Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada
by
, , , , ,
Héctor Alexander Velásquez García
1,2,†,
Prince A. Adu
1,3,*,†,
Ada Okonkwo-Dappa
4,
Jean Damascene Makuza
1,2,
Georgine Cua
1,2,
Mawuena Binka
2,
James Wilton
1,
Hind Sbihi
1 and
Naveed Z. Janjua
1,2,5,* 1
British Columbia Centre for Disease Control, Vancouver, BC V5Z 4R4, Canada
2
School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
3
Department of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University, Dublin, OH 43016, USA
4
Department of Family Practice, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
5
Centre for Advancing Health Outcomes, St. Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Viruses 2024, 16(3), 351; https://doi.org/10.3390/v16030351
Submission received: 10 January 2024
/
Revised: 16 February 2024
/
Accepted: 20 February 2024
/
Published: 24 February 2024
(This article belongs to the Special Issue Aging and Comorbidities of COVID-19 2024)
Abstract
:We assessed the association between cirrhosis and severe COVID-19-related outcomes among people with laboratory-diagnosed COVID-19 infection in British Columbia, Canada. We used data from the British Columbia (BC) COVID-19 Cohort, a population-based cohort that integrates data on all individuals tested for COVID-19, with data on hospitalizations, medical visits, emergency room visits, prescription drugs, chronic conditions, and deaths in the Canadian province of BC. We included all individuals aged ≥18 who tested positive for SARS-CoV-2 by real-time reverse transcription-polymerase chain reaction from 1 January 2021 to 31 December 2021. Multivariable logistic regression models were used to assess the associations of cirrhosis status with COVID-19-related hospitalization and with ICU admission. Of the 162,509 individuals who tested positive for SARS-CoV-2 and were included in the analysis, 768 (0.5%) had cirrhosis. In the multivariable models, cirrhosis was associated with increased odds of hospitalization (aOR = 1.97, 95% CI: 1.58–2.47) and ICU admission (aOR = 3.33, 95% CI: 2.56–4.35). In the analyses stratified by age, we found that the increased odds of ICU admission among people with cirrhosis were present in all the assessed age-groups. Cirrhosis is associated with increased odds of hospitalization and ICU admission among COVID-19 patients.
1. Introduction
In 2020, the World Health Organization (WHO) declared the outbreak of coronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), to be a pandemic. As of March 2023, COVID-19 has led to over six million recorded deaths worldwide [1]. In British Columbia (BC), Canada’s third largest province by population size, 34,961 people required hospitalization for COVID-19, and over 5430 deaths have been reported as of 15 April 2023 [2]. COVID-19 viral infection in healthier individuals is more likely to manifest as a mild-to-moderate respiratory illness. In contrast, individuals with pre-existing illnesses and comorbidities may experience more severe outcomes [3,4,5].
People with cirrhosis may be at higher risk of severe outcomes. A study examining the rates of 30-day mortality in patients with cirrhosis and COVID-19 found that 96% of people with cirrhosis required hospitalization [6]. The causes of cirrhosis vary geographically, with people with chronic hepatitis C and non-alcoholic fatty liver disease (NAFLD) being the most common cases in western countries [7] and chronic hepatitis B being the primary cause of liver cirrhosis in the Asia-Pacific region [8]. Generally, people with cirrhosis develop immune dysfunction, making them particularly exposed to an elevated risk of infections and their associated complications [9], and have poorer outcomes from acute respiratory distress syndrome than patients who do not have cirrhosis [10]. Higher rates of liver dysfunction have also been reported among patients with severe COVID-19 [11].
Given the immunocompromised status of patients with cirrhosis, a better understanding of their risk factors for COVID-19 severe outcomes is critical for treatment and preventive efforts [11]. While there exists literature addressing the risk of COVID-19 outcomes in individuals with cirrhosis, the majority of these studies exhibit limitations, particularly in terms of sample size; a significant proportion of investigations on the subject have been constrained by relatively smaller cohorts (usually hospital-based), potentially influencing the generalizability of their findings. Moreover, a notable gap exists in the representation of North American perspectives within this body of work. Only a limited number of population-based studies have specifically delved into the context of North America, leaving a noteworthy gap in our understanding of how COVID-19 impacts individuals with cirrhosis in this region. Therefore, the aim of this study was to address this important knowledge gap. We assessed the association of cirrhosis with severe COVID-19-related outcomes among people with laboratory-diagnosed COVID-19 cases in British Columbia (BC).
2. Materials and Methods
2.1. Study Design and Data Sources
We used data from the BC COVID-19 Cohort (BCC19C)—a population-based surveillance platform established under the BC Centre for Disease Control (BCCDC)’s public health mandate. This platform integrates data on all individuals tested for COVID-19 in BC with data on COVID-19 hospital and intensive care unit admissions, medical visits, all hospitalizations, emergency room visits, chronic conditions, prescription drugs, and mortality (See Section S1 of the Supplementary Materials).
2.2. Study Population
The analyses included all individuals aged 18 or above who tested positive for SARS-CoV-2 by real-time reverse transcription–polymerase chain reaction (RT-PCR) from 1 January 2021 to 31 December 2021. We excluded individuals who resided in long term care facilities, as hospital transfers for these individuals were irregular over time and across local regions. The risk profiles of these individuals were also different from the general population.
2.3. Outcome and Exposure
We assessed two main outcomes of interest: hospitalization and intensive care unit (ICU) admission. Hospitalization was defined as a hospital admission in a BC acute care facility within 14 days after a positive SARS-CoV-2 test. ICU admission was defined as being admitted to the ICU during hospitalization within 14 days after a positive SARS-CoV-2 test. We assessed hospitalization in two ways: one that excludes ICU admission, and another that includes ICU admission to assess the severity gradient.
