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: Progress in the management of patients with medically intractable epilepsy is impeded because we do not fully understand why pharmacoresistance happens and how it can be predicted. The presence of multiple seizures prior to medical treatment has been suggested as a potential predictor of poor outcome. In the present study, we used an animal model of temporal lobe epilepsy to investigate whether pharmacoresistant rats differ in seizure frequency from pharmacoresponsive animals.', 'Epilepsy with spontaneous recurrent seizures (SRS) was induced by status epilepticus. Frequency of SRS was determined by video/EEG (electroencephalography) monitoring in a total of 33 epileptic rats before onset of treatment with phenobarbital (PB).', 'Thirteen (39%) rats did not respond to treatment with PB. Before treatment with PB, average seizure frequency in PB nonresponders was significantly higher than seizure frequency in responders, which, however, was due to six nonresponders that exhibited > 3 seizures per day. Such high seizure frequency was not observed in responders, demonstrating that high seizure frequency predicts pharmacoresistance in this model, but does not occur in all nonresponders.\Question: Is high seizure frequency prior to antiepileptic treatment a predictor of pharmacoresistant epilepsy in a rat model of temporal lobe epilepsy?
[EX A]: The data from this study are in line with clinical experience that the frequency of seizures in the early phase of epilepsy is a dominant risk factor that predicts refractoriness. However, resistance to treatment also occurred in rats that did not differ in seizure frequency from responders, indicating that disease severity alone is not sufficient to explain antiepileptic drug (AED) resistance. These data provide further evidence that epilepsy models are useful in the search for predictors and mechanisms of pharmacoresistance.

[EX Q]: Context: Sepsis is an emergency condition with high mortality and morbidity rate. There are limited data on the association of cancer as a risk factor for mortality in sepsis patients in the emergency department (ED).', 'This retrospective study was conducted at the ED, Faculty of Medicine, Ramathibodi Hospital, Bangkok, Thailand. The study period was between January 1st and December 31st, 2014. The inclusion criteria were as follows: adult patients over 15 years of age who presented at the ED with suspicion of sepsis, received treatment at the ED, and whose blood culture was found to be positive. Clinical data were recorded from medical records including the Mortality in Emergency Department Sepsis score (MEDS score). The primary outcome of this study was mortality at one month. Multivariate logistic regression analysis was used to identify independent factors associated with death.', 'During the study period, there were 775 eligible patients. The two most common pathogens identified from blood cultures were Staphylococcus aureus (193 patients; 24.9%) and Escherichia coli (158 patients; 20.4%). At one month after presenting at the ED, 110 patients (14.2%) had died. There were four significant factors for death, having cancer, being on an endotracheal tube, initial diagnosis of bacteremia, and high MED scores. Having cancer had an adjusted OR of 2.12 (95% CI of 1.29, 3.47).\Question: Do cancer Patients Are at High Risk of Mortality if Presenting with Sepsis at an Emergency Department?
[EX A]: Cancer patients have double the risk of mortality if presenting with sepsis at the ED.

[EX Q]: Context: Hematuria is considered a marker of active renal disease in ANCA-associated glomerulonephritis (ANCA-GN) with induction immunosuppression often continued until hematuria has resolved. We aim to determine whether longer hematuria duration is associated with lower estimated glomerular filtration rate (eGFR) at 1 year.', 'We conducted a retrospective study of 55 patients with biopsy-proven ANCA-GN. Linear regression models were constructed to determine predictors of eGFR at 1 year. The primary exposure was hematuria (>5 rbc/hpf) duration, defined as <90 days vs. ≥ 90 days following renal biopsy. Covariates included age, gender, ANCA type, baseline eGFR, and baseline proteinuria.', 'Mean age at diagnosis was 58 years (53% male, 80% Caucasian, 38% PR3-ANCA, and 45% MPO-ANCA). At baseline, all patients had hematuria, 95% had proteinuria, and mean serum creatinine was 3.1 [standard deviation (SD) = 2.3]mg/dL. Overall, 93% were treated with steroids in combination with either cyclophosphamide or rituximab. Mean hematuria duration was 92 (SD = 77) days with 34 (62%) patients having hematuria resolution within 90 days. Older age and lower baseline eGFR were associated with lower eGFR at 1 year (p = 0.03 and p < 0.001, respectively). Hematuria resolution (<90 days vs. ≥ 90 days) was not predictive of eGFR at 1 year (p = 0.93).\Question: Does hematuria duration predict kidney function at 1 year in ANCA-associated glomerulonephritis?
[EX A]:
In ANCA-GN, hematuria duration does not predict eGFR at 1 year. Our findings provide support that among individuals who are otherwise considered to be in clinical remission, the persistence of hematuria should not delay transition from induction to maintenance immunosuppression.