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Blood pressure variability predicts poor outcomes in acute stroke patients without thrombolysis: a systematic review and meta-analysis

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Abstract

Background

Stroke is a significant medical condition, and blood pressure stands out as the most prevalent treatable risk factor associated with it. Researches link blood pressure variability (BPV) with stroke; however, the specific relationship between with the outcomes of stroke patients remains unclear. As blood pressure variability and mean blood pressure are interrelated, it remains uncertain whether BPV adds additional information to understanding the outcome of acute stroke patients.

Objective

To systematically review studies investigating the association between blood pressure variability and prognosis in acute stroke patients.

Methods

Embase, PubMed, Web of Science, and the Cochrane Library were searched for English language full-text articles from the inception to 1 January 2023. Stroke patients aged ≥ 18 years were included in this analysis. Stroke types were not restricted.

Results

This meta-analysis shows that higher systolic blood pressure variability is linked to a higher risk of poor outcome, including function disability, mortality, early neurological deterioration, and stroke recurrence, among acute stroke patients without thrombolysis. A higher diastolic blood pressure variability is linked with to a higher risk of mortality and functional disability.

Conclusions

This review reveals that blood pressure variability is a novel and clinically relevant risk factor for stroke patients’ outcome. Future studies should investigate how best to measure and define BPV in acute stroke. Larger studies are warranted to provide more robust evidence in this area.

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Data availability

The data that support the findings of this study are available from the corresponding author, Yuxia Ma, upon reasonable request.

References

  1. Johnson W, Onuma O, Owolabi M, Sachdev S (2016) Stroke: a global response is needed. Bull World Health Organ 94(9):634–634a

    Article  PubMed  PubMed Central  Google Scholar 

  2. Chung JY, Lee BN, Kim YS, Shin BS, Kang HG (2023) Sex differences and risk factors in recurrent ischemic stroke. Front Neurol 14:1028431

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R (2002) Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 360(9349):1903–1913

    Article  PubMed  Google Scholar 

  4. Rothwell PM, Howard SC, Dolan E, O’Brien E, Dobson JE, Dahlöf B, Poulter NR, Sever PS (2010) Effects of beta blockers and calcium-channel blockers on within-individual variability in blood pressure and risk of stroke. Lancet Neurol 9(5):469–480

    Article  CAS  PubMed  Google Scholar 

  5. Rothwell PM (2010) Limitations of the usual blood-pressure hypothesis and importance of variability, instability, and episodic hypertension. Lancet 375(9718):938–948

    Article  PubMed  Google Scholar 

  6. Schutte AE, Kollias A, Stergiou GS (2022) Blood pressure and its variability: classic and novel measurement techniques. Nat Rev Cardiol 19(10):643–654

    Article  PubMed  PubMed Central  Google Scholar 

  7. Klungel OH, de Boer A, Paes AH, Nagelkerke NJ, Seidell JC, Bakker A (2000) Estimating the prevalence of hypertension corrected for the effect of within-person variability in blood pressure. J Clin Epidemiol 53(11):1158–1163

    Article  CAS  PubMed  Google Scholar 

  8. Rouch L, De Souto BP, Hanon O, Vidal JS, Amar J, Andrieu S, Cestac P, Rolland Y, Vellas B (2021) Visit-to-visit blood pressure variability and incident frailty in older adults. J Gerontol A Biol Sci Med Sci 76(8):1369–1375

    Article  PubMed  Google Scholar 

  9. Chiriacò M, Pateras K, Virdis A, Charakida M, Kyriakopoulou D, Nannipieri M, Emdin M, Tsioufis K, Taddei S, Masi S, Georgiopoulos G (2019) Association between blood pressure variability, cardiovascular disease and mortality in type 2 diabetes: a systematic review and meta-analysis. Diabetes Obes Metab 21(12):2587–2598

    Article  PubMed  Google Scholar 

  10. Stevens SL, Wood S, Koshiaris C, Law K, Glasziou P, Stevens RJ, McManus RJ (2016) Blood pressure variability and cardiovascular disease: systematic review and meta-analysis. BMJ 354:i4098

