HER2 Positive and HER2 Negative Classical Type Invasive Lobular Carcinomas: Comparison of Clinicopathologic Features

Human epidermal growth factor receptor 2 (HER2) positive (+) classical type invasive lobular carcinoma (cILC) of the breast is extremely rare and its clinicopathologic features have not been well characterized. We compared features of HER2(+) and HER2 negative (−) cILCs. A total of 29 cases were identified from the clinical database at our institution from 2011-2019; 9 were HER2(+) cILC tumors and 20 were HER2(−) cILC tumors. The results reveal that HER2(+) cILC group had significantly increased Ki-67 expression and reduced estrogen receptor (ER) expression compared to HER2(−) cILC group (both p < 0.05). In addition, HER2(+) cILCs tended to be diagnosed at a younger age and more common in the left breast, and appeared to have a higher frequency of nodal or distant metastases. These clinicopathologic features suggest HER2(+) cILC tumors may have more aggressive behavior than their HER2(−) counterpart although both groups of tumors showed similar morphologic features. Future directions of the study: (1) To conduct a multi-institutional study with a larger case series of HER2(+) cILC to further characterize its clinicopathologic features; (2) to compare molecular profiles by next generation sequencing (NGS) assay between HER2(+) cILC and HER2(−) cILC cases to better understand tumor biology of this rare subset of HER2(+) breast cancer; and (3) to compare molecular characteristics of HER2(+) cILC and HER2(+) high grade breast cancer in conjunction with status of tumor response to anti-HER2 therapy to provide insight to management of this special type of low grade breast cancer to avoid unnecessary treatment and related toxicit

Hematologic Complications in Patients Hospitalized with COVID-19 Infection

Introduction: This review summarizes data from patients with COVID-19 requiring intensive care unit (ICU) admission. The goals of this study are to showcase some morphological anomalies found in peripheral blood smears from COVID-19 patients and to bring attention to how some hematologic abnormalities in COVID-19 that correspond to disease severity and mortality. Methods: We performed a retrospective analysis of hematologic parameters using peripheral blood smear analysis from 31 COVID-19 patients hospitalized between April 2021 and January 2022. Results: We found abnormal morphology that has not been previously reported. We also report that severe lymphopenia, neutrophilia, acute hemolysis, hematologic malignancies, and increased LDH are associated with ICU admissions, respiratory failure requiring intubation, and poor clinical outcome. Conclusion: We propose these recommendations in the management of COVID-19 patients: 1. Early diagnosis and follow-up of DIC; 2. Optimization of thromboprophylaxis regimen

Searching Full-Text Anatomic Pathology Reports Using Business Intelligence Software

Although the laboratory information system has largely solved the problem of storing anatomic pathology reports and disseminating their contents across the healthcare system, the retrospective query of anatomic pathology reports remains an area for improvement across laboratory information system vendors. Our institution desired the ability to query our repository of anatomic pathology reports for clinical, operational, research, and educational purposes. To address this need, we developed a full-text anatomic pathology search tool using the business intelligence software, Tableau. Our search tool allows users to query the 333,685 anatomic pathology reports from our institutional clinical relational database using the business intelligence tool’s built-in regular expression functionality. Users securely access the search tool using any web browser, thereby avoiding the cost of installing or maintaining software on users’ computers. This tool is laboratory information system vendor agnostic and as many institutions already subscribe to business intelligence software, we believe this solution could be easily reproduced at other institutions and in other clinical departments

Expanding COVID-19 Vaccine Availability: Role for Combined Orthogonal Serology Testing (COST)

Background: The persisting Coronavirus disease 2019 (COVID-19) pandemic and limited vaccine supply has led to a shift in global health priorities to expand vaccine coverage. Relying on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) molecular testing alone cannot reveal the infection proportion, which could play a critical role in vaccination prioritization. We evaluated the utility of a combination orthogonal serological testing (COST) algorithm alongside RT-PCR to quantify prevalence with the aim of identifying candidate patient clusters to receive single and/or delayed vaccination. Methods: We utilized 108,505 patients with suspected COVID-19 in a retrospective analysis of SARS-CoV-2 RT-PCR vs. IgG-nucleocapsid (IgGNC) antibody testing coverage in routine practice for the estimation of prevalence. Prospectively, an independent cohort of 21,388 subjects was simultaneously tested by SARS-CoV-2 RT-PCR and IgGNC to determine the prevalence. We used 614 prospective study subjects to assess the utility of COST (IgGNC, IgM-spike (IgMSP), and IgG-spike (IgGSP)) in establishing the infection proportion to identify a single-dose vaccination cohort. Results: Retrospectively, we observed a 6.3% (6871/108,505) positivity for SARS-CoV-2 RT-PCR, and only 2.3% (2533/108,505) of cases had paired IgGNC serology performed. Prospectively, IgGNC serology identified twice the number of COVID-positive cases in relation to RT-PCR alone. COST further increased the number of detected positive cases: IgGNC+ or IgMSP+ (18.0%); IgGNC+ or IgGSP+ (23.5%); IgMSP+ or IgGSP+ (23.8%); and IgGNC+ or IgMSP+ or IgGSP+ (141/584 = 24.1%). Conclusion: COST may be an effective tool for the evaluation of infection proportion and thus could define a cohort for a single dose and/or delayed vaccination

Paging the Clinical Informatics Community: Respond STAT to Dobbs v Jackson's Women's Health Organization

If the coronavirus disease 2019 (COVID-19) pandemic was a wake-up call that clinical informatics and digital health play vital roles in our future, the 2022 U.S. Supreme Court ruling in Dobbs v. Jackson Women's Health Organization (Dobbs)[1] is a blaring alarm. Dobbs, which overturned Roe v Wade and Planned Parenthood v. Casey, allows states to individually regulate access to abortion. This ruling has triggered the enforcement of existing state laws that ban or restrict abortion and efforts to pass similar new laws