Post COVID-19 Conditions: The New Challenge to Mankind

After the waves of acute COVID-19 that swept mankind in 2020 and 2021, now we are confronted with the challenge of post COVID-19 conditions. According to the definition, post COVID-19 conditions comprise all signs and symptoms of COVID-19 that persist after the acute phase (3-4 weeks), without an upper limit of duration (as for the present state of knowledge). The symptoms of post COVID-19 conditions are highly variable, could affect every system, often overlap, and typically fluctuate and change over time. In regard to this disease and its long-term burden, the Bulgarian Cardiac Institute initiated a campaign "Life after COVID-19" and the data we gathered showed that a substantial proportion of patients having suffered from COVID-19 continue to have persistent symptoms that require special medical attention. Our biggest concern was the acute vascular manifestations of post COVID-19 conditions, such as acute coronary syndromes and acute pulmonary embolism, and for these we shared our personal experience. Post COVID-19 conditions have and will have a major significance for the healthcare and economic systems in the upcoming years. This derives from the simple facts that it is highly prevalent, affects people regardless of age (including young and active people) or severity of the acute illness (even asymptomatic cases), and that we still must learn a lot about its pathogenesis, natural history, treatment, and prognosis. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Comparative study of quality of life 9 months post-COVID-19 infection with SARS-CoV-2 of varying degrees of severity: impact of hospitalization vs. outpatient treatment.

Purpose: This experimental study was conducted during the post-COVID-19 period to investigate the relationship between the quality of life 9 months after and the severity of the SARS-CoV-2 infection in two scenarios: hospitalization (with/without medical oxygen) and outpatient treatment. Methods: We employed the EQ-5D-5L Quality of Life tests and the PSQI as a survey to evaluate respondents' quality of life 9 months after a previous SARS-CoV-2 infection of varying severity. Results: We identified a clear difference in the quality of life of respondents, as measured on the 100-point scale of the EQ-5D-5L test, which was significantly lower 9 months after a previous SARS-CoV-2 infection for Group 1 (n = 14), respondents who had received medical attention for SARS-CoV-2 infection in a hospital with oxygen treatment, compared to those with the SARS-CoV-2 infection who were treated without oxygen treatment (Group 2) (n = 12) and those who were treated on an outpatient basis (Group 3) (n = 13) (H = 7.08 p = 0.029). There were no intergroup differences in quality of life indicators between hospitalized patients (Group 2) and groups 1 and 3. PSQI survey results showed that "mobility," "self-care," "daily activities," "pain/discomfort," and "anxiety/ depression" did not differ significantly between the groups, indicating that these factors were not associated with the severity of the SARS-CoV-2 infection. On the contrary, the respondents demonstrated significant inter-group differences (H = 7.51 p = 0.023) and the interdependence of respiratory difficulties with the severity of clinically diagnosed SARS-CoV-2 infection. This study also demonstrated significant differences in the values of sleep duration, sleep disorders, and daytime sleepiness indicators between the three groups of respondents, which indicate the influence of the severity of the infection. The PSQI test results revealed significant differences in "bedtime" (H = 6.00 p = 0.050) and "wake-up time" (H = 11.17 p = 0.004) between Groups 1 and 3 of respondents. At 9 months after COVID-19, respondents in Group 1 went to bed at a later time (pp = 0.02727) and woke up later (p = 0.003) than the respondents in Group 3. Conclusion: This study is the first of its kind in the current literature to report on the quality of life of respondents 9 months after being diagnosed with COVID-19 and to draw comparisons between cohorts of hospitalized patients who were treated with medical oxygen vs. the cohorts of outpatient patients. The study's findings regarding post-COVID-19 quality of life indicators and their correlation with the severity of the SARS-CoV-2 infection can be used to categorize patients for targeted post-COVID-19 rehabilitation programs.

Long COVID and Hybrid Immunity among Children and Adolescents Post-Delta Variant Infection in Thailand.

