| Literature DB >> 34957131 |
Yu Nishida1, Shuhei Hosomi1, Koji Fujimoto1, Rieko Nakata1, Naoko Sugita1, Shigehiro Itani1, Yuji Nadatani1, Shusei Fukunaga1, Koji Otani1, Fumio Tanaka1, Yasuaki Nagami1, Koichi Taira1, Noriko Kamata1, Toshio Watanabe1, Satoko Ohfuji2, Yasuhiro Fujiwara1.
Abstract
Background: The government of Japan declared a state of emergency on April 16, 2020, owing to the coronavirus disease 2019 (COVID-19) pandemic. The subsequent lockdown altered lifestyles and worsened mental illnesses. Inflammatory bowel disease (IBD) is an intestinal disorder that is affected by environmental factors. Therefore, we aimed to assess the effects of COVID-19 and the state of emergency on the lifestyle and disease activity of patients with IBD.Entities:
Keywords: COVID-19; Crohn's disease; inflammatory bowel disease; lockdown; ulcerative colitis
Year: 2021 PMID: 34957131 PMCID: PMC8702803 DOI: 10.3389/fmed.2021.649759
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Demographic data and disease-related variables of participants.
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| Demographics | Number of patients | 241 | 210 |
| Sex (male/female) | 129/112 | 158/52 | |
| Age at enrollment (years), median (IQR) | 50 (39–63) | 44 (34–50) | |
| Age at diagnosis (years), median (IQR) | 31 (24–42) | 25 (19–33) | |
| Disease duration (years), median (IQR) | 13 (7–23) | 13 (6–24) | |
| 6-point Mayo score before the declaration of the state of emergency | 0 (0–1) | ||
| 6-point Mayo score during the state of emergency | 0 (0–1) | ||
| PRO2 score before the declaration of the state of emergency | 6 (0–11) | ||
| PRO2 score during the state of emergency | 9 (4–15) | ||
| Lifestyle during the state of emergency | Sleeping time (hours/day), mean (IQR) | 6 (6–7) | 6 (6–7) |
| Working time (hours/week), median (IQR) | 12 (0–40) | 8 (0–8.75) | |
| Walking time (hours/day), median (IQR) | 1 (0–1) | 1 (0–1) | |
| Exercise time (minutes/week), median (IQR) | 0 (0–120) | 10 (0–40) | |
| Number of meals per day, median (IQR) | 3 (3–3) | 3 (2–3) | |
| Increased smoking | 1 (0.4%) | 14 (6.7%) | |
| Increased alcohol intake | 29 (12.0%) | 23 (11.0%) | |
| Deterioration of drug-adherence | 3 (1.2%) | 2 (1.0%) | |
| Stress related to the state of emergency | Stress due to childcare burden | 2 (0.8%) | 0 (0%) |
| Stress due to COVID-19 | 14 (5.8%) | 7 (3.3%) | |
| Stress due to family budget | 10 (4.1%) | 3 (1.4%) | |
| Stress due to inability to exercise | 21 (8.7%) | 10 (4.8%) | |
| Stress due to staying indoors | 25 (10.4%) | 18 (8.6%) | |
| Stress due to inflammatory bowel disease | 7 (2.9%) | 3 (1.4%) | |
| Stress due to worsening of diet and nutritional status | 5 (2.1%) | 2 (1.0%) | |
| Medication | Mesalamine | 214 (88.8%) | 123 (58.6%) |
| Enteral nutrition | 0 (0%) | 66 (31.4%) | |
| Corticosteroids | 8 (3.3%) | 8 (3.8%) | |
| Immunomodulators (azathioprine or 6-mercaptopurine) | 64 (26.6%) | 70 (33.3%) | |
| Anti-TNF therapy | 31 (12.9%) | 109 (51.9%) | |
| Ustekinumab | 0 (0%) | 26 (12.4%) | |
| Vedolizumab | 11 (4.6%) | 7 (3.3%) | |
| Tofacitinib | 6 (2.5%) | not approved in Japan | |
| Molecularly targeted therapies | 48 (19.9%) | 141 (67.1%) |
“Stress related to the state of emergency” was defined as newly emerging stress during the state of emergency.
Tofacitinib is not approved for the treatment of Crohn's disease in Japan.
“Molecularly targeted therapies” include anti-TNF therapy, ustekinumab, vedolizumab, and tofacitinib. IQR, interquartile range; COVID-19, coronavirus disease; PRO2, patient-reported outcome 2; TNF, tumor necrosis factor.
