AUTOANTIBODIES RELATED TO RHEUMATIC DISEASES AFTER COVID-19 INFECTION

BackgroundSARS-CoV-2(Severe acute respiratory syndrome coronavirus 2) has been circulating worldwide for three years. It mainly causes upper respiratory tract infection, which can manifest as pulmonary infection and even respiratory distress syndrome in severe cases. Different autoantibodies can be detected in patients infected with COVID-19.ObjectivesTo explore autoantibodies related to rheumatic diseases after COVID-19 infection.MethodsNinety-eight inpatients were tested for antinuclear antibodies (ANA), antibodies to extractable nuclear antigens(ENA), anti-neutrophil cytoplasmic antibodies（ANCA), anticardiolipin antibodies,a-β2GPI (IgG/IgM). They were from a tertiary hospital in Guangzhou during the COVID-19 epidemic. Data were described statistically.ResultsNinety-eight hospitalized patients were tested for relevant antibodies. The average age was 50.64±19.54;67 (68.4%) were male, 64 (65.3%) were COVID-19 positive, 90 (90.9%) had rheumatic diseases, and 56 of them were COVID-19 positive patients with rheumatic diseases.There were 76 patients tested for antinuclear antibodies;29 （38.16%）were negative, 18 （23.68%）had a 1/80 titre, and 29（28.16%） had a titre greater than 1:80. The 31 covid patients were positive for ANA. In the high-titer group, 19 patients with rheumatic diseases were positive for COVID-19, and 12 patients had an exacerbation of the rheumatic diseases (6 of whom had previously had pulmonary fibrosis). Of 31 covid patients, only two were non-rheumatic patients, and both were elderly, aged 85 and 100, respectively.Fifty-six patients had ENA results, and 29 for positive antibodies, 8 for ds-DNA antibodies, 2 for anti-Sm antibodies, 6 for anti-nucleosome antibodies, 12 for anti-U1RNP antibodies, 2 for anti-Scl-70 antibodies, 12 for anti-SS-A antibodies, 3 for anti-mitochondrial M2 antibodies, 2 for anti-centromere antibodies, 1 for anti-Po antibodies, and one for anti-Jo-1 antibody. All 56 patients had rheumatic diseases, and no new patients were found.There were 62 patients with ANCA data. P-ANCA was positive in 12 cases(19.35%), and MPO-ANCA was positive in 2 cases. An 85-year-old non-rheumatic COVID-19 patient was P-ANCA positive. She had a history of hypertension, colon cancer, CKD3, coronary heart disease, and atrial flutter.In the anticardiolipin antibodies group, there were 62 patients;only 6 were positive, and 2 were rheumatic patients infected with COVID-19. Antiphospholipid antibodies were detected in 33 patients, and a-β2GPI was tested in one patient, an 82-year-old COVID-19 patient with gout, diabetes, and cerebral infarction in the past. We did not find a statistical difference in the above results.ConclusionWe have not found a correlation between SARS-CoV-2 and serum autoantibodies of rheumatic immune diseases. It needs large samples and an extended follow-up to research.AcknowledgementsThis work was supported by Scientific and Technological Planning Project of Guangzhou City [202102020150], Guangdong Provincial Basic and Applied Basic Research Fund Project [2021A1515111172], National Natural Science Foundation of China Youth Fund [82201998] and Third Affiliated Hospital of Sun Yat-Sen University Cultivating Special Fund Project for National Natural Science Foundation of China [2022GZRPYQN01].Disclosure of Interestsone declared.

Influencing factors of negative conversion time of nucleic acid detection in 228 patients infected with Omicron variant of SARS-CoV-2 in Shanghai

Objective: To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods: The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results: The mean nucleic acid conversion time of 228 patients was (18.7+or-12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2+or-2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8+or-1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P > 0.05);however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P < 0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P < 0.05). Conclusions: The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.

Patient Outcomes in CMV and SARS-CoV-2 Coinfection

This study examines clinical outcomes in patients with cytomegalovirus (CMV) and SARS-CoV-2 coinfection. Between June and November 2020, previously immunocompetent patients with SARS-CoV-2 and CMV coinfection were identified at Houston Methodist Hospital as part of routine clinical correlation by a molecular pathologist. SARS-CoV-2 nasopharyngeal specimens were analyzed by real time reverse-transcriptase polymerase chain reaction (RT-PCR). All CMV tests were performed on plasma or bronchoalveolar lavage (BAL) specimens and analyzed by competitive polymerase chain reaction. 65 previously immunocompetent patients with CMV and SARS-CoV-2 coinfection were identified. Patient demographics include 41 male patients (63%) and 24 female patients (37%) ranging in age from 34 to 86 years (mean: 66.04, median 68). Documented pre-existing conditions include 27 patients with hypertension 41.5%), 19 patients with diabetes mellitus (29.2%), 9 patients with coronary artery disease (13.8%), and 3 patients with asthma (4.6%). Eight patients (12.3%) had no documented pre-existing conditions. The plasma CMV viral load ranged from <300 to 21,566 IU/mL. The CMV PCR results from bronchoalveolar lavage and bronchial wash specimens ranged from <300 to 59,127 IU/mL. CMV PCR was initially negative in 10 patients then positive on serial testing. 60 patients were critically ill requiring ventilator support (92.3%). 47 patients (72.3%) expired, 7 patients (10.8%) were transferred to a long term acute care facility, 3 patients (4.6%) were discharged to a rehabilitation facility, 3 patients (4.6%) were discharged home, and 1 patient (1.5%) remained in-patient at the time of analysis. The prevalence of CMV seropositivity and medical comorbidities increases with age. Reactivation of latent CMV is a known occurrence in critically ill patients that is associated with poor outcomes. The majority of the patients in our cohort were 50 years old, and all were severely to critically ill with a mortality rate of 72.3% These findings suggest CMV portends a worse prognosis in patients with COVID-19. These findings also demonstrate the importance of clinical correlation in molecular testing.

