1 00:00:01,200 --> 00:00:04,740 So could you just start by saying your name and your position at the moment? 2 00:00:06,750 --> 00:00:17,580 My name is Betty Rahman. I'm a senior academic cardiologist in the Department of Medicine and at the British Heart Foundation, 3 00:00:18,000 --> 00:00:23,430 Centre for Research Centre of Research Excellence. Intermediate Transition Clinical Research Fellow. 4 00:00:23,910 --> 00:00:30,060 Well, that's quite a mouthful. Yes. And you're based in the Oxford Centre for Magnetic Resonance Imaging? 5 00:00:30,240 --> 00:00:36,030 Yes, that's right. So I'm working in Okayama, Radcliffe, Department of Medicine. 6 00:00:37,200 --> 00:00:44,249 And first of all, just you don't have to tell me your entire life story, but if you just give me the headlines, how did you get to where you are now? 7 00:00:44,250 --> 00:00:50,069 How did you first get interested in medicine and how did you come to specialise in cardiology and. 8 00:00:50,070 --> 00:00:54,930 And what interested you now? Yeah, sure, of course. So I'm Indian and ethnic origin. 9 00:00:55,710 --> 00:01:04,320 My parents and great my grandparents and great grandparents come from the southernmost tip of India, a place called Kanyakumari. 10 00:01:05,370 --> 00:01:13,650 I was when I was young. My father, who's a doctor, had done a lot of inspirational work in the field of cardiology, 11 00:01:14,490 --> 00:01:19,920 and that was part of my part of the inspiration to pursue medicine. 12 00:01:20,460 --> 00:01:27,930 But I've also generally enjoyed biology and chemistry, which are both integral for medicine. 13 00:01:28,740 --> 00:01:32,490 So that's the reason I picked up medicine. 14 00:01:33,240 --> 00:01:40,290 I grew up in a place called Aman in the Middle East and moved to Australia to pursue medicine. 15 00:01:40,950 --> 00:01:47,070 So at the age of 17 I was I was sent to Australia, 16 00:01:47,400 --> 00:01:57,300 playschool Adelaide in Australia where I undertook my bachelor's in medicine and then specialised in cardiology there. 17 00:01:58,110 --> 00:02:03,479 And in Australia was I became quite interested in cardiovascular research in 18 00:02:03,480 --> 00:02:12,330 particular how people develop heart failure and the role of imaging in heart failure. 19 00:02:12,660 --> 00:02:22,140 But I also was exposed to internal medicine where we had to learn about all parts of the body and just including mental health. 20 00:02:22,770 --> 00:02:34,770 So I've had a very balanced exposure to medicine and during my clinical training in Australia I realised that I was really passionate about research. 21 00:02:35,160 --> 00:02:39,090 So after completing my cardiology specialisation in Australia, 22 00:02:39,870 --> 00:02:47,550 I applied to do a dphil here in the University of Oxford and got a fellowship to carry on the academic work. 23 00:02:48,390 --> 00:02:52,740 And is that what you're still doing at the moment of you finish your dphil. So I finished my Dphil Right. 24 00:02:52,740 --> 00:02:59,700 And so the subject was an inherited heart condition called hypertrophic cardiomyopathy. 25 00:03:00,210 --> 00:03:07,800 It's most common genetic heart disease and also a leading cause of sudden death in young adults and athletes. 26 00:03:09,020 --> 00:03:20,760 So during my dphil, I learned how to refine our ability to predict those who can develop progressive heart disease and who may die all of a sudden. 27 00:03:21,420 --> 00:03:27,240 And during the dphil, I had a very productive period where I discovered an oxygen sensitive MRI approach, 28 00:03:28,050 --> 00:03:34,320 which allowed me to then tell us more about the risk of someone dying with this condition. 29 00:03:35,310 --> 00:03:40,140 So tell me a bit more about MRI for the benefit of people who might listen to this in the future. 30 00:03:40,680 --> 00:03:45,570 How did you come to focus on that as a tool that could help answer the kinds of questions you were interested in? 31 00:03:45,720 --> 00:03:56,820 Yes. So MRI is a fascinating technology and it utilises the magnetic property of the tissues to provide images, 32 00:03:56,820 --> 00:04:02,370 which essentially a virtual autopsies or sections of the body. 33 00:04:03,150 --> 00:04:08,040 It provides quite extensive detail about the tissue characteristic. 34 00:04:09,240 --> 00:04:18,389 In particular, it is able to look into the tissue and tell you whether there's a scar in the organ, 35 00:04:18,390 --> 00:04:27,210 whether there's any signs of inflammation or whether there are any problems with the small blood vessels that supply blood or oxygen to the tissue. 36 00:04:27,480 --> 00:04:39,750 So it's like it's an amazing tool that is able to perform almost a virtual non-invasive autopsy in a living person. 37 00:04:39,750 --> 00:04:49,950 So the technology was you know, it was clearly extremely of extremely interesting to to myself and a lot of specialists across the UK. 38 00:04:49,950 --> 00:04:56,640 You'll find that this technology is now ubiquitous and it's being utilised in many disciplines and it's very safe for patients. 39 00:04:56,970 --> 00:05:00,720 And it is safe and there's no really. Involved. 40 00:05:01,350 --> 00:05:11,520 So yeah, so it's a great technology which provides quite a lot of detail that we wouldn't be able to access, say, 30 years ago. 41 00:05:12,780 --> 00:05:21,000 Well, moving on to the the COVID pandemic. Can you remember where you were or how you first heard that there was something going on in China? 42 00:05:21,690 --> 00:05:28,050 And how soon did you realise that that might be something that was going to affect your work? 43 00:05:28,500 --> 00:05:39,750 Absolutely. So I had just returned from Oman, which is where my parents, beside having just had a wonderful wedding with my partner. 