Citations

Abstract Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10−8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery–replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10−8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10−8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.

Abstract The critical nature of the microbiology laboratory in infectious disease diagnosis calls for a close, positive working relationship between the physician/advanced practice provider and the microbiologists who provide enormous value to the healthcare team. This document, developed by experts in laboratory and adult and pediatric clinical medicine, provides information on which tests are valuable and in which contexts, and on tests that add little or no value for diagnostic decisions. This document presents a system-based approach rather than specimen-based approach, and includes bloodstream and cardiovascular system infections, central nervous system infections, ocular infections, soft tissue infections of the head and neck, upper and lower respiratory infections, infections of the gastrointestinal tract, intra-abdominal infections, bone and joint infections, urinary tract infections, genital infections, and other skin and soft tissue infections; or into etiologic agent groups, including arthropod-borne infections, viral syndromes, and blood and tissue parasite infections. Each section contains introductory concepts, a summary of key points, and detailed tables that list suspected agents; the most reliable tests to order; the samples (and volumes) to collect in order of preference; specimen transport devices, procedures, times, and temperatures; and detailed notes on specific issues regarding the test methods, such as when tests are likely to require a specialized laboratory or have prolonged turnaround times. In addition, the pediatric needs of specimen management are also emphasized. There is intentional redundancy among the tables and sections, as many agents and assay choices overlap. The document is intended to serve as a guidance for physicians in choosing tests that will aid them to quickly and accurately diagnose infectious diseases in their patients.

AbstractBackgroundFood is the leading cause of anaphylaxis in children seen in emergency departments in the United States, yet data on emergency department visits and hospitalizations related to food‐induced anaphylaxis are limited. The objective of our study was to examine national time trends of pediatric food‐induced anaphylaxis‐related emergency department visits and hospitalizations.MethodsWe conducted an observational study using a national administrative claims database from 2005 through 2014. Participants were younger than 18 years with an emergency department visit or hospitalization for food‐induced anaphylaxis. Outcome measures of our study included time trends of pediatric food‐induced anaphylaxis‐related emergency department visits and hospitalizations, including observations (in an emergency department or a hospital unit), inpatient admissions, and intensive care unit admissions.ResultsDuring the study period, participants had 7310 food‐induced anaphylaxis‐related emergency department visits. Emergency department visits for food‐induced anaphylaxis increased by 214% (P < .001); the highest rates were in infants and toddlers (age 0‐2 years). Rates of emergency department visits significantly increased in all age‐groups, with the highest increase in adolescents (age 13‐17 years: 413%; P < .001). Peanuts accounted for the highest rates (5.85 per 100 000 in 2014) followed by tree nuts/seeds (4.62 per 100 000 in 2014). The greatest increase in rates of emergency department visits for food‐induced anaphylaxis occurred with tree nuts/seeds (373.0% increase during the study period).ConclusionsThe incidence of food‐induced anaphylaxis has significantly increased over time in children of all ages. Food‐induced anaphylaxis in children is an important national public health concern.

Introduction: Acute pancreatitis (AP) is the most common gastroenterology-related reason for hospital admission, and a major source of morbidity and mortality in the United States. This study examines the National Emergency Database Sample, a large national database, to analyze trends in emergency department (ED) utilization and costs, risk factors for hospital admission, and associated hospital costs and length of stay (LOS) in patients presenting with AP. Methods: The National Emergency Database Sample (2006 to 2012) was evaluated for trends in ED visits, ED charges, hospitalization rates, hospital charges, and hospital LOS in patients with primary diagnosis of AP (further subcategorized by age and etiology). A survey logistic-regression model was used to determine factors predictive of hospitalization. Results: A total of 2,193,830 ED visits were analyzed. There was a nonsignificant 5.5% ( P =0.07) increase in incidence of ED visits for AP per 10,000 US adults from 2006 to 2012, largely driven by significant increases in ED visits for AP in the 18 to <45 age group (+9.2%; P =0.025), AP associated with alcohol (+15.9%; P =0.001), and AP associated with chronic pancreatitis (+59.5%; P =0.002). Visits for patients aged ≥65 decreased over the time period. Rates of admission and LOS decreased during the time period, while ED and inpatient costs increased (62.1%; P <0.001 and 7.9%; P =0.0011, respectively). Multiple factors were associated with increased risk of hospital admission from the ED, with the strongest predictors being morbid alcohol use [odds ratio (OR), 4.53; P <0.0001], advanced age (age>84 OR, 3.52; P <0.0001), and smoking (OR, 1.75; P <0.0001). Conclusions: Despite a relative stabilization in the overall incidence of ED visits for AP, continued increases in ED visits and associated costs appear to be driven by younger patients with alcohol-associated and acute on chronic pancreatitis. While rates of hospitalization and LOS are decreasing, associated inflation-adjusted costs are rising. In addition, identified risk factors for hospitalization, such as obesity, alcohol use, and increased age, should be explored in further study for potential use in predictive models and clinical improvement projects.

Key Points We conducted the first exome-wide association study between germ line variant genotype and survival outcomes after unrelated-donor BMT. A number of novel genes were found to significantly affect survival outcomes.

