference standard instead of endoscopic evaluation.23 In half of the studies endoscopy was scheduled according to the protocol when relapse was suspected.24,25,27 Differential verification was evident in three studies.25,26,28 Substantial differences between studies were observed in clinical and endoscopic definitions of relapse and predefined FC cut-off levels.
TABLE 3.
QUADAS-2 checklist
Study | Risk of bias
|
Applicability concerns
|
|||||
---|---|---|---|---|---|---|---|
Patient selection |
Index test |
Reference standard |
Flow and timing |
Patient selection |
Index test |
Reference standard |
|
Dabritz 201323 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
|
||||||
De Vos 201328 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
|
||||||
Jauregui-Amazega 201427 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
|
||||||
Lasson 201526 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
|
||||||
Molander 201525 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
|
||||||
Yamamoto 201524 |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
= low risk of bias;
= high risk of bias;
= unclear risk of bias
Findings
Prognostic value of repeated FC measurements for relapse and sustained remission
All patients included in the final analysis collected the first feces sample while in remission. Most individual studies showed that asymptomatic patients with FC levels moving out of the normal range on the next measurement had higher risk of relapse within the next 2 to 3 months. When FC was elevated the probability of relapse increased to 53–83%, as is shown in Table 4.24–28 Consecutive normal FC values were associated with reduced risk of relapse, with 67–94% probability of remission in the next 2 to 3 months.
TABLE 4.
Characteristics of fecal calprotectin monitoring studies
Study | FC assay | Upper limit of normal range (in μg/g) |
Basis of relapse diagnosis | Pretest probability of relapse | Post-test probability of relapse | Time between drift out of normal range to relapse | N per 100 patients | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
when upward trend in FC out of normal range (95% CI) |
when consecutive values in normal range (95% CI) |
True Positives | True Negatives | False Positives | False Negatives | ||||||
Dabritz 201323 | Immunodiagnostic | 15 | C | 34% | 63% (55 to 71%) |
12% (8 to 19%) |
2–3 months | 27 | 51 | 15 | 7 |
De Vos 201328 | PhiCal | 300* | C&E | 33% | 83% (61 to 94%) |
20% (15 to 27%) |
3 months | 17 | 63 | 4 | 16 |
Jauregui-Amazega 201427 | Cerba internacional | 250 | E | 27% | 53% (33 to 73%) |
18% (12 to 26%) |
3 months | 13 | 62 | 11 | 14 |
Lasson 201526 ** | Buhlmann | 300 | C | 50% | 57% (47 to 67%) |
33% (15 to 58%) |
Unknown | 40 | 20 | 30 | 10 |
Molander 201525 | Calpro | 200 | E | 31% | 57% (36 to 76%) |
20% (12 to 30%) |
2–4 months | 17 | 57 | 12 | 14 |
Yamamoto 201524 | Canton | 55 | E | 30% | 66% (52 to 77%) |
6% (2 to 16%) |
2 months | 26 | 56 | 14 | 4 |
Abbreviations: CI: confidence interval; C: relapse defined as clinical relapse; E: relapse defined as endoscopic relapse; C&E: relapse defined as both clinical relapse or endoscopic relapse.
FC value above cut-off in two consecutive months.
Only control group included in this table.
One study investigated the prognostic value of ≥2 consecutive measurements above the upper limit of normal,28 while the others focussed on an upward trend of FC between two measurements.23–27 As can be seen in Table 5, the former strategy resulted in the highest probability of relapse.
TABLE 5.
Implications of fecal calprotectin test results
Outcomes | Consequences | Importance* |
---|---|---|
True positives |
Interpretation: Patient has active disease despite being symptom-free Presumed patient outcome: May benefit from shorter delay and potential early adjustment of therapy (intensify/switch/add) |
CRITICAL |
True negatives |
Interpretation: Patient is in remission Presumed patient outcome: Benefit from reassurance |
CRITICAL |
False positives |
Interpretation: Patient is in remission, FC elevated Presumed patient outcome: Detriment from exposure to overtreatment |
CRITICAL |
False negatives |
Interpretation: Patient has active disease, but it is not (yet) recognised Presumed patient outcome: Detriment from delayed diagnosis and delayed adjustment of therapy False reassurance leading to ignoring symptoms |
CRITICAL |
Inconclusive results |
Interpretation: Not sure whether this increase in FC is clinically relevant Presumed patient outcome: Detriment from increased anxiety by uncertainty until next FC test result May benefit from avoidance of overtreatment |
CRITICAL |
Complications of test | May be perceived as unsanitary | NOT IMPORTANT |
Resource utilization (cost) | Increases cost for ambulant diagnostic testing; however, endoscopy has much greater resource implications. FC-based home monitoring may reduce cost for out-patient health checks |
IMPORTANT |
GRADE recommends classifying each outcome as either “critical for decision making”, “important but not critical for decision making”, or “not-important”.
