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1.
Rheumatology (Oxford) ; 2022 Oct 17.
Article in English | MEDLINE | ID: covidwho-20236348

ABSTRACT

OBJECTIVES: COVID-19 vaccine responses in rare autoimmune rheumatic diseases (RAIRD) remain poorly understood, in particular there is little known about whether people develop effective T cell responses. We conducted an observational study to evaluate the short-term humoral and cell-mediated T cell response after the second SARS-CoV-2 vaccination in RAIRD patients compared with healthy controls (HC). METHODS: Blood samples were collected after the second dose and anti-spike, anti-nucleocapsid antibody levels and SARS-CoV-2 specific T cell responses were measured and compared with HC. Activation induced marker and deep phenotyping assays were used to identify differences in T cells between high and low/no antibody groups, followed by multi-dimensional clustering. RESULTS: 50 patients with RAIRD were included (31 with AAV, 4 with other systemic vasculitis, 9 with SLE and 6 with myositis). Median anti-spike levels were significantly lower in RAIRD compared with HC (p< 0.0001). 15 (33%) patients had undetectable and 26 (57%) had lower levels than the lowest HC. Rituximab in the last 12 months (p= 0.003) was associated with reduced immunogenicity compared with a longer pre-vaccination period. There was a significant difference in B cell percentages (p= 0.03) and spike-specific CD4+ T cells (p= 0.02) between no/low antibody vs. high antibody groups. Patients in the no/low antibody group had a higher percentage of terminally differentiated (exhausted) T cells. CONCLUSIONS: Following two doses, most RAIRD patients have lower antibody levels than the lowest HC and lower anti-spike T cells. RAIRD patients with low/no antibodies have diminished numbers and poor quality of memory T cells which lack proliferative and functional capacities.

2.
Rheumatology (Oxford) ; 2023 Apr 05.
Article in English | MEDLINE | ID: covidwho-2279074

ABSTRACT

OBJECTIVES: To calculate the rates of COVID-19 infection and COVID-19-related death among people with rare autoimmune rheumatic diseases (RAIRD) during the second wave of the COVID-19 pandemic in England, and describe the impact of corticosteroids on outcomes. METHODS: Hospital Episode Statistics data were used to identify people alive 01 August 2020 with ICD-10 codes for RAIRD from the whole population of England. Linked national health records were used to calculate rates and rate ratios of COVID-19 infection and death up to 30 April 2021. Primary definition of COVID-19-related death was mention of COVID-19 on the death certificate. NHS Digital and Office for National Statistics general population data were used for comparison. The association between 30-day corticosteroid usage and COVID-19-related death, COVID-19-related hospital admissions and all-cause deaths were also described. RESULTS: Of 168 330 people with RAIRD, 9,961 (5.92%) had a positive COVID-19 PCR test. The age-standardised infection rate ratio between RAIRD and the general population was 0.99 (95% CI 0.97-1.00). 1,342 (0.80%) people with RAIRD died with COVID-19 on their death certificate and the age-sex-standardised mortality rate for COVID-19-related death was 2.76 (2.63-2.89) times higher than in the general population. There was a dose-dependent relationship between 30-day corticosteroid usage and COVID-19-related death. There was no increase in deaths due to other causes. CONCLUSIONS: During the second wave of COVID-19 in England, people with RAIRD had the same risk of COVID-19 infection but a 2.76-fold increased risk of COVID-19-related death compared with the general population, with corticosteroids associated with increased risk.

3.
Rheumatology (Oxford) ; 61(8): 3161-3171, 2022 08 03.
Article in English | MEDLINE | ID: covidwho-1973248

ABSTRACT

OBJECTIVES: To calculate the rates of COVID-19 infection and COVID-19-related death among people with rare autoimmune rheumatic diseases (RAIRD) during the first wave of the COVID-19 pandemic in England compared with the general population. METHODS: We used Hospital Episode Statistics to identify all people alive on 1 March 2020 with ICD-10 codes for RAIRD from the whole population of England. We used linked national health records (demographic, death certificate, admissions and PCR testing data) to calculate rates of COVID-19 infection and death up to 31 July 2020. Our primary definition of COVID-19-related death was mention of COVID-19 on the death certificate. General population data from Public Health England and the Office for National Statistics were used for comparison. We also describe COVID-19-related hospital admissions and all-cause deaths. RESULTS: We identified a cohort of 168 680 people with RAIRD, of whom 1874 (1.11%) had a positive COVID-19 PCR test. The age-standardized infection rate was 1.54 (95% CI: 1.50, 1.59) times higher than in the general population. A total of 713 (0.42%) people with RAIRD died with COVID-19 on their death certificate and the age-sex-standardized mortality rate for COVID-19-related death was 2.41 (2.30-2.53) times higher than in the general population. There was no evidence of an increase in deaths from other causes in the RAIRD population. CONCLUSIONS: During the first wave of COVID-19 in England, people with RAIRD had a 54% increased risk of COVID-19 infection and more than twice the risk of COVID-19-related death compared with the general population. These increases were seen despite shielding policies.


