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Background <p>Propensity-Score matching methods are one of the statistical methods used to reduce methodological bias in studies.</p> Aims <p>In our study, we investigated the effect of m- Nutritional Risk in Critically Ill (m-NUTRIC) score on 30-day mortality using the Propensity-Score matching method.</p> Method <p>Patients admitted to the ICU, who nutrition support were included in this retrospective cohort study. Patients’ m-NUTRIC scores were recorded. Propensity score matching and inverse probability of treatment weighting (IPTW) based on propensity score analyses were applied to address covariate imbalances between the two m-NUTRIC groups (low and high). Decision curve analysis was used to illustrate the net benefit of employing the Boruta-adjusted and propensity score-matched models over for determining 30-day mortality. Statistical analyses utilized two-sided tests with a significance level of 0.05.</p> Results <p>The study population consisted of a total of 599 patients. m-NUTRIC score ≥ 5 had a significantly higher 30-day all-cause mortality rate compared to those with a score &lt; 5 (<i>p</i> &lt; 0.001). m-NUTRIC score was found to be a strong independent predictor of 30-day mortality (HR = 1.53, 95% CI: 1.35–1.72, <i>p</i> &lt; 0.001) when considered as a continuous variable. In the IPTW analysis, individuals with an m-NUTRIC ≥ 5 score had a significantly higher 30-day mortality risk (weighted-HR = 1.67, 95% CI: 1.48–1.90, <i>p</i> &lt; 0.001). This association remained consistent in the propensity score matched population (<i>p</i> &lt; 0.001) and in the IPTW-adjusted cohort (<i>p</i> &lt; 0.001).</p> Conclusions <p>The m-NUTRIC score was effective in predicting mortality rates. This study highlights the usefulness of the propensity-matching method in such studies.</p>

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Association between a high Modified Nutrition Risk in Critically Ill score and 30-day mortality in critically ill adults: A retrospective cohort study

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Begum Seyda Avci,
  • Onder Yesiloglu,
  • Abdullah Yildirim,
  • Omer Genc,
  • Yeliz Simsek,
  • Ahmet Burak Urfalioglu,
  • Erdem Aksay,
  • Adnan Kuvvetli,
  • Akkan Avci,
  • Ramazan Guven,
  • Hilmi Erdem Sumbul

摘要

Background

Propensity-Score matching methods are one of the statistical methods used to reduce methodological bias in studies.

Aims

In our study, we investigated the effect of m- Nutritional Risk in Critically Ill (m-NUTRIC) score on 30-day mortality using the Propensity-Score matching method.

Method

Patients admitted to the ICU, who nutrition support were included in this retrospective cohort study. Patients’ m-NUTRIC scores were recorded. Propensity score matching and inverse probability of treatment weighting (IPTW) based on propensity score analyses were applied to address covariate imbalances between the two m-NUTRIC groups (low and high). Decision curve analysis was used to illustrate the net benefit of employing the Boruta-adjusted and propensity score-matched models over for determining 30-day mortality. Statistical analyses utilized two-sided tests with a significance level of 0.05.

Results

The study population consisted of a total of 599 patients. m-NUTRIC score ≥ 5 had a significantly higher 30-day all-cause mortality rate compared to those with a score < 5 (p < 0.001). m-NUTRIC score was found to be a strong independent predictor of 30-day mortality (HR = 1.53, 95% CI: 1.35–1.72, p < 0.001) when considered as a continuous variable. In the IPTW analysis, individuals with an m-NUTRIC ≥ 5 score had a significantly higher 30-day mortality risk (weighted-HR = 1.67, 95% CI: 1.48–1.90, p < 0.001). This association remained consistent in the propensity score matched population (p < 0.001) and in the IPTW-adjusted cohort (p < 0.001).

Conclusions

The m-NUTRIC score was effective in predicting mortality rates. This study highlights the usefulness of the propensity-matching method in such studies.