Management of Upper Extremity Vascular Injury: Outcome Related to the Mangled Extremity Severity Score

Background  The Mangled Extremity Severity Score (MESS) is an objective criterion for amputation prediction after lower extremity injury as well as for amputation prediction after upper extremity injury. A MESS of ≥7 has been utilized as a cutoff point for amputation prediction. In this study, we examined the result of upper extremity vascular injurty (UEVI) management in terms of the amputation rate as related to the MESS. Methods  During January 2002 to July 2007, we reviewed patients with UEVIs at our institution. Data collections included demographic data, mechanism of injuries, injury severity score (ISS), ischemic time, MESS, pathology of UEVI, operative management, and amputation rate. Decisions to amputate the injured limbs at our institution were made individually by clinically assessing limb viability (i.e., color and capillary refill of skin; color, consistency, and contractility of muscles) regardless of the MESS. The outcome was analyzed in terms of the amputation rate related to the MESS. Results  There were 52 patients with UEVIs in this study: 25 (48%) suffered blunt injuries and 27 (52%) suffered penetrating injuries. The age ranged from 15 to 59 years (mean 28.7 years). The mean ischemia time was 10.07 h. The mean ISS was 17.52. There were 12 patients (23%) with subclavian artery injuries, 3 patients (5.76%) with axillary artery injuries, 18 patients (34.61%) with brachial artery injuries, and 19 patients (36.54%) with radial artery and/or ulnar artery injuries. Primary repairs were performed in 45 patients (86.54%), with ligations in 3 patients (5.77%). An endovascular stent-graft was used in one patient (1.92%). Primary amputations were performed in three patients (5.77%). Secondary amputations (amputation after primary operation) were done in 4 of 49 patients (secondary amputation rate 8.16%). All amputation patients suffered blunt injuries and had a MESS of ≥7 (range 7–11). The overall amputation rate in this study was 13.46% (7/52 patients). Multivariate analysis revealed that the only factor significantly associated with amputation was the MESS. There were no amputations in 33 patients who had a MESS of <7. We could avoid amputation in 12 of 19 patients who had a MESS ≥7. There were no mortalities among 52 UEVI patients. Conclusions  MESS, an outcome score used to grade the severity of extremity injuries, correlates well with the risk of amputation. Nevertheless, a MESS of ≥7 does not always mandate amputation. On the other hand, the MESS is a better predictor for patients who do not require amputation when the score is <7. The decisions to amputate in patients should be made individually based on clinical signs and an intraoperative finding of irreversible limb ischemia.     

上肢创伤合并血管损伤的诊断和治疗

自1986年6月至1989年底收治上肢创伤患者89例,合并血管损伤27例,其中骨折合并血管损伤9例,发生率为10.1％。认为只有重视对损伤机理的分析、正确判断伤情、早期明确诊断,应用显微血管外科技术,治愈率方能不断提高。     

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

Abstract Background: The public health significance of injuries that occur in developing countries is now recognized. In 1996, as part of the injury surveillance registry in Kampala, Uganda, a new score, the Kampala Trauma Score (KTS) was instituted. The KTS, developed in light of the limited resource base of sub-Saharan Africa, is a simplified composite of the Revised Trauma Score (RTS) and the Injury Severity Score (ISS) and closely resembles the Trauma Score and Injury Severity Score (TRISS). Patients and Methods: The KTS was applied retrospectively to a cohort of prospectively accrued urban trauma patients with the RTS, ISS and TRISS calculated. Using ROC (receiver operating characteristics) analysis, logistic regression models and sensitivity and specificity cutoff analysis, the KTS was compared to these three scores. Results: Using logistic regression models and areas under the ROC curve, the RTS proved a more robust predictor of death at 2 weeks in comparison to the KTS. However, differences in screening performance were marginal (areas under the ROC curves were 87% for the RTS and 84% for the KTS) with statistical significance only reached for an improved specificity (67% vs. 47%; p < 0.001), at a fixed sensitivity of 90%. In addition, the KTS predicted hospitalization at 2 weeks more accurately. Conclusion: The KTS statistically performs comparably to the RTS and ISS alone as well as to the TRISS but has the added advantage of utility. Therefore, the KTS has potential as a triage tool in resource-poor and similar health care settings.     

