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Metabolic Syndrome Predicts Poor Outcome in Acute Ischemic Stroke Patients After Endovascular Thrombectomy

Authors Chen Z, Su M, Li Z, Du H, Zhang S, Pu M, Zhang Y 

Received 24 May 2020

Accepted for publication 10 August 2020

Published 7 September 2020 Volume 2020:16 Pages 2045—2052


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Yuping Ning

Zhonglun Chen, Mouxiao Su, Zhaokun Li, Hongcai Du, Shanshan Zhang, Mingjun Pu, Yun Zhang

Department of Neurology, MianYang Central Hospital, Mianyang, Sichuan 621000, People’s Republic of China

Correspondence: Yun Zhang
Department of Neurology, Mianyang Central Hospital, 12 Changjia Alley, Mianyang, Sichuan Province 621000, People’s Republic of China
Tel/ Fax +86 816-2246359
Email [email protected]

Background and Aims: The metabolic syndrome (MetS) is believed to contribute to a higher probability of developing cardiovascular diseases. This study aimed to investigate whether MetS could predict the prognosis in ischemic stroke patients after endovascular thrombectomy (EVT).
Methods: Between January 2016 and September 2019, patients treated with EVT due to large vessel occlusions in anterior circulation were prospectively recruited. MetS was defined using the International Diabetes Federation criteria after admission. The primary outcome was a 3-month poor outcome (modified Rankin scale score of 3– 6). Secondary outcomes included symptomatic intracranial hemorrhage (sICH) and mortality at 3 months. Multivariable logistic regression models were used to assess the relationship between MetS and clinical outcomes.
Results: A total of 248 patients were enrolled (mean age, 66.7 years; 37.5% female) and 114 (46.0%) met with the MetS criteria. The median National Institutes of Health Stroke Scale score was 15.0. There were 131 (52.8%) patients achieving the poor outcome at 3 months, among which 26 (10.5%) patients developed sICH. The mortality at 3 months was 19.0% (47/248). In multivariable analysis, MetS was significantly correlated to poor outcome (odds ratio [OR], 2.48; 95% confidence interval [CI], 1.29– 4.78, P = 0.014). The risk for poor outcome was positively associated with the increased number of MetS components (OR 1.78; 95% CI 1.39– 2.35, P = 0.001). No significant findings were found in the association of MetS with sICH and mortality.
Conclusion: Our data demonstrated that MetS was associated with poor prognosis in acute ischemic patients treated with EVT.

Keywords: metabolic syndrome, ischemic stroke, endovascular thrombectomy, prognosis


Stroke has been ranked as the first leading cause of major disability and mortality in China.1 Endovascular thrombectomy (EVT) has profoundly changed the landscape of acute stroke therapy in large vessel occlusions of the anterior circulation.24 This early identification of the patient’s prognosis is of vital importance for further improving the benefit of EVT.

The metabolic syndrome (MetS) is a highly prevalent constellation of vascular risk factors, including insulin resistance, central obesity, elevated blood pressure, and dyslipidemia.5 The epidemiological investigation demonstrated the prevalence of MetS has reached approximately 60% of the elderly Chinese population and it is projected to increase considerably.6 Moreover, data from the Guangdong Nutrition and Health Survey estimate that a total of 4.0 million residents aged 20 years or above have the MetS in southern China.7 Inflammatory state and coagulation system activation accompanied by MetS may confer higher risks for ischemic events.8 Guidelines for the prevention of stroke showed that MetS could predict cardiovascular disease including coronary heart disease and stroke, leading to increased mortality.9 MetS has been also reported to be associated with functional outcomes,10,11 and refractoriness to intravenous thrombolysis12 in acute ischemic stroke patients. To date, there remains a paucity of data from a prospective cohort examining the relationship between MetS and prognosis in ischemic stroke patients treated with EVT. We, therefore, performed this prospective study to investigate whether MetS could predict the functional outcome at 90 days in ischemic stroke patients after EVT treatment.


