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Background: Although several risk indices have been developed to aid in the diagnosis of NSTIs, these instruments suffer from varying levels of reproducibility and failure to incorporate key clinical variables in model development. The objective of this study was to derive and validate a clinical risk index score - NECROSIS - for identifying NSTIs in emergency general surgery (EGS) patients being evaluated for severe skin and soft tissue infections., Methods: We performed a prospective study across 16 sites in the US of adult EGS patients with suspected NSTIs over a 30-month period. Variables analyzed included demographics, admission vitals and labs, physical exam, radiographic, and operative findings. The main outcome measure was the presence of NSTI diagnosed clinically at the time of surgery. Multivariate analysis was performed to identify independent predictors for the presence of NSTI using the Hosmer-Lemeshow test and the Akaike information criteria., Results: Of 362 patients, 297 (82%) were diagnosed with a NSTI. Overall mortality was 12.3%. Multivariate analysis identified 3 independent predictors for NSTI: systolic blood pressure ≤ 120 mmHg, violaceous skin, and WBC ≥15 (x103/uL). Multivariate modelling demonstrated Hosmer-Lemeshow goodness of fit (p = 0.9) with a c-statistic for the prediction curve of 0.75. Test characteristics of the NECROSIS score were similar between the derivation and validation cohorts., Conclusion: NECROSIS is a simple and potentially useful clinical index score for identifying at-risk EGS patients with NSTIs. Future validation studies are warranted., Level of Evidence: Diagnostic Tests or Criteria, Level III., Competing Interests: Conflict of Interest: The authors have no conflicts of interest to declare. All JTACS disclosure forms have been supplied and are provided as supplemental digital content (http://links.lww.com/TA/D818)., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Despite the widespread institution of modern massive transfusion protocols with balanced blood product ratios, survival for patients with traumatic hemorrhage receiving ultramassive transfusion (UMT) (defined as ≥20 U of packed red blood cells [RBCs]) in 24 hours) remains low and resource consumption remains high. Therefore, we aimed to identify factors associated with mortality in trauma patients receiving UMT in the modern resuscitation era., Methods: An Eastern Association for the Surgery of Trauma multicenter retrospective study of 461 trauma patients from 17 trauma centers who received ≥20 U of RBCs in 24 hours was performed (2014-2019). Multivariable logistic regression and Classification and Regression Tree analysis were used to identify clinical characteristics associated with mortality., Results: The 461 patients were young (median age, 35 years), male (82%), severely injured (median Injury Severity Score, 33), in shock (median shock index, 1.2; base excess, -9), and transfused a median of 29 U of RBCs, 22 U of fresh frozen plasma (FFP), and 24 U of platelets (PLT). Mortality was 46% at 24 hours and 65% at discharge. Transfusion of RBC/FFP ≥1.5:1 or RBC/PLT ≥1.5:1 was significantly associated with mortality, most pronounced for the 18% of patients who received both RBC/PLT and RBC/FFP ≥1.5:1 (odds ratios, 3.11 and 2.81 for mortality at 24 hours and discharge; both p < 0.01). Classification and Regression Tree identified that age older than 50 years, low initial Glasgow Coma Scale, thrombocytopenia, and resuscitative thoracotomy were associated with low likelihood of survival (14-26%), while absence of these factors was associated with the highest survival (71%)., Conclusion: Despite modern massive transfusion protocols, one half of trauma patients receiving UMT are transfused with either RBC/FFP or RBC/PLT in unbalanced ratios ≥1.5:1, with increased associated mortality. Maintaining focus on balanced ratios during UMT is critical, and consideration of advanced age, poor initial mental status, thrombocytopenia, and resuscitative thoracotomy can aid in prognostication., Level of Evidence: Prognostic, level III., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: This study determined the validity of self-reported data on selected health insurance characteristics., Methods: We obtained telephone survey data on the presence of health insurance, source of insurance, length of time insured, and type of insurance (managed care or fee-for-service) from a random sample of 351 adults in 3 Wisconsin counties and compared findings with data from respondents' health insurers., Results: More than 97% of the respondents correctly reported that they were currently insured. For source of insurance among persons aged 18 to 64 years, sensitivity was high for those covered through private health insurance (93.8%) but low for those covered through public insurance (6.7%). Only 33.1% of the respondents accurately categorized length of enrollment in their current plan. Overall estimates for managed care enrollment were similar for the 2 sources, but individual validity was low: 84.2% of those in fee-for-service believed that they were in managed care., Conclusions: Information obtained from the general population about whether they have health insurance is valid, but self-reported data on source of insurance, length of time insured, and type of insurance are suspect and should be used cautiously.