Screening Echocardiography in Adults with Down Syndrome.

Down syndrome is the most common chromosomal disorder in the United States, occurring in about 14.14/10,000 births. It is associated with multiple medical anomalies, including cardiac, gastrointestinal, musculoskeletal, and genitourinary abnormalities, which increases the burden of morbidity for this patient population. Management is typically directed toward optimizing health and function throughout childhood and into adulthood; however, consensus regarding their management in adulthood is controversial. The burden of congenital cardiac diseases in children with trisomy 21 is well established, seen in more than 40% of cases. Although screening echocardiography is performed routinely within 1 month of birth, current consensus advocates for diagnostic echocardiography only in symptomatic adults with Down syndrome. Here, we advocate that screening echocardiography should be performed routinely in this patient population at all ages, particularly in late adolescence and early adulthood, because of a high percentage of residual cardiac defects and an increased risk of developing valvular and structural cardiac disease.

Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime (AIC). AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently interdisciplinary area-spanning socio-legal studies to formal science-there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space.

How to Design AI for Social Good: Seven Essential Factors.

The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good.

T-SPOT.TB Interferon-γ Release Assay Performance in Healthcare Worker Screening at Nineteen U.S. Hospitals.

RATIONALE: Interferon-γ release assays have significant advantages over tuberculin skin testing in many clinical situations. However, recent studies have called into question their reliability in serial testing of healthcare workers because of reportedly high rates of positivity and high conversion/reversion rates on retesting. OBJECTIVES: To define the performance characteristics of the T-SPOT.TB test, an interferon-γ release assay, during serial screening programs of healthcare workers at 19 U.S. hospitals. METHODS: A total of 42,155 T-SPOT.TB test results from healthcare workers at 19 geographically diverse hospitals obtained for routine tuberculosis screening programs were analyzed to determine the rates of positivity, reversion, and conversion in serial testing data. MEASUREMENTS AND MAIN RESULTS: In 19,630 evaluable serial pairs from 16,076 healthcare workers, the mean test positivity rate was 2.3% (range, 0.0-27.4%). The mean conversion rate was 0.8% (range, 0.0-2.5%), and the mean reversion rate was 17.6%. Positivity and conversion rates correlated with known tuberculosis risk factors including age and sex. The observed specificity of the T-SPOT.TB test was at least 98.6%. CONCLUSIONS: The high concordance and test completion rates in this study suggest that the T-SPOT.TB test is a reliable tool for healthcare worker serial screening. As expected, the observed positivity rates were lower compared with the tuberculin skin test, likely reflecting the higher specificity of this test. Furthermore, the observed rates of conversion were low and significantly correlated with the geographic incidence of tuberculosis. Our findings suggest that the T-SPOT.TB test is an accurate and reliable way to screen healthcare workers.

Detection of Early-Stage Pancreatic Ductal Adenocarcinoma From Blood Samples: Results of a Multiplex Biomarker Signature Validation Study.

INTRODUCTION: The IMMray PanCan-d test combines an 8-plex biomarker signature with CA19-9 in a proprietary algorithm to detect pancreatic ductal adenocarcinoma (PDAC) in serum samples. This study aimed to validate the clinical performance of the IMMray PanCan-d test and to better understand test performance in Lewis-null (le/le) individuals who cannot express CA19-9. METHODS: Serum samples from 586 individuals were analyzed with the IMMray PanCan-d biomarker signature and CA19-9 assay, including 167 PDAC samples, 203 individuals at high risk of familial/hereditary PDAC, and 216 healthy controls. Samples were collected at 11 sites in the United States and Europe. The study was performed by Immunovia, Inc (Marlborough, MA), and sample identity was blinded throughout the study. Test results were automatically generated using validated custom software with a locked algorithm and predefined decision value cutoffs for sample classification. RESULTS: The IMMray PanCan-d test distinguished PDAC stages I and II (n = 56) vs high-risk individuals with 98% specificity and 85% sensitivity and distinguished PDAC stages I-IV vs high-risk individuals with 98% specificity and 87% sensitivity. We identified samples with a CA19-9 value of 2.5 U/mL or less as probable Lewis-null (le/le) individuals. Excluding these 55 samples from the analysis increased the IMMray PanCan-d test sensitivity to 92% for PDAC stages I-IV (n = 157) vs controls (n = 379) while maintaining specificity at 99%; test sensitivity for PDAC stages I and II increased from 85% to 89%. DISCUSSION: These results demonstrate the IMMray PanCan-d blood test can detect PDAC with high specificity (99%) and sensitivity (92%).