Study Design and Participants

We prospective recruited patients with EVT admitted to Mianyang Central Hospital between January 2016 and September 2019. The participants were screened consecutively based on the inclusion criteria: (1) acute ischemic stroke with occlusions of the internal carotid artery (ICA) or middle cerebral artery (MCA) confirmed by computed tomographic angiography, magnetic resonance angiography, or digital subtracted angiography; (2) aged ≥ 18 years; (3) pre-stroke modified Rankin Scale (mRS) score ≤ 2. Patients with severe renal disease and hepatic disease, cardiac insufficiency, tumor, and autoimmune disease were excluded. This study was approved by the ethics committee of Mianyang Central Hospital. The study was conducted under the declaration of Helsinki. Informed consent was obtained from participants or legal representatives. Several ischemic stroke patients admitted to hospital with severe neurological deficits, such as disturbance of consciousness. Therefore, the informed consents were obtained from their legal representatives.

Data Collection

We collected patient’s demographic characteristics, traditional risk factors, baseline clinical data, imaging data, and procedure-related characteristics. The baseline stroke severity was assessed by trained neurologists using the National Institutes of Health Stroke Scale (NIHSS).13 Ischemic stroke subtype was classified based on the trial of ORG 10,172 in Acute Stroke Treatment classification.14 The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) was used to evaluate the extent of preoperative early cerebral ischemia.15 The collateral circulation status was evaluated using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) and defined ASITN/SIR ≥ 2 as a good collateral circulation.16 Successful vascular recanalization was defined as the modified Thrombolysis in Cerebral Infarction scale 2b/3.17 Symptomatic intracranial hemorrhage (sICH) was diagnosed according to Heidelberg Bleeding Classification.18

Definition of MetS

MetS was defined according to the International Diabetes Federation criteria.19 Individuals were considered to have MetS if they had central obesity (waist circumference ≥ 90 cm for Asian men or ≥ 80 cm for Asian women) plus any 2 of 4 additional components. These 4 risk components are as follows: (1) triglyceride (TG) ≥ 1.70mmol/L; (2) Decreased HDL-cholesterol < 1.03 mmol/L in male and < 1.29 mmol/L in female (or specific treatment for these lipid abnormalities); (3) elevated blood pressure: systolic blood pressure ≥ 130mmHg, or diastolic blood pressure ≥ 85mmHg, or use for antihypertensive drugs; (4) hyperglycemia: fasting plasma glucose ≥ 5.6mmol/L or previously diagnosed type 2 diabetes.

Clinical Outcomes

The 90-day functional outcomes after stroke were evaluated using mRS by outpatient service, the medical information provided by the rehabilitation hospital, and the telephone interview. The primary outcome was the unfavorable functional outcome (mRS of 3–6). Secondary outcomes included sICH with 72 hours and mortality at 3 months.

Statistical Analysis

Continuous variables were presented as mean (SD, standard deviation) and median (interquartile range) and categorical variables as number (percentage). Differences in baseline characteristics between groups were analyzed using independent sample t-tests, and Mann–Whitney U-tests for continuous variables, and the chi-square test or fisher’s exact test for categorical variables, as appropriate. Binary logistic regression analysis with 2 models was performed to estimate the risk of 3-month unfavorable outcome by calculating odds ratios (OR) and 95% confidence intervals (CI). Model 1 was adjusted for age and gender. Model 2 included the factors in model 1 as well as variables with P < 0.1 in univariate analysis (including atrial fibrillation, onset to treatment time, puncture to recanalization, baseline NIHSS score, baseline ASPECTS, prior IVT, collateral circulation status, total passes of stent retriever, successful recanalization, vascular occlusion site, and Hs-CRP levels). We also used the ordinal logistic regression analysis to estimate an effect of MetS across the entire range of the mRS score. All P values were 2 tailed, and a significance level of 0.05 was used. Statistical analysis was performed using SPSS 24.0 (IBM, Chicago, IL, USA).


