Literature DB >> 26088675

Ocular pulse amplitude as a diagnostic adjunct in giant cell arteritis.

P B Knecht1, L M Bachmann2, M A Thiel3, K Landau1, C Kaufmann3.   

Abstract

BACKGROUND: To develop an algorithm based on the ocular pulse amplitude (OPA) to predict the probability of a positive temporal artery biopsy (TAB) result in the acute phase of suspected giant cell arteritis (GCA).
METHODS: Unilateral TAB was performed and ipsilateral OPA measurements were taken by Dynamic Contour Tonometry. Among the clinical signs and laboratory findings tested in univariate analyses, OPA, Erythrocyte Sedimentation Rate (ESR) and thrombocyte count showed a strong association with a positive TAB result. Algorithm parameters were categorized into three groups (OPA >3.5, 2.5-3.5, and <2.5 mm Hg; ESR <25, 25-60, and >60 mm/h; thrombocyte count <250'000, 250'000-500'000, and >500'000/μl). Score values (0, 1, and 2) were attributed to each group, resulting in a total score range from 0 to 6. A univariate logistic regression analysis using the GCA diagnosis as the dependent and the total score as the independent variate was fitted and probability estimates were calculated.
RESULTS: Thirty-one patients with suspected GCA undergoing TAB during an eighteen-month observation period were enrolled. Twenty patients showed histologically proven GCA. Four patients had score values ≤2, fourteen between 3 and 4, and thirteen of ≥5. The corresponding estimated probabilities of GCA were<7, 52.6, and >95%.
CONCLUSION: The present study confirms previous findings of reduced OPA levels, elevated ESR, and elevated thrombocyte counts in GCA. It indicates that a sum score based on OPA, ESR, and thrombocyte count can be helpful in predicting TAB results, especially at the upper and the lower end of the sum score range.

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Year:  2015        PMID: 26088675      PMCID: PMC4506354          DOI: 10.1038/eye.2015.85

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  22 in total

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Authors:  G G Hunder; D A Bloch; B A Michel; M B Stevens; W P Arend; L H Calabrese; S M Edworthy; A S Fauci; R Y Leavitt; J T Lie
Journal:  Arthritis Rheum       Date:  1990-08

2.  Cutting the encircling band.

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3.  Ocular pulse amplitude in healthy subjects as measured by dynamic contour tonometry.

Authors:  Claude Kaufmann; Lucas M Bachmann; Yves C Robert; Michael A Thiel
Journal:  Arch Ophthalmol       Date:  2006-08

4.  Loss of the ocular pulse in the acute phase of temporal arteritis.

Authors:  D C Bienfang
Journal:  Acta Ophthalmol Suppl       Date:  1989

5.  Temporal artery biopsy for giant cell arteritis.

Authors:  Regina Taylor-Gjevre; Minh Vo; Dino Shukla; Lothar Resch
Journal:  J Rheumatol       Date:  2005-07       Impact factor: 4.666

6.  Giant cell arteritis: laboratory tests at the time of diagnosis in a series of 240 patients.

Authors:  Miguel A Gonzalez-Gay; Maria J Lopez-Diaz; Sonia Barros; Carlos Garcia-Porrua; Amalia Sanchez-Andrade; Jose Paz-Carreira; Javier Martin; Javier Llorca
Journal:  Medicine (Baltimore)       Date:  2005-09       Impact factor: 1.889

7.  Does temporal artery biopsy influence the management of temporal arteritis?

Authors:  J Lenton; R Donnelly; J R Nash
Journal:  QJM       Date:  2005-11-15

8.  Pulsatile ocular blood flow in patients with Graves' ophthalmopathy.

Authors:  Chieh-Chih Tsai; Hui-Chuan Kau; Shu-Ching Kao; Ming-Wei Lin; Wen-Ming Hsu; Jorn-Hon Liu; Yau-Huei Wei
Journal:  Eye (Lond)       Date:  2005-02       Impact factor: 3.775

9.  Visual prognosis in giant cell arteritis.

Authors:  P D Aiello; J C Trautmann; T J McPhee; A R Kunselman; G G Hunder
Journal:  Ophthalmology       Date:  1993-04       Impact factor: 12.079

10.  Ocular pneumoplethysmography can help in the diagnosis of giant-cell arteritis.

Authors:  T M Bosley; P J Savino; R C Sergott; R C Eagle; R Sandy; W Gee
Journal:  Arch Ophthalmol       Date:  1989-03
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3.  Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation.

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4.  Multivariable prediction model for suspected giant cell arteritis: development and validation.

Authors:  Edsel B Ing; Gabriela Lahaie Luna; Andrew Toren; Royce Ing; John J Chen; Nitika Arora; Nurhan Torun; Otana A Jakpor; J Alexander Fraser; Felix J Tyndel; Arun Ne Sundaram; Xinyang Liu; Cindy Ty Lam; Vivek Patel; Ezekiel Weis; David Jordan; Steven Gilberg; Christian Pagnoux; Martin Ten Hove
Journal:  Clin Ophthalmol       Date:  2017-11-22

5.  Diagnostic Accuracy of Symptoms, Physical Signs, and Laboratory Tests for Giant Cell Arteritis: A Systematic Review and Meta-analysis.

Authors:  Kornelis S M van der Geest; Maria Sandovici; Elisabeth Brouwer; Sarah L Mackie
Journal:  JAMA Intern Med       Date:  2020-10-01       Impact factor: 21.873

  5 in total

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