Project description:AbstractThis study examined changes in psychotropic medication use associated with the early months of the coronavirus disease 2019 (COVID-19) pandemic. Using Kaiser Permanente Northern California electronic health records, the authors identified adult patients with fills for psychotropic medications and a non-psychotropic comparator (statins) in the 13 weeks before and after the first-known COVID-19-related death in California (March 4, 2020). Generalized estimating equations were used to derive relative risk ratios (RRR) for medication fills compared with the prior year. Analyses were stratified by new and continued fills and patient characteristics. Among 2,405,824 patients, the mean (SD) age was 49.8 (17.9) years; 52.9% were female; 47.9% identified as White; 8.0% and 7.9% had anxiety and depression disorder diagnoses, respectively. Accounting for secular trends, in the 13 weeks following March 4, 2020, there were increased fills for trazodone (RRR = 1.03, 95% CI = 1.02, 1.04), decreased fills for benzodiazepines (RRR = 0.95, 95% CI = 0.94, 0.96) and hypnotics (RRR = 0.97, 95% CI = 0.96, 0.99), and stable fills for antidepressants (RRR = 1.00, 95% CI = 0.99, 1.00). Relative rates of new fills decreased across most medication classes and continued fills either remained stable or demonstrated non-clinically significant decreases. Patients aged ≥65 years demonstrated decreased fills for most medication classes. In the first 13 weeks of the COVID-19 pandemic, fills for most psychotropic medications remained constant or showed small changes relative to the previous year. Continued (compared with new) fills accounted for observed increases in some medication classes. Older adults demonstrated decreased fills of most medications.
Project description:ObjectiveTo describe patterns of medication use-that is, dexamethasone; remdesivir; and tocilizumab-in the management of patients hospitalised with COVID-19.Design and settingRetrospective observational study, using routinely collected, linked electronic data from clinical practice in Scotland. Data on drug exposure in secondary care has been obtained from the Hospital Electronic Prescribing and Medicines Administration System.ParticipantsPatients being treated with the drugs of interest and hospitalised for COVID-19 between 1 March 2020 and 10 November 2021.OutcomesIdentification of patients subject to the treatments of interest; summary of patients' baseline characteristics; description of medication use patterns and treatment episodes. Analyses were descriptive in nature.ResultsOverall, 4063 patients matching the inclusion criteria were identified in Scotland, with a median (IQR) age of 64 years (52-76). Among all patients, 81.4% (n=3307) and 17.8% (n=725) were treated with one or two medicines, respectively; dexamethasone monotherapy accounted for the majority (n=3094, 76.2%) followed by dexamethasone in combination with tocilizumab (n=530, 13.0%). Treatment patterns were variable over time but roughly followed the waves of COVID-19 infections; however, the different drugs were used to varying degrees during the study period.The median (IQR) treatment duration differed by medicine: dexamethasone 5 days (2-9); remdesivir 5 days (2-5); and tocilizumab 1 day (1-1). The overall median (IQR) length of hospital stay among all patients included in the study cohort was 9 days (5-17); 24.7% of patients died in hospital.ConclusionThe use of adjuvant medicines in patients hospitalised with COVID-19 appears in line with evolving evidence and changing treatment guidelines. In-hospital electronic prescribing systems are a valuable source of information, providing detailed patient-level data on in-hospital drug use.
Project description:Coronavirus disease 2019 (COVID-19) can be asymptomatic or lead to a wide spectrum of symptoms, ranging from mild upper respiratory system involvement to acute respiratory distress syndrome, multi-organ damage and death. In this study, we explored the potential of microRNAs (miRNA) in delineating patient condition and in predicting clinical outcome. Analysis of the circulating miRNA profile of COVID-19 patients, sampled at different hospitalization intervals after admission, allowed to identify miR-144-3p as a dynamically regulated miRNA in response to COVID-19.
Project description:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.