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Article

The Good Clinical Outcome for Patients with Acute Ischemic Stroke Treated with Mechanical Thrombectomy—Does Time Still Matter?

by
Dalibor Sila
1,2,*,
Marko Marinovic
1,
Mária Vojtková
3,
Philipp Kirsch
4,
Stefan Rath
1 and
František Charvát
2
1
Department of Neurosurgery and Interventional Neuroradiology, DONAUISAR Klinikum Deggendorf, Perlasberger Str. 41, 94469 Deggendorf, Germany
2
Department of Radiology, First Faculty of Medicine, Charles University Prague and Military University Hospital Prague, U Vojenské Nemocnice 1200, 16902 Prague, Czech Republic
3
Department of Statistics, Faculty of Economic Informatics, University of Economics in Bratislava, Dolnozemska Cesta 1/b, 85235 Bratislava, Slovakia
4
Department of Radiology and Interventional Radiology, DONAUISAR Klinikum Deggendorf, Perlasberger Str. 41, 94469 Deggendorf, Germany
*
Author to whom correspondence should be addressed.
Clin. Transl. Neurosci. 2023, 7(3), 29; https://doi.org/10.3390/ctn7030029
Submission received: 25 July 2023 / Revised: 25 August 2023 / Accepted: 18 September 2023 / Published: 20 September 2023
(This article belongs to the Section Endovascular Neurointervention)
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Versions Notes

Abstract

:
The primary target was an investigation of the factors predicting a good clinical outcome of patients with acute ischemic stroke after treatment with mechanical thrombectomy. Additionally, we compared the treatment results in known and unknown symptom onset time groups. We retrospectively analyzed the data from 2012 to 2020 and divided 240 patients into the known and unknown symptom onset time groups. We looked for the variables predicting a good clinical outcome (NIHSS 0–4 at discharge) in both groups. In both groups, there was no statistically significant difference in good clinical outcomes (43% in the known symptom onset time group vs. 33.3% in the unknown symptom onset time group, p = 0.203). Factors predicting a good clinical outcome in both groups were lower NIHSS scores at admission, the presentation of pial arterial collaterals on admission CT angiography, and bridging intravenous thrombolysis. In the known symptom onset time group, lower age was also a factor predicting good outcome. Our clinical results of treatment by using mechanical thrombectomy were comparable in the known and unknown symptom onset time groups.

1. Introduction

The recanalization of affected vessel territory in acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT) improves the outcome with no more complications in comparison to the intravenous administration of recombinant tissue plasminogen activator (rtPA) [1,2,3,4,5,6,7,8,9]. Lower symptom onset to vessel recanalization time can be an important factor supporting treatment success. Despite this fact, several studies have already highlighted the extension of the time window as an important indicator for treatment with MT [10,11]. However, in clinical practice, patient history, and especially symptom onset time, is often unknown. In these cases, the correct indication for MT can be complicated. Therefore, in our work, we aimed to find relevant good outcome predictors in a group of patients with known symptom onset time (KSOT) compared to those with unknown symptom onset time (USOT), particularly patients with wake-up stroke.
Patients with AIS treated with MT at the Neurosurgical and Neurointerventional Department of DONAUISAR Hospital in Deggendorf (Germany) from July 2012 to December 2020 were reviewed. We included 240 patients; 27 patients treated with the stent retriever technique using a SolitaireTM stent, 58 patients treated with the aspiration technique using a Penumbra ACE68TM aspiration catheter, and 155 patients treated with the aspiration technique using a Sophia 6FTM aspiration catheter.
MT was performed by hybrid neurosurgeons with good endovascular experience. Each of them performs approx. 30 cerebral endovascular interventions per year. The number of thrombectomies has increased every year. Since 2017, we have performed approximately 80 mechanical thrombectomies every year. Until 2015, we primarily used a stent retriever technique, particularly with SolitaireTM FR stents. In 2016, we moved stepwise to the ADAPT technique using aspiration catheters.
The baseline characteristics, good clinical outcome rates, TICI recanalization scores, and radiographic findings on Day 1 CT scans were statistically comparable between the KSOT and USOT groups of patients. In the KSOT cases, we identified lower age, good pial arterial collateral supply as evidenced by the CT scan at admission, and a lower NIHSS score at admission, but no lower symptom onset to vessel recanalization time, as predictors of a good clinical outcome in the group of treatment-independent variables. Except for the lower age, the predictors of a good clinical outcome in the USOT cases were the same. In the group of treatment-dependent variables, we identified the administration of intravenous bridging thrombolysis treatment as a factor with a positive predictive value.