A total of 248 patients (mean age, 66.7 years; 37.5% female) were included with large vessel occlusions in the anterior circulation treated by EVT. Demographics, clinical, and radiological characteristics, as well as clinical outcomes in the study cohort, are summarized in Table 1. Median onset to treatment time was 220.5 minutes. The median NIHSS was 15 (IQR 11–20) at baseline and the median ASPECTS was 10 (IQR 9–10). Vascular occlusion site was as follows: MCA-M1 138 (55.6%), MCA-M2 15 (6.0%) and ICA 95 (38.3%). sICH was diagnosed in 26 patients (10.5%) within 72 hours after EVT treatment. MetS was present in 46.0% of the participants. As compared with subjects without MetS, patients with MetS were more likely to be female and older, and had a higher prevalence of diabetes mellitus and atherosclerotic stroke, and had a higher level of waist circumference, blood pressure, baseline NIHSS score, blood glucose and, Hs-CRP. There were 131 patients (52.8%) who developed an unfavorable functional outcome (mRS 3–6). The overall mortality was 47 (19.0%) at 90 days after EVT. Unfavorable functional outcome was more prevalent in patients with MetS than in patients without it (63.2% versus 44.0%; P = 0.003). No significant findings were found in association of MetS with sICH (9.6% versus 11.2%; P =0.692) and mortality (21.9% versus 16.4%; P = 0.270) at 3 months.

Table 1 Comparison of Baseline Data in Patients with and Without MetS

Comparison of baseline data in patients with and without 3-month poor outcome is showed in Table 2. In univariate analysis, the prevalence of atrial fibrillation in patients with unfavorable outcome was higher (48.1% versus 32.5%; P = 0.009). Baseline systolic blood pressure was higher in patients with unfavorable outcome (median 158 versus 150; P = 0.012). Patients with 3-month poor outcome had lower baseline ASPECT scores (median, 8.0 versus 9.0; P = 0.001) and higher baseline NIHSS scores (median, 16 versus 14; P = 0.001). Prior IVT was less prevalent in patients with poor outcome (61.8% versus 74.4%; P = 0.035). Unfavorable outcome was associated with longer delay from symptom onset to treatment (median, 240 versus 220 minutes; P = 0.001), and longer puncture to recanalization (median, 65 versus 55 minutes; P = 0.035). Moreover, unfavorable outcome lowered successful recanalization ratio (54.2% versus 94.0%; P = 0.001).

Table 2 Comparison of Baseline Data in Patients with and Without 3-Month Poor Outcome

In univariate logistic analysis, MetS (OR, 2.18; 95% CI, 1.31–3.63; P = 0.003), increased numbers of MetS components (OR, 1.89; 95% CI, 1.46–2.44, P = 0.001), low HDL-C (OR, 3.13; 95% CI, 1.83–5.36; P = 0.001), elevated blood pressure (OR, 2.79; 95% CI, 1.48–5.26; P = 0.002), and elevated blood glucose (OR, 2.05; 95% CI, 1.04–4.06; P = 0.038) were associated with 3-month unfavorable outcome after EVT (Table 3). After controlled for age, gender, atrial fibrillation, onset to treatment time, puncture to recanalization, baseline NIHSS score, baseline ASPECTS, prior IVT, collateral circulation status, total passes of stent retriever, recanalization, vascular occlusion site, and Hs-CRP levels, this associations remained significant.

Table 3 OR and 95% CI Between MetS and 3-Month Poor Outcome in Patients After Endovascular Thrombectomy

Figure 1 shows the overall distribution of mRS score stratified by patients with and without MetS. The adjusted odds ratio of ordinal logistic regression analysis illustrated that patients with MetS have increased mRS scores (OR, 1.82; 95% CI, 1.16–2.82; P = 0.009).

