Association of fibrinogen level with early neurological deterioration among acute ischemic stroke patients with diabetes

Zhang

et al. 2020

Euro J of Neurology

Background and purpose Acute ischaemic stroke (AIS) is a vital cause of mortality and morbidity in China. Many AIS patients develop early neurological deterioration (END). This study aimed to construct a nomogram to predict END in AIS patients. Methods Acute ischaemic stroke patients in Nanjing First Hospital were recruited as the training cohort. Additional patients in Nantong Third People’s Hospital were enrolled as the validation cohort. Multivariate logistic regression was utilized to establish the nomogram. Discrimination and calibration performance of the nomogram were tested by concordance index and calibration plots. Decision curve analysis was employed to assess the utility of the nomogram. Results In all, 1889 and 818 patients were recruited in the training and validation cohorts, respectively. Age [odds ratio (OR) 1.075; 95% confidence interval (CI) 1.059–1.091], diabetes mellitus (OR 1.673; 95% CI 1.181–2.370), atrial fibrillation (OR 3.297; 95% CI 2.005–5.421), previous antiplatelet medication (OR 0.473; 95% CI 0.301–0.744), hyper‐sensitive C‐reactive protein (OR 1.049; 95% CI 1.036–1.063) and baseline National Institutes of Health Stroke Scale (OR 1.071; 95% CI 1.045–1.098) were associated with END and incorporated in the nomogram. The concordance index was 0.826 (95% CI 0.785–0.885) and 0.798 (95% CI 0.749–0.847) in the training and validation cohorts. By decision curve analysis, the model was relevant between thresholds of 0.06 and 0.90 in the training cohort and 0.08 and 0.77 in the validation cohort. Conclusions The nomogram composed of hyper‐sensitive C‐reactive protein, age, diabetes mellitus, atrial fibrillation, previous antiplatelet medication and baseline National Institutes of Health Stroke Scale may predict the risk of END in AIS patients.

Section: Introductionmentioning

confidence: 99%

A novel nomogram to predict early neurological deterioration in patients with acute ischaemic stroke

Zhang

et al. 2020

Euro J of Neurology

“…As previously described [11], a more sensitive END criterion was incorporated in the current study to improve the awareness of subtle clinical changes that may require clinical intervention. END was defined as an increase in the NIHSS score within 3 days after admission compared with the baseline NIHSS score, including the following scenarios: (1) ≥2 increases in the total NIHSS score; (2) ≥1 increase in specific sub-items on the NIHSS, namely, consciousness level (1a-1c) or movement ability (5a-6b); or (3) new onset neurological deficits despite no NIHSS score changes.…”

Section: Definition Of Endmentioning

confidence: 99%

Hypercoagulation on Thromboelastography Predicts Early Neurological Deterioration in Patients with Acute Ischemic Stroke

Shi

Zheng

et al. 2018

Cerebrovasc Dis

Background: Thromboelastography (TEG) provides an integrated measurement of blood coagulation function and has been reported to be a useful tool for predicting clinical outcomes in patients with cardiovascular diseases. We aimed to investigate the application of TEG on admission for predicting early neurological deterioration (END) in patients with acute ischemic stroke and its potential correlation with the evolution of ischemic lesions. Methods: Among patients consecutively admitted between January 1, 2016, and September 31, 2017, those presenting with mild and moderate acute ischemic stroke (National Institutes of Health Stroke Scale [NIHSS] score ≤14) within 24 h of stroke onset were identified and included in this study. TEG was performed on the first day of admission. END was defined as an increase of ≥1 on subitems of the NIHSS or the emergence of new symptoms within 72 h of admission. Demographics, lab test results, and TEG values were compared according to whether END occurred. A multiple logistic regression model was then developed to investigate the predictive power of TEG for END. Receiver operating characteristic (ROC) curves were then plotted to evaluate the optimal cutoff values. Results: Of the 246 eligible patients (mean age 65.3 ± 12.9 years, 73.6% male), END was identified in 72 (29.3%) patients. Patients with END corresponded to a higher proportion of females, a more prevalent history of diabetes mellitus (DM), higher baseline NIHSS scores, higher serum high-sensitivity C-reactive protein (hsCRP) levels, and significantly shorter R on TEG (4.0 ± 1.0 vs. 4.7 ± 1.2 min, p < 0.001). In further comparisons stratified by R tertiles, significant trends were found between shorter R and being female and older and being more likely to exhibit diffusion weighted imaging progression on follow-up MRI. After adjusting for female sex, baseline NIHSS score, DM, and hsCRP, the lower tertile of R (R ≤3.8 min) was strongly associated with END (OR 3.556, 95% CI 1.165–10.856, p < 0.001). ROC analysis demonstrated that R ≤3.45 min had the best predictive value for END with 87.9% sensitivity and 40.3% specificity. Conclusion: Decreased R time on admission TEG is associated with END within 3 days in patients with acute ischemic stroke.

Clinical Laboratory Analysis

“…Therefore, it may play crucial role in the pathogenesis of cardiovascular disease. According to the recent literature, elevated levels of plasma FIB indicate an increased risk of cerebral infarction, coronary heart disease, and peripheral vascular disease in individuals …”

Section: Introductionmentioning

confidence: 99%

“…According to the recent literature, elevated levels of plasma FIB indicate an increased risk of cerebral infarction, coronary heart disease, and peripheral vascular disease in individuals. 20,21 At present, the diagnosis of ACI is mainly based on imaging findings, such as computed tomography (CT) or magnetic resonance imaging (MRI) scans, but it is difficult to equip such expensive equipment in the emergency department of most medical institutions. Furthermore, many primary hospitals still lack such equipment.…”

mentioning

confidence: 99%

Evaluation of lipoprotein‐associated phospholipase A2, serum amyloid A, and fibrinogen as diagnostic biomarkers for patients with acute cerebral infarction

Liang

ShiChuan

De-tai

et al. 2019

Objective The aim of this study was to explore the clinical values of combined detection of lipoprotein‐associated phospholipase A2 (Lp‐PLA2), serum amyloid A (SAA), and plasma fibrinogen (FIB) in the diagnosis of acute cerebral infarction (ACI). Methods A case‐control study including 100 hospitalized patients with ACI and 47 healthy controls was carried out. The level of Lp‐PLA2, SAA, and FIB was detected, respectively, and their clinical values were analyzed. Carotid lesions and neurological impairment were also analyzed in each patient. Results The level of Lp‐PLA2, SAA, and FIB in the ACI group was significantly higher than that of the controls, and the three biomarkers showed a significant positive correlation and were considered as risk factors for ACI. The area under the curve (AUC) for Lp‐PLA2, SAA, and FIB was 0.858, 0.743, and 0.672, respectively. When three biomarkers were used in combination, the AUC was 0.879. Compared with the other groups, the levels of three biomarkers in bilateral carotid plaque ACI group were all significantly higher. In addition, the level of Lp‐PLA2 and SAA in ACI patients with severe neurological impairment was also significantly higher than that of the mild‐to‐moderate group. Conclusion Lp‐PLA2 combined with SAA and FIB had a high clinical value for rapid diagnosis and prediction of ACI. These biomarkers were also significantly associated with the formation of bilateral carotid atherosclerotic plaques and the severe neurological impairment in ACI patients.