Characterising a syndemic among black women at risk for HIV: the role of sociostructural inequity and adverse childhood experiences.

Objectives Black women disproportionately experience STIs (including HIV/AIDS), gender-based violence, substance misuse and mental health conditions. Addressing a gap in syndemic research, we characterised comorbidity overlap within the context of sociostructural inequities and adverse childhood experiences (ACEs) among black women in Baltimore, Maryland. Methods Between 2015 and 2018, black women (n=305) were recruited from STI clinics in Baltimore, Maryland. Among those with complete survey data (n=230), we conducted a latent class analysis to differentiate women based on their profile of the following syndemic comorbidities: STIs, adult sexual victimisation, substance misuse and mental health disorders. We then examined the association between ACEs and syndemic latent class membership. Results Thirty-three percent of women experienced three to nine ACEs before age 18 years, and 44% reported four to six comorbidities. The two-class latent class solution demonstrated the best fit model, and women were categorised in either class 1 (past-year STI; 59%) or class 2 (syndemic comorbidities; 41%). Women in class 2 were more likely to report unstable housing (10% vs 3%) and identify as bisexual/gay (22% vs 10%) than women in class 1. ACEs were significantly associated with an increased likelihood of class 2 membership. Conclusions This study reinforces the importance of screening for ACEs and offering trauma-informed, integrated care for black women with syndemic comorbidities. It also highlights the critical nature of tailoring interventions to improve sociostructural equity, preventing and reducing syndemic development.

Cumulative Lifetime Violence and Bacterial Vaginosis Infection in Sexually Transmitted Infections: Findings From a Retrospective Cohort Study Among Black Women at Risk for HIV.

Introduction: Bacterial vaginosis is the most common vaginal condition among women of reproductive age and has been associated with sexually transmitted infections. This study examines the association between cumulative lifetime violence exposure, bacterial vaginosis, and sexually transmitted infections among Black women at risk for HIV. Methods: HIV-negative Black women in a retrospective cohort study (N=230) completed survey questions on cumulative violence (exposure to sexual or physical abuse before age 18 years and exposure to intimate partner violence or sexual violence [partner or other] after age 18 years and past year), bacterial vaginosis (lifetime and past year), and sexually transmitted infection diagnosis (lifetime and past year). Logistic regression models estimated the associations between cumulative violence, bacterial vaginosis, and sexually transmitted infections. Bacterial vaginosis was examined as a moderator in the association between cumulative violence and sexually transmitted infections. Results: Many women reported cumulative violence exposure (40%), lifetime bacterial vaginosis diagnosis (53%), and lifetime sexually transmitted infection diagnosis (73%). Cumulative violence experience was significantly associated with increased adjusted odds of lifetime bacterial vaginosis diagnosis (AOR=1.98; 95% CI=1.10, 3.54). Lifetime bacterial vaginosis diagnosis (AOR=2.76; 95% CI=1.45, 5.22) and past-year bacterial vaginosis diagnosis (AOR=2.16; 95% CI=1.14, 4.10) were significantly associated with increased odds of lifetime sexually transmitted infection diagnosis. Lifetime bacterial vaginosis diagnosis (AOR=2.10; 95% CI=1.19, 3.70) and past-year bacterial vaginosis diagnosis (AOR=3.00; 95% CI=1.70, 5.31) were significantly associated with past-year sexually transmitted infection diagnosis. Lifetime bacterial vaginosis infection significantly increased the odds of lifetime sexually transmitted infection diagnosis with increasing cumulative violence exposure. Conclusions: Our findings support educating and screening Black women who experience cumulative violence for bacterial vaginosis to reduce the risk of untreated bacterial vaginosis and sexually transmitted infections.

Universal Digital High-Resolution Melt Analysis for the Diagnosis of Bacteremia.

