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Neutrophil-to-lymphocyte ratio may predict clinical relapse in ulcerative colitis patients with mucosal healing

  • Noriyuki Kurimoto,

    Roles Writing – original draft

    Affiliation Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan

  • Yu Nishida,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Shuhei Hosomi ,

    Roles Supervision

    shuhosomi@gmail.com

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Shigehiro Itani,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Yumie Kobayashi,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Rieko Nakata,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Masaki Ominami,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Yuji Nadatani,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Shusei Fukunaga,

    Roles Conceptualization, Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Koji Otani,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Fumio Tanaka,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Yasuaki Nagami,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Koichi Taira,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Noriko Kamata,

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

  • Yasuhiro Fujiwara

    Roles Writing – review & editing

    Affiliation Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan

Abstract

Endoscopic mucosal healing (MH) is an important treatment goal for patients with ulcerative colitis (UC). The neutrophil-to-lymphocyte ratio (NLR) reflects systemic inflammation and has been reported to be a useful predictive marker for UC. This study aimed to evaluate the clinical utility of the NLR for predicting clinical relapse in UC patients with MH. We retrospectively enrolled patients with UC who underwent colonoscopy at the Osaka City University Hospital between January 2010 and December 2010, whose Mayo Endoscopic Subscore was 0 or 1. The correlation between the incidence of relapse and demographic factors, including the NLR, was analyzed. We included 129 patients in the present study. The median NLR at the time of endoscopy was 1.98, and differences in the high NLR group and the low NLR group were compared. During a median follow-up period of 46.4 months, 58 patients (45.0%) experienced relapse. The cumulative relapse-free rate was significantly higher in the low NLR group than in the high NLR group (P = 0.03, log-rank test). Multivariate analysis identified high NLR as an independent prognostic factor for clinical relapse (hazard ratio, 1.74; 95% confidence interval, 1.02–2.98; P = 0.04). NLR is a novel and useful predictor of clinical relapse in UC patients with MH, and it can potentially be a strong indicator to determine the appropriate treatment strategy and decision-making in clinical practice.

Introduction

Ulcerative colitis (UC) is a chronic inflammatory bowel disease (IBD) of unknown cause that primarily affects the mucous membranes, often forming erosions and ulcers. Symptoms of ulcerative colitis include rectal bleeding and abdominal pain, and these symptoms are characterized by remission and recurrence even with sufficient treatment [1]. The European Crohn’s and Colitis Organization guidelines states that achieving mucosal healing (MH) is an important goal of medical therapy [2], as MH is inversely correlated with subsequent clinical relapse, the frequency of hospitalization and surgery, and colorectal cancer incidence [35]. Nevertheless, some patients with MH may also experience relapse. Therefore, several studies have attempted to identify the risk factors, such as histological findings and fecal calprotectin, for relapse in UC after achieving MH [69].

The neutrophil-to-lymphocyte ratio (NLR) is a simple index that can be calculated from the results of ordinary blood tests; it is calculated from a blood sample by dividing the absolute neutrophil count by the absolute lymphocyte count [10]. As the NLR can reflect the systemic status of inflammation or immune response, some studies have reported the association between NLR and the subsequent outcome and prognosis of cancer patients [1113], disease activity in rheumatoid arthritis, or prognosis in septic patients [14, 15]. The usefulness of NLR has also been reported in the field of IBD; NLR is an independent prognostic factor for infliximab therapy [16] or tacrolimus therapy [17]. Akpinar et al., reported that among patients with UC, the mean values of NLR in the endoscopically active disease group were higher as compared to others, with higher values in the endoscopic remission group than in the control group [18]. However, no studies have evaluated the value of NLR in predicting clinical relapse in UC patients with MH. Therefore, our study aimed to assess the clinical utility of the NLR for predicting clinical relapse in patients with UC who have achieved MH.

Materials and methods

Patients

We retrospectively included patients with UC who underwent colonoscopy at the Osaka City University Hospital between January 2010 and December 2010, whose Mayo Endoscopic Subscore (MES) was 0 or 1. We excluded patients who did not have laboratory data on differential white blood cell (WBC) count at endoscopy, patients who changed treatment within 6 months prior to endoscopy, patients who received treatment other than mesalazine (e.g., corticosteroids, immunomodulator, anti-tumor necrosis factor (TNF)-α antibody, and calcineurin inhibitor), and patients without clinical remission.

