COVID-19: Post-recovery long-term symptoms among patients in Saudi Arabia

Long COVID Symptoms and Five Dimensions of HRQoL: A Retrospective Regional Study of Patients Recovered from COVID-19 Infection in Saudi Arabia

Background/Aim

10-20% of people infected with the coronavirus infection have long COVID symptoms, therefore, current research is the first regional assessment in Saudi Arabia to determine the relationship between long-term health complaints of COVID-19 survivors and health-related quality of life (HRQoL).

Methods

The study population comprised COVID-19 infection cases registered in the Ha'il region of Saudi Arabia from the beginning of the COVID-19 pandemic until September 2022. A retrospective research design was employed, and 295 participants completed a self-report questionnaire to assess long COVID symptoms and the Arabic version of the European 5-Dimensional Quality of Life (EQ-5D). Multiple linear regression was used to evaluate the predictive role of long COVID symptoms on the HRQoL of patients by choosing (p-value < 0.05).

Results

The mean (SD) age of the participants was 38 years, (67.1%) were male and (58.6%) were married. On the long COVID-19 symptoms, the highest mean values were fatigue (M=2.3; 95% CI 2.1-2.4) followed by headache (M=2.1; 95% CI 2.0-2.3) and persistent cough (M=1.9; 95% CI 1.8-2.1). Findings show that HRQoL was problematic in domains of pain/discomfort as depicted by a highest mean score on this domain (M=4.24; 95% CI 4.14-4.33) followed by anxiety/depression (M=4.17: 95% CI 4.08-4.27). Multiple regression analysis showed that marital status (p=0.05), irregular exercise (p<0.01), duration of hospitalization (p<0.01), and oxygen therapy (p<0.05) were the independent background factors affecting HRQoL post-COVID-19. Among the long-COVID-19 symptoms, fatigue (p=0.05), persistent cough (p=0.001), dyspnea (p=0.02), and sexual dysfunction (p<0.001) were the independent factors that impacted the HRQoL after controlling for background variables.

Conclusion

The study has significant implications for Saudi Arabia's Health Sector Transformation Program that could achieve its goals of human centric care and patient satisfaction though addressing the negative impacts of specific long-COVID symptoms such as fatigue, persistent cough, dyspnea and sexual dysfunction and improving the HRQoL in domains of pain/discomfort and anxiety/depression.

Post-COVID-19 manifestations among college students: shedding the light on young adults' health

BACKGROUND

Post-COVID-19 syndrome refers to a variety of symptoms that affect different organs in the body and can persist 28 days following exposure to COVID-19. Previous studies have shown that COVID-19 affects not only elderly individuals but also young adults. However, the influence of post-COVID-19 syndrome on young adults has not been studied sufficiently. Therefore, the aim of this study was to determine the prevalence and characteristics of post-COVID-19 manifestations in young adults.

METHODS

An analytical cross-sectional online questionnaire was distributed from July 2022 to July 2023 to health sciences students in Saudi Arabia. The study used a non-probability convenience sampling technique, and the sample size was calculated to be 464. The survey included questions about the participants' demographics, health records, COVID-19 results, duration of infection, and previous and current COVID-19 symptoms. Illness severity and management were evaluated using the COVID Experiences (COVEX) Symptoms and Diagnoses module, and Patient Health Questionnaire (PHQ-9) was used to assess depression.

RESULTS

According to the inclusion criteria, 428 participants were divided into three groups: those who fully recovered within 14 days of the acute phase (76.4%), those with prolonged symptoms that resolved within 28 days (16.8%), and those with persistent symptoms for more than 28 days (6.8%). The symptom development frequency during the acute phase significantly differed among the three groups: headache (p = 0.038), loss of smell and taste (p = < 0.001), and fatigue (p = 0.009). The symptoms that significantly differed between the prolonged group and persistent group during the post-COVID-19 syndrome phase were loss of smell and taste (p = < 0.001) and shortness of breath (p = < 0.001). The study results revealed that females are susceptible to long-COVID-19. This study revealed that the overall severity of post-COVID-19 symptoms was mild in this age group. The PHQ-9 score when comparing the three groups showed a significant association with depression (p = 0.035).