Fast and accurate diagnosis of bloodstream infection is necessary to inform treatment decisions for septic patients, who face hourly increases in mortality risk. Blood culture remains the gold standard test but typically requires approximately 15 hours to detect the presence of a pathogen. We, therefore, assessed the potential for universal digital high-resolution melt (U-dHRM) analysis to accomplish faster broad-based bacterial detection, load quantification, and species-level identification directly from whole blood. Analytical validation studies demonstrated strong agreement between U-dHRM load measurement and quantitative blood culture, indicating that U-dHRM detection is highly specific to intact organisms. In a pilot clinical study of 17 whole blood samples from pediatric patients undergoing simultaneous blood culture testing, U-dHRM achieved 100% concordance when compared with blood culture and 88% concordance when compared with clinical adjudication. Moreover, U-dHRM identified the causative pathogen to the species level in all cases where the organism was represented in the melt curve database. These results were achieved with a 1-mL sample input and sample-to-answer time of 6 hours. Overall, this pilot study suggests that U-dHRM may be a promising method to address the challenges of quickly and accurately diagnosing a bloodstream infection.

Adequacy of cytology and small biopsy samples obtained with rapid onsite evaluation (ROSE) for predictive biomarker testing in non-small cell lung cancer.

Complete biomarker workup of non-small cell lung cancer (NSCLC) specimens is essential for appropriate and timely clinical management decisions. This can be challenging to achieve from small cytology and histology specimens, with increasing numbers of molecular and immunohistochemical biomarkers required. We conducted a 5 year retrospective audit of cases at our institution to assess the diagnostic and biomarker testing adequacy rates, particularly those specimens obtained with rapid onsite evaluation (ROSE), performed by a cytopathologist and a cytology scientist or pathology trainee, including all endobronchial ultrasound guided transbronchial needle aspirations (EBUS-TBNA), CT guided lung fine needle aspirations (FNA) and CT guided lung core biopsies. A total of 5,354 cases were identified, of which 92.2% had sufficient material for diagnosis. Of the 1506 cases identified with a recorded diagnosis of lung adenocarcinoma or NSCLC, not otherwise specified, 1001 (66.5%) had biomarker testing requested. Sufficient material was available in 89.5% of cases for a complete biomarker workup which included EGFR and KRAS mutational testing (all cases), ALK, ROS1 and PD-L1 immunohistochemistry (all cases), and ALK and ROS1 FISH (as required). For EGFR and KRAS mutational testing across both cytology and histology specimens, 99% of cases were sufficient. Of the samples in which a complete biomarker workup was unable to be performed, approximately half were only insufficient due to inadequate numbers of tumour cells for PD-L1 immunohistochemistry. Excluding PD-L1 IHC, 952 (95.1%) of samples obtained with ROSE were sufficient for the remainder of the testing requirements. Next generation sequencing using a 33 gene custom AmpliSeq panel was achieved in up to 72% of cases. In conclusion, small cytology and histology specimens obtained with ROSE are suitable for predictive biomarker testing in NSCLC, although attention needs to be paid to obtaining sufficient cells (>100) for PD-L1 immunohistochemistry.

Universal digital high resolution melt analysis for the diagnosis of bacteremia.

Fast and accurate diagnosis of bloodstream infection is necessary to inform treatment decisions for septic patients, who face hourly increases in mortality risk. Blood culture remains the gold standard test but typically requires ∼15 hours to detect the presence of a pathogen. Here, we assess the potential for universal digital high-resolution melt (U-dHRM) analysis to accomplish faster broad-based bacterial detection, load quantification, and species-level identification directly from whole blood. Analytical validation studies demonstrated strong agreement between U-dHRM load measurement and quantitative blood culture, indicating that U-dHRM detection is highly specific to intact organisms. In a pilot clinical study of 21 whole blood samples from pediatric patients undergoing simultaneous blood culture testing, U-dHRM achieved 100% concordance when compared with blood culture and 90.5% concordance when compared with clinical adjudication. Moreover, U-dHRM identified the causative pathogen to the species level in all cases where the organism was represented in the melt curve database. These results were achieved with a 1 mL sample input and sample-to-answer time of 6 hrs. Overall, this pilot study suggests that U-dHRM may be a promising method to address the challenges of quickly and accurately diagnosing a bloodstream infection. Universal digital high resolution melt analysis for the diagnosis of bacteremia: April Aralar, Tyler Goshia, Nanda Ramchandar, Shelley M. Lawrence, Aparajita Karmakar, Ankit Sharma, Mridu Sinha, David Pride, Peiting Kuo, Khrissa Lecrone, Megan Chiu, Karen Mestan, Eniko Sajti, Michelle Vanderpool, Sarah Lazar, Melanie Crabtree, Yordanos Tesfai, Stephanie I. Fraley.

