Literature DB >> 35574953

Ultrashort Door-to-Needle Time for Intravenous Thrombolysis Is Safer and Improves Outcome in the Czech Republic: Nationwide Study 2004 to 2019.

Robert Mikulík1,2, Michal Bar3, Silvie Bělašková1, David Černík4, Jan Fiksa5, Roman Herzig6, René Jura2,7, Lubomír Jurák8, Lukáš Klečka9, Jiří Neumann10, Svatopluk Ostrý11,12,13, Daniel Šaňák14, Petr Ševčík15,16, Ondřej Škoda17,18, Martin Šrámek19, Aleš Tomek20, Daniel Václavík21.   

Abstract

Background The benefit of intravenous thrombolysis is time dependent. It remains unclear, however, whether dramatic shortening of door-to-needle time (DNT) among different types of hospitals nationwide does not compromise safety and still improves outcome. Methods and Results Multifaceted intervention to shorten DNT was introduced at a national level, and prospectively collected data from a registry between 2004 and 2019 were analyzed. Generalized estimating equation was used to identify the association between DNT and outcomes independently from prespecified baseline variables. The primary outcome was modified Rankin score 0 to 1 at 3 months, and secondary outcomes were parenchymal hemorrhage/intracerebral hemorrhage (ICH), any ICH, and death. Of 31 316 patients treated with intravenous thrombolysis alone, 18 861 (60%) had available data: age 70±13 years, National Institutes of Health Stroke Scale at baseline (median, 8; interquartile range, 5-14), and 45% men. DNT groups 0 to 20 minutes, 21 to 40 minutes, 41 to 60 minutes, and >60 minutes had 3536 (19%), 5333 (28%), 4856 (26%), and 5136 (27%) patients. National median DNT dropped from 74 minutes in 2004 to 22 minutes in 2019. Shorter DNT had proportional benefit: it increased the odds of achieving modified Rankin score 0 to 1 and decreased the odds of parenchymal hemorrhage/ICH, any ICH, and mortality. Patients with DNT ≤20 minutes, 21 to 40 minutes, and 41 to 60 minutes as compared with DNT >60 minutes had adjusted odds ratios for modified Rankin score 0 to 1 of the following: 1.30 (95% CI, 1.12-1.51), 1.33 (95% CI, 1.15-1.54), and 1.15 (95% CI, 1.02-1.29), and for parenchymal hemorrhage/ICH: 0.57 (95% CI, 0.45-0.71), 0.76 (95% CI, 0.61-0.94), 0.83 (95% CI, 0.70-0.99), respectively. Conclusions Ultrashort initiation of thrombolysis is feasible, improves outcome, and makes treatments safer because of fewer intracerebral hemorrhages. Stroke management should be optimized to initiate thrombolysis as soon as possible optimally within 20 minutes from arrival to a hospital.

Entities:  

Keywords:  acute ischemic stroke; door‐to‐needle time; intravenous thrombolysis; stroke logistics

Mesh:

Substances:

Year:  2022        PMID: 35574953      PMCID: PMC9238542          DOI: 10.1161/JAHA.121.023524

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   6.106


American Heart Association door‐to‐needle time intracerebral hemorrhage modified Rankin Scale National Institutes of Health Stroke Scale parenchymal hemorrhage Registry of Stroke Care Quality Safe Implementation of Treatments in Stroke

Clinical Perspective

What Is New?

Acute stroke care in the Czech Republic has improved in the past 16 years. In 2019, the door‐to‐needle time for intravenous thrombolysis within 20 minutes was accessible for almost 50% of patients with ischemic stroke.

What Are the Clinical Implications?

Ultrashort initiation of thrombolysis is safer and is associated with a better outcome for patients with stroke. In clinical trials, patients benefitted more from intravenous thrombolysis if treatment was initiated sooner after symptom onset. One of the estimations was that 1‐minute shorter door‐to‐needle time (DNT) results in additional 1 to 2 days of disability‐adjusted life‐years. The underlying biological reason is that during each minute of acute stroke, ≈1.9 million neurons, 14 billion synapses, and 12 km of myelinated fibers die. In 2012, we demonstrated that in clinical practice in Eastern Europe shorter DNT was associated with better outcome. This analysis was conducted based on data from patients treated with thrombolysis between 2003 and 2010. In this period, however, only 38% of patients who underwent thrombolysis had a DNT ≤60 minutes. Later in 2012 to 2013, some highly experienced stroke centers, originally from Helsinki, documented that DNT could be shortened to 20 to 25 minutes. , Several interventions (eg, development and accreditation of stroke centers, improvement of prehospital and hospital care, education, simulations in stroke care, and interhospital benchmarking) were subsequently used to implement the Helsinki model nationwide, aiming to bring the national median DNT to 20 minutes. However, it remains unproven, based on previous data both from randomized clinical trials and clinical practice, whether dramatic shortening of DNT among all hospitals does not compromise safety and retains a positive influence on patients’ outcome. To answer this question, we analyze the national sample including data after dramatic shortening of DNT has become frequent in clinical practice.

