| Literature DB >> 29399075 |
Alimu Wufuer1, Atikaimu Wubuli2, Peierdun Mijiti2, Jun Zhou1, Shabier Tuerxun1, Jian Cai1, Jianhua Ma1, Xiaoning Zhang3.
Abstract
Collateral circulation affects the prognosis of patients with acute ischemic stroke (AIS) treated by thrombolysis. The present study performed a systematic assessment of the impact of the collateral circulation status on the outcomes of patients receiving thrombolysis treatment. Relevant full-text articles from the Cochrane Library, Ovid, Medline, Embase and PubMed databases published from January 1, 2000 to November 1, 2016 were retrieved. The quality of the studies was assessed and data were extracted by 2 independent investigators. The random-effects model was used to estimate the impact of good vs. poor collateral circulation, as well as baseline characteristics, on the outcome within the series presented as risk ratios. Subgroup analyses explored the potential factors that may interfere with the effects of the collateral circulation status on the outcome. A total of 29 studies comprising 4,053 patients were included in the present meta-analysis. A good collateral circulation status was revealed to have a beneficial effect on favorable functional outcome (modified Rankin scale, 0-3 at 3-6 months; P<0.001) and a higher rate of recanalization (P<0.001) compared with poor collateral circulation. Good collateral circulation was also associated with a lower rate of symptomatic intracranial hemorrhage (P<0.01), a lower rate of mortality (P<0.01) and a smaller infarct size (P<0.01). In conclusion, good collateral circulation was demonstrated to have a favorable prognostic value regarding the outcome for patients with AIS receiving thrombolysis treatment. Assessment of collateral circulation and penumbra area during pre-treatment imaging within an appropriate time-window prior to thrombolytic therapy will therefore improve the identification of AIS patients who may benefit from thrombolysis treatment.Entities:
Keywords: acute ischemic stroke; collateral circulation; systematic review and meta-analysis; thrombolysis
Year: 2017 PMID: 29399075 PMCID: PMC5772565 DOI: 10.3892/etm.2017.5486
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.447
Figure 1.Schematic representation of the screening and selection of studies for inclusion in the present meta-analysis.
Summary of the characteristics of the primary studies.
| Collateral circulation grading | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dichotomized collateral status | ||||||||||||||
| First author | Country | Year | Sample size (n) | Thrombolysis type | Mean age (years) | Median NIHSS at baseline | Duration of IVT (h) | Mean interval from onset to treatment (min) | Imaging modality | Grading method | Good | Poor | Study quality[ | (Refs.) |
| García-Tornel | Canada | 2016 | 108 | IVT, ET | 70 | 17 | 8 | 215 | CTA | University of Calgary collateral circulation scale (0–5) | 4–5 | 0–1 | A | ( |
| Angermaier | Germany | 2011 | 25 | ET | 67 | 14 | 6 | 244 | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Bang | USA/Korea | 2011 | 222 | ET | 65 | 16 | UNK | UNK | DSA | ASITN/SIR collateral circulation graded on a 5-point scale (0–4) | 2-4; | 0–1 | A | ( |