Optimal FC cut-off for monitoring disease activity
Probabilities of relapse and remission varied between studies, partly because different FC cut-offs were used. Variation in FC cut-offs could not explain all the difference. Patient variation, study design and type of FC assay may also have contributed to the heterogeneity of the test accuracy. Because of the limited number of studies included in this systematic review, we were not able to derive the ideal cut-off point.
DISCUSSION
In this systematic review, we evaluated the utility of FC monitoring to detect imminent flares in asymptomatic patients with IBD. We identified only six studies meeting our inclusion criteria. Data collection was done prospectively in consecutive series of mostly UC patients with quiescent disease at baseline. We found that there was poor consistency of reference standard use and definition of relapse between the studies. Two consecutively elevated FC levels appeared to be the best predictor for relapse, but this was systematically investigated in only one study.28 An upward trend of FC out of the normal range was also prognostic for relapse, albeit with a lower probability of relapse.
Comparison with other reviews
We report the first systematic review that investigates the prognostic value of repeated FC measurements in asymptomatic patients with IBD. To date, there have been two meta-analyses of the diagnostic accuracy of a single FC measurement in almost exclusively symptomatic patients with previously diagnosed UC or CD.12,29 In these circumstances, symptom-based clinical indices and derangements in serological markers of inflammation would likely lead clinicians to intensify medical therapy. Inclusion of these studies may cause overestimation of the prognostic value of calprotectin relative to the practical situation, where a monitoring test is necessary to discriminate between those who have preclinical relapse and those with quiescent IBD. We moved away from single FC measurements that are read in isolation when relapse is suspected, and focused on repeated FC measurements in asymptomatic patients to predict relapse.
Based on our review, we found that FC levels start rising 2 to 3 month before a relapse becomes apparent, and therefore support the biological implausibility that a single FC measurement at baseline can predict the clinical course over a 12 months period, as was suggested in a meta-analysis by Mao et al.30
Cut-off levels
Furthermore, we were not able to identify the best FC cut-off for monitoring purposes. Currently, there is no consensus among IBD experts about the range of FC associated with mucosal healing, indicating a need for prospective and randomized studies comparing monitoring strategies that vary in thresholds.
Clinical Implications
Table 5 elaborates on the specific outcomes when FC monitoring strategy leads to effective adjustments in IBD therapy from a patients’ perspective. The underlying assumption here is that FC monitoring serves to improve patient-centered outcomes, representing a proactive approach to detecting indolent disease activity. Of note, when adopting FC monitoring, key questions most relevant to decision making are whether the numbers of false negatives (missed cases with relapse) and false positives (cases without disease activity who may receive treatment intensification) are acceptable within the new monitoring paradigm. Emerging evidence suggest that FC monitoring has the potential to result in less missed cases of asymptomatic IBD patients with on-going mucosal-level inflammation. In particular, IBD patients who underreport symptoms and pediatric patients requiring anesthesia for each endoscopic evaluation are two subset of patients who may benefit from FC monitoring. From a patient perspective, bowel preparation for colonoscopy, repeated anaesthesia, and incurring indirect costs are practical and important considerations in favor of FC monitoring. Additionally, FC monitoring may serve as a feedback tool for better patient engagement, facilitating self-management strategies of their chronic condition.
Although there is no consensus on the optimal frequency of calprotectin retesting and cut-offs for treatment intensification, the authors of this paper routinely monitor children with IBD using an enzyme-linked immunosorbent assay (ELISA) allowing quantification. A practical cut-off range could be as follows: levels below 250 μg/g as indicative for disease remission (green), levels above 500 μg/g as indicative for disease flare (red), while levels between 250 and 500 μg/g indicating need for more frequent calprotectin monitoring (yellow), as shown in Figure 1. This “traffic light” is currently being evaluated in a prospective multicenter telemonitoring program.31 Future studies are needed to determine whether pre-emptive treatment intensification based on elevated FC levels will lead to long-term better patient outcomes, including reduction of hospitalizations, disability-associated costs and loss of productivity. The first prospective trials with mesalamine dose intensification26,32,33 and infliximab dose interval adjustment34 have already been performed with promising results.