44 00:05:39,750 --> 00:05:50,520 So which month? So this was in December. And I was looking forward to rising to starting my BHF Transition Intermediate Clinical Research Fellowship, 45 00:05:51,120 --> 00:05:55,650 which was really aimed to study hypertrophic cardiomyopathy. 46 00:05:56,430 --> 00:06:03,540 However, not long after I'd arrived back from Amman, arrived here in the UK. 47 00:06:04,410 --> 00:06:06,060 This was around February. 48 00:06:06,360 --> 00:06:17,520 We started hearing reports of COVID 19 in China, and I had a meeting with my mentor, who's the head of the department here, Professor Stefano Oyibo, 49 00:06:18,570 --> 00:06:27,240 and we were just talking about how unbelievable the situation was and how we had hoped that the that it 50 00:06:27,240 --> 00:06:32,340 wouldn't escalate because at the time there were reports only in China and a couple of other countries, 51 00:06:32,340 --> 00:06:39,000 but it hadn't really affected the UK or any of the European countries or even the United States. 52 00:06:39,390 --> 00:06:54,540 So we were really just speculating on, on, you know, how, how incredible this, this, this disease is and how there's so many unanswered questions. 53 00:06:54,840 --> 00:07:04,560 And in a couple of meetings later, we we started talking about some reports that had come out of people who were admitted to hospital, 54 00:07:05,340 --> 00:07:10,350 but who had signs of quite extensive multiorgan injury. 55 00:07:11,280 --> 00:07:19,799 And Professor Stefano and I were saying, well, wouldn't be interesting if we if we studied and study these people who are acutely 56 00:07:19,800 --> 00:07:24,930 unwell with with an MRI scan to see how it's affecting the various organs. 57 00:07:26,100 --> 00:07:30,419 And and, of course, we we thought about it at the time, 58 00:07:30,420 --> 00:07:37,020 but it was clear that we couldn't undertake an acute study because of the infection risk to people, the many unknowns. 59 00:07:37,890 --> 00:07:45,360 And so we started thinking of how our knowledge and skills could be put to use in these difficult times. 60 00:07:45,660 --> 00:07:50,850 And we we then considered perhaps a more long term study where we would look 61 00:07:50,850 --> 00:07:56,430 at or assess people after they had they'd recovered from the acute infection. 62 00:07:57,180 --> 00:08:03,149 And just to see whether there were any lingering effects of the infection on other organs, 63 00:08:03,150 --> 00:08:10,350 but also on the general health of the individuals or how they felt not just from a physical level, 64 00:08:10,350 --> 00:08:15,600 but also a mental health level, but also from a memory cognition perspective. 65 00:08:15,990 --> 00:08:20,910 So you were thinking about all that before the concept of long COVID had even been recognised? 66 00:08:20,940 --> 00:08:22,140 Yes, absolutely. 67 00:08:23,040 --> 00:08:31,769 So yeah, that was quite unique because I think it I mean, it was just an idea that that I had when we were saying, you know, I said, well, you know, 68 00:08:31,770 --> 00:08:38,730 it really affects I was telling Stephane it really affects people so severely that they need to go into ICU and, 69 00:08:38,940 --> 00:08:42,209 you know, they need to be ventilated for such a prolonged period of time. 70 00:08:42,210 --> 00:08:44,340 Surely it's going to affect their other organs, you know? 71 00:08:44,610 --> 00:08:53,500 And this is before the first report came out and then before you know it, there were multiple reports, there was mortem studies and also, you know, 72 00:08:53,520 --> 00:08:57,870 prospective studies of hospitalised patients where it was clear that the virus was 73 00:08:57,870 --> 00:09:04,079 not just an ordinary influenza virus or just another virus that one could get over, 74 00:09:04,080 --> 00:09:12,630 but that a significant proportion who were admitted to hospital was succumbing to the illness and not making it out of hospital. 75 00:09:13,590 --> 00:09:18,270 So, so. So so that was one of the reasons why we thought, well, you know, 76 00:09:18,270 --> 00:09:24,089 this is a severe illness and it is going to affect, you know, a lot of the faculties. 77 00:09:24,090 --> 00:09:31,260 Like it's not just going to be the lungs. You know, we had a hunch back then that it would affect other organs as well. 78 00:09:32,130 --> 00:09:38,640 So you were going to need patients to study. And soon enough it was quite obvious there were going to be patients in the UK. 79 00:09:38,640 --> 00:09:40,170 So if we just skip on to March, 80 00:09:40,650 --> 00:09:51,180 how did the arrival of the pandemic and the mitigation measures that were put in place immediately affect the work that you were doing? 81 00:09:52,140 --> 00:09:59,370 So fortunately, Oxford has been a hub for research, not just in COVID but in other infectious diseases. 82 00:09:59,490 --> 00:10:11,280 So we were we were relatively optimistic that we would have some we would have some support to carry on the the research that we were planning. 83 00:10:11,850 --> 00:10:15,780 And indeed, that is what unfolded over the months to come. 84 00:10:16,560 --> 00:10:19,830 And, you know, that was actually quite yeah, 85 00:10:20,220 --> 00:10:28,860 that was an enormous support for us because we had the trust as well as the university, encouraging us to carry on our research. 86 00:10:29,760 --> 00:10:38,070 And so that didn't affect us as much. But of course, all the other research that I had been funded to carry out had to be suspended. 87 00:10:38,570 --> 00:10:48,750 And we shifted our focus to the pandemic and to trying and trying to understand how this infection will affect people. 88 00:10:48,990 --> 00:10:54,000 And did you have to get new funding for that to where you wanted the BHF, let you move your funding across? 