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Real-World Continuous EEG Utilization and Outcomes in Hospitalized Patients With Acute Cerebrovascular Diseases.
Amerineni, Rajesh; Sun, Haoqi; Fernandes, Marta Bento; Westover, M Brandon; Moura, Lidia; Patorno, Elisabetta; Hsu, John; Zafar, Sahar F.
Afiliação
  • Amerineni R; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A.
  • Sun H; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, U.S.A.
  • Fernandes MB; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A.
  • Westover MB; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, U.S.A.
  • Moura L; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A.
  • Patorno E; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, U.S.A.
  • Hsu J; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, U.S.A.; and.
  • Zafar SF; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, U.S.A.
J Clin Neurophysiol ; 2023 Oct 30.
Article em En | MEDLINE | ID: mdl-37938032
ABSTRACT

PURPOSE:

Continuous electroencephalography (cEEG) is recommended for hospitalized patients with cerebrovascular diseases and suspected seizures or unexplained neurologic decline. We sought to (1) identify areas of practice variation in cEEG utilization, (2) determine predictors of cEEG utilization, (3) evaluate whether cEEG utilization is associated with outcomes in patients with cerebrovascular diseases.

METHODS:

This cohort study of the Premier Healthcare Database (2014-2020), included hospitalized patients age >18 years with cerebrovascular diseases (identified by ICD codes). Continuous electroencephalography was identified by International Classification of Diseases (ICD)/Current Procedural Terminology (CPT) codes. Multivariable lasso logistic regression was used to identify predictors of cEEG utilization and in-hospital mortality. Propensity score-matched analysis was performed to determine the relation between cEEG use and mortality.

RESULTS:

1,179,471 admissions were included; 16,777 (1.4%) underwent cEEG. Total number of cEEGs increased by 364% over 5 years (average 32%/year). On multivariable analysis, top five predictors of cEEG use included seizure diagnosis, hospitals with >500 beds, regions Northeast and South, and anesthetic use. Top predictors of mortality included use of mechanical ventilation, vasopressors, anesthetics, antiseizure medications, and age. Propensity analysis showed that cEEG was associated with lower in-hospital mortality (Average Treatment Effect -0.015 [95% confidence interval -0.028 to -0.003], Odds ratio 0.746 [95% confidence interval, 0.618-0.900]).

CONCLUSIONS:

There has been a national increase in cEEG utilization for hospitalized patients with cerebrovascular diseases, with practice variation. cEEG utilization was associated with lower in-hospital mortality. Larger comparative studies of cEEG-guided treatments are indicated to inform best practices, guide policy changes for increased access, and create guidelines on triaging and transferring patients to centers with cEEG capability.

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Idioma: En Revista: J Clin Neurophysiol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Idioma: En Revista: J Clin Neurophysiol Ano de publicação: 2023 Tipo de documento: Article