Recovered COVID-19 Patients Research Articles

Post-COVID-19 pulmonary complications among recovered COVID-19 patients: a cross-sectional study from Addis Ababa, Ethiopia

BackgroundThe COVID-19 pandemic has been linked to chronic pulmonary complications all over the world. Respiratory complications such as chronic cough, dyspnea, increased respiratory rate, and oxygen support demand are prevalent in recovered COVID-19 patients. These problems are long-term and have a negative impact on one’s quality of life. Patients must be evaluated for potential complications, and risk factors must be found. Some reports around the world explain the factors that contribute to the development of these complications. However, to the best of our understanding, no reports of post-COVID-19 complications have been reported from Ethiopia.MethodsFacility based cross-sectional study was done among 405 participants selected by simple random sampling technique. Structured questionnaire which includes participants’ demographic, clinical and 3rd month visit characteristics was collected by Open Data Kit and exported to SPSS version 25.0 for analysis. Percentage with frequency and median with Interquartile range was used in descriptive statistics. The association between variables was analyzed with bivariate and multi variable logistic regression. A statistical significance was declared at p-value < 0.05, with 95% confidence interval.ResultsThe median (Interquartile range) age of participants was 57.0 (43.0, 65.0) years, 63.2% were males. The prevalence of post-COVID-19 pulmonary complication in recovered COVID-19 patients was 14.1% (95% CI: 10.8%, 17.8%). After adjusting for possible confounders on multivariate analysis, older age [AOR = 0.227, 95% CI (0.08–0.66)] and consolidation [AOR = 0.497, 95% CI (0.258–0.957)] were shown to have significant association with post COVID-19 pulmonary complications.ConclusionThe prevalence of post COVID-19 pulmonary complication was observed to be lower than other reports globally. Older age and the presence of consolidation on lung imaging were associated with those complications. Clinicians are recommended to consider assessing the lasting effects of the pandemic, beyond immediate care, and should also investigate the COVID-19 history in patients presenting with respiratory issues.

Evaluation of endothelial dysfunction and inflammation in recovered COVID-19 patients

Aim: In our study, we aimed to evaluate the endothelial functions and hemogram parameters, which are considered as inflammation markers, in young people with a history of COVID-19 infection.&#x0D; Methods: This prospective study included 109 recovered COVID-19 patients and 50 healthy controls. Demographic characteristics, laboratory values and flow-mediated vasodilation test (FMD) results of the groups were compared.&#x0D; Results: Demographic and biochemistry parameters of the groups were similar. The calculated FMD values were significantly lower in the recovered COVID-19 patient group compared to the control group (8.66±3.31 vs 11.69±3.01; p= 0.001). While there was no difference between the groups in terms of neutrophil/lymphocyte ratio (NLR) and Platelet/Lymphocyte ratio (PLR), systemic immune-inflammation index (SII) was found to be higher in the patient group with recovered COVID-19 patients (p = 0.02). In correlation analysis, there was a low moderate negative correlation between FMD and SII (r = -0.35, p=0.002).&#x0D; Conclusion: FMD measurement and SII are simple, easily accessible parameters that can be useful in the early period to evaluate cardiovascular risks in the long term after COVID-19. There is a need for larger and multicenter studies on this subject.

PB0046 Increased Platelet Activation Demonstrated by Elevated CD36 and P-Selectin Expression in 1-year Post Recovered COVID-19 Patients

PB0046 Increased Platelet Activation Demonstrated by Elevated CD36 and P-Selectin Expression in 1-year Post Recovered COVID-19 Patients

