Abstract
Objective
To investigate the post‐COVID‐19 long‐term complications or long COVID of various organ systems in patients after 3 months of the infection, specifically before the Omicron variant, with comparative literature analysis.
Methods
A systemic literature search and meta‐analysis were conducted using multiple electronic databases (PubMed, Scopus, Cochrane library) with predefined search terms to identify eligible articles. Eligible studies reported long‐term complications of COVID‐19 infection before the Omicron variant infection. Case reports, case series, observational studies with cross‐sectional or prospective research design, case–control studies, and experimental studies that reported post‐COVID‐19 complications were included. The complications reported after 3 months after the recovery from COVID‐19 infection were included in the study.
Results
The total number of studies available for analysis was 34. The effect size (ES) for neurological complications was 29% with 95% confidence interval (CI): 19%–39%. ES for psychiatric complications was 24% with 95% CI: 7%–41%. ES was 9% for cardiac outcomes, with a 95% CI of 1%–18%. ES was 22%, 95% CI: 5%–39% for the gastrointestinal outcome. ES for musculoskeletal symptoms was 18% with 95% CI: 9%–28%. ES for pulmonary complications was 28% with 95% CI: 18%–37%. ES for dermatological complications was 25%, with a 95% CI of 23%–26%. ES for endocrine outcomes was 8%, with a 95% CI of 8%–9%. ES size for renal outcomes was 3% with a 95% CI of 1%–7%. At the same time, other miscellaneous uncategorized outcomes had ES of 39% with 95% CI of 21%–57%. Apart from analyzing COVID‐19 systemic complications outcomes, the ES for hospitalization and intensive care unit admissions were found to be 4%, 95% CI: 0%–7%, and 11% with 95% CI: 8%–14%.
Conclusion
By acquiring the data and statistically analyzing the post‐COVID‐19 complications during the prevalence of most virulent strains, this study has generated a different way of understanding COVID‐19 and its complications for better community health.
Keywords: COVID‐19 complications, long COVID, Meta‐analysis, Post COVID‐19, SARS‐CoV‐2 sequelae
1. INTRODUCTION
World Health Organization (WHO) has developed a term for post‐COVID‐19 conditions as “long COVID,” defined as coronavirus symptoms that persist or return 3 months after a person becomes ill from infection SARS‐CoV‐2, commonly known as COVID‐19. 1 The most common are headache, fatigue, insomnia, cognitive impairment, posttraumatic stress disorder (PTSD), loss of taste and smell, with heart and kidney problems as well. 1
Since March 11, 2020, COVID‐19 has been declared a pandemic that has affected the medical community and economy worldwide. Moreover, till now, the world has been struggling to overcome the disease and its aftermath. Initially, many acute cases of COVID‐19 have overwhelmed healthcare resources worldwide, especially the intensive care unit (ICU) departments, and the recovered cases with post‐COVID‐19 complications have created a challenge for healthcare workers. 2 Currently, long COVID is a situation of concern for a healthy community 3 as estimates of the population that experience post‐COVID‐19 conditions are roughly 13.3% after 1 month of infection, 2.5% after 3 months or longer while more than 30% after 6 months in hospitalized patient, respectively. 4
Highly infectious and virulent variants of COVID‐19, that is, Alpha (B.1.1.7), Beta (B.1.351), and Delta (B.1.617.2) and later its variant AY.4.2, sometimes known as delta plus were seen earlier in the course of the pandemic. COVID‐19 alpha variant was first reported in Great Britain, a Beta variant in South Africa, and a delta in India in the late 2020s. 5 Later, these variants were also found in other parts of the world due to high infectivity rates. These variants are considered more contagious and virulent, with a greater risk of hospitalization and death. 5 Moreover, this poses a higher risk of increased morbidity and mortality to the community. 5
On the contrary, the COVID‐19 Omicron variant is considered relatively less virulent owing to its genetic makeup, mutation, and the increased number of vaccinations across the globe. 6 , 7 , 8 COVID‐19 mainly affects the respiratory system and commonly presents as fever, cough, and upper respiratory tract infection (URTI). Shortness of breath but other unrelated clinical signs and symptoms such as decreased appetite, anosmia, diarrhea, electrolyte imbalance such as hyponatremia, acute renal failure, fatal thromboembolic complications like stroke, myocardial infarction, pulmonary embolism, and deep venous thrombosis are reported in the literature as well. 9 , 10 , 11 , 12 , 13 , 14 COVID‐19 has the propensity to cause multiorgan damage through various pathophysiological mechanisms, but the most prominent ones are the cytokine storm and dysregulated immunity. 15 Many patients have recovered from the infection. However, COVID‐19 recovered cases have ongoing sequelae of the disease, including psychological complications such as anxiety, depression, insomnia, PTSD, normal daily functioning, and so on, thus causing ongoing utilization of health resources in dealing with its aftermath. The literature is being updated now and then by the scientific community to understand and overcome the chaotic situation caused by COVID‐19 sequelae. COVID‐19‐associated signs, symptoms, complications, and outcomes have been reported in various segregated studies, but most of the reported long COVID‐19 symptoms/complications were without highlighting strain prevalence. We aim to integrate post‐COVID‐19 complications after 3 months of the infection through our meta‐analysis until late 2021, when alpha, beta, and delta variants were prevalent.
