Short-term and Long-term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review | Infectious Diseases | JAMA Network Open | JAMA Network
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Figure 1.  Studies Included Studying Postacute Sequelae of COVID-19 (PASC)
Studies Included Studying Postacute Sequelae of COVID-19 (PASC)

A, Scatterplot representing each study’s PASC frequency (%) plotted according to length of follow-up from baseline (in days), represented by a circle proportional to the study’s sample size and annotated according to country. B, Box plot representing the frequency of PASC reported by follow-up period. The horizontal bar in each box plot is the median value for the outcome of interest. The edges of the box represent the first and third quartiles. The width of the box is the IQR. The whiskers extend to the smallest and largest observations within 1.5 times the IQR of the quartiles. The circles represent point estimates for each study included in the analysis. Circles extending beyond the whiskers are outliers.

Figure 2.  Neurologic, Mental Health, Respiratory, Mobility, and General Postacute Sequelae of COVID-19 (PASC) Symptoms
Neurologic, Mental Health, Respiratory, Mobility, and General Postacute Sequelae of COVID-19 (PASC) Symptoms

The vertical bar in each box plot is the median value for the outcome of interest. The edges of the box represent the first and third quartiles. The width of the box is the IQR. The whiskers extend to the smallest and largest observations within 1.5 times the IQR of the quartiles. The diamonds represent point estimates for each study included in the analysis. Diamonds extending beyond the whiskers are outliers. PTSD indicates posttraumatic stress disorder.

Figure 3.  Cardiac, Digestive, Skin, and Ear, Nose, and Throat (ENT) Postacute Sequelae of COVID-19 (PASC) Symptoms
Cardiac, Digestive, Skin, and Ear, Nose, and Throat (ENT) Postacute Sequelae of COVID-19 (PASC) Symptoms

The vertical bar in each box plot is the median value for the outcome of interest. The edges of the box represent the first and third quartiles. The width of the box is the IQR. The whiskers extend to the smallest and largest observations within 1.5 times the IQR of the quartiles. The diamonds represent point estimates for each study included in the analysis. Diamonds extending beyond the whiskers are outliers.

Table.  Study Specific Details
Study Specific Details
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    3 Comments for this article
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    Findings Not Generalizable Absent Weighting
    Brad Shrago, PhD | Personal
    The single most important factor in sample selection in this paper appears to be case severity -- roughly 80 percent of these patients were hospitalized. This evidence may appropriately be viewed as applicable to outcomes of severe cases, but to state anything regarding the general population is deceptive and will inevitably be glossed over by the press if not other researchers.

    I do not know the underlying data structure, but anybody with experience using observational data should know that at a minimum, presenting this information as if it represents descriptive statistics for the population of Covid-19 survivors as opposed
    to a sample of almost entirely severe cases is misleading. Please see (among others): Solon, Haider, and Wooldridge (2015, Journal of Human Resources).
    CONFLICT OF INTEREST: None Reported
    READ MORE
    Informed Refusal of the COVID-19 Vaccine
    Antony Hsu, MD | St Joseph Mercy Ann Arbor

    We look forward to management strategies for PASC including vaccination (1).  I'd also like to see if this information improves vaccination uptake rates for patients arriving with viral syndromes to acute care sites (PCP, urgent care, ED) in settings where the vaccine is not limited to supply availability in a shared-decision making model. This would be a difference-in-differences study.

    Reference

    1. Preprint: Change in Symptoms and Immune Response in People with Post-Acute Sequelae of SARS-Cov-2 Infection (PASC) After SARS-Cov-2 Vaccination. https://www.medrxiv.org/content/10.1101/2021.07.21.21260391v1.full.

