COVID-19 recovery: predicting long term outcomes最新文献

{"title":"P142 Chaotic breathing in post COVID-19 breathlessness: a key feature characterised by approximate entropy","authors":"CB Samaranayake, C. Warren, S. Rhamie, L. Price, C. McCabe, G. Haji, JH Hull","doi":"10.1136/thorax-2021-btsabstracts.251","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.251","url":null,"abstract":"P142 Table 1Baseline characteristics and exercise measurements Post COVID-19 BPD (N = 20) Non-COVID BPD (N = 20) Healthy controls (N = 15) BASELINE CHARACTERISTICS Age/years 41 (10) 49 (14) 50 (18) Gender M:F 6:14 6:14 9:6 BMI (kg/m2) 25 (4) 26 (5) 25 (4) Nijmegen score (/64) 23 (12–44) 23 (14–41) - FEV1 (% pred) 111 (13) 107 (16) 96 (6) FVC (% pred) 118 (14) 114 (16) 107 (12) FEV1/FVC Ratio 80 (6) 78 (6) 75 (12) Resting SpO2 (%) 98 (95–100) 99 (94–100) 97 (96–99) Resting HCO3 − (earlobe) (mmol/L) 24 (5) 22 (3) 24 (2) Resting PaCO2 (kPa) 4.4 (0.8) 4.3 (0.7) 4.7 (0.5) Resting BORG CR-10 dyspnoea (/10) 0.7 (0.8) 1.4 (1.3) 0.2 (0.6) PEAK exercise CPET Variables Duration of test (minutes) 10 (4) 9 (2) 15 (3) Main reason cited for exercise cessation Legs = 6 Legs = 8 Legs = 6 Breathing = 14 Breathing = 12 Breathing = 4 BORG CR-10 dyspnoea (/10) End=5.3 (2.3) End=4.2 (1.5) End=4.1 (1.7) Peak VO2 (L/min) 2.18 (0.87) 1.52 (0.62) 2.77 (1.22) Peak VO2 (% predicted) 106.5 (33.1) 79.8 (17.5) 124.8 (27.3) Peak VO2 (mL/min/kg) 29.6 (7.6) 20.7 (7.1) 37.8 (14.8) Peak Heart Rate (beats/min) 170 (12.6) 141 (26) 167 (15) Heart Rate Reserve (beats/min) 20 (19) 30 (20) 2 (13) Peak VE (L/min) 89 (26) 60 (27) 96 (35) Peak Tidal Volume (L) 2.6 (1.3) 1.86 (0.88) 2.37 (0.71) Peak Breathing Frequency (/min) 43 (23) 31 (9) 33 (8) Peak SpO2 (%) 97 (93–100) 99 (94–100) 95 (73–98) PEAK exercise gas exchange values PaO2 (kPa) 13.3 (3.2) 13.8 (1.2) 13.7 (1.2) PaCO2 (kPa) 4.4 (1.1) 4.2 (0.7) 4.1 (0.7) PETCO2 (kPa) 4.4 (0.6) 4.3 (0.5) 4.8 (0.8) P(A-a)O2 difference (kPa) 2.8 (1.2) 2.1 (0.9) 2.6 (0.9) P(a-ET)CO2 difference (kPa) - 0.10 (0.25) −0.09 (0.37) −0.35 (0.53) Approximate entropy (ApEn) of ventilatory variables during incremental exercise ApEn Tidal Volume 1.61 (0.05) 1.28 (0.23) 1.02 (0.29) ApEn Breathing Frequency 1.40 (0.10) 1.41 (0.20) 1.32 (0.21) ApEn Minute Ventilation 1.22 (0.11) 0.97 (0.30) 0.65 (0.23) Data shown as mean (SD) or median (range);M:F: Male:Female;BMI: body mass index;FEV1: forced expiratory volume in the first second;FVC: forced vital capacity;SpO2;oxygen saturation;CPET: cardiopulmonary exercise test;VO2: oxygen consumption;VE:ConclusionsPost COVID BPD can be characterised by application of non-linear statistical modelling of exercise ventilatory data. This approach now needs further validation to facilitate application in automated CPET equipment, to identify and highlight this important differential diagnosis.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132960570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P143 ‘It gives you that hope, knowing that you are not alone’ – the journey of COVID-19 recovery and the rehabilitation boat","authors":"C. Gerlis, A.C. Barradell, N. Gardiner, E. Chaplin, Acn Watt, S. Singh, E. Daynes","doi":"10.1136/thorax-2021-btsabstracts.252","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.252","url":null,"abstract":"P143 Figure 1The over-arching themes, sub-themes and illustrative quotes[Figure omitted. See PDF]ConclusionsAttending rehabilitation for COVID-19 was considered acceptable and important part of recovery and a positive experience. The opportunity to share the experience with others in the same boat was highly valued in the context of an unexpected and potentially lonely COVID-19 recovery.ReferencesPHOSP-COVID Collaborative Group, Evans R, McAuley H. Physical, cognitive and mental health impacts of COVID-19 following hospitilisation - a multi-centre prospective cohort study. MedRxiv. 