Skip to main content

Postoperative blood glucose increase is associated with futile recanalization in patients with successful thrombectomy: a retrospective study

Abstract

Background

Timely recognition of futile recanalization might enable a prompt response and an improved outcome in post-thrombectomy patients. This study aims to evaluate whether postoperative blood glucose increase (BGI) could act as an indicator of futile recanalization in patients receiving a successful thrombectomy.

Methods

This is a single-center, retrospective analysis of patients with anterior circulation large-vessel occlusion and successful thrombectomy between February 2019 and June 2022. BGI was defined as a higher level of blood glucose at the first postoperative morning than at admission. Futile recanalization was defined as patients with a modified Rankin Scale score of 3–6 at 90 days after onset. Multivariable binary logistic regression was used to assess the association of BGI with futile recanalization.

Results

A total of 276 patients were enrolled, amongst which 120 patients (43.5%) had BGI. Futile recanalization was more prevalent among patients with BGI compared to those without (70.0 vs. 49.4%, P = 0.001). After adjusting for potential confounders, BGI was associated with a higher likelihood of futile recanalization (adjusted OR: 2.97, 95%CI: 1.50–5.86, P = 0.002). This association was consistently observed regardless of diabetes history, occlusion site, time from symptom onset to groin puncture, or reperfusion status.

Conclusion

Our findings support BGI serving as an indicator of futile recanalization in patients with anterior circulation large-vessel occlusion and successful thrombectomy.

Peer Review reports

Introduction

Mechanical thrombectomy has now emerged as the standard treatment for acute ischemic stroke due to proximal intracranial large-vessel occlusion [1]. However, approximately half of treated patients do not achieve functional independence despite receiving a successful recanalization [2]. This phenomenon has been termed futile recanalization [3]. As timely recognition of futile recanalization could enable a prompt response and an improved outcome, identification of its indicators has been hotly investigated in recent years [4].

Elevated blood glucose is commonly observed in patients with acute stroke [5]. The mechanisms may be due to underlying diabetes mellitus and/or stress-induced release of norepinephrine and cortisol [6]. Elevated blood glucose at admission has been reported to be associated with poor functional outcome after mechanical thrombectomy [7]. However, the relationship between elevated blood glucose at admission and futile recanalization is uncertain. Several studies found higher blood glucose at admission significantly corresponded with the likelihood of futile recanalization [8, 9], and yet other studies did not confirm the relation between elevated blood glucose at admission and futile recanalization [10, 11]. These results suggest that one isolated glucose test at admission might be insufficient for predicting functional outcome in patients with successful thrombectomy. Recently, perioperative glucose dynamics were shown to be a valuable marker for adverse outcome in patients who underwent thrombectomy [12]. Persistent ischemia during futile recanalization would theoretically induce a longer stress response that may result in a higher postoperative blood glucose compared to blood glucose at admission [5, 13]. Therefore, perioperative glucose dynamics might be a potential indicator for futile recanalization. This study aims to evaluate whether postoperative blood glucose increase (BGI) could act as an indicator of futile recanalization in patients with successful thrombectomy.

Methods

Study participants

Between February 2019 and June 2022, patients undergoing mechanical thrombectomy at Central Hospital of Dalian University of Technology for acute large-vessel occlusion were recruited for this retrospective study. The Central Hospital of Dalian University of Technology Ethics Committee approved the study (2019–004–11) to obtain retrospective anonymized patient data from the clinical database of the Central Hospital of Dalian University of Technology with a waiver of written informed consent. Patients were included if they (1) had a proximal anterior circulation occlusion (intracranial internal carotid artery, middle cerebral artery (M1 or M2 segment), or both); (2) were older than 18 years; (3) had a pre-stroke modified Rankin Scale (mRS) ≤ 2; (4) had a successful recanalization defined as a final modified Thrombolysis in Cerebral Infarction (mTICI) score of 2b or 3; (5) had blood tests for glucose at admission and at the first postoperative morning; and (6) had a functional outcome assessment using mRS at 90 days. The patients were managed according to current guidelines.