    CONFLICT OF INTEREST: None Reported
    Refusing SARS-CoV-2 Vaccination Should Have Consequences
    Stephen Strum, MD, FACP | Private Practice of Hematology/Oncology/Internal Medicine

    It is long overdue to educate the world audience of these findings as well as to consider the systems costs of COVID-19 posed by those who refuse vaccination for themselves. Government health care costs are a major part of our gross domestic product. So far, COVID-19 healthcare costs are at 3.4 trillion dollars.1 The Ministry of Health in Singapore has announced it will cease paying for the care of unvaccinated individuals beginning December 2021.2

    REFERENCES

    1. https://www.usaspending.gov/disaster/covid-19?publicLaw=all

    2. https://www.moh.gov.sg/news-highlights/details/calibrated-adjustments-in-stabilisation-phase_8Nov2021

     

    CONFLICT OF INTEREST: None Reported
    Views 93,601
    Citations 0
    Original Investigation
    Infectious Diseases
    October 13, 2021

    Short-term and Long-term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review

    Author Affiliations
    • 1Department of Surgery, Penn State College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania
    • 2Department of Public Health Sciences, Penn State College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania
    • 3Cognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne, Victoria, Australia
    • 4Mary Mackillop Institute for Health Research, Department of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
    • 5Department of Neurology, Penn State College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania
    • 6Division of Infectious Disease, Department of Pediatrics, Penn State College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania
    • 7Center for Neural Engineering, Department of Engineering, Science and Mechanics, The Pennsylvania State University, State College
    JAMA Netw Open. 2021;4(10):e2128568. doi:10.1001/jamanetworkopen.2021.28568
    Key Points

    Question  What are the short-term and long-term postacute sequelae of COVID-19 (PASC) infection?

    Findings  In this systematic review of 57 studies comprising more than 250 000 survivors of COVID-19, most sequelae included mental health, pulmonary, and neurologic disorders, which were prevalent longer than 6 months after SARS-CoV-2 exposure.

    Meaning  These findings suggest that long-term PASC must be factored into existing health care systems, especially in low- and middle-income countries.

    Abstract

    Importance  Short-term and long-term persistent postacute sequelae of COVID-19 (PASC) have not been systematically evaluated. The incidence and evolution of PASC are dependent on time from infection, organ systems and tissue affected, vaccination status, variant of the virus, and geographic region.

    Objective  To estimate organ system–specific frequency and evolution of PASC.

    Evidence Review  PubMed (MEDLINE), Scopus, the World Health Organization Global Literature on Coronavirus Disease, and CoronaCentral databases were searched from December 2019 through March 2021. A total of 2100 studies were identified from databases and through cited references. Studies providing data on PASC in children and adults were included. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines for abstracting data were followed and performed independently by 2 reviewers. Quality was assessed using the Newcastle-Ottawa Scale for cohort studies. The main outcome was frequency of PASC diagnosed by (1) laboratory investigation, (2) radiologic pathology, and (3) clinical signs and symptoms. PASC were classified by organ system, ie, neurologic; cardiovascular; respiratory; digestive; dermatologic; and ear, nose, and throat as well as mental health, constitutional symptoms, and functional mobility.

    Findings  From a total of 2100 studies identified, 57 studies with 250 351 survivors of COVID-19 met inclusion criteria. The mean (SD) age of survivors was 54.4 (8.9) years, 140 196 (56%) were male, and 197 777 (79%) were hospitalized during acute COVID-19. High-income countries contributed 45 studies (79%). The median (IQR) proportion of COVID-19 survivors experiencing at least 1 PASC was 54.0% (45.0%-69.0%; 13 studies) at 1 month (short-term), 55.0% (34.8%-65.5%; 38 studies) at 2 to 5 months (intermediate-term), and 54.0% (31.0%-67.0%; 9 studies) at 6 or more months (long-term). Most prevalent pulmonary sequelae, neurologic disorders, mental health disorders, functional mobility impairments, and general and constitutional symptoms were chest imaging abnormality (median [IQR], 62.2% [45.8%-76.5%]), difficulty concentrating (median [IQR], 23.8% [20.4%-25.9%]), generalized anxiety disorder (median [IQR], 29.6% [14.0%-44.0%]), general functional impairments (median [IQR], 44.0% [23.4%-62.6%]), and fatigue or muscle weakness (median [IQR], 37.5% [25.4%-54.5%]), respectively. Other frequently reported symptoms included cardiac, dermatologic, digestive, and ear, nose, and throat disorders.