Secondary Overtriage of Trauma Patients to a Central Hospital in Malawi

World Journal of Surgery - Secondary overtriage (OT) is the unnecessary transfer of injured patients between facilities. In low- and middle-income countries (LMICs), which shoulder the greatest...     

Comparison of artificial intelligence techniques with UKTRISS for estimating probability of survival after trauma. UK Trauma and Injury Severity Score

BACKGROUND: The development of TRISS was principally a search for variables that correlated with outcome. It is not known, however, if linear statistical models provide optimal results. Artificial intelligence techniques can answer this question and also determine the most important predictor variables. METHODS: An artificial neural network, using 16 anatomic and physiologic predictor variables, was compared with the latest United Kingdom version of TRISS model. RESULTS: Both methods were 89.6% correct, but TRISS was significantly better by the area under the receiver operating characteristic curve (0.941 vs. 0.921, p < 0.001). The artificial neural network, however, was better calibrated to the test data (Hosmer-Lemeshow statistic, 58.3 vs. 105.4). Head injury, age, and chest injury were the most important predictors by linear or nonlinear methods, whereas respiration rate, heart rate, and systolic blood pressure were underused. CONCLUSION: Prediction using linear statistics is adequate but not optimal. Only half the predictors have important predictive value, fewer still when using linear classification. The strongest predictors swamp any nonlinearity observed in other variables.     

The Modified Glasgow Prognostic Score as a Predictor of Survival After Hepatectomy for Colorectal Liver Metastases

Background

The inflammation-based Glasgow prognostic score (GPS) has been demonstrated to be prognostic for various tumors. We investigated the value of the modified GPS (mGPS) for the prognosis of patients undergoing curative resection for colorectal liver metastases (CRLM).

Methods

A total of 343 patients were enrolled onto this study. The mGPS was calculated as follows: mGPS-0, C-reactive protein (CRP) ≤10 mg/L; mGPS-1, CRP >10 mg/L and albumin ≥35 g/L; and mGPS-2, CRP >10 mg/L and albumin <35 g/L. Prognostic significance was retrospectively analyzed by univariate and multivariate analyses.

Results

Of the 343 patients, 295 (86.0 %) were assigned to mGPS-0, 33 (9.6 %) to mGPS-1, and 15 (4.4 %) to mGPS-2. The median disease-free survival of patients with mGPS-0, -1, and -2 was 18.3, 15.5, and 5.2 months, respectively. The median cancer-specific survival (CSS) of patients with mGPS-0, -1, and -2 was 89.5, 62.2, and 25.8 months, respectively. The CSS of patients with mGPS-0 was significantly longer than that of patients with mGPS-2. Multivariate analysis revealed a significant association between cancer-related postoperative mortality and mGPS and carcinoembryonic antigen level.

Conclusions

The preoperative mGPS is a useful prognostic factor for postoperative survival in patients undergoing curative resection for CRLM.     

Predictors of mortality in adult trauma patients: the physiologic trauma score is equivalent to the Trauma and Injury Severity Score

Background:

Several statistical models (Trauma and Injury Severity Score [TRISS], New Injury Severity Score [NISS], and the International Classification of Disease, Ninth Revision-based Injury Severity Score [ICISS]) have been developed over the recent decades in an attempt to accurately predict outcomes in trauma patients. The anatomic portion of these models makes them difficult to use when performing a rapid initial trauma assessment. We sought to determine if a Physiologic Trauma Score, using the systemic inflammatory response syndrome (SIRS) score in combination with other commonly used indices, could accurately predict mortality in trauma.

Study Design:

Prospective data were analyzed in 9,539 trauma patients evaluated at a Level I Trauma Center over a 30-month period (January 1997 to July 1999). A SIRS score (1 to 4) was calculated on admission (1 point for each: temperature >38°C or <36°C, heart rate >90 beats per minute, respiratory rate >20 breaths per minute, neutrophil count > 12,000 or < 4,000. SIRS score, Injury Severity Score (ISS), Revised Trauma Score (RTS), TRISS, Glasgow Coma Score, age, gender, and race were used in logistic regression models to predict trauma patients’ risk of death. The area under the receiver-operating characteristic curves of sensitivity versus 1-specificity was used to assess the predictive ability of the models.

