Conversation as an Outcome of Aphasia Treatment: A Systematic Scoping Review

PURPOSE: Conversation-focused speech-language pathology services are a top priority for people living with aphasia, but little is known about how researchers measure conversation as an outcome of treatment. This scoping review was undertaken to systematically review the evidence regarding the measurement of conversation in aphasia studies and to identify current practices and existing gaps. METHOD: A systematic literature search was conducted for studies published between January 1995 and September 2019 in multiple electronic databases. Covidence software was used to manage search results, study selection, and data charting processes. Data were extracted from each study and then collated and organized to elucidate the breadth of approaches, tools, or procedures oriented to measuring conversation as an outcome and identify gaps in the existing literature. RESULTS: The systematic search of the literature resulted in 1,244 studies. A total of 64 studies met inclusion criteria and were included in the review. The review summarizes the various tools and procedures used to measure conversation as an outcome of aphasia intervention, including variations in data collection and analysis procedures. The review also evaluates the quality of conversation measures in terms of psychometric properties and informal measures of validity. There was a total of 211 measures used across the 64 studies. CONCLUSIONS: While there was no clear measure that was objectively superior, several measures show promise and warrant future exploration. Some of the orientations, conceptualizations, and procedures we have presented can be seen as options that might be included in a future conversation-focused core outcome set. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.21514062

The major genetic determinants of HIV-1 control affect HLA class I peptide presentation.

Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified >300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection