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Development and Val...
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Dong, Yi-MinHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Orthoped, Wuhan, Peoples R China.
(författare)
Development and Validation of a Nomogram for Assessing Survival in Patients With COVID-19 Pneumonia
- Artikel/kapitelEngelska2021
Förlag, utgivningsår, omfång ...
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2020-07-10
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Oxford University Press,2021
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:uu-442308
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442308URI
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https://doi.org/10.1093/cid/ciaa963DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Background. The outbreak of coronavirus disease 2019 (COVID-19) has spread worldwide and continues to threaten peoples' health as well as put pressure on the accessibility of medical systems. Early prediction of survival of hospitalized patients will help in the clinical management of COVID-19, but a prediction model that is reliable and valid is still lacking. Methods. We retrospectively enrolled 628 confirmed cases of COVID-19 using positive RT-PCR tests for SARS-CoV-2 in Tongji Hospital, Wuhan, China. These patients were randomly grouped into a training (60%) and a validation (40%) cohort. In the training cohort, LASSO regression analysis and multivariate Cox regression analysis were utilized to identify prognostic factors for in-hospital survival of patients with COVID-19. A nomogram based on the 3 variables was built for clinical use. AUCs, concordance indexes (C-index), and calibration curves were used to evaluate the efficiency of the nomogram in both training and validation cohorts. Results. Hypertension, higher neutrophil-to-lymphocyte ratio, and increased NT-proBNP values were found to be significantly associated with poorer prognosis in hospitalized patients with COVID-19. The 3 predictors were further used to build a prediction nomogram. The C-indexes of the nomogram in the training and validation cohorts were 0.901 and 0.892, respectively. The AUC in the training cohort was 0.922 for 14-day and 0.919 for 21-day probability of in-hospital survival, while in the validation cohort this was 0.922 and 0.881, respectively. Moreover, the calibration curve for 14- and 21-day survival also showed high coherence between the predicted and actual probability of survival. Conclusions. We built a predictive model and constructed a nomogram for predicting in-hospital survival of patients with COVID-19. This model has good performance and might be utilized clinically in management of COVID-19.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Sun, JiaHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Anesthesiol Inst, Wuhan, Peoples R China.;Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Anesthesiol & Pain Med, Wuhan, Peoples R China.
(författare)
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Li, Yi-XinHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Canc Ctr, Wuhan, Peoples R China.
(författare)
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Chen, QianHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Pharm, Wuhan, Peoples R China.
(författare)
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Liu, Qing-QuanHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Nephrol, Wuhan, Peoples R China.
(författare)
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Sun, ZhouHuazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Neurol, Wuhan, Peoples R China.
(författare)
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Pang, RanHuazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Infect Dis, Wuhan, Peoples R China.
(författare)
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Chen, FeiWuhan Univ Sci & Technol, Cent Hosp Xiaogan, Dept Oncol, Xiaogan, Peoples R China.
(författare)
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Xu, Bing-YangHuazhong Univ Sci & Technol, Tongji Hosp,Key Lab Organ Transplantat, Chinese Acad Med Sci,NHC Key Lab Organ Transplant, Tongji Med Coll,Inst Organ Transplantat,Minist Ed, Wuhan, Peoples R China.
(författare)
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Manyande, AnneUniv West London, Sch Human & Social Sci, London, England.
(författare)
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Clark, Taane G.London Sch Hyg & Trop Med, Fac Infect & Trop Dis, London, England.;London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London, England.
(författare)
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Li, Jin-PingUppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab(Swepub:uu)jinpili
(författare)
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Orhan, Ilkay ErdoganGazi Univ, Fac Pharm, Dept Pharmacognosy, Ankara, Turkey.
(författare)
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Tian, Yu-KeHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Anesthesiol Inst, Wuhan, Peoples R China.;Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Anesthesiol & Pain Med, Wuhan, Peoples R China.
(författare)
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Wang, TaoHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Resp & Crit Care Med, Wuhan, Peoples R China.
(författare)
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Wu, WeiHuazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Orthoped, Wuhan, Peoples R China.
(författare)
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Ye, Da-WeiHuazhong Univ Sci & Technol, Shanxi Med Univ, Shanxi Bethune Hosp, Shanxi Tongji Hosp,Shanxi Acad Med Sci,Tongji Med, Taiyuan, Peoples R China.
(författare)
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Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Orthoped, Wuhan, Peoples R China.Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Anesthesiol Inst, Wuhan, Peoples R China.;Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Anesthesiol & Pain Med, Wuhan, Peoples R China.
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Clinical Infectious Diseases: Oxford University Press72:4, s. 652-6601058-48381537-6591
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Dong, Yi-Min
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Sun, Jia
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Li, Yi-Xin
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Chen, Qian
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Liu, Qing-Quan
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Sun, Zhou
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visa fler...
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Pang, Ran
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Chen, Fei
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Xu, Bing-Yang
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Manyande, Anne
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Clark, Taane G.
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Li, Jin-Ping
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Orhan, Ilkay Erd ...
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Tian, Yu-Ke
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Wang, Tao
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Wu, Wei
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Ye, Da-Wei
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