Biomarkers in medicinePub Date : 2026-05-01Epub Date: 2026-05-20DOI: 10.1080/17520363.2026.2677201
Onur Altınkaya, Mustafa Özkoç, Rauf Macit, Selim Aydemir, Murat Özmen
{"title":"Prognostic value of endothelial activation and stress index in chronic coronary syndrome patients with prediabetes.","authors":"Onur Altınkaya, Mustafa Özkoç, Rauf Macit, Selim Aydemir, Murat Özmen","doi":"10.1080/17520363.2026.2677201","DOIUrl":"10.1080/17520363.2026.2677201","url":null,"abstract":"<p><strong>Aim: </strong>Chronic coronary syndrome (CCS) is important in terms of cardiovascular events and mortality risk. Pre-diabetes is associated with endothelial dysfunction and adverse cardiovascular outcomes; however, practical biomarkers for risk stratification in these patients are limited. This study aimed to investigate the prognostic value of the Endothelial Activation and Stress Index (EASIX) in patients with CCS and pre-diabetes.</p><p><strong>Materials and methods: </strong>This single-center, retrospective cohort study included 1,437 patients with CCS and prediabetes between 2020-2024. The EASIX was calculated with laboratory parameters. The primary endpoint was MACE, defined as composite of cardiovascular death, non-fatal myocardial infarction, stroke, and target vessel revascularization. The secondary endpoint was all-cause mortality. Cox regression analysis, ROC-curve analysis and Kaplan- Meier survival analyses were performed.</p><p><strong>Results: </strong>During a mean follow-up of 576 days, MACE occurred in 20.5% of patients and all-cause mortality in 5.2%. Higher EASIX was independently associated with increased risks of MACE (HR:1.110, 95% CI:1.009-1.222) and all-cause mortality (HR:1.205, 95% CI:1.044-1.390). ROC analysis demonstrated good discriminative ability for all-cause mortality prediction (AUC:0.779) and MACE (AUC:0.751).</p><p><strong>Conclusions: </strong>EASIX is independent and clinically meaningful predictor of adverse outcomes in patients with CCS and prediabetes and may serve as practical tool for residual cardiovascular risk stratification.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"445-454"},"PeriodicalIF":2.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13285550/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147980458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prognostic relevance of clinical and laboratory characteristics in cancer patients presenting to emergency medicine.","authors":"Timurhan Cebeci, Nihan Eren, Ebru Teberik Kama, Gülşah Alagöz, Farah Jamal Talha, Mehmet Oğuzcan Alada, Aysel Orujova, Batuhan Erkul, Naci Şenkal, Alpay Medetalibeyoğlu, Tufan Tükek","doi":"10.1080/17520363.2026.2678153","DOIUrl":"10.1080/17520363.2026.2678153","url":null,"abstract":"<p><strong>Objective: </strong>Cancer patients frequently present to emergency departments (EDs) with complex medical needs, requiring urgent clinical decisions. Identifying prognostic factors can help stratify patients into outcome groups and guide optimal care.Our aim was to analyze the clinical and laboratory characteristics of cancer patients in the ED and determine their relevance to prognosis across three outcome groups: Stable Discharge, Hospitalized Care, and Critical Care.</p><p><strong>Methods: </strong>This retrospective cohort study included 1,248 cancer patients admitted to a tertiary care ED between 2020 and 2022. Patients were divided into outcome groups based on their prognosis. Associations between clinical variables and outcomes were analyzed using ANOVA and Pearson Chi-Square tests.</p><p><strong>Results: </strong>Significant laboratory markers included elevated CRP and LDH levels, lower hemoglobin, and reduced oxygen saturation in Critical Care patients. Patients who underwent invasive procedures were more likely to belong to the Hospitalized Care Group or the Critical Care Group. Patients who required intravenous antibiotic therapy were more likely to fall into the Hospitalized Care Group.</p><p><strong>Conclusion: </strong>This study identifies key clinical and laboratory markers associated with cancer patient outcomes in the ED. These findings can assist clinicians in prioritizing care and improving patient management strategies.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"455-460"},"PeriodicalIF":2.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13285592/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148027058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-05-09DOI: 10.1080/17520363.2026.2671012
Zhihang Jiang, Yadan Deng, Qizhan Lin
