Trends in Salmonella Infantis human illness incidence and chicken carcass prevalence in the United States; 1996-2019.

The incidence of human illness due to Salmonella Infantis reported to Foodborne Diseases Active Surveillance Network and the prevalence of Infantis on chicken carcasses reported by the United States Department of Agriculture Food Safety and Inspection Service have increased significantly in the past decade. However, the trends do not appear coincident, as would be expected if the increased prevalence in chicken led to the increase in the incidence of human illness. Salmonella Infantis incidence and prevalence trends are analyzed using penalized B-spline methods for generalized additive regression models. The association between the two time series is analyzed using time-lagged rank-order cross-correlation. Geographic variations in reported incidence and trends are also explored. The increase in human incidence of Salmonella Infantis began circa 2011. The increase in chicken carcass prevalence began circa 2015. A 4-year lag on chicken carcass prevalence maximizes the rank-order cross-correlation with the incidence of illness. While chicken consumption undoubtedly contributes to the incidence of human illness due to Salmonella Infantis, the initial increase in reported illness was likely due to one or more other transmission pathways. Other potential transmission pathways include non-chicken foodborne, waterborne, person-to-person, animal contact, and environmental.

A Survey of Vascular Surgery Program Directors: Perspectives following USMLE Step 1 Conversion to Pass/Fail and Virtual Only Interviews.

BACKGROUND: Step 1 of the United States Medical Licensing Examination (USMLE), a historically important factor in the selection of vascular surgery residents and fellows, transitioned to completely pass/fail on January 26, 2022. Due to the COVID-19 pandemic, residency and fellowship interviews were conducted virtually during the 2020-21 and 2021-22 application cycles. Given these significant changes in the evaluation of candidates for residency training, we sought to understand vascular surgery program directors' (PDs) perspectives regarding the change in step 1 scoring and use of virtual interviews as well as determine which factors will assume importance when applying to vascular surgery training programs in the future. METHODS: A 26-item survey questionnaire was created using Qualtrics survey tools with questions regarding attitudes toward the change in step 1 scoring and virtual interviews, the importance of additional factors utilized by programs in selecting candidates for interviews and ranking applicants for residency/fellowship selection, and programmatic demographics. This was distributed anonymously to all vascular surgery training programs over a 2-week period using a comprehensive list of 249 unique email addresses created by cross-referencing the Accreditation Council for Graduate Medical Education list of certified vascular training programs with email addresses from individual program websites identifying current program leadership. Responses were analyzed with descriptive statistics with values listed as average Likert scale weight ± standard deviation (SD) or percentages. RESULTS: Sixty-eight of 249 (27.3%) program and associate PDs responded to the survey. Of which, 33.9% of respondents strongly disagreed with step 1 going completely pass/fail. In the absence of a scored USMLE step 1, letters of recommendation (average Likert scale weight ± SD, 4.43 ± 0.92), dedication to specialty (4.14 ± 1.03), and USMLE step 2 CK (4.06 ± 0.92) had the highest average scores for deciding which applicants to interview for integrated vascular surgery residency. For determining which candidates to interview for vascular surgery fellowship, letters of recommendation (4.51 ± 0.84), dedication to specialty (4.12 ± 0.90), and research (4.10 ± 0.80) had the highest average scores. For ranking residency candidates, the interviewee's perceived "fit" (4.61 ± 0.55), letters of recommendation (4.53 ± 0.76), and an overall interview experience (4.47 ± 0.62) had the highest average scores. Similarly, the factors with the highest average Likert scores for ranking fellowship candidates included the interviewee's perceived "fit" (4.69 ± 0.51), letters of recommendation (4.65 ± 0.52), and an overall interview experience (4.51 ± 0.59). The majority (72.2%) of PDs preferred in-person interviews; however, 50% of respondents were at least "somewhat satisfied" with virtual interviews during the 2021-22 application cycle as they could judge applicants' interview skills at least "moderately well." The minority (18.8%) who preferred virtual interviews most commonly noted a "reduction of the financial burden for applicants" as the reason for this preference. CONCLUSIONS: Most vascular surgery program and associate PDs were dissatisfied with USMLE step 1 going pass/fail with most indicating prescreening applicants using both step 1 and step 2 clinical knowledge (CK) during the residency and fellowship selection processes. In the absence of a scored step 1, the top factors for interviewing and ranking integrated vascular surgery residency and fellowship candidates included letters of recommendation, dedication to specialty, research, USMLE step 2 CK, the interviewee's perceived "fit," and overall interview experience. Though most PDs preferred face-to-face interviews, they were overall at least "somewhat satisfied" with the virtual format that took place during the 2021-22 cycle.

