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Statistical agreement between ATPIII, IDF, EGIR, AACE metabolic syndrome classifications in HIV-infected patients and association with lipodystrophy

Purpose of the study

To assess statistical agreement of metabolic syndrome (MS) ATPIII, IDF, EGIR and AACE classification in HIV-infected patients and association with body fat redistribution.

Methods

Cross-sectional observational study that included all consecutive HIV-infected patients seen at a metabolic clinic who were screened for MS and had a clinical and radiological lipodystrophy (LD) evaluation. Cohen's Kappa statistic was calculated to assess statistical agreement between different MS classifications. Logistic regression models were performed to identify factors associated with different MS classifications. (Tables 1 and 2.)

Table 1 K of Cohen shows a low level of agreement between MS classifications.
Table 2

Summary of results

1,348 pts were included in the analysis.

Figure 1 depicts prevalence of metabolic syndrome according to different definition.

figure 1

Figure 1

Conclusion

Concordance between MS classification is less than ideal. After adjusting for BMI strata, lipodystrophy phenotypes and central fat accumulation are associated with for MS diagnosis.

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Guaraldi, G., Zona, S., D'Amico, R. et al. Statistical agreement between ATPIII, IDF, EGIR, AACE metabolic syndrome classifications in HIV-infected patients and association with lipodystrophy. JIAS 11, P125 (2008). https://doi.org/10.1186/1758-2652-11-S1-P125

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  • DOI: https://doi.org/10.1186/1758-2652-11-S1-P125

Keywords

  • Metabolic Syndrome
  • Kappa Statistic
  • Lipodystrophy
  • Statistical Agreement
  • Syndrome Classification