Figure 1Comparison of disease activity before and during lockdown. (A) Ulcerative colitis (UC). (B) Crohn's disease (CD). Disease activity in UC changed as follows: remission, 213 (88.4%); mild activity, 14 (5.8%); moderate activity, 11 (4.6%); severe activity, 3 (1.2%) to remission, 180 (74.7%); mild activity, 29 (12.0%); moderate activity, 22 (9.1%); severe activity, 10 (4.1%). Disease activity in CD changed as follows: remission, 123 (58.6%); mild activity, 46 (21.9%); moderate activity, 39 (18.6%); severe activity, 2 (1.0%) to remission, 96 (45.7%); mild activity, 53 (25.2%); moderate activity, 54 (25.7%); severe activity, 2 (1.0%).
Descriptive comparison of participants with and without exacerbation.
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| Demographics | Number of patients | 159 | 82 | 113 | 97 | ||
| Sex (male/female) | 82/77 | 47/35 | 0.416 | 85/28 | 73/24 | 1 | |
| Age at enrolment (years), median (IQR) | 51 (39–66) | 46.5 (39–56.5) | 0.051 | 46 (35–54) | 42 (31–48) | 0.014 | |
| Age at diagnosis (years), median (IQR) | 32 (24.5–43) | 30 (22–41.75) | 0.169 | 26 (20–38) | 24 (18–28) | 0.013 | |
| Disease duration (years), median (IQR) | 13 (7–23) | 13.5 (5–22.25) | 0.533 | 13 (5–25) | 15 (7–22) | 0.788 | |
| 6-point Mayo score before the declaration of the state of emergency | 0 (0–1) | 0 (0–1) | 0.221 | ||||
| PRO2 score before the declaration of the state of emergency | 5 (0–10) | 8 (2–13) | 0.025 | ||||
| Lifestyle during the state of emergency | Sleeping time (hours/day), mean (IQR) | 6 (6–7) | 6 (6–7) | 0.073 | 6 (6–7) | 7 (6–7) | 0.763 |
| Working time (hours/week), median (IQR) | 10 (0–40) | 16 (0–40) | 0.171 | 8 (0–9) | 8 (0–8) | 0.901 | |
| Walking time (hours/day), median (IQR) | 1 (0–1) | 1 (0–1) | 0.295 | 1 (1–1) | 1 (0–1) | 0.491 | |
| Exercise time (minutes/week), median (IQR) | 0 (0–120) | 0 (0–120) | 0.917 | 10 (0–60) | 15 (0–30) | 0.819 | |
| Number of meals per day, median (IQR) | 3 (3–3) | 3 (3–3) | 0.493 | 3 (2–3) | 3 (2–3) | 0.593 | |
| Increased smoking | 1 (0.6%) | 0 (0.0%) | 1 | 8 (7.1%) | 6 (6.2%) | 1 | |
| Increased alcohol intake | 17 (10.7%) | 12 (14.6%) | 0.406 | 12 (10.6%) | 11 (11.3%) | 1 | |
| Deterioration of drug-adherence | 1 (0.6%) | 2 (2.4%) | 0.268 | 1 (1.0%) | 1 (1.1%) | 1 | |
| Stress related to the state of emergency | Stress due to childcare burden | 1 (0.6%) | 1 (1.2%) | 1 | 0 (0%) | 0 (0%) | NA |
| Stress due to COVID-19 | 4 (2.5%) | 10 (12.2%) | 0.006 | 2 (1.8%) | 5 (5.2%) | 0.253 | |
| Stress due to family budget | 7 (4.4%) | 3 (3.7%) | 1 | 1 (0.9%) | 2 (2.1%) | 0.597 | |
| Stress due to inability to exercise | 12(7.5%) | 9 (11%) | 0.47 | 4 (3.5%) | 6 (6.2%) | 0.519 | |
| Stress due to staying indoors | 15(9.4%) | 10 (12.2%) | 1 | 11 (9.7%) | 7 (7.2%) | 0.624 | |
| Stress due to inflammatory bowel disease | 3 (1.9%) | 4 (4.9%) | 0.51 | 2 (1.8%) | 1 (1.0%) | 1 | |
| Stress due to worsening of diet and nutritional status | 3 (1.9%) | 2 (2.4%) | 0.55 | 0 (0%) | 2 (2.1%) | 0.212 | |
| Medication | Mesalamine | 142 (89.3%) | 72 (87.8%) | 0.83 | 67 (59.3%) | 56 (57.7%) | 0.888 |
| Enteral nutrition | 0 (0%) | 0 (0%) | NA | 36 (31.9%) | 30 (30.9%) | 1 | |
| Corticosteroids | 5 (3.1%) | 3 (3.7%) | 1 | 3 (2.7%) | 5 (5.2%) | 0.475 | |
| Immunomodulators (azathioprine or 6-mercaptopurine) | 47 (29.6%) | 17 (20.7%) | 0.167 | 35 (31%) | 35 (36.1%) | 0.465 | |
| Anti-TNF therapy | 17 (10.7%) | 14 (17.1%) | 0.222 | 55 (48.7%) | 54 (55.7%) | 0.335 | |
| Ustekinumab | 0 (0%) | 0 (0%) | NA | 13 (11.5%) | 13 (13.4%) | 0.681 | |
| Vedolizumab | 8 (5%) | 3 (3.7%) | 0.754 | 2 (1.8%) | 5 (5.2%) | 0.253 | |
| Tofacitinib | 3 (1.9%) | 3 (3.7%) | 0.404 | Not approved in Japan | |||
| Molecularly targeted therapies | 28 (17.6%) | 20 (24.4%) | 0.235 | 70 (61.9%) | 71 (73.2%) | 0.105 | |
“Stress related to the state of emergency” was defined as newly emerging stress during the state of emergency. .
