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-datasets 数据集 ## 数据集说明 本数据集集合（DIVINE-datasets）包含14份经过精心整理的数据集，均源自DIVINE新冠队列研究，旨在为科研与可重复性研究提供便捷获取的清洗后结构化临床数据。所有数据集均以CSV格式提供，且可公开访问。 ## 数据集内容 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. 入院前伴随用药情况（concomitant_medication.csv） 5. 基线人口学特征与生活方式因素（demographic.csv） 6. 结局与随访终止评估指标（end_followup.csv） 7. 重症监护病房（Intensive Care Unit, ICU）收治与干预措施（icu.csv） 8. 住院期间抗生素治疗（inhosp_antibiotics.csv） 9. 住院期间抗病毒治疗（inhosp_antivirals.csv） 10. 其他住院治疗与支持疗法（inhosp_other_treatments.csv） 11. 入院时严重程度评分（scores.csv） 12. 入院时新冠病毒病（COVID-19）相关症状（symptoms.csv） 13. 生命体征、氧疗与胸部X线影像结果（vital_signs.csv） 14. 新冠病毒病（COVID-19）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浪潮中住院的新冠病毒病（COVID-19）患者展开分析。上述数据可用于开展临床特征、治疗方案与结局相关研究，包括按医疗照护限制分层进行的分析。 ## 文件格式 格式：CSV 结构：表格型数据，每份数据集对应一个独立文件 编码：UTF-8 ## 使用须知 1. 所有数据集均设计为可直接用于分析工作 2. 各数据集间的变量在适用场景下已完成统一标准化处理 3. 建议用户查阅相关发表文献以获取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浪潮中住院新冠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、更正或数据使用咨询，请联系：[e-mail] ## 关键词 新冠病毒病（COVID-19）、临床数据、队列研究、住院治疗、重症监护病房（Intensive Care Unit, ICU）、合并症、结局、流行病学