The PROSTALAC functional spacer is made of antibiotic-loaded acrylic cement but has a small metal-on-polythene articular surface. We have used it as an interim spacer in two-stage exchange arthroplasty for infected total knee replacement. PROSTALAC allows continuous rehabilitation between stages as it maintains good alignment and stability of the knee and a reasonable range of movement. It also helps to maintain the soft-tissue planes, which facilitates the second-stage procedure. We reviewed 45 consecutive patients, treated over a period of nine years. The mean follow-up was for 48 months (20 to 112). At final review, there was no evidence of infection in 41 patients (91%); only one had a recurrent infection with the same organism. There was improvement in the Hospital for Special Surgery knee score between stages and at final review. The range of movement was maintained between stages. Complications were primarily related to the extensor mechanism and stability of the knee between stages. Both of these problems decreased with refinement of the design of the implant. The rate of cure of the infection in our patients was similar to that using other methods. Movement of the knee does not appear to hinder control of infection.

The anterior centre-edge (VCA) angle quantifies the anterior cover of the femoral head, and angles of less than 20° are considered abnormal. We have measured the VCA angles in hips without osteoarthritic changes. We took bilateral false-profile radiographs of nine female and 30 male cadavers without signs of osteoarthritis. The mean age at the time of death was 72 years (46 to 92). The mean VCA angle was 32.8° (17.7 to 53.6). The SD was 7.9°. Our findings suggest that the threshold of abnormality of the VCA angle may be slightly lower than previously thought. This information may be useful in counselling patients with asymptomatic acetabular dysplasia.

Abstract Background: Pembrolizumab (Pembro), an anti-PD-1 immune checkpoint inhibitor, has been approved for the treatment of a variety of cancers including melanoma, non-small cell lung cancer, head and neck squamous cell carcinoma, and urothelial carcinoma. Pembro was recently evaluated in HER2- breast cancer patients in the neoadjuvant I-SPY 2 TRIAL and graduated in the triple negative (TN), HR+HER2-, and HER2- signatures. HER2- patients were randomized to receive Pembro+paclitaxel followed by doxorubicin/cyclophosphamide (P+T -&gt; AC) vs. T -&gt; AC. We and others have shown that TN breast cancers tend to have high numbers of immune infiltrates, including T cells and tumor associated macrophages (TAMs). We evaluated expression signatures representing 14 immune cell types (TILs, T cells, CD8 T cells, exhausted T cells, Th1, Tregs, cytotoxic cells, NK, NK CD56dim, dendritic cells, mast cells, B cells, macrophages, and neutrophils) as specific predictors of response to Pembro. Methods: Data from 248 patients (Pembro: 69; controls: 179) were available. Pre-treatment biopsies were assayed using Agilent gene expression arrays. Signature scores are calculated by averaging cell type specific genes. All I-SPY 2 qualifying biomarker analyses follow a pre-specified analysis plan. We used logistic modeling to assess biomarker performance. A biomarker is considered a specific predictor of Pembro response if it associates with response in the Pembro arm but not the control arm, and if the biomarker x treatment interaction is significant (likelihood ratio test, p&lt;0.05). This analysis is also performed adjusting for HR status as covariates, and within receptor subsets. For successful biomarkers, we use Bayesian modeling to estimate the pCR rates of 'predicted sensitive' patients in each arm. Our statistics are descriptive rather than inferential and do not adjust for multiplicities of other biomarkers outside this study. Results: 10 out of the 14 cell-type signatures tested are associated with response in the Pembro arm. Higher expression levels of 9 of these cell-type signatures are associated with higher pCR rates (T cells, exhausted T cells, Th1, cytotoxic cells, NK, NK CD56dim, dendritic cells, B cells, and macrophages), whereas higher mast cell signature expression is associated with non-pCR. Interestingly, many of these same signatures also associate or trend towards association with response in the control arm; and in a model adjusting for HR status, only 3 of these signatures (Th1, B cells and dendritic cells) show significant interaction with treatment. Within the whole population and the TN subtype, the dendritic cell signature is the strongest predictor of specific response to Pembro (OR/1SD: 4.04 and 4.4, LR p &lt; 0.001 overall and in TN). Although other immune signatures (T cells, exhausted T cells, NK, and macrophages) also associate with response in the Pembro arm in the TN subtype, only the dendritic cell and Th1 signatures have a significant interaction with treatment. In contrast, in the HR+HER2- subtype, only 3 signatures (Th1, B cells, and mast cells) associate with response to Pembro; but none of these signatures have significant interaction with treatment. Of note, in both the Pembro and control arms, HR+HER2- patients with higher average mast cell marker expression have lower pCR rates (OR/1SD: 0.33 and 0.51, LRp: 0.006 and 0.04 in Pembro and control arm). Conclusion: As expected, multiple immune cell expression signatures are predictive of response in the Pembro arm; but only dendritic cells and Th1 cells are specific to Pembro in both the population as a whole and the TN subtype. Interestingly, the presence of mast cells may impede response, especially in HR+HER2- patients. Correlation of these signatures with multiplex-IF immune markers is pending. Citation Format: Campbell M, Yau C, Borowsky A, Vandenberg S, Wolf D, Rimm D, Nanda R, Liu M, Brown-Swigart L, Hirst G, Asare S, van't Veer L, Yee D, DeMichele A, Berry D, Esserman L. Analysis of immune infiltrates (assessed via multiplex fluorescence immunohistochemistry) and immune gene expression signatures as predictors of response to the checkpoint inhibitor pembrolizumab in the neoadjuvant I-SPY 2 trial [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD6-08.