2. METHODOLOGY
2.1. Search strategy, study selection, and data collection
A systemic literature search and meta‐analysis were conducted using multiple electronic databases (PubMed, Scopus, Cochrane library) with predefined search terms to identify eligible articles. Eligible studies reporting long‐term complications of COVID‐19 infection before the Omicron variant infection worldwide, including case reports, case series, observational studies with cross‐sectional or prospective research design, case–control studies, and experimental studies that reported post‐COVID‐19 complications, were included. The complications reported after 3 months after the recovery from COVID‐19 infection were included in the study. The following search term will be used: (“Post COVID”) OR (“Post Covid‐19”) OR (“Post coronavirus”) OR (“After COVID”) OR (“Post Severe acute respiratory syndrome coronavirus [SARS‐CoV‐2]”) OR (“After SARS‐CoV‐2”) AND (“Complications”) AND (“sequelae”). This protocol follows MOOSE Guidelines for Meta‐Analyses and Systematic Reviews of Observational Studies and the PRISMA‐P (Preferred Reporting Items for Systematic Reviews and Meta‐Analyses) guidelines. 16 , 17
2.2. Inclusion criteria and exclusions criteria
Eligible studies should report the complications of COVID‐19 infection in patients who recovered from the infection. All literature, including clinical trials, case reports, case series, and observational studies (retrospective and prospective) from any date till March 2021 in the English language, will be included. Studies in languages other than English will not be included. The study population will include pediatric (≤18 years) as well as adult (>18 years) patients who developed long‐term complications of COVID‐19 infection. The included patients should have a confirmed diagnosis of SARS‐CoV‐2 infection and should have a documented recovery confirmed with a negative reverse transcription polymerase chain reaction (RT‐PCR). Patients should have a complication in any system at least 3 months after the first positive RT‐PCR. Exclusion criteria include patients with COVID‐19 who did not have a positive RT‐PCR upon diagnosis, those who had complications during the infection (defined by a positive RT‐PCR), and those who had the onset of complications in less than 3 months of the positive RT‐PCR.
2.3. Quality assessment
Two reviewers independently evaluated study quality using the statistical methodology and categories guided by the Cochrane Collaboration Handbook and PRISMA guidelines (Figure 1). The protocol is registered at the International Prospective Register of Systematic Reviews (registration number: CRD42021240027).
Figure 1.

PRISMA 2009 flow diagram. From: Moher et al. 16 (for more information, visit: www.prisma-statement.org).
2.4. Data synthesis and statistical analysis
Results were analyzed descriptively, and meta‐analysis was conducted to derive the pooled proportions and effect estimates. We used pooled proportional analysis using STATA software with the command “Metaprop.” The total number of studies was 34, with a total cohort of 247,209 patients. We excluded case reports and case series during the analysis because of concerns regarding the precision and potential bias of prevalence estimates. We compared studies with the number of patients having each outcome available. Random effects single‐arm meta‐analysis of proportions were performed. The pooled effect sizes (ESs) for post‐COVID‐19 systemic complications were represented as forest plots and included neurological, psychiatric, cardiac, gastrointestinal, musculoskeletal, pulmonary, dermatological, endocrine, renal, and other systemic complications, respectively. Furthermore, hospitalizations and ICU admission were also analyzed and interpreted using Forest Plot. Hedge's I 2 statistic assessed the heterogeneity of study estimates.
