Peripheral blood neutrophil-to-lymphocyte ratio in inflammatory bowel disease and disease activity: A meta-analysis

Association between the immune-inflammation index and the severity and clinical outcomes of patients with inflammatory bowel disease: a systematic review and meta-analysis

BACKGROUND

Existing studies have explored the association between immune-inflammatory indices and inflammatory bowel disease (IBD), but there is a lack of comprehensive evidence. This meta-analysis and systematic review seeks to synthesize the data of available clinical research and offer the latest and comprehensive evidence-based conclusions regarding whether these immune-inflammatory indices can effectively predict the severity, activity, and prognosis of IBD.

METHODS

Seven databases were comprehensively retrieved from their establishment to March 23, 2025. The combined results were described through standardized mean differences (SMD) or odds ratios (OR) with 95% confidence intervals (CI). Review Manager 5.4 and STATA 15.0 were leveraged for data analysis.

RESULTS

Our analysis included 35 studies involving 5,870 patients. The aggregated data revealed that the neutrophil-to-lymphocyte ratio (NLR) (OR = 1.18, 95% CI:1.04 to 1.34; P = 0.001) (SMD = 1.01, 95%CI = 0.73 to 1.29, P < 0.001), platelet-to-lymphocyte ratio (PLR) (SMD = 0.60, 95%CI = 0.46 to 0.74, P < 0.001), neutrophil-to-platelet ratio (NPR) (OR = 1.20, 95% CI:1.08 to 1.32, P < 0.001), and C-reactive protein to albumin ratio (CRP/ALB) (OR = 1.50, 95% CI:1.38 to 1.65, P < 0.001) were potentially linked to disease activity in IBD patients. PLR (SMD = 1.08, 95%CI = 0.60 to 1.55, P < 0.001) showed potential associations with disease severity in IBD patients. Additionally, NLR (SMD = 0.43, 95%CI = 0.15 to 0.70, P = 0.002) and eosinophil-to-lymphocyte ratio (ELR) (SMD = 0.63, 95%CI = 0.26 to 1.00, P < 0.001) had potential associations with endoscopic response in IBD patients. Moreover, NLR was potentially associated with disease relapse(OR = 1.35, 95% CI:1.09 to 1.68; P = 0.006) and steroid responsiveness (SMD = 0.50, 95%CI = 0.15 to 0.85, P = 0.005).

CONCLUSION

NLR, PLR, NPR, and CRP/ALB are potential predictors of disease activity in IBD patients. PLR shows the potential to predict disease severity, while NLR and ELR are potential indicators of endoscopic response. Furthermore, NLR is also a potential predictor of relapse and steroid responsiveness. Currently, there is insufficient evidence to support an association between NLR and the severity of IBD, whereas lymphocyte-to-monocyte ratio (LMR) appears to be associated with both the severity and activity of IBD and PLR and eosinophil*neutrophil-to-lymphocytes ratio (ENLR) are associated with endoscopic response in IBD.

PROSPERO REGISTRATION

CRD 42024609659.

Clinical relevance of inflammatory markers in the evaluation of severity of ulcerative colitis: A retrospective study

This study aimed to investigate the clinical relevance of inflammatory markers in the severity assessment of ulcerative colitis (UC). The inflammatory markers included the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and calcium ion (Ca2+) levels. A retrospective analysis was on 110 patients with UC and 52 patients with irritable bowel syndrome (IBS), admitted to Weifang People's Hospital between June 2019 and February 2021. UC severity was classified using the modified Mayo score and the Montreal classification system. The study assessed the predictive accuracy and correlation of these inflammatory markers with UC severity and extent. Levels of NLR, PLR, CRP, ESR, and Ca2+ were significantly elevated in individuals with UC compared to those with IBS. Among patients with UC, significant differences in these markers were observed across varying severity levels as defined by the modified Mayo score. However, aside from ESR, no significant differences were noted in NLR, PLR, CRP, or Ca2+ levels across groups defined by lesion extent. Receiver operating characteristic curve analysis indicated that NLR exhibited the highest predictive accuracy for UC, with a cut-off value of 2.603 yielding a sensitivity of 0.545, specificity of 0.288, and an area under the curve (AUC) of 0.896. The combined use of NLR, PLR, CRP, ESR, and Ca2+ demonstrated superior predictive performance, achieving an AUC of 0.972, sensitivity of 0.927, and specificity of 0.923 at a cut-off value of 0.455. NLR, PLR, CRP, ESR, and Ca2+ exhibit predictive value for UC, with NLR demonstrating the highest individual predictive performance. The combined use of these markers enhances predictive accuracy, highlighting their potential application in clinical practice for the evaluation of severity UC. Due to ethical considerations at our institution, the IBS group was used as a substitute for healthy controls. The IBS group was included solely for the calibration and testing of inflammatory biomarkers, as well as for subsequent analysis of their role in assessing UC severity.

Diagnostic value of lymphocyte-to-monocyte ratio in Crohn's disease: a cross-sectional study

Background

Investigating non-invasive laboratory biomarkers for detecting and classifying Crohn's disease (CD) activity remains challenging. Here, we aimed to evaluate the diagnostic efficacy of immunological biomarkers in identifying disease activity in newly diagnosed CD patients.

Methods

This cross-sectional study was performed from October 2022 to July 2023 and included 20 healthy participants and 46 confirmed newly diagnosed CD patients in a Teaching Hospital for Gastroenterology and Hepatology, Sulaimani, Iraq. The patients were categorized according to the disease activity assessed according to the Harvey-Bradshaw Index and divided into remission and active CD.

Results

A statistically higher serum C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) levels were found among the remission CD group (P = 0.005 and P = 0.0002, respectively) and active CD group (P < 0.0001 and P < 0.0001, respectively) compared to the healthy controls. Moreover, the mean CRP and ESR levels among active CD were also considerably higher than those of remission CD (P = 0.018 and P = 0.005, respectively). The lymphocyte-to-monocyte ratio (LMR) was significantly lower in patients with active disease (3.01 ± 1.36) than in remission patients (6.77 ± 2.17) (cutoff < 4.42, area under receiver-operating characteristic curve (ROC) = 0.807, 95% CI, 77.35-98.73%, 93% sensitivity, and 78% specificity). Although the neutrophil-to-lymphocyte ratio (NLR) was significantly elevated in active patients (3.64 ± 2.004) compared to healthy controls (1.91 ± 0.48; P = 0.0001), it is not usable for disease activity or severity as the area under the ROC curve was 0.68 (95% CI, 52.22-85.08%, sensitivity = 79%, specificity = 62%).

Conclusion

The LMR can be an affordable, easily accessible test that shows promise for determining disease activity in newly diagnosed CD patients.