2021.Daynes E, Gerlis C, Chaplin E, Gardiner N, S Singh. Early experiences of rehabilitations for patients post-COVID to improve fatigue, breathlessness, exercise capacity and cognition. CRD. 2021.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"748 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117001399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P130 Prognostic value of the initial chest computerised tomography scan at one year following infection in an ethnically diverse cohort of patients admitted to hospital for COVID-19","authors":"D. Pan, R. Patil, Jy Kuah, S. Sze, A. Bellass, S. Assadi, R. Machin, DT Barnes, P. Rao, J. Broznik, Cameron W. Martin, J. Nazareth, R. Evans, S. Siddiqui, L. Wain, P. Haldar, LJ Gray, C. Brightling, I. Das, M. Pareek","doi":"10.1136/thorax-2021-btsabstracts.239","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.239","url":null,"abstract":"P130 Figure 1Features of COVID-19 on the CT were very common in hospitalised patients and were related to all-cause mortality one year following hospitalisation[Figure omitted. See PDF]ConclusionEvidence of COVID-19 pneumonia on CTT is more common and severe in patients from ethnic minority groups and is independently associated with worse prognosis following hospitalisation.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127139373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P137 The impact of ethnicity on the long-term sequelae of COVID-19: follow-up from the first and second waves in North London","authors":"SB Naidu, AJ Shah, A. Saigal, Sebastian Brill, H. Jarvis, JG Goldring, E. Wey, D. Miller, I. Abubakar, J. Hurst, M. Lipman, S. Mandal","doi":"10.1136/thorax-2021-btsabstracts.246","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.246","url":null,"abstract":"P137 Table 1Demographics, admission severity and follow-up symptomsVariable White N = 603 Asian N = 252 Black N = 130 Other N = 122 p-value Age 65 ± 16.5 59 ± 15.4 59 ± 13.9 59 ± 14.7 <0.001 Male (%) 372 (62) 148 (59) 72 (55) 81 (66) 0.28 Index of deprivation* 6 (3–7) 6 (4–8) 5 (3–7) 5 (3–7) 0.03 Body mass index 27.1 (23.5–30.5) 26.0 (23.7 – 29.2) 28.9 (25.9 – 34.7) 26.7 (25.1 – 30.9) <0.001 Hypertension (%) 244/583 (42) 113/247 (46) 72/125 (58) 40/119 (34) 0.001 Cardiovascular disease (%) 133/415 (32) 45/166 (27) 15/86 (17) 16/73 (22) 0.02 Diabetes (%) 122/583 (21) 80/247 (32) 45/125 (36) 40/119 (34) <0.001 Respiratory disease (%) 124/416 (30) 39/167 (23) 21/91 (23) 16/70 (23) 0.25 Chronic kidney disease (%) 61/583 (11) 29/247 (12) 27/125 (22) 9/119 (8) 0.002 Any mental health (%) 77/583 (13) 23/247 (9) 8/125 (6) 17/119 (14) 0.08 Smoking history (%) 250/587 (43) 43/244 (18) 44/127 (35) 44/118 (37) <0.001 Clinical frailty score 3 (2–4) 2 (2–4) 3 (2–4) 3 (2–3) 0.11 NEWS2 4 (2–6) 4.5 (3–6) 5 (3–6) 5 (3–7) 0.3 Respiratory support 80/564 (14) 47/236 (20) 23/116 (20) 21/118 (18) 0.15 Follow-up symptoms MRC score* 2 (1–3) 2 (1–3) 2 (1–3) 2 (1–2) 0.61 Cough improved (%) 414/553 (75) 177/232 (76) 85/118 (72) 87/113 (77) 0.8 Fatigue improved (%) 451/552 (82) 193/228 (85) 109/122 (89) 88/115 (77) 0.05 Sleep improved (%) 342/536 (64) 155/228 (68) 76/117 (65) 68/112 (61) 0.57 Burden of symptoms* 1 (0–2) 1 (0–2) 1 (0–2) 1 (0–2) 0.78 Returned to work (%) 142/256 (56) 77/139 (55) 29/64 (45) 41/71 (58) 0.45 Felt back to normal (%) 256/439 (55) 112/186 (60) 62/103 (60) 43/78 (55) 0.87 Positive PHQ-2 (depression screening) 65/580 (11) 40/242 (17) 12/126 (10) 11/116 (10) 0.09 Positive TSQ (post-traumatic stress screening) 42/601 (7) 16/248 (7) 13/130 (10) 8/122 (7) 0.6 *Non-parametric data presented as median ± interquartile range, all other data presented as mean ± standard deviation.DiscussionOur data demonstrate that despite having more co-morbidities associated with worse outcomes, adults from BAME backgrounds who are discharged from hospital following COVID-19 