3. RESULTS
The total number of studies available for analysis was 34, and the studies that reported patient outcomes have been included for pooled proportion from a single‐arm meta‐analysis of proportions of various long‐term COVID outcomes. Most studies were conducted in China, the United States, and France, while other countries like the United Kingdom, India, Germany, Singapore, Sweden, Norwegian, Denmark, and Italy were also included. The mean age of the population ranged from 18 to 55 ± 10 years. Heterogeneity among the studies was found to be above 90%. The ES for neurological complications was 29%, with a confidence interval (CI): of 19%–39%. ES for psychiatric complications was 24% with CI: 7%–41%. ES was 9% for cardiac outcomes, with a CI of 1%–18%. For gastrointestinal outcome, ES was 22%, CI: 5%–39%. ES for musculoskeletal symptoms was 18% with CI: 9%–28%. ES for pulmonary complications was 28% with CI: 18%–37%. ES for dermatological complications was 25% with CI: of 23%–26%. ES for endocrine outcomes was 8% with CI: 8%–9%. ES size for renal outcomes was 3% with CI: 1%–7%. At the same time, other miscellaneous uncategorized outcomes had ES of 39% with CI: 21%–57%. Apart from analyzing COVID‐19 systemic complications outcomes, the ES for hospitalization and ICU admissions was found to be 4%, CI: 0%–7%, and 11% with CI: 8%–14%. The pooled proportional analysis is mentioned in the forest plot (Figure 2).
Figure 2.
Pooled proportions from single‐arm meta‐analysis of proportions of various long‐term COVID outcomes.


4. DISCUSSION
The term “long COVID” by WHO was introduced in late 2021, and the patients who develop symptoms post‐COVID‐19 are considered “long haulers” 18 while the Omicron variant was early detected in November 2021 in Botswana (a landlocked country in Southern Africa) 19 thereby showing that the patients who were infected since the declaration of the pandemic on March 11, 2020 20 had persistent debilitating post‐COVID‐19 symptoms, thus leading to the introduction of “long COVID.” As of July 28, 2022, there are 571,198,904 confirmed cases of COVID‐19, including 6,387,863 deaths, reported to WHO. Moreover, as of July 26, 2022, 12,248,795,623 vaccine doses have been administered. 21 As the acute cases of COVID‐19 are resolving, there is a high likelihood of having post‐COVID‐19 complications, especially those with moderate to severe symptoms and prolonged hospital course 22 ; however, people with mild symptoms tend to develop long COVID as well. 18 Therefore, it needs attention and awareness for better community health. There are different waves of COVID‐19 globally, and the only hope is available in mass vaccination, face masks, and social distancing. 13 , 23 , 24 , 25
4.1. COVID‐19 pathophysiology with effect on multiorgans and possible etiology of long COVID
COVID‐19 primarily affects the respiratory system. It has been observed in various studies that the virus attaches to the respiratory epithelium through spikes membrane protein and host protease, TMPRSS2, revealing the fusion domain of the spike protein allowing attachment to the angiotensin‐converting enzyme‐2 (ACE2) receptor on the host cell leading to endocytosis, releasing of the viral genome into the host cell thus incorporating virus into the host cellular machinery to replicate/release viral particles extracellularly, thus infecting neighboring cells. 26 SARs COV‐2 virus potentially targets several areas of the body where ACE‐2 receptors are expressed, such as type‐2 pneumocytes, alveolar macrophages in the lungs, enterocytes of intestines, biliary epithelium, nasal epithelium, and hepatocytes. 26 , 27 , 28 The damage caused by the virus itself is limited. However, significant cytotoxic and multiorgan damage is caused by dysregulated or hyperimmune response through cytokine release storm that contributes to increased mortality and morbidity. 15 Increased proliferation of the T cells, natural killer cells, macrophages, and most importantly, mast cell activation, has a potential role in releasing various chemokines and activating pro‐inflammatory cells, resulting in tissue damage. 15 , 29