Evaluation

All patients were followed-up with a physical examination and a blood test. The differential WBC count was analyzed using an XE-5000 hematology analyzer (Sysmex, Kobe, Japan), as per the manufacturer’s protocol. Patients were followed-up from the time of colonoscopy to the onset of clinical relapse, until they were lost to follow-up, or until the end of June 2021. The NLR was calculated from a blood sample by dividing the absolute neutrophil count by the absolute lymphocyte count. In patients who attenuated treatment based on clinical symptoms or endoscopic findings, we defined the tracking period from the time of colonoscopy to the onset of attenuating treatment.

Definitions

Clinical relapse was defined as the exacerbation of gastrointestinal symptoms requiring secondary alternative therapies such as surgery, administration of corticosteroids, or biologics. MH was defined as an MES of 0 or 1 [19].

Study endpoints

The primary outcome of this study was clinical relapse. Predictors of clinical relapse, including various demographic and clinical variables, such as NLR, were analyzed.

Statistical analysis

Continuous variables are presented as medians and interquartile ranges (IQR). The differences in clinical characteristics were compared using either the Chi-squared test or Fisher’s exact test for categorical variables and the Mann-Whitney U-test for continuous variables. The median value was constructed to define a cutoff level for each parameter. The non-cumulative incidence of clinical relapse was illustrated using a Kaplan-Meier plot. Differences in the survival curves were assessed using the log-rank test. A multivariate analysis was performed using a Cox regression model. Data were presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Multivariate Cox regression analyses were performed to identify factors associated with clinical relapse; those factors speculated to be risk factors for clinical relapse were then evaluated in the multivariate analysis.

A P-value of < 0.05 was considered statistically significant. All statistical analyses were performed with EZR (Saitama Medical Center, Jichi Medical University), a graphical user interface for R (The R Foundation for Statistical Computing, version 4.1.1). More precisely, it is a modified version of R commander (version 2.7–1) that includes statistical functions frequently used in biostatistics.

Ethical considerations

This study was approved by the Osaka City University Hospital Certified Review Board (no. 2020–008), which waived the requirement for written informed consent because the analysis used anonymized clinical data that were retrospectively obtained after each patient agreed to receive the treatment. Nevertheless, all patients were notified of the content and information of this study and were given the opportunity to refuse participation. None of the patients refused participation. This study followed the Ethical Guidelines for Medical and Health Research Involving Human Subjects established by the Ministry of Education, Culture, Sports, Science and Technology, and the Ministry of Health, Labor and Welfare in Japan.

Results

Study subjects

Overall, we included 253 patients with UC who underwent colonoscopy, with an MES of 0 or 1 during the study period. Among them, 43 patients without data on differential WBC count, 18 patients who changed treatment within 6 months prior to endoscopy, eight patients who received immunomodulators, 38 patients who received corticosteroids, eight patients who were in a clinical trial for the treatment of UC, two patients who had outpatient care at other hospitals after endoscopy, and one patient who underwent cytapheresis (CAP) treatment were excluded. Additionally, eight patients without clinical remission on their colonoscopy were also excluded. Finally, 129 patients were retrospectively reviewed.

The median follow-up period was 46.4 months (IQR: 9.0–95.7 months). Fifty-eight patients (45.0%) experienced clinical relapse during the observation period. The median duration of remission for the 79 patients who remained in remission was 70.9 months (IQR: 12.3–125.8 months). The median duration of remission for the 58 patients who relapsed was 29.0 months (IQR: 6.5–65.5 months). The cumulative relapse-free rate was 82.8%, 76.2%, and 46.4% at 12, 24, and 96 months, respectively (Fig 1). The demographic characteristics of the patients are summarized in Table 1.

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Fig 1. Cumulative incidence of clinical relapse.

