European Journal of Medical Research最新文献

{"title":"CBCT analysis of mandibular position and bilateral symmetry in adult female patients with a deep overbite before and after flat bite plate treatment: a retrospective study.","authors":"Huiqi Pang, Xiaoxia Che","doi":"10.1186/s40001-024-02130-w","DOIUrl":"10.1186/s40001-024-02130-w","url":null,"abstract":"<p><strong>Aim: </strong>To determine whether three-dimensional measurements can assess symmetry and mandibular position with greater accuracy than traditional two-dimensional measurements.</p><p><strong>Methods: </strong>Mimics 19 software was used for three-dimensional measurements of 20 adult female patients' cone-beam computed tomography with deep overbite before and after flat bite plate treatment. Differences in mandible position and bilateral symmetry were assessed using the paired t test.</p><p><strong>Results: </strong>Three-dimensional measurements showed that the condylar distance in the pogonion-Frankfort horizontal, pogonion-coronal, right and left gonion-coronal planes was significantly higher after flat bite plate treatment. However, flat bite treatment did not affect the distance between the vertex of the condyles and the gonion of each measurement reference plane. After flat bite plate treatment, the mandibles of adult female patients had rotated backward and downward, with the condyle as the centre; the chin had been backward. Bilateral symmetry remained unchanged.</p><p><strong>Conclusions: </strong>Flat bite plate treatment in adult female patients resulted in a downward and downward rotation of the mandible, with the condyle as the centre, chin backward, and no significant change in bilateral symmetry.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568524/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142644217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of the cholesterol-dependent nutritional prognostic index in patients receiving adjuvant chemotherapy after radical esophageal cancer treatment.","authors":"Yuxia Long, Ruihua Shi","doi":"10.1186/s40001-024-02136-4","DOIUrl":"10.1186/s40001-024-02136-4","url":null,"abstract":"<p><strong>Background: </strong>Esophageal cancer is the 6th most common cancer in terms of incidence and the 4th most common cause of mortality in China. Given the limited survival outcomes observed in patients with locally advanced disease managed exclusively with surgical intervention, postoperative treatment is critically important. This study sought to assess the prognostic value of total cholesterol (TC) levels and the prognostic nutritional index (PNI) in patients undergoing postoperative chemotherapy for esophageal cancer.</p><p><strong>Methods: </strong>A total of 101 patients who underwent postoesophagectomy chemotherapy were included in this retrospective analysis. PNI values for prechemotherapy were calculated for each patient [PNI = albumin + 5 × lymphocyte count] and TC. The optimal cutoff values for these indices were calculated from the receiver operating characteristic (ROC) curve. Patients were stratified into three groups on the basis of their PNI and TC levels. A novel nutritional prognostic index, termed the cholesterol-dependent nutritional prognostic index (CPNI), was developed on the basis of the PNI and TC. Univariate and multivariate Cox analyses were employed to determine the associations between each indicator and clinical outcomes.</p><p><strong>Results: </strong>The prechemotherapy PNI, TC level, and TNM stage became independent risk factors for OS (p < 0.05). Patients in the high PNI-high TC group had significantly improved DFS and OS compared with those in the low PNI-low TC group (p < 0.001) and had a lower early recurrence rate (P = 0.008). In contrast, patients with a high CPNI had a higher mortality rate.</p><p><strong>Conclusion: </strong>The prechemotherapy PNI combined with TC is an accurate and useful predictor of patient prognosis.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142644219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Expression of Concern: Therapeutic potential of mesenchymal stem/stromal cells (MSCs)-based cell therapy for inflammatory bowel diseases (IBD) therapy.","authors":"Mohamed J Saadh, Maria V Mikhailova, Soheil Rasoolzadegan, Mojgan Falaki, Roozbeh Akhavanfar, José Luis Arias Gonzáles, Amir Rigi, Bahman Abedi Kiasari","doi":"10.1186/s40001-024-02140-8","DOIUrl":"10.1186/s40001-024-02140-8","url":null,"abstract":"","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566420/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142644218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A predictive and prognostic model for metastasis risk and prognostic factors in gastrointestinal signet ring cell carcinoma.","authors":"Jingrui Yan, Yulan Liu, Tong Liu, Qiang Zhu","doi":"10.1186/s40001-024-02135-5","DOIUrl":"10.1186/s40001-024-02135-5","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to predict metastasis risk and identify prognostic factors of gastrointestinal signet ring cell carcinoma (SRCC) using data from the SEER database, the largest cancer dataset in North America.