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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...

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Related Experiment Video

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Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study.

Shi-Tong Diao1, Run Dong1, Jin-Min Peng1

  • 1Medical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.

Risk Management and Healthcare Policy
|November 8, 2023
PubMed
Summary

A modified International Classification of Diseases (ICD)-10 algorithm accurately identifies hospitalized sepsis patients. This sepsis surveillance tool shows higher validity than previous criteria, aiding resource allocation and health policy.

Keywords:
International Classification of Diseasesadministrative health dataidentificationsepsisvalidation

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Area of Science:

  • Medical informatics
  • Public health surveillance
  • Clinical epidemiology

Background:

  • Sepsis surveillance is crucial for effective resource allocation, prevention strategies, and health policy development.
  • Accurate identification of sepsis cases is essential for understanding population health burden.

Purpose of the Study:

  • To validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis.
  • To compare the performance of the modified ICD-10 algorithm against established sepsis criteria.

Main Methods:

  • Retrospective analysis of a prospective, single-center cohort of adult patients admitted with suspected or confirmed infections.
  • Validation of a modified ICD-10 algorithm against the Sepsis-3 definition using Sequential Organ Failure Assessment (SOFA) scores.
  • Calculation of sensitivity, specificity, positive predictive value, negative predictive value, and AUROCs for various criteria.

Main Results:

  • The modified ICD-10 criteria identified 50% of patients, while Sepsis-3 criteria identified 61%.
  • In ICU settings, modified ICD-10 criteria demonstrated high sensitivity (84.47%) and specificity (88.57%).
  • In non-ICU settings, modified ICD-10 criteria showed sensitivity of 64.19% and specificity of 80.00%.
  • The modified ICD-10 algorithm achieved an AUROC of 0.76, comparable to eSOFA (0.75) and superior to Angus's and Martin's criteria (0.62).

Conclusions:

  • The modified ICD-10 algorithm exhibits higher validity compared to Angus's and Martin's criteria for sepsis identification.
  • The validity of the modified ICD-10 criteria is comparable to the eSOFA criteria.
  • This modified ICD-10 algorithm offers an accurate method for estimating population-based sepsis burden in China.