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  • 1
    In: The Lancet Global Health, Elsevier BV, Vol. 12, No. 7 ( 2024-07), p. e1094-e1103
    Type of Medium: Online Resource
    ISSN: 2214-109X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2723488-5
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Journal of Trauma and Acute Care Surgery Vol. 89, No. 1 ( 2020-7), p. 246-253
    In: Journal of Trauma and Acute Care Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 89, No. 1 ( 2020-7), p. 246-253
    Abstract: There are well-known disparities for patients injured in rural setting versus urban setting. Many cite access to care; however, the mechanisms are not defined. One potential factor is differences in field triage. Our objective was to evaluate differences in prehospital undertriage (UT) in rural setting versus urban settings. METHODS Adult patients in the Pennsylvania Trauma Outcomes Study (PTOS) registry 2000 to 2017 were included. Rural/urban setting was defined by county according to the Pennsylvania Trauma Systems Foundation. Rural/urban classification was performed for patients and centers. Undertriage was defined as patients meeting physiologic or anatomic triage criteria from the National Field Triage Guidelines who were not initially transported to a Level I or Level II trauma center. Logistic regression determined the association between UT and rural/urban setting, adjusting for transport distance and prehospital time. Models were expanded to evaluate the effect of individual triage criteria, trauma center setting, and transport mode on UT. RESULTS There were 453,112 patients included (26% rural). Undertriage was higher in rural patients (8.6% vs. 3.4%, p 〈 0.01). Rural setting was associated with UT after adjusting for distance and prehospital time (odds ratio [OR], 3.52; 95% confidence interval [CI] , 1.82–6.78; p 〈 0.01). Different triage criteria were associated with UT in rural/urban settings. Rural setting was associated with UT for patients transferred to an urban center (OR, 3.32; 95% CI, 1.75–6.25; p 〈 0.01), but not a rural center (OR, 0.68; 95% CI, 0.08–5.53; p = 0.72). Rural setting was associated with UT for ground (OR, 5.01; 95% CI, 2.65–9.46; p 〈 0.01) but not air transport (OR, 1.18; 95% CI, 0.54–2.55; p = 0.68). CONCLUSION Undertriage is more common in rural settings. Specific triage criteria are associated with UT in rural settings. Lack of a rural trauma center requiring transfer to an urban center is a risk factor for UT of rural patients. Air medical transport mitigated the risk of UT in rural patients. Provider and system interventions may help reduce UT in rural settings. LEVEL OF EVIDENCE Care Management, Level IV.
    Type of Medium: Online Resource
    ISSN: 2163-0763 , 2163-0755
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2651313-4
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Journal of the American College of Surgeons Vol. 237, No. 2 ( 2023-08), p. 183-194
    In: Journal of the American College of Surgeons, Ovid Technologies (Wolters Kluwer Health), Vol. 237, No. 2 ( 2023-08), p. 183-194
    Abstract: Prehospital resuscitation guidelines vary widely, and blood products, although likely superior, are not available for most patients in the prehospital setting. Our objective was to determine the prehospital crystalloid volume associated with the lowest mortality among patients in hemorrhagic shock. STUDY DESIGN: This is a secondary analysis of the Prehospital Air Medical Plasma trial. Injured patients from the scene with hypotension and tachycardia or severe hypotension were included. Segmented regression and generalized additive models were used to evaluate nonlinear effects of prehospital crystalloid volume on 24-hour mortality. Logistic regression evaluated the association between risk-adjusted mortality and prehospital crystalloid volume ranges to identify optimal target volumes. Inverse propensity weighting was performed to account for patient heterogeneity. RESULTS: There were 405 patients included. Segmented regression suggested the nadir of 24-hour mortality lay within 377 to 1,419 mL prehospital crystalloid. Generalized additive models suggested the nadir of 24-hour mortality lay within 242 to 1,333 mL prehospital crystalloid. A clinically operationalized range of 250 to 1,250 mL was selected based on these findings. Odds of 24-hour mortality were higher for patients receiving less than 250 mL (adjusted odds ratio [aOR] 2.46; 95% CI 1.31 to 4.83; p = 0.007) and greater than 1,250 mL (aOR 2.57; 95% CI 1.24 to 5.45; p = 0.012) compared with 250 to 1,250 mL. Propensity-weighted regression similarly demonstrated odds of 24-hour mortality were higher for patients receiving less than 250 mL (aOR 2.62; 95% CI 1.34 to 5.12; p = 0.005) and greater than 1,250 mL (aOR 2.93; 95% CI 1.36 to 6.29; p = 0.006) compared with 250 to 1,250 mL. CONCLUSIONS: Prehospital crystalloid volumes between 250 and 1,250 mL are associated with lower mortality compared with lower or higher volumes. Further work to validate these finding may provide practical volume targets for prehospital crystalloid resuscitation.
