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Do Symptoms and Physical Examination Findings Predict Elbow Pain and Functional Outcomes in a Working Population?

Descatha, Alexis MD; Dale, Ann Marie PhD; Jaegers, Lisa PhD; Evanoff, Bradley MD, MPH

Journal of Occupational and Environmental Medicine: November 2014 - Volume 56 - Issue 11 - p e131–e132
doi: 10.1097/JOM.0000000000000293
Letters to the Editor
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Univ Versailles St-Quentin, F-78035, Versailles, and Inserm, UMS 011, Population-Based Epidemiological cohorts Unit and AP-HP, Occupational Health Unit/EMS (Samu92), University hospital Poincaré, Garches, France

Division of General Medical Sciences, Washington University School of Medicine, St Louis, MO

Address correspondence to: Ann Marie Dale, PhD, Division of General Medical Sciences, Washington University School of Medicine, St Louis, MO 63110 (adale@dom.wustl.edu).

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This study was supported by CDC/NIOSH (grant # R01OH008017-01) and by the National Center for Research Resources (NCRR) (grant # UL1 RR024992), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIOSH, NCRR, or NIH. No authors in this study are affiliated with any organization that to any author's knowledge have direct interests, including financial interest, in the subject matter, or materials discussed.

The authors declare no conflicts of interest.

To the Editor:

Epicondylitis (medial and lateral) is one of the most common disorders among active workers,1,2 prompting recommendations for surveillance3,4 or post-offer preplacement examinations.5 Nevertheless, little is known about the value of symptoms and physical examination findings for epicondylitis in predicting future elbow pain, epicondylitis, and job impairment. In a large cohort of newly employed workers, we measured symptoms and physical examination findings of epicondylitis at the time of initial employment and examined the predictive value of these findings for elbow pain, epicondylitis, and work impairment 3 years later.

We recruited 1107 newly employed workers in several industries in St Louis between July 2004 and October 2006.6,7 Subjects completed a symptom questionnaire (elbow and forearm symptoms occurring more than three times or lasting more than 1 week in the last year) and received a physical examination (PE) at baseline. The PE was considered positive if the subject reported pain or discomfort in either arm when the examiner palpated the medial or lateral epicondyles, muscle insertions, and surrounding musculature, or if the subject reported any pain or discomfort in the elbow when the examiner applied resistance against extension or flexion at the wrist (resistance was applied mid-dorsally to the subject's hand with the elbow in 90° of flexion). Examiners were trained in the use of a structured PE protocol.

Subjects’ baseline status was classified in four categories: (1) subjects with no elbow symptoms and negative (normal) PE; (2) subjects without elbow symptoms, but with a positive (abnormal) PE; (3) subjects with elbow symptoms and negative PE; and (4) subjects meeting our epicondylitis case definition of elbow symptoms and positive PE occurring in the same arm. We conducted follow-up questionnaires and performed PE 3 years after baseline measures using similar protocols. At follow-up we defined “severe” elbow pain as elbow pain within the past 30 days with a rating of five or higher on a scale of 0 (no discomfort) to 10 (worst discomfort imaginable). Job impairment was assessed using a composite outcome6 that included any worker who reported a limitation attributed to elbow symptoms in any one of the following areas: (1) limited ability to work, (2) decreased productivity, (3) lost time from work, (4) placed on job restrictions, and (5) change in job or employer because of symptoms. Analysis compared baseline subject categorization with three outcomes at follow-up: epicondylitis, severe elbow pain, and job impairment. Comparisons used nonordinal multinomial logistic regression models (for outcomes with more than two categories) and simple logistic regression models for the outcomes of job impairment and severe elbow pain. We also examined the predictive value of baseline subject categorization for elbow pain, epicondylitis, and work impairment 3 years later.

The study group included 1107 newly hired workers, 65.1% male, with a mean age of 30.3 years (standard deviation, 10.3 years). Symptom questionnaires and repeated physical examination data were available on 742 subjects. Median follow-up was 34 months, with a range of 26 to 71 months. There were no differences in baseline classification of elbow outcomes between subjects lost to follow-up and those who were followed up. The evaluation of symptoms and PE findings by category are summarized in Table 1. Of the subjects with epicondylitis at follow-up, 59.6% (n = 34) had no elbow symptoms and positive elbow PE at baseline. The natural history of symptoms was also complex. Across all outcomes, subjects with both elbow symptoms and PE findings (epicondylitis) had the strongest association with future pain (odds ratio severe pain = 7.2 [2.8 to 21.4]), PE findings (odds ratio epicondylitis = 10.3 [3.4 to 31.5]), and job impairment (odds ratio job impairment = 7.2 [2.4 to 21.3]). Although PE findings in subjects without pain were associated with future epicondylitis (and with future PE findings), PE alone was not associated with job impairment, whereas pain alone was associated with all outcomes. The positive predictive value of different combinations of symptoms and PE was low for all categories (<30%, Table 1). In this relatively healthy worker cohort, negative predictive values were high for all combinations of symptoms and PE.

TABLE 1

TABLE 1

This study of elbow pain in newly hired workers found that elbow pain and physical findings suggestive of epicondylitis predicted future pain and job impairment, though the predictive value of symptoms and physical findings was low. Limitations of the study include the follow-up intervals, which may have been too widely spaced to detect all cases of elbow pain or epicondylitis. This information is useful for designing surveillance programs for epicondylitis.

Alexis Descatha, MD

Univ Versailles St-Quentin, F-78035,

Versailles, and Inserm, UMS 011,

Population-Based Epidemiological cohorts

Unit and AP-HP, Occupational Health Unit/EMS (Samu92), University hospital

Poincaré, Garches, France

Ann Marie Dale, PhD

Lisa Jaegers, PhD

Bradley Evanoff, MD, MPH

Division of General Medical Sciences,

Washington University School of

Medicine, St Louis, MO

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REFERENCES

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