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1.
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.

2.
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
3.
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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