Novel Definition of Stroke “Good Responders” Predicts 90-Day Outcome after Thrombolysis
Introduction
Stroke is a leading cause of mortality and disability worldwide,1,2 and a major source of economic burden.3 An estimated $65 billion is lost to stroke in the United States, with two thirds accounted by direct costs (including acute and long term care), and the remainder third accounted by indirect costs that include lost productivity.4
The use of intravenous recombinant tissue plasminogen activator (rt-PA) since its approval in 1996, has become pivotal in reducing disability in stroke. About two thirds of eligible patients receive IV thrombolysis in the United States, with the rate nearly doubling over time.5 The time it takes to improve after rt-PA varies among individuals, but certain variables have been correlated with good outcomes. Variables correlating with early improvement are not well elucidated, but studies have found an association between early neurologic improvement within 24 hours and favorable outcome at 3 months.6, 7, 8 Even so, a proportion of patients still fail to demonstrate early recovery after thrombolysis.8 In these studies, the National Institute of Health Stroke Scale (NIHSS) was the sole measure of clinical improvement, plotted against differing time frames. While unquestionably useful, utilizing the NIHSS poses some limitations,9 cautious interpretation, and requires training and certification.
Identifying who will recover early from thrombolysis, and if early recovery will correlate with long term outcome, is still unknown. In order to eliminate NIHSS measurements and expand outcome measures to include patients that do not necessarily improve early within 24 hours, but improve nonetheless during hospitalization, we hypothesized that variables available early in the hospitalization of rt-PA patients may aide in longer term outcome prediction. We assessed if 2 clinically chosen variables (hospital length of stay [LOS] of 3 days or less, and discharge destination of home) could pragmatically predict 90-day outcome among rt-PA treated stroke patients.
Section snippets
Methods
We conducted a retrospective analysis of prospectively collected data from a database of consecutive acute stroke code patients seen from June 2004 to June 2018 at 1 of our facilities. Cases were included if they received IV rt-PA and had a final diagnosis of acute ischemic stroke. We excluded cases that underwent intra-arterial treatment to avoid confounding.
Patients were grouped based on 2 short-term variables (hospital LOS and discharge destination) after receiving rt-PA. “Good Responder” to
Results
A total of 261 patients met inclusion criteria and were included in our analysis. The subjects were stratified according to LOS and discharge destination: 101 (38.7%) were GR++, while 67 (25.7%) were GR- -, and 93 (35.6%) were GR+/-. Table 1 reports baseline characteristics according to the 3 groups. Among GR++ and GR+/- and GR- -, there were significant differences in mean age (62.7, 71.2, 69.2; P = .002), and baseline mRS score 0 to 2 (94.9%, 74.6%, 84.8%; P = .008).
Lower values for age,
Discussion
Since the approval of IV rt-PA for stroke, clinicians and researchers have been working to predict both short and long term patient outcome after an index stroke. Understanding which patients will improve after rt-PA over the short and long term has been the focus of previous research, and relevant variables have been found. Both the baseline NIHSS10,11 and mRS12, 13, 14 have been shown to be predictors of long-term outcome, as has elevated admission glucose levels,15, 16, 17 white matter
Declaration of Competing Interest
Dr. Brett Meyer receives grant support for U24NS107225. Dr. Dawn Meyer is on Speaker's Bureau for Portola and Chiesi. Dr. Alyssa Bautista discloses no conflict of interest.
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Funding: None.