Results:

The study cohort of 9,539 trauma patients (of which 7,602 patients had complete data for trauma score calculations) had a mean ISS of 9 ± 9 (SD) and mean age of 37 ± 17 years. SIRS (SIRS score ≥ 2) was present in 2,165 of 7,602 patients (28.5%). In single-variable models, TRISS and ISS were most predictive of outcomes. A multiple-variable model, Physiologic Trauma Score combining SIRS score with Glasgow Coma Score and age (Hosmer-Lemenshow CHI-SQUARE = 4.74) was similar to TRISS and superior to ISS in predicting mortality. The addition of ISS to this model did not significantly improve its predictive ability.

Conclusions:

A new statistical model (Physiologic Trauma Score), including only physiologic variables (admission SIRS score combined with Glasgow Coma Score and age) and easily calculated at the patient bedside, accurately predicts mortality in trauma patients. The predictive ability of this model is comparable to other complex models that use both anatomic and physiologic data (TRISS, ISS, and ICISS).     

The relationship of Injury Severity Score and Glasgow Coma Score to rehabilitative potential in patients suffering traumatic brain injury

The predictive utility of the Injury Severity Score (ISS) and Glasgow Coma Score (GCS) in relation to rehabilitative potential and functional outcome in traumatic brain injury (TBI) is untested. The purpose of this study was to define the relationship of ISS and GCS to rehabilitative potential using the functional independence measure (FIM) score. Trauma and inpatient rehabilitation (IR) registries were queried for demographic, disposition, and injury scoring data. FIM scores at admission (A) and discharge (D) were assessed including IR FIM gain (G). Analysis of variance was used to examine the relationship of ISS and GCS to FIM with predictive utility investigated through bivariate analysis. Of 5488 patients admitted to a Level I trauma center (1999-2000) 1437 suffered TBI with 285 (20%) entering IR. Compared with low-ISS patients the high-ISS patients had significantly lower FIM-A and FIM-D, but FIM-G was static. GCS results were similar, excluding FIM-G which was significantly higher for GCS < or = 8 compared with GCS > 8. Bivariate analysis revealed no ISS correlation with FIM-G (r = 0.16) and a weak GCS correlation (FIM-G r = -0.15). As prospective predictive measures ISS and GCS correlate weakly with rehabilitative potential in TBI patients. Severely injured patients including those with severe TBI have a rehabilitative gain toward functional independence that is similar to that of when compared with those less severely injured.     

Trauma outcome analysis of a Jakarta University Hospital using the TRISS method: validation and limitation in comparison with the major trauma outcome study. Trauma and Injury Severity Score

BACKGROUND: In this prospective study, the TRISS methodology is used to compare trauma care at a University Hospital in Jakarta, Indonesia, with the standards reported in the Major Trauma Outcome Study (MTOS). METHODS: Between February 24, 1999, and July 1, 1999, all consecutive patients with multiple and severe trauma were included in the study (n = 105). Survival analysis was completed for 97 (92%) patients. RESULTS: The majority of patients were men (81%), and the average age was 28 years. Ninety-five patients (98%) sustained blunt trauma, with motor vehicle crashes being the most common (68%). The predicted mortality was 14% and the observed mortality was 29%. The Z and M statistics were 7.87 and 0.843, respectively. CONCLUSION: We conclude that in developing countries both institution-bound factors and specific limitations in the TRISS methodology are responsible for the difference between predicted and observed mortality, indicating the need for a regional database.     

The Incidence and Risks of Failure to Heal After Lower Extremity Amputation for the Treatment of Diabetic Neuropathic Foot Ulcer

The primary goal of this retrospective cohort study was to determine the incidence of failure to heal after lower extremity amputation for the treatment of diabetic neuropathic foot ulcer, and the secondary goal was to identify risk factors associated with the outcome. We evaluated 1775 patients who underwent amputation for the treatment of 5314 neuropathic foot ulcers, and who were treated in a network of wound care centers. We calculated the incidence of failure to heal after the initial amputation, and used generalized estimation equations and generalized linear latent and mixed model regression to evaluate the association of failure to heal by the 20th week of care. The unadjusted incidence of failure to heal was 34.01%, and male sex, number of wounds, wound grade, and adjunct therapy were all significantly associated with failure to heal. With the exception of wound grade, the associations were not significantly affected by the treating wound care center, and a sensitivity analysis showed the results to be resistant to the theoretical influence of an unmeasured potential confounder. These findings should be useful to clinicians treating diabetic neuropathic foot ulcers, and should aid surgeons in the determination of the most appropriate level for lower extremity amputation.     