This study aimed to assess long COVID, and describe immunogenicity against Omicron variants following BNT162b2 vaccination. A prospective cohort study was conducted among children (aged 5-11) and adolescents (aged 12-17) who had SARS-CoV-2 infection from July to December 2021 (Delta predominant period). Long COVID symptoms were assessed by questionnaires at 3 months after infection. Immunogenicity was evaluated by using a surrogate virus-neutralizing antibody test (sVNT) against the Omicron variant. We enrolled 97 children and 57 adolescents. At 3 months, 30 children (31%) and 34 adolescents (60%) reported at least one long COVID symptom, with respiratory symptoms prevailing (25% children and 32% adolescents). The median time from infection to vaccination was 3 months in adolescents and 7 months in children. At 1 month following vaccination, in children who received one-dose and two-dose BNT162b2 vaccines, the median (IQR) sVNT against Omicron was 86.2% inhibition (71.1-91.8) and 79.2% inhibition (61.5-88.9), respectively (p = 0.26). Among adolescents who received one-dose and two-dose BNT162b2 vaccines, the median (IQR) sVNT against Omicron was 64.4% inhibition (46.8-88.8) and 68.8% inhibition (65.0-91.2) (p = 0.64). Adolescents had a higher prevalence of long COVID than children. Immunogenicity against the Omicron variant after vaccination was high and did not vary between one or two doses of the vaccine in either children or adolescents.

Burden of long COVID among adults experiencing sheltered homelessness: a longitudinal cohort study in King County, WA between September 2020-April 2022.

BACKGROUND: People experiencing homelessness (PEH) are at increased risk for acquiring SARS-CoV-2, but the burden of long COVID in this population is unknown. METHODS: We conducted a matched prospective cohort study to assess the prevalence, characteristics, and impact of long COVID among sheltered PEH in Seattle, WA between September 2020-April 2022. Adults ≥ 18 years, residing across nine homeless shelters with active respiratory virus surveillance, were eligible to complete in-person baseline surveys and interval follow-up phone surveys. We included a subset of 22 COVID-19-positive cases who tested positive or inconclusive for SARS-CoV-2 and 44 COVID-19-negative controls who tested negative for SARS-CoV-2, frequency matched on age and sex. Among controls, 22 were positive and 22 were negative for one of 27 other respiratory virus pathogens. To assess the impact of COVID-19 on the risk of symptom presence at follow-up (day 30-225 post-enrollment test), we performed log-linear regression with robust standard errors, adjusting for confounding by shelter site and demographic variables determined a priori. RESULTS: Of 53 eligible COVID-19 cases, 22 (42%) completed ≥ 1 follow-up survey. While five (23%) cases reported ≥ 1 symptom at baseline, this increased to 77% (10/13) between day 30-59 and 33% (4/12) day 90 + . The most commonly reported symptoms day 30 + were fatigue (27%) and rhinorrhea (27%), with 8 (36%) reporting symptoms that interfered with or prevented daily activities. Four (33%) symptomatic cases reported receiving medical care outside of a medical provider at an isolation facility. Of 44 controls, 12 (27%) reported any symptoms day 90 + . Risk of any symptoms at follow-up was 5.4 times higher among COVID-19 cases compared to controls (95% CI: 2.7-10.5). CONCLUSIONS: Shelter residents reported a high prevalence of symptoms 30 + days after their SARS-CoV-2 detection, though few accessed medical care for persistent illness. The impact of COVID-19 extends beyond acute illness and may exacerbate existing challenges that marginalized populations face in maintaining their health and wellbeing.

Transient Sideroblastic Anemia Post-COVID-19 Infection.

A 57-year-old gentleman presented to the hospital with progressive fatigue and dyspnea on exertion three months after recovering from COVID-19. He was noted to have severe anemia with reticulocytopenia. After excluding vitamin deficiencies and heavy metal toxicities, a bone marrow aspirate and biopsy were performed, which showed erythroid predominant trilineage maturing hematopoiesis with 79% ring sideroblasts and no dysplasia. SF3B1 mutation was negative. He was diagnosed with sideroblastic anemia and became transfusion-dependent. He was treated with an erythropoiesis-stimulating agent and luspatercept with transient improvement in anemia. After 12 months of treatment, anemia spontaneously improved. Repeat bone marrow biopsy showed hypercellular marrow with 39% ringed sideroblasts. We suspect that this possibly was a delayed manifestation of COVID-19 infection.

Association of laparoscopically-confirmed endometriosis with long COVID-19: a prospective cohort study.