2. Materials and Methods

AIS patients with identified thrombotic vessel occlusion without infarction demarcation confirmed on an admission head CT and CT angiography scan and initial NIHSS (National Institutes of Health Stroke Scale) [12] >4 were presented for treatment with MT and included in this study. AIS patients with infarct demarcation or intracerebral hemorrhage on admission CT scan, and those with an initial NIHSS score <4 were excluded. Intravenous bridging thrombolytic therapy with rtPA (0.9 mg/kg of body weight) was administered in case of no contraindications. The intervention was performed under general anesthesia. On Day 1, we performed a control head CT scan. An unbiased senior radiologist (P.K.) performed the radiographic analysis. CT angiography scans at admission were divided into groups with pial arterial collateralization (Figure 1) and without pial arterial collateralization (Figure 2), depending on the presentation of the peripheral arterial contrast filling of the affected vessel territory on the CT angiography scan upon admission. Using thrombolysis in the cerebral ischemia (TICI) [13] score, he assessed the recanalization rate. For the postinterventional CT scan analysis, we used the modified 1/3 MCA score [14]. The patients were divided into three groups: those with major infarction occupying more than 1/3 of the affected vessel territory, patients with minor infarction occupying less than 1/3 of the affected vessel territory or basal ganglia, and those without any infarction. Depending on the intracerebral hemorrhage (ICH) volume on the Day 1 head CT scan, we divided the patients into three groups: those with major ICH occupying more than 1/3 of the affected vessel territory, those with minor ICH occupying less than 1/3 of the affected vessel territory, and those without any ICH. Clinical outcome was evaluated based on the NIHSS score at discharge, with NIHSS 0–4 defined as a good outcome, as well as NIHSS improvement (NIHSS at admission minus NIHSS at discharge). In radiographic outcomes, we looked for major and minor ICH as well as major and minor infarction on Day 1 CT scan.
SPSS version 22.0 (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. For differences in the means, an independent sample t-test was used for numeric variables. For nominal variables, Fisher’s exact test was used. The χ2-test was used for differences in the frequency distribution. The differences in the means and frequency distribution were statistically significant if the p value was <0.05. The results were obtained using mean values ± SD (standard deviation) and frequency tables. The variables predicting good clinical outcomes were determined using binary logistic regression and NIHSS at discharge as a dependent variable, with NIHSS 0–4 defined as a good outcome and NIHSS > 4 considered a bad outcome. The variables that were inputted in the logistic regression were divided into the treatment-dependent group and the treatment-independent group. The latter was calculated separately for the KSOT and USOT cases.

3. Results

3.1. Baseline Characteristics

In total, 240 patients with AIS who underwent MT were included. A SolitaireTM stent retriever (n = 27, 11.3%), Penumbra ACE68TM aspiration catheter (n = 58, 24.2%), and SophiaTM 6F aspiration catheter were used. The mean age was 72 ± 14 years, and the mean NIHSS score on admission was 19 ± 9. USOT was present in 54 (22.5%) cases. In the KSOT group, the mean symptom onset time to groin puncture time was 223 ± 116 min. Notably, 134 (55.8%) of the cases involved female patients, and bridging intravenous rtPA was administered in 150 (62.5%) cases. The thrombectomy system used, population characteristics, and the affected vessel territory are summarized in Table 1.

