Risultati per: Indicazioni per la terapia domiciliare del COVID-19

Objectives
To examine trajectories of functional limitations, fatigue, health-related quality of life (HRQL) and societal costs of patients referred to long COVID clinics.

Design
A population-based longitudinal cohort study using real-time user data.

Setting
35 specialised long COVID clinics in the UK.

Participants
4087 adults diagnosed with long COVID in primary or secondary care deemed suitable for rehabilitation and registered in the Living With Covid Recovery (LWCR) programme between 4 August 2020 and 5 August 2022.

Main outcome measures
Generalised linear mixed models were fitted to estimate trajectories of functional limitations, using the Work and Social Adjustment Scale (WSAS); scores of ≥20 indicate moderately severe limitations. Other outcomes included fatigue using the Functional Assessment of Chronic Illness Therapy–Fatigue (FACIT-F) reversed score (scores of ≥22 indicate impairment), HRQL using the EQ-5D-5L, and long COVID-related societal costs, encompassing healthcare costs and productivity losses.

Results
The mean WSAS score at 6 months after registration in the LWCR was 19.1 (95% CI 18.6, 19.6), with 46% of the participants (95% CI 40.3%, 52.4%) reporting a WSAS score above 20 (moderately severe or worse impairment). The mean change in the WSAS score over the 6-month period was –0.86 (95% CI –1.32, –0.41). The mean reversed FACIT-F score at 6 months was 29.1 (95% CI 22.7, 35.5) compared with 32.0 (95% CI 31.7, 32.3) at baseline. The mean EQ-5D-5L score remained relatively constant between baseline (0.63, 95% CI 0.62, 0.64) and 6 months (0.64, 95% CI 0.59, 0.69). The monthly societal cost per patient related to long COVID at 6 months was £931, mostly driven by the costs associated with working days lost.

Conclusions
Individuals referred to long COVID clinics in the UK reported small improvements in functional limitations, fatigue, HRQL and ability to work within 6 months of registering in the LWCR programme.

New England Journal of Medicine, Volume 391, Issue 19, Page 1860-1862, November 14, 2024.

This Viewpoint summarizes the factors contributing to increased risk of severe outcomes and hospitalization associated with COVID-19 among older adults, stresses the importance of assessing COVID-19 risk before infection occurs, calls for all immunocompromised older adults to be considered for COVID-19 treatment, and details 3 recommended COVID-19 therapies.

Annals of Internal Medicine, Ahead of Print.

Circulation, Volume 150, Issue Suppl_1, Page A4142129-A4142129, November 12, 2024. Background:The clinical impact of neutrophil to lymphocyte ratio (NLR) and right ventricular (RV) dysfunction on clinical outcomes in COVID-19 have not been studied in the often-underrepresented Indonesian population.Aim:To investigate the role of NLR and RV dysfunction in Indonesian patients hospitalized for COVID-19.Methods:A retrospective cohort study was conducted at a COVID-19 referral hospital in Indonesia. We included all adult patients hospitalized with COVID-19 between April 2020 – April 2021 who had transthoracic echocardiography (TTE) during admission. Clinical data were extracted from electronic medical records. TTE variables were defined according to the American Society of Echocardiography criteria. All statistical analyses were conducted using the SPSS software. This study was approved by the IRB at Universitas Indonesia (#2022-01-135).Results:A total of 488 patients were included – 29 with and 459 without RV dysfunction. The mean age of the population was 54.8 (SD ± 13.5), and 42% were females. Receiver operating curve analysis and Youden’s J statistics were used to determine the optimal NLR cut-off (Figure 1). An NLR > 4.79 was considered elevated, and had a sensitivity of 70.6% and a specificity of 80.6% in predicting severe – critical COVID-19. A high NLR (OR: 3.38, P = 0.02) and LV systolic dysfunction (OR: 9.76, P < 0.01) were independently associated with RV dysfunction. In multivariate cox regression analysis, older age (HR: 1.02, P = 0.01), obesity (HR: 1.85, P < 0.01), chronic kidney disease (HR: 1.69, P = 0.01), high NLR (HR: 2.75, P < 0.01), and RV dysfunction (HR: 2.07, P = 0.02) increased the risk of 30-day mortality.Conclusions:In Indonesian patients hospitalized with COVID-19, A high NLR is predictive of severe – critical COVID-19 and is associated with RV dysfunction. A high NLR at admission and RV dysfunction independently increase the risk of 30-day mortality in hospitalized Indonesian adults with COVID-19.

