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The Prognostic Nutritional Index as a Lifeline for Cardiovascular Health in Individuals With Insomnia: A Prospective Cohort Study

Liu Z, Gu L

Health science reports, 2026

3,161 participants

Abstract

Background and aims: This study aimed to examine the relationship between the prognostic nutritional index (PNI) and both all-cause and cardiovascular mortality among individuals diagnosed with insomnia.

Methods: A total of 3161 participants from the NHANES database were analyzed, stratified by the severity of insomnia (mild, moderate, severe). Weighted Cox regression models were employed to evaluate the associations between PNI and mortality, while subgroup and interaction analyses were conducted to assess consistency across various demographic groups. Kaplan-Meier survival curves were utilized to compare survival rates across PNI quartiles, and Receiver Operating Characteristic (ROC) curves were used to evaluate the predictive accuracy of PNI. Additionally, Restricted Cubic Spline (RCS) analysis was performed to identify safety thresholds for PNI.

Results: Among the participants, 16% were classified as having severe insomnia. A higher PNI, within a specific range, was found to be protective against cardiovascular mortality (Hazard Ratio [HR] = 0.24, 95% Confidence Interval [CI]: 0.14-0.41, p p < 0.001), after adjusting for confounding factors such as age, sex, race, and education. The RCS analysis revealed a nonlinear relationship, indicating that a PNI below 51.9 was associated with an increased risk of cardiovascular mortality.

Conclusion: An elevated PNI, within a defined range, is associated with reduced mortality risks in patients with insomnia, whereas PNI levels…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 3,161 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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