Population-based incidence of food allergies in Olmsted County over 17 years

Background: There is growing concern about the rising incidence and prevalence of food allergy globally. We previously reported the incidence of food allergy in Olmsted County, Minnesota, between 2002 and 2011. We sought to update the incidence and temporal trends of food allergies in our region through 2018. Methods: By using the Rochester Epidemiology Project, all Olmsted County residents, with an incident diagnosis of food allergy between January 2, 2012, and December 31, 2018, were identified and their medical records were reviewed. These cases were combined with the previously collected incidence cases from January 2, 2002, and December 31, 2011, to understand longitudinal trends in food allergy incidence rates. Results: Over the 17-year study period, 1076 patients (58.0% male patients, 72.1% white) were diagnosed with an incident food allergy. The median (interquartile range) age at first diagnosis was 2.0 years (1.1-8.4 years). The overall annual incidence rate for all ages was 3.9 (95% confidence interval [CI], 3.6‐4.1) per 10,000 person-years and was significantly higher in male than in female patients (4.4 [95% CI, 4.0‐4.7] and 3.3 [95% CI, 3.0‐3.6], respectively; p < 0.001). The most common food allergen was egg in infancy (57.7%), peanuts in ages 1‐4 years (58.3%), tree nuts in ages 5‐18 years (57.4%), and seafood in adults (≥19 years) (45.3%). Conclusion: The incidence of food allergy in Olmsted County steadily increased from 2002 to 2008, then remained relatively stable between the years 2008 and 2013, and again presented a rising trend over the next 5 years until 2018. This warrants further investigations into the effects of changes in guidelines for early introductions of allergenic foods and other factors that affect causality.

Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project

Background: Studies evaluating the natural history of femoroacetabular impingement (FAI) are limited. Purpose: To stratify the risk of progression to osteoarthritis (OA) in patients with FAI using an unsupervised machine-learning algorithm, compare the characteristics of each subgroup, and validate the reproducibility of staging. Study Design: Cohort study (prognosis); Level of evidence, 2. Methods: A geographic database from the Rochester Epidemiology Project was used to identify patients with hip pain between 2000 and 2016. Medical charts were reviewed to obtain characteristic information, physical examination findings, and imaging details. The patient data were randomly split into 2 mutually exclusive sets: train set (70%) for model development and test set (30%) for validation. The data were transformed via Uniform Manifold Approximation and Projection and were clustered using Hierarchical Density-based Spatial Clustering of Applications with Noise. Results: The study included 1071 patients with a mean follow-up period of 24.7 ± 12.5 years. The patients were clustered into 5 subgroups based on train set results: patients in cluster 1 were in their early 20s (20.9 ± 9.6 years), female dominant (84%), with low body mass index (<19 ); patients in cluster 2 were in their early 20s (22.9 ± 6.7 years), female dominant (95%), and pincer-type FAI (100%) dominant; patients in cluster 3 were in their mid 20s (26.4 ± 9.7) and were mixed-type FAI dominant (92%); patients in cluster 4 were in their early 30s (32.7 ± 7.8), with high body mass index (≥29 ), and diabetes (17%); and patients in cluster 5 were in their early 30s (30.0 ± 9.1), with a higher percentage of males (43%) compared with the other clusters and with limited internal rotation (14%). Mean survival for clusters 1 to 5 was 17.9 ± 0.6, 18.7 ± 0.3, 17.1 ± 0.4, 15.0 ± 0.5, and 15.6 ± 0.5 years, respectively, in the train set. The survival difference was significant between clusters 1 and 4 ( P = .02), 2 and 4 ( P < .005), 2 and 5 ( P = .01), and 3 and 4 ( P < .005) in the train set and between clusters 2 and 5 ( P = .03) and 3 and 4 ( P = .01) in the test set. Cluster characteristics and prognosis was well reproduced in the test set. Conclusion: Using the clustering algorithm, it was possible to determine the prognosis for OA progression in patients with FAI in the presence of conflicting risk factors acting in combination.