89 00:10:54,030 --> 00:10:54,410 Yes. 90 00:10:54,420 --> 00:11:07,500 So we did apply for funding to the BRC and I assure Oxford, BRC, who supported us with some pilot funding to gather some pilot data on 50 subjects. 91 00:11:07,950 --> 00:11:10,739 And then we applied for national funding, 92 00:11:10,740 --> 00:11:19,770 which also which was also successful to study a large number of patients of 500 subjects with advanced MRI data. 93 00:11:20,340 --> 00:11:32,430 And we're collaborating quite closely with another national follow up study called FOS COVID, which which are designed to study 10,000 patients, 94 00:11:33,120 --> 00:11:37,019 but not to look at the multi-organ MRI scans, 95 00:11:37,020 --> 00:11:44,640 but to collect all the other sort of quality of life and symptom data from people as they recover from COVID 19. 96 00:11:44,760 --> 00:11:49,790 And this cost stands for post hospitalisation. COVID said yes, yes. 97 00:11:50,790 --> 00:11:57,480 And so. So the patients you focussed on have all been ones who've been ill enough to be in hospital, is that right? 98 00:11:57,750 --> 00:12:03,450 Yes. So the original hypothesis was that if you were ill enough to get into hospital, 99 00:12:03,450 --> 00:12:06,660 that the disease was severe enough to potentially affect other organs, 100 00:12:07,020 --> 00:12:13,320 whether it was directly from the virus infecting the organs or the immune response to the virus that was causing it. 101 00:12:13,840 --> 00:12:22,979 So although we've learned now following the initial data that there are studies now out there that are 102 00:12:22,980 --> 00:12:27,750 detecting abnormalities even in people who are recovering in the community who didn't end up in hospital. 103 00:12:28,710 --> 00:12:34,350 And that's that's an interesting observation. And we're trying to understand why that is. 104 00:12:35,790 --> 00:12:39,450 I mean, are you thinking of collecting that kind of data yourselves? 105 00:12:39,870 --> 00:12:48,570 Yes. So we've started now also studying people who didn't get admitted to hospital, but recovered, recovered at home, 106 00:12:48,900 --> 00:12:57,780 as we know that a proportion of these people continue to have ongoing symptoms, which we now know is called long COVID. 107 00:12:58,680 --> 00:13:06,540 And actually the number of people who didn't get admitted to hospital is far greater than those who were admitted to hospital. 108 00:13:06,870 --> 00:13:12,839 So so we're trying to understand whether the reason why they continue to have symptoms is because 109 00:13:12,840 --> 00:13:20,370 of multiple organ involvement or whether there's something else that we can try and decipher. 110 00:13:21,360 --> 00:13:24,760 So that's what we talked about, the studies we should talk about the findings. 111 00:13:24,790 --> 00:13:31,950 This is, first of all, starting with the hospital patients. You had a big publication out for December or January. 112 00:13:32,280 --> 00:13:38,070 Yeah, that's right. Yes, yes, yes. So what what were your findings in the in the hospitalised patients. 113 00:13:38,160 --> 00:13:44,250 Yeah, this is really quite interesting. So we looked at a small number of patients but we, 114 00:13:44,250 --> 00:13:52,170 we were quite careful in making sure that the that we compared them to people who had 115 00:13:52,170 --> 00:13:59,160 similar co-morbid conditions or similar co-morbidities like diabetes and hypertension, 116 00:13:59,580 --> 00:14:11,760 because we were concerned that MRI can be quite sensitive and even conditions like diabetes and hypertension can cause changes on the MRI, 117 00:14:12,480 --> 00:14:14,970 which may not be related to COVID 19. 118 00:14:15,330 --> 00:14:25,590 So we decided to study 58 patients who were discharged from hospital and who were about 2 to 3 months from their infection. 119 00:14:26,130 --> 00:14:32,610 And alongside we also enrolled people who were not affected by COVID 19, 120 00:14:32,610 --> 00:14:39,600 so had a negative PCR test and had no symptoms of COVID 19, but could also be in hospital. 121 00:14:39,810 --> 00:14:44,910 So unfortunately we couldn't we couldn't study hospitalised patients because of 122 00:14:44,910 --> 00:14:48,870 the risk that we would be exposing them to by asking them to come in to hospital. 123 00:14:49,170 --> 00:14:59,340 So they were done at the time. Hospitalised patients from other conditions who had not had COVID 19 were were asked to go. 124 00:14:59,490 --> 00:15:08,490 Home and stay in self-isolation. So it was it was very difficult to get, get, get people who are hospitalised but didn't have COVID 19. 125 00:15:09,630 --> 00:15:16,680 So yeah, so we compared people who were recovering from COVID 19 after being admitted to hospital and controls, 126 00:15:16,920 --> 00:15:25,140 and we found that a proportion had changes on the MRI scan to suggest that there might be inflammation of the organs. 127 00:15:25,980 --> 00:15:40,380 And and in addition to this, you know, a significant proportion, two and three people had reported symptoms of persistent breathlessness, 128 00:15:40,470 --> 00:15:49,230 fatigue, brain fog, the range of symptoms that we now know is long COVID with two out of three. 129 00:15:49,680 --> 00:15:53,280 Two out of three. Yeah. So it is indeed high. And in fact, 130 00:15:54,120 --> 00:16:03,870 this is an underestimation because we we excluded people with many comorbidities because we couldn't find controls with many comorbidities. 131 00:16:03,870 --> 00:16:04,590 So we had to be. 132 00:16:05,160 --> 00:16:17,150 So things like if they've had chronic lung disease like COPD, we didn't include them or, you know, previous myocardial infarction or heart attacks. 133 00:16:18,180 --> 00:16:24,569 It wasn't easy for us to quickly find controls and non-covid subjects with multiple comorbidities. 