Data collection and variable definitions

The following data was collected: age, sex, body mass index, pre-stroke mRS scores, medical history (hypertension, diabetes mellitus, antidiabetic treatment, previous ischemic stroke or transient ischemic attack, atrial fibrillation, and current smoking), systolic and diastolic blood pressure at admission, baseline National Institutes of Health Stroke Scale (NIHSS) score, baseline Alberta Stroke Program Early CT Score (ASPECTS), treatment with intravenous thrombolysis, occlusion site determined by digital subtraction angiography, collateral status, anesthesia type, time from symptom onset to groin puncture, time from stroke onset to reperfusion, device-pass number, reperfusion status, stroke subtype according to the Trial of Org 10172 in Acute Stroke Treatment classification [14], symptomatic intracranial hemorrhage (SICH), and blood tests (glucose, neutrophil count, and lymphocyte count) at admission and at the first postoperative morning.

Postoperative blood glucose change (BGC) was defined as the blood glucose at the first postoperative morning minus that at admission, and BGI as a BGC > 0 mmol/L. The neutrophil-to-lymphocyte ratio was calculated by dividing the neutrophil count by the lymphocyte count. Collateral status was evaluated at the pre-thrombectomy angiogram, which was dichotomized into good (grade 3–4) and poor (grade 0–2) collaterals according to the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology collateral flow grading system [15]. Reperfusion status was evaluated using the mTICI score [16]. SICH was defined as evidence of intracranial hemorrhage associated with an increase of 4 or more points on the NIHSS scores within 24 h after onset [17]. Imaging variables were analyzed by two experienced neurointerventionalists (> 10 years of experience) blinded to patient information.

Outcome

Futile recanalization was defined as patients with a mRS score of 3–6 at 90 days after onset, which was assessed by stroke neurologists during the clinical follow-up visits or via standardized telephone interviews with the patients or their caregivers.

Statistical analysis

Shapiro-Wilk test was used to test data distribution. Categorical variables were expressed as frequencies and percentages. Continuous variables were expressed as mean ± standard deviation (SD), or median (interquartile range (IQR)) when non-normally distributed. Baseline characteristics were compared using Student t test/Mann–Whitney U test, or χ2 test/Fisher’s exact test, as appropriate according to the type of variables and their distribution.

A restricted cubic spline model was performed to examine the shape of the correlation between BGC and futile recanalization. We selected four knots at 5th, 35th, 65th and 95th. The associations between BGC or BGI and futile recanalization was then evaluated by multivariable logistic regression models, adjusted for potential confounders (age, diastolic blood pressure at admission, baseline NIHSS score, blood glucose levels at admission, occlusion site, collateral status, time from stroke onset to reperfusion, and SICH). These confounders were selected based on statistical significance (P < 0.05) in the univariable analysis and the potential to affect patient outcomes [18]. Multiplicative interaction analyses were performed to evaluate the heterogeneity of the association of postoperative BGI with futile recanalization between subgroups of different categories including diabetes history, occlusion site (internal carotid artery vs. middle cerebral artery), time from symptom onset to groin puncture (≤ 360 vs. > 360 min), and reperfusion status (mTICI 2b vs. mTICI 3). Finally, we performed a sensitivity analysis on the likelihood of futile recanalization by comparing normoglycemic patients with BGI (≤ 7.8 mmol/L at the first postoperative morning) to those without BGI. We reported adjusted odds ratios (aOR) for multivariable analyses with a 95% confidence interval (CI). All tests were 2-tailed with a significance level of 0.05. All analyses were performed with STATA software version 17 (StataCorp LLC) and R software version 4.2.3.

Results

Baseline characteristics

The patient selection process is illustrated in Fig. 1. A total of 276 patients were included in this study. The median age was 69 (62–77) years and 88 patients (31.9%) were female. The patients had a median NIHSS score of 17 (13–22). Table 1 summarizes the baseline characteristics of all patients and patients with/without BGI. In total, 120 patients (43.5%) had BGI. Compared to patients without BGI, those with BGI had lower diastolic blood pressure (77.3 vs. 82.4 mmHg, P = 0.005) and blood glucose at admission (6.9 vs. 7.6 mmol/L, P = 0.001), as well as higher NIHSS scores (18 vs. 16, P = 0.009) and longer onset to reperfusion time (334 vs. 307 min, P = 0.033). The rates of SICH were similar in patients with and without BGI (6.7% vs. 9.0%, P = 0.483). The postoperative neutrophil-to-lymphocyte ratio was higher in patients with BGI than those without (8.6 [6.1–12.3] vs. 6.3 [4.1–9.7], P < 0.001; Fig. 2). Futile recanalization was more prevalent among patients with BGI compared to those without (70.0 vs. 49.4%, P = 0.001; Fig. 3).

