Ellegaardnoel0542

23, 95% CI 1.06-1.42, p  less then  0.01) in comparison to early endoscopy.Understanding the effect of the coronavirus disease 2019 (COVID-19) pandemic on students' health and financial stability is important to establish effective interventions to mitigate these effects, which may have long-term consequences on their health and well-being. Public universities in urban centers represent a substantial proportion of college students in the USA. We implemented a cross-sectional population-based online survey of 2282 students in a large, public university in New York City in April 2020. We created weights to account for non-response and used Poisson regression with robust standard errors to estimate adjusted prevalence ratios (aPR) for factors associated with mental health outcomes. Students experienced high rates of anxiety/depression and financial instability due to the pandemic. Half of the students reported anxiety/depression (54.5%) and an increased need for mental health services (49.0%) as a result of the COVID-19 pandemic. The majority (81.1%) reported loss of household income, and half (49.8%) reported worries about losing housing. High levels of food (aPR  = 1.4, 95% CI 1.2, 1.6) and housing (aPR = 1.3, 95% CI 1.2, 1.4) insecurity were the strongest predictors of anxiety/depression. Household and personal experiences with possible COVID-19 symptoms were also associated with anxiety/depression or the need for increased mental health services. Addressing student needs at public urban universities requires an integrated holistic approach that targets urgent mental health and economic needs related to the impact of COVID-19. Students who become infected need mental health services as well as health monitoring.While radiation therapy is increasingly utilized in the treatment paradigm of many solid cancers, the chronic effects of radiation therapies are poorly characterized. Notably, understanding radiation-specific chronic pain syndromes is paramount given that the diagnosis and management of these conditions can serve to prevent long-standing functional impairments, optimize quality of life, and even allow for continued radiotherapy candidacy. These radiation-specific chronic pain phenomena include dermatitis, mucositis, enteritis, connective tissue fibrosis, lymphedema, and neuropathic pain syndromes. It is necessary to maintain a low threshold of suspicion for appropriately diagnosing these conditions as there exists a variance in when these symptoms arise after radiation. However, we present key epidemiological data delineating vulnerable cancer populations for each pain syndrome along with the available evidence for the management for each specific condition.The recent COVID-19 pandemic led to the cancellation of elective surgery across the United Kingdom. Re-establishing elective surgery in a manner that ensures patient and staff safety has been a priority. We report our experience and patient outcomes from setting up a "COVID protected" robotic unit for colorectal and renal surgery that housed both the da Vinci Si (Intuitive, Sunnyvale, CA, USA) and the Versius (CMR Surgical, Cambridge, UK) robotic systems. "COVID protected" robotic surgery was undertaken in a day-surgical unit attached to the main hospital. A standard operating procedure was developed in collaboration with the trust COVID-19 leadership team and adapted to national recommendations. 60 patients underwent elective robotic surgery in the initial 10-weeks of the study. This included 10 colorectal procedures and 50 urology procedures. Median length of stay was 4 days for rectal cancer procedures, 2 days less than prior to the COVID period, and 1 day for renal procedures. There were no instances of in-patient coronavirus transmission. Six rectal cancer patients waited more than 62 days for their surgery because of the initial COVID peak but none had an increase T-stage between pre-operative staging and post-operative histology. Robotic surgery can be undertaken in "COVID protected" units within acute hospitals in a safe way that mitigates the increased risk of undergoing major surgery in the current pandemic. Some benefits were seen such as reduced length of stay for colorectal patients that may be associated with having a dedicated unit for elective robotic surgical services.

To examine the predictive value of the record-based Multidimensional Prognostic Index (MPI) on mortality, readmission and length of hospital stay (LOS) among older medical inpatients.

A cohort of medical inpatients aged ≥ 75years was rated using the record-based MPI to assess frailty retrospectively. 90-day and 1-year mortality hazard ratios (HRs) were calculated in a sex- and age-adjusted Cox proportional hazards model. 30-day readmission relative risk (RR) estimates were calculated in a binary regression model with mortality as a competing risk. Discrimination was expressed by the area under the receiver operating characteristic (ROC) curve. Median LOS was calculated using the non-parametric Kruskal-Wallis one-way ANOVA.

In total, 1190 patients with a median age of 83years were included. 50% were male. 335 patients (28%) were categorized as non-frail (MPI score 0.0-0.33), 522 (44%) moderately frail (MPI score 0.34-0.66) and 333 (28%) severely frail (MPI score 0.67-1.0). 90-day mortality HR was 7.4 (95% confidence interval (CI) 2.9-18.6, p < 0.001) for the moderately frail and 18.5 (95% CI 7.5-46.1, p < 0.001) for the severely frail compared with the non-frail. ROC area was 0.76 (95% CI 0.72-0.80). Similarly, 1-year mortality HR was 3.3 (95% CI 2.2-5.0, p < 0.001) for the moderately frail and 7.1 (95% CI 4.7-10.6, p < 0.001) for the severely frail. MS023 price 30-day readmission RR was 2.1 (95% CI 1.5-2.9, p < 0.001) for the moderately frail and 1.8 (95% CI 1.3-2.6, p = 0.001) for the severely frail. LOS was significantly longer with increasing MPI score (p < 0.001).

The record-based MPI assessed at discharge predicts dose-dependent post-discharge mortality and readmission risk and is associated with LOS in older medical inpatients.

The record-based MPI assessed at discharge predicts dose-dependent post-discharge mortality and readmission risk and is associated with LOS in older medical inpatients.