Suppr超能文献

对中枢神经系统病毒感染后的儿童进行长期研究的重要性。

The importance of long-term studies in children following viral infection of the central nervous system.

作者信息

Sousa Ivanildo P, de Sequeira Patrícia C, Marcos Anne Caroline S B, Almeida Nathalia A A, Huff Hanalise V, Solomon Tom, de Paula Vanessa S

机构信息

Laboratory of Molecular Virology and Parasitology, Oswaldo Cruz Institute/Oswaldo Cruz Foundation, Av Brasil 4365, Manguinhos, Rio de Janeiro, 21045-360, Brazil.

Laboratory of Arboviruses and Hemorrhagic Viruses, Oswaldo Cruz Institute/Oswaldo Cruz Foundation, Av Brasil 4365, Manguinhos, Rio de Janeiro, 21045-360, Brazil.

出版信息

EClinicalMedicine. 2025 May 26;84:103263. doi: 10.1016/j.eclinm.2025.103263. eCollection 2025 Jun.

Abstract

Viruses are a major cause of central nervous system (CNS) infections in pediatric patients, often resulting in significant rates of morbidity and mortality. Many viruses have been implicated in neurodevelopmental disorders with long-term consequences that significantly impact families, healthcare systems, economies, and society. Unfortunately, however, long-term follow-up studies evaluating neurodevelopmental outcomes in pediatric survivors of viruses affecting the nervous system are limited. The disease burden of CNS infection is often highest in regions where resources are lowest, such as in low- and middle-income countries (LMICs). In this viewpoint, we highlight the importance of longitudinal studies in tracking the impact of CNS viral infections over time with a goal of better understanding and evaluating the efficacy of various interventions and identifying opportunities for early intervention to mitigate long-term disability.

摘要

病毒是儿科患者中枢神经系统(CNS)感染的主要原因,常常导致较高的发病率和死亡率。许多病毒与神经发育障碍有关,其长期后果会对家庭、医疗系统、经济和社会产生重大影响。然而,遗憾的是,评估影响神经系统的病毒感染儿科幸存者神经发育结局的长期随访研究有限。中枢神经系统感染的疾病负担在资源最匮乏的地区往往最高,例如在低收入和中等收入国家(LMICs)。在本文观点中,我们强调纵向研究对于追踪中枢神经系统病毒感染随时间推移所产生影响的重要性,目标是更好地理解和评估各种干预措施的效果,并确定早期干预机会以减轻长期残疾。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e206/12158479/7a9ff88d5498/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验