Mild respiratory COVID can cause multi-lineage neural cell and myelin dysregulation.

COVID survivors frequently experience lingering neurological symptoms that resemble cancer-therapy-related cognitive impairment, a syndrome for which white matter microglial reactivity and consequent neural dysregulation is central. Here, we explored the neurobiological effects of respiratory SARS-CoV-2 infection and found white-matter-selective microglial reactivity in mice and humans. Following mild respiratory COVID in mice, persistently impaired hippocampal neurogenesis, decreased oligodendrocytes, and myelin loss were evident together with elevated CSF cytokines/chemokines including CCL11. Systemic CCL11 administration specifically caused hippocampal microglial reactivity and impaired neurogenesis. Concordantly, humans with lasting cognitive symptoms post-COVID exhibit elevated CCL11 levels. Compared with SARS-CoV-2, mild respiratory influenza in mice caused similar patterns of white-matter-selective microglial reactivity, oligodendrocyte loss, impaired neurogenesis, and elevated CCL11 at early time points, but after influenza, only elevated CCL11 and hippocampal pathology persisted. These findings illustrate similar neuropathophysiology after cancer therapy and respiratory SARS-CoV-2 infection which may contribute to cognitive impairment following even mild COVID.

Distinguishing features of long COVID identified through immune profiling.

Post-acute infection syndromes may develop after acute viral disease1. Infection with SARS-CoV-2 can result in the development of a post-acute infection syndrome known as long COVID. Individuals with long COVID frequently report unremitting fatigue, post-exertional malaise, and a variety of cognitive and autonomic dysfunctions2-4. However, the biological processes that are associated with the development and persistence of these symptoms are unclear. Here 275 individuals with or without long COVID were enrolled in a cross-sectional study that included multidimensional immune phenotyping and unbiased machine learning methods to identify biological features associated with long COVID. Marked differences were noted in circulating myeloid and lymphocyte populations relative to the matched controls, as well as evidence of exaggerated humoral responses directed against SARS-CoV-2 among participants with long COVID. Furthermore, higher antibody responses directed against non-SARS-CoV-2 viral pathogens were observed among individuals with long COVID, particularly Epstein-Barr virus. Levels of soluble immune mediators and hormones varied among groups, with cortisol levels being lower among participants with long COVID. Integration of immune phenotyping data into unbiased machine learning models identified the key features that are most strongly associated with long COVID status. Collectively, these findings may help to guide future studies into the pathobiology of long COVID and help with developing relevant biomarkers.

Gamified Neurorehabilitation Strategies for Post-stroke Motor Recovery: Challenges and Advantages.

PURPOSE OF REVIEW: Stroke is the leading cause of permanent motor disability in the United States (US), but there has been little progress in developing novel, effective strategies for treating post-stroke motor deficits. The past decade has seen the rapid development of many promising, gamified neurorehabilitation technologies; however, clinical adoption remains limited. The purpose of this review is to evaluate the recent literature surrounding the adoption and use of gamification in neurorehabilitation after stroke. RECENT FINDINGS: Gamification of neurorehabilitation protocols is both feasible and effective. Deployment strategies and scalability need to be addressed with more rigor. Relationship between engaged time on task and rehabilitation outcomes should be explored further as it may create benefits beyond repetitive movement. As gamification becomes a more common and feasible way of delivering exercise-based therapies, additional benefits of gamification are emerging. In spite of this, questions still exist about scalability and widespread clinical adoption.

Remote Patient Monitoring Identifies the Need for Triage in Patients with Acute COVID-19 Infection.