Fig. 1
figure 1

Flowchart illustrating the study inclusion/exclusion and grouping process. MT mechanical thrombectomy, ICA internal carotid artery, M1, M2 the first and second segment of middle cerebral artery, mRS modified Rankin Scale, mTICI modified Thrombolysis in Cerebral Infarction, BGI blood glucose increase

Table 1 Baseline characteristics of all patients and patients with/without BGI
Fig. 2
figure 2

The postoperative neutrophil-to-lymphocyte ratio was higher in patients with BGI than those without (8.6 [6.1–12.3] vs. 6.3 [4.1–9.7], P < 0.001). BGI blood glucose increase

Fig. 3
figure 3

Distribution of modified Rankin Scale scores at 90 days after stroke according to postoperative BGI. BGI blood glucose increase

Relationship between BGC/BGI and outcome

In the restricted cubic spline regression model, the correlation between postoperative BGC and futile recanalization was linear (P for overall = 0.017; P for non-linearity = 0.207; Fig. 4). In multivariable analyses, postoperative BGC, as a continuous variable, was associated with an increased risk for futile recanalization (per 1 mmol/L: aOR: 1.23, 95%CI: 1.07–1.41, P = 0.003). Similarly, BGI, as a categorical variable, also increased the likelihood of futile recanalization (aOR: 2.97, 95%CI: 1.50–5.86, P = 0.002; Table 2). In subgroup analyses, BGI was associated with futile recanalization in patients with mTICI 3 reperfusion (aOR: 3.96, 95%CI 1.58–9.94, P = 0.003), but not in those with mTICI 2b reperfusion (aOR: 2.35, 95%CI 0.72–7.69, P = 0.204). However, an insignificant interaction between reperfusion status and BGI on futile recanalization was observed in the multiplicative interaction analysis (P = 0.178). Heterogeneity in the association of BGI with futile recanalization was also not observed when segmented based on diabetes history, occlusion site, or time from symptom onset to groin puncture (Fig. 5). The sensitivity analysis showed that normoglycemic patients with BGI were also prone to have futile recanalization compared to those without BGI (aOR: 2.68, 95%CI: 1.08–6.67, P = 0.034).

Fig. 4
figure 4

Cubic model of the association between postoperative blood glucose change and futile recanalization after adjusting for age, diastolic blood pressure at admission, baseline National Institutes of Health Stroke Scale score, blood glucose levels at admission, occlusion site, collateral status, time from stroke onset to reperfusion, and symptomatic intracranial hemorrhage

Table 2 Logistic regression of futile recanalization in patients with successful thrombectomy
Fig. 5
figure 5

Influence of BGI on futile recanalization in all patients and according to diabetes history, occlusion site, time from symptom onset to groin puncture, and reperfusion status. aOR was adjusted for age, diastolic blood pressure at admission, baseline NIHSS score, blood glucose levels at admission, occlusion site, collateral status, time from stroke onset to reperfusion, and SICH. BGI blood glucose increase, aOR adjusted odds ratios, NIHSS National Institutes of Health Stroke Scale, CI confidence interval, ICA internal carotid artery, MCA middle cerebral artery, mTICI modified Thrombolysis in Cerebral Infarction, SICH symptomatic intracranial hemorrhage

Discussion

This study demonstrated an association between postoperative BGI and futile recanalization in patients with acute anterior circulation large-vessel occlusion and successful thrombectomy. This association was consistently observed regardless of diabetes history, occlusion site, time from symptom onset to groin puncture, or reperfusion status.