Depression screening in patients with vascular disease.

OBJECTIVES: Major depression is associated with increased morbidity and mortality in vascular surgery patients. The US Preventive Services Task Force and American Heart Association recommend routine depression screening for adults, especially those with cardiovascular disease. Since routine depression screening has not been implemented in most vascular surgery clinics across the nation, we sought to determine the feasibility of depression screening and understand the prevalence and predictors of depression in patients presenting to a single institution's vascular surgery clinic over a 4 month period. METHODS: From June to September 2020, vascular surgery clinic patients were administered a 26-item survey that included validated scales for depression (PHQ-9), pain, frailty, alcohol dependence, and nicotine dependence. Although not validated, the Rosenberg Self-Esteem Scale was also administered. Patient charts were reviewed for demographic information and medical history. 9-digit patient zip codes were used to determine Area Deprivation Index, a measure of socioeconomic status. Univariate and multivariate analyses were performed to understand the factors associated with increased depression prevalence in the study population. RESULTS: A total of 140 (36.4%) of 385 patients met study inclusion criteria. 35.7% of them screened positive for mild to severe depression (PHQ-9 scores ≥5). On univariate analysis, major depression was significantly associated with lower socioeconomic status (p = 0.007), higher frailty (p < 0.001), lower self-esteem (p < 0.001), higher daily pain (p < 0.001), health problems that interfere with social activities (p < 0.001), fatigue (p < 0.001), unmarried status (p = 0.031), and lack of primary care provider (p = 0.048). Multivariate analyses significantly predicted higher frailty (B= 0.487, p = 0.007) and lower self-esteem (B= -0.413, p < 0.001) in patients with depression. Depression was not associated with gender, age, employment status, smoking status, alcohol use, or type of vascular disease. COCLUSIONS: More than one-third of vascular surgery clinic patients have comorbid depression. Higher frailty and lower self-esteem are significant risk factors for depression. Prevention and early identification of frailty may improve outcomes. Depression screening in vascular surgery clinics is feasible and could be useful in determining which patients may benefit from more frequent follow-up and monitoring for associated comorbidities. Vascular surgeons may play an important role in screening for depression and referring patients for psychotherapy and/or pharmacotherapy.

Outcomes after endovascular reintervention for aortic interventions.

OBJECTIVE: Endovascular reinterventions are often performed after previous open or endovascular aortic procedures. We used the GREAT (Global Registry for Endovascular Aortic Treatment) database to compare the outcomes between these groups. We also compared reintervention of any type with a group of patients who had undergone primary endovascular abdominal aortic aneurysm repair (EVAR). METHODS: All patients enrolled in GREAT were grouped according to a previous EVAR or open abdominal aortic procedure (OAP). Univariate analysis was performed using the χ2, Wilcoxon rank sum, and Fisher exact tests. Cox proportional analysis was used to test the predictors for all-cause and aorta-related mortality. RESULTS: A total of 3974 subjects who had undergone EVAR with follow-up data available were included in the GREAT. Of the 3974 procedures, 196 (4.9%) were reinterventions (49 after OAP and 147 after previous EVAR). Reintervention after previous EVAR showed a trend toward a greater endoleak rate through 2 years (13.6% vs 4.1%; P = .07), although no difference was found in the occurrence of the intervention (12.2% vs 17.7%; P = .37). Reintervention after OAP resulted in higher all-cause mortality through 2 years of follow-up (32.7% vs 17.7%; P = .0.03). The predictors of mortality included prior OAP, renal insufficiency, and the use of cutdown for access. Compared with the patients who had undergone primary endovascular repair, patients in the reintervention cohort were older (75.3 years vs 73.3 years; P = .0005), had had only femoral artery access used (95.8% vs 90.3%; P < .0001), and were more likely to have undergone aortic branch vessel procedures (32.3% vs 13.3%; P < .0001). Both all-cause and aorta-related mortality through 2 years was higher in the reintervention group than in the primary EVAR group (21.4% vs 12.5% [P = .0003; and 4.6% vs 1% [P < .0001], respectively). On multivariate analysis, the predictors of aortic-related mortality included reintervention, renal insufficiency, chronic obstructive pulmonary disease, underweight body mass index, increasing aortic diameter, and the use of brachial artery or other arterial access sites. CONCLUSIONS: Endovascular reintervention for aortic pathology was associated with higher mortality than was primary EVAR. Reinterventions after prior OAPs were associated with higher mortality than were prior EVARs.

