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Paula Katalinic

Publications and source records attributed to Paula Katalinic.

5 recordsLinked to original sources

Comparison of nonmydriatic digital retinal imaging versus dilated ophthalmic examination for nondiabetic eye disease in persons with diabetes.

OBJECTIVE: To evaluate the ability of stereoscopic nonmydriatic digital retinal imaging to detect ocular pathologic features other than diabetic retinopathy (DR) in patients with diabetes mellitus (DM) compared with dilated retinal examination by retinal specialist ophthalmologists. DESIGN: Clinic-based comparative instrument study and retrospective chart review. PARTICIPANTS: Two hundred eighty Joslin Diabetes Center outpatients (560 eyes) with type 1 or type 2 DM. METHODS: Nonsimultaneous stereoscopic nonmydriatic digital retinal images (640 x 480 pixels) of three 45 degrees retinal fields were acquired and graded for clinical level of DR and other ocular pathologic features by certified readers according to Joslin Vision Network (JVN) protocol. Retrospective chart review compared findings from JVN digital images with findings from dilated retinal examination by retinal specialists performed within an average of 39.6 days of digital imaging. An independent senior retinal specialist adjudicated disagreements by review of 7 standard field 35-mm Early Treatment Diabetic Retinopathy Study protocol fundus photographs and JVN images. MAIN OUTCOME MEASURES: Detection of non-DR ocular pathologic features by digital imaging as compared with clinical examination. RESULTS: Nonmydriatic digital evaluation identified at least 1 non-DR ocular finding in 40.7% of patients (114/280). Non-diabetes mellitus ocular pathologic features identified by digital images, clinical examination, or both included cataract (n = 100); age-related maculopathy (n = 52); suspicion of glaucoma (n = 18); choroidal lesions (n = 18); evidence of systemic disorder (e.g., hypertension or renal disease; n = 15); epiretinal membrane (n = 11); chorioretinal atrophy, scar, or both (n = 6); retinal emboli (n = 3); retinitis pigmentosa (n = 1); and asteroid hyalosis (n = 1). Agreement of nonmydriatic imaging with clinical examination for presence and absence of these findings was 95.4%, 91.3%, 98.2%, 98.6%, 98.2%, 99.6%, 100%, 100%, 100%, and 100%, respectively. Kappa values for all non-DR lesions demonstrated near perfect agreement (kappa> or =0.80) except for age-related maculopathy (kappa = 0.71) and choroidal lesions (kappa = 0.73), where agreement was substantial. Overall, only 55 eyes (9.8%) were ungradable for level of DR and 85 eyes (15.2%) were ungradable for macular edema. CONCLUSIONS: Joslin Vision Network nonmydriatic digital imaging demonstrated excellent agreement with dilated ophthalmic examination by retinal specialists in the detection of ocular disease other than DR, suggesting a potential role for this technology in evaluating non-DR disorders and highlighting the extent of findings other than retinopathy in patients with diabetes.

Adult↗

Nonmydriatic digital imaging alternative for annual retinal examination in persons with previously documented no or mild diabetic retinopathy.

PURPOSE: To prospectively evaluate the Joslin Vision Network (JVN) for follow-up annual retinal examination for level of diabetic retinopathy (DR). DESIGN: Prospective cohort study. METHODS: Fifty-two patients with no or mild nonproliferative DR (Early Treatment Diabetic Retinopathy Study [ETDRS] level < or = 35) and no diabetic macular edema (DME) at dilated retinal examination 11 or more months earlier were imaged. Patients then had dilated retinal examination and color 35-mm seven standard field stereoscopic photography (ETDRS photographs) and completed a satisfaction survey. Level of DR determined from JVN images, clinical examination, and ETDRS photographs was compared. RESULTS: Two (1.9%) eyes had JVN images ungradable for level of DR. In the 102 gradable eyes (98.1%), JVN diagnosis exactly matched clinical examination for level of DR in 82 eyes (77.9%) and was within one level of DR in all eyes (100%). Three eyes (2.9%) had JVN images ungradable for DME; one of these eyes had DME by clinical examination. JVN diagnosis matched clinical examination for DME in all eyes (101) gradable by JVN. Fifty patients (96.1%) reported JVN imaging improved their understanding of eye disease, 100% were satisfied with JVN, and forty-eight (92.3%) would consider replacing dilated examination by their eye doctor with JVN imaging. CONCLUSIONS: JVN digital imaging closely matched clinical examination for level of DR and DME, would have resulted in no patients receiving less stringent follow-up, and was well accepted by patients. JVN digital imaging may be a suitable alternative for annual dilated retinal examination for determining level of DR or DME and appropriate follow-up comprehensive ophthalmic examination.