METHODS

This is a cohort study of prospectively collected patient cases treated in all stroke centers in the Czech Republic with intravenous thrombolysis alone between 2004 and 2019 to analyze the relationship between logistics for intravenous thrombolysis and patient outcome. The data set and statistical files supporting the conclusions of this article are available by reasonable request from the corresponding author. The data for the present study were obtained from the SITS (Safe Implementation of Treatments in Stroke) registry and RES‐Q (Registry of Stroke Care Quality). SITS was used in the Czech Republic as a primary stroke registry between 2004 and 2018. Since 2016, RES‐Q started to be used first for quality monitoring (www.qualityregistry.eu) and since 2019 also replaced SITS for collection of patients treated with thrombolysis and/or mechanical thrombectomy. Collection of all information on patients treated with thrombolysis and thrombectomy became standard practice in 2004 and was further reinforced by certification of stroke centers in 2011 by the Ministry of Health, which demanded collection of stroke cases in a registry as part of service assessment. Because there are no competing registries, all cases have always been collected in a single registry. A detailed description of the development of national stroke services in the Czech Republic, interventions to shorten DNT and time trends of DNT, and yearly thrombolytic rates were published.

Covariates

To minimize the risk of residual confounding, all baseline variables contained in the registry that were previously shown to be associated with modified Rankin Scale (mRS) or intracerebral hemorrhage (ICH) , and had ≤20% of missing cases were used for adjustments. These variables included age, sex, baseline National Institutes of Health Stroke Scale (NIHSS) score, baseline systolic blood pressure, mRS before stroke, history of arterial hypertension, diabetes, atrial fibrillation, congestive heart failure, smoking (current smoker), use of aspirin, clopidogrel, the onset‐to‐door time, and dose of alteplase (per body weight, the dose was 0.9 mg/kg throughout the whole study). Three sensitivity analyses were performed. For the first, the onset‐to‐door time was not used because of relationships between longer onset‐to‐door time and shorter DNT, as previously published. , For the second, only age and NIHSS were used for adjustment as these 2 variables are usually considered the most important and stable predictors of the outcome. The third sensitivity analysis limited the data set to patients treated only between 2015 and 2019 (to eliminate the influence of improvement of stroke care in general on our outcomes measures) and to include cases treated not only with intravenous thrombolysis but also with mechanical thrombectomy.

Outcome Measures

The primary outcome was a favorable clinical outcome as defined by an mRS score of 0 or 1 assessed during a hospital visit at 3 months. Secondary outcome measures included parenchymal hemorrhage (PH; PH/ICH, defined as a clot on imaging), any ICH (any ICH, defined as petechial hemorrhage or a clot on imaging) on follow‐up computed tomography scan, or death within 3 months as ascertained by investigators. We opted to use the radiological definition of hemorrhagic transformation because this information is collected, as primary information in the registry while ascertaining which ICH was or was not clinically symptomatic is not primary information and would have required taking into account additional information, eg, NIHSS at 2 and 24 hours. Such information is less reliable and more frequently missing as compared with baseline NIHSS.

Statistical Analysis

Continuous and categorical variables are reported as mean±SD, medians with percentiles, or frequencies with percentages. Only hospitals with >100 cases were included and data were checked for duplicities. Patients without information on DNT or mRS at 3 months were excluded from all analyses. All fields were examined for missing data or outliers, and outlying data were excluded if erroneous. There was no imputation of missing data for primary analysis, but, as part of sensitivity analysis, we performed multiple imputations of missing baseline variables. Markov chain Monte Carlo in PROC MI (SAS Institute Inc) has been used to create 10 complete data sets for analysis of each outcome. Proportions of missing data are reported. Generalized mixed models were used for graphical presentation of the trend of favorable outcome, PH, any ICH, and mortality on DNT as a continuous variable with odds ratios (ORs) and 95% CIs using the normal approximation method. Hospital was used as a random effect variable. Estimated ORs were adjusted for all baseline variables. To account for the clustering of patients within hospitals, generalized estimating equations were used to assess the association between the DNT ≤20 minutes, 40 minutes, 60 minutes, and ≥60 minutes, and clinical outcomes (mRS 0 or 1, PH/ICH, any ICH, death). The reason for stratification of DNT by 20 minutes is based on clinical consideration and is supported by evidence that achieving DNT ≤20 minutes is feasible in clinical practice. , , The hospital was used as a cluster variable. Adjusted ORs (aORs) were obtained, along with 95% CIs, and a P<0.05 was considered statistically significant. All analyses were performed using SAS version 9.4 (SAS Institute Inc). In both registries, data were collected as part of routine clinical practice to assess the utilization and quality of stroke services. Also, in both registries, data were collected in anonymized format. Therefore, patients were not required to provide informed consent. Multicenter St. Anne’s ethical committee approved the analysis of these data.