are no more likely to experience symptoms consistent with ‘Long CO ID’. However, given the increased risk of infection among BAME communities, we must ensure that reducing health inequalities remain central to the UK health agenda.ReferenceSze, et al. EClinicalMedicine 2020. doi:10.1016/j.eclinm.2020.100630","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129968640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P131 The degree of acute respiratory support with COVID-19 pneumonia, smoking status on admission and non-resolving CT features at three months- are there links?","authors":"H. Karimzadeh, R. Penfold, U. Nnajiuba, A. Wight","doi":"10.1136/thorax-2021-btsabstracts.240","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.240","url":null,"abstract":"P131 Table 1Max FiO2/Resp support 21% ≤ 35% 40%≤ 60% CPAP/HFNO IPPV No. patients 10 8 11 16 5 Age (mean) 62.1 71.6 62.5 62.7 51.6 Mean fibrosis score (0–25) 8.5 7.0 11.6 9.23 18.6 Mean pneumonitis score (0–25) 6.7 9.6 7.5 15.2 22.6 M: F ratio 7:3 3:5 6:5 10:6 4:1 Ex-smokers*% 50 75 64 33 20 Current smokers* 0 0 0 0 0 *smoking status at time of admission was available on 42/50 patientsConclusionsWe noted significant risk for developing post-Covid pneumonic fibrotic changes even in clinically mild cases. With SpO2 at times of peak incidence being main indicator for CXR and/or admission we surmise there may be a significant unrecognized population without an initial CXR to prompt follow-up. It is not clear whether these patients will develop significant symptoms to prompt future investigations and what impact this might have. No patients developing ongoing CT changes were current smokers- a topic we suggest for further study and correlation.ReferencesMcGroder CF, et al. Pulmonary fibrosis 4 months after COVID-19 is associated with severity of illness and blood leucocyte telomere length. Thorax29April 2021. doi:10.1136/thoraxjnl-2021-217031Xiaoyu Han, et al. Six-month follow-up chest CT findings after severe COVID-19 pneumonia. Radiology 2021;299:1, E177–E186.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126790512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P136 The relationship between symptoms and functional physiological outcomes in survivors of severe COVID-19 pneumonia","authors":"P. Zamani, S. Mehrotra, D. Griffin, R. D’Cruz, S. Mathew, A. Byrne, M. Choudhury, T. Fleming, P. Cho, D. Walder, R. Madula, L. Smith, P. Macedo, S. Norton, S. Birring, A. Patel, I. Patel, F. Perrin, M. Waller, C. Jolley","doi":"10.1136/thorax-2021-btsabstracts.245","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.245","url":null,"abstract":"P136 Table 1Results of correlation analysis Correlation analysis 4MGS 1STSreps SpO2% desaturation Results r p-value r p-value r p-value Pre-COVID mMRC dyspnoea score 0(0–1) -0.267** <0.001 -0.285** <0.001 -0.108 0.094 Post-COVID mMRC dyspnoea score 1(0–2) -0.442** <0.001 -0.457** <0.001 -0.143* 0.025 NRS breathlessness 3(0–5) -0.287** <0.001 -0.406** <0.001 -0.490 0.445 NRS fatigue 3(0–5) -0.315** <0.001 -0.379** <0.001 -0.190* 0.003 NRS cough 0(0–2) -0.660 0.292 -0.153* 0.017 0.083 0.194 NRS pain 1(0–4) -0.278** <0.001 -0.346** <0.001 -0.188* 0.003 NRS sleep difficulty 2(0–5) -0.246** <0.001 -0.386** <0.001 -0.122 0.057 Data are presented as median (interquartile range) or frequency (proportion%;95% confidence interval). SpO2% desaturation = SpO2% desaturation from baseline during 1 minute sit to stand test;1STSreps = repetitions per minute during 1 minute sit to stand test;4MGS = 4 metre gait speed;mMRC = modified Medical Research Council;NRS = 0 – 10 numerical rating scale;r = Spearman correlation coefficient. *indicates statistical significance at 0.05 level. **indicates statistical significance at 0.001 level.ConclusionRespiratory symptoms were not strong predictors of 4-metre gait speed and 1-minute sit-to-stand test performance. These data highlight the importance of face-to-face testing to objectively assess functional limitation in patients recovering from severe COVID pneumonia.