134 00:16:24,570 --> 00:16:29,670 So we were quite careful in trying to make sure that the that the two groups that we, 135 00:16:29,670 --> 00:16:38,580 we were studying were similar in characteristics to come to some conclusion about whether these changes were related to COVID or not, 136 00:16:39,360 --> 00:16:43,860 although I appreciate that that still has its limitations, 137 00:16:44,340 --> 00:16:47,430 but I'll talk about it in a bit in the sense that it would be the most ideal 138 00:16:47,430 --> 00:16:52,020 design would be having an MRI before the infection and then after the infection. 139 00:16:53,250 --> 00:17:01,290 So see, so, so we found that a proportion had abnormalities in an MRI and two out of three had ongoing symptoms. 140 00:17:01,890 --> 00:17:08,760 You know, most people could not walk for a long time on a six minute walk test. 141 00:17:09,060 --> 00:17:13,890 And there were significant discrepancies and differences in exercise tolerance 142 00:17:14,130 --> 00:17:18,120 between people who were recovering from COVID 19 and a control subjects. 143 00:17:18,780 --> 00:17:25,559 And we also undertook cardiopulmonary exercise tests to see what could be contributing to the limited exercise tolerance. 144 00:17:25,560 --> 00:17:32,070 So we found a mixture of pattern, like some people had lung problems that were limiting them, some people had heart problems that were limiting them. 145 00:17:32,430 --> 00:17:36,780 And then there were others with just muscle deconditioning and muscle impairment. 146 00:17:37,200 --> 00:17:41,460 So we we got a lot of information from that small group, but, you know, 147 00:17:41,550 --> 00:17:52,410 carefully selected group of patients and have been following them up as well as expanding our numbers across the by recruiting people across the UK. 148 00:17:52,980 --> 00:17:56,490 And has that come to publication yet. But they didn't find enough, so no. 149 00:17:56,490 --> 00:18:05,850 So we are so that the national study is quite complex because it requires a lot of so so there 150 00:18:05,850 --> 00:18:11,220 are a lot of stakeholders and there has to be a lot of approvals to then release the data. 151 00:18:12,060 --> 00:18:18,540 We do have some preliminary data now which confirms or which is in line with early study. 152 00:18:18,540 --> 00:18:26,850 So it's reassuring to see that even with small numbers we saw the signals and the findings are reproducible in a larger dataset. 153 00:18:27,540 --> 00:18:33,450 But this is these are exciting times because we have we have now accumulated a lot of data. 154 00:18:33,870 --> 00:18:37,170 And in an era of artificial intelligence and machine learning, 155 00:18:37,440 --> 00:18:43,620 I suspect we we are going to have some really important and interesting insights from from this data, 156 00:18:44,100 --> 00:18:47,340 which we probably wouldn't have seen 20 years ago. 157 00:18:48,600 --> 00:18:52,709 So. Yes. So you said you've continued to follow up your original 50 patients. 158 00:18:52,710 --> 00:18:55,890 Absolutely. Are you able to say whether they got better? 159 00:18:56,040 --> 00:19:00,390 Yeah. So a proportion of people do get better and recover. 160 00:19:01,260 --> 00:19:05,669 But about this, there's still about 50%. 161 00:19:05,670 --> 00:19:13,530 So one and two that still continue to feel the effects of of COVID and have persistent symptoms. 162 00:19:13,800 --> 00:19:16,320 And again, after after six months. 163 00:19:16,710 --> 00:19:25,770 But I can tell you that we also have data now and that so the six month data has been published, but we also have data now from the 12 months. 164 00:19:26,010 --> 00:19:28,080 And again, this number doesn't change much at all. 165 00:19:28,950 --> 00:19:37,139 So being admitted to hospital seems to be quite an important risk factor for long-covid or ongoing symptoms. 166 00:19:37,140 --> 00:19:43,350 And this is certainly being found by other investigators who are studying the after-effects of COVID 19. 167 00:19:43,980 --> 00:19:48,360 One question I had just came up because I've been speaking to somebody else who is doing big 168 00:19:48,360 --> 00:19:53,790 data study is whether you've been able to look at people who've been hospitalised with flu, 169 00:19:53,790 --> 00:19:57,900 for example, with another serious respiratory disease that kills people. 170 00:19:58,320 --> 00:20:03,880 Yeah. So I'm sure you might have been you might be aware from the media coverage of this, 171 00:20:04,180 --> 00:20:12,340 the number of people getting admitted with the flu has declined dramatically because of social isolation and masking. 172 00:20:12,640 --> 00:20:19,420 So we're not seeing as many cases and recruitment of such patients is actually quite challenging. 173 00:20:19,840 --> 00:20:31,690 But we have data from retrospective health registries that suggest that despite looking or making comparisons with people recovering from the flu, 174 00:20:31,900 --> 00:20:40,750 there appears to be an increased risk of a number of the co-morbid a number of conditions, 175 00:20:40,750 --> 00:20:49,660 including cardiovascular abnormalities, as well as clots and strokes and people recovering from COVID 19, 176 00:20:50,500 --> 00:20:53,740 but do see some effects of long term effects of flu. 177 00:20:55,300 --> 00:20:59,410 So there are of course, there are people recovering from the flu. 178 00:21:00,130 --> 00:21:03,580 But again, not not the majority or not a significant proportion. 179 00:21:03,610 --> 00:21:09,099 People who get admitted to hospital with the flu in the literature in relation to 180 00:21:09,100 --> 00:21:14,950 this does not suggest a significant number continuing to experience symptoms. 181 00:21:16,780 --> 00:21:26,469 I must say, however, that Long-covid resembles other some other post-viral syndromes like glandular fever. 