New Onset of Acute and Chronic Hepatic Diseases Post-COVID-19 Infection: A Systematic Review.

The SARS-CoV-2 virus caused a pandemic in the 2020s, which affected almost every aspect of life. As the world is recovering from the effect of the coronavirus, the concept of post-COVID-19 syndrome has emerged. Multiple organ systems have been implicated, including the liver. We aim to identify and analyze the reported cases of severe and long-term parenchymal liver injury post-COVID-19 infection. Several databases were used to conduct a comprehensive literature search to target studies reporting cases of severe and long-term parenchymal liver injury post-COVID-19 infection. Screening, data extraction, and cross checking were performed by two independent reviewers. Only 22 studies met our inclusion criteria. Our results revealed that liver steatosis, non-alcoholic fatty liver disease (NAFLD), and cirrhosis were the most reported liver associated complications post-COVID-19 infection. Moreover, complications like acute liver failure, hepatitis, and liver hemorrhage were also reported. The mechanism of liver injury post-COVID-19 infection is not fully understood. The leading proposed mechanisms include the involvement of the angiotensin-converting enzyme-2 (ACE-2) receptor expressed in the liver and the overall inflammatory state caused by COVID-19 infection. Future studies should incorporate longer follow-up periods, spanning several years, for better insight into the progression and management of such diseases.

Using the ClinFIT COVID-19 Instrument to Assess the Functional Impairments Specific to Post-COVID-19 Patients in Romania.

INTRODUCTION: The COVID-19 pandemic has led to approximately 3.5 million cases in Romania, causing systemic inflammation and over 200 symptoms affecting various body systems. This complexity has challenged rehabilitation systems, necessitating personalized plans tailored to each patient's illness stage and impairment level. The ISPRM-developed ClinFIT COVID-19 instrument, aligned with the ICF categories, assists in assessing patients during acute, post-acute, and long-term phases. OBJECTIVE: This study aimed to evaluate and assess functional impairments in post-COVID-19 patients in Romania, with a secondary goal of generating rehabilitation directions. METHODS: Data were collected from patients at two Bucharest medical centers, including those with persistent symptoms post-acute phase. Participants were assessed using the adapted ClinFIT COVID-19 instrument, and descriptive statistics were applied. CONCLUSIONS: Findings revealed diverse functional impairments in physical, psychological, and social domains among post-COVID-19 patients, with severe impairments more common in those with long-term COVID-19. Complete impairment in complex movement and paid work was noted, affecting one-third of salaried employees and forcing some to retire. In the acute phase, the most frequent functional impairments were sleep, attention, pain sensation, and exercise tolerance functions. In contrast, the most severely affected functions were exercise tolerance and mobility joint functions. Age did not positively correlate with any of the analyzed functions. In the post-acute phase, sleep, energy, and drive functions remained the most frequently affected functions, while the most severely affected was, by far, the moving around function. In the post-acute period, respiratory and respiratory muscle functions strongly correlated with all tasks related to physical activity. In the long COVID-19 phase, remunerative employment was the most severely affected function, while attention functions remained the most frequently affected, similar to the acute phase. The ClinFIT COVID-19 instrument effectively captured these impairments, underscoring the need for comprehensive rehabilitation strategies.

Prevalence and risk factors for persistent symptoms after COVID-19: a systematic review and meta-analysis.

