Key result
An admission advanced lung cancer inflammation index (ALI) lower than 43.9 was independently associated with a 2.3-fold increased risk of one-year major adverse cardiovascular and cerebrovascular events in patients with NSTEMI undergoing PCI.
Why the study?
The prognostic role of admission advanced lung cancer inflammation index (ALI) values on one-year major adverse cardiovascular and cerebrovascular events (MACCEs) in NSTEMI patients undergoing PCI was unclear.
Does a low admission advanced lung cancer inflammation index (ALI) predict increased major cardiovascular and cerebrovascular events in NSTEMI patients undergoing PCI?
Cohort (n=1,173)
No
Does a low admission advanced lung cancer inflammation index (ALI) predict increased major cardiovascular and cerebrovascular events in NSTEMI patients undergoing PCI?
Hazard Ratio: 2.3
Absolute Event Rate: 19.5% vs 7.7%
p-value: p=<0.001
Admission advanced lung cancer inflammation index (ALI) is an independent prognostic biomarker that successfully predicts one-year major adverse cardiovascular and cerebrovascular events in NSTEMI patients undergoing PCI, outperforming other inflammatory indices like NLR, CAR, and UAR.
Objectives: Our aim was to investigate whether admission advanced lung cancer inflammation index (ALI) values have a prognostic role on one-year major adverse cardiovascular and cerebrovascular events (MACCEs) in non-ST elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI). Methods: Our study consisted of 1173 consecutive patients aged 61.9 ± 12.5 years. The study population was divided into two groups according to the occurrence of MACCEs. BMI (body mass index), serum albumin levels and NLR (neutrophil to lymphocyte ratio) of patients were collected from hospital records, and ALI was calculated based on the following formula: BMI × serum albumin/NLR. We also calculated neutrophil to lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR) and uric acid to albumin ratio (UAR) and investigated the association of these inflammation-based biomarkers with one-year MACCEs. Results: During the 12-month follow-up period, 158 (13.5%) patients had MACCEs, 55 (4.7%) of whom had all-cause mortality, 96 (8.2%) had nonfatal MI and 7 (0.6%) had nonfatal stroke. Patients with MACCEs had significantly lower ALI (p < 0.001), and also ALI (area under the curve [AUC] = 0.658, p < 0.001) had better discriminatory power and predictive accuracy in determining one-year MACCEs compared to albumin (AUC = 0.594, p < 0.001), NLR (AUC = 0.631, p < 0.001), CAR (AUC = 0.595, p < 0.001) and UAR (AUC = 0.577, p = 0.001) in the ROC analysis. Individuals with an ALI value lower than 43.9 were at greater risk of developing MACCEs (p < 0.001) due to the Delong test. Conclusions: Determining the level of ALI may have the potential to improve risk prognostication in NSTEMI patients undergoing revascularization therapy.
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Karaca et al. (2025) conducted a cohort in Non-ST Elevation Myocardial Infarction (NSTEMI) (n=1,173). Low Advanced Lung Cancer Inflammation Index (ALI < 43.9) vs. High Advanced Lung Cancer Inflammation Index (ALI ≥ 43.9) was evaluated on Major adverse cardiovascular and cerebrovascular events (MACCEs) at 12 months (HR 2.3, p=<0.001). An admission advanced lung cancer inflammation index (ALI) lower than 43.9 was independently associated with a 2.3-fold increased risk of one-year major adverse cardiovascular and cerebrovascular events in patients with NSTEMI undergoing PCI.
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