182 00:21:26,470 --> 00:21:30,700 So Epstein-Barr virus infections, herpes virus infection. 183 00:21:30,710 --> 00:21:39,490 So there are some other viruses that have been known to result in ongoing symptoms beyond the acute infection. 184 00:21:40,760 --> 00:21:42,640 Oh, I keep thinking of experiments to do. 185 00:21:43,360 --> 00:21:55,630 Has anybody looked at whether previous infection with transient fever has any effect on susceptibility to COVID or how seriously ill COVID is? 186 00:21:56,590 --> 00:22:00,840 I'm sure they have, but unfortunately I haven't read the paper. 187 00:22:00,880 --> 00:22:09,100 So because I have to say that these questions have been asked by people, and certainly not just to not just glandular fever, 188 00:22:09,100 --> 00:22:17,500 even as cytomegalovirus, people seem to think that the response body's response to this virus may determine whether you have ongoing symptoms. 189 00:22:18,400 --> 00:22:23,139 So these are all important questions that are that are being asked. 190 00:22:23,140 --> 00:22:27,820 And and and I'm happy to look it up, but I don't have the answers to it at the moment. 191 00:22:29,590 --> 00:22:38,560 So just returning for a moment to the case of people who were not hospitalised and may even had quite a mild infection and acute infection, 192 00:22:38,920 --> 00:22:42,280 but have gone on to have very long term symptoms. 193 00:22:42,280 --> 00:22:45,579 What do you what is the general picture at the moment? 194 00:22:45,580 --> 00:22:50,590 I know this hasn't been a particular focus of your work, but presumably it's something that interests you. 195 00:22:51,340 --> 00:22:59,979 Yes, almost certainly. So I think there is something in common between the community patients who carry on or who have 196 00:22:59,980 --> 00:23:06,100 lingering symptoms and those who were hospitalised and who still have symptoms by 12 months. 197 00:23:06,580 --> 00:23:15,250 It's highly unusual for someone to have had a viral infection and continue to have symptoms by 12 months from the infection. 198 00:23:15,250 --> 00:23:19,870 That's not something you'd hear like a year after you've had the infection, you still feeling the same way. 199 00:23:20,440 --> 00:23:23,440 So there's a lot that can be learned from the community patients. 200 00:23:23,440 --> 00:23:30,460 And and I would say that at the moment it isn't quite clear as yet what is driving this in the community patients. 201 00:23:30,880 --> 00:23:39,080 We have some we have done some research in the hospitalised patients that suggests an inflammatory signal that might be contributing to ongoing. 202 00:23:39,460 --> 00:23:50,440 I mean, can you explain that? Sure. So in about one in 1000 patients that were admitted to hospital by a median of five months 203 00:23:50,440 --> 00:23:58,150 from the time they were admitted with the infection and there were tests done on the 204 00:23:58,210 --> 00:24:04,210 blood samples were collected from these patients and we detected certain chemicals or 205 00:24:04,210 --> 00:24:11,590 cytokines which were shown to predict whether they'd continue to have symptoms by 12 months. 206 00:24:12,310 --> 00:24:22,570 And there were some cytokines or chemicals that were that independently predicted and these were also quite important for inflammation. 207 00:24:22,880 --> 00:24:25,900 So these are things that are produced during inflammatory response. 208 00:24:25,930 --> 00:24:37,840 Exactly. Yes. So so this is now the caveat is that this is in a hospitalised cohort and this was at five months, so not 12 months. 209 00:24:38,110 --> 00:24:43,720 So we do need to do more research, study what happens by 12 months. 210 00:24:44,620 --> 00:24:55,719 From my work, I know that there is a natural history, there are longitudinal changes in the the way the body responds to the disease. 211 00:24:55,720 --> 00:24:58,870 So over time the body's immune system. 212 00:24:59,290 --> 00:25:07,840 Becomes clever and smart and it's responds to the infection or the damage does evolve and some people improve and some people not might stay the same. 213 00:25:08,560 --> 00:25:16,360 So I think it's really important to get that time factor right and to understand how the immune system changes and responds to things over time. 214 00:25:16,660 --> 00:25:19,900 And that's something that we're we're currently doing. Mm hmm. 215 00:25:20,320 --> 00:25:24,310 So just turning to you a bit more. So you're clearly a very experienced cardiologist. 216 00:25:24,460 --> 00:25:27,460 But in terms of research, you've only just done your PhD. 217 00:25:28,240 --> 00:25:33,280 And this is quite a big, important study. Did you did that feel like a big step up for you? 218 00:25:34,930 --> 00:25:44,050 Yes. Well, I mean, I had done research in in Australia as well, and I had a really strong mentor who gave me a lot of confidence. 219 00:25:44,500 --> 00:25:53,280 And then, of course, I've got some really passionate mentors here as well to Professor Hugh Watkins and Professor Stefano Lebow, 220 00:25:53,290 --> 00:25:57,940 who always made me feel like there is no limit like that. 221 00:25:57,950 --> 00:26:02,470 You know, if you want to answer a question, you know, just go for it. 222 00:26:03,220 --> 00:26:09,430 Do the research as long as is well-designed and, you know, and the sky is basically the limit. 223 00:26:09,850 --> 00:26:15,940 So they've really empowered me and I've felt very blessed to be in this position, I have to say, 224 00:26:16,300 --> 00:26:25,420 because I don't know many Indian girls or women who have just finished their Ph.D. and have been allowed to lead a multi-center study. 225 00:26:25,430 --> 00:26:28,810 So it's easy. I do feel very privileged. Yeah. 226 00:26:29,560 --> 00:26:38,410 And in terms of your the the demands of the job, I mean, has it meant the hours have been intense? 