BACKGROUND: Long-term physical and mental persistent symptoms after COVID-19 represent a growing global public health concern. However, there remains a substantial knowledge gap regarding their prevalence and risk factors. OBJECTIVES: To estimate the prevalence and risk factors for persistent symptoms after COVID-19. METHODS OF DATA SYNTHESIS: We used a random-effects model to pool persistent symptom prevalence and risk ratios comparing COVID-19 patients with non-COVID-19 individuals. DATA SOURCES: Electronic databases were searched for studies published from December 2019 to January 2023. STUDY ELIGIBILITY CRITERIA: Eligible studies that reported the prevalence and risk factors for persistent symptoms after COVID-19 were included. PARTICIPANTS: Patients who recovered from COVID-19. ASSESSMENT OF RISK OF BIAS: The Joanna Briggs Institute critical appraisal tool was used to assess the risk of bias in prevalence studies, whereas the risk of bias in cohort studies was evaluated with the Newcastle-Ottawa Scale. RESULTS: After screening 4359 studies, a total of 211 eligible studies were included, covering a population of 13 368 074 individuals. Fatigue, dyspnoea, post-traumatic stress disorder, anxiety, and depression were the most frequently reported persistent symptoms after COVID-19. Subgroup analyses revealed that individuals with more severe illness in the acute phase or from Europe exhibited a higher prevalence of certain symptoms, whereas children demonstrated a lower prevalence. Furthermore, COVID-19 patients had a significantly higher prevalence of most persistent symptoms compared with non-COVID-19 individuals. Factors frequently associated with a higher prevalence of persistent symptoms included female gender, advanced age, severe illness during the acute phase of COVID-19, multiple comorbidities, an extended duration of hospital stay, and a high body mass index. CONCLUSION: This meta-analysis provides a thorough review of the prevalence and risk factors for persistent symptoms following COVID-19. The findings underscore the importance of long-term monitoring and support for individuals recovering from COVID-19.

SARS-CoV-2 and the nervous system: current perspectives.

SARS-CoV-2 infection frequently causes neurological impairment in both adults and children. Recent publications have described significant aspects of the viral pathophysiology associated with neurological dysfunction. In theory, neurological manifestations following SARS-CoV-2 infection may be caused directly by the effects of the virus infecting the brain or indirectly by the local and systemic immune responses against the virus. Neurological manifestations can occur during the acute phase as well as in the post-acute phase of the infection. In this review, we discuss recent literature describing the association of nervous system disorders with COVID-19.

Post COVID-19 syndrome and new onset diseases: A prospective observational study.

Introduction: The National Institute of Health and Care Excellence (NICE) has defined the terms, 'acute coronavirus disease 2019' (COVID-19), 'ongoing symptomatic COVID-19' and 'post-COVID-19 syndrome', with the latter two described as having persistent symptoms after the onset of COVID-19 symptoms for 4-12 weeks and >12 weeks, respectively. Persistent symptoms can either be due to the after-effects of COVID-19 or new-onset diseases after acute COVID-19. All symptoms observed beyond 4 weeks after the onset of COVID-19 need not be present at the time of onset. Previous studies on persistent post-COVID-19 symptoms have not mentioned new-onset diseases after acute COVID-19, and only a select few studies have discussed such new-onset symptoms. Methods: Ninety-five patients who attended the post-COVID-19 clinic completed the requisite follow-up till 16 weeks after COVID-19 symptom onset. Data was recorded on a predesigned proforma. Necessary investigations were conducted to rule out any other cause of persistent symptoms. Results: Fatigue (62.1%), breathlessness (50.5%) and cough (27.4%) were the most common symptoms present beyond 4 weeks after the onset of COVID-19 symptoms. Forty-nine (51.57%) patients developed post-COVID-19 syndrome - their severity of symptoms (odds ratio [OR] 17.77) and longer duration of hospital stay (OR 1.095) during acute disease were significantly associated with the development of post-COVID-19 syndrome. During follow-up, 25 patients developed new-onset symptoms, such as diabetes mellitus, hypertension and idiopathic tachycardia. Conclusion: Patients can have persistent symptoms, new-onset symptoms and new-onset diseases after recovery from acute COVID-19.

Fatality Chooses Its Path Through the Orbit: A Study of Rhino-Orbito-Cerebral Mucormycosis as a Complication of COVID-19 Infection.

