Breast Cancer and Internal Mammary Sentinel Nodes: A Meta-Analysis

Background: The management of internal mammary (IM) nodes in breast cancer lacks a well-defined consensus. Lymphoscintigraphy identifies up to one-third of breast cancer patients with extra-axillary drainage, which is mainly located in the IM chain. Our aim in this meta-analysis is to identify the lymphoscintigraphy technique variables that effect IM node identification. Methods: An internet database was utilized to review articles concerning sentinel nodes and breast cancer from 1993 through the end of 2011; 74 articles met our inclusion criteria. The total number of patients included was 22959. We grouped the citations by injection location and injection material. We then analyzed the rate of identification of IM nodes according to these groupings and their subsets. Results: The overall IM identification rate using the random effect model was 9%. The injection location had the most significant impact on IM identification rate; the deeper injections were associated with the highest rate of identification. Variation in IM identification was associated with the particle size of injection material; the smaller particle size group had a higher rate of identification. Increased dose of the tracer was also associated with increased identification rate. Conclusions: The use of smaller particle size tracers and a deeper injection location achieve the highest IM identification rate. The dose of the tracer also increased the identification rate. These observations can help in the selection of patients for IM sentinel node biopsy, which can affect their prognosis and treatment management

The Emergency Surgery Score accurately predicts the need for postdischarge respiratory and renal support after emergent laparotomies: A prospective EAST multicenter study

The Emergency Surgery Score (ESS) was recently validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively evaluate whether ESS can predict the need for respiratory and/or renal support (RRS) at discharge after emergent laparotomies (EL).This is a post hoc analysis of a 19-center prospective observational study. Between April 2018 and June 2019, all adult patients undergoing EL were enrolled. Preoperative, intraoperative, and postoperative variables were systematically collected. In this analysis, patients were excluded if they died during the index hospitalization, were discharged to hospice, or transferred to other hospitals. A composite variable, the need for RRS, was defined as the need for one or more of the following at hospital discharge: tracheostomy, ventilator dependence, or dialysis. Emergency Surgery Score was calculated for all patients, and the correlation between ESS and RRS was examined using the c-statistics method.From a total of 1,649 patients, 1,347 were included. Median age was 60 years, 49.4% were men, and 70.9% were White. The most common diagnoses were hollow viscus organ perforation (28.1%) and small bowel obstruction (24.5%); 87 patients (6.5%) had a need for RRS (4.7% tracheostomy, 2.7% dialysis, and 1.3% ventilator dependence). Emergency Surgery Score predicted the need for RRS in a stepwise fashion; for example, 0.7%, 26.2%, and 85.7% of patients required RRS at an ESS of 2, 12, and 16, respectively. The c-statistics for the need for RRS, the need for tracheostomy, ventilator dependence, or dialysis at discharge were 0.84, 0.82, 0.79, and 0.88, respectively.Emergency Surgery Score accurately predicts the need for RRS at discharge in EL patients and could be used for preoperative patient counseling and for quality of care benchmarking.Prognostic and epidemiological, level III

Prospective Validation of the Emergency Surgery Score in Emergency General Surgery

