Academic Journal
Does Trauma Center Volume Matter? An Analysis of Trauma Center Volume on Outcome Using the TQIP/NTDB Database
| Τίτλος: | Does Trauma Center Volume Matter? An Analysis of Trauma Center Volume on Outcome Using the TQIP/NTDB Database |
|---|---|
| Συγγραφείς: | Alan Cook, Nicholas J. Larson, Heidi M. Altamirano, Brittany Ray, Brandi Pero, Musharaf Mohiuddin, Rebecca Swindall, Carly Wadle, David J. Dries, Benoit Blondeau, Frederick Rogers |
| Πηγή: | Journal of Clinical Medicine ; Volume 13 ; Issue 22 ; Pages: 6655 |
| Στοιχεία εκδότη: | Multidisciplinary Digital Publishing Institute |
| Έτος έκδοσης: | 2024 |
| Συλλογή: | MDPI Open Access Publishing |
| Θεματικοί όροι: | trauma, trauma centers, trauma systems, admission volume, trauma center verification |
| Περιγραφή: | Background: Increasing trauma center admission volume is said to decrease mortality. Evidence supporting this position is dependent upon patient groups and the time period studied, and gaps remain. We evaluated the effect of annual volume of critically injured patients on hospital mortality, comparing two time periods. The effect of critically injured patient volume on risk-adjusted mortality was hypothesized to decrease over time. Methods: This was a retrospective cohort study comparing data from an early group (2007–2011) and late group (2017–2021) of the National Trauma Data Bank. Critically injured adults (ISS > 15) admitted to the intensive care unit (ICU) or operating room from the emergency department at Level I and II trauma centers were included. The outcome of interest was risk-adjusted mortality across quintiles of patient admission volume, modeled using mixed-effects generalized linear models. Results: In total, 802,824 patients were included, 321,209 and 481,615 in the early and late groups, respectively. In the early group, increased patient volume was associated with a decreased risk-adjusted odds of mortality. This association was not seen in the late group. The overall odds of mortality in the late group demonstrated decreased mortality over time (OR 0.84, p < 0.001). Conclusions: The annual volume of critically injured patients was associated with decreased odds of hospital mortality during 2007–2011, though this effect was no longer present in the 2017–2021 sample. The continued dissemination of the best practices is warranted to decrease mortality, regardless of the admission volume of critically injured patients. |
| Τύπος εγγράφου: | text |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | Intensive Care; https://dx.doi.org/10.3390/jcm13226655 |
| DOI: | 10.3390/jcm13226655 |
| Διαθεσιμότητα: | https://doi.org/10.3390/jcm13226655 |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.92437882 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.3390/jcm13226655# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.92437882 RelevancyScore: 950 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 949.707946777344 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Does Trauma Center Volume Matter? An Analysis of Trauma Center Volume on Outcome Using the TQIP/NTDB Database – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alan+Cook%22">Alan Cook</searchLink><br /><searchLink fieldCode="AR" term="%22Nicholas+J%2E+Larson%22">Nicholas J. Larson</searchLink><br /><searchLink fieldCode="AR" term="%22Heidi+M%2E+Altamirano%22">Heidi M. Altamirano</searchLink><br /><searchLink fieldCode="AR" term="%22Brittany+Ray%22">Brittany Ray</searchLink><br /><searchLink fieldCode="AR" term="%22Brandi+Pero%22">Brandi Pero</searchLink><br /><searchLink fieldCode="AR" term="%22Musharaf+Mohiuddin%22">Musharaf Mohiuddin</searchLink><br /><searchLink fieldCode="AR" term="%22Rebecca+Swindall%22">Rebecca Swindall</searchLink><br /><searchLink fieldCode="AR" term="%22Carly+Wadle%22">Carly Wadle</searchLink><br /><searchLink fieldCode="AR" term="%22David+J%2E+Dries%22">David J. Dries</searchLink><br /><searchLink fieldCode="AR" term="%22Benoit+Blondeau%22">Benoit Blondeau</searchLink><br /><searchLink fieldCode="AR" term="%22Frederick+Rogers%22">Frederick Rogers</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Clinical Medicine ; Volume 13 ; Issue 22 ; Pages: 6655 – Name: Publisher Label: Publisher Information Group: PubInfo Data: Multidisciplinary Digital Publishing Institute – Name: DatePubCY Label: Publication Year Group: Date Data: 2024 – Name: Subset Label: Collection Group: HoldingsInfo Data: MDPI Open Access Publishing – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22trauma%22">trauma</searchLink><br /><searchLink fieldCode="DE" term="%22trauma+centers%22">trauma centers</searchLink><br /><searchLink fieldCode="DE" term="%22trauma+systems%22">trauma systems</searchLink><br /><searchLink fieldCode="DE" term="%22admission+volume%22">admission volume</searchLink><br /><searchLink fieldCode="DE" term="%22trauma+center+verification%22">trauma center verification</searchLink> – Name: Abstract Label: Description Group: Ab Data: Background: Increasing trauma center admission volume is said to decrease mortality. Evidence supporting this position is dependent upon patient groups and the time period studied, and gaps remain. We evaluated the effect of annual volume of critically injured patients on hospital mortality, comparing two time periods. The effect of critically injured patient volume on risk-adjusted mortality was hypothesized to decrease over time. Methods: This was a retrospective cohort study comparing data from an early group (2007–2011) and late group (2017–2021) of the National Trauma Data Bank. Critically injured adults (ISS > 15) admitted to the intensive care unit (ICU) or operating room from the emergency department at Level I and II trauma centers were included. The outcome of interest was risk-adjusted mortality across quintiles of patient admission volume, modeled using mixed-effects generalized linear models. Results: In total, 802,824 patients were included, 321,209 and 481,615 in the early and late groups, respectively. In the early group, increased patient volume was associated with a decreased risk-adjusted odds of mortality. This association was not seen in the late group. The overall odds of mortality in the late group demonstrated decreased mortality over time (OR 0.84, p < 0.001). Conclusions: The annual volume of critically injured patients was associated with decreased odds of hospital mortality during 2007–2011, though this effect was no longer present in the 2017–2021 sample. The continued dissemination of the best practices is warranted to decrease mortality, regardless of the admission volume of critically injured patients. – Name: TypeDocument Label: Document Type Group: TypDoc Data: text – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: Intensive Care; https://dx.doi.org/10.3390/jcm13226655 – Name: DOI Label: DOI Group: ID Data: 10.3390/jcm13226655 – Name: URL Label: Availability Group: URL Data: https://doi.org/10.3390/jcm13226655 – Name: Copyright Label: Rights Group: Cpyrght Data: https://creativecommons.org/licenses/by/4.0/ – Name: AN Label: Accession Number Group: ID Data: edsbas.92437882 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.92437882 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jcm13226655 Languages: – Text: English Subjects: – SubjectFull: trauma Type: general – SubjectFull: trauma centers Type: general – SubjectFull: trauma systems Type: general – SubjectFull: admission volume Type: general – SubjectFull: trauma center verification Type: general Titles: – TitleFull: Does Trauma Center Volume Matter? An Analysis of Trauma Center Volume on Outcome Using the TQIP/NTDB Database Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alan Cook – PersonEntity: Name: NameFull: Nicholas J. Larson – PersonEntity: Name: NameFull: Heidi M. Altamirano – PersonEntity: Name: NameFull: Brittany Ray – PersonEntity: Name: NameFull: Brandi Pero – PersonEntity: Name: NameFull: Musharaf Mohiuddin – PersonEntity: Name: NameFull: Rebecca Swindall – PersonEntity: Name: NameFull: Carly Wadle – PersonEntity: Name: NameFull: David J. Dries – PersonEntity: Name: NameFull: Benoit Blondeau – PersonEntity: Name: NameFull: Frederick Rogers IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: Journal of Clinical Medicine ; Volume 13 ; Issue 22 ; Pages: 6655 Type: main |
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