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Objective: To analyze patient-reported outcomes, cognitive function, and persistent symptoms in patients with neurologic post-acute sequelae of SARS-CoV-2 infection (Neuro-PASC) in Colombia. Methods: We recruited patients with laboratory-confirmed COVID-19 and PASC symptoms lasting more than 6 weeks at the CES University and CES Clinic (Medellín, Colombia). We included 50 post-hospitalization Neuro-PASC (PNP) and 50 non-hospitalized Neuro-PASC (NNP) patients. Long-COVID symptoms, cognitive (NIH Toolbox v2.1-Spanish for 18+), patient-reported (PROMIS) outcomes, and relevant medical history were evaluated. Statistical analyses were performed via generalized linear models. Results: Overall, brain fog (60%), myalgia (42%), and numbness or tingling (41%) were the most common neurological symptoms, while fatigue (74%), sleep problems (46%), and anxiety (44%) were the most common non-neurological symptoms. Compared to NNP, PNP patients showed a higher frequency of abnormal neurological exam findings (64% vs. 42%, p = 0.028). Both groups had impaired quality of life (QoL) in domains of cognition, fatigue, anxiety depression and sleep disturbance, and performed worse on processing speed and attention than a normative population. In addition, NNP patients performed worse on executive function than PNP patients (T-score 42.6 vs. 48.5, p = 0.012). PASC symptoms of anxiety and depression were associated with worse QoL and cognitive outcomes. Brain fog and fatigue remained persistent symptoms across all durations of Long COVID. Conclusion: Our findings highlight the high incidence and heterogeneity of the neurologic symptoms and impacts of Long COVID even more than 2 years from disease onset. Early detection, emotional support and targeted management of Neuro-PASC patients are warranted.
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PURPOSE: Small-N studies are the dominant study design supporting evidence-based interventions in communication science and disorders, including treatments for aphasia and related disorders. However, there is little guidance for conducting reproducible analyses or selecting appropriate effect sizes in small-N studies, which has implications for scientific review, rigor, and replication. This tutorial aims to (a) demonstrate how to conduct reproducible analyses using effect sizes common to research in aphasia and related disorders and (b) provide a conceptual discussion to improve the reader's understanding of these effect sizes. METHOD: We provide a tutorial on reproducible analyses of small-N designs in the statistical programming language R using published data from Wambaugh et al. (2017). In addition, we discuss the strengths, weaknesses, reporting requirements, and impact of experimental design decisions on effect sizes common to this body of research. RESULTS: Reproducible code demonstrates implementation and comparison of within-case standardized mean difference, proportion of maximal gain, tau-U, and frequentist and Bayesian mixed-effects models. Data, code, and an interactive web application are available as a resource for researchers, clinicians, and students. CONCLUSIONS: Pursuing reproducible research is key to promoting transparency in small-N treatment research. Researchers and clinicians must understand the properties of common effect size measures to make informed decisions in order to select ideal effect size measures and act as informed consumers of small-N studies. Together, a commitment to reproducibility and a keen understanding of effect sizes can improve the scientific rigor and synthesis of the evidence supporting clinical services in aphasiology and in communication sciences and disorders more broadly. Supplemental Material and Open Science Form: https://doi.org/10.23641/asha.21699476.
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Afasia , Humanos , Reprodutibilidade dos Testes , Teorema de Bayes , Afasia/terapia , Comunicação , EstudantesRESUMO
PURPOSE: The external validity of aphasia treatment research relies on diverse and representative participants. The purposes of this study were (a) to examine whether reporting of patient-reported age, sex, and race/ethnicity has improved since Ellis (2009) and (b) to evaluate whether these demographic variables were consistent with population-level estimates of stroke survivor demographics in the United States. METHOD: A scoping review examined U.S.-based aphasia treatment studies published between 2009 and 2019 and characterized the percentage of studies reporting age, sex, and race/ethnicity. Summary statistics for these variables were calculated and compared statistically with a population-based study of stroke survivors. RESULTS: It was found out that 97.1% of studies reported age, 93.5% reported sex, and 28.1% reported race and/or ethnicity. Within reporting studies, participant mean age was 58.04 years, 61.6% of participants were men, and 38.4% were women; 86.5% of participants were White, 11.0% were Black, 2.0% were Hispanic/Latino, and 0.5% fell in other racial categories. All three variables were statistically different from the study of Kissela et al. (2012). DISCUSSION: Despite being highlighted as an issue by Ellis (2009), less than 30% of recent aphasia treatment studies reported race or ethnicity, and participants do not appear to be demographically representative compared with estimates of stroke survivors living in the United States. These issues may negatively impact the ecological validity of aphasia treatment research. Aphasia researchers should more consistently report participant race and ethnicity and follow current guidelines for increasing the demographic representation of women and minorities.