{"title":"Comparison of SII, NLR, and SIRI for severity stratification and prognosis in sepsis-related acute kidney injury.","authors":"Zhihang Jiang, Yadan Deng, Qizhan Lin","doi":"10.1080/17520363.2026.2671012","DOIUrl":"10.1080/17520363.2026.2671012","url":null,"abstract":"<p><strong>Background: </strong>Sepsis-associated acute kidney injury (SA-AKI) is a severe complication linked to excessive systemic inflammation and immune dysregulation, with high mortality and poor prognosis.</p><p><strong>Objective: </strong>To compare the predictive efficacy of the Systemic Immune-Inflammation Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), and Systemic Inflammation Response Index (SIRI) for adverse outcomes in SA-AKI patients.</p><p><strong>Methods: </strong>This retrospective study included 265 SA-AKI patients admitted to the ICU (June 2022-June 2025). Patients were stratified by AKI severity and 28‑day outcomes. SII, NLR, and SIRI were calculated from admission bloodwork. Associations with 28‑day mortality were assessed using Spearman correlation, independent risk factors by logistic regression, and predictive performance by ROC curves.</p><p><strong>Results: </strong>SII, NLR, and SIRI increased with disease severity and were higher in non‑survivors (<i>p</i> < 0.001). All three indices correlated positively with mortality, with SII showing the strongest correlation (<i>ρ</i> = 0.607). Logistic regression confirmed them as independent risk factors. The combined model achieved the highest AUC (0.943), with 89.51% sensitivity and 84.47% specificity, outperforming any single indicator.</p><p><strong>Conclusion: </strong>SII provides superior predictive value for 28‑day mortality in SA-AKI patients compared with NLR and SIRI. Combined testing further enhances predictive performance, supporting its potential as a cost‑effective bedside tool for risk stratification.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"371-380"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13240948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147863745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-05-10DOI: 10.1080/17520363.2026.2672069
Chun-Qiu Yang, Guo-Ming Zhang
{"title":"Commentary: diagnostic utility of procalcitonin for detecting bacteremia in persons who inject drugs.","authors":"Chun-Qiu Yang, Guo-Ming Zhang","doi":"10.1080/17520363.2026.2672069","DOIUrl":"10.1080/17520363.2026.2672069","url":null,"abstract":"","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"325-326"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13240954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147866923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-04-15DOI: 10.1080/17520363.2026.2659655
Bektas Murat, Selda Murat, Fatih Aydin
{"title":"Prognostic value of the Scottish inflammatory prognostic score in ST-Segment elevation myocardial infarction.","authors":"Bektas Murat, Selda Murat, Fatih Aydin","doi":"10.1080/17520363.2026.2659655","DOIUrl":"10.1080/17520363.2026.2659655","url":null,"abstract":"<p><strong>Aims: </strong>The Scottish Inflammatory Prognostic Score (SIPS), has emerged as a simple inflammation-based biomarker; however, its prognostic value in ST-segment elevation myocardial infarction (STEMI) has not been well established. This study aimed to evaluate the prognostic utility of SIPS for predicting long-term major adverse cardiac events (MACE) in STEMI patients.</p><p><strong>Materials and methods: </strong>We included 829 STEMI patients between 2018 and 2024. SIPS was categorized as low (0 points), moderate (1 point), or high risk (2 points). The primary endpoint was time-to-first MACE, defined as a composite of all-cause mortality, non-fatal myocardial infarction, stroke, or cardiovascular hospitalization, using Cox proportional hazards models, competing risk analysis, and measures of incremental discrimination.</p><p><strong>Results: </strong>During follow-up, MACE occurred in 293 patients (35.3%), with a stepwise increase across SIPS categories (23%, 40%, and 63%; <i>p</i> < 0.001). SIPS independently predicted MACE in multivariable analysis (HR per point: 1.62, 95% CI 1.35-1.94; <i>p</i> < 0.001). Discriminative performance was moderate (AUC = 0.655). SIPS remained independently associated with MACE in hierarchical multivariable and competing risk analyses and provided incremental prognostic value beyond clinical predictors.</p><p><strong>Conclusion: </strong>SIPS is an independent predictor of long-term MACE in STEMI patients after PPCI and may serve as a simple and cost-effective tool for early risk stratification.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"275-284"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13166276/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147688159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A meta-analysis of the clinical significance of red blood cell distribution width in chronic obstructive pulmonary disease.","authors":"Yi Zeng, Zhipeng Ma, Keliang Liu, Wei Zheng, Jianli Ma, Hualing Wang, Chuantao Zhang","doi":"10.1080/17520363.2026.2659654","DOIUrl":"10.1080/17520363.2026.2659654","url":null,"abstract":"<p><strong>Background: </strong>This paper aims to elucidate the association of red blood cell distribution width (RDW) with chronic obstructive pulmonary disease (COPD) and its clinical outcomes.