TOFACITINIB IN PSORIATIC ARTHRITIS -WELL TOLERATED DRUG - REAL LIFE EXPERIENCE

BackgroundTofacitinib a small molecule JAK- inhibitors has been approved for use in psoriatic arthritis (PSA) since 2017 while it has shown to be effective in the clinical trials real life data is sparse.With increase in use there has been growing concern about the safety profiles and adverse events which makes it all the more important to have real life data.ObjectivesTo review patient records who were treated with tofacitinib for psoriatic arthritis and to assess the tolerance and continuation rate and also assess the occurrence of adverse events like infections, coronary artery disease.MethodsAll PSA patients who were prescribed tofacitinib from JAN-2021 to JUNE 2022 with minimum of 6 months followup were included for analysis. Demographics, weight recordings, lab parameters and occurence of adverse events were noted.ResultsThere were a total of 71 patients who were prescribed tofacitinib out of which 46 are continuing and 25 have stopped during this period. The mean age was 47.25 (10.9)yrs the mean disease duration was 4.182 (4.474)yrs The reason for stopping tofacitinib was better(52%) followed inefficacy(24%), and miscellaneous(24%)reasons..When analysing before and after tofacitninb one thing whihc was striking is the significant weight gain among patients with minimum of 3.52(3.06) kg weight gain and this weight gain was consistent even in stopped patients.in comparing the lab parameters before and after tofacitininb there was a significant redcution in CRP,ESR,PLATELET COUNT Table 1 and a minimal but insginificant rise in liver enzymes within the physiological range.When compared to before and after tofacitinib there was increased occurence of fatigue(18.3%), minor infections(11.2%), Gastrointerstinal adverse events (11.2%), alopecia (11.2%), Itching(10.4%), headache(9.8%), UTI(5.6%), cough (4.2%), transaminitis(2.8%), covid(1.7%), zoster(1.4%) and CAD(1.4%).ConclusionTofacitinib in psoriatic arthritis is well tolerated with significant reduction in the inflammatory markers and weight gain but serious adverse events in lesser percentage eventhough it leads to significant weight gain.Table 1.PARAMTERSBeforeAfterP valueWeight70.15 (14.19)72.31 (14.24)0.000249ESR45.29 (28.26)35.23 (28.33)0.037CRP21.56 (16.38)10.72 (11.98)<.0001PLATELET COUNT332.92 (88.77)307.09 (88.18)0.0046SGOT30.33 (9.99)35.69 (19.92)0.125SGPT22.57 (12.96)27.98 (20.17)0.116Reference[1]Ly K, Beck KM, Smith MP, Orbai A-M, Liao W. Tofacitinib in the management of active psoriatic arthritis: patient selection and perspectives. Psoriasis (Auckl) [Internet]. 2019;9:97–107. Available from: https://doi.org/10.2147/PTT.S161453Acknowledgements:NIL.Disclosure of InterestsNone Declared.

Predictors of non-invasive ventilation failure in adult patients with cardiac dysfunction presenting with community-acquired pneumonia: an Egyptian multicenter prospective study

Non-invasive ventilation (NIV) might be successful if carefully selected in adult patients with cardiac dysfunction presenting with community-acquired pneumonia. The main objective of this study was to identify the early predictors of NIV failure. Adult patients with left ventricle ejection fraction (LV EF) <50% admitted to the intensive care unit (ICU) with community-acquired pneumonia and acute respiratory failure were enrolled in this multicenter prospective study after obtaining informed consents (study registrationID: ISRCTN14641518). Non-invasive ventilation failure was defined as the requirement of intubation after initiation of NIV. All patients were assessed using the Acute Physiology and Chronic Health Evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores at admission, while their Heart rate Acidosis Consciousness Oxygenation and Respiratory rate (HACOR) and lung ultrasound (LUS) scores in addition to blood lactate were assessed at NIV initiation and 12 and 24 hours later. A total of 177 patients were prospectively enrolled from February 2019 to July 2020. Of them, 53 (29.9%) had failed NIV. The mean age of the study cohort was 64.1+or- 12.6 years, with a male predominance (73.4%) and a mean LV EF of 36.4 +or- 7.8%. Almost 55.9% of the studied patients had diabetes mellitus, 45.8% had chronic systemic hypertension, 73.4% had ischemic heart disease, 20.3% had chronic kidney disease, and 9.6% had liver cirrhosis. No significant differences were observed between the NIV success and NIV failure groups regarding underlying morbidities or inflammatory markers. Patients who failed NIV were significantly older and had higher mean SOFA and APACHE II scores than those with successful NIV. We also found that NIV failure was associated with longer ICU stay (p < 0.001), higher SOFA scores at 48 hours (p < 0.001) and higher mortality (p < 0.001) compared with the NIV success group. In addition, SOFA (Odds Ratio (OR): 4.52, 95% Confidence Interval (CI): 2.59-7.88, p < 0.001), HACOR (OR: 2.01, 95% CI: 0.97-4.18, p = 0.036) and LUS (OR: 1.33, 95% CI: 1.014-1.106, p = 0.027) scores and blood lactate levels (OR: 9.35, 95% CI: 5.32-43.26, p < 0.001) were independent factors for NIV failure. High initial HACOR and SOFA scores, persistent hyperlactatemia and non-decrementing LUS score were associated with early NIV failure in patients with cardiac dysfunction presenting with community-acquired pneumonia, and could be used as clinical and paraclinical variables for early decision making regarding invasive ventilation.

