Long-term gastrointestinal and hepatobiliary outcomes of COVID-19: A multinational population-based cohort study from South Korea, Japan, and the UK
Article information
Abstract
Background/Aims
Considering emerging evidence on long COVID, comprehensive analyses of the post-acute complications of SARS-CoV-2 infection in the gastrointestinal and hepatobiliary systems are needed. We aimed to investigate the impact of COVID-19 on the long-term risk of gastrointestinal and hepatobiliary diseases and other digestive abnormalities.
Methods
We used three large-scale population-based cohorts: the Korean cohort (discovery cohort), the Japanese cohort (validation cohort-A), and the UK Biobank (validation cohort-B). A total of 10,027,506 Korean, 12,218,680 Japanese, and 468,617 UK patients aged ≥20 years who had SARS-CoV-2 infection between 2020 and 2021 were matched to non-infected controls. Seventeen gastrointestinal and eight hepatobiliary outcomes as well as nine other digestive abnormalities following SARS-CoV-2 infection were identified and compared with controls.
Results
The discovery cohort revealed heightened risks of gastrointestinal diseases (HR 1.15; 95% CI 1.08–1.22), hepatobiliary diseases (HR 1.30; 95% CI 1.09–1.55), and other digestive abnormalities (HR 1.05; 95% CI 1.01–1.10) beyond the first 30 days of infection, after exposure-driven propensity score-matching. The risk was pronounced according to the COVID-19 severity. The SARS-CoV-2 vaccination was found to lower the risk of gastrointestinal diseases but did not affect hepatobiliary diseases and other digestive disorders. The results derived from validation cohorts were consistent. The risk profile was most pronounced during the initial 3 months; however, it persisted for >6 months in validation cohorts, but not in the discovery cohort.
Conclusions
The incidence of gastrointestinal disease, hepatobiliary disease, and other digestive abnormalities increased in patients with SARS-CoV-2 infection during the post-acute phase.
Graphical Abstract
INTRODUCTION
The coronavirus disease 2019 (COVID-19) pandemic is a global threat that has challenged the world population and healthcare systems since December 2019 [1]. Although the World Health Organization declared an end to COVID-19 as a public health emergency, over 760 million people who recovered from acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection still live with a wide range of symptoms that last weeks, months, or even years after the initial infection [2]. Emerging evidence suggests that various health consequences persist or develop after 4 weeks from SARS-CoV-2 infection which is known as the post-acute phase. This condition is frequently referred to as “long COVID” to describe the long-term adverse effects of COVID-19 [3].
As COVID-19 is a systemic inflammatory disease, extrapulmonary manifestations are common during the acute phase of infection [3]. Previous studies have indicated that gastrointestinal manifestations, including nausea or vomiting, were present in 12–61% of patients with acute SARSCoV-2 infections [4]. Furthermore, hepatobiliary damage, such as abnormality of liver chemistry, was observed in 14–53% of hospitalized patients with COVID-19 and was associated with severity of disease [4]. Persistent symptoms or new-onset disorders after an acute infection involving the gastrointestinal system are frequently encountered in clinical practice. For example, post-infectious irritable bowel syndrome is characterized by chronic digestive symptoms despite the clearance of acute gastroenteritis [5]. One of the potential mechanisms implicated in this phenomenon is disruption of intestinal permeability and gut microbiota [5]. Considering the portal circulation connecting digestive tract and hepatobiliary system and the importance of gut microbiome in maintaining immune homeostasis of hepatobiliary systems, it is plausible that post-acute phase of COVID-19 can affect the digestive system [5]. Several studies have demonstrated the impact of long COVID on digestive outcomes [6-8]. However, the long-term effects of COVID-19 on gastrointestinal and hepatobiliary consequences were not conclusively determined, considering the limited number of patients and lack of robust validation of the previous studies. Therefore, more comprehensive information is required to accurately assess the risk of digestive disorders in patients who have recovered from acute SARS-CoV-2 infection.