Temporal changes in the proportion of Salmonella outbreaks associated with 12 food commodity groups in the United States.

Using data from 20 years of Salmonella foodborne outbreaks, this study investigates significant trends in the proportion of outbreaks associated with 12 broad commodity groups. Outbreak counts are demonstrated to have a stronger trend signal than outbreak illness counts. The number of outbreaks with an identified food vehicle increased significantly between 1998 and 2000. This was followed by a 10-year period when the number of outbreaks decreased. The number of outbreaks increased significantly between 2010 and 2014 and then remained unchanged for the remainder of the study period. During the period of 1998 through 2017, the proportion of outbreaks for three commodities groups, consisting of eggs, pork and seeded vegetables, changed significantly. No significant changes were observed in the remaining nine commodity groups. Simple approximations are derived to highlight the effect of dependencies between outbreak proportions and a consumption analysis for meat and poultry is used to enhance the limited interpretability of the changes in these proportions. Given commodity-specific approaches to verifying food safety and promoting pathogen reduction, regulatory agencies benefit from analyses that elucidate illness trends attributable to the products under their jurisdiction. Results from this trend analysis can be used to inform the development and assessment of new pathogen reduction programmes in the United States.

Comparing Characteristics of Sporadic and Outbreak-Associated Foodborne Illnesses, United States, 2004-2011.

Outbreak data have been used to estimate the proportion of illnesses attributable to different foods. Applying outbreak-based attribution estimates to nonoutbreak foodborne illnesses requires an assumption of similar exposure pathways for outbreak and sporadic illnesses. This assumption cannot be tested, but other comparisons can assess its veracity. Our study compares demographic, clinical, temporal, and geographic characteristics of outbreak and sporadic illnesses from Campylobacter, Escherichia coli O157, Listeria, and Salmonella bacteria ascertained by the Foodborne Diseases Active Surveillance Network (FoodNet). Differences among FoodNet sites in outbreak and sporadic illnesses might reflect differences in surveillance practices. For Campylobacter, Listeria, and Escherichia coli O157, outbreak and sporadic illnesses are similar for severity, sex, and age. For Salmonella, outbreak and sporadic illnesses are similar for severity and sex. Nevertheless, the percentage of outbreak illnesses in the youngest age category was lower. Therefore, we do not reject the assumption that outbreak and sporadic illnesses are similar.

Fitting a distribution to censored contamination data using Markov Chain Monte Carlo methods and samples selected with unequal probabilities.

The fitting of statistical distributions to chemical and microbial contamination data is a common application in risk assessment. These distributions are used to make inferences regarding even the most pedestrian of statistics, such as the population mean. The reason for the heavy reliance on a fitted distribution is the presence of left-, right-, and interval-censored observations in the data sets, with censored observations being the result of nondetects in an assay, the use of screening tests, and other practical limitations. Considerable effort has been expended to develop statistical distributions and fitting techniques for a wide variety of applications. Of the various fitting methods, Markov Chain Monte Carlo methods are common. An underlying assumption for many of the proposed Markov Chain Monte Carlo methods is that the data represent independent and identically distributed (iid) observations from an assumed distribution. This condition is satisfied when samples are collected using a simple random sampling design. Unfortunately, samples of food commodities are generally not collected in accordance with a strict probability design. Nevertheless, pseudosystematic sampling efforts (e.g., collection of a sample hourly or weekly) from a single location in the farm-to-table continuum are reasonable approximations of a simple random sample. The assumption that the data represent an iid sample from a single distribution is more difficult to defend if samples are collected at multiple locations in the farm-to-table continuum or risk-based sampling methods are employed to preferentially select samples that are more likely to be contaminated. This paper develops a weighted bootstrap estimation framework that is appropriate for fitting a distribution to microbiological samples that are collected with unequal probabilities of selection. An example based on microbial data, derived by the Most Probable Number technique, demonstrates the method and highlights the magnitude of biases in an estimator that ignores the effects of an unequal probability sample design.