Introduction and aim Mucormycosis is a rare but serious angio-invasive infection caused by a group of fungi called mucormycetes and it mainly affects people who are immunocompromised, or patients already infected with other diseases. The dreaded mucormycosis infection has recently gained gross ill-repute for having claimed many lives in coronavirus disease (COVID-19) and/or post-COVID-19 patients. Hence a need was felt to study the development of mucormycosis in COVID-19 patients to better prevent and treat this fungal infection in anticipated future waves of the pandemic. This study also aims to establish an association between COVID-19 positivity, systemic comorbidities, and treatment modalities with the possibility of occurrence of vision and life-threatening mucor infection of the nose, paranasal sinuses, orbit, and brain. Methods This is a hospital-based, retrospective, case-control study. The study reviewed case files of all patients diagnosed with rhino-orbito-cerebral mucormycosis (ROCM) from April 1, 2021, to May 31, 2021. A set of age-matched COVID-19-positive patients hospitalized during the study period with moderate to severe disease were recruited as controls. We addressed factors that could be associated with the development of fungal infection and studied the period between COVID-19 positivity and the onset of ROCM. Results The age of patients in both groups ranged from 40-60 years with 13 females and 17 males. A statistically significant correlation (p-value = 0.032) was found between positive reverse transcription-polymerase chain reaction (RT-PCR) history and use of intravenous (IV) corticosteroids (11 [73.3%] cases and all controls). The mean duration from COVID-19 positivity to the presentation of mucormycosis was 12.10±7.27 days. Uncontrolled blood sugar was found to be the most significant correlation (p-value = 0.003). Mucormycosis is 13.678 times more likely in people with abnormal hemoglobin A1c (HbA1c). Co-morbidities like anemia, chronic kidney disease (CKD), coronary artery disease (CAD), and leukemia were found in controls, but none of these conditions were seen in patients who developed mucormycosis. Conclusion Judicious use of steroids and strict control of blood sugar levels should be emphasized in the management of COVID-19 patients.

Effect of Vaccination against SARS-CoV-2 on Long COVID-19: A Narrative Review.

Vaccines against SARS-CoV-2 have saved millions of lives and played an important role in containing the COVID-19 pandemic. Vaccination against SARS-CoV-2 is also associated with reduced disease severity and, perhaps, with COVID-19 symptom burden. In this narrative review, we present, in a clinically relevant question-and-answer manner, the evidence regarding the association between vaccination against SARS-CoV-2 and long COVID-19. We discuss how the mechanism of action of vaccines could interplay with the pathophysiology of post-COVID-19 condition. Furthermore, we describe how specific factors, such as the number of vaccine doses and the type of SARS-CoV-2 variants, may affect post-COVID-19 condition. We also discuss the role of timing for vaccination in relation to the onset of long COVID-19 symptoms, as it seems to affect the frequency and severity of the condition. Additionally, we describe the potential modifying effect of age, as well as the association of type and level of immune response with long COVID-19. We also describe how system-specific long COVID-19 sequelae, namely neurocognitive-psychologic symptoms and cardiovascular pathology, could be altered by vaccination. Last, we address the question of whether seasonal influenza vaccination has a meaningful impact on the frequency of long COVID-19.

Underlying Causes and Treatment Modalities for Neurological Deficits in COVID-19 and Long-COVID.

With reports of diverse neurological deficits in the acute phase of COVID-19, there is a surge in neurological findings in Long-COVID─a protracted phase of SARS-CoV-2 infection. Very little is known regarding the pathogenic mechanisms of Neuro-COVID in the above two settings in the current pandemic. Herein, we hint toward the possible molecular mechanism that can contribute to the signs and symptoms of patients with neurological deficits and possible treatment and prevention modalities in the acute and chronic phases of COVID-19.

Aortic Thrombosis and Ischemic Stroke With Hemorrhagic Conversion in a Patient With Remote COVID-19 Infection: A Treatment Dilemma.

Coronavirus disease 2019 (COVID-19) is primarily known to affect the lungs; however, several studies indicate that it can be a multisystem disease. There is documentation detailing different sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Patients affected with this virus have been seen to develop a hypercoagulable state leading to systemic thrombosis in some cases or embolism leading to catastrophic outcomes in others. Data regarding anticoagulation in these patients is limited. Further research needs to be carried out for management and prophylaxis for patients with COVID-19 at risk of aortic thrombosis.  We present a case of a middle-aged man with multiple comorbidities and remote COVID-19 infection who came to the emergency room with signs and symptoms worrisome for a cerebrovascular accident (CVA). Brain imaging revealed multiple cortical infarcts suggestive of a cardioembolic etiology. During his hospitalization, he underwent a transesophageal echocardiogram (TEE) that showed a 1x1 cm mobile thrombus in the distal descending aorta. Laboratory workup was negative for any hypercoagulable condition; it was thought that this patient might have a hypercoagulable state post-COVID-19 infection. After a thorough risk vs. benefit discussion, patient was started on apixaban. He remains alive and is doing well in a recent follow-up in our clinic.

