VENTRICULAR SEPTAL RUPTURE AFTER ACUTE MYOCARDIAL INFARCTION ASSOCIATED WITH COVID-19 (preprint)

The COVID-19 pandemic decreased the hospitalizations rate for acute coronary syndromes. The origin was multifactorial. In parallel, the incidence of mechanical complications after acute myocardial infarction increased. Is presented the case of a 54-years-olds female with COVID-19 and acute anterior myocardial infarction, apical aneurysm, and interventricular septal rupture. The surgical repair consisted of ventriculoplasty, septal rupture closure with a pericardial patch, and it was impossible to perform coronary revascularization.

Retrospective Study of Aging and Sex-Specific Risk Factors of COVID-19 with Hypertension in China.

Background: Coronavirus disease 2019 (COVID-19) has been a global threat that pushes healthcare to its limits. Hypertension is one of the most common risk factors for cardiovascular complications in COVID-19 and is strongly associated with disease severity and mortality. To date, clinical mechanisms by which hypertension leads to increased risk in COVID-19 are still unclear. Furthermore, additional factors might increase these risks, such as the consideration of age and sex, which are of interest when in search of personalized treatments for hypertensive COVID-19 patients. Methods: We conducted a retrospective cohort study of 543 COVID-19 patients in seven provinces of China to examine the epidemiological and clinical characteristics of COVID-19 in this population and to determine risk factors of hypertensive COVID-19 patients. We also used univariable and multivariable logistic regression methods to explore the risk factors associated with hypertensive COVID-19 patients in different age and sex subgroups. Results: Among the enrolled COVID-19 patients, the median age was 47 years (interquartile range (IQR) 34.0-57.0), and 99 patients (18.23%) were over 60 years old. With regard to comorbidities, 91 patients (16.75%) were diagnosed with hypertension, followed by diabetes, coronary disease, and cerebrovascular disease. Of the hypertensive COVID-19 patients, 51 (56.04%) were male. Multivariable analysis showed that old age, comorbid diabetes or coronary heart disease on admission, increased D-dimer, increased glucose, and decreased lymphocyte count were independent risk factors associated with hypertensive COVID-19 patients. Elevated total bilirubin (odds ratio [OR]: 1.014, 95% confidence interval [CI]: 0.23-1.05; p = 0.043) and triglycerides (OR: 1.173, 95% CI: 0.049-1.617; p = 0.007) were found to be associated with elderly hypertensive COVID-19 patients. In addition, we found that decreased lymphocytes, basophil, high-density lipoprotein, and increased fibrinogen and creatinine were related to a higher risk of disease severity in male patients. The most common abnormal clinical findings pertaining to female hypertensive COVID-19 patients were hemoglobin, total bile acid, total protein, and low-density lipoprotein. Conclusions: Factors associated with increased risk of hypertensive COVID-19 patients were identified. Results to the different age and sex subgroups in our study will allow for better possible personalized care and also provide new insights into specific risk stratification, disease management, and treatment strategies for COVID-19 patients with hypertension in the future.

Association between COVID-19 and incidence of CVD and all-cause mortality among patients with diabetes (preprint)

Background Although the risk of coronavirus disease 2019 (COVID-19) infection is higher in patients who are diagnosed with diabetes than in those who are not, research on the risk of cardiovascular disease (CVD) in COVID-19 infected patients diagnosed with diabetes compared to those who are not infected by COVID-19 is lacking. This study aimed to examine the association between COVID-19, incidence of CVD, and all-cause mortality in patients with diabetes.Methods This study used data from the Health Insurance Review and Assessment, and included 16,779 patients with COVID-19 and 16,779 matched controls between January 2017 and June 2021. The outcomes included cardiovascular disease (CVD), coronary heart disease, stroke, and all-cause mortality. Cox proportional hazards regression models were used to evaluate these associations.Results Patients with diabetes hospitalised because of COVID-19 had a significantly increased risk of CVD (adjusted hazard ratio [AHR], 2.12; 95% confidence interval [CI]: 1.97, 2.27) than those without COVID-19. The risks of coronary heart disease (AHR, 2.00; 95% CI: 1.85, 2.17) and stroke (AHR, 2.21; 95% CI: 1.90, 2.57) were higher in the intervention group than in the control group. In the case of all-cause mortality for middle-aged adults, we observed a higher risk in diabetes patients hospitalised due to COVID-19 than in patients without COVID-19 (AHR, 1.37; 95% CI: 1.18, 1.59).Conclusions This study showed that patients with diabetes hospitalised due to COVID-19 had an increased risk of CVD, coronary heart disease, stroke incidence, and mortality than those who were not COVID-19 infected, suggesting more careful prevention and management among patients with COVID-19.Trial registration: Institutional Review Board of Health Insurance Review and Assessment (2023-018-001).

Exercise modulation in inflammation and metabolic hormonal disorders of COVID-19 to decrease risk factors in coronary heart disease.