    Conclusions and Relevance  In this systematic review, more than half of COVID-19 survivors experienced PASC 6 months after recovery. The most common PASC involved functional mobility impairments, pulmonary abnormalities, and mental health disorders. These long-term PASC effects occur on a scale that could overwhelm existing health care capacity, particularly in low- and middle-income countries.

    Introduction

    The global COVID-19 pandemic that began in late 2019 has caused more than 187 million infections and 4 million deaths as of July 10, 2021.1 Survivors experience long-lasting medical, psychological, and economic consequences, further increasing the disability-adjusted life years lost.2 Despite current vaccination efforts,3 the health consequences of COVID-19 remain urgent, with long-term multi-organ system impacts that are yet to be elucidated. With a variety of clinical presentations and degrees of severity in patients,4 there is a dire need to better understand the lasting and emergent effects of COVID-19.

    Frequently reported residual effects from SARS-CoV-2 virus include fatigue, dyspnea, chest pain, persistent loss of taste and/or smell, cognitive changes, arthralgias, and decreased quality of life. Many of these symptoms may result from widespread neuropathological events occurring in major white matter bundle tracts, cortical gray matter, and subcortical gray matter.5 In a study conducted in the United States by Chopra et al,6 33% of patients had persistent symptoms at a 60-day follow-up after COVID-19 hospitalization. Similar trends have been observed in Europe.7 Furthermore, persistent symptoms (>6 weeks) have been reported in 19% of fully vaccinated individuals.8 However, as the pandemic emerged in 2019, most studies have been limited in the duration of observation, and there has yet to be a consolidation of these trends to portray an overarching evolution of these symptoms from short-term to long-term sequelae following COVID-19 infection.

    To our knowledge, short-term and long-term sequelae of COVID-19 have not been systematically evaluated. In this paper, we synthesized the existing literature to estimate the overall and organ system–specific frequency of postacute sequelae of COVID-19 (PASC). We sorted studies into groups that focused on (1) postacute symptoms at 1-month after acute COVID-19 (short term), (2) persisting and new clinical manifestations between 2 and 5 months after infection (intermediate term), and (3) clinical manifestations that were present at least 6 months after COVID-19 (long term). These categorizations were based on literature reports proposing a framework that COVID-19 infection progresses from an acute infection lasting approximately 2 weeks into a postacute hyperinflammatory illness lasting approximately 4 weeks, until ultimately entering late sequelae.9,10 As we better understand the disease burden of PASC in COVID-19 survivors, we can develop precise treatment plans to improve clinical care in patients with COVID-19 who are at greatest risk of PASC and establish integrated, evidence-based clinical management for those affected.

    Methods
    Information Source and Search Strategy

    The present study has been prospectively registered at PROSPERO (CRD42021239708) and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline.11 Databases were searched from December 2019 through March 2021, including PubMed (MEDLINE), Scopus, the World Health Organization Global Literature on Coronavirus Disease, and CoronaCentral. We manually searched the reference lists of included studies and other relevant documents to find additional studies. There were no limitations on country of publication or language. Non–English language articles were translated using the language translation services at the Penn State University Library. Predefined search terms included multiple combinations of the following: (COVID-19 OR coronavirus OR SARS-CoV-2 OR 2019-nCoV OR SARS nCoV2) AND (post-acute sequelae of SARS-COV-2 OR long COVID-19 OR post-COVID-19 syndrome). Studies obtained from the search were transferred into EndNote version 9.3.2 (Clarivate), and duplicates were removed.

