In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

[EX Q]: Paragraph: Background: The purpose of this study is to determine the incidence and significance of hypouricemia in patients with severe acute respiratory syndrome (SARS). Pulmonary lesions in patients with SARS are thought to result from proinflammatory cytokine dysregulation. Acute renal failure has been reported in patients with SARS, but whether cytokines can injure renal tubules is unknown. Methods: Sixty patients diagnosed with SARS in Taiwan in April 2003 were studied. Patients were identified as hypouricemic when their serum uric acid (UA) level was less than 2.5 mg/dL (<149 mol/L) within 15 days after fever onset. Urine UA and creatinine levels were available for 43 patients; the serum cytokines interleukin-6 (IL-6), IL-8, and tumor necrosis factor- (TNF-) were measured in 16 patients. Results: Sixteen patients (26.7%) had hypouricemia (UA, 1.68 0.52 mg/dL [100 31 mol/L]). No differences in age, sex, symptoms, vital signs, hemogram, or other biochemistry data existed between the hypouricemic and normouricemic groups. Fractional excretion (FE) of UA (FE UA ) in 12 hypouricemic patients was 39.6% 23.4%, significantly greater than that of 31 normouricemic patients (16.4% 11.4%; P < 0.0001). After adjustments for age and sex, high FE UA was significantly associated with the lowest blood oxygenation (P 0.001; r 0.624). The number of catastrophic outcomes (endotracheal intubation and/or death) adjusted for older age and sex showed that hypouremic patients had an odds ratio of 10.57 (confidence interval, 2.33 to 47.98; P 0.002). Kaplan-Meier curves for catastrophic outcome-free results showed significant differences between patients with normouricemia or hypouricemia (P 0.01). Serum IL-8 levels correlated significantly with FE UA (P < 0.001; r 0.785) and inversely with serum UA level (P 0.044; r 0.509); neither IL-6 nor TNF- level showed such correlations. Conclusion: One fourth of patients with SARS developed hypouricemia, which might result from a defect in renal UA handling and was associated with a high serum IL-8 level. Renal hypouricemia is an ominous sign in patients with SARS. Am J Kidney Dis 45:88 -95.
Title: Renal Hypouricemia Is an Ominous Sign in Patients With Severe Acute Respiratory Syndrome
[EX A]: True

[EX Q]: Paragraph: The observations that Lymphopenia is common in severe acute respiratory syndrome (SARS) patients and that peripheral blood mononuclear cell (PBMC) could be infected by SARS-CoV indicate that PBMC could be useful in identifying the gene expression profile in convalescent patients and tracing the host response to SARS-CoV infection. In this study, the altered genes expressions in the PBMC of convalescent SARS patients were investigated with suppression subtractive hybridization (SSH). We found that genes encoded by mitochondrial DNA (mtDNA) were obviously upregulated, while mitochondria were now found to be closely connected with antiviral immunity. The identification of a viral gene, M, in SSH cDNA library shows the long-term existence of SARS-CoV in vivo. In addition, some oxidative stress sensitive genes, heat shock proteins, transcription factors, and cytokines showed remarkable elevation. Thin-section electron microscope shows increased lysosome-like granule and mitochondria in PBMC of patients. These results provide important intracellular clue for tracing host response to SARS-CoV infection and suggest a role of mitochondria in that process.
Title: Upregulation of Mitochondrial Gene Expression in PBMC from Convalescent SARS Patients
[EX A]: True

[EX Q]: Paragraph: Background: Mathematical and statistical models are used to project the future time course of infectious disease epidemics and the expected future burden on health care systems and economies. Influenza is a particularly important disease in this context because it causes annual epidemics and occasional pandemics. In order to forecast health care utilization during epidemics-and the effects of hospitalizations and deaths on the contact network and, in turn, on transmission dynamics-modellers must make assumptions about the lengths of time between infection, visiting a physician, being admitted to hospital, leaving hospital, and death. More reliable forecasts could be be made if the distributions of times between these types of events ("delay distributions") were known. Methods: We estimated delay distributions in the province of Ontario, Canada, between 2006 and 2010. To do so, we used encrypted health insurance numbers to link 1.34 billion health care billing records to 4.27 million hospital inpatient stays. Because the four year period we studied included three typical influenza seasons and the 2009 influenza pandemic, we were able to compare the delay distributions in non-pandemic and pandemic settings. We also estimated conditional probabilities such as the probability of hospitalization within the year if diagnosed with influenza. Results: In non-pandemic [pandemic] years, delay distribution medians (inter-quartile ranges) were: Service to Admission 6.3 days (0.1-17.6 days) [2.4 days (-0.3-13.6 days)], Admission to Discharge 3 days (1.4-5.9 days) [2.6 days (1.2-5.1 days)], Admission to Death 5.3 days (2.1-11 days) [6 days (2.6-13.1 days)]. (Service date is defined as the date, within the year, of the first health care billing that included a diagnostic code for influenza-like-illness.) Among individuals diagnosed with either pneumonia or influenza in a given year, 19% [16%] were hospitalized within the year and 3% [2%] died in hospital. Among all individuals who were hospitalized, 10% [12%] were diagnosed with pneumonia or influenza during the year and 5% [5%] died in hospital. Conclusion: Our empirical delay distributions and conditional probabilities should help facilitate more accurate forecasts in the future, including improved predictions of hospital bed demands during influenza outbreaks, and the expected effects of hospitalizations on epidemic dynamics.
Title: Patterns of seasonal and pandemic influenza-associated health care and mortality in Ontario, Canada
[EX A]:
False