Impact of discrimination and coping on Veterans' willingness to seek treatment for physical and mental health problems.

OBJECTIVE: This study aimed to provide insight into health disparities among Veterans by (a) documenting the prevalence of physical and mental health problems in a racially diverse sample of Veterans, (b) comparing Veterans' willingness to seek treatment for various physical and mental health conditions, and (c) examining the impact of discrimination and coping on willingness to seek treatment. METHOD: Veterans reported on current physical and mental health symptoms and the importance of treatment for various health conditions. Patterns were examined in the full sample (N = 334, 32% female) and the subsample who reported hazardous alcohol use in the past year (n = 116, 33% female). Linear regression was used to test alternative coping as a moderator of the association between experiences with discrimination and willingness to seek treatment among Veterans of color (n = 242, 37% female). RESULTS: Participants reported greater willingness to seek treatment for physical than mental health conditions. Sleep problems (75%) and substance use (74%) were the most prevalent health behaviors, but they were rated lowest in treatment importance. Among Veterans of color, everyday experiences with discrimination were generally associated with less willingness to seek physical or mental health treatment, but often only among those who denied use of coping strategies. CONCLUSIONS: Veterans are least willing to seek treatment for the health conditions that are most prevalent in their communities. Coping strategies may mitigate the negative association between discriminatory experiences and willingness to seek treatment among Veterans of color. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Prevalence and correlates of alcohol-induced blackout in a diverse sample of veterans.

BACKGROUND: Alcohol-induced blackouts have been associated concurrently and prospectively with alcohol-related harm. Although rates of heavy drinking among military samples tend to be comparable or higher than rates among civilian samples, the prevalence and correlates of blackout in the military population are understudied. METHODS: Veterans (N = 241, 29% female, 39% Black) reported on their alcohol consumption and mental health as part of a larger health-related study among veterans. In this secondary analysis, we tested theoretically and empirically informed predictors (gender, drinking quantity, and other drug use) and consequences [depression, posttraumatic stress disorder (PTSD)] of alcohol-induced blackout. Given the diversity of the sample, potential roles of racial/ethnic discrimination and drinking to cope in alcohol-induced blackout were also tested. RESULTS: Past-year prevalence of alcohol-induced blackout was 53% among veterans who drank alcohol and 68% among those who screened positive for hazardous drinking. Everyday experience of racial discrimination was the strongest concurrent predictor of alcohol-induced blackout. Drinking quantity and use of other drugs were significant correlates only in bivariate models. Controlling for gender, race, drinking quantity, other drug use, and discrimination, blackout frequency was significantly associated with symptoms of depression, but not symptoms of PTSD. Both blackout and racial discrimination were associated with drinking to cope. CONCLUSIONS: The prevalence and correlates of alcohol-induced blackout among veterans are largely consistent with those documented in civilian and young adult populations. Among racially diverse groups, racial discrimination may be more strongly associated with mental health symptoms than alcohol consumption or acute alcohol consequences such as blackout.

Outpatient burns: prevention and care.

Most burn injuries can be managed on an outpatient basis by primary care physicians. Prevention efforts can significantly lower the incidence of burns, especially in children. Burns should be managed in the same manner as any other trauma, including a primary and secondary survey. Superficial burns can be treated with topical application of lotions, honey, aloe vera, or antibiotic ointment. Partial-thickness burns should be treated with a topical antimicrobial agent or an absorptive occlusive dressing to help reduce pain, promote healing, and prevent wound desiccation. Topical silver sulfadiazine is the standard treatment; however, newer occlusive dressings can provide faster healing and are often more cost-effective. Physicians must reevaluate patients frequently after a burn injury and be aware of the indications for referral to a burn specialist.