Introduction: Telehealth was frequently used in the provision of care and remote patient monitoring (RPM) during the COVID-19 pandemic. The Precision Recovery Program (PRP) remotely monitored and supported patients with COVID-19 in their home environment. Materials and Methods: This was a single-center retrospective cohort study reviewing data acquired from the PRP clinical initiative. Results: Of the 679 patients enrolled in the PRP, 156 patients were screened by a clinician following a deterioration in symptoms and vital signs on a total of 240 occasions, and included in the analyses. Of these 240 occasions, 162 (67%) were escalated to the PRP physician. Thirty-six patients were referred to emergency department, with 12 (7%) admitted to the hospital. The most common risk factors coinciding with hospital admissions were cardiac (67%), age >65 (42%), obesity (25%), and pulmonary (17%). The most common symptoms reported that triggered a screening event were dyspnea/tachypnea (27%), chest pain (14%), and gastrointestinal issues (8%). Vital signs that commonly triggered a screening event were pulse oximetry (15%), heart rate (11%), and temperature (9%). Discussion: Common factors (risk factors, vital signs, and symptoms) among patients requiring screening, triage, and hospitalization were identified, providing clinicians with further information to support decision making when utilizing RPM in this cohort. Conclusion: A clinician-led RPM program for patients with acute COVID-19 infection provided supportive care and screening for deterioration. Similar models should be considered for implementation in COVID-19 cohorts and other conditions at risk of rapid clinical deterioration in the home setting.

Postintensive Care Syndrome in Survivors of Critical Illness Related to Coronavirus Disease 2019: Cohort Study From a New York City Critical Care Recovery Clinic.

OBJECTIVE: Determine the characteristics of postintensive care syndrome in the cognitive, physical, and psychiatric domains in coronavirus disease 2019 ICU survivors. DESIGN: Single-center descriptive cohort study from April 21, to July 7, 2020. SETTING: Critical care recovery clinic at The Mount Sinai Hospital in New York City. PATIENTS: Adults who had critical illness due to coronavirus disease 2019 requiring an ICU stay of 7 days or more and who agreed to a telehealth follow-up in the critical care recovery clinic 1-month post hospital discharge. INTERVENTIONS: None. MEASURES AND MAIN RESULTS: Patient-reported outcome measures assessing physical and psychiatric domains were collected electronically, a cognitive test was performed by a clinician, and clinical data were obtained through electronic medical records. Outcome measures assessed postintensive care syndrome symptoms in the physical (Modified Rankin Scale, Dalhousie Clinical Frailty Scale, Neuro-Quality of Life Upper Extremity and Lower Extremity Function, Neuro-Quality of Life Fatigue), psychiatric (Insomnia Severity Scale; Patient Health Questionnaire-9; and Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition), and cognitive (Telephone Montreal Cognitive Assessment) domains. The 3-Level Version of Euro-QoL-5D was used to assess the physical and psychiatric domains. A diagnosis of postintensive care syndrome was made in cases with evidence of impairment in at least one postintensive care syndrome domain. We included 45 patients with a mean (sd) age of 54 (13) years, and 73% were male. Ninety-one percent of coronavirus disease 2019 ICU survivors fit diagnostic criteria for postintensive care syndrome. 86.7 % had impairments in the physical domain, 22 (48%) reported impairments in the psychiatric domain, and four (8%) had impairments on cognitive screening. We found that 58% had some degree of mobility impairment. In the psychiatric domain, 38% exhibited at least mild depression, and 18 % moderate to severe depression. Eighteen percent presented Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, scores suggestive of posttraumatic stress syndrome diagnosis. In the Telephone Montreal Cognitive Assessment, 9% had impaired cognition. CONCLUSIONS: Survivors of critical illness related to coronavirus disease 2019 are at high risk of developing postintensive care syndrome. These findings highlight the importance of planning for appropriate post-ICU care to diagnose and treat this population.

Remote Patient Monitoring for Home Management of Coronavirus Disease 2019 in New York: A Cross-Sectional Observational Study.