</p><p><strong>Methods: </strong>Data were obtained from the SEER database, covering 17 cancer registries from 2004 to 2020. Demographic and clinical data included sex, age, race, tumor location, size, pathological grade, stage, overall survival time, and treatment modalities. Statistical analyses were conducted using SPSS and R software. Propensity Score Matching (PSM) ensured comparable baseline characteristics between gastric cancer (GC) and colorectal cancer (CRC) groups. LASSO regression analysis identified predictors of metastasis, leading to the construction of predictive models using the lrm function in R. Nomograms were visualized with the \"rms\" package and assessed via ROC curves, calibration curves, and decision curve analysis (DCA). Cox regression analyses identified prognostic indicators for overall survival (OS), and Kaplan-Meier curves compared OS between high-risk and low-risk groups.</p><p><strong>Results: </strong>From 2004 to 2020, 7680 SRCC patients were identified, including 4980 GC and 2700 CRC patients. CRC patients were older and had larger tumors, higher staging, and worse differentiation. Nomograms demonstrated good discriminative ability, with AUCs of 0.704 and 0.694 for GC, and 0.694 and 0.701 for CRC in training and validation cohorts, respectively. The DCA curve indicates that this predictive model has a high gain in predicting metastasis and OS.</p><p><strong>Conclusions: </strong>The nomograms effectively predicted metastasis risk and OS in metastatic SRCC patients, offering clinical utility in stratifying patients and guiding treatment decisions, thereby enhancing personalized treatment approaches.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction.","authors":"Shantanab Das, Saikat Karuri, Joyeeta Chakraborty, Baidehi Basu, Aditi Chandra, S Aravindan, Anirvan Chakraborty, Debashis Paul, Jay Gopal Ray, Matt Lechner, Stephan Beck, Andrew E Teschendorff, Raghunath Chatterjee","doi":"10.1186/s40001-024-02145-3","DOIUrl":"10.1186/s40001-024-02145-3","url":null,"abstract":"","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting stroke severity of patients using interpretable machine learning algorithms.","authors":"Amir Sorayaie Azar, Tahereh Samimi, Ghanbar Tavassoli, Amin Naemi, Bahlol Rahimi, Zahra Hadianfard, Uffe Kock Wiil, Surena Nazarbaghi, Jamshid Bagherzadeh Mohasefi, Hadi Lotfnezhad Afshar","doi":"10.1186/s40001-024-02147-1","DOIUrl":"10.1186/s40001-024-02147-1","url":null,"abstract":"<p><strong>Background: </strong>Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke severity is crucial for predicting clinical outcomes, with standard assessment tools being the Rapid Arterial Occlusion Evaluation (RACE) and the National Institutes of Health Stroke Scale (NIHSS). This study aims to utilize Machine Learning (ML) algorithms to predict stroke severity using these two distinct scales.</p><p><strong>Methods: </strong>We conducted this study using two datasets collected from hospitals in Urmia, Iran, corresponding to stroke severity assessments based on RACE and NIHSS. Seven ML algorithms were applied, including K-Nearest Neighbor (KNN), Decision Tree (DT), Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Artificial Neural Network (ANN). Hyperparameter tuning was performed using grid search to optimize model performance, and SHapley Additive Explanations (SHAP) were used to interpret the contribution of individual features.</p><p><strong>Results: </strong>Among the models, the RF achieved the highest performance, with accuracies of 92.68% for the RACE dataset and 91.19% for the NIHSS dataset. The Area Under the Curve (AUC) was 92.02% and 97.86% for the RACE and NIHSS datasets, respectively. The SHAP analysis identified triglyceride levels, length of hospital stay, and age as critical predictors of stroke severity.</p><p><strong>Conclusions: </strong>This study is the first to apply ML models to the RACE and NIHSS scales for predicting stroke severity. The use of SHAP enhances the interpretability of the models, increasing clinicians' trust in these ML algorithms. The best-performing ML model can be a valuable tool for assisting medical professionals in predicting stroke severity in clinical settings.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562860/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acute hyperglycemia exacerbates neuroinflammation and cognitive impairment in sepsis-associated encephalopathy by mediating the ChREBP/HIF-1α pathway.","authors":"Peng Yao, Ling Wu, Hao Yao, Wei Shen, Ping Hu","doi":"10.1186/s40001-024-02129-3","DOIUrl":"10.1186/s40001-024-02129-3","url":null,"abstract":"<p><strong>Objectives: </strong>Delirium is a prominent symptom of sepsis-associated encephalopathy (SAE) and is highly prevalent in septic patients hospitalized in the intensive care unit, being closely connected with raised mortality rates. Acute hyperglycemia (AH) has been recognized as a separate risk factor for delirium and a worse prognosis in critically sick patients. Nevertheless, the exact contribution of AH to the advancement of SAE is still unknown.