Role of the Funding Source

The funding source had no role in the design of this study, during analysis, interpretation of the data, or decision to submit results.

RESULTS

Of 31 316 patients treated with intravenous thrombolysis alone between 2004 and 2019, 11 763 patients had missing either DNT or mRS data at 3 months, leaving 19 553 (62%) cases from 68 hospitals. Next, 692 (3.5%) patients were excluded because they were from 24 hospitals that treated <100 patients in the study period. The final number of cases was 18 861 (60% of all cases with intravenous thrombolysis) who were treated in 44 hospitals, representing 98% of all 45 certified stroke centers in the country. Baseline variables for excluded cases are shown in Table 1 and are the same or nearly the same (except for shorter onset‐to‐treatment time) as the included cases. For the included cases, the mean age of patients was 70±13 years, median NIHSS score at baseline was 8 (interquartile range, 5–14), and 45% were men; for the excluded cases, the mean age of patients was 70±13 years, median NIHSS score at baseline was 8 (interquartile range, 5–13), and 45% were men.
Table 1

Demographic Data of All Patients and According to Strata of DNT

All, N=18 861 (100%)Missing, n (%)DNT ≤20 min, n=3536 (19%)DNT 21–40 min, n=5333 (28%)DNT 41–60 min, n=4856 (26%)DNT >60 min, n=5136 (27%)Excluded cases, n=12 455*
Age, mean (SD), y70±1320 (0.1)71±1371±1370±1369±1370±13
Men, n (%)8567 (45)0 (0)1695 (48)2445 (46)2177 (45)2250 (44)5594 (45)
NIHSS score at baseline, median (25th–75th percentile)8 (5–14)2416 (13)7 (4–12)7 (5–13)8 (5–15)9 (6–15)8 (5–13)
Blood pressure systolic, mean±SD159±25663 (4)157±24158±25159±25160±26159±26
mRS 0 or 1 before stroke, n (%)15 243 (86)1171 (6)2865 (85)4301 (85)3970 (87)4107 (87)6562 (83)
Arterial hypertension, n (%)13 818 (73)243 (1)2578 (74)3884 (74)3549 (74)3807 (75)6586 (75)
Diabetes, n (%)5197 (28)112 (1)964 (28)1503 (28)1323 (27)1407 (28)2555 (29)
Atrial fibrillation, n (%)3144 (17)247 (1)500 (14)782 (15)874 (18)988 (19)1587 (18)
Congestive HF, n (%)1735 (9)252 (1)324 (9)436 (8)471 (10)504 (10)818 (9)
Current smoker, n (%)3319 (18)246 (1)593 (17)929 (18)852 (18)945 (19)1603 (18)
Aspirin, n (%)6009 (32)111 (1)1127 (32)1742 (33)1522 (32)1618 (32)2900 (33)
Clopidogrel, n (%)1063 (6)497 (3)281 (8)340 (7)241 (5)201 (4)597 (7)
Dose of alteplase, mean±SD71±14650 (3)71±1470±1471±1371±1470±14
ODT, mean±SD91±61621 (3)101±7199±6691±5577±4990±67
ODT, median (25–75 percentile)79 (54–120)621 (3)85 (57–135)85 (55–131)80 (55–120)68 (45–99)75 (46–116)
OTT, median (25–75 percentile)133 (100–175)621 (3)100 (71–150)115 (87–165)132 (105–170)157 (130–185)120 (90–165)

DNT indicates door‐to‐needle time; HF, heart failure; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale; ODT, onset‐to‐door time; and OTT, onset‐to‐treatment time.

The number of missing cases within excluded cases is not shown. Percentages in the column are calculated as positive values (shown) divided by nonmissing cases (not shown).

