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Moore JH, Barnett I, Boland MR, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman DS, Himes BE, Hubbard RA, Kim D, Morris JS, Mowery DL, Ritchie MD, Shen L, Urbanowicz R, Holmes JH. Ideas for how informaticians can get involved with COVID-19 research. BioData Min 2020; 13:3. [PMID: 32419848 PMCID: PMC7216865 DOI: 10.1186/s13040-020-00213-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Biomedical informatics is central to COVID-19 research efforts and for the delivery of healthcare for COVID-19 patients. Critical to this effort is the participation of informaticians who typically work on other basic science or clinical problems. The goal of this editorial is to highlight some examples of COVID-19 research areas that could benefit from informatics expertise. Each research idea summarizes the COVID-19 application area, followed by an informatics methodology, approach, or technology that could make a contribution. It is our hope that this piece will motivate and make it easy for some informaticians to adopt COVID-19 research projects.
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Affiliation(s)
- Jason H. Moore
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Ian Barnett
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Mary Regina Boland
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - George Demiris
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Graciela Gonzalez-Hernandez
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Daniel S. Herman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Blanca E. Himes
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Dokyoon Kim
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Jeffrey S. Morris
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Danielle L. Mowery
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Marylyn D. Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - Ryan Urbanowicz
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
| | - John H. Holmes
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA
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Yang R, Gui X, Zhang Y, Xiong Y. The role of essential organ-based comorbidities in the prognosis of COVID-19 infection patients. Expert Rev Respir Med 2020; 14:835-838. [PMID: 32345072 PMCID: PMC7196920 DOI: 10.1080/17476348.2020.1761791] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Objectives: To assess the role of essential organ-based comorbidities in the prognosis of COVID-19 patients. Methods: All consecutive patients diagnosed with COVID-19 admitted to the Zhongnan Hospital of Wuhan University from 11 January to 16 March 2020 were enrolled in this retrospective cohort study. Results: A total of 212 COVID-19 patients were included. COVID-19 patients with heart, liver and kidneycomorbidity, compared to patients without related comorbidities, were more likely to have cardiac injuries [9.1%(3/33) vs 2.2%(4/179), P = 0.043], liver injuries [13.0%(3/23) vs 3.2%(6/189), P = 0.027], kidney injury [54.5%(6/11) vs 2.0%(4/201), P < 0.001], and higher risk of mortality [Heart-comorbidity: 6.1%(2/33) vs 0.6%(1/179), P = 0.014; Liver-comorbidity: 8.7%(2/23) vs 0.5%(1/189), P = 0.002; Kidney-comorbidity: 27.3%(3/11) vs 1.0%(2/201), P < 0.001. Mortality was higher in patients with more severe Grade of organ injuries [Heart-injury: P = 0.044; Liver-injury: P = 0.020; Kidney-injury: P = 0.030]. Conclusion: Male, older, co-existing of heart, liver, and kidney comorbidities, especially those with severe Grade organ injuries, had a poor prognosis after SARS-CoV-2 infection.
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Affiliation(s)
- Rongrong Yang
- Department of Infectious Diseases, Zhongnan Hospital, Wuhan University , Wuhan, China
| | - Xien Gui
- Department of Infectious Diseases, Zhongnan Hospital, Wuhan University , Wuhan, China
| | - Yongxi Zhang
- Department of Infectious Diseases, Zhongnan Hospital, Wuhan University , Wuhan, China
| | - Yong Xiong
- Department of Infectious Diseases, Zhongnan Hospital, Wuhan University , Wuhan, China
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Zhang B, Dong C, Li S, Song X, Wei W, Liu L. Triglyceride to High-Density Lipoprotein Cholesterol Ratio is an Important Determinant of Cardiovascular Risk and Poor Prognosis in Coronavirus Disease-19: A Retrospective Case Series Study. Diabetes Metab Syndr Obes 2020; 13:3925-3936. [PMID: 33122929 PMCID: PMC7591232 DOI: 10.2147/dmso.s268992] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/26/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Acute myocardial injury and heart failure characterized by elevated cardiac troponin and decreased heart pump function are significant clinical features and prognostic factors of coronavirus disease-19 (COVID-19). Triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio is an indicator of insulin resistance. This study aimed to explore the association of the TG/HDL-C ratio with cardiovascular risk and prognosis in COVID-19. METHODS Ninety-eight laboratory-confirmed patients with COVID-19 admitted in a tertiary teaching hospital in Wuhan, China, were enrolled in this retrospective study. Regression models were used to investigate the association between TG/HDL-C ratio with myocardial injury, heart failure, severity, and mortality in COVID-19. RESULTS Among the 98 patients, the mean age was 63.9±1.4 years, and male sex (58, 59%) was predominant. Forty-six patients (47%) were admitted to the intensive care unit (ICU), 32 (33%) and 46 (47%) patients suffered from myocardial injury and heart failure, respectively, and 36 (37%) patients died. The TG/HDL-C ratio was increased in patients with myocardial injury, heart failure, severe illness, and fatal outcome (P<0.05 for each). Baseline TG/HDL-C ratio significantly correlated with log transformed levels of plasma high-sensitivity cardiac troponin I (r=0.251, P=0.018), N-terminal brain natriuretic propeptide (r=0.274, P=0.008), glycated hemoglobin (r=0.239, P=0.038), and interleukin-6 (r=0.218, P=0.042). Multivariate logistic regression analysis showed that an increased TG/HDL-C ratio was independently associated with the risk of myocardial injury [odds ratio (OR)=2.73; P=0.013], heart failure (OR=2.64; P=0.019), disease severity (OR=3.01; P=0.032), and fatal outcome (OR=2.97; P=0.014). CONCLUSION Increased TG/HDL-C ratio was independently associated with myocardial injury, heart failure, disease severity, and mortality in patients with COVID-19, and it may be a useful marker for early identification of patients with high risk and poor outcome.
