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Guo P, Zou W. Neutrophil-to-lymphocyte ratio, white blood cell, and C-reactive protein predicts poor outcome and increased mortality in intracerebral hemorrhage patients: a meta-analysis. Front Neurol 2024; 14:1288377. [PMID: 38288330 PMCID: PMC10824245 DOI: 10.3389/fneur.2023.1288377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/29/2023] [Indexed: 01/31/2024] Open
Abstract
Objective Inflammation participates in the pathology and progression of secondary brain injury after intracerebral hemorrhage (ICH). This meta-analysis intended to explore the prognostic role of inflammatory indexes, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), white blood cell (WBC), and C-reactive protein (CRP) in ICH patients. Methods Embase, PubMed, Web of Science, and Cochrane Library were searched until June 2023. Two outcomes, including poor outcome and mortality were extracted and measured. Odds ratio (OR) and 95% confidence interval (CI) were presented for outcome assessment. Results Forty-six studies with 25,928 patients were included in this meta-analysis. The high level of NLR [OR (95% CI): 1.20 (1.13-1.27), p < 0.001], WBC [OR (95% CI): 1.11 (1.02-1.21), p = 0.013], and CRP [OR (95% CI): 1.29 (1.08-1.54), p = 0.005] were related to poor outcome in ICH patients. Additionally, the high level of NLR [OR (95% CI): 1.06 (1.02-1.10), p = 0.001], WBC [OR (95% CI): 1.39 (1.16-1.66), p < 0.001], and CRP [OR (95% CI): 1.02 (1.01-1.04), p = 0.009] were correlated with increased mortality in ICH patients. Nevertheless, PLR was not associated with poor outcome [OR (95% CI): 1.00 (0.99-1.01), p = 0.749] or mortality [OR (95% CI): 1.00 (0.99-1.01), p = 0.750] in ICH patients. The total score of risk of bias assessed by Newcastle-Ottawa Scale criteria ranged from 7-9, which indicated the low risk of bias in the included studies. Publication bias was low, and stability assessed by sensitivity analysis was good. Conclusion This meta-analysis summarizes that the high level of NLR, WBC, and CRP estimates poor outcome and higher mortality in ICH patients.
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Affiliation(s)
- Peixin Guo
- Integrated Traditional Chinese and Western Medicine, Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Wei Zou
- Third Ward of Acupuncture Department, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
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Li JB, Lin XR, Huang SN, He Q, Zheng Y, Li QX, Lin FX, Zhuo LY, Lin YX, Kang DZ, Ma K, Wang DL. High Plasma Fibrinogen Level Elevates the Risk of Cardiac Complications Following Spontaneous Intracerebral Hemorrhage. World Neurosurg 2023; 180:e774-e785. [PMID: 37839573 DOI: 10.1016/j.wneu.2023.10.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/07/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Cardiac complications are related to poor prognosis after spontaneous intracerebral hemorrhage (ICH). This study aims to predict the cardiac complications arising from small intracranial hematoma at ultraearly stage. METHODS The data of this work were derived from the Risk Stratification and Minimally Invasive Surgery in Acute ICH Patients study (ClinicalTrials.gov Identifier: NCT03862729). This work included patients with ICH but without brain herniation, as confirmed by a brain computed tomography scan within 48 hours of symptom onset. Every Patient's information recorded at the emergent department, including clinical, laboratory, electrocardiogram, and medical records, was derived from the electronic data capture. Cardiac complications were defined as the occurrence of myocardial damage, arrhythmias, and ischemic electrocardiogram changes during hospitalization. Variables associated with cardiac complications were filtrated by univariate and multivariate regression analyses. Independent risk factors were used to form the early predictive model. The restricted cubic splines were employed to investigate the nonlinear associations in a more sophisticated and scholarly manner. RESULTS A total of 587 ICH patients were enrolled in this work, including 72 patients who suffered from cardiac complications after ICH. Out of the 78 variables, 24 were found to be statistically significant in the univariate logistic regression analysis. These significant variables were then subjected to multivariate logistic regression analysis and utilized for constructing risk models. Multivariate logistic regression analysis showed high plasma fibrinogen (FIB) level [odds ratio (OR) per standard deviation (SD) 1.327, 95% confidence intervals (CI) 1.037-1.697; P = 0. 024)] and older age (OR per SD 1.777, 95% CI 1.344-2.349; P <0.001) were associated with a higher incidence of cardiac complications after ICH. High admission pulse rate (OR 0.620, 95% CI 0.451-0.853; P = 0. 003) was considered a protective factor for cardiac complications after ICH. In the restricted cubic spline regression model, FIB and cardiac complications following ICH were positively correlated and almost linearly (P for nonlinearity = 0.073). The reference point for FIB in predicting cardiac complications after ICH was 2.64 g/L. CONCLUSIONS Emergent factors, including plasma FIB level, age, and pulse rate, might be independently associated with cardiac complications after ICH, which warrants attention in the context of treatment.
