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Predictors of Ventricular Dysrhythmias in Neurology Intensive Care Unit Patients with Prolonged QTc

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Abstract

Introduction

Acute neurological injury and several medications commonly administered in the Neuro ICU pose a risk of fatal cardiac dysrhythmias. The objective of this study is to identify the predictors of ventricular dysrhythmias in the Neuro ICU patients with prolonged QTc, thereby helping the clinicians make important treatment decisions.

Methods

We performed a retrospective review of all consecutive adults admitted to the Neuro ICU from January 2015 to September 2015 with a QTc interval ≥ 450 ms on electrocardiogram.

Results

A total of 170 patients with a mean age of 66 years (SD ± 16) were included in the final analysis. Eighty-seven patients (51%) were women. Median duration of hospitalization was 9 days (IQR 4–16). Most common primary diagnosis was ischemic stroke (38%) followed by cerebral hemorrhage (19%) and subarachnoid hemorrhage (8%). Mean QTc was 487 ms (SD ± 35, range 450–659 ms). There were 27 episodes (16%) of monomorphic non-sustained ventricular tachycardia and one episode of Torsades (1%). Three cardiac arrests (2%) were recorded, none resulting from ventricular dysrhythmias. In multivariate analysis, prolonged QTc ≥ 492 ms (p = 0.0008), supratentorial acute ischemic stroke (p = 0.005), prolonged hospitalization (p = 0.03), and premature ventricular complexes on ECG (p = 0.047) were all independently associated with increased risk of ventricular dysrhythmias.

Conclusions

In this group of patients with prolonged QTc in the Neuro ICU, we observed several episodes of non-sustained ventricular tachycardia and identified important risk factors associated with their occurrence. This knowledge is essential to inform clinical decisions.

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Funding

Funding was received from the Dubie Hulliman Heart and Cancer Fund through the Wake Forest School of Medicine Medical Student Research Program.

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Authors and Affiliations

  1. Wake Forest School of Medicine, Winston-Salem, NC, USA

    Megan E. Garzon

  2. Department of Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, USA

    Kelly M. Fuhrmann

  3. Department of Biostatistics, Wake Forest School of Medicine, Winston-Salem, NC, USA

    Christopher J. McLouth

  4. Department of Anesthesiology, Section of Critical Care, Wake Forest School of Medicine, Winston-Salem, NC, USA

    Vidula T. Vachharajani

  5. Department of Neurology, Section of Neurocritical Care, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA

    Sudhir V. Datar

Authors
  1. Megan E. Garzon
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  2. Kelly M. Fuhrmann
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  3. Christopher J. McLouth
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  4. Vidula T. Vachharajani
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  5. Sudhir V. Datar
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Contributions

Megan Garzon contributed towards study concept and design, data collection and writing the first draft of the manuscript. Kelly Fuhrmann contributed towards data collection from pharmacy standpoint. Christopher McLouth contibuted towards data analysis. Dr. Vachharajani contributed towards interpretation of data and revising the manuscript for content. Dr. Datar contributed towards study concept and design, data collection, analysis, data interpretation and revising the manuscript for content.

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Correspondence to Sudhir V. Datar.

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Garzon, M.E., Fuhrmann, K.M., McLouth, C.J. et al. Predictors of Ventricular Dysrhythmias in Neurology Intensive Care Unit Patients with Prolonged QTc. Neurocrit Care 33, 769–775 (2020). https://doi.org/10.1007/s12028-020-00954-y

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  • DOI: https://doi.org/10.1007/s12028-020-00954-y

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