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Predictors of Recovery and the App-Facilitated Tele-Rehabilitation (AFTER) Program for COVID Survivors

康复预测因素以及针对新冠肺炎幸存者的应用程序辅助远程康复 (AFTER) 计划

基本信息

批准号：
10169066
负责人：
Kristine Mace Erlandson
金额：
$ 52.35万
依托单位：
UNIVERSITY OF COLORADO DENVER
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-01 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10169066
关键词：
2019-nCoV Accounting Acute Address Adult Adult Respiratory Distress Syndrome Age Aging C-reactive protein COVID-19 Caring Cessation of life Characteristics Cognition Complex Computerized Medical Record Critical Illness Data Development Disease Disease Surveillance Dyspnea Elderly Enrollment Equipment Exposure to Face Fatigue Funding Health Health Services Accessibility Home environment Hospital Personnel Hospitalization Hospitals Hour Impairment Individual Inflammation Inflammatory Response Injury Intensive Care Units Intervention Learning Module Marble Measures Mechanical ventilation Medical Moods Morbidity - disease rate Myalgia National Heart, Lung, and Blood Institute Neuropsychology Outcome Outcome Measure Participant Patients Persons Physical Function Population Prone Position Provider Quarantine Recovery Rehabilitation therapy Resources Risk Factors Sedation procedure Smell Perception Software Tools Standardization Stress Subgroup Survivors Symptoms Taste Perception Testing Time Translating Uncertainty Work aged base biobehavior comorbidity coronavirus disease cost disability exercise program experience high risk human old age (65+)improved innovation middle age mortality multiple chronic conditions novel pandemic disease post-traumatic symptoms prevent programs prospective recruit rehabilitation service rehabilitative care telehealth telerehabilitation virtual

项目摘要

PROJECT SUMMARY/ABSTRACT Older adults and adults with comorbidities or disability are at highest risk for morbidity and mortality from COVID-19, although many healthy middle-aged adults without underlying risk factors also experience severe disease, likely driven by a profound and exaggerated inflammatory response. Those who develop severe COVID-19 with acute respiratory distress syndrome often require prolonged mechanical ventilation and have limited contact with hospital personnel, including rehabilitation providers, due to infectivity and shortages of adequate personal protective equipment. Even patients with less severe COVID-19 who do not require intensive care unit (ICU) care often experience prolonged fatigue, myalgias, and activity-limiting dyspnea. While the long-term consequences of COVID-19 are not yet known, the combination of immobility, limited in- hospital interventions, and heightened inflammation may have detrimental effects on physical function lasting well beyond that seen with other critical illness. The overarching hypothesis is that both older adults with multimorbidity and healthy middle-aged adults who experience the `accelerated aging' effects of profound inflammation associated with COVID-19 will experience significant ongoing physical and neuropsychological impairment. Novel, scalable interventions that can overcome many of the barriers imposed by COVID-19 are urgently needed to reverse physical and neuropsychological impairments and prevent the long-term functional consequences. Aim 1 will determine predictors of improved post-hospitalization recovery of adults recently hospitalized with COVID-19. Aim 2 will investigate the feasibility and initial efficacy of a multicomponent tele- rehabilitation program during COVID-19 recovery. This study will enroll 300 adults recently hospitalized due to COVID-19 and follow these individuals for 16 weeks post-discharge using telehealth; Aim 2 will enroll a subset of 40 individuals from Aim 1 who required ICU care for at least 24 hours, who will be compared to similar controls in Aim 1. Significance of the proposed work is based on the great need to identify predictors of multisystem recovery and long-term health in survivors of COVID-19, and to deliver safe and effective rehabilitative care to medically complex patients even, and especially, when they face post-hospitalization barriers to in-person care. This work will directly translate to other medically complex populations who will benefit from innovative tele-rehabilitation, which has not yet been applied to medically complex patients. This study will contribute immediately to our knowledge of the course of recovery for survivors of COVID-19 and predictors for prolonged impairment during COVID-19 recovery. Furthermore, it will advance the feasibility of tele-rehabilitation as a more generally useful intervention in medically complex patients lacking access (distance, availability, mobility) to standard rehabilitative services. Developing safe and effective tele- rehabilitation programs as alternatives to in-person rehabilitation for medically complex populations could transform post-hospital care for medically complex patients including, but not limited to, those with COVID-19.

项目总结/文摘

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data.

DOI：
10.1016/j.ijmedinf.2021.104594
发表时间：
2021-11
期刊：
International journal of medical informatics
影响因子：
4.9
作者：
Campbell TW;Wilson MP;Roder H;MaWhinney S;Georgantas RW 3rd;Maguire LK;Roder J;Erlandson KM
通讯作者：
Erlandson KM

Assessing the sensibility and utility of a short-form version of the HIV Disability Questionnaire in clinical practice settings in Canada, Ireland and the USA: a mixed methods study.

评估简短版艾滋病毒残疾问卷在加拿大、爱尔兰和美国临床实践环境中的敏感性和实用性：一项混合方法研究。

DOI：
10.1136/bmjopen-2022-062008
发表时间：
2022-09-29
期刊：
BMJ OPEN
影响因子：
2.9
作者：
O'Brien, Kelly K.;Solomon, Patricia;Carusone, Soo Chan;Erlandson, Kristine M.;Bergin, Colm;Bayoumi, Ahmed M.;Hanna, Steven E.;Harding, Richard;Brown, Darren A.;Vera, Jaime H.;Boffito, Marta;Murray, Carolann;Aubry, Rachel;O'Shea, Noreen;St Clair-Sullivan, Natalie;Boyd, Mallory;Swinton, Marilyn;Torres, Brittany;Davis, Aileen M.
通讯作者：
Davis, Aileen M.

Association of Phenotypic Aging Marker with comorbidities, frailty and inflammatory markers in people living with HIV.

DOI：
10.1186/s12877-022-03720-1
发表时间：
2022-12-31
期刊：
BMC GERIATRICS
影响因子：
4.1
作者：
Han, Win Min;Apornpong, Tanakorn;Gatechompol, Sivaporn;Ubolyam, Sasiwimol;Chattranukulchai, Pairoj;Wattanachanya, Lalita;Siwamogsatham, Sarawut;Kerr, Stephen J.;Erlandson, Kristine M.;Avihingsanon, Anchalee
通讯作者：
Avihingsanon, Anchalee

Inference following multiple imputation for generalized additive models: an investigation of the median p-value rule with applications to the Pulmonary Hypertension Association Registry and Colorado COVID-19 hospitalization data.