Background: Coronavirus disease 2019 (COVID-19) poses a global public health emergency, overwhelming health systems worldwide and forcing rapid adoption of telemedicine strategies. Introduction: The COVID-19 Precision Recovery Program (PRP) is a remote patient monitoring (RPM) clinical program that was deployed by a New York health system to perform physiologic and symptomatic monitoring for patients with confirmed or suspected COVID-19 diagnoses. Methods: The present cross-sectional descriptive study reports retrospective data collected from the PRP during the COVID-19 crisis in New York. Results: One hundred twelve patients were included; mean (standard deviation) age was 49 (17.6) years and 60.7% were female. Most prevalent reported comorbidities were hypertension (36.3%), hypercholesterolemia (26.5%), and diabetes (17.7%). Less than half (44.6%) had a positive polymerase chain reaction COVID test (PCR-test), 33% had an unknown COVID status, and 17.9% had a negative test result. The most commonly reported symptoms included dyspnea (55.4%) and anxiety (55.4%). Anxiety was ranked as the most severe symptom (9.8%), followed by difficulty concentrating (4.5%). Symptom presentation did not significantly differ based on PCR-test status. Discussion: RPM can be a valuable tool for delivering care to patients with confirmed or suspected COVID-19 diagnoses. Considering similarities in symptom presentation between PCR-test statuses, access to COVID-related clinical care should not be based on PCR-test results. Conclusions: RPM has strong potential to assist in the effective management of suspected COVID-19 patients.

Use of Fitbit Technology Does Not Impact Health Biometrics in a Community of Older Adults.

Introduction: To evaluate if the offering of Fitbit technology led to changes in cardiovascular health metrics in a cohort of older adults. Methods: A retrospective cohort study was developed in two community-embedded health monitoring sites, located in aggregate housing communities for older adults in Westchester County, NY. Participants included older adults (55 years or older) enrolled in the Telehealth Intervention Programs for Seniors (TIPS) initiative, a community-embedded remote patient monitoring initiative. Weekly blood pressure, heart rate, weight, and blood oxygenation were taken on all participants. For participants who accepted a Fitbit Zip device, a weekly step count was also collected. Results: Ninety-four TIPS participants were offered Fitbit technology. Thirty participants accepted the technology and used it for a minimum of 6 months. No significant differences in any of the regularly acquired biometrics were noted between Fitbit users and non-Fitbit users. Across all participants, regardless of Fitbit use, there was a significant decrease in systolic blood pressure (SBP) over time. Conclusions: Neither Fitbit Zip ownership or compliance to Fitbit Zip usage influenced any of the biometrics taken as part of the TIPS. However, participation in the TIPS initiative may have an overall positive effect on SBP in older adults.

Resonant breathing improves self-reported symptoms and wellbeing in people with Long COVID.

Introduction: Long COVID involves debilitating symptoms, many of which mirror those observed with dysautonomia, and care must be taken with rehabilitation for autonomic dysfunction to avoid post-exertional malaise/post-exertional symptom exacerbation. Resonant breathing (breathing slowly at a defined rate of breaths per minute) requires less exertion and can potentially improve autonomic function. The objective of this work was to report on the impact of a resonant breathing program on self-reported symptoms and wellbeing in people with Long COVID. Methods: A retrospective analysis of de-identified data was completed in a convenience sample of people with Long COVID, who participated in the Meo Health (formerly known as Stasis HP) resonant breathing program. Participants completed baseline and follow up surveys. Results: Data were available for 99 participants. Most measures of symptoms and wellbeing improved at follow up, with the largest differences per participant seen in sense of wellness (47.3%, p < 0.0001), ability to focus (57.5%, p < 0.0001), ability to breathe (47.5%, p < 0.0001), ability to control stress (61.8%, p < 0.0001) and sleep quality (34.9%, p = 0.0002). Most (92%) participants reported improvement at follow up on the Patient Global Impression of Change Scale. Conclusion: Self-reported symptoms and wellbeing improved in people with Long COVID completing resonant breathing. Resonant breathing can be considered as an option within the broader treatment plan of people with Long COVID.

Immersive virtual reality for chronic neuropathic pain after spinal cord injury: a pilot, randomized, controlled trial.