We considered cirrhosis to be the primary exposure. We also assessed the following comorbidities and risk factors: Alzheimer/dementia, asthma, acute myocardial infarction, chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), depression, diabetes (categorized as no-diabetes, treated without insulin, or requiring insulin), epilepsy, obesity, weight loss, parkinsonism, rheumatoid arthritis, injection drug use, alcohol misuse, cancer, immunosuppression, intellectual and developmental disabilities, schizophrenia and psychotic disorders, income (categorized as quintiles), COVID-19 vaccination status, SARS-CoV-2 variant of concern, age, sex, and regional health authority. The definitions and diagnostic codes used to identify the comorbidities are presented in Section S2 of the Supplementary Materials).
2.4. Statistical Analysis
We compared demographic characteristics and risk factors by COVID-19 severity (hospitalization and ICU admission status), and also by cirrhosis status. The associations of cirrhosis with hospitalization and with ICU admission were assessed by estimating odds ratios through multivariable logistic regression models. We then stratified these analyses by age-group.
We also repeated these analyses by including ICU cases in the hospitalization cases. For the models assessing ICU as outcome, we examined both ICU vs. non-hospitalization and ICU vs. hospitalization.
2.5. Ethical Approval
This study was reviewed and approved by the Research Ethics Board at the University of British Columbia (approval # H20-02097).
3. Results
3.1. Demographic Characteristics
Characteristics of the study population according to COVID-19 severity are presented in Table 1. Of the 162,509 individuals testing positive for SARS-CoV-2 who were included in the analysis, there were 6035 (94.7%) hospital admissions and 2511 (1.5%) ICU admissions. Overall, 768 (0.5%) had cirrhosis, 96,760 (59.5%) were not vaccinated, 17,199 (10.6%) were partially vaccinated, and 48,550 (29.9%) were fully vaccinated.
Among those who were hospitalized, 132 (2.2%) had cirrhosis, compared to 98 (3.9%) among those who were admitted to the ICU and 538 (0.3%) among those who were not hospitalized. The median ages were 38 years (IQR: 28–52) for all COVID-19 cases, 60 years (IQR: 44–73) for hospital admission, 60 years (IQR: 48–70) for individuals who were admitted to the ICU, and 37 years (IQR: 27–50) for individuals who had no hospitalization. A lower proportion of hospital admission cases (54.8%) were males, compared to the males who were admitted to the ICU (63.0%). Also, a greater proportion of hospital admission cases (30.4%) were in the lowest income quintile, compared to those admitted to the ICU (29.7%) and those with no hospitalization (18.8%).
A higher proportion of individuals who were admitted to the ICU had comorbidities, compared to those who either experienced only hospital admission or no hospitalization. For example, asthma (18.5% vs. 18.3% vs. 13.3%), lymphoma (2.3% vs. 1.9% vs. 0.5%), metastatic cancer (5.5% vs. 5.3 vs. 1.9%), chronic kidney disease (19.8% vs. 18.3% vs. 2.7%), COPD (10.6% vs. 10.1% vs. 1.4%), insulin-dependent diabetes (9.8% vs. 6.6% vs. 1.1%), non-insulin-dependent diabetes (18.4% vs. 17.0% vs. 5.1%), obesity (8.4% vs. 4.5% vs. 2.7%), hypertension (40.5% vs. 40.0% vs. 11.3%), and immunosuppression (7.6% vs. 6.1% vs. 2.3%) [Table 1]. The proportion who were unvaccinated was highest among ICU admissions (82.4%), followed by hospital admission cases (73.6%), compared to the non-hospitalized population (58.6%) [Table 1].
Characteristics of the study population according to cirrhosis status are presented in Table 2. Among those diagnosed with cirrhosis, 17.2% were hospitalized, 12.8% required admission to an ICU, and 70.1% did not require hospitalization. Individuals with cirrhosis had a higher median age [54 years (43–64)], compared to those with no cirrhosis [38 years (28–52)]. There was a higher proportion of people in the lowest income quantile among individuals with cirrhosis (34.9%), compared to those without cirrhosis (19.4%). Also, for most of the comorbidities that were assessed, a higher proportion of them were present among individuals with cirrhosis, compared to those without cirrhosis [Table 2].
3.2. Risk Factors Overall
In the adjusted models, cirrhosis was associated with increased odds of hospitalization (adjusted odds ratio [aOR] = 1.97, 95% CI: 1.58, 2.47) and ICU admission (aOR = 3.33, 95% CI: 2.56, 4.35) [Table 3; Figure 1]. For the model in which ICU admissions was compared with hospitalization cases (instead of no-hospitalization cases), the magnitude of association was slightly attenuated, although still significant (aOR = 1.84, 95% CI: 1.38, 2.46). Also, in the model in which hospitalization cases included ICU cases, the magnitude of association increased (aOR = 2.55, 95% CI: 2.11, 3.08) [Tables S2 and S3; Figure 1].
3.3. Cirrhosis and COVID-19 Severity by Age-Group
The increased odds of hospitalization among individuals with cirrhosis were greatest among the youngest age-group (18–49 years) (aOR = 2.65; 95% CI: 1.77–3.99), followed by the 50–69 age-group (aOR = 2.04; 95% CI: 1.50–2.78), and then the ≥70 age-group (aOR = 1.48; 95% CI: 0.90–2.46) [Table 3; Figure 1]. When we included ICU cases in the hospitalization cases, a similar trend was observed, although the effect sizes were increased (Tables S2–S4; Figure 1).
In a similar fashion, the increased odds of ICU admission among individuals with cirrhosis were greatest among the youngest age-group (18–49 years) (aOR = 6.81; 95% CI: 4.31–10.78), followed by the 50–69 age-group (aOR = 2.98; 95% CI: 2.08–4.27), and finally, the ≥70 age-group (aOR = 2.17; 95% CI: 1.13–4.17) [Table 3; Figure 1]. Although with attenuated effect sizes, a similar trend was observed when we made hospitalization cases the reference category, instead of no-hospitalization cases (Tables S5–S7).