BACKGROUND: Women are at greater risk than men of developing chronic inflammatory conditions and "long COVID." However, few gynecologic health risk factors for long COVID-19 have been identified. Endometriosis is a common gynecologic disorder associated with chronic inflammation, immune dysregulation, and comorbid presentation with autoimmune and clotting disorders, all of which are pathophysiological mechanisms proposed for long COVID-19. Therefore, we hypothesized that women with a history of endometriosis may be at greater risk of developing long COVID-19. OBJECTIVE: This study aimed to investigate the association between history of endometriosis before SARS-CoV-2 infection and risk of long COVID-19. STUDY DESIGN: We followed 46,579 women from 2 ongoing prospective cohort studies-the Nurses' Health Study II and the Nurses' Health Study 3-who participated in a series of COVID-19-related surveys administered from April 2020 to November 2022. Laparoscopic diagnosis of endometriosis was documented prospectively in main cohort questionnaires before the pandemic (1993-2020) with high validity. SARS-CoV-2 infection (confirmed by antigen, polymerase chain reaction, or antibody test) and long-term COVID-19 symptoms (≥4 weeks) defined by the Centers for Disease Control and Prevention were self-reported during follow-up. Among individuals with SARS-CoV-2 infection, we fit Poisson regression models to assess the associations between endometriosis and risk of long COVID-19 symptoms, with adjustment for potential confounding variables (demographics, body mass index, smoking status, history of infertility, and history of chronic diseases). RESULTS: Among 3650 women in our sample with self-reported SARS-CoV-2 infections during follow-up, 386 (10.6%) had a history of endometriosis with laparoscopic confirmation, and 1598 (43.8%) reported experiencing long COVID-19 symptoms. Most women were non-Hispanic White (95.4%), with a median age of 59 years (interquartile range, 44-65). Women with a history of laparoscopically-confirmed endometriosis had a 22% greater risk of developing long COVID-19 (adjusted risk ratio, 1.22; 95% confidence interval, 1.05-1.42) compared with those who had never been diagnosed with endometriosis. The association was stronger when we defined long COVID-19 as having symptoms for ≥8 weeks (risk ratio, 1.28; 95% confidence interval, 1.09-1.50). We observed no statistically significant differences in the relationship between endometriosis and long COVID-19 by age, infertility history, or comorbidity with uterine fibroids, although there was a suggestive trend indicating that the association may be stronger in women aged <50 years (<50 years: risk ratio, 1.37; 95% confidence interval, 1.00-1.88; ≥50 years: risk ratio, 1.19; 95% confidence interval, 1.01-1.41). Among persons who developed long COVID-19, women with endometriosis reported on average 1 additional long-term symptom compared with women without endometriosis. CONCLUSION: Our findings suggest that those with a history of endometriosis may be at modestly increased risk for long COVID-19. Healthcare providers should be aware of endometriosis history when treating patients for signs of persisting symptoms after SARS-CoV-2 infection. Future studies should investigate the potential biological pathways underlying these associations.

Symptom Profile of Patients With Post-COVID-19 Conditions and Influencing Factors for Recovery.

Background: The aim of the study was to examine the factors that influence the improvement of post-coronavirus disease 2019 (COVID-19) symptoms. Methods: We investigated the biomarkers and post-COVID-19 symptoms status of 120 post-COVID-19 symptomatic outpatients (44 males and 76 females) visiting our hospital. This study was a retrospective analysis, so we analyzed the course of symptoms only for those who could follow the progress of the symptoms for 12 weeks. We analyzed the data including the intake of zinc acetate hydrate. Results: The main symptoms that remained after 12 weeks were, in descending order: taste disorder, olfactory disorder, hair loss, and fatigue. Fatigue was improved in all cases treated with zinc acetate hydrate 8 weeks later, exhibiting a significant difference from the untreated group (P = 0.030). The similar trend was observed even 12 weeks later, although there was no significant difference (P = 0.060). With respect to hair loss, the group treated with zinc acetate hydrate showed significant improvements 4, 8, and 12 weeks later, compared with the untreated group (P = 0.002, P = 0.002, and P = 0.006). Conclusion: Zinc acetate hydrate may improve fatigue and hair loss as symptoms after contracting COVID-19.

A National Survey of Children, Adults, and the Elderly in the Fourth Wave of the COVID-19 Pandemic to Compare Acute and Post-COVID-19 Conditions in Saudi Arabia.