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Affiliation(s)
- Benping Zhang
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, People’s Republic of China
| | - Chen Dong
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, People’s Republic of China
| | - Shengzhong Li
- Department of Surgery, Wuhan Jinyintan Hospital, Wuhan, Hubei430023, People’s Republic of China
| | - Xiaoqing Song
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, People’s Republic of China
| | - Wang Wei
- Department of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, People’s Republic of China
| | - Li Liu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, People’s Republic of China
- Correspondence: Li Liu Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Wuhan, Hubei430030, People’s Republic of ChinaTel +86-027-83663470Fax +86-027-83662883 Email
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Lakbar I, Luque-Paz D, Mege JL, Einav S, Leone M. COVID-19 gender susceptibility and outcomes: A systematic review. PLoS One 2020. [PMID: 33141872 DOI: 10.1371/journal.pone.0241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Epidemiological differences between men and women have been reported with regards to sepsis, influenza and severe coronavirus infections including SARS-CoV and MERS-CoV. AIM To systematically review the literature relating to men versus women on SARS-CoV-2 in order to seek differences in disease characteristics (e.g. infectivity, severity) and outcomes (e.g. mortality). METHODS We searched 3 electronic databases up or observational studies reporting differences between men and women in the SARS-CoV-2 disease characteristics stated. We identified and included 47 studies, reporting data for 21,454 patients mainly from China. RESULTS The unadjusted mortality rates of men were higher than those of women, with a mortality OR 0.51 [0.42, 0.61] (p<0.001) for women. The proportion of men presenting with severe disease and admitted to the intensive care unit (ICU) was also higher than that of women (OR 0.75 [0.60-0.93] p<0.001 and OR 0.45 [0.40-0.52] p<0.001 respectively). Adjusted analyses could not be conducted due to lack of data. CONCLUSION COVID-19 may be associated with worse outcomes in males than in females. However, until more detailed data are provided in further studies enabling adjusted analysis, this remains an unproven assumption.
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Affiliation(s)
- Ines Lakbar
- Department of Anesthesiology and Intensive Care Unit, Nord Hospital, Assistance Publique Hôpitaux Universitaire de Marseille, Aix Marseille University, Marseille, France
- MEPHI, IHU Méditerranée Infection, Aix Marseille Université, Marseille, France
- Department of Anesthesiology and Intensive Care Unit, Toulouse, France
| | - David Luque-Paz
- Infectious Diseases and Intensive Care Unit, Pontchaillou University Hospital, Rennes, France
- University of Rennes, Inserm, BRM (Bacterial Regulatory RNAs and Medicine), UMR 1230, Rennes, France
| | - Jean-Louis Mege
- MEPHI, IHU Méditerranée Infection, Aix Marseille Université, Marseille, France
| | - Sharon Einav
- Intensive Care Unit of the Shaare Zedek Medical Centre and Hebrew University Faculty of Medicine, Jerusalem, Israel
| | - Marc Leone
- Department of Anesthesiology and Intensive Care Unit, Nord Hospital, Assistance Publique Hôpitaux Universitaire de Marseille, Aix Marseille University, Marseille, France
- MEPHI, IHU Méditerranée Infection, Aix Marseille Université, Marseille, France
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