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Biomedical subjects

Amy K Hsu

Publications and source records attributed to Amy K Hsu.

2 recordsLinked to original sources

Quality of life and complications following image-guided endoscopic sinus surgery.

OBJECTIVES: To compare the quality of life (QOL) outcome and incidence of complications following image-guided versus non-image-guided endoscopic sinus surgery (ESS). STUDY DESIGN: The operative, office, and hospital charts of patients who underwent primary ESS for chronic sinusitis by a single surgeon with (2002-2005) or without (1997-2002) image guidance were reviewed for patient demographics, incidence of complications, and revision procedures. A telephone survey was used to administer the QOL survey to both cohorts. RESULTS: In comparing patients who underwent image-guided (60) versus non-image-guided surgery (179), respectively, there was no statistically significant difference in the incidence of major intraoperative complications (6.6% vs 5.6%), major postoperative complications (5% vs 3.9%), revision procedures (6.6% vs 7.3%), and postoperative SNOT-20 symptom scores (23.6 vs 23.4). A higher incidence of intraoperative cerebrospinal fluid leak was noted in the non-image-guided group (0% vs 2.2%). CONCLUSIONS: Our study does not demonstrate an improvement in the incidence of complications, need for revision procedures, or quality-of-life outcome for patients undergoing primary ESS for chronic sinusitis. The use of image guidance may result in a lower incidence of skull base trauma and cerebrospinal fluid leak. EBM RATING: B-2b.

Adolescent↗

Coexpression analysis of human genes across many microarray data sets.

We present a large-scale analysis of mRNA coexpression based on 60 large human data sets containing a total of 3924 microarrays. We sought pairs of genes that were reliably coexpressed (based on the correlation of their expression profiles) in multiple data sets, establishing a high-confidence network of 8805 genes connected by 220,649 "coexpression links" that are observed in at least three data sets. Confirmed positive correlations between genes were much more common than confirmed negative correlations. We show that confirmation of coexpression in multiple data sets is correlated with functional relatedness, and show how cluster analysis of the network can reveal functionally coherent groups of genes. Our findings demonstrate how the large body of accumulated microarray data can be exploited to increase the reliability of inferences about gene function.

Cluster Analysis↗