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[Anthropometric parameters].

U Brenner, J M Müller, M Walter

    Infusionstherapie Und Klinische Ernahrung
    |October 1, 1986
    PubMed
    Summary
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    Anthropometric measurements assess nutritional status but lack predictive value for surgical complications in Europe due to missing standards. These simple tests are not reliable for preoperative screening of surgical patients.

    Area of Science:

    • Human physiology
    • Nutritional science
    • Medical diagnostics

    Context:

    • Anthropometry, the study of human body measurements, is crucial for assessing nutritional status in populations and clinical settings.
    • Recent integration of anthropometric measurements into routine nutrition assessments for surgical patients.
    • Upper arm anthropometry and handgrip dynamometry are recognized as rapid, cost-effective methods for malnutrition detection.

    Purpose:

    • To evaluate the utility of anthropometric measurements and handgrip dynamometry in preoperative screening for predicting postoperative complications in surgical patients.
    • To determine the predictive value, specificity, sensitivity, and validity of these anthropometric methods in a European context.

    Summary:

    • Anthropometric measurements and handgrip dynamometry, while useful for detecting malnutrition, were found to be inadequate for preoperative screening to predict postoperative complications in surgical patients.

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  • The study highlights a lack of appropriate standards in Europe, limiting the applicability and predictive value of these measurements in this population.
  • None of the preoperatively measured variables demonstrated predictive value for postoperative complications in the prospective study.
  • Impact:

    • Findings suggest that current anthropometric screening methods are insufficient for identifying surgical patients at risk of postoperative complications in Europe.
    • Highlights the need for developing validated, context-specific standards for anthropometric measurements in European surgical patient populations.
    • Underscores the importance of reassessing the role of simple anthropometric tests in preoperative risk stratification and the potential need for more sophisticated predictive tools.