Cutaneous intravascular anaplastic large T-cell lymphoma: a case report and review of the literature.

Intravascular lymphoma (IVL) is a rare subtype of extranodal lymphoma. In the 2008 WHO classification of tumors of the hematopoietic and lymphoid tissues intravascular large B-cell lymphoma is included as a distinct entity. IVL of T-cell type is not included as a diagnostic category and is only mentioned in passing by Nakamura et al. as "a different entity" in their discussion of intravascular large B-cell lymphoma. T-cell IVL is rare, the majority of cases being of natural killer/T-cell phenotype. Exceptionally rare is primary cutaneous intravascular anaplastic large T-cell lymphoma. We present such a case in an otherwise well 39-year-old female having disease limited to the skin established after detailed staging investigations. This is only the third such case described in the literature. We report the clinicopathological features of this case and also review previously documented cases of cutaneous intravascular anaplastic large cell lymphoma.

Detection of Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma: Comparing Cobas 4800 EGFR Assay With Sanger Bidirectional Sequencing.

INTRODUCTION: Accurate detection of epidermal growth factor receptor (EGFR) mutations has a crucial role in the current treatment of patients with lung adenocarcinoma, and identification of clinically relevant mutations would qualify patients for treatment with tyrosine kinase inhibitors. Historically, Sanger sequencing has been used as the reference standard assay for EGFR mutational analysis; however, Cobas 4800 is a relatively new method. In the present study, we compared the performance of the Cobas assay against that of Sanger sequencing. MATERIALS AND METHODS: A total of 493 consecutive formalin-fixed paraffin-embedded samples of lung adenocarcinoma were simultaneously tested for EGFR mutations using both methods. RESULTS: After exclusion of the invalid results (n = 19), 474 samples from 455 patients were analyzed. The Cobas assay showed a mutation detection rate comparable to that of Sanger sequencing (18.1% vs. 17.9%, respectively; P < .05). Excellent agreement of 98.9% (κ, 0.964) was observed between the 2 methods. CONCLUSION: The Cobas assay is a fast and diagnostically robust platform with high analytical sensitivity; however, it is limited by its detection range and low tolerance to low DNA quality. Sanger sequencing is mostly affected by its lower analytic sensitivity. Ultimately, a dual testing strategy will be justified to increase the detection of novel mutations and reduce the false-negative results within an acceptable turnaround time.

Interactions between acute lymphoblastic leukemia and bone marrow stromal cells influence response to therapy.

The cure rate for pediatric patients with B precursor acute lymphoblastic leukemia (pre-B ALL) is steadily improving, however relapses do occur despite initial response to therapy. To identify links between drug resistance and gene deregulation we used oligonucleotide microarray technology and determined in 184 pre-B ALL specimen genes differentially expressed compared to normal CD34(+) specimens. We identified 20 signature genes including CTGF, BMP-2, CXCR4 and IL7R, documented to regulate interactions in the bone marrow. We recorded remarkably similar levels of expression in three independent patient cohorts, and found distinct patterns in cytogenetically defined subgroups of pre-B ALL. The canonical pathways that were affected are involved in inter- and intra-cellular communication, regulating signaling within the microenvironment. We tested experimentally whether interaction with stromal cells conferred protection to four drugs used in current ALL therapy, and demonstrated that bone marrow stromal cells significantly influenced resistance to vincristine and cytosine arabinoside. Compounds designed to block the identified cellular interactions within the bone marrow microenvironment are expected to mobilise the leukemic cells and make them more accessible to contemporary antileukemic agents. The data provide novel insight into the pathobiology of ALL and indicate new therapeutic targets for patients with ALL.