Wrong primary endpoint and wrong conclusion. Primary endpoint is always 100% recovery, NOTHING LESS, good functional outcome is just the tyranny of low expectations again. The conclusion should be to stop the 5 causes of the neuronal cascade of death in the first week. Shortening TTR(Time to reperfusion) is an invalid goal since no one has defined EXACTLY how fast reperfusion has to occur to get 100% recovery.
Outcome, efficacy and safety of endovascular thrombectomy in ischaemic stroke according to time to reperfusion: data from a multicentre registry
Abstract
Background and purpose:
Methods:
Results:
Introduction
Contrarily, two RCTs showed that advanced imaging is able to select patients up to 24 h after symptom onset benefiting from MT,3,4 with a very strong treatment effect also in the late time window.5 Although also here a decline in efficacy of the treatment effect was noted, the slope and time of the decline were very different from the studies mentioned above.6 Therefore, the decline of treatment effect seems to be strongly influenced by patient selection, and the concept of a general time window with an uniform decline of efficacy has been challenged.7,8 Furthermore, it remains unclear whether with increasing time from symptom onset to reperfusion (TTR) there is a cut-off time with deleterious treatment effect thereafter similar to intravenous thrombolysis (IVT) or if MT at a given time point simply remains futile and not cost-effective.9,10
The aims of this study were (1) to evaluate the clinical effect of TTR; and (2) to assess the safety and technical efficacy of MT according to strata of TTR.
Methods
Most patients in the registry (n = 2046) were treated for large-vessel AC strokes (n = 1832). Of the patients with known TTR (n = 1461), 1314 (89.9%) had documented 90-day follow up.
Variables and image analysis
Statistical analysis
Univariate comparisons between three TTR strata (0–180 min, 180–360 min, >360 min) were made using standard statistical measures [Chi-squared test for categorical variables, Kruskal–Wallis H-test for non-normally continuous or ordinally scaled variables and analysis of variance (ANOVA) for independent normally distributed data].
Association of TTR with all outcome parameters was assessed using multivariable logistic regression, adjusting for the following prespecified confounders: age (continuous), sex (categorical), NIHSS on admission (ordinal, adjusted odds ratio (aOR) per point increase), direct presentation versus transfer from another hospital (categorical), in-hospital stroke (categorical), wake-up stroke (categorical), tandem versus non-tandem (categorical, tandem defined as >90% cervical stenosis or cervical occlusion), centre (categorical, contrast type: indicator, comparator: largest centre), ASPECTS (ordinal, aOR per point increase), IVT (categorical), risk factor hypertension (categorical), risk factor dyslipidaemia (categorical), risk factor smoking (categorical), risk factor previous stroke (categorical), risk factor diabetes (categorical), type of admission imaging (CT versus MRI, categorical) and successful reperfusion ⩾TICI2b. For mRS shift analysis, multivariable ordinal regression was used to assess the association of time to reperfusion with mRS at day 90 adjusting for the abovementioned categorical factors and continuous or ordinal covariates using a logit link function. A parallel lines test was used to check for proportional odds assumption. Patients with missing data were excluded from multivariate analysis.
Results
Baseline characteristics
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Table 1. Baseline characteristics of all patients and according to time from symptom onset to reperfusion.

Outcome
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Table 2. Outcome data comparing patients with large-vessel occlusion according to time from symptom onset to reperfusion.

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Table 3.
Analysis was done using time to reperfusion information in minutes, but
association of TTR per hour increase with outcome data comparing
patients with large-vessel occlusion in the anterior circulation is
reported. Analysis was done using multivariable binary or ordinal
logistic regression analysis adjusting for prespecified confounders
outlined in the methods section for TTR per hour increase except aOR for
successful reperfusion, which was analysed without successful
reperfusion as variable.