Neutrophil-to-Lymphocyte Ratio at Diagnosis Predicts Colonoscopic Activity in Pediatric Inflammatory Bowel Diseases

INTRODUCTION

Neutrophil-to-lymphocyte ratio (NLR) is a novel biomarker studied in several autoimmune diseases including inflammatory bowel disease (IBD) in adults but poorly characterized in pediatric IBD (pIBD). We aimed to primarily investigate the relationship between NLR and pIBD endoscopic disease severity. We also examined whether NLR predicted hospitalization, surgery, and therapy response by 52 weeks.

METHODS

We used the Canadian Children IBD Network prospective inception cohort including patients < 18 years old with baseline data from 2013 to 2022. We excluded patients with concurrent diseases affecting NLR. Both Mayo endoscopic score (MES) and simple endoscopic scale for Crohn's disease (SES-CD) were dichotomized as low activity (quiescent-mild) and high activity (moderate-severe). For therapy responses, we examined year-1 steroid- and biologic-free remission. We used logistic regression for binary outcomes.

RESULTS

A total of 580 patients with ulcerative colitis and 1,081 patients with CD were included. High NLR was associated with high-activity MES and SES-CD in both univariate and multivariable analyses (odds ratio = 1.45, 95% CI = 1.07-1.97, P value = 0.016; and odds ratio = 1.42, 95% CI = 1.04-1.94, P value = 0.026, respectively). We also calculated the best NLR cutoff point to predict MES (1.90, sensitivity = 68%, specificity = 67%, area under the curve [AUC] = 0.67, AUC 95% CI = 0.59-0.74) and SES-CD (2.50, sensitivity = 63%, specificity = 69%, AUC = 0.66, AUC 95% CI = 0.59-0.75) high activity. NLR did not predict therapy response in either ulcerative colitis or CD.

DISCUSSION

Patients with pIBD with high baseline NLR are more probable to have worse endoscopic disease at diagnosis. This highlights NLR potential as a reliable noninvasive biomarker of disease activity. The predictive power of NLR is based mostly on neutrophils and the balance between neutrophils and lymphocytes.

Mendelian randomization study of circulating leukocytes counts reveals causal associations with inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic recurrent IBD, whose cause involves the interaction between genetic and environmental factors. Although there is a recognized link between immune response and IBD, the causal relationship between circulating immune cell counts and IBD remains controversial. This study aimed to elucidate the causal relationship between genetically predicted circulating immune cell counts and IBD. We conducted a bidirectional 2-sample Mendelian randomization (MR) study using aggregated statistics from genome-wide association studies. The causal relationship between 5 circulating leukocytes cells (monocytes, lymphocytes, eosinophils, basophils and neutrophils) counts and IBD, including ulcerative colitis (UC) and Crohn disease (CD) was analyzed. Horizontal pleiotropy test and heterogeneity test were used to ensure the stability of the results. Our findings indicated that monocytes, lymphocytes, eosinophils, and basophils count were not significantly associated with IBD, however, elevated circulating neutrophils count was significantly associated with higher risk of IBD [odds ratio (OR) = 1.0017; 95% confidence interval (CI) = 1.0004-1.003; P = .009] and UC [OR = 2.465; 95% CI = 1.236-4.916; P = .01]. In addition, we also found that IBD [OR: 12.07; 95% CI = 1.909-76.316; P = .008] and CD [OR = 1.014; 95% CI = 1.004-1.023; P = .005] were significantly associated with higher circulating neutrophils count in reverse MR. This MR study provides genetic evidence for the causal relationship between the genetically predicted increase in circulating neutrophils count and the risk of IBD (UC and CD). This finding stresses the need for further exploring physiological functions of neutrophils in order to develop effective strategies against IBD.

Association of First-Trimester Combined Inflammatory Markers (NLR, SII, SIRI, and AISI) With Poor Obstetric Outcomes in Pregnancies With Ulcerative Colitis

AIM

To compare the first-trimester combined inflammatory markers between pregnant women diagnosed with ulcerative colitis (UC) and healthy pregnant women. Furthermore, to investigate the predictive value of these markers for adverse obstetric outcomes in pregnant women affected by UC.

METHODS

In this retrospective study, data were collected from pregnant women with UC who gave birth at our hospital between January 2021 and May 2024 and from a control group of healthy pregnant women. A comparison was made between the two groups in terms of their demographic characteristics, neonatal outcomes, and the values of the first-trimester neutrophil-to-lymphocyte ratio (NLR), systemic inflammation index (SII), systemic inflammatory response index (SIRI), and aggregated index of systemic inflammation (AISI). Furthermore, the relationship between these combined inflammatory markers and adverse obstetric outcomes in pregnant women with UC was investigated.

RESULTS

No notable discrepancy was observed between the UC group and the control group with respect to SIRI and AISI. The first-trimester NLR and SII values were observed to be higher in the UC group in comparison to the control group. The data indicated that pregnant women with UC who experienced poor obstetric outcomes exhibited elevated levels of NLR, SII, SIRI, and AISI during the first trimester. In the ROC analysis, the predictive capacity of all four parameters for poor obstetric outcomes in UC patients was statistically significant.

CONCLUSION

There is an association between elevated combined inflammatory markers in the first trimester and poor obstetric outcomes in pregnant women with UC.

The ability of C-reactive protein-albumin ratio to predict disease activity in ulcerative colitis

AIM

Ulcerative colitis (UC) is an incurable disease represented by relapse and remission. Noninvasive biomarkers are required to predict disease activation. This study aimed to identify noninvasive biomarkers, such as the c-reactive protein-albumin (CRP/ALB) ratio, platelet-lymphocyte ratio (PLR), and neutrophil-lymphocyte ratio (NLR), that might forecast disease activation in UC.

METHODS

This retrospective study included 443 participants: 192 patients with active UC, 166 in remission, and 85 healthy controls. Mayo Endoscopic Subscore was employed to assess endoscopic disease activity. Serum CRP, erythrocyte sedimentation rate (ESR), ALB levels, and complete blood count characteristics were documented. Three ratios of inflammation-related indicators were identified as CRP/ALB, PLR, and NLR.

RESULTS

A positive correlation was found between ESR, CRP, neutrophil count, platelet count, levels of CRP/ALB, PLR, NLR, and endoscopic activity. The CRP/ALB ratio demonstrated more efficacy than the NLR and PLR in differentiating the UC patients from the controls (p = 0.007, p = 0.003, respectively) and the active group from the remission group (p < 0.001, p < 0.001, respectively). Regression analysis revealed that the CRP/ALB was significantly able to distinguish active UC from the remission group and the controls (p < 0.001, p < 0.001, respectively).

CONCLUSION

The CRP/ALB ratio could be useful as an independent predictive biomarker for disease activity in UC.