Estimating changes in public health following implementation of hazard analysis and critical control point in the United States broiler slaughter industry.

A common approach to reducing microbial contamination has been the implementation of a Hazard Analysis and Critical Control Point (HACCP) program to prevent or reduce contamination during production. One example is the Pathogen Reduction HACCP program implemented by the U.S. Department of Agriculture's Food Safety and Inspection Service (FSIS). This program consisted of a staged implementation between 1996 and 2000 to reduce microbial contamination on meat and poultry products. Of the commodities regulated by FSIS, one of the largest observed reductions was for Salmonella contamination on broiler chicken carcasses. Nevertheless, how this reduction might have influenced the total number of salmonellosis cases in the United States has not been assessed. This study incorporates information from public health surveillance and surveys of the poultry slaughter industry into a model that estimates the number of broiler-related salmonellosis cases through time. The model estimates that-following the 56% reduction in the proportion of contaminated broiler carcasses observed between 1995 and 2000-approximately 190,000 fewer annual salmonellosis cases (attributed to broilers) occurred in 2000 compared with 1995. The uncertainty bounds for this estimate range from approximately 37,000 to 500,000 illnesses. Estimated illnesses prevented, due to the more modest reduction in contamination of 13% between 2000 and 2007, were not statistically significant. An analysis relating the necessary magnitude of change in contamination required for detection via human surveillance also is provided.

Assessing the effectiveness of performance standards for Salmonella contamination of chicken parts.

The United States Department of Agriculture's Food Safety and Inspection Service implemented Salmonella performance standards for establishments producing chicken parts in 2016. The standards were chosen based on the assumption that a 30 % reduction in the occurrence of Salmonella-contaminated chicken parts samples (i.e., legs, breasts or wings) would result following implementation of the performance standard program. The derivation of the performance standards was based on data collected prior to the implementation of the standards and in the intervening years, so overall changes in the Salmonella contamination of this product can be assessed. This study presents a historical review of changes in Salmonella contamination on chicken parts as these changes relate to the performance standard. The analysis demonstrates that the reduction in Salmonella contaminated chicken parts samples was more than 75 %, so the FSIS risk assessment significantly underestimated the actual reduction in Salmonella contamination. An analysis of chicken parts samples collected at retail demonstrates reductions of a similar magnitude. Changes in the characteristics of Salmonella contamination that are potentially relevant to the occurrence or severity of human illness, such as seasonal changes in contamination, the composition of serotypes and changes in antimicrobial resistance, are also assessed. Small but significant seasonal increases in contamination were observed, with the peaks occurring in late winter rather than the more traditional late summer peak. Rapid changes in both the five most common serotypes and antimicrobial resistance patterns were also observed.

A quantitative risk metric to support individual sanitary measure reviews in international trade.

In order for the United States Department of Agriculture's (USDA) Food Safety and Inspection Service (FSIS) to make an equivalence determination for a foreign meat, poultry or egg products inspection procedure that differs from FSIS inspection procedures (an Individual Sanitary Measure or ISM), a country must demonstrate objectively that its food safety inspection system provides the same level of public health protection as the FSIS inspection system. To evaluate microbiological testing data that such countries may submit to this end, we present a possible risk metric to inform FSIS's assessment of whether products produced under an alternative inspection system in another country pose no greater consumer risk of foodborne illness than products produced under FSIS inspection. This metric requires evaluation of prevalence estimates of pathogen occurrence in products for the foreign country and the U.S. and determining what constitutes an unacceptable deviance of another country's prevalence from the U.S. prevalence, i.e., the margin of equivalence. We define the margin of equivalence as a multiple of the standard error of the U.S. prevalence estimate. Minimizing the margin of equivalence ensures the maximum public health protection for U.S. consumers, but an optimum choice must also avoid undue burden for quantitative data from alternative inspection systems in the foreign country. Across a wide range of U.S. prevalence levels and sample sizes, we determine margin of equivalence values that provide high confidence in conclusions as to whether or not the country's product poses no greater risk of foodborne illness from microbiological pathogens. These margins of equivalence can be used to inform FSIS's equivalence determination for an ISM request from a foreign country. Illustrative examples are used to support this definition of margin of equivalence. This approach is consistent with the World Trade Organization's concept of risk equivalence and is transparent and practical to apply in situations when FSIS makes an equivalence determination for an ISM requested by a foreign country.