Circulation, Volume 150, Issue Suppl_1, Page A4117883-A4117883, November 12, 2024. Introduction/Background:Cardiovascular symptoms appear in a high proportion of patients in the few months following a severe SARS-CoV-2 infection. Non-invasive methods to predict disease severity could help personalizing healthcare and reducing the occurrence of these symptoms.Research Questions/Hypothesis:We hypothesized that blood long noncoding RNAs (lncRNAs) and machine learning (ML) could help predict COVID-19 severity.Goals/Aims:To develop a model based on lncRNAs and ML for predicting COVID-19 severity.Methods/Approach:Expression data of 2906 lncRNAs were obtained by targeted sequencing in plasma samples collected at baseline from four independent cohorts, totaling 564 COVID-19 patients. Patients were aged 18+ and were recruited from 2020 to 2023 in the PrediCOVID cohort (n=162; Luxembourg), the COVID19_OMICS-COVIRNA cohort (n=100, Italy), the TOCOVID cohort (n=233, Spain), and the MiRCOVID cohort (n=69, Germany). The study complied with the Declaration of Helsinki. Cohorts were approved by ethics committees and patients signed an informed consent.Results/Data:After data curation and pre-processing, 463 complete datasets were included in further analysis, representing 101 severe patients (in-hospital death or ICU admission) and 362 stable patients (no hospital admission or hospital admission but not ICU). Feature selection with Boruta, a random forest-based method, identified age and five lncRNAs (LINC01088-201, FGDP-AS1, LINC01088-209, AKAP13, and a novel lncRNA) associated with disease severity, which were used to build predictive models using six ML algorithms. A naïve Bayes model based on age and five lncRNAs predicted disease severity with an AUC of 0.875 [0.868-0.881] and an accuracy of 0.783 [0.775-0.791].Conclusion:We developed a ML model including age and five lncRNAs predicting COVID-19 severity. This model could help improve patients’ management and cardiovascular outcomes.

Circulation, Volume 150, Issue Suppl_1, Page A4140585-A4140585, November 12, 2024. Introduction:Stroke-related mortality poses significant challenges in the US. Increased at-home deaths since COVID-19 pandemic prompted changes in the provision of end-of-life care.Question:What were the settings of stroke deaths in the US during COVID-19 pandemic?Methods:Decedent-level mortality data from death certificates in CDC repository were obtained for the year 2020 (pandemic) and 2019 (comparison). Demographic data include age, sex, race/ethnicity, education, marital status, and place of stroke death, including inpatient, outpatient/emergency room (ER), hospice/nursing facilities (H/NF), and at-home. Multivariable logistic regression models assessed demographic impact on stroke mortality by place-of-death, yielding odds ratios (OR) with significance threshold of p65 years were more likely to die in H/NF (OR 10.05, p

Circulation, Volume 150, Issue Suppl_1, Page A4145209-A4145209, November 12, 2024. Background:Acute decompensated heart failure accounts for an increasing proportion of hospitalizations in the United States and is linked to high readmission and 30-day mortality rates. Prior studies suggest up to 17% mortality rate within 30 days for patients admitted with heart failure.Research Questions/Hypothesis:We present an analysis characterizing patients who experienced mortality within 30 days of admission at a large safety net hospital following the COVID-19 pandemic.Methods/Approach:A retrospective review was conducted for all heart failure admissions of patients >18 years of age admitted to the coronary care unit (CCU) at Los Angeles General Medical Center from January to December 2021 after the peak of the COVID-19 pandemic. Demographics, insurance information, drug use, medication use, heart failure etiology, and CCU interventions were indexed. The primary outcome was all-cause mortality.Results/Data:172 patients were identified during the study period. 10% of patients died within 30 days of admission, of which 94% died during the same admission. Of patients who died during index admission, 88% had heart failure with reduced EF. None of these patients were on all four pillars of guideline-directed medical therapy (GDMT), with 33% on one or no GDMT medications.There was not a statistically significant difference in mortality rate when comparing those with active stimulant use 5/60 (8%) to those without active illicit drug use 12/112 (11%) (RR 0.79, 95% CI, p= 0.64).9/17 (53%) patients died of refractory cardiogenic shock, 5/17 (29%) were found in cardiopulmonary arrest of unknown etiology while undergoing treatment for acute decompensated heart failure. Two patients (12%) died of septic shock while 1/17 (5%) died of hemorrhagic shock related to chronic liver disease.Conclusion(s)The COVID-19 pandemic exacerbated significant healthcare inequalities, especially for urban underserved populations leading to late presentations of disease and worse outcomes, however, based on our data the overall inpatient mortality rate remained largely similar to pre-pandemic values.