Figure 1. Day 90 functional outcome at 3 months according to time to reperfusion.
Distribution of mRS scores at 3 months, according to time to reperfusion strata. Analysis was done using multivariable binary logistic regression analysis adjusting for prespecified confounders outlined in the methods section for TTR per hour increase. The thick green line proposed by Goyal and colleagues indicates a highly significant beneficial treatment effect with higher rate of the primary outcome mRS 0–2 (aOR 0.933, 95% CI 0.887–0.981, p = 0.007). The thin green line indicates a significant beneficial treatment effect with higher rate of mRS 0–1 (aOR 0.929, 95% CI 0.877–0.985, p = 0.013) and mRS 0–3 (aOR 0.955, 95% CI 0.911–1.000, p = 0.049). The thin red line indicates a beneficial, but non-significant, treatment effect for mortality (aOR 0.988, 95% CI 0.933–1.046, p = 0.680).
mRS, modified Rankin scale.
Distribution of mRS scores at 3 months, according to time to reperfusion strata. Analysis was done using multivariable binary logistic regression analysis adjusting for prespecified confounders outlined in the methods section for TTR per hour increase. The thick green line proposed by Goyal and colleagues indicates a highly significant beneficial treatment effect with higher rate of the primary outcome mRS 0–2 (aOR 0.933, 95% CI 0.887–0.981, p = 0.007). The thin green line indicates a significant beneficial treatment effect with higher rate of mRS 0–1 (aOR 0.929, 95% CI 0.877–0.985, p = 0.013) and mRS 0–3 (aOR 0.955, 95% CI 0.911–1.000, p = 0.049). The thin red line indicates a beneficial, but non-significant, treatment effect for mortality (aOR 0.988, 95% CI 0.933–1.046, p = 0.680).
mRS, modified Rankin scale.

Figure 2. Probability of good functional outcome (mRS 0–2) with margins plot, including 95% confidence intervals.
For this analysis, time to reperfusion was used as a continuous variable and multivariable binary logistic regression analysis was performed, adjusting for prespecified confounders outlined in the methods section. Per hour delay of reperfusion there was a 1.5% decreased probability of good functional outcome.
mRS, modified Rankin scale.
For this analysis, time to reperfusion was used as a continuous variable and multivariable binary logistic regression analysis was performed, adjusting for prespecified confounders outlined in the methods section. Per hour delay of reperfusion there was a 1.5% decreased probability of good functional outcome.
mRS, modified Rankin scale.
STG per hour increase was neither related to long-term functional outcome nor to mortality (Supplementary Table 3) in multivariate analysis.
Tolerability and efficacy
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Table 4. Tolerability and efficacy data comparing patients with large-vessel occlusion according to symptom onset to reperfusion time.