Introduction: Neuropathic pain (NP) poses significant challenges for individuals with spinal cord injury (SCI), often inadequately managed by current interventions. Immersive virtual reality (IVR) has emerged as a promising approach for pain modulation, yet robust evidence is lacking. Objectives: This pilot study investigated the analgesic effects of different IVR environments (scenic, somatic) compared with a control environment, and explored psychomotor properties influencing pain attenuation. Methods: Twenty-two participants with NP caused by SCI were randomized into 3 IVR environments: somatic (n = 8), scenic (n = 7), and control (n = 8), undergoing 3 weekly sessions over 4 weeks with baseline, postintervention, and one-month follow-ups. Results: There was a significant interaction effect between VR environment and time point on Neuropathic Pain Symptom Inventory scores (F(4,37.0) = 2.80, P = 0.04). Scenic VR participants exhibited reduced scores postintervention and at follow-up, with no significant changes in somatic VR or control environments. Similar trends were observed in secondary measures, such as Neuropathic Pain Scale and pain numeric rating scale. Enjoyment and presence were associated with decreased pain-change scores (F(1, 252) = 4.68, P = 0.03 for enjoyment; F(1, 223.342) = 7.92, P = 0.005 for presence), although not significantly influenced by VR environment or time point. Conclusion: Both environments showed reduced pain outcomes, underscoring the need for personalized IVR pain therapies and informing further technology development for NP management.

A causal link between autoantibodies and neurological symptoms in long COVID.

Acute SARS-CoV-2 infection triggers the generation of diverse and functional autoantibodies (AABs), even after mild cases. Persistently elevated autoantibodies have been found in some individuals with long COVID (LC). Using a >21,000 human protein array, we identified diverse AAB targets in LC patients that correlated with their symptoms. Elevated AABs to proteins in the nervous system were found in LC patients with neurocognitive and neurological symptoms. Purified Immunoglobulin G (IgG) samples from these individuals reacted with human pons tissue and were cross-reactive with mouse sciatic nerves, spinal cord, and meninges. Antibody reactivity to sciatic nerves and meninges correlated with patient-reported headache and disorientation. Passive transfer of IgG from patients to mice led to increased sensitivity and pain, mirroring patient-reported symptoms. Similarly, mice injected with IgG showed loss of balance and coordination, reflecting donor-reported dizziness. Our findings suggest that targeting AABs could benefit some LC patients.

Sex differences in symptomatology and immune profiles of Long COVID.

Strong sex differences in the frequencies and manifestations of Long COVID (LC) have been reported with females significantly more likely than males to present with LC after acute SARS-CoV-2 infection 1-7 . However, whether immunological traits underlying LC differ between sexes, and whether such differences explain the differential manifestations of LC symptomology is currently unknown. Here, we performed sex-based multi-dimensional immune-endocrine profiling of 165 individuals 8 with and without LC in an exploratory, cross-sectional study to identify key immunological traits underlying biological sex differences in LC. We found that female and male participants with LC experienced different sets of symptoms, and distinct patterns of organ system involvement, with female participants suffering from a higher symptom burden. Machine learning approaches identified differential sets of immune features that characterized LC in females and males. Males with LC had decreased frequencies of monocyte and DC populations, elevated NK cells, and plasma cytokines including IL-8 and TGF-ß-family members. Females with LC had increased frequencies of exhausted T cells, cytokine-secreting T cells, higher antibody reactivity to latent herpes viruses including EBV, HSV-2, and CMV, and lower testosterone levels than their control female counterparts. Testosterone levels were significantly associated with lower symptom burden in LC participants over sex designation. These findings suggest distinct immunological processes of LC in females and males and illuminate the crucial role of immune-endocrine dysregulation in sex-specific pathology.

Post-COVID Conditions and Burden of Disease.

Post-COVID condition (PCC), also known as long COVID, is a multi-systemic illness estimated to affect 10% to 20% of those infected, regardless of age, baseline health status, or initial symptom severity. PCC has affected millions of lives, with long-lasting debilitating effects, but unfortunately it remains an underrecognized and therefore poorly documented condition. Defining and disseminating the burden of PCC is essential for developing effective public health strategies to address this issue in the long term.

