| Literature DB >> 35027428 |
Keir Elmslie James Philip1,2,3, Sara Buttery4,2,3, Parris Williams4,2,3, Bavithra Vijayakumar4,2,3, James Tonkin4,2,3, Andrew Cumella5, Lottie Renwick6, Lizzie Ogden5, Jennifer K Quint4,3,7, Sebastian L Johnston4,2, Michael I Polkey4,2,3, Nicholas S Hopkinson4,2,3.
Abstract
INTRODUCTION: The impact of acute COVID-19 on people with asthma appears complex, being moderated by multiple interacting disease-specific, demographic and environmental factors. Research regarding longer-term effects in this group is limited. We aimed to assess impacts of COVID-19 and predictors of persistent symptoms, in people with asthma.Entities:
Keywords: COVID-19; asthma; asthma in primary care; respiratory infection; viral infection
Mesh:
Year: 2022 PMID: 35027428 PMCID: PMC8762134 DOI: 10.1136/bmjresp-2021-001056
Source DB: PubMed Journal: BMJ Open Respir Res ISSN: 2052-4439
Characteristics of survey respondents
| All survey respondents (n=4500) | Not had COVID-19 | Not sure if had COVID-19 (n=972) | Had COVID-19 | P value | |
| Age | N (%) | ||||
| 29 and under | 182 (4.09) | 122 (4.06) | 40 (4.14) | 19 (4.09) | |
| 30–39 | 410 (9.20) | 260 (8.65) | 95 (9.83) | 54 (11.64) | |
| 40–49 | 891 (20.00) | 541 (18.00) | 235 (24.33) | 112 (24.14) | |
| 50–59 | 1270 (28.51) | 840 (27.95) | 280 (28.99) | 142 (30.60) | |
| 60–69 | 1085 (24.35) | 770 (25.62) | 211 (21.84) | 101 (21.77) | |
| 70 and above | 617 (13.85) | 472 (15.71) | 105 (10.87) | 36 (7.76) | p<0.001 |
| Gender | |||||
| Female | 3618 (80.79) | 2442 (80.86) | 778 (80.21) | 382 (81.80) | |
| Male | 856 (19.12) | 577 (19.11) | 190 (19.59) | 84 (17.99) | |
| Other | 4 (0.09) | 1 (0.03) | 2 (0.21) | 1 (0.21) | p=0.91 |
| Ethnicity | |||||
| White | 4301 (96.41) | 2909 (96.77) | 930 (96.07) | 444 (94.67) | |
| Black or black British | 37 (0.83) | 21 (0.70) | 12 (1.24) | 4 (0.85) | |
| Asian or Asian British | 70 (1.57) | 45 (1.50) | 16 (1.65) | 9 (1.92) | |
| Mixed | 53 (1.19) | 31 (1.03) | 10 (1.03) | 12 (2.56) | p=0.28 |
| Care cancelled | |||||
| Reported that regular care (eg, an annual review) for my asthma at the GP has been cancelled | 902 (20.04) | 613 (20.19) | 193 (19.86) | 93 (19.75) | p=0.98 |
| During lockdown, how has your reliever inhaler use changed? | |||||
| I have used it more than usual | 1689 (39.96) | 1031 (35.99) | 413 (45.64) | 238 (54.34) | |
| I have used it at about the same rate | 1824 (43.15) | 1332 (46.49) | 355 (39.23) | 128 (29.22) | |
| I have used it less than usual | 587 (13.89) | 409 (14.28) | 116 (12.82) | 60 (13.70) | |
| I do not have a reliever inhaler | 127 (3.00) | 93 (2.25) | 21 (2.32) | 12 (2.74) | p<0.001 |
| Since the start of lockdown, how have you been managing your asthma? | |||||
| Much worse than usual | 324 (7.22) | 161 (5.32) | 84 (8.67) | 77 (16.42) | |
| A bit worse than usual | 831 (18.52) | 502 (16.58) | 218 (22.50) | 107 (22.81) | |
| About the same | 2358 (52.44) | 1702 (56.21) | 448 (46.23) | 197 (42.00) | |
| A bit better than usual | 584 (13.02) | 401 (13.24) | 129 (13.31) | 51 (10.87) | |
| Much better than usual | 390 (8.69) | 262 (8.65) | 90 (9.29) | 37 (7.89) | p<0.001 |
P values are for comparison between groups for people reporting they ‘had had’, ‘had not had’ and were ‘not sure if they had had’ COVID-19.
