Andrew M Naidech
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Explore the profile of Andrew M Naidech including associated specialties, affiliations and a list of published articles.
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139
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3335
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Recent Articles
11.
Naidech A, Shkirkova K, Villablanca J, Sanossian N, Liebeskind D, Sharma L, et al.
Stroke
. 2022 Apr;
53(5):1516-1519.
PMID: 35380053
Background: Intracerebral hemorrhage (ICH) is the deadliest form of stroke. In observational studies, lower serum magnesium has been linked to more hematoma expansion (HE) and intracranial hemorrhage, implying that supplemental...
12.
Bermeo-Ovalle A, Naidech A
Crit Care Med
. 2022 Mar;
50(7):1161-1163.
PMID: 35302956
No abstract available.
13.
Bunney G, Murphy J, Colton K, Wang H, Shin H, Faigle R, et al.
Neurocrit Care
. 2022 Mar;
37(Suppl 2):322-327.
PMID: 35288860
Background: Seizures are a harmful complication of acute intracerebral hemorrhage (ICH). "Early" seizures in the first week after ICH are a risk factor for deterioration, later seizures, and herniation. Ideally,...
14.
Tarabichi Y, Frees A, Honeywell S, Huang C, Naidech A, Moore J, et al.
ACI open
. 2022 Jan;
5(1):e36-e46.
PMID: 35071993
Objective: Learning healthcare systems use routinely collected data to generate new evidence that informs future practice. While implementing an electronic health record (EHR) system can facilitate this goal for individual...
15.
Carroll C, Arnold L, Eberlein B, Westenberger C, Colfer K, Naidech A, et al.
Jt Comm J Qual Patient Saf
. 2021 Nov;
48(1):33-39.
PMID: 34810132
Background: Fall prevention is a patient safety and economic priority for health care organizations. An automated model within the electronic medical record (EMR) that accurately predicts risk for falling would...
16.
Tang M, Shin H, Metcalf-Doetsch W, Luo Y, Lindholm P, Kwaan H, et al.
Neurocrit Care
. 2021 Oct;
36(3):791-796.
PMID: 34708342
Background: To test the hypothesis that appearances of intracranial hematomas on diagnostic computed tomography (CT) are not idiosyncratic and reflect a biologically plausible mechanism, we evaluated the association between hematoma...
17.
Murphy J, Shin H, Wang H, Luo Y, Jahromi B, Bleck T, et al.
Crit Care Explor
. 2021 Sep;
3(9):e0533.
PMID: 34549191
Design: Patients with subarachnoid hemorrhage were prospectively identified. Clinical data were prospectively recorded. Health-related quality of life was prospectively assessed at 3-month follow-up using the National Institutes of Health Patient...
18.
Naidech A, Grotta J, Elm J, Janis S, Dowlatshahi D, Toyoda K, et al.
Int J Stroke
. 2021 Aug;
17(7):806-809.
PMID: 34427473
Introduction: Intracerebral hemorrhage is the deadliest form of stroke. Hematoma expansion, growth of the hematoma between the baseline computed tomography scan and a follow-up computed tomography scan at 24 ± ...
19.
Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
Lineback C, Garg R, Oh E, Naidech A, Holl J, Prabhakaran S
Front Neurol
. 2021 Jul;
12:649521.
PMID: 34326805
This study aims to determine whether machine learning (ML) and natural language processing (NLP) from electronic health records (EHR) improve the prediction of 30-day readmission after stroke. Among index stroke...
20.
Siddiqi S, Schaper F, Horn A, Hsu J, Padmanabhan J, Brodtmann A, et al.
Nat Hum Behav
. 2021 Jul;
5(12):1707-1716.
PMID: 34239076
Damage to specific brain circuits can cause specific neuropsychiatric symptoms. Therapeutic stimulation to these same circuits may modulate these symptoms. To determine whether these circuits converge, we studied depression severity...