- Research
- Open access
- Published:
Late neurological improvement during hospitalization is a predicative factor for acute ischemic stroke
European Journal of Medical Research volume 30, Article number: 324 (2025)
Abstract
Purpose
This study aimed to investigate whether late neurological improvement (LNI) during hospitalization serves as a favorable prognostic indicator in patients with acute ischemic stroke (AIS) and to identify the predictors of LNI.
Methods
We retrospectively analyzed data from the Safe Implementation of Treatments in Stroke (SITS) registry at two stroke centers in Egypt. LNI was defined as the lack of early neurological improvement (ENI) within 24 h after admission, accompanied by neurological improvement within 7 days of hospitalization. Multivariate logistic regression was employed to analyze the factors influencing favorable prognosis (modified Rankin Scale score 0–2) and LNI.
Results
A total of 834 patients with AIS were included in this study, of which 130 (15.6%) exhibited LNI. Among these, 99 (76.2%) achieved favorable outcomes. Both ENI (OR = 6.756, 95% CI 3.355–13.603, P < 0.001) and LNI (OR = 5.760, 95% CI 3.146–10.545, P < 0.001) were independently associated with favorable prognosis after adjustment. Predictors of LNI in multivariable-adjusted logistic regression included younger age (OR = 0.973, 95% CI 0.957–0.990, P = 0.001), higher baseline National Institutes of Health Scale (NIHSS) score (OR = 1.196, 95% CI 1.146–1.248, P < 0.001), and rt-PA treatment (OR = 1.953, 95% CI 1.206–3.163, P = 0.006).
Conclusions
Approximately three-quarters of patients with LNI are expected to achieve good outcome. LNI was a favorable prognostic indicator in patients with AIS and younger age, higher baseline NIHSS score and rt-PA treatment predicted LNI.
Introduction
Early neurological improvement (ENI), initially established as an efficacy biomarker for intravenous thrombolysis in acute ischemic stroke (AIS) [1, 2], has been increasingly adopted to evaluate therapeutic outcomes following endovascular thrombectomy [3,4,5]. ENI typically indicates the presence of good collateral circulation, smaller core infarct volume, shorter reperfusion time, and successful reperfusion [6, 7]. Therefore, ENI has been shown to be strongly associated with 90-day functional independence across diverse treatments, spanning intravenous thrombolysis [8, 9], thrombectomy [3, 10, 11] and conservative medical treatment [12, 13]. However, a considerable proportion of patients do not experience ENI but exhibit relatively late neurological improvement (LNI) during hospitalization, and such patients do not necessarily indicate poor prognosis. Research indicates that any neurological improvement during hospitalization predicts favorable 90-day prognosis compared to non-responders, regardless of the treatment (thrombectomy or conservative treatment) [13, 14]. However, most studies have predominantly focused on elucidating the association between ENI and long-term outcomes in AIS, while investigating hospitalization-associated LNI remains comparatively neglected. Furthermore, the prognostic implications of LNI specifically in thrombolysis-treated populations have not been comprehensively characterized. Additionally, early AIS is characterized by instability and may be complicated by conditions such as brain edema, hemorrhagic transformation, and pulmonary infections [15, 16]. Therefore, the aim of this study is to investigate the long-term relationship between relative LNI during hospitalization and prognosis in AIS patients, as well as to identify the predictive factors for LNI.