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127662258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P132 Intermediate follow up of radiological interstitial changes for COVID-19 patients over the first year post discharge: a longitudinal study","authors":"JC Gates, A. Draper, J. Moser, J. Arberry, D. Jajbhay, J. Panaguiton, E. Yarham, Y. Ong, R. Aul","doi":"10.1136/thorax-2021-btsabstracts.241","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.241","url":null,"abstract":"P132 Table 1Follow up symptoms and radiological findings at first and second assessment post discharge. Analysed by Wilcoxon Rank Sum, median (range) First timepoint Second timepoint P value Clinic assessment (months post discharge) 1.5 (1–3) 9 (6–12) CT scan (months post discharge) 2.5 (1–4) 8 (6–12) MRC score 3 (2–4) 1 (1–3) <0.0001 CAT score 12 (7–18) 6 (4–14) 0.002 Numbers of CT performed 81 35 Numbers of CTs performed for isolated ground glass abnormalities (PCVCT1+2) 47 13 Numbers of CTs performed for fibrosis plus ground glass changes (PCVCT3) 34 22 ConclusionThose patients found to have PCVCT3 changes on initial CT should receive long term follow up as a proportion (approximately 9%) of them may develop progressive fibrotic changes. However this is likely to only represent less than 1% of all COVID-19 patients discharged from hospital. Longer term follow up is needed to determine the ongoing trajectory of these interstitial changes. These patients may potentially benefit from clinical trials in the future for the use of antifibrotics.ReferencesHuang C, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet 2021;397:220–32.BSTI. BSTI Post-COVID-19 CT Report Codes. BSTI 22-May-2020.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117190803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P138 Progress of COVID-19 survivors and the impact of the infection on their ability to return to work","authors":"Siaw Hui Min, M. Ahmed, S. Mason, A. Keegan, P. Vetrivel, P. Verma, R. Huang, Y. Ko, C. Apthorp, A. Twabie, C. Moret, H. Badrī, J. Hoyle, A. Flatt, E. Bruchez, N. Nwosu, L. Watkins","doi":"10.1136/thorax-2021-btsabstracts.247","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.247","url":null,"abstract":"P138 Table 1Employment status of COVID-19 dischargesN 138 Essential services 41 (30) Office/admin 37 (27) Healthcare 16 (12) Non essential services 15 (11) Public transport 10 (7) Enforcement 4 (3) Heavy Goods Vehicle driver 3 (2) Carers 2 (1) Unknown 10 (7) ConclusionOur preliminary data suggests significant symptom burden within 6 weeks post discharge after a COVID-19 infection admission, which may impact on the ability of patients to return to work. In the present analysis there was no significant interaction between return-to-work status and covid severity.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130291900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P139 The symptomatology of long COVID patients in cheshire and merseyside","authors":"S. Kimyongur, G. Heppenstall-Harris, A. Barnes, A. Flatt, E. Bruchez, M. Stolbrink, N. Nwosu, L. Watkins, G. Tack","doi":"10.1136/thorax-2021-btsabstracts.248","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.248","url":null,"abstract":"P139 Table 1Percentage of patients reporting various symptoms of Long COVIDSymptom Percentage of patients Fatigue 98% Worsening breathlessness 97% Cognitive symptoms 91% Myalgia 66% Chest pain 47% Ongoing cough 46% Anosmia 45% DiscussionPatients experience significant worsening breathlessness and fatigue. This significant symptom burden emphasises the need for dedicated Long COVID assessment hubs to support patients. Further research should investigate whether pulmonary rehabilitation and dedicated psychological input can improve patients’ symptoms.ReferenceNHS England and NHS Improvement (2021). Long COVID: the NHS plan for 2021/22.