</p><p><strong>Methods: </strong>Systematically searched PubMed, Embase, Cochrane Library, and Web of Science for articles up to 11 October 2024, and conducted a comprehensive data integration and meta-analysis.</p><p><strong>Results: </strong>41 articles with 19,518 participants were included. RDW was higher in COPD versus non-COPD patients (SMD = 0.63, 95% CI = 0.18 ~ 1.08); in AECOPD versus stable COPD (SMD = 0.39, 95% CI = 0.21 ~ 0.57); in COPD with complications (SMD = 0.50, 95% CI = 0.32 ~ 0.68); in deceased versus surviving patients (SMD = 0.63, 95% CI = 0.38 ~ 0.89); and in those with unfavorable outcomes (SMD = 1.21, 95% CI = 0.17 ~ 2.25). Increased RDW was linked to adverse outcomes (OR =1.32, 95% CI = 1.18 ~ 1.48) and predicted mortality (AUC = 0.68, 95% CI = 0.57 ~ 0.80) and other adverse outcomes (AUC = 0.76, 95% CI = 0.67 ~ 0.85) in COPD patients.</p><p><strong>Conclusions: </strong>RDW values differed markedly between COPD and non-COPD patients and among COPD patients of different severities and clinical outcomes, and was an independent predictor of mortality and complication risks.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"311-323"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13154946/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147697931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-06-01DOI: 10.1080/17520363.2026.2671010
Aijing Huo, Xue Yang
{"title":"LCN2 and TIMP1 as senescence-associated biomarkers in sepsis-induced AKI and their relationship with immune infiltration.","authors":"Aijing Huo, Xue Yang","doi":"10.1080/17520363.2026.2671010","DOIUrl":"10.1080/17520363.2026.2671010","url":null,"abstract":"<p><strong>Background: </strong>Immune cells are key drivers of acute kidney injury (AKI) due to the complex interaction between immune cells, senescence and AKI.</p><p><strong>Material and methods: </strong>Three AKI-related datasets were sourced from the Gene Expression Omnibus (GEO) database, encompassing experimental data and gene expression arrays. TIMP1 and LCN2 were used to construct the AKI diagnostic model, and the resulting nomogram and Receiver Operating Characteristic (ROC) curves exhibited significant diagnostic efficacy. Within the framework of AKI patients, the increased protein expression of LCN2 and TIMP1 was corroborated through Enzyme-Linked Immunosorbent Assay (ELISA).</p><p><strong>Results: </strong>The precision of the risk predictive model's classification based on signature ARGs, was validated by ROC curves, with an area under the curve (AUC) of 0.9596 in the training cohort; the optimized LCN2/TIMP1 dual-gene diagnostic model showed an AUC of 0.997 in the training set. Utilizing the CIBERSORT algorithm, it was observed that sepsis-induced AKI models exhibited elevated levels of Macrophages M1, T cells follicular helper and so on, and sepsis-induced AKI models had lower levels of dendritic cells resting.</p><p><strong>Conclusions: </strong>The management of AKI emphasizes the senescence-association of LCN2 and TIMP1 genes with immune cells. As a pilot study with a small sample size, more prospective approaches could be considered to demonstrate this argument.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"339-354"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13240945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148136648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-05-29DOI: 10.1080/17520363.2026.2671005
Yiyang Guo, Yanli Deng, Yuming Jia, Shiru Cao, Hong Zhang
{"title":"A study on the correlation between longitudinal inflammatory biomarkers and postoperative prognosis in hepatocellular carcinoma.","authors":"Yiyang Guo, Yanli Deng, Yuming Jia, Shiru Cao, Hong Zhang","doi":"10.1080/17520363.2026.2671005","DOIUrl":"10.1080/17520363.2026.2671005","url":null,"abstract":"<p><strong>Aim: </strong>To evaluate the prognostic significance of serial measurements of Galectin-3, heat shock protein 90α (HSP90α), and thymidine kinase 1 (TK1), individually and in combination, for predicting recurrence, disease-free survival (DFS), and overall survival (OS) in patients with hepatocellular carcinoma (HCC).</p><p><strong>Patients and methods: </strong>This retrospective study included 122 patients who underwent radical resection for HCC and 122 healthy controls. Serum levels of Galectin-3, HSP90α, and TK1 were measured preoperatively and at 1 week, 1 month, 3 months, and 6 months postoperatively. Recurrence and survival were monitored over 2 years.