Clinical research study
Charcot Arthropathy Risk Elevation in the Obese Diabetic Population

https://doi.org/10.1016/j.amjmed.2008.06.038Get rights and content

Abstract

Purpose

To examine the association of obesity, peripheral neuropathy, and other risk factors with the Charcot arthropathy incidence rate in a large diabetic population.

Methods

The Department of Veterans Affairs inpatient and outpatient administrative datasets were used to identify persons with diabetes in 2003. Logistic regressions were used to model the likelihood of a person developing Charcot arthropathy as a function of individual characteristics, obesity, peripheral neuropathy, diabetic control, and comorbidities.

Results

Of Veterans Affairs users with diabetes, 652 (0.12%) were newly diagnosed with Charcot arthropathy in 2003. Compared with persons without obesity or peripheral neuropathy, those with obesity alone were approximately 59% more likely, those with neuropathy alone were 14 times more likely, and those with both obesity and neuropathy were 21 times more likely to develop Charcot arthropathy. Ages 55 to 64 years, diabetes duration 6 years or more, hemoglobin-A1c 7% or more, renal failure, arthritis, and deficiency anemia also were associated with an increased incidence of Charcot arthropathy.

Conclusion

Obesity is significantly associated with an increased incidence of Charcot arthropathy independently of other risk factors. When obesity is combined with neuropathy, the Charcot arthropathy incidence rate increases multiplicatively. Prevention and detection of Charcot arthropathy should take the interaction between obesity and neuropathy into consideration.

Section snippets

Data and Study Sample

The Institutional Review Board at the Edward Hines Jr VA Hospital approved the study, including a Health Insurance Portability and Accountability Act waiver of authorization.

We used the Department of Veterans Affairs (VA) inpatient and outpatient datasets16 for the fiscal year 2003 (October of 2002 to September of 2003; all years henceforth are fiscal years) to identify patients in the study sample and those with Charcot arthropathy. These datasets contain administrative records of all

Results

The study sample consisted of 561,597 persons who had diabetes and had height and weight measured at least once in 2003. A total of 652 persons in the sample were newly diagnosed with Charcot arthropathy in 2003 with an incidence rate of 1.2 per 1000 persons. Its incidence rates were highest among those aged 55 to 64 years (1.9/1000) and decreased as patients became older, with those 65 years or older having an incidence rate less than 1.0 per 1000 patients (Table 1). Married persons had lower

Discussion

This study shows that obesity is significantly associated with an increased incidence of Charcot arthropathy and that its association is amplified in the presence of peripheral neuropathy. When obesity was present along with neuropathy, the risk of developing Charcot arthropathy increased more than would be expected from the sum of independent effects of these conditions in isolation. For example, obesity alone increased its incidence rates by 59% and neuropathy alone increased its incidence

Limitations

This study has several limitations. First, we did not have access to non-VA data, notably Medicare data for elderly veterans. To evaluate methodological robustness in identifying diabetics among VA users, we compared the VA diabetes prevalence with the estimated prevalence from the 2003 Behavioral Risk Factor Surveillance System, a large survey database on a sample representative of the US population that included questions about VA user status and whether the respondent had diabetes. We found

Conclusions

We have shown that obesity is an independent and significant risk factor for Charcot arthropathy. The obese diabetic patient with coexisting peripheral neuropathy is particularly at high risk for developing Charcot arthropathy. These patients need to be provided with increased vigilance in the assessment of lower-extremity injuries. Annual foot screening, special scrutiny, and education need to be provided to patients with multiple risk factors. Once screening has identified elevated risks,

Acknowledgments

We thank Jack Bates of the VHA Corporate Data Warehouse, for providing height and weight data for the study sample, and Lishan Cao and Huiyuan Zhang, for programming support. The corresponding author had full access to all of the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis.

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    Financial support was received from the Center for Management of Complex Chronic Care, Hines VA Hospital, Hines, Illinois (LIP 42-512; Elly Budiman-Mak, MD, Principal Investigator). The article presents the findings and conclusions of the authors; it does not necessarily represent the Department of Veterans Affairs or Health Services Research and Development Service. The authors have no financial or personal conflict of interest to declare.

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