Role of CD27 and SAMHD1 and their genetic susceptibility to COVID-19

SARS-CoV-2, which initiated the worldwide COVID-19 epidemic in 2019, has rapidly emerged and spread, resulting in significant public health challenges worldwide. The COVID-19 severity signs and their association with specific genes have been investigated to better comprehend this phenomenon. In this study, several genes were investigated to see whether they correspond with COVID-19 sickness severity.This research aims to determine and evaluate certain gene expression levels associated with the immune system, as these genes were reported to play important roles in immune control during the COVID-19 outbreak. We analyzed two immunity-linked genes: CD27 and SAMHD1 in COVID-19 patients’ samples using RT-PCR, compared them to the samples from recovered, immunized, and healthy individuals. These data were examined to determine the potential relationships between clinical patterns, illness severity, and progression, and SARS-CoV-2 infection immunology.We observed that CD27 gene expression was higher in COVID-19 vaccinated and control groups, but lower in active and recovered COVID-19 patients. On the other hand, SAMHD1 gene expression was elevated in infected and recovered COVID-19 groups. According to our study, the proteins CD27 and SAMHD1 are essential for controlling the immunological response to COVID-19. Changes in their expression levels could increase the susceptibility of patients to severe complications associated with the disease. Therefore, the gene expression level of these proteins could serve as viable prognostic markers for COVID-19.

Stimuli-Responsive Hydrogel Microcapsules Harnessing the COVID-19 Immune Response for Cancer Therapeutics.

The combination of gene therapy and immunotherapy concepts, along recent advances in DNA nanotechnology, have the potential to provide important tools for cancer therapies. We present the development of stimuli-responsive microcapsules, loaded with a viral immunogenetic agent, harnessing the immune response against the Coronavirus Disease 2019, COVID-19, to selectively attack liver cancer cells (hepatoma) or recognize breast cancer or hepatoma, by expression of green fluorescence protein, GFP. The pH-responsive microcapsules, modified with DNA-tetrahedra nanostructures, increased hepatoma permeation by 50%. Incorporation of a GFP-encoding lentivirus vector inside the tumor-targeting pH-stimulated miRNA-triggered and Alpha-fetoprotein-dictated microcapsules enables the demonstration of neoplasm selectivity, with approximately 5,000-, 8,000- and 50,000-fold more expression in the cancerous cells, respectively. The incorporation of the SARS-CoV-2 spike protein in the gene vector promotes specific recognition of the immune-evading hepatoma by the COVID-19-analogous immune response, which leads to cytotoxic and inflammatory activity, mediated by serum components taken from vaccinated or recovered COVID-19 patients, resulting in effective elimination of the hepatoma (>85% yield).

The assessment of post-covid-19 Manifestations in recovered patients and The factors associated with high symptom burden

Background: Persistent COVID-19 symptoms and post-COVID chronic diseases have received more attention rather than the infection itself. This study’s goal was to evaluate the health status of recovered COVID-19 patients and analyze the factors associated with a high burden of symptoms. Methods: This was acohort study among hospital-released and recovered COVID-19 patients after three to six months of infection. Data was collected through a structured interview and analyzed by IBM SPSS (version25). Results: Fatigue (74.2%) followed by anxiety (38.9%) and joints paint (34.7%) were the most common symptoms of post-COVID period. Among participants, 21.34% had low dietary adherence and 17.2% had high adherence. A statistically significant correlation of high symptoms burden with dietary adherence and age was observed. People with low dietary adherence are at risk of high symptom burden and chronic diseases (AOR: 3.56, 95%CI:1.46-8.69). Habit of smoking, Asthma, Hypothyroidism, Ischemic heart disease are significant predictor (P&lt;0.05). Patients those did not required ICU also had a lower risk of burden. Conclusion: Effective control of post- COVID symptoms is important to confirm a healthy life. Therefore, it is important to maintain good dietary practice, avoid bad habits and control of chronic diseases for a good quality of life. Bangladesh J Medicine 2023; 34(3): 214-222

Anosmia predicts memory impairment in post-COVID-19 syndrome: results of a neuropsychological cohort study.