BACKGROUND The Emergency Surgery Score (ESS) was recently developed and retrospectively validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively validate ESS, specifically in the high-risk nontrauma emergency laparotomy (EL) patient. METHODS This is an Eastern Association for the Surgery of Trauma multicenter prospective observational study. Between April 2018 and June 2019, 19 centers enrolled all adults (aged \u3e18 years) undergoing EL. Preoperative, intraoperative, and postoperative variables were prospectively and systematically collected. Emergency Surgery Score was calculated for each patient and validated using c-statistic methodology by correlating it with three postoperative outcomes: (1) 30-day mortality, (2) 30-day complications (e.g., respiratory/renal failure, infection), and (3) postoperative intensive care unit (ICU) admission. RESULTS A total of 1,649 patients were included. The mean age was 60.5 years, 50.3% were female, and 71.4% were white. The mean ESS was 6, and the most common indication for EL was hollow viscus perforation. The 30-day mortality and complication rates were 14.8% and 53.3%; 57.0% of patients required ICU admission. Emergency Surgery Score gradually and accurately predicted 30-day mortality; 3.5%, 50.0%, and 85.7% of patients with ESS of 3, 12, and 17 died after surgery, respectively, with a c-statistic of 0.84. Similarly, ESS gradually and accurately predicted complications; 21.0%, 57.1%, and 88.9% of patients with ESS of 1, 6, and 13 developed postoperative complications, with a c-statistic of 0.74. Emergency Surgery Score also accurately predicted which patients required intensive care unit admission (c-statistic, 0.80). CONCLUSION This is the first prospective multicenter study to validate ESS as an accurate predictor of outcome in the EL patient. Emergency Surgery Score can prove useful for (1) perioperative patient and family counseling, (2) triaging patients to the intensive care unit, and (3) benchmarking the quality of emergency general surgery care

The Emergency Surgery Score (ESS) and Outcomes in Elderly Patients Undergoing Emergency Laparotomy: A Post-hoc Analysis of an EAST Multicenter Study

Introduction We sought to evaluate whether the Emergency Surgery Score (ESS) can accurately predict outcomes in elderly patients undergoing emergent laparotomy (EL). Methods This is a post-hoc analysis of an EAST multicenter study. Between April 2018 and June 2019, all adult patients undergoing EL in 19 participating hospitals were prospectively enrolled, and ESS was calculated for each patient. Using the c-statistic, the correlation between ESS and mortality, morbidity, and need for ICU admission was assessed in three patient age cohorts (65–74, 75–84, ≥85 years old). Results 715 patients were included, of which 52% were 65–74, 34% were 75–84, and 14% were ≥85 years old; 51% were female, and 77% were white. ESS strongly correlated with postoperative mortality (c-statistic:0.81). Mortality gradually increased from 0% to 20%–60% at ESS of 2, 10 and 16 points, respectively. ESS predicted mortality, morbidity, and need for ICU best in patients 65–74 years old (c-statistic:0.81, 0.75, 0.83 respectively), but its performance significantly decreased in patients ≥85 years (c-statistic:0.72, 0.64, 0.67 respectively). Conclusion ESS is an accurate predictor of outcome in the elderly EL patient 65–85 years old, but its performance decreases for patients ≥85. Consideration should be given to modify ESS to better predict outcomes in the very elderly patient population

Prospective Validation of the Emergency Surgery Score in Emergency General Surgery

BACKGROUND The Emergency Surgery Score (ESS) was recently developed and retrospectively validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively validate ESS, specifically in the high-risk nontrauma emergency laparotomy (EL) patient. METHODS This is an Eastern Association for the Surgery of Trauma multicenter prospective observational study. Between April 2018 and June 2019, 19 centers enrolled all adults (aged \u3e18 years) undergoing EL. Preoperative, intraoperative, and postoperative variables were prospectively and systematically collected. Emergency Surgery Score was calculated for each patient and validated using c-statistic methodology by correlating it with three postoperative outcomes: (1) 30-day mortality, (2) 30-day complications (e.g., respiratory/renal failure, infection), and (3) postoperative intensive care unit (ICU) admission. RESULTS A total of 1,649 patients were included. The mean age was 60.5 years, 50.3% were female, and 71.4% were white. The mean ESS was 6, and the most common indication for EL was hollow viscus perforation. The 30-day mortality and complication rates were 14.8% and 53.3%; 57.0% of patients required ICU admission. Emergency Surgery Score gradually and accurately predicted 30-day mortality; 3.5%, 50.0%, and 85.7% of patients with ESS of 3, 12, and 17 died after surgery, respectively, with a c-statistic of 0.84. Similarly, ESS gradually and accurately predicted complications; 21.0%, 57.1%, and 88.9% of patients with ESS of 1, 6, and 13 developed postoperative complications, with a c-statistic of 0.74. Emergency Surgery Score also accurately predicted which patients required intensive care unit admission (c-statistic, 0.80). CONCLUSION This is the first prospective multicenter study to validate ESS as an accurate predictor of outcome in the EL patient. Emergency Surgery Score can prove useful for (1) perioperative patient and family counseling, (2) triaging patients to the intensive care unit, and (3) benchmarking the quality of emergency general surgery care