| Berkhemer | Netherlands | 2016 | 231 | ET | UNK | UNK | 6 | UNK | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Brunner | Germany | 2014 | 246 | IVT | 74 | 14 | 3 or 4.5 | 160 | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Calleja | Spain | 2013 | 54 | IVT | 73 | 10 | 4.5 or >4.5 based on imaging | 237 | CTP | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Christoforidis | USA | 2008 | 104 | ET | 68 | 16 | 12 | 285 | DSA | LCC graded on a 5-point scale (1–5) | 1–2 | 3–5 | A | ( |
| Fanou | Canada | 2015 | 395 | IVT, ET | 72 | 14 | 4.5 | 147 | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Gerber | Germany | 2016 | 93 | IVT, ET | 69 | 17 | UNK | 252 | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Kufner | Germany | 2015 | 62 | IVT | 71 | 11 | 4.5 | UNK | FLAIR MRI | Number of sections of FLAIR with hyperintense vessels | ≤4 | >4 | A | ( |
| Lee | Korea | 2000 | 17 | IVT | 63 | 15 | 3 or 7 | UNK | CTP | Percentage of severe Vdeficit in MCA territory | ≤erc | 33–50% | A | ( |
| Lee | USA | 2009 | 52 | IVT | 69 | 8 | 3 | UNK | FLAIR MRI | Distal hyperintense vessels (none/subtle/prominent) | Prominent[ | None[ | A | ( |
| Lima | USA | 2010 | 196 | IVT, ET | 69 | 13 | UNK | UNK | CTA | LCC graded on a 5-point scale (1–5) | UNK | UNK | A | ( |
| Menon | North America, Australia, Europe | 2015 | 185 | IVT, ET | UNK | UNK | 3 | UNK | CTA | LCC in ACA-MCA and PCA-MCA regions (0–10) | 6–10 | 0–5 | A | ( |
| Marks | USA | 2014 | 60 | IVT, ET | 64 | 19 | 12 | 360 | MRI | Collateral Flow Grading System with a 4-point scale (0–4) | 3–4 | 0–2 | A | ( |
| Miteff | Australia | 2009 | 92 | IVT, ET | 74 | 17 | 6 | UNK | CTA | LCC graded into 3 categories (good, moderate, poor) | Good | Moderate, poor | A | ( |
| Nambiar | Canada | 2013 | 84 | IVT, ET | 65 | 14 | 3 for IVT | UNK | CTA | rLMC score based on ASPECTS | rLMC score (11–20) | rLMC score (0–10) | A | ( |
| Ramaiah | Australia | 2013 | 87 | IVT, ET | 66 | 18 | UNK | 329 | CTA | LCC graded on a 4-point scale (0–3) | 3 | 0–2 | A | ( |
| Saarinen | Finland | 2014 | 105 | IVT | 69 | 13 | 3 | 132 | CTA | LCC graded on a 5-point scale (0–4) | 2–4 | 0–1 | A | ( |
| Sallustio | Italy | 2016 | 135 | IVT, ET | 69 | UNK | UNK | UNK | CTA | LCC graded on a 4-point scale (0–3) | 2–3 | 0–1 | A | ( |
| Mangiafico | Italy | 2014 | 103 | ET | 61 | 20 | 3–6 | 270 | CTA | Careggi collateral score 6 categories (0–5) | 2–5 | 0–1 | A | ( |
| van Seeters | Netherlands | 2016 | 484 | IVT, ET | 66 | 13 | 9 | 361 | CTA | Collateral filling of Vterritory of the affected MCA or MCA branch territory | ≥ran | <50% | A | ( |
| Sheth | USA | 2016 | 117 | IVT, ET | UNK | UNK | UNK | UNK | DSA | ASITN/SIR collateral circulation graded on a 5-point scale (0–4) | 3–4 | 0–2 | A | ( |
| Shin | Korea | 2014 | 43 | ET | UNK | UNK | 6 | UNK | CTA | Graded on CTA and delayed contrast CECT axial MIP imaging on a 4-point scale | 2–3 | 0–1 | A | ( |
| Souza | USA | 2012 | 197 | IVT, ET | 67 | 15 | 9 | UNK | CTA | LCC graded on a 4-point scale (0–3) | 1–3 | 0 | A | ( |
| Sung | Korea | 2014 | 30 | IVT, ET | 61 | 16 | 8 | 324 | DSA | LCC graded on a 5-point scale (0–4) | UNK | UNK | A | ( |
| Yeo | Singapore | 2015 | 200 | IVT | 63 | 19 | UNK | 155 | CTA | LCC by four different scores (i.e., the Miteff system, scores 1–3) | 2–3 | 1 | A | ( |
| Zhang | China | 2016 | 80 | IVT | 68 | 13 | 6 | 195 | CTA | rLMC score (rLMC-P and rLMC-M) | rLMC-P >11 rLMC-M>16 | rLMC-P ≤11 rLMC-M ≤MM | A | ( |
| Zhang | China | 2016 | 66 | IVT | UNK | UNK | 6 | UNK | PWI | ATD was defined as the velocity of collateral flow | ATD <2.3 sec | ATD ≥TD sec | A | ( |
The study quality was graded as A or B, with a Newcastle-Ottawa Scale of ≥6 or <6, respectively.