The cumulative relapse-free rate was 76.2% and 46.4% at 24 and 96 months, respectively.

https://doi.org/10.1371/journal.pone.0280252.g001

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Table 1. Baseline characteristics of the study population.

https://doi.org/10.1371/journal.pone.0280252.t001

Comparison between the high NLR and low NLR groups

As the median NLR was 1.98 (IQR: 1.39–2.59), high NLR was defined as an NLR value ≥ 1.98. Sixty-five (50.4%) patients had a high NLR. The comparison between the low NLR group and the high NLR group is shown in Table 2. Compared with patients with low NLR, those with high NLR had significantly higher WBC counts (P < 0.001) and neutrophil counts (P < 0.001), and significantly lower lymphocyte counts (P < 0.001) and albumin levels (P = 0.03). Fig 2 shows a comparison of the cumulative relapse-free rate between the low NLR and high NLR groups. The cumulative relapse-free rate was significantly higher in the low NLR group than in the high NLR group (P = 0.03, log-rank test). The cumulative relapse-free rate in the high NLR group was 67.8% and 35.8% at 24 and 96 months, respectively, and that in the low NLR group was 84.4% and 53.4% at 24 and 96 months, respectively.

thumbnail
Fig 2. Comparison of cumulative incidence of clinical relapse between the high and low neutrophil-to-lymphocyte ratio (NLR) groups.

The cumulative relapse-free rate in the high NLR group was 67.8% and 35.8%, and the cumulative relapse-free rate in the low NLR group was 84.4% and 53.4% at 24 and 96 months, respectively. The cumulative relapse-free rate was significantly higher in the low NLR group than in the high NLR group (P = 0.03, log-rank test).

https://doi.org/10.1371/journal.pone.0280252.g002

Risk factors for clinical relapse

After achieving MH, demographic variables were evaluated as prognostic factors for clinical relapse by univariate Cox regression analysis. High NLR was significantly associated with clinical relapse (unadjusted HR, 1.78; 95% CI, 1.05–3.01; P = 0.03). Other clinical variables such as sex, age of onset, disease duration, site of disease, MES, and platelet count did not show a statistically significant association with clinical relapse (Table 3).

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Table 3. Cox regression analysis of risk for clinical relapse.

https://doi.org/10.1371/journal.pone.0280252.t003

To elucidate the influence of speculated risk factors, multivariate Cox regression analysis was performed to identify factors associated with clinical relapse. Variables included in the multivariate analysis were sex, MES, and platelet count. Multivariate Cox regression analyses identified high NLR as an independent prognostic factor for clinical relapse (adjusted HR, 1.74; 95% CI, 1.02–2.98; P = 0.04) (Table 4).

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Table 4. Cox proportional hazards regression of risk for clinical relapse.

https://doi.org/10.1371/journal.pone.0280252.t004

Discussion

In this study, we showed that in UC patients with MH, the NLR was a predictor of subsequent clinical relapse. NLR is a minimally invasive marker measured by a routine blood test. There have been reports on the association of NLR with therapeutic agents for UC, including reports that NLR may be a biomarker for predicting the outcome of systemic corticosteroid therapy [20] and that NLR is an early predictor of therapeutic response to TNF-α antibody therapy [21]. However, to the best of our knowledge, the prediction of clinical relapse in UC patients with MH using NLR has not been investigated previously. In this study, we described the significance of NLR in patients who achieve MH with no medication or with 5-ASA/SASP preparations alone. Therefore, the present results can be used as criteria for increasing or decreasing the dose of the 5-ASA/SASP formulation, but not as criteria for switching to other UC therapies. We believe that if remission is maintained and the NLR is low, reducing the dose of the therapeutic agent can be considered. Conversely, if remission is maintained but the NLR is high, it can be used as a criterion for increasing the dose of the therapeutic agent.

The underlying mechanism that the NLR was a predictor of clinilcal relapse in UC patients with MH remains poorly understood. Neutrophils induce cytotoxicity and inflammation in UC. A high NLR value may be due to high activity in UC and lowered mucosal barrier function, which may lead to the migration of neutrophils through the gut microbiota [22, 23]. Regarding lymphocytes, they are also involved in the immune function of the host [24]. Furthermore, malnutrition is associated with lymphocyte depletion [25], and malnutrition has been reported to be a predictor for disease flare [26]. It is possible that the depletion of lymphocytes induces clinical relapse due to malnutrition. In the present study, the high NLR group had low albumin level and albumin level was not a predictor of relapse in the univariate analysis using the cox proportional hazards model, and there were no cases of hypoalbuminemia in the blood tests.

We identified a cutoff value of NLR of 1.98 to predict relapse after achieving MH. Lorenzo et al., evaluated NLR at baseline in patients with UC who were treated with infliximab and showed that a value of 2.06 was predictive of MH after 54 weeks of infliximab treatment [21]. This cutoff value was relatively similar to the one obtained in the present study. It is difficult to compare the cutoff value of these studies owing to the differences in the study design. Nonetheless, the cutoff values of this study may be appropriate for the examination of UC for MH.

Because the sample size of this study was relatively small, the general formula for calculating the total sample size was used to calculate the required sample size [27]. Sample size calculation indicated that a total of 118 patients were required to detect a significant association between NLR and clinical relapse with the following assumptions: an α level of 0.05 and a β level of 0.20; half of the patients were allocated to the high NLR group, the incidences of non-clinical relapse in patients with high and low NLR group were 35.8% and 53.4%, and the follow-up period was 8 years. Therefore, the sample size in this study was sufficient to examine the association between NLR and the development of clinical relapse.

Nakarai et al., reported that platelet count was a predictor of clinical relapse in UC patients with MH [28]; however, in the present study, platelet count was not found to be a risk factor for clinical relapse.

The use of 5-aminosalicylic acid (5-ASA) or salazosulfapyridine (SASP) can induce neutropenia [29, 30]. Neutropenia tends to occur at a SASP dose of 3.0–4.0 g/day and within the first 2 months of administration [31]. In the present study, 74 patients were taking 5-ASA and 44 patients were taking SASP. However, there was no significant difference in the use of 5-ASA or SASP between the high NLR and low NLR groups, suggesting that the influence of 5-ASA or SASP medication on NLR might be negligible.

In regard to endoscopic activities, it is controversial whether an MES of 1 is a risk factor for relapse. Some studies state that an MES of 1 is a risk factor for relapse as compared to an MES of 0 [32, 33], whereas other studies have shown contradictory results [4, 34]. In the present study, an MES of 1 was not identified as a risk factor for clinical relapse and there are several possible reasons. First, the sample size of the present study was relatively small. Second, the present study only included patients with clinical remission, unlike most previous reports. Furthermore, this study excluded patients using corticosteroids, immunomodulators, or molecular-targeted therapies, which could influence WBCs.

In this study, the remission maintenance rates in UC patients with MH were 82.8% at 12 months. Previous studies have reported a remission maintenance rate of 73–86% at 12 months in UC patients with MH [28, 33, 35, 36]. Therefore, the remission maintenance rate at 12 months obtained in this study is comparable to previous studies.

Our study has some limitations. This was a single-center, retrospective study with a relatively small cohort that is susceptible to bias in data selection and analysis. NLR is affected by many factors, including malignancy, coronary artery disease, and infection [3739]. We checked the medical records for underlying diseases other than UC and excluded cases with complications such as Sjögren’s syndrome. In addition, there were no cases of infectious disease immediately before enrollment based on our review of the medical records. However, we cannot completely rule out the possibility that patients were treated for colds or other infectious diseases at the hospital they were visiting for other underlying diseases. It is also possible that the patients’ UC symptoms flared up during the observation period due to some infection or worsening of other comorbidities. Furthermore, we did not consider the influence of medications that could change the neutrophil count, such as histamine type-2 receptor antagonists or non-steroidal anti-inflammatory drugs. In addition, we could not evaluate potentially predictive factors, such as histological findings, fecal calprotectin [69], prostaglandin E-major urinary metabolite [40], or leucine-rich alpha-2 glycoprotein [34], since this was a retrospective study. As the number of elderly UC patients is increasing [41], the number of patients with comorbidities, immune dysfunction, polypharmacy, and other factors affecting NLR values is also increasing. Prospective multicenter studies seem necessary to confirm the usefulness of NLR in the real world. Finally, this study did not include patients receiving treatment other than 5-ASA or SASP. We enrolled patients who underwent colonoscopy in 2010. Molecular-targeted therapies are now a major therapeutic strategy for the treatment of UC; however, most of them, including golimumab, ustekinumab, vedolizumab, and tofacitinib, have emerged after 2010. Therefore, a multicenter prospective study with a larger sample size may help verify our results and confirm whether NLR is a predictor of clinical relapse after MH.

