Jennifer Williams
Washington University in St. Louis
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Publication
Featured researches published by Jennifer Williams.
Stroke | 2012
Andria L. Ford; Jennifer Williams; Mary Spencer; Craig McCammon; Naim Khoury; Tomoko Sampson; Peter D. Panagos; Jin-Moo Lee
Background and Purpose— Earlier tissue-type plasminogen activator (tPA) treatment for acute ischemic stroke increases efficacy, prompting national efforts to reduce door-to-needle times. We used lean process improvement methodology to develop a streamlined intravenous tPA protocol. Methods— In early 2011, a multidisciplinary team analyzed the steps required to treat patients with acute ischemic stroke with intravenous tPA using value stream analysis (VSA). We directly compared the tPA-treated patients in the “pre-VSA” epoch with the “post-VSA” epoch with regard to baseline characteristics, protocol metrics, and clinical outcomes. Results— The VSA revealed several tPA protocol inefficiencies: routing of patients to room, then to CT, then back to the room; serial processing of workflow; and delays in waiting for laboratory results. On March 1, 2011, a new protocol incorporated changes to minimize delays: routing patients directly to head CT before the patient room, using parallel process workflow, and implementing point-of-care laboratories. In the pre and post-VSA epochs, 132 and 87 patients were treated with intravenous tPA, respectively. Compared with pre-VSA, door-to-needle times and percent of patients treated ⩽60 minutes from hospital arrival were improved in the post-VSA epoch: 60 minutes versus 39 minutes (P<0.0001) and 52% versus 78% (P<0.0001), respectively, with no change in symptomatic hemorrhage rate. Conclusions— Lean process improvement methodology can expedite time-dependent stroke care without compromising safety.
Stroke | 2015
Hongyu An; Andria L. Ford; Yasheng Chen; Hongtu Zhu; Rosana Ponisio; Amirali Modir Shanechi; Naim Khoury; Katie D. Vo; Jennifer Williams; Colin P. Derdeyn; Michael N. Diringer; Peter Panagos; William J. Powers; Jin-Moo Lee; Weili Lin
Background and Purpose— Penumbral biomarkers promise to individualize treatment windows in acute ischemic stroke. We used a novel magnetic resonance imaging approach that measures oxygen metabolic index (OMI), a parameter closely related to positron emission tomography–derived cerebral metabolic rate of oxygen utilization (CMRO2), to derive a pair of ischemic thresholds: (1) an irreversible-injury threshold that differentiates ischemic core from penumbra and (2) a reversible-injury threshold that differentiates penumbra from tissue not-at-risk for infarction. Methods— Forty patients with acute ischemic stroke underwent magnetic resonance imaging at 3 time points after stroke onset: <4.5 hours (for OMI threshold derivation), 6 hours (to determine reperfusion status), and 1 month (for infarct probability determination). A dynamic susceptibility contrast method measured cerebral blood flow, and an asymmetrical spin echo sequence measured oxygen extraction fraction, to derive OMI (OMI=cerebral blood flow×oxygen extraction fraction). Putative ischemic threshold pairs were iteratively tested using a computation-intensive method to derive infarct probabilities in 3 tissue groups defined by the thresholds (core, penumbra, and not-at-risk tissue). An optimal threshold pair was chosen based on its ability to predict infarction in the core, reperfusion-dependent survival in the penumbra, and survival in not-at-risk tissue. The predictive abilities of the thresholds were then tested within the same cohort using a 10-fold cross-validation method. Results— The optimal OMI ischemic thresholds were found to be 0.28 and 0.42 of normal values in the contralateral hemisphere. Using the 10-fold cross-validation method, median infarct probabilities were 90.6% for core, 89.7% for nonreperfused penumbra, 9.95% for reperfused penumbra, and 6.28% for not-at-risk tissue. Conclusions— OMI thresholds, derived using voxel-based, reperfusion-dependent infarct probabilities, delineated the ischemic penumbra with high predictive ability. These thresholds will require confirmation in an independent patient sample.