LABORATORY PARAMETERS ASSOCIATED WITH CODIV-19 CYTOKINE STORM DEVELOPMENT

BackgroundSince the end of 2019, physicians became more and more familiar with SARS-CoV-2 infection and the variety of forms in which it may present and evolve. There have been a lot of studies trying to understand and predict why some patients develop a dysregulation of the immune response, with an exaggerated release of pro-inflammatory cytokines, called cytokine storm (1–4). There is scarce evidence in Romania regarding this aspect.ObjectivesThis study aims to verify the correlation between some laboratory parameters and the development of cytokine storm in SARS-CoV-2 infection in a cohort of over 200 patients admitted in a tertiary hospital from Romania, hoping that early identification of these risk factors of progression to a severe form of the disease can bring considerable benefit to patient care.MethodsThis is an analytical, observational, case-control study which includes 219 patients (all COVID-19 hospitalized patients on the Internal Medicine 3 department of Colentina Clinical Hospital, Bucharest, from 01 March 2020 to 1 April 2021). A series of data were collected, the laboratory parameters being the most important, including: albumin, lymphocyte (percentage), neutrophil (absolute value), aspartate aminotransferase, alanine aminotransferase, D-dimers, lactate dehydrogenase (LDH), anionic gap, chloremia, potassium and the BUN:creatinine ratio (BUN - blood urea nitrogen). The laboratory parameters used for the statistical analysis represent the average values of the first 7 days of hospitalization for those who did not develop cytokine storm, respectively until the day of its development, for the others. Patients were classified into these groups, those who developed cytokine storm, respectively those who did not have this complication taking into account the clinical and paraclinical criteria (impairment of respiratory function, elevations of certain markers 2-3 times above the upper limit of normal, those who died as a result of SARS-CoV-2 infection). Then Binary Univariate Logistic Regression was applied in order to verify the individual impact of every laboratory parameter on cytokine storm development. Furthermore, all laboratory parameters were subsequently included in the multivariate analysis, using the backward selection technique to achieve a model as predictive as possible.ResultsWe mention that the analysis of demographic data was previously performed, showing no statistically significant relationship between patient gender, age or comorbidities (history of neoplasm, lung diseases, cardiac pathology, obesity, type II diabetes and hypertension) and their evolution to cytokine storm. After performing binary univariate logistic regression we concluded that 8 of the 13 laboratory analyzes have had a significant change between groups (ferritin, PCR, albumin, Lymphocyte, Neutrophils, TGO, LDH, BUN:creatinine ratio). Only 150 patients were then included in the multivariate analysis. After the analysis, some of the variables lost their statistical significance, the final model including C-reactive protein, neutrophilia, LDH, ferritin and the BUN:creatinine ratio. This model correctly predicts the development of cytokine storm in 88% of cases.ConclusionHigh C-reactive protein, neutrophilia, LDH, ferritin and the BUN:creatinine ratio are risk factors for cytokine storm development and should be monitored in all COVID-19 patients in order to predict their evolution.References[1]Pedersen SF et all. SARS-CoV-2: A storm is raging[2]Mehta P et al. COVID-19: consider cytokine storm syndromes and immunosuppression[3]Hu B et al. The cytokine storm and COVID-19.[4]Caricchio R et al. Preliminary predictive criteria for COVID-19 cytokine stormAcknowledgements:NIL.Disclosure of InterestsNone Declared.

IMPACT OF CHRONIC KIDNEY DISEASE IN PATIENTS WITH AS USING BIOLOGIC AGENTS

BackgroundAlthough renal involvement is an rare extra-articular involvement in patients with ankylosing spondylitis (AS), medications and accopamyning comorbidities may adversly affect renal functions [1].ObjectivesTo determine the frequency and impact of CKD in patients with AS using biologic disease modyfying anti-rheumatic drugs (bDMARDs).MethodsBetween 2005 and November 2021, 3207 patients diagnosed with AS according to the modified New York criteria were enrolled in the Hacettepe University biological database (HUR-BIO). The 2012 Kidney Disease: Improving Global Outcomes (KDIGO) guideline was used for the definition of CKD to evaluate the renal function of patients. Glomerular filtration rate (GFR) was calculated with the MDRD (modified Modification of Diet in Renal Disease) formula, taking into account the creatinine value, age and gender parameters of the patients [2]. CKD was detected in 39 (1,2%) patients. Age-sex matched 41 non-CKD AS patients were selected as the control group. Demographic and clinical characteristics and mortality rates of AS patients with and without CKD were compared.ResultsOf 39 AS-CKD patients, 25 (64.1%) had CKD before the initation of bDMARD and and 14 (35.8%) developed CKD during follow-up after treatment was started. Patients with AS-CKD had longer duration of symptoms and disease (Table 1). Comorbidities such as hypertension, coronary artery disease and amyloidosis were more prevalent in patients with AS-CKD. At a median follow-up of 2.48(0.1-20.1) years, mortality was observed in 11(28.2%) patients in the AS-CKD group, while no mortality was observed in the age-sex matched AS-nonCKD group (p<0.001, Figure 1). The mortality rate in patients with AS-CKD was 12.6 per 1000 patient-years, and 4 (10.2%) of deaths were during the COVID-19 pandemia.Figure 1.Table 1.AS-CKD group (n=39)AS-nonCKD group (n=41)PTotal AS patients, (n=3207)Age, mean(SD), years68.2 (12.0)58.8(12.6)-47.9±(11.2)Male, n(%)27 (69.2)27(65.9)-1716(53.5)53.1)Symptom duration, years median (min-max)20 (5-42)11(2-30)0.0110(1-44)Disease duration, years median (min-max)14,5(5-42)7(1-29)0.046(1-37)HLA-B27 positivity, n(%)13(33.3)12(29.2)0.5826/2014(41.0)Uveitis, n(%)6/354/360.2339/2946(11.5)Inflammatory bowel disease, n(%)4/353/360.4135/2946(4.58)Smoking, ever, n(%)22/34 (64.7)20/36(55.5)0.31781/2942(60.5)BMI (kg/m2), mean(SD)28 (6.08)28.2(5.01)0.828.1(5.5)Amiloidosis, n(%)14/36(38.9)1(2.4)<0.00133/2949(1.11)Comotbidities n(%)• Diabetes Mellitus,7/34(20.6)4/36(11.1)0.2199/2949(6.7)• Hypertension27/34(79.4)9/36(25)<0.001442/2949(14.9)• CAD8/21(38.1)1/25(4)0.005110/1882(5.8)• COPD5/21(23.8)0/240.004117/1774(6.59)CRP, med(min-max)1.6(0.4-12.4)1.77(0.1-23.6)0.81.07(0.1-45)• at the initiation of bDMARDs, at the last visit,0.7(0.16-14)0.55(0.1-7.5)0.30.5(0.1-14)ESR, med(min-max)• at the initiation of bDMARDs,48(12-140)30(2-96)0.119(1-140)• at the last visit, med(min-max)25(3-93)15(2-70)0.113(1-110)BASDAI, mean (SD)• At the initiation of bDMARDs4.5(±2.1) 5.46(±2.07) 0.5 5.7(±2.04) • At the last vizit3.94(±2.35)2.95(±2.33)0.093.69(±2.5)CAD: Coronary artery disease, COPD: Chronic Obstructive pulmonary disease, BMI: Body mass index, BASDAI: Bath AS Disease Activity IndexConclusionBoth comorbid disease burden and mortality seem to be increased in patients with AS-CKD. Increased mortality was more pronounced during the COVID-19 pandemia.References[1]Coşkun, B.N., et al., Anti-TNF treatment in ankylosing spondylitis patients with chronic kidney disease: Is it effective and safe? Eur J Rheumatol, 2022. 9(2): p. 68-74.[2]Stevens, P.E. and A. Levin, Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med, 2013. 158(11): p. 825-30.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