Background: The fight against COVID-19 appears to extend beyond screening and treatment of acute diseases to its medium- and long-term health consequences. Little is known about the epidemiology and the determinants of developing post-COVID-19 conditions (PCCs) among children. The aims of this study were to explore and determine the prevalence of PCCs among three age groups (children and adolescents, adults, and the elderly), and study the predictors of participants' return to their pre-COVID-19 health status among COVID-19 patients at least four weeks after they got sick, from February to 15 July 2022. Methods: This comparison survey study targeted 12,121 COVID-19 patients who fulfilled the selection criteria from the national register system and received a virtual assessment from the Medical Consultation Call Center (937), which was conducted by a well-trained family physician using a validated, well-structured assessment tool. The collected data were coded and analyzed using appropriate tests. Results: Out of the 12,121 recovered COVID-19 patients who received the virtual assessment calls, only 5909 (48.8%) agreed and completed the assessment. The majority of participants (4973, or 84.2%) reported no PCCs. The most common PCCs among young people were a cough, dyspnea, fatigue, and loss of appetite or weight loss, while among the elderly they were a cough, dyspnea, fatigue, stomachaches, poor concentration, sleep disturbance, and recurrent fever. Most post-COVID-19 cases require nothing more than reassurance and health education as only 384 (6.5%) required referral to primary health care centers (PHCCs.) The severity of COVID-19 infection, age group, sex, vaccination status, and body mass index were significant predictors for returning to the pre-infection health status and the required referral was significantly related to many factors. Conclusions: The comparison of children, adults, and the elderly with regard to the acute and post-COVID-19 conditions in Saudi Arabia in terms of the clinical health assessment and the required management plans showed significant differences.

Brain 18F-FDG PET imaging in outpatients with post-COVID-19 conditions: findings and associations with clinical characteristics.

BACKGROUND: Brain 18F-FDG PET imaging has the potential to provide an objective assessment of brain involvement in post-COVID-19 conditions but previous studies of heterogeneous patient series yield inconsistent results. The current study aimed to investigate brain 18F-FDG PET findings in a homogeneous series of outpatients with post-COVID-19 conditions and to identify associations with clinical patient characteristics. METHODS: We retrospectively included 28 consecutive outpatients who presented with post-COVID-19 conditions between September 2020 and May 2022 and who satisfied the WHO definition, and had a brain 18F-FDG PET for suspected brain involvement but had not been hospitalized for COVID-19. A voxel-based group comparison with 28 age- and sex-matched healthy controls was performed (p-voxel at 0.005 uncorrected, p-cluster at 0.05 FWE corrected) and identified clusters were correlated with clinical characteristics. RESULTS: Outpatients with post-COVID-19 conditions exhibited diffuse hypometabolism predominantly involving right frontal and temporal lobes including the orbito-frontal cortex and internal temporal areas. Metabolism in these clusters was inversely correlated with the number of symptoms during the initial infection (r = - 0.44, p = 0.02) and with the duration of symptoms (r = - 0.39, p = 0.04). Asthenia and cardiovascular, digestive, and neurological disorders during the acute phase and asthenia and language disorders during the chronic phase (p ≤ 0.04) were associated with these hypometabolic clusters. CONCLUSION: Outpatients with post-COVID-19 conditions exhibited extensive hypometabolic right fronto-temporal clusters. Patients with more numerous symptoms during the initial phase and with a longer duration of symptoms were at higher risk of persistent brain involvement.

A multidisciplinary approach to screen the post-COVID-19 conditions.

BACKGROUND: Post-COronaVIrus Disease 2019 (COVID-19) conditions (PCC) include multiple symptoms afflicting different organs and systems. To evaluate the frequency and type of them, we described our multidisciplinary approach with preliminary results of the first enrolled patients. METHODS: We included patients aged ≥ 18 years with hospital admission for confirmed SARS-CoV-2 infection. Symptoms were grouped in five macro groups hereafter referred to as "Symptoms Category" (SC): respiratory SC (dyspnoea or cough), neurological SC (peripheral neuropathies, headache, impaired mobility, behavioural disorders), psychological SC (sleep disorders, mood disorders), muscular SC (arthromyalgia, asthenia), other SC (fever, alopecia, diarrhoea, weight loss, smell and taste alterations, sexual dysfunctions). SC were evaluated at discharge and at follow-up. Association between patients' characteristics and presence of SC at follow up was estimated by a logistic multivariable regression model. RESULTS: From June 2020 to July 2021, we followed up 361 patients: 128 (35.5%) who were previously admitted to Intensive Care Unit (ICU) and 233 patients to ordinary department. The median length of hospital stay was 20 days (Inter-Quartile-Range 13-32). Most patients (317/361, 87.8%) were still symptomatic at discharge, with one third referring three or more SC. At follow up, 67.3% (243/361) of patients still complained at least one SC. Moreover, 159 patients (44%) developed at least one new involved SC during follow up: 116 (72.9%) one SC, 39 (24.5%) two SC, 4 (2.5%) three or more SC. At follow up visit 130 of 361 (36%) were still with SC developed during follow up. At multivariable analysis presence of any SC at follow-up was associated with male gender (Odds Ratio [OR] 3.23, Confidence Interval [CI] 95% 1.46-7.15), ICU admission (OR 2.78, CI 95% 1.29-5.96) and presence of SC at discharge (OR 14.39, CI 95% 6.41-32.32). CONCLUSIONS: In our sample of patients with severe COVID-19, we found that PCC are highly variable and fluctuating over time; in particular, in about 50% of our patients new SC appear during follow up. Moreover, presence of PCC also in patients without SC at discharge and the variability of symptoms underlining the advisability of our multidisciplinary approach. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT04424992, registered on 28 February 2020 https://www. CLINICALTRIALS: gov/ct2/results?recrs=ab&cond=&term=NCT04424992&cntry=&state=&city=&dist The current version of protocol is version 1.0 enrolling since June 2020. The enrollment is still ongoing.