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"P135 Clinical, functional and psychological characteristics of survivors of severe COVID-19 pneumonia: a comparison of outcomes from the first and second waves","authors":"D. Griffin, R. D’Cruz, S. Mehrotra, P. Zamani, F. Perrin, A. Byrne, S. Matthew, M. Choudhury, L. Smith, R. Madula, P. Cho, T. Patrick, D. Walder, J. Periselneris, J. Kavanagh, K. Lee, W. McNulty, P. Macedo, G. Warwick, A. Heitmann, R. Lyall, J. Galloway, S. Norton, S. Birring, A. Patel, I. Patel, M. Waller, C. Jolley","doi":"10.1136/thorax-2021-btsabstracts.244","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.244","url":null,"abstract":"P135 Table 1Patient demographics, self-reported scores and functional test results by wave 1st wave 2nd wave p-value Demographics n=167 n=141 Age 59±13 58±12 0.564 Female 60 (35.93;28.94–43.40) 62 (43.97;35.97–52.22) 0.15 BMI (kg/m2) 30.5 (26.6–35.2) 32.1 (28.5–37.9) 0.009 ** BAME 115 (69.7;62.39–76.32) 72 (59.5;50.62–67.94) 0.073 Number of comorbidities 2 (1–3) 2 (1–3) 0.144 Patients Receiving Drugs Dexamethasone 11 (6.63;3.57–11.17) 138 (97.87;94.43–99.40) <0.001 *** Remdesivir 18 (10.84;6.79–16.24) 81 (57.45;49.20–65.39) <0.001 *** Other Immunomodulator 2 (1.20;0.25–3.81) 31 (21.99;15.76–29.35) <0.001 *** Questionnaire Scores n=164 n=132 NRS Breathlessness 2 (0–5) 3 (0–5) 0.153 ≥4 56 (34.78;27.75–42.36) 52 (37.14;29.47–45.34) 0.67 NRS Cough 0 (0–2) 0 (0–3) 0.439 ≥4 17 (10.56;6.52–16.00) 18 (13.64;8.59–20.26) 0.419 NRS Fatigue 3 (0–5) 3 (0–5) 0.867 ≥4 65 (40.63;33.24–48.35) 48 (36.92;28.99–45.43) 0.52 NRS Pain 0 (0–5) 1 (0–3) 0.682 ≥4 44 (27.50;21.03–34.78) 30 (23.08;16.48–30.86) 0.39 NRS Sleep disturbance 2 (0–5) 2 (0–5) 0.558 ≥4 52 (32.50;25.61–40.02) 49 (37.40;29.47–45.89) 0.382 Pre-COVID-19 mMRC 1 (0–2) 1 (1–2) 0.478 Post-COVID-19 mMRC 0 (0–1) 0 (0–1) 0.329 Post-COVID-19 mMRC ≥2 66 (40.99;33.61–48.70) 49 (38.58;30.45–47.23) 0.678 PCFS 2 (0–3) 1 (0–2) 0.055 PCFS ≥2 80 (50.00;42.31–57.69) 51 (42.15;33.62–51.05) 0.191 PHQ-9 ≥10 32 (20.38;14.66–27.19) 29 (23.02;16.33–30.92) 0.592 GAD-7 ≥10 34 (21.38;15.56–28.24) 16 (12.80;7.81- 19.49) 0.059 TSQ ≥6 43 (27.56;21.01–34.94) 27 (22.31;15.60–30.33) 0.319 Functional Tests n=160 n=139 4MGS <0.8 (ms-1) 67 (42.41;34.89–50.19) 47 (35.07;27.38–43.40) 0.201 1STS repetitions 18 (12–23) 17 (12–21) 0.460 <2.5 percentile 96 (60.00;52.29–67.36) 108 (77.70;70.25–84.00) 0.011 * Desaturation ≥4% 52 (34.67;27.40–4 .52) 42 (32.31;24.73–40.67) 0.677 Parametric data are presented as mean ± standard deviation, non-parametric data are presented as median (interquartile range) or frequency (proportion;95% confidence interval). Statistical significance indicated by * (p<0.05), ** (p<0.01), *** (p<0.001). BMI = Body mass index, BAME = Black, Asian or minority ethnic, NRS = Numerical rating scale (0–10), mMRC = modified Medical Research Council for dyspnoea (0–4), PCFS = Post-COVID-19 functional status scale (0–4), PHQ-9 = Patient health questionnaire 9 (0–27), GAD-7 = General Anxiety Disorder-7 scale (0–21), TSQ = Trauma screening questionnaire (0–10), 4MGS = 4-metre gait speed, 1STS = 1-minute sit-to-stand.ConclusionDespite shorter admission duration, and less frequent IMV, the burden of symptoms and functional limitation experienced post-hospitalisation for severe COVID-19 pneumonia was at least as severe during Wave 2 as in Wave 1. Identification of contributing factors and impact on post-COVID rehabilitation outcomes requires further study.","PeriodicalId":238520,"journal":{"name":"COVID-19 recovery: predicting long term outcomes","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132563279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}