Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313255467> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4313255467 endingPage "e12585" @default.
- W4313255467 startingPage "e12585" @default.
- W4313255467 abstract "Some studies have reported to use some predictors before extracorporeal membrane oxygenation (ECMO) initiation to predict the acute kidney injury (AKI) risk. However, injury during the ECMO operation and the response of patients to ECMO may significantly influence the prognosis, and they are unpredictable before ECMO initiation. This study aims to develop a potential model based clinical characteristics at the 2-hour time point during ECMO for the early prediction of AKI in patients receiving ECMO.139 patients who underwent ECMO were enrolled in this study. The clinical characteristics and the laboratory examinations at 2-hour time point during ECMO were recorded. The least absolute shrinkage and selection operator (LASSO) regression method was performed to select predictors, and logistic regression and a nomogram were used to establish the prediction model. The area under curve (AUC) of the receiver operating characteristic and calibration curve were used to analyze the discrimination and calibration of the model. K-fold cross-validation method was performed to validate the accuracy of this model.Among the 139 patients receiving ECMO, 106 participants (76.26%) developed AKI. Four predictive variables including ECMO model, serum creatinine (Scr-2h), uric acid(UA-2h), and serum lactate (Lac-2h) at the 2-hour time point during ECMO were filtered from 39 clinical parameters by LASSO regression. These four predictors were incorporated to develop a model for predicting AKI risk using logistic regression. The AUC of the model was 0.905 (0.845-0.965), corresponding to 81.1% sensitivity, 90.9% specificity and 83.5% accuracy. Moreover, this model showed good consistency between observed and predicted probability based on the calibration curve (P > 0.05). The validation performed by K-fold cross-validation method showed that the accuracy was 0.874 ± 0.006 in training sets, 0.827 ± 0.053 in test sets, indicating a good capability for AKI risk prediction. Finally, a nomogram based on this model was constructed to facilitate its use in clinical practice.The nomogram incorporating Scr-2h,Lac-2h, UA-2h, and ECMO model may facilitate the individualized prediction of the AKI risk among patients undergoing ECMO." @default.
- W4313255467 created "2023-01-06" @default.
- W4313255467 creator A5007293606 @default.
- W4313255467 creator A5011092387 @default.
- W4313255467 creator A5050842056 @default.
- W4313255467 creator A5052045247 @default.
- W4313255467 creator A5078143614 @default.
- W4313255467 creator A5078988597 @default.
- W4313255467 date "2022-12-01" @default.
- W4313255467 modified "2023-10-14" @default.
- W4313255467 title "Development of an acute kidney injury risk prediction model for patients undergoing extracorporeal membrane oxygenation" @default.
- W4313255467 cites W1988147405 @default.
- W4313255467 cites W1989338788 @default.
- W4313255467 cites W2002112502 @default.
- W4313255467 cites W2038836996 @default.
- W4313255467 cites W2047753270 @default.
- W4313255467 cites W2054367343 @default.
- W4313255467 cites W2057772670 @default.
- W4313255467 cites W2080535870 @default.
- W4313255467 cites W2131419242 @default.
- W4313255467 cites W2133485106 @default.
- W4313255467 cites W2148152947 @default.
- W4313255467 cites W2156791331 @default.
- W4313255467 cites W2292528230 @default.
- W4313255467 cites W2341534365 @default.
- W4313255467 cites W2346200290 @default.
- W4313255467 cites W2432819573 @default.
- W4313255467 cites W2559229196 @default.
- W4313255467 cites W2586822843 @default.
- W4313255467 cites W2804740802 @default.
- W4313255467 cites W2889225244 @default.
- W4313255467 cites W2997867075 @default.
- W4313255467 cites W3086265789 @default.
- W4313255467 cites W3091351345 @default.
- W4313255467 cites W3114469357 @default.
- W4313255467 cites W3187743681 @default.
- W4313255467 cites W4283819629 @default.
- W4313255467 doi "https://doi.org/10.1016/j.heliyon.2022.e12585" @default.
- W4313255467 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36643308" @default.
- W4313255467 hasPublicationYear "2022" @default.
- W4313255467 type Work @default.
- W4313255467 citedByCount "0" @default.
- W4313255467 crossrefType "journal-article" @default.
- W4313255467 hasAuthorship W4313255467A5007293606 @default.
- W4313255467 hasAuthorship W4313255467A5011092387 @default.
- W4313255467 hasAuthorship W4313255467A5050842056 @default.
- W4313255467 hasAuthorship W4313255467A5052045247 @default.
- W4313255467 hasAuthorship W4313255467A5078143614 @default.
- W4313255467 hasAuthorship W4313255467A5078988597 @default.
- W4313255467 hasBestOaLocation W43132554671 @default.
- W4313255467 hasConcept C126322002 @default.
- W4313255467 hasConcept C136764020 @default.
- W4313255467 hasConcept C151956035 @default.
- W4313255467 hasConcept C2776858399 @default.
- W4313255467 hasConcept C2779915274 @default.
- W4313255467 hasConcept C2780306776 @default.
- W4313255467 hasConcept C2780472472 @default.
- W4313255467 hasConcept C34626388 @default.
- W4313255467 hasConcept C37616216 @default.
- W4313255467 hasConcept C41008148 @default.
- W4313255467 hasConcept C58471807 @default.
- W4313255467 hasConcept C71924100 @default.
- W4313255467 hasConcept C76318530 @default.
- W4313255467 hasConceptScore W4313255467C126322002 @default.
- W4313255467 hasConceptScore W4313255467C136764020 @default.
- W4313255467 hasConceptScore W4313255467C151956035 @default.
- W4313255467 hasConceptScore W4313255467C2776858399 @default.
- W4313255467 hasConceptScore W4313255467C2779915274 @default.
- W4313255467 hasConceptScore W4313255467C2780306776 @default.
- W4313255467 hasConceptScore W4313255467C2780472472 @default.
- W4313255467 hasConceptScore W4313255467C34626388 @default.
- W4313255467 hasConceptScore W4313255467C37616216 @default.
- W4313255467 hasConceptScore W4313255467C41008148 @default.
- W4313255467 hasConceptScore W4313255467C58471807 @default.
- W4313255467 hasConceptScore W4313255467C71924100 @default.
- W4313255467 hasConceptScore W4313255467C76318530 @default.
- W4313255467 hasIssue "12" @default.
- W4313255467 hasLocation W43132554671 @default.
- W4313255467 hasLocation W43132554672 @default.
- W4313255467 hasLocation W43132554673 @default.
- W4313255467 hasOpenAccess W4313255467 @default.
- W4313255467 hasPrimaryLocation W43132554671 @default.
- W4313255467 hasRelatedWork W3158496067 @default.
- W4313255467 hasRelatedWork W4280491889 @default.
- W4313255467 hasRelatedWork W4292767329 @default.
- W4313255467 hasRelatedWork W4292823564 @default.
- W4313255467 hasRelatedWork W4295126747 @default.
- W4313255467 hasRelatedWork W4296983071 @default.
- W4313255467 hasRelatedWork W4365454990 @default.
- W4313255467 hasRelatedWork W4377115450 @default.
- W4313255467 hasRelatedWork W4385705790 @default.
- W4313255467 hasRelatedWork W4386533254 @default.
- W4313255467 hasVolume "8" @default.
- W4313255467 isParatext "false" @default.
- W4313255467 isRetracted "false" @default.
- W4313255467 workType "article" @default.