Post-COVID-19 Assessment of Physical, Psychological, and Socio-Economic Impact on a General Population of Patients From Odisha, India.

AIM:  This prospective cross-sectional study evaluated the physical, psychological, and socioeconomic impacts of post-COVID-19 conditions (PCC) in a generalized population from Odisha, India. MATERIALS AND METHODS:  The study protocol and clinical record form (CRF) were approved by the Institutional Ethics Committee. Those above 18 years and of all genders who had recovered in the last six months, whether hospitalized or not hospitalized after the COVID-19 diagnosis, were included in our study. RESULTS:  A total of 198 persons with a median age of 41 years (18-87 years) were enrolled at the post-Covid clinic. For COVID-19 management, 91 persons (46%) were hospitalized, and the remaining 107 (54%) were non-hospitalized. Five dominant clusters of physical symptoms were present - fatigue (82.8%), cough (54%), breathing difficulty (54%), pain in the body (53%), and sleeplessness (51%). The psychological issues faced were fear (41.6%), worry (40.4%), depression (31.8%), and anger (30.3%). The median monthly income in Indian Rupees (INR) for pre-Covid versus post-Covid was 30,000 versus 25,000, effectively a loss of 16.6% in the family income. Adverse impacts on health and economic conditions were observed in 31.3% and 20.7%, respectively. CONCLUSION: Post-Covid clinics can be a resource-appropriate health system approach for nearly 20% of the pandemic survivors with a low gross domestic product (GDP) per capita.

Post COVID-19 condition of the Omicron variant of SARS-CoV-2.

OBJECTIVES: To investigate the prevalence of post coronavirus disease (COVID-19) condition of the Omicron variant in comparison to other strains. STUDY DESIGN: A single-center cross-sectional study. METHODS: Patients who recovered from Omicron COVID-19 infection (Omicron group) were interviewed via telephone, and patients infected with other strains (control group) were surveyed via a self-reporting questionnaire. Data on patients' characteristics, information regarding the acute-phase COVID-19, as well as presence and duration of COVID-19-related symptoms were obtained. Post COVID-19 condition in this study was defined as a symptom that lasted for at least 2 months, within 3 months of COVID-19 onset. We investigated and compared the prevalence of post COVID-19 condition in both groups after performing propensity score matching. RESULTS: We conducted interviews for 53 out of 128 patients with Omicron and obtained 502 responses in the control group. After matching cases with controls, 18 patients from both groups had improved covariate balance of the factors: older adult, female sex, obesity, and vaccination status. There were no significant differences in the prevalence of each post COVID-19 condition between the two groups. The number of patients with at least one post COVID-19 condition in the Omicron and control groups were 1 (5.6%) and 10 (55.6%) (p = 0.003), respectively. CONCLUSIONS: The prevalence of post Omicron COVID-19 conditions was less than that of the other strains. Further research with a larger sample size is needed to investigate the precise epidemiology of post COVID-19 condition of Omicron, and its impact on health-related quality of life and social productivity.

Persistent Symptoms After Acute COVID-19 Infection in Omicron Era.