TIME MANAGEMENT AND RISK FACTORS IN LIFE-THREATENING ANCA-VASCULITIS

BackgroundAccuracy of diagnosis and prompt therapeutic intervention are the mainstay in patients with ANCA-associated vasculitis(AAV) suffering from life-threatening complications [1].However, there is no definition of therapeutic window in vital AAV, nor its impact on patient outcome regarding length of hospital stay, intensive care unit(ICU) admission or survival.ObjectivesThe aim of the study is to analyze the process of care from the perspective of time management in vital organ involvement AAV patients and to identify potential risk factors for ICU admission.MethodsA retrospective multicenter study identified AAV patients with life-threatening organ involvement, defined as alveolar hemorrhage, rapidly progressive renal failure, myocarditis and cerebral granuloma. Demographic data was collected. Key time frames were recorded, namely the interval from acute symptom onset to hospital presentation, days until imaging(plain X-ray, cardiac ultrasound, CT-scan), time to therapeutic intervention with corticosteroids or biologic/non-biologic immunosuppression(cyclophosphamide or rituximab) and to renal replacement therapy(RRT) or plasmapheresis. Time to ICU admission, hospital length-of-stay, Birmingham Vasculitis Activity Score(BVAS) were also noted. Statistical analysis was performed using SPSS and Chi-square and Pearson correlation tests were applied.Results66 patients with AAV were enrolled, out of which 17 fulfilled inclusion criteria. Mean age in the study group was 58.6±11.1 years old,10 patients(58.8%) were females and 7 (41.2%) males.11(64.7%) patients were c-ANCA positive, while 6 (35.3%) had p-ANCA and all were diagnosed with AAV prior to life-threatening event. Two patients had COVID-19 triggered AAV.In the study group, the most frequent critical organ suffering was rapidly progressive renal failure(12), followed by alveolar hemorrhages(10), 2 cerebral granulomas and one acute myocarditis. Three patients(17.6%) had more than one vital manifestation. Ten patients(58.8%) had more than three additional non-organ-threatening manifestations. Mean interval from AAV diagnosis to emergency admission was 30.1± 61.1 days, median 3 and from severe episode onset to hospitalization 1.65±0.18 days, median 1. There was only one death in the study group. Three patients were admitted in the ICU in 0.59±1.5 days following hospital presentation and required either RRT or plasma exchange within 2.66 days. Imaging examination was performed unanimously the day upon hospital admission. All patients received corticosteroids in the first 5.95±14.3 days, while immunosuppression was given to 13(76.5%) patients within 11.5±15.5 days from hospitalization.12 patients(70.5%) suffered from associated infections. Mean BVAS(13.6±6.76) correlated to ICU admission(p 0.013, r 0.58).Patients in ICU revealed higher BVAS(22±9.53) versus non-ICU(11.8±4.76).Hospital length of stay was 14.7±10.7 days(median 14) and showed no relationship to the type of severe organ involvement. The need for ICU caring was dominant in males(p 0.05) and confirmed in patients with proteinuria(p 0.012) and at least two major organ damage.ConclusionThis study shows that severity risk factors for potential ICU admission for life-threatening AAV appear to be male gender, proteinuria and the number of affected organs.Moreover, BVAS should be considered a useful tool to predict patients' risk for intensive care management since a higher score indicates a more aggressive disease.However, time to investigational or therapeutic intervention did not correlate to patient outcome in AAV.References[1]Geetha, D., Seo, P. (2011). Life-Threatening Presentations of ANCA-Associated Vasculitis. In: Khamashta, M., Ramos-Casals, M. (eds) Autoimmune Diseases. Springer, London. https://doi.org/10.1007/978-0-85729-358-9_8Acknowledgements:NIL.Disclosure of InterestsNone Declared.

