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.

Clinical predictors associated with acute paraquat (PQ) poisoning have not been systematically studied.', 'To identify independent predictors of death in patients with acute PQ poisoning.', 'This is a retrospective study executed in the emergency department of a university hospital. One hundred three consecutive patients poisoned with PQ between January 1999 and December 2004 were enrolled. Urine PQ concentration, electrolyte and renal function, detailed history, and Acute Physiology and Chronic Health Evaluation II were extracted from medical records. The outcome measure was 30-day mortality. Multivariate analysis was done by Cox-proportional hazard regression model. Receiver operating characteristics area under the curve was calculated for selected predictors.', 'The crude 30-day mortality was 67.9% (70 of 103). Independent predictors of death were acute renal failure (hazard ratio, 3.53; 95% confidence interval, 1.97-6.32), hypokalemia (2.07, 1.21-3.51), hypothermia (2.91, 1.67-5.07), suicide (2.11, 1.04-4.29), and self-reported ingested dose (2.06, 1.38-3.06). The receiver operating characteristics area under the curve of serum potassium concentrations, maximal urine PQ concentrations, and Acute Physiology and Chronic Health Evaluation II scores were 0.75 (95% confidence interval, 0.60-0.81), 0.71 (0.66-0.84), and 0.80 (0.71-0.88), respectively. Under the cutoff value of 3.6 mEq/L, hypokalemia had a sensitivity of 75% and specificity of 54% in predicting mortality.
Are hypokalemia and hypothermia associated with 30-day mortality in patients with acute paraquat poisoning?

The scope of this work was to study synergism between human papillomavirus (HPV) infection and tobacco in vitro, both known to be independent risk factors for oral cancer.', 'HPV-positive and HPV-negative oral keratinocytes and oral HPV-negative fibroblasts were exposed to smokeless tobacco extract (STE) prepared from the Scandinavian (STE1) and US-type (STE2) snuff. Cell cycle profiles were determined with flow cytometry, and HPV E6/E7 mRNA expression in HPV-positive cells was assayed using RT-qPCR.', 'The exposure of HPV-positive keratinocytes with STE2 increased the number of aneuploid cells from 27% to 80% of which 44% were in S-phase, while none of the diploid cells were in S-phase. The changes after STE1 exposure were less than seen after STE2: from 27% to 31% of which 34% were in S-phase. STE had no effect on HPV16 E6/E7 expression in HPV-positive keratinocytes. In oral spontaneously transformed, HPV-negative keratinocytes, the number of aneuploid cells at G2-M stage increased after STE1 and STE2 exposure from 3% to 9% and 7%, respectively. In HPV-negative oral fibroblasts, the number of cells at G2-M phase increased from 11% to 21% after STE1 and 29% after STE2 exposure.
Does smokeless tobacco increase aneuploidy in oral HPV16 E6/E7-transformed keratinocytes in vitro?

The association between blood types and ovarian reserve is investigated in this study.', "As an index of ovarian reserve, women with a follicle stimulat- ing hormone (FSH) level of 10 mIU/ml in the early follicular phase were designated as having diminished ovarian reserve. In this prospective study, early follicular phase serum FSH and estradiol levels and blood types were evaluated in 500 patients who were admitted to the Infertility Department of Ministry of Health Etlik Zubeyde Hanm Women's Health Training and Research Hospital between January 2012 and June 2012. Women with serum FSH level <10 mIU/ml formed group I, and women with serum FSH 10 mIU/ml formed group II. The prevalence of blood types in each group and their associa- tion with ovarian reserve were analyzed.", 'Out of 500 patients, 438 women were in group I, while 62 women were in group II. There was no statistically significant difference among the two groups in terms of blood group proportions (p=0.69), this did not change after age adjustment (p=0.77). The presence of A antigen (in A and AB blood type) (p=0.91), the blood type O (p=0.70), and the blood type B (p=0.51) were not statistically related to ovarian reserve after age adjustment. There was also no statistically significant correlation between rhesus factor and ovarian reserve after age adjustment (p=0.83). The only factor that affected ovarian reserve was age of patients (p=0.006).
Is only female age , and not blood type , associated with ovarian reserve?