Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Ex Input:
Context: Blood oxygen level-dependent (BOLD) MRI has been effectively used to monitor changes in renal oxygenation. However, R2* (or T2*) is not specific to blood oxygenation and is dependent on other factors. This study investigates the use of a statistical model that takes these factors into account and maps BOLD MRI measurements to blood pO2.', "Spin echo and gradient echo images were obtained in six Sprague-Dawley rats and R2 and R2* maps were computed. Measurements were made at baseline, post-nitric oxide synthase inhibitor (L-NAME), and post-furosemide administration. A simulation of each region was performed to map R2' (computed as R2*-R2) to blood pO2.", 'At baseline, blood pO2 in the outer medulla was 30.51.2 mmHg and 51.95.2 mmHg in the cortex, in agreement with previous invasive studies. Blood pO2 was found to decrease within the outer medulla following L-NAME (P<0.05) and increase after furosemide (P<0.05). Blood pO2 in the cortex increased following furosemide (P<0.05).
Answer: Model-derived blood pO2 is sensitive to pharmacological challenges, and baseline pO2 is comparable to literature values. Reporting pO2 instead of R2* could lead to a greater clinical impact of renal BOLD MRI and facilitate the identification of hypoxic regions. Magn Reson Med, 2016. ©️ 2016 International Society for Magnetic Resonance in Medicine.

Ex Output:
Is bOLD quantified renal pO2 sensitive to pharmacological challenges in rats?

Ex Input:
Context: Intermountain Risk Score (IMRS) uses the admission complete blood count and basic metabolic profile to predict mortality. Intermountain Risk Score has been validated in medical patients but has not been evaluated in trauma. This study tested whether IMRS is predictive of mortality in a trauma population at a level I trauma center.', 'Admitted trauma patients with complete blood count and basic metabolic profile from October 2005 to December 2011 were evaluated. Thirty-day and 1-year IMRS were calculated using multivariable modeling. Mortality was determined using the medical record and Social Security Administration death data.', 'Three thousand six hundred thirty-seven females and 5901 males were evaluated. Intermountain Risk Score was highly predictive of death at 30 days (c-statistics, c = 0.772 for females; c = 0.783 males) and 1 year (c = 0.778 for females; c = 0.831 males). Cox regression analysis, adjusted for injury severity score, blunt vs penetrating, and length of stay, showed increased mortality risks among patients in the moderate- and high-risk IMRS-defined groups at both 30 days and 1 year, with hazard ratios ranging from 4.96 to 57.88 (all P < .001).
Answer: Intermountain Risk Score strongly predicts mortality in trauma patients at this single level I trauma center. The ability to accurately determine a patient's mortality risk at admission makes IMRS a potentially clinically important tool.

Ex Output:
Does the Intermountain Risk Score predict mortality in trauma patients?

Ex Input:
Context: Human papillomavirus (HPV) is recognized as a major causative agent for cervical carcinomas. Based on their oncogenic potential, HPV subtypes have been divided into high- and low-risk. In Pakistan, screening for HPV in female patients is not commonly practiced, and as a consequence, the degree of HPV prevalence and its correlation with cervical cancer is unknown.', 'In this study, we have attempted to estimate the prevalence of HPV infection, and also the HPV subtype profile, among Pakistani women with cervical cancer from varied geographical, racial, and social backgrounds within Pakistan.', 'Women visiting two tertiary care hospitals in Karachi, diagnosed with carcinoma of the cervix within the past 15 years, were analyzed for HPV subtypes in their cancer specimens. Retrospectively, 60 paraffin-embedded cervical cancer biopsies were examined for the presence of HPV DNA. After DNA extraction from these samples, polymerase chain reaction (PCR) was used to amplify the HPV L1 gene using the consensus (general) primers, and primers specific for subtypes 16 and 18.', 'Of the 60 samples analyzed, only one sample was HPV negative; the rest of the samples were positive for the presence of HPV. Of the 59 HPV positive samples, 56 showed the presence of HPV16 and one sample was positive for HPV18; HPV subtype could not be determined in two samples.
Answer: Our results show a strong relationship between HPV infection and cervical cancer among Pakistani women. These results underscore the need to implement regular HPV screening for Pakistani women. An early diagnosis of HPV infection will allow better health management to reduce the risk of developing cervical cancer.

Ex Output:
Is human papillomavirus subtype 16 common in Pakistani women with cervical carcinoma?