4. Discussion
Despite the strong evidence supporting the associations between various comorbidities and poor COVID-19 prognosis, population-level evidence for the association between cirrhosis and COVID-19 severe outcomes remains an important knowledge gap. This large, provincial, population-based cohort study assessed the risk of COVID-19 severe outcomes among people with cirrhosis using data from confirmed COVID-19 cases from 1 January 2021 to 31 December 2021 in BC, Canada. Findings from our analysis indicate that individuals with cirrhosis faced elevated risks of both hospitalization and admission to the ICU, in the context of COVID-19 infection. Similar findings have been observed in other studies. In Chile, Díaz and colleagues found increased hospitalization (42.9% vs. 7.7% in the overall population) among patients with COVID-19 and underlying cirrhosis [12]. Their figures compare to the 12.2% hospitalization rate (excluding ICU admission) recorded in our study. Our ability to assess cirrhosis as an independent risk factor addresses the limitation in the Chilean study. Specifically, our findings showed that among individuals who have tested positive for COVID-19, those with cirrhosis had 97% and 223% greater risk of hospitalization and ICU admission, respectively, compared to individuals without cirrhosis.
Our findings are also consistent with a large cohort study in the U.K. which found that individuals with pre-existing conditions, including cirrhosis of the liver, had an increased risk of COVID-19-related hospitalization or death [13]. Marjot and colleagues also found that patients with cirrhosis had an increased risk of death from COVID-19 [4]. More recently, a study in the United States found that COVID-19-positive veterans with cirrhosis had increased risks of severe disease and death, compared to those who tested negative for COVID-19 and were living with cirrhosis [14]. Several other studies conducted in the U.S and Europe revealed higher rates of hospitalization and mortality among COVID-19 patients with chronic liver diseases [4,6,15].
We found that several demographic characteristics, including older age; male sex; low income level; the presence of many comorbidities, including cirrhosis; vaccination status; and specific COVID-19 variants of concern were significant risk factors for hospitalization and ICU admission, which was consistent with evidence from elsewhere [16,17].
In this study, we also examined the potential impact of age in the associations of cirrhosis and hospitalization and ICU admission, considered separately, by stratifying our analysis by age-groups. After age stratification, we found that the highest magnitude of association for cirrhosis and these outcomes was observed in the youngest age-group (18–49 age-group). For example, among this age-group, the odds of being admitted to the ICU following COVID-19 were 581% higher for individuals with cirrhosis, compared to those without cirrhosis. Although to a lower degree, this is similar to the 198% (for the 50–69 age-group) and 117% (for the 70+ age-group) increased odds of being admitted to the ICU during the first 14 days of SARS-CoV-2 infection seen in individuals with cirrhosis compared to those without it. The odds of hospitalization among individuals with cirrhosis followed a similar trend, although to a lesser degree. This observation may be attributed to the higher likelihood of substance use and concurrent HCV infection among younger individuals, exposing them to additional risks. In contrast, older individuals who have survived and subsequently developed cirrhosis later in life might be benefitting from various factors. For instance, they may experience a less severe disease progression and maintain stronger connections with the healthcare system, facilitating the management of both cirrhosis and COVID-related conditions.
Our findings provide evidence on the association between health disparities and inequities and COVID-19 health outcomes. Income level was significantly associated with increased hospitalization and ICU admission; the odds of ICU admission decreased with increasing income level. Of all the income quintiles, the highest (fifth) quintile had the least magnitude of association with both hospitalization and ICU admission. The health authority regions where individuals lived were also associated with hospitalization and ICU admission. Indeed, there were 87% and 65% increases in the odds of hospitalization and ICU admission, respectively, for adults living in the Northern health region of the province (relative to the Vancouver Coastal health region). This may be related to the health inequities in access to care in remote/rural areas. These inequities should be taken into consideration by policy makers, health care professionals, researchers, or other stakeholders when developing health prevention and promotion programs.
The increased susceptibility of individuals with cirrhosis to severe COVID-19 outcomes can be attributed to two key factors. Firstly, cirrhosis-induced immune dysfunction renders these patients more prone to infections and related complications, thereby amplifying their vulnerability to severe outcomes of disease, including COVID-19. Secondly, this population is more inclined to engage in injection drug use, which serves as an additional risk factor, further elevating their likelihood of experiencing severe outcomes related to COVID-19.
Our study had several strengths and limitations. The large sample-size of our study is a major strength. Having used a population-based cohort, we are confident of the representativeness and generalizability of our findings. Also, we were able to assess information on income level, as well as regional differences, which helped to assess the role of social determinants of health in the association between cirrhosis and COVID-19 outcomes. Although we consider this to be an important strength, income level could only be measured at the geographic level and not at the individual level. Also, our use of administrative health data limited our ability to consider other variables that may be relevant in this investigation, particularly race/ethnicity-based data and other information related to social determinants of health. Assessment of ethnic/racial disparities would be important given the higher prevalence of hepatitis B and C virus infections, diabetes, and other risk factors among various racial groups. Additional limitations include potential residual confounding and our inability to infer causation given the observational nature of our study design.
5. Conclusions
Our assessment indicates that cirrhosis is associated with increased odds of hospitalization and ICU admission among COVID-19 patients. This not only underscores the importance of understanding the implication of cirrhosis in the context of COVID-19 but also highlights the value of population-level studies in informing public health strategies and interventions. Given the links between cirrhosis, immune dysfunction, and elevated risk of infections due to an immunocompromised status, assessing the risk of COVID-19 severe outcomes among individuals with cirrhosis provides evidence to support targeted interventions aimed at protecting individuals with cirrhosis from COVID-19-related outcomes. These may include prioritization for vaccination, health promotion messaging, preventive interventions, and population health assessment.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v16030351/s1, Table S1: Data Sources integrated within the BC COVID-19 Cohort (BCC19C); Table S2: Factors associated with COVID-19-related hospitalization in multivariable logistic regression* analysis among confirmed adult cases during 2021, ages 18–49, BC COVID-19 Cohort (n = 115,874); Table S3: Factors associated with COVID-19-related hospitalization in multivariable logistic regression analysis among confirmed adult cases during 2021, ages 50–69, BC COVID-19 Cohort (n = 37,435); Table S4: Factors associated with COVID-19-related hospitalization in multivariable logistic regression analysis among con-firmed adult cases during 2021, ages ≥70, BC COVID-19 Cohort (n = 9200); Table S5: Factors associated with COVID-19-related ICU admission in multivariable logistic regression* analysis among confirmed adult hospitalization cases during 2021, ages 18–49, BC COVID-19 Cohort (n = 2691); Table S6: Factors associated with COVID-19-related ICU admission in multivariable logistic regression analysis among confirmed adult hospitalization cases during 2021, ages 50–69, BC COVID-19 Cohort (n = 3273); Table S7: Factors associated with COVID-19-related ICU admission in multivariable logistic regression analysis among con-firmed adult hospitalization cases during 2021, ages ≥70, BC COVID-19 Cohort (n = 2582).