Furthermore, this inflammatory response creates an imbalance in the coagulation cascade and creates a life‐threatening risk of thrombosis that can ensue in the form of stroke, myocardial infarction, pulmonary embolism, deep venous thromboembolism, and even sudden cardiac arrest and death. 12 , 13 , 14 , 30 Dysregulated immunity due to COVID‐19 is responsible for acute damage in various organ systems and has been shown to play a potential role in post‐COVID‐19 complications and long‐term effects. 31 , 32 Other possible theories include autoimmunity, endothelial dysfunction, occult viral persistence, and coagulation activation leading to multiorgan damage. 33 Data regarding the long COVID is quite heterogeneous due to different patient analyses and time frames. Therefore the etiology is still unclear and thus creates a dilemma for management. 32
4.2. Current literature review of post‐COVID‐19 sequelae and our study findings
Upon literature review of systematic reviews and meta‐analysis of post‐COVID‐19 complications for comparative analysis with our study, it was acknowledged that few of them had mentioned post‐COVID‐19 general systemic complications and with a specific timeframe of postrecovery. Lopez‐Leon et al. have reported more than 50 long COVID symptoms, being fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%) as the most common ones while others also include cough, chest discomfort, sleep apnea, reduced pulmonary diffusing capacity, anxiety, depression, attention deficit, arrhythmias, myocarditis, loss of taste and smell, tinnitus, and so on. 34 In a systematic review by Han et al., the pooled prevalence of fatigue/weakness (28%) and dyspnea/breathlessness (18%) was found to be in 8591 COVID‐19 survivors at 1‐year follow‐up raising further concerns of long COVID management. 35 In a systematic review by Michelin et al., characteristics of long COVID were studied. Sixty physical and psychological signs and symptoms with wide prevalence were reported. The most common were weakness, general malaise, fatigue, decreased quality of life, concentration impairment, reduced pulmonary function, and breathlessness. 36 These significant studies reported long COVID symptoms to raise awareness and concerns.
Our study has consolidated the symptoms according to the specific organ/system involved, as mentioned in Table 1, cementing the evidence of long COVID. Furthermore, we aimed to analyze those studies when COVID‐19 most virulent strains were common. We have found that other miscellaneous uncategorized systemic complications, pulmonary and neurological complications, were the most commonly reported ones, followed by dermatological, psychiatry, gastrointestinal, musculoskeletal, cardiac, endocrine, and renal systems. Neurological symptoms included headache, dizziness, brain fog, anosmia, dysgeusia/ageusia, myalgia, dizziness, numbness/tingling sensation in different regions of the body, blurred vision, Guillain–Barré syndrome (GBS), cognitive impairment of various degrees, stroke, dementia, intracranial hemorrhage, and encephalopathy. Some rare neurological complications that are of value to highlight are critical illness polyneuromyopathy (CIPM), akinetic mutism, acute necrotizing encephalopathy, transverse myelitis (autoimmune‐mediated, central nervous system [CNS]) and meralgia paresthetica (treatment‐related, peripheral nervous system [PNS]), worsening of autism, increase in tics and magnetic resonance imaging brain findings of a decrease in cortical thickness, changes in cerebral blood flow and white matter changes, especially in the frontal and limbic system. The most commonly reported pulmonary complications were dyspnea, productive cough, pneumonia, pulmonary embolism, lung fibrotic changes, or findings resembling interstitial lung disease on computed tomography chest. Miscellaneous systemic complications that we were unable to categorize were mainly low‐grade fever, lymphadenopathy, deep venous thrombosis, obstructive apnea/hypopnea syndrome, nocturnal sleep hypoxemia, dysphoria, sweating, pain and discomfort, the decline in ability in self‐care, a major change in mobility, a decline in performing usual activities, moderate hypogeusia. In one prospective observation study, retroperitoneal bleeding was also reported. Dermatological complications were mainly skin rash and hair loss.
Table 1.
