| 1. |
- van Diepen, Sean, et al.
(författare)
-
Prognostic relevance of baseline pro- and anti-inflammatory markers in STEMI : An APEX AMI substudy
- 2013
-
Ingår i: International Journal of Cardiology. - : Elsevier BV. - 0167-5273 .- 1874-1754. ; 168:3, s. 2127-2133
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Plaque rupture, acute ischemia, and necrosis in acute coronary syndromes are accompanied by concurrent pro-and anti-inflammatory cascades. Whether STEMI clinical prediction models can be improved with the addition of baseline inflammatory biomarkers remains unknown. Methods: In an APEX-AMI trial substudy, 772 patients had a panel of 9 inflammatory serum biomarkers, high sensitivity C reactive protein (hsCRP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) measured at baseline after randomization. Baseline biomarkers were incorporated into a clinical prediction model for a composite of 90-day death, shock, or heart failure. Incremental prognostic value was assessed using Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI). Results: Individually, several biomarkers were independent predictors of clinical outcome: hsCRP (hazard ratio [HR] 1.12; 95% confidence interval [CI], 1.03-1.21; p=0.007, per doubling), NT-proBNP (HR 1.14; 95% CI, 1.06-1.23; p<0.001, per doubling), interleukin (IL)-6 (HR 1.26; 95% CI, 1.12-1.41; p<0.001, per doubling), and inducible protein-10 (IP-10) (HR 0.86; 95% CI, 0.76-0.98; p<0.025, per doubling). The addition of baseline NT-proBNP (NRI 8.6%, p=0.028; IDI 0.030, p<0.001) and IL-6 (NRI 8.8%, p=0.012; IDI 0.036, p<0.001) improved the clinical risk prediction model and the addition of hsCRP (NRI 6.5%, p=0.069; IDI 0.018, p=0.004) yielded minimal improvement. After incorporating NT-proBNP into the model, the remaining biomarkers added little additional predictive value. Conclusions: Multiple inflammatory biomarkers independently predicted 90-day death, shock or heart failure; however, they added little value to a clinical prediction model that included NT-proBNP. Future studies of inflammatory biomarkers in STEMI should report incremental value in a prediction model that includes NT-proBNP.
|
|
| 2. |
- Gu, Tianbao, et al.
(författare)
-
Advanced simulation of a 750 t/d municipal solid waste grate boiler to better accommodate feedstock changes due to waste classification
- 2022
-
Ingår i: Energy. - : Elsevier BV. - 0360-5442. ; 254
-
Tidskriftsartikel (refereegranskat)abstract
- To better accommodate changes in municipal solid waste (MSW) properties due to waste classification, advanced computational fluid dynamics (CFD) simulations are carried out for a 750 t/d MSW moving-grate boiler. A moving-grate bed model is developed and iteratively coupled to the freeboard simulation which is performed in Ansys Fluent. The model is first validated by the measurement data for the daily operation case incinerating current feedstock. Then, the model is deployed to investigate the impacts of feedstock change and adjust boiler operation for better accommodating the new MSW. The results indicate incineration of the new MSW leads to irrational utilization of oxygen, non-uniform temperature distribution and low mixing, while maintaining current operation conditions. Subsequently, adjustments of air supply and thermal input are proposed and conducted by the model, which address the potential issues and benefit boiler operation and energy recycling. Finally, the uniformity of velocity and turbulent kinetic energy which indicates mixing, are compared for different cases. The latter is increased by 51.39% and 81.04% after the adjustments of air supply and thermal input. The investigation provides solid references for incinerating new MSW in the current boiler.
|
|
| 3. |
- Wetterskog, Erik, et al.
(författare)
-
Size and property bimodality in magnetic nanoparticle dispersions : single domain particles vs. strongly coupled nanoclusters
- 2017
-
Ingår i: Nanoscale. - : ROYAL SOC CHEMISTRY. - 2040-3364 .- 2040-3372. ; 9:12, s. 4227-4235
-
Tidskriftsartikel (refereegranskat)abstract
- The widespread use of magnetic nanoparticles in the biotechnical sector puts new demands on fast and quantitative characterization techniques for nanoparticle dispersions. In this work, we report the use of asymmetric flow field-flow fractionation (AF4) and ferromagnetic resonance (FMR) to study the properties of a commercial magnetic nanoparticle dispersion. We demonstrate the effectiveness of both techniques when subjected to a dispersion with a bimodal size/magnetic property distribution: i.e., a small superparamagnetic fraction, and a larger blocked fraction of strongly coupled colloidal nanoclusters. We show that the oriented attachment of primary nanocrystals into colloidal nanoclusters drastically alters their static, dynamic, and magnetic resonance properties. Finally, we show how the FMR spectra are influenced by dynamical effects; agglomeration of the superparamagnetic fraction leads to reversible line-broadening; rotational alignment of the suspended nanoclusters results in shape-dependent resonance shifts. The AF4 and FMR measurements described herein are fast and simple, and therefore suitable for quality control procedures in commercial production of magnetic nanoparticles.
|
|