Engagement in an mHealth-Guided Exercise Therapy Program Is Associated With Reductions in Chronic Musculoskeletal Pain.

CONTEXT: Chronic musculoskeletal pain costs the US $980 billion annually. Conservative treatments are the criterion standard, but scalable methods of treatment remain to be evaluated. OBJECTIVE: The aim of the study is to determine the effects of pain reduction and the perceived benefits of an mHealth exercise therapy program. DESIGN: This is a retrospective observational study on data from 3109 people (18-98, 49% female) with musculoskeletal pain in an mHealth exercise program. Presession pain was measured via 11-point numeric rating scale and nonstandardized single-item questions for work and quality of life; all were analyzed using mixed-effects models. RESULTS: By 11 sessions, there was an estimated a 2.09-point decrease in average numeric rating scale pain levels. There was an average percent increase of approximately 0.7 points for work life and quality of life ( tdf =6,632 = 12.06, P < 0.001). User engagement was high; 46% of participants were performing more than one session per day, and 88% were engaging within a week, indicating the feasibility of the deployment of an mHealth exercise app. CONCLUSIONS: An mHealth exercise program was associated with significant decrease in pain and increased perceived benefits in a large population. These findings serve as preliminary findings of the feasibility for mHealth exercise interventions as scalable tools to improve chronic musculoskeletal pain outcomes.

Dysautonomia, but Not Cardiac Dysfunction, Is Common in a Cohort of Individuals with Long COVID.

Despite the prevalence of dysautonomia in people with Long COVID, it is currently unknown whether Long COVID dysautonomia is routinely accompanied by structural or functional cardiac alterations. In this retrospective observational study, the presence of echocardiographic abnormalities was assessed. Left ventricular (LV) chamber sizes were correlated to diagnostic categories and symptoms via standardized patient-reported outcome (PRO) questionnaires. A total of 203 individuals with Long COVID without pre-existing cardiac disease and with available echocardiograms were included (mean age, 45 years; 67% female). Overall, symptoms and PRO scores for fatigue, breathlessness, quality of life, disability, anxiety and depression were not different between those classified with post-COVID dysautonomia (PCD, 22%) and those unclassified (78%). An LV internal diameter at an end-diastole z score < -2 was observed in 33 (16.5%) individuals, and stroke volume (SV) was lower in the PCD vs. unclassified subgroup (51.6 vs. 59.2 mL, 95% C.I. 47.1-56.1 vs. 56.2-62.3). LV end-diastolic volume (mean diff. (95% CI) -13 [-1--26] mL, p = 0.04) and SV (-10 [-1--20] mL, p = 0.03) were smaller in those individuals reporting a reduction in physical activity post-COVID-19 infection, and smaller LVMI was weakly correlated with worse fatigue (r = 0.23, p = 0.02). The majority of individuals with Long COVID report shared symptoms and did not demonstrate cardiac dysfunction on echocardiography.

Retrospective case-control study to compare exoskeleton-assisted walking with standard care in subacute non-traumatic brain injury patients.

BACKGROUND: Advanced technologies are increasingly used to address impaired mobility after neurological insults, with growing evidence of their benefits for various populations. However, certain robotic devices have not been extensively investigated in specific conditions, limiting knowledge about optimal application for healthcare. OBJECTIVE: To compare effectiveness of conventional gait training with exoskeleton-assisted walking for non-traumatic brain injury during early stage rehabilitation. METHODS: Clinical evaluation data at admission and discharge were obtained in a retrospective case-control design. Patients received standard of care physical therapy either using Ekso GT or not. Within- or between-group statistical tests were performed to determine change over time and interventional differences. RESULTS: This study analyzed forty-nine individuals (33% female), 20 controls and 29 Ekso participants who were equivalent at baseline. Both groups improved in Functional Independence Measure scores and ambulation ability (p < .00001 and p < .001, respectively). Control subjects demonstrated significantly different distance walked and assistance level values at discharge from those who were treated with the exoskeleton (p < .01). CONCLUSION: Robotic locomotion is non-inferior for subacute functional recovery after non-traumatic brain injury. Conventional therapy produced larger gait performance gains during hospitalization. Further research is needed to understand specific factors influencing efficacy and the long-term implications after rehabilitation.