Pooled proportions from single‐arm meta‐analysis of proportions of various long‐term COVID outcomes for cohort/cross‐sectional studies.
| Outcomes | Number of studies included in the analysis | Results (random effects) | |
|---|---|---|---|
| Pooled effect size (proportion) | 95% CI | ||
| Neurological | 9 | 0.29 | 0.19–0.39 |
| Psychiatric | 7 | 0.24 | 0.07–0.41 |
| Cardiac | 3 | 0.09 | 0.01–0.18 |
| Gastrointestinal | 4 | 0.22 | 0.05–0.39 |
| Musculoskeletal | 6 | 0.18 | 0.09–0.28 |
| Pulmonary | 10 | 0.28 | 0.18–0.37 |
| Endocrine | 2 | 0.08 | 0.08–0.09 |
| Renal | 3 | 0.03 | 0.01–0.07 |
| Dermatological | 2 | 0.25 | 0.23–0.26 |
| Other systems | 10 | 0.39 | 0.21–0.57 |
| Hospitalizations | 4 | 0.04 | 0.00–0.07 |
| ICU admissions | 5 | 0.11 | 0.08–0.14 |
Abbreviations: CI, confidence interval; ICU, intensive care unit.
In comparison, psychiatric complications include anxiety, depression, sleep disturbances, cognitive impairment, angry mood, and posttraumatic stress disorder. Cardiac complications included chest pain, palpitations, perimyocarditis, and myocarditis. Gastrointestinal complications included diarrhea/vomiting, sore throat, dysphagia, abdominal pain, gastroparesis, anorexia, and constipation. Renal complications were acute renal failure with or without dialysis dependency and acute kidney injury. Endocrine complications included new‐onset diabetes mellitus, increasing morbidity and mortality risk. Musculoskeletal complications included mainly muscle weakness, fatigue, joint pains, a decline in mobility, and persistent generalized fatigue/weakness.
4.3. The dilemma of management for long COVID‐19
There is limited data regarding the management of post‐COVID symptoms as there is no diagnostic tool or criteria for it, and patients come with various symptoms that may also be related to other diseases. 4 , 37 Specific centers such as the University of California and Los Angeles (UCLA) and Health and Human Services (HHS) in the United States have taken some initiatives for referring patients with long‐haul symptoms of COVID‐19 to primary healthcare and provision of services such as support and counseling, physical and pulmonary rehabilitation, and so on. 38 , 39 The management is based on individual patient‐guided symptomatology. 37 Besides condition‐guided management, The National Institute for Health and Care Excellence's (NICE) guidelines can be considered for its management as shown in Figure 3, NICE guideline algorithm for long COVID. 40 However, CDC USA (Center for Disease Control and Prevention) and other federal agencies are working to understand long COVID through further studies and research data and planning to release the management strategy soon. 40
Figure 3.

NICE guidelines for management of long COVID.
4.4. Strength and limitations
Our study has managed to integrate the organ‐specific system‐wise post‐COVID‐19 complications. We addressed mainly the timeline of COVID‐19 when the virulent strains were prevalent, that is, until mid‐late 2021 before the emergence of the Omicron variant, which was declared by WHO in November 2021. 41 Our sample size was adequate and therefore is the study's main strength. Comparative analysis with other studies has consolidated our study's findings of post‐COVID‐19 complications, thus improving the literature. At the same time, we addressed some rare unreported symptoms post‐COVID‐19, such as CIPM, akinetic mutism, acute necrotizing encephalopathy, transverse myelitis (autoimmune‐mediated, CNS) and meralgia paresthetica (treatment‐related, PNS), worsening of autism, increase in tics and MRI brain findings of a decrease in cortical thickness, changes in cerebral blood flow and white matter changes, nocturnal sleep disturbances, autism spectrum disorder, nondermatomal altered sensations, abnormal sperm morphology, and personality change like anger, personality, and so on.
Several limitations of the studies are noted. First, our study has a heterogeneous population due to the different quality of articles, types of studies, and methodology. Heterogeneity was above 90% in significant studies, which is considered high. It was interpreted as I 2 < 25%, 25%–50%, 50%–75%, and >75%, which indicates no, low, moderate, and high between‐study heterogeneity. 42 Further, we could not correlate COVID‐19 symptomatology with comorbidities and severity of COVID‐19 illness due to a lack of reporting in some studies. Case reports and series were not analyzed due to the risk of precision bias and comparison with other patient‐reported outcomes studies. There was no reporting of follow‐up in some studies, which is a limitation. Most studies did not discuss the further management plan, which is an essential task in this regard.