Figure 3. Adjusted odds ratio of successful reperfusion (mTICI⩾2b/3) for outcome parameters.
Adjusted odds ratio of successful reperfusion (mTICI⩾2b/3) for outcome parameters stratified for patients with time to reperfusion from symptom onset (TTR) of less or more than 7 h.
mRS, modified Rankin scale; sICH, symptomatic intracranial haemorrhage; TTR, time to reperfusion from symptom onset.
Adjusted odds ratio of successful reperfusion (mTICI⩾2b/3) for outcome parameters stratified for patients with time to reperfusion from symptom onset (TTR) of less or more than 7 h.
mRS, modified Rankin scale; sICH, symptomatic intracranial haemorrhage; TTR, time to reperfusion from symptom onset.
Discussion
In this analysis we chose to analyse TTR rather than STG, because when analysing STG many patients who are subjected to MT but never actually achieve reperfusion are part of the analysis, which weakens the true TTR effect because those patients are subjected to the potential downsides of MT without having the chance to benefit from it. However, it is rather successful reperfusion than intention to treat that is a major predictor of outcome, with every 10% increase in the rates of successful reperfusion accounting for an estimated 17% increase in the probability of achieving excellent outcomes.15 Our finding that STG was not a significant factor related to long-term functional outcome when adjusting for confounders confirms this view. Second, STG in patients who do not achieve reperfusion reflects other evidence-based treatments like earlier IVT, medical treatment or stroke unit care which might have biased the effect ascribed to STG. Contrarily to Al Sultan and Hill,16 arguing for an imprecise measurement of TTR, we hence favour TTR to be a more precise and meaningful parameter compared to STG. This view is in line with the ‘time-reset effect’, arguing for the quickest possible reperfusion once imaging identifies relevant salvageable tissue,7 rendering time from imaging to reperfusion the main time dependence because of the used imaging selection.
Our analysis has several complementary features to published data.1,2,8 First, whereas STG was limited in two of the studies, we had no such restriction including patients more than 40 h after symptom onset. Second, due to a larger sample size and good data quality, we were able to correct for several confounders that might have influenced the strong effect seen with TTR. Third, because of a markedly higher recanalization rate, our estimates probably more reliably reflect the true effect of TTR as compared to STG analysis for the reasons mentioned above.
In comparison to the association of TTR times with functional outcome in the HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) meta-analysis of previous RCTs, our results suggest that the association for TTR is less pronounced in real-world patients. We explain those findings by advances in imaging-based patient selection better identifying patients benefiting from MT. For example, a patient with complete fluid-attenuated inversion recovery demarcation of M2-occlusion might have been denied MT, although presenting 4.5 h after symptom onset.
Since almost all RCTs used some kind of imaging selection or other inclusion criteria, the true decline of TTR treatment effect when subjecting all AIS patients with a target LVO in the AC has and will probably never been elucidated. However, it is very important to keep in mind that the slope of decline in efficacy is strongly influenced by patient selection,7 and treatment effect may be distinct also in late TTR as shown by recent DAWN and DEFUSE-3 RCTs.3,4 In this registry, we observed heterogeneous aOR of TTR on good functional outcome for each centre (Supplementary Table 5), probably due to different approaches to patient selection.
The relative merits of achieving successful reperfusion for dichotomizations of the mRS scale, mortality and sICH were comparable between patients reperfused before and after 7 h (Figure 3), with significant effect of reperfusion on mRS 0–2 and mRS 0–1 also in TTR of more than 7 h. However, due to large confidence intervals, findings only approached significance for mortality in patients reperfused after 7 h. In patients with STG of more than 6 h, the rates of 3-month mRS categories and mortality were roughly comparable to DAWN and DEFUSE-3 MT patients (Supplementary Figure 4).3,4 This finding confirms that tertiary stroke centres apply the change from a merely time-based approach to MT towards a tissue-based protocol in late-presenting patients correctly, with similar benefits of reperfusion also in late TTR. Even the participating tertiary stroke centres performed CT in 80/154 (52%) of patients with TTR of more than 8 h, underlining the importance of a CT-based algorithm to select patients for MT in the late time window as an alternative when MRI is not available.17
The recanalization rate of 82.8% of the whole AC registry is similar to recent observational studies with smaller patient numbers,18–20 but higher compared to a meta-analysis that included older MT devices20 and recent registries.2,8 The mortality rate of about 22% is almost identical to the published data; however, contrarily to a recent meta-analysis we found no increase in mortality when early and late recanalization were compared.20 The rate of complications in patients reperfused after 6 h was 15.0%, similar to rates previously reported,21 and matched the frequency of complications observed in patients reperfused between 3 and 6 h.21 In regards to serious complications in patients reperfused after 7 h, we observed three perforations with no associated mortality. Patients with an unsuccessful recanalization had higher complication rates (22.5% versus 10.6%, p < 0.001).
Although the median time interval for when a patient was last known to be well and the occurrence of treatment was about 13 h in DAWN and 12 h in DEFUSE-3, the actual number of patients with warranted late MT treatment was quite low due to the high percentage of wake-up stroke.3,4 Our registry did have a higher percentage of truly late-presenting patients with documented symptom onset. However, patients treated very late after symptom onset were scarce (see Supplementary Table 4), but we still found a beneficial effect of MT also in late TTR. Further evidence needs to definitely confirm tolerability and efficacy of MT in this scenario and establish reliable imaging criteria for patient selection.
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