Circulation, Volume 150, Issue Suppl_1, Page A4146592-A4146592, November 12, 2024. Introduction:Low physical activity (PA) has been identified as a risk factor for development of atrial fibrillation (AF). However, the effect of changes in PA on directly recorded AF burden has not been well studied. The COVID-19 pandemic offered an opportunity to observe whether changes in activity were correlated with changes in AF burden. To determine if reduced PA is associated with higher AF burden, we assessed daily PA and AF burden data from patients with cardiac implantable electronic devices (CIEDs) enrolled in a prospective clinical trial, Targeting Risk Interventions and Metformin for Atrial Fibrillation (TRIM-AF, NCT03603912).Methods:Daily AF burden and activity were determined from implantable cardiac devices with atrial leads. The pandemic lockdown period was analyzed for up to 1 year. Pre-pandemic periods were matched by month to pandemic periods. To test the potential confounding of aging, pre-pre-pandemic periods were matched by month to pre-pandemic periods. To reduce the confounding of study interventions, matched periods were taken on one side of the study enrollment date. For PA and AF burden, Gaussian linear mixed models and a Bayesian mixed effect model were fitted and adjusted for age, sex, and device manufacturers. A Gaussian model was used to correlate daily activity minutes and AF%. Time splines were added to adjust for non-linear time effects. Outcomes are reported as mean activity minutes and daily AF%.Results:Comparing Pandemic vs. Pre-periods (N=82 periods; 55 male, 27 female), daily activity minutes decreased by a mean of 13.16±1.06 minutes/day, and daily AF burden increased by 16% [5%-26%]. Comparing Pre vs. Pre-Pre-Pandemic periods (N=60 periods; 41 male, 19 female), mean activity decreased by 2.28±1.13 mins/day, and AF burden increased by 57% [50%-64%]. A significant negative correlation between activity and AF burden was demonstrated (coefficient -2.0, 95% CI -2.4, -1.6). A decrease in 2.0 activity minutes was associated with a 10% increase in AF burden.Conclusions:This natural history analysis of PA and AF burden demonstrated decreases in activity and increases in AF burden with time and the pandemic. Activity and AF burden were significantly negatively correlated.

Circulation, Volume 150, Issue Suppl_1, Page A4126987-A4126987, November 12, 2024. Background:COVID-19 infection has been associated with a broad range of clinical manifestations. There are very few reported cases of COVID-19 patients presenting with syncope as an initial symptom. We present an extraordinary case of recurrent neurocardiogenic syncope in a COVID-19 patient.Case:A 66-year-old male presented after experiencing two episodes of syncope. He denied any prodromal or anginal symptoms. His medications included propranolol 10 mg twice daily for essential tremors. He had no family history of unexplained syncope or sudden cardiac death. He was hemodynamically stable and had one episode of fever at 102°F. Telemetry recording showed vagal-mediated sinus arrest and pauses without escape. Blood work showed normal cell counts, electrolytes, thyroid-stimulating hormone, and erythrocyte sedimentation rate, with a slightly elevated C-reactive protein of 22.2 mg/L. He tested positive for COVID-19 and had negative Lyme and Ehrlichia serologies.Decision Making:Due to symptomatic long sinus pauses, propranolol was discontinued, and he received a temporary pacemaker set at 50 beats per minute (bpm). He had another syncopal episode while being paced at 50 bpm, suggesting a neurocardiogenic mechanism, so the pacing rate was increased to 70 bpm. An echocardiogram showed a normal ejection fraction without any significant valvular disease. The syncope was determined to be vasovagal due to autonomic dysfunction in the setting of COVID-19. After 72 hours without further syncope, the temporary pacemaker was removed, and he was discharged home with an implantable loop recorder (ILR). A one-month follow-up showed no syncope, and ILR interrogation showed no bradycardia or pauses.Conclusion:Neurocardiogenic syncope with prolonged asystole and sinus pauses is an uncommon presentation of COVID-19 infection. The clinical course of autonomic dysfunction following COVID-19 is not very clear, and monitoring with an ILR is reasonable before considering permanent pacemaker implantation.