5. CONCLUSION
Long COVID concerns the scientific community due to insufficient data and evidence. Due to the vague presentation of post‐COVID‐19 symptoms, it is likely to be underreported and documented, leading to underestimation. Through our study, we aim to report the systemic complications of post‐COVID‐19 and highlight the prevalence of virulent strains, that is, delta, alpha, and beta variants as the possible contribution of such outcomes, which will further add to the current literature for better understanding. Such studies can be considered a milestone in providing insight for developing future management strategies for long COVID. Further, similar studies regarding long COVID and categorizing COVID‐19 strains and the effect of mass vaccinations can guide the community to provide better health.
AUTHOR CONTRIBUTIONS
Phool Iqbal: Data curation; formal analysis; methodology; project administration; supervision; validation; writing—original draft; writing—review and editing. Fateen Ata: Conceptualization; data curation; investigation; methodology; project administration; supervision; writing—original draft; writing—review and editing. Hassan Chaudhry: Data curation; formal analysis; investigation; methodology; visualization; writing—review and editing. Bassam Muthanna: Data curation; methodology; writing—review and editing. Hafiz Waqas Younas: Data curation; writing—original draft; writing—review and editing. Syed Ata ul Munamm: Data curation; formal analysis; methodology; software. Rohit Sharma: Formal analysis; writing—original draft. Kahtan Fadah: Writing—review and editing. Shereen Elazzazy: Data curation. Anas Hamad: Data curation. Osama Said Abu Tabar: Data curation. Nabil E. Omar: Conceptualization.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
ETHICS STATEMENT
Private information from individuals will not be published. This systematic review also does not involve endangering participant rights. Ethical approval was not required. It is a meta‐analysis with literature review therefore consent is not required for the article.
TRANSPARENCY STATEMENT
The lead author Fateen Ata affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
ACKNOWLEDGMENTS
We want to thank Dr. Fathima Minisha, MBBS, MRCOG, MSc, Specialist Ob‐Gyne at Women's Wellness and Research Centre, Hamad Medical Corporation, Doha; MSc Epidemiology student at London School of Hygiene and Tropical Medicine and Dr. Bede N. Nriagu MD, MPH, New York Medical College/Metropolitan Hospital center for their contribution and guidance. Open Access funding provided by the Qatar National Library.
Iqbal P, Ata F, Chaudhry H, et al. Post‐COVID‐19‐associated multiorgan complications or “long COVID” with literature review and management strategy discussion: a meta‐analysis. Health Sci Rep. 2023;6:e1211. 10.1002/hsr2.1211
DATA AVAILABILITY STATEMENT
Data availability is with the open‐access platform of the journal and in the Supporting Information: Material.
REFERENCES
- 1. Long COVID: long‐term effects of COVID‐19 . Johns Hopkins Medicine. Accessed August 1, 2022. . Accessed August 1, 2022. (june, 2022) https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/covid-long-haulers-long-term-effects-of-covid19
- 2. Sabetkish N, Rahmani A. The overall impact of COVID‐19 on healthcare during the pandemic: a multidisciplinary point of view. Health Sci Rep. 2021;4(4). 10.1002/HSR2.386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Couzin‐Frankel J. Clues to long COVID. Science. 2022;376(6599):1261‐1265. 10.1126/SCIENCE.ADD4297 [DOI] [PubMed] [Google Scholar]
- 4. Long COVID or post‐COVID conditions . CDC. Accessed August 9, 2022. https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
- 5. Omicron, Delta, Alpha, and More: what to know about the coronavirus variants . Yale Medicine. Accessed July 27, 2022. Accessed July 27, 2022. https://www.yalemedicine.org/news/covid-19-variants-of-concern-omicron
