Kyla Dalusag
Outcomes Research Nurse, Surgery - Pediatric Surgery
Education & Certifications
-
B.S.N., The George Washington University, Nursing (2018)
-
B.S., Santa Clara University, Biochemistry (2013)
All Publications
-
Increasing Amount of Hair Reduction Using Laser Correlates With Lower Probability of Recurrence in Patients With Pilonidal Disease.
Journal of pediatric surgery
2023
Abstract
BACKGROUND: Hair at the gluteal cleft plays a key role in the development and recurrence of pilonidal disease (PD). We hypothesized that more hair reduction achieved using laser could correlate with lower chance of PD recurrence.METHODS: PD patients who underwent laser epilation (LE) were categorized by Fitzpatrick skin type, hair color, and hair thickness. Photos taken at LE sessions were compared to determine hair reduction amount. LE sessions completed prior to the recurrences were recorded. Groups were compared using multivariate T-test.RESULTS: 198 PD patients had mean age 18.1±3.6 years. 21, 156, and 21 patients had skin types 1/2, 3/4, and 5/6, respectively. 47 patients had light- and 151 had dark-colored hair. 29 patients had fine hair, 129 medium, and 40 thick. Median follow-up was 217 days. 95%, 70%, 40%, and 19% of patients reached 20%, 50%, 75%, and 90% hair reduction after mean LE sessions of 2.6, 4.3, 6.6, 7.8 sessions, respectively. To reach 75% hair reduction, patients require a mean of 4.8-6.8 LE sessions, depending on different skin/hair characteristics. PD recurrence rate was 6%. Probability of recurrence after 20%, 50%, 75% hair reduction was decreased by 50%, 78%, 100%, respectively. Dark hair and skin type 5/6 were associated with higher recurrence rates.CONCLUSION: Patients with dark-color and thick hair require more LE sessions to achieve certain degree of hair reduction. Patients with dark hair and skin type 5/6 were more likely to recur; more hair reduction correlated with lower chance of recurrence.LEVEL OF EVIDENCE: Level IV.
View details for DOI 10.1016/j.jpedsurg.2023.02.054
View details for PubMedID 36934004
-
304 Let Kids Play: Using Virtual Reality as a Substitute for General Anesthesia for Minor Procedures in Children
Journal of Clinical Translational Science
2023
View details for DOI 10.1017/cts.2023.357
-
Outreach and online training services at the Saccharomyces Genome Database
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
2017
Abstract
The Saccharomyces Genome Database (SGD; www.yeastgenome.org ), the primary genetics and genomics resource for the budding yeast S. cerevisiae , provides free public access to expertly curated information about the yeast genome and its gene products. As the central hub for the yeast research community, SGD engages in a variety of social outreach efforts to inform our users about new developments, promote collaboration, increase public awareness of the importance of yeast to biomedical research, and facilitate scientific discovery. Here we describe these various outreach methods, from networking at scientific conferences to the use of online media such as blog posts and webinars, and include our perspectives on the benefits provided by outreach activities for model organism databases.http://www.yeastgenome.org.
View details for DOI 10.1093/database/bax002
View details for Web of Science ID 000397529600002
View details for PubMedID 28365719
-
The Saccharomyces Genome Database Variant Viewer.
Nucleic acids research
2016; 44 (D1): D698-702
Abstract
The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org) is the authoritative community resource for the Saccharomyces cerevisiae reference genome sequence and its annotation. In recent years, we have moved toward increased representation of sequence variation and allelic differences within S. cerevisiae. The publication of numerous additional genomes has motivated the creation of new tools for their annotation and analysis. Here we present the Variant Viewer: a dynamic open-source web application for the visualization of genomic and proteomic differences. Multiple sequence alignments have been constructed across high quality genome sequences from 11 different S. cerevisiae strains and stored in the SGD. The alignments and summaries are encoded in JSON and used to create a two-tiered dynamic view of the budding yeast pan-genome, available at http://www.yeastgenome.org/variant-viewer.
View details for DOI 10.1093/nar/gkv1250
View details for PubMedID 26578556
View details for PubMedCentralID PMC4702884
-
Integration of new alternative reference strain genome sequences into the Saccharomyces genome database.
Database : the journal of biological databases and curation
2016; 2016
Abstract
The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) is the authoritative community resource for the Saccharomyces cerevisiae reference genome sequence and its annotation. To provide a wider scope of genetic and phenotypic variation in yeast, the genome sequences and their corresponding annotations from 11 alternative S. cerevisiae reference strains have been integrated into SGD. Genomic and protein sequence information for genes from these strains are now available on the Sequence and Protein tab of the corresponding Locus Summary pages. We illustrate how these genome sequences can be utilized to aid our understanding of strain-specific functional and phenotypic differences.Database URL: www.yeastgenome.org.
View details for DOI 10.1093/database/baw074
View details for PubMedID 27252399
View details for PubMedCentralID PMC4888754