    Article  PubMed  PubMed Central  Google Scholar 

  11. Fischer U, Cooney MT, Bull LM, Silver LE, Chalmers J, Anderson CS, Mehta Z, Rothwell PM (2014) Acute post-stroke blood pressure relative to premorbid levels in intracerebral haemorrhage versus major ischaemic stroke: a population-based study. Lancet Neurol 13(4):374–384

    Article  PubMed  PubMed Central  Google Scholar 

  12. Toyoda K, Okada Y, Fujimoto S, Hagiwara N, Nakachi K, Kitazono T, Ibayashi S, Iida M (2006) Blood pressure changes during the initial week after different subtypes of ischemic stroke. Stroke 37(10):2637–2639

    Article  PubMed  Google Scholar 

  13. Cuffe RL, Howard SC, Algra A, Warlow CP, Rothwell PM (2006) Medium-term variability of blood pressure and potential underdiagnosis of hypertension in patients with previous transient ischemic attack or minor stroke. Stroke 37(11):2776–2783

    Article  PubMed  Google Scholar 

  14. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, Roccella EJ (2003) Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 42(6):1206–1252

    Article  CAS  PubMed  Google Scholar 

  15. Sacco RL, Kasner SE, Broderick JP, Caplan LR, Connors JJ, Culebras A, Elkind MS, George MG, Hamdan AD, Higashida RT, Hoh BL, Janis LS, Kase CS, Kleindorfer DO, Lee JM, Moseley ME, Peterson ED, Turan TN, Valderrama AL, Vinters HV (2013) An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 44(7):2064–2089

    Article  PubMed  Google Scholar 

  16. Levy J, Gerber LM, Wu X, Mann SJ (2016) Nonadherence to recommended guidelines for blood pressure measurement. J Clin Hypertens (Greenwich) 18(11):1157–1161

    Article  PubMed  Google Scholar 

  17. Sebo P, Pechère-Bertschi A, Herrmann FR, Haller DM, Bovier P (2014) Blood pressure measurements are unreliable to diagnose hypertension in primary care. J Hypertens 32(3):509–517

    Article  CAS  PubMed  Google Scholar 

  18. Weller JM, Dorn F, Petzold GC, Bode FJ (2022) Intravenous thrombolysis upon flow restoration improves outcome in endovascular thrombectomy. J Neurointerv Surg. https://doi.org/10.1136/jnis-2022-019522

    Article  PubMed  PubMed Central  Google Scholar 

  19. Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25(9):603–605

    Article  PubMed  Google Scholar 

  20. Fernández-Castilla B, Aloe AM, Declercq L, Jamshidi L, Onghena P, Natasha Beretvas S, Van den Noortgate W (2019) Concealed correlations meta-analysis: a new method for synthesizing standardized regression coefficients. Behav Res Methods 51(1):316–331

    Article  PubMed  Google Scholar 

  21. Yousufuddin M, Murad MH, Peters JL, Ambriz TJ, Blocker KR, Khandelwal K, Pagali SR, Nanda S, Abdulrahim A, Patel U, Dugani S, Arumaithurai K, Takahashi PY, Kashani KB (2022) Within-person blood pressure variability during hospitalization and clinical outcomes following first-ever acute ischemic stroke. Am J Hypertens. https://doi.org/10.1093/ajh/hpac106

    Article  Google Scholar 

  22. Wang T, Xu J, Wang A, Liu Y, Zhao X, Wang Y, Wang Y (2022) Night-time diastolic blood pressure variability relates to stroke recurrence in patients who had ischaemic stroke with small artery occlusion. Stroke Vasc Neurol 7(3):237–244

    Article  PubMed  Google Scholar 

  23. Wang R, Liu Y, Yang P, Zhu Z, Shi M, Peng Y, Zhong C, Wang A, Xu T, Peng H, Xu T, Chen J, Zhang Y, He J (2022) Blood pressure fluctuation during hospitalization and clinical outcomes within 3 months after ischemic stroke. Hypertension 79(10):2336–2345

