Variations and Predictors of Post-COVID Syndrome Severity in Patients Attending a Post-COVID Outpatient Clinic

Possible link between steatotic liver diseases, severe COVID-19 and cognitive impairment in post-COVID-19 syndrome

PURPOSE

Steatotic liver diseases (SLD) have become more prevalent over the last decade and are associated not only with cardiometabolic diseases but also with psychological symptoms (depression, fatigue). These symptoms are also common in post-COVID syndrome (PCS). Therefore, the aim of the study was to analyze the burden of SLD in PCS patients.

METHODS

We systematically screened all PCS patients from our post-COVID outpatient clinic using transient elastography, structured questionnaires for neurocognitive evaluation and blood sample analysis. Controls without PCS and without known liver diseases were also recruited and assessed with the same approach.

RESULTS

560 PCS patients and 103 healthy controls were included. The overall prevalence of SLD was high in both cohorts (57 vs. 53%). PCS patients with SLD were more frequently male (41 vs. 24%), older (52 vs. 44 years) and had more cardiometabolic diseases (87.0 vs. 46.4%). Cognitive impairment was more related to SLD in PCS patients than in the no-SLD group (OR: 1.68, CI: 1.14-2.46, p = 0.008). The presence of SLD was related to severe COVID-19 with hospitalization (OR: 2.91, CI: 1.85-4.56, p < 0.001). Within 1 year of the follow-up, 152 of 289 patients described a resolution in PCS irrespective of the presence or absence of SLD (log-rank p = 0.96).

CONCLUSIONS

SLD is associated with severe COVID-19 and cognitive dysfunction in PCS. Longitudinal studies are needed to assess the role of hepatic steatosis, development of post-acute infection regulation (e.g., SARS-CoV-2) and to differentiate between SLD-associated symptoms and PCS.

Unveiling risk factors for post-COVID-19 syndrome development in people with type 2 diabetes

Introduction

Post-COVID-19 syndrome (PCS) is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection-associated chronic condition characterized by long-term violations of physical and mental health. People with type 2 diabetes (T2D) are at high risk for severe COVID-19 and PCS.

Aim

The current study aimed to define the predictors of PCS development in people with T2D for further planning of preventive measures and improving patient outcomes.

Materials and methods

The data were collected through the national survey targeting persons with T2D concerning the history of COVID-19 course and signs and symptoms that developed during or after COVID-19 and continued for more than 12 weeks and were not explained by an alternative diagnosis. In total, 469 patients from different regions of Ukraine were enrolled in the study. Among them, 227 patients reported PCS development (main group), while 242 patients did not claim PCS symptoms (comparison group). Stepwise multivariate logistic regression and probabilistic neural network (PNN) models were used to select independent risk factors.

Results

Based on the survey data, 8 independent factors associated with the risk of PCS development in T2D patients were selected: newly diagnosed T2D (OR 4.86; 95% CI 2.55-9.28; p<0.001), female sex (OR 1.29; 95% CI 0.86-1.94; p=0.220), COVID-19 severity (OR 1.35 95% CI 1.05-1.70; p=0.018), myocardial infarction (OR 2.42 95% CI 1.26-4.64; p=0.002) and stroke (OR 3.68 95% CI 1.70-7.96; p=0.001) in anamnesis, HbA1c above 9.2% (OR 2.17 95% CI 1.37-3.43; p=0.001), and the use of insulin analogs (OR 2.28 95% CI 1.31-3.94; p=0.003) vs human insulin (OR 0.67 95% CI 0.39-1.15; p=0.146). Although obesity aggravated COVID-19 severity, it did not impact PCS development. In ROC analysis, the 8-factor multilayer perceptron (MLP) model exhibited better performance (AUC 0.808; 95% CІ 0.770-0.843), allowing the prediction of the risk of PCS development with a sensitivity of 71.4%, specificity of 76%, PPV of 73.6% and NPV of 73.9%.

Conclusions

Patients who were newly diagnosed with T2D, had HbA1c above 9.2%, had previous cardiovascular or cerebrovascular events, and had severe COVID-19 associated with mechanical lung ventilation were at high risk for PCS.

Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON)

PURPOSE

The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates of a recently developed PCS score.

METHODS

The PCS score was applied to the prospective, multi-center cross-sectoral cohort (in- and outpatients with SARS-CoV-2 infection) of the "National Pandemic Cohort Network (NAPKON, Germany)". Symptom assessment and patient-reported outcome measure questionnaires were analyzed at 3 and 12 months (3/12MFU) after diagnosis. Scores indicative of PCS severity were compared and correlated to demographic and clinical characteristics as well as quality of life (QoL, EQ-5D-5L).

RESULTS

Six hundred three patients (mean 54.0 years, 60.6% male, 82.0% hospitalized) were included. Among those, 35.7% (215) had no and 64.3% (388) had mild, moderate, or severe PCS. PCS severity groups differed considering sex and pre-existing respiratory diseases. 3MFU PCS worsened with clinical severity of acute infection (p = .011), and number of comorbidities (p = .004). PCS severity was associated with poor QoL at the 3MFU and 12MFU (p < .001).

CONCLUSION

The PCS score correlated with patients' QoL and demonstrated to be instructive for clinical characterization and stratification across health care settings. Further studies should critically address the high prevalence, clinical relevance, and the role of comorbidities.

TRAIL REGISTRATION NUMBER

The cohort is registered at www.