Subject(s)
COVID-19 , Rheumatic Diseases , Autoimmune Diseases/complications , Autoimmune Diseases/mortality , COVID-19/mortality , COVID-19/therapy , Cause of Death , England/epidemiology , Hospitalization , Humans , Pandemics , Rheumatic Diseases/complications , Rheumatic Diseases/mortality
4.
Rheumatology (Oxford) ; 61(6): 2262-2274, 2022 05 30.
Article in English | MEDLINE | ID: covidwho-1483518

ABSTRACT

OBJECTIVES: The Covid-19 pandemic necessitated a rapid global transition towards telemedicine; yet much remains unknown about telemedicine's acceptability and safety in rheumatology. To help address this gap and inform practice, this study investigated rheumatology patient and clinician experiences and views of telemedicine. METHODS: Sequential mixed methodology combined analysis of surveys and in-depth interviews. Between and within-group differences in views of telemedicine were examined for patients and clinicians using t-tests. RESULTS: Surveys (patients n = 1340, clinicians n = 111) and interviews (patients n = 31, clinicians n = 29) were completed between April 2021 and July 2021. The majority of patients were from the UK (96%) and had inflammatory arthritis (32%) or lupus (32%). Patients and clinicians rated telemedicine as worse than face-to-face consultations in almost all categories, although >60% found it more convenient. Building trusting medical relationships and assessment accuracy were great concerns (93% of clinicians and 86% of patients rated telemedicine as worse than face-to-face for assessment accuracy). Telemedicine was perceived to have increased misdiagnoses, inequalities and barriers to accessing care. Participants reported highly disparate telemedicine delivery and responsiveness from primary and secondary care. Although rheumatology clinicians highlighted the importance of a quick response to flaring patients, only 55% of patients were confident that their rheumatology department would respond within 48 hours. CONCLUSION: Findings indicate a preference for face-to-face consultations. Some negative experiences may be due to the pandemic rather than telemedicine specifically, although the risk of greater diagnostic inaccuracies using telemedicine is unlikely to be fully resolved. Training, choice, careful patient selection, and further consultation with clinicians and patients is required to increase telemedicine's acceptability and safety. TRIAL REGISTRATION: This telemedicine study is part of a pre-registered longitudinal multi-stage trial, the LISTEN study (ISRCTN-14966097), with later Covid-related additions registered in March 2021, including a pre-registered statistical analysis plan.


Subject(s)
COVID-19 , Rheumatology , Telemedicine , COVID-19/epidemiology , Humans , Pandemics , Surveys and Questionnaires , Telemedicine/methods
5.
Rheumatology (Oxford) ; 60(4): 1902-1909, 2021 04 06.
Article in English | MEDLINE | ID: covidwho-1048423

ABSTRACT

OBJECTIVES: To quantify the risk of death among people with rare autoimmune rheumatic diseases (RAIRD) during the UK 2020 COVID-19 pandemic compared with the general population, and compared with their pre-COVID risk. METHODS: We conducted a cohort study in Hospital Episode Statistics for England from 2003 onwards, and linked data from the NHS Personal Demographics Service. We used ONS published data for general population mortality rates. RESULTS: We included 168 691 people with a recorded diagnosis of RAIRD alive on 1 March 2020. Their median age was 61.7 (IQR 41.5-75.4) years, and 118 379 (70.2%) were female. Our case ascertainment methods had a positive predictive value of 85%. A total of 1815 (1.1%) participants died during March and April 2020. The age-standardized mortality rate (ASMR) among people with RAIRD (3669.3; 95% CI: 3500.4, 3838.1 per 100 000 person-years) was 1.44 (95% CI: 1.42, 1.45) times higher than the average ASMR during the same months of the previous 5 years, whereas in the general population of England it was 1.38 times higher. Age-specific mortality rates in people with RAIRD compared with the pre-COVID rates were higher from the age of 35 upwards, whereas in the general population the increased risk began from age 55 upwards. Women had a greater increase in mortality rates during COVID-19 compared with men. CONCLUSION: The risk of all-cause death is more prominently raised during COVID-19 among people with RAIRD than among the general population. We urgently need to quantify how much risk is due to COVID-19 infection and how much is due to disruption to health-care services.


Subject(s)
Autoimmune Diseases , COVID-19/mortality , Autoimmune Diseases/classification , Autoimmune Diseases/diagnosis , Autoimmune Diseases/mortality , COVID-19/therapy , Cause of Death , Cohort Studies , England/epidemiology , Female , Humans , Male , Middle Aged , Mortality , Needs Assessment , Prognosis , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , SARS-CoV-2/isolation & purification , Sex Factors , State Medicine/statistics & numerical data
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