ABSTRACT
BACKGROUND: We describe innovations in the study design and the efficient data coordination of a randomized multicenter trial of Argatroban in Combination with Recombinant Tissue Plasminogen Activator for Acute Stroke (ARTSS-2). METHODS: ARTSS-2 is a 3-arm, multisite/multiregional randomized controlled trials (RCTs) of two doses of Argatroban injection (low, high) in combination with recombinant tissue plasminogen activator (rt-PA) in acute ischemic stroke patients and rt-PA alone. We developed a covariate adaptive randomization program that balanced the study arms with respect to study site as well as hemorrhage after thrombolysis (HAT) score and presence of distal internal carotid artery occlusion (DICAO). We used simulation studies to validate performance of the randomization program before making any adaptations during the trial. For the first 90 patients enrolled in ARTSS-2, we evaluated performance of our randomization program using chi-square tests of homogeneity or extended Fisher's exact test. We also designed a four-step partly Bayesian safety stopping rule for low and high dose Argatroban arms. RESULTS: Homogeneity of the study arms was confirmed with respect to distribution of study site (UK sites vs. US sites, P=0.98), HAT score (0-2 vs. 3-5, P=1.0), and DICAO (N/A vs. No vs. Yes, P=0.97). Our stopping thresholds for safety of low and high dose Argatroban were not crossed. Despite challenges, data quality was assured. CONCLUSIONS: We recommend adaptive designs for randomization and Bayesian safety stopping rules for multisite Phase I/II RCTs for maintaining additional flexibility. Efficient data coordination could lead to improved data quality.
ABSTRACT
BACKGROUND AND PURPOSE: Discharge status and acute re-hospitalization are used as indicators of stroke severity and recovery. Intravenous t-PA (tissue plasminogen activator) is one of two treatments shown to have a positive impact. Stroke rehabilitation patients are an important population who will end up integrated back into the community, institutionalized or hospitalized due to late stroke complications. We sought to determine factors contributing to post rehabilitation discharge and acute re-hospitalization, in particular, the impact of t-PA therapy. METHODS: Retrospective analysis of census data from ischemic stroke patients on the UTHealth Stroke/Neurorehabilitation Services at Memorial Hermann Hospital - Texas Medical Center between Jan 2011 and Nov 2013, discharged to the Community, SNF (Skilled Nursing Facility) or AC (Acute Care). Demographics and NIHSS (National Institutes of Health Stroke Scale) were collected. Discharge FIM (Functional Independence Measure) was the reference standard. Genitourinary infections were a negative mediator in the multivariate regression. RESULTS: Of 346 patients, 274 returned to the community, 47 to SNF, and 25 to AC. NIHSS AND T-PA THERAPY: Median NIHSS values were 8 in the community group, 11 in SNF and 9.5 in AC. 31.8% of patients received IV t-PA in the community group, 23.4% in SNF and 24% in AC. There were no statistically differences in community discharge rates. COMMUNITY VS AC: One day increase in rehabilitation hospitalization correlated with 19% decreased odds of AC readmission (OR 0.81; P=0.001). One unit discharge FIM increase correlated with 13% decreased odds of AC readmission (OR 0.87; P=0.003). COMMUNITY VS SNF: One year age increase correlated with 4% increased odds of SNF admission (OR 1.04; P=0.02). CONCLUSIONS: Intense rehabilitation evidenced by FIM improvement and length of stay, impacts community discharge in mild to moderate stroke patients. t-PA had no effect. This study is limited by sample size, retrospective design and undetermined psychosocial factors.
ABSTRACT
BACKGROUND: Limited information has been published regarding standard quality assurance (QA) procedures for stroke registries. We share our experience regarding the establishment of enhanced QA procedures for the University of Texas Houston Stroke Registry (UTHSR) and evaluate whether these QA procedures have improved data quality in UTHSR. METHODS: All 5093 patient records that were abstracted and entered in UTHSR, between January 1, 2008 and December 31, 2011, were considered in this study. We conducted reliability and validity studies. For reliability and validity of data captured by abstractors, a random subset of 30 records was used for re-abstraction of select key variables by two abstractors. These 30 records were re-abstracted by a team of experts that included a vascular neurologist clinician as the "gold standard". We assessed inter-rater reliability (IRR) between the two abstractors as well as validity of each abstractor with the "gold standard". Depending on the scale of variables, IRR was assessed with Kappa or intra-class correlations (ICC) using a 2-way, random effects ANOVA. For assessment of validity of data in UTHSR we re-abstracted another set of 85 patient records for which all discrepant entries were adjudicated by a vascular neurology fellow clinician and added to the set of our "gold standard". We assessed level of agreement between the registry data and the "gold standard" as well as sensitivity and specificity. We used logistic regression to compare error rates for different years to assess whether a significant improvement in data quality has been achieved during 2008-2011. RESULTS: The error rate dropped significantly, from 4.8% in 2008 to 2.2% in 2011 (P < 0.001). The two abstractors had an excellent IRR (Kappa or ICC ≥ 0.75) on almost all key variables checked. Agreement between data in UTHSR and the "gold standard" was excellent for almost all categorical and continuous variables. CONCLUSIONS: Establishment of a rigorous data quality assurance for our UTHSR has helped to improve the validity of data. We observed an excellent IRR between the two abstractors. We recommend training of chart abstractors and systematic assessment of IRR between abstractors and validity of the abstracted data in stroke registries.
