Predictive value of geriatric nutritional risk indexes for hospital readmission and mortality in older patients
2025

Geriatric Nutritional Risk Index and Its Impact on Hospital Readmission and Mortality in Older Patients

Sample size: 573 publication 10 minutes Evidence: high

Author Information

Author(s): Chen Yajun, Wei Jin, Zhang Ming, Xu Dongping, Lang Yuheng, Qi Yumei

Primary Institution: Tianjin Medical University Cancer Institute & Hospital

Hypothesis

The Geriatric Nutritional Risk Index (GNRI) can predict clinical outcomes such as hospital readmission and mortality in older inpatients.

Conclusion

Higher GNRI scores are associated with reduced hospital readmissions and lower mortality rates in older patients.

Supporting Evidence

  • Higher GNRI scores correlate with better nutritional and physiological profiles.
  • Patients in the high GNRI group had significantly lower hospital readmission rates.
  • GNRI is a validated tool for predicting adverse clinical outcomes in older patients.
  • Improving nutritional status can significantly reduce risks associated with malnutrition.
  • GNRI serves as a surrogate marker for frailty and physiological reserve.

Takeaway

The Geriatric Nutritional Risk Index helps doctors understand how well older patients are doing and can predict if they might need to go back to the hospital.

Methodology

This study analyzed data from 573 older patients admitted to a hospital, assessing the relationship between GNRI scores and clinical outcomes over a period from August 2013 to December 2020.

Potential Biases

Potential biases may arise from the retrospective nature of the study and the exclusion of patients with acute diseases or mental health issues.

Limitations

The study was retrospective and conducted at a single hospital, which may limit the generalizability of the findings.

Participant Demographics

Patients aged 60 years and older, with a mix of genders and various health conditions.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI: 0.76–0.81

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1007/s40520-024-02899-0

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