{"title":"CRP与INR联合检测颅内高压并发脑静脉血栓的预测价值。","authors":"Jiahui Yan, Manli Lu, Zhichao Huang, Yingying Xu, Yongjun Cao, Jianqiang Ni, Xia Zhang","doi":"10.1002/iid3.70265","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Intracranial hypertension (IH) is a frequently observed clinical manifestation of cerebral venous thrombosis (CVT), which reflects the severity of the disease. The gold standard of intracranial pressure (ICP) is through invasive lumbar puncture.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>We aimed to develop a noninvasive model combining biomarkers and clinical features to predict IH in CVT patients, facilitating early risk stratification.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The patients with CVT were consecutively enrolled in the Second Affiliated Hospital of Soochow University and the First Affiliated Hospital of Soochow University between January 2011 and June 2024, which were divided into two groups: CVT-IH group and CVT + IH group based on ICP levels. Additionally, participants were further categorized into four groups according to the cut-off of C-reactive protein (CRP) and international normalized ratio (INR) by the receiver operating characteristic (ROC) curves. Logistic regression models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of IH across the four subgroups.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>157 individuals were finally included, 61 of whom had IH. Participants with CRP > 5.5 g/L or INR < 0.99 were more likely to experience IH. Those with high CRP and low INR conferred 9.778 times higher risk of IH compared with that of those with low CRP and high INR. Simultaneously adding CRP and INR to the basic model with established risk factors significantly improved risk discrimination and reclassification for IH of CVT patients.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Combination of CRP and INR better predicted the occurrence of IH for CVT patients, which might provide a noninvasive way of assessing ICP of CVT patients.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":"13 10","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521872/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive Value of Combined CRP and INR for Intracranial Hypertension in Cerebral Venous Thrombosis\",\"authors\":\"Jiahui Yan, Manli Lu, Zhichao Huang, Yingying Xu, Yongjun Cao, Jianqiang Ni, Xia Zhang\",\"doi\":\"10.1002/iid3.70265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Intracranial hypertension (IH) is a frequently observed clinical manifestation of cerebral venous thrombosis (CVT), which reflects the severity of the disease. The gold standard of intracranial pressure (ICP) is through invasive lumbar puncture.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>We aimed to develop a noninvasive model combining biomarkers and clinical features to predict IH in CVT patients, facilitating early risk stratification.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The patients with CVT were consecutively enrolled in the Second Affiliated Hospital of Soochow University and the First Affiliated Hospital of Soochow University between January 2011 and June 2024, which were divided into two groups: CVT-IH group and CVT + IH group based on ICP levels. Additionally, participants were further categorized into four groups according to the cut-off of C-reactive protein (CRP) and international normalized ratio (INR) by the receiver operating characteristic (ROC) curves. Logistic regression models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of IH across the four subgroups.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>157 individuals were finally included, 61 of whom had IH. Participants with CRP > 5.5 g/L or INR < 0.99 were more likely to experience IH. Those with high CRP and low INR conferred 9.778 times higher risk of IH compared with that of those with low CRP and high INR. Simultaneously adding CRP and INR to the basic model with established risk factors significantly improved risk discrimination and reclassification for IH of CVT patients.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Combination of CRP and INR better predicted the occurrence of IH for CVT patients, which might provide a noninvasive way of assessing ICP of CVT patients.</p>\\n </section>\\n </div>\",\"PeriodicalId\":13289,\"journal\":{\"name\":\"Immunity, Inflammation and Disease\",\"volume\":\"13 10\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521872/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Immunity, Inflammation and Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70265\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunity, Inflammation and Disease","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70265","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Predictive Value of Combined CRP and INR for Intracranial Hypertension in Cerebral Venous Thrombosis
Background
Intracranial hypertension (IH) is a frequently observed clinical manifestation of cerebral venous thrombosis (CVT), which reflects the severity of the disease. The gold standard of intracranial pressure (ICP) is through invasive lumbar puncture.
Objectives
We aimed to develop a noninvasive model combining biomarkers and clinical features to predict IH in CVT patients, facilitating early risk stratification.
Methods
The patients with CVT were consecutively enrolled in the Second Affiliated Hospital of Soochow University and the First Affiliated Hospital of Soochow University between January 2011 and June 2024, which were divided into two groups: CVT-IH group and CVT + IH group based on ICP levels. Additionally, participants were further categorized into four groups according to the cut-off of C-reactive protein (CRP) and international normalized ratio (INR) by the receiver operating characteristic (ROC) curves. Logistic regression models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of IH across the four subgroups.
Results
157 individuals were finally included, 61 of whom had IH. Participants with CRP > 5.5 g/L or INR < 0.99 were more likely to experience IH. Those with high CRP and low INR conferred 9.778 times higher risk of IH compared with that of those with low CRP and high INR. Simultaneously adding CRP and INR to the basic model with established risk factors significantly improved risk discrimination and reclassification for IH of CVT patients.
Conclusions
Combination of CRP and INR better predicted the occurrence of IH for CVT patients, which might provide a noninvasive way of assessing ICP of CVT patients.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology