Background Many coronavirus disease 2019 (COVID‐19) survivors experience persistent symptoms, such as fatigue, dyspnea, and musculoskeletal pain. However, less is known about the impact of COVID‐19 on longer term functional outcomes. Objective To evaluate patient‐reported activity of daily living (ADL) function and fatigue symptoms 30 days after hospitalization for COVID‐19. Design Cross‐sectional study. Setting Tertiary care university hospital. Participants Adults 18 years or older hospitalized for COVID‐19 and survived to 30 days after discharge. Methods A standardized telephone questionnaire was administered 30 days after hospital discharge. Main Outcome Measures Ability to perform basic and instrumental ADLs and fatigue symptoms severity (Patient‐Reported Outcome Measurement Information System [PROMIS] Fatigue Short Form 7a) were assessed by self‐report. Results Participants (n = 55) were 22‐95 years old. Compared to pre‐COVID hospitalization, 52% developed new difficulty and 6% new dependence with performing basic ADLs (bADLs), 48% developed new difficulty and 11% new dependence with instrumental ADLs (iADLs), and 69% experienced a clinically significant worsening in their fatigue symptom severity. The average fatigue symptom severity T‐score before hospitalization was 44.2 ± 7.4 and after hospitalization was 54.5 ± 9.8. In exploratory multivariate analyses, each additional COVID symptom at presentation was associated with a predicted increase of 1.43 units (95% confidence interval [CI], 0.45–2.42) in the 30‐day fatigue symptom severity T‐score, each additional day of hospitalization was associated with an 1.2 times increased odds of worsening fatigue (95% CI, 0.98–1.5; p = .08), and each unit increase in baseline body mass index was associated with 0.8 times decreased odds of new bADL or iADL dependence at 30 days (95% CI, 0.65–0.99). Conclusions New functional impairments are common at 30 days after discharge among survivors of hospitalization for COVID‐19. Early rehabilitation, advance care planning, and referrals to appropriate therapies should be considered in postacute COVID‐19 care to maximize patients' functional outcomes. However, ongoing research is still needed regarding management of these patients.

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IntroductionDeaths and injuries from all-terrain vehicle (ATV) crashes result in approximately 700 deaths each year and more than 100,000 emergency department (ED) visits. Common misconceptions about ATV crashes are a significant barrier to injury prevention efforts, as is the lack of key information about where and how crashes occur. The purpose of this study was to determine ATV crash patterns within a state, and to compare and contrast characteristics of these crashes as a function of crash-site rurality.MethodsWe performed descriptive, comparative, and regression analyses using a statewide off-road vehicle crash and injury database (2002–2013). Comparisons were performed by rurality as defined using the Rural Urban Commuting Area (RUCA) coding system, and we used geographic information system (GIS) software to map crash patterns at the zip code and county levels.ResultsATV crashes occurred throughout the state; 46% occurred in urban and 54% in rural zip code areas. Comparisons of rider and crash characteristics by rurality showed similarities by sex, age, seating position, on vs. off the road, and crash mechanism. Conversely, helmet use was significantly lower among victims of isolated rural crashes as compared to other victims (p=0.004). Crashes in isolated rural and small rural areas accounted for only 39% of all crashes but resulted in 62% of fatalities. In both rural and urban areas, less than one-quarter of roadway injuries were traffic related. Relative crash rates varied by county, and unique patterns were observed for crashes involving youth and roadway riders. During the study period, 10% and 50% of all crashes occurred in 2% and 20% of the state’s counties, respectively.ConclusionThis study suggests that ATV crashes are a public health concern for both rural and urban communities. However, isolated rural ATV crash victims were less likely to be helmeted, and rural victims were over-represented among fatalities. Traffic was not the major factor in roadway crashes in either rural or urban areas. Unique crash patterns for different riding populations suggest that injury prevention experts and public policy makers should consider the potential impact of geographical location when developing injury prevention interventions.

