Prognostic Value of Neutrophil-Lymphocyte Ratio in Cardiogenic Shock: A Cohort Study
Yangpei Peng1, Jie Wang2, Huaqiang Xiang1
1Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China (mainland).
Insights
The neutrophil-lymphocyte ratio (NLR) shows an inverse U-shaped association with mortality in cardiogenic shock (CGS) patients. Elevated NLR levels may indicate higher 30-day mortality risk in CGS.
Area of Science:
- Cardiology
- Inflammation Research
- Biomarker Discovery
Background:
- Inflammation is a key factor in cardiogenic shock (CGS) pathogenesis.
- The neutrophil-lymphocyte ratio (NLR) is an integrated inflammation biomarker.
- The prognostic utility of NLR in CGS patients is not well-established.
Purpose of the Study:
- To investigate the association between NLR and 30-day mortality in CGS patients.
- To determine the optimal NLR cutoff values for predicting outcomes.
- To compare the prognostic value of NLR with other inflammatory markers.
Main Methods:
- Retrospective cohort study using MIMIC database.
- Smooth curve fitting to identify NLR cutoffs.
- Cox proportional hazards models, subgroup analysis, and ROC curve analysis for 30-day mortality.
Main Results:
- 1470 CGS patients analyzed (mean age 70.37 years, 54.5% male).
- An inverse U-shaped relationship observed between NLR and mortality, with highest risk at NLR 9.4-15.
- NLR demonstrated a more sensitive prognostic value for 30-day mortality than neutrophil or lymphocyte percentage alone.
Conclusions:
- NLR exhibits an inverse U-shaped association with mortality in CGS.
- NLR is a readily available and independent prognostic biomarker for CGS.
- NLR's prognostic sensitivity is superior to individual neutrophil or lymphocyte percentages but less than SOFA or SAPSII scores.
Abstract:
BACKGROUND Inflammation plays an important part in the pathogenesis of cardiogenic shock (CGS). Whether the neutrophil-lymphocyte ratio (NLR), an integrated biomarker of inflammation, is associated with the outcome of CGS patients remains unknown. This retrospective cohort study was performed to identify the utility of using NLR among patients with CGS. MATERIAL AND METHODS Data were extracted from the MIMIC database. We applied smooth curve fitting to define the NLR cutoff values. The primary outcome was 30-day mortality. Cox proportional hazards models, subgroup analysis, and receiver operator characteristic (ROC) curve analysis were performed. RESULTS A total of 1470 CGS patients were extracted, among which 801 (54.5%) were men. The mean age of the population was 70.37 years. An inverse U-shaped relationship was observed between NLR and mortality in CGS patients, with the highest risk being at values ranging from 9.4 to 15. For the primary outcome of 30-day mortality, the adjusted HR (95% CI) values of the middle tertile (NLR 9.4-15) and the upper tertile (NLR >15) were 1.47 (1.14, 1.88) and 1.22 (0.94, 1.57) compared with the reference of lower tertile (NLR <9.4). ROC curve analysis showed that NLR had a more sensitive prognostic value in predicting 30-day mortality of CGS than the neutrophil or lymphocyte percentage alone (0.660 vs. 0.540, 0.549). CONCLUSIONS An inverse U-shaped curve was presented between NLR and the mortality of CGS. NLR seemed to be a readily available and independent prognostic biomarker for patients with CGS. The prognostic value of NLR was more sensitive than the neutrophil or lymphocyte percentage alone, but not as good as SOFA or SAPSII score.
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