Demographic Data of All Patients and According to Strata of DNT DNT indicates door‐to‐needle time; HF, heart failure; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale; ODT, onset‐to‐door time; and OTT, onset‐to‐treatment time. The number of missing cases within excluded cases is not shown. Percentages in the column are calculated as positive values (shown) divided by nonmissing cases (not shown). The median DNT dropped from 74 minutes in 2004 (n=124) to 60 minutes in 2012 (n=982), 40 minutes in 2016 (n=2131), and 22 minutes in 2019 (n=2498). DNT 0 to 20, 21 to 40, 41 to 60, and >60 minutes included 3536 (19%), 5333 (28%), 4856 (26%), and 5136 (27%) of patients, respectively. Overall, DNT ≤30 and ≤75 minutes were achieved by 6354 (34%) and 8718 (46%) of patients, respectively. In 2019 only, DNT ≤20, ≤30, ≤45, and ≤60 minutes were achieved by 47%, 71%, 88%, and 94% of patients, respectively. Median onset‐to‐door time in patients with DNT 0 to 20, 21 to 40, 41 to 60, and >60 minutes was 85 minutes, 85 minutes, 80 minutes, 68 minutes, respectively (P<0.0001). Median onset‐to‐treatment time was 133 minutes (interquartile range, 100–175 minutes). More detailed demographic data are shown in Table 1. At 3 months, mRS 0 to 1 was achieved in 9431 (50%) of patients (0% missing data), PH/ICH in 944 (6%; 12% missing data), any ICH in 1705 (10%; 12% missing data), and death in 2442 (15%; 12% missing data) patients. In patients with a DNT of 0 to 20 minutes, the proportion of PH in 2004 to 2009 versus 2010 to 2014 versus 2015 to 2019 was 10% (95% CI, 4–23) versus 7% (95% CI, 3–13) versus 4% (95% CI, 3–5), respectively. Trends in the percentages of all outcome measures (mRS 0 or 1 PH/ICH, any ICH, and death) from 2004 to 2019 are shown in Figure 1. In patients with DNT ≤20, 21 to 40, 41 to 60, and >60 minutes, the percentage of patients achieving mRS 0 to 1 at 3 months was 55%, 54%, 49%, and 44%, respectively.
Figure 1

The frequency of primary and secondary outcomes associated with changed door‐to‐needle time during the period 2004 to 2019.

The data for death in 2019 are not yet available. ICH indicates intracerebral hemorrhage; mRS, modified Rankin Scale; and PH, parenchymal hemorrhage.

The frequency of primary and secondary outcomes associated with changed door‐to‐needle time during the period 2004 to 2019.

The data for death in 2019 are not yet available. ICH indicates intracerebral hemorrhage; mRS, modified Rankin Scale; and PH, parenchymal hemorrhage. Outcome measures stratified by DNT are shown in Figure 2A through 2D. Shorter DNT proportionally increased the odds of achieving mRS 0 to 1 and decreased the odds of PH/ICH, any ICH, and mortality, as documented in Figure 2A through 2D. The relationship between DNT stratified by 20 minutes and mRS 0 to 1, PH/ICH, any ICH, and death is shown in Table 2. After adjusting for all baseline differences, patients with DNT ≤20, 21 to 40, and 41 to 60 minutes as compared with patients with DNT >60 minutes had the following ORs for mRS 0 to 1: 1.30 (95% CI, 1.12–1.51), 1.33 (95% CI, 1.15–1.54), 1.15 (95% CI, 1.02–1.29); for PH/ICH: 0.57 (95% CI, 0.45–0.71), 0.76 (95% CI, 0.61–0.94), 0.83 (95% CI, 0.70–0.99); for any ICH: 0.61 (95% CI, 0.49–0.76), 0.73 (95% CI, 0.63–0.86), 0.83 (95% CI, 0.71–0.98); and for death: 1.05 (95% CI, 0.74–1.48), 0.85 (95% CI, 0.72–1.02), 0.75 (95% CI, 0.64–0.87), respectively. Results were similar in sensitivity analysis using different adjustments (Table 2).
Figure 2

Logistic regression model showing the exponentiated parameter estimate with 95% confidence limits (CLs) for the main outcomes as a function of door‐to‐needle time (DNT).

A through D, All patients treated with intravenous thrombolysis (IVT) alone between 2004 and 2019 were included. (A) An odds ratio of 1 corresponds with a DNT of 51 minutes. Decreasing DNT increases the odds for a favorable outcome. B through D, With decreasing DNT, there is a decrease in brain parenchymal hemorrhage, any intracerebral hemorrhage, and mortality. E through L, Sensitivity analyses showing patients treated not only with IVT (E through H) alone but also with mechanical thrombectomy (I through L) between 2015 and 2019 were included.