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Afasia , Acidente Vascular Cerebral , Idoso de 80 Anos ou mais , Afasia/diagnóstico , Afasia/terapia , Etnicidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Grupos Minoritários , Acidente Vascular Cerebral/complicações , Acidente Vascular Cerebral/diagnóstico , Acidente Vascular Cerebral/terapia , Sobreviventes , Estados UnidosRESUMO
PURPOSE: Specifying the active ingredients in aphasia interventions can inform treatment theory and improve clinical implementation. This secondary analysis examined three practice-related predictors of treatment response in semantic feature verification (SFV) treatment. We hypothesized that (a) successful feature verification practice would be associated with naming outcomes if SFV operates similarly to standard feature generation semantic feature analysis and (b) successful retrieval practice would be associated with naming outcomes for treated, but not semantically related, untreated words if SFV operates via a retrieval practice-oriented lexical activation mechanism. METHOD: Item-level data from nine participants with poststroke aphasia who received SFV treatment reported in the work of Evans, Cavanaugh, Quique, et al. (2021) were analyzed using Bayesian generalized linear mixed-effects models. Models evaluated whether performance on three treatment components (facilitated retrieval, feature verification, and effortful retrieval) moderated treatment response for treated and semantically related, untreated words. RESULTS: There was no evidence for or against a relationship between successful feature verification practice and treatment response. In contrast, there was a robust relationship between the two retrieval practice components and treatment response for treated words only. DISCUSSION: Findings were consistent with the second hypothesis: Retrieval practice, but not feature verification practice, appears to be a practice-related predictor of treatment response in SFV. However, treatment components are likely interdependent, and feature verification may still be an active ingredient in SFV. Further research is needed to evaluate the causal role of treatment components on treatment outcomes in aphasia.
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Afasia , Humanos , Teorema de Bayes , Afasia/diagnóstico , Afasia/etiologia , Afasia/terapia , Semântica , Resultado do TratamentoRESUMO
Purpose This meta-analysis synthesizes published studies using "treatment of underlying forms" (TUF) for sentence-level deficits in people with aphasia (PWA). The study aims were to examine group-level evidence for TUF efficacy, to characterize the effects of treatment-related variables (sentence structural family and complexity; treatment dose) in relation to the Complexity Account of Treatment Efficacy (CATE) hypothesis, and to examine the effects of person-level variables (aphasia severity, sentence comprehension impairment, and time postonset of aphasia) on TUF response. Method Data from 13 single-subject, multiple-baseline TUF studies, including 46 PWA, were analyzed. Bayesian generalized linear mixed-effects interrupted time series models were used to assess the effect of treatment-related variables on probe accuracy during baseline and treatment. The moderating influence of person-level variables on TUF response was also investigated. Results The results provide group-level evidence for TUF efficacy demonstrating increased probe accuracy during treatment compared with baseline phases. Greater amounts of TUF were associated with larger increases in accuracy, with greater gains for treated than untreated sentences. The findings revealed generalization effects for sentences that were of the same family but less complex than treated sentences. Aphasia severity may moderate TUF response, with people with milder aphasia demonstrating greater gains compared with people with more severe aphasia. Sentence comprehension performance did not moderate TUF response. Greater time postonset of aphasia was associated with smaller improvements for treated sentences but not for untreated sentences. Conclusions Our results provide generalizable group-level evidence of TUF efficacy. Treatment and generalization responses were consistent with the CATE hypothesis. Model results also identified person-level moderators of TUF (aphasia severity, time postonset of aphasia) and preliminary estimates of the effects of varying amounts of TUF for treated and untreated sentences. Taken together, these findings add to the TUF evidence and may guide future TUF treatment-candidate selection. Supplemental Material https://doi.org/10.23641/asha.16828630.
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Afasia , Afasia/terapia , Teorema de Bayes , Compreensão , Humanos , Idioma , Testes de LinguagemRESUMO
Purpose This meta-analysis synthesizes results from published studies that used semantic feature analysis (SFA) treatment to improve naming for people with aphasia. It examines how both person- and treatment-related variables affected the likelihood of correct naming responses in individual probe sessions for both acquisition (treated) and generalization (untreated) stimuli. Method The meta-analysis compiled data from 12 studies analyzing a total of 35 participants with aphasia. It used mixed-effects models as a novel statistical tool to examine the effects of 2 sets of variables on naming performance: treatment-related variables, including treatment phase (baseline vs. treatment), dosage (number of treatment sessions), and stimulus type (treated vs. untreated, semantically related vs. unrelated items), and person-specific variables, including degree of language impairment and demographic variables (age, time poststroke). Results Results of the meta-analysis revealed that SFA intervention promoted increased naming accuracy during naming probes when comparing baseline and treatment phases. In addition, increased dosages of SFA were associated with increased naming accuracy, and treatment-related gains were larger for acquisition (treated) than generalization (untreated) stimuli, likewise for related versus unrelated generalization stimuli. Furthermore, a subset of person-specific variables was predictive of SFA-related gains: Language impairment variables were related to treatment-related changes in naming performance, but demographic variables were not. Conclusion These results provide group-level evidence for the efficacy of SFA as well as preliminary estimates of how much naming performance benefit is engendered by varying dosages of SFA. The results also provide promising and previously unobserved evidence of potential person-level predictors of SFA treatment response.