Circulation, Volume 150, Issue Suppl_1, Page A4145096-A4145096, November 12, 2024. Introduction:Postural orthostatic tachycardia syndrome (POTS) and Inappropriate sinus tachycardia (IST) are common manifestations of cardiovascular dysautonomia (CVAD) in patients with post-COVID-19 syndrome. Studies regarding differences between post-COVID-19 POTS and post-COVID-19 IST have been sparse and based on small patient series.Aims:To examine clinical differences between POTS and IST in patients with post-COVID-19 syndrome.Methods:A cross-sectional observational study based on a dataset of patients diagnosed with post-COVID-19 syndrome and POTS/IST, at Karolinska University Hospital, Stockholm in 2020-2023, was performed. Data was retrieved using patients’ medical records. ANOVA, chi-square tests and Fisher’s exact tests were used for analysis.Results:A total of 200 patients diagnosed with post-COVID POTS/IST (ICD-10 codes, I.498 + U.099) were included (female, 85%) and divided into a POTS-group (n=110) and IST-group (n=90). Sixty-one patients (31%) met the diagnostic criteria of both and were included in the IST-group. The mean ages were 38 years for the POTS-group and 42 years for the IST-group (p=0.027). Hypertension was more common within the IST-group (p

Circulation, Volume 150, Issue Suppl_1, Page A4143985-A4143985, November 12, 2024. Introduction:Endothelial dysfunction can trigger the development and progression of cardiovascular disease. We hypothesize that cardiovascular PASC is induced by persistent endothelial dysfunction mediated via asymmetric-dimethylarginine (ADMA, the endogenous inhibitor of endothelial nitric oxide synthase). ADMA levels rise in response to viral infections, but it is usually degraded by the enzyme DDAH1, which is inhibited by chronic inflammation and oxidative stress. This study aims to determine whether cardiovascular PASC is associated with endothelial dysfunction and to clarify the role of ADMA in this relationship.Methods:We recruited subjects who had been previously infected and developed cardiovascular symptoms (PASC+), those who had been infected but did not have PASC (PASC-), and those who had never been infected (controls) (n=20 each). Groups were matched for age, sex, and BMI and underwent blood draws and fat biopsies. Vascular function was assessedin-vivovia ultrasound imaging andex-vivoin fat-isolated arterioles.Results:Compared to PASC- and controls, PASC+ subjects exhibited 80% higher serum levels of ADMA and 40% reduced nitric oxide levels. DDAH1 activity was elevated in the PASC+, suggesting a compensatory mechanism for the elevated ADMA levels. However, PASC+ obese subjects exhibited substantially lower DDAH1 activity than non-obese subjects, which was associated with lower insulin sensitivity and higher ADMA levels. Compared to the other two groups, the PASC+ group exhibited lower brachial artery vasoreactivity, while nitroglycerin-induced dilation did not differ statistically, suggesting impaired endothelial function. In the PASC+ group, microvascular recruitment in response to reactive hyperemia was diminished, as was the ex vivo measured flow-induced arteriolar dilation and NO generation. Left ventricle (LV) dysfunction was observed in 80% of the PASC+ group, as opposed to 5% of the PASC- and controls. The LV ejection fraction and global longitudinal strain (GLS) were substantially reduced in the PASC+ group, which was correlated with higher ADMA, C-reactive protein, and troponin-1, as well as lower NO and vascular function. Obese PASC+ subjects had the highest ADMA and the lowest endothelial-dependent vasodilation and insulin sensitivity.Conclusion:Cardiovascular PASC symptoms are related to persistent endothelial dysfunction and elevated ADMA levels, which may be further exacerbated by obesity and reduced DDAH1 activity.