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Affiliation(s)
- Jie-Bo Li
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xin-Ru Lin
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Shu-Na Huang
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qiu He
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yan Zheng
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qi-Xuan Li
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Fu-Xin Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Institute for Brain Disorders and Brain Science, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Ling-Yun Zhuo
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yuan-Xiang Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Institute for Brain Disorders and Brain Science, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - De-Zhi Kang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Institute for Brain Disorders and Brain Science, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Ke Ma
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Deng-Liang Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neurosurgery, Binhai Branch of National Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Institute for Brain Disorders and Brain Science, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
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Qiu W, Li W, Xu K, Zhu G, Luo H, Deng Y, Qin Z, Zeng K, Wei Y, Lin X. Prognostic significance of fibrinogen and neutrophil/lymphocyte ratio score and D-dimer/Albumin ratio for prognosis in patients with aneurysmal subarachnoid hemorrhage. J Stroke Cerebrovasc Dis 2023; 32:107338. [PMID: 37690163 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/26/2023] [Accepted: 08/31/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND Recent research indicates that systemic inflammation significantly affects the overall prognosis of individuals with aneurysmal subarachnoid hemorrhage. To delve deeper into this issue, a retrospective study was undertaken. The study aimed to investigate the relationship between fibrinogen and neutrophil/lymphocyte ratio scores, D-dimer/Albumin ratios, and the Glasgow Outcome Scale at 6 months post-discharge for patients with aSAH. METHODS A retrospective analysis was conducted on 321 patients who experienced aneurysmal subarachnoid hemorrhage. These patients were monitored using the Glasgow Outcome Scale six months after being discharged from Huizhou Central People's Hospital. Patients with GOS scores between 1 and 3 were classified as having a poor prognosis, while those with scores ranging from 4 to 5 were considered to have a good prognosis. To create distinct sets, patients were randomly divided into both training and validation groups. The best cut-off value for the D-dimer/Albumin ratio was established through ROC curves, and the scores for fibrinogen and the neutrophil/lymphocyte ratio were calculated. Utilizing multivariate logistic regression analysis, independent risk factors linked to an unfavorable prognosis in aSAH patients were identified. A nomogram model was developed and validated based on these findings, providing an improved approach for evaluating the prognostic influence of risk factors. To gauge the model's predictive performance, several analytical tools such as ROC curves, calibration curves, and decision curve analysis were employed. This comprehensive approach ensured a thorough assessment of the prognostic prediction capabilities of the model. RESULTS Multivariate regression analysis revealed that Age (OR=3.87, 95%CI=1.54-9.73, p=0.004), Pneumonia (OR=3.54, 95%CI=1.41-8.86, p=0.007), WFNS (OR=3.24, 95%CI=1.23-8.54, p=0.017), DAR (OR=2.88, 95%CI=1.13-7.34, p=0.027), and F-NLR (OR=3.12, 95%CI=1.22-7.97, p=0.017) were identified as independent risk factors influencing the prognosis of patients with aSAH. Additionally, the area under the ROC curve was 0.866 (95%CI=0.805-0.927) for the training set and 0.924 (95%CI=0.849-0.999) for the validation set. The calibration curve analysis demonstrated a minor error of 0.02 for the training set and 0.051 for the validation set. Furthermore, both the training set and validation set displayed significant clinical benefits according to the DCA curves, underscoring the meaningful utility of the developed nomogram. CONCLUSIONS Fibrinogen and neutrophil/lymphocyte ratio scores, and the D-dimer/Albumin ratio emerged as significant independent risk factors for prognosticating the outcomes of patients with aSAH. Leveraging these factors, a robust nomogram model was meticulously developed, showcasing its impressive precision in prognostic predictions. These results underscore the promising clinical applicability of these biomarkers as effective prognostic indicators for individuals afflicted by aSAH.