    Eligibility and Inclusion Criteria

    Studies were selected according to the following criteria: participants, adults and children with a previous COVID-19 infection; exposure, COVID-19; condition or outcome of interest, frequency of PASC; study design and context, randomized clinical trials, prospective and retrospective cohort studies, case series with at least 10 patients, and case-control studies. Inclusion criteria included the following: previous COVID-19 diagnosis and reported PASC frequencies.

    Data Extraction

    Two investigators (D.G. and A.S.) screened titles and abstracts of all identified articles for eligibility. Full-text articles were screened from eligible studies. Disagreements were resolved by discussion with a third investigator (P.S.). The following information was extracted by 2 investigators (D.G. and A.S.) independently: year of publication, country and time frame of the study, sample size of survivors of COVID-19, number of participants with PASC, mean (SD) or median (IQR) age, percentage male, percentage hospitalized, outcome of interest, time zero (ie, from diagnosis of COVID-19 or hospital discharge), and measurement methods for outcome of interest.

    Study Quality Assessment

    Two reviewers (D.G. and A.S.) independently assessed the quality of the included studies. The Newcastle-Ottawa Scale (NOS) was used for the quality assessment of the included studies.12 Based on the NOS criteria, we assigned a maximum of 4 stars for selection, 2 stars for comparability, and 3 stars for exposure and outcome assessment. Studies with fewer than 5 stars were considered low quality; 5 to 7 stars, moderate quality; and more than 7 stars, high quality.

    Definition of Short-term, Intermediate-term, and Long-term PASC

    The primary outcome was the frequency of PASC, which was defined as the presence of at least 1 abnormality diagnosed by (1) laboratory investigation, (2) radiologic pathology, or (3) clinical signs and symptoms that was present at least 1 month after COVID-19 diagnosis or after discharge from the hospital. We defined short-term PASC as 1 month; intermediate-term, 2 to 5 months; and long-term, as 6 or more months after COVID-19 diagnosis or hospital discharge.

    Statistical Analysis

    A narrative approach was used to describe the number of studies, proportion male, proportion hospitalized, median or mean age (by study), whether the study was conducted in low- and middle-income countries (median gross national income, ≤$12 535) or high-income countries (median gross national income, ≥$12 536). We did not conduct a meta-analysis due to high heterogeneity in the outcome of interest. We summarized PASC rates descriptively, reporting medians and IQRs. PASC frequencies were summarized as short term, intermediate term, or long term and by organ system. R package ggplot2 was used to display the boxplots.13 All statistical analyses were performed with R software version 3.6.2 (R Project for Statistical Computing).

    Results
    Identified Studies

    As shown in eFigure 1 in the Supplement, we identified a total of 2100 studies. After excluding the duplicates and studies that did not meet inclusion criteria after screening the title, abstract, or main text, a total of 57 studies were included, with 250 351 survivors of COVID-19 who were assessed for PASC at 30 days after acute COVID-19 infection and beyond. The mean (SD) age of survivors was 54.4 (8.9) years, 140 196 (56%) were male, and 197 777 (79%) were hospitalized during acute COVID-19. High-income countries contributed 45 studies (79%). Study-specific details are provided in the Table.6,7,14-68

    Frequency of PASC

    Displayed in Figure 1A is the distribution of studies by country and follow-up time from baseline. PASC frequencies were stratified and reported by 1 month (short-term),14-26 2 to 5 months (intermediate-term),7,15,19,27-47,49-61,66,67 and 6 months (long-term)15,56,62-67 from COVID-19 diagnosis or hospital discharge (Figure 1B). The median (IQR) proportion of COVID-19 survivors experiencing at least 1 PASC at 1 month was 54.0% (45.0%-69.0%; 13 studies); at 2-5 months, 55.0% (34.8%-65.5%; 38 studies); and at 6 or more months, 54.0% (31.0%- 67.0%; 9 studies). When stratified by World Bank income groups, median (IQR) PASC frequency was 54.6% (33.0%-68.3%; 45 studies) in high-income countries and 56.0% (43.5%-67.0%; 12 studies) for low- and middle-income countries (eFigure 2A in the Supplement). PASC rates were similar in studies with higher (≥60%) and lower (<60%) percentages of hospitalized patients (eFigure 2B in the Supplement). In addition, when stratified by study methodological score, the proportion of PASC were similar (eFigure 2C in the Supplement).

