Literature DB >> 29945423

An Elevated Platelet Count Increases the Risk of Relapse in Ulcerative Colitis Patients with Mucosal Healing.

Asuka Nakarai1, Jun Kato2, Sakiko Hiraoka1, Shiho Takashima1, Toshihiro Inokuchi1, Masahiro Takahara1, Yuusaku Sugihara1, Keita Harada3, Hiroyuki Okada1.   

Abstract

Background/Aims: Although mucosal healing (MH) has been considered a treatment goal for patients with ulcerative colitis (UC), the risk factors predictive of relapse in patients who achieve MH are unknown. Because the platelet count has been shown to be a marker of inflammation in inflammatory bowel diseases, this study aimed to assess whether the platelet count could predict relapse in UC patients with MH.
Methods: A prospective observational study was performed. UC patients with MH were consecutively enrolled in the study and monitored for at least 2 years or until relapse. The correlation between the incidence of relapse and the platelet count at the time of study enrollment was examined.
Results: In total, 43 patients were enrolled, and 14 patients (33%) relapsed. The median platelet count at the time of enrollment in the patients who relapsed significantly differed from that in the patients who did not relapse (27.2×10⁴/μL vs 23.8×10⁴/μL, respectively; p=0.016). A platelet count >25.0×10⁴/μL was a significant risk factor for relapse based on a multivariate analysis (hazard ratio, 4.85; 95% confidence interval, 1.07 to 25.28), and according to the Kaplan-Meier analysis, this cutoff could identify patients susceptible to relapse (p=0.041, log-rank test). Conclusions: The platelet count could be used as a predictor of relapse in UC patients with MH.

Entities:  

Keywords:  Colitis, ulcerative; Mucosal healing; Platelet count; Recurrence

Mesh:

Substances:

Year:  2018        PMID: 29945423      PMCID: PMC6027830          DOI: 10.5009/gnl17236

Source DB:  PubMed          Journal:  Gut Liver        ISSN: 1976-2283            Impact factor:   4.519


INTRODUCTION

Ulcerative colitis (UC) is an idiopathic chronic inflammatory disorder that affects the innermost lining or mucosa of the colon and rectum, and UC patients have symptoms such as diarrhea and bloody stool. The clinical course of UC is characterized by repetitive cycles of relapses and remissions despite patients receiving appropriate treatment. Therefore, predictors of clinical relapse in UC are desirable. Mucosal healing (MH) has recently been recognized as a treatment goal of UC because patients with MH have been shown to have a reduced risk of relapse.1 Thus, achieving MH is a mandatory requirement in clinically treating UC. Previously, biomarkers that predict MH have extensively been explored, and several blood, fecal, and biological biomarkers for MH have been established, including fecal calprotectin, fecal immunochemical test, C-reactive protein (CRP), and erythrocyte sedimentation rate.2–7 However, reports regarding biomarkers associated with the prognosis of inflammatory bowel disease (IBD) patients who achieved MH have been scarce. We previously reported that platelet count could reflect endoscopic inflammation in individuals with quiescent UC and predict a slight endoscopic relapse, a shift in the Mayo endoscopic subscore (MES) from 0 to 1.8 Therefore, we hypothesized that platelet count could predict the risk of relapse in UC patients with MH, particularly when MH was strictly defined (e.g., MES 0 throughout the colorectum). The aim of this study was to assess whether platelet count could predict relapse in UC patients who achieved MH.

MATERIALS AND METHODS

1. Patients

A prospective observational study was performed. Between January 2014 and January 2015, UC patients in clinical remission for 3 months or more and showed MH based on colonoscopy were consecutively enrolled. A diagnosis of UC was based on typical endoscopic and histological assessments. Clinical disease activity was evaluated using the Mayo score (scoring systems for assessment of UC), and clinical remission was defined as a Mayo stool frequency subscore of either 0 or 1 and a Mayo rectal bleeding subscore of 0.9 In this study, MH was defined as an MES 0 alone throughout the colorectum. Blood tests including serum albumin and CRP as well as a full blood count for each patient were evaluated using routine assays at the time of enrolment. Patients were followed for at least 2 years after enrolment or until relapse with approximately bimonthly visit intervals. Blood tests were performed at regular visits during the follow-up period if necessary. Changes in medications during sustained clinical remission (e.g., tapering of corticosteroids and tacrolimus) were made at the discretion of each attending physician. The primary endpoint was the incidence of clinical relapse during the follow-up period according to the measured platelet count at enrolment. Clinical relapse was defined as an addition or modification of medications due to worsening symptoms. This study was approved by the Institutional Review Board at Okayama University Graduate School of Medicine. Informed consent was obtained from each patient. There were no conflicts of interest or sponsors in this study.