In this study, we evaluated the relationship between glucose dynamics and futile recanalization. Previously, the predictive value of blood glucose dynamics had been evaluated in patients treated with intravenous thrombolysis using persistent hyperglycemia (≥ 144 mg/dL at admission and 24–48 h after onset) as a metric [19, 20]. Persistent hyperglycemia in these studies was linked to poorer functional outcomes. In another study, early persistent hyperglycemia (> 140 mg/dL at admission and 24 h after thrombectomy) in patients undergoing thrombectomy predicted adverse outcomes [12]. Instead of evaluating persistent hyperglycemia with a specific value as in previous studies, we introduced a new metric, BGI, to compare the levels of blood glucose after thrombectomy and at admission, which has the potential to accommodate patient-to-patient heterogeneity in blood glucose levels. Although not adequately evaluated in previous studies, it is assumed that BGI may be relevant to futile recanalization, even in normoglycemic cases. BGI is commonly observed after stroke, though not necessarily to hyperglycemic levels (> 140 mg/dL) [5]. In this circumstance, elevated blood glucose may still reflect sustained stress responses in futile recanalization [13]. Therefore, we selected BGI for evaluating glycemic dynamics in this study.

Our results showed that BGI was more often observed in patients with futile recanalization compared with those without. Furthermore, a multivariable regression showed BGI was associated with futile recanalization. The association maintained in subgroup analyses. However, the causative relationship between BGI and futile recanalization has yet to be proven. On the one hand, it is possible that a longer stress response due to futile recanalization could induce higher postoperative glucose levels compared to those at admission [13]. On the other hand, futile recanalization is thought to result from multiple mechanisms including inflammatory responses, no-reflow phenomenon, and reperfusion injury [21,22,23]. BGI may reveal persistently elevated glucose levels within 24 h after onset. This could lead to harmful effects in patients with successful thrombectomy through exacerbation of inflammatory responses, impaired cerebrovascular reactivity, intracellular acidosis, and increased vulnerability to reperfusion injury [6, 24].

Glucose lowering has not been demonstrated to be beneficial for patients with stroke in clinical trials [25, 26], few of which have evaluated the benefit in the thrombectomy setting. Our result might provide insight for future trials on post-thrombectomy glucose management. First, blood glucose level at admission might be a potential reference value for individualized glucose management. As stress-induced elevated glucose may initially function to provide the metabolic fuel needed to repair ischemic brain issue [27], early glucose control based on one standard cut-off value may be iatrogenic, impairing cerebral function particularly in patients with futile recanalization. Second, reperfusion status should be taken into account for glucose control during the acute phase [28]. BGI was associated with a higher likelihood of futile recanalization in patients with mTICI 3 reperfusion, implying that illogical blood glucose increase after complete reperfusion is detrimental. In contrast, BGI was not associated with futile recanalization in mTICI 2b reperfusion, indicating that blood glucose increase after incomplete reperfusion may be a protective compensation [29]. Therefore, we suggest exercising caution when lowering glucose in patients with incomplete reperfusion.

This study has several limitations. First, it is a single-center, retrospective study, which could inevitably cause selection bias. However, the results obtained seem both pathophysiologically plausible and clinically relevant. A prospective study is warranted to confirm the results obtained from this study. Second, BGI, defined by changes of perioperative blood glucose, could be affected by multiple factors, such as feeding status and postoperative hypoglycemic treatment, which might influence its reliability. Third, we assessed the dynamics of perioperative blood glucose only by two blood glucose tests, which may induce relatively high variability. Continuous glucose monitoring might be a preferable approach for future research to further elucidate the association between the dynamics of perioperative blood glucose and clinical outcomes in patients with successful recanalization. Nevertheless, the relative ease of obtaining BGI in a real-world clinical setting might compensate for the above shortcomings.

Conclusions

Our findings support postoperative BGI serving as an independent indicator of futile recanalization in patients with anterior circulation large-vessel occlusion and successful thrombectomy.

Data availability

The data are available from the corresponding author (Shen Li, Email: lishen@mail.ccmu.edu.cn) upon reasonable request.

Abbreviations

BGI:

Blood glucose increase

M1, M2:

The first and second segment of middle cerebral artery

mRS:

Modified Rankin Scale

mTICI:

Modified Thrombolysis in Cerebral Infarction

NIHSS:

National Institutes of Health Stroke Scale

ASPECTS:

Alberta Stroke Program Early CT Score

SICH:

Symptomatic intracranial hemorrhage

BGC:

Blood glucose change

SD:

Standard deviation

IQR:

Interquartile range

aOR:

Adjusted odds ratios

CI:

Confidence interval

References

  1. Goyal M, Menon BK, van Zwam WH, et al. Endovascular thrombectomy after large-vessel ischaemic Stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. 2016;387:1723–31.

