129 research outputs found

    An explainable multi-attribute decision model based on argumentation

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    We present a multi-attribute decision model and a method for explaining the decisions it recommends based on an argumentative reformulation of the model. Specifically, (i) we define a notion of best (i.e., minimally redundant) decisions amounting to achieving as many goals as possible and exhibiting as few redundant attributes as possible, and (ii) we generate explanations for why a decision is best or better than or as good as another, using a mapping between the given decision model and an argumentation framework, such that best decisions correspond to admissible sets of arguments. Concretely, natural language explanations are generated automatically from dispute trees sanctioning the admissibility of arguments. Throughout, we illustrate the power of our approach within a legal reasoning setting, where best decisions amount to past cases that are most similar to a given new, open case. Finally, we conduct an empirical evaluation of our method with legal practitioners, confirming that our method is effective for the choice of most similar past cases and helpful to understand automatically generated recommendations

    Analysis of Factors Driving Incident and Ascending Infection and the Role of Serum Antibody in Chlamydia trachomatis Genital Tract Infection

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    Background. Chlamydia trachomatis genital tract infection is a major cause of female reproductive morbidity. Risk factors for ascending infection are unknown, and the role for antibody in protection is not well established

    Identification of Chlamydia trachomatis Antigens Recognized by T Cells From Highly Exposed Women Who Limit or Resist Genital Tract Infection

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    Background. Natural infection induces partial immunity to Chlamydia trachomatis. Identification of chlamydial antigens that induce interferon Îł (IFN-) secretion by T cells from immune women could advance vaccine development

    Iterative qualitative approach to establishing content validation of a patient-reported outcome measure for arm lymphedema:the LYMPH-Q Upper Extremity Module

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    Background: Breast cancer-related lymphedema (BRCL) is one of the most common causes of upper extremity (UE) lymphedema in developed nations and substantially impacts health-related quality of life. To advance our understanding of the epidemiology and treatment of BRCL, rigorously developed and validated patient-reported outcome measures (PROMs) are needed. This study aimed to demonstrate the iterative content validity of a modular UE lymphedema-specific PROM called the LYMPH-Q UE module. Methods:A multi-step iterative qualitative approach was used. Semi-structured interview data from in-depth qualitative interviews with adult women (18 years and older) with BCRL were used to develop the first set of the LYMPH-Q UE scales. The content validity of these scales was demonstrated with patient and clinician feedback. Over the course of cognitive debriefing interviews, additional concepts of lymphedema worry and impact on work were identified as missing from the LYMPH-Q UE module. Subsequently, two new qualitative studies (a focus group and in-depth concept elicitation interviews with patients) were conducted, and two new scales were developed to measure lymphedema worry and impact on work life and their content validity was dResults: emonstrated. Qualitative data from in-depth and cognitive interviews with 15 (age 40–74 years) and 16 (age 38–74 years) women with BRCL, respectively, and feedback from 12 clinical experts, were used to develop and demonstrate the content validity of six LYMPH-Q UE scales measuring symptoms, function, appearance, psychological, information, and arm sleeve. Additionally, data from in-depth interviews with 12 (age 35–72 years) women with UE lymphedema and four focus groups (n = 16 women; age 35–74 years) was used to develop and assess the content validity of two new LYMPH-Q UE scales measuring lymphedema worry and impact on work life. The content validity of the previously established six scales was also demonstrated in these subsequent qualitative studies. Conclusion: The LYMPH-Q UE is a modular PROM developed using international guidelines for PROM development and can be used in clinical practice, research, and quality improvement to enhance patient-centered shared decision-making. This study’s innovative and iterative approach to content validation demonstrates that the LYMPH-Q UE is a comprehensive measure that includes important concepts relevant to patients with UE lymphedema.</p

    Genetic susceptibility loci for Chlamydia trachomatis endometrial infection influence expression of genes involved in T cell function, tryptophan metabolism and epithelial integrity

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    Objectives Identify genetic loci of enhanced susceptibility to Chlamydial trachomatis (Ct) upper genital tract infection in women.MethodsWe performed an integrated analysis of DNA genotypes and blood-derived mRNA profiles from 200 Ct-exposed women to identify expression quantitative trait loci (eQTL) and determine their association with endometrial chlamydial infection using a mediation test. We further evaluated the effect of a lead eQTL on the expression of CD151 by immune cells from women with genotypes associated with low and high whole blood expression of CD151, respectively. Results We identified cis-eQTLs modulating mRNA expression of 81 genes (eGenes) associated with altered risk of ascending infection. In women with endometrial infection, eGenes involved in proinflammatory signaling were upregulated. Downregulated eGenes included genes involved in T cell functions pivotal for chlamydial control. eGenes encoding molecules linked to metabolism of tryptophan, an essential chlamydial nutrient, and formation of epithelial tight junctions were also downregulated in women with endometrial infection. A lead eSNP rs10902226 was identified regulating CD151, a tetrospanin molecule important for immune cell adhesion and migration and T cell proliferation. Further in vitro experiments showed that women with a CC genotype at rs10902226 had reduced rates of endometrial infection with increased CD151 expression in whole blood and T cells when compared to women with a GG genotype. Conclusions We discovered genetic variants associated with altered risk for Ct ascension. A lead eSNP for CD151 is a candidate genetic marker for enhanced CD4 T cell function and reduced susceptibility

    Gene Expression Signatures Can Aid Diagnosis of Sexually Transmitted Infection-Induced Endometritis in Women

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    Sexually transmitted infection (STI) of the upper reproductive tract can result in inflammation and infertility. A biomarker of STI-induced upper tract inflammation would be significant as many women are asymptomatic and delayed treatment increases risk of sequelae. Blood mRNA from 111 women from three cohorts was profiled using microarray. Unsupervised analysis revealed a transcriptional profile that distinguished 9 cases of STI-induced endometritis from 18 with cervical STI or uninfected controls. Using a hybrid feature selection algorithm we identified 21 genes that yielded maximal classification accuracy within our training dataset. Predictive accuracy was evaluated using an independent testing dataset of 5 cases and 10 controls. Sensitivity was evaluated in a separate test set of 12 women with asymptomatic STI-induced endometritis in whom cervical burden was determined by PCR; and specificity in an additional test set of 15 uninfected women with pelvic pain due to unknown cause. Disease module preservation was assessed in 42 women with a clinical diagnosis of pelvic inflammatory disease (PID). We also tested the ability of the biomarker to discriminate STI-induced endometritis from other diseases. The biomarker was 86.7% (13/15) accurate in correctly distinguishing cases from controls in the testing dataset. Sensitivity was 83.3% (5/6) in women with high cervical Chlamydia trachomatis burden and asymptomatic endometritis, but 0% (0/6) in women with low burden. Specificity in patients with non-STI-induced pelvic pain was 86.7% (13/15). Disease modules were preserved in all 8 biomarker predicted cases. The 21-gene biomarker was highly discriminatory for systemic infections, lupus, and appendicitis, but wrongly predicted tuberculosis as STI-induced endometritis in 52.4%. A 21-gene biomarker can identify asymptomatic women with STI-induced endometritis that places them at risk for chronic disease development and discriminate STI-induced endometritis from non-STI pelvic pain and other diseases
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