In this study, we investigated the utility of NLR in predicting clinical relapse in patients with UC who have achieved MH. Our results suggest that a high NLR is associated with an increased risk of clinical relapse in UC patients with MH, and patients with a high NLR should be followed-up carefully.

References

  1. 1. Langholz E, Munkholm P, Davidsen M, Binder V. Course of ulcerative colitis: analysis of changes in disease activity over years. Gastroenterology. 1994;107(1):3–11. pmid:8020674.
  2. 2. Harbord M, Eliakim R, Bettenworth D, Karmiris K, Katsanos K, Kopylov U, et al. Third European Evidence-based Consensus on Diagnosis and Management of Ulcerative Colitis. Part 2: Current Management. Journal of Crohn’s & colitis. 2017;11(7):769–84. Epub 2017/05/18. pmid:28513805.
  3. 3. Shah SC, Colombel JF, Sands BE, Narula N. Mucosal Healing Is Associated With Improved Long-term Outcomes of Patients With Ulcerative Colitis: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol. 2016;14(9):1245–55.e8. Epub 20160130. pmid:26829025.
  4. 4. Colombel JF, Rutgeerts P, Reinisch W, Esser D, Wang Y, Lang Y, et al. Early mucosal healing with infliximab is associated with improved long-term clinical outcomes in ulcerative colitis. Gastroenterology. 2011;141(4):1194–201. Epub 2011/07/05. pmid:21723220.
  5. 5. Boal Carvalho P, Cotter J. Mucosal Healing in Ulcerative Colitis: A Comprehensive Review. Drugs. 2017;77(2):159–73. pmid:28078646.
  6. 6. Bessissow T, Lemmens B, Ferrante M, Bisschops R, Van Steen K, Geboes K, et al. Prognostic value of serologic and histologic markers on clinical relapse in ulcerative colitis patients with mucosal healing. The American journal of gastroenterology. 2012;107(11):1684–92. Epub 2012/11/14. pmid:23147523.
  7. 7. Bryant RV, Burger DC, Delo J, Walsh AJ, Thomas S, von Herbay A, et al. Beyond endoscopic mucosal healing in UC: histological remission better predicts corticosteroid use and hospitalisation over 6 years of follow-up. Gut. 2016;65(3):408–14. Epub 2015/05/20. pmid:25986946.
  8. 8. Christensen B, Hanauer SB, Erlich J, Kassim O, Gibson PR, Turner JR, et al. Histologic Normalization Occurs in Ulcerative Colitis and Is Associated With Improved Clinical Outcomes. Clinical gastroenterology and hepatology: the official clinical practice journal of the American Gastroenterological Association. 2017;15(10):1557–64.e1. Epub 2017/02/28. pmid:28238954; PubMed Central PMCID: PMC5618439.
  9. 9. Mooiweer E, Severs M, Schipper ME, Fidder HH, Siersema PD, Laheij RJ, et al. Low fecal calprotectin predicts sustained clinical remission in inflammatory bowel disease patients: a plea for deep remission. Journal of Crohn’s & colitis. 2015;9(1):50–5. Epub 2014/12/18. pmid:25518048.
  10. 10. Yamanaka T, Matsumoto S, Teramukai S, Ishiwata R, Nagai Y, Fukushima M. The baseline ratio of neutrophils to lymphocytes is associated with patient prognosis in advanced gastric cancer. Oncology. 2007;73(3–4):215–20. Epub 20080417. pmid:18424885.
  11. 11. Sarraf KM, Belcher E, Raevsky E, Nicholson AG, Goldstraw P, Lim E. Neutrophil/lymphocyte ratio and its association with survival after complete resection in non-small cell lung cancer. J Thorac Cardiovasc Surg. 2009;137(2):425–8. Epub 20080829. pmid:19185164.
  12. 12. Ethier JL, Desautels D, Templeton A, Shah PS, Amir E. Prognostic role of neutrophil-to-lymphocyte ratio in breast cancer: a systematic review and meta-analysis. Breast cancer research: BCR. 2017;19(1):2. Epub 2017/01/07. pmid:28057046; PubMed Central PMCID: PMC5217326.