    Type of Medium: Online Resource
    ISSN: 1072-7515
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Journal of Trauma and Acute Care Surgery Vol. 90, No. 6 ( 2021-6), p. 967-972
    In: Journal of Trauma and Acute Care Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 90, No. 6 ( 2021-6), p. 967-972
    Abstract: The National Field Triage Guidelines were created to inform triage decisions by emergency medical services (EMS) providers and include eight anatomic injuries that prompt transportation to a Level I/II trauma center. It is unclear how accurately EMS providers recognize these injuries. Our objective was to compare EMS-identified anatomic triage criteria with International Classification of Diseases-10th revision (ICD-10) coding of these criteria, as well as their association with trauma center need (TCN). METHODS Scene patients 16 years and older in the NTDB during 2017 were included. National Field Triage Guidelines anatomic criteria were classified based on EMS documentation and ICD-10 diagnosis codes. The primary outcome was TCN, a composite of Injury Severity Score greater than 15, intensive care unit admission, urgent surgery, or emergency department death. Prevalence of anatomic criteria and their association with TCN was compared in EMS-identified versus ICD-10–coded criteria. Diagnostic performance to predict TCN was compared. RESULTS There were 669,795 patients analyzed. The ICD-10 coding demonstrated a greater prevalence of injury detection. Emergency medical service–identified versus ICD-10–coded anatomic criteria were less sensitive (31% vs. 59%), but more specific (91% vs. 73%) and accurate (71% vs. 68%) for predicting TCN. Emergency medical service providers demonstrated a marked reduction in false positives (9% vs. 27%) but higher rates of false negatives (69% vs. 42%) in predicting TCN from anatomic criteria. Odds of TCN were significantly greater for EMS-identified criteria (adjusted odds ratio, 4.5; 95% confidence interval, 4.46–4.58) versus ICD-10 coding (adjusted odds ratio 3.7; 95% confidence interval, 3.71–3.79). Of EMS-identified injuries, penetrating injury, flail chest, and two or more proximal long bone fractures were associated with greater TCN than ICD-10 coding. CONCLUSION When evaluating the anatomic criteria, EMS demonstrate greater specificity and accuracy in predicting TCN, as well as reduced false positives compared with ICD-10 coding. Emergency medical services identification is less sensitive for anatomic criteria; however, EMS identify the most clinically significant injuries. Further study is warranted to identify the most clinically important anatomic triage criteria to improve our triage protocols. LEVEL OF EVIDENCE Care management, Level IV; Prognostic, Level III.
