Literature DB >> 12942655

Influence of delaying treatment after symptoms develop from subarachnoid hemorrhage: a preliminary analysis.

Lynn Lorenzi1, Mary E Kerr, Howard Yonas, Sheila Alexander, Elizabeth Crago.   

Abstract

Patients experiencing subarachnoid hemorrhage (SAH) symptoms may delay seeking medical attention, not realizing the severity of these symptoms. The purposes of this study were to determine (a) the length of time between the development of SAH symptoms in patients and when treatment was initially sought and (b) whether the delay in hospital admission had an effect on patient outcomes. Inclusion criteria were age (18-75 years) and diagnosis of severe SAH. Consent was obtained on 90 eligible patients admitted to the neurovascular intensive care unit. Outcomes were assessed at 3 months using the Glasgow Outcome Scale (GOS) and Modified Rankin Scale (MRS). Initial time delay, calculated by subtracting the time of initial symptom development from the time of admission to the emergency department (ED), ranged from 0.08 to 103 hours. There was no relationship between the initial time delay and GOS or MRS scores. There was a significant difference between the time to initial ED admission to a trauma ED and to a community ED; patients were admitted within 2.7 hours to a trauma ED admission, compared to 7 hours for a community ED admission. There was a significant relationship between the Hunt and Hess Scale and GOS and between the Hunt and Hess and MRS. There was a significant relationship between the Fisher Grade and GOS and between the Fisher Grade and MRS. This study shows that patients may delay treatment for nearly 7 hours after initial symptoms develop. This suggests that laypersons are not aware of SAH symptoms, thereby delaying ED admission and care. The study also suggests that more severe symptoms upon admission to the ED were related to poorer outcomes. Initial clinical presentation is a useful predictor for SAH outcomes. This study supports the idea that the general public needs to be educated on the symptoms of SAH.

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Year:  2003        PMID: 12942655

Source DB:  PubMed          Journal:  J Neurosci Nurs        ISSN: 0888-0395            Impact factor:   1.230


  1 in total

Review 1.  Determining rural risk for aneurysmal subarachnoid hemorrhages: A structural equation modeling approach.

Authors:  Linda Jayne Nichols; Seana Gall; Christine Stirling
Journal:  J Neurosci Rural Pract       Date:  2016 Oct-Dec
  1 in total

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