  13. 13. Templeton AJ, McNamara MG, Šeruga B, Vera-Badillo FE, Aneja P, Ocaña A, et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. Journal of the National Cancer Institute. 2014;106(6):dju124. Epub 2014/05/31. pmid:24875653.
  14. 14. Fu H, Qin B, Hu Z, Ma N, Yang M, Wei T, et al. Neutrophil- and platelet-to-lymphocyte ratios are correlated with disease activity in rheumatoid arthritis. Clin Lab. 2015;61(3–4):269–73. pmid:25974992.
  15. 15. Tian T, Wei B, Wang J. Study of C-reactive protein, procalcitonin, and immunocyte ratios in 194 patients with sepsis. BMC Emerg Med. 2021;21(1):81. Epub 20210707. pmid:34233608; PubMed Central PMCID: PMC8265098.
  16. 16. Nishida Y, Hosomi S, Yamagami H, Yukawa T, Otani K, Nagami Y, et al. Neutrophil-to-Lymphocyte Ratio for Predicting Loss of Response to Infliximab in Ulcerative Colitis. PLoS One. 2017;12(1):e0169845. Epub 20170111. pmid:28076386; PubMed Central PMCID: PMC5226844.
  17. 17. Nishida Y, Hosomi S, Yamagami H, Sugita N, Itani S, Yukawa T, et al. Pretreatment neutrophil-to-lymphocyte ratio predicts clinical relapse of ulcerative colitis after tacrolimus induction. PLoS One. 2019;14(3):e0213505. Epub 20190307. pmid:30845259; PubMed Central PMCID: PMC6405082.
  18. 18. Akpinar MY, Ozin YO, Kaplan M, Ates I, Kalkan IH, Kilic ZMY, et al. Platelet-to-lymphocyte Ratio and Neutrophil-to-lymphocyte Ratio Predict Mucosal Disease Severity in Ulcerative Colitis. J Med Biochem. 2018;37(2):155–62. Epub 20180401. pmid:30581352; PubMed Central PMCID: PMC6294094.
  19. 19. Schroeder KW, Tremaine WJ, Ilstrup DM. Coated oral 5-aminosalicylic acid therapy for mildly to moderately active ulcerative colitis. A randomized study. N Engl J Med. 1987;317(26):1625–9. pmid:3317057.
  20. 20. Endo K, Satoh T, Yoshino Y, Kondo S, Kawakami Y, Katayama T, et al. Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios as Noninvasive Predictors of the Therapeutic Outcomes of Systemic Corticosteroid Therapy in Ulcerative Colitis. Inflamm Intest Dis. 2021;6(4):218–24. Epub 20211116. pmid:35083287; PubMed Central PMCID: PMC8740212.
  21. 21. Bertani L, Rossari F, Barberio B, Demarzo MG, Tapete G, Albano E, et al. Novel Prognostic Biomarkers of Mucosal Healing in Ulcerative Colitis Patients Treated With Anti-TNF: Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio. Inflamm Bowel Dis. 2020;26(10):1579–87. pmid:32232392.
  22. 22. Hermanowicz A, Gibson PR, Jewell DP. The role of phagocytes in inflammatory bowel disease. Clinical science (London, England: 1979). 1985;69(3):241–9. Epub 1985/09/01. pmid:3905214.
  23. 23. Terzić J, Grivennikov S, Karin E, Karin M. Inflammation and colon cancer. Gastroenterology. 2010;138(6):2101–14.e5. pmid:20420949.
  24. 24. Lin EY, Pollard JW. Role of infiltrated leucocytes in tumour growth and spread. Br J Cancer. 2004;90(11):2053–8. pmid:15164120; PubMed Central PMCID: PMC2410285.
  25. 25. Chandra RK. Numerical and functional deficiency in T helper cells in protein energy malnutrition. Clin Exp Immunol. 1983;51(1):126–32. pmid:6219837; PubMed Central PMCID: PMC1536761.
  26. 26. Vohra I, Attar B, Haghbin H, Mutneja H, Katiyar V, Sharma S, et al. Incidence and risk factors for 30-day readmission in ulcerative colitis: nationwide analysis in biologic era. Eur J Gastroenterol Hepatol. 2021;33(9):1174–84. pmid:34034271.
  27. 27. Hulley SB. Designing clinical research: an epidemiologic approach. Second edition. ed. Philadelphia, Pa: Lippincott Williams & Wilkins; 2001. iv, 336 pages: illustrations p.