2. Statistical analysis

Statistical analysis was conducted using the JMP program version 9 (SAS Institute, Cary, NC, USA). Values were expressed as the median and interquartile range (IQR). The Mann-Whitney test was used to compare blood parameters between patients with and without relapse. Receiver operating characteristic curves were constructed to define a cutoff level for each parameter. The Cox proportional hazards regression model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for the risk of relapse. The cumulative percentage of relapse-free patients was determined using Kaplan-Meier analysis and compared using the log-rank test. A power analysis was performed using a PS power and sample size calculator (http://biostat.mc.vanderbilt.edu/PowerSampleSize). We made our calculations based on the detection of a 3-fold difference in the probability of relative risk of clinical relapse between the two groups with 80% power and 0.05 probability level. All p-values were two-sided and considered significant when they were less than 0.05.

RESULTS

A total of 43 patients in clinical remission with MH (MES 0 throughout the colorectum) were enrolled in this study. Patient characteristics and blood parameters at the time of enrolment are shown in Table 1. The median observation period was 29 months (IQR, 21 to 31 months), and 14 patients (33%) relapsed.
Table 1

Patient Demographics and Clinicopathological Characteristics

VariableValue
Total no.43
Male sex20 (47)
Age, yr47 (35–61)
Extent of disease
 Pancolitis30 (70)
 Left-side colitis9 (21)
 Proctitis4 (9)
Age at onset, yr34 (19–43)
Duration of disease, yr9 (5–17)
Medications
 Aminosalicylate37 (86)
 Corticosteroids4 (9)
 Mercaptopurine/azathioprine15 (35)
 Tacrolimus1 (2)
 Biologics1 (2)
Laboratory parameter
 CRP, mg/L0.4 (0.2–0.8)
 WBC, /μL5,450 (4,070–6,630)
 Hemoglobin, g/dL13.9 (12.3–14.9)
 Platelet count, ×104/μL24.2 (22.3–27.7)
 Albumin, g/dL4.4 (4.2–4.6)

Data are presented as number (%) or median (interquartile range).

CRP, C-reactive protein; WBC, leukocyte count.

The values of the blood parameters at enrollment were compared between patients with and without relapse (Table 2). Platelet count alone showed statistical significance and was elevated in patients who relapsed than in those who did not relapse (27.2×104/μL vs 23.8×104/μL, respectively, p=0.016). Platelet count was constantly higher during the follow-up period in patients who relapsed (Fig. 1). The receiver operating characteristic curve analysis revealed that 25×104/μL was an optimal cutoff of platelet count for discriminating between patients with and without relapse, and clinical characteristics did not differ significantly between patients above and below the cutoff (data not shown).
Table 2

Laboratory Parameters in Patients with and without Relapse

Laboratory parameterRelapse (n=14)No relapse (n=29)p-value
CRP, mg/L0.7 (0.2–1.3)0.3 (0.2–0.7)0.318
WBC, /μL5,510 (4,859–7,200)5,230 (4,050–6,460)0.468
Hemoglobin, g/dL13.2 (12.3–14.7)14.4 (12.3–15.0)0.276
Platelet count, ×104/μL27.2 (23.6–30.1)23.8 (21.9–25.9)0.016
Albumin, g/dL4.4 (4.2–4.5)4.4 (4.2–4.6)0.764

Data are presented as median (interquartile range).

CRP, C-reactive protein; WBC, leukocyte count.

Fig. 1

Differences in platelet counts during the follow-up period between patients with and without relapse. The platelet count was compared at the time of study enrollment and at 6-month intervals during the follow-up period. The platelet counts at the time of study enrollment and 1 year after enrollment significantly differed.

*27.2×104/μL vs 23.8×104/μL, p=0.016; †26.5×104/μL vs 21.3×104/μL, p=0.004.