3.2. KSOT and USOT Groups—Baseline Characteristics, Clinical Outcomes, and Radiographic Outcomes

Both groups were statistically comparable in terms of the mean age (72 ± 14 vs. 65 ± 13 years (p = 0.241)), sex (p = 0.231) and the mean NIHSS score on admission (19 ± 9 vs. 21 ± 10 (p = 0.307)). Bridging intravenous rtPA was administered in 66.7% of cases in the KSOT group and in 48.1% of cases in the USOT group (p = 0.013).
There was no difference in the mean NIHSS score at discharge between the groups; in the KSOT group, the mean NIHSS score was 14 ± 15, and in the USOT group, the mean NIHSS score was 17 ± 16 (p = 0.194). The mean NIHSS score improvement was 9 ± 9 in the KSOT group and 7 ± 8 in the USOT group (p = 0.082). Good clinical outcomes (NIHSS 0–4 at discharge) and the number needed to treat were 43% of cases and 2.3 in the KSOT group and 33.3% of cases and 3 in the USOT group (p = 0.203).
The frequency distribution of TICI recanalization scores was comparable in both groups (Fisher´s exact test, p = 0.516). We identified the TICI 3 recanalization in 166 cases (89.2%) in the KSOT group and in 46 cases (85.2%) in the USOT group. There was no significant difference in frequency distribution (χ2 = 3.077, p = 0.215) in the KSOT and USOT groups in terms of infarct demarcation on the Day 1 head CT scan. In the analysis of the ICH on the 24 h head CT scans, we did not find any difference in frequency distribution (χ2 = 2.652, p = 0.266) in the KSOT and USOT groups either. The results are presented in Table 2.

3.3. The Predicting Factors of the Clinical Outcome

The binary logistic regression model of treatment-independent variables was significant for KSOT cases (χ2 = 33.19, p = 0.001, n = 186). We identified age (OR 0.976, p = 0.043, all other things being equal), lower NIHSS score upon admission (OR 0.941, p = 0.004, all other things being equal), and the presentation of the pial arterial collateralization on CT angiography scan upon admission (OR 3.335, p = 0.002, all other things being equal) as the variables predicting a good clinical outcome (Table 3).
The model with treatment-independent variables using the USOT cases was significant as well (χ2 = 20.72, p = 0.001, n = 54). The presentation of the pial arterial collateralization on the CT angiography scan upon admission (OR 6.330, p = 0.041, all other things being equal) and lower NIHSS scores upon admission (OR 0.888, p = 0.027, all other things being equal) were the factors predicting a good clinical outcome (Table 4).
The logistic regression model of treatment-dependent variables was significant (χ2 = 82.66, p < 0.001, n = 240). Intravenous rtPA administration (OR 2.077, p = 0.02, all other things being equal) was identified as a factor predicting a good clinical outcome. Cases with major infarction (>1/3 of vessel territory) on the Day 1 head CT scan had 25 times less chance for a good clinical outcome (OR 0.040, p < 0.001, all other things being equal). Major ICH was associated with six times less chance for a good clinical outcome (OR 0.167, p < 0.030, all other things being equal) (Table 5).

