The purpose of this study was to assess the concordance in categorization and radiologic T staging using Liver Imaging Reporting and Data System (LI-RADS, LR) version 2017 (v2017), version 2018 (v2018), and the Organ Procurement and Transplantation Network (OPTN) criteria. All magnetic resonance imaging and computed tomography reports using a standardized LI-RADS macro between April 2015 and March 2018 were identified retrospectively. The major features (size, arterial phase hyperenhancement, washout, enhancing capsule, or threshold growth) were extracted from the report for each LR-3, LR-4, and LR-5 observation. Each observation was assigned a new category based on LI-RADS v2017, v2018, and OPTN criteria. Radiologic T stage was calculated based on the size and number of LR-5 or OPTN class 5 observations. Categories and T stages assigned by each system were compared descriptively. There were 398 patients (66.6% male; mean age, 63.4 years) with 641 observations (median size, 14 mm) who were included. A total of 73/182 (40.1%) observations categorized LR-4 by LI-RADS v2017 were up-categorized to LR-5 by LI-RADS v2018 due to changes in the LR-5 criteria, and 4/196 (2.0%) observations categorized as LR-5 by LI-RADS v2017 were down-categorized to LR-4 by LI-RADS v2018 due to changes in the threshold growth definition. The T stage was higher by LI-RADS v2018 than LI-RADS v2017 in 49/398 (12.3%) patients. Compared with the OPTN stage, 12/398 (3.0%) patients were upstaged by LI-RADS v2017 and 60/398 (15.1%) by LI-RADS v2018. Of 101 patients, 5 (5.0%) patients with T2 stage based on LI-RADS v2017 and 10/102 (9.8%) patients with T2 stage based on LI-RADS v2018 did not meet the T2 criteria based on the OPTN criteria. Of the 98 patients with a T2 stage based on OPTN criteria, 2 (2.0%) had a T stage ≥3 based on LI-RADS v2017 and 6 (6.1%) had a T stage ≥3 based on LI-RADS v2018.

School facility conditions, environment, and perceptions of safety and learning have been investigated for their impact on child development. However, it is important to consider how the environment separately influences academic performance and attendance after controlling for school and community factors. Using results from the Maryland School Assessment, we considered outcomes of school-level proficiency in reading and math plus attendance and chronic absences, defined as missing 20 or more days, for grades 3–5 and 6–8 at 158 urban schools. Characteristics of the environment included school facility conditions, density of nearby roads, and an index industrial air pollution. Perceptions of school safety, learning, and institutional environment were acquired from a School Climate Survey. Also considered were neighborhood factors at the community statistical area, including demographics, crime, and poverty based on school location. Poisson regression adjusted for over-dispersion was used to model academic achievement and multiple linear models were used for attendance. Each 10-unit change in facility condition index, denoting worse quality buildings, was associated with a decrease in reading (1.0% (95% CI: 0.1–1.9%) and math scores (0.21% (95% CI: 0.20-0.40), while chronic absences increased by 0.75% (95% CI: 0.30–1.39). Each log increase the EPA's Risk Screening Environmental Indicator (RSEI) value for industrial hazards, resulted in a marginally significant trend of increasing absenteeism (p < 0.06), but no association was observed with academic achievement. All results were robust to school-level measures of racial composition, free and reduced meals eligibility, and community poverty and crime. These findings provide empirical evidence for the importance of the community and school environment, including building conditions and neighborhood toxic substance risk, on academic achievement and attendance.

Objectives To design a method that uses preliminary hazard mapping data to optimize the number and location of sensors within a network for a long-term assessment of occupational concentrations, while preserving temporal variability, accuracy, and precision of predicted hazards. Methods Particle number concentrations (PNCs) and respirable mass concentrations (RMCs) were measured with direct-reading instruments in a large heavy-vehicle manufacturing facility at 80-82 locations during 7 mapping events, stratified by day and season. Using kriged hazard mapping, a statistical approach identified optimal orders for removing locations to capture temporal variability and high prediction precision of PNC and RMC concentrations. We compared optimal-removal, random-removal, and least-optimal-removal orders to bound prediction performance. Results The temporal variability of PNC was found to be higher than RMC with low correlation between the two particulate metrics (ρ = 0.30). Optimal-removal orders resulted in more accurate PNC kriged estimates (root mean square error [RMSE] = 49.2) at sample locations compared with random-removal order (RMSE = 55.7). For estimates at locations having concentrations in the upper 10th percentile, the optimal-removal order preserved average estimated concentrations better than random- or least-optimal-removal orders (P < 0.01). However, estimated average concentrations using an optimal-removal were not statistically different than random-removal when averaged over the entire facility. No statistical difference was observed for optimal- and random-removal methods for RMCs that were less variable in time and space than PNCs. Conclusions Optimized removal performed better than random-removal in preserving high temporal variability and accuracy of hazard map for PNC, but not for the more spatially homogeneous RMC. These results can be used to reduce the number of locations used in a network of static sensors for long-term monitoring of hazards in the workplace, without sacrificing prediction performance.

