# Association of the advanced lung cancer inflammation index and controlling nutritional status score with atrial fibrillation in COPD patients: a multicenter cross-sectional study

**Authors:** Hao Xu, Yanhong Zheng, Tianye Li, Yao Mei, Mengya Yang, Chengshui Chen, Zhidan Hua, Hongjun Zhao

PMC · DOI: 10.3389/fnut.2026.1722288 · Frontiers in Nutrition · 2026-01-27

## TL;DR

This study found that two inflammation and nutrition scores are linked to a higher risk of atrial fibrillation in COPD patients.

## Contribution

The study demonstrates that combining ALI and CONUT scores improves AF risk prediction in COPD patients.

## Key findings

- Lower ALI and higher CONUT scores were independently associated with increased odds of AF in COPD patients.
- The combination of low ALI and high CONUT scores showed the highest odds of AF (OR = 2.420).
- Adding both scores to the baseline model improved AF prediction accuracy and reclassification.

## Abstract

The coexistence of chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) is common and portends a poorer prognosis. This study evaluated whether the Advanced Lung Cancer Inflammation Index (ALI) and Controlling Nutritional Status (CONUT) score—composite biomarkers of inflammation and malnutrition—are associated with AF prevalence in COPD patients.

This multicenter, cross-sectional study included 1,510 hospitalized patients with COPD. AF was diagnosed according to the European Society of Cardiology (ESC) guidelines, encompassing both a documented clinical history and electrocardiographic evidence. The ALI and CONUT scores were calculated from baseline data. Their independent and combined associations with AF were assessed using multivariate logistic regression, restricted cubic splines (RCS), and analyses of joint groups based on optimal cut-off values. Model performance and improvement were evaluated using the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). The robustness of the findings was further tested through extensive subgroup and sensitivity analyses.

Among 1,510 patients with COPD, 425 (28.15%) had AF. After comprehensive adjustment for confounders, both a lower ALI and a higher CONUT score were independently associated with increased odds of AF. A nonlinear, L-shaped relationship was identified for ALI (inflection point: 16.09), while CONUT exhibited a linear, positive association. Patients in the combined “low ALI and high CONUT” group had the highest odds of AF (OR = 2.420, 95% CI: 1.721–3.403). The integration of both indices into the baseline model yielded a statistically significant improvement in discriminative power (AUC: 0.842 vs. 0.835, p = 0.031), accompanied by substantial reclassification improvement (NRI = 0.273, p < 0.001). The findings remained consistent across extensive sensitivity analyses and most clinical subgroups, with a notable interaction observed specifically in patients with pulmonary hypertension.

Lower ALI and higher CONUT scores were significantly associated with a higher prevalence of AF in COPD patients. These readily available composite indices, particularly when used in combination, may aid in identifying patients at increased odds of AF, who could be prioritized for further evaluation.

## Linked entities

- **Diseases:** chronic obstructive pulmonary disease (MONDO:0005002), atrial fibrillation (MONDO:0004981), pulmonary hypertension (MONDO:0005149)

## Full-text entities

- **Diseases:** Lung Cancer (MESH:D008175), pulmonary hypertension (MESH:D006976), AF (MESH:D001281), COPD (MESH:D029424), malnutrition (MESH:D044342), Inflammation (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12886012/full.md

## References

69 references — full list in the complete paper: https://tomesphere.com/paper/PMC12886012/full.md

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Source: https://tomesphere.com/paper/PMC12886012