• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

BMJ Open . Unexplained mortality during the US COVID-19 pandemic: retrospective analysis of death certificate data and critical assessment of excess

tetano

Editor, Senior Moderator
BMJ Open


. 2021 Nov 16;11(11):e050361.
doi: 10.1136/bmjopen-2021-050361.
Unexplained mortality during the US COVID-19 pandemic: retrospective analysis of death certificate data and critical assessment of excess death calculations


Kathleen A Fairman[SUP] 1 2 [/SUP], Kellie J Goodlet[SUP] 3 [/SUP], James D Rucker[SUP] 2 [/SUP], Roy S Zawadzki[SUP] 4 [/SUP]



Affiliations
Free PMC article

Abstract

Objectives: Cause-of-death discrepancies are common in respiratory illness-related mortality. A standard epidemiological metric, excess all-cause death, is unaffected by these discrepancies but provides no actionable policy information when increased all-cause mortality is unexplained by reported specific causes. To assess the contribution of unexplained mortality to the excess death metric, we parsed excess deaths in the COVID-19 pandemic into changes in explained versus unexplained (unreported or unspecified) causes.
Design: Retrospective repeated cross-sectional analysis, US death certificate data for six influenza seasons beginning October 2014, comparing population-adjusted historical benchmarks from the previous two, three and five seasons with 2019-2020.
Setting: 48 of 50 states with complete data.
Participants: 16.3 million deaths in 312 weeks, reported in categories-all causes, top eight natural causes and respiratory causes including COVID-19.
Outcome measures: Change in population-adjusted counts of deaths from seasonal benchmarks to 2019-2020, from all causes (ie, total excess deaths) and from explained versus unexplained causes, reported for the season overall and for time periods defined a priori: pandemic awareness (19 January through 28 March); initial pandemic peak (29 March through 30 May) and pandemic post-peak (31 May through 26 September).
Results: Depending on seasonal benchmark, 287 957-306 267 excess deaths occurred through September 2020: 179 903 (58.7%-62.5%) attributed to COVID-19; 44 022-49 311 (15.2%-16.1%) to other reported causes; 64 032-77 054 (22.2%-25.2%) unexplained (unspecified or unreported cause). Unexplained deaths constituted 65.2%-72.5% of excess deaths from 19 January to 28 March and 14.1%-16.1% from 29 March through 30 May.
Conclusions: Unexplained mortality contributed substantially to US pandemic period excess deaths. Onset of unexplained mortality in February 2020 coincided with previously reported increases in psychotropic use, suggesting possible psychiatric or injurious causes. Because underlying causes of unexplained deaths may vary by group or region, results suggest excess death calculations provide limited actionable information, supporting previous calls for improved cause-of-death data to support evidence-based policy.

Keywords: COVID-19; epidemiology; health informatics; mental health; public health; statistics & research methods.
 
Back
Top Bottom