The collateral status was classified into more than two categories in the primary study but was dichotomized in the present study for analysis. Careggi collateral score were based on the extension of anterograde filling of the anterior cerebral artery and retrograde filling of middle cerebral artery territory in anteroposterior projection. ASITN/SIR, the American Society of Intervention and Therapeutic Neuroradiology/Society of Interventional Radiology; ASPECTS, Alberta Stroke Program Early CT Score; CTA, computed tomography angiography; CTP, computed tomography perfusion; DSA, digital subtraction angiography; FLAIR, fluid-attenuated inversion recovery; ICC, intraclass correlation; IVT, intravenous thrombolysis; MRI, magnetic resonance imaging; NIHSS, National Institutes of Health Stroke Scale; PWI, perfusion-weighted imaging; UNK, unknown; ET, endovascular treatment; ATD, arrival time delay; LCC, leptomeningeal collateral circulation; rLMC-P/M, regional leptomeningeal collateral circulation score on peak phase/temporally fused intensity projections.
Figure 2.Forest plot presenting the estimation of the overall effect of good vs. poor pre-treatment collateral circulation status on primary outcome, a favorable functional outcome at 3 or 6 months, in patients with AIS receiving thrombolysis therapy in 23 studies. The studies are aligned by the effect size. A favorable functional outcome was defined as an mRS of 0–2 at 3 months in 19 studies, mRS of 0–1 at 3 or 6 months in the study by Yeo et al (36), mRS of 0–3 at 3 months in the study by Sheth et al (32) and mRS of 0–2 at 6 months in the study by Lima et al (22). CI, confidence interval; M-H, Mantel-Haenszel; mRS, modified Rankin Scale; df, degrees of freedom.
Subgroup analyses for favorable functional outcome at 3–6 months.
| Inter-study heterogeneity | Inter-subgroup heterogeneity | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subgroup | Number of studies | Number of subjects | RR (95% CI) | Cochran's Q statistics | P-value | І2 statistics (%) | Cochran's Q statistics | P-value | І2 statistics (%) |
| Mean (or median) age (years) | 19 | 2,413 | 2.68 (2.33,3.09) | 37.58 | 0.004 | 52 | 1.94 | 0.16 | 48.6 |
| ≥70 | 5 | 562 | 3.38 (2.35,4.87) | ||||||
| <70 | 14 | 1,851 | 2.55 (2.19,2.97) | ||||||
| Median (or mean) baseline NIHSS | 17 | 2,143 | 2.45 (2.12,2.84) | 23.93 | 0.09 | 33 | 0.48 | 0.49 | 0 |
| ≥13 | 11 | 1,274 | 2.59 (2.09,3.20) | ||||||
| <13 | 6 | 869 | 2.33 (1.91,2.84) | ||||||
| Sample size | 22 | 2,608 | 2.46 (2.16,2.79) | 36.47 | 0.02 | 42 | 1.56 | 0.21 | 35.8 |
| ≥100% | 10 | 1,790 | 2.61 (2.20,3.08) | ||||||
| <100 | 12 | 818 | 2.22 (1.83,2.68) | ||||||
| Prescribed duration of treatment (h) | 15 | 1,856 | 2.32 (1.92,2.80) | 18.03 | 0.21 | 22 | 2.46 | 0.29 | 18.6 |
| ≤4.5 | 5 | 635 | 2.24 (1.61,3.12) | ||||||
| 4.5–6 | 5 | 367 | 3.18 (1.90,5.35) | ||||||
| >6 | 5 | 854 | 2.03 (1.63,2.54) | ||||||
| Treatment type | 22 | 2,608 | 2.33 (1.95,2.78) | 36.47 | 0.02 | 42 | 0.75 | 0.69 | 0 |
| IVT alone | 7 | 797 | 2.67 (1.87,3.80) | ||||||
| IVT + ET | 13 | 1,666 | 2.22 (1.75,2.81) | ||||||
| ET alone | 2 | 145 | 2.27 (1.51,3.41) | ||||||
RR, risk ratio; CI, confidence interval; IVT, intravenous thrombolysis; ET, endovascular treatment; NIHSS, National Institutes of Health Stroke Scale.
