000107420 001__ 107420
000107420 005__ 20230519145505.0
000107420 0247_ $$2doi$$a10.4269/ajtmh.20-1039
000107420 0248_ $$2sideral$$a124738
000107420 037__ $$aART-2021-124738
000107420 041__ $$aeng
000107420 100__ $$aAbdollahpour, Ibrahim
000107420 245__ $$aModel prediction for in-hospital mortality in patients with covid-19: a case-control study in Isfahan, Iran
000107420 260__ $$c2021
000107420 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107420 5203_ $$aThe COVID-19 pandemic has now imposed an enormous global burden as well as a large mortality in a short time period. Although there is no promising treatment, identification of early predictors of in-hospital mortality would be critically important in reducing its worldwide mortality. We aimed to suggest a prediction model for in-hospital mortality of COVID-19. In this case–control study, we recruited 513 confirmed patients with COVID-19 from February 18 to March 26, 2020 from Isfahan COVID-19 registry. Based on extracted laboratory, clinical, and demographic data, we created an in-hospital mortality predictive model using gradient boosting. We also determined the diagnostic performance of the proposed model including sensitivity, specificity, and area under the curve (AUC) as well as their 95% CIs. Of 513 patients, there were 60 (11.7%) in-hospital deaths during the study period. The diagnostic values of the suggested model based on the gradient boosting method with oversampling techniques using all of the original data were specificity of 98.5% (95% CI: 96.8–99.4), sensitivity of 100% (95% CI: 94–100), negative predictive value of 100% (95% CI: 99.2–100), positive predictive value of 89.6% (95% CI: 79.7–95.7), and an AUC of 98.6%. The suggested model may be useful in making decision to patient’s hospitalization where the probability of mortality may be more obvious based on the final variable. However, moderate gaps in our knowledge of the predictors of in-hospital mortality suggest further studies aiming at predicting models for in-hospital mortality in patients with COVID-19.
000107420 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000107420 590__ $$a3.707$$b2021
000107420 592__ $$a1.013$$b2021
000107420 594__ $$a4.4$$b2021
000107420 591__ $$aTROPICAL MEDICINE$$b7 / 24 = 0.292$$c2021$$dQ2$$eT1
000107420 593__ $$aMedicine (miscellaneous)$$c2021$$dQ1
000107420 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b95 / 210 = 0.452$$c2021$$dQ2$$eT2
000107420 593__ $$aVirology$$c2021$$dQ1
000107420 593__ $$aParasitology$$c2021$$dQ1
000107420 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000107420 700__ $$0(orcid)0000-0001-7293-701X$$aAguilar-Palacio, Isabel$$uUniversidad de Zaragoza
000107420 700__ $$aGonzález-Garcia, Juan
000107420 700__ $$aVaseghi, Golnaz
000107420 700__ $$aOtroj, Zahra
000107420 700__ $$aManteghinejad, Amirreza
000107420 700__ $$aMosayebi, Azam
000107420 700__ $$aSalimi, Yahya
000107420 700__ $$aHaghjooy Javanmard, Shaghayegh
000107420 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000107420 773__ $$g104, 4 (2021), 1473-1483$$pAm. j. trop. med. hyg.$$tAMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE$$x0002-9637
000107420 8564_ $$s180732$$uhttps://zaguan.unizar.es/record/107420/files/texto_completo.pdf$$yVersión publicada
000107420 8564_ $$s3568236$$uhttps://zaguan.unizar.es/record/107420/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000107420 909CO $$ooai:zaguan.unizar.es:107420$$particulos$$pdriver
000107420 951__ $$a2023-05-18-15:05:48
000107420 980__ $$aARTICLE