The neutrophil-lymphocyte ratio as a risk factor for all-cause mortality among individuals with resolved HBV infection: evidence from the NHANES 1999-2018

Background

Inflammation is a critical component in the process of resolved hepatitis B virus (HBV) infection. The neutrophil-to-lymphocyte ratio (NLR) serves as a sensitive indicator of systemic inflammation and immune activation. Our study aimed to investigate the correlation between elevated NLR levels and the risk of all-cause mortality in patients with resolved HBV infection. Additionally, we evaluated the potential mediating effect of diabetes mellitus (DM) on this correlation.

Methods

Our study enrolled 1,146 adult patients with resolved HBV infection from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. We utilized the Restricted Cubic Splines (RCS) and Maximum Selection Rank Statistical Method (MSRSM) to analyze the relationship between the NLR and the risk of all-cause mortality. The impact of NLR was evaluated using a weighted multivariate Cox regression model, and the model's predictive accuracy was assessed using time-dependent Receiver Operating Characteristic (ROC) curves. An intermediary analysis was conducted to explore the potential influence of DM on the observed relationship.

Results

During follow-up period of 103.54 ± 4.90 months, we recorded 207 deaths among the study participants. The analysis using the RCS method revealed a significant positive correlation between the NLR and the risk of all-cause mortality. Those with elevated NLR levels faced a substantially higher mortality risk compared to those with lower levels, as indicated by a Hazard Ratio (HR) of 1.84, with a 95% Confidence Interval (CI) of 1.17 to 2.89 (p < 0.05). The predictive accuracy of the model was substantial, as evidenced by the Area Under the Curve (AUC) for ROC curves at 3, 5, and 10 years, which were 0.873, 0.870, and 0.862, respectively. Furthermore, mediation analysis indicated that DM significantly influenced the relationship between the NLR and mortality, with a mediation effect of 6.57% (95% Confidence Interval [CI]: 0.64 to 15%; p = 0.02).

Conclusion

Elevated NLR is significantly associated with an increased risk of all-cause mortality in patients with resolved HBV infection. Concurrently, DM acts as a partial mediator of this association.

Prognostic value of neutrophil to lymphocyte ratio and platelet indices in cats with feline panleukopenia

The aim of this study was to ascertain the prognostic significance of the neutrophil to lymphocyte ratio (NLR) and platelet indices during hospital admission in cats with feline panleukopenia (FPV). A prospective observational study was conducted on 24 cats diagnosed with FPV. The results of the study demonstrated a significant decrease in NLR, platelet count (PLT), and platelet concentration (PCT) in the FPV survivor group compared to the control group. Furthermore, these parameters exhibited a notable decline in the FPV non-survivor group when compared to both the control group and the FPV survivor group. In contrast, mean platelet volume (MPV) and platelet distribution width (PDW) were significantly elevated in the FPV non-surviving cats compared to the control group. Moreover, receiver operating characteristic (ROC) curve analysis was employed to identify a prognostic cut-off value for predicting the prognosis of cats with FPV. The positive predictive values (PPVs) for survival were determined to be 90 %, 95 %, 85 %, 85 %, 85 %, and 75 %, respectively, using cut-off values of NLR (≤ 0.29), PLT (≤ 202.5 ×10³/µL), PCT (≤ 0.19 %), MPV (≥ 10.3 fL), and PDW (≥ 34.9 %). Based on the sensitivity, specificity and positive predictive values obtained from the ROC analysis, it was concluded that the NLR, MPV, and PLT are excellent biomarkers for determining prognosis in cats with FPV. Nevertheless, the PLT level is of greater significance, exhibiting a higher AUC.

Selenium deficiency in inflammatory bowel disease: A comprehensive meta-analysis

Background

Micronutrient deficiencies, particularly selenium, are common in Inflammatory Bowel Diseases and may influence disease progression and severity. Various studies have investigated blood selenium levels in patients with inflammatory bowel disease, but these studies have shown considerable heterogeneity and are generally limited by small sample sizes. Therefore, this study aims to clarify the selenium status in patients with inflammatory bowel disease compared to controls and to explore the potential of selenium supplementation as a therapeutic option.

Method

A comprehensive search of online databases from January 1980 to December 2023 was conducted, focusing on studies related to selenium levels in patients with inflammatory bowel disease. The relationship between blood selenium concentrations in inflammatory bowel disease patients and controls was pooled using a random-effects model.

Results

From the 1853 references screened, 20 studies were selected based on the inclusion criteria, involving 1792 inflammatory bowel disease patients (including both Crohn's disease and ulcerative colitis cases) and 1648 controls. The meta-analysis demonstrated that inflammatory bowel disease patients have significantly lower selenium levels compared to the control group. This trend was consistent across subgroups differentiated by study characteristics such as design, geographical location, selenium detection methods, types of samples analyzed, and age categories of participants, with particularly notable deficiencies observed in patients with Crohn's disease. The robustness of these findings was supported by sensitivity analysis, and tests for publication bias indicated no significant skewing of results.

Conclusion

The analysis confirms that inflammatory bowel disease patients, especially those with Crohn's disease, have significantly lower levels of selenium compared to controls, suggesting that that selenium supplementation may serve as a valuable adjunct to the therapeutic regimen for managing inflammatory bowel disease, particularly in patients identified with selenium insufficiency.

Clinical analysis and identification of pediatric patients with colonic ulceration

BACKGROUND

A wide variety of diseases mimic inflammatory bowel disease (IBD). This study aimed to reduce the misdiagnosis among children with colonic ulcers.

METHODS

Eighty-six pediatric patients with colonic ulcers detected by colonoscopy were enrolled in the retrospective study. Children were divided into different groups according to the final diagnosis. The clinical characteristics, laboratory examinations, endoscopic findings, and histopathological results were compared.

RESULTS

IBD (n = 37) was just responsible for 43% of patients with colonic ulceration. Other diagnosis included autoimmune diseases (n = 9), infectious enteritis (n = 13), gastrointestinal allergy (n = 8), and other diseases (n = 19). Comparing IBD and non-IBD groups, children with IBD had a higher frequency of symptoms like weight loss/failure to thrive (P < 0.001), perianal lesions (P = 0.001), and oral ulcers (P = 0.022), and higher expression levels of platelet (P = 0.006), neutrophil-to-lymphocyte ratio (NLR) (P = 0.001), erythrocyte sedimentation rate (P < 0.001), C-reactive protein (P < 0.001), Immunoglobulin G (P = 0.012), Interleukin-1β (P = 0.003), Interleukin-6 (P = 0.024) and TNF-α (P = 0.026), and a wider ulcer distribution in the lower gastrointestinal tract (LGIT) (P < 0.001). Expression levels of hemoglobin (P < 0.001) and albumin (P = 0.001) were lower in IBD patients. Multivariate analysis showed hemoglobin, NLR, Score of ulceration in LGIT, and pseudopolyps contributing to the diagnosis of pediatric IBD with colonic ulcers.