  28. 28. Nakarai A, Kato J, Hiraoka S, Takashima S, Inokuchi T, Takahara M, et al. An Elevated Platelet Count Increases the Risk of Relapse in Ulcerative Colitis Patients with Mucosal Healing. Gut and liver. 2018;12(4):420–5. Epub 2018/06/28. pmid:29945423; PubMed Central PMCID: PMC6027830.
  29. 29. Daneshmend TK. Mesalazine-associated thrombocytopenia. Lancet. 1991;337(8752):1297–8. pmid:1674100.
  30. 30. Wyatt S, Joyner MV, Daneshmend TK. Filgrastim for mesalazine-associated neutropenia. Lancet. 1993;341(8858):1476. pmid:8099166.
  31. 31. Jacobson IM, Kelsey PB, Blyden GT, Demirjian ZN, Isselbacher KJ. Sulfasalazine-induced agranulocytosis. Am J Gastroenterol. 1985;80(2):118–21. pmid:2857524.
  32. 32. Yokoyama K, Kobayashi K, Mukae M, Sada M, Koizumi W. Clinical Study of the Relation between Mucosal Healing and Long-Term Outcomes in Ulcerative Colitis. Gastroenterology research and practice. 2013;2013:192794. Epub 2013/06/14. pmid:23762033; PubMed Central PMCID: PMC3665176.
  33. 33. Barreiro-de Acosta M, Vallejo N, de la Iglesia D, Uribarri L, Bastón I, Ferreiro-Iglesias R, et al. Evaluation of the Risk of Relapse in Ulcerative Colitis According to the Degree of Mucosal Healing (Mayo 0 vs 1): A Longitudinal Cohort Study. Journal of Crohn’s & colitis. 2016;10(1):13–9. Epub 2015/09/10. pmid:26351390.
  34. 34. Yamamoto T, Shimoyama T, Umegae S, Matsumoto K. Endoscopic score vs. fecal biomarkers for predicting relapse in patients with ulcerative colitis after clinical remission and mucosal healing. Clinical and translational gastroenterology. 2018;9(3):136. Epub 2018/03/02. pmid:29491393; PubMed Central PMCID: PMC5862153.
  35. 35. 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. Inflammatory bowel diseases. 2014;20(7):1187–93. Epub 2014/05/31. pmid:24874457.
  36. 36. Boal Carvalho P, Dias de Castro F, Rosa B, Moreira MJ, Cotter J. Mucosal Healing in Ulcerative Colitis—When Zero is Better. Journal of Crohn’s & colitis. 2016;10(1):20–5. Epub 2015/10/07. pmid:26438714.
  37. 37. Garcea G, Ladwa N, Neal CP, Metcalfe MS, Dennison AR, Berry DP. Preoperative neutrophil-to-lymphocyte ratio (NLR) is associated with reduced disease-free survival following curative resection of pancreatic adenocarcinoma. World J Surg. 2011;35(4):868–72. pmid:21312035.
  38. 38. Liu YL, Lu JK, Yin HP, Xia PS, Qiu DH, Liang MQ, et al. High Neutrophil-to-Lymphocyte Ratio Predicts Hemorrhagic Transformation in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis. Int J Hypertens. 2020;2020:5980261. Epub 20200227. pmid:32181011; PubMed Central PMCID: PMC7064843.
  39. 39. Xu Y, Fang H, Qiu Z, Cheng X. Prognostic role of neutrophil-to-lymphocyte ratio in aortic disease: a meta-analysis of observational studies. J Cardiothorac Surg. 2020;15(1):215. Epub 20200810. pmid:32778122; PubMed Central PMCID: PMC7419193.
  40. 40. Ishida N, Sugiura K, Miyazu T, Tamura S, Suzuki S, Tani S, et al. Prostaglandin E-Major Urinary Metabolite Predicts Relapse in Patients With Ulcerative Colitis in Clinical Remission. Clinical and translational gastroenterology. 2020;11(12):e00289. Epub 2021/01/30. pmid:33512810; PubMed Central PMCID: PMC7732263.
  41. 41. Higashiyama M, Sugita A, Koganei K, Wanatabe K, Yokoyama Y, Uchino M, et al. Management of elderly ulcerative colitis in Japan. J Gastroenterol. 2019;54(7):571–86. Epub 20190420. pmid:31025187; PubMed Central PMCID: PMC6685935.