Methodological limitations of the review
Although the methodology to conduct a systematic review and meta-analysis of diagnostic research is developed to a certain extent, at least for dichotomised tests, the systematic evaluation of a monitoring test is not bound to consensus guidelines. Although the papers we selected had to meet high methodological standards, we acknowledge several limitations. Significant heterogeneity in disease spectrum, study endpoints, FC cut-off levels, and quality of reporting are potentially confounding factors that may affect interpretation of the data and conclusions. Also, we restricted our search to studies published in English only, leading to potential bias.
Conclusion
This systematic review shows that the relapsing and remitting nature of IBD becomes less unpredictable with proactive FC monitoring in clinical practice, allowing early recognition of relapse prior to overt symptoms (or symptom reporting). While FC monitoring may represent a more proactive strategy for treatment modifications in a treat-to-target approach, more robust data are necessary to determine whether it will improve decision-making and patient-centered outcomes.
Supplementary Material
Acknowledgments
We thank Karin Sijtsma (medical librarian, University Medical Center Groningen) for help with the design of the optimal search strategy.
Funding: This project was not funded.
Disclosures: KP has received research support from BÜHLMANN Laboratories and served as a consultant for Inova Diagnostics. PVR and AH received research support from BÜHLMANN Laboratories for other on-going studies. KP is supported by the National Institutes of Health (K08 DK094868) for this work.
Abbreviations
- CD
Crohns disease
- FC
Fecal calprotectin
- IBD
Inflammatory bowel disease
- UC
Ulcerative Colitis
- QUADAS
QUality Assessment of studies of Diagnostic Accuracy included in Systematic reviews
Footnotes
Author contributions
Guarantor of the article: Patrick van Rheenen
Author contributions: AH, KTP, PvR: conception, design, analysis, writing.
All authors approved the final version of the manuscript.
References
- 1.Glasziou P, Irwig L, Mant D. Monitoring in chronic disease: a rational approach. BMJ. 2005;330(7492):644–8. doi: 10.1136/bmj.330.7492.644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mant D. A framework for developing and evaluating a monitoring strategy. Evidence Based medical monitoring, from principles to practice. 2008:15–30. [Google Scholar]
- 3.Peyrin-Biroulet L, Sandborn W, Sands BE, Reinisch W, Bemelman W, Bryant RV, et al. Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE): Determining Therapeutic Goals for Treat-to-Target. Am J Gastroenterol. 2015;110(9):1324–38. doi: 10.1038/ajg.2015.233. [DOI] [PubMed] [Google Scholar]
- 4.Papay P, Ignjatovic A, Karmiris K, Amarante H, Miheller P, Feagan B, et al. Optimising monitoring in the management of Crohn’s disease: A physician’s perspective. J Crohn’s Colitis. 2013;7(8):653–69. doi: 10.1016/j.crohns.2013.02.005. [DOI] [PubMed] [Google Scholar]
- 5.Loonen HJ, Derkx BHF, Koopman HM, Heymans HSA. Are Parents Able To Rate the Symptoms and Quality of Life of Their Offspring With IBD? Inflamm Bowel Dis. 2002;8(4):270–6. doi: 10.1097/00054725-200207000-00006. [DOI] [PubMed] [Google Scholar]
- 6.Pirinen T, Kolho KL, Simola P, Ashorn M, Aronen ET. Parent-adolescent agreement on psychosocial symptoms and somatic complaints among adolescents with inflammatory bowel disease. Acta Paediatr. 2012;101(4):433–7. doi: 10.1111/j.1651-2227.2011.02541.x. [DOI] [PubMed] [Google Scholar]
- 7.Westwood N, Travis SPL. Review article: what do patients with inflammatory bowel disease want for their clinical management? Aliment Pharmacol Ther. 2008;27(Suppl 1):1–8. doi: 10.1111/j.1365-2036.2008.03605.x. [DOI] [PubMed] [Google Scholar]