Methods
Study population
This retrospective study utilized data from the Safe Implementation of Treatments in Stroke (SITS) International Registry, a prospective, open-label, multinational registry monitoring acute stroke management across 48 countries [17]. We extracted consecutive patients treated at two comprehensive stroke centers within Ain Shams University Hospitals (Cairo, Egypt) and there were no patients undergoing endovascular thrombectomy in this data [18]. The inclusion criteria were as follows: (1) patients diagnosed with acute ischemic stroke; (2) patients who presented within 24 h of symptom onset; (3) data that included National Institutes of Health Scale (NIHSS) scores on the day of admission, at 24 h post-admission, at 7 days post-admission, and the 90-day mRS score. Acute ischemic stroke (AIS) is defined as: an episode of neurological dysfunction caused by focal cerebral, spinal, or retinal infarction [19]. The exclusion criteria were as follows: (1) patients with transient ischemic attacks (TIA); (2) patients with hemorrhagic stroke, brain tumors, or other non-ischemic strokes; (3) patients without complete clinical data at 24 h or day 7 of hospitalization; (4) patients whose symptom onset exceeded 24 h. The dataset initially contained 1450 patients, of whom 344 were lost to follow-up, 206 had symptom onset after 24 h, 60 had incomplete NIHSS data, and 6 were diagnosed with TIA. Ultimately, 834 patients were included in the final analysis (Fig. 1).
Date collection
Data collected included baseline and demographic characteristics, acute treatment variables, baseline stroke severity within 24 h after stroke onset using the admission NIHSS score (NIHSS baseline), and follow-up NIHSS scores (NIHSS 24 h, NIHSS 7d) collected at 24 h and 7 days from the baseline examination. Stroke subtypes were classified according to the TOAST (Trial of ORG 10172 in Acute Stroke Treatment) criteria [20].
Definition of ENI and LNL
ENI was defined as the ≥ 4-point NIHSS reduction or complete neurological recovery (NIHSS = 0) within 24 h post-admission [21]. LNI was defined as the ≥ 4-point NIHSS reduction or complete recovery within 7 days after admission but without ENI. A good outcome was defined as an mRS score ≤ 2 at 3 months.
Statistical methods
SPSS Statistical Package 25.0 software was used for statistical analysis. Normally distributed variables were presented as the mean ± SD and were compared using Student’s t-tests. Non-normally distributed variables were presented as the interquartile range (IQR) and were compared using the Mann–Whitney U test. Pearson’s chi-square test was used to compare differences in categorical variables. Backward stepwise logistic regression was employed to identify independent predictors of favorable prognosis and LNI. P-value of < 0.05 was considered statistically significant.
Results
Patients baseline characteristics
A total of 834 patients with AIS were included in this study. The study flowchart is shown in Fig. 1. The median age was 62 years, 64.5% were male, and the median NIHSS score at admission was 7 points. ENI occurred in 107 (12.8%) patients, and LNI in 130 (15.6%). In the thrombolysis group (n=191), ENI and LNI occurred in 58 (30.4%) and 37 (19.4%) patients, respectively. In the conservative treatment group (n=643), ENI and LNI occurred in 49 (7.6%) and 93 (14.5%) patients, respectively. Among the patients experiencing ENI, 94 (87.9%) achieved a favorable prognosis, while the remaining 13 (12.1%) did not. In the LNI group, 99 (76.2%) patients achieved a favorable prognosis, while 31 (23.8%) did not (Fig. 2). The baseline variables between the ENI and non-ENI groups are shown in Table 1. A higher proportion of patients in the ENI group received thrombolysis treatment (54.2% vs. 18.3%, P < 0.001), had a shorter onset-to-door time (ODT) (180 [120–360] min vs. 420 [300–720] min, P < 0.001), and had fewer small vessel disease subtypes (28.0% vs. 39.5%, P = 0.023). Table 1 also presents the baseline characteristics of the LNI and non-LNI groups. Compared to the non-LNI group, the LNI group had a higher proportion of patients receiving rt-PA treatment (28.5% vs. 16.1%, P = 0.001), a greater proportion of large vessel disease subtypes (43.8% vs. 34.7%, P = 0.049), higher NIHSS scores at admission (10 [6–14] vs. 6 [4–10], P < 0.001), and fewer small vessel disease subtypes (25.4% vs. 42.5%, P < 0.001).
