Dataset Information

Recurrence of Subdural Haematoma in a Population-Based Cohort - Risks and Predictive Factors.

ABSTRACT:

Objectives

To estimate the risks of and identify predictors for recurrent subdural haematoma in surgically and conservatively treated patients.

Methods

The cohort comprised all individuals diagnosed with a first-time subdural hematoma in Denmark 1996-2011. Information on potential predictors was retrieved from the Danish health registers. Cumulative recurrence risks were estimated using the Aalen-Johansen estimator. Rate ratios (RR) were estimated using Poisson regression.

Results

Among 10,158 individuals with a subdural hematoma, 1,555 had a recurrent event. The cumulative risk of recurrent subdural hematoma was 9% at 4 weeks after the primary bleeding, increasing to and stabilising at 14% after one year. Predictors associated with recurrence were: Male sex (RR 1.60, 95% CI:1.43-1.80), older age (>70 years compared to 20-49 years; RR 1.41, 95% CI: 1.21-1.65), alcohol addiction (RR 1.20, 95% CI:1.04-1.37), surgical treatment (RR 1.76, 95% CI:1.58-1.96), trauma diagnoses (RR 1.14, 95% CI:1.03-1.27), and diabetes mellitus (RR 1.40, 95% CI:1.11-1.74). Out of a selected combination of risk factors, the highest cumulative 1-year recurrence risks for subdural hematoma of 25% (compared to 14% for all patients) was found in surgically treated males with diabetes mellitus.

Conclusions

The recurrence risk of subdural hematoma is largely limited to the first year. Patient characteristics including co-morbidities greatly influence the recurrence risk of SDH, suggesting that individualized prognostic guidance and follow-up is needed.

SUBMITTER: Schmidt L

PROVIDER: S-EPMC4605528 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Recurrence of Subdural Haematoma in a Population-Based Cohort - Risks and Predictive Factors.

Schmidt Linnea L Gørtz Sanne S Wohlfahrt Jan J Melbye Mads M Munch Tina Noergaard TN

PloS one 20151014 10

<h4>Objectives</h4>To estimate the risks of and identify predictors for recurrent subdural haematoma in surgically and conservatively treated patients.<h4>Methods</h4>The cohort comprised all individuals diagnosed with a first-time subdural hematoma in Denmark 1996-2011. Information on potential predictors was retrieved from the Danish health registers. Cumulative recurrence risks were estimated using the Aalen-Johansen estimator. Rate ratios (RR) were estimated using Poisson regression.<h4>Resu ...[more]

PMID: 26465602

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Project description:The current criteria for defining the recurrence risks of stage II colorectal cancer (CRC) are not robust; therefore, we aimed to explore novel gene signatures to predict recurrence risks and to reveal the underlying mechanisms of stage II CRC. First, the gene expression profiles of 124 patients with stage II CRC from The Cancer Genome Atlas (TCGA) database were obtained to screen differentially expressed genes (DEGs). A total of 202 DEGs, including 128 upregulated and 74 downregulated, were identified in the recurrence group (n = 24) compared to the nonrecurrence group (n = 100). Furthermore, the top 5 DEGs (ZNF561, WFS1, SLC2A1, MFI2, and PTGR1) were identified by random forest variable hunting, and four (ZNF561, WFS1, SLC2A1, and PTGR1) were selected to create a four-gene recurrent model (GRM), with an area under the curve (AUC) of 0.882 according to the receiver operating characteristic curve, and the robust diagnostic effectiveness of the GRM was further validated with another gene expression profiling dataset (GSE12032), with an AUC of 0.943. The diagnostic effectiveness of the GRM regarding recurrence was associated with poor disease-free survival in all stages of CRC. In addition, gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses revealed 18 enriched functions and 6 enriched pathways. Four genes, ABCG2, CACNA1F, CYP19A1, and TF, were identified as hub genes by the protein-protein interaction network, which further validated that these genes were correlated with a poor pathologic stage and overall survival in all stages of CRC. In conclusion, the GRM can effectively classify stage II CRC into groups of high and low risks of recurrence, thereby making up for the prognostic value of the traditional clinicopathological risk factors defined by the National Comprehensive Cancer Network guidelines. The hub genes may be useful therapeutic targets for recurrence. Thus, the GRM and hub genes could offer clinical value in directing individualized and precision therapeutic regimens for stage II CRC patients.

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Dataset Information

Recurrence of Subdural Haematoma in a Population-Based Cohort - Risks and Predictive Factors.

Objectives

Methods

Results

Conclusions

Publications

Recurrence of Subdural Haematoma in a Population-Based Cohort - Risks and Predictive Factors.

Similar Datasets

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