Nandakumar Nagaraja

Dr. Nandakumar Nagaraja


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 March 2020 in Neurology
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Journal Article
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NNNandakumar Nagaraja
Nandakumar Nagaraja
JFJohn R. Forder
John R. Forder
SWSteven Warach
Steven Warach
JMJośe G. Merino
Jośe G. Merino
Objectives To systematically review the literature for reversible diffusion-weighted imaging (DWIR) lesions and to describe its prevalence, predictors, and clinical significance. Methods Studies were included if the first DWI MRI was performed within 24 hours of stroke onset and follow-up DWI or fluid-attenuated inversion recovery (FLAIR)/T2 was performed within 7 or 90 days, respectively, to measure DWIR. We abstracted clinical, imaging, and outcomes data. Results Twenty-three studies met the study criteria. The prevalence of DWIR was 26.5% in DWI-based studies and 6% in FLAIR/T2-based studies. DWIR was associated with recanalization or reperfusion of the ischemic tissue with or without the use of tissue plasminogen activator (t-PA) or endovascular therapy, earlier treatment with t-PA, shorter time to endovascular therapy after MRI, and absent or less severe perfusion deficit within the DWI lesion. DWIR was associated with early neurologic improvement in 5 of 6 studies (defined as improvement in the NIH Stroke Scale (NIHSS) score by 4 or 8 points from baseline or NIHSS score 0 to 2 at 24 hours after treatment or at discharge or median NIHSS score at 7 days) and long-term outcome in 6 of 7 studies (defined as NIHSS score ≤1, improvement in the NIHSS score ≥8 points, or modified Rankin Scale score up to ≤2 at 30 or 90 days) likely due to reperfusion. Conclusions DWIR is seen in up to a quarter of patients with acute ischemic stroke, and it is associated with good clinical outcome following reperfusion. Our findings highlight the pitfalls of DWI to define ischemic core in the early hours of stroke.


1 September 2020 in Journal of Stroke and Cerebrovascular Diseases
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Journal Article
Closed access
NNNandakumar Nagaraja
Nandakumar Nagaraja
EOEsther B. Olasoji
Esther B. Olasoji
UPUrvish K. Patel
Urvish K. Patel

1 May 2018 in Journal of Stroke and Cerebrovascular Diseases
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Journal Article
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NNNandakumar Nagaraja
Nandakumar Nagaraja
NTNudrat Tasneem
Nudrat Tasneem
ASAmir Shaban
Amir Shaban
SDSudeepta Dandapat
Sudeepta Dandapat
UAUzair Ahmed
Uzair Ahmed
HAHarold P. Adams
Harold P. Adams

1 May 2020 in Journal of Stroke and Cerebrovascular Diseases
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Journal Article
Closed access
MBMatthew Broderick
Matthew Broderick
LRLuca Rosignoli
Luca Rosignoli
ALAbhishek Lunagariya
Abhishek Lunagariya
NNNandakumar Nagaraja
Nandakumar Nagaraja

1 January 2022 in Brain Circulation
Verified
Journal Article
Open access
PDF file
AFAmreen Farooqui
Amreen Farooqui
MAMehmet S Albayram
Mehmet S Albayram
VRVaralakshmi Ballur Narayana Reddy
Varalakshmi Ballur Narayana Reddy
NNNandakumar Nagaraja
Nandakumar Nagaraja
OBJECTIVES: Lacunar strokes can have fluctuations and progression in the acute period leading to poor outcomes. Our study sought to evaluate if, in lacunar strokes, neurological deterioration (ND) was associated with blood pressure (BP) variations, stroke size, or increased time to peak (TTP) on admission computed tomography perfusion (CTP). METHODS: Patients with lacunar stroke who had magnetic resonance imaging and CTP performed were enrolled in the study. ND was defined as ≥1-point worsening on a modified National Institutes of Health Stroke Scale (NIHSS) score or the Medical Research Council scale compared to baseline assessment. The difference in BP between the day of admission and the day of ND was calculated. Multivariate logistic regression analysis, adjusted for pertinent clinical and imaging covariates, was performed to determine predictors of ND. RESULTS: Among 409 patients screened, 49 were eligible for the study. There was no difference in age, gender, race, medical history, admission BP, and the modified NIHSS score between patients with and without ND. In unadjusted analysis, patients with ND tended to have increased TTP in the stroke area compared to the control (12 [63%] vs. 11 [37%], P = 0.07). On multivariate analysis adjusted for covariates, presence of an increased TTP on CTP was a predictor of ND (odds ratio [95% confidence interval] = 4.80 [1.15–20.10], P = 0.03). CONCLUSION: The presence of an increased TTP on CTP corresponding to the stroke lesion on diffusion-weighted imaging is a predictor of ND in patients with lacunar stroke. Larger studies are needed to confirm our findings.