No abstract

BACKGROUND:The Trauma and Injury Severity Score (TRISS) uses anatomical and physiologic variables to predict mortality. Elderly (65 years or older) trauma patients have increased mortality and morbidity for a given TRISS, in part because of functional status and comorbidities. These factors are incorporated into the American Society of Anesthesiologists Physical Status (ASA-PS) and National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC). We hypothesized scoring tools using comorbidities and functional status to be superior at predicting mortality, hospital length of stay (LOS), and complications in elderly trauma patients undergoing operation. METHODS:Four level I trauma centers prospectively collected data on elderly trauma patients undergoing surgery within 24 hours of admission. Using logistic regression, five scoring models were compared: ASA-PS, NSQIP-SRC, TRISS, TRISS-ASA-PS, and TRISS-NSQIP-SRC.Brier scores and area under the receiver operator characteristics curve were calculated to compare mortality prediction. Adjusted R 2 and root mean squared error were used to compare LOS and predictive ability for number of complications. RESULTS:From 122 subjects, 9 (7.4%) died, and the average LOS was 12.9 days (range, 1-110 days). National Surgical Quality Improvement Program Surgical Risk Calculator was superior to ASA-PS and TRISS at predicting mortality (area under the receiver operator characteristics curve, 0.978 vs. 0.768 vs. 0.903; p = 0.007). Furthermore, NSQIP-SRC was more accurate predicting LOS (R 2 , 25.9% vs. 13.3% vs. 20.5%) and complications (R 2 , 34.0% vs. 22.6% vs. 29.4%) compared with TRISS and ASA-PS. Adding TRISS to NSQIP-SRC improved predictive ability compared with NSQIP-SRC alone for complications (R 2 , 35.5% vs. 34.0%; p = 0.046). However, adding ASA-PS or TRISS to NSQIP-SRC did not improve the predictive ability for mortality or LOS. CONCLUSION:The NSQIP-SRC, which includes comorbidities and functional status, had superior ability to predict mortality, LOS, and complications compared with TRISS alone in elderly trauma patients undergoing surgery.

A negative pressure wound therapy (NPWT) protocol using Hydrofera Blue Ò bacteriostatic foam wicks and silver-impregnated foam overlay to close midline skin incisions after emergency celiotomy was compared to primary skin closure only and traditional open wound vacuum-assisted closure management as part of a quality improvement initiative. This single-institution retrospective cohort study assessed all consecutive emergency celiotomies from July 2013 to June 2014 excluding clean wounds. Included variables were demographics, wound classification, NPWT days, and surgical site occurrences (SSOs). Primary outcome was days of NPWT. Secondary outcomes included SSOs (surgical site infections, fascial dehiscence, return to operating room). Analysis used exact chisquare between categorical variables, Kruskal-Wallis for analysis of variance for ordinal and categorical variables, and Wilcoxon rank sum for total days of NPWT. One hundred fifty-eight patients underwent emergency celiotomy with primary skin closure (n D 51), open NPWT (n D 63), or the NPWT protocol (n D 44). There was no difference in American Society of Anesthesiologists Physical Status score, body mass index, wound classification, or SSO between the three groups. Total NPWT days were reduced in protocol versus open NPWT (median 3 vs 20.5 days, range 3-51 vs 3-405 days, P D 0.001). Primary skin closure and NPWT protocol had fewer patients discharged with NPWT than open NWPT (0% and 14% vs 63.5%, P < 0.0001, odds ratio D 10.7, 95% confidence interval 3.7-35.1). Primary skin closure and NPWT protocol decrease NPWT usage days and maintain low SSOs in emergency midline celiotomy incisions.

The ACS Committee on Trauma specifies prehospital criteria that trigger trauma team activation (TTA). The study aims to define the relationship between TTA and time of day, mechanism of injury, and need for operative intervention. All trauma patients presenting to LAC1USC (January 2008–July 2018) after triggering TTA were screened. Patients were excluded if time of ED arrival was undocumented. Demographics, injury data, and outcomes were analyzed. After exclusions (<1%), 54,826 patients were enrolled. The median age was 35 [IQR 23–53]. The median Injury Severity Score was 4 [1–10]. The most common mechanisms of injury were falls (n = 14,166; 31%), auto versus pedestrian collisions (n = 11,921; 26%), and motor vehicle collisions (n = 11,024; 24%). Penetrating trauma comprised 16 per cent (n = 8,686). The busiest hour for TTAs was 19:00 to 20:00, although penetrating trauma was most common between 23:00 and 01:00. Emergent surgical intervention in absolute numbers was most frequent between 20:00 and 01:00. As a proportion of the number of TTAs per hour, emergent operative intervention was most frequent between 23:00 and 06:00. In conclusion, the volume of TTAs and the triggering mechanism of injury vary significantly by time of day. The need for operative intervention is highest overnight. This information can be used to help increase hospital preparedness and allocate resources accordingly.