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Schmulevich D, Geng Z, Joergensen SM, McLauchlan NR, Winter E, Zone A, Bishop KE, Hinkle A, Holland S, Cacchione PZ, Fox EE, Abella BS, Meador CL, Wade CE, Hynes AM, Cannon JW. Real-time performance improvement optimizes damage control resuscitation best practice adherence: Results of a pilot prospective observational study. Transfusion 2024; 64:1692-1702. [PMID: 39072759 DOI: 10.1111/trf.17970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 07/03/2024] [Accepted: 07/07/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Maintaining balanced blood product ratios during damage control resuscitation (DCR) is independently associated with improved survival. We hypothesized that real-time performance improvement (RT-PI) would increase adherence to DCR best practice. STUDY DESIGN AND METHODS From December 2020-August 2021, we prospectively used a bedside RT-PI tool to guide DCR in severely injured patients surviving at least 30 min. RT-PI study patients were compared to contemporary control patients at our institution and historic PROMMTT study patients. A subset of patients transfused ≥6 U red blood cells (RBC) in 6 h (MT+) was also identified. The primary endpoint was percentage time in a high ratio range (≥3:4) of plasma (PLAS):RBC and platelet (PLT):RBC over 6 h. Secondary endpoints included time to massive transfusion protocol activation, time to calcium and tranexamic acid (TXA) dosing, and cumulative 6-h ratios. RESULTS Included patients (n = 772) were 35 (24-51) years old with an Injury Severity Score of 27 (17-38) and 42% had penetrating injuries. RT-PI (n = 10) patients spent 96% of the 6-h resuscitation in a high PLAS:RBC range, no different versus CONTROL (n = 87) (96%) but more than PROMMTT (n = 675) (25%, p < .001). In the MT+ subgroup, optimal PLAS:RBC and PLT:RBC were maintained for the entire 6 h in RT-PI (n = 4) versus PROMMTT (n = 391) patients for both PLAS (p < .001) and PLT ratios (p < .001). Time to TXA also improved significantly in RT-PI versus CONTROL patients (27 min [22-31] vs. 51 min [29-98], p = .035). CONCLUSION In this prospective study, RT-PI was associated with optimized DCR. Multicenter validation of this novel approach to optimizing DCR implementation is warranted.
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Affiliation(s)
- Daniela Schmulevich
- Division of Traumatology, Surgical Critical Care, and Emergency Surgery, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Cleveland Clinic Lerner College of Medicine, Cleveland, Ohio, USA
| | - Zhi Geng
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sarah M Joergensen
- Penn Acute Research Collaboration (PARC), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nathaniel R McLauchlan
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Eric Winter
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alea Zone
- Penn Acute Research Collaboration (PARC), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kathleen E Bishop
- Penn Acute Research Collaboration (PARC), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alyson Hinkle
- Department of Nursing, Penn Presbyterian Medical Center, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Sara Holland
- Department of Nursing, Penn Presbyterian Medical Center, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Pamela Z Cacchione
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Nursing, Penn Presbyterian Medical Center, Penn Medicine, Philadelphia, Pennsylvania, USA
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Erin E Fox
- Center for Translational Injury Research, Department of Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Benjamin S Abella
- Penn Acute Research Collaboration (PARC), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Charles E Wade
- Center for Translational Injury Research, Department of Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Allyson M Hynes
- Division of Traumatology, Surgical Critical Care, and Emergency Surgery, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeremy W Cannon
- Division of Traumatology, Surgical Critical Care, and Emergency Surgery, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Penn Acute Research Collaboration (PARC), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
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Gagen B, Duchesne J, Ghio M, Duplechain A, Krakosky D, Simpson JT, Tatum D. PROSPECTIVE EXAMINATION OF THE K/ICA RATIO AS A PREDICTOR FOR MORTALITY IN SEVERE HEMORRHAGE. Shock 2024; 61:34-40. [PMID: 37752083 DOI: 10.1097/shk.0000000000002238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