PERICARDITIS AFTER COVID-19 VACCINATION: A CASE SERIES

BackgroundCOVID-19 vaccination campaigns successfully impacted on viral spreading and in particular on clinical course of the disease. However, secondary to a highly extended vaccination program, several local and systemic adverse events associated with mRNA COVID-19 vaccines have been reported. Pericarditis and myocarditis are examples of cardiac complications related to these vaccines. In particular, cases of pericarditis have occurred after mRNA COVID-19 vaccination (mostly secondary to vaccination with Moderna than Pfizer-BioNTech), especially in male adolescents and young adults, more often after the second dose. The incidence is approximately of 1-2 cases/100.000.ObjectivesAim of our study was to study the clinical profile of pericarditis occurred within 30 days after COVID-19 vaccines in our clinic.MethodsWe present a case series of patients who developed pericarditis after COVID-19 vaccination in the Department of Internal Medicine at Fatebenefratelli Hospital in Milan, followed from December 1, 2021 to April 15, 2022.ResultsTwenty-five individuals, of which 18 (72%) were women and 7 (28%) were males, had vaccine related pericarditis. Two patients were vaccinated with AstraZeneca, 2 with Moderna, the remaining with Pfizer-BioNTech. Median age was of 42 years. Of all patients, one subject was affected by constrictive effusive pericarditis, while another required treatment of pericarditis with Anakinra, switched to Canakinumab after severe skin reactions, because of failure of therapeutic response to first-line treatments.Two patients required hospital admission, in one case for a transient constrictive pericarditis. In the remaining cases clinical symptoms associated with post-vaccines pericarditis were mild and didn't require hospitalization.Chest pain was reported in 100% of cases, whereas pericardial effusion (in one case larger than 10 mm) was evidenced in 30% of subjects. Eighty percent of patients experienced tachycardia, whereas 90% reported asthenia.An increase in indices of inflammation (CRP) was documented in 50% of patients, usually mild.With regard to therapy, 90% of patients were treated with NSAIDs, 95% with colchicine, while 50% of cases required treatment with low-dose steroids.ConclusionCOVID-19 vaccination induces a particular form of pericarditis, often insidious and very troublesome, but with good prognosis. The clinical phenotype showed less typical chest pain, often normal indices of inflammation and little or no instrumental changes, but patients often experimented tachycardia and functional limitation. With regard to therapy, we used NSAIDs at adequate dosages to control the clinical condition, or low-dose colchicine. Low doses of cortisone (e.g., prednisone 5-10 mg a day) were useful in the presence of marked asthenia or systemic symptoms. Beta-blockers or ivabradine were used in the presence of tachycardia.References[1]Barda N, Children 2021, 8(7), 607;Safety of the BNT162b2 mRNA Covid-19 in a Nationwide setting. N Engl J med 2021;385:1078-1090.[2]Diaz GA, Myocarditis and Pericarditis After Vaccination for COVID-19. JAMA 2021;326 (12): 1210-1212.[3]Bibhuti D, Myocarditis and Pericarditis Following mRNA COVID-19 Vaccination: What Do We Know So Far?. Children 2021, 8(7), 607.[4]Giacomo Maria Viani, Patrizia Pedrotti, Romano Seregni, and Brucato Antonio;Effusive–constrictive pericarditis after the second dose of BNT162b2 vaccine (Comirnaty): a case report;European Heart Journal - Case Reports (2022) 6(2), 1–6.[5]Francesco Perna, Elena Verecchia, Gaetano Pinnacchio, Laura Gerardino, Antonio Brucato, and Raffaele Manna;Rapid resolution of severe pericardial effusion using anakinra in a patient with COVID-19 vaccine-related acute pericarditis relapse:a case report;European Heart Journal - Case Reports (2022) 6, 1–6.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

RISK OF APS AND aPLs POSITIVE PATIENTS FOR THROMBOSIS WITH COVID-19

BackgroundCoagulopathy, thromboembolic events and DIC during COVID-19 infection has been reported. Antiphospholipid antibodies (aPLs), present in 1–5 % of healthy individuals. aPLs are associated with the risk of antiphospholipid syndrome (APS) which is associated with higher risk of thrombosis.ObjectivesWe wanted to see if patients with known APS or aPLs only are at higher risk of a thrombotic event compared to control when developed COVID-19. We retrospectively review EMR for over a year for thrombotic events in patients with COVID and prior history of APS or aPLs only and matched them to control.MethodsPatient characteristics and laboratory testing were summarized according to the following groups: APS, aPLs detected or control. The control were matched according to age and gender for each group. Continuous variable were summarized as median (range) and mean (standard deviation), while categorical variables were reported as frequency (percentage). The binary patient outcome of thrombotic event, hospitalization for COVID, death, and composite event (the combined occurrence of thrombotic events, hospitalization, death) were calculated and interpreted as the multiplicative increase in odds of the given outcome for aPL group compared to control group. Multivariable logistic regression models were adjusted for potential risk factors (immobilization, hypertension, coronary artery disease, diabetes mellitus, and smoking) one at a time due to the rare occurrences of events studied.ResultsIn single variable analysis (unadjusted) the odds of the patient having a thrombotic event was approximately 27 times higher in patients with aPL only compared to Controls (P<0.001). We see similar results in multivariable analyses (adjusted) adjusting for the following variables one at a time: immobilization, hypertension, coronary artery disease, diabetes mellitus, and smoking. In each of the multivariable analyses, the adjusted odds of a thrombotic event was between approximately 24 and 29 times higher in patients with aPL Antibody Only compared to Controls (all P<0.001) indicating that association of aPL Antibody Only with thrombotic event was independent of immobilization, hypertension, coronary artery disease, diabetes, and smoking. There was no statistically significant risk of thrombosis in APS group vs control. Majority of patients with APS were on chronic anticoagulation.ConclusionWe found a statistical significantly difference in patient with aPLs only versus control regarding risk of thrombosis when developed COVID-19. No statistically significant risk was noted in patients with APS. While chronic anticoagulation in APS patients is protective it seemed that patient with aPLs only do carry a high risk of thrombosis if any inciting factors like COVID-19.References[1]C. Huang, Y. Wang, X. Li et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet 395 (2020)[2]A. Jayarangaiah, P.T. Kariyanna, X. Chen, A. Jayarangaiah, A. Kumar, COVID-19- Associated coagulopathy: an exacerbated immunothrombosis response, Clin. Appl. Thromb. 26 (2020)[3]Y. Zhang, M. Xiao, S. Zhang et al. Coagulopathy and antiphospholipid antibodies in patients with Covid-19, N. Engl. J. Med. 382 (2020)[4]K.J. Lackner, N. Müller-Calleja, Pathogenesis of antiphospholipid syndrome: recent insights and emerging concepts, Expert Rev. Clin. Immunol. 15 (2019)Acknowledgements:NIL.Disclosure of InterestsNone Declared.

