浙大二院2024年-2026年泛血管疾病患者基线和长期随访数据集

本数据集为浙江大学医学院附属第二医院构建的泛血管疾病专项临床科研数据库，整合了心血管、脑血管、代谢疾病、心脏大血管外科、全科医学等多学科资源，系统收录了2024年至2026年间患者的基线临床信息与长期随访数据。该资源全面覆盖了从人口学特征、丰富的生活习惯方式、心理状态、疾病史到多系统评估的完整信息链，并跟踪其治疗与长期预后，能够支持泛血管疾病的危险因素识别、风险评估模型构建、不同治疗策略的效果比较以及患者依从性行为分析等多个前沿研究方向，为该领域的科研与临床管理提供了高质量的纵向真实世界数据基础。
本数据集的核心新颖性在于其“泛血管”整体视角与多模态临床信息的纵向整合，克服了以往单病种数据碎片化的局限。它不仅是构建疾病预测模型、优化治疗策略和探索系统性疾病机制的关键资源，也为推动泛血管疾病的精准预防、综合干预与全周期健康管理提供了不可多得的实证研究平台，具有重要的科研创新与临床转化价值。

This dataset is a specialized clinical research database for panvascular diseases, constructed by the Second Affiliated Hospital of Zhejiang University School of Medicine. It integrates multidisciplinary resources including cardiovascular, cerebrovascular, metabolic diseases, cardiothoracic and vascular surgery, general medicine and other fields, and systematically collects baseline clinical information and long-term follow-up data of patients from 2024 to 2026. This resource fully covers the complete information chain ranging from demographic characteristics, comprehensive lifestyle habits, mental status, medical history to multi-system assessments, and tracks their treatment and long-term prognosis. It can support multiple cutting-edge research directions, such as identification of risk factors for panvascular diseases, construction of risk assessment models, comparison of the efficacy of different treatment strategies, and analysis of patient compliance behaviors, providing a high-quality longitudinal real-world data foundation for scientific research and clinical management in this field.

The core novelty of this dataset lies in its holistic "panvascular" perspective and longitudinal integration of multimodal clinical information, which overcomes the fragmentation limitation of previous single-disease datasets. It is not only a key resource for constructing disease prediction models, optimizing treatment strategies and exploring the mechanisms of systemic diseases, but also provides a rare empirical research platform for promoting precise prevention, comprehensive intervention and full-cycle health management of panvascular diseases, holding important scientific research innovation and clinical transformation value.

搜集汇总

背景与挑战

背景概述

该数据集整合了心血管、脑血管等多学科资源，提供患者从基线到长期随访的完整临床信息链，支持泛血管疾病的风险评估、治疗策略比较等研究，具有重要的科研和临床价值。