Association between a high Modified Nutrition Risk in Critically Ill score and 30-day mortality in critically ill adults: A retrospective cohort study
Irish Journal of Medical Science, cilt.194, sa.5, ss.1923-1935, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 194 Sayı: 5
- Basım Tarihi: 2025
- Doi Numarası: 10.1007/s11845-025-04066-4
- Dergi Adı: Irish Journal of Medical Science
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE
- Sayfa Sayıları: ss.1923-1935
- Anahtar Kelimeler: M-NUTRIC score, Mortality, Propensity score matching
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
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.