OBJECTIVES: Sedentary life style separated during COVID-19 pandemic. Patients with cardiovascular diseases (CVD) are vulnerable with sedentary life style. Therefore, the aim of this study was to investigate the effect of 8 weeks of combined and high intensity interval training (HIIT) on C Reactive protein, galectin-3, leptin, fibrinogen and insulin resistance index in coronary heart disease after COVID-19. METHODS: Thirty-six cardiovascular patients (55.14 ± 1.4 years, 78.6 ± 5.1 kg) were divided into three groups of combined exercise (n=13), HIIT (n=12) and control group (n=11). Combined exercise consisted of aerobic (4 weeks) and aerobic + HIIT exercise (4 weeks), three sessions per weeks. The protocol of the HIIT group included performing high intensity interval training, three sessions per weeks for 8 weeks. Blood samples were taken 24 h before the first training session and 48 h after the last training. C Reactive protein (CRP), galectin-3, leptin, fibrinogen measured with ELISA kit. RESULTS: CRP, galectin-3 and fibrinogen decreased significantly after 8 weeks of combined training and HIIT (compare to pre-test). Also, insulin resistance index after 8 weeks of combined exercise showed a significant decrease compare to pre-test (p<0.05). After 8 weeks, CRP, galectin-3 and insulin resistance significantly decreased compare to control group (p<0.05). CONCLUSIONS: In the patient with CVD, combined exercise training may be more effective than HIIT in reducing metabolic and heart risk factors after an epidemic such as COVID-19. However, change of leptin need to more studies.

ANALYSIS OF CLINICAL AND FUNCTIONAL INDICES OF CARDIOVASCULAR SYSTEM IN POST-COVID-19 EMERGENCY WORKERS OF THE CHORNOBYL ACCIDENT. / ANALIZ KLINIKO/FUNKTsIONAL'NYKh POKAZNYKIV SERTsEVO-SUDYNNOÏ SYSTEMY V UChASNYKIV LIKVIDATsIÏ NASLIDKIV ChORNOBYL'S'KOÏ AVARIÏ PISLIa PERENESENOGO COVID-19.

OBJECTIVE: to determine which changes of cardiovascular system clinical, and structural, and functional state in emergency workers (EW) of the accident at the Chornobyl nuclear power plant (CNNP) can be associated with COVID-19 they suffered from and not with the natural progression of coronary heart disease (CHD). MATERIALS AND METHODS: The study included 16 male EW who fell ill with mild and medium-severe COVID-19 (EWC group) in 2020-2021, which was confirmed by a PCR test (polymerase chain reaction). All these patients were observed in the NRCRM cardiology department before infection with the coronavirus. The comparison group consisted of 32 EW who did not suffer from COVID-19 and their age and examination dates corresponded to EWC. General clinical, laboratory, statistical methods and Doppler echocardiography were used for patients examination. RESULTS: In the post-covid period, EW-C observed a worsening of CHD clinical course, which consisted in an increase in the number of patients with severe functional class angina pectoris, with ventricular and supraventricular extrasystoles, as well as with more severe heart failure (HF). Since similar changes in the state of the cardiovascular system were found among EW who did not suffer from COVID-19, they can be attributed to the natural progression of CHD. In the EW-C group, there was an increase in the number of patients with atrial fibrillation (AF) by 4 times (up 37.5 %), while in the comparison group EW only by 1.1 times (up 3.1 %). The progression of CHD and HF in the examined patients was accompanied by an increase in the end-diastolic and end-systolic volumes of the left ventricle and the mass of the myocardium, the severity of which was not significantly different in patients with and without COVID-19. The number of post-covid patients with reduced ejection fraction (EF) during examination after COVID-19 increased by 31.3 %, and in the group of EW, which were examined at the same time, by 6.32 %. CONCLUSIONS: A significant increase in the number of patients with AF and a reduced EF in the EW-C compared with the EW can be attributed to the results of the SARS-CoV-2 virus influence on cardiovascular system.

Long-term cardiac symptoms following COVID-19: a systematic review and meta-analysis (preprint)

