Sickle cell disease and coronavirus disease-2019 (COVID-19) infection: a single-center experience.

PURPOSE: Sickle cell disease (SCD) has been found to be associated with an increased risk of hospitalization and death from coronavirus disease-2019 (COVID-19). We sought to study clinical outcomes in patients with SCD and a diagnosis of COVID-19 infection. METHODS: We conducted a retrospective analysis of adult patients (>18 years) with SCD who were diagnosed with COVID-19 infection between 1 March 2020 and 31 March 2021. Data on baseline characteristics and overall outcomes were collected and analyzed using SAS 9.4 for Windows. RESULTS: A total of 51 patients with SCD were diagnosed with COVID-19 infection in the study period, out of which 39.3% were diagnosed and managed in the outpatient setting/emergency room (ER) and 60.3% in the inpatient setting. Disease-modifying therapy such as hydroxyurea did not impact inpatient vs outpatient/ER management (P > 0.05). Only 5.71% (n = 2) required intensive care unit admission and were mechanically ventilated and 3.9% (2 patients) died of complications of COVID-19 infection. CONCLUSION: We identified a lower mortality (3.9%) rate among patients in our cohort in comparison to previous studies and a higher burden of inpatient hospitalizations as compared to outpatient/ER management. Further prospective data are needed to validate these findings. Key messages What is already known on this topic COVID-19 has been shown to have a disproportionately unfavorable impact on African Americans, including longer hospital stays, higher rates of ventilator dependence, and a higher overall mortality rate. Limited data also suggest that sickle cell disease (SCD) is associated with an increased risk of hospitalization and death from COVID-19. What this study adds Our analysis did not show a higher mortality due to COVID-19 in patients with SCD. However, we identified a high burden of inpatient hospitalizations in this population. COVID-19-related outcomes did not improve with the use of disease-modifying therapies. How this study might affect research, practice, or policy These results will aid in decision making for triage of patients with COVID-19 and SCD and ensure the most appropriate use of healthcare resources. Our analysis underscores the need for more robust data to identify patients at higher risk of severe disease and/or mortality, necessitating inpatient hospitalization and aggressive management.

Real-world Data of Leukopenia Evaluation as Seen in a Community Academic Center.

Leukopenia on routine laboratory testing creates a concerning situation for primary care providers due to its association with hematological malignancies. Although not all leukopenia is due to underlying cancer, it can trigger an expensive and exhausting work-up in the process of ruling it out. There is neither real-world data on the prevalent causes of leukopenia as seen in the community nor definitive guidelines on the utilization of flow-cytometry in this setting. We conducted this retrospective study at our community academic center to demonstrate the distribution of various causes of leukopenia as well as the utility of flow-cytometry. Our study demonstrates that benign reversible causes of leukopenia are most prevalent and flow-cytometry is useful only in some very specific settings. These results provide a real-world estimate for clinicians to make informed decisions while evaluating leukopenia.

A Case of Aplastic Anemia and Colon Cancer With Underlying Spliceosome Mutation: Is It an Incidental Finding or a Novel Association?

Alternative splicing is an epigenetic mechanism that plays a role in the development and function of antigen-specific lymphocytes. One such is the zinc-finger-RNA-binding-motif-and-serine/arginine-rich-2 (ZRSR2), which is clinically implicated in myelodysplastic syndrome and leukemia. Here, we present a case of a young male with myriad autoimmune conditions and adenocarcinoma of the colon in the setting of ZRSR2 mutation. A 28-year-old male with common variable immunodeficiency disease, atopic dermatitis, autoimmune gastroenteropathy, inflammatory polyarthropathy, primary bone marrow failure, colon cancer, and family history of Lynch syndrome was admitted to our hospital for an acute flare of autoimmune enteropathy secondary to subtherapeutic tacrolimus levels. He initially developed pancytopenia at the age of 26 years. Workup for HIV, hepatitis, cytomegalovirus, human-herpesvirus 6, parvovirus was negative. Partial thromboplastin time (PTT), international normalized ratio (INR), d-dimer, ferritin, iron profile, antinuclear antibodies (ANA) screen was unremarkable. Direct, indirect, and super-combs antibodies were undetectable. Chromosomal study for Fanconi-related chromosomal breakage and telomerase gene panel was negative. Flow cytometry did not reveal an abnormal clone. Bone marrow biopsy showed markedly hypocellular marrow with reduced trilineage hematopoiesis and 1% blasts with normal cytogenetics, immunohistochemistry, fluorescence in situ hybridization (FISH), and negative for myelodysplastic syndrome and paroxysmal nocturnal hemoglobinuria (PNH). Cincinnati inherited children's bone marrow transplant (BMT) panel was negative. He was diagnosed with aplastic anemia and was treated with antithymocyte globulin, cyclosporine, prednisone, and currently tacrolimus. At the age of 26 years, he was diagnosed with colon cancer. Immunohistochemistry was positive for MLH1, but the confirmatory genetic testing for Lynch syndrome was negative. He underwent total proctocolectomy and ileostomy and is currently in remission. Next-generation sequencing of bone marrow revealed a germline homozygous ZRSR2 mutation.  ZRSR2 spliceosome mutations are more common in males as it's an X-linked gene. They are seen in myelodysplastic syndrome, leukemia, increased autoimmune phenomenon, and 35 cases of colon cancer associated with this mutation are reported. In the setting of aplastic anemia and lynch negative colon cancer, we suspect our patient could have aplastic anemia due to an autoimmune phenomenon, underlying common variable immunodeficiency disease (CVID), or the new ZRSR2 mutation could be playing a role. Further studies and research is warranted to determine its true association with the disease entities. The underlying contributing factor is ZRSR2 mutation.

Do the 2013 United States Preventive Services Task Force guidelines for lung cancer screening fail high-risk African American smokers? An institutional retrospective observational cohort study.

BACKGROUND: Lung cancer cause nearly 1.76 million deaths worldwide in 2018. In 2011, the National-Lung-Cancer-Screening-Trial showed 20% relative risk reduction with LDCT and subsequently led to the current USPSTF screening guidelines. However, the predominant focus on elderly, Caucasian questions its generalizability to communities with young, African Americans such as our institution. Hence, the objective of our study is to investigate the need to modify the current screening guidelines at our institution by assessing the applicability of newer individual risk-based prediction models for LDCT screening. METHODS: This is a retrospective observational cohort study of newly diagnosed lung cancer patients at LSU Health Sciences Center Shreveport from 2011 to 2015. One-third of the patients did not meet the current USPSTF screening guidelines. We categorized them into high-risk (groups1 and 2), moderate-risk, and low-risk according to 2018 NCCN Lung Cancer Screening Guidelines Version 1.2020. The high-risk groups were differentiated using the Tammemagi lung cancer risk calculator. RESULTS: Among those who did not meet the screening guidelines, nearly 50% were African American, 95% with known smoking history, and 80% diagnosed at advanced stage at the time of diagnosis. After employing the Tammemagi Risk based calculator, 12.5% were categorized into high-risk group 2, who are also eligible for annual LDCT. CONCLUSION: The current USPSTF guidelines have failed in our population consisting of young African American smokers, questioning the health disparity in medicine. By employing individual risk-based prediction models, we could potentially identify tailored high-risk populations leading to appropriate use of LDCT screening.