Characteristics of people with asthma who reported having had COVID-19
| All with COVID-19 (n=471) | Long COVID | Not long COVID | P value | |
| Age | N (%) | |||
| 29 and under | 19 (4.09) | 12 (4.67) | 6 (2.99) | |
| 30–39 | 54 (11.64) | 24 (9.34) | 28 (13.93) | |
| 40–49 | 112 (24.14) | 65 (25.29) | 45 (22.39) | |
| 50–59 | 142 (30.60) | 78 (30.35) | 64 (31.84) | |
| 60–69 | 101 (21.77) | 57 (22.18) | 43 (21.39) | |
| 70 and above | 36 (7.76) | 21 (8.17) | 15 (7.46) | p=0.795 |
| Gender | ||||
| Female | 382 (81.97) | 212 (82.17) | 166 (82.18) | |
| Male | 84 (18.03) | 46 (17.83) | 36 (17.82) | p=0.998 |
| Ethnicity | ||||
| White | 444 (94.67) | 245 (94.59) | 194 (95.10) | |
| Ethnic minority | 25 (5.33) | 14 (5.41) | 10 (4.90) | p=0.808 |
| Total annual household income | ||||
| Below £20 000 | 116 (25.00) | 63 (24.42) | 53 (26.50) | |
| £20 000–£30 000 | 90 (19.40) | 54 (20.93) | 36 (18.00) | |
| £30 001–£40 000 | 53 (11.42) | 30 (11.63) | 21 (10.50) | |
| £40 001–£70 000 | 74 (15.95) | 41 (15.89) | 31 (15.50) | |
| Above £70 000 | 31 (6.68) | 8 (3.10) | 21 (10.50) | |
| Rather not say | 100 (21.55) | 62 (24.03) | 38 (19.00) | p=0.156 |
| Nation | ||||
| England | 379 (80.98) | 209 (80.38) | 167 (82.67) | |
| Devolved nations | 89 (19.02) | 51 (19.62) | 35 (17.33) | p=0.531 |
| Had a positive coronavirus test? | ||||
| Yes | 84 (18.18) | 52 (20.08) | 31 (15.35) | |
| No (includes negative result, tried and could not access one, and no test) | 378 (81.82) | 207 (79.92) | 171 (84.65) | p=0.190 |
| Since the start of lockdown, how have you been managing your asthma? | ||||
| Much worse than usual | 77 (16.42) | 69 (26.54) | 8 (3.94) | |
| A bit worse than usual | 107 (22.81) | 60 (23.08) | 44 (21.67) | |
| About the same | 197 (42.00) | 92 (35.38) | 104 (51.23) | |
| A bit better than usual | 51 (10.87) | 25 (9.62) | 24 (11.82) | |
| Much better than usual | 37 (7.89) | 14 (5.38) | 23 (11.33) | p<0.001 |
| During lockdown, how has your reliever inhaler (usually your blue inhaler) use changed? | ||||
| I have used it more than usual | 238 (54.34) | 162 (67.78) | 75 (38.66) | |
| I have used it at about the same rate | 128 (29.22) | 55 (23.01) | 72 (37.11) | |
| I have used it less than usual | 60 (13.70) | 15 (6.28) | 42 (21.65) | |
| I do not have a reliever inhaler | 12 (2.74) | 7 (2.93) | 5 (2.58) | p<0.001 |
| Since recovering from coronavirus, breathing described as | ||||
| Much better than before | 9 (1.94) | 1 (0.39) | 8 (3.98) | |
| Better than before | 7 (1.51) | 2 (0.78) | 5 (2.49) | |
| About the same | 162 (34.84) | 59 (22.87) | 101 (50.25) | |
| Worse than before | 159 (34.19) | 97 (37.60) | 60 (29.85) | |
| Much worse than before | 105 (22.58) | 93 (36.05) | 10 (4.98) | |
| It is too early to say | 23 (4.95) | 6 (2.33) | 17 (8.46) | p<0.001 |
| Have you had long COVID? | ||||
| Yes | 261 (56.13) | 261 (100) | ||
| No | 110 (23.66) | – | 110 (53.92) | |
| Not sure | 94 (20.22) | – | 94 (46.08) | |
Totals of less than 471 are due to non-completion of the question. Not long COVID includes those answering ‘no’ n=110; ‘not sure’ n=94 or blank n=6. P values are for univariate logistic regressions (age, income, managing asthma, inhaler use, breathing), or χ2 (gender, ethnicity, nation, positive coronavirus test, having long COVID) tests to assess for differences between those reporting long COVID and those not reporting long COVID.
Figure 1Participant flow diagram.
Figure 7Thematic map.