    Rates of Clinical Manifestations of PASC

    A total of 38 clinical manifestations were assessed. We collapsed these clinical manifestations into categories of (1) organ systems, ie, neurologic, mental health, respiratory, cardiovascular, digestive, dermatologic, and ear, nose, and throat; (2) constitutional symptoms; and (3) functional mobility.

    Neurologic Symptoms

    Various neurologic symptoms were reported (Figure 2A). These included headaches, memory deficits, difficulty concentrating, and cognitive impairment. Even though anosmia (loss of smell) and ageusia or dysgeusia (loss or distortion of taste) are often reported as part of ear nose and throat system, we chose to include them in the neurologic symptoms because they are a consequence of the effect of the virus on the cranial nerve 1 (olfactory nerve) for smell and cranial nerves VII (facial), IX (glossopharyngeal nerve), and X (vagal nerve) for taste. The most common neurocognitive symptoms were difficulty concentrating (4 studies; median [IQR], 23.8% [20.4%-25.9%]), memory deficits (4 studies; median [IQR], 18.6% [17.3%-22.9%]), cognitive impairment (7 studies; median [IQR], 17.1% [14.1%-30.5%]). Dysgeusia and anosmia were reported in 11% (18 studies; median [IQR], 11.2% [6.7%-18.9%]) and 13% (24 studies; median [IQR], 13.4% [7.9%-19.0%]) of the survivors, respectively. Overall, headache symptoms were reported in 8% (11 studies; median [IQR], 8.7% [1.9%-13.9%]) of COVID-19 survivors. However, disparities existed in headache symptoms by study, ranging from 0% in Bellan and colleagues58 to 18% in Zhao et al.49

    Mental Health Disorders

    A variety of standardized instruments were used to assess mental health. These included the Patient Health Questionnaire (PHQ) 2 to screen for depression, the PHQ 9 to evaluate major depressive disorder, the General Anxiety Disorder 7 to assess generalized anxiety disorder, the Hospital Anxiety and Depression Scale to measure symptoms of anxiety and depression, and the PTSD Checklist of DSM-5 and the Impact of Events Scale to assess the presence and severity of posttraumatic stress disorder symptoms. The Pittsburgh Sleep Quality Index questionnaire was used to assess sleep quality and disturbances (Table). Depression or anxiety were reported in 9 studies, and the rates were consistent (Figure 2B). Approximately 1 in 3 COVID-19 survivors was diagnosed with generalized anxiety disorders (7 studies; median [IQR], 29.6% [14.0%-44.0%]), 1 in 4 with sleep disorders (10 studies; median [IQR], 27.0% [19.2%-30.3%]), 1 in 5 with depression (2 studies; median [IQR], 20.4% [19.2%-21.5%]), and 1 in 8 with posttraumatic stress disorder (9 studies; median [IQR], 13.3% [7.3%-25.1%]).