Background There is growing body of literature on the long-term cardiac symptoms following COVID-19. We conducted a systematic review and meta analysis to synthesize and evaluate related evidence to inform clinical management and future studies. Methods We searched two preprint and seven peer reviewed article databases from January 1, 2020 to January 8, 2022 for studies investigating cardiac symptoms that persisted for at least 4 weeks among individuals who survived COVID-19. A customized Newcastle Ottawa scale was used to evaluate the quality of included studies. Random effects meta analyses were performed to estimate the proportion of symptoms with 95% confidence intervals (CI), and stratified analyses were conducted to quantify the proportion of symptoms by study characteristics and quality. Results A total of 101 studies describing 49 unique long-term cardiac symptoms met the inclusion criteria. Based on quality assessment, only 15.8% of the studies (n=16) were of high quality, and most studies scored poorly on sampling representativeness. The two most examined symptoms were chest pain and arrhythmia. Meta-analysis showed that the proportion of chest pain was 10.1% (95% CI: 6.4, 15.5) and arrhythmia was 9.8% (95% CI: 5.4, 17.2). Stratified analyses showed that studies with low-quality score, small sample size, unsystematic sampling method, and cross-sectional design were most likely to report high proportions of symptoms. For example, the proportion of chest pain was 21.3% (95% CI: 10.5, 38.5), 9.3% (95% CI: 6.0, 14.0), and 4.0% (95% CI: 1.3, 12.0) in studies with low, medium, and high-quality scores, respectively. Similar patterns were observed for other cardiac symptoms including hypertension, cardiac abnormalities, myocardial injury, thromboembolism, stroke, heart failure, coronary disease, and myocarditis. Discussion There is a wide spectrum of long-term cardiac symptoms following COVID-19. Findings of existing studies are strongly related to study quality, size and design, underscoring the need for high-quality epidemiologic studies to characterize these symptoms and understand their etiology.

[The OIBOH Registry (Optimal Intensification therapy in a Broad Observed High risk patient population with coronary disease): an Italian observational study of secondary prevention after a coronary event during the pandemic COVID-19 outbreak]. / Il registro OIBOH (Optimal Intensification therapy in a Broad Observed High risk patient population with coronary disease): studio italiano osservazionale di prevenzione secondaria dopo evento coronarico durante la pandemia COVID-19.

Razionale. In Italia la pandemia COVID-19 ha determinato importanti riorganizzazioni logistiche nell'erogazione delle cure ospedaliere e di specialistica ambulatoriale. Ciò ha spinto clinici e decisori pubblico-amministrativi della Sanità ad adottare nuovi modelli organizzativi in molteplici scenari clinici. Materiali e metodi. Il registro OIBOH (Optimal Intensification therapy in a Broad Observed High risk patient population with coronary disease) è uno studio osservazionale "cross-sectional" condotto in vari centri italiani di cardiologia ambulatoriale per valutare durante la pandemia COVID-19 la capacità di identificare in breve tempo i pazienti ad altissimo rischio cardiovascolare residuo dopo un evento coronarico recente (<12 mesi). Successivamente alla valutazione clinica iniziale, venivano arruolati i pazienti ritenuti ad altissimo rischio, registrando le caratteristiche cliniche e di trattamento in una scheda di raccolta dati elettronica.Risultati. Al registro hanno partecipato 134 centri di cardiologia ambulatoriale che hanno arruolato 1428 pazienti su 3227 esaminati fra quelli che avevano avuto accesso ad una visita cardiologica durante la pandemia nel periodo ottobre 2020-marzo 2021. Il criterio di arruolamento era costituito dall'aver avuto una diagnosi di coronaropatia confermata angiograficamente negli ultimi 12 mesi, per sindrome coronarica acuta (SCA) o cronica (SCC). La SCA come evento indice era presente nel 93% dei pazienti arruolati mentre la SCC nel 7%. L'età media era 67 ± 10 anni, il 25% era di sesso femminile. Il 96.1% dei pazienti con SCA e il 67.6% dei pazienti con SCC sono stati sottoposti a rivascolarizzazione coronarica. Il 46% e 47% dei pazienti con SCA e SCC, rispettivamente, era diabetico. Oltre il 65% dei pazienti presentava una malattia coronarica multivasale. È stata osservata una importante prevalenza di arteriopatia periferica (17.5% nei pazienti con SCA e 19.6% nei pazienti con SCC). I valori di pressione arteriosa e frequenza cardiaca risultavano ben controllati (128 ± 25.2 mmHg e 65 ± 12.3 b/min nei pazienti con SCA; 127 ± 23.4 mmHg e 67 ± 13.2 b/min nei pazienti con SCC). Viceversa, è stato riportato uno scarso controllo dei livelli di colesterolemia LDL, con un valore medio di 88.8 ± 38.6 mg/dl nei pazienti con SCA e 86 ± 36.6 mg/dl nei pazienti con SCC. Solo il 16.4% dei pazienti con SCA raggiungeva i livelli raccomandati dalle attuali linee guida europee. Nonostante l'estensivo uso di statine (>90%), si è rilevato un utilizzo limitato dell'associazione statina ad alta intensità + ezetimibe (solo il 22.4% dei pazienti). Estremamente basso è stato l'utilizzo di inibitori di PCSK9 (2.5%). La duplice terapia antiaggregante piastrinica (DAPT) è risultata complessivamente ben condotta fin dalla dimissione ospedaliera. Nei pazienti in DAPT, l'inibitore P2Y12 più utilizzato è risultato il ticagrelor alla dose di 90 mg, soprattutto dopo un evento coronarico acuto (in circa l'80% dei pazienti con SCA). Nella stragrande maggioranza dei casi (>90%) i cardiologi ambulatoriali hanno posto indicazione a prosecuzione della DAPT oltre i 12 mesi con aspirina e ticagrelor 60 mg bid. Conclusioni. La gestione del paziente con coronaropatia in fase cronica stabilizzata è molto complessa. Tale complessità logistico-gestionale si è accentuata durante la pandemia COVID-19. Il registro OIBOH ha evidenziato un'ottima capacità di identificare le problematiche clinico-prognostiche delle cardiologie ambulatoriali italiane, specie nei pazienti ad altissimo rischio residuo. Rimangono importanti aree di miglioramento come uno stretto controllo della colesterolemia LDL, mentre altre raccomandazioni delle linee guida, come la prosecuzione della DAPT con ticagrelor 60 mg oltre i 12 mesi, risultano ben applicate. L'implementazione dell'assistenza con la medicina digitale e l'intelligenza artificiale potrebbe migliorare di molto la performance dei clinici.