From large-scale multinational population-based registries comprising >22 million participants from South Korea, Japan, and the UK, we aimed to examine the incidence of digestive disorders on long COVID. Digestive disorders encompass all organs and relevant symptoms of the digestive system and were classified as gastrointestinal disease, hepatobiliary disease, and other digestive abnormalities. For reassurance of data validity, the risk of primary outcomes was evaluated according to vaccination status and time span.
MATERIALS AND METHODS
Data sources
We used three nationwide population-based cohorts for this study: a Korean claim-based cohort (K-COV-N cohort; main cohort; n=10,027,506), a Japanese claim-based cohort (JMDC cohort; replication cohort A; n=12,218,680), and a prospective cohort from the UK Biobank (UKB cohort; replication cohort B; n=468,617). The study was approved by Kyung Hee University (KHSIRB-23-241), the Korea Disease Control and Prevention Agency (KDCA), the National Health Insurance Ser vice (NHIS; KDCANHIS-2022-1-632), JMDC (PHP-00002201-04), and UKB (94075). The requirement for written informed consent was waived because all personal identifiers in the administrative data were anonymized.
K-COV-N cohort (main cohort)
The K-COV-N cohort is a population-based cohort in South Korea conducted by the NHIS of South Korea, KDCA, and Korea National Statistical Office (Supplementary Table 1) [9]. The K-COV-N contains a comprehensive set of information regarding COVID-19 (results of diagnostic tests, vaccination status, and clinical outcomes), national health examinations, healthcare access (outpatient and inpatient), and death. The International Classification of Diseases, Tenth Revision (ICD-10) was used for disease categorization, and the overall positive predictive value of the diagnosis code was 82% in the South Korean health insurance claims database [10]. The registry was described in detail previously. Several distinctive features were observed in this cohort. First, it was conducted within the framework of the comprehensive healthcare system established by the Korean government, which extended its coverage to include complementary healthcare services for individuals diagnosed with COVID-19. Second, the study relied on data derived from the national COVID-19-related registry, which was meticulously built by the KDCA. Finally, to uphold the principles of confidentiality and protect the privacy of individuals involved, the Korean government has adopted measures to anonymize patient-related information [9].
The study sample comprised participants aged ≥20 years registered between January 1, 2018, and December 31, 2021. To focus on patients with long COVID, we structured the data starting from January 1, 2018, to exclude individuals with a history of gastrointestinal disease, hepatobiliary disease, or other digestive abnormalities in the lookback period (2018–individual index data) or within 30 days of SARS-CoV-2 infection; those with insufficient information on socioeconomic status; and those with co-infection or reinfection with COVID-19 (excluded n=3,004,933).
JMDC cohort (validation cohort A) and UKB cohort (validation cohort B)
Primary exposure, ICD-10 codes for defining outcomes, observational periods, and statistical methods used in the discovery cohort were consistently applied to the validation cohorts, except for the vaccination records which were not available in validation cohorts A and B. In addition, detailed descriptions of the JMDC cohort and UKB cohort are provided in the Supplementary Methods. Finally, a 1:4 propensity score matching was conducted for validation cohorts A and B, resulting in their alignment.
Study participants and individual index date
The study populations comprised patients (≥20 years of age) with SARS-CoV-2 infection and non-infected individuals, which were randomly selected as controls. To reduce immortal time bias, we assigned an individual index date as the date of the first diagnosis of COVID-19 in patients with COVID-19, or as the matched date of the corresponding infected case in non-infected individuals.
Exposures and outcomes
SARS-CoV-2 infections were defined as exposure and confirmed through real-time reverse transcriptase polymerase chain reaction assays or antigen testing of nasal and pharyngeal swabs, following the guidelines of the World Health Organization [11]. The primary outcome of the study was the development of 17 gastrointestinal diseases, 8 hepatobiliary diseases, and 9 other digestive abnormalities in adults (≥20 years of age), defined as at least one claim after 30 days of the index date (Supplementary Table 1). Outcomes were also defined using ICD-10 codes (Supplementary Table 2) [6]. In addition, a gastroenterologist with more than 5 years of clinical experience (KL) and a hepatologist with more than 10 years of clinical experience (YH) reviewed and selected the ICD codes for this study.