Relationship between LNI and good prognosis in AIS patients
As shown in Table 2, multivariate regression analysis indicated that both ENI (OR = 6.756, 95% CI 3.355–13.603, P < 0.001) and LNI (OR = 5.760, 95% CI 3.146–10.545, P < 0.001) were significantly associated with favorable prognosis in both the thrombolysis group and the medical conservative treatment group. In the thrombolysis group, patients with ENI had 9.3-fold higher odds of favorable outcomes compared to those without ENI (OR = 9.299, 95% CI 3.080–27.661, P < 0.001), while patients with LNI had 3.5-fold higher odds compared to those without LNI (OR = 3.482, 95% CI 1.110–10.927, P = 0.032). In the medical conservative treatment group, ENI and LNI were associated with 4.5-fold (OR = 4.490, 95% CI 1.613–12.496, P = 0.004) and 7.1-fold (OR = 7.138, 95% CI 3.437–14.826, P < 0.001) higher odds of favorable outcomes, respectively.
Predictors of LNI
In multivariate analysis, patients with LNI were significantly younger (OR = 0.973, 95% CI 0.957–0.990, P = 0.001), had higher baseline NIHSS score (OR = 1.196, 95% CI 1.146–1.248, P < 0.001), and were more likely to have received thrombolysis treatment (OR = 1.953, 95% CI 1.206–3.163, P = 0.006) (Table 3).
Discussion
The main finding of this study is that LNI during hospitalization serves as a critical prognostic factor for long-term favorable outcomes in AIS patients undergoing thrombolysis and conservative drug therapy, paralleling the predictive value of ENI. This observation holds substantial clinical relevance, as patients exhibiting LNI demonstrate comparable prognostic trajectories to those with ENI. Consequently, aggressive therapeutic strategies may be considered irrespective of the initial clinical progression patterns. Moreover, the identification of baseline predictors associated with LNI offers clinicians actionable insights to refine prognostic evaluations for patients lacking ENI. Such stratification may foster proactive clinical decision-making, thereby enhancing patient engagement in rehabilitation protocols and optimizing long-term functional recovery and quality of life.
In our study cohort, the prevalence of ENI in patients receiving thrombolysis and conservative drug therapy was 30.4% and 7.6%, respectively, which is consistent with the previous studies [13, 21]. The prevalence of LNI was 19.4% in thrombolysis patients and 14.5% in conservative drug therapy patients, while the latter is lower than the previously reported prevalence of 33.41% [13], a discrepancy potentially explained by prolonged onset-to-door time (ODT) observed in our conservative therapy group (10.6 ± 6.2 h vs. 4.25 ± 3.15 h). It is widely acknowledged that the shorter the ODT, the greater the likelihood of neurological improvement, regardless of the treatment received [22].
The relationship between ENI and long-term favorable prognosis in AIS has been widely recognized, which aligns with our findings, regardless of whether patients received thrombolysis or conservative drug therapy. The possible mechanisms include successful reperfusion, good collateral circulation, smaller core infarct volume, and shorter reperfusion time to successful reperfusion [6, 7]. However, a considerable portion of patients do not show ENI but instead exhibit LNI during hospitalization. This does not necessarily imply a poor prognosis. A retrospective study found that patients who did not show significant neurological improvement after thrombectomy but achieved clinical neurological improvement within 7 days post-thrombectomy were associated with long-term favorable prognosis [14]. Another study on conservative drug therapy patients demonstrated that those who experienced neurological improvement at different times during hospitalization had a higher rate of favorable prognosis than those who showed no neurological improvement during hospitalization [13]. Our study is the first to report that LNI during hospitalization in intravenous thrombolysis patients without ENI is associated with long-term favorable prognosis. This suggests that intravenous thrombolysis plays an important role in neurological improvement both in the early and late stages post-treatment and further supports the necessity of intravenous thrombolysis. Subgroup analysis in our study showed that, in the thrombolysis group, the probability of ENI occurrence was higher than that of LNI (30.4% vs. 19.4%). Compared to patients without ENI, those with ENI had a ninefold higher likelihood of favorable prognosis; compared to patients without LNI, those with LNI had a threefold higher likelihood of favorable prognosis. This may indicates that the earlier the neurological improvement after thrombolysis, the greater the association with a favorable prognosis, which aligns with previous findings from a thrombectomy study, where