Data_Sheet_3_Prognostic Role of the Neutrophil-to-Lymphocyte Ratio in Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.PDF
The neutrophil-to-lymphocyte ratio (NLR) plays an important role in the progression of intracerebral hemorrhage (ICH). An increasing number of studies have reported that a high NLR is correlated with poor clinical outcomes among patients with ICH. Here, we conducted a systematic review and meta-analysis to evaluate the prognostic value of NLR in the setting of ICH. We performed a comprehensive search of electronic literature databases to identify all relevant studies evaluating the prognostic role of NLR in patients with ICH. Two researchers independently screened the studies and extracted relevant data. We extracted, pooled, and weighted odds ratio (OR) and 95% confidence interval (CI) values using a generic inverse-variance method, and then evaluated the heterogeneity among studies using Q test and I2 statistic. Finally, we selected a total of 26 studies including 7,317 patients for the current study. Overall, our results indicated that a high NLR was significantly associated with a poor outcome (OR, 1.32; 95% CI, 1.19–1.46; P < 0.00001), mortality (OR, 1.05; 95% CI, 1.01–1.09; P = 0.02), and neurological deterioration (OR, 1.65; 95% CI, 1.08–2.52; P = 0.02). We did not observe a significant association between NLR and hematoma expansion (OR, 1.04; 95% CI, 0.99–1.08; P = 0.09). Our study indicated that a high NLR is significantly associated with poor clinical outcomes in patients with ICH. As NLR is a simple and easily available biomarker, future studies should focus on exploring its application in the prognostic evaluation of patients with ICH.
History
References
- https://doi.org//10.1155/2018/2703518
- https://doi.org//10.1186/s12887-020-02285-5
- https://doi.org//10.1007/s12975-014-0384-4
- https://doi.org//10.1016/j.wneu.2019.10.154
- https://doi.org//10.1016/s0140-6736(18)31878-6
- https://doi.org//10.1016/j.wneu.2018.04.089
- https://doi.org//10.1016/s1474-4422(03)00266-7
- https://doi.org//10.1007/s00415-006-0201-4
- https://doi.org//10.1007/s13760-019-01269-2
- https://doi.org//10.12688/f1000research.16357.1
- https://doi.org//10.1159/000468996
- https://doi.org//10.1016/j.wneu.2019.04.040
- https://doi.org//10.1161/01.str.32.4.891
- https://doi.org//10.1016/j.jneuroim.2018.04.015
- https://doi.org//10.1159/000321870
- https://doi.org//10.1007/s11883-012-0252-1
- https://doi.org//10.1016/j.jstrokecerebrovasdis.2021.105827
- https://doi.org//10.1016/s1474-4422(12)70104-7
- https://doi.org//10.1038/nrneurol.2017.69
- https://doi.org//10.1007/s12975-018-0649-4
- https://doi.org//10.18632/oncotarget.15423
- https://doi.org//10.1161/strokeaha.116.013627
- https://doi.org//10.1016/j.jns.2018.01.038
- https://doi.org//10.1371/journal.pone.0074839
- https://doi.org//10.1097/md.0000000000016211
- https://doi.org//10.1212/wnl.0000000000002029
- https://doi.org//10.1111/ene.13741
- https://doi.org//10.1016/j.clineuro.2020.106339
- https://doi.org//10.1186/s41983-020-00267-z
- https://doi.org//10.1016/j.clineuro.2018.09.007
- https://doi.org//10.1007/s10143-021-01484-7
- https://doi.org//10.5505/tbdhd.2019.87587
- https://doi.org//10.12659/msm.911645
- https://doi.org//10.1371/journal.pone.0211833
- https://doi.org//10.3390/medicina57060622
- https://doi.org//10.1523/jneurosci.1532-14.2015
- https://doi.org//10.1111/ane.13493
- https://doi.org//10.3390/jcm9093053
- https://doi.org//10.1038/s41598-020-79431-7
- https://doi.org//10.1155/2018/5158724
- https://doi.org//10.1016/j.ajem.2016.11.037
- https://doi.org//10.2217/bmm-2016-0187
- https://doi.org//10.1093/jnci/dju124
- https://doi.org//10.5853/jos.2019.02236
- https://doi.org//10.1016/s1474-4422(09)70340-0
- https://doi.org//10.1016/j.jstrokecerebrovasdis.2015.09.013
- https://doi.org//10.1007/s12640-018-9890-6
- https://doi.org//10.1111/cns.12977
- https://doi.org//10.1016/j.pneurobio.2010.08.001
- https://doi.org//10.1038/sj.jcbfm.9600403
- https://doi.org//10.1186/s12974-017-1039-7
- https://doi.org//10.1161/circulationaha.116.025250
- https://doi.org//10.21037/jtd.2017.12.131
- https://doi.org//10.2147/ndt.S148073
- https://doi.org//10.1177/0300060519847866
- https://doi.org//10.1016/s1474-4422(05)70283-0
- https://doi.org//10.18632/oncotarget.20120
- https://doi.org//10.1097/md.0000000000013057
- https://doi.org//10.1016/j.wneu.2018.08.010
- https://doi.org//10.1038/s41598-019-52214-5
- https://doi.org//10.1016/j.wneu.2019.01.143
- https://doi.org//10.1097/md.0000000000016120
- https://doi.org//10.18632/oncotarget.20776
Usage metrics
Read the peer-reviewed publication
Categories
- Radiology and Organ Imaging
- Decision Making
- Autonomic Nervous System
- Cellular Nervous System
- Biological Engineering
- Central Nervous System
- Sensory Systems
- Neuroscience
- Endocrinology
- Artificial Intelligence and Image Processing
- Clinical Nursing: Tertiary (Rehabilitative)
- Image Processing
- Signal Processing
- Rehabilitation Engineering
- Biomedical Engineering not elsewhere classified
- Stem Cells
- Neurogenetics
- Developmental Biology