CONCLUSIONS

We displayed potential indicators to help diagnose pediatric IBD differentiating from other disorders with colonic ulcers more prudently.

Monocyte CD36 Expression Predicts Disease Activity in Patients With Crohn's Disease

Background: Crohn's disease (CD) is a chronic intestinal inflammatory disease associated with genetic, environmental, and other unknown factors. Cluster of differentiation 36 (CD36) plays an important role in cancer, inflammation, and metabolic diseases. Although CD36 has recently been implicated in various diseases, its role in CD is still unclear. Methods: Blood samples were collected from patients with CD and healthy volunteers. Peripheral blood mononuclear cells (PBMCs) were isolated by density gradient centrifugation over Ficoll-Paque and labeled with monoclonal antibodies (CD14-APC and CD36-PE). Flow cytometer CytoFlex is used for analysis. Results: Twenty-nine patients with CD in remission, 42 patients with active CD, and 23 healthy volunteers were included in the study. Our results showed that the frequency of the CD14+CD36+ monocyte subset was increased in PBMCs from patients with active CD compared with patients in remission and healthy controls. However, CD36 on monocytes was lower in CD compared with the healthy controls. CD36 expression was decreased in patients with active CD compared with that of patients with CD in remission and healthy control subjects, but no difference was found between patients with CD in remission and healthy controls. Interestingly, we found negative correlations of CD36 with HBI, SES-CD, C-reactive protein, and neutrophil-to-lymphocyte ratio. Conclusions: These data indicate that monocyte CD36 associates with disease activity in CD and might be a potential biomarker for assessing the activity of CD.

Nomogram Predicting Grade ≥2 Acute Radiation Enteritis in Patients With Cervical Cancer Receiving Concurrent Chemoradiotherapy

OBJECTIVE

To analyze the risk factors for grade ≥2 ARE in patients with cervical cancer receiving concurrent chemoradiotherapy.

METHODS

A total of 273 patients with cervical cancer receiving concurrent chemoradiotherapy at our hospital were retrospectively enrolled. The patients were divided into training and validation groups. Clinical parameters were analyzed using univariate analysis and multivariate logistic regression analysis. A nomogram model was established based on the independent risk factors selected using multivariate logistic regression. The areas under the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram. The patients were divided into low-score and high-score groups based on the scores calculated using the nomogram model and compared.

RESULTS

Malnutrition, monocyte-lymphocyte ratio ≥0.82 after radiotherapy, platelet-lymphocyte ratio <307.50 after radiotherapy, and bowelbag volume receiving at least 5 and 40 Gy were independent risk factors for grade ≥2 ARE and were incorporated into the nomogram ( P <0.05). The ROC curve, calibration curve, and DCA suggested that the nomogram had good discrimination, concordance, and net benefit in the clinical. A medium nomogram score of 146.50 points was used as the cutoff point, and the incidence of grade ≥2 ARE in the high-score group was higher than that in the low-score group ( P <0.05).

CONCLUSION

The nomogram model for grade ≥2 ARE has good predictive ability and clinical utility, and is convenient for clinicians to identify high-risk groups and develop early prevention and treatment strategies.

Associations of novel complete blood count-derived inflammatory markers with psoriasis: a systematic review and meta-analysis

Psoriasis is an immune-mediated disorder which primarily affects skin and has systemic inflammatory involvement. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) are novel complete blood count (CBC)-derived markers which can reflect systemic inflammation. This study aimed to systematically investigate the associations of NLR, PLR, SII, and MLR with psoriasis. This study was performed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. A comprehensive search of Pubmed, Embase, Scopus, and Google Scholar was conducted for relevant studies. Observational studies evaluating the correlations of NLR, PLR, SII, or MLR with psoriasis were included. The primary outcomes were the associations of these inflammatory markers with the presence and severity of psoriasis. The random-effect model was applied for meta-analysis. 36 studies comprising 4794 psoriasis patients and 55,121 individuals in total were included in the meta-analysis. All inflammatory markers were significantly increased in psoriasis groups compared to healthy controls (NLR: MD = 0.59, 95% CI: 0.47-0.7; PLR: MD = 15.53, 95% CI: 8.48-22.58; SII: MD = 111.58, 95% CI: 61.49-161.68; MLR: MD = 0.034, 95% CI: 0.021-0.048; all p < 0.001). Between-group mean differences in NLR and PLR were positively correlated with the mean scores of Psoriasis Area Severity Index (NLR: p = 0.041; PLR: p = 0.021). NLR, PLR, SII, and MLR are associated with the presence of psoriasis. NLR and PLR serve as significant indicators of psoriasis severity. These novel CBC-derived markers constitute potential targets in the screening and monitoring of psoriasis.

Synovial fluid monocyte-to-lymphocyte ratio in knee osteoarthritis patients predicts patient response to conservative treatment: a retrospective cohort study

BACKGROUND

Biomarkers that predict the treatment response in patients with knee osteoarthritis are scarce. This study aimed to investigate the potential role of synovial fluid cell counts and their ratios as biomarkers of primary knee osteoarthritis.

METHODS

This retrospective study investigated 96 consecutive knee osteoarthritis patients with knee effusion who underwent joint fluid aspiration analysis and received concomitant intra-articular corticosteroid injections and blood tests. The monocyte-to-lymphocyte ratio (MLR) and neutrophil-to-lymphocyte ratio (NLR) were calculated. After 6 months of treatment, patients were divided into two groups: the responder group showing symptom resolution, defined by a visual analog scale (VAS) score of ≤ 3, without additional treatment, and the non-responder group showing residual symptoms, defined by a VAS score of > 3 and requiring further intervention, such as additional medication, repeated injections, or surgical treatment. Unpaired t-tests and univariate and multivariate logistic regression analyses were conducted between the two groups to predict treatment response after conservative treatment. The predictive value was calculated using the area under the receiver operating characteristic curve, and the optimal cutoff value was determined.

RESULTS

Synovial fluid MLR was significantly higher in the non-responder group compared to the responder group (1.86 ± 1.64 vs. 1.11 ± 1.37, respectively; p = 0.02). After accounting for confounding variables, odds ratio of non-responder due to increased MLR were 1.63 (95% confidence interval: 1.11-2.39). The optimal MLR cutoff value for predicting patient response to conservative treatment was 0.941.

CONCLUSIONS

MLR may be a potential biomarker for predicting the response to conservative treatment in patients with primary knee osteoarthritis.

Peripheral and intestinal T lymphocyte subsets in dogs with chronic inflammatory enteropathy

BACKGROUND

Dysregulated T lymphocyte response is thought to play a key role in chronic intestinal inflammation (CIE).