Recovered COVID-19 patients frequently suffer of cognitive disorders. Several etiopathogenetic mechanisms have been considered for the brain complications in COVID-19 but results are uncertain. Amongst them, an olfactory route to SARS-CoV-2 brain infection might explain cognitive and memory disturbances in post-COVID-19 patients, given the cooccurrence of anosmia and possible underlying limbic involvement. The aims of the study are to investigate cognition of patients with post-COVID-19 syndrome, and to find clinical factors predicting cognitive and memory impairments. 18 patients with post-COVID-19 syndrome underwent neuropsychological assessment and evaluation of clinical parameters. Stepwise regression analysis was used between clinical parameters as factors and cognitive global scores as dependent variables. Since only anosmia predicted memory performances, repeated measures ANOVA of memory scores was conducted between anosmic and non-anosmic patients. We found lack of association between clinical parameters and cognitive performances. Only anosmia was a good predictor for memory performances, with anosmic subjects showing a temporo-mesial amnesic profile. Our study shows novel findings of causal association between transient anosmia during COVID-19 and memory disorders with temporo-mesial dysfunction, probably sharing a common pathophysiological mechanism, and suggesting a possible SARS-CoV 2 infection of the limbic brain via the olfactory route. In contrast to previous studies, cognitive dysfunctions were not associated with respiratory distress, comorbidity, and depression.

Differences in leucocytes and inflammation-based indices among critically ill patients owing to SARS-CoV-2 variants during several successive waves of COVID-19 pandemic

Background/AimInflammatory indices are useful informative markers in assessing the severity of the COVID-19 disease course; however, their involvements during series waves of SARS-CoV-2 virus outbreaks in critical patients with COVID-19 remain unclear. Hence, we aimed to ascertain the changing dynamics of the combined inflammatory indices (NLR, dNLR, CLR, LMR, PLR, SII, and SIRI) and their associations with clinical outcomes in severe COVID-19 patients during serial waves of SARS-CoV-2. Patients and methodsWe retrospectively enrolled 163 severe COVID-19 patients admitted to the ICU during six SARS-CoV-2 waves. ResultsWe found that most of patients admitted to the ICU were from the fourth wave. Patients in the fourth wave were considerably younger and had the highest percentage of ARDS than other waves. The highest CRP was found in the first wave, while the lowest in patients admitted in the sixth wave. Although most of the COVID-19 waves were marked with leukocytosis, neutrophilia, and lymphocytopenia, the lowest of both NLR and dNLR were found in the fourth wave “Delta wave” and the lowest of both CLR and SII were observed in “Omicron wave”. Interestingly, during most of the COVID-19 waves, the derived combined inflammatory ratio NLR, dNLR, CLR, SII and SIRI were sustained at high levels in fatal cases at the last day of hospitalization, while these indices declined in the alive group at the end of ICU hospitalization. No major difference was identified in lymphocyte count between admission and the last day of hospitalization in both deceased and recovered COVID-19 patients during Delta and Omicron waves. Moreover, patients admitted in the Omicron wave had less severe disease compared to those admitted in the Delta wave. The Kaplan-Meier analysis revealed no significant difference in survival rates or the probability of respiratory failure between six successive COVID-19 waves. ConclusionTaken together, our results showed marked differences in the alteration of nonspecific inflammation and damage in the adaptive immune response during the six serial SARS-CoV-2 waves. Considering the inflammatory response of infectious diseases, embedding inflammatory indices informative markers into routine clinical testing offers the potential to mitigate the impact of future pandemics of COVID-19 and other infectious diseases.

Colostrum Features of Active and Recovered COVID-19 Patients Revealed Using Next-Generation Proteomics Technique, SWATH-MS.

Colostrum performs nutritional, anti-inflammatory and anti-infective functions and promotes immune system formation and organ development. The new coronavirus, SARS-CoV-2, has generated concerns about viral transmission through human milk, with a lack of evidence about human milk's protective effects against the infection. This study aimed at analyzing presence of the virus and at identifying the protein expression profile of human colostrum in active and COVID-19-recovered patients. Colostrum samples were collected from women with COVID-19 (n = 3), women recently recovered from the infection (n = 4), and non-infected women (n = 5). The samples were analyzed by means of RT-qPCR to determine presence of the virus and using SWATH-MS for proteomic analysis. Proteomic results were then analyzed using bioinformatic methods. The viral tests were negative for SARS-CoV-2 in the colostrum from COVID-19 patients. The proteomic analysis identified 301 common proteins in all samples analyzed. Nineteen proteins were upregulated and 7 were downregulated in the COVID-19 group versus the control samples, whereas 18 were upregulated and 7 were downregulated when comparing the COVID-19 group to the recovered group. Eleven proteins were biomarkers of active COVID-19 infection. Ten were upregulated: ACTN1, CD36, FAM3B, GPRC5B, IGHA2, IGK, PLTP, RAC1, SDCBP and SERPINF1, and one was downregulated: PSAP. These proteins are mainly related to immunity, inflammatory response and protein transport. In conclusion, the results of this study suggest that colostrum is not a vehicle for mother-to-child SARS-CoV-2 transmission. Moreover, the colostrum's proteome of active and recuperated patients indicate that it could provide immune benefits to infants.

