{"title":"血清尿酸水平可预测小细胞肺癌患者确诊时的无症状脑转移。","authors":"Gizem Agtas, Ali Alkan, Özgür Tanriverdi","doi":"10.1186/s43046-024-00235-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The aim of this study was to determine the relationship between serum uric acid level at diagnosis and asymptomatic brain metastasis in patients with extensive-stage small cell lung cancer.</p><p><strong>Methods: </strong>A total of 69 patients with extensive-stage small cell lung cancer without symptomatic brain metastases, whose serum uric acid level was measured at the time of diagnosis, were included in this retrospective cross-sectional study. The patients were divided into two groups as those with and without asymptomatic brain metastases. The Mann-Whitney U test was used for comparison between groups, and Spearman's correlation test was used for correlation analysis. The cut-off level of serum uric acid level was analyzed, and sensitivity, specificity, and accuracy rates were determined for brain metastasis. Independent factors affecting asymptomatic brain metastasis were determined by multivariate Cox regression analysis.</p><p><strong>Results: </strong>The median serum uric acid level of all patients was 6.9 mg/dL. Twenty-two percent of patients had asymptomatic brain metastases, and serum uric acid levels were significantly higher in these patients (P = 0.0014). The cut-off value for serum uric acid level was calculated as 6.2 mg/dL. The sensitivity, specificity, and accuracy of this value for brain metastasis were 84%, 76%, and 78%, respectively. High serum uric acid level was an independent risk factor for asymptomatic brain metastasis (OR 3.446 95% CI 1.337-5.480; P = 0.005).</p><p><strong>Conclusion: </strong>In conclusion, a serum uric acid level of 6.2 mg/dL and above at the time of diagnosis may predict asymptomatic brain metastasis in patients.</p>","PeriodicalId":17301,"journal":{"name":"Journal of the Egyptian National Cancer Institute","volume":"36 1","pages":"28"},"PeriodicalIF":2.1000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Serum uric acid level can predict asymptomatic brain metastasis at diagnosis in patients with small cell lung cancer.\",\"authors\":\"Gizem Agtas, Ali Alkan, Özgür Tanriverdi\",\"doi\":\"10.1186/s43046-024-00235-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The aim of this study was to determine the relationship between serum uric acid level at diagnosis and asymptomatic brain metastasis in patients with extensive-stage small cell lung cancer.</p><p><strong>Methods: </strong>A total of 69 patients with extensive-stage small cell lung cancer without symptomatic brain metastases, whose serum uric acid level was measured at the time of diagnosis, were included in this retrospective cross-sectional study. The patients were divided into two groups as those with and without asymptomatic brain metastases. The Mann-Whitney U test was used for comparison between groups, and Spearman's correlation test was used for correlation analysis. The cut-off level of serum uric acid level was analyzed, and sensitivity, specificity, and accuracy rates were determined for brain metastasis. Independent factors affecting asymptomatic brain metastasis were determined by multivariate Cox regression analysis.</p><p><strong>Results: </strong>The median serum uric acid level of all patients was 6.9 mg/dL. Twenty-two percent of patients had asymptomatic brain metastases, and serum uric acid levels were significantly higher in these patients (P = 0.0014). The cut-off value for serum uric acid level was calculated as 6.2 mg/dL. The sensitivity, specificity, and accuracy of this value for brain metastasis were 84%, 76%, and 78%, respectively. High serum uric acid level was an independent risk factor for asymptomatic brain metastasis (OR 3.446 95% CI 1.337-5.480; P = 0.005).</p><p><strong>Conclusion: </strong>In conclusion, a serum uric acid level of 6.2 mg/dL and above at the time of diagnosis may predict asymptomatic brain metastasis in patients.</p>\",\"PeriodicalId\":17301,\"journal\":{\"name\":\"Journal of the Egyptian National Cancer Institute\",\"volume\":\"36 1\",\"pages\":\"28\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Egyptian National Cancer Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s43046-024-00235-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Egyptian National Cancer Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s43046-024-00235-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:本研究旨在确定广泛期小细胞肺癌患者诊断时血清尿酸水平与无症状脑转移之间的关系:本研究旨在确定广泛期小细胞肺癌患者诊断时血清尿酸水平与无症状脑转移之间的关系:这项回顾性横断面研究共纳入了69例广泛期小细胞肺癌患者,这些患者在确诊时血清尿酸水平已测定,但无症状性脑转移。患者被分为两组,即有症状和无症状脑转移的两组。组间比较采用 Mann-Whitney U 检验,相关分析采用 Spearman 相关检验。分析了血清尿酸水平的临界值,并确定了脑转移的敏感性、特异性和准确率。通过多变量 Cox 回归分析确定影响无症状脑转移的独立因素:所有患者的血清尿酸水平中位数为 6.9 mg/dL。22%的患者有无症状脑转移,这些患者的血清尿酸水平明显更高(P = 0.0014)。经计算,血清尿酸水平的临界值为 6.2 mg/dL。该值对脑转移的敏感性、特异性和准确性分别为 84%、76% 和 78%。血清尿酸水平高是无症状脑转移的独立危险因素(OR 3.446 95% CI 1.337-5.480; P = 0.005):总之,诊断时血清尿酸水平达到或超过 6.2 mg/dL 可预测无症状脑转移。
Serum uric acid level can predict asymptomatic brain metastasis at diagnosis in patients with small cell lung cancer.
Background: The aim of this study was to determine the relationship between serum uric acid level at diagnosis and asymptomatic brain metastasis in patients with extensive-stage small cell lung cancer.
Methods: A total of 69 patients with extensive-stage small cell lung cancer without symptomatic brain metastases, whose serum uric acid level was measured at the time of diagnosis, were included in this retrospective cross-sectional study. The patients were divided into two groups as those with and without asymptomatic brain metastases. The Mann-Whitney U test was used for comparison between groups, and Spearman's correlation test was used for correlation analysis. The cut-off level of serum uric acid level was analyzed, and sensitivity, specificity, and accuracy rates were determined for brain metastasis. Independent factors affecting asymptomatic brain metastasis were determined by multivariate Cox regression analysis.
Results: The median serum uric acid level of all patients was 6.9 mg/dL. Twenty-two percent of patients had asymptomatic brain metastases, and serum uric acid levels were significantly higher in these patients (P = 0.0014). The cut-off value for serum uric acid level was calculated as 6.2 mg/dL. The sensitivity, specificity, and accuracy of this value for brain metastasis were 84%, 76%, and 78%, respectively. High serum uric acid level was an independent risk factor for asymptomatic brain metastasis (OR 3.446 95% CI 1.337-5.480; P = 0.005).
Conclusion: In conclusion, a serum uric acid level of 6.2 mg/dL and above at the time of diagnosis may predict asymptomatic brain metastasis in patients.
期刊介绍:
As the official publication of the National Cancer Institute, Cairo University, the Journal of the Egyptian National Cancer Institute (JENCI) is an open access peer-reviewed journal that publishes on the latest innovations in oncology and thereby, providing academics and clinicians a leading research platform. JENCI welcomes submissions pertaining to all fields of basic, applied and clinical cancer research. Main topics of interest include: local and systemic anticancer therapy (with specific interest on applied cancer research from developing countries); experimental oncology; early cancer detection; randomized trials (including negatives ones); and key emerging fields of personalized medicine, such as molecular pathology, bioinformatics, and biotechnologies.