Predictive Feasibility of the Graz Malnutrition Screening, Controlling Nutritional Status Score, Geriatric Nutritional Risk Index, and Prognostic Nutritional Index for Postoperative Long-Term Mortality After Surgically Treated Proximal Femur Fracture
2024

Nutritional Screening Tools and Postoperative Mortality in Hip Fracture Patients

Sample size: 1500 publication Evidence: low

Author Information

Author(s): Domenik Popp, Marie Stich-Regner, Lukas Schmoelz, Sara Silvaieh, Stephan Heisinger, Nia Arastoo

Primary Institution: Medical University of Vienna

Hypothesis

Can nutritional assessment scores predict postoperative mortality in patients undergoing surgery for hip fractures?

Conclusion

The study found a significant correlation between nutritional scores and postoperative mortality, but the predictive value of these scores was low.

Supporting Evidence

  • 81 patients (5.4%) died in the first month post-surgery.
  • By 12 months, 321 patients had died, leading to a one-year mortality rate of 21.4%.
  • Logistic regression analysis revealed a statistically significant correlation (p < 0.01) between all four nutritional scores and postoperative mortality risk.

Takeaway

This study looked at how well different nutritional tests can predict if older people will survive after hip surgery for a broken hip. It found that while the tests showed some connection to survival, they weren't very good at predicting outcomes.

Methodology

This observational study analyzed clinical data from patients who underwent surgical treatment for hip fractures, using logistic regression to evaluate the correlation between nutritional scores and mortality.

Potential Biases

Potential observer bias due to reliance on patient-reported data for some nutritional assessments.

Limitations

The study's retrospective design may introduce inaccuracies in nutritional assessments, particularly regarding recent weight loss.

Participant Demographics

The cohort included 70.8% women with a mean age of 81.1 years.

Statistical Information

P-Value

<0.01

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.3390/nu16244280

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