Author Contributions
Conceptualization: H.A.V.G. and N.Z.J.; Writing—original draft preparation: P.A.A.; Method: H.A.V.G. and N.Z.J.; Analysis: H.A.V.G. and P.A.A.; Writing—review and editing: P.A.A., H.A.V.G., A.O.-D., J.D.M., G.C., M.B., J.W. and H.S.; Supervision and Project administration: N.Z.J.; Funding acquisition: N.Z.J. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the BC Centre for Disease Control and the Canadian Institutes of Health Research [Grant #s VR5-172683 and OV4-170361].
Institutional Review Board Statement
This study was reviewed and approved by the Research Ethics Board at the University of British Columbia (approval # H20-02097).
Informed Consent Statement
Not applicable.
Data Availability Statement
The study is based on data contained in various provincial registries and databases. Access to data could be requested through the BC Centre for Disease Control Institutional Data Access by researchers who meet the criteria for access to confidential data. Requests for the data may be sent to [email protected].
Acknowledgments
The BCC19C was established and is maintained through operational support from Data Analytics, Reporting and Evaluation (DARE), and the BC Centre for Disease Control (BCCDC) at the Provincial Health Services Authority. We acknowledge the assistance of the Provincial Health Services Authority, BC Ministry of Health, and the Regional Health Authority staff involved in data access, procurement, and management. We gratefully acknowledge the residents of British Columbia whose data are integrated into the British Columbia COVID-19 Cohort (BCC19C).
Conflicts of Interest
Co-author N.Z.J. has participated in advisory boards for AbbVie, and has spoken for AbbVie and Gilead, on matters not related to the current work. Other authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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Figure 1.
Association of cirrhosis with severe COVID-19-related outcomes (Hospitalization, ICU admission). (A) Outcome hospitalization—Hospitalization (minus ICU) vs. Non-hospitalization; (B) Outcome hospitalization—Hospitalization (includes ICU) vs. Non-hospitalization; (C) Outcome ICU—ICU vs. Non-hospitalization; (D) Outcome ICU—ICU vs. Hospitalization.
Figure 1.
Association of cirrhosis with severe COVID-19-related outcomes (Hospitalization, ICU admission). (A) Outcome hospitalization—Hospitalization (minus ICU) vs. Non-hospitalization; (B) Outcome hospitalization—Hospitalization (includes ICU) vs. Non-hospitalization; (C) Outcome ICU—ICU vs. Non-hospitalization; (D) Outcome ICU—ICU vs. Hospitalization.
Table 1.
Distribution of characteristics in confirmed COVID-19 adult cases during 2021 according to acute severity, BC COVID-19 Cohort.
Table 1.
Distribution of characteristics in confirmed COVID-19 adult cases during 2021 according to acute severity, BC COVID-19 Cohort.
| No Hospitalization | Hospital Admission | ICU Admission | Overall | p-Value | |
|---|---|---|---|---|---|
| (N = 153,963) | (N = 6035) | (N = 2511) | (N = 162,509) | ||
| Sex | |||||
| Female | 77,213 (50.2%) | 2728 (45.2%) | 928 (37.0%) | 80,869 (49.8%) | <0.001 |
| Male | 76,750 (49.8%) | 3307 (54.8%) | 1583 (63.0%) | 81,640 (50.2%) | |
| Age (years) | |||||
| Median (Q1–Q3) | 37 (27–50) | 60 (44–73) | 60 (48–70) | 38 (28–52) | <0.001 |
| Age-group | |||||
| <20 Years | 5852 (3.8%) | 28 (0.5%) | 13 (0.5%) | 5893 (3.6%) | <0.001 |
| 20–29 Years | 42,304 (27.5%) | 437 (7.2%) | 96 (3.8%) | 42,837 (26.4%) | |
| 30–39 Years | 37,305 (24.2%) | 758 (12.6%) | 245 (9.8%) | 38,308 (23.6%) | |