    Article  PubMed  Google Scholar 

  2. Kim BJ, Singh N, Menon BK. Hemodynamics of Leptomeningeal Collaterals after large vessel occlusion and blood pressure management with endovascular treatment. J Stroke. 2021;23:343–57.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Deng G, Xiao J, Yu H, et al. Predictors of futile recanalization after endovascular treatment in acute ischemic Stroke: a meta-analysis. J Neurointerv Surg. 2022;14:881–85.

    Article  PubMed  Google Scholar 

  4. Feng Y, Bai X, Li W, et al. Postoperative neutrophil-lymphocyte ratio predicts unfavorable outcome of acute ischemic Stroke patients who achieve complete reperfusion after thrombectomy. Front Immunol. 2022;13:963111.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Christensen H, Boysen G. Blood glucose increases early after Stroke onset: a study on serial measurements of blood glucose in acute Stroke. Eur J Neurol. 2002;9:297–301.

    Article  PubMed  CAS  Google Scholar 

  6. Genceviciute K, Goldlin MB, Kurmann CC, et al. Association of Diabetes Mellitus and admission glucose levels with outcome after endovascular therapy in acute ischaemic Stroke in anterior circulation. Eur J Neurol. 2022;29:2996–3008.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Perez-Vega C, Domingo RA, Tripathi S, et al. Influence of glucose levels on clinical outcome after mechanical thrombectomy for large-vessel occlusion: a systematic review and meta-analysis. J Neurointerv Surg. 2022. https://doi.org/10.1136/neurintsurg-2021-017771.

    Article  PubMed  Google Scholar 

  8. Yang X, Sun D, Huo X, et al. Futile reperfusion of endovascular treatment for acute anterior circulation large vessel occlusion in the ANGEL-ACT registry. J Neurointerv Surg. 2023. https://doi.org/10.1136/jnis-2022-019874.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Su M, Zhou Y, Chen Z, et al. Cystatin C predicts futile recanalization in patients with acute ischemic Stroke after endovascular treatment. J Neurol. 2022;269:966–72.

    Article  PubMed  CAS  Google Scholar 

  10. Pan H, Lin C, Chen L, et al. Multiple-factor analyses of futile recanalization in Acute ischemic Stroke patients treated with mechanical thrombectomy. Front Neurol. 2021;12:704088.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Zhou T, Yi T, Li T, et al. Predictors of futile recanalization in patients undergoing endovascular treatment in the DIRECT-MT trial. J Neurointerv Surg. 2022;14:752–55.

    Article  PubMed  Google Scholar 

  12. Merlino G, Smeralda C, Sponza M, et al. Dynamic hyperglycemic patterns predict adverse outcomes in patients with Acute ischemic Stroke undergoing mechanical thrombectomy. J Clin Med. 2020;9:1932.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Li F, Ren Y, Cui X, et al. Postoperative hyperglycemia predicts symptomatic intracranial Hemorrhage after endovascular treatment in patients with acute anterior circulation large artery occlusion. J Neurol Sci. 2020;409:116588.

    Article  PubMed  CAS  Google Scholar 

  14. Adams HP Jr., Bendixen BH, Kappelle LJ, et al. 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;24:35–41.

    Article  PubMed  Google Scholar 

  15. Anadani M, Finitsis S, Clarencon F, et al. Collateral status reperfusion and outcomes after endovascular therapy: insight from the Endovascular Treatment in Ischemic Stroke (ETIS) Registry. J Neurointerv Surg. 2022;14:551–57.

    PubMed  Google Scholar 

  16. Zaidat OO, Yoo AJ, Khatri P, et al. Recommendations on angiographic revascularization grading standards for acute ischemic Stroke: a consensus statement. Stroke. 2013;44:2650–63.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 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;46:2981–6.

    Article  Google Scholar 

  18. Xu Y, Liu C, Li W, et al. Efficacy and safety of early anticoagulation after endovascular treatment in patients with atrial fibrillation. Stroke Vasc Neurol. 2023;8:405–12.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Yong M, Kaste M. Dynamic of hyperglycemia as a predictor of Stroke outcome in the ECASS-II trial. Stroke. 2008;39:2749–55.