CONCLUSION

The study results support the perception that not only can the geriatric population suffer from post-COVID-19 syndrome but also that young adults are prone to persistent symptoms such as loss of smell and taste, which may affect their mental health status.

Understanding long COVID: prevalence, characteristics, and risk factors in the Eastern Province of Saudi Arabia

Background

The COVID-19 pandemic has significantly raised public health concerns and efforts to limit its spread, impacting societies and health systems worldwide. As challenges persist, the emergence of Long COVID (LC) marks a turning point in understanding the pandemic's long-term effects.

Aim

This study aimed to determine the prevalence of LC in the Eastern Province of the Kingdom of Saudi Arabia (KSA) and explore factors contributing to its persistence.

Methods

This descriptive, cross-sectional, questionnaire-based study was carried out between December 1, 2023, and March 1, 2024, involving 1,355 patients who recovered from COVID-19. Participants were conveniently chosen and information was gathered through in-person interviews in public settings after obtaining consent.

Results

A majority of the patients (N = 1,355; 47.5% female; 93.8% Saudis; mean Age ± SD 33.13 ± 12.60 years) had received three COVID-19 vaccine doses (89.5%). Women experienced 17.4% more LC symptoms than men (p < 0.001). The risk of having a higher symptom count increased by 42.5% 12 months after acute COVID-19 infection compared with baseline (<3 months, p < 0.001). A higher body mass index (BMI) was associated with more symptoms (1.1% increase per unit, p = 0.004). More acute-phase symptoms correlated with more LC symptoms (p < 0.001). Higher educational attainment reduced LC risk by 33% (p < 0.001). Finally, age and vaccination status had no effect on LC symptoms count (p > 0.05).

Conclusion

Sociodemographic and clinical factors contribute differently to the chances of having LC and the count of symptoms. Awareness of such factors could provide insight into improving management, leading to better health outcomes.

Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence

The COVID-19 pandemic, caused by SARS-CoV-2, has led to significant challenges worldwide, including diverse clinical outcomes and prolonged post-recovery symptoms known as Long COVID or Post-COVID-19 syndrome. Emerging evidence suggests a crucial role of metabolic reprogramming in the infection's long-term consequences. This study employs a novel approach utilizing machine learning (ML) and explainable artificial intelligence (XAI) to analyze metabolic alterations in COVID-19 and Post-COVID-19 patients. Samples were taken from a cohort of 142 COVID-19, 48 Post-COVID-19, and 38 control patients, comprising 111 identified metabolites. Traditional analysis methods, like PCA and PLS-DA, were compared with ML techniques, particularly eXtreme Gradient Boosting (XGBoost) enhanced by SHAP (SHapley Additive exPlanations) values for explainability. XGBoost, combined with SHAP, outperformed traditional methods, demonstrating superior predictive performance and providing new insights into the metabolic basis of the disease's progression and aftermath. The analysis revealed metabolomic subgroups within the COVID-19 and Post-COVID-19 conditions, suggesting heterogeneous metabolic responses to the infection and its long-term impacts. Key metabolic signatures in Post-COVID-19 include taurine, glutamine, alpha-Ketoglutaric acid, and LysoPC a C16:0. This study highlights the potential of integrating ML and XAI for a fine-grained description in metabolomics research, offering a more detailed understanding of metabolic anomalies in COVID-19 and Post-COVID-19 conditions.

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

BACKGROUND

The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences.

OBJECTIVE

This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences.

METHODS

The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the "less unhealthy" group and the "more unhealthy" group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the "more unhealthy" group.

RESULTS

The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the "more unhealthy" group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the "more unhealthy" group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the "more unhealthy" group.

CONCLUSIONS

The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post-COVID-19 health and well-being.