| 40–49 Years | 27,722 (18.0%) | 793 (13.1%) | 321 (12.8%) | 28,836 (17.7%) | |
| 50–59 Years | 21,223 (13.8%) | 988 (16.4%) | 546 (21.7%) | 22,757 (14.0%) | |
| 60–69 Years | 12,939 (8.4%) | 1119 (18.5%) | 620 (24.7%) | 14,678 (9.0%) | |
| 70–79 Years | 4925 (3.2%) | 951 (15.8%) | 514 (20.5%) | 6390 (3.9%) | |
| 80+ Years | 1693 (1.1%) | 961 (15.9%) | 156 (6.2%) | 2810 (1.7%) | |
| Health authority | |||||
| Fraser | 69,169 (44.9%) | 2557 (42.4%) | 985 (39.2%) | 72,711 (44.7%) | <0.001 |
| Interior | 25,138 (16.3%) | 1163 (19.3%) | 540 (21.5%) | 26,841 (16.5%) | |
| Northern | 11,781 (7.7%) | 788 (13.1%) | 355 (14.1%) | 12,924 (8.0%) | |
| Vancouver Coastal | 34,369 (22.3%) | 1105 (18.3%) | 441 (17.6%) | 35,915 (22.1%) | |
| Vancouver Island | 12,283 (8.0%) | 414 (6.9%) | 189 (7.5%) | 12,886 (7.9%) | |
| Unknown | 1223 (0.8%) | 8 (0.1%) | 1 (0.0%) | 1232 (0.8%) | |
| Income (Quintiles) | |||||
| 1-Q | 28,991 (18.8%) | 1833 (30.4%) | 746 (29.7%) | 31,570 (19.4%) | <0.001 |
| 2-Q | 29,034 (18.9%) | 1243 (20.6%) | 542 (21.6%) | 30,819 (19.0%) | |
| 3-Q | 28,296 (18.4%) | 1076 (17.8%) | 427 (17.0%) | 29,799 (18.3%) | |
| 4-Q | 28,433 (18.5%) | 890 (14.7%) | 395 (15.7%) | 29,718 (18.3%) | |
| 5-Q | 25,721 (16.7%) | 734 (12.2%) | 287 (11.4%) | 26,742 (16.5%) | |
| Missing/unknown | 13,488 (8.8%) | 259 (4.3%) | 114 (4.5%) | 13,861 (8.5%) | |
| Asthma | |||||
| No | 133,442 (86.7%) | 4932 (81.7%) | 2046 (81.5%) | 140,420 (86.4%) | <0.001 |
| Yes | 20,521 (13.3%) | 1103 (18.3%) | 465 (18.5%) | 22,089 (13.6%) | |
| Cirrhosis | |||||
| No | 153,425 (99.7%) | 5903 (97.8%) | 2413 (96.1%) | 161,741 (99.5%) | <0.001 |
| Yes | 538 (0.3%) | 132 (2.2%) | 98 (3.9%) | 768 (0.5%) | |
| Cancer, lymphoma | |||||
| No | 153,257 (99.5%) | 5920 (98.1%) | 2454 (97.7%) | 161,631 (99.5%) | <0.001 |
| Yes | 706 (0.5%) | 115 (1.9%) | 57 (2.3%) | 878 (0.5%) | |
| Cancer, solid | |||||
| No | 138,046 (89.7%) | 4740 (78.5%) | 2007 (79.9%) | 144,793 (89.1%) | <0.001 |
| Yes | 15,917 (10.3%) | 1295 (21.5%) | 504 (20.1%) | 17,716 (10.9%) | |
| Cancer, metastatic | |||||
| No | 151,060 (98.1%) | 5713 (94.7%) | 2374 (94.5%) | 159,147 (97.9%) | <0.001 |
| Yes | 2903 (1.9%) | 322 (5.3%) | 137 (5.5%) | 3362 (2.1%) | |
| Chronic kidney disease | |||||
| No | 149,733 (97.3%) | 4928 (81.7%) | 2013 (80.2%) | 156,674 (96.4%) | <0.001 |
| Yes | 4230 (2.7%) | 1107 (18.3%) | 498 (19.8%) | 5835 (3.6%) | |
| Chronic obstructive pulmonary disease | |||||
| No | 151,856 (98.6%) | 5426 (89.9%) | 2244 (89.4%) | 159,526 (98.2%) | <0.001 |
| Yes | 2107 (1.4%) | 609 (10.1%) | 267 (10.6%) | 2983 (1.8%) | |
| Depression | |||||
| No | 115,755 (75.2%) | 3682 (61.0%) | 1549 (61.7%) | 120,986 (74.4%) | <0.001 |
| Yes | 38,208 (24.8%) | 2353 (39.0%) | 962 (38.3%) | 41,523 (25.6%) | |
| Diabetes mellitus (DM, treatment) | |||||
| Non-DM | 144,493 (93.8%) | 4609 (76.4%) | 1803 (71.8%) | 150,905 (92.9%) | <0.001 |
| DM, non-insulin-dependent | 7817 (5.1%) | 1025 (17.0%) | 462 (18.4%) | 9304 (5.7%) | |
| DM, insulin-dependent | 1653 (1.1%) | 401 (6.6%) | 246 (9.8%) | 2300 (1.4%) | |
| Obesity | |||||
| No | 149,744 (97.3%) | 5766 (95.5%) | 2301 (91.6%) | 157,811 (97.1%) | <0.001 |
| Yes | 4219 (2.7%) | 269 (4.5%) | 210 (8.4%) | 4698 (2.9%) | |
| Weight loss | |||||
| No | 151,680 (98.5%) | 5706 (94.5%) | 2413 (96.1%) | 159,799 (98.3%) | <0.001 |
| Yes | 2283 (1.5%) | 329 (5.5%) | 98 (3.9%) | 2710 (1.7%) | |
| Acute myocardial infarction | |||||
| No | 152,839 (99.3%) | 5743 (95.2%) | 2404 (95.7%) | 160,986 (99.1%) | <0.001 |