    Article  CAS  PubMed  Google Scholar 

  24. Wang N, Hu Y, Lin S, Zhang Z, Cai Q, Deng Y, Zhang H, Wu N, Qiu C, Yang X, Jin M, Li J (2022) Blood pressure variability related to early outcome of acute ischemia stroke in a prospective observational study. Medicine 101(38):e30780

    Article  Google Scholar 

  25. Tiago P, Pedro P, Sofia CA, Fabio A, Luisa LM, Teresa A, Abilio G (2022) Systolic blood pressure variability within 120 hours of admission predicts the functional outcomes at discharge of patients with acute ischemic stroke. J Neurocrit Care 15(1):32–38

    Article  Google Scholar 

  26. Tan C, Zhao L, Dai C, Liang Y, Liu H, Zhong Y, Liu G, Mo L, Den F, Liu X, Chen L (2022) Risk factors related to early neurological deterioration in lacunar stroke and its influence on functional outcome. Int J Stroke. https://doi.org/10.1177/17474930221145259

    Article  PubMed  Google Scholar 

  27. Luo T, Cui JS, Peng H, Xiang X, Xu Y, Yang H (2022) Effect of blood pressure on the prognosis of acute ischemic stroke patients caused by anterior circulation large vessel occlusion without recanalization. Clin Neurol Neurosurg 224:107540

    Article  PubMed  Google Scholar 

  28. Fukuda K, Matsuo R, Kamouchi M, Kiyuna F, Sato N, Nakamura K, Hata J, Wakisaka Y, Ago T, Imaizumi T, Kai H, Kitazono T, Investigators FSR (2022) Day-by-day blood pressure variability in the subacute stage of ischemic stroke and long-term recurrence. Stroke 53(1):70–78

    Article  PubMed  Google Scholar 

  29. Kamieniarz-Mędrygał M, Łukomski T, Kaźmierski R (2021) Short-term outcome after ischemic stroke and 24-h blood pressure variability: association and predictors. Hypertens Res 44(2):188–196

    Article  PubMed  Google Scholar 

  30. Yang C, Liu K, Song Y, Gong S, Ye R, Zhang Z, Chen X (2020) Day-by-day blood pressure variability is associated with neurological functional outcome after acute ischemic stroke. Front Neurol. https://doi.org/10.3389/fneur.2020.566825

    Article  PubMed  PubMed Central  Google Scholar 

  31. Thatikonda N, Khandait V, Shrikhande A, Singh K (2020) Role of 24-hr blood pressure variability as a target therapeutic risk factor for poor functional outcome of acute ischemic stroke. Ann Indian Acad Neurol 23(1):25–31

    Article  PubMed  PubMed Central  Google Scholar 

  32. Tang S, Xiong L, Fan Y, Mok VCT, Wong KS, Leung TW (2020) Stroke outcome prediction by blood pressure variability, heart rate variability, and baroreflex sensitivity. Stroke 51(4):1317–1320

    Article  CAS  PubMed  Google Scholar 

  33. Shin J-A, Lee K-J, Lee JS, Kang J, Kim BJ, Han M-K, Kim JY, Jang MS, Yang MH, Lee J, Gorelick PB, Bae H-J (2020) Relationship between blood pressure and outcome changes over time in acute ischemic stroke. Neurology 95(10):E1362–E1371

    Article  CAS  PubMed  Google Scholar 

  34. Han X, Zhang G, Liu N, Zhang H, Xu J, Han M, Zhang Y, Zhang Y, Chen L (2020) Blood pressure variability and severity of early prognosis in patients with acute pontine infarction. Int J Hypertens. https://doi.org/10.1155/2020/1203546

    Article  PubMed  PubMed Central  Google Scholar 

  35. Geng X, Liu X, Li F, Wang J, Sun H, Feng A, Sun Y, Yang F, Zhao J, Tang Y (2020) Blood pressure variability at different time periods within first 24 hours after admission and outcomes of acute ischemic stroke. J Clin Hypertens 22(2):194–204