Adolescent↗

A telemedicine program for diabetic retinopathy in a Veterans Affairs Medical Center--the Joslin Vision Network Eye Health Care Model.

PURPOSE: To extend access to diabetic eye care and characterize the extent of diabetic retinopathy {DR) and other ocular findings using the Joslin Vision Network (JVN). DESIGN: Retrospective observational cohort study. METHODS: Outpatients at the Togus VA Medical Center with diabetes mellitus, impaired fasting glucose, or impaired glucose tolerance underwent JVN protocol imaging. Images were transmitted to the Joslin Diabetes Center for grading and recommended treatment plan. RESULTS: The study included 1,219 patients (2,437 eyes); 1,536 eyes (63.0%) had no (DR), 389 (16.0%) had mild nonproliferative DR (NPDR), 105 (4.3%) moderate NPDR, 35 (1.4%) severe NPDR, 20 (0.8%) very severe NPDR, and 21 (0.9%) had proliferative DR (PDR). Regarding diabetic macular edema (DME), 1,907 eyes (78.3%) had no DME, 34 (1.4%) had early DME, and 16 (0.7%) had clinically significant macular edema (CSME). Of all patients, 354 (29.0%) had either no DR or mild NPDR in both eyes, no evidence of DME, and no significant nondiabetic findings; 679 (55.7%) had no DR in either eye, and 229 (18.8%) had mild NPDR in the more severe eye. Of the 908 patients (74.5%) with either no DR or mild NPDR in the more severe eye, 533 (58.7%) had at least one nondiabetic ocular finding necessitating referral. Finally, 320 eyes (13.1%) were ungradable for both DR and DME and 160 (6.6%) were ungradable for DME alone. CONCLUSION: In a non-ophthalmic setting, JVN identifies the severity of DR and nondiabetic ocular conditions, permitting appropriate triage for eye care.

Adult↗

Use of Joslin Vision Network digital-video nonmydriatic retinal imaging to assess diabetic retinopathy in a clinical program.

PURPOSE: To incorporate a nonmydriatic, digital-video retinal imaging system into a Diabetes Outpatient Intensive Treatment Program and to evaluate the system's ability to assess diabetic retinopathy (DR), determine follow-up, and appropriately refer to retinal specialist ophthalmologists. METHODS: Fundus images were obtained according to Joslin Vision Network (JVN) protocol and evaluated by certified JVN readers. Patients with significant retinal disease underwent evaluation by retinal specialists. RESULTS: A total of 268 (51.0%) of 525 imaged patients had comprehensive eye examination by a retinal specialist owing to referable JVN-assessed clinical level of DR, nondiabetic ocular disease, ungradeable images, last eye examination >/=12 months prior, or patient request for examination. JVN diagnosis of a clinical level of DR agreed exactly with clinical findings in 388 eyes (72.5%) or within one level in 478 eyes (89.3%). JVN referral based on most severe diagnosis in either eye matched retinal specialist-recommended follow-up in 248/268 of patients (92.5%). A total of 136/525 (25.9%) of JVN patients had nondiabetic ocular abnormalities requiring referral. CONCLUSIONS: Recommended follow-up from JVN imaging compared favorably to clinical examination by a retinal specialist. Nondiabetic ocular pathology was identified. JVN assessment of DR level compares favorably to clinical practice, potentially improving access to eye care and enhancing diabetes management.

Adolescent↗