earlier clinical improvement was closely related to a higher chance of long-term favorable outcomes [14]. However, this does not appear to be the case in the conservative drug therapy group. The probability of ENI occurrence was lower than that of LNI (7.6% vs. 14.5%). Compared to patients without ENI, those with ENI had a fourfold higher likelihood of favorable prognosis; compared to patients without LNI, those with LNI had a sevenfold higher likelihood of favorable prognosis. These differences may be largely attributed to the treatment method and potential pathophysiological mechanisms. Thrombectomy and intravenous thrombolysis are typically associated with faster and more significant neurological improvement, as well as higher rates of vascular recanalization, compared to conservative drug therapy [23, 24]. As a result, the probability of ENI occurring in the thrombolysis group is greater than that in the conservative therapy group. Higher and earlier vascular recanalization can salvage more ischemic penumbra, making earlier clinical improvement in thrombolysis patients more closely associated with better long-term outcomes. In contrast, the rate and speed of spontaneous vascular recanalization in conservative drug therapy patients are lower than those in the thrombolysis group, which may explain the higher prevalence of LNI. Currently, the mechanisms underlying the association between LNI and favorable prognosis are still not fully understood. While delayed vascular recanalization, microcirculation improvement in ischemic tissue, recovery of cerebral autoregulation, and neuronal remodeling are plausible hypotheses based on prior studies [25, 26]. Our study lacks direct imaging evidence (e.g., perfusion imaging or angiographic reperfusion) to confirm these pathways. Future studies incorporating multimodal neuroimaging could elucidate whether LNI reflects delayed reperfusion, neuroplasticity, or other compensatory processes. Finally, our study found that younger age, higher baseline NIHSS score, and thrombolysis treatment are predictive factors of LNI. A higher baseline NIHSS score indicates a more severe stroke, which may lead to a more significant response after acute treatment (such as intravenous thrombolysis or thrombectomy). This may allow more room for neurological improvement with successful acute interventions. Therefore, patients with higher baseline NIHSS scores at admission have a greater chance of experiencing LNI, but this is specific to the characteristics of our study population. The baseline NIHSS of our study population was lower than that in other studies (7 points vs. 16 points) [16], and if the NIHSS score were higher, the chance of a favorable prognosis could be diminished due to the already high baseline NIHSS [11]. Therefore, the relationship between baseline NIHSS and LNI warrants further investigation. We hypothesize that patients demonstrating LNI during hospitalization may still achieve superior long-term functional outcomes compared to non-LNI counterparts, despite presenting with higher NIHSS scores at admission. The fact that thrombolysis is a predictor of LNI is also not difficult to understand. Compared to patients who did not receive thrombolysis, those who received thrombolysis have a higher rate of vascular recanalization and more rapid and significant neurological improvement. Additionally, it is well established that older age is associated with poorer neurological recovery [27].
This study had several limitations. Firstly, this is a retrospective study. Second, the dataset lacks certain clinical information, such as complications during hospitalization (e.g., infections, hemorrhages), imaging data, blood pressure, and blood glucose levels, which could potentially influence the results and may play a role in the mechanistic explanation. Third, since our dataset includes intravenous thrombolysis patients, we excluded those who presented more than 24 h after symptom onset. This approach helps standardize the definitions of ENI and LNI. However, after including patients with onset times exceeding 24 h in our study, we still found that LNI was associated with a favorable 3-month prognosis (OR = 6.414, 95% CI 3.504–11.740, P < 0.001). Finally, since we did not include patients who underwent endovascular thrombectomy and the average baseline NIHSS score of the patients in our study was relatively low, the predictive factors for LNI may not be fully applicable to patients in the thrombectomy group or those with a high baseline NIHSS score at admission.
Conclusions
In conclusion, LNI in acute ischemic stroke patients is significantly associated with a favorable 3-month prognosis. It is important not to focus solely on ENI while overlooking LNI, in order to avoid misjudging the prognostic assessment of stroke patients.
