FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385874811> ?p ?o ?g. }

• W4385874811 abstract "Objectives Inflammation is involved in the mechanisms of non-ischemic heart failure (NIHF). We aimed to investigate the prognostic value of 21 inflammatory biomarkers and construct a biomarker risk score to improve risk prediction for patients with NIHF. Methods Patients diagnosed with NIHF without infection during hospitalization were included. The primary outcome was defined as all-cause mortality and heart transplantations. We used elastic net Cox regression with cross-validation to select inflammatory biomarkers and construct the best biomarker risk score model. Discrimination, calibration, and reclassification were evaluated to assess the predictive value of the biomarker risk score. Results Of 1,250 patients included (median age, 53 years, 31.9% women), 436 patients (34.9%) experienced the primary outcome during a median of 2.8 years of follow-up. The final biomarker risk score included high-sensitivity C-reactive protein-to-albumin ratio (CAR) and red blood cell distribution width-standard deviation (RDW-SD), both of which were 100% selected in 1,000 times cross-validation folds. Incorporating the biomarker risk score into the best basic model improved the discrimination (Δ C -index = 0.012, 95% CI 0.003–0.018) and reclassification (IDI, 2.3%, 95% CI 0.7%–4.9%; NRI, 17.3% 95% CI 6.4%–32.3%) in risk identification. In the cross-validation sets, the mean time-dependent AUC ranged from 0.670 to 0.724 for the biomarker risk score and 0.705 to 0.804 for the basic model with a biomarker risk score, from 1 to 8 years. In multivariable Cox regression, the biomarker risk score was independently associated with the outcome in patients with NIHF (HR 1.76, 95% CI 1.49–2.08, p &lt; 0.001, per 1 score increase). Conclusions An inflammatory biomarker-derived risk score significantly improved prognosis prediction and risk stratification, providing potential individualized therapeutic targets for NIHF patients." @default.
• W4385874811 created "2023-08-17" @default.
• W4385874811 creator A5004724029 @default.
• W4385874811 creator A5012705262 @default.
• W4385874811 creator A5037677450 @default.
• W4385874811 creator A5041398080 @default.
• W4385874811 creator A5042255453 @default.
• W4385874811 creator A5044379201 @default.
• W4385874811 creator A5052621979 @default.
• W4385874811 creator A5066657162 @default.
• W4385874811 creator A5081783377 @default.
• W4385874811 creator A5083937592 @default.
• W4385874811 date "2023-08-15" @default.
• W4385874811 modified "2023-09-25" @default.
• W4385874811 title "Incorporating inflammatory biomarkers into a prognostic risk score in patients with non-ischemic heart failure: a machine learning approach" @default.
• W4385874811 cites W1987980227 @default.
• W4385874811 cites W2015706524 @default.
• W4385874811 cites W2017234408 @default.
• W4385874811 cites W2025001402 @default.
• W4385874811 cites W2049209813 @default.
• W4385874811 cites W2079307913 @default.
• W4385874811 cites W2083710292 @default.
• W4385874811 cites W2087983037 @default.
• W4385874811 cites W2092498268 @default.
• W4385874811 cites W2116148243 @default.
• W4385874811 cites W2118291016 @default.
• W4385874811 cites W2122825543 @default.
• W4385874811 cites W2160653653 @default.
• W4385874811 cites W2343539326 @default.
• W4385874811 cites W2395420184 @default.
• W4385874811 cites W2573076882 @default.
• W4385874811 cites W2641443785 @default.
• W4385874811 cites W2767983921 @default.
• W4385874811 cites W2905245228 @default.
• W4385874811 cites W2963725706 @default.
• W4385874811 cites W2969906615 @default.
• W4385874811 cites W3001411974 @default.
• W4385874811 cites W3132494856 @default.
• W4385874811 cites W3165033224 @default.
• W4385874811 cites W4205758624 @default.
• W4385874811 cites W4220923296 @default.
• W4385874811 cites W4229497868 @default.
• W4385874811 cites W4281683372 @default.
• W4385874811 cites W4295517200 @default.
• W4385874811 cites W4296095482 @default.
• W4385874811 cites W4307238565 @default.
• W4385874811 cites W4309045778 @default.
• W4385874811 cites W4319319931 @default.
• W4385874811 cites W4321748478 @default.
• W4385874811 doi "https://doi.org/10.3389/fimmu.2023.1228018" @default.
• W4385874811 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37649485" @default.
• W4385874811 hasPublicationYear "2023" @default.
• W4385874811 type Work @default.
• W4385874811 citedByCount "0" @default.
• W4385874811 crossrefType "journal-article" @default.
• W4385874811 hasAuthorship W4385874811A5004724029 @default.
• W4385874811 hasAuthorship W4385874811A5012705262 @default.
• W4385874811 hasAuthorship W4385874811A5037677450 @default.
• W4385874811 hasAuthorship W4385874811A5041398080 @default.
• W4385874811 hasAuthorship W4385874811A5042255453 @default.
• W4385874811 hasAuthorship W4385874811A5044379201 @default.
• W4385874811 hasAuthorship W4385874811A5052621979 @default.
• W4385874811 hasAuthorship W4385874811A5066657162 @default.
• W4385874811 hasAuthorship W4385874811A5081783377 @default.
• W4385874811 hasAuthorship W4385874811A5083937592 @default.
• W4385874811 hasBestOaLocation W43858748111 @default.
• W4385874811 hasConcept C11783203 @default.
• W4385874811 hasConcept C126322002 @default.
• W4385874811 hasConcept C143998085 @default.
• W4385874811 hasConcept C185592680 @default.
• W4385874811 hasConcept C2776914184 @default.
• W4385874811 hasConcept C2778198053 @default.
• W4385874811 hasConcept C2779134260 @default.
• W4385874811 hasConcept C2781195455 @default.
• W4385874811 hasConcept C2781197716 @default.
• W4385874811 hasConcept C50382708 @default.
• W4385874811 hasConcept C55493867 @default.
• W4385874811 hasConcept C71924100 @default.
• W4385874811 hasConceptScore W4385874811C11783203 @default.
• W4385874811 hasConceptScore W4385874811C126322002 @default.
• W4385874811 hasConceptScore W4385874811C143998085 @default.
• W4385874811 hasConceptScore W4385874811C185592680 @default.
• W4385874811 hasConceptScore W4385874811C2776914184 @default.
• W4385874811 hasConceptScore W4385874811C2778198053 @default.
• W4385874811 hasConceptScore W4385874811C2779134260 @default.
• W4385874811 hasConceptScore W4385874811C2781195455 @default.
• W4385874811 hasConceptScore W4385874811C2781197716 @default.
• W4385874811 hasConceptScore W4385874811C50382708 @default.
• W4385874811 hasConceptScore W4385874811C55493867 @default.
• W4385874811 hasConceptScore W4385874811C71924100 @default.
• W4385874811 hasLocation W43858748111 @default.
• W4385874811 hasLocation W43858748112 @default.
• W4385874811 hasOpenAccess W4385874811 @default.
• W4385874811 hasPrimaryLocation W43858748111 @default.
• W4385874811 hasRelatedWork W2015659076 @default.
• W4385874811 hasRelatedWork W2968612757 @default.
• W4385874811 hasRelatedWork W3068060963 @default.
• W4385874811 hasRelatedWork W3111193331 @default.
• W4385874811 hasRelatedWork W3209608268 @default.
• W4385874811 hasRelatedWork W4207050381 @default.

• next