TY - JOUR
T1 - Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity
T2 - Near real-time data on cancer care, cancer deaths and a population-based cohort study
AU - Lai, Alvina G.
AU - Pasea, Laura
AU - Banerjee, Amitava
AU - Hall, Geoff
AU - Denaxas, Spiros
AU - Chang, Wai Hoong
AU - Katsoulis, Michail
AU - Williams, Bryan
AU - Pillay, Deenan
AU - Noursadeghi, Mahdad
AU - Linch, David
AU - Hughes, Derralynn
AU - Forster, Martin D.
AU - Turnbull, Clare
AU - Fitzpatrick, Natalie K.
AU - Boyd, Kathryn
AU - Foster, Graham R.
AU - Enver, Tariq
AU - Nafilyan, Vahe
AU - Humberstone, Ben
AU - Neal, Richard D.
AU - Cooper, Matt
AU - Jones, Monica
AU - Pritchard-Jones, Kathy
AU - Sullivan, Richard
AU - Davie, Charlie
AU - Lawler, Mark
AU - Hemingway, Harry
PY - 2020/11/17
Y1 - 2020/11/17
N2 - Objectives To estimate the impact of the COVID-19 pandemic on cancer care services and overall (direct and indirect) excess deaths in people with cancer. Methods We employed near real-time weekly data on cancer care to determine the adverse effect of the pandemic on cancer services. We also used these data, together with national death registrations until June 2020 to model deaths, in excess of background (pre-COVID-19) mortality, in people with cancer. Background mortality risks for 24 cancers with and without COVID-19-relevant comorbidities were obtained from population-based primary care cohort (Clinical Practice Research Datalink) on 3 862 012 adults in England. Results Declines in urgent referrals (median=-70.4%) and chemotherapy attendances (median=-41.5%) to a nadir (lowest point) in the pandemic were observed. By 31 May, these declines have only partially recovered; urgent referrals (median=-44.5%) and chemotherapy attendances (median=-31.2%). There were short-term excess death registrations for cancer (without COVID-19), with peak relative risk (RR) of 1.17 at week ending on 3 April. The peak RR for all-cause deaths was 2.1 from week ending on 17 April. Based on these findings and recent literature, we modelled 40% and 80% of cancer patients being affected by the pandemic in the long-term. At 40% affected, we estimated 1-year total (direct and indirect) excess deaths in people with cancer as between 7165 and 17 910, using RRs of 1.2 and 1.5, respectively, where 78% of excess deaths occured in patients with ≥1 comorbidity. Conclusions Dramatic reductions were detected in the demand for, and supply of, cancer services which have not fully recovered with lockdown easing. These may contribute, over a 1-year time horizon, to substantial excess mortality among people with cancer and multimorbidity. It is urgent to understand how the recovery of general practitioner, oncology and other hospital services might best mitigate these long-term excess mortality risks.
AB - Objectives To estimate the impact of the COVID-19 pandemic on cancer care services and overall (direct and indirect) excess deaths in people with cancer. Methods We employed near real-time weekly data on cancer care to determine the adverse effect of the pandemic on cancer services. We also used these data, together with national death registrations until June 2020 to model deaths, in excess of background (pre-COVID-19) mortality, in people with cancer. Background mortality risks for 24 cancers with and without COVID-19-relevant comorbidities were obtained from population-based primary care cohort (Clinical Practice Research Datalink) on 3 862 012 adults in England. Results Declines in urgent referrals (median=-70.4%) and chemotherapy attendances (median=-41.5%) to a nadir (lowest point) in the pandemic were observed. By 31 May, these declines have only partially recovered; urgent referrals (median=-44.5%) and chemotherapy attendances (median=-31.2%). There were short-term excess death registrations for cancer (without COVID-19), with peak relative risk (RR) of 1.17 at week ending on 3 April. The peak RR for all-cause deaths was 2.1 from week ending on 17 April. Based on these findings and recent literature, we modelled 40% and 80% of cancer patients being affected by the pandemic in the long-term. At 40% affected, we estimated 1-year total (direct and indirect) excess deaths in people with cancer as between 7165 and 17 910, using RRs of 1.2 and 1.5, respectively, where 78% of excess deaths occured in patients with ≥1 comorbidity. Conclusions Dramatic reductions were detected in the demand for, and supply of, cancer services which have not fully recovered with lockdown easing. These may contribute, over a 1-year time horizon, to substantial excess mortality among people with cancer and multimorbidity. It is urgent to understand how the recovery of general practitioner, oncology and other hospital services might best mitigate these long-term excess mortality risks.
KW - COVID-19
KW - health informatics
KW - oncology
UR - http://www.scopus.com/inward/record.url?scp=85096348275&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2020-043828
DO - 10.1136/bmjopen-2020-043828
M3 - Article
C2 - 33203640
AN - SCOPUS:85096348275
SN - 2044-6055
VL - 10
JO - BMJ Open
JF - BMJ Open
IS - 11
M1 - 043828
ER -