Figure 1 Distribution of modified Rankin Scale (mRS) score at 90 days in patients with and without metabolic syndrome (MetS). There was a significant difference in the overall distribution of mRS score by ordinal regression analysis (adjusted odds ratio, 1.82; 95% confidence interval, 1.16–2.82, P =0.009). Odds ratio was adjusted for the same variables in model 2 in Table 3


In this prospective study, we observed that MetS occurred in 46.0% of patients. MetS was associated with an increased risk of unfavorable functional outcome at 90 days in ischemic stroke treated with EVT. No significant findings were found in the association of MetS with sICH and mortality at 3 months.

MetS is a growing public health problem worldwide. Findings from the third National Health and Nutrition Examination Survey reported the prevalence of MetS was approximately 40% in adults in the United States.20 A longitudinal study performing in China showed that the 5-year cumulative incidence of MetS was 10.8% in 2007 to 2012.21 Most researches on MetS with cardiovascular disease have been restricted to stroke prevention rather than prognosis. Our study extended the current knowledge about the detrimental effect of MetS in ischemic stroke as it unveiled a significant association between MetS and poor prognosis in EVT patients. The mechanisms underlying the detrimental effect of MetS on the stroke prognosis after EVT are not well defined, but several explanations may account for this phenomenon. MetS has been reported to be associated with a proinflammatory state, platelet activation, impairments in endogenous fibrinolytic capacity, and endothelial dysfunction, all of which may amplify neuron damage, hamper arterial recanalization and induce vascular re-occlusion of EVT treatment.8,22 The mortality ratio in this study was slightly higher in patients with MetS than those without it (21.9% versus 16.4%). However, the difference did not reach statistical significance (P = 0.270). Atherosclerosis may challenge the passage of the retriever devices to the targeting lesions. Repeated thrombectomy may cause intima injury and may be related to a higher risk for sICH.23 As MetS have been implicated in the pathophysiology of atherosclerosis,24 we, therefore, hypothesized that the MetS might be associated with sICH. However, we also did not find a significant association between MetS and sICH rates. This discrepancy probably was due to the small sample size. Further studies with large sample size are needed to assess this association.

Obesity, defining based on either waist circumference or body mass index, is a fundamental component of MetS. The role of obesity in the prognosis of stroke has been questioned of debate. A post hoc analysis of the MR CLEAN trial demonstrated that a shift toward a better functional outcome with higher body mass index, and mortality was inversely related to body mass index;25 while some other studies showed no significant favorable effect, or negative effect of obesity on outcome after recanalization treatment.26,27 Similarly, our present study did not find a significant association between increased waist circumference and clinical outcomes after EVT. This discrepancy might be due to the differences in study populations and study methods, especially in the definition of obesity. On the other hand, our data confirmed the adverse effect of hyperglycemia on functional outcome in stroke patients after revascularization therapy. It can cause intracellular acidosis and mitochondrial dysfunction and enhance the generation of reactive oxygen species and extracellular glutamate, which might induce the exaggeration of neuronal damage and disruption of blood-brain barrier.2830 These results highlighted the need for further randomized controlled trials to determine whether the modulation of blood glucose within an appropriate range could improve functional outcomes in ischemic stroke treated with EVT.

The present study has some limitations. First, the study was performed in one stroke center with 248 patients treated with EVT, which limited the generalizability of our results to other populations. Second, the definition of MetS varies among different studies.1012 However, the definition in our study has been widely used in the Asian population. Third, stress hyperglycemia occurs in a relatively high proportion of acute stroke patients. Therefore, it is possible that the blood glucose used for defining MetS in the present study does not accurately reflect pre-stroke metabolic status. Finally, some potential confounders were not available in this study, such as non-HDL cholesterol, blood pressure variability, and chronic kidney disease. Our results should be cautiously interpreted and replicated in a larger series of patients. Despite these limitations, the strengths of our study include using standardized research methods, prospective design, and recruiting a homogeneous population of EVT patients, all of which makes this group appropriate for examining the relationship between MetS and clinical outcomes. The present study is the first attempt to detect the effects of MetS and its components on the prognosis of patients with EVT. Importantly, as a practical consequence of this observation, the diagnosis of MetS may allow a prior identification of a subgroup of patients who are candidates for a more or less postprocedural intensive management.