</p><p><strong>Methods: </strong>This research retrospectively evaluated the connection between blood glucose levels (BGLs) and the incidence of delirium and death rates in septic patients in the ICU of a tertiary comprehensive hospital. In addition, a septic rat model was induced through cecal ligation and puncture (CLP), after which continuous glucose infusion was promptly initiated via a central venous catheter post-surgery to evaluate the potential implications of AH on SAE. Next, septic rats were assigned to four groups based on target BGLs: high glucose group (HG, ≥ 300 mg/dL), moderate glucose group (MG, 200-300 mg/dL), normal glucose group (NG, < 200 mg/dL), and a high glucose insulin-treated group (HI, 200-300 mg/dL) receiving recombinant human insulin treatment (0.1 IU/kg/min). The sham group (SG) received an equivalent volume of saline infusion and denoted the NG group. The effects of AH on neuroinflammation and cognitive function in septic rats were evaluated using behavioral tests, histopathological examination, TUNEL staining, ELISA, and Western blot. The effects of glucose levels on microglial activation and glucose metabolism following lipopolysaccharide (LPS, 1 μg/mL) exposure were assessed using CCK8 assay, qRT-PCR, Western blot, and ELISA.</p><p><strong>Results: </strong>Our findings revealed that AH during sepsis was a separate risk factor for delirium and assisted in predicting delirium occurrence. AH raised the levels of systemic and central inflammatory cytokines in septic rats, promoting neuronal apoptosis, blood-brain barrier disruption, and cognitive impairment. In addition, both in vivo and in vitro, an elevated glucose challenge increased the ChREBP, HIF-1α, glycolytic enzymes, and inflammatory cytokines expressions in microglia after exposure to CLP or LPS.</p><p><strong>Conclusions: </strong>These results collectively suggest that hyperglycemia can exacerbate neuroinflammation and delirium by enhancing microglial glycolysis under septic conditions, potentially mediated by upregulation of the ChREBP/HIF-1α signaling pathway.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of CISD1 reduction in macrophages in promoting COPD development through M1 polarization and mitochondrial dysfunction.","authors":"Jiameng Gao, Meiyuan Dong, Weibin Tian, Junyi Xia, Yuhao Qian, Zhilong Jiang, Zhihong Chen, Yao Shen","doi":"10.1186/s40001-024-02146-2","DOIUrl":"10.1186/s40001-024-02146-2","url":null,"abstract":"<p><strong>Background: </strong>The mitochondrial dysfunction and oxidative stress imbalance caused by macrophage polarization play a role in the progression of COPD, with CDGSH iron-sulfur domain-containing protein 1 (CISD1) playing a key role. This study revealed the role and mechanism of CISD1 in smoke-induced macrophages.</p><p><strong>Methods: </strong>Using a pure cigarette smoke exposure-induced COPD mouse model, stimulation of Raw264.7 macrophages with cigarette smoke extract mimics the COPD environment. Knocking down CISD1 expression in macrophages and combining it with high-throughput sequencing to obtain subsequent differentially expressed genes and pathways. Macrophage polarization tendency under different treatments was determined using flow cytometry. Meanwhile, Mitosox, JC-1, DCFH-DA fluorescence intensity was measured to detect mitochondrial function and cellular oxidative stress levels. Western Blot technique was employed to validate autophagy (mitochondrial autophagy) pathway-related proteins. In addition, Elisa technique was used to measure inflammatory factors (IL-6, TNF-a) in the cell supernatant after co-culturing macrophages (Raw264.7) with epithelial cells (MLE12).</p><p><strong>Results: </strong>CISD1 is underexpressed in peripheral blood monocytes of COPD patients. Under in vitro conditions, we verified that cigarette smoke (smoke extract) indeed inhibits CISD1 expression in macrophages. Subsequently, we found that macrophages with knocked-down CISD1 tend to polarize towards M1 phenotype, and exhibit signs of mitochondrial dysfunction and oxidative stress imbalance. In addition, we observed significant activation of the autophagy pathway in CISD1-inhibited macrophages, with upregulation of LC3A/B and downregulation of p62 protein, as well as increased expression of mitochondrial autophagy-related proteins (PINK1, PARKN). Furthermore, co-culturing CISD1-knockdown macrophages (Raw264.7) with epithelial cells (MLE12) resulted in upregulation of inflammatory factors in the supernatant.</p><p><strong>Conclusions: </strong>Smoke-induced reduction of CISD1 in macrophages promotes M1 polarization and mitochondrial dysfunction by activating the autophagy pathway, thereby promoting the occurrence and development of COPD.