    Pulmonary Abnormalities

    Pulmonary manifestations of PASC were assessed with pulmonary function tests (such as spirometry, diffusing capacity for carbon monoxide, and respiratory strength) and imaging modalities including chest radiograph, computed tomography scans, and magnetic resonance imaging. Dyspnea was mainly assessed with the Modified Medical Research Council Dyspnea Scale. Dyspnea was reported in 38 studies (median [IQR], 29.7%; [14.2%-37.0%]), and cough was reported in 26 studies (median [IQR], 13.1% [5.3%-22.6%]). Increased oxygen requirement was reported in nearly two-thirds of COVID-19 survivors (3 studies; median [IQR], 65.0% [39.3%-76.1%]). Other frequently reported sequelae included pulmonary diffusion abnormalities (4 studies; median [IQR], 30.3% [22.1%-38.5%]), ground glass opacification (7 studies; median [IQR], 23.1% [19.7%-43.0%]), restrictive patterns on spirometry (3 studies; median [IQR], 10.0% [6.1%-24.1%]), and lung fibrosis (5 studies; median [IQR], 7.0% [2.5%-17.7%]) (Figure 2C). Overall, chest imaging abnormalities were present in a median (IQR) of 62.2% (45.8%-76.5%) of survivors (4 studies).

    Functional Mobility Impairment

    Three functional mobility impairments were assessed in this systematic review. They were impairment in general functioning (9 studies; median [IQR], 44.0% [23.4%-62.6%]), mobility decline (6 studies; median [IQR], 20.2% [14.9%-30.6%]), and reduced exercise tolerance (2 studies; median [IQR], 14.7% [10.6%-18.8%]) (Figure 2D).

    General and Constitutional Symptoms

    Due to their subjective nature and self-reportage of symptoms (Table), general well-being and constitutional symptoms varied widely between studies. In this category, we noted 7 persisting symptoms among survivors of COVID-19 (Figure 2E). These included fatigue or muscle weakness, joint pain, muscle pain, flu-like symptoms, fever, general pain, and weight loss. Most commonly reported symptoms were joint pain (11 studies; median [IQR], 10.0% [6.1%-19.0%]), fatigue or muscle weakness (30 studies; median [IQR], 37.5% [25.4%-54.5%]), and flu-like symptoms (6 studies; median [IQR], 10.3% [4.5%-19.2%]). General pain (8 studies; median [IQR], 32.4% [22.3%-38.4%]), persistent fever (16 studies; median [IQR], 0.9% [0%-3.1%]), and muscle pain (13 studies; median [IQR], 12.7% [5.6%-21.3%]) were also frequently reported among survivors. Fever rates decreased as a function of time: by 60 days of follow-up, persistent fever rates reduced from 3% to 0% in studies by Carvalho-Schneider and colleagues.14 Except for Glück et al15 at a 1-month follow-up, the reported fever rates were less than 20%. The high fever rates reported in Glück et al15 can potentially be explained by unusually high anti–SARS-CoV-2 immunoglobulin G levels in their patient population of frontline health care workers, which was significantly associated with the severity of disease as reported by the authors. Fever rates for the subsequent follow-ups at 3, 5, and more than 6 months after diagnosis were all at 0% in the Glück study.15 Carvalho-Schneider et al14 reported a slight increase in unintentional weight loss (defined as a loss of more than or equal to 5% of body weight at baseline) from 9% to 12% at day 30 to day 60 of follow-up, respectively.

    Cardiovascular Disorders

    Chest pain and palpitations were common cardiovascular manifestations in survivors of COVID-19 (Figure 3A). The median (IQR) frequency of chest pain and palpitation were 13.3% (8.8%-17.8%; 14 studies) and 9.3% (6.0%-10.8%; 5 studies), respectively. Other reported diagnoses, such as myocardial infarction and heart failure, were not as frequently reported in the literature.

    Gastrointestinal, Dermatologic, and Ear, Nose, and Throat Disorders

    The overall rate of gastrointestinal disorders was 6% and included abdominal pain, decreased appetite, diarrhea, and vomiting (Figure 3B). Hair loss (4 studies; median [IQR], 20.8% [17.4%-23.4%]) and skin rash (3 studies; median [IQR], 2.8% [1.7%-5.6%]) constituted dermatologic disorders (Figure 3C). Finally, sore throat was a concern among 3% of COVID-19 survivors (6 studies; median [IQR], 3.3%, [2.9%-4.0%]) (Figure 3D).