In conclusion, our study showed that MetS is associated with an increased risk of poor outcome at 90 days in patients with acute ischemic stroke due to large vessel occlusion of the anterior circulation and treated with EVT. Further studies with large patient groups and other populations are needed to investigate this effect comprehensively. Potential pathophysiological mechanisms and therapeutic considerations also remain to be determined.

Data Sharing Statement

The data that support the findings of this study are available on request from the corresponding author.


The authors report no funding and no conflicts of interest for this work.


1. Wu S, Wu B, Liu M, et al. Stroke in china: advances and challenges in epidemiology, prevention, and management. Lancet Neurol. 2019;18:394–405. doi:10.1016/S1474-4422(18)30500-3

2. Campbell B, Mitchell P, Kleinig T, et al. Endovascular therapy for ischemic stroke with perfusion-imaging selection. N Engl J Med. 2015;372(11):1009–1018. doi:10.1056/NEJMoa1414792

3. Goyal M, Demchuk A, Menon B, et al. Randomized assessment of rapid endovascular treatment of ischemic stroke. N Engl J Med. 2015;372(11):1019–1030. doi:10.1056/NEJMoa1414905

4. Jovin TG, Chamorro A, Cobo E, et al. Thrombectomy within 8 hours after symptom onset in ischemic stroke. N Engl J Med. 2015;372(11):2296–2306. doi:10.1056/NEJMoa1503780

5. Haffner S, Taegtmeyer H. Epidemic obesity and the metabolic syndrome. Circulation. 2003;108(13):1541–1545. doi:10.1161/01.CIR.0000088845.17586.EC

6. Liu M, Wang J, Jiang B, et al. Increasing prevalence of metabolic syndrome in a chinese elderly population: 2001–2010. 2013;8(6):e66233.

7. Lao X, Zhang Y, Wong M, et al. The prevalence of metabolic syndrome and cardiovascular risk factors in adults in southern china. BMC Public Health. 2012;12:64. doi:10.1186/1471-2458-12-64

8. van Rooy MJ, Pretorius E. Metabolic syndrome, platelet activation and the development of transient ischemic attack or thromboembolic stroke. Thromb Res. 2015;135(3):434–442. doi:10.1016/j.thromres.2014.12.030

9. Kernan W, Ovbiagele B, Black H, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the american heart association/american stroke association. Stroke. 2014;45:2160–2236. doi:10.1161/STR.0000000000000024

10. Oh M, Ko S, Lee S, et al. Association between metabolic syndrome and functional outcome in patients with acute ischaemic stroke. Eur J Neurol. 2014;21(1):177–179. doi:10.1111/ene.12128

11. Liu L, Zhan L, Wang Y, et al. Metabolic syndrome and the short-term prognosis of acute ischemic stroke: a hospital-based retrospective study. Lipids Health Dis. 2015;14:76. doi:10.1186/s12944-015-0080-8

12. Dorado L, Arenillas J, López-Cancio E, et al. Metabolic syndrome predicts refractoriness to intravenous thrombolysis in acute ischemic stroke. J Stroke Cerebrovasc Dis. 2015;24(11):2605–2612. doi:10.1016/j.jstrokecerebrovasdis.2015.07.015

13. Brott T, Adams J, Olinger C, et al. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20(7):864–870. doi:10.1161/01.STR.20.7.864

14. Adams HJ, Bendixen B, Kappelle L, Biller J, Love B, Gordon D. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. Toast. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24(1):35–41. doi:10.1161/01.STR.24.1.35

15. Barber P, Demchuk A, Zhang J, Buchan A. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. Aspects study group. Alberta stroke programme early ct score. Lancet. 2000;355(9216):1670–1674. doi:10.1016/S0140-6736(00)02237-6