Tracking Health Beyond Recovery: A Study on Identifying Post-COVID Syndrome Symptoms

Context

The COVID-19 pandemic had a profound global impact, leaving a lasting legacy in the form of post-COVID syndrome. This condition, experienced after recovering from the virus, manifests in symptoms, such as fatigue, cough, shortness of breath, joint pain, and brain fog, highlighting the virus's lingering influence on the human body.

Aim

To Identify post-COVID syndrome symptoms among COVID-19 recovered patients from Karad Taluka.

Materials and methods

A study involving 228 COVID-19-recovered individuals from a Karad tertiary care hospital used consecutive sampling. Data were collected via structured questionnaires, focused on post-COVID syndrome symptoms.

Statistical analysis used

Frequency and percentage were used to analyze the presence of post-COVID syndrome symptoms.

Results

A total of 228 COVID-19-recovered individuals were included in the study, of whom 53% were male and 47% were female. Most of the study subjects had 25 (10.9%) mild, 138 (60.5%) moderate, and 65 (28.5%) severe symptoms. Symptom-wise, the majority of the subjects experienced symptoms: fatigue 116 (50.8% moderate), shortness of breath 135 (58.3% moderate), cough 116 (50.8%), sore throat 115 (50.4% mild), chest pain (57% mild), joint pain 151 (66.2% severe), brain fog 103 (45% severe). Most (43%) experienced symptoms for 12 months, that is, 1 year.

Conclusion

The results depict the recovered individuals continue to experience symptoms. The most common symptoms are fatigue, shortness of breath, and cough in varied severity (from mild, moderate, and severe).

How to cite this article

Walvekar SS, Mohite VR. Tracking Health Beyond Recovery: A Study on Identifying Post-COVID Syndrome symptoms. Indian J Crit Care Med 2024;28(2):170-174.

Persistent symptoms among post-COVID-19 survivors: A systematic review and meta-analysis

BACKGROUND

Single studies support the presence of several post-COVID-19 symptoms; however, there is no evidence for the synthesis of symptoms.

OBJECTIVE

We attempt to provide an overview of the persistent symptoms that post-COVID-19 patients encounter, as well as the duration of these symptoms to help them plan their rehabilitation.

DESIGN

Systematic review and meta-analysis.

PARTICIPANTS

A total of 16 studies involving 8756 patients post-COVID-19 were included.

METHODS

The CINAHL, PubMed, EMBASE, Scopus, and Web of Science databases were searched from 2019 to August 2021. Observational studies that reported data on post-COVID-19 symptoms were included. The methodological quality of the studies was assessed using the Joanna Briggs Institute Critical Appraisal for Observational Studies. We included medium- to high-quality studies. We used a random-effects model for the meta-analytical pooled prevalence of each post-COVID-19 symptom, and I2 statistics for heterogeneity.

RESULTS

From the 2481 studies identified, 16 met the inclusion criteria. The sample included 7623 hospitalised and 1133 non-hospitalised patients. We found the most prevalent symptoms were fatigue and dyspnea with a pooled prevalence ranging from 42% (27%-58%). Other post-COVID-19 symptoms included sleep disturbance 28% (14%-45%), cough 25% (10%-44%), anosmia/ageusia 24% (7%-47%), fever 21% (4%-47%), myalgia 17% (2%-41%), chest pain 11% (5%-20%), and headache 9% (2%-20%). In addition to physical symptoms, anxiety/depression was also prevalent 27% (8%-53%).

CONCLUSIONS

Fatigue and dyspnea were the most prevalent post-COVID-19 symptoms and experienced up to 12 months.

RELEVANCE TO CLINICAL PRACTICE

Multiple persistent symptoms are still experienced until 12 months of post-Covid 19. This meta-analysis should provide some awareness to nurses to highlights the unmet healthcare needs of post-COVID-19 patients. Long-term monitoring for the evaluation and treatment of symptoms and conditions and rehabilitation programs should be conducted.