Strongyloidiasis is an emerging parasitic infection with intriguing epidemiology, presentation, and clinical management. We report a case of hyperinfection syndrome complicated by E. coli bacteremia and meningitis with one of the isolates showing a unique resistance pattern recently being recognized. This report describes the aspect of invasive bacterial infections in strongyloidiasis and highlights the unique susceptibility pattern of the E. coli isolate and the extreme caution required during the antibiotic therapy.

BACKGROUND Occurrence, severity and geographic extent of droughts are anticipated to increase under climate change, but the health consequences of drought conditions are unknown. We estimate risks of cardiovascular and respiratory-related hospitalization and mortality associated with drought conditions for the western U.S. elderly population. METHODS For counties in the western U.S. (N=618) and for the period 2000 to 2013, we use data from the U.S. Drought Monitor to identify: 1) full drought periods; 2) non-drought periods; and 3) worsening drought periods stratified by low- and high-severity. We use Medicare claims to calculate daily rates of cardiovascular admissions, respiratory admissions, and deaths among adults 65 years or older. Using a two-stage hierarchical model, we estimated the percentage change in health risks when comparing drought to non-drought period days controlling for daily weather and seasonal trends. FINDINGS On average there were 2·1 million days and 0·6 million days classified as non-drought periods and drought periods, respectively. Compared to non-drought periods, respiratory admissions significantly decreased by -1·99% (95% posterior interval (PI): -3·56, -0·38) during the full drought period, but not during worsening drought conditions. Mortality risk significantly increased by 1·55% (95% PI: 0·17, 2·95) during the high-severity worsening drought period, but not the full drought period. Cardiovascular admissions did not differ significantly during either drought or worsening drought periods. In counties where drought occurred less frequently, we found risks for cardiovascular disease and mortality to increase during worsening drought conditions. INTERPRETATIONS Drought conditions increased risk of mortality during high-severity worsening drought, but decreased the risk of respiratory admissions during full drought periods among older adults. Counties that experience fewer drought events show larger risk for mortality and cardiovascular disease. This research describes an understudied environmental association with global health significance.

Few studies have explored the relationship between coarse particles (PM10-2.5) and adverse birth outcomes. We examined associations between gestational exposure of PM10-2.5 and birth weight. U.S. birth certificates data (1999-2007) were acquired for 8,017,865 births. Gestational and trimester exposures of PM10-2.5 were estimated using co-located PM10 and PM2.5 monitors ≤35km from the population-weighted centroid of mothers' residential counties. A linear regression model was applied, adjusted by potential confounders. As sensitivity analyses, we explored alternative PM10-2.5 estimations, adjustment for PM2.5, and stratification by regions. Gestational exposure to PM10-2.5 was associated with 6.6g (95% Confidence Interval: 5.9, 7.2) lower birth weight per interquartile range increase (7.8μg/m(3)) in PM10-2.5 exposures. All three trimesters showed associations. Under different exposure methods for PM10-2.5, associations remained consistent but with different magnitudes. Results were robust after adjusting for PM2.5, and regional analyses showed associations in all four regions with larger estimates in the South. Our results suggest that PM10-2.5 is associated with birth weight in addition to PM2.5. Regional heterogeneity may reflect differences in population, measurement error, region-specific emission pattern, or different chemical composition within PM10-2.5. Most countries do not set health-based standards for PM10-2.5, but our findings indicate potentially important health effects of PM10-2.5.