Safety and efficacy of percutaneous coronary intervention combined with catheter ablation in a single procedure for patients with coronary artery disease complicated with atrial fibrillation (preprint)

Background Coronary artery disease (CAD) always co-exists with atrial fibrillation (AF). A new delivery of cardiac interventions for patients is needed during or even after the 2019 coronavirus disease (COVID-19) pandemic. This study aimed to evaluate the safety and efficacy of percutaneous coronary interventions (PCI) combined with AF catheter ablation (AFCA) in a single procedure for patients with CAD and AF.Methods From Jan 2020 to Jun 2021, 40 consecutive patients who underwent both PCI and AFCA were retrospectively enrolled for this study. All patients were followed up 1, 3, 6, and 12 months after the procedure. The primary safety outcomes included cardiac tamponade, cerebrovascular accident/stroke, transient ischemic attack (TIA), thromboembolism, myocardial infarction, vascular access site complications, and bleeding. The primary efficacy outcomes included 12-month AF recurrence and in-stent restenosis (ISR).Results Six adverse events were reported, including small hematoma at the groin access site in two cases, minor bleeding in three cases, and stroke not related to the procedure in one case. No ISR was reported. The Kaplan-Meier analysis estimated that the AF-free success rate at 12 months was 95.7% in paroxysmal atrial fibrillation (PAF) patients and 64.7% in those with persistent atrial fibrillation (PsAF).Conclusions The combination of PCI and AFCA in one procedure was feasible, safe, and efficacious in patients with CAD and AF. The combined procedure can be recommended in clinical practice, during or even after the COVID-19 era.

Is replacing red meat with other protein sources associated with lower risks of coronary heart disease and all-cause mortality? A meta-analysis of prospective studies.

CONTEXT: A high amount of red meat consumption has been associated with higher risks of coronary heart disease (CHD) and all-cause mortality in a single food-exposure model. However, this model may overlook the potentially differential influence of red meat on these outcomes depending on the foods replaced by red meat. OBJECTIVE: A PRISMA-compliant meta-analysis of prospective observational studies was performed to quantify the risks of CHD and all-cause mortality associated with the replacement of total, unprocessed, or processed red meat with fish/seafood, poultry, dairy, eggs, nuts, and legumes. DATA SOURCES: The PubMed and Web of Science databases were searched to identify relevant articles published in any language from database inception to October 30, 2021. DATA EXTRACTION: The prospective observational studies were considered relevant if they reported relative risks (RRs) and 95%CIs for the associations of interest. DATA ANALYSIS: Thirteen articles were included. A random-effects model was used to estimate the summary RRs and 95%CIs for the associations of interest. Replacing total red meat with poultry (RR, 0.88, 95%CI, 0.82-0.96; I2 = 0%), dairy (RR, 0.90, 95%CI, 0.88-0.92; I2 = 0%), eggs (RR, 0.86, 95%CI, 0.79-0.94; I2 = 7.1%), nuts (RR, 0.84, 95%CI, 0.74-0.95; I2 = 66.8%), or legumes (RR, 0.84, 95%CI, 0.74-0.95; I2 = 7.3%) was associated with a lower risk of CHD, whereas substituting fish/seafood (RR, 0.91, 95%CI, 0.79-1.04; I2 = 69.5%) for total red meat was not associated with the risk of CHD. The replacement of total red meat with fish/seafood (RR, 0.92, 95%CI, 0.89-0.96; I2 = 86.9%), poultry (RR, 0.92, 95%CI, 0.90-0.95; I2 = 61.6%), eggs (RR, 0.91, 95%CI, 0.87-0.95; I2 = 33.8%), or nuts (RR, 0.92, 95%CI, 0.87-0.97; I2 = 81.9%) was associated with a lower risk of all-cause mortality, whereas the substitution of dairy (RR, 0.97, 95%CI, 0.93-1.01; I2 = 33.9%) or legumes (RR, 0.97, 95%CI, 0.93-1.01; I2 = 53.5%) for total red meat was not associated with the risk of all-cause mortality. Lower risks of CHD and all-cause mortality were more consistently observed for processed red meat replacements than for unprocessed red meat replacements. The results did not materially change when the analyses of total, processed, and unprocessed red meat were restricted to the studies that used a uniform substitution amount per unit of 1 serving/d. CONCLUSION: Keeping red meat, particularly processed red meat, consumption to a minimum along with increasing healthier alternative protein sources to replace red meat in the diet may contribute to the prevention of CHD and premature death. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42021259446.