Patients with severe cases of coronavirus disease 2019 (COVID‐19) often become critically ill requiring intensive care unit (ICU) management. These individuals are at risk for developing ICU‐acquired weakness (ICUAW), a multifactorial condition in which polyneuropathy, myopathy, and/or disuse muscle atrophy result in motor weakness. This weakness is thought to contribute to the long‐term functional disability frequently observed in survivors of critical illness. This review discusses the current evidence regarding the epidemiology, pathophysiology, evaluation, risk factors, and rehabilitation‐specific management of ICUAW in patients with COVID‐19. Because of the novelty of COVID‐19, the exact prevalence of ICUAW is not well delineated among COVID‐19 patients. However, ICUAW has been reported in this population with retrospective studies showing weakness occurring in up to 45.5% of patients with severe COVID‐19. There are multiple risk factors for developing ICUAW among COVID‐19 patients, including premorbid health status, sepsis, multiple organ failure, mechanical ventilation, immobilization, neuromuscular blockade, corticosteroid use, and glycemic control. ICUAW is more likely to occur after prolonged mechanical ventilation and long hospital stays and can be diagnosed with manual muscle and electrodiagnostic testing. Although the long‐term sequela of COVID‐19 after ICU stays is not fully studied, increasing evidence indicates significant risk for this population developing long‐term functional impairments. Establishing postacute rehabilitation programs for COVID‐19 survivors will be important for recovery of endurance, mobility, and function.

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Patients with cancer often experience changes in function during and after treatment but it is not clear what cancer types, and associated clinical factors, affect function. This study evaluated patient-reported functional impairments between specific cancer types and risk factors related to disease status and non-cancer factors. A cross-sectional study evaluating 332 individuals referred to cancer rehabilitation clinics was performed at six U.S. hospitals. The PROMIS Cancer Function Brief 3D Profile was used to assess functional outcomes across the domains of physical function, fatigue, and social participation. Multivariable modeling showed an interaction between cancer type and cancer status on the physical function and social participation scales. Subset analyses in the active cancer group showed an effect by cancer type for physical function (p < 0.001) and social participation (p = 0.008), but no effect was found within the non-active cancer subset analyses. Brain, sarcoma, prostate, and lymphoma were the cancers associated with lower function when disease was active. Premorbid neurologic or musculoskeletal impairments were found to be predictors of lower physical function and social participation in those with non-active cancer; cancer type did not predict low function in patients with no evidence of disease. There was no differential effect of cancer type on fatigue, but increased fatigue was significantly associated with lower age (0.027), increased body mass index (p < 0.001), premorbid musculoskeletal impairment (p < 0.015), and active cancer status (p < 0.001). Anticipatory guidance and education on the common impairments observed with specific cancer types and during specific stages of cancer care may help improve/support patients and their caregivers as they receive impairment-driven cancer rehabilitation care.

Introduction There are an increasing number of individuals with long‐term symptoms of coronavirus‐19 disease (COVID‐19); however, the prognosis for recovery of physical function and fatigue after COVID‐19 is uncertain. Objective To report the changes in functional recovery between 1 and 6 months after hospitalization of adults hospitalized for COVID‐19 and explore the baseline factors associated with physical function recovery. Design A prospective cohort study. Setting Tertiary care hospital. Participants U.S. adult COVID‐19 survivors. Intervention N/A. Main Outcome Measures Telephone interviews assessed three outcome domains: basic and instrumental activities of daily living (ADLs) performance, fatigue, and general physical function (Health Assessment Questionnaire [HAQ]). Results The age of participants (n = 92) ranged from 22 to 95 years (54.3 ± 17.2). Across outcome domains, a majority (63%–67%) of participants developed new ADL impairment, fatigue, or worsening HAQ severity by 1 month. Of those, 50%–79% partially or fully recovered by 6 months, but 21%–50% did not recover at least partially. Fifteen to 30% developed new impairment between 1 and 6 months. For those without any improvement in ADL impairments at 6 months, lower socioeconomic status was significantly more common (p = .01) and age ≥ 65 (p = .06), trending toward being more common. Conclusion In this cohort, a substantial proportion of the participants who developed new ADL impairment, worsening fatigue, or HAQ severity after hospitalization for COVID‐19 did not recover at least partially by 6 months after discharge. Evaluating functional status 1 month after discharge may be important in understanding functional prognosis and recovery after hospitalization for COVID‐19.