16. Zaidat O, Yoo A, Khatri P, et al. Recommendations on angiographic revascularization grading standards for acute ischemic stroke: a consensus statement. Stroke. 2013;44(9):2650–2663. doi:10.1161/STROKEAHA.113.001972

17. Zhang X, Yuan K, Wang H, et al. Nomogram to predict mortality of endovascular thrombectomy for ischemic stroke despite successful recanalization. J Am Heart Assoc. 2020;9(3):e014899. doi:10.1161/JAHA.119.014899

18. von Kummer R, Broderick JP, Campbell BC, et al. The heidelberg bleeding classification: classification of bleeding events after ischemic stroke and reperfusion therapy. Stroke. 2015;46(10):2981–2986. doi:10.1161/STROKEAHA.115.010049

19. Alberti K, Zimmet P, Shaw J. Metabolic syndrome–a new world-wide definition. A consensus statement from the international diabetes federation. Diabet Med. 2006;23(5):469–480. doi:10.1111/j.1464-5491.2006.01858.x

20. Ford E, Giles W, Dietz W. Prevalence of the metabolic syndrome among us adults: findings from the third national health and nutrition examination survey. JAMA. 2002;287(3):356–359. doi:10.1001/jama.287.3.356

21. Tao L, Li X, Zhu H, et al. Association of hematological parameters with metabolic syndrome in beijing adult population: a longitudinal study. Endocrine. 2014;46(3):485–495. doi:10.1007/s12020-013-0067-z

22. Arenillas J, Moro M, Dávalos A. The metabolic syndrome and stroke potential treatment approaches. Stroke. 2007;38(7):2196–2203. doi:10.1161/STROKEAHA.106.480004

23. Pirson F, Hinsenveld W, Staals J, et al. The effect of body mass index on outcome after endovascular treatment in acute ischemic stroke patients: a post hoc analysis of the mr clean trial. Cerebrovasc Dis. 2019;48(3–6):200–206.

24. AA R. Cytokine biomarkers, endothelial inflammation, and atherosclerosis in the metabolic syndrome: emerging concepts. Am J Med Sci. 2009;338:310–318. doi:10.1097/MAJ.0b013e3181a4158c

25. Pirson F, Hinsenveld W, Staals J, et al. The effect of body mass index on outcome after endovascular treatment in acute ischemic stroke patients: a post hoc analysis of the mr clean trial. Cerebrovasc Dis. 2019;48:200–206.

26. Bouslama M, Perez H, Barreira C, et al. Body mass index and clinical outcomes in large vessel occlusion acute ischemic stroke after endovascular therapy. Interv Neurol. 2020;8:144–151. doi:10.1159/000496703

27. Branscheidt M, Schneider J, Michel P, et al. No impact of body mass index on outcome in stroke patients treated with iv thrombolysis BMI and iv thrombolysis outcome. PLoS One. 2016;11(10):e0164413. doi:10.1371/journal.pone.0164413

28. Palaiodimou L, Lioutas V, Lambadiari V, et al. Glycemia management in acute ischemic stroke: current concepts and novel therapeutic targets. Postgrad Med. 2019;131(7):423–437. doi:10.1080/00325481.2019.1651206

29. Otero-Ortega L, Gutiérrez-Fernández M, Gutiérrez-Zúñiga R, et al. The effect of post-stroke hyperglycaemia on the levels of brain damage and repair-related circulating biomarkers: the glycaemia in acute stroke study ii. Eur J Neurol. 2019;26:1439–1446. doi:10.1111/ene.14010

30. Tsivgoulis G, Katsanos A, Mavridis D, et al. Association of baseline hyperglycemia with outcomes of patients with and without diabetes with acute ischemic stroke treated with intravenous thrombolysis: a propensity score-matched analysis from the sits-istr registry. Diabetes. 2019;68:1861–1869. doi:10.2337/db19-0440

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