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Wan Y, He QW, Chen S, Li M, Xia Y, Zhang L, Sun Z, Chen X, Wang D, Chang J, Hu B. Manifestations and Outcomes of Intracerebral Hemorrhage During the COVID-19 Pandemic in China: Multicenter, Longitudinal Cohort Study. JMIR Public Health Surveill 2023; 9:e34386. [PMID: 38090794 PMCID: PMC10720699 DOI: 10.2196/34386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 03/19/2023] [Accepted: 09/05/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has inevitably affected the distribution of medical resources, and epidemic lockdowns have had a significant impact on the nursing and treatment of patients with other acute diseases, including intracerebral hemorrhage (ICH). OBJECTIVE This study aimed to investigate how the COVID-19 pandemic affected the manifestations and outcomes of patients with ICH. METHODS Patients with acute ICH before (December 1, 2018-November 30, 2019) and during (December 1, 2019-November 30, 2020) the COVID-19 pandemic at 31 centers in China from the Chinese Cerebral Hemorrhage: Mechanism and Intervention (CHEERY) study were entered into the analysis. Demographic information and clinical manifestations and outcomes were collected and compared between the 2 groups. RESULTS From December 1, 2018, to November 30, 2020, a total of 3460 patients with ICH from the CHEERY study were enrolled and eventually analyzed. The results showed that during the COVID-19 pandemic, patients with ICH were more likely to be older (P<.001) with a history of ischemic stroke (P=.04), shorter time from onset to admission (P<.001), higher blood pressure (P<.001), higher fasting blood glucose (P=.003), larger hematoma volume (P<.001), and more common deep ICH (P=.01) and intraventricular hemorrhage (P=.02). These patients required more intensive care unit treatment (P<.001) and preferred to go to the hospital directly rather than call an ambulance (P<.001). In addition, the COVID-19 pandemic was associated with an increased risk of pulmonary infection during hospitalization (adjusted risk ratio [RRadjusted] 1.267, 95% CI 1.065-1.509), lower probability of a 3-month good outcome (RRadjusted 0.975, 95% CI 0.956-0.995), and a higher probability of in-hospital (RRadjusted 3.103, 95% CI 2.156-4.465), 1-month (RRadjusted 1.064, 95% CI 1.042-1.087), and 3-month (RRadjusted 1.069, 95% CI 1.045-1.093) mortality. CONCLUSIONS Our study indicated that the cloud of COVID-19 has adversely impacted the presentation and outcomes of ICH. Medical workers may pay more attention to patients with ICH, while the public should pay more attention to hypertension control and ICH prevention. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1900020872; https://www.chictr.org.cn/showprojEN.html?proj=33817.
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Affiliation(s)
- Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Quan Wei He
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaoli Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Man Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanpeng Xia
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhou Sun
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolu Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - David Wang
- Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States
| | - Jiang Chang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Palchuk MB, London JW, Perez-Rey D, Drebert ZJ, Winer-Jones JP, Thompson CN, Esposito J, Claerhout B. A global federated real-world data and analytics platform for research. JAMIA Open 2023; 6:ooad035. [PMID: 37193038 PMCID: PMC10182857 DOI: 10.1093/jamiaopen/ooad035] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/09/2023] [Accepted: 05/05/2023] [Indexed: 05/18/2023] Open
Abstract
Objective This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research. Materials and Methods TriNetX has created a technology platform characterized by a conservative security and governance model that facilitates collaboration and cooperation between industry participants, such as pharmaceutical companies and contract research organizations, and academic and community-based healthcare organizations (HCOs). HCOs participate on the network in return for access to a suite of analytics capabilities, large networks of de-identified data, and more sponsored trial opportunities. Industry participants provide the financial resources to support, expand, and improve the technology platform in return for access to network data, which provides increased efficiencies in clinical trial design and deployment. Results TriNetX is a growing global network, expanding from 55 HCOs and 7 countries in 2017 to over 220 HCOs and 30 countries in 2022. Over 19 000 sponsored clinical trial opportunities have been initiated through the TriNetX network. There have been over 350 peer-reviewed scientific publications based on the network's data. Conclusions The continued growth of the TriNetX network and its yield of clinical trial collaborations and published studies indicates that this academic-industry structure is a safe, proven, sustainable path for building and maintaining research-centric data networks.
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Affiliation(s)
- Matvey B Palchuk
- Corresponding Author: Matvey B. Palchuk, MD, MS, FAMIA, TriNetX, LLC, 125 Cambridge Park Dr, Suite 500, Cambridge, MA 02140, USA;
| | - Jack W London
- Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - David Perez-Rey
- Biomedical Informatics Group, Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain
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