Development and Validation of a Two-Step Predictive Risk Stratification Model for Coronavirus Disease 2019 In-hospital Mortality: A Multicenter Retrospective Cohort Study. (Record no. 12572)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03492nam a22004097a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230626s20222022 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 2296-858X |
| 024 ## - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.3389/fmed.2022.827261 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER | |
| Standard number or code | PMC9021426 [pmc] |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| PMID | 35463024 |
| 245 ## - TITLE STATEMENT | |
| Title | Development and Validation of a Two-Step Predictive Risk Stratification Model for Coronavirus Disease 2019 In-hospital Mortality: A Multicenter Retrospective Cohort Study. |
| 251 ## - Source | |
| Source | Frontiers in Medicine. 9:827261, 2022. |
| 252 ## - Abbreviated Source | |
| Abbreviated source | Front Med (Lausanne). 9:827261, 2022. |
| 253 ## - Journal Name | |
| Journal name | Frontiers in medicine |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Year | 2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Manufacturer | FY2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Publication date | 2022 |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] | |
| Publication status | epublish |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] | |
| Medline status | PubMed-not-MEDLINE |
| 266 ## - Date added to catalog | |
| Date added to catalog | 2023-06-26 |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Conclusions: The two-step scoring system used widely available, point-of-care data for triage of COVID-19 patients and is a potentially time- and cost-saving tool in practice. Copyright © 2022 Li, Kong, Ebell, Martinez, Cai, Lennon, Tarn, Mainous, Zgierska, Barrett, Tuan, Maloy, Goyal, Krist, Gal, Sung, Li, Jin and Shen. |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Design: Multicenter retrospective observational cohort study. |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Measurements and Main Results: We included 1,673 participants from Virginia Commonwealth University (VCU) as the derivation cohort. Risk factors for in-hospital death were identified using a multivariable logistic model with variable selection procedures after repeated missing data imputation. A two-step risk score was developed to identify patients at lower, moderate, and higher mortality risk. The first step selected increasing age, more than one pre-existing comorbidities, heart rate >100 beats/min, respiratory rate >=30 breaths/min, and SpO2 <93% into the predictive model. Besides age and SpO2, the second step used blood urea nitrogen, absolute neutrophil count, C-reactive protein, platelet count, and neutrophil-to-lymphocyte ratio as predictors. C-statistics reflected very good discrimination with internal validation at VCU (0.83, 95% CI 0.79-0.88) and external validation at the other three health systems (range, 0.79-0.85). A one-step model was also derived for comparison. Overall, the two-step risk score had better performance than the one-step score. |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Objectives: An accurate prognostic score to predict mortality for adults with COVID-19 infection is needed to understand who would benefit most from hospitalizations and more intensive support and care. We aimed to develop and validate a two-step score system for patient triage, and to identify patients at a relatively low level of mortality risk using easy-to-collect individual information. |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Patients: Coronavirus Disease 2019-confirmed and hospitalized adult patients. |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Setting: Four health centers from Virginia Commonwealth University, Georgetown University, the University of Florida, and the University of California, Los Angeles. |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Institution | MedStar Washington Hospital Center |
| 656 ## - INDEX TERM--OCCUPATION | |
| Department | Emergency Medicine |
| 657 ## - INDEX TERM--FUNCTION | |
| Medline publication type | Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Local Authors | Goyal, Munish |
| Institution Code | MWHC |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Local Authors | Maloy, Kevin |
| Institution Code | MWHC |
| 790 ## - Authors | |
| All authors | Li Y, Kong Y, Ebell MH, Martinez L, Cai X, Lennon RP, Tarn DM, Mainous AG, Zgierska AE, Barrett B, Tuan WJ, Maloy K, Goyal M, Krist AH, Gal TS, Sung MH, Li C, Jin Y, Shen Y |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| DOI | <a href="https://dx.doi.org/10.3389/fmed.2022.827261">https://dx.doi.org/10.3389/fmed.2022.827261</a> |
| Public note | https://dx.doi.org/10.3389/fmed.2022.827261 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Item type description | Article |
No items available.