In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Input: Consider Input: Context: Acute kidney injury (AKI) is an established indicator of all-cause mortality in a coronary care unit (CCU), and evaluating the risks of renal dysfunction can guide treatment decisions. In this study we used the Society of Thoracic Surgeons (STS) score to predict the incidence of AKI in CCU patients who had not undergone coronary artery bypass surgery (CABG) after a cardiac angiogram.', 'The study cohort comprised 126 patients diagnosed with 2 or 3 coronary vessels disease who did not receive CABG during their hospital course. This study was performed in the CCU of a tertiary referral university hospital between September 2012 and August 2013. The STS score was evaluated with adjustment in all patients and the outcomes of the risk of mortality, morbidity, or mortality and renal failure were selected for predicting assessment. Furthermore, the performance of the STS scores was compared with that of other scoring systems.', 'A total of 28.5% (36 of 126) of the patients had AKI of varying severity. For predicting AKI, the STS renal failure score was excellent, with areas under the receiver operating characteristic curve of 0.851 0.039, p < 0.001. When compared with other scoring systems, the STS renal failure score demonstrated the highest discriminatory power, the most favorable Youden index, and the highest overall correctness of prediction.\Question: Do society of Thoracic Surgeons score predicts kidney injury in patients not undergoing bypass surgery?

Output: The STS score is an effective tool for predicting AKI in patients with coronary artery disease who have not undergone CABG. Frequent monitoring of serum creatinine level or early application of AKI biomarkers are warranted for STS renal failure 5.7% or greater.

Input: Consider Input: Context: Carotid stiffening is considered a key element in the pathogenesis of stroke. However, results of studies evaluating the association between carotid stiffness and incident stroke have been inconsistent.', 'This study investigated whether carotid stiffness (as determined by ultrasonography) is associated with incident stroke and whether this association is independent of aortic stiffness as estimated by carotid-femoral pulse wave velocity (cfPWV). Additionally, we evaluated the incremental value of carotid stiffness for stroke risk prediction beyond Framingham risk factors and cfPWV.', 'This study included a systematic review and meta-analyses of aggregate and individual participant data (IPD), the latter of which was obtained by requesting individual-level data of all cohort studies with available data on carotid stiffness and cfPWV.', 'Ten studies (n= 22,472) were included in the aggregate data meta-analysis and 4 (n= 4,540) in the IPD meta-analysis. After adjusting for cardiovascular (CV) factors, the aggregate data meta-analysis showed that greater carotid stiffness (per SD) was associated with stroke (hazard ratio: 1.18; 95% confidence interval: 1.05 to 1.33). In addition, carotid stiffness was associated with total CV events and CV and all-cause mortality, but not with coronary heart disease events. In the IPD meta-analysis, additional adjustment for cfPWV did not materially change these associations. Carotid stiffness did improve stroke risk prediction beyond Framingham and cfPWV (integrative discrimination improvement: 0.4 percentage point [95% confidence interval: 0.1 to 0.6 percentage point] and continuous net reclassification improvement: 18.6% [95% confidence interval: 5.8% to 31.3%]).\Question: Is carotid stiffness associated with incident stroke : a systematic review and individual participant data meta-analysis?

Output: Carotid stiffness is associated with incident stroke independently of CV factors and aortic stiffness. Inaddition, carotid stiffness improves stroke risk prediction beyond Framingham and aortic stiffness.

Input: Consider Input: Context: The major risk factor for osteoarthritis (OA) is aging, but the mechanisms underlying this risk are only partly understood. Age-related accumulation of advanced glycation end products (AGEs) could be one of these mechanisms. We undertook this study to investigate the role of the receptor for AGEs (RAGE) in mediating the cellular effects of AGEs on chondrocytes and fibroblast-like synoviocytes (FLS).', 'AGE levels in human cartilage were determined by fluorescence, browning, and pentosidine levels. Chondrocyte activation by AGEs was assessed as the release of proteoglycans and the synthesis of matrix metalloproteinase 1 (MMP-1) and type II collagen messenger RNA (mRNA). The activation of FLS by AGEs was measured by MMP-1 production and invasion through matrix proteins.', 'Patients with focal degeneration of cartilage showed increased AGE levels in their healthy cartilage compared with the levels in healthy cartilage from donors without cartilage degeneration (P < 0.01 for both fluorescence and browning; P not significant for pentosidine content). Stimulation of bovine chondrocytes with glycated albumin increased the release of proteoglycans by 110% (P < 0.001) and the production of MMP-1 mRNA by 200% (P = 0.028). In addition, OA FLS produced 240% more MMP-1 when stimulated with glycated albumin (P < 0.001). Glycated matrix or albumin increased the catabolic activity of OA FLS, which was assessed as invasive behavior, by 150% and 140% (P = 0.001 and P = 0.010), respectively. Effects of stimulation with AGEs were blocked by a neutralizing antibody against RAGE, but not by an isotype control.\Question: Does activation of receptor for advanced glycation end products in osteoarthritis lead to increased stimulation of chondrocytes and synoviocytes?
Output: This study shows that AGEs trigger RAGE on chondrocytes and FLS, leading to increased catabolic activity and therefore to cartilage degradation. AGEs, via RAGE, could therefore contribute to the development and/or progression of OA.