CLINICALTRIALS

gov under NCT04768998.

Anxiety in Patients with Post-COVID Syndrome: Associated Factors

Introduction

The term "post-COVID-19 syndrome" describes a range of symptoms persisting beyond the acute phase of the disease. These symptoms predominantly include fatigue, muscle pain, shortness of breath, and psychological issues. Research additionally suggests the possibility of long-term neurological and psychiatric impairment associated with COVID-19.

Methodology

The study included patients who visited the post-COVID outpatient clinic between April 2020 and June 2022. The examination included the detailed history taking, including the COVID-19 course, posteroanterior chest X-ray and pulmonary function tests. Anxiety level was assessed using the Beck Anxiety Inventory (BAI). The relationship between anxiety, demographic data, and course of the disease, need for hospital admission during the acute phase, oxygen therapy, post-inflammatory changes on the chest X-ray and lung function parameters was investigated.

Results

This study included 1756 patients who experienced COVID-19 and visited a post-COVID outpatient clinic. The majority of individuals experienced a mild form of the infection. The results showed that younger age and female gender were associated with significantly higher anxiety scores. Inpatients had lower BAI values than those who were not hospitalized during acute phase. Patients with post-inflammatory changes on chest X-ray had surprisingly lower BAI values. Lower values of FEV1 (forced expiratory volume in 1 second), DLCO (diffusing capacity of the lungs for carbon monoxide), and KCO (carbon monoxide transfer coefficient) were associated with significantly higher BAI values. Female gender was associated with higher levels of anxiety. In contrast, higher FEV1 values reduced the risk of a pathological level of anxiety.

Conclusion

In our study, the influence of age, gender, inpatient care during the acute phase of infection, the presence of post-inflammatory changes on the chest diagram and selected parameters of lung function (FEV1, DLCO, and KCO) were shown to be important factors in the assessment of anxiety symptoms in post-COVID patients.

Three-Month Follow-Up of the Post-COVID Syndrome after Admission to a Specialised Post-COVID Centre-A Prospective Study Focusing on Mental Health with Patient Reported Outcome Measures (PROMs)

BACKGROUND AND OBJECTIVE

The impairments and duration of PASC (post-acute sequelae of COVID-19) symptoms in mental health have, to date, not been comprehensively examined. Our objective is to provide longitudinal data on the mental health of Post-COVID patients and to identify risk and protective factors associated with a severe or prolonged course.

METHODS

The mental health of 265 Post-COVID patients of the outpatient Post-COVID centre of the University Hospital Erlangen was assessed 17.1 (T0) and 22.5 months after infection (T1). An online survey with validated questionnaires for Post-COVID symptoms (Post-COVID Syndrome Score), depression (Patient Health Questionnaire-9), somatic symptoms (Patient Health Questionnaire-15), anxiety (Generalized Anxiety Disorder-7), fatigue (Fatigue Severity Scale) and Post-Exertional Malaise (PEM) (DePaul Post-Exertional Malaise Screening) was conducted in the home environment.

RESULTS

In total, 80% of patients experienced severe PASC at follow-up. Clinically relevant symptoms of depression, persistent somatic symptoms, anxiety and fatigue were reported by 55.8%, 72.5%, 18.9% and 89.4% of patients, respectively. Depressive, anxiety and somatic symptom severity decreased significantly over time; fatigue and PEM remained at an unchanged high level. The risk factor for higher depression scores was older age; prior psychiatric illness treated with psychotherapy was associated with more severe depressive, somatic, anxiety and PASC symptoms. PEM symptoms were significantly associated with longer duration between acute infection and initial presentation in the Post-COVID centre.

CONCLUSIONS

Our findings align with previous research, claiming severe mental health symptoms in PASC syndrome, lasting for months after infection. In-depth assessment of risk and protective factors for the mental health implications of PASC is needed for the planning of health services and disease prevention.

Impact of Long COVID-19 on Health Outcomes Among Adults With Preexisting Cardiovascular Disease and Hypertension: A Systematic Review

Background

This review summarizes the impact of long COVID (LC) on the health of adults with preexisting cardiovascular disease (CVD) and hypertension.

Methods

We searched Medline, Web of Science (Core Collection), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL), without language restrictions, for articles published from December 1, 2019 through October 10, 2023, to ensure all relevant studies were captured. We included studies that enrolled adults (aged ≥18 years) diagnosed with CVD prior to COVID-19 infection whose infection was subsequently determined to be LC per the World Health Organization definition. We excluded studies with adults diagnosed with CVD concurrent with or subsequent to COVID-19 or with those who solely self-reported LC. We used a custom-built data extraction form to collect a range of study characteristics. Study quality was assessed using modified versions of the National Heart, Lung, and Blood Institute quality-assessment tools.

Results

A total of 13,779 studies were identified; 53 were included in the final analysis. Of these, 27 were of good quality and 26 were of fair quality. Health outcomes consisted of the presence of prolonged symptoms of LC (n = 29), physiological health outcomes (n = 20), lifestyle behaviours (n = 19), psycho-social outcomes (n = 13), CVD complications (n = 5), and death and hospital readmission (n = 5). Thirty-four studies incorporated 2 or more outcomes, and 19 integrated only 1.

Conclusions

Given the significant impact of LC among individuals with preexisting CVD, specially tailored clinical management is needed for members of this population. Additional studies on the impact of LC among those with CVD and other underlying conditions also would be beneficial.