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BackgroundIt is known that rheumatologic patients often present a course of COVID-19 similar to that of the general population. Some factors are linked to a worse COVID-19 outcome, such as moderate glucocorticoid (GC) dose, high body mass index (BMI), and comorbidities.ObjectivesTo describe the outcome of COVID-19 in patients with rheumatoid arthritis (RA) in terms of symptoms, therapy and need for hospitalization compared to a control group. Also, to evaluate the variation in disease activity before and after COVID-19.MethodsIn this monocentric prospective study, we recruited consecutive adult patients with RA classified according to ACR-EULAR 2010 criteria who received a diagnosis of COVID-19 through molecular or rapid antigen swab tests between September 2020 and December 2022. Demographic and clinical data, including age, BMI, smoking habit, comorbidities, treatment at the diagnosis of COVID-19, duration of COVID-19, symptoms related to the infection and therapy required, together with the vaccination status were collected through a self-administered questionnaire. We compared DAS28-CRP before the infection and at the first visit after the resolution. As controls (Cs), individuals with COVID-19 but with no referred diagnosis of rheumatic/autoimmune disease were recruited.ResultsWe enrolled 111 patients affected by RA (males 15%, median age 56 years, IQR 25) and 89 Cs (males 44%, median age 47 years, IQR 43), whose demographic and clinical characteristics are reported in Table 1. The median RA disease duration was 108 months (IQR 201). At the COVID-19 diagnosis, 62 patients (56%) were assuming csDMARDs, 67 (60%) bDMARDs, and 18 (16%) GC with a median prednisone equivalent dose of 4 mg/day (IQR 1). DAS28-CRP was available for 62 patients, with a median value of 1.67 (IQR 2.71);42 patients (60%) were in remission (Figure 1). Before developing COVID-19, only 35 (32%) RA patients and 42 (47%) Cs had completed the vaccinal cycle, which was performed by mRNA vaccine in all the patients and 87% of Cs. The median COVID-19 duration was 18 days (IQR 18) for RA patients and 14 days (IQR 13.5) for Cs (p>0.7). Cs reported a significantly higher frequency of constitutional symptoms (headache and asthenia) compared to RA patients (p<0.00001). When hospitalization was required, RA patients received heparin more frequently than Cs (p<0.039). Once COVID-19 was resolved, RA patients were evaluated after a median of 2 months (IQR 2). DAS28-CRP was available for 68 patients, with a median value of 1.61 (IQR 1.77);42 patients (68%) were in remission (Figure 1).No differences in terms of COVID-19 duration, clinical manifestations, and therapy emerged comparing RA patients in remission (40;58%) with patients with the active disease before COVID-19 (29;42%). Also, in vaccinated subjects, the outcome of COVID-19 was similar in RA patients and Cs, irrespective of RA activity.ConclusionCOVID-19's impact on patients with RA was not significantly different from the general population, even for patients with active RA. Patients did not suffer from reactivation of RA because of COVID-19. In our opinion, these positive results could be ascribed to the massive vaccination campaign.References[1]Conway R et al, Ir J Med Sci. 2023[2]Andersen KM et al, Lancet Rheumatol. 2022Table 1.Clinical characteristics, COVID-19 symptoms, and therapy of the two groups. Values in brackets are expressed as percentages unless specified. Musculoskeletal diseases: osteoarthritis and osteoporosis.Rheumatoid arthritis N=111Controls N=89P value*ACTIVE SMOKERS13 (12)20 (22)BMI (IQR)24 (7)23(6)COMORBIDITIES64 (58)44 (49)Cardiovascular26 (23)18 (20)Endocrine24 (22)14 (16)Musculoskeletal11 (10)6 (7)Neoplastic12 (11)3 (3)CLINICAL MANIFESTATIONS96 (86)74 (83)Fever50 (45)47 (53)Constitutional symptoms52 (47)75 (84)p <0.00001Respiratory symptoms100 (90)86 (97)Gastrointestinal symptoms12 (11)13 (15)THERAPY88 (79)74 (67)NSAIDs41 (37)31 (35)Glucocorticoids24 (22)21 (30)Antibiotics33 (30)27 (24)Oxygen6 (5)5 (6)Heparin8 (7)0 (0)p <0.039HOSPITALIZATION10 (9)6 (9)*Where not indi ated, p value >0.5Acknowledgements:NIL.Disclosure of InterestsNone Declared.