OBJECTIVES

To evaluate the presence of changes in peripheral and intestinal T lymphocyte subsets and to describe potential immune and inflammatory biomarkers in dogs with CIE.

ANIMALS

Sixteen healthy dogs and 26 dogs were diagnosed with CIE.

METHODS

Prospective case-control study evaluating peripheral and intestinal T lymphocytes using flow cytometry and inflammatory markers obtained from complete blood cell counts.

RESULTS

Dogs with CIE had higher peripheral activated T helper (Th) lymphocytes (87/μL [18-273] CIE, 44/μL [16-162] healthy control (HC, P = .013) and regulatory T cells (Treg; 108/μL [2-257] CIE, 34/μL [1-114] HC, P = .004). In the intestinal epithelium, CIE dogs presented lower percentages of Th (4.55% [1.75-18.67] CIE, 8.77% [3.79-25.03] HC, P = .002), activated Th cells (0.16% [0.02-0.83] CIE, 0.33% [0.05-0.57] HC, P = .03) and CD4/CD8 ratio (0.08 [0.02-0.39] CIE, 0.21 [0.07-0.85] HC, P = .003). Conversely, higher percentage of activated T cytotoxic cells (20.24% [3.12-77.12] CIE, 12.32% [1.21-39.22] HC, P = .04) and interferon-gamma (IFN-γ) producing T lymphocytes (7.36% [0.63-55.83] CIE, 1.44% [0.00-10.56] HC, P = .01) within the epithelium was observed. In the lamina propria the percentage of Treg lymphocytes was higher (6.02% [1.00-21.48] CIE, 3.52% [0.18-10.52] HC, P = .02).

CONCLUSIONS AND CLINICAL IMPORTANCE

Systemic and intestinal immune alterations occur in dogs with CIE suggesting that blood IFN-γ producing T lymphocytes and the systemic immune-inflamation index (SII) could potentially serve as biomarkers for the disease.

The prognostic value of absolute lymphocyte count and neutrophil-to-lymphocyte ratio for patients with metastatic breast cancer: a systematic review and meta-analysis

Background

Neutrophil-to-lymphocyte ratio (NLR) is considered a potential prognostic marker in early breast cancer. However, the prognosis of absolute lymphocyte count (ALC) and NLR in metastatic breast cancer (MBC) has been reported in a few studies, and conclusions are still conflicting. This present manuscript aims to provide further solid evidence regarding the prognostic values of ALC and NLR in MBC patients.

Method

Eligible studies that reported the associations between ALC or NLR and MBC were included by searching relative electronic databases. Overall survival (OS) and progression-free survival (PFS) were used as outcome measures. The hazard ratio (HR) values and 95% confidence interval (CI) of the outcome measures were collected as effect sizes, and further analysis and discussion were conducted according to the pooled HR, subgroup analysis, publication bias, and interstudy heterogeneity.

Results

Twenty-nine studies comprising 3,973 patients with MBC were included. According to our findings, lower ALC was significantly associated with poorer prognosis of OS (HR = 0.57, 95% CI 0.48 to 0.68) and PFS (HR = 0.68, 95% CI 0.58 to 0.79), and greater NLR was associated with poorer OS (HR = 1.50, 95% CI 1.35 to 1.67) and PFS (HR = 1.82, 95% CI 1.42 to 2.35). Furthermore, the prognostic values of ALC and NLR in MBC were also observed in the subgroup analyses regarding cutoff values and ethnicities.

Conclusion

Low ALC and elevated NLR were observed to be significantly associated with adverse OS and PFS in MBC, indicating that ALC and NLR may act as potential prognostic biomarkers of MBC patients. Meanwhile, our results will also provide some novel evidence and research clues for the selection and development of clinical treatment strategies for MBC patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42021224114.

Utility of four machine learning approaches for identifying ulcerative colitis and Crohn's disease

Objective

Peripheral blood routine parameters (PBRPs) are simple and easily acquired markers to identify ulcerative colitis (UC) and Crohn's disease (CD) and reveal the severity, whereas the diagnostic performance of individual PBRP is limited. We, therefore used four machine learning (ML) models to evaluate the diagnostic and predictive values of PBRPs for UC and CD.

Methods

A retrospective study was conducted by collecting the PBRPs of 414 inflammatory bowel disease (IBD) patients, 423 healthy controls (HCs), and 344 non-IBD intestinal diseases (non-IBD) patients. We used approximately 70 % of the PBRPs data from both patients and HCs for training, 30 % for testing, and another group for external verification. The area under the receiver operating characteristic curve (AUC) was used to evaluate the diagnosis and prediction performance of these four ML models.

Results

Multi-layer perceptron artificial neural network model (MLP-ANN) yielded the highest diagnostic performance than the other three models in six subgroups in the training set, which is helpful for discriminating IBD and HCs, UC and CD, active CD and remissive CD, active UC and remissive UC, non-IBD and HCs, and IBD and non-IBD with the AUC of 1.00, 0.988, 0.942, 1.00, 0.986, and 0.97 in the testing set, as well as the AUC of 1.00, 1.00, 0.773, 0.904, 1.00 and 0.992 in the external validation set.

Conclusion

PBRPs-based MLP-ANN model exhibited good performance in discriminating between UC and CD and revealing the disease activity; however, a larger sample size and more models need to be considered for further research.

Anti-inflammatory Effect of Batroxobin Combined With Anticoagulation in Patients With Cerebral Venous Thrombosis

Inflammation is pivotal in the pathogenesis and development of cerebral venous thrombosis (CVT). Herein, we aimed to assess the anti-inflammatory effects of batroxobin combined with anticoagulation in CVT. Participants were categorized into the batroxobin group (batroxobin combined with anticoagulation) and the control group (anticoagulation only). Regression analysis was employed to explore the association between the number of episodes of batroxobin administration and the fluctuation of inflammatory indicators, as well as the proportion of patients with inflammatory indicators that were reduced after batroxobin use. Twenty-three cases (age: 39.9 ± 13.8 years, female: 39.1%) in the batroxobin group and 36 cases (40.3 ± 9.6 years, 52.8%) in the control group were analyzed. Compared to the control group, batroxobin combined with anticoagulation significantly decreased fibrinogen (P < .001), platelet-lymphocyte ratio (PLR) (P = .016) and systemic immune-inflammation index (SII) (P = .008), and increased the proportion of the patients with lower fibrinogen (P < .001), neutrophil-lymphocyte ratio (NLR) (P = .005), PLR (P = .026), and SII (P = .006). Linear analysis showed that as the number of episodes of batroxobin administration increased, the fibrinogen (P < .001), the PLR (P = .001), and the SII (P = .020) significantly decreased. Logistic regression analysis showed as the number of episodes of batroxobin administration increased, the ratio of the patients with decreased NLR (P = .008) and PLR (P = .015), as well as SII (P = .013), significantly increased. Batroxobin could decrease NLR, PLR, and SII in CVT. The effect was related to the number of episodes of batroxobin administration. Besides reducing fibrinogen and indirect thrombolysis effects, this may be another critical benefit of batroxobin for CVT.