- 8.Halpin SJ, Ford AC. Prevalence of Symptoms Meeting Criteria for Irritable Bowel Syndrome in Inflammatory Bowel Disease: Systematic Review and Meta-Analysis. Am J Gastroenterol. 2012;107(10):1474–82. doi: 10.1038/ajg.2012.260. [DOI] [PubMed] [Google Scholar]
- 9.Berrill JW, Green JT, Hood K, Campbell AK. Symptoms of irritable bowel syndrome in patients with inflammatory bowel disease: examining the role of sub-clinical inflammation and the impact on clinical assessment of disease activity. Aliment Pharmacol Ther. 2013;38(1):44–51. doi: 10.1111/apt.12335. [DOI] [PubMed] [Google Scholar]
- 10.Røseth AG, Fagerhol MK, Aadland E, Schjønsby H. Assessment of the neutrophil dominating protein calprotectin in feces. A methodologic study. Scand J Gastroenterol. 1992;27(9):793–8. doi: 10.3109/00365529209011186. [DOI] [PubMed] [Google Scholar]
- 11.Tibble J, Teahon K, Thjodleifsson B, Roseth A, Sigthorsson G, Bridger S, et al. A simple method for assessing intestinal inflammation in Crohn’s disease. Gut. 2000;47(4):506–13. doi: 10.1136/gut.47.4.506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mosli MH, Zou G, Garg SK, Feagan SG, MacDonald JK, Chande N, et al. C-Reactive Protein, Fecal Calprotectin, and Stool Lactoferrin for Detection of Endoscopic Activity in Symptomatic Inflammatory Bowel Disease Patients: A Systematic Review and Meta-Analysis. Am J Gastroenterol. 2015;110(6):802–19. doi: 10.1038/ajg.2015.120. [DOI] [PubMed] [Google Scholar]
- 13.Zubin G, Peter L. Predicting endoscopic Crohn’s disease activity before and after induction therapy in children: A comprehensive assessment of PCDAI, CRP, and fecal calprotectin. Inflamm Bowel Dis. 2015;21(6):1386–91. doi: 10.1097/MIB.0000000000000388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Best W, Becktel J, Singleton J, Kern FJ. Development of a Crohn’s disease activity index. National Cooperative Crohn’s Disease Study. Gastroenterology. 1976;70(3):439–44. [PubMed] [Google Scholar]
- 15.Harvey RF, Bradshaw JM. A simple index of Crohn’s-disease activity. Lancet (London, England) 1980;1(8167):514. doi: 10.1016/s0140-6736(80)92767-1. [DOI] [PubMed] [Google Scholar]
- 16.Hyams JS, Ferry GD, Mandel FS, Gryboski JD, Kibort PM, Kirschner BS, et al. Development and validation of a pediatric Crohn’s disease activity index. J Pediatr Gastroenterol Nutr. 1991;12(4):439–47. [PubMed] [Google Scholar]
- 17.Walmsley R, Ayres R, Pounder R, Allan R. A simple clinical colitis activity index. Gut. 1998;43(1):29–32. doi: 10.1136/gut.43.1.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Turner D, Otley AR, Mack D, Hyams J, de Bruijne J, Uusoue K, et al. Development, validation, and evaluation of a pediatric ulcerative colitis activity index: a prospective multicenter study. Gastroenterology. 2007;133(2):423–32. doi: 10.1053/j.gastro.2007.05.029. [DOI] [PubMed] [Google Scholar]
- 19.Lasson A, Stotzer POO, Ohman L, Isaksson S, Sapnara M, Strid H, et al. The intra-individual variability of faecal calprotectin: A prospective study in patients with active ulcerative colitis. J Crohn’s Colitis. 2015;9(1):26–32. doi: 10.1016/j.crohns.2014.06.002. [DOI] [PubMed] [Google Scholar]
- 20.van Rheenen P. Do not read single calprotectin measurements in isolation when monitoring your patients with inflammatory bowel disease. Inflamm Bowel Dis. 2014;20(8):1416–7. doi: 10.1097/MIB.0000000000000107. [DOI] [PubMed] [Google Scholar]
- 21.Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36. doi: 10.7326/0003-4819-155-8-201110180-00009. [DOI] [PubMed] [Google Scholar]
