RESUMEN
This meta-analysis of RCTs aimed to determine whether replacing face-to-face hospital care with telemedicine deteriorates psychosocial outcomes of adult cancer patients, in terms of quality of life (QoL), anxiety, distress, and depression. RCTs on interventions aimed at improving patient psychosocial outcomes were excluded. MEDLINE, EmBASE, and PsycInfo were searched on 13 May 2022 without language or date restrictions. In total, 1400 records were identified and 8 RCTs included (4434 subjects). Study methodological quality was moderate. Statistically significant improvements were observed in favor of the intervention for QoL (SMD = 0.22, 95% CI 0.01 to 0.43, p = 0.04), anxiety (SMD = -0.17, 95% CI -0.30 to -0.04, p < 0.01), and global distress (SMD = -0.38, 95% CI -0.51 to -0.25, p < 0.01). A meta-analysis on depression could not be performed. In subgroup analyses, the intervention appeared to be more beneficial for patients receiving active treatment vs. follow-up, for "other cancer types" vs. breast cancer, and for "other modes of administration" vs. telephone. Given the many potential advantages of being assisted at home, telemedicine appears to be a viable option in oncology. However, more research is necessary to determine the types of patients who may benefit the most from these alternative care modalities.
RESUMEN
Evidence shows that a substantial proportion of patients with COVID-19 experiences long-term consequences of the disease, but the predisposing factors are poorly understood. We conducted a systematic review and meta-analysis to identify factors present during COVID-19 hospitalization associated with an increased risk of exhibiting new or persisting symptoms (Post-COVID-19 Syndrome, PCS). MedLine and WebOfScience were last searched on 30 September 2021. We included English language clinical trials and observational studies investigating prognostic factors for PCS in adults previously hospitalized for COVID-19, reporting at least one individual prospective follow-up of minimum 12 weeks. Two authors independently assessed risk of bias, which was judged generally moderate. Risk factors were included in the analysis if their association with PCS was investigated by at least two studies. To summarize the prognostic effect of each factor (or group of factors), odds ratios were estimated using raw data. Overall, 20 articles met the inclusion criteria, involving 13,340 patients. Associations were statistically significant for two factors: female sex with any symptoms (OR 1.52; 95% CI 1.27-1.82), with mental health symptoms (OR 1.67, 95% CI 1.21-2.29) and with fatigue (OR 1.54, 95% CI 1.32-1.79); acute disease severity with respiratory symptoms (OR 1.66, 95% CI 1.03-2.68). The I² statistics tests were calculated to quantify the degree of study heterogeneity. This is the first meta-analysis measuring the association between factors present during COVID-19 hospitalization and long-term sequelae. The role of female sex and acute disease severity as independent prognostic factors must be confirmed in robust longitudinal studies with longer follow-up. Identifying populations at greatest risk for PCS can enable the development of targeted prevention and management strategies. Systematic review registration: PROSPERO CRD42021253467.
RESUMEN
BACKGROUND: Concern is growing about the negative consequences that response measures to the COVID-19 epidemic may have on the management of other medical conditions. METHODS: A retrospective descriptive case-series study conducted at a large University-hospital in northern Italy, an area severely hit by the epidemic. RESULTS: Between 23 February and 14 May 2020, 4160 (52%) COVID-19 and 3778 (48%) non-COVID-19 patients were hospitalized. COVID-19 admissions peaked in the second half of March, a period characterized by an extremely high mortality rate (27.4%). The number of admissions in 2020 was similar to 2019, but COVID-19 patients gradually occupied all available beds. Comparison between COVID-19 and non-COVID-19 admissions in 2020 revealed significant differences concerning all age classes and gender. Specifically, COVID-19 patients were older, predominantly male, and exhibited more comorbidities. Overall, admissions for non-communicable diseases (NCDs) in 2020 vs. 2019 dropped by approximately one third. Statistically significant reductions were observed for acute myocardial infarction (-78, -33.9%), cerebrovascular disease (-235, -41.5%), and cancer (-368, -31.9%). While the first two appeared equally distributed between COVID-19 and non-COVID-19 patients, chronic NCDs were statistically significantly more frequent in the former, except cancer, which was less frequent in COVID-19 patients. CONCLUSIONS: Prevention of collateral damage to patients with other diseases should be an integral part of epidemic response plans. Prospective cohort studies are needed to understand the long-term impact.