Design and Analysis of Outcomes following SARS-CoV-2 Infection in Veterans (preprint)

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackgroundC_ST_ABSUnderstanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population. MethodsIn a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes. ResultsFrom an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 38 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%). ConclusionsThis successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

QCovid 4 - Predicting risk of death or hospitalisation from COVID-19 in adults testing positive for SARS-CoV-2 infection during the Omicron wave in England (preprint)

To (a) derive and validate risk prediction algorithms (QCovid4) to estimate risk of COVID-19 mortality and hospitalisation in UK adults with a SARS-CoV-2 positive test during the Omicron pandemic wave and (b) evaluate performance with earlier versions of algorithms developed in previous pandemic waves and the high-risk cohort identified by NHS Digital in England. Design Population-based cohort study using the QResearch database linked to national data on COVID-19 vaccination, high risk patients prioritised for COVID-19 therapeutics, SARS-CoV-2 results, hospitalisation, cancer registry, systemic anticancer treatment, radiotherapy and the national death registry. Settings and study period 1.3 million adults in the derivation cohort and 0.15 million adults in the validation cohort aged 18-100 years with a SARS-CoV-2 positive test between 11th December 2021 and 31st March 2022 with follow up to 30th June 2022. Main outcome measures Our primary outcome was COVID-19 death. The secondary outcome of interest was COVID-19 hospital admission. Models fitted in the derivation cohort to derive risk equations using a range of predictor variables. Performance evaluated in a separate validation cohort. Results Of 1,297,984 people with a SARS-CoV-2 positive test in the derivation cohort, 18,756 (1.45%) had a COVID-19 related hospital admission and 3,878 (0.3%) had a COVID-19 death during follow-up. Of the 145,404 people in the validation cohort, there were 2,124 (1.46%) COVID-19 admissions and 461 (0.3%) COVID-19 deaths. The COVID-19 mortality rate in men increased with age and deprivation. In the QCovid4 model in men hazard ratios were highest for those with the following conditions- kidney transplant (6.1-fold increase), Downs syndrome (4.9-fold); radiotherapy (3.1-fold); type 1 diabetes (3.4-fold), chemotherapy grade A (3.8-fold), grade B (5.8-fold), grade C (10.9-fold), solid organ transplant ever (2.4-fold), dementia (1.62-fold), Parkinsons disease (2.2-fold), liver cirrhosis (2.5-fold). Other conditions associated with increased COVID-19 mortality included learning disability, chronic kidney disease (stages 4 and 5), blood cancer, respiratory cancer, immunosuppressants, oral steroids, COPD, coronary heart disease, stroke, atrial fibrillation, heart failure, thromboembolism, rheumatoid or SLE, schizophrenia or bipolar disease sickle cell or HIV or SCID, type 2 diabetes. Results were similar in the model in women. COVID-19 mortality risk was lower among those who had received COVID-19 vaccination compared with unvaccinated individuals with evidence of a dose response relationship. The reduced mortality rates associated with prior SARS-CoV-2 infection were similar in men (adjusted hazard ratio (HR) 0.51 (95% CI 0.40, 0.64)) and women (adjusted HR 0.55 (95%CI 0.45, 0.67)). The QCOVID4 algorithm explained 76.6% (95%CI 74.4 to 78.8) of the variation in time to COVID-19 death (R2) in women. The D statistic was 3.70 (95%CI 3.48 to 3.93) and the Harrells C statistic was 0.965 (95%CI 0.951 to 0.978). The corresponding results for COVID-19 death in men were similar with R2 76.0% (95% 73.9 to 78.2); D statistic 3.65 (95%CI 3.43 to 3.86) and C statistic of 0.970 (95%CI 0.962 to 0.979). QCOVID4 discrimination for mortality was slightly higher than that for QCOVID1 and QCOVID2, but calibration was much improved. Conclusion The QCovid4 risk algorithm modelled from data during the UK Omicron wave now includes vaccination dose and prior SARS-CoV-2 infection and predicts COVID-19 mortality among people with a positive test. It has excellent performance and could be used for targeting COVID-19 vaccination and therapeutics. Although large disparities in risks of severe COVID-19 outcomes among ethnic minority groups were observed during the early waves of the pandemic, these are much reduced now with no increased risk of mortality by ethnic group.

Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex. METHODS: A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in "Open Grey" website. The two major criteria used were "adults" and "carotid intima media". The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; http://www.covidence.org) was used to manage the study selection process. Meta-analyses were done using the random-effects model. An I2 ≥ 50% or p< 0:05 were considered to indicate significant heterogeneity. RESULTS: Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62-0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs. CONCLUSIONS: CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.

Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways (preprint)

Identification of the plasma proteomic changes of Coronavirus disease 2019 (COVID-19) is essential to understanding the pathophysiology of the disease and developing predictive models and novel therapeutics. We performed plasma deep proteomic profiling from 332 COVID-19 patients and 150 controls and pursued replication in an independent cohort (297 cases and 76 controls) to find potential biomarkers and causal proteins for three COVID-19 outcomes (infection, ventilation, and death). We identified and replicated 1,449 proteins associated with any of the three outcomes (841 for infection, 833 for ventilation, and 253 for death) that can be query on a web portal (https://covid.proteomics.wustl.edu/). Using those proteins and machine learning approached we created and validated specific prediction models for ventilation (AUC>0.91), death (AUC>0.95) and either outcome (AUC>0.80). These proteins were also enriched in specific biological processes, including immune and cytokine signaling (FDR < 3.72x10-14), Alzheimer's disease (FDR < 5.46x10-10) and coronary artery disease (FDR < 4.64x10-2). Mendelian randomization using pQTL as instrumental variants nominated BCAT2 and GOLM1 as a causal proteins for COVID-19. Causal gene network analyses identified 141 highly connected key proteins, of which 35 have known drug targets with FDA-approved compounds. Our findings provide distinctive prognostic biomarkers for two severe COVID-19 outcomes (ventilation and death), reveal their relationship to Alzheimer's disease and coronary artery disease, and identify potential therapeutic targets for COVID-19 outcomes.

Hospitalisation rate and mortality among people with and without diabetes during the COVID-19 pandemic year 2020.

Most studies reported reduced health care use among people with diabetes during the COVID-19 pandemic. This may be due to restricted medical services or people avoiding health care services because they fear being infected with COVID-19 in health care facilities. The aim of our study was to analyse hospitalisation and mortality in people with and without diabetes in Germany during the COVID-19 pandemic year 2020 compared to 2017-2019. The data were sourced from a German statutory health insurance company covering 3.2 million people. We estimated age-sex standardised rates of mortality, all-cause hospitalisation, hospitalisation due to coronary heart disease (CHD), acute myocardial infarction (AMI), stroke, diabetic foot syndrome (DFS), and major and minor amputations in people with and without diabetes. We predicted rates for 2020 using Poisson regression based on results from 2017-2019 and compared these with the observed rates.In people with diabetes, the hospitalisation rate for major amputation was significantly increased, while all-cause hospitalisation rate and hospitalisation due to CHD, AMI and DFS were significantly decreased compared to the previous period. Moreover, we found a significantly increased mortality and hospitalisation rate for minor amputation in people without diabetes while all-cause hospitalisation and hospitalisation due to CHD and AMI was significantly lower during the COVID-19 pandemic year 2020.We observed changes in health care utilisation and outcomes during the COVID-19 pandemic compared to previous years in people with and without diabetes. Concerning diabetes care, the increase of hospitalisations due to amputation in people with diabetes with a simultaneous reduction in DFS needs special attention.

Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40 and Beyond.

More than 40 years after the 1978 Bethesda Conference on the Declining Mortality from Coronary Heart Disease provided the scientific community with a blueprint for systematic analysis to understand declining rates of coronary heart disease, there are indications the decline has ended or even reversed despite advances in our knowledge about the condition and treatment. Recent data show a more complex situation, with mortality rates for overall cardiovascular disease, including coronary heart disease and stroke, decelerating, whereas those for heart failure are increasing. To mark the 40th anniversary of the Bethesda Conference, the National Heart, Lung, and Blood Institute and the American Heart Association cosponsored the "Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40" symposium. The objective was to examine the immediate and long-term outcomes of the 1978 conference and understand the current environment. Symposium themes included trends and future projections in cardiovascular disease (in the United States and internationally), the evolving obesity and diabetes epidemics, and harnessing emerging and innovative opportunities to preserve and promote cardiovascular health and prevent cardiovascular disease. In addition, participant-led discussion explored the challenges and barriers in promoting cardiovascular health across the lifespan and established a potential framework for observational research and interventions that would begin in early childhood (or ideally in utero). This report summarizes the relevant research, policy, and practice opportunities discussed at the symposium.

Data-driven quality improvement program to prevent hospitalisation and improve care of people living with coronary heart disease: Protocol for a process evaluation.