    Discussion

    In this systematic review, we evaluated the temporal progression of clinical abnormalities experienced by patients who recovered from an infection with SARS-CoV-2, starting with a mean of 30 days post–acute illness and beyond. The results suggest that rates of PASC are indeed common; 5 of 10 survivors of COVID-19 developed a broad array of pulmonary and extrapulmonary clinical manifestations, including nervous system and neurocognitive disorders, mental health disorders, cardiovascular disorders, gastrointestinal disorders, skin disorders, and signs and symptoms related to poor general well-being, including malaise, fatigue, musculoskeletal pain, and reduced quality of life. Short- and long-term rates of PASC were similar, highlighting the potential for pathological sequelae long after exposure to the SARS-CoV-2 virus.

    The mechanisms underpinning the postacute and chronic manifestations of COVID-19 are not entirely understood. Nevertheless, these mechanisms can be grouped into the direct effect of the viral infection and the indirect effect on mental health due to posttraumatic stress, social isolation, and economic factors, such as loss of employment.69,70 Direct viral effects can be explained by several hypotheses, including persistent viremia due to immune fatigue and paresis,71 relapse or reinfection,72 hyperinflammatory immune response, cytokine- and hypoxia-induced injury,73 and autoimmunity74 as well as neurotropism using a transsynaptic spread mechanism,5 resulting in hypoxic- or hemorrhagic-driven neuronal apoptosis.75 Herein, widespread acute injury to cortical/subcortical and white matter fiber bundles may affect brain function and impede distal brain connectivity, respectively, manifesting in common symptoms, such as those identified in this review. These symptoms may include headache (ie, encephalopathy), cognitive deficits (ie, widespread neuropathological events), and smell and taste disorders (ie, acute injury to olfactory bulb).

    At the forefront of clinical care for acute COVID-19 are multiple guidelines, recommendations, and best practices that have been disseminated and prioritized for prevention and management. However, no clear guidelines are currently available for postinfectious care or recovery, and there is a notable dearth of information on and strategies about how to assess and manage patients following their acute COVID-19 episode. This is in part due to a high degree of between-study heterogeneity in defining PASC. Indeed, this heterogeneity was evident the present study. We noted varying definitions of time zero, which included symptom onset, COVID-19 diagnosis, hospital admission, or hospital discharge. Furthermore, variations in the specific outcomes of interest and the outcome measurement tools existed, hindering us from pooling the data in a formal meta-analytic model. SARS-CoV-2 variant types and breakthrough infectivity rates among fully vaccinated individuals will likely modify the manifestations and incidence of PASC further.8

    Our results indicate that clinical management of PASC will require a whole-patient perspective, including management tools like virtual rehabilitation platforms and chronic care for post–acute COVID-19 symptoms in conjunction with the management of preexisting76,77 or new comorbidities.78 One-stop multidisciplinary clinics are therefore recommended to avoid multiple referrals to different specialists and encourage comprehensive care. Based on our work and the recent systematic reviews by Nasserie and colleagues,79 these specialists should include respiratory physicians, cardiologists, neurologists, general physicians (from primary care or rehabilitation medicine), neuropsychologists or neuropsychiatrists, physiotherapists, occupational therapists, speech and language therapists, and dieticians.80

    The clinical and public health implications of our findings are 2-fold. In addition to the life lost from acute COVID-19 illness, many individuals experience disability due to PASC, greatly exacerbating the disease burden.81 Such a burden is more than enough to overwhelm existing health care system capacities, particularly in resource-constrained settings. Second, predictive models of postacute and chronic COVID-19 sequalae using clinical and laboratory data obtained during the acute phase of COVID-19 are critically needed to inform effective strategies to mitigate or prevent PASC.