    Article  PubMed  Google Scholar 

  20. Putaala J, Sairanen T, Meretoja A, et al. Post-thrombolytic hyperglycemia and 3-month outcome in acute ischemic Stroke. Cerebrovasc Dis. 2011;31:83–92.

    Article  PubMed  CAS  Google Scholar 

  21. Lattanzi S, Norata D, Divani AA, et al. Systemic inflammatory response index and futile recanalization in patients with ischemic Stroke undergoing endovascular treatment. Brain Sci. 2021;11:1164.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lattanzi S, Norata D, Broggi S, et al. Neutrophil-to-lymphocyte ratio predicts early neurological deterioration after Endovascular Treatment in patients with ischemic Stroke. Life (Basel). 2022;12:1415.

    PubMed  CAS  Google Scholar 

  23. Nie X, Leng X, Miao Z, Fisher M, Liu L. Clinically Ineffective Reperfusion After Endovascular Therapy in Acute Ischemic Stroke. Stroke. 2023;54:873 – 81.

  24. Desilles JP, Syvannarath V, Ollivier V, et al. Exacerbation of Thromboinflammation by Hyperglycemia precipitates cerebral Infarct Growth and Hemorrhagic Transformation. Stroke. 2017;48:1932–40.

    Article  PubMed  Google Scholar 

  25. Gray CS, Hildreth AJ, Sandercock PA, et al. Glucose-potassium-insulin infusions in the management of post-stroke hyperglycaemia: the UK glucose insulin in Stroke Trial (GIST-UK). Lancet Neurol. 2007;6:397–406.

    Article  PubMed  CAS  Google Scholar 

  26. McCormick M, Hadley D, McLean JR, Macfarlane JA, Condon B, Muir KW. Randomized, controlled trial of insulin for acute poststroke hyperglycemia. Ann Neurol. 2010;67:570–8.

    Article  PubMed  CAS  Google Scholar 

  27. Mifsud S, Schembri EL, Gruppetta M. Stress-induced hyperglycaemia. Br J Hosp Med (Lond). 2018;79:634–39.

    Article  PubMed  Google Scholar 

  28. Palaiodimou L, Lioutas VA, Lambadiari V, Paraskevas GP, Voumvourakis K, Tsivgoulis G. Glycemia management in acute ischemic Stroke: current concepts and novel therapeutic targets. Postgrad Med. 2019;131:423–37.

    Article  PubMed  Google Scholar 

  29. Reshi R, Streib C, Ezzeddine M, et al. Hyperglycemia in acute ischemic Stroke: is it time to re-evaluate our understanding? Med Hypotheses. 2017;107:78–80.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all study participants and the clinical staff for their support and contribution to this project.

Funding

This study was supported by National Natural Science Foundation of China (82171319, 82311530048), Beijing Municipal Science & Technology Commission (Z221100007422111), and Natural Science Foundation of Liaoning (2020-MS-333). The funders had no role in study design; collection, analysis, and interpretation of data; and writing of the report.

Author information

Authors and Affiliations

Authors

Contributions

TT, DL, and SL designed the study. DL, TPF, CJB and MHZ collected the data. TT, TPF, CJB and MHZ did data analysis. TT, DL, TPF, AMT, and SL drafted the manuscript and revised it critically. All authors have critically interpreted the results and have read and approved the final manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Shen Li.

Ethics declarations

Ethics approval and consent to participate

The Central Hospital of Dalian University of Technology Ethics Committee approved the study (2019–004–11) to obtain retrospective anonymized patient data from the clinical database of the Central Hospital of Dalian University of Technology with a waiver of written informed consent. All methods were carried out in accordance with relevant guidelines and regulations or declaration of Helsinki.

Consent for publication

Not applicable.

Conflict of interest

The Authors declare that there is no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tang, T., Li, D., Fan, TP. et al. Postoperative blood glucose increase is associated with futile recanalization in patients with successful thrombectomy: a retrospective study. BMC Neurol 23, 447 (2023). https://doi.org/10.1186/s12883-023-03512-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12883-023-03512-z

Keywords