Evaluating the Predictors of Persistent Long COVID Symptoms and Their Severity in COVID-19 Survivors 1 Year After Infection

INTRODUCTION/OBJECTIVE

As the coronavirus disease 2019 (COVID-19) pandemic progressed, the virus was found to cause long-term health complications known as long COVID (LC). This study aimed to investigate LC symptom severity and the factors associated with the likelihood of persistence beyond 1 year among COVID-19 survivors in Saudi Arabia.

METHODS

This descriptive, cross-sectional, questionnaire-based study was conducted via convenience sampling between December 1, 2023, and March 1, 2024. In-person interviews were performed, and 845 individuals with persistent symptoms after acute COVID-19 were included.

RESULTS

Hair loss and memory impairment were the most reported symptoms. In predicting LC persistence beyond 12 months, women were found to have higher odds of being symptomatic than men, and individuals from moderate-to-high-income households were more likely to report persistent symptoms than those from low-income households. Each additional acute COVID-19 symptom increased the likelihood of persistent symptoms by 1.14 times. Reporting more symptoms in the first 6 months post-infection significantly reduced the odds of long-term symptoms by approximately 30%.

CONCLUSION

LC symptom severity varies among patients, and sociodemographic and clinical factors influence the likelihood of experiencing symptoms beyond 1 year. Understanding these factors can provide insights and help optimize management, leading to improved patient outcomes.

Assessment of anosmia/hyposmia in post-COVID-19 patients: a cross-sectional study in an eastern province of Saudi Arabia

Background and aim It has been shown that olfactory dysfunction is one of Coronavirus disease-2019 (COVID-19)common and puzzling symptoms that may persist weeks after the infection. This study aimed for the objective assessment of persisting olfactory dysfunction in post-COVID-19 patients. It also investigated the factors associated with the development of such symptoms in the Eastern Province of Saudi Arabia.

METHODS

A cross-sectional study that was conducted in the Department of Physiology, College of Medicine, Imam Abdulrahman bin Faisal University, Khobar, Saudi Arabia. One hundred and forty-seven participants were included in this study, and sixty of them agreed  to participate in the objective testing using the Connecticut Chemosensory Clinical Research Center (CCCRC) olfaction test.

RESULTS

There was a significant correlation between the following factors: (1) Persistence of anosmia/hyposmia and the time of onset of anosmia/hyposmia (P=0.015). (2) Persistence of anosmia/hyposmia and the duration of anosmia/hyposmia (P=0.012). (3) Duration of anosmia/hyposmia and the duration of COVID-19 symptoms (P=0.010). Interestingly, there was a significant association between the subjective participants' claim of anosmia/hyposmia and the score of their objective assessment (P=0.026).

CONCLUSION

The current study demonstrated that post-COVID-19 participants with delayed onset of anosmia/hyposmia and/or longer duration of either anosmia/hyposmia or COVID-19 symptoms were prone to have persistent olfactory dysfunction. Further studies are necessary to uncover the underlying pathophysiology and management of this olfactory dysfunction in COVID-19 patients.

Post COVID-19 Symptoms Among Infected Vaccinated Individuals: A Cross-Sectional Study in Saudi Arabia

INTRODUCTION

Multiple studies investigated the endurance and occurrence of symptoms three months after SARS-CoV-2 infection. This study examines the possible effects of COVID-19 vaccination on the persistence of post-recovery symptoms.

PATIENTS AND METHODS

A cross-sectional survey was conducted in Saudi Arabia to evaluate 14 prevalent long COVID-19 symptoms among vaccinated individuals. Patients self-reported their acute COVID-19 experience, demographic information, chronic conditions, vaccine history, and persistent symptoms.