    Limitations

    This study has limitations. First, there is no consensus on the definition of postacute COVID-19. PASC currently has many definitions, including (1) the presence of symptoms beyond 3 weeks from the initial onset of symptoms78; (2) symptoms that develop during or following an infection consistent with COVID-19, continue for more than 4 weeks, and are not explained by an alternative diagnosis80; and (3) signs and symptoms at 12 weeks after infection and beyond. This led to considerable heterogeneity in PASC definitions among the articles synthesized in this systematic review. Therefore, it was difficult to precisely compare the percentages of patients with abnormalities on follow-up visits between studies and to obtain a standardized understanding of patients’ long-term symptoms from COVID-19. Second, we were not able to stratify the risk of PASC by severity of initial illness (for example, community-based vs hospitalized vs required care in an intensive care unit vs required invasive life-sustaining measures) or by preexisting comorbidities, patient age, or other factors that may affect an individual patient’s risk of PASC. Third, the lack of standard reporting also created differences in how PASC sequelae were analyzed. Fourth, many studies investigated the prevalence of specific outcomes instead of reporting all symptoms present at various points post-COVID-19 infection. This limits the ability for a comprehensive, generalizable analysis of the long-term effects of COVID-19. Fifth, many studies included in this analysis were obtained from manual searching through references. This might suggest a need for improved database search terms for subsequent studies.

    Conclusions

    These findings suggest that PASC is a multisystem disease, with high prevalence in both short-term and long-term periods. These long-term PASC effects occurred on a scale sufficient to overwhelm existing health care capacity, particularly in resource-constrained settings. Moving forward, clinicians may consider having a low threshold for PASC and must work toward a holistic clinical framework to deal with direct and indirect effects of SARS-CoV-2 sequalae.

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    Article Information

    Accepted for Publication: August 5, 2021.

    Published: October 13, 2021. doi:10.1001/jamanetworkopen.2021.28568

    Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Groff D et al. JAMA Network Open.

    Corresponding Author: Vernon M. Chinchilli, PhD, Department of Public Health Sciences, Penn State College of Medicine and Milton S. Hershey Medical Center, 90 Hope Dr, Ste 2400, Hershey, PA 17033-0855 (vchinchi@psu.edu).

    Author Contributions: Dr P. Ssentongo had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Mss Groff and Sun and Dr A. Ssentongo contributed equally to this study and are joint first authors. Drs P. Ssentongo and Chinchilli contributed equally to this study and are joint senior authors.

    Concept and design: Groff, Sun, A. Ssentongo, Ba, Lekoubou, P. Ssentongo, Chinchilli.

    Acquisition, analysis, or interpretation of data: Groff, Sun, A. Ssentongo, Ba, Parsons, Poudel, Oh, Ericson, P. Ssentongo, Chinchilli.

    Drafting of the manuscript: Groff, Sun, A. Ssentongo, Parsons, Oh, P. Ssentongo, Chinchilli.

    Critical revision of the manuscript for important intellectual content: Groff, Sun, A. Ssentongo, Ba, Poudel, Lekoubou, Oh, Ericson, P. Ssentongo, Chinchilli.

    Statistical analysis: Groff, Sun, A. Ssentongo, Ba, P. Ssentongo, Chinchilli.

    Obtained funding: Poudel.

    Administrative, technical, or material support: A. Ssentongo, Parsons, Chinchilli.

    Supervision: A. Ssentongo, Ericson, P. Ssentongo, Chinchilli.

    Conflict of Interest Disclosures: Dr Ericson reported consulting for Allergan outside the submitted work. No other disclosures were reported.

    Funding/Support: Dr Ssentongo was supported by a US National Institutes of Health Director’s Transformative Award, No. 1R01AI145057.

    Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

    Additional Information: R code and data to reproduce the results in the present manuscript are archived at GitHub (https://github.com/ssentongojeddy/Post-Acute-Sequelae-of-SARS-CoV-2-Infection).

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