Original article
Assessing clinical probability of organic disease in patients with involuntary weight loss: a simple score

https://doi.org/10.1016/S0953-6205(02)00032-8Get rights and content

Abstract

Background: Involuntary weight loss (IWL) is a frequent complaint with a difficult diagnosis. Any one of a number of different diseases may be the source of the symptom. However, there is no universal clinical protocol that can help physicians study this complex syndrome. Methods: In March 1998, we defined a diagnostic protocol for the study of IWL. IWL was defined as an involuntary and documented weight loss of at least 5% of the usual body weight in the previous 3 months. We analyzed 78 consecutive patients with IWL who came to our clinic between March 1998 and December 2000. Results: An organic disease was found in 56% of cases; cancer, metabolic and digestive diseases were the most common entities. Psychiatric problems were found in 33% of cases. After extensive study, an idiopathic group of 11% was identified. The variables that were independently predictive of a final diagnosis of organic disease were: age>50 years (OR: 8.6, CI 95%: 1.7–43.6), psychiatric symptoms (OR: 0.2, CI 95%: 0.1–0.8), smoking (OR: 14.3, CI 95% 2.3–74), the presence of guide symptoms (OR: 8.0, CI 95%: 1.8–34.4), and anemia (OR: 3.1, CI 95%: 2.5–387). Sixteen percent of the patients died, more often those suffering from organic diseases. Based on multivariate regression coefficients, a clinical risk score was established. Conclusions: IWL is a complex and frequent syndrome with a 16% rate of mortality during the first year. A protocol based on clinical data can help in the management of IWL. Our clinical prediction rule may help physicians to identify those patients with IWL who are likely to have an underlying organic disease.

Introduction

Involuntary weight loss (IWL) is a frequent complaint that causes concern to both the patient and the attending physician because of the possibility of a severe underlying disease. The best clinical approach to IWL remains unclear, especially in the absence of specific clinical clues [1]. A few studies analyzed this problem, most of them in the 1980s [2], [3], [4], [5], [6].

We undertook this study with the following objectives: (1) to evaluate the underlying clinical disorders in patients presenting with IWL; (2) to define a clinical protocol for the study of IWL; and (3) to develop a clinical prediction rule that might help in the management of these patients.

Section snippets

Setting

Fundación Hospital Alcorcón is a public general hospital in the southwest of Madrid that serves about 250 000 inhabitants. Our internal medicine department has an outpatient clinic where nearly 1400 new patients are seen every year.

Study protocol

In March 1998 we defined a diagnostic protocol for the study of involuntary weight loss (IWL) adapted from Foster [7] (Table 1, Table 2). From March 1998 to December 2000, all patients referred to our clinic with IWL as the main clinical complaint were included in

Results

Of the 91 patients with IWL seen at our internal medicine clinic, 78 (86%) were included in the study. The 13 patients who were not included because they did not have enough follow-up to achieve a diagnosis did not differ in sex or age from the patients who were included. Fifty-one percent of the patients were women, and their mean age was 59±19 years.

The primary care physician referred 85% of the patients. Eighteen patients (23%) were hospitalized for study due to a deterioration in their

Discussion

In general, weight loss occurs because of decreased caloric intake, alterations in energy metabolism, or loss of calories in the urine or feces. Different abnormalities in energy metabolism have been described and multiple factors contributing to weight loss may be present in a particular patient with cancer, AIDS, or in elderly patients [1], [9]. The precise mechanisms underlying weight loss are currently being elucidated and probably involve the action of different hormones and cytokines [1],

Acknowledgements

We thank Alejandra Perez del Real for her helpful technical assistance.

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