BACKGROUND: Practice-level quality improvement initiatives using rapidly advancing technology offers a multidimensional approach to reduce cardiovascular disease burden. For the "QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with heart disease" (QUEL) cluster randomised controlled trial, a 12-month quality improvement intervention was designed for primary care practices to use data and implement progressive changes using "Plan, Do, Study, Act" cycles within their practices with training in a series of interactive workshops. This protocol aims to describe the systematic methods to conduct a process evaluation of the data-driven intervention within the QUEL study. METHODS: A mixed-method approach will be used to conduct the evaluation. Quantitative data collected throughout the intervention period, via surveys and intervention materials, will be used to (1) identify the key elements of the intervention and how, for whom and in what context it was effective; (2) determine if the intervention is delivered as intended; and (3) describe practice engagement, commitment and capacity associated with various intervention components. Qualitative data, collected via semi-structured interviews and open-ended questions, will be used to gather in-depth understanding of the (1) satisfaction, utility, barriers and enablers; (2) acceptability, uptake and feasibility, and (3) effect of the COVID-19 pandemic on the implementation of the intervention. CONCLUSION: Findings from the evaluation will provide new knowledge on the implementation of a complex, multi-component intervention at practice-level using their own electronic patient data to enhance secondary prevention of cardiovascular disease. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134.

Immunogenicity and safety of the CoronaVac inactivated SARS-CoV-2 vaccine in people with underlying medical conditions: a retrospective study (preprint)

Background: People living with chronic disease, particularly seniors older than 60 years old, are lagging behind in the national vaccination campaign in China due to uncertainty of safety and effectiveness. However, this special population made up of most severe symptom and death cases among infected patients and should be prioritized in vaccination program. In this retrospective study, we assessed the safety and immunogenicity of the CoronaVac inactivated vaccines in people with underlying medical conditions to address the vaccine hesitation in this special population. Methods: In this cohort study, volunteers aged 40 years and older, had received two doses of CoronaVac inactivated vaccines (3-5 weeks interval), been healthy or with at least one of the six diseases: coronary heart disease (CAD), hypertension, diabetes mellitus (DM), chronic respiratory disease (CRD), obesity and cancer, were recruited from 4 study sites in China. The primary safety outcome was the incidence of adverse events within 14 days after each dose of vaccination. The primary immunogenic outcome was geometric mean titer (GMT) of neutralizing antibodies to living SARS-CoV-2 virus at 14-28 days, 3 months, and 6 months after full two-dose vaccination. This study is registered with ChiCTR.org.cn (ChiCTR2200058281) and is active but no longer recruiting. Findings: Among 1,302 volunteers screened between Jul 5 and Dec 30, 2021, 969 were eligible and enrolled in our cohort, including 740 living with underlying medical conditions and 229 as healthy control. All of them formed the safety cohort. The overall incidence of adverse reactions was 150 (20.27%) of 740 in the comorbidities group versus 32 (13.97%) of 229 in the healthy group, with significant difference (P=0.0334). The difference was mainly contributed by fatigue and injection-site pain in some groups. Most adverse reactions were mild (Grade 1). We did not observe any serious adverse events related to vaccination. By day 14-28 post vaccination, the seroconversion rates and GMT of neutralizing antibody showed no significant difference between disease group and healthy group, except CAD group (P=0.03) and CRD group (P=0.04) showed slight reduction. By day 90, the neutralizing antibody GMTs were significantly reduced in each group, with no significant difference between diseases and healthy group. By day 180, the neutralizing antibody continued to decrease in each group, but with slower declination. Interpretation: For people living with chronic disease especially seniors older than 60 years, the CoronaVac vaccines are as safe as in healthy people. Although the immunogenicity is slightly different in subgroup of some diseases compared with that of the healthy population, the overall trend was consistent. Our findings highlight the evidence to address vaccine hesitancy for seniors and people living with chronic diseases. Funding: Yunnan Provincial Science and Technology Department (202102AA100051 and 202003AC100010, China), Sinovac Biotech Ltd (PRO-nCOV-4004).

[ACTIV SARS-CoV-2 registry (Analysis of Chronic Non-infectious Diseases Dynamics After COVID-19 Infection in Adult Patients). Assessment of impact of combined original comorbid diseases in patients with COVID-19 on the prognosis].

AIM: Study the impact of various combinations of comorbid original diseases in patients infected with COVID-19 later on the disease progression and outcomes of the new coronavirus infection. MATERIALS AND METHODS: The ACTIV registry was created on the Eurasian Association of Therapists initiative. 5,808 patients have been included in the registry: men and women with COVID-19 treated at hospital or at home. CLINICALTRIALS: gov ID NCT04492384. RESULTS: Most patients with COVID-19 have original comorbid diseases (oCDs). Polymorbidity assessed by way of simple counting of oCDs is an independent factor in negative outcomes of COVID-19. Search for most frequent combinations of 2, 3 and 4 oCDs has revealed absolute domination of cardiovascular diseases (all possible variants). The most unfavorable combination of 2 oCDs includes atrial hypertension (AH) and chronic heart failure (CHF). The most unfavorable combination of 3 oCDs includes AH, coronary heart disease (CHD) and CHF; the worst combination of 4 oCDs includes AH, CHD, CHF and diabetes mellitus. Such combinations increased the risk of lethal outcomes 3.963, 4.082 and 4.215 times respectively. CONCLUSION: Polymorbidity determined by way of simple counting of diseases may be estimated as a factor in the lethal outcome risk in the acute phase of COVID-19 in real practice. Most frequent combinations of 2, 3 and 4 diseases in patients with COVID-19 primarily include cardiovascular diseases (AH, CHD and CHF), diabetes mellitus and obesity. Combinations of such diseases increase the COVID-19 lethal outcome risk.

