ABSTRACT
Background/Purpose: Pediatric Acute Lymphoblastic Leukemia (ALL) affects ~4000 young Americans each year. Steroids are essential to curative ALL treatment yet have significant neuropsychiatric side effects that decrease quality of life for patients and families. However, incidence and predisposing risk factors are not well understood. This review aims to describe the current literature on neuropsychiatric side effects of steroids in Pediatric ALL. Method(s): A precise search in PubMed and Embase was cultivated using controlled vocabulary terms (MeSH, Emtree) and keywords for the following concepts: pediatrics, steroids, side effects, cancer, and neurobehavioral manifestations. Keywords and controlled vocabulary for each subject were arranged logically and combined with other concepts by Boolean Logic, using the Boolean operator AND, resulting in 642 precise results exploring neurobehavioral side effects of steroids in children with cancer. Results (2010 to date of search) were imported into Covidence systematic review software, and reviewed by SB and AM. Result(s): Twenty-three articles met inclusion criteria. There is marked variability in research methodology and no standard measurement of neuropsychiatric symptoms. Commonly reported symptoms include mood swings, irritability, depression, anxiety, aggression, insomnia, mania, and psychosis with prevalence between 5% and 75%. Heterogeneous research methodology and descriptions of psychiatric symptoms make it difficult to determine risk factors, though dexamethasone, family psychiatric history, and younger age are consistently associated with greater risk of behavioral dysregulation. Genetic predisposition (Bcl1 polymorphism, SNPs in GR gene) may increase susceptibility to developing depression during treatment. Data suggest variable efficacy of antipsychotics, benzodiazepines, hydrocortisone, and potassium-chloride. Conclusions and Implications: Existing data about neuropsychiatric side effects of steroids in pediatric ALL is extremely heterogeneous, creating challenges for standardized assessment and treatment. The burden of these symptoms necessitates further research to identify and treat vulnerable patients. Standard measurement of these symptoms could be a first step in eventually alleviating this source of distress.
ABSTRACT
Background The coronavirus disease 2019 (COVID-19) pandemic has been a worldwide stress test for health systems. 2 years have elapsed since the description of the first cases of pneumonia of unknown origin. This study quantifies the impact of COVID-19 in the screening program of chronic viral infections such as human papillomavirus (HPV), human immunodeficiency virus (HIV), and hepatitis C virus (HCV) along the six different pandemic waves in our population. Each wave had particular epidemiological, biological, or clinical patterns. Methods We analyzed the number of samples for screening of these viruses from March 2020 to February 2022, the new infections detected in the pandemic period compared to the previous year, the time elapsed between diagnosis and linking to treatment and follow-up of patients, and the percentage of late HIV diagnosis. Moreover, we used the origin of the samples as a marker for quantifying the restoration of activity in primary care. Results During the first pandemic year, the number of samples received was reduced by 26.7, 22.6, and 22.5% for molecular detection of HPV or serological HCV and HIV status respectively. The highest decrease was observed during the first wave with 70, 40, and 26.7% for HPV, HCV, and HIV. As expected, new diagnoses also decreased by 35.4, 58.2, and 40.5% for HPV, HCV, and HIV respectively during the first year of the pandemic. In the second year of the pandemic, the number of samples remained below pre-pandemic period levels for HCV (−3.6%) and HIV (−9.3%) but was slightly higher for HPV (8.0%). The new diagnoses in the second year of the pandemic were −16.1, −46.8, and −18.6% for HPV, HCV, and HIV respectively. Conclusions Undoubtedly, an important number of new HPV, HCV, and HIV infections were lost during the COVID-19 pandemic, and surveillance programs were disrupted as a consequence of collapse of the health system. It is a priority to reinforce these surveillance programs as soon as possible in order to detect undiagnosed cases before the associated morbidity-mortality increases. New pandemic waves could increase the risk of reversing the achievements made over the last few decades.