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|Title||Medications associated with clinical deterioration in hospitalized children.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Huang EJ, Bonafide CP, Keren R, Nadkarni VM, Holmes JH|
|Journal||J Hosp Med|
|Date Published||2013 May|
|Keywords||Adolescent, Case-Control Studies, Child, Child, Hospitalized, Child, Preschool, Cross-Over Studies, Drug-Related Side Effects and Adverse Reactions, Female, Hospitalization, Hospitals, Pediatric, Humans, Infant, Infant, Newborn, Male, Pharmaceutical Preparations|
BACKGROUND: Medical emergency teams have been shown to reduce mortality in children's hospitals, but there are many potential barriers to their activation. Surveillance tools using electronic health record data help identify children at risk of deterioration. Existing early warning scores primarily include vital signs, but may benefit from the incorporation of medications.
OBJECTIVE: We aimed to identify the therapeutic classes of medications temporally associated with clinical deterioration that could be incorporated with vital signs into surveillance tools.
DESIGN: Case-crossover study.
SETTING: The Children's Hospital of Philadelphia.
PATIENTS: Children with clinical deterioration, defined as cardiopulmonary arrest, acute respiratory compromise, or urgent intensive care unit transfer while hospitalized on pediatric wards (n = 141).
EXPOSURES: Intravenous administrations of medications from therapeutic classes administered in ≥5% of control periods.
RESULTS: Nine therapeutic classes were significantly associated with clinical deterioration: glycopeptide antibiotics, anaerobic antibiotics, third-generation and fourth-generation cephalosporins, aminoglycoside antibiotics, systemic corticosteroids, benzodiazepines, loop diuretics, narcotic analgesics (full opioid agonists), and antidotes to hypersensitivity reactions.
CONCLUSIONS: We identified a set of therapeutic classes associated with increased risk of clinical deterioration. Future work should focus on evaluating whether including these therapeutic classes in multivariable models improves their accuracy in detecting early, evolving deterioration.
|Alternate Journal||J Hosp Med|