Motives for and Barriers to Research Participation Among Racially and Ethnically Diverse Veterans.

INTRODUCTION: Veterans in general-and especially those who identify as Veterans of color-are underrepresented in health-related treatment research. This contributes to health inequity by hindering the development of evidence-based treatment recommendations for people of color. This project utilized culturally centered research procedures to identify health-related research priorities and examine motives for and barriers to research participation in a diverse sample of Veterans. MATERIALS AND METHODS: Veterans (N = 330, 32% female; 36% Black, 28% White, 15% Latinx, 12% Asian, 4% Multiracial) reported their experiences with and perspectives on health-related research online from remote locations. Linear regression was used to test associations between discrimination and motives/barriers for research. All procedures were approved by the Institutional Review Board (#2033562). RESULTS: Participants identified psychological concerns, particularly PTSD, as research priorities for Veterans in their communities, but also prioritized physical problems (e.g., brain injury) and social concerns (e.g., homelessness, access to care). Perceptions of, motives for, and barriers to research were similar across racial/ethnic groups. The most common motive was contributing to research that seems important, and the most common barrier was not knowing about research opportunities. Every-day experiences with discrimination (e.g., people acting as if they are afraid of you because of your race/ethnicity) were associated with more barriers to research among Black participants. CONCLUSIONS: Experiences of racial/ethnic discrimination are associated with different research-related outcomes across racial/ethnic groups. Efforts to engage diverse populations should prioritize access to (not willingness to participate in) health-related research.

Methodology for determining the appropriateness of a linear dose-response function.

Microbial food safety risk assessment models can often at times be simplified by eliminating the need to integrate a complex dose-response relationship across a distribution of exposure doses. This is possible if exposure pathways lead to pathogens at exposure that consistently have a small probability of causing illness. In this situation, the probability of illness will follow an approximately linear function of dose. Consequently, the predicted probability of illness per serving across all exposures is linear with respect to the expected value of dose. The majority of dose-response functions are approximately linear when the dose is low. Nevertheless, what constitutes "low" is dependent on the parameters of the dose-response function for a particular pathogen. In this study, a method is proposed to determine an upper bound of the exposure distribution for which the use of a linear dose-response function is acceptable. If this upper bound is substantially larger than the expected value of exposure doses, then a linear approximation for probability of illness is reasonable. If conditions are appropriate for using the linear dose-response approximation, for example, the expected value for exposure doses is two to three logs(10) smaller than the upper bound of the linear portion of the dose-response function, then predicting the risk-reducing effectiveness of a proposed policy is trivial. Simple examples illustrate how this approximation can be used to inform policy decisions and improve an analyst's understanding of risk.

Framework for microbial food-safety risk assessments amenable to Bayesian modeling.

Regulatory agencies often perform microbial risk assessments to evaluate the change in the number of human illnesses as the result of a new policy that reduces the level of contamination in the food supply. These agencies generally have regulatory authority over the production and retail sectors of the farm-to-table continuum. Any predicted change in contamination that results from new policy that regulates production practices occurs many steps prior to consumption of the product. This study proposes a framework for conducting microbial food-safety risk assessments; this framework can be used to quantitatively assess the annual effects of national regulatory policies. Advantages of the framework are that estimates of human illnesses are consistent with national disease surveillance data (which are usually summarized on an annual basis) and some of the modeling steps that occur between production and consumption can be collapsed or eliminated. The framework leads to probabilistic models that include uncertainty and variability in critical input parameters; these models can be solved using a number of different Bayesian methods. The Bayesian synthesis method performs well for this application and generates posterior distributions of parameters that are relevant to assessing the effect of implementing a new policy. An example, based on Campylobacter and chicken, estimates the annual number of illnesses avoided by a hypothetical policy; this output could be used to assess the economic benefits of a new policy. Empirical validation of the policy effect is also examined by estimating the annual change in the numbers of illnesses observed via disease surveillance systems.