Table 2

Association Between DNT and Outcome Measures

DNT ≤20 min vs DNT 21–40 minDNT ≤20 min vs DNT 41–60 minDNT ≤20 min vs DNT >60 minDNT 21–40 min vs DNT 41–60 minDNT 21–40 min vs DNT >60 minDNT 41–60 min vs DNT >60 minExcluded cases, %
mRS 0 or 1
Unadjusted analysis, n=18 8611.07 (0.98–1.17)1.30 (1.16–1.45)* 1.59 (1.40–1.80)* 1.21 (1.11–1.33)* 1.48 (1.33–1.66)* 1.22 (1.12–1.33)* 0
Adjusted for age and NIHSS1.01 (0.92–1.11)1.13 (0.99–1.28)1.33 (1.17–1.51)* 1.12 (1.01–1.24)* 1.32 (1.17–1.49)* 1.18 (1.06–1.32)* 13
Adjusted for all without ODT0.98 (0.89–1.09)1.14 (1.01–1.28)* 1.29 (1.11–1.49)* 1.16 (1.02–1.31)* 1.31 (1.14–1.50)* 1.13 (1.00–1.27)* 23
Adjusted for all 0.98 (0.88–1.09)1.14 (1.01–1.28)* 1.30 (1.12–1.51)* 1.16 (1.02–1.32)* 1.33 (1.15–1.54)* 1.15 (1.02–1.29)* 25
PH‐ICH
Unadjusted analysis, n=18 8610.80 (0.64–1.00)0.68 (0.52–0.89)* 0.56 (0.43–0.73)* 0.86 (0.73–1.01)0.70 (0.58–0.85)* 0.82 (0.68–0.98)* 12
Adjusted for age and NIHSS0.86 (0.68–1.11)0.78 (0.58–1.05)0.62 (0.47–0.82)* 0.90 (0.73–1.11)0.72 (0.58–0.88)* 0.79 (0.66–0.95)* 22
Adjusted for all without ODT0.78 (0.61–0.99)* 0.73 (0.56–0.94)* 0.61 (0.48–0.76)* 0.94 (0.76–1.15)0.78 (0.63–0.96)* 0.83 (0.70–0.99)* 31
Adjusted for all0.75 (0.58–0.96)* 0.68 (0.52–0.89)* 0.57 (0.45–0.71)* 0.91 (0.74–1.13)0.76 (0.61–0.94)* 0.83 (0.70–0.99)* 33
Any ICH
Unadjusted analysis, n=18 8610.86 (0.72–1.02)0.70 (0.59–0.82)* 0.58 (0.48–0.72)* 0.82 (0.72–0.93)* 0.68 (0.59–0.79)* 0.84 (0.72–0.97)* 12
Adjusted for age and NIHSS0.91 (0.75–1.10)0.78 (0.66–0.93)* 0.65 (0.52–0.80)* 0.86 (0.73–1.01)0.71 (0.60–0.83)* 0.83 (0.71–0.95)* 22
Adjusted for all without ODT0.84 (0.70–1.01)0.75 (0.63–0.90)* 0.64 (0.51–0.79)* 0.90 (0.76–1.06)0.76 (0.65–0.89)* 0.84 (0.72–0.99)* 31
Adjusted for all0.83 (0.68–1.00)0.73 (0.61–0.87)* 0.61 (0.49–0.76)* 0.88 (0.74–1.04)0.73 (0.63–0.86)* 0.83 (0.71–0.98)* 33
Death
Unadjusted analysis, n=18 8611.06 (0.88–1.28)1.02 (0.80–1.23)0.82 (0.64–1.05)0.97 (0.83–1.13)0.77 (0.66–0.91)* 0.80 (0.70–0.92)* 12
Adjusted for age and NIHSS1.21 (0.96–1.52)1.28 (0.98–1.67)0.96 (0.72–1.28)1.06 (0.88–1.27)0.80 (0.68–0.93)* 0.75 (0.65–0.87)* 25
Adjusted for all without ODT1.23 (0.93–1.62)1.43 (1.04–1.95)* 1.09 (0.76–1.55)1.16 (0.99–1.37)0.88 (0.74–1.05)0.76 (0.66–0.88)* 35
Adjusted for all1.22 (0.94–1.60)1.40 (1.03–1.90)* 1.05 (0.74–1.48)1.14 (0.97–1.34)0.85 (0.72–1.02)0.75 (0.64–0.87)* 37

Values are presented as odds ratios (95% CIs). All baseline variables include age, sex, baseline National Institutes of Health Stroke Scale (NIHSS) score, baseline systolic blood pressure, modified Rankin Scale (mRS) before stroke, history of arterial hypertension, diabetes, atrial fibrillation, congestive heart failure, smoking (current smoker), use of aspirin, clopidogrel, and dose of alteplase. DNT indicates door‐to‐needle time; ICH, intracerebral hemorrhage; ODT, onset‐to‐door time; and PH, parenchymal hemorrhage.

Statistically significant results.

Primary analysis included all baseline variables.

Logistic regression model showing the exponentiated parameter estimate with 95% confidence limits (CLs) for the main outcomes as a function of door‐to‐needle time (DNT).

