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Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study.
- Source :
- Risk Management & Healthcare Policy; Nov2023, Vol. 16, p2249-2257, 9p
- Publication Year :
- 2023
-
Abstract
- The aim of the study was to validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis.Methods: We retrospectively analyzed a prospective, single-center cohort of adult patients who were consecutively admitted to one medical ICU ward and ten non-ICU wards with suspected or confirmed infections during a 6-month period. A modified ICD-10 based algorithm was validated against a reference standard of Sequential Organ Failure Assessment (SOFA) score based on Sepsis-3. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and areas under the receiver operating characteristic curves (AUROCs) were calculated for modified ICD-10 criteria, eSOFA criteria, Martin's criteria, and Angus's criteria.Results: Of the 547 patients in the cohort, 332 (61%) patients met Sepsis-3 criteria and 274 (50%) met modified ICD-10 criteria. In the ICU setting, modified ICD-10 criteria had SE (84.47%), SP (88.57%), PPV (95.60), and NPV (65.96). In non-ICU settings, modified ICD-10 had SE (64.19%), SP (80.00%), PPV (80.33), and NPV (63.72). In the whole cohort, the AUROCs of modified ICD-10 criteria, eSOFA, Angus's criteria, and Martin's criteria were 0.76, 0.75, 0.62, and 0.62, respectively.Conclusion: This study demonstrated that modified ICD-10 criteria had higher validity compared with Angus's criteria and Martin's criteria. Validity of the modified ICD-10 criteria was similar to eSOFA criteria. Modified ICD-10 algorithm can be used to provide an accurate estimate of population-based sepsis burden of China. [ABSTRACT FROM AUTHOR]
- Subjects :
- RECEIVER operating characteristic curves
NOSOLOGY
SEPSIS
Subjects
Details
- Language :
- English
- ISSN :
- 11791594
- Volume :
- 16
- Database :
- Complementary Index
- Journal :
- Risk Management & Healthcare Policy
- Publication Type :
- Academic Journal
- Accession number :
- 174037700
- Full Text :
- https://doi.org/10.2147/RMHP.S429157