“Molecularly targeted therapies” include anti-TNF therapy, ustekinumab, vedolizumab, and tofacitinib. COVID-19, coronavirus disease; IQR, interquartile range; PRO2, patient-reported outcome 2; TNF, tumor necrosis factor.
Logistic regression analyses of factors associated with exacerbation.
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| Age at enrollment | 0.98 (0.96–0.99) | 0.036 | 0.98 (0.96–0.99) | <0.05 |
| Age at onset | 0.98 (0.98–1.00) | 0.106 | ||
| Sleep hours | 0.81 (0.63–1.03) | 0.086 | 0.74 (0.57–0.97) | <0.05 |
| Stress due to the COVID-19 pandemic | ||||
| No | Ref | Ref | ||
| Yes | 5.38 (1.63–17.70) | <0.01 | 6.06 (1.79–20.50) | <0.01 |
| Disease activity | ||||
| Remission | Ref | Ref | ||
| Active | 1.29 (0.58–2.91) | 0.53 | 1.27 (0.53–3.04) | 0.59 |
| Smoking habit | ||||
| Decrease / No change | Ref | Ref | ||
| Increase | 9.10e-7 (0–inf) | 0.99 | 7.28e-7 (0–inf) | 0.98 |
| Alcohol intake | ||||
| Decrease / No change | Ref | Ref | ||
| Increase | 1.43 (0.65–3.16) | 0.38 | 1.69 (0.74–3.85) | 0.22 |
| Drug adherence | ||||
| Improvement / No change | Ref | Ref | ||
| Deterioration | 3.95 (0.35–44.20) | 0.27 | 3.02 (0.25–36.5) | 0.39 |
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| Age at enrollment | 0.97 (0.95–0.99) | <0.05 | 0.97 (0.94–0.99) | <0.01 |
| Age at onset | 0.97 (0.94–0.99) | <0.01 | ||
| Sleep hours | 1.00 (0.77–1.29) | 0.99 | 0.97 (0.74–1.27) | 0.81 |
| Stress due to the COVID-19 pandemic | ||||
| No | Ref | Ref | ||
| Yes | 3.02 (0.57–15.90) | 0.19 | 3.69 (0.64–21.40) | 0.15 |
| Disease activity | ||||
| Remission | Ref | Ref | ||
| Active | 2.01 (1.15–3.52) | <0.05 | 2.20 (1.23–3.95) | <0.01 |
| Smoking habit | ||||
| Decrease / No change | Ref | Ref | ||
| Increase | 0.86 (0.29–2.59) | 0.8 | 0.88 (0.26–3.03) | 0.84 |
| Alcohol intake | ||||
| Decrease / No change | Ref | Ref | ||
| Increase | 1.08 (0.45–2.56) | 0.87 | 0.89 (0.35–2.30) | 0.82 |
| Drug adherence | ||||
| Improvement / No change | Ref | Ref | ||
| Deterioration | 1.17 (0.07–18.90) | 0.91 | 1.21 (0.07–21.80) | 0.90 |
Age at enrollment, age at onset and sleep hours were considered as continuous variables.
Adjusted for factors, including age at enrollment, sex, short sleep, stress due to the COVID-19 pandemic, increased smoking, increased alcohol intake, drug adherence deterioration, and active disease. COVID-19, coronavirus disease; PRO2, patient-reported outcome 2; UC, ulcerative colitis; CD, Crohn's disease; CI, confidence interval; OR, odds ratio.