- 22.Whiting P, Harbord R, Kleijnen J. No role for quality scores in systematic reviews of diagnostic accuracy studies. BMC Med Res Methodol. 2005;5:19. doi: 10.1186/1471-2288-5-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Däbritz J, Langhorst J, Lügering A, Heidemann J, Mohr M, Wittkowski H, et al. Improving relapse prediction in inflammatory bowel disease by neutrophil-derived S100A12. Inflamm Bowel Dis. 2013;19(6):1130–8. doi: 10.1097/MIB.0b013e318280b1cd. [DOI] [PubMed] [Google Scholar]
- 24.Yamamoto T, Shimoyama T, Matsumoto K. Consecutive monitoring of faecal calprotectin during mesalazine suppository therapy for active rectal inflammation in ulcerative colitis. Aliment Pharmacol Ther. 2015;42(5):549–58. doi: 10.1111/apt.13308. [DOI] [PubMed] [Google Scholar]
- 25.Molander P, Färkkilä M, Ristimäki A, Salminen K, Kemppainen H, Blomster T, et al. Does fecal calprotectin predict short-term relapse after stopping tnfα-blocking agents in inflammatory bowel disease patients in deep remission? J Crohns Colitis. 2015;9(1):33–40. doi: 10.1016/j.crohns.2014.06.012. [DOI] [PubMed] [Google Scholar]
- 26.Lasson A, Öhman L, Stotzer PO, Isaksson S, Überbacher O, Ung KA, et al. Pharmacological intervention based on fecal calprotectin levels in patients with ulcerative colitis at high risk of a relapse: A prospective, randomized, controlled study. United Eur Gastroenterol J. 2015;3(1):72–9. doi: 10.1177/2050640614560785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jauregui-Amezaga A, López-Cerón M, Aceituno M, Jimeno M, Rodríguez de Miguel C, Pinó-Donnay S, et al. Accuracy of advanced endoscopy and fecal calprotectin for prediction of relapse in ulcerative colitis: A prospective study. Inflamm Bowel Dis. 2014;20(7):1187–93. doi: 10.1097/MIB.0000000000000069. [DOI] [PubMed] [Google Scholar]
- 28.De Vos M, Louis EJ, Jahnsen J, Vandervoort JGP, Noman M, Dewit O, et al. Consecutive fecal calprotectin measurements to predict relapse in patients with ulcerative colitis receiving infliximab maintenance therapy. Inflamm Bowel Dis. 2013;19(10):2111–7. doi: 10.1097/MIB.0b013e31829b2a37. [DOI] [PubMed] [Google Scholar]
- 29.Lin JF, Chen JM, Zuo JH, Yu A, Xiao ZJ, Deng FH, et al. Meta-analysis: fecal calprotectin for assessment of inflammatory bowel disease activity. Inflamm Bowel Dis. 2014;20(8):1407–15. doi: 10.1097/MIB.0000000000000057. [DOI] [PubMed] [Google Scholar]
- 30.Mao R, Xiao Y, Gao X, Chen B, He Y, Yang L, et al. Fecal calprotectin in predicting relapse of inflammatory bowel diseases: a meta-analysis of prospective studies. Inflamm Bowel Dis. 2012;18(10):1894–9. doi: 10.1002/ibd.22861. [DOI] [PubMed] [Google Scholar]
- 31.Heida A, Dijkstra A, Groen H, Muller Kobold A, Verkade H, van Rheenen P. Comparing the efficacy of a web-assisted calprotectin-based treatment algorithm (IBD-live) with usual practices in teenagers with inflammatory bowel disease: study protocol for a randomized controlled trial. Trials. 2015;16:271. doi: 10.1186/s13063-015-0787-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pedersen N, Thielsen P, Martinsen L, Bennedsen M, Haaber A, Langholz E, et al. eHealth: individualization of mesalazine treatment through a self-managed web-based solution in mild-to-moderate ulcerative colitis. Inflamm Bowel Dis. 2014;20(12):2276–85. doi: 10.1097/MIB.0000000000000199. [DOI] [PubMed] [Google Scholar]
- 33.Osterman MT, Aberra FN, Cross R, Liakos S, McCabe R, Shafran I, et al. Mesalamine dose escalation reduces fecal calprotectin in patients with quiescent ulcerative colitis. Clin Gastroenterol Hepatol. 2014;12(11):1887–93.e3. doi: 10.1016/j.cgh.2014.03.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Pedersen N, Elkjaer M, Duricova D, Burisch J, Dobrzanski C, Andersen NN, et al. eHealth: individualisation of infliximab treatment and disease course via a self-managed web-based solution in Crohn’s disease. Aliment Pharmacol Ther. 2012;36(9):840–9. doi: 10.1111/apt.12043. [DOI] [PubMed] [Google Scholar]