Exergaming delivery of a balance and fall prevention program for older adults: A feasibility study.

Objective: Older adults are at high risk of falls and this problem calls for efficient and scalable interventions. This study investigated whether a motion capture system paired with balance training exergaming software is a feasible strategy to deliver therapeutic exercise to older adults in an aged care facility. Methods: This study analyzed data from a quality improvement rehabilitation initiative. Two convenience samples of older adults were included: a usual care group (n = 12), admitted to a rehabilitation hospital and receiving standard in-patient therapy 5×/week and the Evolv group (n = 12), admitted to an aged care facility, prescribed exergaming 3×/week. All participants performed 30-minute exercise sessions based on a fall prevention program over 3 months. The Short Physical Performance Battery (SPPB) and Tinetti Performance Oriented Mobility Assessment test were administered pre- and post-treatment. Results: No adverse events were recorded during the interventions. Mean SPPB increase for Evolv participants was 2.25 ± 1.35 (p < .001, CI for mean = 1.39 to 3.11, d = 1.66), compared with a non-significant change in the usual care group (mean increase = 2.25 ± 3.82, p = .066, CI for mean = -0.18 to 4.68, d = 0.59). Tinetti improvement was significant for the individuals receiving usual care (3.83 ± 2.82, p = .012, CI for mean = 1.01 to 6.66, d = 0.86) but there were no significant between-group differences in outcomes. Conclusions: Exergaming with the Evolv system for balance and strength training may be a feasible strategy to improve physical function for older adults recovering in an aged care facility.

Remote Patient Monitoring of Blood Pressure Is Feasible Poststroke and Can Facilitate Triage of Care.

Background and Purpose: Strict blood pressure (BP) control is a universally accepted therapeutic intervention in the prevention of secondary stroke, yet this remains difficult when patients return home postinjury. This study aimed to investigate the application of the remote patient monitoring (RPM) of BP in patients after stroke, or who were at immediate risk of stroke, and the subsequent outcomes relating to triage and escalation of care. Methods: This was a single-center proof-of-concept study. Participants were patients aged 18 years and older with a diagnosis of stroke or who were at immediate risk of stroke. Patients were enrolled into the precision recovery program (PRP) and asked to assess their BP and heart rate daily and enter values into a MyCap application for the RPM program. These data were reviewed daily by an assigned PRP clinician, and weekly Zoom meetings were held with the patient. Care was triaged and escalated to a physician as indicated. Results: Twelve patients (5 [42%] female, aged mean [range] 63 [43-84] years) met the inclusion criteria and continued in the program for median (range) 136 (8-227) days. The median (range) number of excursions of BP above limits per participant was 19 (0-79) for systolic and 36 (0-104) for diastolic. A total of 16 triage events (median [range] 1 [0-3]) were initiated for escalation of care. Conclusions: This study demonstrated that RPM is feasible in patients poststroke or at immediate risk of stroke, and facilitates the triage of care when BP is elevated above recommended limits.

Telehealth treatment for nonspecific low back pain: A review of the current state in mobile health.

