COVID-19 death: A novel method of improving its identification when a patient has multiple diagnoses

Nnabuike C Ngene1,2, Jagidesa Moodley3

  • 1Department of Obstetrics and Gynaecology, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Insights

Determining the primary cause of death with multiple diagnoses like COVID-19 is difficult. The modified Nnabuike-Jagidesa (NJ) model II offers objective criteria for selecting the most appropriate cause, improving accuracy.

Area of Science:

  • Medical research
  • Public health
  • Epidemiology

Background:

  • Assigning a primary cause of death is challenging with multiple diagnoses, including COVID-19.
  • Existing guidelines may lack objectivity in selecting the most appropriate cause.
  • The Nnabuike-Jagidesa (NJ) model II was developed to enhance the International Classification of Diseases and related health problems, 10th revision (ICD-10) guidelines.

Purpose of the Study:

  • To propose a refined method for assigning a primary cause of death in cases with multiple diagnoses.
  • To improve the objectivity and reproducibility of cause-of-death determination, particularly in the context of COVID-19.

Main Methods:

  • Literature review on assigning primary cause of death.
  • Evaluation and modification of the existing NJ model II.
  • Introduction of objective criteria: case fatality ratio, main indication for acute procedures, and number of affected organs.

Main Results:

  • The modified NJ model II prioritizes case fatality ratio, then surgical indication, then organ system involvement for similar fatality rates.
  • A clinical descriptor is recommended when objective criteria are not met.
  • The proposed model aims to standardize cause-of-death assignment.

Conclusions:

  • The modified NJ model II offers a structured approach to determining the primary cause of death with multiple diagnoses.
  • This method is expected to enhance the accuracy and consistency of death certification.
  • The approach is particularly relevant for complex cases involving infectious diseases like COVID-19.

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