Original ReportsA Case-Control Study of Prosthetic Implants and Selected Chronic Diseases in Medicare Claims Data
Introduction
Controversy regarding alleged effects of silicone-containing breast implants on connective-tissue and neurologic diseases has had considerable impact on American society. Claims involving hundred of thousands of women and billions of dollars have led to the unprecedented formation of a special scientific advisory panel by the Federal courts, and a bankruptcy filing by Dow-Corning Corporation (1). There have been numerous epidemiologic studies of breast implants; see the FDA review of studies published through 1995 (2) and other studies published since then (e.g., 3, 4, 5, 6, 7). All of these studies suffer from methodologic limitations, such as unstable estimates of effects on rare outcomes or vulnerabilities to selection biases, and their interpretation remains highly controversial 1, 2. At most, it might be agreed the studies suggest that no large effects are present 1, 2.
Motivated by the above controversy, a few groups have also examined the relation of other implanted devices to the diseases in question 6, 7, 8. A University of Michigan group 6, 7 conducted population-based case-control studies of silicone-exposures (including those from medical devices) and non-silicone devices, in relation to scleroderma and undifferentiated connective tissue disease (UCTD), defined as ICD9 710.9 (“collagen disease not otherwise specified”). They had too few exposed scleroderma cases to yield clear results; they did however detect associations of both silicone-containing and silicone-free devices with UCTD.
Greenland and Finkle (8) conducted an exploratory case-control study of prosthetic non-breast implants in a private health-insurance claims database. This study examined both metal-and silicone-containing implants, under the assumption that metal implants would serve as a control exposure for silicone implants (both types of implant are associated with similar indications and medications). Both silicone and metal implants exhibited associations with certain connective-tissue and neurologic conditions, raising the possibility that surgery or indications for surgery (rather than the implants) may have been responsible for those associations.
In all the non-breast implants studies, most of the associations were quite unstable due to the limited numbers of implanted patients. Hence, we conducted another case-control study using public-use Medicare records. The served population is quite different from the original, being older on average (most Medicare recipients are over 65, whereas most of the persons in the original study were under 65). Because the incidence of the diseases in question increases with age and the Medicare population is very large, far more cases were available for study. To investigate whether surgery or surgical indications were responsible for the original observations, we included in the second study several non-implant surgical procedures that involved similar degrees of invasiveness, anaesthesia duration, and perisurgical medication as implant operations.
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Population and Database
The Medicare population comprises approximately 35 million U.S. citizens covered by the Medicare program. The Health Care Financing Administration (HCFA) provides a five percent sample of the data file of the insured. The data in the present study were obtained from the HCFA samples for 1991 to 1994. The files contain age, sex, outpatient, and inpatient procedures, and dates of occurrence, so that patients with implants may be identified by date of procedures or diagnoses for which claims were
Results
TABLE 2., TABLE 3., TABLE 4., TABLE 5., TABLE 6., TABLE 7. present the unstratified counts and the age-sex-year adjusted hierarchical regression estimates for each surgical category. To illustrate the data in these tables, consider chronic thyroiditis. There were 3156 cases found TABLE 2., TABLE 3., TABLE 4., TABLE 5., of whom 512 were men TABLE 6., TABLE 7.. Among these cases there were three with silicone bone and joint implants at least one year prior to diagnosis (Table 2). In contrast, 143
Discussion
Because our first study had so few implanted cases, it yielded few stable estimates. The present study, with its larger numbers, suggests that certain observations in our first study were not due to random error or peculiarities of the first study population. For example, the hierarchical logistic odds-ratio estimate for the association of silicone bone and joint implants with ankylosing spondylitis was 3.01 (95% CL 1.17, 7.77) in our first study, versus 3.43 (1.96, 5.98) here; the estimate for
Acknowledgements
We are grateful to Peter Alexakis, M.D., Edward O’Connor, M.D., and Andrew Spitzer, M.D. for consultations regarding surgeries and implants, and the referees for suggestions that improved the clarity of the presentation. This work was supported by Dow-Corning Corporation.
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