Assessment of Hematological Profiles and Prognostic Role of Hemogram-Derived Novel Markers for Diabetes Mellitus and Its Complications Among Type 2 Diabetes Mellitus Adult Patients Attending Bishoftu General Hospital, Central, Ethiopia: A Comparative Cross-Sectional Study

Background

Diabetes is a chronic metabolic syndrome that is a global public health problem. Studies have used hematological parameters and hemogram-derived markers as predictors of poor glycemic and microvascular complications status in diabetics. However, the tendency to use these parameters is not fully evaluated in our context, and the evidence is inadequate. This study aimed to assess the hematological profiles and prognostic role of hemogram-derived novel markers in diabetes mellitus and its complications among DM patients at Bishoftu General Hospital, Ethiopia.

Methods

A comparative cross-sectional study was conducted among 261 participants from June 15 to August 12, 2022. A systematic random sampling technique was used to select participants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Hematological parameters and fasting blood glucose levels were determined from blood using Sysmex-XN550 and Cobas C311 analyzers, respectively. Blood smear was used to check Hematology analyzer output, and to screen participants for malaria parasites. Collected data were entered into Epi-data 3.1 and exported to SPSS-25. Data were analyzed by Chi-square, Mann-Whitney U-test, Kruskal-Wallis test, Post hoc test, and ROC curve. A P-value <0.05 was considered statistically significant.

Results

Total WBC, neutrophils, Monocyte, NLR, MLR, MPVLR, and PLR were significantly higher in poor glycemic and complicated T2DM; meanwhile, measured RBC parameters, RBC indices values were significantly lower in poor glycemic and complicated T2DM. The NLR, MLR, MPVLR, PLR, and NLR, MLR, MPVLR, RPR values were identified as predictors of poor glycemic and complication status in diabetic patients, respectively.

Conclusion

Significant increment of some hematological parameters and hemogram-derived markers, and their role in predicting poor glycemic and microvascular complications were identified in diabetic patients. Routine screening of hematological parameters and use of hemogram-derived markers for monitoring of altered health status in DM is very important in the improvement of patient quality of life.

Systemic immune-inflammation index as a potential biomarker to monitor ulcerative colitis

OBJECTIVE

The treat-to-target strategy is recommended by Selecting Therapeutic Targets in Inflammatory Bowel Disease II (STRIDE-II) for treating ulcerative colitis (UC), and monitoring remission status is crucial during this management. The systemic immune-inflammation index (SII), defined as platelet * neutrophil/lymphocyte, is a complete blood count-based index reflecting the balance of immune and inflammatory status. This study aims to investigate the feasibility of SII for diagnosing UC and monitoring UC disease activity.

METHODS

This study retrospectively analyzed patients with UC and controls. Relationships between SII and Mayo clinical score, Mayo Endoscopic Score (MES), and Nancy Histological Index (NHI) were evaluated.

RESULTS

167 patients with UC and 106 controls were included. SII significantly increased in patients with UC and was closely correlated with the Mayo clinical score, MES, and NHI. SII diagnosed UC with a cut-off value of 619.1 × 109/L (area under the curve = 0.861, p < 0.0001, sensitivity 79.64%, specificity 77.36%), evaluated clinical remission status with a cut-off value of 1068 × 109/L (area under the curve = 0.691, p < 0.05, sensitivity 55.71%, specificity 81.48%), endoscopic improvement with a cut-off value of 981.3 × 109/L (area under the curve = 0.819, p < 0.0001, sensitivity 65.22%, specificity 89.66%), and histological healing with a cut-off value of 689.3 × 109/L (area under the curve = 0.898, p < 0.0001, sensitivity 88.89%, specificity 95.83%).

CONCLUSION

SII is a potential biomarker for diagnosing UC and monitoring UC disease severity, especially in evaluating mucosal and histological healing during the long-term management in treat-to-target strategy. However, further research is needed to confirm its usefulness and optimize its clinical application.

The role of Lactobacillus in inflammatory bowel disease: from actualities to prospects

Inflammatory Bowel Disease (IBD), a chronic nonspecific intestinal inflammatory disease, is comprised of Ulcerative Colitis (UC) and Crohn's Disease (CD). IBD is closely related to a systemic inflammatory reaction and affects the progression of many intestinal and extraintestinal diseases. As one of the representative bacteria for probiotic-assisted therapy in IBD, multiple strains of Lactobacillus have been proven to alleviate intestinal damage and strengthen the intestinal immunological barrier, epithelial cell barrier, and mucus barrier. Lactobacillus also spares no effort in the alleviation of IBD-related diseases such as Colitis-associated Colorectal cancer (CAC), Alzheimer's Disease (AD), Depression, Anxiety, Autoimmune Hepatitis (AIH), and so on via gut-brain axis and gut-liver axis. This article aims to discuss the role of Lactobacillus in IBD and IBD-related diseases, including its underlying mechanisms and related curative strategies from the present to the future.

Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimization

Changes in human lifestyles have led to a dramatic increase in the incidence of Crohn's disease worldwide. Predicting the activity and remission of Crohn's disease has become an urgent research problem. In addition, the influence of each attribute in the test sample on the prediction results and the interpretability of the model still deserves further investigation. Therefore, in this paper, we proposed a wrapper feature selection classification model based on a combination of the improved ant colony optimization algorithm and the kernel extreme learning machine, called bIACOR-KELM-FS. IACOR introduces an evasive strategy and astrophysics strategy to balance the exploration and exploitation phases of the algorithm and enhance its optimization capabilities. The optimization capability of the proposed IACOR was validated on the IEEE CEC2017 benchmark test function. And the prediction was performed on Crohn's disease dataset. The results of the quantitative analysis showed that the prediction accuracy of bIACOR-KELM-FS for predicting the activity and remission of Crohn's disease reached 98.98%. The analysis of important attributes improved the interpretability of the model and provided a reference for the diagnosis of Crohn's disease. Therefore, the proposed model is considered a promising adjunctive diagnostic method for Crohn's disease.

Platelet-lymphocyte ratio and lymphocyte-monocyte ratio in inflammatory bowel disease and disease activity: A systematic review and meta-analysis

OBJECTIVE

This review aimed to examine if the platelet-lymphocyte ratio and lymphocyte-monocyte ratio can be useful in determining disease activity in patients with inflammatory bowel disease.