Prevalence and factors associated with long COVID and mental health status among recovered COVID-19 patients in southern Thailand.

Mental health disorders have become a growing public health concern among individuals recovering from COVID-19. Long COVID, a condition where symptoms persist for an extended period, can predict psychological problems among COVID-19 patients. This study aimed to investigate the prevalence of long COVID and mental health status among Thai adults who had recovered from COVID-19, identify the association between the mental health status and long COVID symptoms, and investigate the risk factors associated with the correlation between long COVID and mental health outcomes. A cross-sectional study was conducted among 939 randomly selected participants in Nakhon Si Thammarat province, southern Thailand. The Depression, Anxiety, and Stress Scale-21 was used to investigate mental health symptoms, and a checklist comprised of thirteen common symptoms was used to identify the long COVID among participants. Logistic regression models were used to investigate the risk factors associated with mental health status and long COVID symptoms among participants. Among the 939 participants, 104 (11.1%) had depression, 179 (19.1%) had anxiety, and 42 (4.8%) were stressed. A total of 745 participants (79.3%) reported experiencing at least one symptom of long COVID, with fatigue (72.9%, SE±0.02), cough (66.0%, SE±0.02), and muscle pain (54.1%, SE±0.02) being the most frequently reported symptoms. All long COVID symptoms were significantly associated with mental health status. Shortness of breath, fatigue, and chest tightness were the highest risk factors for mental health status among COVID-19 patients. The final multivariable model indicated that female patients (OR = 1.89), medical history (OR = 1.92), and monthly income lower than 5,000 Thai baht (OR = 2.09) were associated with developing long COVID symptoms and mental health status (all p<0.01). This study provides valuable insights into the potential long-term effects of COVID-19 on mental health and enhances understanding of the mechanisms underlying the condition for predicting the occurrence of mental health issues in Thai COVID-19 patients.

Prevalence of Post Recovery Manifestations in Post-COVID Patients: A Cross-Sectional Study

Post recovery manifestations are another concern in patients who have recovered from COVID-19. Various reports have shown that COVID-19 has variety of long-term effects on almost all systems of the body. We aimed to investigate the prevalence and post-recovery manifestations among COVID-19 survivors. This study enrolled in 160 recovered COVID-19 patients in Almora and Ramnagar. A special questionnaire was designed to inquire about the current health status of patients and their persistent symptoms in the post-COVID period. Data was analysed by using SPSS- 20 software. The results concluded that a considerable part of patients with COVID-19 had persistent symptoms even 4–5 months after COVID-19 diagnosis, and even patients with a mild-to-moderate disease suffered from persistent symptoms. Post-COVID syndrome (PCS) has been associated with poor quality of life but in our study, there is no association between gender and quality of life among the five parameters i.e., mobility, self-care, usual activities, pain/ discomfort and anxiety/ depression. Patients should be enlightened about the long-term effects of COVID-19 and awareness about post-recovery follow-up should be raised. Keywords: Post-COVID syndrome, Novel Coronavirus disease 2019, COVID-19

Risk of ischemic stroke in patients recovered from COVID-19 infection: A systematic review and meta-analysis.