External validation of International Classification of Injury Severity Score to predict mortality in a Greek adult trauma population

IntroductionThe International Classification of diseases- based Injury Severity Score (ICISS) obtained by empirically derived diagnosis-specific survival probabilities (DSPs) is the best-known risk-adjustment measure to predict mortality. Recently, a new set of pooled DSPs has been proposed by the International Collaborative Effort on Injury Statistics but it remains to be externally validated in other cohorts. The aim of this study was to externally validate the ICISS using international DSPs and compare its prognostic performance with local DSPs derived from Greek adult trauma population.Materials and methodsThis retrospective single-center cohort study enrolled adult trauma patients (≥ 16 years) hospitalized between January 2015 and December 2019 and temporally divided into derivation (n = 21,614) and validation cohorts (n = 14,889). Two different ICISS values were calculated for each patient using two different sets of DSPs: international (ICISSint) and local (ICISSgr). The primary outcome was in-hospital mortality. Models’ prediction was performed using discrimination and calibration statistics.ResultsICISSint displayed good discrimination in derivation (AUC = 0.836 CI 95% 0.819–0.852) and validation cohort (AUC = 0.817 CI 95% 0.797–0.836). Calibration using visual analysis showed accurate prediction at patients with low mortality risk, especially below 30%. ICISSgr yielded better discrimination (AUC = 0.834 CI 95% 0.814–0.854 vs 0.817 CI 95% 0.797–0.836, p ? .05) and marginally improved overall accuracy (Brier score = 0.0216 vs 0.0223) compared with the ICISSint in the validation cohort. Incorporation of age and sex in both models enhanced further their performance as reflected by superior discrimination (p ? .05) and closer calibration curve to the identity line in the validation cohort.ConclusionThis study supports the use of international DSPs for the ICISS to predict mortality in contemporary trauma patients and provides evidence regarding the potential benefit of applying local DSPs. Further research is warranted to confirm our findings and recommend the widespread use of ICISS as a valid measure that is easily obtained from administrative data based on ICD-10 codes.     

The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma

World Journal of Surgery - Early identification of patients who may need massive blood transfusion remains a major challenge in trauma care. This study proposed a novel and easy-to-calculate...     

The Significance of the Rapid Turnover Protein Score as a Predictor of the Long-Term Outcomes in Hepatocellular Carcinoma After Hepatic Resection

Annals of Surgical Oncology - Nutritional status assessment is essential in cancer patients because a poor nutritional status has been associated with poor outcomes; however, the impact of rapid...     

Lymph Node Ratio of the Central Compartment is a Significant Predictor for Locoregional Recurrence After Prophylactic Central Neck Dissection in Patients with Thyroid Papillary Carcinoma

Background

Lymph node ratio (LNR) is an important prognosis factor in many solid cancers, but there have been few reports of LNR in papillary thyroid carcinoma (PTC). This study investigated LNR of the central compartment to determine whether LNR has clinical significance as a prognostic predictor for recurrence after prophylactic central neck dissection (pCND) in patients with PTC.

Methods

The study includes 295 consecutive patients who underwent total thyroidectomy with bilateral pCND, which was pathologically diagnosed as N1a PTC. LNR was calculated as the ratio of positive LN to total LN removed.

Results

LNR of 0.65 was significantly meaningful for recurrence when three or more LNs were collected (P < 0.001). The 10-year estimated recurrence-free survival rates were 98.6 % for patients with LNR ≤0.65 and 75.4 % for patients with LNR >0.65 (P < 0.001). Univariate analysis revealed that increasing tumor size and LNR >0.65 were significantly associated with recurrence (P < 0.05 each). No significant association with recurrence was found for age ≥45 years, male gender, microscopic extrathyroidal extension, coexistent chronic lymphocytic thyroiditis, T classification, multicentricity, number of positive LN, and extranodal extension (P > 0.05 each). The only independent variable for recurrence identified by multivariate analysis was LNR >0.65 (P < 0.001).

Conclusions

LNR may be a useful predictor to stratify the likelihood of recurrence after pCND in patients with pathologic N1a PTC.