METHODS

PubMed, CENTRAL, Scopus, Embase, and Web of Science were searched for studies published up to 9 January 2023. Platelet-lymphocyte ratio and lymphocyte-monocyte ratio values from active and remission inflammatory bowel disease cases were compared to generate a mean difference (MD).

RESULTS

Nine studies were included. Meta-analysis showed that inflammatory bowel disease patients with active disease had significantly higher values of platelet-lymphocyte ratio as compared to those in remission (MD: 63.46 95% CI: 35.74, 91.17, I2 = 89%). The values of platelet-lymphocyte ratio were significantly higher in both active ulcerative colitis and Crohn's disease patients. Meta-analysis also showed that lymphocyte-monocyte ratio values were significantly lower in active inflammatory bowel disease patients as compared to those under remission (MD: -1.28 95% CI: -1.42, -1.14, I2 = 4%). Lymphocyte-monocyte ratio values were significantly lower in both ulcerative colitis and Crohn's disease patients with active disease.

CONCLUSION

Platelet-lymphocyte ratio and lymphocyte-monocyte ratio can be useful blood-based markers in differentiating active disease in inflammatory bowel disease patients. Active cases of ulcerative colitis and Crohn's disease have high platelet-lymphocyte ratio and low lymphocyte-monocyte ratio as compared to those in remission. Further studies with a larger sample size are needed to strengthen conclusions.

Clinical value of fecal calprotectin for evaluating disease activity in patients with Crohn's disease

Objective: To explore the clinical value of fecal calprotectin (FC) for evaluating disease activity in patients with Crohn's disease (CD) and its relationship with disease location. Methods: Patients with CD were enrolled retrospectively, and clinical data, including FC levels, were collected. Clinical activity was assessed using the Crohn's disease activity index (CDAI). Endoscopic activity was assessed using a simple endoscopic score for Crohn's disease (SES-CD). The partial SES-CD (pSES-CD) was scored for the size of ulcers in each segment as defined by the SES-CD and was calculated as the sum of segmental ulcer scores. Results: This study included 273 CD patients. The FC level was significantly positively correlated with the CDAI and SES-CD, with correlation coefficients of 0.666 and 0.674, respectively. The median FC levels in patients with clinical remission and mildly active and moderately-severely active disease were 41.01, 164.20, and 444.45 μg/g. These values were 26.94, 66.77, and 327.22 μg/g during endoscopic remission and mildly and moderately-severely active stages, respectively. Compared with c-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), and other biomarker parameters, FC was better at predicting disease activity for CD patients. For an FC <74.52 μg/g, the area under the curve (AUC) for predicting clinical remission was 0.86, with a sensitivity of 89.47% and a specificity of 71.70%. Moreover, endoscopic remission was predicted with a sensitivity of 68.02% and a specificity of 85.53%. The AUC was 0.83, and the cutoff value was 80.84 μg/g. In patients with ileal and (ileo) colonic CD, FC was significantly correlated with the CDAI, SES-CD, and pSES-CD. The correlation coefficients were 0.711 (CDAI), 0.473 (SES-CD), and 0.369 (pSES-CD) in patients with ileal CD and 0.687, 0.745, and 0.714 in patients with (ileo) colonic CD, respectively. For patients in remission, those in the active stage, and those with large or very large ulcers, differences in FC levels were not significant between patients with ileal and (ileo) colonic CD. Conclusion: FC is a reliable predictor of disease activity in patients with CD, including those with ileal CD. FC is thus recommended for the routine follow-up of patients with CD.

Performance of Machine Learning Algorithms for Predicting Disease Activity in Inflammatory Bowel Disease

This study aimed to explore the effectiveness of predicting disease activity in patients with inflammatory bowel disease (IBD), using machine learning (ML) models. A retrospective research was undertaken on IBD patients who were admitted into the First Affiliated Hospital of Wenzhou Medical University between September 2011 and September 2019. At first, data were randomly split into a 3:1 ratio of training to test set. The least absolute shrinkage and selection operator (LASSO) algorithm was applied to reduce the dimension of variables. These variables were used to generate seven ML algorithms, namely random forests (RFs), adaptive boosting (AdaBoost), K-nearest neighbors (KNNs), support vector machines (SVMs), naïve Bayes (NB), ridge regression, and eXtreme gradient boosting (XGBoost) to train to predict disease activity in IBD patients. SHapley Additive exPlanation (SHAP) analysis was performed to rank variable importance. A total of 876 participants with IBD, consisting of 275 ulcerative colitis (UC) and 601 Crohn's disease (CD), were retrospectively enrolled in the study. Thirty-three variables were obtained from the clinical characteristics and laboratory tests of the participants. Finally, after LASSO analysis, 11 and 5 variables were screened out to construct ML models for CD and UC, respectively. All seven ML models performed well in predicting disease activity in the CD and UC test sets. Among these ML models, SVM was more effective in predicting disease activity in the CD group, whose AUC reached 0.975, sensitivity 0.947, specificity 0.920, and accuracy 0.933. AdaBoost performed best for the UC group, with an AUC of 0.911, sensitivity 0.844, specificity 0.875, and accuracy 0.855. ML algorithms were available and capable of predicting disease activity in IBD patients. Based on clinical and laboratory variables, ML algorithms demonstrate great promise in guiding physicians' decision-making.

The diagnostic model for early detection of gestational diabetes mellitus and gestational diabetic nephropathy

BACKGROUND

Gestational diabetes mellitus (GDM) and gestational diabetic nephropathy (GDN) have become an increasingly serious problem worldwide, which can cause a large number of adverse pregnancy consequences for mothers and infants. However, the diagnosis of GDM and GDN remains a challenge due to the lack of optimal biomarkers, and the examination has high requirements for patient compliance. We aimed to establish a simple early diagnostic model for GDM and GDN.

METHODS

We recruited 50 healthy pregnant (HP), 99 GDM patients, 99 GDN patients at Daping Hospital. Renal function indicators and blood cell indicators were collected for all patients.

RESULTS

Compared with HP, GDM, and GDN patients exhibited significantly higher urea/creatinine ratio and NEU. The diagnostic model1 based on the combination of urea/creatinine ratio and NEU was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.77 (0.7, 0.84) in distinguishing GDM from HP, and the AUC of the diagnostic model was 0.94 (0.9, 0.97) in distinguishing GDN from HP. Meanwhile, the diagnostic model2 based on the combination of β2-mG, PLT, and NEU in GDM and GDN patients was built using logistic regression, and the area under the ROC curve (AUC ROC) was 0.79 (0.73, 0.85), which was larger than the individual biomarker AUC.

CONCLUSION

Our study demonstrated that the diagnostic model established by the combination of renal function indicators and blood cell indicators could facilitate the differential diagnosis of GDM and GDN patients.