Data regarding the risk of ischemic stroke within 1 year after the post-acute phase of COVID-19 remain scant. We assess the risk of ischemic stroke in COVID-19 survivors after SARS-CoV-2 infection by performing a systematic review and meta-analysis of the available data. Following the PRISMA guidelines, we searched Medline and Scopus to locate all articles published up to February 11, 2023, reporting the risk of incident ischemic stroke in adult patients recovered from COVID-19 infection compared to non-infected patients (controls) defined as those who did not experience the infection over the same follow-up period. Ischemic stroke risk was evaluated using the Mantel-Haenszel random effects models with adjusted Hazard ratio (HR) as the effect measure with 95% confidence interval (CI) while heterogeneity was assessed using Higgins I2 statistic. Overall, 23,559,428 patients (mean age 56, 1 year, 54.3% males), of whom 1,595,984 had COVID-19, were included. Over a mean follow-up of 9.2 months, ischemic stroke occurred in 4.40 [95% CI: 4.36-4.43] out of 1000 patients survived to COVID-19 compared to 3.25 [95% CI:3.21-3.29] out of 1000 controls. Recovered COVID-19 patients presented a higher risk of ischemic stroke ((HR: 2.06, 95% CI: 1.75-2.41, p < 0.0001, I2 = 63.7%) compared to people who did not have COVID-19. COVID-19 patients hospitalized at the time of the infection have a subsequent higher risk of stroke during the follow-up compared to those non-hospitalized. Recovered COVID-19 patients have a higher risk of ischemic stroke compared to subjects from the general population within 9 months from the index infection.

New-onset neurodegenerative diseases as long-term sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis.

The association between SARS-CoV-2 infection with increased risk for new-onset neurodegenerative diseases remains unclear. Therefore, this meta-analysis aims to elucidate whether new-onset neurodegenerative diseases are long-term sequelae of SARS-CoV-2 infection.PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched for articles published up toJanuary 10, 2023. A systematic review and meta-analysis were performed to calculate the pooled effect size, expressed as hazard ratios (HR) with corresponding 95% confidence interval (CI) of each outcome.Twelve studies involving 33 146 809 individuals (2 688 417 post-COVID-19 cases and 30 458 392 controls) were included in the present meta-analysis. The pooled analyses compared with control groups showed a significant association between SARS-CoV-2 infection and increased risk for new-onset Alzheimer's disease (HR = 1.50, 95% CI 1.22-1.85, I2 = 97%), dementia (HR = 1.66, 95% CI 1.42-1.94, I2 = 91%), and Parkinson's disease (HR = 1.44, 95% CI 1.06-1.95, I2 = 86%) among COVID-19 survivors.SARS-CoV-2 infection may be associated with a higher risk for new-onset neurodegenerative diseases in recovered COVID-19 patients. Future studies are warranted to determine the biological mechanisms underlying the neurodegenerative consequences of COVID-19 as long-term sequelae of SARS-CoV-2 infection.

Long haul in asymptomatic and mild symptomatic COVID-19 patients: A community-based study in Northern India

Introduction: COVID-19, is a highly contagious disease caused by Novel Corona Virus SARS-Cov-2. After initial infection, most patients recover completely, but in some patients, symptoms may persist for variable duration. This study was planned to evaluate different persistent symptoms of long COVID among the people of Northern India, who had asymptomatic or mild disease during active infection stage. Methods: A cross sectional study was done in Chandigarh, India, during August 2021 to June 2022. A total of 647 recovered COVID-19 patients, who had suffered of COVID almost ≥3 months back were included in the study. A self-designed questionnaire was developed for the survey. Participants were followed up till 3 months. Results: Out of 647 subjects enrolled, 27.5% had some post-COVID symptoms. Among symptomatic, 55.1% were males and 44.9% were females. Post-COVID headache was significantly more common in females. Sleep disturbances and history of pain and pressure that spreads to arms were significantly more common among non-smokers. Sleep disturbances and change of appetite were significantly more common among non-alcohol users. Chest discomfort and change of appetite were found to be significantly more common among non-hypertensive subjects. Symptoms of chest discomfort, sleep disturbances, anxiety, feeling of sadness on daily basis and forgetfulness was significantly more common among subjects without underlying heart disease, while weakness among patients with underlying lung disease. Poor concentration was found to be significantly more common among patients without underlying lung disease and that in the age group 26-50 years, followed by 51-75 years and 76-100 years. Conclusion: This study attempted to assess the prevalence of post COVID complications among the asymptomatic and mild COVID patients. From the clinical point of view, physicians should be aware of the symptoms, signs, and biomarkers present in patients previously affected by COVID-19 to promptly assess, identify and halt long COVID-19 progression, minimize the risk of chronic effects and to re-establish pre-COVID-19 health.