Smudge Cells in Chronic Lymphocytic Leukemia: Pathophysiology, Laboratory Considerations, and Clinical Significance.

Chronic lymphocytic leukemia (CLL) is the most commonly encountered leukemia in the clinical laboratory. Cytoskeletal defects in CLL lymphocytes can result in the formation of up to 75% smudge cells (SCs) during blood film preparation. Failure to account for these damaged lymphocytes in the white blood cell (WBC) differential diminishes the accuracy and reproducibility of the results. Lacking clear practice standards on handling SCs in CLL, different laboratories may employ different methods to mitigate SC-induced errors. This review explores the pathophysiology of SCs, their effect on WBC differentials in CLL, and how these results can impact clinical decisions. The pros and cons of various SC corrective methods are described to assist laboratories in developing an optimized protocol to reduce errors and inconsistencies in WBC differentials. Finally, the potential utility of SC enumeration as an indicator of CLL prognosis is discussed in terms of laboratories with differing access to technology.

Triple-negative breast cancers are increased in black women regardless of age or body mass index.

INTRODUCTION: We investigated clinical and pathologic features of breast cancers (BC) in an unselected series of patients diagnosed in a tertiary care hospital serving a diverse population. We focused on triple-negative (Tneg) tumours (oestrogen receptor (ER), progesterone receptor (PR) and HER2 negative), which are associated with poor prognosis. METHODS: We identified female patients with invasive BC diagnosed between 1998 and 2006, with data available on tumor grade, stage, ER, PR and HER2 status, and patient age, body mass index (BMI) and self-identified racial/ethnic group. We determined associations between patient and tumour characteristics using contingency tables and multivariate logistic regression. RESULTS: 415 cases were identified. Patients were racially and ethnically diverse (born in 44 countries, 36% white, 43% black, 10% Hispanic and 11% other). 47% were obese (BMI > 30 kg/m2). 72% of tumours were ER+ and/or PR+, 20% were Tneg and 13% were HER2+. The odds of having a Tneg tumour were 3-fold higher (95% CI 1.6, 5.5; p = 0.0001) in black compared with white women. Tneg tumours were equally common in black women diagnosed before and after age 50 (31% vs 29%; p = NS), and who were obese and non-obese (29% vs 31%; p = NS). Considering all patients, as BMI increased, the proportion of Tneg tumours decreased (p = 0.08). CONCLUSIONS: Black women of diverse background have 3-fold more Tneg tumours than non-black women, regardless of age and BMI. Other factors must determine tumour subtype. The higher prevalence of Tneg tumours in black women in all age and weight categories likely contributes to black women's unfavorable breast cancer prognosis.

Transcription factor YY1 expression in human gastrointestinal cancer cells.

Over-expression of the multifunctional zinc-finger transcription factor Yin Yang 1 (YY1) has been associated with cellular proliferation and resistance to apoptotic stimuli. In this study, we report that YY1 was uniformly highly over-expressed in a wide range of human cancer cell lines and in human colon cancer tissue samples. The examination of YY1-specific mRNA expression demonstrated at least six mRNA isoforms ubiquitously expressed in normal human adult and fetal tissues. Substantial over-expression of two specific mRNA isoforms of 7.5 and 2.9 kb size, respectively, was detected in gastrointestinal and other cancer cells in vitro, whereby mRNA stability differed significantly between various cell lines. YY1 protein expression levels were similar in different colon cancer cell lines. Using FISH analysis of several colorectal cancer cell lines, the human YY1 locus was expectedly identified on chromosome 14q32 and no evidence of gene amplification and chromosomal translocation was observed. However, varying degree of aneuploidy was noted in vitro. YY1 immunoreactivity in human colon tumor samples was found more intense in poorly differentiated tumors than in moderately and well differentiated colon cancers and lower expression levels tended to be associated with shorter survival. In conclusion, YY1 was over-expressed in colon cancer in the absence of gene amplification and chromosomal translocation. YY1 mRNA and protein stability are important regulatory mechanisms of YY1 expression in colon cancer.

Chronic Cough and Bilateral Pneumothoraces in a Nonsmoker.

An 82-year-old Japanese nonsmoking man presented with persistent dry cough and small left apical pneumothorax. High resolution CT scan of the chest demonstrated bilateral upper lobe pleuroparenchymal thickening and architectural distortion. Serial imaging revealed mild progression and development of small bilateral pneumothoraces, and pneumomediastinum. A surgical lung biopsy was required to confirm the diagnosis.