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.

[EX Q]: 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?
[EX A]: 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.

[EX Q]: Context: To investigate the effects of interval aerobic training combined with strength-endurance exercise (IASE) and caloric restriction (CR) on body composition, glycaemic and lipid profile and inflammatory markers.', 'Thirty-two Zucker diabetic fatty rats were randomised into 4 groups (sedentary\xa0+\xa0CR; sedentary\xa0+\xa0adlibitum; IASE\xa0+\xa0CR; and IASE\xa0+\xa0adlibitum). Training groups conducted an IASE programme in the same session, 5 days/week for 2 months. Body weight, fat and muscle mass and body water were measured using a body composition analyser. Plasma total, LDL and HDL cholesterol, phospholipids, triglycerides, insulin, adiponectin, tumour necrosis factor alpha, interleukin 1 and 10 were measured. Blood fasting and postprandial glucose were assessed. Body weight was lower in the CR compared to the adlibitum groups (p\xa0<\xa00.001). Fat mass was lower in the CR compared to the adlibitum (p\xa0<\xa00.05) and in the IASE compared to the sedentary groups (p\xa0<\xa00.001), but IASE increased lean mass (p\xa0<\xa00.001). Triglycerides were lower in the CR compared to the adlibitum groups (p\xa0<\xa00.001) whereas total and LDL-cholesterol and fasting glucose were reduced only in the IASE groups (all, p\xa0<\xa00.001). Phospholipids decreased in the CR compared to the adlibitum (p\xa0<\xa00.05) and the IASE compared to the sedentary groups (p\xa0<\xa00.001). The area under the curve after oral glucose tolerance test, insulin and homoeostatic model assessment were lower in the IASE and the CR compared to the sedentary and adlibitum groups, respectively (all, p\xa0<\xa00.001). Adiponectin was lower in the CR groups (p\xa0<\xa00.001).\Question: Does interval aerobic training combined with strength-endurance exercise improve metabolic markers beyond caloric restriction in Zucker rats?
[EX A]: Overall, IASE as well as CR were both useful interventions, especially when combined. However, IASE showed greater improvements on body composition, inflammatory and glycaemic profile than CR did.

[EX Q]: Context: Previous research has demonstrated that chronic cigarette smoking and major depressive disorder (MDD) are each associated with cognitive decrements. Further, these conditions co-occur commonly, though mechanisms in the comorbid condition are poorly understood. There may be distinct, additive, or overlapping factors underlying comorbid cigarette smoking and MDD. The present study investigated the impact of smoking and MDD on executive function and emotion processing.', 'Participants (N=198) were grouped by diagnostic category (MDD and healthy controls, HC) and smoking status (ever-smokers, ES and never-smokers, NS). Participants completed the Facial Emotion Perception Test (FEPT), a measure of emotional processing, and the parametric Go/No-go task (PGNG), a measure of executive function.', 'FEPT performance was analyzed using ANCOVA with accuracy and reaction time as separate dependent variables. Repeated measures MANCOVA was conducted for PGNG with performance measure and task level as dependent variables. Analyses for each task included diagnostic and smoking group as independent variables, and gender was controlled for. Results for FEPT reveal that lower overall accuracy was found for ES relative to NS, though MDD did not differ from HC. Post-hoc analyses revealed that ES were poorer at identifying happy and sad, but not fearful or angry, faces. For PGNG, poorer performance was observed in MDD relative to HC in response time to Go targets, but there were no differences for ES and NS. Interaction of diagnosis and smoking group was not observed for performance on either task.\Question: Is smoking history , and not depression , related to deficits in detection of happy and sad faces?
[EX A]:
The results of this study provide preliminary evidence for distinctive cognitive decrements in smokers and individuals with depression.