| Yes | 1124 (0.7%) | 292 (4.8%) | 107 (4.3%) | 1523 (0.9%) | |
| Chronic heart disease * | |||||
| No | 148,425 (96.4%) | 4877 (80.8%) | 2039 (81.2%) | 155,341 (95.6%) | <0.001 |
| Yes | 5538 (3.6%) | 1158 (19.2%) | 472 (18.8%) | 7168 (4.4%) | |
| Heart failure | |||||
| No | 152,687 (99.2%) | 5546 (91.9%) | 2329 (92.8%) | 160,562 (98.8%) | <0.001 |
| Yes | 1276 (0.8%) | 489 (8.1%) | 182 (7.2%) | 1947 (1.2%) | |
| Hypertension | |||||
| No | 136,548 (88.7%) | 3621 (60.0%) | 1495 (59.5%) | 141,664 (87.2%) | <0.001 |
| Yes | 17,415 (11.3%) | 2414 (40.0%) | 1016 (40.5%) | 20,845 (12.8%) | |
| Ischemic heart disease | |||||
| No | 148,926 (96.7%) | 5031 (83.4%) | 2107 (83.9%) | 156,064 (96.0%) | <0.001 |
| Yes | 5037 (3.3%) | 1004 (16.6%) | 404 (16.1%) | 6445 (4.0%) | |
| Alcohol misuse | |||||
| No | 145,687 (94.6%) | 5165 (85.6%) | 2181 (86.9%) | 153,033 (94.2%) | <0.001 |
| Yes | 8276 (5.4%) | 870 (14.4%) | 330 (13.1%) | 9476 (5.8%) | |
| Injection drug use | |||||
| No | 145,635 (94.6%) | 5165 (85.6%) | 2202 (87.7%) | 153,002 (94.1%) | <0.001 |
| Yes | 8328 (5.4%) | 870 (14.4%) | 309 (12.3%) | 9507 (5.9%) | |
| Intellectual and developmental disabilities | |||||
| No | 153,068 (99.4%) | 5957 (98.7%) | 2483 (98.9%) | 161,508 (99.4%) | <0.001 |
| Yes | 895 (0.6%) | 78 (1.3%) | 28 (1.1%) | 1001 (0.6%) | |
| Immunosuppression | |||||
| No | 150,450 (97.7%) | 5664 (93.9%) | 2321 (92.4%) | 158,435 (97.5%) | <0.001 |
| Yes | 3513 (2.3%) | 371 (6.1%) | 190 (7.6%) | 4074 (2.5%) | |
| Alzheimer/dementia | |||||
| No | 153,729 (99.8%) | 5895 (97.7%) | 2496 (99.4%) | 162,120 (99.8%) | <0.001 |
| Yes | 234 (0.2%) | 140 (2.3%) | 15 (0.6%) | 389 (0.2%) | |
| Epilepsy | |||||
| No | 152,777 (99.2%) | 5919 (98.1%) | 2467 (98.2%) | 161,163 (99.2%) | <0.001 |
| Yes | 1186 (0.8%) | 116 (1.9%) | 44 (1.8%) | 1346 (0.8%) | |
| Parkinsonism | |||||
| No | 153,878 (99.9%) | 5990 (99.3%) | 2505 (99.8%) | 162,373 (99.9%) | <0.001 |
| Yes | 85 (0.1%) | 45 (0.7%) | 6 (0.2%) | 136 (0.1%) | |
| Rheumatoid arthritis | |||||
| No | 152,497 (99.0%) | 5839 (96.8%) | 2434 (96.9%) | 160,770 (98.9%) | <0.001 |
| Yes | 1466 (1.0%) | 196 (3.2%) | 77 (3.1%) | 1739 (1.1%) | |
| Schizophrenia and psychotic disorders | |||||
| No | 151,813 (98.6%) | 5656 (93.7%) | 2424 (96.5%) | 159,893 (98.4%) | <0.001 |
| Yes | 2150 (1.4%) | 379 (6.3%) | 87 (3.5%) | 2616 (1.6%) | |
| Variants of concern | |||||
| Non-VOC | 9353 (6.1%) | 398 (6.6%) | 158 (6.3%) | 9909 (6.1%) | <0.001 |
| Delta | 38,540 (25.0%) | 2191 (36.3%) | 989 (39.4%) | 41,720 (25.7%) | |
| Alpha | 17,270 (11.2%) | 713 (11.8%) | 290 (11.5%) | 18,273 (11.2%) | |
| Beta | 98 (0.1%) | 4 (0.1%) | 3 (0.1%) | 105 (0.1%) | |
| Gamma | 12,827 (8.3%) | 727 (12.0%) | 356 (14.2%) | 13,910 (8.6%) | |
| Not sequenced | 68,917 (44.8%) | 1916 (31.7%) | 701 (27.9%) | 71,534 (44.0%) | |
| Omicron | 6958 (4.5%) | 86 (1.4%) | 14 (0.6%) | 7058 (4.3%) | |
| Vaccination status | |||||
| Not vaccinated | 90,252 (58.6%) | 4439 (73.6%) | 2069 (82.4%) | 96,760 (59.5%) | <0.001 |
| Partially vaccinated | 16,063 (10.4%) | 867 (14.4%) | 269 (10.7%) | 17,199 (10.6%) | |
| Vaccinated | 47,648 (30.9%) | 729 (12.1%) | 173 (6.9%) | 48,550 (29.9%) | |
* Combination of acute myocardial infarction, heart failure, and ischemic heart disease.
Table 2.
Distribution of characteristics in confirmed COVID-19 adult cases during 2021 according to cirrhosis status, BC COVID-19 Cohort.
Table 2.
Distribution of characteristics in confirmed COVID-19 adult cases during 2021 according to cirrhosis status, BC COVID-19 Cohort.