Availability of data and materials
Shokri et al. [18]. Data from: Factors related to time of stroke onset versus time of hospital arrival: A SITS registry-based study in an Egyptian Stroke Center [Dataset]. Dryad. https://doiorg.publicaciones.saludcastillayleon.es/https://doiorg.publicaciones.saludcastillayleon.es/10.5061/dryad.rr4xgxd69.
Abbreviations
- AIS:
-
Acute ischemic stroke
- ENI:
-
Early neurological improvement
- LNI:
-
Late neurological improvement
- NIHSS:
-
National Institutes of Health Scale Score
- ODT:
-
Onset to door time
- SITS:
-
Safe implementation of treatments in stroke
- TOAST:
-
Trial of ORG 10172 in acute stroke treatment criteria
References
Dharmasaroja PA, Muengtaweepongsa S, Dharmasaroja P. Early outcome after intravenous thrombolysis in patients with acute ischemic stroke. Neurol India. 2011;59(3):351–4.
Ichijo M, Iwasawa E, Numasawa Y, Miki K, Ishibashi S, Tomita M, et al. Significance of development and reversion of collaterals on MRI in early neurologic improvement and long-term functional outcome after intravenous thrombolysis for ischemic stroke. AJNR Am J Neuroradiol. 2015;36(10):1839–45.
Kobeissi H, Ghozy S, Bilgin C, Kadirvel R, Kallmes DF. Early neurological improvement as a predictor of outcomes after endovascular thrombectomy for stroke: a systematic review and meta-analysis. J Neurointerv Surg. 2023;15(6):547–51.
Wallocha M, Chapot R, Nordmeyer H, Fiehler J, Weber R, Stracke CP. Treatment methods and early neurologic improvement after endovascular treatment of tandem occlusions in acute ischemic stroke. Front Neurol. 2019;10:127.
Wirtz MM, Hendrix P, Goren O, Beckett LA, Dicristina HR, Schirmer CM, et al. Predictor of 90-day functional outcome after mechanical thrombectomy for large vessel occlusion stroke: NIHSS score of 10 or less at 24 hours. J Neurosurg. 2021;134(1):115–21.
Jeong HS, Kwon HJ, Kang CW, Song HJ, Koh HS, Park SM, et al. Predictive factors for early clinical improvement after intra-arterial thrombolytic therapy in acute ischemic stroke. J Stroke Cerebrovasc Dis. 2014;23(4):e283–9.
Cao Y, Wang S, Sun W, Dai Q, Li W, Cai J, et al. Prediction of favorable outcome by percent improvement in patients with acute ischemic stroke treated with endovascular stent thrombectomy. J Clin Neurosci. 2017;38:100–5.
Saver JL, Altman H. Relationship between neurologic deficit severity and final functional outcome shifts and strengthens during first hours after onset. Stroke. 2012;43(6):1537–41.
Agarwal S, Scher E, Lord A, Frontera J, Ishida K, Torres J, et al. Redefined measure of early neurological improvement shows treatment benefit of alteplase over placebo. Stroke. 2020;51(4):1226–30.
Ha SH, Ryu JC, Bae JH, Koo S, Kwon B, Lee DH, et al. Early response to endovascular thrombectomy after stroke: early, late, and very late time windows. Cerebrovasc Dis. 2023;52(1):28–35.
Soize S, Fabre G, Gawlitza M, Serre I, Bakchine S, Manceau P, et al. Can early neurological improvement after mechanical thrombectomy be used as a surrogate for final stroke outcome? J Neurointerv Surg. 2019;11(5):450–4.
Du J, Wang Y, Che B, Miao M, Bao A, Peng Y, et al. The relationship between neurological function trajectory, assessed by repeated NIHSS measurement, and long-term cardiovascular events, recurrent stroke, and mortality after ischemic stroke. Int J Stroke. 2023;18(8):1005–14.
Song Y, Lee GH, Kim JI. Timing of neurological improvement after acute ischemic stroke and functional outcome. Eur Neurol. 2015;73(3–4):164–70.