ABSTRACT
BackgroundThe World Health Organization defined long-COVID or post-COVID-19 condition as "the continuation or development of new symptoms 3 months after the initial SARS-CoV-2 infection, with these symptoms lasting for at least 2 months with no other explanation” [1]. Data on long-COVID in patients with inflammatory arthritis are very limited. The prevalence of this condition is 45% in the general population affected by COVID-19 who still experience symptoms after 4 months from the infection [2].ObjectivesTo investigate the persistence of symptoms after SARS-CoV-2 infection in a cohort of patients with inflammatory arthritis and the most common clinical manifestations.MethodsWe enrolled adult patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ankylosing spondylitis (AS) classified according to standard criteria that received a diagnosis of COVID-19 through molecular, rapid or quantitative antigen swab tests between September 2020 and September 2022. Demographic and clinical data including age, body mass index (BMI), smoking habit, comorbidities, rheumatic treatment at diagnosis of COVID-19, date of COVID-19 diagnosis and clinical manifestations were collected through a questionnaire and recorded in a database.ResultsThirty-eight (40%) patients with RA, 49 (51.6%) with PsA, and 8 (8.4%) with AS [total: 95 patients;F:M=65:30, median age 56 years (IQR 15), median BMI 25.54 kg/m2 (IQR 5.58), active smokers 21 (22.1%), median rheumatic disease duration 96 months (IQR 120), median COVID-19 duration 13 days (IQR 7)] were recruited. Eighteen (19%) were only treated with csDMARDs, 38 (40%) only with bDMARDs, 29 (30.5%) with csDMARDs and bDMARDs, 8 (8.4%) were not taking any treatment and 2 (1%) were only taking glucocorticoids.Six (6.3%) patients were hospitalized (either in Day Hospital facilities for monoclonal antibodies infusion or in the emergency room). Twenty-six (27.3%) and 7 (7.3%) patients reported pre-existing cardiovascular or respiratory comorbidities, respectively. Ninety patients (94.7%) had a symptomatic SARS-CoV-2 infection. Seventy-five (79%) patients reported the persistence of symptoms after the end of the infection (negative swab), while 20 (21%) patients reported no symptoms. Among the former, 38 (50.7%) patients were symptomatic for ≤3 months and 37 (49.3%) were symptomatic for >3 months. In the hospitalized subgroup, 6 (100%) patients reported the persistence of COVID-19 symptoms, while this was reported by 69 (77.5%) patients in the non-hospitalized subgroup (p=ns).The clinical manifestations and their persistence after the infection are reported inFigure 1. The most common were cough and fatigue, which both lasted ≤3 months in 38 (42.2%) patients and >3 months in 3 (3.33%) and 21 (23.3%) patients, respectively. Headache (32 patients - 35.5%), arthralgias (28 patients - 31.1%), myalgias (27 patients - 30%) and shortness of breath (25 patients - 27.7%) were the most common symptoms that persisted in the first 3 months after the infection. Symptoms that persisted for >3 months in more than 20% of the patients were arthralgias (24 patients - 26.6%) and sleep disturbances (19 patients - 21.1%). However, it is difficult to assess whether arthralgias and myalgias were consequences of COVID-19 or secondary to the rheumatic disease. No COVID-19-related deaths were recorded.ConclusionOur data show the persistence of symptoms of COVID-19 after recovery in 79% of patients with chronic inflammatory arthritis. 49.3% of patients were symptomatic for >3 months. Cough, fatigue, headache, arthralgias, myalgias and shortness of breath were the most represented symptoms in the first 3 months after the infection, while arthralgias, fatigue, and sleep disturbances were the most reported after 3 months from SARS-CoV-2 infection.References[1]https://www.who.int/europe/news-room/fact-sheets/item/post-covid-19-condition updated: 7 Dec 2022[2]O'Mahoney LL et al. Lancet 2022Figure 1.Persistence of symptoms and signs after the end of SARS-CoV-2 infection.Data are represented as percentagesAcknowl dgements:NIL.Disclosure of InterestsNone Declared.