Stroke | 2016
Manu S. Goyal; Brian Hoff; Jennifer Williams; Naim Khoury; Rebecca Wiesehan; Laura Heitsch; Peter D. Panagos; Katie D. Vo; Tammie L.S. Benzinger; Colin P. Derdeyn; Jin-Moo Lee; Andria L. Ford
Background and Purpose— Stroke mimics (SM) challenge the initial assessment of patients presenting with possible acute ischemic stroke (AIS). When SM is considered likely, intravenous tissue-type plasminogen activator (tPA) may be withheld, risking an opportunity to treat AIS. Although computed tomography is routinely used for tPA decision making, magnetic resonance imaging (MRI) may diagnose AIS when SM is favored but not certain. We hypothesized that a hyperacute MRI (hMRI) protocol would identify tPA-eligible AIS patients among those initially favored to have SM. Methods— A streamlined hMRI protocol was designed based on barriers to rapid patient transport, MRI acquisition, and post-MRI tPA delivery. Neurologists were trained to order hMRI when SM was favored and tPA was being withheld. The use of hMRI for tPA decision making, door-to-needle times, and outcomes were compared before hMRI implementation (pre-hMRI: August 1, 2011 to July 31, 2013) and after (post-hMRI, August 1, 2013, to January 15, 2015). Results— Post hMRI, 57 patients with suspected SM underwent hMRI (median MRI-order-to-start time, 29 minutes), of whom, 11 (19%) were diagnosed with AIS and 7 (12%) received tPA. Pre-hMRI, no tPA-treated patients were screened with hMRI. Post hMRI, 7 of 106 (6.6%) tPA-treated patients underwent hMRI to aid in decision making because of suspected SM (0% versus 6.6%; P=0.001). To ensure standard care was maintained after implementing the hMRI protocol, pre- versus post-hMRI tPA-treated cohorts were compared and did not differ: door-to-needle time (39 versus 37 minutes; P=0.63), symptomatic hemorrhage rate (4.5% versus 1.9%; P=0.32), and favorable discharge location (85% versus 89%; P=0.37). Conclusions— A streamlined hMRI protocol permitted tPA administration to a small, but significant, subset of AIS patients initially considered to have SM.
Stroke | 2009
Andria L. Ford; Lisa Tabor Connor; David Tan; Jennifer Williams; Jin-Moo Lee; Abdullah Nassief
Background and Purpose— The decision to administer tPA to acute stroke patients is frequently made by stroke attendings or fellows, but placing residents in this position may make tPA delivery more efficient. Methods— Beginning in 2004, we instituted a resident-based acute stroke protocol placing neurology residents in decision-making roles. Time-intervals, symptomatic hemorrhage rate, and discharge locations were prospectively collected and compared between two epochs, before and after 2004. Results— 59 acute ischemic stroke patients were treated with tPA before protocol initiation (1998 to 2002), while 113 patients were treated after protocol initiation (2004 to 2007). The average door-to-needle and onset-to-needle times were significantly shorter after initiation of the resident-based protocol (81 versus 60 minutes [P<0.001] and 138 versus 126 minutes [P<0.05]), respectively. Symptomatic hemorrhage rate (5.1% versus 3.5%) and favorable discharge location (68% versus 76%) did not differ between the two time periods. Conclusion— A resident-driven tPA protocol, with formal training and quality control, is safe and efficient.
Stroke | 2017
Grace S. Griesbach; Sarah Finley; Jennifer Williams; David Harrington
Stroke | 2016
Andria L. Ford; Jennifer Williams; Brian Hoff; David Curfman; Rebecca Wiesehan; Michael Steinkruger; Hawnwan Phil Moy; Laura Heitsch; Peter Panagos; Jin-Moo Lee
Stroke | 2016
Peter Panagos; Jennifer Williams; Tomoko Sampson; Naim Khoury; Craig McCammon; Laura Heitsch; Jin-Moo Lee; Andria L. Ford
Stroke | 2015
Manu S. Goyal; Brian Hoff; Jennifer Williams; Joshua Buck; Laura Heitsch; Peter Panagos; Katie D. Vo; Tammie L.S. Benzinger; Colin P. Derdeyn; Jin-Moo Lee; Andria L. Ford
Stroke | 2013
Jennifer Williams; Peter Panagos; Craig McCammon; Andria L. Ford; Laura Heitsch; David Tan; Naim Khoury
Stroke | 2012
Andria L. Ford; Jennifer Williams; Naim Khoury; Tomoko Sampson; Craig McCammon; Peter Panagos; Jin-Moo Lee