Predictors for hemorrhagic transformation and cerebral edema in stroke patients with first-pass complete recanalization

Author:

Cappellari Manuel1ORCID,Pracucci Giovanni2,Saia Valentina3,Sallustio Fabrizio4,Casetta Ilaria5ORCID,Fainardi Enrico6,Capasso Francesco6ORCID,Nencini Patrizia6,Vallone Stefano7,Bigliardi Guido7ORCID,Saletti Andrea5,De Vito Alessandro5,Ruggiero Maria8,Longoni Marco8,Semeraro Vittorio9,Boero Giovanni9,Silvagni Umberto10,Stancati Furio10,Lafe Elvis11,Mazzacane Federico12,Bracco Sandra13,Tassi Rossana13,Comelli Simone14,Melis Maurizio14,Romano Daniele15,Napoletano Rosa15,Menozzi Roberto16,Scoditti Umberto16,Chiumarulo Luigi17,Petruzzellis Marco17,Vinci Sergio Lucio18,Ferraù Ludovica18,Taglialatela Francesco19,Zini Andrea19ORCID,Sanna Antioco3,Tassinari Tiziana3,Iacobucci Marta20ORCID,Nicolini Ettore20ORCID,Bergui Mauro21,Cerrato Paolo21,Giorgianni Andrea22,Princiotta Cariddi Lucia22,Amistà Pietro23,Russo Monia23,Gallesio Ivan24,Sepe Federica24,Comai Alessio25,Franchini Enrica25,Filauri Pietro26,Orlandi Berardino26,Besana Michele27,Giossi Alessia27,Lazzarotti Guido Andrea28,Orlandi Giovanni28,Castellano Davide29,Naldi Andrea29,Plebani Mauro30,Zivelonghi Cecilia30,Invernizzi Paolo31,Mangiafico Salvatore20323334,Toni Danilo20

Affiliation:

1. Stroke Unit, DAI di Neuroscienze, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy

2. University of Florence, Florence, Italy

3. S. Corona Hospital, Pietra Ligure, Italy

4. Ospedale dei Castelli-ASL6, Roma, Italy

5. University Hospital Arcispedale S. Anna, Ferrara, Italy

6. Ospedale Universitario Careggi, Firenze, Italy

7. Azienda Ospedaliero-Universitaria di Modena, Modena, Italy

8. AUSL Romagna Ospedale Bufalini, Cesena, Italy

9. SS. Annunziata Hospital, Taranto, Italy

10. Azienda Ospedaliera di Cosenza, Cosenza, Italy

11. Policlinico IRCCS San Matteo, Pavia, Italy

12. IRCCS Fondazione Mondino, Pavia, Italy

13. Ospedale S. Maria delle Scotte-University Hospital, Siena, Italy

14. ARNAS G. Brotzu, Cagliari, Italy

15. AOU San Giovanni di Dio e Ruggi di Aragona, Salerno, Italy

16. Ospedale Universitario, Parma, Italy

17. AOU Consorziale Policlinico, Bari, Italy

18. University of Messina, Messina, Italy

19. IRCCS Istituto di Scienze Neurologiche di Bologna, Bologna, Italy

20. Sapienza University of Rome, Rome, Italy

21. Città della Salute e della Scienza-Molinette, Torino, Italy

22. ASST Sette Laghi Varese—Ospedale di Circolo e Fondazione Macchi, Varese, Italy

23. Ospedale S. Maria Misericordia, Rovigo, Italy

24. AO SS Antonio e Biagio e C. Arrigo, Alessandria, Italy

25. Ospedale Provinciale di Bolzano, Bolzano, Italy

26. PO Avezzano (AQ), Italy

27. Ospedale di Cremona, ASST Cremona, Cremona, Italy

28. Azienda Ospedaliero Universitaria Pisana, Pisa, Italy

29. Ospedale San Giovanni Bosco, Torino, Italy

30. Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy

31. Istituto Ospedaliero Fondazione Poliambulanza, Brescia, Italy

32. IRCCS Neuromed, Pozzilli, Italy

33. Tor Vergata University, Rome, Italy

34. S. Andrea Hospital, Rome, Italy

Abstract

Background: Predictors of radiological complications attributable to reperfusion injury remain unknown when baseline setting is optimal for endovascular treatment and procedural setting is the best in stroke patients with large vessel occlusion (LVO). Aims: To identify clinical and radiological/procedural predictors for hemorrhagic transformation (HT) and cerebral edema (CED) at 24 hr in patients obtaining complete recanalization in one pass of thrombectomy for ischemic stroke ⩽ 6 h from symptom onset with intra-cranial anterior circulation LVO and ASPECTS ⩾ 6. Methods: We conducted a cohort study on prospectively collected data from 1400 patients enrolled in the Italian Registry of Endovascular Treatment in Acute Stroke. Results: HT was reported in 248 (18%) patients and early CED was reported in 260 (19.2%) patients. In the logistic regression model including predictors from a first model with clinical variables and from a second model with radiological/procedural variables, diabetes mellitus (odds ratio (OR) = 1.832, 95% confidence interval (CI) = 1.201–2.795), higher National Institutes of Health Stroke Scale (NIHSS) (OR = 1.076, 95% CI = 1.044–1.110), lower Alberta Stroke Program Early CT (ASPECTS) (OR = 0.815, 95% CI = 0.694–0.957), and longer onset-to-groin time (OR = 1.005, 95% CI = 1.002–1.007) were predictors of HT, whereas general anesthesia was inversely associated with HT (OR = 0.540, 95% CI = 0.355–0.820). Higher NIHSS (OR = 1.049, 95% CI = 1.021–1.077), lower ASPECTS (OR = 0.700, 95% CI = 0.613–0.801), intravenous thrombolysis (OR = 1.464, 95% CI = 1.061–2.020), longer onset-to-groin time (OR = 1.002, 95% CI = 1.001–1.005), and longer procedure time (OR = 1.009, 95% CI = 1.004–1.015) were predictors of early CED. After repeating a fourth logistic regression model including also good collaterals, the same variables remained predictors for HT and/or early CED, except diabetes mellitus and thrombolysis, while good collaterals were inversely associated with early CED (OR = 0.385, 95% CI = 0.248–0.599). Conclusions: Higher NIHSS, lower ASPECTS, and longer onset-to-groin time were predictors for both HT and early CED. General anesthesia and good collaterals were inversely associated with HT and early CED, respectively. Longer procedure time was predictor of early CED.

Publisher

SAGE Publications

Subject

Neurology,Neurology (clinical)

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