<h3>Importance</h3>Optimization of surgical outcomes after colectomy continues to be actively studied, but most studies group right-sided and left-sided colectomies together.<h3>Objective</h3>To determine whether the complication rate differs between right-sided and left-sided colectomies for cancer. As a secondary analysis, we investigated hospital length of stay.<h3>Design</h3>We identified patients who underwent colectomy for colon cancer in the 2005-2008 American College of Surgeons National Surgical Quality Improvement Program database and stratified cases by right and left side. Preoperative, intraoperative, and postoperative factors were compared. Multivariable techniques were used to assess the impact of the side of colectomy on operative outcome measures, adjusting for covariates.<h3>Setting</h3>Hospitals within the American College of Surgeons National Surgical Quality Improvement Program database.<h3>Patients</h3>We identified 4875 patients who underwent elective laparoscopic or open colectomy for right-sided or left-sided colon cancer in the database.<h3>Main Outcomes and Measures</h3>Major complications and surgical site infection (SSI) rates.<h3>Results</h3>In the 4875 colectomies studied, a laparoscopic approach was used in 42% of cases and at similar frequency in right-sided and left-sided colectomies. Thirty-day mortality (1.5%) was similar in both groups. Major complications were seen in 17% of patients in each group. Superficial SSI was more likely to occur in patients who underwent left-sided colectomy (8.2% vs 5.9%). Among patients with postoperative sepsis or deep or organ space SSIs, more patients in the left-sided colectomy group underwent reoperation compared with the right-sided colectomy group (56% vs 30%). Laparoscopic right-sided colectomy patients were more likely to have a prolonged hospital length of stay than laparoscopic left-sided colectomy patients (odds ratio, 1.39; 95% CI, 1.09-1.78).<h3>Conclusions and Relevance</h3>The outcomes after colectomy for cancer are comparable in right-sided and left-sided resections, except for in the case of superficial SSI, which is less common in right-sided resections. Further research on SSI after colectomy should incorporate right vs left side as a potential preoperative risk factor.

Objectives: Surgical resection is standard treatment for early-stage non-small cell lung cancer; however, perception of postoperative risk may influence the decision to proceed for elderly patients. With population data, we analyzed postoperative complications and morbidity predictors for older patients undergoing lobectomy for stage I non-small cell lung cancer. Methods: The Surveillance Epidemiology and End-Results-Medicare linked database (2000-2005) identified patients (ages 66-80 years) undergoing lobectomy for stage I non-small cell lung cancer. We comprehensively evaluated in-hospital postoperative complications (pulmonary, cardiac, infectious, noncardiopulmonary) with International Classification of Diseases, Ninth Revision, diagnosis codes. Logistic regression models were constructed to identify patient, tumor, and treatment characteristics associated with complications. Results: In all, 4171 patients were included, 2329 of whom had 4097 in-hospital postoperative complications (55.8%). Pulmonary complications were most common (n = 1598; 38.3%) followed by cardiac (n = 1020; 24.5%). Complications were significantly associated with age at least 75 years, male sex, higher comorbidity index, larger tumors, and treatment at nonteaching hospitals (P < .05). Patients with complications had a longer median stay (8 days) than patients without (6 days; P < .001). The 30-day mortality was 4.2%. Conclusions: Population-based analysis demonstrated that perioperative complications after lobectomy for stage I non-small cell lung cancer in older patients exceeded 50% and were associated with specific patient, tumor, and treatment characteristics. Better understanding of the impact of these risk factors may facilitate surgical decision making and encourage implementation of more effective perioperative care guidelines for older surgical patients. Copyright © 2012 by The American Association for Thoracic Surgery.

BACKGROUND Previous literature has consistently shown worse operative outcomes at low-volume hospitals (LVH) after complex cancer surgery. Whether patient-related factors impact this association remains unknown. We hypothesize that patient-related factors contribute to receipt of complex cancer surgery at LVH. STUDY DESIGN Using the 2003–2008 National Inpatient Sample, we identified 59,841 patients who underwent cancer operations for lung, esophagus, and pancreas tumors. Logistic regression models were used to examine the impact of sociodemographic factors on receipt of complex cancer surgery at LVH. RESULTS Overall, 38.4% received their cancer surgery at LVH. A higher proportion of esophagectomies were performed at LVH (70.3%), followed by pancreatectomy (38.2%) and lung resection (33.8%). Patients who were non-white, with non-private insurance, and had more comorbidities were all more likely to receive their cancer surgery at LVH (for all, p < 0.05). Multivariate analyses continued to demonstrate that non–white race, insurance status, increased comorbidities, region, and nonelective admission predicted receipt of cancer surgery at LVH across all 3 procedures. CONCLUSIONS In this large national study, non-white race and increased comorbidities contributed to receipt of cancer surgery at LVH. Patient selection and access to high-volume hospitals are likely reasons worthy of additional investigation. This study provides additional insight into the volume–outcomes relationship. Given the demonstrated outcomes disparity between high-volume hospitals and LVH, future policy and research should encourage mechanisms for referral of patients with cancer to high-volume hospitals for their surgical care.