227 00:26:38,680 --> 00:26:45,790 Absolutely, yes. So there have been many sleepless nights and I've worked every weekend. 228 00:26:46,780 --> 00:26:52,179 But I think I feel like this is an incredible opportunity. 229 00:26:52,180 --> 00:26:58,569 And I I'm sure if I live for another 20, 30 years, the average life expectancy of my family, 60. 230 00:26:58,570 --> 00:27:06,430 So but I'm sure that if if I live long enough, I look back thinking I'm glad I did that. 231 00:27:06,730 --> 00:27:16,810 You know, I'm I'm really glad I grabbed that opportunity and I went to help, you know, I contributed to that, to that, to understanding the disease. 232 00:27:17,170 --> 00:27:27,340 I also feel like Long-covid, unfortunately, is now being classified or is is being treated very much like chronic fatigue syndrome. 233 00:27:27,760 --> 00:27:35,170 And I feel like because doctors don't have any quick answers, they're quick to lose interest and to walk away. 234 00:27:36,160 --> 00:27:40,900 And I'm not going to do that. I'm going to I'm going to find some answers. 235 00:27:41,800 --> 00:27:45,310 So, I mean, I think we've done that in the past with chronic fatigue syndrome. 236 00:27:45,910 --> 00:27:56,380 And I just think that it would be like, you know, I think it's it would be criminal to not recognise that we don't we need to find answers for this. 237 00:27:57,680 --> 00:28:01,510 And Chronic Fatigue syndrome and some of the things I've read, 238 00:28:01,630 --> 00:28:06,100 there's a sense that that's being reassessed now that absolutely nice has changed its guidelines. 239 00:28:06,100 --> 00:28:09,830 Absolutely. To the idea that it's all in the head of the patients. 240 00:28:09,850 --> 00:28:10,120 Yeah. 241 00:28:10,390 --> 00:28:20,350 The thing is, that's the irony of it is the only at least this is my point of view, you know, could differ, you know, when you talk to other people. 242 00:28:20,740 --> 00:28:24,850 But I think part of this has to do with doctors falling sick. 243 00:28:25,420 --> 00:28:33,130 So when you have a colleague who has endured the same amount of training, who has endured the same amount of work as you have over the years, 244 00:28:33,520 --> 00:28:40,120 and they they attest to the fact that they are still experiencing ongoing symptoms, then it becomes more real. 245 00:28:40,120 --> 00:28:44,350 It's more close to you. And and people are willing to acknowledge it. 246 00:28:45,010 --> 00:28:50,409 And that includes even children or, you know, children of doctors who are experiencing it. 247 00:28:50,410 --> 00:28:54,819 So I think because of the scale of Long-covid and because of the fact that it's 248 00:28:54,820 --> 00:29:01,840 now crept into the medical system and it has affected many health professionals, 249 00:29:03,130 --> 00:29:12,850 the medical system is now paying some attention, but I can hear people turning their back and saying, we don't have answers and we can't solve this. 250 00:29:13,840 --> 00:29:17,560 But I believe that we can and I think we will. So. 251 00:29:18,520 --> 00:29:22,060 And have you personally or your family been affected by the disease? 252 00:29:22,420 --> 00:29:27,280 So I've been I've had COVID myself twice despite being vaccinated. 253 00:29:27,880 --> 00:29:36,220 And I endured the symptoms for two weeks and I cried two weeks, two weeks, and I cried. 254 00:29:36,700 --> 00:29:40,990 Imagine the people who are living with these symptoms for 12 months or more. 255 00:29:42,940 --> 00:29:46,780 I mean, like I said, I just think it's you know, I think we have to do more. 256 00:29:46,780 --> 00:29:55,900 We just have to try and understand why they feel this way and listen to them rather than say, look, it's in the head. 257 00:29:56,560 --> 00:30:01,030 It might be in the head, but why is it in the head? What's causing all this. 258 00:30:02,650 --> 00:30:07,480 So, I mean, it's going to be a very difficult and difficult problem to resolve. 259 00:30:07,960 --> 00:30:12,790 But it's not within our limits. It's not beyond our limits. 260 00:30:12,790 --> 00:30:16,930 And I think we can. Yeah, we can find the answers to it. 261 00:30:17,140 --> 00:30:21,490 Mm hmm. So were you involved at all in this building? 262 00:30:22,090 --> 00:30:26,560 The university brought in safety measures across its whole estate. 263 00:30:27,280 --> 00:30:36,310 Were you involved in discussions about what those should be or and how satisfied were you with the way they were implemented? 264 00:30:37,390 --> 00:30:41,200 So in terms of the protection of the health of the site. 265 00:30:41,470 --> 00:30:52,180 Sure. I mean, I think it's difficult to to criticise the health system because I think everything happened at such a tremendous fast scale. 266 00:30:52,270 --> 00:31:00,190 But it would have been nice to have more PPE, which was which for which there was a shortage of PPE at the start of the pandemic. 267 00:31:01,570 --> 00:31:05,260 It would have been nice if we had the vaccines in time. 268 00:31:05,500 --> 00:31:08,350 There are so many things that it could have been could have been done better. 269 00:31:09,400 --> 00:31:19,510 But overall, I think we did the best we could with the resources we had and the pressures that were imposed by, you know, by the pandemic. 270 00:31:19,520 --> 00:31:27,780 And. I've been doing all this without looking at my questions and. 271 00:31:32,800 --> 00:31:40,330 Oh, yes. This is just a particular focus that I didn't ask you about, but I think for completeness, we should include it also. 272 00:31:40,510 --> 00:31:44,020 Yes, I've written down Seymour. So is that the study that you would study in reading? 273 00:31:44,020 --> 00:31:47,950 Yes. So sorry. The study you're leading is called Desert that. 274 00:31:48,580 --> 00:31:52,420 So that stands for capturing the multiorgan effects of COVID 19. 