The multivariate Cox proportional hazards regression analysis revealed that a platelet count >25×104/μL was an independent predictive factor of clinical relapse (HR, 4.85; 95% CI, 1.07 to 25.28; p=0.040) (Table 3). Moreover, we performed further univariate and multivariate analyses with addition of patient clinical factors (extent of disease, duration of disease, and medications) to explanatory parameters. As a result, a platelet count ≥25×104/μL and a mercaptopurine/azathioprine use were independent predictive factors of clinical relapse (HR, 3.39; 95% CI, 1.03 to 12.17; p=0.045 and HR, 3.49; 95% CI, 1.16 to 11.00; p=0.027, respectively). The Kaplan-Meier curves of the time to relapse showed that the cumulative relapse rate was significantly higher in patients with a platelet count ≥25×104/μL than those with a platelet count <25×104/μL (p=0.041, log-rank test) (Fig. 2A). Relapse was confirmed endoscopically in 10 of 14 patients who showed clinical relapse. The cumulative endoscopic relapse rate was also significantly higher in patients with a platelet count ≥25×104/μL than those with a platelet count <25×104/μL (p=0.021, log-rank test) (Fig. 2B).
Table 3

Cox Proportional Hazards Regression Analysis of the Risk of Relapse

VariableUnivariateMultivariate


HR (95% CI)p-valueHR (95% CI)p-value
CRP, mg/L
 <0.311
 ≥0.31.01 (0.37–3.67)0.9901.48 (0.39–6.75)0.569
WBC, /μL
 <4,70011
 ≥4,7001.54 (0.48–6.81)0.4911.36 (0.31–7.29)0.690
Hemoglobin, g/dL
 ≤13.511
 >13.50.47 (1.44–1.37)0.1681.00 (0.20–4.53)1.000
Platelet count, ×104/μL
 <25.011
 ≥25.02.99 (1.02–9.79)0.0464.85 (1.07–25.28)0.04
Albumin, g/dL
 ≤4.311
 >4.30.89 (0.30–2.61)0.8301.71 (0.41–7.88)0.462

Adjusted for sex and age.

HR, hazard ratio; CI, confidence interval; CRP, C-reactive protein; WBC, leukocyte count.

Fig. 2

Kaplan-Meier curves of time to relapse based on the platelet count (PLT) at the time of enrollment. (A) The cumulative relapse-free rate was statistically significantly different between patients with a PLT greater than or equal to and patients with a PLT less than or equal to ≥25×104/μL and those with a PLT <25×104/μL (p=0.041, log-rank test). (B) The cumulative endoscopic relapse-free rate also significantly differed between the two groups (p=0.021, log-rank test).

DISCUSSION

In this study, we demonstrated that an elevated platelet count could predict relapse in clinically quiescent UC patients with MH. Recent clinical studies have underlined the importance of achieving MH in UC, and treatment progress for UC has made MH a practical treatment goal for most UC patients. However, even patients who achieved MH can relapse, and biomarkers predicting the prognosis of these patients are still lacking. Focusing on platelet count (a simple biomarker) could identify patients with MH expected to have a more favorable disease course. Previous reports carried out hematological examinations on UC patients with activity or quiescence disease as well as on healthy controls, and showed that the mean platelet count was higher in patients with active disease than in either patients with inactive UC or healthy controls.10,11 In addition, we previously examined the platelet count in asymptomatic UC patients with MES 0 and revealed that the platelet count significantly increased in patients who presented a change in MES from 0 to 1 than that in patients who maintained MES 0.8 Thus, the platelet count reflects UC activity, and the worsening of endoscopic findings of patients in clinical remission who do not present any symptom changes could be recognized by an increase in the platelet count. Based on these previous findings, the current study was planned, which revealed that the platelet count in patients with MH is a significant predictor of relapse. Several biological mechanisms have been presumed regarding the association between IBD activity and platelet count. Platelets are broadly activated during inflammatory responses and upon tissue injury, and activated platelets express the CD40 ligand through which they can specifically interact with many immune and non-immune cells that express CD40.12,13 This causal correlation may be attributed to the fact that CD40 ligand-positive platelets are present in the circulation in several inflammatory conditions,14,15 including IBD.16 In addition, activated platelets frequently aggregate in the inflamed mucosa (especially in ulcerative lesions) and were close to regions of dense neutrophil infiltration. An increase in the number of activated platelets in colonic lesions was associated with an increase in the number of infiltrating neutrophils and was related to the severity of the disease.17 As a predictor of the prognosis of patients with MH, the histological findings of colonic mucosa have been suggested as a marker. According to recent studies, achievement of both endoscopic and histological remission was associated with better long-term outcomes compared with endoscopic remission alone.18–20 However, histological examinations require endoscopy with a biopsy and are therefore burdensome for both patients and physicians. In contrast, the platelet count can be measured easily and has a great advantage for use in clinical practice. In this context, recently, Mooiweer et al.21 reported that fecal calprotectin could predict relapse in IBD patients with MH more efficiently than histological findings. Future work should examine the correlations between platelet count, fecal markers and histology in UC. In this study, relapse occurred in six of 43 patients (14%) with MH within 1 year and in 14 of 43 patients (33%) during the entire study period. In this regard, previous reports indicated 19% to 27% of the 1-year relapse rate of UC patients with MES 0.22,23 One explanation for the lower rate of relapse in our cohort may be the relatively frequent use of immunomodulators. The platelet count appears to be sufficiently sensitive for predicting relapse because statistical significance was observed in our cohort with the lower rate of relapse. In this context, our findings should be validated in other cohorts of UC patients with MH. The definition of MH in this study was MES 0, because recent reports suggested that UC patients with MES 1 had a higher risk of relapse than those with MES 0.8,22,24 However, because a considerable number of reports have adopted MES of either 0 or 1 as MH, the predictive performance of platelet count should also be examined in patients with a quiescent UC and an MES of 0 or 1. Despite the novel findings of this study, the small cohort size and enrolment at a single institution were the major limitations of this study. The small sample size could have led to selection bias, although it was statistically calculated beforehand. In addition, the wide variety of medications taken by the patients during follow-up might cause bias. A lack of endoscopic findings at clinical relapse is also a drawback. Previous studies indicated that iron deficiency increases and iron supplementation decreases platelet count in IBD patients with anemia.25,26 Although our analysis did not include parameters associated with iron and ferritin levels, our patients did not show anemia due to MH and hemoglobin levels did not differ significantly between patients with and without relapse. Therefore, a lack of such parameters does not appear to yield large bias. In conclusion, our study revealed that an elevated platelet count could predict the risk of relapse in clinically quiescent UC patients with MH. In an era when MH is nothing special, our findings could greatly benefit the clinical maintenance of UC.
  26 in total