Circulation, Volume 150, Issue Suppl_1, Page A4148010-A4148010, November 12, 2024. Background:Severe COVID-19 infection has been associated with acute respiratory distress syndrome (ARDS) and right ventricular (RV) dysfunction. In this study, we report associations between echocardiographic findings and laboratory markers that portend RV failure in patients with ARDS secondary to COVID-19 infection on ECMO.Methods:A single-center study was conducted in the cardiovascular ICU of our institute. A retrospective chart review was performed on 41 patients with COVID-19 on ECMO between March and October 2020. Twenty-two patients had transthoracic echocardiograms (TTE) completed while on ECMO (VV-ECMO = 19, VA-ECMO = 3). Echocardiograms (echo) were obtained pre-cannulation, during ECMO, and post-ECMO decannulation. RV parameters analyzed included tricuspid annular plane systolic excursion (TAPSE), basal diastolic RV diameter, right ventricular fractional area of change (RV FAC), and S’. Laboratory values including BNP, CRP, D-dimer, ferritin, fibrinogen, lactate and troponin were analyzed for correlation with echo findings.Results:TAPSE was significantly lower in deceased patients (1.9± 0.4cm vs 1.3±0.6 cm, P< 0.05). RV FAC and S’ were also lower in the deceased group. TAPSE while on ECMO showed a positive association with peak D-dimer levels in survivors and a negative association in deceased patients. Peri-ECMO fibrinogen and CRP levels were negatively associated with TAPSE in survivors while fibrinogen showed positive association in deceased patients. LDH peak, fibrinogen initial and lactate peak were higher in the deceased[ZQ1] group. There is a trend of increased RV basal diameter in the deceased group (3.9±0.9 vs 4.2±0.9 cm). Last troponin levels were negatively associated with basal diastolic RV diameter while on ECMO in deceased patients.Conclusion:Preservation of RV longitudinal contractility, as reflected by TAPSE, may play an important role in the survival of COVID-19 patients on ECMO. Laboratory markers such as LDH, D-dimer, fibrinogen and lactate may have prognostic value in predicting RV failure. Further studies are required to determine if early initiation of therapies to improve RV systolic function in COVID-19 ECMO patients with ARDS improves outcomes.

Circulation, Volume 150, Issue Suppl_1, Page A4137534-A4137534, November 12, 2024. Background/Aim:We previously reported that late gadolinium enhancement (LGE) on cardiac MRI (CMR) was as high as 82% in pediatric patients with COVID-19 vaccine-associated myocarditis (C-VAM) despite mild clinical symptoms and normal left ventricular function. As LGE can be a harbinger for future adverse events including arrhythmias, heart failure or sudden cardiac death, we sought to identify predictors for LGE in C-VAM, specifically assessing troponin as a screening marker for C-VAM patients at risk for myocardial scarring who could then be referred for a confirmatory CMR with LGE.Methods:In this longitudinal multicenter retrospective observational study across 38 U.S. member institutions of theMyocarditisAfterCOVIDVaccination (MACiV) study network, 333 patients with C-VAM based on CDC criteria were included from April 2021 to November 2022. Data collected included demographics, laboratory values, clinical and cardiac imaging characteristics and outcomes. Using logistic regression, troponin levels at presentation were assessed as a log transformed continuous variable and categorized into tertiles.Results:The C-VAM patients were predominantly white (67%) adolescent males (91%, 15.7± 2.8 years). There were 216/333 (65%) patients who had both a reported troponin value and had a CMR. On univariate analysis, elevated troponin increased the probability of having LGE (OR=1.29, 95% CI: 1.06, 1.58, p=0.012). Even after controlling for age, race, sex, number of vaccine doses and left ventricular ejection fraction (OR=1.32, 95% CI: 1.06, 1.65, p=0.013). Patients >15 years compared to those ≤15 years of age were 2.94 (95% CI: 1.28, 6.75, p=0.011) times more likely to have LGE at presentation. Patients with troponin levels in the highest tertile compared to lowest tertile were 2.66 times (95% CI: 1.04, 6.83, p=0.042) more likely to have LGE along with a greater involvement > 4 AHA myocardial segments with LGE (p=0.004)Conclusions:Higher troponin values are associated with presence of late gadolinium enhancement on cardiac MRI in patients with COVID-19 vaccine-associated myocarditis. Troponin levels at presentation may facilitate risk stratification and function as a screening tool to identify those C-VAM patients with the greatest likelihood of myocardial scarring, who may benefit from undergoing CMR for tissue characterization.