HIGH DOSE INTRAVENOUS ANAKINRA TREATMENT IS SAFE AND EFFECTIVE IN SEVERE AND CRITICAL COVID-19 PATIENTS: A PROPENSITY SCORE MATCHED STUDY IN A SINGLE CENTER

BackgroundIn COVID-19 severe disease course such as need of intensive care unit (ICU) as well as development of mortality is mainly due to cytokine storm.ObjectivesIn this study, we aimed to evaluate the high dose intravenous anakinra treatment response and outcome in patients with severe and critical COVID-19 compared to standard of care.MethodsThis retrospective observational study was carried out at a tertiary referral center. The study population consisted of two groups as follows;the patients receiving high dose intravenous anakinra (anakinra group) between 01.09.2021 and 01.02.2022 and the patients treated with standard of care (SoC, control group) as historical control group who were hospitalized between 01.07.2021 and 01.09.2021.ResultsAfter the propensity score 1:1 matching 79 patients in anakinra and 79 patients in SoC matched and included into the analysis. Mean±SD patient age was 67.4±16.7 and 67.1±16.3 years in anakinra and SoC group, respectively (p=0.9). Male gender was 38 (48.7 %) in anakinra and 36 (46.2 %) SoC (p=0.8). Overall, ICU admission was in 14.1 % (n=11) and 30.8 % (n=24) (p=0.013;OR: 6.2), intubation in 12.8 % (n=10) and 16.7 % (n=13) patients (p=0.5), 14.1 % (n=11) and 32.1 % (n=25) patients died in anakinra and control group, respectively (p=0.008;OR: 7.1)ConclusionIn our study mortality was lower in patients receiving anakinra compared to SoC. Intravenous high dose anakinra is safe and effective treatment in patients with severe and critical COVID-19.Table 1.Baseline clinical and laboratory features of patients receiving standard of care (SoC) and Anakinra before and after propensity score (PS) matchingBefore PS matchingAfter PS matchingVariablesAnakinra (n=148)SoC (n=114)p value (OR)Anakinra (n=78)SoC (n=78)p value (OR)Age (years) (mean±SD)66.8±1763.1±170.0967.4±16.767.1±16.30.9Gender, male (n, %)78 (52.7)45 (39.5)0.033 (4.5)38 (48.7)36 (46.2)0.8Duration of hospitalization (days) (median, IQR)11 (12)9 (7.3)0.027.5 (9)11 (8)0.01Comorbidities (n, %) Diabetes mellitus41/146 (28.1)39 (34.2)0.318 (23)31 (39.7)0.025 (5) Hypertension84/143 (58.7)64 (56)0.730 (61.5)50 (64)0.7 Coronary heart disease27/143 (19)24 (21)0.718 (23)20 (25.6)0.7 Heart failure18/143 (12.6)23 (20)0.114 (18)20 (25.6)0.24 Chronic renal failure31 (21)6 (5.3)<0.001 (13.06)15 (19)6 (7.7)0.035 (4.5) Chronic obstructive lung disease23/144 (16)19 (16.7)0.914 (18)15 (19)0.8 Dementia15/117 (12.8)2 (1.8)0.001 (10.4)3/61 (5)2 (2.6)0.5 Malignancy16/146 (11)8 (7)0.39 (11.5)6 (7.7)0.4 Immunosuppressive usage18/146 (12.3)2 (1.8)0.001 (10.08)5 (6.5)2 (2.6)0.2Disease severity (n, %) NIH score 3 (severe)57 (38.5)68 (59.6)0.001 (11.5)48 (61.5)44 (56.4)0.5 NIH score 4 (critical)91 (61.5)46 (40.4)30 (38.5)34 (43.6) mcHIS score (mean±SD)3.4±1.22.64±1.5<0.0012.9±13.1±1.30.2PS: Propensity score, SoC: Standard of care, OR: Odds ratio, SD: Standard deviation, IQR: Interquartile range, mcHIS: Modified Covid hyperinflammatory syndrome score, NIH: National Institute Health, ALT: Alanin aminotransferase, AST: Aspartate aminotransferaseTable 2.Outcomes of patients receiving SoC and Anakinra before and after PS matchingBefore PS matchingAfter PS matchingVariables (n, %)Anakinra (n=148)SoC (n=114)p value (OR)Anakinra (n=78)SoC (n=78)p value (OR)Pneumothorax3/134 (2.2)00.25*2/73 (2.7)00.5*Myocardial infarction3/132 (2.3)6 (5.3)0.32/72 (2.8)2/56 (3.6)1Pulmonary embolism4/134 (3)11 (9.6)0.034 (4.8)*3/73 (4.1)7 (9)0.3*Intensive care unit60 (40.5)25 (22)0.001 (10.2)11 (14.1)24 (30.8)0.013 (6.2)Intubation54 (36.5)13 (11.4)<0.001 (21.3)10 (12.8)13 (16.7)0.5Mortality56 (37.8)27 (23.7)0.015 (5.96)11 (14.1)25 (32.1)0.008 (7.1)PS: Propensity score, SoC: Standard of care, OR: Odds ratioREFERENCES:NIL.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

