Effects of Preexisting Psychotropic Medication Use on a Cohort of Patients with Ischemic Stroke Outcome

Background: Several studies investigated the use of selective serotonin reuptake inhibitors (SSRI) after ischemic stroke to improve motor recovery. However, little is known about the effects of preexisting psychotropic medication use (PPMU), such as antidepressants, on a long-term ischemic stroke functional disability. Objective: We sought to determine the prevalence of PPMU and whether PPMU relates to the long-term clinical outcome in a cohort of patients presenting with acute ischemic strokes. Methods: We retrospectively analyzed 323 consecutive patients who presented with an acute ischemic stroke in a single institution between January 2015 and December 2017. Baseline characteristics, functional disability as measured by the modified Rankin Scale (mRS), and major adverse cardiovascular complications (MACE) within 365 days were recorded. The comparison groups included a control group of ischemic stroke patients who were not on psychotropic medications before and after the index ischemic stroke and a second group of poststroke psychotropic medication use (PoMU), which consisted of patients started on psychotropic medication during the index admission. Results: The prevalence of PPMU in the studied cohort was 21.4% (69/323). There was a greater proportion of females in the PPMU than in the comparison groups (P \u3c 0.001), while vascular risk factors were similar in all groups, except for an increased presence of posterior circulation infarcts in the PPMU (37.4% vs. 18.8%, P \u3c 0.001). Among the patients with available 1-year follow-up data (n = 246), we noted significantly greater improvement in stroke deficits, measured by National Institute of Health Stroke Scale (NIHSS) between PPMU and PoMU vs. control (3 (0-7) versus 1 (0-4), P = 0.041). The 1-year mRS was worse in PPMU and PoMU compared to the control group (2 (IQ 1-3) vs. 2 (IQ 0-3) vs. 1 (IQ 0-2), respectively, P = 0.013), but delta mRS reflecting the degree of mRS improvement showed no significant difference between any PMU and control patients (P = 0.76). There was no statistically significant difference in MACE. Conclusion: PPMU in ischemic stroke is common; it can be beneficial in ischemic stroke in the long-term clinical outcome and is not associated with increased risks of MACE

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Relationship of white matter lesion severity with early and late outcomes after mechanical thrombectomy for large vessel stroke

BACKGROUND: White matter lesions (WML) are associated with poor outcome after mechanical thrombectomy (MT) for large vessel stroke; the reasons are uncertain. To elucidate this issue we sought to determine the association of WML with multiple early and late outcome measures after MT. METHODS: We retrospectively analyzed 181 MT patients prospectively included in our local stroke registry (January 2012 to November 2016). Using multiple regression modeling, we assessed whether WML was independently associated with early outcomes (successful recanalization, degree of National Institutes of Health Stroke Scale (NIHSS) improvement, hemorrhagic transformation, duration of hospitalization) as well as an unfavorable 90-day modified Rankin Scale score (mRS) ( \u3e /=3) and 90-day survival. Explorative analyses examined the association with the 90-day home-time and 90-day risk for hospital readmission. RESULTS: WML were not significantly associated with early outcome measure (P \u3e 0.05, each). Patients with moderate-to-severe WML more often had an unfavorable mRS (OR 2.93, 95% CI 1.04 to 8.33) and risk of death (HR 1.98, 95% CI 1.03 to 3.84) after adjustment for pertinent confounders. Patients with moderate-to-severe WML had a significantly shorter home-time (19+/-32 vs 47+/-38 days, P \u3c 0.001) and Kaplan-Meier analyses indicated a significantly greater risk for hospital readmission within 90 days (log rank P=0.045), with the most frequent reasons being recurrent stroke and transient ischemic attack. CONCLUSION: Our analyses suggest that poor outcomes among patients with moderate-to-severe WML were related to factors unrelated to procedural success and risk. WML should not be used to render treatment decisions in otherwise eligible patients. Aggressive monitoring of medical complications after MT could represent a viable strategy to improve outcome in affected patients

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press