The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database.

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY BMC Neurology Pub Date : 2025-01-22 DOI:10.1186/s12883-025-04043-5
Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui
{"title":"The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database.","authors":"Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui","doi":"10.1186/s12883-025-04043-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Platelet count and function may be closely related to survival and prognosis of stroke and cancer. However, little is known on the impact of platelet count on the patients with a history of stroke and cancer. This study aimed to examine the association between baseline platelet level and all-cause mortality in this population using a cross-sectional analysis.</p><p><strong>Methods: </strong>Participants with a history of stroke and cancer were selected from the database of the National Health and Nutrition Examination Survey from 2007 to 2018. A maximum selected rank statistic was conducted to determine platelet cutoff with the most significant association with mortality. The association between platelet and mortality was characterized visually using restricted cubic spline (RCS). Weighted multivariable Cox regression models were performed to evaluate the association between platelet count and mortality. Time-dependent receiver operating characteristic (ROC) analysis was conducted to assess the accuracy of platelet count in predicting mortality.</p><p><strong>Results: </strong>Forty-three (43/113, 38.05%) stroke patients with cancer were alive at a median follow-up of 42 months (interquartile range, 23-74 months). The RCS analysis demonstrated a linear relationship between platelet and mortality (nonlinear, p = 0.352). Mortality in higher-platelet group (> 209 × 10<sup>9</sup>/L, n = 57) was decreased than lower-platelet group (≤ 209 × 10<sup>9</sup>/L, n = 56) (Model 1 HR 0.43, 95% CI 0.24-0.77, p = 0.005) (Model 2 HR 0.58, 95% CI 0.35-0.96, p = 0.03). Subgroup analyses showed no significant interaction between platelet and age, sex, BMI, WBC and neutrophil. The areas under time-dependent ROC curve of the 1-, 2-, 3-, 4- and 5-year survival rates were 0.54, 0.55, 0.57, 0.53, 0.59 for mortality of stroke patients with cancer.</p><p><strong>Conclusions: </strong>Lower platelet count may be an independent predictor of all-cause mortality in population with a history of stroke and cancer. This result may provide valuable insights for the long-term management in stroke patients with cancer.</p>","PeriodicalId":9170,"journal":{"name":"BMC Neurology","volume":"25 1","pages":"30"},"PeriodicalIF":2.2000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11752736/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12883-025-04043-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Platelet count and function may be closely related to survival and prognosis of stroke and cancer. However, little is known on the impact of platelet count on the patients with a history of stroke and cancer. This study aimed to examine the association between baseline platelet level and all-cause mortality in this population using a cross-sectional analysis.

Methods: Participants with a history of stroke and cancer were selected from the database of the National Health and Nutrition Examination Survey from 2007 to 2018. A maximum selected rank statistic was conducted to determine platelet cutoff with the most significant association with mortality. The association between platelet and mortality was characterized visually using restricted cubic spline (RCS). Weighted multivariable Cox regression models were performed to evaluate the association between platelet count and mortality. Time-dependent receiver operating characteristic (ROC) analysis was conducted to assess the accuracy of platelet count in predicting mortality.

Results: Forty-three (43/113, 38.05%) stroke patients with cancer were alive at a median follow-up of 42 months (interquartile range, 23-74 months). The RCS analysis demonstrated a linear relationship between platelet and mortality (nonlinear, p = 0.352). Mortality in higher-platelet group (> 209 × 109/L, n = 57) was decreased than lower-platelet group (≤ 209 × 109/L, n = 56) (Model 1 HR 0.43, 95% CI 0.24-0.77, p = 0.005) (Model 2 HR 0.58, 95% CI 0.35-0.96, p = 0.03). Subgroup analyses showed no significant interaction between platelet and age, sex, BMI, WBC and neutrophil. The areas under time-dependent ROC curve of the 1-, 2-, 3-, 4- and 5-year survival rates were 0.54, 0.55, 0.57, 0.53, 0.59 for mortality of stroke patients with cancer.

Conclusions: Lower platelet count may be an independent predictor of all-cause mortality in population with a history of stroke and cancer. This result may provide valuable insights for the long-term management in stroke patients with cancer.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基线血小板对中风和癌症患者死亡风险的影响:NHANES数据库的横断面分析
背景:血小板计数和功能可能与脑卒中和肿瘤患者的生存和预后密切相关。然而,血小板计数对有中风和癌症病史的患者的影响知之甚少。本研究旨在通过横断面分析研究基线血小板水平与该人群全因死亡率之间的关系。方法:从2007 - 2018年全国健康与营养检查调查数据库中选择有中风和癌症病史的参与者。采用最大选择秩统计来确定血小板切断与死亡率的最显著相关性。血小板与死亡率之间的关系使用限制性三次样条(RCS)进行视觉表征。采用加权多变量Cox回归模型评估血小板计数与死亡率之间的关系。采用时间依赖的受试者工作特征(ROC)分析来评估血小板计数预测死亡率的准确性。结果:43例(43/113,38.05%)脑卒中合并癌症患者中位随访时间为42个月(四分位数间距为23-74个月)。RCS分析显示血小板与死亡率呈线性关系(非线性,p = 0.352)。高血小板组死亡率(≤209 × 109/L, n = 57)低于低血小板组(≤209 × 109/L, n = 56)(模型1 HR 0.43, 95% CI 0.24 ~ 0.77, p = 0.005)(模型2 HR 0.58, 95% CI 0.35 ~ 0.96, p = 0.03)。亚组分析显示血小板与年龄、性别、BMI、白细胞和中性粒细胞之间无显著相互作用。脑卒中合并肿瘤患者1、2、3、4、5年生存率随时间变化的ROC曲线下面积分别为0.54、0.55、0.57、0.53、0.59。结论:血小板计数较低可能是卒中和癌症病史人群全因死亡率的独立预测因子。这一结果可能为卒中合并癌症患者的长期治疗提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
期刊最新文献
Subclinical peripheral nerve demyelination without overt symptoms in a family with neuronal intranuclear inclusion disease harboring biallelic repeat expansions. Efficacy and safety of Tirofiban following intravenous thrombolysis: a systematic review and meta-analysis of randomized controlled trials. Cognition and fatigue in clinically stable multiple sclerosis: EDSS and MRI metrics outperform serum biomarkers. Risk factors for trapped temporal horn formation during the treatment of central nervous system infections in neurosurgical patients. The association between ambulatory blood pressure monitoring and 90-day ischemic stroke following transient ischemic attack in hypertensive patients: a retrospective cohort study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1