    Article  Google Scholar 

  36. Meeks JR, Bambhroliya AB, Meyer EG, Slaughter KB, Fraher CJ, Sharrief AZ, Bowry R, Ahmed WO, Tyson JE, Miller CC, Warach S, Khan BA, McCullough LD, Savitz SI, Vahidy FS (2019) High in-hospital blood pressure variability and severe disability or death in primary intracerebral hemorrhage patients. Int J Stroke 14(9):987–995

    Article  PubMed  Google Scholar 

  37. Kang J, Kim BJ, Han M-K, Bae H-J (2019) The changing effect of blood pressure on stroke outcomes through acute to subacute stage of ischemic stroke. J Stroke Cerebrovasc Dis 28(9):2563–2568

    Article  PubMed  Google Scholar 

  38. Divani AA, Liu X, Di Napoli M, Lattanzi S, Ziai W, James ML, Jafarli A, Jafari M, Saver JL, Hemphill JC, Vespa PM, Mayer SA, Petersen A (2019) Blood pressure variability predicts poor in-hospital outcome in spontaneous intracerebral hemorrhage. Stroke 50(8):2023–2029

    Article  PubMed  Google Scholar 

  39. Zhang H-X, Fan Q-X, Xue S-Z, Zhang M, Zhao J-X (2018) Twenty-four-hour blood pressure variability plays a detrimental role in the neurological outcome of hemorrhagic stroke. J Int Med Res 46(7):2558–2568

    Article  PubMed  PubMed Central  Google Scholar 

  40. Tan Z, Meng H, Dong D, Zhao Y, Xu A (2018) Blood pressure variability estimated by ARV is a predictor of poor short-term outcomes in a prospective cohort of minor ischemic stroke. PLoS ONE 13(8):e0202317

    Article  PubMed  PubMed Central  Google Scholar 

  41. Mustanoja S, Putaala J, Koivunen RJ, Surakka I, Tatlisumak T (2018) Blood pressure levels in the acute phase after intracerebral hemorrhage are associated with mortality in young adults. Eur J Neurol 25(8):1034–1040

    Article  CAS  PubMed  Google Scholar 

  42. Kim BJ, Cho YJ, Hong KS, Lee J, Kim JT, Choi KH, Park TH, Park SS, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Nah HW, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kim WJ, Shin DI, Yeo MJ, Sohn SI, Hong JH, Lee JS, Lee J, Han MK, Gorelick PB, Bae HJ (2018) Trajectory groups of 24-hour systolic blood pressure after acute ischemic stroke and recurrent vascular events. Stroke 49(8):1836–1842

    Article  PubMed  Google Scholar 

  43. Bager J-E, Hjalmarsson C, Manhem K, Andersson B (2018) Acute blood pressure levels and long-term outcome in ischemic stroke. Brain Behav. https://doi.org/10.1002/brb3.992

    Article  PubMed  PubMed Central  Google Scholar 

  44. Liu Y, Yang Y, Jin H, Fan C, Lv P, Sun W, Peng Q, Zhao M, Jin DK, Wang J, Wong LKS, Anderson CS, Zheng L, Huang Y, China QQE (2017) Discrepant relationships between admission blood pressure and mortality in different stroke subtypes. J Neurol Sci 383:47–51

    Article  PubMed  Google Scholar 

  45. Kang J, Hong JH, Jang MU, Choi NC, Lee JS, Kim BJ, Han MK, Bae HJ (2017) Change in blood pressure variability in patients with acute ischemic stroke and its effect on early neurologic outcome. PLoS ONE 12(12):e0189216

    Article  PubMed  PubMed Central  Google Scholar 

  46. de Havenon A, Bennett A, Stoddard GJ, Smith G, Chung L, O’Donnell S, McNally JS, Tirschwell D, Majersik JJ (2017) Determinants of the impact of blood pressure variability on neurological outcome after acute ischaemic stroke. Stroke Vasc Neurol 2(1):1–6