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Affiliation(s)
- Wenjie Qiu
- Guangdong Medical University, Zhanjiang, China
| | - Wencai Li
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
| | - Ke Xu
- Guangdong Medical University, Zhanjiang, China
| | - Gang Zhu
- Guangdong Medical University, Zhanjiang, China; Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China.
| | - Honghai Luo
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
| | - Yifan Deng
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
| | - Zhongzong Qin
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
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Chu H, Huang C, Zhou Z, Tang Y, Dong Q, Guo Q. Inflammatory score predicts early hematoma expansion and poor outcomes in patients with intracerebral hemorrhage. Int J Surg 2023; 109:266-276. [PMID: 37093070 PMCID: PMC10389560 DOI: 10.1097/js9.0000000000000191] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 11/20/2022] [Indexed: 04/25/2023]
Abstract
BACKGROUND This study aimed to develop a prediction score named inflammatory score based on proper integration of several inflammatory markers and investigate whether it was associated with hematoma expansion and poor outcomes in patients with intracerebral hemorrhage (ICH). METHODS This study involved a consecutive series of spontaneous ICH patients of two cohorts admitted within 24 hours after symptom onset. Inflammatory score (0-9) was developed with the combination of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammation index, lactate dehydrogenase, and C-reactive protein. The authors investigated the association between inflammatory score and hematoma expansion and poor outcomes by using univariate and multivariate logistic regression analyses. The optimal cutoff point of inflammatory score was determined by receiver operating characteristic analysis in the development cohort and then validated. RESULTS A total of 301 and 154 ICH patients were enrolled in the development and validation cohorts. Inflammatory score was significantly higher in patients with hematoma expansion and poor outcomes. The multivariate logistic regression analysis revealed inflammatory score was independently associated with hematoma expansion, secondary neurological deterioration within 48 hours, 30-day mortality, and 3-month poor modified Rankin scale (4-6). The diagnostic accuracy of inflammatory score exhibited by area under the curve showed numerically or statistically higher than most of the individual indicators. Moreover, inflammatory score greater than or equal to 5 was selected as the optimal cutoff point, which was further prospectively validated with high diagnostic accuracy. CONCLUSIONS The inflammatory score is a reliable predictor for early hematoma expansion and short-term and long-term poor outcomes with good diagnostic accuracies in ICH patients.
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Affiliation(s)
- Heling Chu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
| | - Chuyi Huang
- Health Management Center, School of Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University
| | - Zaiying Zhou
- Center for Statistical Science of Tsinghua University, Beijing, China
| | - Yuping Tang
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai
| | - Qiang Dong
- Center for Statistical Science of Tsinghua University, Beijing, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
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Hou Y, Li H, Yang H, Chen R, Yu J. Prognostic significance of combined score of fibrinogen and neutrophil-lymphocyte ratio for functional outcome in patients with aneurysmal subarachnoid hemorrhage. Front Neurol 2022; 13:916968. [PMID: 36051223 PMCID: PMC9424491 DOI: 10.3389/fneur.2022.916968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/18/2022] [Indexed: 11/28/2022] Open
Abstract
Objective To explore the relationship between fibrinogen and neutrophil to lymphocyte ratio (F-NLR) score and functional outcomes after aneurysmal subarachnoid hemorrhage (aSAH). Method A retrospective study was conducted that involved all consecutive patients with aSAH admitted to our institution from March 2018 to October 2021. Factors, such as demographics, comorbidities, clinical characteristics, neuroradiological data, and laboratory parameters, were collected from institutional databases. All patients achieved neurological assessment using the modified Rankin Scale (mRS) score 3 months after discharge to clarify the functional outcomes. The results were classified as favorable (mRS score 0–2) and unfavorable (mRS score 3–6). Univariate and multivariable analyses were performed to identify the relevant factors between inflammatory markers and functional outcomes after aSAH. Subsequently, a receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predicting performance of variables. A propensity score match (PSM) was performed to correct imbalances in patients' baseline characteristics. Results Finally, 256 patients with aSAH were included in the study cohort. A total of 94 (36.7%) patients had an unfavorable outcome. F-NLR scores were 0 [interquartile range (IQR) 0–1] and 1 (IQR 1–2) in patients with favorable and unfavorable outcomes, respectively (p < 0.001). After adjustment, the F-NLR score on admission remained significantly associated with unfavorable outcomes in patients with aSAH. In the multivariable analysis, the F-NLR score was regarded as an independent risk factor of unfavorable outcomes [odds ratio (OR) 3.113, 95% CI 1.755–5.523, p < 0.001]. In ROC analysis, the optimal cutoff value of the F-NLR score was 0.5 points. Two cohorts (n = 86 in each group) obtained from PSM with low F-NLR scores (0 points) and high F-NLR scores (1–2 points) were used for analysis. A significantly higher unfavorable functional outcome rate was observed in patients with high F-NLR scores (33.7 vs. 9.3%, p < 0.001). The area under the curve (AUC) values of F-NLR scores before and after PSM were 0.767 and 0.712, respectively. Conclusion Fibrinogen and neutrophil to lymphocyte ratio score was an independent risk parameter associated with unfavorable functional outcomes at 3 months after aSAH. A higher F-NLR score predicts the occurrence of poor functional outcomes.
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