In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

[Q]: Objective: The aim of this study was to further clarify clinical characteristics and predict mortality risk among patients with viral pneumonia. Methods: A total of 528 patients with viral pneumonia at RuiJin hospital in Shanghai from May 2015 to May 2019 were recruited. Multiplex real-time RT-PCR was used to detect respiratory viruses. Demographic information, comorbidities, routine laboratory examinations, immunological indexes, etiological detections, radiological images and treatment were collected on admission. Results: 76 (14.4%) patients died within 90 days in hospital. A predictive MuLBSTA score was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included multilobular infiltrates (OR = 5.20, 95% CI 1.41-12.52, p = 0.010; 5 points), lymphocyte 0.8 * 10 9 /L (OR = 4.53, 95% CI 2.55-8.05, p < 0.001; 4 points), bacterial coinfection (OR = 3.71, 95% CI 2.11-6.51, p < 0.001; 4 points), acute-smoker (OR = 3.19, 95% CI 1.34-6.26, p = 0.001; 3 points), quit-smoker (OR = 2.18, 95% CI 0.99-4.82, p = 0.054; 2 points), hypertension (OR = 2.39, 95% CI 1.55-4.26, p = 0.003; 2 points) and age 60 years (OR = 2.14, 95% CI 1.04-4.39, p = 0.038; 2 points). 12 points was used as a cut-off value for mortality risk stratification. This model showed sensitivity of 0.776, specificity of 0.778 and a better predictive ability than CURB-65 (AUROC = 0.773 vs. 0.717, p < 0.001). Conclusion: Here, we designed an easy-to-use clinically predictive tool for assessing 90-day mortality risk of viral pneumonia. It can accurately stratify hospitalized patients with viral pneumonia into relevant risk categories and could provide guidance to make further clinical decisions.
[A]: Citation: Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score

[Q]: Fifty-five volunteers treated with either intranasal recombinant interferon (rIFN; 2 x 10 6 IV/day) or placebo for 15 days were exposed to coronavirus by direct intranasal inoculation on the eighth day of treatment. Symptom scores were recorded, and cultures of virus were taken daily for all volunteers for seven days after inoculation. Nineteen (73%) of the 26 placebo recipients met symptom-score criteria for a cold, compared with 12 (41070) of the IFN recipients (P = .02). The mean nasal symptom scores in the placebo and IFN groups were 9.2 and 5.4, respectively (P = .03), and the mean total symptom scores in the two groups were 23.2 and 9.4, respectively (P = .003). The mean number of days with a total symptom score >4 was 1.6 in the placebo recipients and 0.5 in the rIFN recipients (P = .02). Prophylactic intranasal rIFN effectively shortened the duration and reduced the severity of coronavirus cold symptoms.
[A]: Prevention of Experimental Coronavirus Colds with Intranasal (l-2b Interferon

[Q]: Insensitivity and technical complexity have impeded the implementation of high-throughput nucleic acid sequencing in differential diagnosis of viral infections in clinical laboratories. Here, we describe the development of a virome capture sequencing platform for vertebrate viruses (VirCapSeq-VERT) that increases the sensitivity of sequence-based virus detection and characterization. The system uses~2 million probes that cover the genomes of members of the 207 viral taxa known to infect vertebrates, including humans. A biotinylated oligonucleotide library was synthesized on the NimbleGen cleavable array platform and used for solution-based capture of viral nucleic acids present in complex samples containing variable proportions of viral and host nucleic acids. The use of VirCapSeq-VERT resulted in a 100-to 10,000-fold increase in viral reads from blood and tissue homogenates compared to conventional Illumina sequencing using established virus enrichment procedures, including filtration, nuclease treatments, and RiboZero rRNA subtraction. VirCapSeq-VERT had a limit of detection comparable to that of agent-specific real-time PCR in serum, blood, and tissue extracts. Furthermore, the method identified novel viruses whose genomes were approximately 40% different from the known virus genomes used for designing the probe library. The VirCapSeq-VERT platform is ideally suited for analyses of virome composition and dynamics. IMPORTANCE VirCapSeq-VERT enables detection of viral sequences in complex sample backgrounds, including those found in clinical specimens, such as serum, blood, and tissue. The highly multiplexed nature of the system allows both the simultaneous identification and the comprehensive genetic characterization of all known vertebrate viruses, their genetic variants, and novel viruses. The operational simplicity and efficiency of the VirCapSeq-VERT platform may facilitate transition of high-throughput sequencing to clinical diagnostic as well as research applications. Citation Briese T, Kapoor A, Mishra N, Jain K, Kumar A, Jabado OJ, Lipkin WI. 2015. Virome capture sequencing enables sensitive viral diagnosis and comprehensive virome analysis. mBio 6(5):e01491-15.
[A]:
Virome Capture Sequencing Enables Sensitive Viral Diagnosis and Comprehensive Virome Analysis