A through D, All patients treated with intravenous thrombolysis (IVT) alone between 2004 and 2019 were included. (A) An odds ratio of 1 corresponds with a DNT of 51 minutes. Decreasing DNT increases the odds for a favorable outcome. B through D, With decreasing DNT, there is a decrease in brain parenchymal hemorrhage, any intracerebral hemorrhage, and mortality. E through L, Sensitivity analyses showing patients treated not only with IVT (E through H) alone but also with mechanical thrombectomy (I through L) between 2015 and 2019 were included. Association Between DNT and Outcome Measures Values are presented as odds ratios (95% CIs). All baseline variables include age, sex, baseline National Institutes of Health Stroke Scale (NIHSS) score, baseline systolic blood pressure, modified Rankin Scale (mRS) before stroke, history of arterial hypertension, diabetes, atrial fibrillation, congestive heart failure, smoking (current smoker), use of aspirin, clopidogrel, and dose of alteplase. DNT indicates door‐to‐needle time; ICH, intracerebral hemorrhage; ODT, onset‐to‐door time; and PH, parenchymal hemorrhage. Statistically significant results. Primary analysis included all baseline variables. Limiting data sets to patients (n=23 147) treated only between 2015 and 2019 with intravenous thrombolysis alone (Figure 2E through 2H) but also with mechanical thrombectomy (Figure 2I through 2L), 9495 (41%) patients had missing either DNT or mRS information at 3 months, leaving 13 652 (62%) cases, of which 13 461 (99%) were from hospitals treating ≥100 patients. A total of 11 463 patients had intravenous thrombolysis alone and 1998 together with mechanical thrombectomy. Figure 2 demonstrating that shorter door‐to‐needle time for initiation of intravenous thrombolysis with or without mechanical thrombectomy is associated with a proportional increase of the odds of mRS 0 or 1 and decreased the odds of PH/ICH, any ICH, and mortality.