RESULTS

Of the 484 patients, four respondents were excluded from the study as they had not received the vaccine, and 111 (23.1%) were vaccinated but did not get infected and were also excluded. The remaining 369 (76.9%) reported COVID-19 and a vaccination and thus they were included in the study. The occurrence of post-COVID-19 symptoms was reported in 59 (16.1%) for ≤ 3 months, 202 (54.8%) experienced persistent symptoms 3-6 months, and 108 (29.1%) reported symptoms lasting > 6 months. In relation to age group, persistent symptoms 3-6 months after recovery was more common in those > 50 years and symptoms lasting > 6 months were more common in 30-50 years of age (p < 0.001). Persistence of symptoms for  3-6 months was more common in those who were infected prior to vaccination compared to those who were infected after vaccination (P < 0.001). Of the included patients, 323 (87.5%) rated their health as good, 41 (11.1%) considered it fair, and 5 (1.4%) described their well-being as poor or terrible.

CONCLUSION

The study provides information of persistent symptoms in vaccinated individuals who had recovered from COVID-19 and highlights the need for targeted interventions to alleviate post-COVID-19 symptoms. The study is limited by its reliance on self-reported data and potential selection bias. Future research is needed to understand the mechanisms underlying persistent symptoms in vaccinated individuals and to identify effective interventions for long COVID.

A Systematic Review of the Prevalence of Persistent Gastrointestinal Symptoms and Incidence of New Gastrointestinal Illness after Acute SARS-CoV-2 Infection

It is known that SARS-CoV-2 infection can result in gastrointestinal symptoms. For some, these symptoms may persist beyond acute infection, in what is known as 'post-COVID syndrome'. We conducted a systematic review to examine the prevalence of persistent gastrointestinal symptoms and the incidence of new gastrointestinal illnesses following acute SARS-CoV-2 infection. We searched the scientific literature using MedLine, SCOPUS, Europe PubMed Central and medRxiv from December 2019 to July 2023. Two reviewers independently identified 45 eligible articles, which followed participants for various gastrointestinal outcomes after acute SARS-CoV-2 infection. The study quality was assessed using the Joanna Briggs Institute Critical Appraisal Tools. The weighted pooled prevalence for persistent gastrointestinal symptoms of any nature and duration was 10.8% compared with 4.9% in healthy controls. For seven studies at low risk of methodological bias, the symptom prevalence ranged from 0.2% to 24.1%, with a median follow-up time of 18 weeks. We also identified a higher risk for future illnesses such as irritable bowel syndrome, dyspepsia, hepatic and biliary disease, liver disease and autoimmune-mediated illnesses such as inflammatory bowel disease and coeliac disease in historically SARS-CoV-2-exposed individuals. Our review has shown that, from a limited pool of mostly low-quality studies, previous SARS-CoV-2 exposure may be associated with ongoing gastrointestinal symptoms and the development of functional gastrointestinal illness. Furthermore, we show the need for high-quality research to better understand the SARS-CoV-2 association with gastrointestinal illness, particularly as population exposure to enteric infections returns to pre-COVID-19-restriction levels.

Recuperative herbal formula Jing Si maintains vasculature permeability balance, regulates inflammation and assuages concomitants of "Long-Covid"

Coronavirus disease 2019 (COVID-19) is a worldwide health threat that has long-term effects on the patients and there is currently no efficient cure prescribed for the treatment and the prolonging effects. Traditional Chinese medicines (TCMs) have been reported to exert therapeutic effect against COVID-19. In this study, the therapeutic effects of Jing Si herbal tea (JSHT) against COVID-19 infection and associated long-term effects were evaluated in different in vitro and in vivo models. The anti-inflammatory effects of JSHT were studied in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells and in Omicron pseudotyped virus-induced acute lung injury model. The effect of JSHT on cellular stress was determined in HK-2 proximal tubular cells and H9c2 cardiomyoblasts. The therapeutic benefits of JSHT on anhedonia and depression symptoms associated with long COVID were evaluated in mice models for unpredictable chronic mild stress (UCMS). JSHT inhibited the NF-ƙB activities, and significantly reduced LPS-induced expression of TNFα, COX-2, NLRP3 inflammasome, and HMGB1. JSHT was also found to significantly suppress the production of NO by reducing iNOS expression in LPS-stimulated RAW 264.7 cells. Further, the protective effects of JSHT on lung tissue were confirmed based on mitigation of lung injury, repression in TMRRSS2 and HMGB-1 expression and reduction of cytokine storm in the Omicron pseudotyped virus-induced acute lung injury model. JSHT treatment in UCMS models also relieved chronic stress and combated depression symptoms. The results therefore show that JSHT attenuates the cytokine storm by repressing NF-κB cascades and provides the protective functions against symptoms associated with long COVID-19 infection.