    Type of Medium: Online Resource
    ISSN: 2163-0763 , 2163-0755
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 2651313-4
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  • 5
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Journal of Trauma and Acute Care Surgery Vol. 91, No. 1 ( 2021-7), p. 178-185
    In: Journal of Trauma and Acute Care Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 91, No. 1 ( 2021-7), p. 178-185
    Abstract: Despite evidence of benefit after injury, helicopter emergency medical services (HEMS) overtriage remains high. Scene and transfer overtriage are distinct processes. Our objectives were to identify geographic variation in overtriage and patient-level predictors, and determine if overtriage impacts population-level outcomes. METHODS Patients 16 years or older undergoing scene or interfacility HEMS in the Pennsylvania Trauma Outcomes Study were included. Overtriage was defined as discharge within 24 hours of arrival. Patients were mapped to zip code, and rates of overtriage were calculated. Hot spot analysis identified regions of high and low overtriage. Mixed-effects logistic regression determined patient predictors of overtriage. High and low overtriage regions were compared for population-level injury fatality rates. Analyses were performed for scene and transfer patients separately. RESULTS A total of 85,572 patients were included (37.4% transfers). Overtriage was 5.5% among scene and 11.8% among transfer HEMS ( p 〈 0.01). Hot spot analysis demonstrated geographic variation in high and low overtriage for scene and transfer patients. For scene patients, overtriage was associated with distance (odds ratio [OR], 1.03; 95% confidence interval [CI] , 1.01–1.06 per 10 miles; p = 0.04), neck injury (OR, 1.27; 95% CI, 1.01–1.60; p = 0.04), and single-system injury (OR, 1.37; 95% CI, 1.15–1.64; p 〈 0.01). For transfer patients, overtriage was associated with rurality (OR, 1.64; 95% CI, 1.22–2.21; p 〈 0.01), facial injury (OR, 1.22; 95% CI, 1.03–1.44; p = 0.02), and single-system injury (OR, 1.35; 95% CI, 1.18–2.19; p 〈 0.01). For scene patients, high overtriage was associated with higher injury fatality rate (coefficient, 1.72; 95% CI, 1.68–1.76; p 〈 0.01); low overtriage was associated with lower injury fatality rate (coefficient, −0.73; 95% CI, −0.78 to −0.68; p 〈 0.01). For transfer patients, high overtriage was not associated with injury fatality rate ( p = 0.53); low overtriage was associated with lower injury fatality rate (coefficient, −2.87; 95% CI, −4.59 to −1.16; p 〈 0.01). CONCLUSION Geographic overtriage rates vary significantly for scene and transfer HEMS, and are associated with population-level outcomes. These findings can help guide targeted performance improvement initiatives to reduce HEMS overtriage. LEVEL OF EVIDENCE Therapeutic, level IV.
    Type of Medium: Online Resource
    ISSN: 2163-0763 , 2163-0755
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 2651313-4
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  • 6
    In: Journal of Surgical Research, Elsevier BV, Vol. 261 ( 2021-05), p. 385-393
    Type of Medium: Online Resource
    ISSN: 0022-4804
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1470806-1
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  • 7
    In: Annals of Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 278, No. 4 ( 2023-10), p. e840-e847
    Abstract: Evaluate the association of survival with helicopter transport directly to a trauma center compared with ground transport to a non-trauma center (NTC) and subsequent transfer. Summary Background Data: Helicopter transport improves survival after injury. One potential mechanism is direct transport to a trauma center when the patient would otherwise be transported to an NTC for subsequent transfer. Methods: Scene patients 16 years and above with positive physiological or anatomic triage criteria within PTOS 2000-2017 were included. Patients transported directly to level I/II trauma centers by helicopter were compared with patients initially transported to an NTC by ground with a subsequent helicopter transfer to a level I/II trauma center. Propensity score matching was used to evaluate the association between direct helicopter transport and survival. Individual triage criteria were evaluated to identify patients most likely to benefit from direct helicopter transport. Results: In all, 36,830 patients were included. Direct helicopter transport was associated with a nearly 2-fold increase in odds of survival compared with NTC ground transport and subsequent transfer by helicopter (aOR 2.78; 95% CI 2.24–3.44, P 〈 0.01). Triage criteria identifying patients with a survival benefit from direct helicopter transport included GCS≤13 (1.71; 1.22–2.41, P 〈 0.01), hypotension (2.56; 1.39–4.71, P 〈 0.01), abnormal respiratory rate (2.30; 1.36–3.89, P 〈 0.01), paralysis (8.01; 2.03–31.69, P 〈 0.01), hemothorax/pneumothorax (2.34; 1.36–4.05, P 〈 0.01), and multisystem trauma (2.29; 1.08–4.84, P =0.03). Conclusions: Direct trauma center access is a mechanism driving the survival benefit of helicopter transport. First responders should consider helicopter transport for patients meeting these criteria who would otherwise be transported to an NTC.
