[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-436319-105":59,"doc-detail-436319-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","predictive-biosignatures-for-hospitalization-inpatients-with-virologically-confirmed-covid-19","Predictive biosignatures for hospitalization inpatients with virologically confirmed COVID-19","","Coronavirus disease 2019 (COVID-19) shows substantial variability in severity. Viral and host factors affect both acute and chronic disease, with chronic COVID-19 often called long COVID. SARS-CoV-2 infection can be diagnosed via real-time RT-PCR from nasal swabs, while pulse oximetry, chest X-ray, and CBC support clinical assessment. This study develops CBC-based biosignatures to identify patients likely to develop severe outcomes requiring hospitalization versus those safe for lower-intensity monitoring.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/predictive-biosignatures-for-hospitalization-inpatients-with-virologically-confirmed-covid-19/436319/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/predictive-biosignatures-for-hospitalization-inpatients-with-virologically-confirmed-covid-19/436319.png","ImageObject",300,407,{"name":92,"@type":93},"Ophelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the main goal of the study?","Question",{"text":112,"@type":113},"To develop biosignatures that distinguish patients likely to develop severe COVID-19 requiring hospitalization from those who can be monitored in less intensive settings.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were patients grouped in the study?",{"text":117,"@type":113},"A retrospective cohort of 7,897 adults with virologically confirmed SARS-CoV-2 was assembled; 1,867 had genome-wide genotyping, and 6,030 had no genomic data for model validation and training.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the biosignature model predict?",{"text":121,"@type":113},"It predicted subsequent hospitalization events using a combination of CBC measurements, enabling binary risk classification based on very high risk versus other patients.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},436319,1790740129,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":34,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","J Chin MedAssoc  \nOriginal article  \nPredictive biosignatures for hospitalization inpatients with virologically confirmed COVID-19  \nKung-Hao Lianga,b,c,d,*, Yu-Chun Chene,f,g, Chun-Yi Hsua,f, Zih-Kai Kaof,h, Ping-Hsing Tsaia,f, Hsin-Yi Huangf,h, Yuan-Chia Chuf,h,i, Hsiang-Ling Hoj,k, Yi-Chu Liaol,m,n, Yi-Chung Leel,m,n, Chi-Cheng Huango,p,q,  \nTzu-Chun Weir,s,t, Yi-Jia Liaol, Yung-Hsiu Luu, Chen-Tsung Kuoh, Shih-Hwa Chioua,v,w  \naDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; bBiosafety Level 3 Laboratory, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; cCollege of Medicine, Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; dSchool of Pharmaceutical Sciences, Institute of Food Safety and Health Risk Assessment, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; eDepartment of Family Medicine, Taipei Veterans General Hospital, Yuli Branch, Hualien, Taiwan, ROC; fDepartment of Medical Research, Big Data Center, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; gSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; hDepartment of Information Management, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; iDepartment of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan, ROC; jDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; kDepartment of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; lDepartments of Neurology, Taipei Veterans General Hospital, Taiwan, ROC; mDepartment of Neurology, School of Medicine, National Yang Ming Chao Tung University, Taipei, Taiwan, ROC; nCollege of Medicine, Brain Research Center, National Yang Ming Chao Tung University School of Medicine, Taipei, Taiwan, ROC; oDepartment of Surgery, Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; pDivision of Breast Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; qCollege of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan, ROC; rDepartment of Urology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; sDepartment of Urology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; tCollege of Medicine, Shu-Tien Urological Institute, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; uDepartment of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; vInstitute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; wDepartment of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC  \nAbstract  \nBackground: Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) virus, presents with varying severity among individuals. Both viral and host factors can influence the severity of acute and chronic COVID-19, with chronic COVID-19 commonly referred to as long COVID. SARS-CoV-2 infection can be properly diagnosed by performing real-time reverse transcription polymerase chain reaction analysis of nasal swab samples. Pulse oximetry, chest X-ray, and complete blood count (CBC) analysis can be used to assess the condition of the patient to ensure that the appropriate medical care is delivered. This study aimed to develop biosignatures that can be used to distinguish between patients who are likely to develop severe disease and require hospitalization from patients who can be safely monitored in less intensive settings. Methods: A retrospective investigation was conducted on 7897 adult patients with virologically confirmed SARS-CoV-2 infection between January 26, 2020, and November 30, 2023; all patients underwent comprehensive CBC testing at T","cbCaifQ7f6mkphiS","https://ap.wps.com/l/cbCaifQ7f6mkphiS","pdf",1273209,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusion","[{\"question\":\"What was the main goal of the study?\",\"answer\":\"To develop biosignatures that distinguish patients likely to develop severe COVID-19 requiring hospitalization from those who can be monitored in less intensive settings.\"},{\"question\":\"How were patients grouped in the study?\",\"answer\":\"A retrospective cohort of 7,897 adults with virologically confirmed SARS-CoV-2 was assembled; 1,867 had genome-wide genotyping, and 6,030 had no genomic data for model validation and training.\"},{\"question\":\"What did the biosignature model predict?\",\"answer\":\"It predicted subsequent hospitalization events using a combination of CBC measurements, enabling binary risk classification based on very high risk versus other patients.\"}]","Predictive biosignatures for hospitalization inpatients with virologically confirmed COVID-19 | PDF",1790677595,18]