    Article  PubMed  PubMed Central  Google Scholar 

  47. Tziomalos K, Giampatzis V, Bouziana SD, Spanou M, Kostaki S, Papadopoulou M, Angelopoulou SM, Tsopozidi M, Savopoulos C, Hatzitolios AI (2016) No association observed between blood pressure variability during the acute phase of ischemic stroke and in-hospital outcomes. Am J Hypertens 29(7):841–846

    Article  PubMed  Google Scholar 

  48. Mustanoja S, Putaala J, Gordin D, Tulkki L, Aarnio K, Pirinen J, Surakka I, Sinisalo J, Lehto M, Tatlisumak T (2016) Acute-phase blood pressure levels correlate with a high risk of recurrent strokes in young-onset ischemic stroke. Stroke 47(6):1593-U450

    Article  PubMed  Google Scholar 

  49. Fan J-S, Chen Y-C, Huang H-H, How C-K, Yen DH-T, Huang M-S (2015) The association between on-scene blood pressure and early neurological deterioration in patients with spontaneous intracerebral haemorrhage. Emerg Med J 32(3):239–243

    Article  PubMed  Google Scholar 

  50. Chung J-W, Kim N, Kang J, Park SH, Kim W-J, Ko Y, Park JH, Lee JS, Lee J, Yang MH, Jang MS, Oh CW, Kwon OK, Jung C, Kim BJ, Han M-K, Gorelick PB, Bae H-J (2015) Blood pressure variability and the development of early neurological deterioration following acute ischemic stroke. J Hypertens 33(10):2099–2106

    Article  CAS  PubMed  Google Scholar 

  51. Tanaka E, Koga M, Kobayashi J, Kario K, Kamiyama K, Furui E, Shiokawa Y, Hasegawa Y, Okuda S, Todo K, Kimura K, Okada Y, Okata T, Arihiro S, Sato S, Yamagami H, Nagatsuka K, Minematsu K, Toyoda K (2014) Blood pressure variability on antihypertensive therapy in acute intracerebral hemorrhage: the Stroke Acute Management with Urgent Risk-factor Assessment and Improvement-intracerebral hemorrhage study. Stroke 45(8):2275–9

    Article  CAS  PubMed  Google Scholar 

  52. Tomii Y, Toyoda K, Suzuki R, Naganuma M, Fujinami J, Yokota C, Minematsu K (2011) Effects of 24-hour blood pressure and heart rate recorded with ambulatory blood pressure monitoring on recovery from acute ischemic stroke. Stroke 42(12):3511–7

    Article  PubMed  Google Scholar 

  53. Stead LG, Gilmore RM, Vedula KC, Weaver AL, Decker WW, Brown RD (2006) Impact of acute blood pressure variability on ischemic stroke outcome. Neurology 66(12):1878–81

    Article  CAS  PubMed  Google Scholar 

  54. Dawson SL, Manktelow BN, Robinson TG, Panerai RB, Potter JF (2000) Which parameters of beat-to-beat blood pressure and variability best predict early outcome after acute ischemic stroke? Stroke 31(2):463–8

    Article  CAS  PubMed  Google Scholar 

  55. Bernhardt J, Dewey H, Thrift A, Donnan G (2004) Inactive and alone: physical activity within the first 14 days of acute stroke unit care. Stroke 35(4):1005–9

    Article  PubMed  Google Scholar 

  56. Bonita R, Beaglehole R (1988) Recovery of motor function after stroke. Stroke 19(12):1497–1500

    Article  CAS  PubMed  Google Scholar 

  57. Kwah LK, Diong J (2014) National Institutes of Health Stroke Scale (NIHSS). J Physiother 60(1):61

    Article  PubMed  Google Scholar 

  58. Hicks KA, Tcheng JE, Bozkurt B, Chaitman BR, Cutlip DE, Farb A, Fonarow GC, Jacobs JP, Jaff MR, Lichtman JH, Limacher MC, Mahaffey KW, Mehran R, Nissen SE, Smith EE, Targum SL (2015) ACC/AHA key data elements and definitions for cardiovascular endpoint events in clinical trials: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards). J Am Coll Cardiol 66(4):403–69