275 00:31:52,420 --> 00:31:59,650 And that's a national study. It is a national study. And it and it's it it works alongside for COVID. 276 00:31:59,830 --> 00:32:09,219 So we are providing the MRI phenotyping for patients who are enrolled in COVID. 277 00:32:09,220 --> 00:32:12,840 But we also have we are also enrolling patients independent of Roscoe. 278 00:32:14,020 --> 00:32:17,410 And you've done a small study of something called Xenon MRI. 279 00:32:17,440 --> 00:32:19,389 Yes. A little bit about that. Sure. 280 00:32:19,390 --> 00:32:29,410 So I'm not the chief investigator of that, Substudy, but I can tell you about that study as I've helped with those efforts. 281 00:32:29,770 --> 00:32:38,020 So so the signal from the lungs on MRI is muted when you compare it to the signal from the other organs, 282 00:32:38,020 --> 00:32:45,310 because the lung is made up of air sacs that contain oxygen and oxygen in general has a poor magnetic signal. 283 00:32:45,840 --> 00:32:59,110 So so the scientists or MRI physicists have cleverly devised a way to magnetise a gas xenon and provide it to patients 284 00:32:59,110 --> 00:33:07,300 to inhale for a few seconds and to map out the magnetised gas as it enters the lung and diffuses into the blood vessels. 285 00:33:07,960 --> 00:33:20,110 So we know from a decade of research done by Professor Fergus Gleeson's lab what normal pattern looks like of xenon gas, 286 00:33:20,110 --> 00:33:23,260 ventilating the lungs and diffusing a cross into the blood. 287 00:33:24,100 --> 00:33:28,900 And we know what the pattern looks like in other diseases like asthma and COPD. 288 00:33:29,800 --> 00:33:38,440 And so Professor Gleason wanted to see whether this technology would detect subclinical changes, which, 289 00:33:38,860 --> 00:33:45,160 by the by the term subclinical, refer to people who have normal CAT scans, normal CT scans, normal X-rays. 290 00:33:45,370 --> 00:33:51,430 Can this technology tell us more than these normal than these investigations that are currently used as part of the NHS? 291 00:33:51,850 --> 00:33:55,660 So he wanted to study people with ongoing symptoms, 292 00:33:55,840 --> 00:34:03,400 but with normal CT scans and chest x rays with with this technology to see whether it was more informative and indeed it is. 293 00:34:04,060 --> 00:34:09,430 So what we can see is that are abnormalities in gas transfer in the lung, 294 00:34:09,430 --> 00:34:16,520 which would suggest that there may be problems with the alveolar capillary interface. 295 00:34:16,540 --> 00:34:20,830 So it's the the the part where the gas crosses the lung. 296 00:34:21,010 --> 00:34:24,219 So where the oxygen should be going from your lungs? 297 00:34:24,220 --> 00:34:27,520 Into your blood? Into your blood. Exactly. And the carbon dioxide back the other way. 298 00:34:27,550 --> 00:34:35,530 Yes. And so that researches what was really quite like novel, like innovative and fascinating because, you know, 299 00:34:35,530 --> 00:34:39,760 we have a lot of people who get told, oh, you know, your scans are normal, we can't find anything. 300 00:34:40,030 --> 00:34:48,580 But here you have something that is actually testing and that's looking into gas transfer in the lungs and that is detecting abnormalities. 301 00:34:49,090 --> 00:34:56,680 So. So Professor Gleason Gleason was funded or was awarded a national funding to carry on the work which we've been supporting. 302 00:34:57,670 --> 00:35:02,630 That's Page. Yeah. Yeah, that's. 303 00:35:03,430 --> 00:35:11,590 So have your results so far changed practice in the in the medical, you know, in the areas in which you work? 304 00:35:12,370 --> 00:35:21,880 Yes. So it has certainly brought to light the the persistence of symptoms in hospitalised patients and the significant burden. 305 00:35:22,240 --> 00:35:28,690 It has also raised questions about whether a people who are discharged from hospital 306 00:35:29,530 --> 00:35:34,900 should be having MRI scans to see if they have lingering changes in the body. 307 00:35:35,170 --> 00:35:41,380 So it has certainly led to a change in practice in some institutions who are performing MRI. 308 00:35:41,620 --> 00:35:46,300 But I think this is an area of active research and it will evolve as we gather more data. 309 00:35:46,850 --> 00:35:51,760 Hmm. And it's. 310 00:36:00,340 --> 00:36:04,300 Yes. I got a question. I think you more or less answered it, but I'll just pose it as a single question. 311 00:36:04,750 --> 00:36:13,600 Do you think the fact that you were able to work on something that was so relevant to understanding this condition, supported your own well-being? 312 00:36:13,600 --> 00:36:18,410 As you know, everybody in the country was dealing with lockdown and uncertainty. 313 00:36:18,430 --> 00:36:22,720 I mean, for me, I think it's just the constant uncertainty about where we're going with this. 314 00:36:22,960 --> 00:36:26,180 That was the most difficult to deal with. But you had a you had a job to do. 315 00:36:26,380 --> 00:36:29,350 Was that helpful for you, do you think? Absolutely, yes. 316 00:36:29,680 --> 00:36:39,340 So I think the fact that the research was focussed on an aspect that everyone was enduring and the whole world was affected by this, 317 00:36:39,640 --> 00:36:43,330 everything became interested in looking at the news, which I wasn't very good at reading. 318 00:36:43,600 --> 00:36:53,320 You know, I'd keep myself updated with the news. I mean, I think it injected a a renewed enthusiasm for research. 319 00:36:53,890 --> 00:36:57,040 And, yeah, I consider myself extremely fortunate in that way. 320 00:36:58,630 --> 00:37:03,100 And has the Upwork raised new questions that you were interested in exploring in the future? 