- 35.Brahmania M, Bernstein CN. Physician global assessments or blood tests do not predict mucosal disease activity in ulcerative colitis. Can J Gastroenterol Hepatol. 2014;28(6):325–9. doi: 10.1155/2014/737349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sandor Kiss L, Papp M, Dorottya Lovasz B, Vegh Z, Anna Golovics P, Janka E, et al. High-sensitivity C-reactive protein for identification of disease phenotype, active disease, and clinical relapses in Crohnʼs disease: A marker for patient classification? Inflamm Bowel Dis. 2012;18(9):1647–54. doi: 10.1002/ibd.21933. [DOI] [PubMed] [Google Scholar]
- 37.Peyrin-Biroulet L, Reinisch W, Colombel JF, Mantzaris GJ, Kornbluth A, Diamond R, et al. Clinical disease activity, C-reactive protein normalisation and mucosal healing in Crohn’s disease in the SONIC trial. Gut. 2014;63(1):88–95. doi: 10.1136/gutjnl-2013-304984. [DOI] [PubMed] [Google Scholar]
- 38.Canani RB, Terrin G, Rapacciuolo L, Miele E, Siani MC, Puzone C, et al. Faecal calprotectin as reliable non-invasive marker to assess the severity of mucosal inflammation in children with inflammatory bowel disease. Dig Liver Dis. 2008;40(7):547–53. doi: 10.1016/j.dld.2008.01.017. [DOI] [PubMed] [Google Scholar]
- 39.Jones J, Loftus EV, Panaccione R, Chen LS, Peterson S, McConnell J, et al. Relationships between disease activity and serum and fecal biomarkers in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2008;6(11):1218–24. doi: 10.1016/j.cgh.2008.06.010. [DOI] [PubMed] [Google Scholar]
- 40.van Rheenen PF. Role of fecal calprotectin testing to predict relapse in teenagers with inflammatory bowel disease who report full disease control. Inflamm Bowel Dis. 2012;18(11):2018–25. doi: 10.1002/ibd.22896. [DOI] [PubMed] [Google Scholar]
- 41.Theede K, Holck S, Ibsen P, Ladelund S, Nordgaard-Lassen I, Mertz Nielsen A. Level of Fecal Calprotectin Correlates With Endoscopic and Histologic Inflammation and Identifies Patients with Mucosal Healing of Ulcerative Colitis. Clin Gastroenterol Hepatol. 2015;13(11):1929–36. doi: 10.1016/j.cgh.2015.05.038. [DOI] [PubMed] [Google Scholar]
- 42.Sandborn WJ, Panés J, Zhang H, Yu D, Niezychowski W, Su C. Correlation Between Concentrations of Fecal Calprotectin and Outcomes of Patients With Ulcerative Colitis in a Phase 2 Trial. Gastroenterology. 2015;150(1):96–102. doi: 10.1053/j.gastro.2015.09.001. [DOI] [PubMed] [Google Scholar]
- 43.D’Haens G, Ferrante M, Vermeire S, Baert F, Noman M, Moortgat L, et al. Fecal calprotectin is a surrogate marker for endoscopic lesions in inflammatory bowel disease. Inflamm Bowel Dis. 2012;18(12):2218–24. doi: 10.1002/ibd.22917. [DOI] [PubMed] [Google Scholar]
- 44.Kaiser T, Langhorst J, Wittkowski H, Becker K, Friedrich AW, Rueffer A, et al. Faecal S100A12 as a non-invasive marker distinguishing inflammatory bowel disease from irritable bowel syndrome. Gut. 2007;56(12):1706–13. doi: 10.1136/gut.2006.113431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nielsen HL, Engberg J, Ejlertsen T, Nielsen H. Evaluation of fecal calprotectin in Campylobacter concisus and Campylobacter jejuni/coli gastroenteritis. Scand J Gastroenterol. 2013;48(5):633–5. doi: 10.3109/00365521.2013.775329. [DOI] [PubMed] [Google Scholar]
- 46.Heida A, Dijkstra A, Dantuma SK, van Rheenen PF. A Cross-Sectional Study on the Perceptions and Practices of Teenagers With Inflammatory Bowel Disease About Repeated Stool Sampling. J Adolesc Heal. 2016;59(4):479–81. doi: 10.1016/j.jadohealth.2016.06.009. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.