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.

Example Input: Context: We aimed to study the association between cytomegalovirus (CMV) infection and hypertension in Kazakh and Han populations from Xinjiang Province, China.', 'We analyzed data on 800 Kazakhs (467 hypertension patients and 333 healthy control participants) and 800 Hans (482 hypertension patients and 318 healthy control participants) aged 18-84 years old. ELISA and real-time quantitative PCR coupled with restriction fragment length polymorphism analysis were applied for determining CMV infection and glycoprotein B (gB) genotypes, respectively.', 'Serologic evidence of CMV infection was obtained for 95.4% and 90.1% of the Kazakhs and Hans, respectively. The CMV seroprevalence rates among the Kazakh and Han participants with hypertension were 96.8% and 89.8%, respectively. Multiple logistic regression analyses revealed statistically significant independent associations between CMV seropositivity and hypertension in Kazakh males and between CMV antibody titers and hypertension in Hans; significant relationships also existed between CMV antibody titers and blood pressure in Hans. In Kazakhs, 3 CMV gB genotypes were identified: gB2 and genotype mixtures gB1+gB2 and gB2+gB3. In Hans, 4 CMV gB genotypes were identified: gB1, gB2, gB1+gB2, and gB2+gB3. Of the 4 studied genotypes, gB2+gB3 showed a significant independent association with hypertension in Kazakh females.\Question: Is human cytomegalovirus infection associated with essential hypertension in Kazakh and Han Chinese populations?
Example Output: CMV infection is associated with essential hypertension in Kazakh males and Hans in Xinjiang. CMV seropositivity is associated with hypertension in Kazakh males, and CMV antibody titers are associated with blood pressure and hypertension in Han males and females. Moreover, the CMV gB2+gB3 genotype mixture is associated independently with essential hypertension in Kazakh females.

Example Input: Context: Women diagnosed with pregnancy-associated breast cancer postpartum have a worse prognosis, stage for stage, than other women with breast cancer. The time of breast involution is tumor promotional. The extracellular matrix protein tenascin-C is upregulated during involution in animal models and promotes breast cancer progression. It interacts with transforming growth factor (TGF), which also is involved in breast involution and breast cancer progression. Little is known about the expression of tenascin-C during human breast involution, nor its relationship to TGF. The purpose of this study was to investigate the expression of tenascin-C throughout lactation, as well as its relationship to TGF1 and TGF2.', 'Three milk samples from 25 lactating women (transitional, whole, and wean) were collected, separated into components (cells, fat, and skim), and the skim fraction analyzed for total protein, tenascin-C, TGF1, and TGF2. Tenascin-C, TGF1, and TGF2 were detectable in all milk samples.', 'Highest tenascin-C levels on average were found in whole milk, whereas highest mean TGF1 and TGF2 levels were in wean milk. Wean samples on average had higher levels of both TGF1 (26%) and TGF2 (>500%) than matched transitional milk samples. Tenascin-C levels in wean milk were associated with nursing length (p = 0.048). Combining all three milk collection time points, tenascin-C exhibited a weak inverse correlation with TGF1 and TGF2 (p < 0.1). The inverse correlation at the wean time point was stronger for TGF2 than -1 (-0.37 versus -0.25). Tenascin-C, a protein known to promote breast cancer progression, is expressed throughout lactation.\Question: Does expression of the Extracellular Matrix Protein Tenascin-C vary During Lactation?
Example Output: The inverse correlation with TGF2 in wean milk suggests a possible interaction during breast involution, which should be further investigated.

Example Input: Context: Hypotension increases mortality after all types of injuries. Prior studies comparing mortality of hypotensive traumatic brain injury (TBI) patients to normotensive TBI patients have implied that hypotension is particularly detrimental after TBI. It is unknown whether hypotension affects TBI patients more severely than it affects other types of patients. We hypothesized that hypotension does not increase mortality in TBI patients more than it does in non-TBI patients.', 'National Trauma Data Bank (1994-2002) patients aged 18 to 45 years with blunt mechanisms of injury treated at Level I and Level II centers were included. Deaths occurring before 24 hours were excluded. Logistic regression was used to measure the association between hypotension (< or =90 mm Hg) and death after adjusting for confounding variables of age, gender, comorbidities, complications, Glasgow Coma Scale score, and severity of associated injuries. Odds ratios (95% confidence interval) indicate the risk of death in hypotensive patients in each group compared with normotensive patients in the same group.', 'The study population consisted of 79,478 patients (TBI, 30,742; no TBI, 48,736). Hypotension independently quadrupled the risk of death after adjusting for confounding variables (odds ratio [OR], 4.8; 95% confidence interval [CI], 4.1-5.6). However, increase in this risk associated with hypotension was the same in TBI (OR, 4.1; 95% CI, 3.5-4.9) and non-TBI patients (OR, 4.6; 95% CI, 3.4-6.0). Furthermore, the relationship between hypotension and TBI did not change with increasing head Abbreviated Injury Scale score severity.\Question: Does hypotension increase mortality in brain-injured patients more than it does in non-brain-injured Patients?
Example Output:
Hypotension is an independent risk factor for mortality. However, it does not increase mortality in TBI patients more than it does for non-TBI patients.