Covariates (Supplementary Appendix P52)
SARS-CoV-2 vaccination and severity
In the main cohort, information on SARS-CoV-2 vaccination status was obtained according to national COVID-19-related registry data from the KDCA. Individuals received either mRNA vaccines (BNT162b2 [Pfizer-BioN Tech] and mRNA-1273 [Moderna]) or viral vector vaccines (ChAdOx1-S [Oxford-AstraZeneca] and Ad26.COV2-S [Johnson & Johnson/Janssen]). Individuals who received a single dose of the Ad26.COV2-S vaccine were considered to have received two doses.
According to KDCA guidelines COVID-19 severity was classified based on the level of medical intervention: patients admitted to intensive care units or those who required oxygen therapy, extracorporeal membrane oxygenation, renal replacement, or cardiopulmonary resuscitation within 14 days of infection were considered to have moderate- to-severe COVID-19, while others were classified as having mild COVID-19 [12-14].
Propensity score matching
To adjust for potential confounders, we used 1:5 exposure-driven propensity score matching to achieve a covariate balance across SARS-CoV-2 infected and uninfected groups. Greedy nearest-neighbor matching with random selection without replacement using a caliper of 0.001 standard deviations was implemented, and all covariates were matched; however, hospital admissions and outpatient contacts in the year before index date were excluded because an index date was not matched [15]. Standardized mean differences (SMDs) below 0.1 indicate no major imbalance.
Statistical analysis
To compare the primary outcomes (17 gastrointestinal diseases, 8 hepatobiliary diseases, and 9 other digestive abnormalities) between the two groups (patients with SARS-CoV-2 infection versus uninfected participants), Cox regression analysis was performed with the uninfected group as the reference. The results are reported as hazard ratios (HRs) and 95% confidence intervals (CIs). Discretetime Cox regression was used to analyze the changes in risk of digestive disorders over time (<3, 3–6, and ≥6 months) to reduce reverse causality. These analyses were repeated for validation cohorts A and B.
We conducted a subgroup analysis based on the number of SARS-CoV-2 vaccinations (without, 1 time, and ≥2 times) and severity of COVID-19 (mild and moderate to severe). Furthermore, the groups were stratified according to age, sex, household income, CCI score, BMI group, alcohol consumption, aerobic physical activity, smoking status, region of residence, and SARS-CoV-2 strain. The diagnosis of SARS-CoV-2 infection was categorized as infection with the original strain until July 31, 2021 and delta variants from August 1, 2021, to December 31, 2021 [12,16]. We provided justification and representative population of the statistical analyses in Supplementary Tables 1 to 3. We conducted alternative cohort with a more stringent definition (outcomes were defined using ICD-10 codes with ≥2 claims by a patient within 1 year). All statistical analyses were performed using the SAS statistical software (version 9.4; SAS Institute Inc., Cary, NC, USA). Statistical significance was set at two-sided P<0.05.
RESULTS
Baseline characteristics
The baseline characteristics of the individuals before propensity score matching show that the discovery cohort comprised 10,027,506 individuals (mean age 48.4 years; 49.9% female), as presented in Supplementary Tables 4 to 6. After applying the exclusion criteria and propensity score matching (Fig. 1), we identified 90,399 patients with COVID-19 (mean age, 46 years; 57.7% male) and 386,787 noninfected individuals (mean age, 47 years; 58.3% male) in the discovery cohort (Table 1). The final sample sizes after matching were 2,654,945, with a mean age of 43.26 years and 64.16% male, comprising 602,058 patients with COVID-19 and 2,052,887 non-infected individuals for validation cohort A (Supplementary Table 7) and 322,920 (75,814 patients with COVID-19 versus 247,106 non-infected individuals) for validation cohort B (Supplementary Table 8). The density and box plots of the three nationwide cohorts before and after matching are presented in Supplementary Figures 1 to 3. After matching, no significant differences were identified in the controlled covariates in the discovery cohort (all SMDs <0.1).