Circulation, Volume 150, Issue Suppl_1, Page A4143186-A4143186, November 12, 2024. Introduction:Statins are lipid-lowering agents with anti-inflammatory effects. Data surrounding the benefits of statins in patients with coronavirus disease 2019 (Covid-19) are conflicting. We sought to better understand the impact of statins in the context of Covid-19-related inflammation.Methods:We leveraged the International Study of Inflammation in Covid-19, a prospective multicenter cohort study of patients hospitalized specifically for Covid-19 between February 1, 2020 and October 30, 2022. Participants underwent systematic assessment of biomarkers of inflammation. We used logistic regression modeling and inverse probability-of-treatment weighting (IPTW) to examine the association between prior statin use and the composite outcome of in-hospital death, need for mechanical ventilation, and need for renal replacement therapy.Results:A total of 4,464 patients were included in the study, of whom 1,364 (27.5%) were taking a statin prior to admission. There were 1,061 primary outcome events, including 540 deaths, 854 mechanical ventilation and 313 renal replacement therapy. Amongst biomarkers of inflammation, statin use was associated solely with lower levels of soluble urokinase plasminogen activator receptor (suPAR) after adjusting for known confounders. In multivariable logistic regression analysis, statin use was associated with lower odds of the composite outcome (adjusted odds ratio (aOR) 0.63, 95%CI[0.53-0.76]) compared to patients not on statins. Findings were consistent with IPTW (aOR 0.92, 95%CI [0.89- 0.95]). The proportion of the effect of statin on the primary outcome mediated by suPAR was estimated at 31.5%.Conclusion:Prior statin use is associated with improved outcomes and lower inflammation as measured by suPAR levels in patients hospitalized for Covid-19.

Circulation, Volume 150, Issue Suppl_1, Page A4113573-A4113573, November 12, 2024. Introduction/Background:Cardiovascular and neurological diseases develop in a significant proportion of COVID-19 patients. Minimally invasive tools to predict outcome after SARS-CoV-2 infection would enable personalized healthcare, potentially easing the disease burden. We showed that blood levels of the long noncoding RNA lymphoid enhancer-binding factor-1 antisense 1 (LEF1-AS1) predict COVID-19 in-hospital mortality.Hypothesis:LEF1-AS1 is associated with long-term clinical outcomes of COVID-19.Aim:Test the capacity of LEF1-AS1 to predict neuro-cardio-vascular outcomes post-SARS-CoV-2 infection.Methods/Approach:We enrolled 104 primo-infected COVID-19 patients aged 18+ recruited from April to December 2020 in the PrediCOVID national cohort for which 12-month follow-up data were available (Ethics Committee approvals 202003/07 and 202310/02-SU-202003/07). Whole blood samples were collected at baseline and expression levels of LEF1-AS1 were assessed by quantitative PCR.Results/Data:Of the 104 patients, 35 had at least one neurological symptom and one cardiovascular symptom at month 12. Levels of LEF1-AS1 at baseline were lower (p=0.019) in patients who developed neurological and cardiovascular symptoms as compared to patients who did not. Lower LEF1-AS1 was associated with symptoms development with an odds ratio of 0.48 (95% CI 0.28-0.83) from logistic regression model adjusted for age, sex, comorbidities and disease severity at baseline. Addition of LEF1-AS1 to a clinical model including age, sex, comorbidities and baseline severity yielded an incremental predictive value as attested by an increased AUC from 0.79 to 0.83 (likelihood ratio test p=0.005), a net reclassification index of 0.54 (p=0.007) and an integrated discrimination improvement of 0.08 (p=0.009).Conclusion:Blood levels of LEF1-AS1 predict 12-month neurological and cardiovascular outcomes of COVID-19 patients. This needs to be validated in larger populations.