Impact of the Geriatric Nutritional Risk Index on In-hospital Thrombosis and Mortality in Patients Hospitalized with

Takuya Nakahashi1, Hayato Tada2, Kenji Sakata2

  • 1Department of Cardiology, Takaoka City Hospital, Japan.

Insights

Low geriatric nutritional risk index (GNRI) in COVID-19 patients is linked to higher risks of in-hospital thrombosis and mortality. This nutritional assessment can aid in predicting adverse outcomes for coronavirus disease 2019 patients.

Area of Science:

  • Internal Medicine
  • Geriatrics
  • Infectious Diseases

Background:

  • Nutritional status is a critical factor in patient outcomes.
  • Coronavirus disease 2019 (COVID-19) is associated with significant morbidity and mortality.
  • Thrombotic events are a known complication of severe COVID-19.

Purpose of the Study:

  • To investigate the relationship between nutritional status and the incidence of thrombosis and mortality in COVID-19 patients.
  • To evaluate the predictive value of the geriatric nutritional risk index (GNRI) for adverse outcomes in COVID-19.

Main Methods:

  • Retrospective analysis of 496 COVID-19 patients admitted between April 2020 and March 2023.
  • Calculation of the geriatric nutritional risk index (GNRI) using serum albumin and body mass index.
  • Comparison of outcomes between patients with low GNRI and high GNRI based on the median value.

Main Results:

  • Patients with a low GNRI were older, more likely to be female, and had higher rates of hypertension and cardiovascular disease history.
  • Low GNRI was associated with significantly higher D-dimer levels on admission.
  • A low GNRI was a significant predictor of the composite endpoint of in-hospital thrombotic events and mortality (OR, 3.24; 95% CI: 1.51-6.93).

Conclusions:

  • The geriatric nutritional risk index (GNRI) is a valuable tool for assessing nutritional status in COVID-19 patients.
  • Low GNRI is significantly associated with an increased risk of in-hospital thrombosis and mortality.
  • GNRI assessment can aid clinicians in identifying high-risk COVID-19 patients.

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