| No Cirrhosis | Cirrhosis | Overall | p-Value | |
|---|---|---|---|---|
| (N = 161,741) | (N = 768) | (N = 162,509) | ||
| Severity (acute) | ||||
| No hospitalization | 153,425 (94.9%) | 538 (70.1%) | 153,963 (94.7%) | <0.001 |
| Hospitalization | 5903 (3.6%) | 132 (17.2%) | 6035 (3.7%) | |
| ICU admission | 2413 (1.5%) | 98 (12.8%) | 2511 (1.5%) | |
| Sex | ||||
| Female | 80,501 (49.8%) | 368 (47.9%) | 80,869 (49.8%) | 0.591 |
| Male | 81,240 (50.2%) | 400 (52.1%) | 81,640 (50.2%) | |
| Age (years) | ||||
| Median (Q1–Q3) | 38 (28–52) | 54 (43–64) | 38 (28–52) | <0.001 |
| Age-group | ||||
| <20 Years | 5890 (3.6%) | 3 (0.4%) | 5893 (3.6%) | <0.001 |
| 20–29 Years | 42,805 (26.5%) | 32 (4.2%) | 42,837 (26.4%) | |
| 30–39 Years | 38,204 (23.6%) | 104 (13.5%) | 38,308 (23.6%) | |
| 40–49 Years | 28,672 (17.7%) | 164 (21.4%) | 28,836 (17.7%) | |
| 50–59 Years | 22,574 (14.0%) | 183 (23.8%) | 22,757 (14.0%) | |
| 60–69 Years | 14,497 (9.0%) | 181 (23.6%) | 14,678 (9.0%) | |
| 70–79 Years | 6312 (3.9%) | 78 (10.2%) | 6390 (3.9%) | |
| 80+ Years | 2787 (1.7%) | 23 (3.0%) | 2810 (1.7%) | |
| Health authority | ||||
| Fraser | 72,407 (44.8%) | 304 (39.6%) | 72,711 (44.7%) | <0.001 |
| Interior | 26,690 (16.5%) | 151 (19.7%) | 26,841 (16.5%) | |
| Northern | 12,785 (7.9%) | 139 (18.1%) | 12,924 (8.0%) | |
| Vancouver Coastal | 35,804 (22.1%) | 111 (14.5%) | 35,915 (22.1%) | |
| Vancouver Island | 12,823 (7.9%) | 63 (8.2%) | 12,886 (7.9%) | |
| Unknown | 1232 (0.8%) | 0 (0%) | 1232 (0.8%) | |
| Income (Quintiles) | ||||
| 1-Q | 31,302 (19.4%) | 268 (34.9%) | 31,570 (19.4%) | <0.001 |
| 2-Q | 30,661 (19.0%) | 158 (20.6%) | 30,819 (19.0%) | |
| 3-Q | 29,673 (18.3%) | 126 (16.4%) | 29,799 (18.3%) | |
| 4-Q | 29,587 (18.3%) | 131 (17.1%) | 29,718 (18.3%) | |
| 5-Q | 26,663 (16.5%) | 79 (10.3%) | 26,742 (16.5%) | |
| Missing/unknown | 13,855 (8.6%) | 6 (0.8%) | 13,861 (8.5%) | |
| Asthma | ||||
| No | 139,808 (86.4%) | 612 (79.7%) | 140,420 (86.4%) | <0.001 |
| Yes | 21,933 (13.6%) | 156 (20.3%) | 22,089 (13.6%) | |
| Cancer, lymphoma | ||||
| No | 160,881 (99.5%) | 750 (97.7%) | 161,631 (99.5%) | <0.001 |
| Yes | 860 (0.5%) | 18 (2.3%) | 878 (0.5%) | |
| Cancer, solid | ||||
| No | 144,256 (89.2%) | 537 (69.9%) | 144,793 (89.1%) | <0.001 |
| Yes | 17,485 (10.8%) | 231 (30.1%) | 17,716 (10.9%) | |
| Cancer, metastatic | ||||
| No | 158,462 (98.0%) | 685 (89.2%) | 159,147 (97.9%) | <0.001 |
| Yes | 3279 (2.0%) | 83 (10.8%) | 3362 (2.1%) | |
| Chronic kidney disease | ||||
| No | 156,080 (96.5%) | 594 (77.3%) | 156,674 (96.4%) | <0.001 |
| Yes | 5661 (3.5%) | 174 (22.7%) | 5835 (3.6%) | |
| Chronic obstructive pulmonary disease | ||||
| No | 158,822 (98.2%) | 704 (91.7%) | 159,526 (98.2%) | <0.001 |
| Yes | 2919 (1.8%) | 64 (8.3%) | 2983 (1.8%) | |
| Depression | ||||
| No | 120,627 (74.6%) | 359 (46.7%) | 120,986 (74.4%) | <0.001 |
| Yes | 41,114 (25.4%) | 409 (53.3%) | 41,523 (25.6%) | |
| Diabetes mellitus (DM, treatment) | ||||
| Non-DM | 150,323 (92.9%) | 582 (75.8%) | 150,905 (92.9%) | <0.001 |
| DM, non-insulin-dependent | 9176 (5.7%) | 128 (16.7%) | 9304 (5.7%) | |
| DM, insulin-dependent | 2242 (1.4%) | 58 (7.6%) | 2300 (1.4%) | |
| Obesity | ||||
| No | 157,091 (97.1%) | 720 (93.8%) | 157,811 (97.1%) | <0.001 |
| Yes | 4650 (2.9%) | 48 (6.3%) | 4698 (2.9%) | |
| Weight loss | ||||
| No | 159,091 (98.4%) | 708 (92.2%) | 159,799 (98.3%) | <0.001 |
| Yes | 2650 (1.6%) | 60 (7.8%) | 2710 (1.7%) | |
| Acute myocardial infarction | ||||
| No | 160,240 (99.1%) | 746 (97.1%) | 160,986 (99.1%) | <0.001 |
| Yes | 1501 (0.9%) | 22 (2.9%) | 1523 (0.9%) | |
| Chronic heart disease * | ||||
| No | 154,710 (95.7%) | 631 (82.2%) | 155,341 (95.6%) | <0.001 |
| Yes | 7031 (4.3%) | 137 (17.8%) | 7168 (4.4%) | |
| Heart failure | ||||
| No | 159,865 (98.8%) | 697 (90.8%) | 160,562 (98.8%) | <0.001 |
| Yes | 1876 (1.2%) | 71 (9.2%) | 1947 (1.2%) | |
| Hypertension | ||||
| No | 141,173 (87.3%) | 491 (63.9%) | 141,664 (87.2%) | <0.001 |
| Yes | 20,568 (12.7%) | 277 (36.1%) | 20,845 (12.8%) | |
| Ischemic heart disease | ||||
| No | 155,398 (96.1%) | 666 (86.7%) | 156,064 (96.0%) | <0.001 |
| Yes | 6343 (3.9%) | 102 (13.3%) | 6445 (4.0%) | |
| Alcohol misuse | ||||
| No | 152,590 (94.3%) | 443 (57.7%) | 153,033 (94.2%) | <0.001 |
| Yes | 9151 (5.7%) | 325 (42.3%) | 9476 (5.8%) | |
| Injection drug use | ||||
| No | 152,471 (94.3%) | 531 (69.1%) | 153,002 (94.1%) | <0.001 |
| Yes | 9270 (5.7%) | 237 (30.9%) | 9507 (5.9%) | |
| Intellectual and developmental disabilities | ||||
| No | 160,746 (99.4%) | 762 (99.2%) | 161,508 (99.4%) | 0.842 |