DISCUSSION

We studied the association between the speed of in‐hospital logistics before initiation of intravenous thrombolysis and outcome. Nearly all hospitals nationally that admit patients with acute strokes and treat them with intravenous thrombolysis contributed to this analysis. The volume of thrombolytic treatments was high because, since 2016, >20% of all patients with ischemic strokes in the population received treatment (4200 of 21 943 cases). Therefore, our results are relevant not only to all hospitals nationally but also to the majority of candidates for intravenous thrombolysis in the population. In a study period spanning >16 years, on average, 19% of cases were treated with “ultrashort” intravenous thrombolysis, ie, within 20 minutes after arrival to the hospital. However, in 2019, almost half (47%) of all patients received ultrashort thrombolysis. Such a high number of ultrashort deliveries of alteplase confirm the feasibility (details of implementation we previously reported ) and allowed us to analyze at the population level if, how, and why ultrashort delivery benefits the patients. Patients who received intravenous thrombolysis with shorter DNT proportionally increased the odds of achieving mRS 0 to 1. Intravenous thrombolysis provided within 20 minutes or 20 to 40 minutes after patient arrival to the hospital had 30% higher odds of the better 3‐month outcome in comparison to patients treated after 60 minutes after arrival to the hospital, irrespective of baseline differences. In absolute numbers, this represents 10% more patients being cured after a stroke if treated within an ultrashort period after arrival to the hospital as compared with treated later. The magnitude of the efficacy of such ultrashort treatment is far from negligible and similar to the thrombolytic treatment itself, ie, compared with placebo. Our study provides some explanation of the mechanisms on why ultrashort delivery improves outcome. Patients who received intravenous thrombolysis, eg, within 20 minutes in comparison to patients treated after 60 minutes of arrival, had fewer complications after treatment (PH: 4% versus 7%; any ICH: 8% versus 13%). Therefore, not only does faster treatment not compromise safety, it actually improves it (overall proportion of PH was similar as reported in randomized clinical trials). Patients with shorter DNT also had proportionally slightly decreased mortality, although, after (and because of) categorizing DNT, we observed opposite trends. Our results are principally in agreement with previous data, although none of them achieved such short DNTs. First, in randomized clinical trials compared with placebo, alteplase had been shown to work better if provided with less delay. , Second, 2 large studies from the United States documented that shorter as compared with longer onset‐to‐treatment time or DNT improves both short‐ and long‐term outcome using different outcome measures such as in‐hospital and all‐cause mortality, independent ambulation at discharge, increased discharge to home, or all‐cause readmission. All of these studies, including ours, documented fewer hemorrhagic complications after intravenous thrombolysis, such as ICH. Our study provides additional evidence compared with previous studies because our patients were treated with much shorter DNT. In the previously mentioned and most recent study from the United States, only 6% of patients were treated with DNT ≤30 minutes, while in our data set, overall, it was 34%. Another independent and large data set from the United States shows that in 2017 there were 41% of patients treated with DNT ≤45 minutes, while in our data set it was 79% in the same year (not shown in the Results section), again documenting different clinical practice between both countries. Taking all of the evidence together, faster initiation of treatment means more benefit, including fewer complications after intravenous thrombolysis. In 2019, the Czech national median DNT was 22 minutes. In addition, as many as 88% of patients received intravenous thrombolysis within 45 minutes after arrival to the hospital and 94% within 60 minutes. The Dutch national audit reported a similar median national DNT of 25 minutes, supporting the generalizability of the ultrashort and modern logistics for thrombolysis. Both Czech and Dutch results substantially exceed even secondary and more demanding goals by the recent 2018 recommendation of the American Heart Association (AHA) stating that ≥50% of patients should achieve DNT ≤45 minutes. The primary logistical goal by AHA guidelines, however, still remains at a median DNT of 60 minutes (ie, DNT ≤60 minutes in which 50% of patients are treated). Accumulating evidence suggests that a target of 60 minutes DNT for intravenous thrombolysis is obsolete. The limitation of our study is that the data are based on a registry, which inherently contains missing and not validated data. The most missing variables were baseline NIHSS score and mRS at 3 months. First, however, 25% of the missing baseline NIHSS data were similar to other large registries in which baseline NIHSS data were missing in 24% to 29% of cases. , Second, excluded cases had basically the same demographic characteristics, including age and NIHSS score, and thus exclusion of cases seems unlikely to lead to bias. We also excluded 24 hospitals that treated <100 patients in the study period to avoid the extreme unequal center enrollments that may lead to loss of power and sensitivity to detect the treatment difference. However, these 24 hospitals treated only 3.5% of patients, and their exclusion could not have influenced the association between DNT and outcome. Another possible limitation is that we cannot rule out residual confounding. To limit such risk, we included a large number of baseline variables for adjustment and we conducted a sensitivity analysis (with a different set of baseline variables used for adjustment) to document that our results are robust. The only variable that we know that would influence the outcome and could not be used, because of missing values, was the baseline glucose level. Other confounders might exist such as results of multimodal imaging (eg, core volume) or hospital‐level characteristics, but these were not available or captured in the registry. The strengths of our study include the large unselected population covering 98% of Czech hospitals certified for acute stroke care into which all strokes are directed by law since 2012. For the same reason, our results may not be generalizable for stroke services not associated with thrombolysis. Another strength is that our study is generalizable for those thrombolytic treatments that are used as bridging to mechanical thrombectomy because sensitivity analysis documented that including mechanical thrombectomies shows a similar influence of DNT on outcomes.

CONCLUSIONS

In this population‐based study, a large number of strokes were treated with intravenous thrombolysis with DNT ≤20 minutes, thus confirming the feasibility of ultrashort initiation of treatment and among different types of stroke units. Shorter DNT was associated with better outcome also as a result of fewer cases of PH and ICH.

Sources of Funding

Mikulík was supported by project number CA18118, IRENE COST Action funded by COST Association; by IRIS‐TEPUS project number LTC20051, the INTER‐EXCELLENCE INTER‐COST Program of the Ministry of Education, Youth and Sports of the Czech Republic; by project number LQ1605, National Program of Sustainability II; and by STROCZECH within CZECRIN Large Research Infrastructure number LM2018128 funded by the state budget of the Czech Republic. Herzig was supported by the project number DRO – UHHK 00179906 from the Ministry of Health of the Czech Republic and by the grant project PROGRES Q40 from Charles University, Czech Republic.

Disclosures

Mikulík, Bar, Neumann, and Šaňák received honoraria payments and travel support from Boehringer Ingelheim. Herzig received honoraria payments from Bayer, Boehringer Ingelheim, and Gedeon Richter; and travel support from Biogen, Merck, and Teva Pharmaceuticals. Tomek reports personal fees from Boehringer Ingelheim, Pfizer, Amgen, MSD, Astra Zeneca, Medtronic, outside the submitted work. The remaining authors have no disclosures to report. Appendix S1 Click here for additional data file.
  21 in total

1.  Factors influencing in-hospital delay in treatment with intravenous thrombolysis.

Authors:  Robert Mikulík; Pavla Kadlecová; Anna Czlonkowska; Adam Kobayashi; Miroslav Brozman; Viktor Svigelj; Laszlo Csiba; Klara Fekete; Janika Kõrv; Vida Demarin; Aleksandras Vilionskis; Dalius Jatuzis; Yakup Krespi; Niaz Ahmed
Journal:  Stroke       Date:  2012-03-15       Impact factor: 7.914

Review 2.  2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association.