Comparative history of Campylobacter contamination on chicken meat and campylobacteriosis cases in the United States: 1994-2018.

In many countries campylobacteriosis ranks as one of the most frequently reported foodborne illnesses and poultry is the commodity that is most often associated with these illnesses. Nevertheless, efforts to reduce the occurrence of pathogen contamination on poultry are often more focused on Salmonella. While some control measures are pathogen specific, such as pre-harvest vaccination for Salmonella, improvements in sanitary dressing and interventions applied during the slaughter process can be effective against all forms of microbial contamination. To investigate the potential effectiveness of these non-specific pathogen reduction strategies in the United States, it is helpful to assess if, and by how much, Campylobacter contamination of chicken meat has changed across time. This study assesses change considering data collected in both slaughter and retail establishments and comparing observed trends in contamination with trends in human surveillance data. The results support the assertion that substantial reductions in Campylobacter contamination of chicken meat in the late 1990s and early 2000s contributed to a reduction in the human case rate of campylobacteriosis. Further reductions in chicken meat contamination between 2013 and 2018 are more difficult to associate with trends in human illnesses, with one contributing factor being the inclusion of culture independent diagnostic test results in the official case counts during that time. Other contributing factors are discussed.

Operative management of an incidental portal vein aneurysm in the setting of an incarcerated congenital diaphragmatic hernia.

Portal vein aneurysms are rare pathologic entities. A 3.7-cm portal vein aneurysm was incidentally discovered in an 80-year-old male patient on imaging for acute abdominal pain secondary to an incarcerated diaphragmatic hernia. The aneurysm was resected, and primary repair of the portal vein was performed during a second-look operation after repair of the incarcerated hernia. Operative intervention was chosen for this patient because of the aneurysm's size and the additional indication for abdominal exploration.

Determining relationships between the seasonal occurrence of Escherichia coli O157:H7 in live cattle, ground beef, and humans.

The prevalence and concentration of many foodborne pathogens exhibit seasonal patterns at different stages of the farm-to-table continuum. Escherichia coli O157:H7 is one such pathogen. While numerous studies have described the seasonal trend of E. coli O157:H7 in live cattle, ground beef, and human cases, it is difficult to relate the results from these different studies and determine the interrelationships that drive the seasonal pattern of beef-related human illnesses. This study uses a common modeling approach, which facilitates the comparisons across data sets, to relate prevalence in live cattle to raw ground beef and human illness. The results support an intuitive model where a seasonal rise of E. coli O157:H7 in cattle drives increased ground beef prevalence and a corresponding rise in the human case rate. We also demonstrate the use of these models to assess the public health impact of consumer behaviors. We present an example that suggests that the probability of illness, associated with summertime cooking and handling practices, is not substantially higher than the baseline probability associated with more conventional cooking and handling practices during the remainder of the year.

Changes in Salmonella Contamination in Meat and Poultry Since the Introduction of the Pathogen Reduction and Hazard Analysis and Critical Control Point Rule.

ABSTRACT: In 1996, the Food Safety and Inspection Service (FSIS) published its pathogen reduction and hazard analysis and critical control point (PR-HACCP) rule. The intention of this program was to reduce microbial contamination on meat, poultry, and egg products. The program was implemented in stages between January 1998 and January 2000, with sampling for Escherichia coli O157:H7 and/or Salmonella in large production establishments beginning in 1998. As the PR-HACCP program begins its third decade, it is reasonable to question whether there have been reductions in the frequency of pathogen-contaminated meat and poultry products reaching consumers. This study summarizes the results for over 650,000 samples collected by FSIS between 2000 and 2018 in slaughter and processing establishments across the United States and compares these results to the roughly 100,000 retail samples collected by the U.S. Food and Drug Administration between 2002 and 2017. The data demonstrate that there has been an overall reduction in the occurrence of Salmonella on meat and poultry products, but the direction and magnitude of change has not been consistent over time or across commodities. Although the available data do not support the identification of causal factors for the observed changes, a historical review of the timing of various factors and policy decisions generates potential hypotheses for the observed changes.