FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385986088> ?p ?o ?g. }

• W4385986088 abstract "Abstract Purpose Traumatic brain injury (TBI) patients admitted to the intensive care unit (ICU) are at a high risk of infection and sepsis. However, there are few studies on predicting secondary sepsis in TBI patients in the ICU. This study aimed to build a prediction model for the risk of secondary sepsis in TBI patients in the ICU, and provide effective information for clinical diagnosis and treatment. Methods Using the MIMIC IV database version 2.0 (Medical Information Mart for Intensive Care IV), we searched data on TBI patients admitted to ICU and considered them as a study cohort. The extracted data included patient demographic information, laboratory indicators, complications, and other clinical data. The study cohort was divided into a training cohort and a validation cohort. In the training cohort, variables were screened by LASSO (Least absolute shrinkage and selection operator) regression and stepwise Logistic regression to assess the predictive ability of each feature on the incidence of patients. The screened variables were included in the final Logistic regression model. Finally, the decision curve, calibration curve, and receiver operating character (ROC) were used to test the performance of the model. Results Finally, a total of 1167 patients were included in the study, and these patients were randomly divided into the training (N = 817) and validation (N = 350) cohorts at a ratio of 7:3. In the training cohort, seven features were identified as key predictors of secondary sepsis in TBI patients in the ICU, including acute kidney injury (AKI), anemia, invasive ventilation, GCS (Glasgow Coma Scale) score, lactic acid, and blood calcium level, which were included in the final model. The areas under the ROC curve in the training cohort and the validation cohort were 0.756 and 0.711, respectively. The calibration curve and ROC curve show that the model has favorable predictive accuracy, while the decision curve shows that the model has favorable clinical benefits with good and robust predictive efficiency. Conclusion We have developed a nomogram model for predicting secondary sepsis in TBI patients admitted to the ICU, which can provide useful predictive information for clinical decision-making." @default.
• W4385986088 created "2023-08-19" @default.
• W4385986088 creator A5025603599 @default.
• W4385986088 creator A5028104273 @default.
• W4385986088 creator A5035859068 @default.
• W4385986088 creator A5041632192 @default.
• W4385986088 creator A5045653641 @default.
• W4385986088 creator A5082401239 @default.
• W4385986088 creator A5090632260 @default.
• W4385986088 date "2023-08-18" @default.
• W4385986088 modified "2023-10-14" @default.
• W4385986088 title "A predictive model for the risk of sepsis within 30 days of admission in patients with traumatic brain injury in the intensive care unit: a retrospective analysis based on MIMIC-IV database" @default.
• W4385986088 cites W1898928487 @default.
• W4385986088 cites W1915836761 @default.
• W4385986088 cites W1985631366 @default.
• W4385986088 cites W1989816492 @default.
• W4385986088 cites W1991864206 @default.
• W4385986088 cites W1998638218 @default.
• W4385986088 cites W2023162088 @default.
• W4385986088 cites W2077927847 @default.
• W4385986088 cites W2094352369 @default.
• W4385986088 cites W2106671991 @default.
• W4385986088 cites W2138877453 @default.
• W4385986088 cites W2140624306 @default.
• W4385986088 cites W2144589352 @default.
• W4385986088 cites W2160691650 @default.
• W4385986088 cites W2169285498 @default.
• W4385986088 cites W2280404143 @default.
• W4385986088 cites W2524000875 @default.
• W4385986088 cites W2524411259 @default.
• W4385986088 cites W2605510493 @default.
• W4385986088 cites W2613420687 @default.
• W4385986088 cites W2742625922 @default.
• W4385986088 cites W2756815751 @default.
• W4385986088 cites W2782248232 @default.
• W4385986088 cites W2886200927 @default.
• W4385986088 cites W2961597175 @default.
• W4385986088 cites W2965280217 @default.
• W4385986088 cites W2980512568 @default.
• W4385986088 cites W2991573081 @default.
• W4385986088 cites W2992764683 @default.
• W4385986088 cites W2998853022 @default.
• W4385986088 cites W3036684707 @default.
• W4385986088 cites W3094937636 @default.
• W4385986088 cites W3099758890 @default.
• W4385986088 cites W3164528967 @default.
• W4385986088 cites W3174786846 @default.
• W4385986088 cites W3199926573 @default.
• W4385986088 cites W3207351808 @default.
• W4385986088 cites W4233323540 @default.
• W4385986088 cites W4280572971 @default.
• W4385986088 cites W4289333384 @default.
• W4385986088 cites W4297983178 @default.
• W4385986088 doi "https://doi.org/10.1186/s40001-023-01255-8" @default.
• W4385986088 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37596695" @default.
• W4385986088 hasPublicationYear "2023" @default.
• W4385986088 type Work @default.
• W4385986088 citedByCount "0" @default.
• W4385986088 crossrefType "journal-article" @default.
• W4385986088 hasAuthorship W4385986088A5025603599 @default.
• W4385986088 hasAuthorship W4385986088A5028104273 @default.
• W4385986088 hasAuthorship W4385986088A5035859068 @default.
• W4385986088 hasAuthorship W4385986088A5041632192 @default.
• W4385986088 hasAuthorship W4385986088A5045653641 @default.
• W4385986088 hasAuthorship W4385986088A5082401239 @default.
• W4385986088 hasAuthorship W4385986088A5090632260 @default.
• W4385986088 hasBestOaLocation W43859860881 @default.
• W4385986088 hasConcept C118552586 @default.
• W4385986088 hasConcept C126322002 @default.
• W4385986088 hasConcept C141071460 @default.
• W4385986088 hasConcept C151956035 @default.
• W4385986088 hasConcept C167135981 @default.
• W4385986088 hasConcept C17624336 @default.
• W4385986088 hasConcept C177713679 @default.
• W4385986088 hasConcept C194828623 @default.
• W4385986088 hasConcept C201903717 @default.
• W4385986088 hasConcept C2776376669 @default.
• W4385986088 hasConcept C2778384902 @default.
• W4385986088 hasConcept C2780472472 @default.
• W4385986088 hasConcept C2781017439 @default.
• W4385986088 hasConcept C2987404301 @default.
• W4385986088 hasConcept C58471807 @default.
• W4385986088 hasConcept C71924100 @default.
• W4385986088 hasConcept C72563966 @default.
• W4385986088 hasConceptScore W4385986088C118552586 @default.
• W4385986088 hasConceptScore W4385986088C126322002 @default.
• W4385986088 hasConceptScore W4385986088C141071460 @default.
• W4385986088 hasConceptScore W4385986088C151956035 @default.
• W4385986088 hasConceptScore W4385986088C167135981 @default.
• W4385986088 hasConceptScore W4385986088C17624336 @default.
• W4385986088 hasConceptScore W4385986088C177713679 @default.
• W4385986088 hasConceptScore W4385986088C194828623 @default.
• W4385986088 hasConceptScore W4385986088C201903717 @default.
• W4385986088 hasConceptScore W4385986088C2776376669 @default.
• W4385986088 hasConceptScore W4385986088C2778384902 @default.
• W4385986088 hasConceptScore W4385986088C2780472472 @default.
• W4385986088 hasConceptScore W4385986088C2781017439 @default.
• W4385986088 hasConceptScore W4385986088C2987404301 @default.
• W4385986088 hasConceptScore W4385986088C58471807 @default.
• W4385986088 hasConceptScore W4385986088C71924100 @default.

• next