4. Discussion

According to our results, the presentation of the pial arterial collateralization on the CT angiography scan upon admission, as well as the lower admission NIHSS and bridging intravenous rtPA administration, were the factors predicting a good clinical outcome. Large ICH and infarction on the control CT scan had a negative predictive value. The clinical and radiographic outcomes of the treatment with MT in the KSOT and USOT groups were statistically comparable; however, overall, we observed slightly better results in the KSOT group of patients.
The frequency of the bridging intravenous rtPA administration was lower in the USOT group compared with the KSOT group (48.1% vs. 66.7%). This was to be expected and resulted from the limited off-label use of bridging intravenous rtPA in the USOT group. The remaining characteristics were comparable.
The clinical outcome measured according to the NIHSS at discharge, as well as improvement in the NIHSS score, showed no difference between both groups. Clinical outcomes of MT correspond with findings of other trials [7,9,15,16].
We observed no differences between the groups in the TICI 3 recanalization rate, which corresponds to published data [7,17] and the frequency of major infarct demarcation and major ICH on 24 h CT scans. The data in the literature differ in the incidence of infarction and bleeding complications [15,17,18,19,20].
The lower NIHSS at admission in both groups favors a good clinical outcome as well. The same finding is reported by Barral et al. [21], Gamba et al. [22], and Lu et al. [23].
In both KSOT and USOT groups, we identified the presentation of the pial arterial collateralization in the CT angiography scan at admission as the factor predicting a good clinical outcome. The presentation of the pial arterial collaterals on the CT angiography scan at admission in cases of successful vessel recanalization could be crucial for a good clinical outcome [24,25,26,27,28,29].
According to Rabinstein, perfusion brain imaging is necessary in patients with an extended time window (<6 h) prior to recanalization treatment [27]. In our opinion, the presentation of pial arterial collaterals on CT angiography at admission is sufficient for the estimation of collateral perfusion of the affected territory. That could help physicians make correct decisions for treatment with MT in patients with USOT, and it requires no additional time-consuming investigation like perfusion CT or MRI. At the same time, successful MT in patients with good pial arterial collaterals may result in a good functional outcome even with longer symptom onset to recanalization time and vice versa. In this case, the careful selection of patients for treatment with MT, especially those without infarction demarcation, is crucial. Infarct demarcation on CT scans at admission in cases with longer or unknown symptom onset to recanalization time corresponds with poor collateralization and automatically leads to disqualification for treatment with MT, or the MT has a poor clinical effect.
Could this mean that the time window in AIS patients is not a relevant prognostic criterion? This opinion could support the fact that, in this study, the time from symptom onset to groin puncture in the KSOT group had no prediction value regarding the good functional outcome. An analogous finding is presented in a paper published by Krajickova et al. In their study, neither the recanalization success nor the clinical outcome was significantly different between patients treated at different time windows [30]. At the same time, 2017 published trials successfully extended time windows up to 16 [10] and 24 h [11]. The restriction of cerebral perfusion on 18 mL/100 g of brain tissue per minute leads to the failure of neuronal excitability, but not neuronal death, which does not occur until perfusion restriction under 8 mL/100 g of brain tissue [31]. This then leads to the loss of 1.9 million neurons per minute in AIS patients [32]. In our opinion, the time window is an important prognostic factor, but even more relevant for a good clinical outcome is a sufficient collateralization of the affected vessel territory.
Expectedly, in the KSOT group, higher age reduced the odds of a good clinical outcome as well, whereas, in the USOT group, age had no predictive value.
In the treatment-dependent variable, the intravenous thrombolysis prior to MT using rtPA was the factor predicting a good clinical outcome. This finding correlates with data from two meta-analyses from 2017 and 2020 [33,34]. Both concluded that the additional intravenous thrombolysis treatment improves functional outcomes and reduces mortality compared with MT alone. As expected, major infarction and large ICH on the control CT scan reduced the chance of a good clinical outcome.
This study aimed to evaluate the predictive factors for a good functional outcome, considering both KSOT and USOT patients. This could be helpful in certain clinical situations, especially in cases of insufficient patient history. We acknowledge the limitations of this clinical study. These limitations are due to the retrospective nature of this research with the corresponding biases that can be associated with the study design and its monocentric nature. Our results should therefore be reviewed in the context of further studies.

5. Conclusions

The presentation of pial arterial collaterals on CT angiography scan at admission and lower NIHSS score at admission could be the treatment-independent factors predicting a good functional outcome in the case of successful treatment using MC in patients with AIS, even in cases of unknown symptom onset time. Additional bridging intravenous thrombolysis can also increase the odds of good clinical outcome. The clinical results of MT in the KSOT and USOT groups of patients were found to be comparable. Symptom onset to vessel recanalization time does not seem to be a main factor influencing a good functional outcome. This does not mean that the phrase “time is brain” is no longer valid; rather, it is more the case that we should say “time and collateralization is brain”. Time alone is not enough.

Author Contributions

Conceptualization, D.S. and M.M.; methodology, D.S., M.V. and M.M.; software, M.V. and D.S.; formal analysis, M.M. and P.K.; writing—original draft preparation, D.S.; writing—review and editing, F.C. and S.R.; supervision, S.R. and F.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki. Ethical review and approval were waived for this study due to the retrospective nature of this study. Ethical board approval was not mandatory according to local legislation (Ethics Committee of the Bavarian Medical Association).