    Article  PubMed  Google Scholar 

  59. Reinhard M, Rutsch S, Lambeck J, Wihler C, Czosnyka M, Weiller C, Hetzel A (2012) Dynamic cerebral autoregulation associates with infarct size and outcome after ischemic stroke. Acta Neurol Scand 125(3):156–62

    Article  CAS  PubMed  Google Scholar 

  60. Reinhard M, Roth M, Guschlbauer B, Harloff A, Timmer J, Czosnyka M, Hetzel A (2005) Dynamic cerebral autoregulation in acute ischemic stroke assessed from spontaneous blood pressure fluctuations. Stroke 36(8):1684–9

    Article  CAS  PubMed  Google Scholar 

  61. Zhang B, Huo Y, Yang Z, Lv H, Wang Y, Feng J, Han Y, Wang H (2022) Day to day blood pressure variability associated with cerebral arterial dilation and white matter hyperintensity. Hypertension 79(7):1455–1465

    Article  CAS  PubMed  Google Scholar 

  62. Floras JS (2013) Blood pressure variability: a novel and important risk factor. Can J Cardiol 29(5):557–563

    Article  PubMed  Google Scholar 

  63. Parthasarathy AB, Gannon KP, Baker WB, Favilla CG, Balu R, Kasner SE, Yodh AG, Detre JA, Mullen MT (2018) Dynamic autoregulation of cerebral blood flow measured non-invasively with fast diffuse correlation spectroscopy. J Cereb Blood Flow Metab 38(2):230–240

    Article  PubMed  Google Scholar 

  64. Zweifel C, Dias C, Smielewski P, Czosnyka M (2014) Continuous time-domain monitoring of cerebral autoregulation in neurocritical care. Med Eng Phys 36(5):638–45

    Article  PubMed  Google Scholar 

  65. Ma Y, Blacker D, Viswanathan A, van Veluw SJ, Bos D, Vernooij MW, Hyman BT, Tzourio C, Das S, Hofman A (2021) Visit-to-visit blood pressure variability, neuropathology, and cognitive decline. Neurology 96(23):e2812–e2823

    Article  PubMed  PubMed Central  Google Scholar 

  66. Ma Y, Song A, Viswanathan A, Blacker D, Vernooij MW, Hofman A, Papatheodorou S (2020) Blood pressure variability and cerebral small vessel disease: a systematic review and meta-analysis of population-based cohorts. Stroke 51(1):82–89

    Article  PubMed  Google Scholar 

  67. Johnson AC (2023) Hippocampal vascular supply and its role in vascular cognitive impairment. Stroke 54(3):673–685

    Article  CAS  PubMed  Google Scholar 

  68. Svedung Wettervik T, Howells T, Lewén A, Enblad P (2020) Blood pressure variability and optimal cerebral perfusion pressure-new therapeutic targets in traumatic brain injury. Neurosurgery 86(3):E300-e309

    Article  PubMed  Google Scholar 

  69. Tang C, Zhang XY, Lv JC, Shi SF, Zhou XJ, Liu LJ, Zhang H (2022) Visit-to-visit variability in blood pressure and kidney disease progression in IgA nephropathy. Clin Kidney J 15(12):2331–2339

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Hou C, Wang X, Li Y, Hei F (2022) The relationship between short-term mean arterial pressure variability and mortality in critically ill patients. Front Cardiovasc Med 9:870711

    Article  PubMed  PubMed Central  Google Scholar 

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All authors contributed to the study conception and design. The first draft of the manuscript was written by YJ and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yuxia Ma or Lin Han.

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Chen, Y., Ma, Y., Qin, J. et al. Blood pressure variability predicts poor outcomes in acute stroke patients without thrombolysis: a systematic review and meta-analysis. J Neurol 271, 1160–1169 (2024). https://doi.org/10.1007/s00415-023-12054-w

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