| Literature DB >> 35039447 |
Robert Pell1, S Kim Suvarna2, Nigel Cooper3, Guy Rutty4, Anna Green5, Michael Osborn6, Peter Johnson7, Alison Hayward8, Justine Durno6, Theodore Estrin-Serlui9, Marion Mafham10, Ian S D Roberts11.
Abstract
AIMS: Widespread disruption of healthcare services and excess mortality not directly attributed to COVID-19 occurred between March and May 2020. We undertook the first UK multicentre study of coroners' autopsies before and during this period using postmortem reports.Entities:
Keywords: COVID-19; autopsy; death; epidemiology; reports
Year: 2022 PMID: 35039447 PMCID: PMC8783968 DOI: 10.1136/jclinpath-2021-208003
Source DB: PubMed Journal: J Clin Pathol ISSN: 0021-9746 Impact factor: 3.411
Categorisation of cause of death
| Reference | Category of death | Examples |
| 0 | Sudden natural death | Acute myocardial infarction, ruptured abdominal aortic aneurysm |
| 1 | End stage of chronic disease (natural) | Carcinomatosis, end stage respiratory failure in chronic obstructive pulmonary disease |
| 2 | Non-COVID-19 infectious disease (natural) | Bronchopneumonia, sepsis from urinary tract infection |
| 3 | COVID-19 (natural) | COVID-19 pneumonitis, pulmonary embolism following COVID-19 infection |
| 4 | Death due to alcohol and/or drug misuse (unnatural) | Acute alcohol intoxication, overdose of opiates |
| 5 | Suicide (unnatural) | Hanging, overdose of prescription medication |
| 6 | Death due to trauma via road traffic collision (unnatural) | Multiple injuries from vehicular accident |
| 7 | Death due to other trauma (unnatural) | Falling down stairs, falling from ladder |
| 8 | Other unnatural causes of death | Perioperative deaths, drowning, industrial disease |
Example scenarios and rationale for coding
| Case scenario | Possible/probable association with lockdown measures | Rationale |
| Suicide with supporting information of direct evidence of financial difficulties in business caused by cancellations due to COVID-19 | Probable contributary factor | Direct link to financial difficulties due to pandemic in supporting information |
| Deceased found dead at home in advanced state of decomposition. Letter at property found advising individual was at high risk from COVID-19 and shielding advice | Possible contributary factor | Documentation of a potential change in health-seeking behaviour identified |
| Deceased unwell for 4 days and unable to visit doctor due to lockdown | Probable contributary factor | Documentation of altered health-seeking behaviour |
| Relative noted deterioration over past few weeks, General Practitioner (GP) arranged community matron review for assessment next day, community matron found deceased at home | Possible contributary factor | Potential delay in accessing healthcare identified, however uncertain if GP review decision making was altered by lockdown |
| Patient had known asthma and symptoms of COVID-19. Also reported chest pain. Advised to self-isolate, died several days later from ruptured myocardial infarction. | Probable contributary factor | Advice for self-isolation in individual reporting chest pain symptoms |
Caseload and summary demographics
| Centre | Year | Total | Male, n (%) | Female, n (%) | Mean age (years) | Age range (years) | Diff mean age, t-value | Diff mean age, P value | Sex, χ² | P value |
| Oxford | 2020 | 53 | 39 (75) | 14 (26) | 60 | 20–89 | ||||
| 2018 | 74 | 52 (70) | 22 (30) | 68 | 19–92 | 3.003 |
| 0.03 | 0.868 | |
| Imperial | 2020 | 19 | 11 (58) | 8 (42) | 60 | 21–89 | ||||
| 2018 | 22 | 10 (45) | 12 (55) | 60 | 22–91 | 0.132 | 0.895 | 0.63 | 0.427 | |
| Newcastle | 2020 | 203 | 134 (66) | 69 (34) | 69 | 17–97 | ||||
| 2018 | 89 | 64 (72) | 25 (28) | 70 | 31–92 | −0.614 | 0.539 | 0.99 | 0.321 | |
| Sheffield | 2020 | 109 | 80 (73) | 29 (27) | 68 | 19–102 | ||||
| 2018 | 124 | 76 (61) | 48 (39) | 67 | 14–100 | −0.253 | 0.8 | 3.84 | 0.069 | |
| Guy’s and St Thomas’ (GSST) | 2020 | 54 | 38 (74) | 16 (26) | 61 | 20–93 | ||||
| 2018 | 39 | 23 (59) | 16 (41) | 65 | 23–93 | 1.096 | 0.276 | 1.30 | 0.254 | |
| Leicester city, Rutland, N & S Leicestershire | 2020 | 73 | 48 (66) | 25 (34) | 68 | 25–95 | ||||
| 2018 | 77 | 51 (66) | 26 (34) | 68 | 25–98 | 0.093 | 0.926 | 0.01 | 0.912 | |
| Buckinghamshire | 2020 | 91 | 60 (66) | 31 (34) | 68 | 21–102 | ||||
| 2018 | 73 | 48 (66) | 25 (34) | 72 | 18–99 | 1.036 | 0.302 | 0.02 | 0.887 | |
| Total | 2020 | 602 | 410 (68) | 192 (32) | 67 | 17–102 | ||||
| 2018 | 498 | 324 (65) | 174 (35) | 68 | 14–100 | −0.868 | 0.386 | 1.00 | 0.316 |
Categories of postmortem undertaken in 2018 and 2020
| Category of death | Totals 2020, n (%) | Total 2018, n (%) |
| Sudden natural death | 257 (43) | 225 (46) |
| Chronic disease (natural death) | 100 (17) | 110 (22) |
| Infectious disease (natural death) | 57 (9) | 53 (11) |
| COVID-19 (natural death) | 54 (9) | 0 (0) |
| Any natural death | 468 (78) | 388 (78) |
| Drug and/or alcohol (unnatural death) | 49 (8) | 29 (6) |
| Suicide (unnatural death) | 38 (6) | 27 (5) |
| Road traffic accident (unnatural death) | 6 (1) | 5 (1) |
| Non-road traffic traumatic death (unnatural death) | 18 (3) | 19 (4) |
| Other unnatural death | 23 (4) | 30 (6) |
| Any unnatural death | 134 (22) | 110 (22) |
| Total | 602 | 498 |
Delay to access in medical care, 2018 versus 2020
| Delay category | 2018 | 2020 |
| Probable delay | 5 (1%) | 23 (3.8%) |
| Possible delay | 5 (1%) | 21 (3.5%) |
| No delay | 488 (98%) | 558 (92.7%) |
| Total | 498 | 602 |
Distribution COVID-19 cases and cause of death including category of postmortem diagnosis
| Number (%) | |
| Cause of death and COVID-19 status | |
| Non-COVID-19 | 525 (87) |
| Confirmed COVID-19 | 48 (8) |
| Clinical COVID-19 diagnosis | 6 (1) |
| COVID-19 cannot be excluded | 20 (3) |
| COVID-19 positive, not cause of death | 3 (0.5) |
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| Category of postmortem COVID-19 diagnosis | |
| COVID-19 diagnosed from clinical information±testing without evisceration | 12 (22) |
| COVID-19 diagnosed from PMCT±testing | 12 (22) |
| COVID-19 diagnosed from traditional invasive autopsy±testing | 25 (46) |
| Postmortem performed in known COVID-19 to exclude other cause | 5 (9) |
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PMCT, postmortem CT.