A Novel Neutrophil-Based Biomarker to Monitor Disease Activity and Predict Response to Infliximab Therapy in Patients With Ulcerative Colitis

Background

Ulcerative colitis (UC) is characterized by refractory and recurrent mucosal inflammation, leading to a substantial healthcare burden. Diagnostic biomarkers predicting disease activity and treatment response remain elusive. To evaluate the application value of a novel neutrophil-based index (the neutrophil-to-albumin ratio, NAR) as a novel diagnostic biomarker in patients with UC and a predictive marker for disease activity and response to infliximab (IFX) therapy.

Methods

Clinical characteristics and laboratory parameters of enrolled subjects (patients with UC and healthy controls) were retrieved from the electronic medical record database of our hospital. Serum cytokine and fecal calprotectin levels were measured by enzyme-linked immunosorbent assay (ELISA). Mucosal expression levels of inflammatory agents were measured by quantitative RT-PCR (qRT-PCR).

Results

We found that NAR, which had not yet been explored in UC, was significantly increased in patients with UC (n = 146) compared to that in controls (n = 133) (1.95 ± 0.41 vs. 1.41 ± 0.23, p < 0.0001). NAR showed a positive association with the disease activity and inflammatory load in patients with UC. Pre-treatment NAR was significantly lower in IFX responders than that in non-responders (2.18 ± 0.29 vs. 2.44 ± 0.21, p = 0.0118), showing a significant ability to discriminate initial responders from primary non-responders to IFX induction therapy (AUC = 0.7866, p = 0.0076). Moreover, pre-treatment NAR predicted postinduction serum IFX trough level.

Conclusion

Our study provides evidences to utilize NAR in the diagnosis, activity monitoring, and IFX response prediction in patients with UC.

Clinical Significance of Novel Neutrophil-Based Biomarkers in the Diagnosis and Prediction of Response to Infliximab Therapy in Crohn’s Disease

With the increasing incidence and prevalence, Crohn’s disease (CD) has become one of the most challenging diseases in both diagnosis and treatment of gastroenterology. Evaluation of the disease activity and mucosal healing guides clinical decisions regarding subsequent therapy for CD. In this study, we enrolled a total of 144 patients with CD and 239 healthy controls were enrolled. Clinical characteristics and laboratory parameters of enrolled subjects were retrieved from the electronic medical record database of our hospital. Serum cytokine levels were measured by enzyme-linked immunosorbent assay (ELISA). Mucosa expression levels of inflammatory agents were measured by quantitative RT-PCR (qRT-PCR). We identified two neutrophil-based indexes, the neutrophil-to-albumin ratio (NAR) and neutrophil-to-bilirubin ratio (NBR), both of which had not yet been explored in CD or UC. NAR and NBR were significantly increased in patients with CD compared to those in healthy controls, and both indexes showed significantly positive correlations with CD activity and inflammatory load. In note, NAR and NBR showed better performance than blood neutrophil percentage, serum albumin, or bilirubin alone in these scenarios. More importantly, both NAR and NBR discriminated CD patients who completely or partially responded to infliximab (IFX) induction therapy from those with primary non-response. Our observations suggest that NAR and NBR may serve as promising biomarkers in the diagnosis and prediction of response to IFX therapy in CD.

A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study

BACKGROUND

Depression is associated with an increased risk of death in patients with coronary heart disease (CHD). This study aimed to explore the factors influencing depression in elderly patients with CHD and to construct a prediction model for early identification of depression in this patient population.

MATERIALS AND METHODS

We used propensity-score matching to identify 1,065 CHD patients aged ≥65 years from four hospitals in Chongqing between January 2015 and December 2021. The patients were divided into a training set (n = 880) and an external validation set (n = 185). Univariate logistic regression, multivariate logistic regression, and least absolute shrinkage and selection operator regression were used to determine the factors influencing depression. A nomogram based on the multivariate logistic regression model was constructed using the selected influencing factors. The discrimination, calibration, and clinical utility of the nomogram were assessed by the area under the curve (AUC) of the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA) and clinical impact curve (CIC), respectively.

RESULTS

The predictive factors in the multivariate model included the lymphocyte percentage and the blood urea nitrogen and low-density lipoprotein cholesterol levels. The AUC values of the nomogram in the training and external validation sets were 0.762 (95% CI = 0.722-0.803) and 0.679 (95% CI = 0.572-0.786), respectively. The calibration curves indicated that the nomogram had strong calibration. DCA and CIC indicated that the nomogram can be used as an effective tool in clinical practice. For the convenience of clinicians, we used the nomogram to develop a web-based calculator tool (https://cytjt007.shinyapps.io/dynnomapp_depression/).

CONCLUSION

Reductions in the lymphocyte percentage and blood urea nitrogen and low-density lipoprotein cholesterol levels were reliable predictors of depression in elderly patients with CHD. The nomogram that we developed can help clinicians assess the risk of depression in elderly patients with CHD.

The Platelet-to-Lymphocyte Ratio Predicts Diabetic Retinopathy in Type 2 Diabetes Mellitus

INTRODUCTION

As a severe and specific neurovascular complication of type 2 diabetes mellitus (T2DM), diabetic retinopathy (DR) remains the leading cause of vision loss and preventable blindness in adults aged 20 to 74. The pathogenesis of DR is not completely understood, however, studies indicate that chronic inflammation plays a significant role. Emerging evidence suggests that the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the monocyte-to-lymphocyte ratio (MLR) are novel potential inflammatory response markers. The purpose of this study was to investigate the relationships between the NLR, PLR, MLR, and DR.

PATIENTS AND METHODS

290 patients who had been diagnosed with T2DM participated in the study. Patients were categorized into three groups: 142 control subjects with T2DM, 124 subjects with nonproliferative diabetic retinopathy (NPDR), and 24 patients with proliferative diabetic retinopathy (PDR). Characteristics, laboratory data, as well as NLR, PLR and MLR levels of the study groups were compared.

RESULTS

In patients with DR, the median NLR, PLR, and MLR were significantly higher than in patients without DR (p = 0.012, p < 0.001, and p = 0.043, respectively). In the post hoc analysis, there was no correlation between the severity of retinopathy and the increase in NLR or PLR. Multiple logistic regression revealed that the PLR was an independent risk factor for DR (odds ratio [OR]: 1.020, 95% confidence interval [CI]: 1.010-1.029 p = 0.026). Based on the receiver operating characteristic (ROC) curve, the cutoff value of PLR as an indicator for diagnosing DR was estimated to be 129.65, with a sensitivity and specificity of 53.4% and 76.1%, respectively, and an area under the curve of 0.668 (95% CI: 0.605-0.730, p < 0.001).

CONCLUSION

Our findings suggest that PLR may be an independent risk factor for evaluating DR in type 2 diabetes patients.