Post COVID-19 sequelae: A prospective observational study from Northern India.

Post COVID-19 sequelae are a constellation of symptoms often reported after recovering from COVID-19. There is a need to better understand the clinical spectrum and long-term course of this clinical entity. The aim of this study is to describe the clinical features and risk factors of post COVID-19 sequelae in the North Indian population. This prospective observational study was conducted at a tertiary healthcare centre in Northern India between October 2020 and February 2021. Patients aged >18 years with laboratory-confirmed COVID-19 were recruited after at least two weeks of diagnosis, and details were captured. A total of 1234 patients were recruited and followed up for a median duration of 91 days (IQR: 45-181 days). Among them, 495 (40.1%) had persistent symptoms post-discharge or recovery. In 223 (18.1%) patients, the symptoms resolved within four weeks; 150 (12.1%) patients had symptoms till 12 weeks, and 122 (9.9%) patients had symptoms beyond 12 weeks of diagnosis/symptom-onset of COVID-19. Most common symptoms included myalgia (10.9%), fatigue (5.5%), shortness of breath (6.1%), cough (2.1%), insomnia (1.4%), mood disturbances (0.48%) and anxiety (0.6%). Patients who were hospitalized were more likely to report fatigue as a feature of long COVID. Hypothyroidism (OR: 4.13, 95% CI: 2.2-7.6, p-value < 0.001) and hypoxia (SpO2 ≤ 93%) (OR: 1.7, 95% CI: 1.1-2.4, p-value 0.012) were identified as risk factors for long COVID sequelae. In conclusion, long COVID symptoms were common (22%), and 9.9% had the post COVID-19 syndrome. Myalgias, fatigue and dyspnoea were common symptoms. Patients with hypothyroidism and hypoxia during acute illness were at higher risk of long COVID.

Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software.

OBJECTIVE: To investigate two commercial software and their efficacy in the assessment of chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency of tools. MATERIALS AND METHODS: Included in the study group were 120 COVID-19 patients (56 women and 104 men; 61 years of median age; range: 21-93 years) who underwent chest CT examinations at discharge between 5 March 2020 and 15 March 2021 and again at a follow-up time (3 months; range 30-237 days). A qualitative assessment by expert radiologists in the infectious disease field (experience of at least 5 years) was performed, and a quantitative evaluation using thoracic VCAR software (GE Healthcare, Chicago, Illinois, United States) and a pneumonia module of ANKE ASG-340 CT workstation (HTS Med & Anke, Naples, Italy) was performed. The qualitative evaluation included the presence of ground glass opacities (GGOs) consolidation, interlobular septal thickening, fibrotic-like changes (reticular pattern and/or honeycombing), bronchiectasis, air bronchogram, bronchial wall thickening, pulmonary nodules surrounded by GGOs, pleural and pericardial effusion, lymphadenopathy, and emphysema. A quantitative evaluation included the measurements of GGOs, consolidations, emphysema, residual healthy parenchyma, and total lung volumes for the right and left lung. A chi-square test and non-parametric test were utilized to verify the differences between groups. Correlation coefficients were used to analyze the correlation and variability among quantitative measurements by different computer tools. A receiver operating characteristic (ROC) analysis was performed. RESULTS: The correlation coefficients showed great variability among the quantitative measurements by different tools when calculated on baseline CT scans and considering all patients. Instead, a good correlation (≥0.6) was obtained for the quantitative GGO, as well as the consolidation volumes obtained by two tools when calculated on baseline CT scans, considering the control group. An excellent correlation (≥0.75) was obtained for the quantitative residual healthy lung parenchyma volume, GGO, consolidation volumes obtained by two tools when calculated on follow-up CT scans, and for residual healthy lung parenchyma and GGO quantification when the percentage change of these volumes were calculated between a baseline and follow-up scan. The highest value of accuracy to identify patients with RT-PCR positive compared to the control group was obtained by a GGO total volume quantification by thoracic VCAR (accuracy = 0.75). CONCLUSIONS: Computer aided quantification could be an easy and feasible way to assess chest CT sequelae due to COVID-19 pneumonia; however, a great variability among measurements provided by different tools should be considered.