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559132/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is associated with severe renal tubular atrophy/interstitial fibrosis in IgA nephropathy.","authors":"Xiaoli Liang, Xue Jiang","doi":"10.1186/s40001-024-02148-0","DOIUrl":"10.1186/s40001-024-02148-0","url":null,"abstract":"<p><strong>Objectives: </strong>This study was performed to investigate the relationship between hemoglobin, albumin, lymphocyte and platelet (HALP) score and Oxford classification severe tubular atrophy/interstitial fibrosis (T2) in IgA nephropathy (IgAN).</p><p><strong>Methods: </strong>The clinical data and pathological findings of patients with IgA nephropathy diagnosed through renal biopsy at Hangzhou Hospital of Traditional Chinese Medicine between June 1, 2019 and May 31, 2022 were retrospectively collected and analyzed. The HALP score was calculated as hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L)/ platelets (/L). According to the quartile of HALP scores in the study population, the subjects were divided into four groups: Quartile 1 (< 30.72), Quartile 2 (30.72-39.97), Quartile 3 (39.97-53.25) and Quartile 4(> 53.25). According to the extent of tubular atrophy/interstitial fibrosis, patients were categorized into mild to moderate injury (T0 + T1, ≤ 50%) and severe injury (T2, > 50%). The relationship between HALP score and severe tubular atrophy/interstitial fibrosis was investigated using Spearman's rank correlation coefficient, logistic regression analysis, restricted cubic splines (RCS), and receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>A total of 895 patients diagnosed with IgAN were included in this study, with an average age of 40.97 ± 12.261 years. Among them, 384 (42.9%) were male and 61 (6.8%) exhibited severe tubular atrophy/interstitial fibrosis. Multifactorial logistic regression analysis revealed that HALP independently influenced T2 (OR = 0.952, 95% CI 0.923-0.982, P = 0.002). Compared to Quartile 1, patients in Quartile 4 exhibited a significantly reduced risk of T2 (OR = 0.205, 95% CI 0.058-0.722, P = 0.014). Restricted cubic splines analysis revealed a linear inverse association between HALP and T2 risk (nonlinear P = 0.896). Furthermore, the receiver operating characteristic curve demonstrated that HALP possessed predictive value for T2 (AUC = 0.693, Jorden index = 0.324), and the cutoff value of HALP score is 36.54.</p><p><strong>Conclusions: </strong>The risk of severe renal tubular atrophy/interstitial fibrosis is higher in IgAN patients with low HALP. HALP greater than 36.54 May reduce the risk of severe tubular atrophy/interstitial fibrosis.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558843/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammatory index is a promising biomarker for maintenance hemodialysis patients with cardiovascular disease.","authors":"Xi-Xi Han, Hui-Ying Zhang, Jing-Wen Kong, Yu-Xin Liu, Ke-Ren Zhang, Wen-Ying Ren","doi":"10.1186/s40001-024-02117-7","DOIUrl":"10.1186/s40001-024-02117-7","url":null,"abstract":"<p><strong>Background and objectives: </strong>Maintenance hemodialysis (MHD) patients are at a higher risk of cardiovascular disease (CVD), a common complication and leading cause of death. Persistent micro-inflammation is a unique feature of MHD. Given the established role of inflammation in the pathogenesis of atherosclerosis, this study aims to explore whether novel inflammatory markers (inflammation index) can serve as independent risk factors for CVD in MHD patients.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted on patients from three dialysis centers, categorized into a CVD and non-CVD group based on medical history, laboratory tests, and physical examination. Fasting blood samples were collected from all participants for indicator testing.</p><p><strong>Results: </strong>The analysis of 209 patients revealed that 104 had concurrent CVD. Patients in the CVD group were significantly older and exhibited higher anxiety and depression scores. Forward stepwise multivariate logistic regression results identified the inflammation index neutrophil-to-lymphocyte ratio (NLR) (OR = 1.27, 95% CI 1.082-1.491, P < 0.05) and systemic immune-inflammation index (SII) (OR = 1.001, 95% CI 1.0001-1.002, P < 0.05) as independent risk factors for CVD in MHD patients. Receiver operating characteristic (ROC) curve analysis demonstrated that SII, platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and NLR all possess predictive diagnostic values for CVD events in this patient population.</p><p><strong>Conclusions: </strong>Hemodialysis centers can utilize simple and cost-effective inflammatory markers to proactively identify patients at risk of CVD. Future research into how inflammation contributes to CVD in MHD is required.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559046/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}