6 research outputs found

    Intracranial Pressure is a Better Predictor of Mortalitythan Cerebral Perfusion Pressure

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    Objective: To evaluate whether elevated intracranial pressure (ICP) or depressed cerebral perfusion pressure (CPP) is a better predictor of intracranial compartment syndrome and long-term functional outcomes in blunt traumatic brain injury. Methods: This was a retrospective evaluation of data collected on 203 patients with blunt traumatic brain injury who were admitted to Miami Valley Hospital, a Level I trauma center, over a 2 years period, whose initial hospital management required an intracranial pressure monitor. Serial measurements of ICP and CPP were recorded during the patients’ hospital stay. These patients were then evaluated at 3,6,12 and 24 months post-injury to assess their outcome based on functional status, as defined by death vegetative state, severe disability, moderate disability and good recovery. Results: Utilizing an ICP cut-off value of 25 or greater and a CPP value of less than 60 at any point during the patients’ hospital course, ICP elevation consistently correlated with a higher percentage of deaths and persistent vegetative state than a depression in CPP value. Outcomes as measured by severe or moderate disability where similar in both groups. However, neither measure approached statistical significance. Conclusion: ICP appears to be a better predictor of intracranial compartment syndrome and extent of brain injury, predicting better than CPP values, the outcome of death or persistent vegetative state. This may help to predict prognosis, change management strategies and guide discussions with family, especially in the early phase of injur

    Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

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    Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

    Intracranial Pressure is a Better Predictor of Mortalitythan Cerebral Perfusion Pressure

    No full text
    Objective: To evaluate whether elevated intracranial pressure (ICP) or depressed cerebral perfusion pressure (CPP) is a better predictor of intracranial compartment syndrome and long-term functional outcomes in blunt traumatic brain injury. Methods: This was a retrospective evaluation of data collected on 203 patients with blunt traumatic brain injury who were admitted to Miami Valley Hospital, a Level I trauma center, over a 2 years period, whose initial hospital management required an intracranial pressure monitor. Serial measurements of ICP and CPP were recorded during the patients’ hospital stay. These patients were then evaluated at 3,6,12 and 24 months post-injury to assess their outcome based on functional status, as defined by death vegetative state, severe disability, moderate disability and good recovery. Results: Utilizing an ICP cut-off value of 25 or greater and a CPP value of less than 60 at any point during the patients’ hospital course, ICP elevation consistently correlated with a higher percentage of deaths and persistent vegetative state than a depression in CPP value. Outcomes as measured by severe or moderate disability where similar in both groups. However, neither measure approached statistical significance. Conclusion: ICP appears to be a better predictor of intracranial compartment syndrome and extent of brain injury, predicting better than CPP values, the outcome of death or persistent vegetative state. This may help to predict prognosis, change management strategies and guide discussions with family, especially in the early phase of injur

    Multiple loci on 8q24 associated with prostate cancer susceptibility

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    Previous studies have identified multiple loci on 8q24 associated with prostate cancer risk. We performed a comprehensive analysis of SNP associations across 8q24 by genotyping tag SNPs in 5,504 prostate cancer cases and 5,834 controls. We confirmed associations at three previously reported loci and identified additional loci in two other linkage disequilibrium blocks (rs1006908: per-allele OR = 0.87, P = 7.9 x 10(-8); rs620861: OR = 0.90, P = 4.8 x 10(-8)). Eight SNPs in five linkage disequilibrium blocks were independently associated with prostate cancer susceptibility

    Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

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    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. To identify common PrCa susceptibility alleles, we have previously conducted a genome-wide association study in which 541, 129 SNPs were genotyped in 1,854 PrCa cases with clinically detected disease and 1,894 controls. We have now evaluated promising associations in a second stage, in which we genotyped 43,671 SNPs in 3,650 PrCa cases and 3,940 controls, and a third stage, involving an additional 16,229 cases and 14,821 controls from 21 studies. In addition to previously identified loci, we identified a further seven new prostate cancer susceptibility loci on chromosomes 2, 4, 8, 11, and 22 (P=1.6×10−8 to P=2.7×10−33)
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