- 6. Brüssow H. COVID‐19: Omicron—the latest, the least virulent, but probably not the last variant of concern of SARS‐CoV‐2. Microb Biotechnol. 2022;15(7):1927‐1939. 10.1111/1751-7915.14064 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Martins M, do Nascimento GM, Nooruzzaman M, et al. The Omicron variant BA.1.1 presents a lower pathogenicity than B.1 D614G and Delta variants in a feline model of SARS‐CoV‐2 infection. bioRxiv. 2022. 10.1101/2022.06.15.496220 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Chandrashekar A, Yu J, McMahan K, et al. Vaccine protection against the SARS‐CoV‐2 Omicron variant in macaques. Cell. 2022;185(9):1549‐1555. 10.1016/J.CELL.2022.03.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Nersesjan V, Amiri M, Lebech AM, et al. Central and peripheral nervous system complications of COVID‐19: a prospective tertiary center cohort with 3‐month follow‐up. J Neurol. 2021;268(9):3086‐3104. 10.1007/S00415-020-10380-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Frontera JA, Valdes E, Huang J, et al. Prevalence and impact of hyponatremia in patients with coronavirus disease 2019 in New York City. Crit Care Med. 2020;48(12):e1211‐e1217. 10.1097/CCM.0000000000004605 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Puntmann VO, Carerj ML, Wieters I, et al. Outcomes of cardiovascular magnetic resonance imaging in patients recently recovered from coronavirus disease 2019 (COVID‐19). JAMA Cardiol. 2020;5(11):1265‐1273. 10.1001/JAMACARDIO.2020.3557 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Iqbal DEFP, Laswi BE, Bilal Jamshaid ME, et al. The role of anticoagulation in post‐COVID‐19 concomitant stroke, myocardial infarction, and left ventricular thrombus: a case report. Am J Case Rep. 2021;22:e928852. 10.12659/AJCR.928852 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Huang C, Huang L, Wang Y, et al. 6‐month consequences of COVID‐19 in patients discharged from hospital: a cohort study. The Lancet. 2021;397(10270):220‐232. 10.1016/S0140-6736(20)32656-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Demelo‐Rodríguez P, Ordieres‐Ortega L, Ji Z, et al. Long‐term follow‐up of patients with venous thromboembolism and COVID‐19: analysis of risk factors for death and major bleeding. Eur J Haematol. 2021;106(5):716‐723. 10.1111/EJH.13603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Afrin LB, Weinstock LB, Molderings GJ. Covid‐19 hyperinflammation and post‐Covid‐19 illness may be rooted in mast cell activation syndrome. Int J Infect Dis. 2020;100:327‐332. 10.1016/J.IJID.2020.09.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta‐analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. 10.1371/JOURNAL.PMED.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Stroup DF, Berlin JA, Morton SC, et al. Meta‐analysis of observational studies in epidemiology: a proposal for reporting. meta‐analysis of observational studies in epidemiology (MOOSE) group. JAMA. 2000;283(15):2008‐2012. 10.1001/JAMA.283.15.2008 [DOI] [PubMed] [Google Scholar]
- 18.Coronavirus disease (COVID‐19): post COVID‐19 condition. World Health Organization. Accessed August 1, 2022. https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-(covid-19)-post-covid-19-condition
- 19.Omicron variant: what you need to know. CDC. Accessed July 28, 2022. https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
- 20. Iqbal P, Laswi B, Jamshaid MB, et al. The role of anticoagulation in post‐COVID‐19 concomitant stroke, myocardial infarction, and left ventricular thrombus: a case report. Am J Case Rep. 2021;22(1):928852. 10.12659/AJCR.928852 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.WHO coronavirus (COVID‐19) dashboard with vaccination data. WHO. Accessed July 28, 2022. https://covid19.who.int/
- 22.Long COVID or post‐COVID conditions. CDC. Accessed July 30, 2022. https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
- 23. Xiong Q, Xu M, Li J, et al. Clinical sequelae of COVID‐19 survivors in Wuhan, China: a single‐centre longitudinal study. Clin Microbiol Infect. 2021;27(1):89‐95. 10.1016/J.CMI.2020.09.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Denina M, Pruccoli G, Scolfaro C, et al. Sequelae of COVID‐19 in hospitalized children: a 4‐months follow‐up. Pediatr Infect Dis J. 2020;39(12):e458‐e459. 10.1097/INF.0000000000002937 [DOI] [PubMed] [Google Scholar]