Reduced calf muscle pump function is a risk factor for venous thromboembolism: A population-based cohort study

The calf muscle pump is a major determinate of venous return in the legs but has not been studied as a risk factor for venous thromboembolism (VTE). A population-based cohort study of Olmsted County, Minnesota residents was performed using calf pump function (CPF) measurements from venous plethysmography studies from 1998-2015. Patients with a history of VTE were excluded. Nursing validated VTE outcomes from the Rochester Epidemiology Project were identified after the index study date and patients with reduced CPF (rCPF) were compared to patients with normal CPF. 1532 patients with recorded CPF (28% air and 72% strain gauge plethysmography) were included: 591 (38.5%) had normal CPF, 353 (23.0%) had unilateral rCPF, and 588 (38.3%) had bilateral rCPF. Any VTE occurred in 87 patients (5.7%) after a median follow-up of 11.7 years (range 0-22.0 years; Table 2). Comparing patients with bilateral reduced to bilateral normal CPF, the unadjusted HR for incident VTE was 2.0 (95% CI 1.2-3.4) and after adjusting for age, BMI, and CCI, the HR was 1.68 (95% CI 0.98-2.89). The adjusted HR for ipsilateral DVT was evaluated in 3,064 legs comparing legs with reduced to normal CPF and was 1.71 (95% CI 1.03-2.84). Mortality was significantly higher in both the bilateral (p&lt;0.001) and unilateral (p&lt;0.001) rCPF groups compared to normal CPF. Our results demonstrate that CPF is a risk factor for VTE in an otherwise low-risk ambulatory population and might be a useful component in risk stratification models.

Multimorbidity, ageing and mortality: normative data and cohort study in an American population

ObjectivesTo describe the percentile distribution of multimorbidity across age by sex, race and ethnicity, and to demonstrate the utility of multimorbidity percentiles to predict mortality.DesignPopulation-based descriptive study and cohort study.SettingOlmsted County, Minnesota (USA).ParticipantsWe used the medical records-linkage system of the Rochester Epidemiology Project (REP; http://www.rochesterproject.org) to identify all residents of Olmsted County, Minnesota who reached one or more birthdays between 1 January 2005 and 31 December 2014 (10 years).MethodsFor each person, we obtained the count of chronic conditions (out of 20 conditions) present on each birthday by extracting all of the diagnostic codes received in the 5 years before the index birthday from the electronic indexes of the REP. To compare each person’s count to peers of same age, the counts were transformed into percentiles of the total population and displayed graphically across age by sex, race and ethnicity. In addition, quintiles 1, 2, 4 and 5 were compared with quintile 3 (reference) to predict the risk of death at 1 year, 5 years and through end of follow-up using time-to-event analyses. Follow-up was passive using the REP.ResultsWe identified 238 010 persons who experienced a total of 1 458 094 birthdays during the study period (median of 6 birthdays per person; IQR 3–10). The percentiles of multimorbidity across age did not vary noticeably by sex, race or ethnicity. In general, there was an increased risk of mortality at 1 and 5 years for quintiles 4 and 5 of multimorbidity. The risk of mortality for quintile 5 was greater for younger age groups and for women.ConclusionsThe assignment of multimorbidity percentiles to persons in a population may be a simple and intuitive tool to assess relative health status, and to predict short-term mortality, especially in younger persons and in women.

0799 A Population-based Study of Adult Patients With Recurrent, Clinician Diagnosed Sleepwalking and/or Sleep Related Eating Disorder

Introduction The ICSD-3 describes NREM-related parasomnias as abnormal sleep related complex movements where motor behavior occurs in the setting of absent or very minimal higher cognitive function. A population-based twin study reported that 3.9% of men and 3.1 % of women sleepwalk (SW) with 30% reported experiencing injury (Hublin 1997). Sleep related eating disorder (SRED) may be a variant of SW with a reported prevalence of 0.5-5 % (Michalska 2016). This study examined SW and SRED in a population-based sample permitting review of associated features, risk factors and outcomes. Methods The records-linkage system of the Rochester Epidemiology Project that includes all adults residing in Olmsted County MN was searched for documentation of patients seeking care for at least two episodes of sleepwalking and/or sleep eating. Records from 2007-2016 were included. Results 56 cases were identified with 50 (89 %) having SW and 16 (29%) SRED. The gender breakdown was 50% male and 50% female with the mean age at diagnosis of 40 (SD 13). Childhood parasomnia events were reported by 23/36 (62%) and a family history in 21/35 (64%). Data were unavailable for the others. The number of parasomnia incidents was ≥ 10 for 21 (37%). A variety of experiences were documented, including leaving the bedroom (39%), injury (25%), and exiting through a window/balcony (5%). Associated factors were sleep deprivation (52%), untreated obstructive sleep apnea (34%), antidepressant use (41%), zolpidem use (18%), circadian disruption (14%) and alcohol use (9%). Polysomnography was conducted for 41 (74%). Documented interventions were medication discontinuation (18%) and starting a benzodiazepine (16%). In 21%, no treatment was given. Conclusion This population-based study of adults with clinician diagnosed recurrent SW and SRED revealed equal rates in men and women. The majority of patients with SRED also had SW. 25% of cases were associated with injuries. Support Rochester Epidemiology Project supported by NIH R01 AG034676 and AG052425 and the Mayo Foundation.