Startseite Recent mortality rates due to complications of medical and surgical care in the US
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Recent mortality rates due to complications of medical and surgical care in the US

  • Camilla Mattiuzzi , Mario Plebani ORCID logo und Giuseppe Lippi ORCID logo EMAIL logo
Veröffentlicht/Copyright: 20. Mai 2024
Diagnosis
Aus der Zeitschrift Diagnosis Band 11 Heft 4

Abstract

Objectives

Medical errors and complications pose a major threat to the safety of healthcare systems worldwide. This article was hence aimed at determining the current burden of complications of medical and surgical care in the US.

Methods

We searched the latest version of the US Centers for Disease Control and Prevention (CDC) WONDER online database (years 2018–2022) using ICD-10 codes Y40-Y84 (complications of medical and surgical care).

Results

The age-adjusted death rate for complications of medical and surgical care increased from 1.17 × 100,000 in 2018 to 1.49 × 100,000 in 2021, but then declined to 0.85 × 100,000 in 2022. The gender-specific analysis showed a similar trend, with the age-adjusted death rate values always being higher in men than in women. A clear age-dependent relationship was also found in the crude mortality rate for complications of medical and surgical care, as higher death rates were observed in older patients.

Conclusions

This analysis reveals that the burden of complications of medical and surgical care has increased over time, especially during the COVID-19 pandemic, but has then considerably declined in 2022. However, root cause analysis and actions are still needed for preventing the still noticeable consequences of medical complications.


Corresponding author: Prof. Giuseppe Lippi, Section of Clinical Biochemistry, University Hospital of Verona, Piazzale L.A. Scuro, 10, 37134 Verona, Italy, Phone: 0039 045 8122970, Fax: 0039 045 8124308, E-mail:

  1. Research ethics: The study was performed in accordance with the Declaration of Helsinki and under the terms of relevant local legislation.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: Not applicable.

References

1. Makary, MA, Daniel, M. Medical error-the third leading cause of death in the US. BMJ 2016;353:i2139. https://doi.org/10.1136/bmj.i2139.Suche in Google Scholar PubMed

2. Kohn, LT, Corrigan, JM, Donaldson, MS. To err is human: building a safer health system. Washington, DC, USA: National Academies Press (US); 1999.Suche in Google Scholar

3. Centers for Disease Control and Prevention, National Center for Health Statistics. National vital statistics system, mortality 2018–2022 on CDC WONDER online database; 2024 (released). Data are from the multiple cause of death files, 2018–2022, as compiled from data provided by the 57 vital statistics jurisdictions through the vital statistics cooperative program. Available from: http://wonder.cdc.gov/ucd-icd10-expanded.html [Accessed 28 Apr 2024].Suche in Google Scholar

4. Al Meslamani, AZ. Medication errors during a pandemic: what have we learnt? Expet Opin Drug Saf 2023;22:115–8. https://doi.org/10.1080/14740338.2023.2181954.Suche in Google Scholar PubMed

5. Gleeson, L, Dalton, K, O’Mahony, D, Byrne, S. Interventions to improve reporting of medication errors in hospitals: a systematic review and narrative synthesis. Res Soc Adm Pharm 2020;16:1017–25. https://doi.org/10.1016/j.sapharm.2019.12.005.Suche in Google Scholar PubMed


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/dx-2024-0071).


Received: 2024-04-19
Accepted: 2024-04-21
Published Online: 2024-05-20

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Should APTT become part of thrombophilia screening?
  4. Review
  5. n-3 fatty acids and the risk of atrial fibrillation, review
  6. Guidelines and Recommendations
  7. Root cause analysis of cases involving diagnosis
  8. Opinion Papers
  9. What is diagnostic safety? A review of safety science paradigms and rethinking paths to improving diagnosis
  10. Interprofessional clinical reasoning education
  11. Original Articles
  12. Quality of heart failure registration in primary care: observations from 1 million electronic health records in the Amsterdam Metropolitan Area
  13. Typology of solutions addressing diagnostic disparities: gaps and opportunities
  14. Diagnostic errors and characteristics of patients seen at a general internal medicine outpatient clinic with a referral for diagnosis
  15. Cost-benefit considerations of the biased diagnostician
  16. Delayed diagnosis of new onset pediatric diabetes leading to diabetic ketoacidosis: a retrospective cohort study
  17. Monocyte distribution width (MDW) kinetic for monitoring sepsis in intensive care unit
  18. Are shortened aPTT values always to be attributed only to preanalytical problems?
  19. External Quality Assessment (EQA) scheme for serological diagnostic test for SARS-CoV-2 detection in Sicily Region (Italy), in the period 2020–2022
  20. Recent mortality rates due to complications of medical and surgical care in the US
  21. Short Communication
  22. The potential, limitations, and future of diagnostics enhanced by generative artificial intelligence
  23. Case Report – Lessons in Clinical Reasoning
  24. Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of persistent dysphagia and patient partnership
  25. Letters to the Editor
  26. The ‘curse of knowledge’: when medical expertise can sometimes be a liability
  27. A new approach for identifying innate immune defects
Heruntergeladen am 14.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/dx-2024-0071/html
Button zum nach oben scrollen