Authors:  William J Powers; Alejandro A Rabinstein; Teri Ackerson; Opeolu M Adeoye; Nicholas C Bambakidis; Kyra Becker; José Biller; Michael Brown; Bart M Demaerschalk; Brian Hoh; Edward C Jauch; Chelsea S Kidwell; Thabele M Leslie-Mazwi; Bruce Ovbiagele; Phillip A Scott; Kevin N Sheth; Andrew M Southerland; Deborah V Summers; David L Tirschwell
Journal:  Stroke       Date:  2018-01-24       Impact factor: 7.914

3.  A Decade of Improvement in Door-to-Needle Time Among Acute Ischemic Stroke Patients, 2008 to 2017.

Authors:  Xin Tong; Jennifer L Wiltz; Mary G George; Erika C Odom; Sallyann M Coleman King; Tiffany Chang; Xiaoping Yin; Robert K Merritt
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-12

4.  Time is brain--quantified.

Authors:  Jeffrey L Saver
Journal:  Stroke       Date:  2005-12-08       Impact factor: 7.914

5.  Relationship between onset-to-door time and door-to-thrombolysis time: a pooled analysis of 10 dedicated stroke centers.

Authors:  Daniel Strbian; Patrik Michel; Peter Ringleb; Heikki Numminen; Lorenz Breuer; Marie Bodenant; David J Seiffge; Simon Jung; Victor Obach; Bruno Weder; Marjaana Tiainen; Ashraf Eskandari; Christoph Gumbinger; Henrik Gensicke; Angel Chamorro; Heinrich P Mattle; Stefan T Engelter; Didier Leys; Martin Köhrmann; Anna-Kaisa Parkkila; Werner Hacke; Turgut Tatlisumak
Journal:  Stroke       Date:  2013-07-25       Impact factor: 7.914

6.  Stroke 20 20: Implementation goals for intravenous thrombolysis.

Authors:  Robert Mikulik; Michal Bar; David Cernik; Roman Herzig; Rene Jura; Lubomir Jurak; Jiri Neumann; Daniel Sanak; Svatopluk Ostry; Petr Sevcik; Ondrej Skoda; David Skoloudik; Daniel Vaclavik; Ales Tomek
Journal:  Eur Stroke J       Date:  2021-04-12

7.  Time to treatment with intravenous tissue plasminogen activator and outcome from acute ischemic stroke.

Authors:  Jeffrey L Saver; Gregg C Fonarow; Eric E Smith; Mathew J Reeves; Maria V Grau-Sepulveda; Wenqin Pan; Daiwai M Olson; Adrian F Hernandez; Eric D Peterson; Lee H Schwamm
Journal:  JAMA       Date:  2013-06-19       Impact factor: 56.272

8.  The Heidelberg Bleeding Classification: Classification of Bleeding Events After Ischemic Stroke and Reperfusion Therapy.

Authors:  Rüdiger von Kummer; Joseph P Broderick; Bruce C V Campbell; Andrew Demchuk; Mayank Goyal; Michael D Hill; Kilian M Treurniet; Charles B L M Majoie; Henk A Marquering; Michael V Mazya; Luis San Román; Jeffrey L Saver; Daniel Strbian; William Whiteley; Werner Hacke
Journal:  Stroke       Date:  2015-09-01       Impact factor: 7.914

9.  Why are acute ischemic stroke patients not receiving IV tPA? Results from a national registry.

Authors:  Steven R Messé; Pooja Khatri; Mathew J Reeves; Eric E Smith; Jeffrey L Saver; Deepak L Bhatt; Maria V Grau-Sepulveda; Margueritte Cox; Eric D Peterson; Gregg C Fonarow; Lee H Schwamm
Journal:  Neurology       Date:  2016-09-14       Impact factor: 9.910

Review 10.  Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials.

Authors:  Jonathan Emberson; Kennedy R Lees; Patrick Lyden; Lisa Blackwell; Gregory Albers; Erich Bluhmki; Thomas Brott; Geoff Cohen; Stephen Davis; Geoffrey Donnan; James Grotta; George Howard; Markku Kaste; Masatoshi Koga; Ruediger von Kummer; Maarten Lansberg; Richard I Lindley; Gordon Murray; Jean Marc Olivot; Mark Parsons; Barbara Tilley; Danilo Toni; Kazunori Toyoda; Nils Wahlgren; Joanna Wardlaw; William Whiteley; Gregory J del Zoppo; Colin Baigent; Peter Sandercock; Werner Hacke
Journal:  Lancet       Date:  2014-08-05       Impact factor: 79.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.