Incidence of gastrointestinal disease
HRs were calculated using two methods: adjusted for age and sex (Model 1) and maximally adjusted for all variables (Model 2). Model 2 was used to present the results. In all three cohorts, we identified a higher risk of gastrointestinal disease (HR 1.15; 95% CI 1.08–1.22; discovery cohort) in individuals who had acute SARS-CoV-2 infection than non-infected individuals (Table 2). Specifically, the incidence of gastroesophageal reflux disease (GERD; HR 1.36; 95% CI 1.18–1.56), and functional intestinal disorders (HR 1.21; 95% CI 1.00–1.47) was significantly increased during the post-acute phase of SARS-CoV-2 infection (Supplementary Table 9). We found that SARS-CoV-2 infection was consistently associated with a higher risk of GERD, and functional intestinal disorders in validation cohort A (Supplementary Table 10). Additionally, in an alternative cohort where a more stringent definition was applied, we observed similar patterns (Supplementary Tables 11 and 12).
Incidence of hepatobiliary disease
SARS-CoV-2 infection was associated with a higher risk of developing hepatobiliary disease after 30 days of initial diagnosis in the discovery cohort (HR 1.30; 95% CI 1.09– 1.55), as well as in validation cohorts A and B (Table 2). In particular, the HR for the inflammatory liver disease was 1.73 (95% CI 1.31–2.26) during the post-acute phase of COVID-19 (Supplementary Table 9). A significant correlation between COVID-19 and incidence of inflammatory liver disease was also identified in the validation cohort A (HR 1.62; 95% CI 1.56–1.69; Supplementary Table 10). Additionally, in an alternative cohort where a more stringent definition was applied, we observed similar patterns (Supplementary Tables 11 and 12).
Incidence of other digestive abnormalities
The risk of other digestive abnormalities was higher in those with SARS-CoV-2 infection than in the non-infected individuals in the discovery cohort (HR 1.05; 95% CI 1.01– 1.10), validation cohort A (HR 2.08; 95% CI 2.05–2.12), and validation cohort B (HR 1.06; 95% CI 1.00–1.12; Table 2). The risk of developing symptoms of ‘nausea, vomiting, and dysphagia’ following SARS-CoV-2 infection was significantly higher in the discovery cohort than in the other cohorts (HR 1.28; 95% CI 1.17–1.40; Supplementary Table 9). Analysis of the validation cohort A revealed consistent results (HR for ‘nausea, vomiting, and dysphagia’ 2.58; 95% CI 2.51–2.64; Supplementary Table 10). Additionally, in an alternative cohort where a more stringent definition was applied, we observed similar patterns (Supplementary Tables 11–18).
Supplementary analyses
Vaccination status and severity of SARS-CoV-2 infection
We observed differences in the incidence of digestive disorders when the data were stratified according to vaccination status (Table 3). Patients with COVID-19 who received two or more vaccines had a 43% decreased risk of developing gastrointestinal diseases (HR 0.57; 95% CI 0.47–0.70). By contrast, no significant difference was observed in the risk for hepatobiliary disease during the postacute phase of COVID-19 across vaccination doses. In addition, patients with COVID-19 who received two or more vaccines had slight increased risk of developing other digestive abnormalities (HR 1.12; 95% CI 1.01–1.24).
Regarding the severity of COVID-19, a 66% higher risk of developing gastrointestinal disease (HR 1.66; 95% CI 1.47– 1.87) was observed for patients with moderate-to-severe COVID-19 compared with non-infected individuals (Table 3). The risk of hepatobiliary disease was more than two times higher in those with moderate-to-severe infection than in those without COVID-19 (HR 2.34; 95% CI 1.75–3.12). Similar results were observed for other digestive abnormalities; having moderate-to-severe COVID-19 was correlated with a higher risk than non-infection (HR 1.43; 95% CI 1.30– 1.58).