| Yes | 995 (0.6%) | 6 (0.8%) | 1001 (0.6%) | |
| Immunosuppression | ||||
| No | 157,757 (97.5%) | 678 (88.3%) | 158,435 (97.5%) | <0.001 |
| Yes | 3984 (2.5%) | 90 (11.7%) | 4074 (2.5%) | |
| Alzheimer/dementia | ||||
| No | 161,360 (99.8%) | 760 (99.0%) | 162,120 (99.8%) | <0.001 |
| Yes | 381 (0.2%) | 8 (1.0%) | 389 (0.2%) | |
| Epilepsy | ||||
| No | 160,422 (99.2%) | 741 (96.5%) | 161,163 (99.2%) | <0.001 |
| Yes | 1319 (0.8%) | 27 (3.5%) | 1346 (0.8%) | |
| Parkinsonism | ||||
| No | 161,606 (99.9%) | 767 (99.9%) | 162,373 (99.9%) | 0.905 |
| Yes | 135 (0.1%) | 1 (0.1%) | 136 (0.1%) | |
| Rheumatoid arthritis | ||||
| No | 160,023 (98.9%) | 747 (97.3%) | 160,770 (98.9%) | <0.001 |
| Yes | 1718 (1.1%) | 21 (2.7%) | 1739 (1.1%) | |
| Schizophrenia and psychotic disorders | ||||
| No | 159,164 (98.4%) | 729 (94.9%) | 159,893 (98.4%) | <0.001 |
| Yes | 2577 (1.6%) | 39 (5.1%) | 2616 (1.6%) | |
| Variants of concern | ||||
| Non-VOC | 9822 (6.1%) | 87 (11.3%) | 9909 (6.1%) | <0.001 |
| Delta | 41,491 (25.7%) | 229 (29.8%) | 41,720 (25.7%) | |
| Alpha | 18,206 (11.3%) | 67 (8.7%) | 18,273 (11.2%) | |
| Beta | 101 (0.1%) | 4 (0.5%) | 105 (0.1%) | |
| Gamma | 13,871 (8.6%) | 39 (5.1%) | 13,910 (8.6%) | |
| Not sequenced | 71,206 (44.0%) | 328 (42.7%) | 71,534 (44.0%) | |
| Omicron | 7044 (4.4%) | 14 (1.8%) | 7058 (4.3%) | |
| Vaccination status | ||||
| Not vaccinated | 96,317 (59.6%) | 443 (57.7%) | 96,760 (59.5%) | 0.00111 |
| Partially vaccinated | 17,082 (10.6%) | 117 (15.2%) | 17,199 (10.6%) | |
| Vaccinated | 48,342 (29.9%) | 208 (27.1%) | 48,550 (29.9%) | |
* Combination of acute myocardial infarction, heart failure, and ischemic heart disease.
Table 3.
Association of cirrhosis with severe COVID-19-related outcomes (Hospitalization, ICU admission) in multivariable logistic regression. * analysis among confirmed adult cases during 2021, BC COVID-19 Cohort, stratified by age-group.
Table 3.
Association of cirrhosis with severe COVID-19-related outcomes (Hospitalization, ICU admission) in multivariable logistic regression. * analysis among confirmed adult cases during 2021, BC COVID-19 Cohort, stratified by age-group.
| Hospitalization | ICU Admission | |||||||
|---|---|---|---|---|---|---|---|---|
| AOR | LCI | UCI | p-Value | AOR | LCI | UCI | p-Value | |
| Overall | 1.97 | 1.58 | 2.47 | <0.001 | 3.33 | 2.56 | 4.35 | <0.001 |
| Ages 18–49 | 2.65 ⁰† | 1.77 | 3.99 | <0.001 | 6.81 ‡ | 4.31 | 10.78 | <0.001 |
| Ages 50–69 | 2.04 ⁰ | 1.50 | 2.78 | <0.001 | 2.98 | 2.08 | 4.27 | <0.001 |
| Ages ≥ 70 | 1.48 | 0.90 | 2.46 | 0.125 | 2.17 † | 1.13 | 4.17 | 0.02 |
AOR: adjusted odds ratio; LCI: lower confidence interval; UCI: upper confidence interval. * Models adjusted for sex, age-group (where applicable), asthma, chronic obstructive pulmonary disease, chronic kidney disease, diabetes mellitus, heart failure, hypertension, injection drug use, alcohol misuse, immunosuppression, Alzheimer/dementia, schizophrenia and psychotic disorders, multiple sclerosis, parkinsonism, rheumatoid arthritis, obesity, weight loss, intellectual and developmental disabilities, cancer (lymphoma), cancer (metastatic), variant of concern, vaccination status, income and health authority. ⁰ VOC: Alpha and Beta were collapsed together due to low counts. † Parkinsonism was removed from model due to zero counts. ‡ Alzheimer/dementia and Parkinsonism were removed from model due to zero counts.
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Velásquez García, H.A.; Adu, P.A.; Okonkwo-Dappa, A.; Makuza, J.D.; Cua, G.; Binka, M.; Wilton, J.; Sbihi, H.; Janjua, N.Z. Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada. Viruses 2024, 16, 351. https://doi.org/10.3390/v16030351
AMA Style
Velásquez García HA, Adu PA, Okonkwo-Dappa A, Makuza JD, Cua G, Binka M, Wilton J, Sbihi H, Janjua NZ. Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada. Viruses. 2024; 16(3):351. https://doi.org/10.3390/v16030351
Chicago/Turabian StyleVelásquez García, Héctor Alexander, Prince A. Adu, Ada Okonkwo-Dappa, Jean Damascene Makuza, Georgine Cua, Mawuena Binka, James Wilton, Hind Sbihi, and Naveed Z. Janjua. 2024. "Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada" Viruses 16, no. 3: 351. https://doi.org/10.3390/v16030351
APA StyleVelásquez García, H. A., Adu, P. A., Okonkwo-Dappa, A., Makuza, J. D., Cua, G., Binka, M., Wilton, J., Sbihi, H., & Janjua, N. Z. (2024). Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada. Viruses, 16(3), 351. https://doi.org/10.3390/v16030351
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