PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 13, 2026BMC Cardiovascular Disorders0 citationsOpen Access

Comparative prognostic value of GNRI, PNI, and CONUT scores for long-term mortality in patients undergoing transcatheter aortic valve replacement

SSSerdar SönerEBErkan BaysalÖAÖner Avınca

Key Result

GNRI, PNI, and CONUT scores were not independent predictors of long-term mortality in patients undergoing TAVR, despite a 40.5% all-cause mortality rate over 7.6 years of follow-up.

Key Points

  • This study evaluates the association of GNRI, PNI, and CONUT scores with long-term mortality in TAVR patients.
  • Retrospective observational study of 262 patients undergoing TAVR from January 2015 to December 2018
  • Patients were grouped by mortality status during 7.6 years of follow-up
  • Nutritional status assessed using laboratory data and GNRI, PNI, and CONUT scores.
  • 40.5% of patients died during the follow-up period
  • Malnutrition prevalence: GNRI 79.8%, PNI 63.7%, CONUT 60.7%
  • Univariate analysis showed GNRI (HR: 0.974, p=0.035), PNI (HR: 0.959, p=0.007), and CONUT (HR: 1.140, p<0.001) were associated with mortality.

Study Design

Type

Observational (n=262)

Structured PICO

Do GNRI, PNI, and CONUT scores independently predict long-term mortality in patients undergoing TAVR?

P
Population
262 patients (mean age 79.0 years, 45% female) who underwent TAVR for severe symptomatic aortic stenosis, followed for 7.6 years.
E
Exposure
Nutritional status assessment using GNRI, PNI, and CONUT scores
O
Outcome
Long-term all-cause mortalityhard clinical

While impaired nutritional status is associated with long-term mortality after TAVR, GNRI, PNI, and CONUT scores are not independent predictors and have limited discriminatory ability.

Abstract

Objective This study aimed to comparatively evaluate the association between geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) scores and long-term mortality in patients undergoing transcatheter aortic valve replacement (TAVR). Method This retrospective observational study included 262 patients who underwent TAVR for severe symptomatic aortic stenosis between January 2015 and December 2018. Patients were divided into two groups based on all-cause mortality development during 7.6 years of follow-up: survivors and those who died. Nutritional status was assessed using pre-admission laboratory and anthropometric data, as well as GNRI, PNI, and CONUT scores. Results The mean age was 79.0 ± 6.4 years, and 45% of the patients were female. During the follow-up period, 106 patients (40.5%) died. Malnutrition prevalence was found to be 79.8% according to GNRI, 63.7% according to PNI, and 60.7% according to CONUT. In univariate analysis, GNRI (HR: 0.974, p = 0.035), PNI (HR: 0.959, p = 0.007), and CONUT (HR: 1.140, p < 0.001) were significantly associated with mortality. However, in multivariate analysis, none of these scores remained as independent predictors. In ROC analysis, AUC values for GNRI, CONUT, and PNI were found to be 0.626, 0.610, and 0.590, respectively. In Kaplan-Meier analysis, survival was lower in patients with poor nutritional status (log-rank p < 0.001). Conclusion In patients undergoing TAVR, impaired nutritional status is associated with long-term mortality; However, GNRI, PNI, and CONUT scores are not clinically independent predictors of mortality. These scores may provide complementary information regarding nutritional status but showed limited discriminatory ability for mortality prediction.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Söner et al. (2026) conducted an observational in severe symptomatic aortic stenosis (n=262). GNRI, PNI, and CONUT scores vs. Normal nutritional status was evaluated on all-cause mortality. GNRI, PNI, and CONUT scores were not independent predictors of long-term mortality in patients undergoing TAVR, despite a 40.5% all-cause mortality rate over 7.6 years of follow-up.

synapsesocial.com/papers/6a54a1b0da93060f8148c33ahttps://doi.org/10.1186/s12872-026-06240-7
Ask AI
Helpful
Bookmark
Share
View Full Paper