Time attenuation effect
The primary clinical outcomes stratified by group are listed in Table 4. Persistent effect was observed even after 6 months of initial SARS-CoV-2 infection for gastrointestinal disease (HR 1.17; 95% CI 1.01–1.36). Meanwhile, adverse hepatobiliary outcomes following SARS-CoV-2 infection were significantly higher only within 3 months of initial infection (HR 1.36; 95% CI 1.06–1.73) and other digestive abnormalities (HR 1.07; 95% CI 1.00–1.14). The risk of developing gastrointestinal and hepatobiliary diseases as well as other digestive abnormalities was persistently and significantly higher over time in validation cohort A and validation cohort B.
Subgroup analysis
DISCUSSION
Key findings
In this multinational population-based cohort study, we investigated the incidence of gastrointestinal and hepatobiliary disorders and other digestive abnormalities >30 days after SARS-CoV-2 infection. Digestive disorders encompass a comprehensive spectrum of relevant diseases and symptoms and are categorized into gastrointestinal diseases, hepatobiliary diseases, and other digestive abnormalities. This study had several major findings. We identified an increased risk for incident gastrointestinal diseases (such as gastroesophageal reflux disease, functional intestinal disorders, and gastritis and duodenitis), hepatobiliary diseases (such as inflammatory liver diseases), and other digestive abnormalities (such as nausea, vomiting, and dysphagia) in patients with long COVID compared with uninfected control individuals. The risk was pronounced according to the COVID-19 severity. SARS-CoV-2 vaccination reduced the risk of gastrointestinal diseases but not hepatobiliary diseases and other digestive abnormalities. Over time, the risk profile was most pronounced during the initial 3 months; however, it persisted for >6 months in validation cohorts A and B, but not in the discovery cohort.
Plausible mechanism and comparison with previous studies
Evidence indicates that SARS-CoV-2 can directly and indirectly affect the digestive system, including the gastrointestinal and hepatobiliary tracts [17-20]. The potential mechanisms of damage to the digestive system during and after SARS-CoV-2 infection might include increase in intestinal permeability and altered gut microbiota, thus disrupting immune homeostasis [21-23]. Accordingly, the clinical impact of acute SARS-CoV-2 infection on digestive disorders has been demonstrated in previous studies during the COVID-19 pandemic [17,19,24]; however, the evidence was insufficient in patients who recovered from acute infection, despite persistent or new-onset digestive disorders that many of these patients experience. We hypothesized that the risk of digestive disorders after the acute phase (>30 days) of SARS-CoV-2 infection differs between infected and non-infected individuals. Some studies have previously assessed the incidence of digestive outcomes in patients who recovered from acute COVID-19 [6]. A meta-analysis of ten studies (until 2022) identified an increased risk of irritable bowel syndrome during the post-acute phase of COVID-19 [25]; however, the results cannot be generalizable considering the limited number of patient population and primary outcomes that were evaluated, relatively short duration of follow-up, as well as the lack of external validation of these studies.
Our analysis included a large number of individuals from multinational population-based cohorts, observed the incidence of outcomes for longer periods of time (>6 months), and used a comprehensive list of ICD-10 code-based digestive diseases and abnormalities. We set the observation period to assess the time-attenuation effect at 3 and 6 months, in accordance with a previous study on long COVID and functional gastrointestinal disorders [25]. In the discovery cohort from South Korea, the risk persisted for three months. However, in the cohorts from Japan and the UK, the increased risk persisted for ≥6 months. These differences could be attributed to variations in culture and ethnicity among the countries [26-28]. We used robust and rigorous statistical methodologies to determine the validity and reliability of our findings. However, further analysis will be necessary to explore these differences in more detail. We used a robust and rigorous statistical methodology to determine the validity and reliability of our findings. Our findings were generally in accordance with those of previously published literature and therefore confirm that our study provides clinically valid estimates of the post-acute impact of COVID-19 on adverse digestive outcomes [6].
