Predicting Mortality Prior to Interhospital Hospital for "Unseen" General Surgery Patients: Development, Validation and Feasibility Trial of a Mortality Risk Calculator.

OBJECTIVE: Develop and validate a mortality risk calculator that could be utilized at the time of transfer, leveraging routinely collected variables that could be obtained by trained non-clinical transfer personnel. SUMMARY BACKGROUND DATA: There are no objective tools to predict mortality at the time of inter-hospital transfer for Emergency General Surgery (EGS) patients that are "unseen" by the accepting system. METHODS: Patients transferred to general or colorectal surgery services from January 2016 through August 2022 were retrospectively identified and randomly divided into training and validation cohorts (3:1 ratio). The primary outcome was admission-related mortality, defined as death during the index admission or within 30 days post-discharge. Multiple predictive models were developed and validated. RESULTS: Among 4,664 transferred patients, 280 (6.0%) experienced mortality. Predictive models were generated utilizing 19 routinely collected variables; the penalized regression model was selected over other models due to excellent performance using only 12 variables. The model performance on the validating set resulted in an area under the receiver operating characteristic curve, sensitivity, specificity, and balanced accuracy of 0.851, 0.90, 0.67, and 0.79, respectively. After bias correction, Brier score was 0.04, indicating a strong association between the assigned risk and the observed frequency of mortality. CONCLUSION: A risk calculator using twelve variables has excellent predictive ability for mortality at the time of interhospital transfer among "unseen" EGS patients. Quantifying a patient's mortality risk at the time of transfer could improve patient triage, bed and resource allocation, and standardize care.

Disparities in Breast Cancer Care-How Factors Related to Prevention, Diagnosis, and Treatment Drive Inequity.

Breast cancer survival has increased significantly over the last few decades due to more effective strategies for prevention and risk modification, advancements in imaging detection, screening, and multimodal treatment algorithms. However, many have observed disparities in benefits derived from such improvements across populations and demographic groups. This review summarizes published works that contextualize modern disparities in breast cancer prevention, diagnosis, and treatment and presents potential strategies for reducing disparities. We conducted searches for studies that directly investigated and/or reported disparities in breast cancer prevention, detection, or treatment. Demographic factors, social determinants of health, and inequitable healthcare delivery may impede the ability of individuals and communities to employ risk-mitigating behaviors and prevention strategies. The disparate access to quality screening and timely diagnosis experienced by various groups poses significant hurdles to optimal care and survival. Finally, barriers to access and inequitable healthcare delivery patterns reinforce inequitable application of standards of care. Cumulatively, these disparities underlie notable differences in the incidence, severity, and survival of breast cancers. Efforts toward mitigation will require collaborative approaches and partnerships between communities, governments, and healthcare organizations, which must be considered equal stakeholders in the fight for equity in breast cancer care and outcomes.

Does selective intraoperative music reduce pain following abdominal wall reconstruction? A double-blind randomized controlled trial.

PURPOSE: Although intraoperative music is purported to mitigate postoperative pain after some procedures, its application has never been explored in abdominal wall reconstruction (AWR). We sought to determine whether intraoperative music would decrease early postoperative pain following AWR. METHODS: We conducted a placebo-controlled, patient-, surgeon-, and assessor-blinded, randomized controlled trial at a single center between June 2022 and July 2023 including 321 adult patients undergoing open AWR with retromuscular mesh. Patients received noise-canceling headphones and were randomized 1:1 to patient-selected music or silence after induction, stratified by preoperative chronic opioid use. All patients received multimodal pain control. The primary outcome was pain (NRS-11) at 24 ± 3 h. The primary outcome was analyzed by linear regression with pre-specified covariates (chronic opioid use, hernia width, operative time, myofascial release, anxiety disorder diagnosis, and preoperative STAI-6 score). RESULTS: 178 patients were randomized to music, 164 of which were analyzed. 177 were randomized to silence, 157 of which were analyzed. At 24 ± 3 h postoperatively, there was no difference in the primary outcome of NRS-11 scores (5.18 ± 2.62 vs 5.27 ± 2.46, p = 0.75). After adjusting for prespecified covariates, the difference of NRS-11 scores at 24 ± 3 h between the music and silence groups remained insignificant (p = 0.83). There was no difference in NRS-11 or STAI-6 scores at 48 ± 3 and 72 ± 3 h, intraoperative sedation, or postoperative narcotic usage. CONCLUSION: For patients undergoing AWR, there was no benefit of intraoperative music over routine multimodal pain control for early postoperative pain reduction. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05374096.