    Type of Medium: Online Resource
    ISSN: 0003-4932
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2002200-1
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  • 8
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Journal of Trauma and Acute Care Surgery Vol. 92, No. 2 ( 2022-2), p. 287-295
    In: Journal of Trauma and Acute Care Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 92, No. 2 ( 2022-2), p. 287-295
    Abstract: Social determinants of health (SDOH) impact patient outcomes in trauma. Census data are often used to account for SDOH; however, there is no consensus on which variables are most important. Social vulnerability indices offer the advantage of combining multiple constructs into a single variable. Our objective was to determine if incorporation of SDOH in patient-level risk-adjusted outcome modeling improved predictive performance. METHODS We evaluated two social vulnerability indices at the zip code level: Distressed Community Index (DCI) and National Risk Index (NRI). Individual variable combinations from Agency for Healthcare Research and Quality's SDOH data set were used for comparison. Patients were obtained from the Pennsylvania Trauma Outcomes Study 2000 to 2020. These measures were added to a validated base mortality prediction model with comparison of area under the curve and Bayesian information criterion. We performed center benchmarking using risk-standardized mortality ratios to evaluate change in rank and outlier status based on SDOH. Geospatial analysis identified geographic variation and autocorrelation. RESULTS There were 449,541 patients included. The DCI and NRI were associated with an increase in mortality (adjusted odds ratio, 1.02; 95% confidence interval, 1.01–1.03 per 10% percentile rank increase; p 〈 0.01, respectively). The DCI, NRI, and seven Agency for Healthcare Research and Quality variables also improved base model fit but discrimination was similar. Two thirds of centers changed mortality ranking when accounting for SDOH compared with the base model alone. Outlier status changed in 7% of centers, most representing an improvement from worse-than-expected to nonoutlier or nonoutlier to better-than-expected. There was significant geographic variation and autocorrelation of the DCI and NRI (DCI; Moran's I 0.62, p = 0.01; NRI; Moran's I 0.34, p = 0.01). CONCLUSION Social determinants of health are associated with an individual patient's risk of mortality after injury. Accounting for SDOH may be important in risk adjustment for trauma center benchmarking. LEVEL OF EVIDENCE Prognostic/Epidemiologic, level IV.
    Type of Medium: Online Resource
    ISSN: 2163-0763 , 2163-0755
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2651313-4
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  • 9
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2013
    In:  Annals of Surgery Vol. 258, No. 2 ( 2013-08), p. 296-300
    In: Annals of Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 258, No. 2 ( 2013-08), p. 296-300
    Type of Medium: Online Resource
    ISSN: 0003-4932
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2013
    detail.hit.zdb_id: 2002200-1
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 2012
    In:  Geriatric Orthopaedic Surgery & Rehabilitation Vol. 3, No. 2 ( 2012-06), p. 68-73
    In: Geriatric Orthopaedic Surgery & Rehabilitation, SAGE Publications, Vol. 3, No. 2 ( 2012-06), p. 68-73
    Abstract: The dynamic helical hip system (DHHS; Synthes, Paoli, Pennsylvania) differs from the standard dynamic sliding hip screw (SHS) in that in preparing for its insertion, reaming of the femoral head is not performed, thereby preserving bone stock. It also requires less torque for insertion of the helical screw. The associated plate has locking options to allow locking screw fixation in the femoral shaft, thereby decreasing the chance of the plate pulling off. While biomechanical studies have shown improved resistance to cutout and increased rotational stability of the femoral head fragment when compared with traditional hip lag screws, there is limited information on clinical outcome of the implant available in the literature. Methods: We report a single surgeon series of 87 patients who were treated for their per-trochanteric hip fractures with this implant to evaluate their clinical outcome and compare it with a cohort of 344 patients who were treated with the standard SHS. All data were prospectively collected, most as part of a structured Geriatric Fracture Care Program. Results: The 2 groups were similar demographically, and medically, with similar rates of in-hospital complications and implant failure. Failure in the DHHS group was attributable to use of the implant outside its indications and repeated fall of the patient. Conclusion: This limited case series showed that the DHHS outcomes are comparable with that of the SHS. Whether there is any benefit to its use will require larger, prospective randomized controlled trials.
    Type of Medium: Online Resource
    ISSN: 2151-4593 , 2151-4593
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2589094-3
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