BACKGROUND: We aim to compare the clinical characteristics and subjectively reported symptoms of the acute coronavirus disease (COVID) phase and those of the post-acute COVID phase to examine varying factors that affect the number of persistent symptoms and their categories. METHODS: We categorized 1,122 patients who visited the post coronavirus disease 2019 (COVID-19) clinic into two groups: "acute group" (< 4 weeks following diagnosis of COVID-19) and "post-acute group" (> 4 weeks following diagnosis of COVID-19). We statistically compared clinical characteristics between the two groups and determined which factors are associated with the number of persistent symptoms and their categories. RESULTS: The persistent symptoms of post COVID-19 conditions were classified into three categories as follows: Category A (the prevalence of symptoms is higher in the acute-visit group than in the post-acute-visit group), Category B (the prevalence of symptoms is not different between the two groups) and Category C (the prevalence of symptoms is higher in the post-acute-visit group than in the acute-visit group). Category A mainly included respiratory symptoms. Category B had generalized weakness, weight loss, cardiologic symptoms, hypogeusia, hyposmia, anxiety, and various gastrointestinal symptoms. Category C included fatigue, decreased attention, depression, blurred vision, hair loss, and sexual dysfunction. Anxiety, depression, fatigue and age were also associated with the number of symptoms and their categories, and anxiety is the most correlated factor (P < 0.001) among them. CONCLUSION: The persistent symptoms of post COVID-19 condition involve multi-organ and continue for four weeks or greater. Therefore, long-term observation and multidisciplinary interventions are essential for patients with post COVID-19 conditions.

Secondary Adrenal Insufficiency After COVID-19 Diagnosed by Insulin Tolerance Test and Corticotropin-Releasing Hormone Test.

Coronavirus disease 2019 (COVID-19) can affect multiple organs and systems, including the endocrine system. Its symptoms can last for months, resulting in post-COVID-19 conditions, among others. A small number of patients have central adrenal insufficiency (CAI) months after recovery from COVID-19; nevertheless, its pathogenesis has not been fully elucidated. The insulin tolerance test (ITT) is a gold standard test assessing the hypothalamic-pituitary-adrenal axis, and the corticotropin-releasing hormone (CRH) test is useful for differentiating CAI into secondary (pituitary) and tertiary (hypothalamic) adrenal insufficiency. We present a case of new-onset CAI in a young female patient who had no medical history other than COVID-19. Adrenocorticotropin hormone and cortisol responded poorly to both insulin-induced hypoglycemia and CRH administration. These findings suggest that the pituitary gland may be the primary site of hypothalamic-pituitary-adrenal dysfunction, although magnetic resonance imaging of the pituitary gland was unremarkable. To our knowledge, this is possibly the first and only case report of new-onset secondary adrenal insufficiency after recovery from COVID-19 in which the ITT and the CRH test were performed and highly suggestive for the pathogenesis of not only post-COVID-19 CAI but also post-COVID-19 conditions.

Post-COVID-19 conditions in Ecuadorian patients: an observational study.

BACKGROUND: Post-COVID-19 disease is not yet clearly described, presenting significant clinical variability across populations and patients. This paper compares post-COVID symptoms in three patient groups with mild, moderate, and severe infections in Ecuadorian outpatients. METHODS: An epidemiological, observational, descriptive, and cross-sectional study was performed, and carried out in Quito, Ecuador. 1,366 non-hospitalized participants between 12 to 85 years, diagnosed with COVID-19 infection by molecular RT-PCR were included in the study. Demographic characteristics, including age groups, sex, ethnic group, work type, residence type, comorbidities, diagnosis, symptoms, and treatment were studied. FINDINGS: 1,366 outpatient Ecuadorian patients were analysed with SARS-CoV2 infection confirmed with a PCR+ test. The mean age was 39 (± 10) years, distributed by age groups ranging between 12 and 85 years; 81.41% were between 18 and 54 years. 50.29% were men, and 49.71% were women. INTERPRETATION: 64.3% of patients had symptoms between 4 to 6 weeks after infection, 21.1% showed ongoing symptoms between 6 to 12 weeks, and 14.6% had symptoms for more than 12 weeks. The most common symptom was fatigue in 67.3% of patients, followed by headache in 45.2%, body pain in 42.3%, and sleep disorders (insomnia, sleep apnoea, restless leg syndrome) in 36.5%. 69.3% of patients showed mild infection, 21.7% moderate, and 9.0% severe infection. On average, patients' daily life activities showed a 6.8% mean degree of impact following infection. A sedentary lifestyle (walking less than 30 minutes a day) was the most critical risk factor (40.3%), followed by being a health worker (11.87%). Patients aged ≥55 years with HTN, CKD, smoking, and sedentary lifestyle were 4.39, 1.92, 9.19, 4.07, and 2.42 times more likely to have a severe infection level. At least 30% of patients do not feel recovered from COVID-19 infection. FUNDING: The author declares that the financial resources for the preparation of this research come from their self-management.