Informed Consent Statement

Patient consent was waived due to the retrospective type of study.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Ctn 07 00029 g001
Figure 1. On the left, a CT angiography scan is shown with left-sided proximal MCA occlusion (arrow), and on the right, peripheral vessel contrast filling is visible, with good pial arterial collaterals indicated as arrows.
Figure 1. On the left, a CT angiography scan is shown with left-sided proximal MCA occlusion (arrow), and on the right, peripheral vessel contrast filling is visible, with good pial arterial collaterals indicated as arrows.
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Figure 2. On the right, a CT angiography scan is shown with right-sided MCA occlusion (arrow), and on the right, no peripheral vessel contrast filling is present, which is indicated with arrows.
Figure 2. On the right, a CT angiography scan is shown with right-sided MCA occlusion (arrow), and on the right, no peripheral vessel contrast filling is present, which is indicated with arrows.
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Table 1. The thrombectomy system, population characteristics, and affected vessel territory.
Table 1. The thrombectomy system, population characteristics, and affected vessel territory.
Patient Population
n = 240
Thrombectomy system (%)Solitaire FR27 (11.3%)
ACE 6858 (24.2%)
Sophia 6F155 (64.5%)
Mean age in years (SD)72 (14)
Mean NIHSS score on admission (SD)19 (9)
Unknown symptom onset time to groin puncture (%) 54 (22.5%)
Mean symptom onset time to groin puncture in minutes (SD) 223 (116)
Female sex (%)134 (55.8%)
Intravenous rtPA administration (%)150 (62.5%)
Vessel territory (%)BA33 (13.8%)
ICA58 (24.2%)
MCA127 (52.9%)
M222 (9.2%)
BA = basilar artery; ICA = internal carotid artery; MCA = middle cerebral artery; M2 = M2 segment of MCA, NIHSS = National Institutes of Health Stroke Scale; rtPA = recombinant tissue plasminogen activator; SD = standard deviation.
Table 2. Known and unknown symptom onset time groups—baseline characteristics, clinical outcomes, and radiographic outcomes.
Table 2. Known and unknown symptom onset time groups—baseline characteristics, clinical outcomes, and radiographic outcomes.
Known Symptom Onset TimeUnknown Symptom Onset Timep-Value
n = 186 (77.5%)n = 54 (22.5%)
Mean age in years (SD) 72 (14)75 (13)0.241 *
Female sex (%) 100 (53.8%)34 (63%)0.231
Mean NIHSS score on admission (SD) 19 (9)21 (10)0.307 *
Mean symptom onset to groin puncture time in minutes (SD) 223 (116)-
Intravenous rtPA administration (%) 124 (66.7%)26 (48.1%)0.013
Mean NIHSS at discharge (SD) 14 (15)17 (16)0.194 *
Mean NIHSS improvement (SD) 9 (9)7 (8)0.082 *
Good outcome—NIHSS 0–4 (%) 80 (43%)18 (33.3%)0.203
Number needed to treat 2.33
TICI recanalization score (%)3166 (89.2%)46 (85.2%)0.516
2b12 (6.5%)4 (7.4%)
2a7 (3.8%)3 (5.6%)
11 (0.5%)1 (1.9%)
Infarct demarcation on control CT scan (%)>1/3 of territory 58 (31.2%)20 (37%)0.215
<1/3 of territory 67 (36%)23 (42.6%)
No infarct61 (32.8%)11 (20.4%)
ICH on control CT scan (%)>1/3 of territory 14 (7.5%)5 (9.3%)0.266
<1/3 of territory20 (10.8%)10 (18.5%)
no ICH152 (81.7%)39 (72.2%)
For the marked values (*), a t-test was used. In the rest of the cases, χ2-test and Fisher´s exact test were used. ICH = intracerebral hemorrhage; NIHSS = National Institutes of Health Stroke Scale; rtPA = recombinant tissue plasminogen activator; SD = standard deviation; TICI = thrombolysis in cerebral ischemia.
Table 3. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-independent variables, KSOT cases.
Table 3. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-independent variables, KSOT cases.
Treatment-Independent
Variables—KSOT Group		OR (95% CI for OR)p-Value
Age0.976 (0.953–0.999)0.043
Sex1.577 (0.799–3.115)0.189
Symptom onset to groin puncture time0.998 (0.995–1.001)0.237
Pial arterial collateral supply3.335 (1.567–7.098)0.002
NIHSS score upon admission0.941 (0.904–0.981)0.004
NIHSS at discharge (good outcome NIHSS 0–4) was used in the binary logistic regression model as a dependent variable. Values marked in bold show significant differences at p < 0.05. CI = confidence interval; NIHSS = National Institutes of Health Stroke Scale; OR = odds ratio.
Table 4. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-independent variables, USOT cases.
Table 4. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-independent variables, USOT cases.
Treatment-Independent
Variables—USOT Group		OR (95% CI for OR)p-Value
Age0.984 (0.930–1.040)0.563
Sex0.375 (0.082–1.710)0.205
Pial arterial collateral supply6.330 (1.080–37.116)0.041
NIHSS score upon admission0.888 (0.800–0.986)0.027
NIHSS at discharge (good outcome NIHSS 0–4) was used in the binary logistic regression model as a dependent variable. Values marked in bold show significant differences at p < 0.05. CI = confidence interval; NIHSS = National Institutes of Health Stroke Scale; OR = odds ratio.
Table 5. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-dependent variables.
Table 5. Factors predicting a good clinical outcome (NIHSS 0–4): binary logistic regression with treatment-dependent variables.
Treatment-Dependent
Variables		OR (95% CI for OR)p-Value
Intravenous rtPA
administration		2.077 (1.100–3.923)0.024
TICI 3 recanalization1.159 (0.375–3.583)0.798
Infarction > 1/3 of the vessel territory0.040 (0.014–0.116)0.001
ICH > 1/3 of the vessel territory0.167 (0.033–0.844)0.030
NIHSS at discharge (good outcome NIHSS 0–4) was used in the binary logistic regression model as a dependent variable. Values marked in bold show significant differences at p < 0.05. CI = confidence interval; ICH = intracerebral hemorrhage; OR = odds ratio; rtPA = recombinant tissue plasminogen activator; TICI = thrombolysis in cerebral ischemia.
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MDPI and ACS Style