A prospective cohort study assessing the relationship between long-COVID symptom incidence in COVID-19 patients and COVID-19 vaccination

Current studies about the long-term effects of COVID-19 show a wide range of symptoms. This prospective cohort study aimed to find the incidence of long-COVID symptoms and the associated risk factors. We followed 669 confirmed COVID-19 patients. Sociodemographic and clinical data were extracted from medical records and collected via semi-structured telephone interviews on days 10, 30, 60, and 90. The incidence of long-COVID symptoms was 41.6% (95% CI 37.8-45.4%). Females [aOR = 1.5 (95% CI 1.1-2.3)], the elderly [aOR = 4.9 (95% CI 2.0-11.3)], and those who required hospitalization [aOR = 5.0 (95% CI 1.3-3.7)] were at a higher risk of developing long-COVID. Patients with dyspnea at day 10 [aOR: 2.4 (95% CI 1.6-3.7] and fatigue at day 60 [aOR: 3.1 (95% CI 1.5-6.3] were also at risk. While non-vaccinated patients were almost seven times more likely to report long-COVID symptoms than vaccinated patients [aOR: 6.9 (95% CI 4.2-11.3)]. In conclusion, long-COVID was common among COVID-19 patients, with higher rates among females, older age groups, hospitalized patients, and those with dyspnea and fatigue, while vaccination provided protection. Interventions should educate health professionals, raise general public awareness about the risks and consequences of Long COVID, and the value of vaccination.

Long-Term Outcomes of COVID-19 Otolaryngology Symptoms in Saudi Arabia

OBJECTIVES

The objectives of the study are to measure the prevalence of the most common symptoms and different long-term otorhinolaryngology manifestations among COVID-19-positive patients in Saudi Arabia.

METHODS

This is a cross-sectional study. Data were collected using a Google form questionnaire sent to the study sample. The data were entered and then analyzed using SPSS version 25.0 (IBM Corp, Armonk, NY).

RESULTS

A total of 13,530 COVID-19-positive adult patients were enrolled in the current study. The most reported initial symptom was fever (53.3%) followed by headache (49.3%), sore throat (48.9%), nasal congestion, rhinorrhea (42.1%), and loss of smell and/or loss of taste (37.8%). Regarding the continuation of the symptoms, vertigo was mentioned by 5852 (43.3%) followed by fever (16.1%) and blocked ear sensation (15.6%).

CONCLUSION

The most commonly reported initial symptom was fever followed by headache. Interestingly, vertigo is a frequent long-term complication after a COVID-19 infection. Other otology-related symptoms include hearing loss and ear blockage, while rhinology and upper airway-related symptoms were less frequent in the long term after the acute phase of the infection.

Issues related to post-COVID-19 syndrome

The pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in 2019-2022 leads to a multisystem illness that results in damage to numerous organ systems. In this review, our goal was to assess current research on long-term respiratory, cardiac, neurological, digestive, rheumatological, urogenital, and dermatological system complications of coronavirus disease 2019 (COVID-19). Bibliographic searches were conducted in December 2021 using PubMed and Google Scholar, retrospectively, covering all COVID-19 literature to determine the consequences of the disease. This review may help to determine the prospects for new studies and predict the upcoming aspects requiring assessment in post-COVID-19 syndrome.