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: With advances in medicine, the subjective assessment of patients on hemodialysis regarding their quality of life (QOL) is gaining importance. Clinicians cannot rely solely on objective markers, such as the rates of complications and mortality, when evaluating responses to dialysis. In clinical settings, laboratory values are used as measures of patients' health. However, the relationship between clinical laboratory values and QOL has not been elucidated yet. Therefore, the present study aimed to define the relationship of laboratory values and patient attributes to the QOL of outpatients on hemodialysis in order to obtain basic data for reevaluating nursing support for patients on hemodialysis in the future.", 'The participants were 44 outpatients receiving hemodialysis at Hospital B. The QOL was surveyed using a self-administered questionnaire, the Kidney Disease Quality of Life Short Form. The following patient attributes and laboratory values were taken from the medical records: age; sex; primary disease; number of years on hemodialysis; complications; number of hours of hemodialysis per session; percentage weight gain; cardiothoracic ratio; blood pressure; hematocrit; and the serum levels of albumin, potassium, phosphorus, and calcium.', 'The serum potassium level significantly affected mental health, social functioning, symptoms, and the effect of kidney disease, with the 3.5-5.0 mEq/L target range group scoring higher than the > or =5.1 mEq/L group.
Example Output: Does the relationship of clinical laboratory parameters and patient attribute to the quality of life of patients on hemodialysis?

Example Input: Although moderate (conscious) sedation is intended during elective gastrointestinal endoscopy, unintended levels of deep sedation occur. The aims of this study were to prospectively evaluate the incidence and risk factors of deep sedation during elective endoscopy with meperidine and midazolam intended to maintain a level of moderate sedation.', "Eighty American Society of Anesthesiology class 1-2, outpatients presenting for elective esophagogastroduodenoscopy (EGD), colonoscopy, endoscopic retrograde cholangiopancreatography (ERCP), and endoscopic ultrasonography (EUS) were offered enrollment. Intravenous meperidine and midazolam were administered according to a standardized protocol. Hemodynamic parameters and levels of sedation were assessed and recorded by a single observer at 3-min intervals. The Modified Observer's Assessment of Alertness/Sedation (MOAA/S) scale (ranging 1-5) is a subjective sedation assessment scale used to assess sedation levels. Occurrence of deep sedation, defined by MOAA/S 1-2, was recorded. Univariable and multivariable analyses were used to assess predictors of deep sedation.", 'Deep sedation occurred in 54/80 (68%) patients for a total of 204/785 (26%) of total sedation assessments. The percentage of deep sedation episodes of all sedation-level observations by procedure was 26% for EGD, 11% for colonoscopy, 35% for ERCP, and 29% for EUS. Deep sedation occurred at least once in 60% of EGD, 45% of colonoscopy, 85% of ERCP, and 80% of EUS. Multivariable analysis showed that only ERCP and EUS were independent risk factors of deep sedation.
Example Output: Does deep sedation occur frequently during elective endoscopy with meperidine and midazolam?

Example Input: Next-generation sequencing (NGS) allows for sampling numerous viral variants from infected patients. This provides a novel opportunity to represent and study the mutational landscape of Hepatitis C Virus (HCV) within a single host.', 'Intra-host variants of the HCV E1/E2 region were extensively sampled from 58 chronically infected patients. After NGS error correction, the average number of reads and variants obtained from each sample were 3202 and 464, respectively. The distance between each pair of variants was calculated and networks were created for each patient, where each node is a variant and two nodes are connected by a link if the nucleotide distance between them is 1. The work focused on large components having > 5% of all reads, which in average account for 93.7% of all reads found in a patient.
Example Output:
Does next-generation sequencing reveal large connected networks of intra-host HCV variants?