Antioxidant Genetic Variants Modify Echocardiography Indices in Long COVID.

Although disturbance of redox homeostasis might be responsible for COVID-19 cardiac complications, this molecular mechanism has not been addressed yet. We have proposed modifying the effects of antioxidant proteins polymorphisms (superoxide dismutase 2 (SOD2), glutathione peroxidase 1 (GPX1), glutathione peroxidase 3 (GPX3) and nuclear factor erythroid 2-related factor 2, (Nrf2)) in individual susceptibility towards the development of cardiac manifestations of long COVID-19. The presence of subclinical cardiac dysfunction was assessed via echocardiography and cardiac magnetic resonance imaging in 174 convalescent COVID-19 patients. SOD2, GPX1, GPX3 and Nrf2 polymorphisms were determined via the appropriate PCR methods. No significant association of the investigated polymorphisms with the risk of arrhythmia development was found. However, the carriers of variant GPX1*T, GPX3*C or Nrf2*A alleles were more than twice less prone for dyspnea development in comparison with the carriers of the referent ones. These findings were even more potentiated in the carriers of any two variant alleles of these genes (OR = 0.273, and p = 0.016). The variant GPX alleles were significantly associated with left atrial and right ventricular echocardiographic parameters, specifically LAVI, RFAC and RV-EF (p = 0.025, p = 0.009, and p = 0.007, respectively). Based on the relation between the variant SOD2*T allele and higher levels of LV echocardiographic parameters, EDD, LVMI and GLS, as well as troponin T (p = 0.038), it can be proposed that recovered COVID-19 patients, who are the carriers of this genetic variant, might have subtle left ventricular systolic dysfunction. No significant association between the investigated polymorphisms and cardiac disfunction was observed when cardiac magnetic resonance imaging was performed. Our results on the association between antioxidant genetic variants and long COVID cardiological manifestations highlight the involvement of genetic propensity in both acute and long COVID clinical manifestations.

A likely association between low mannan-binding lectin level and brain fog onset in long COVID patients.

Brain fog can be described as a constellation of new-onset neuropsychiatric sequelae in the post-acute phase of COVID-19 (long COVID). The symptoms include inattention, short-term memory loss, and reduced mental acuity, which may undermine cognition, concentration, and sleep. This cognitive impairment, persisting for weeks or months after the acute phase of SARS-CoV-2 infection, can significantly impact on daily activities and the quality of life. An important role for the complement system (C) in the pathogenesis of COVID-19 has emerged since the beginning of pandemic outbreak. A number of pathophysiological characteristics including microangiopathy and myocarditis have been attributed to dysregulated C activation due to SARS-CoV-2 infection. Mannan-binding lectin (MBL), the first recognition subcomponent of the C lectin pathway, has been shown to bind to glycosylated SARS-CoV-2 spike protein, genetic variants of MBL2 are suggested to have an association with severe COVID-19 manifestations requiring hospitalization. In the present study, we evaluated MBL activity (lectin pathway activation) and levels in the sera of a cohort of COVID-19 patients, presenting brain fog or only hyposmia/hypogeusia as persistent symptoms, and compared them with healthy volunteers. We found significantly lower levels of MBL and lectin pathway activity in the sera of patients experiencing brain fog as compared to recovered COVID-19 patients without brain fog. Our data indicate that long COVID-associated brain fog can be listed among the variegate manifestations of increased susceptibility to infections and diseases contributed by MBL deficiency.

Prevalence and predictors of depression, anxiety, and stress among recovered COVID-19 patients in Vietnam.

During the COVID-19 pandemic, a high prevalence of mental health distress has been reported among people who have recovered from the disease. To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam. The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression. The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress. People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.

Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram.