</p><p><strong>Results: </strong>Preoperative levels of all three markers (Galectin-3, HSP90α, and TK1) were elevated in HCC patients compared to controls (<i>p</i> < 0.001). Marker levels declined postoperatively but rebounded at 3 and 6 months. Patients with high marker levels at 3 and 6 months had significantly shorter DFS and OS (<i>p</i> < 0.05). The combined signature showed superior predictive performance for poor prognosis, with AUCs of 0.899 and 0.954 at 3 and 6 months, respectively, outperforming any single marker.</p><p><strong>Conclusion: </strong>Longitudinal monitoring of Galectin-3, HSP90α, and TK1, particularly at 3 and 6 months post- surgery, provides significant prognostic value for HCC patients. The combined assay offers a powerful tool for identifying patients at high risk of early recurrence.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"355-370"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13240958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148052692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel autoantibody panel as potential diagnostic markers for hepatocellular carcinoma.","authors":"Xiaodan Zhang, Yin Lu, Qian Yang, Jicun Zhu, Jiaxin Zhang, Donglin Jiang, Ling Liu, Yuqi Liu, Yue Wang, Jianxiang Shi, Keyan Wang, Peng Wang, Chunhua Song, Kaijuan Wang, Hua Ye","doi":"10.1080/17520363.2026.2659658","DOIUrl":"10.1080/17520363.2026.2659658","url":null,"abstract":"<p><strong>Aims: </strong>Hepatocellular carcinoma (HCC) represents a major global health burden. Tumor-associated autoantibodies (TAAs) represent promising biomarkers for cancer detection. This study aims to evaluate the diagnostic value of autoantibody panels in HCC.</p><p><strong>Patients and methods: </strong>Candidate antigens were identified via multi-omics screening (Gene Expression Omnibus (GEO), Gene Expression Profiling Interactive Analysis (GEPIA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), Human Protein Atlas (HPA)) and validated by enzyme-linked immunosorbent assay (ELISA) in 280 HCC patients and 280 controls. Diagnostic models were constructed using eight machines learning algorithms.</p><p><strong>Results: </strong>A total of 10 TAAs were identified, with AUCs ranging from 0.610 to 0.729. Logistic regression (LR) was identified as the optimal model. The LR model predicted that the positive rate of early HCC (62.39%) was significantly higher than that of AFP (47.71%). Notably, this model demonstrated superior predictive capability for AFP-negative HCC (AUC = 0.751). Combining the LR model with AFP for diagnosis achieved a positive rate of 96.36%, significantly higher than the 64.78% positive rate obtained with AFP alone.</p><p><strong>Conclusion: </strong>This novel serum autoantibody panel serves as a valuable diagnostic biomarker. Its combination with AFP significantly reduces missed diagnoses, offering a promising strategy to optimize HCC screening.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"263-273"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13155024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarkers in medicinePub Date : 2026-04-01Epub Date: 2026-05-16DOI: 10.1080/17520363.2026.2671004
Lan Chang, Rong Zhu, Qian Liu, Yaya Jia, Yindi Wu
{"title":"Correlation between thyroid function characteristics, vitamin D levels, and brain injuries in preterm infants.","authors":"Lan Chang, Rong Zhu, Qian Liu, Yaya Jia, Yindi Wu","doi":"10.1080/17520363.2026.2671004","DOIUrl":"10.1080/17520363.2026.2671004","url":null,"abstract":"<p><strong>Background: </strong>Preterm infants: VD-thyroid interplay and impact on brain development.</p><p><strong>Methods: </strong>A retrospective cohort study design was employed, selecting 94 PI admitted to the NICU from January to August 2024 as the study subjects. Serum 25(OH)D levels and TF indicators (STSH, FT3, FT4) were measured, and brain structural abnormalities were evaluated using cranial ultrasound and MRI.</p><p><strong>Results: </strong>The STSH level in the VD sufficient group (SG) was visibly lower as against the deficient group (DG) (<i>p</i> = 0.03), and FT3 and FT4 levels in the SG were visibly higher as against the DG (0.06, 0.01), although the correlation analysis was not statistically meaningful (<i>p</i> > 0.05). In the subjects with brain structural abnormalities, thyroid dysfunction was visibly present. Perinatal brain injury was positively correlated with STSH (<i>r</i> = 0.42) and negatively correlated with FT4 (-0.45); the subjects with intracranial hemorrhage suggested the strongest correlations (STSH: 0.51, FT4: -0.52) (all <i>p <</i> 0.001).</p><p><strong>Conclusion: </strong>Thyroid dysfunction in PI is visibly associated with neurodevelopmental impairments, but there is no clear correlation between VD levels and TF. It is recommended to enhance TF monitoring for high-risk PI and optimize clinical management strategies.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"329-338"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13248483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147959767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}