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Background: With the outbreak of the SARS-CoV-2 pandemic, the rheumatol-ogists' attention was directed at understanding whether infected patients could have a less favorable outcome. Available data seem to indicate that the course in rheumatic patients is not dissimilar from that in the general population. However, data on the outcome of COVID-19 in patients with spondyloarthritis (SpA) are scant. Objectives: To describe the outcome of COVID-19 in patients with SpA in terms of hospitalization, need of oxygen therapy, and symptoms compared to a control group. The variation in disease activity before and after COVID-19 was also assessed. Methods: We enrolled adult patients with psoriatic arthritis (PsA) and ankylosing spondylitis (AS) classifed according to standard criteria, that received a diagnosis of COVID-19 through molecular or rapid antigen swab tests between September 2020 and January 2022. Demographic and clinical data, including age, body mass index (BMI), smoking habit, comorbidities, rheumatic treatment at diagnosis of COVID-19, date of COVID-19 diagnosis, symptoms and additional therapy during the infection and vaccination status were collected through a questionnaire and recorded on an electronic database. Disease activity, assessed by DAPSA in PsA patients and by BASDAI and ASDAS in AS patients, was evaluated before and at the frst visit after the infection. As controls, individuals with COVID-19 but with no known diagnosis of rheumatic/autoimmune disease were recruited using the 'best friend' system. Results: Sixty-two patients were enrolled [43 with PsA and 19 with AS;F:M=40:22;median age 51 years, 25th-75th percentile 39.5-61;median BMI 25.5, 25th-75th percentile 21.75-28;median disease duration 90 months, 25th-75th per-centile 36-192;6 (9.7%) smokers, 37 (59.7%) non-smokers, 19 (30.6%) past smokers;15 (24.2%) only treated with one conventional DMARD, 27 (43.5%) with bDMARDs and 20 (32.3%) with both;44 (71%) had received no vaccine, 18 (29%) one or more doses of vaccine]. Forty-eight controls were also recruited [F:M=29:19;median age 48 years, 25th-75th percentile 41.5-57;median BMI 23.86, 25th-75th percentile 20.69-28.03;10 (20.83%) smokers, 28 (58.33%) non-smokers, 10 (20.83%) past smokers;43 (89.6%) had received no vaccine, 5 (10.4%) one or more doses of vaccine]. Among patients, 10 (16.1%) were hospitalized, of whom 8 (80%) required noninvasive oxygen therapy. Among controls, 7 (14.5%) were hospitalized, of whom 5 (71.4%) required noninvasive oxygen therapy. No differences were observed compared to the control group in terms of hospitalization and need for oxygen support. Likewise, the two groups did not bear any statistically signifcant difference in terms of symptoms (fever, dys-geusia, dyspnoea) and cardiovascular and respiratory comorbidities. BMI and smoking habit did not influence the outcome of COVID-19 in SpA patients, while a BMI of 25 or above was associated with hospitalization in the control group (p=0.0004, RR 3.417). Baseline treatment with immunosuppressants did not influence the disease outcome. DAPSA, ASDAS, and BASDAI did not signif-cantly change after the infection (Table 1). We did not record any COVID-19-re-lated death in either group. Conclusion: Our data show that patients with SpA do not face a worse prognosis of COVID-19 than subjects without rheumatic/autoimmune diseases and that demographic and clinical features did not influence the course of the disease.
