Literature DB >> 18665429

A clinical decision rule to aid ordering of serum and urine protein electrophoresis for case-finding of paraproteins in hospitalized inpatients.

Ammarin Thakkinstian1, Huy Tran, Glenn Reeves, Stuart Murch, John Attia.   

Abstract

OBJECTIVE: To develop a simple clinical decision rule that could increase the yield of serum and urine protein electrophoresis (SPE/UPE) without loss of sensitivity.
DESIGN: A cross-sectional study of inpatients with a SPE/UPE performed over a 5-year period (2001-2006) with complete data on electrolytes, globulins, full blood count, creatinine, age, and gender.
SETTING: A tertiary-care general teaching hospital serving the Hunter Valley in New South Wales, with a referral population of over 1 million. PARTICIPANTS: A total of 14,374 adult patients admitted between January 2001-November 2006. MAIN OUTCOME MEASURES: Paraprotein on serum and/or urine protein electrophoresis (SPE/UPE).
RESULTS: Five points were assigned for globulin > 41 g/l, 3 points for age > or = 60, 2 points for each of hemoglobin < 121 and male gender, and 1 point for estimated glomerular filtration rate (eGFR) < 60. Total scores of 0-5, 6-10, and > or = 11 corresponded to positive likelihood ratios of an abnormal SPE/UPE of 1, 2.5, and 6.6, respectively. The predictive ability of this model was strong, with an area under the curve of approximately 0.8. Results in the validation set were almost identical.
CONCLUSION: A clinical decision rule using simple clinical variables has the potential to improve the yield of SPE/UPE. This rule however needs to be verified prospectively.

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Year:  2008        PMID: 18665429      PMCID: PMC2533374          DOI: 10.1007/s11606-008-0712-z

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


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1.  Users' guides to the medical literature. III. How to use an article about a diagnostic test. B. What are the results and will they help me in caring for my patients? The Evidence-Based Medicine Working Group.

Authors:  R Jaeschke; G H Guyatt; D L Sackett
Journal:  JAMA       Date:  1994-03-02       Impact factor: 56.272

Review 2.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

3.  Improved method for calculating calcium fractions in plasma: reference values and effect of menopause.

Authors:  B E Nordin; A G Need; T F Hartley; J C Philcox; M Wilcox; D W Thomas
Journal:  Clin Chem       Date:  1989-01       Impact factor: 8.327

4.  Audit of investigation and follow-up of patients with raised monoclonal proteins.

Authors:  B Young; M Gleeson
Journal:  Aust Clin Rev       Date:  1989-03

5.  Probability of myeloma in patients with low anion gap.

Authors:  J Cambareri
Journal:  Lancet       Date:  1982-02-06       Impact factor: 79.321

6.  Laboratory investigation of monoclonal gammopathy during 10 years of screening in a general hospital.

Authors:  V Malacrida; D De Francesco; G Banfi; F A Porta; P G Riches
Journal:  J Clin Pathol       Date:  1987-07       Impact factor: 3.411

7.  Users' guides to the medical literature. III. How to use an article about a diagnostic test. A. Are the results of the study valid? Evidence-Based Medicine Working Group.

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8.  The low anion gap.

Authors: 
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9.  Refining clinical diagnosis with likelihood ratios.

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10.  The anion gap as a screening procedure for occult myeloma in the elderly.

Authors:  N G Flanagan; J C Ridway; A G Irving
Journal:  J R Soc Med       Date:  1988-01       Impact factor: 18.000

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