Figure 3.Forest plot presenting the estimation of the overall effects of good vs. poor pre-treatment collateral circulation status on HT. HT was defined according to the SITS-MOST definition by Calleja et al (16). HT was defined as a new hyperattenuated region identified on any follow-up CT scan before patient discharge in the study Christoforidis et al (7). HT for parenchymal hematoma formation (PH1 and PH2) was evaluated from any follow-up CT or magnetic resonance image undertaken within 7 days of stroke onset by Marks et al (24). HT, hemorrhagic transformation; CT, computed tomography; CI, confidence interval; M-H, Mantel-Haenszel; df, degrees of freedom.
Subgroup analyses for the outcomes of different treatment types in patients with good vs. poor collateral circulation.
| Inter-study heterogeneity | Inter-subgroup heterogeneity | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Outcome | Number of studies | Number of subjects | RR (95% CI) | Cochran's Q statistics | P-value | І2 statistics (%) | Cochran's Q statistics | P-value | І2 statistics (%) |
| HT | 15 | 1,436 | 0.57 (0.48, 0.68) | 17.21 | 0.25 | 19 | 6.63 | 0.04 | 69.8 |
| IVT alone | 5 | 432 | 0.43 (0.25, 0.72) | ||||||
| IVT + ET | 5 | 507 | 0.47 (0.34, 0.63) | ||||||
| ET alone | 5 | 497 | 0.73 (0.57, 0.93) | ||||||
| Mortality | 9 | 1,108 | 0.29 (0.22, 0.37) | 16.41 | 0.04 | 51 | 3.66 | 0.16 | 45.4 |
| IVT alone | 2 | 310 | 0.24 (0.14, 0.42) | ||||||
| IVT + ET | 6 | 696 | 0.27 (0.20, 0.36) | ||||||
| ET alone | 1 | 103 | 0.53 (0.27, 1.03) | ||||||
| Recanalization | 13 | 1,265 | 1.48 (1.31, 1.68) | 20.33 | 0.06 | 41 | 0.63 | 0.73 | 0 |
| IVT alone | 1 | 54 | 2.02 (0.92, 4.42) | ||||||
| IVT + ET | 9 | 1,041 | 1.47 (1.29, 1.67) | ||||||
| ET alone | 3 | 170 | 1.46 (0.94, 2.28) | ||||||
RR, risk ratio; CI, confidence interval; IVT, intravenous thrombolysis; ET, endovascular treatment; NIHSS, National Institutes of Health Stroke Scale; HT, hemorrhagic transformation.
Figure 4.Forest plot presenting the estimation of the overall effects of good vs. poor pre-treatment collateral circulation status on mortality. Mortality was determined at 3 months in 6 studies, at 1 month in 1 study and at the end of the hospitalization period in 2 studies. CI, confidence interval; M-H, Mantel-Haenszel; df, degrees of freedom.
Figure 5.Forest plot presenting the estimation of the overall effects of good vs. poor pre-treatment collateral circulation status on good recanalization or reperfusion. Thrombolysis in myocardial infarction scores were 2–3 in the studies by Angermaier et al and Fanou et al (13,17), thrombolysis in brain ischemia scores were 4–5 in the study by Calleja et al (16) and arterial occlusive lesion scores were 2–3 in the study by Zhang et al (37). CI, confidence interval; M-H, Mantel-Haenszel; df, degrees of freedom; TICI, thrombolysis in cerebral infarction.
Figure 6.Forest plot presenting the estimation of the overall effects of good vs. poor pre-treatment collateral circulation status on the final infarct size. SD, standard deviation; IV, inverse variance; CI, confidence interval.