ADVERSE EVENTS AFTER VACCINATION FOR SARS-CoV2 IN A CASE SERIES OF FIBROMYALGIA PATIENTS VERSUS HEALTHY CONTROLS

BackgroundFibromyalgia (FM) is a chronic widespread pain syndrome of unknown origin that leads to hypersensitivity for physical, chemical and/or psychic triggers. Vaccination, as an inflammatory stimulus and as a psychologically stressful act, could represent a challenge for these patients.ObjectivesWe aimed to investigate the incidence of adverse reactions after vaccination for Sars-Cov2 in a series of FM patients versus healthy controls.MethodsWe recruited 65 consecutive FM patients classified according to the 2016 ACR diagnostic criteria¹ (M/F: 5/60;mean age 53.6 +/-12.5 years), without other associated rheumatologic conditions, and 65 age/sex-matched healthy controls.All patients filled a questionnaire in order to investigate eventual adverse events occurring up to 6 months after administration of a Sars-Cov2 vaccine. The questionnaire was divided into two parts: the first part included the patient's demographic information, the vaccine type performed and the anamnestic data. In the second part, the individuals described all new symptoms or signs occurred after the first, the second or the third dose of Sars-Cov2 vaccine.ResultsOverall, FM patients reported a higher frequency of adverse events after Sars-Cov2 vaccination in comparison with healthy controls. In particular, 44/65 FM patients vs. 11/65 controls complained of exacerbation of diffuse pain (p<0.001). Fatigue, diarrhea, sweating, tingles, headache, dizziness, transient respiratory discomfort, and paroxysmal vision blurring were also more frequent in FM patients than controls (47/65 vs. 30/65, p=0.004;6/65 vs. 0/65, p=0.028;18/65 vs. 8/65, p=0.047;20/65 vs. 0/65, p<0.001;22/65 vs. 9/65, p=0.013;21/65 vs. 5/65, p<0.001;10/65 vs 1/65, p=0.009;17/65 vs. 2/65, p< 0.001, respectively).No significant difference between FM and the control group as regards fever was reported (24/65 vs. 30/65;p=0.7).Interestingly, swelling at the injection vaccine site was more commonly reported in controls (9/65 vs. 20/65;p=0.034).Finally, one case of Bell's palsy was registered in the FM series while one case of myocarditis in the control group.ConclusionFM patients showed an increased frequency of adverse events to Sars-Cov2 vaccination compared to healthy controls. In particular, all the symptoms reported seemed to be associated with the functional hypersensitivity that characterizes FM.Reference[1]Wolfe F, et Al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum. 2016 Dec;46(3):319-329.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

Special Issue. (Special Issue.)

This special issue contains 13 articles that discuss public health articles such as public perception, knowledge and factors influencing COVID-19 vaccine acceptability, determinants of enrolment in health insurance scheme among HIV patients, hypertension and associated factors among patients attending HIV clinic, determinants of visit-to-visit systolic blood pressure variability among Ghanaians with hypertension and diabetes mellitus, short-term outcomes among patients with subclinical hypothyroidism, association of erectile dysfunction with coronary artery disease, psychological correlates of COVID safety protocol adherence, ophthalmic services utilisation and associated factors, safe duration of silicon catheter replacement in urological patients, and leadership in health and medical education.

The Role of the Immune System on the Cardiac Complications Observed in SARS-CoV-2

Abstract An acute respiratory syndrome caused by SARS-CoV2 was declared a pandemic by the World Health Organization. Current data in the world and in Brazil show that approximately 40% of patients who died have some type of cardiac comorbidity. There are also robust reports showing an increase in IL-6 / IL-1B / TNF-alpha and the presence of lymphopenia in patients with COVID-19. Our team and others have shown that increased cytokines are the link between arrhythmias/Left ventricular dysfunction and the immune system in different diseases. In addition, it has been well demonstrated that lymphopenia can not only be a good marker, but also a factor that causes heart failure. Thus, the present review focused on the role of the immune system upon the cardiac alterations observed in the SARS-CoV2 infection. Additionally, it was well described that SARS-CoV-2 is able to infect cardiac cells. Therefore, here it will be reviewed in deep.

Modern aspects of COVID-19 in HIV-positive patients (literature review)

The article is devoted to the global problems of modern medicine - HIV infection and the COVID-19 pandemic. The review of the literature highlights current ideas about the pathogenesis and course of COVID-19 in patients with HIV infection, and also touches upon the problems of concomitant pathology and mental health of patients with HIV in the setting of the COVID-19 pandemic. It has been shown that HIV-positive patients are a risk group for the severe course of COVID-19, in particular, individuals with severe immunodeficiency (CD4+ T lymphocytes 200 cells/l) due to the development of synergetic lung damage by SARS-CoV-2 and secondary infectious agents such as cytomegalovirus and Pneumocystis carinii. It has been proven that one of the targets of the SARS-CoV-2 virus is CD4+ T cells, which in COVID-19 leads to a more rapid progression of immunodeficiency in patients with HIV infection and, thus, significantly increases the risk of secondary diseases and death. Particular attention should be paid to middle-aged and elderly people living with HIV, who, compared with HIV-negative patients, are more likely to have concomitant pathology - arterial hypertension, cardiomyopathy and diabetes mellitus, which are the risk factors for severe COVID-19. The results of studies on the effect of antiretroviral drugs on the course of COVID-19 showed that HIV-infected patients receiving tenofovir + emtricitabine have a lower risk of severe COVID-19 and associated hospitalization than patients receiving other HIV treatment regimens. Clinical and preclinical data support the potential use of tenofovir in the treatment of novel coronavirus infection.