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Background: Antimalarials have been associated with QT prolongation in COVID19 patients but are generally safe in patients with rheumatologic disease. Objectives: Aim of the study was to compare the prevalence of QTc prolongation between COVID19 and Systemic Lupus Erythematosus (SLE) patients treated with hydroxychloroquine (HCQ). Methods: We included consecutive patients with SARS-CoV-2 infection confirmed by nasopharyngeal swab and patients taking HCQ for SLE. A prolonged QTc was defined as an increase in QTc intervals ≥60 ms (compared with baseline) or as a QTc of ≥500 ms. Results: We enrolled 58 COVID19 patients (median age 70.5 years, IQR 25). HCQ, without or with azithromycin, was given to 26 (44.8%) and 15 patients (25.9%), respectively;17 (29.3%) had not received either drug. The median baseline QTc was 432 (IQR 36) and prolonged QTc was observed in 15 (26%) patients (12 QTc≥500 ms and 3 patients ΔQTc≥60 ms). We didn't find significant differences in QTc prolongation among the three treatment groups. Baseline QTc (OR 111.5) and D-dimer (OR 78.3) were independently associated to QTc prolongation. Compared to the 50 SLE patients (median age of 38.5 years, IQR 22), chronically treated with HCQ, patients with COVID19 showed significantly longer QTc (p < 0.001) (Table 1). Conclusion: This is the first study demonstrating that, differently from COVID19 patients, patients with SLE are not susceptible to HCQ-induced long QT syndrome and arrhythmia. The combined arrhythmogenic effect of SARS-CoV-2 infection and HCQ could account for the excess of QTc prolongation and fatal arrhythmias described in patients with COVID19.
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OBJECTIVES: Diagnostic work-up following any COVID-19 associated symptom will lead to extensive testing, potentially overwhelming laboratory capacity whilst primarily yielding negative results. We aimed to identify optimal symptom combinations to capture most cases using fewer tests with implications for COVID-19 vaccine developers across different resource settings and public health. METHODS: UK and US users of the COVID-19 Symptom Study app who reported new-onset symptoms and an RT-PCR test within seven days of symptom onset were included. Sensitivity, specificity, and number of RT-PCR tests needed to identify one case (test per case [TPC]) were calculated for different symptom combinations. A multi-objective evolutionary algorithm was applied to generate combinations with optimal trade-offs between sensitivity and specificity. FINDINGS: UK and US cohorts included 122,305 (1,202 positives) and 3,162 (79 positive) individuals. Within three days of symptom onset, the COVID-19 specific symptom combination (cough, dyspnoea, fever, anosmia/ageusia) identified 69% of cases requiring 47 TPC. The combination with highest sensitivity (fatigue, anosmia/ageusia, cough, diarrhoea, headache, sore throat) identified 96% cases requiring 96 TPC. INTERPRETATION: We confirmed the significance of COVID-19 specific symptoms for triggering RT-PCR and identified additional symptom combinations with optimal trade-offs between sensitivity and specificity that maximize case capture given different resource settings.
Subject(s)
COVID-19 , COVID-19 Vaccines , Fever , Humans , Prospective Studies , SARS-CoV-2ABSTRACT
OBJECTIVES: Diagnostic work-up following any COVID-19 associated symptom will lead to extensive testing, potentially overwhelming laboratory capacity whilst primarily yielding negative results. We aimed to identify optimal symptom combinations to capture most cases using fewer tests with implications for COVID-19 vaccine developers across different resource settings and public health. METHODS: UK and US users of the COVID-19 Symptom Study app who reported new-onset symptoms and an RT-PCR test within seven days of symptom onset were included. Sensitivity, specificity, and number of RT-PCR tests needed to identify one case (test per case [TPC]) were calculated for different symptom combinations. A multi-objective evolutionary algorithm was applied to generate combinations with optimal trade-offs between sensitivity and specificity. FINDINGS: UK and US cohorts included 122,305 (1,202 positives) and 3,162 (79 positive) individuals. Within three days of symptom onset, the COVID-19 specific symptom combination (cough, dyspnoea, fever, anosmia/ageusia) identified 69% of cases requiring 47 TPC. The combination with highest sensitivity (fatigue, anosmia/ageusia, cough, diarrhoea, headache, sore throat) identified 96% cases requiring 96 TPC. INTERPRETATION: We confirmed the significance of COVID-19 specific symptoms for triggering RT-PCR and identified additional symptom combinations with optimal trade-offs between sensitivity and specificity that maximize case capture given different resource settings.