This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify "cardiospikes" present in the ECG data of individuals who have experienced a COVID-19 infection. With a test sample, we achieve an 87 percent accuracy in detecting these cardiospikes. Importantly, our research demonstrates that these observed cardiospikes are not artifacts of hardware-software signal distortions, but rather possess an inherent nature, indicating their potential as markers for COVID-specific modes of heart rhythm regulation. Additionally, we conduct blood parameter measurements on recovered COVID-19 patients and construct corresponding profiles. These findings contribute to the field of remote screening using mobile devices and heart rate telemetry for diagnosing and monitoring COVID-19.

One-Year Risk of Myocarditis After COVID-19 Infection: A Systematic Review and Meta-analysis.

Acute myocarditis has been described as a relatively rare cardiovascular complication of COVID-19 infection. However, data regarding the risk of myocarditis during the post-acute phase of COVID-19 are scant. We assess the risk of incident myocarditis in COVID-19 survivors within 1 year from the index infection by a systematic review and meta-analysis of the available data. Data were obtained by searching Medline and Scopus for all studies published at any time up to September 1, 2022, and reporting the long-term risk of incident myocarditis in COVID-19 survivors. Myocarditis risk data were pooled using the Mantel-Haenszel random-effects models with hazard ratio (HR) as the effect measure with 95% confidence interval (CI). Heterogeneity among studies was assessed using the Higgins-Thompson I2 statistic. Overall, 20,875,843 patients (mean age 56.1 years, 59.1% male) were included in this analysis. Of them, 1,245,167 experienced (and survived) COVID-19 infection. Over a mean follow-up of 9.5 months, myocarditis occurred to 0.21 (95% CI 0.13-0.42) out of 1000 patients survived to COVID-19 infection compared with 0.09 [95% CI 0.07-0.12) out of 1000 control subjects. Pooled analysis revealed that recovered COVID-19 patients presented an increased risk of incident myocarditis (HR 5.16, 95% CI 3.87-6.89; P < 0.0001; I2= 7.9%) within 1 year from the index infection. The sensitivity analysis confirmed yielded results. Our findings suggest that myocarditis represents a relatively rare but important post-acute COVID-19 sequelae.

Humoral immune response against SARS COV-2 infection in hospitalized COVID-19 patients and healthcare workers

Background: COVID-19 is a worldwide pandemic causing huge burden on healthcare facilities. Most of the cases were asymptomatic and few were symptomatic. We still comprehensively did not know the exact estimated COVID-19 (symptomatic &amp; asymptomatic) population. We had needed to identify the asymptomatic population of COVID-19 through the immune response of IgG antibody titer against spike protein of SARS CoV-2. The aim of the study is to determine the seroconversion in hospitalized COVID-19 patients and seroprevalence among healthcare workers and control community group against SARS CoV-2 infection. Methods: This observational study was carried out in COVID-19 unit of Bangabandhu Sheikh Mujib Medical University (BSMMU). Information about sociodemographic status, comorbidities, results of antibody response (IgG titer) and other relevant information was collected using a pre-designed data collection sheet. In this study, total 211 participants included and total 343 samples was taken for IgG titer measurement by ELISA method. The data was analyzed by SPSS version 25 and Graph pad prism version 8. Statistical analysis was done by using Chi-square test, Student’s t-test or Mann-Whitney U test. Statistical significance was defined as p value d”0.05. Results: Among COVID-19 patients 58.6% (34) were male and 41.4% (24) were female, median (IQR) age was 45.5 (33 to 57) and median (IQR) Body Mass Index (BMI) was 25.4 (23.39 to 27.42). Among the Healthcare workers 54.9% (84) were male and 45.1% (69) were female, median (IQR) age was 30 (25 to 33) and median (IQR) Body Mass Index (BMI) was 24 (21.53 to 25.71). The antibody titer persisted for more than 3 months in all hospitalized patients and no one was seronegative during the study period. The overall seroprevalence of healthcare workers were 54.9% and Doctors- 38%, Nurses-53.84% &amp; Support staff- 72.54%. Anti-spike IgG titer was significantly higher in severe diseases but had no significant change with age, sex, body mass index, or diabetic status. Conclusion: This study shows persistence of antibody titers after 3 months in recovered COVID-19 patients. The results demonstrate high seroprevalence among the healthcare workers and control community group. Bangladesh J Medicine 2023; Vol. 34, No. 2(1) Supplement: 207