- 25. Ge Y, Zhang WB, Liu H, et al. Effects of worldwide interventions and vaccination on COVID‐19 between waves and countries. medRxiv. 2021. 10.1101/2021.03.31.21254702 [DOI] [Google Scholar]
- 26. McDonald LT. Healing after COVID‐19: are survivors at risk for pulmonary fibrosis? Am J Physiol Lung Cell Mol Physiol. 2021;320(2):L257‐L265. 10.1152/AJPLUNG.00238.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Alhassan SM, Iqbal P, Fikrey L, et al. Post COVID 19 acute acalculous cholecystitis raising the possibility of underlying dysregulated immune response, a case report. Ann Med Surg. 2020;60:434‐437. 10.1016/J.AMSU.2020.11.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Han MW, Wang M, Xu MY, Qi WP, Wang P, Xi D. Clinical features and potential mechanism of coronavirus disease 2019‐associated liver injury. World J Clin Cases. 2021;9(3):528‐539. 10.12998/WJCC.V9.I3.528 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Ortelli P, Ferrazzoli D, Sebastianelli L, et al. Neuropsychological and neurophysiological correlates of fatigue in post‐acute patients with neurological manifestations of COVID‐19: insights into a challenging symptom. J Neurol Sci. 2021;420:117271. 10.1016/J.JNS.2020.117271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Hall J, Myall K, Lam JL, et al. Identifying patients at risk of post‐discharge complications related to COVID‐19 infection. Thorax. 2021;76(4):408‐411. 10.1136/THORAXJNL-2020-215861 [DOI] [PubMed] [Google Scholar]
- 31. Ryan FJ, Hope CM, Masavuli MG, et al. Long‐term perturbation of the peripheral immune system months after SARS‐CoV‐2 infection. BMC Med. 2022;20(1):26. 10.1186/S12916-021-02228-6/FIGURES/4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. RACGP . Even mild COVID can have ‘lasting’ effects on immune system: study. Accessed July 31, 2022. https://www1.racgp.org.au/newsgp/clinical/even-mild-covid-cases-can-have-lasting-effects-on
- 33. Castanares‐Zapatero D, Chalon P, Kohn L, et al. Pathophysiology and mechanism of long COVID: a comprehensive review. Ann Med. 2022;54(1):1473‐1487. 10.1080/07853890.2022.2076901 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Lopez‐Leon S, Wegman‐Ostrosky T, Perelman C, et al. More than 50 long‐term effects of COVID‐19: a systematic review and meta‐analysis. Sci Rep. 2021;11(1):16144. 10.1038/s41598-021-95565-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Han Q, Zheng B, Daines L, Sheikh A. Long‐term sequelae of COVID‐19: a systematic review and meta‐analysis of one‐year follow‐up studies on post‐COVID symptoms. Pathogens. 2022;11(2):269. 10.3390/PATHOGENS11020269/S1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Michelen M, Manoharan L, Elkheir N, et al. Characterising long COVID: a living systematic review. BMJ Glob Health. 2021;6(9):e005427. 10.1136/BMJGH-2021-005427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Yelin D, Moschopoulos CD, Margalit I, et al. ESCMID rapid guidelines for assessment and management of long COVID. Clin Microbiol Infect. 2022;28(7):955‐972. 10.1016/J.CMI.2022.02.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Biden–Harris administration releases two new reports on long COVID to support patients and further research. HHS.gov . Accessed August 9, 2022. https://www.hhs.gov/about/news/2022/08/03/biden-harris-administration-releases-two-new-reports-long-covid-support-patients-further-research.html
- 39. Long COVID treatment . UCLA Health. Accessed August 9, 2022. https://www.uclahealth.org/medical-services/long-covid
- 40. Crook H, Raza S, Nowell J, Young M, Edison P. Long covid—mechanisms, risk factors, and management. BMJ. 2021;374:1648. 10.1136/BMJ.N1648 [DOI] [PubMed] [Google Scholar]
- 41. Al‐Tawfiq JA, Hoang VT, Le Bui N, Chu DT, Memish ZA. The emergence of the omicron (B.1.1.529) SARS‐CoV‐2 variant: what is the impact on the continued pandemic? J Epidemiol Glob Health. 2022;12(2):143‐146. 10.1007/s44197-022-00032-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta‐analysis. Stat Med. 2002;21(11):1539‐1558. 10.1002/sim.1186 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data availability is with the open‐access platform of the journal and in the Supporting Information: Material.
