UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000051287
Receipt number R000058475
Scientific Title Association of COVID-19 with the development of autoimmune diseases in Japan; a retrospective cohort study
Date of disclosure of the study information 2023/12/01
Last modified on 2024/12/06 10:06:44

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Basic information

Public title

Association of COVID-19 with the development of autoimmune diseases in Japan

Acronym

Association of COVID-19 with the development of autoimmune diseases in Japan

Scientific Title

Association of COVID-19 with the development of autoimmune diseases in Japan; a retrospective cohort study

Scientific Title:Acronym

Association of COVID-19 with the development of autoimmune diseases in Japan

Region

Japan


Condition

Condition

COVID-19

Classification by specialty

Clinical immunology

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

To investigate whether COVID-19 increases the risk of developing autoimmune diseases, we analyzed data from an electronic medical records database in Japan.

Basic objectives2

Others

Basic objectives -Others

This study is an exploratory study that aims to investigate the association between viral infections wand autoimmune diseases.

Trial characteristics_1

Exploratory

Trial characteristics_2

Pragmatic

Developmental phase

Not applicable


Assessment

Primary outcomes

The primary outcomes will be the development of the following autoimmune diseases;
Rheumatoid arthritis, systemic lupus erythematosus, mixed connective tissue disease, systemic sclerosis, Sjogren's syndrome, dermatomyositis/polymyositis, IgG4-related disease, polymyalgia rheumatica, antiphospholipid syndrome, ANCA-associated vasculitis, Hashimoto's thyroiditis, Graves' disease, Behcet's disease, inflammatory bowel disease, psoriasis, and type 1 diabetes.

Key secondary outcomes

- The laboratory characteristics at the time of the development of autoimmune diseases.
- The risk of developing autoimmune diseases due to epidemic strains of SARS-CoV-2, such as alpha, delta, and omicron.
- The association between COVID-19 severity and the development of autoimmune diseases.


Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit


Not applicable

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

[COVID-19]
1. Subjects with the first COVID-19 diagnosis from Jan 16, 2020, to Dec 31, 2022. The diagnosis date for COVID-19 is Day 0.
2. Subjects with 180 days of a lookback period and at least one visit between Day -180 and Day -1.
3. Subjects with at least one after Day 0.
[Control]
1. Subjects will be sampled from all patients in the RWD-DB based on visit year-month, age(+-2 years), and sex, with a sampling ratio of up to 1:10. Day 0 for the control subjects will match the corresponding COVID-19 subject's Day 0.
2. Subjects without a diagnosis of COVID-19 on or before Day 0
3. Subjects with 180 days of a lookback period and at least one visit between Day -180 and Day -1.
4. Subjects with at least one after Day 0.

Key exclusion criteria

Not applicable

Target sample size

90000


Research contact person

Name of lead principal investigator

1st name Shoichiro
Middle name
Last name Inokuchi

Organization

Real World Data, Co., Ltd.

Division name

Research and Analytics

Zip code

600-8233

Address

Shiseido Kyoto Bld.4F, 480, Aburanokojidori, Kizuyabashi-sagaru, Kitafudondocho, Shimogyo-ku, Kyoto, Kyoto, Japan

TEL

+81-75-748-0742

Email

sho_inokuchi1986@yahoo.co.jp


Public contact

Name of contact person

1st name Shoichiro
Middle name
Last name Inokuchi

Organization

Real World Data, Co., Ltd.

Division name

Research and Analytics

Zip code

600-8233

Address

Shiseido Kyoto Bld.4F, 480, Aburanokojidori, Kizuyabashi-sagaru, Kitafudondocho, Shimogyo-ku, Kyoto,

TEL

+81-75-748-0742

Homepage URL


Email

sho_inokuchi1986@yahoo.co.jp


Sponsor or person

Institute

Real World Data, Co., Ltd.

Institute

Department

Personal name



Funding Source

Organization

Real World Data, Co., Ltd.

Organization

Division

Category of Funding Organization

Profit organization

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

N/A

Address

N/A

Tel

N/A

Email

N/A


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2023 Year 12 Month 01 Day


Related information

URL releasing protocol

Undisclosed

Publication of results

Published


Result

URL related to results and publications

https://journals.lww.com/jclinrheum/fulltext/2024/03000/persistent_risk_of_developing_autoimmune_dis

Number of participants that the trial has enrolled

90855

Results

A total of 90,855 COVID-19 and 459,827 non-COVID-19 patients were included between January 16, 2020, and December 31, 2022. The relative risk of any autoimmune disease was 2.32 (95% confidence interval, 2.08-2.60).

Results date posted

2024 Year 12 Month 06 Day

Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics

We identified 258,787 patients who received a COVID-19 diagnosis from January 16, 2020, to December 31, 2022, in the RWD-DB. Among them, 90,855 met the eligibility criteria. In addition, as a non-COVID-19 comparison group, we randomly sampled 897,259 patients, including 459,827 eligible patients. The mean age was 61.3 years (standard deviation [SD], 24.1) for the COVID-19 group and 64.7 years (SD, 21.5) for the non-COVID-19 group. Female patients accounted for 51.1% of the COVID-19 group and 50.6% of the non-COVID-19 group.

Participant flow

The population in the COVID-19 group included patients who received a confirmed diagnosis of COVID-19 (ICD-10 [Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems] code U071) between January 16, 2020 (date of the first case of COVID-19 in Japan) and December 31, 2022. The diagnosis date was considered day 0. Patients were required to have medical records available before day -180 and between day -180 and day -1. Patients with 1 or more medical records after day 0 were included in the analysis.
To create a non-COVID-19 group, patients were randomly selected from the entire RWD-DB and matched based on age, sex, and visit year-month. This process was performed at a ratio of 1:10, meaning that for every COVID-19 case, up to 10 patients were sampled in the group. The first visit date within the corresponding month of the year was designated day 0. The patients were required to have no COVID-19 diagnosis before day 0, and medical records were available before day -180 and from day -180 to day -1. Finally, we included patients with 1 or more medical records after day 0.

Adverse events

Not applicable

Outcome measures

The RRs of the autoimmune diseases were investigated using a standardized mortality ratio weighting-based Cox proportional hazards model. The standardized mean difference was well-balanced in the weighted pseudopopulation. The outcome of any autoimmune disease showed a significant risk in the COVID-19 group (RR [95% CI], 2.32 [2.08-2.60]). All the specific autoimmune diseases investigated demonstrated a significantly high risk of developing autoimmune diseases associated with COVID-19. The sensitivity analysis, in which the follow-up period started from day 61, slightly decreased the risk but yielded similar results, confirming the robustness of our findings.

Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Completed

Date of protocol fixation

2022 Year 05 Month 02 Day

Date of IRB

2023 Year 05 Month 02 Day

Anticipated trial start date

2023 Year 05 Month 02 Day

Last follow-up date

2023 Year 05 Month 02 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

This study is a retrospective cohort study using Japanese electronic medical records database.
Due to the use of an anonymized, pre-existing database, IRB approval was waived.


Management information

Registered date

2023 Year 06 Month 07 Day

Last modified on

2024 Year 12 Month 06 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000058475