1.  Reticulated platelet levels in patients with ulcerative colitis.

Authors:  Hasan Kayahan; Mesut Akarsu; Mehmet Ali Ozcan; Serdal Demir; Halil Ates; Belkis Unsal; Hale Akpinar
Journal:  Int J Colorectal Dis       Date:  2007-06-05       Impact factor: 2.571

2.  Prognosis of ulcerative colitis differs between patients with complete and partial mucosal healing, which can be predicted from the platelet count.

Authors:  Asuka Nakarai; Jun Kato; Sakiko Hiraoka; Toshihiro Inokuchi; Daisuke Takei; Yuki Moritou; Mitsuhiro Akita; Sakuma Takahashi; Keisuke Hori; Keita Harada; Hiroyuki Okada; Kazuhide Yamamoto
Journal:  World J Gastroenterol       Date:  2014-12-28       Impact factor: 5.742

3.  A new rapid quantitative test for fecal calprotectin predicts endoscopic activity in ulcerative colitis.

Authors:  Triana Lobatón; Francisco Rodríguez-Moranta; Alicia Lopez; Elena Sánchez; Lorena Rodríguez-Alonso; Jordi Guardiola
Journal:  Inflamm Bowel Dis       Date:  2013-04       Impact factor: 5.325

4.  Correlation of C-reactive protein with clinical, endoscopic, histologic, and radiographic activity in inflammatory bowel disease.

Authors:  Craig A Solem; Edward V Loftus; William J Tremaine; William S Harmsen; Alan R Zinsmeister; William J Sandborn
Journal:  Inflamm Bowel Dis       Date:  2005-08       Impact factor: 5.325

5.  Prognostic value of serologic and histologic markers on clinical relapse in ulcerative colitis patients with mucosal healing.

Authors:  Talat Bessissow; Bart Lemmens; Marc Ferrante; Raf Bisschops; Kristel Van Steen; Karel Geboes; Gert Van Assche; Séverine Vermeire; Paul Rutgeerts; Gert De Hertogh
Journal:  Am J Gastroenterol       Date:  2012-11-13       Impact factor: 10.864

6.  The value of fecal calprotectin as a marker of intestinal inflammation in patients with ulcerative colitis.

Authors:  İbrahim Koral Önal; Yavuz Beyazit; Burçin Şener; Burak Savuk; Diğdem Özer Etık; Abdurrahim Sayilir; Erkin Öztaş; Serkan Torun; Yasemin Özderın Özın; Bilge Tunç Demırel; Aysel Ülker; Ülkü Dağli
Journal:  Turk J Gastroenterol       Date:  2012       Impact factor: 1.852

7.  Evaluation of the Risk of Relapse in Ulcerative Colitis According to the Degree of Mucosal Healing (Mayo 0 vs 1): A Longitudinal Cohort Study.