Limitations and strengths
Our study had some limitations. First, our data did not include the epidemic period of the Omicron variant. Second, outcome variables were defined from ICD-10 codes derived from nationwide registries. Although most of the codes used have been previously validated with high reliability, the possibility of misclassification exists, considering the differences in the primary outcomes among the three cohorts. Moreover, although the positive predictive values have been validated for most of the codes used, the negative predictive value has been studied less extensively [29]. The nationwide nature of the study population increases the generalizability of our findings; however, if systematic misclassification exists in patients not receiving the code yet having the disease, the validity of the study would decrease. Third, the observational nature of the study necessitates that the conclusions relate only to associations and not causal relations, although we analyzed the effect across a time span to reduce the risk of reverse causation. Fourth, although the study sample was assessed using hospital coding and pharmacy prescriptions, the proportion of comorbidities treated with lifestyle interventions might not have been identified. Fifth, exclusion of reinfected individuals hinders the detailed assessment of dose-response relationship. However, the risk of reinfection with SARSCoV-2 is very low, estimated to be around 0.3% [30]; therefore, such analysis might not be suitable for this dataset. Sixth, it is not completely determined whether the digestive outcomes were caused by COVID-19 per se or by medications, such as corticosteroids. Seventh, information on SARS-CoV-2 vaccination status was not available for validation cohorts A and B; therefore, analysis in this regard could not be performed. Eighth, claims data from Japan and South Korea were constructed without participant consent owing to single-payer healthcare systems; by contrast, the UK Biobank dataset was created through voluntary participation. Despite the diversity of these datasets, demonstrating similar outcomes enhances the reproducibility of our findings. Nineth, the prevalence of each disease varies among countries. However, when considering the specific characteristics of each country, similar outcomes related to long COVID were evident. This indicates the generalizability of our findings across multiple countries. Tenth, although all potential covariates were adjusted for in the analyses, the possibility of residual potential confounders such as dietary patterns cannot be excluded [31]. Furthermore, original viral strain and delta were inferred by the timing of confirmed infection, without biological evidence confirming the strain. Lastly, monitoring patients with COVID-19 could result in higher rate of referral and detection of digestive disorder outcomes compared to the general population. To address potential detection biases related to differential healthcare access, baseline risk differences, and outcome ascertainment between patients with COIVD-19 and general population, we used several strategies. These included external validation of our findings in other national cohorts to enhance reliability and offset potential issues with digestive disorder diagnosis codes; confirmation of consistent trends even with diverse definition conditions by altering the conditions of the ICD codes; ensuring consistent association by altering the conditions of ICD codes; and considering and adjusting for hospital admissions and outpatient contacts before the index date to balance healthcare-seeking behaviors between groups. Despite these efforts, detection biases cannot be entirely ruled out. However, due to our robust methodology and extensive supplementary analyses, we expect the impact of these biases has been mitigated. Further research, including prospective cohort studies, is necessary to corroborate our findings.
Despite these limitations, to the best of our knowledge, this is the first study to provide comprehensive evidence of the differences in digestive disorders, including gastrointestinal and hepatobiliary diseases as well as other digestive abnormalities, during the post-acute phase of SARSCoV-2 infection. Stratified analyses based on vaccination status further intensified the impact of our study. Based on our study, the burden of digestive disorders may continue to increase even after the end of the COVID-19 pandemic. Vaccination against SARS-CoV-2 should be advised to the general population not only to prevent COVID-19 per se but also to reduce the risk of developing subsequent digestive disorders during the post-acute phase. Our study could help clinicians provide patient guidance regarding the impact of SARS-CoV-2 vaccination on the long-term digestive outcomes and could facilitate clinical decision on performing further blood and/or imaging tests. For greater generalizability, our results should be reproduced across other racial groups. To strengthen the findings of our study, additional studies using other infections as comparators are required. In addition, further research on COVID-19-reinfected patients is necessary to elucidate the risk of reinfection.