Assessment of cardiovascular & pulmonary pathobiology in vivo during acute COVID-19 (preprint)

Importance: Acute COVID19 related myocardial, pulmonary and vascular pathology, and how these relate to each other, remains unclear. No studies have used complementary imaging techniques, including molecular imaging, to elucidate this. Objective: We used multimodality imaging and biochemical sampling in vivo to identify the pathobiology of acute COVID19. Design, Setting and Participants: Consecutive patients presenting with acute COVID19 were recruited during hospital admission in a prospective cross sectional study. Imaging involved computed tomography coronary angiography (CTCA - identified coronary disease), cardiac 2deoxy2[fluorine18]fluoroDglucose positron emission tomography/computed tomography (18F FDG PET/CT identified vascular, cardiac and pulmonary inflammatory cell infiltration) and cardiac magnetic resonance (CMR identified myocardial disease), alongside biomarker sampling. Results: Of 33 patients (median age 51 years, 94% male), 24 (73%) had respiratory symptoms, with the remainder having non-specific viral symptoms. Nine patients (35%, n=9/25) had CMR defined myocarditis. 53% (n=5/8) of these patients had myocardial inflammatory cell infiltration. Two patients (5%) had elevated troponin levels. Cardiac troponin concentrations were not significantly higher in patients with myocarditis (8.4ng/L [IQR 4.0, 55.3] vs 3.5ng/L [2.5, 5.5], p=0.07) or myocardial cell infiltration (4.4ng/L [3.4, 8.3] vs 3.5ng/L [2.8, 7.2], p=0.89). No patients had obstructive coronary artery disease or vasculitis. Pulmonary inflammation and consolidation (percentage of total lung volume) was 17% (IQR 5, 31%) and 11% (7, 18%) respectively. Neither were associated with presence of myocarditis. Conclusions and relevance: Myocarditis was present in a third patients with acute COVID-19, and the majority had inflammatory cell infiltration. Pneumonitis was ubiquitous, but this inflammation was not associated with myocarditis. The mechanism of cardiac pathology is non-ischaemic, and not due to a vasculitic process.

Association of Periodic Fasting with Lower Severity of COVID-19 Outcomes in the SARS-CoV-2 Pre-Vaccine Era: An Observational Cohort from the INSPIRE Registry (preprint)

Objectives: Intermittent fasting boosts some mechanisms of host defense against infection while modulating the inflammatory response. Lower-frequency periodic fasting is associated with greater survival and lower risk of comorbidities that exacerbate COVID-19. This study evaluated the association of periodic fasting with COVID-19 severity and, secondarily, initial diagnosis of infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Design: Prospective longitudinal observational cohort study. Setting: Single-center secondary care facility in Salt Lake City, Utah, USA with follow-up across a 24-hospital integrated healthcare system. Participants: Patients enrolled in the INSPIRE registry in 2013-2020 were studied if they had SARS-CoV-2 testing in March 2020-February 2021 and either tested positive (N=205) for the primary outcome evaluation or had a positive or negative test result for evaluation of the secondary outcome (n=1,524). Interventions: No treatment assignments were made; individuals provided information about their personal practice and history of engaging in routine periodic fasting across their lifespan. Main outcome measures: The association of periodic fasting with a composite of mortality or hospitalization as the primary outcome was evaluated by Cox regression through February 2021 and multivariable adjustments considered 36 covariables in INSPIRE patients diagnosed with COVID-19. Secondary analysis evaluated the association of fasting with testing positive for SARS-CoV-2 in INSPIRE patients evaluated for COVID-19 (n=1,524). Results: Subjects engaging in periodic fasting (n=73, 35.6%) did so for 40.4{+/-}20.6 years (max: 81.9 years) prior to COVID-19 diagnosis. The composite outcome occurred in 11.0% of periodic fasters and 28.8% of non-fasters (p=0.013), with HR=0.61 (95% CI=0.42, 0.90) favoring fasting. Multivariable analyses confirmed this association. Other predictors of hospitalization/mortality were age, Hispanic ethnicity, prior MI, prior TIA, and renal failure, with trends for race, smoking, hyperlipidemia, coronary disease, diabetes, heart failure, and history of anxiety, but not alcohol use. In secondary analysis, COVID-19 was diagnosed in 14.3% of fasters and 13.0% of non-fasters (p=0.51). Conclusions: Routine periodic fasting was associated with a lower risk of hospitalization or mortality in patients with COVID-19. Fasting may be a complementary therapy to vaccination that could provide immune support and hyperinflammation control during and beyond the pandemic. Trial registration: clinicaltrials.gov, NCT02450006 (the INSPIRE registry)