321 00:37:03,250 --> 00:37:08,889 Yeah. If the time comes when you're ever able to move on from performance or even even with COVID 19, 322 00:37:08,890 --> 00:37:12,370 because I mean, presumably these after effects could be detectable for years to come. 323 00:37:13,120 --> 00:37:17,680 Absolutely. So there are many questions that have surfaced from this work. 324 00:37:18,010 --> 00:37:21,160 But I think one of the things that really stood out for me, 325 00:37:21,520 --> 00:37:28,270 as I've as I've carried out carried out this study is the importance of listening to patients. 326 00:37:28,600 --> 00:37:37,479 So we've always undertaken research to explore mechanisms, scientific mechanisms that could contribute to disease. 327 00:37:37,480 --> 00:37:47,470 And that is important. But I feel like we have been deaf in a way to the patient voice, and I think COVID really brought that out. 328 00:37:47,780 --> 00:37:51,009 So we truly so treated bodies as machines. Absolutely. 329 00:37:51,010 --> 00:38:00,399 Yes. And I think I think it's become increasingly clear that, you know, if you know and this is not just for COVID, for any disease, for that matter. 330 00:38:00,400 --> 00:38:07,180 I mean, I can tell you, being a cardiologist, that we've had patients with the cardiomyopathy that I'm studying who get told, 331 00:38:07,180 --> 00:38:11,770 look, your scans look fine, everything, and that something has changed, but they're still feeling quite poorly. 332 00:38:12,610 --> 00:38:17,409 But what are we doing to understand that, like what is a cause for these ongoing symptoms? 333 00:38:17,410 --> 00:38:23,500 And I think long COVID might help answer some of those questions and and has certainly 334 00:38:24,250 --> 00:38:29,680 emphasised the need to think about the patient as a whole rather than a disease or an organ. 335 00:38:30,640 --> 00:38:34,120 And that's pretty much answered the my final question, 336 00:38:34,120 --> 00:38:41,320 which is whether the experience has changed your attitude or your approach to your work and how you'd like to see things change in the future. 337 00:38:42,010 --> 00:38:44,920 But you did pretty much cover that. It's is anything you want to add? 338 00:38:45,280 --> 00:38:55,810 No, I mean, I think I think I really do hope that it becomes important to have or essential to have a patient public engagement in a group. 339 00:38:56,620 --> 00:39:01,929 You know, when we submit research proposals, because I think their voice just needs to be heard and, 340 00:39:01,930 --> 00:39:05,979 you know, and we'll all be one of them at some point in our lives. 341 00:39:05,980 --> 00:39:09,550 So it's important to remember that. That's great. 342 00:39:12,100 --> 00:39:14,200 Okay. So I'm still talking to Betsy Roman. 343 00:39:14,830 --> 00:39:23,980 And the question that I forgot to ask was, having collected masses of data about what the ongoing symptoms of these hospitalised patients looked like, 344 00:39:24,520 --> 00:39:27,820 have you been able to start to look at treatments and the effects of treatments? 345 00:39:28,540 --> 00:39:38,380 Yes. So so I think Long-covid is not just one disease, but it's a cluster of different diseases in a way. 346 00:39:39,130 --> 00:39:45,340 So there are some people who have ongoing inflammation and they stop you for a second because your heart is. 347 00:39:45,820 --> 00:39:49,870 Can you move the microphone down a bit with it? It's okay. I think it wants to go on the other side. 348 00:39:50,050 --> 00:39:53,340 Oh does it. Yeah. So that you had a shot against. 349 00:39:55,360 --> 00:39:58,510 Yeah. Okay. Yeah. Okay. 350 00:39:58,540 --> 00:40:01,540 So, so yes we are testing treatments. 351 00:40:02,170 --> 00:40:16,930 We so long COVID is in my mind not just one disease but a cluster of many phenotypes, of which there are some dominant markers of disease. 352 00:40:16,930 --> 00:40:22,000 So one in particular is presence of ongoing inflammation in people. 353 00:40:22,270 --> 00:40:33,520 So we're currently designing a trial where we're testing a medication that reduces the immune response in people 354 00:40:33,520 --> 00:40:40,300 or suppresses the immune response in people who have an exaggerated response and who have ongoing COVID symptoms. 355 00:40:41,320 --> 00:40:50,920 The other cluster that is apparent is is essentially people who continue to have limited mobility 356 00:40:50,920 --> 00:40:57,130 or exercise tolerance because of profound fatigue and who are unable to do their daily activity. 357 00:40:57,820 --> 00:41:04,850 And what we've found is that. These people have problems with the metabolism in their muscles. 358 00:41:05,300 --> 00:41:14,990 So we're testing a treatment, which is a composition of branching amino acids to see whether that will help the mitochondria or the 359 00:41:14,990 --> 00:41:19,310 energy levels in the skeletal muscle and whether this will translate into an improvement in fatigue. 360 00:41:20,450 --> 00:41:30,680 And the third treatment that is currently under review or that we are thinking about is medicine that reduces obesity and that helps reduce weight, 361 00:41:31,010 --> 00:41:37,819 because there have been a lot of studies shown that it does that are showing us that the more obese someone is, 362 00:41:37,820 --> 00:41:42,410 the more likely they are to develop ongoing and persistent symptoms of COVID 19. 363 00:41:43,310 --> 00:41:49,940 Those studies are all still ongoing. Yes. So two of the studies are yet to receive approval, 364 00:41:50,540 --> 00:41:58,250 but that's something in the pipeline and one has received approval and we have already started screening patients for it. 365 00:41:58,400 --> 00:42:01,670 But it's too soon to say what the results. But yes, that's right. 366 00:42:01,820 --> 00:42:05,090 Yeah, it's too soon. Okay, that's fine. Thank you very much.