INTRODUCTION: Nonspecific low back pain (LBP) is an idiopathic musculoskeletal condition that affects four of five individuals in their lifetime and is the leading cause of job-related disability in the United States. The interest in interactive and dynamic telehealth treatments for LBP continues to grow, and it is important for the medical community to remain up-to-date on the state of the science. LITERATURE SURVEY: Relevant studies published from March 2016 until March 2021 were identified through a systematic search of EMBASE, MedLine, and Web of Science. The search strategy combined the concepts of back pain, telehealth, and mobile applications. METHODOLOGY: Titles and abstracts were screened to select full-text randomized controlled trials or protocols, and methodological quality and risk of bias was assessed using the Cochrane risk-of-bias tool. Data were synthesized narratively. SYNTHESIS: We included seven concluded randomized-controlled trials and two study protocols reporting mobile health (mHealth) solutions for LBP. Six of the seven concluded trials found a significant improvement in self-reported numerical pain rating scale compared to the control group. A single trial compared a mHealth solution to physical therapy, with the majority of studies comparing interventions to "usual care." Substantial heterogeneity in reporting of sample characteristics was found, indicating a lack of standardization through the field. CONCLUSIONS: mHealth solutions may positively impact people with LBP. Larger trials should be encouraged and the field should coalesce around a set of baseline variables for collection and reporting. Because many interventions involve patient engagement, future trials should aim to further quantify adherence levels and begin to define telehealth "doses" associated with better outcomes.

Awareness of Physical Medicine and Rehabilitation as a Specialty Among US Medical Students.

ABSTRACT: The objectives were to assess US medical students' awareness about physical medicine and rehabilitation, their career goals that may align with physical medicine and rehabilitation, and their exposure to physical medicine and rehabilitation and to compare the demographics of those applying to, interested, or not interested in physical medicine and rehabilitation residency. This was a descriptive cross-sectional study. An online survey was distributed to 76 medical schools, and 2067 students responded. First-generation and Hispanic/Latino students are less likely to know about physical medicine and rehabilitation. Medical students who heard about physical medicine and rehabilitation before or during college or who are first-generation students to attend medical school are more likely to be interested in physical medicine and rehabilitation. Medical students identified as female, Black or African American, and more advanced in medical training have lesser interest. Rotating in physical medicine and rehabilitation at their home institution and shadowing a physical medicine and rehabilitation physician also increase the likelihood of respondents to apply to physical medicine and rehabilitation residency. This study highlights that female students and underrepresented minorities in medicine are less likely to know about physical medicine and rehabilitation or be interested in physical medicine and rehabilitation. First-generation medical students know less about the field but the ones who do have increased interest in physical medicine and rehabilitation. These findings support the need for pipeline programs to improve exposure, recruitment, development, promotion, and retention of first-generation minorities and women into physical medicine and rehabilitation.

Post-acute COVID-19 Syndrome Negatively Impacts Physical Function, Cognitive Function, Health-Related Quality of Life, and Participation.

OBJECTIVE: This report describes persistent symptoms associated with post-acute COVID-19 syndrome (PACS) and the impact of these symptoms on physical function, cognitive function, health-related quality of life, and participation. DESIGN: This study used a cross-sectional observational study design. Patients attending Mount Sinai's post-acute COVID-19 syndrome clinic completed surveys containing patient-reported outcomes. RESULTS: A total of 156 patients completed the survey, at a median (range) time of 351 days (82-457 days) after COVID-19 infection. All patients were prevaccination. The most common persistent symptoms reported were fatigue (n = 128, 82%), brain fog (n = 105, 67%), and headache (n = 94, 60%). The most common triggers of symptom exacerbation were physical exertion (n = 134, 86%), stress (n = 107, 69%), and dehydration (n = 77, 49%). Increased levels of fatigue (Fatigue Severity Scale) and dyspnea (Medical Research Council) were reported, alongside reductions in levels of regularly completed physical activity. Ninety-eight patients (63%) scored for at least mild cognitive impairment (Neuro-Qol), and the domain of the EuroQol: 5 dimension, 5 level most impacted was Self-care, Anxiety/Depression and Usual Activities. CONCLUSIONS: Persistent symptoms associated with post-acute COVID-19 syndrome seem to impact physical and cognitive function, health-related quality of life, and participation in society. More research is needed to further clarify the relationship between COVID-19 infection and post-acute COVID-19 syndrome symptoms, the underlying mechanisms, and treatment options.