BACKGROUND The adverse effects of blood transfusion after cancer surgery have been recently challenged in older anemic persons or those with substantial intraoperative blood loss. We hypothesized that intraoperative blood transfusions continue to adversely impact short-term cancer surgery outcomes regardless of age or preoperative hematocrit levels. METHODS Using the 2005 to 2008 American College of Surgeons National Surgical Quality Improvement Program, we identified 38,926 patients who underwent cancer surgery. Pre-, intra-, and postoperative factors were compared by units of blood transfusion a patient received. Stratified multivariable analyses, by age and hematocrit level, were performed to assess the impact of blood transfusion on operative outcomes, adjusting for covariates. RESULTS Fourteen percent of patients received an intraoperative blood transfusion. Of those, >60% received only 1 to 2 units of blood. Receipt of intraoperative blood transfusion was associated with higher rates of 30-day operative mortality, major complications, total number of complications, and prolonged length of stay across age groups and in persons with low to normal hematocrit levels. CONCLUSION The present study shows that intraoperative blood transfusion adversely impacts short-term operative cancer surgery outcomes across all age groups and in those with low to normal hematocrit levels. These findings provide insightful implications on the patterns of blood transfusion during cancer surgery that deserve further investigation.

BACKGROUND Inadequate access has contributed to widespread racial disparities in cancer care in the United States. However, the outcomes for racial minorities at quality-seeking hospitals, such as those participating in the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP), remain unknown. We hypothesized that operative outcomes for racial and ethnic minority patients after cancer surgery at ACS NSQIP hospitals are comparable with those for white patients. STUDY DESIGN Using the 2005−2008 ACS NSQIP data, we identified 38,926 patients who underwent thoracic, abdominal, or pelvic cancer surgery. We used multivariate logistic regression to examine the association between race and ethnicity and short-term (30-day) operative outcomes after cancer surgery. Sensitivity analyses were performed to ensure the relationship remained consistent after stratification by procedure. RESULTS Nonwhite patients constituted 16.9% of patients treated for cancer surgery in ACS NSQIP hospitals. Although nonwhite patients were more likely to have higher levels of comorbidities and undergo more complex resections (p < 0.05 for all), multivariate analyses demonstrated that these patients were as likely as white patients to have adverse short-term operative outcomes develop after cancer surgery. These results persisted after stratification by extent of surgical procedure. However, black, Hispanic, and American-Indian/Alaskan-Native patients were more likely to experience prolonged length of stay (odds ratio for black vs white patients = 1.33; p < 0.001). CONCLUSIONS Racial and ethnic minority patients who undergo their cancer surgery at ACS NSQIP hospitals have short-term operative outcomes similar to white patients, but they remain hospitalized longer. These findings suggest that access to quality-driven hospitals might ameliorate racial disparities in cancer care and outcomes. Future policies should focus on expanding access to quality-driven surgical facilities as a step toward timely and optimal cancer care.

OBJECTIVE Surgical morbidity may influence long-term cancer survival. Because resection of early stage nonsmall cell lung cancer (NSCLC) is primary therapy, we sought to determine the survival impact of surgical complications for elderly patients undergoing resection of stage I NSCLC. METHODS Using the linked Surveillance Epidemiology and End Results-Medicare database (2000-2005), we identified elderly patients who underwent lobectomy for stage I NSCLC. We then assessed the unadjusted association between in-hospital, postoperative complications, and long-term survival for patients who survived more than 30 days after resection using the Kaplan-Meier method. Finally, we used Cox proportional hazards regression to evaluate the relationship between postoperative complications and 5-year cancer-specific (CSS) and overall survival (OS) after adjusting for patient, tumor, and treatment characteristics. RESULTS We identified 3996 eligible patients. The overall in-hospital, postoperative complication rate was 54.2%. Pulmonary complications were the most common (n = 1464) followed by cardiac (n = 916). Unadjusted 5-year CSS was significantly worse for those who had an in-hospital, postoperative complication (70.9%) compared to those who did not (78.9%, P < 0.001). OS was also significantly worse (P < 0.001) for patients who developed a complication. Complications continued to predict worse 5-year CSS and OS after adjusting for patient, tumor, and treatment characteristics (HR: 1.38, 95% CI, 1.17-1.64). CONCLUSIONS The occurrence of in-hospital postoperative complications was an independent predictor of worse 5-year CSS after resection of stage I NSCLC. Importantly, the impact of surgical complications extends well after the initial perioperative period. These findings may help identify important targets for best practice guidelines and quality-of-care measures.