Viral shedding time and its influencing factors in different site samples of patients infected with Severe acute respiratory syndrome coronavirus 2 omicron BA.2 variant

Objective: To analyze the viral shedding time and its influencing factors in different site samples of patients infected with severe acute respiratory syndrome coronavirus 2 (SARA-CoV-2) omicron BA.2 variant. Methods: Real-time fluorescence polymerase chain reaction was used to detect SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab from 217 patients with coronavirus disease 2019 (COVID-19) who were infected with severe acute respiratory syndrome coronavirus 2 omicron BA.2 variant confirmed by gene sequencing in The First Affiliated Hospital of Naval Medical University (Second Military Medical University). The differences of viral shedding time of different site samples were compared. Stratified analysis and multiple linear regression analysis were used to explore the influencing factors of viral shedding time in different site samples. Results: The age of the 217 COVID-19 patients was 32.0 (24.0, 50.5) years old, 59.0% of them were males (n=128), and 41.0% were females (n=89). Eight (3.7%) cases were diagnosed with asymptomatic infection, 184 (84.8%) cases were mild type, 21 (9.7%) cases were moderate type, 3 (1.4%) cases were severe type, and 1 (0.5%) case was critical type. A total of 70 (32.3%) patients were treated with molnupiravir. The viral shedding time of SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab was 13.0 (11.0, 17.0) d, 16.5 (13.0, 21.0) d and 10.0 (5.3, 11.0) d, respectively, with the differences being significant between them (all P<0.001). Age 60 years old, underlying diseases (especially hypertension, coronary artery diseases, or neurological diseases), and clinical classification of moderate type were risk factors for prolonged viral shedding time in nasopharyngeal swab;male sex and underlying diseases were risk factors for prolonged viral shedding time in sputum;and male sex was a risk factor for prolonged viral shedding time in anal swab. Multiple linear regression analysis showed that critical type was an independent risk factor for prolonged viral shedding time in nasopharyngeal swab (P<0.05), and male sex and underlying diseases were independent risk factors for prolonged viral shedding time in sputum (both P<0.05). Conclusion: Among patients infected with omicron BA.2 variant, the viral shedding time in sputum is the longest and that in anal swab is the shortest. Male patients and/or patients with underlying diseases have longer viral shedding time in sputum.

Modeling the impact of some variables the COVID-19 severe with cart algorithm in Mashhad University of Medical Sciences

Introduction: Considering that the new corona virus (COVID -19) is still prevalent, one of the important concerns is the variables affecting the severity of the corona disease in the health of society. In this study, the CART algorithm was fitted to predict and determine the status of patients infected with COVID-19 in Mashhad University of Medical Sciences. Methods: This paper is a cross sectional-analytical study. Datasets were obtained from all of the people referred for the disease of COVID -19 collected at the Sinai system during the second peak and the fourth peak of the disease in Mashhad University of Medical Sciences. Data analysis was performed using JMP statistical software version 13. Then for modeling, data mining methods and CART algorithm are used. Results: The descriptive findings of our study showed that 6% of patients with positive PCR suffer from severe disease of COVID-19. The age variable was very important in the severity of the disease. The age of 60 years old is the cut-off point for the severity of the disease, which increases COVID-19 severe from about 3% under the age of 60 to about 18% over the age of 60. The diseases of heart, kidney, respiratory, blood fat, and diabetes were other important variables. Conclusion: The results of the CART model showed that for the age under 60 years the variables of heart disease, age, diabetes, respiratory disease, fat, gender, and kidney, and for the age over 60 years the variables of age, heart disease, kidney, respiratory and diabetes were respectively the most critical risk factors. According to the ROC curve, the fitted model has a good performance for COVID-19 severe disease, so it increases up to 6 times the prediction of the COVID-19 severe disease.

Diagnosis and treatment plan for severe cases of novel coronavirus infection

Novel coronavirus infection most often involves the respiratory system, leading to pneumonia. In severe cases, multiple organs or systems such as the heart, kidneys, intestines, and nervous system may also be affected. Therefore, 2019-nCoV infection requires comprehensive prevention and treatment targeting multiple organs. 1. Applicable people (1) Severe and critical cases of novel coronavirus infection, collectively referred to as "severe cases". (2) For those who do not meet the diagnostic criteria for severe cases, but develop pneumonia caused by novel coronavirus infection and have one of the following conditions, they can also be managed as severe cases: age > 65 years old, full vaccination has not been completed, and severe chronic Diseases (including high blood pressure, diabetes, coronary heart disease, chronic lung disease, malignant tumors, and low immune function, etc.).

Football, dementia, . . . and other stories

The increased risk of dementia didn't apply to goalkeepers, which is compatible with the hypothesis that repeated head impacts sustained when heading the ball are part of the cause (Lancet doi:10.1016/S2468-2667(23)00027-0). Mental illness and septic shock A nationwide study of 200 000 adults admitted to intensive care units in French hospitals with septic shock reveals that those with severe mental illness (schizophrenia, bipolar disorder, or major depressive disorder) have substantially lower case fatality, assessed at 30, 90, and 365 days after admission, than controls matched for age, sex, and social deprivation. For vascular dementia, the most consistent precursors were an abnormal electrocardiogram, cardiac dysrhythmias, cerebrovascular disease, non-epithelial skin cancer, depression, and hearing loss (Ann Neurol doi:10.1002/ana.26584).

Prediction and Analysis of Heart Diseases Using Heterogeneous Computing Platform

The work in this paper helps study cardiac rhythms and the electrical activity of the heart for two of the most critical cardiac arrhythmias. Various consumer devices exist, but implementation of an appropriate device at a certain position on the body at a certain pressure point containing an enormous number of blood vessels and developing filtering techniques for the most accurate signal extraction from the heart is a challenging task. In this paper, we provide evidence of prediction and analysis of Atrial Fibrillation (AF) and Ventricular Fibrillation (VF). Long-term monitoring of diseases such as AF and VF occurrences is very important, as these will lead to occurrence of ischemic stroke, cardiac arrest and complete heart failure. The AF and VF signal classification accuracy are much higher when processed on a Graphics Processor Unit (GPU) than Central Processing Unit (CPU) or traditional Holter machines. The classifier COMMA-Z filter is applied to the highly-sensitive industry certified Bio PPG sensor placed at the earlobe and computed on GPU.