Biomedical subjects

Brian Y Kim

Publications and source records attributed to Brian Y Kim.

3 recordsLinked to original sources

PubMed2006

Optical coherence tomographic patterns of diabetic macular edema.

PURPOSE: To describe various morphologic patterns of diabetic macular edema (DME) demonstrated by optical coherence tomography (OCT) and correlate them with visual acuity. DESIGN: Retrospective, observational, case series. METHODS: A retrospective review of all patients with DME who underwent OCT evaluation and met the study inclusion criteria between May 1998 and December 2002 at the Cole Eye Institute was performed. The OCT scans were evaluated for the presence of diffuse retinal thickening (DRT), cystoid macular edema (CME), posterior hyaloidal traction (PHT), serous retinal detachment (SRD), and traction retinal detachment (TRD). Additionally, the retinal thickness was measured and visual acuity evaluated. RESULTS: Two hundred seventy-six OCT scans of 164 eyes of 119 patients were identified. OCT revealed five morphologic patterns of DME: DRT (269, 97%), CME (152, 55%), SRD without PHT (19, 7.0%), PHT without TRD (35, 12.7%), and PHT with TRD (8, 2.9%). Mean retinal thickness varied depending on the morphologic pattern. The mean visual acuities (Snellen equivalent) also varied between groups. Increasing retinal thickness in all patterns was significantly correlated with worse visual acuity (P < .005). The OCT patterns containing CME (P = .01) and PHT without TRD (P = .02) were also significantly associated with worse vision. CONCLUSIONS: DME exhibits at least five different morphologic patterns on OCT. There is a significant correlation between retinal thickness and visual acuity.

Diabetic Retinopathy↗

PubMed2005

Invasion processes of pathogenic Escherichia coli.

Pathogenic Escherichia coli causes extraintestinal infections such as urinary tract infection and meningitis, which are prevalent and associated with considerable morbidity. Previous investigations have identified common strategies evolved by pathogenic E. coli to exploit host cell function and cause extraintestinal infections, which include the invasion into non-phagocytic eukaryotic cells such as epithelial and endothelial cells and associated host cell actin cytoskeletal rearrangements. However, the mechanisms involved in pathogenic E. coli invasion of eukaryotic cells are shown to differ depending upon types of host tissues and microbial determinants. In this mini-review, invasion processes of pathogenic E. coli are discussed using E. coli K1 invasion of human brain microvascular endothelial cells (HBMEC) as a paradigm. E. coli K1 is the most common Gram-negative organism causing neonatal meningitis, and E. coli invasion of HBMEC is shown to be a prerequisite for E. coli traversal of the blood-brain barrier in vivo. Previous studies have demonstrated that E. coli translocation of the blood-brain barrier is the result of specific E. coli host interactions including specific signal transduction pathways and modulation of endocytic pathways. Recent studies using functional genomics have identified additional microbial determinants contributing to E. coli K1 invasion of HBMEC. Complete understanding of microbial-host interactions that are involved in E. coli K1 invasion of HBMEC should help in the development of new strategies to prevent E. coli meningitis.

Animals↗

PubMed2004

Appositional suprachoroidal hemorrhage: a case-control study.

PURPOSE: To identify the risk factors, prognostic factors, and clinical outcomes of patients with perioperative appositional suprachoroidal hemorrhage (ASCH). DESIGN: Case-control study. SETTING: Tertiary referral center. METHODS: Subjects included all patients with perioperative ASCH documented by B-scan ultrasound between May 1990 and March 2001. Two or three control patients were selected for each case, matched by surgeon, procedure, and date of surgery within 1 month. Surgery was performed as necessary. main outcome measures. The odds of ASCH associated with clinical risk factors. secondary outcome measure: visual acuity. RESULTS: Thirty-seven cases with ASCH were identified. Ninety-two procedure- and surgeon-matched control subjects (2.48:1) were selected. Twenty-six cases (71%) of ASCH were related to a glaucoma operation. Risk factors for the development of ASCH included previous vitrectomy (P = .003, odds ratio of 12) and older age (P = .007, odds ratio 1.57/decade of increasing age). Hypertension was found to be protective (P = .02, odds ratio of 0.33). Factors associated with a poor visual outcome in patients with ASCH included apposition >30 days (P = .01), history of uveitis (P = .04), history of dry age-related macular degeneration (P = .05), and history of extracapsular cataract extraction (P = .05). Median pre-ASCH visual acuity was 20/100, and final median visual acuity was 20/1600. CONCLUSIONS: Risk factors for the development of ASCH include previous vitrectomy and older age. Patients with these risk factors should be informed of their greater chance of poor visual acuity and anatomic outcomes secondary to the development of ASCH.

Adolescent↗