In conclusion, in this multinational population-based cohort study, we identified an increased risk of gastrointestinal and hepatobiliary diseases as well as other digestive abnormalities in patients with long COVID compared with uninfected control individuals. The risk was pronounced according to the COVID-19 severity. The SARS-CoV-2 vaccination was shown to reduce the risk of gastrointestinal diseases but had no impact on hepatobiliary diseases or other digestive disorders. Over time, the risk profile was most pronounced during the initial 3 months; however, it persisted for >6 months in validation cohorts A and B, but not in the discovery cohort. Our findings underscore the importance of recognizing digestive disorders following recovery from COVID-19.
Notes
Authors’ contribution
Dr. DKY had full access to all data in the study and took responsibility for the integrity of the data and accuracy of the data analysis. All authors have approved the final version of the manuscript before submission. Study concept and design: KL, JP, JL, HL, YH, and DKY; Acquisition, analysis, and interpretation of data: KL, JP, JL, HL, YH, and DKY; Drafting of the manuscript: KL, JP, JL, HL, YH, and DKY; Critical revision of the manuscript for important intellectual content: all authors; Statistical analysis: KL, JP, JL, HL, YH, and DKY; Study supervision: DKY. DKY is the guarantor of this study. Kwanjoo Lee, Jaeyu Park, and Jinseok Lee contributed equally to this work as co-first authors. Hayeon Lee, Yeonjung Ha, and Dong Keon Yon contributed equally as co-corresponding authors. Dong Keon Yon is the senior author. The corresponding author attests that all listed authors meet the authorship criteria and that no others meeting the criteria have been omitted.
Conflicts of Interest
The authors have no conflicts to disclose.
Acknowledgements
This study used the database of the Korea Disease Control and Prevention Agency (KDCA) and the National Health Insurance Service (NHIS) for policy and academic research. The research number of this study is KDCANHIS- 2022-1-632.
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT; RS-2023-00248157) and the MSIT (Ministry of Science and ICT), South Korea, under the ITRC (Information Technology Research Center) support program (IITP-2024-RS-2024-00438239) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation). The funders played no role in the study design, data collection, data analysis, data interpretation, or manuscript writing.
SUPPLEMENTAL MATERIAL
Supplementary material is available at Clinical and Molecular Hepatology website (http://www.e-cmh.org).
Study protocol and statistical code: Available to interested readers by contacting Prof. Dong Keon Yon at yonkkang@ gmail.com. Data set: Available from the National Health Insurance Service of South Korea (K-COV-N cohort; https://nhiss.nhis.or.kr/bd/ab/bdaba000eng.do), JMDC (JMDC cohort; https://www.jmdc.co.jp/en/jmdc-claims-database/), and UKB (https://www.ukbiobank.ac.uk/) through a data use agreement.
Abbreviations
BMI
body mass index
CCI
Charlson Comorbidity Index
CI
confidence interval
COVID-19
coronavirus disease 2019
HR
hazard ratio
ICD
International Classification of Diseases
KDCA
Korea Disease Control and Prevention Agency
NHIS
National Health Insurance Service
SARS-CoV-2
severe acute respiratory syndrome coronavirus 2
SMD
standardized mean difference
References
Article information Continued
Notes
Study Highlights
• We identified an increased risk for incident gastrointestinal diseases, hepatobiliary diseases, and other digestive abnormalities in patients with long COVID compared with uninfected control individuals.
• The risk was pronounced according to the COVID-19 severity.
• SARS-CoV-2 vaccination reduced the risk of gastrointestinal diseases but not hepatobiliary diseases and other digestive abnormalities.
• Over time, the risk profile was most pronounced during the initial 3 months.