Authors:  Manuel Barreiro-de Acosta; Nicolau Vallejo; Daniel de la Iglesia; Laura Uribarri; Iria Bastón; Rocío Ferreiro-Iglesias; Aurelio Lorenzo; J Enrique Domínguez-Muñoz
Journal:  J Crohns Colitis       Date:  2015-09-07       Impact factor: 9.071

8.  Low fecal calprotectin predicts sustained clinical remission in inflammatory bowel disease patients: a plea for deep remission.

Authors:  Erik Mooiweer; Mirjam Severs; Marguerite E I Schipper; Herma H Fidder; Peter D Siersema; Robert J F Laheij; Bas Oldenburg
Journal:  J Crohns Colitis       Date:  2014-11-26       Impact factor: 9.071

9.  Beyond endoscopic mucosal healing in UC: histological remission better predicts corticosteroid use and hospitalisation over 6 years of follow-up.

Authors:  Robert V Bryant; Daniel C Burger; Joseph Delo; Alissa J Walsh; Sally Thomas; Axel von Herbay; Otto C Buchel; Lydia White; Oliver Brain; Satish Keshav; Bryan F Warren; Simon P L Travis
Journal:  Gut       Date:  2015-05-18       Impact factor: 23.059

10.  Clinical Study of the Relation between Mucosal Healing and Long-Term Outcomes in Ulcerative Colitis.

Authors:  Kaoru Yokoyama; Kiyonori Kobayashi; Miyuki Mukae; Miwa Sada; Wasaburo Koizumi
Journal:  Gastroenterol Res Pract       Date:  2013-05-09       Impact factor: 2.260

View more
  6 in total

Review 1.  IL-1 and CD40/CD40L platelet complex: elements of induction of Crohn's disease and new therapeutic targets.

Authors:  Doha Anka Idrissi; Nezha Senhaji; Asmae Aouiss; Loubna Khalki; Youssef Tijani; Nabil Zaid; Fatima Zahra Marhoume; Abdallah Naya; Mounia Oudghiri; Mostafa Kabine; Younes Zaid
Journal:  Arch Pharm Res       Date:  2021-01-04       Impact factor: 4.946

Review 2.  Assessment of disease activity in inflammatory bowel diseases: Non-invasive biomarkers and endoscopic scores.

Authors:  Bruno Lima Rodrigues; Márcia Carolina Mazzaro; Cristiane Kibune Nagasako; Maria de Lourdes Setsuko Ayrizono; João José Fagundes; Raquel Franco Leal
Journal:  World J Gastrointest Endosc       Date:  2020-12-16

3.  Development and validation of a nomogram to predict indolent course in patients with ulcerative colitis: a single-center retrospective study.

Authors:  Na Li; Shukai Zhan; Caiguang Liu; Tong Li; Tong Tu; Baili Chen; Yao He; Minhu Chen; Zhirong Zeng; Xiaojun Zhuang
Journal:  Gastroenterol Rep (Oxf)       Date:  2022-06-30

4.  Association between platelet count and mucosal healing in Japanese patients with ulcerative colitis: a cross-sectional study.

Authors:  Shinya Furukawa; Sen Yagi; Kana Shiraishi; Kenichirou Mori; Tomoyuki Ninomiya; Keitarou Kawasaki; Yuji Mizukami; Seiyuu Suzuki; Masayoshi Uraoka; Naozumi Shibata; Sanae Nakamura; Satoshi Imamine; Hidehiro Murakami; Katsuhisa Ohashi; Masamoto Torisu; Aki Hasebe; Harumi Yano; Masato Murakami; Eiji Takeshita; Yoshio Ikeda; Yoichi Hiasa
Journal:  BMC Gastroenterol       Date:  2020-11-16       Impact factor: 3.067

5.  Is It Possible to Predict Clonal Thrombocytosis in Triple-Negative Patients with Isolated Thrombocytosis Based Only on Clinical or Blood Findings?

Authors:  Tanja Belčič Mikič; Bor Vratanar; Tadej Pajič; Saša Anžej Doma; Nataša Debeljak; Irena Preložnik Zupan; Matjaž Sever; Samo Zver
Journal:  J Clin Med       Date:  2021-12-11       Impact factor: 4.241

6.  Predicting a rapid response to adalimumab treatment and favorable short-term outcomes through the high platelet count in patients with ulcerative colitis: A multicenter retrospective cohort study.

Authors:  Ryosuke Sakemi; Maki Miyakawa; Hiroki Tanaka; Masanao Nasuno; Satoshi Motoya; Tokuma Tanuma; Manabu Ishii; Hideyuki Yanagisawa; Masaki Yamashita; Nariaki Toita; Ryo Suzuki; Toshihisa Kobayashi; Masanori Nojima; Suketo So
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.