Sila, D.; Marinovic, M.; Vojtková, M.; Kirsch, P.; Rath, S.; Charvát, F. The Good Clinical Outcome for Patients with Acute Ischemic Stroke Treated with Mechanical Thrombectomy—Does Time Still Matter? Clin. Transl. Neurosci. 2023, 7, 29. https://doi.org/10.3390/ctn7030029

AMA Style

Sila D, Marinovic M, Vojtková M, Kirsch P, Rath S, Charvát F. The Good Clinical Outcome for Patients with Acute Ischemic Stroke Treated with Mechanical Thrombectomy—Does Time Still Matter? Clinical and Translational Neuroscience. 2023; 7(3):29. https://doi.org/10.3390/ctn7030029

Chicago/Turabian Style

Sila, Dalibor, Marko Marinovic, Mária Vojtková, Philipp Kirsch, Stefan Rath, and František Charvát. 2023. "The Good Clinical Outcome for Patients with Acute Ischemic Stroke Treated with Mechanical Thrombectomy—Does Time Still Matter?" Clinical and Translational Neuroscience 7, no. 3: 29. https://doi.org/10.3390/ctn7030029

APA Style

Sila, D., Marinovic, M., Vojtková, M., Kirsch, P., Rath, S., & Charvát, F. (2023). The Good Clinical Outcome for Patients with Acute Ischemic Stroke Treated with Mechanical Thrombectomy—Does Time Still Matter? Clinical and Translational Neuroscience, 7(3), 29. https://doi.org/10.3390/ctn7030029

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