Rudilosso S, Urra X, Amaro S, Llull L, Renú A, Laredo C, et al. Timing and relevance of clinical improvement after mechanical thrombectomy in patients with acute ischemic stroke. Stroke. 2019;50(6):1467–72.
Pu J, Wang H, Tu M, Zi W, Hao Y, Yang D, et al. Combination of 24-hour and 7-day relative neurological improvement strongly predicts 90-day functional outcome of endovascular stroke therapy. J Stroke Cerebrovasc Dis. 2018;27(5):1217–25.
Cai H, Han Y, Sun W, Zha M, Shi X, Huang K, et al. Delayed neurological improvement is predictive to long-term clinical outcome on endovascular thrombectomy patients. Interv Neuroradiol. 2022;28(4):404–10.
Matusevicius M, Cooray C, Rand VM, Nunes AP, Moreira T, Tassi R, et al. Stroke etiology and outcomes after endovascular thrombectomy: results from the SITS registry and a meta-analysis. J Stroke. 2021;23(3):388–400.
Shokri HM, El Nahas NM, Aref HM, Dawood NL, Abushady EM, Abd Eldayem EH, et al. Factors related to time of stroke onset versus time of hospital arrival: a SITS registry-based study in an Egyptian stroke center. PLoS ONE. 2020;15(9):e238305.
Sacco RL, Kasner SE, Broderick JP, Caplan LR, Connors JJ, Culebras A, et al. An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2013;44(7):2064–89.
Adams HJ, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in acute stroke treatment. Stroke. 1993;24(1):35–41.
Gong P, Liu Y, Gong Y, Chen G, Zhang X, Wang S, et al. The association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio with post-thrombolysis early neurological outcomes in patients with acute ischemic stroke. J Neuroinflammation. 2021;18(1):51.
Lee EJ, Kim SJ, Bae J, Lee EJ, Kwon OD, Jeong HY, et al. Impact of onset-to-door time on outcomes and factors associated with late hospital arrival in patients with acute ischemic stroke. PLoS ONE. 2021;16(3):e247829.
Heit JJ, Mlynash M, Kemp SM, Lansberg MG, Christensen S, Marks MP, et al. Rapid neurologic improvement predicts favorable outcome 90 days after thrombectomy in the DEFUSE 3 study. Stroke. 2019;50(5):1172–7.
Bruno A, Saha C, Williams LS. Percent change on the National Institutes of Health stroke scale: a useful acute stroke outcome measure. J Stroke Cerebrovasc Dis. 2009;18(1):56–9.
Alexandrov AV, Hall CE, Labiche LA, Wojner AW, Grotta JC. Ischemic stunning of the brain. Stroke. 2004;35(2):449–52.
Aries MJ, Elting JW, De Keyser J, Kremer BP, Vroomen PC. Cerebral autoregulation in stroke: a review of transcranial Doppler studies. Stroke. 2010;41(11):2697–704.
Mishra NK, Diener HC, Lyden PD, Bluhmki E, Lees KR. Influence of age on outcome from thrombolysis in acute stroke: a controlled comparison in patients from the Virtual International Stroke Trials Archive (VISTA). Stroke. 2010;41(12):2840–8.
Acknowledgements
None
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author information
Authors and Affiliations
Contributions
HZ and QX contributed equally in this study. HZ and QX: conceived the idea, data curation, formal analysis, investigation, methodology, visualization, drafted the original manuscript, review and editing. PC: formal analysis. XG: final manuscript review, formal analysis and supervision. GW: final manuscript review, process guidance and supervision. All authors have made substantial contributions to this study and approved the final version of manuscript.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate
Ethics approval is not required since this study used public available secondary dataset that contains de-identifiable information.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Zhao, H., Xu, Q., Chen, P. et al. Late neurological improvement during hospitalization is a predicative factor for acute ischemic stroke. Eur J Med Res 30, 324 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40001-025-02469-8
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40001-025-02469-8