The Emergency Surgery Score (ESS) and Outcomes in Elderly Patients Undergoing Emergency Laparotomy: A Post-hoc Analysis of an EAST Multicenter Study

Introduction We sought to evaluate whether the Emergency Surgery Score (ESS) can accurately predict outcomes in elderly patients undergoing emergent laparotomy (EL). Methods This is a post-hoc analysis of an EAST multicenter study. Between April 2018 and June 2019, all adult patients undergoing EL in 19 participating hospitals were prospectively enrolled, and ESS was calculated for each patient. Using the c-statistic, the correlation between ESS and mortality, morbidity, and need for ICU admission was assessed in three patient age cohorts (65–74, 75–84, ≥85 years old). Results 715 patients were included, of which 52% were 65–74, 34% were 75–84, and 14% were ≥85 years old; 51% were female, and 77% were white. ESS strongly correlated with postoperative mortality (c-statistic:0.81). Mortality gradually increased from 0% to 20%–60% at ESS of 2, 10 and 16 points, respectively. ESS predicted mortality, morbidity, and need for ICU best in patients 65–74 years old (c-statistic:0.81, 0.75, 0.83 respectively), but its performance significantly decreased in patients ≥85 years (c-statistic:0.72, 0.64, 0.67 respectively). Conclusion ESS is an accurate predictor of outcome in the elderly EL patient 65–85 years old, but its performance decreases for patients ≥85. Consideration should be given to modify ESS to better predict outcomes in the very elderly patient population

Unplanned readmission after emergency laparotomy: A post hoc analysis of an EAST multicenter study

Hospital readmission is an important quality-of-care indicator. We sought to examine the rates and predictors of unplanned readmission for the high-risk non-trauma emergency laparotomy patient. This is a post hoc analysis of a multicenter prospective observational study. Between April 2018 and June 2019, a total of 19 centers enrolled all adult patients undergoing emergency laparotomies and systematically collected preoperative, operative, and 30-day postoperative variables. For the purpose of this study, we defined unplanned readmission as a readmission occurring within 30 days from discharge and one that was immediately preceded by an emergency department visit. Patients were excluded if they died during the index admission, were discharged to hospice, or were transferred to other hospitals. Predictors of unplanned readmission were evaluated using a multivariable logistic regression model, adjusting for patient demographics, comorbidities, laboratory variables, and preoperative acuity of disease variables. A total of 1,347 patients were included, of which 234 (17.4%) had an unplanned readmission. The median patient age was 60 y, 49.4% were male, and 71.4% were white. The most common diagnoses were hollow viscus perforation (28.1%) and small bowel obstruction (24.5%). Predictors of unplanned readmission included patient factors (eg, disseminated cancer [odds ratio: 2.22, confidence interval: 1.35-3.64, P = .002], weight loss >10% in the past 6 months [odds ratio: 1.65, confidence interval: 1.07-2.54, P = .023], dyspnea at baseline [odds ratio: 1.62, confidence interval: 1.06-2.48, P = .026], wound complications [odds ratio: 2.23, confidence interval: 1.55-3.19, P < .001], and discharge to nursing homes [odds ratio: 1.68, confidence interval: 1.02-2.80, P = .044]). Unplanned readmission after emergency laparotomies are common, especially for patients with wound complications or requiring nursing homes. These system factors are potential quality improvement targets to reduce readmissions