Platelet distribution width (PDW) as a significant correlate of COVID-19 infection severity and mortality.

SARS-CoV-2 infection may cause a wide spectrum of symptoms, from asymptomatic, to mild respiratory symptoms and life-threatening sepsis. Among the clinical laboratory biomarkers analyzed during COVID-19 pandemic, platelet indices have raised great interest, due to the critical involvement of platelets in COVID-19-related thromboinflammation. Through an electronic literature search on MEDLINE, CINAHL, PubMed, EMBASE, Web of Science, and preprint servers we performed and updated a systematic review aimed at providing a detailed analysis of studies addressing the potential clinical utility of platelet distribution width, platelet distribution width (PDW), in laboratory medicine, exploring the possible association between increased PDW levels, disease severity, and mortality in COVID-19. Our systematic review revealed a wide heterogeneity of COVID-19 cohorts examined and a lack of homogenous expression of platelet indices. We found that 75 % of studies reported significantly elevated PDW values in COVID-19 infected cohorts compared to healthy/non-COVID-19 controls, and 40 % of studies reported that patients with severe COVID-19 showed increased PDW values than those with less-than-severe illness. Interestingly, 71.4 % of studies demonstrated significant increased PDW values in non survivors vs. survivors. Overall, these results suggest that platelets are critically involved as major players in the process of immunothrombosis in COVID-19, and platelet reactivity and morphofunctional alterations are mirrored by PDW, as indicator of platelet heterogeneity. Our results confirm that the use of PDW as prognostic biomarkers of COVID-19 sepsis still remains debated due to the limited number of studies to draw a conclusion, but new opportunities to investigate the crucial role of platelets in thrombo-inflammation are warranted.

Socioeconomic differences between medically and surgically treated prolactinomas: a retrospective review of 598 patients.

OBJECTIVE: Socioeconomic status (SES) is known to affect presentations and outcomes in pituitary neuroendocrine tumor resections, but there is a paucity of literature examining its impact specifically on patients with prolactinomas, who may be treated medically or surgically. The authors sought to determine whether SES was associated with differences in treatment choice or outcomes for prolactinoma patients. METHODS: The authors retrospectively reviewed patient records at a high-volume academic pituitary center for prolactinoma diagnoses. Patients were split into medically and surgically treated cohorts. Race, ethnicity, insurance status, primary care physician (PCP) status, and zip code-based income data were collected and examined as socioeconomic covariates. Outcomes of interest included pretreatment likelihood of surgical cure, medical versus surgical treatment allocation, and posttreatment remission rates. RESULTS: The authors analyzed 568 prolactinoma patients (351 medically treated and 217 surgically treated). Patients receiving surgery were more likely to have Medicaid or private insurance (p < 0.001) and have lower incomes (p < 0.001) than medically treated patients. Lower-income surgical patients were more likely to require surgical intervention for an indication such as tumor decompression than higher-income patients (p = 0.023). Surgical patients with a PCP had a higher estimated likelihood of surgical cure (p = 0.008), while no SES-based differences in surgical remission likelihood existed in the medical cohort. After surgery, surgical patients who achieved remission had significantly higher income than those who did not (p < 0.001). Other SES factors were not associated with surgical remission, and among medically treated patients, remission rates were not affected by any SES factor. Income was inversely related to prolactinoma size in both cohorts (surgical, p < 0.001; medical, p = 0.005) but was associated more prominently in surgical patients (surgical, -0.65 mm per $10,000; medical, -0.37 mm per $10,000). CONCLUSIONS: While surgical prolactinoma patients were prone to income and PCP-related disparities, no SES disparities were found among medically treated patients. Income had a more pronounced association with tumor size in the surgical cohort and likely contributed to the increased need for surgical intervention seen in low-income surgical patients. Addressing socioeconomic healthcare disparities is needed among surgical prolactinoma patients to increase rates of early presentation and improve the outcomes of low-SES populations.

Infusion reactions to adeno-associated virus (AAV)-based gene therapy: Mechanisms, diagnostics, treatment and review of the literature.

The use of adeno-associated virus (AAV) vectors in gene therapy has demonstrated great potential in treating genetic disorders. However, infusion-associated reactions (IARs) pose a significant challenge to the safety and efficacy of AAV-based gene therapy. This review provides a comprehensive summary of the current understanding of IARs to AAV therapy, including their underlying mechanisms, clinical presentation, and treatment options. Toll-like receptor activation and subsequent production of pro-inflammatory cytokines are associated with IARs, stimulating neutralizing antibodies (Nabs) and T-cell responses that interfere with gene therapy. Risk factors for IARs include high titers of pre-existing Nabs, previous exposure to AAV, and specific comorbidities. Clinical presentation ranges from mild flu-like symptoms to severe anaphylaxis and can occur during or after AAV administration. There are no established guidelines for pre- and postadministration tests for AAV therapies, and routine laboratory requests are not standardized. Treatment options include corticosteroids, plasmapheresis, and supportive medications such as antihistamines and acetaminophen, but there is no consensus on the route of administration, dosage, and duration. This review highlights the inadequacy of current treatment regimens for IARs and the need for further research to improve the safety and efficacy of AAV-based gene therapy.

Age, Sex and Previous Comorbidities as Risk Factors Not Associated with SARS-CoV-2 Infection for Long COVID-19: A Systematic Review and Meta-Analysis.

Identification of predictors of long COVID-19 is essential for managing healthcare plans of patients. This systematic literature review and meta-analysis aimed to identify risk factors not associated with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, but rather potentially predictive of the development of long COVID-19. MEDLINE, CINAHL, PubMed, EMBASE, and Web of Science databases, as well as medRxiv and bioRxiv preprint servers were screened through 15 September 2022. Peer-reviewed studies or preprints evaluating potential pre-SARS-CoV-2 infection risk factors for the development of long-lasting symptoms were included. The methodological quality was assessed using the Quality in Prognosis Studies (QUIPSs) tool. Random-effects meta-analyses with calculation of odds ratio (OR) were performed in those risk factors where a homogenous long COVID-19 definition was used. From 1978 studies identified, 37 peer-reviewed studies and one preprint were included. Eighteen articles evaluated age, sixteen articles evaluated sex, and twelve evaluated medical comorbidities as risk factors of long COVID-19. Overall, single studies reported that old age seems to be associated with long COVID-19 symptoms (n = 18); however, the meta-analysis did not reveal an association between old age and long COVID-19 (n = 3; OR 0.86, 95% CI 0.73 to 1.03, p = 0.17). Similarly, single studies revealed that female sex was associated with long COVID-19 symptoms (n = 16); which was confirmed in the meta-analysis (n = 7; OR 1.48, 95% CI 1.17 to 1.86, p = 0.01). Finally, medical comorbidities such as pulmonary disease (n = 4), diabetes (n = 1), obesity (n = 6), and organ transplantation (n = 1) were also identified as potential risk factors for long COVID-19. The risk of bias of most studies (71%, n = 27/38) was moderate or high. In conclusion, pooled evidence did not support an association between advancing age and long COVID-19 but supported that female sex is a risk factor for long COVID-19. Long COVID-19 was also associated with some previous medical comorbidities.