MARC details
| 000 -LEADER |
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| fixed length control field |
03567nam a22003857a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220222s20222022 xxu||||| |||| 00| 0 eng d |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1002/emp2.12660 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
EMP212660 [pii] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
PMC8790108 [pmc] |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
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| PMID |
35112102 |
| 245 ## - TITLE STATEMENT |
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| Title |
Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records. |
| 251 ## - Source |
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| Source |
Journal of the American College of Emergency Physicians open. 3(1):e12660, 2022 Feb. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
J Am Coll Emerg Physicians Open. 3(1):e12660, 2022 Feb. |
| 253 ## - Journal Name |
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| Journal name |
Journal of the American College of Emergency Physicians open |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Manufacturer |
FY2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Publication date |
2022 Feb |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Publication status |
epublish |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2022-02-22 |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
Conclusion: Compared to K-means, which is commonly used in clustering studies, LCA appears to be a more robust, clinically useful statistical tool in analyzing a heterogeneous pediatric sepsis cohort toward informing targeted therapies. Additional prospective studies are needed to validate clinical utility of predictive models that target derived pediatric sepsis phenotypes in emergency department settings. Copyright (c) 2022 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of American College of Emergency Physicians. |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
Methods: Data were extracted from anonymized medical records of 6446 pediatric patients that presented to 1 of 6 emergency departments (EDs) between 2013 and 2018 and were thereafter admitted. Using International Classification of Diseases (ICD)-9 and ICD-10 discharge codes, 151 patients were identified with a sepsis continuum diagnosis that included septicemia, sepsis, severe sepsis, and septic shock. Using feature sets used in related clustering studies, LCA and K-means algorithms were used to derive 4 distinct phenotypic pediatric sepsis segmentations. Each segmentation was evaluated for phenotypic homogeneity, separation, and clinical use. |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
Objective: The heterogeneity of pediatric sepsis patients suggests the potential benefits of clustering analytics to derive phenotypes with distinct host response patterns that may help guide personalized therapeutics. We evaluate the relative performance of latent class analysis (LCA) and K-means, 2 commonly used clustering methods toward the derivation of clinically useful pediatric sepsis phenotypes. |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
Results: Using the 2 feature sets, LCA clustering resulted in 2 similar segmentations of 4 clinically distinct phenotypes, while K-means clustering resulted in segmentations of 3 and 4 phenotypes. All 4 segmentations identified at least 1 high severity phenotype, but LCA-identified phenotypes reflected superior stratification, high entropy approaching 1 (eg, 0.994) indicating excellent separation between estimated phenotypes, and differential treatment/treatment response, and outcomes that were non-randomly distributed across phenotypes (P < 0.001). |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
IN PROCESS -- NOT YET INDEXED |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute |
| 657 ## - INDEX TERM--FUNCTION |
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| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Galarraga, Jessica E |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Yohannes, Seife |
| 790 ## - Authors |
|---|
| All authors |
Chamberlain JM, Freishtat RJ, Galarraga JE, Koutroulis I, Morales JA, Velez T, Wang T, Yohannes S |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| DOI |
<a href="https://dx.doi.org/10.1002/emp2.12660">https://dx.doi.org/10.1002/emp2.12660</a> |
| Public note |
https://dx.doi.org/10.1002/emp2.12660 |
| 858 ## - ORCID |
|---|
| ORCID text |
Koutroulis, Ioannis |
| Orcid |
<a href="https://orcid.org/0000-0002-8396-9022">https://orcid.org/0000-0002-8396-9022</a> |
| Name |
https://orcid.org/0000-0002-8396-9022 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Journal Article |
| Item type description |
Article |
