DIVINE-datasets

DIVINE-datasets Description The DIVINE-datasets collection comprises 14 curated datasets derived from the DIVINE COVID-19 cohort study. These datasets are designed to facilitate rapid access to clean, structured clinical data for research and reproducibility purposes. All datasets are provided in CSV format and are openly accessible. Dataset Contents Laboratory measurements at admission (analytics.csv) Pre-existing conditions, functional status, and comorbidity indices at admission (comorbidities.csv) Clinical complications during hospitalization (complications.csv) Medications prior to hospital admission (concomitant_medication.csv) Baseline demographics and lifestyle factors (demographic.csv) Outcomes and end-of-follow-up metrics (end_followup.csv) ICU admissions and interventions (icu.csv) In-hospital antibiotic treatments (inhosp_antibiotics.csv) In-hospital antiviral treatments (inhosp_antivirals.csv) Other in-hospital treatments and supportive therapies (inhosp_other_treatments.csv) Severity scores at admission (scores.csv) COVID-19–related symptoms at admission (symptoms.csv) Vital signs, oxygen support, and chest X-ray findings (vital_signs.csv) COVID-19 vaccination records (vaccine.csv) Context These datasets originate from a multicenter cohort study analyzing patients hospitalized with COVID-19 across multiple waves of the pandemic in a metropolitan area. The data enable research on clinical characteristics, treatments, and outcomes, including analyses stratified by care limitations. File Format Format: CSV Structure: Tabular, one dataset per file Encoding: UTF-8 Usage Notes Each dataset is structured for immediate analytical use. Variables are harmonized across datasets where applicable. Users are encouraged to consult the associated publication for methodological details and variable definitions. Citation If you use these data, please cite: Pallarès N., Tebé C., Abelenda-Alonso G., Rombauts A., Oriol I., Simonetti A. F., Rodríguez-Molinero A., Izquierdo E., Díaz-Brito V., Molist G., Gómez Melis G., Carratalà J., Videla S., & MetroSud and DIVINE study groups (2023).Characteristics and Outcomes by Ceiling of Care of Subjects Hospitalized with COVID-19 During Four Waves of the Pandemic in a Metropolitan Area: A Multicenter Cohort Study.Infectious Diseases and Therapy, 12(1), 273–289.https://doi.org/10.1007/s40121-022-00705-w Contact For questions, corrections, or data-use inquiries:[e-mail] Keywords COVID-19, clinical data, cohort study, hospitalization, ICU, comorbidities, outcomes, epidemiologyDIVINE数据集（DIVINE-datasets） ### 数据集说明 本数据集合集包含14份经过精心甄选整理的数据集，均源自DIVINE新冠肺炎队列研究，旨在为科研工作与可重复研究提供便捷获取的、经过清洗与结构化处理的临床数据。所有数据集均以CSV格式存储，且可公开获取。 ### 数据集详情 1. 入院时实验室检测指标（analytics.csv） 2. 入院时基础疾病、功能状态与合并症指数（comorbidities.csv） 3. 住院期间临床并发症（complications.csv） 4. 入院前用药情况（concomitant_medication.csv） 5. 基线人口学特征与生活方式因素（demographic.csv） 6. 结局与随访终止指标（end_followup.csv） 7. 重症监护病房（Intensive Care Unit, ICU）收治与干预措施（icu.csv） 8. 住院期间抗菌药物治疗（inhosp_antibiotics.csv） 9. 住院期间抗病毒药物治疗（inhosp_antivirals.csv） 10. 其他住院治疗与支持疗法（inhosp_other_treatments.csv） 11. 入院时病情严重程度评分（scores.csv） 12. 入院时新冠肺炎相关症状（symptoms.csv） 13. 生命体征、氧疗支持与胸部X线影像结果（vital_signs.csv） 14. 新冠肺炎疫苗接种记录（vaccine.csv） ### 研究背景 本数据集源自一项多中心队列研究，该研究针对某大都市地区多轮疫情期间收治的新冠肺炎住院患者展开系统性分析。相关数据可用于探索临床特征、治疗方案与预后结局，包括按医疗照护限制分层开展的细分研究。 ### 文件格式 - 存储格式：CSV - 数据结构：表格型数据，单数据集单文件存储 - 编码格式：UTF-8 ### 使用指南 1. 各数据集均已完成优化处理，可直接用于分析工作 2. 适用场景下，各数据集间的变量已完成统一标准化处理 3. 建议使用者参考配套发表文献，以获取完整的方法学细节与变量定义说明 ### 引用要求 若使用本数据集，请引用以下文献： Pallarès N., Tebé C., Abelenda-Alonso G., Rombauts A., Oriol I., Simonetti A. F., Rodríguez-Molinero A., Izquierdo E., Díaz-Brito V., Molist G., Gómez Melis G., Carratalà J., Videla S. 及MetroSud与DIVINE研究团队（2023）. 大都市地区四轮疫情期间新冠肺炎住院患者按医疗照护上限分层的特征与结局：一项多中心队列研究. 《传染病与治疗（Infectious Diseases and Therapy）》, 12(1), 273–289. https://doi.org/10.1007/s40121-022-00705-w ### 联系方式 如有疑问、更正或数据使用相关咨询，请联系：[e-mail] ### 关键词 新冠肺炎、临床数据、队列研究、住院治疗、重症监护病房、合并症、预后结局、流行病学