Given a passage, 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.

Example Input: Guillotine below-knee amputation (BKA) for wet gangrene is an unfortunate complication of poorly controlled diabetes. We examined risk factors associated with wound complications after amputation formalization in this patient population.', 'Retrospective data over a 4-year period were collected for patients undergoing guillotine BKA for wet gangrene followed by staged formalization. Patients with abnormal distal pulses underwent evaluation before formalization to stratify for peripheral arterial disease (PAD). Those patients with palpable pulses and no known PAD went to formalization without further investigation. Poor operative candidates underwent delayed formalization to allow for preoperative optimization. Patient history, interval between surgeries, pathology, and preformalization laboratories were tested for significance. Primary outcome was postformalization wound complication.', 'Fifty-six amputations in 55 patients met inclusion criteria. Wound complications after formalization occurred in 18 cases, all BKAs (32%). A history of PAD was present in 19 patients (34.5%). On pathology, 23 patients (41%) had small-vessel atherosclerosis or arteriosclerosis. There was no association between wound complications and history of PAD (P = 0.4), preformalization albumin (P = 0.09), glucose (P = 0.9), white blood cell count (P = 0.4), or delayed versus expedited formalization (P = 0.8). Only the presence of microvascular disease on formal pathology was predictive of wound complications (P = 0.03). There was no association between microvascular disease on pathology and a history of PAD (P = 0.07).
Example Output: Is unrecognized arteriosclerosis associated with wound complications after below-knee amputation?

Example Input: Chronic opioid therapy for chronic pain treatment has increased. Hospital physicians, including hospitalists and medical/surgical resident physicians, care for many hospitalized patients, yet little is known about opioid prescribing at hospital discharge and future chronic opioid use.', "We aimed to characterize opioid prescribing at hospital discharge among 'opioid naive' patients. Opioid naive patients had not filled an opioid prescription at an affiliated pharmacy 1 year preceding their hospital discharge. We also set out to quantify the risk of chronic opioid use and opioid refills 1 year post discharge among opioid naive patients with and without opioid receipt at discharge.", 'This was a retrospective cohort study.', 'From 1 January 2011 to 31 December 2011, 6,689 opioid naive patients were discharged from a safety-net hospital.', 'Chronic opioid use 1 year post discharge.', 'Twenty-five percent of opioid naive patients (n=1,688) had opioid receipt within 72 hours of discharge. Patients with opioid receipt were more likely to have diagnoses including neoplasm (6.3% versus 3.5%, p<0.001), acute pain (2.7% versus 1.0 %, p<0.001), chronic pain at admission (12.1% versus 3.3%, p<0.001) or surgery during their hospitalization (65.1% versus 18.4%, p<0.001) compared to patients without opioid receipt. Patients with opioid receipt were less likely to have alcohol use disorders (15.7% versus 20.7%, p<0.001) and mental health disorders (23.9% versus 31.4%, p<0.001) compared to patients without opioid receipt. Chronic opioid use 1 year post discharge was more common among patients with opioid receipt (4.1% versus 1.3%, p<0.0001) compared to patients without opioid receipt. Opioid receipt was associated with increased odds of chronic opioid use (AOR=4.90, 95% CI 3.22-7.45) and greater subsequent opioid refills (AOR=2.67, 95% CI 2.29-3.13) 1 year post discharge compared to no opioid receipt.
Example Output: Does opioid Prescribing at Hospital Discharge contribute to Chronic Opioid Use?

Example Input: To determine the frequency of pulmonary embolism (PE) diagnosis when different alternative diagnoses were considered most likely before testing, because the relationship between specific alternative diagnoses and the diagnosis of PE has not been explored.', "This study was a preplanned secondary analysis of a prospective study of the diagnosis of pulmonary embolism conducted in the emergency department (ED) of an urban university hospital. Physicians were queried as to their most likely pretest diagnosis when they ordered any of the following tests to evaluate possible PE: D-dimer, contrast-enhanced computed tomography of the chest, ventilation-perfusion lung scan, or pulmonary angiogram. To compare the frequency of PE diagnosis across alternative diagnoses, risk ratios, 95% confidence intervals (CI), and p-values using Fisher's exact test were calculated.", 'Six hundred seven patients were enrolled, and 61 had PE. Physicians thought PE was the most likely pretest diagnosis in 162 (26.7%) patients, and 20.4% (95% CI = 14.4% to 27.4%) of these patients had PE. For four alternative diagnoses, PE was diagnosed less frequently than when PE was considered most likely: musculoskeletal pain (2.2%, 95% CI = 0.4% to 6.2%), anxiety (1.7%, 95% CI = 0.0 to 9.2%), asthma or chronic obstructive pulmonary disease (0, 95% CI = 0.0 to 10.9%), and viral syndrome (0, 95% CI = 0.0 to 14.3%).
Example Output:
Is the probability of pulmonary embolism a function of the diagnoses considered most likely before testing?