ABSTRACT Background: Patients receiving massive transfusion protocol (MTP) are at risk for posttransfusion hypocalcemia and hyperkalemia. Previous retrospective analysis has suggested the potassium/ionized calcium (K/iCa) ratio as a prognostic indicator of mortality. This prospective study sought to validate the value of the K/iCa ratio as a predictor for mortality in patients receiving MTP. Methods: This was a prospective analysis of adult trauma patients who underwent MTP activation from May 2019 to March 2021 at an urban level 1 trauma center. Serum potassium and iCa levels within 0 to 1 h of MTP initiation were used to obtain K/iCa. Receiver operator characteristic curve analysis assessed predictive capacity of K/iCa on mortality. Kaplan-Meier survival analysis and Cox regression examined the effect of K/iCa ratio on survival. Results: A total of 110 of 300 MTP activation patients met inclusion criteria. Overall mortality rate was 31.8%. No significant differences between the elevated K/iCa and lower K/iCa groups were found for prehospital or emergency department initial vitals, shock index, or injury severity. However, nonsurvivors had a significantly higher median K/iCa ratio compared with those who survived ( P < 0.01). Multivariable logistic regression revealed the total number of blood products to be significantly associated with elevated K/iCa (odds ratio, 1.02; 95% CI, 1.01-1.04; P = 0.01). The Kaplan Meier survival curve demonstrated a significantly increased rate of survival for those with an elevated K/iCa ratio ( P < 0.01). Multivariable Cox regression adjusted for confounders showed a significant association between K/iCa and mortality (Hazard Ratio, 4.12; 95% CI, 1.89-8.96; P < 0.001). Conclusion: This evidence further highlights the importance of the K/iCa ratio in predicting mortality among trauma patients receiving MTP. Furthermore, it demonstrates that posttransfusion K levels along with iCa levels should be carefully monitored in the MTP setting. Level of Evidence: Level II. Study Type: Prognostic/epidemiological.
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Affiliation(s)
- Brennan Gagen
- Department of Surgery, Tulane University School of Medicine, New Orleans, Louisiana 70112
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Change in outcomes for trauma patients over time: Two decades of a state trauma system. Injury 2022; 53:2915-2922. [PMID: 35752485 DOI: 10.1016/j.injury.2022.06.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 05/26/2022] [Accepted: 06/09/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Trauma center mortality rates are benchmarked to expected rates of death based on patient and injury characteristics. The expected mortality rate is recalculated from pooled outcomes across a trauma system each year, obscuring system-level change across years. We hypothesized that risk-adjusted mortality would decrease over time within a state-wide trauma system. METHODS We identified adult trauma patients presenting to Level I and II Pennsylvania trauma centers, 1999-2018, using the Pennsylvania Trauma Outcomes Study. Multivariable logistic regression generated risk-adjusted models for mortality in all patients, and in key subgroups: penetrating torso injury, blunt multisystem trauma, and patients presenting in shock. RESULTS Of 162,646 included patients, 123,518 (76.1%) were white and 108,936 (67.0%) were male. The median age was 49 (interquartile range [IQR] 29-70), median injury severity score was 16 (IQR 10-24), and 87.5% of injuries were blunt. Overall, 9.9% of patients died, and compared to 1999, no year had significantly higher adjusted odds of mortality. Overall mortality was significantly lower in 2007-2009 and 2011-2018. Of patients with blunt, multisystem injuries, 17.7% died, and adjusted mortality improved over time. Mortality rates were 24.9% for penetrating torso injury, and 56.9% for shock, with no significant change. Mortality improved for patients with ISS < 25, but not for the most severely injured. CONCLUSIONS Over 20 years, Pennsylvania trauma centers demonstrated improved risk-adjusted mortality rates overall, but improvement remains lacking in high-risk groups despite numerous innovations and practice changes in this time period. Identifying change over time can help guide focus to these critical gaps.
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