scholarly journals Adult seafood allergy in the Texas Medical Center: A 13-year experience

2011 ◽  
Vol 2 (2) ◽  
pp. ar.2011.2.0019 ◽  
Author(s):  
Faria Khan ◽  
Frank Orson ◽  
Yoshiko Ogawa ◽  
Crystal Parker ◽  
Carla McGuire Davis
Keyword(s):  
United States ◽  
Respiratory Symptoms ◽  
Clinical Characteristics ◽  
Medical Center ◽  
Adult Population ◽  
Texas Medical ◽  
Fish Allergy ◽  
Patient Reported ◽  
Age Of Diagnosis ◽  
Shellfish Allergy

There is a paucity of data regarding prevalence and characteristics of adult seafood allergy in United States cohorts. This study was designed to determine the characteristics of patient-reported seafood allergy in a large allergy referral adult population. Retrospective analysis was performed of laboratory and clinical characteristics of seafood-allergic patients in three allergy clinics in the Texas Medical Center between January 1,1997 and January 30,2010. Of 5162 patients seen in this adult allergy referral population, 159 had physician-diagnosed seafood allergy with an average age of diagnosis of 50.2 (18–81 years) years. Shellfish allergy (59.1%) was more frequent than fish allergy (13.8%). Crustacean allergy (82.6%) was more frequent than mollusk allergy (7.2%). Shrimp (72.5%), crab (34.8%), and lobster (17.4%) were the most common shellfish allergies and tuna (28.6%), catfish (23.8%), and salmon (23.8%) were the most common fish allergies. One-third of seafood-allergic patients reported reactions to more than one seafood. Shellfish-allergic adults were more likely to experience respiratory symptoms than fish-allergic adults (p < 0.05). The likelihood of having anaphylaxis (32%) was not statistically different between shellfish- and fish-allergic subjects. Severe reactions were 12.9 times more likely to occur within the 1st hour of ingestion compared with nonsevere reactions (p < 0.005). The percentage of seafood allergy in this adult allergy referral population was 3.08%.

The economic burden of vertigo and dizziness in the United States

2020 ◽  
pp. 1-10
Author(s):  
Jeremy S. Ruthberg ◽  
Chandruganesh Rasendran ◽  
Armine Kocharyan ◽  
Sarah E. Mowry ◽  
Todd D. Otteson
Keyword(s):  
United States ◽  
Health Care ◽  
Economic Burden ◽  
Clinical Characteristics ◽  
Care Service ◽  
Adult Population ◽  
Health Care Service ◽  
The United States ◽  
Medical Expenditures ◽  
Limited Information

BACKGROUND: Vertigo and dizziness are extremely common conditions in the adult population and therefore place a significant social and economic burden on both patients and the healthcare system. However, limited information is available for the economic burden of vertigo and dizziness across various health care settings. OBJECTIVE: Estimate the economic burden of vertigo and dizziness, controlling for demographic, socioeconomic, and clinical comorbidities. METHODS: A retrospective analysis of data from the Medical Expenditures Panel Survey (2007–2015) was performed to analyze individuals with vertigo or dizziness from a nationally representative sample of the United States. Participants were included via self-reported data and International Classification of Diseases, 9th Revision Clinical Modification codes. A cross-validated 2-component generalized linear model was utilized to assess vertigo and dizziness expenditures across demographic, socioeconomic and clinical characteristics while controlling for covariates. Costs and utilization across various health care service sectors, including inpatient, outpatient, emergency department, home health, and prescription medications were evaluated. RESULTS: Of 221,273 patients over 18 years, 5,275 (66% female, 34% male) reported either vertigo or dizziness during 2007–2015. More patients with vertigo or dizziness were female, older, non-Hispanic Caucasian, publicly insured, and had significant clinical comorbidities compared to patients without either condition. Furthermore, each of these demographic, socioeconomic, and clinical characteristics lead to significantly elevated costs due to having these conditions for patients. Significantly higher medical expenditures and utilization across various healthcare sectors were associated with vertigo or dizziness (p <  0.001). The mean incremental annual healthcare expenditure directly associated with vertigo or dizziness was $2,658.73 (95% CI: 1868.79, 3385.66) after controlling for socioeconomic and demographic characteristics. Total annual medical expenditures for patients with dizziness or vertigo was $48.1 billion. CONCLUSION: Vertigo and dizziness lead to substantial expenses for patients across various healthcare settings. Determining how to limit costs and improve the delivery of care for these patients is of the utmost importance given the severe morbidity, disruption to daily living, and major socioeconomic burden associated with these conditions.

Clinical Characteristics of Patients Diagnosed with Strongyloidiasis in a United States Urban Outpatient Dermatology Department: A Case Series

2017 ◽  
Vol 1 (3) ◽  
pp. 156-160
Author(s):  
Jacqueline Watchmaker ◽  
Sean Legler ◽  
Dianne De Leon ◽  
Vanessa Pascoe ◽  
Robert Stavert
Keyword(s):  
United States ◽  
Case Series ◽  
The United States ◽  
Screening Tools ◽  
Dermatology Department ◽  
Cutaneous Manifestations ◽  
Serologic Testing ◽  
Patient Reported ◽  
History Of ◽  
Endemic Areas

Background: Although considered a tropical disease, strongyloidiasis may be encountered in non-endemic regions, primarily amongst immigrants and travelers from endemic areas.  Chronic strongyloides infection may be under-detected owing to its non-specific cutaneous presentation and the low sensitivity of commonly used screening tools. Methods: 18 consecutive patients with serologic evidence of strongyloides infestation who presented to a single urban, academic dermatology clinic between September 2013 and October 2016 were retrospectively included.  Patient age, sex, country of origin, strongyloides serology titer, absolute eosinophil count, presenting cutaneous manifestations, and patient reported subjective outcome of pruritus after treatment were obtained via chart review.  Results: Of the 18 patients, all had non-specific pruritic dermatoses, 36% had documented eosinophila and none were originally from the United States. A majority reported subjective improvement in their symptoms after treatment. Conclusion:  Strongyloides infection and serologic testing should be considered in patients living in non-endemic regions presenting with pruritic dermatoses and with a history of exposure to an endemic area.Key Points:Chronic strongyloidiasis can be encountered in non-endemic areas and clinical manifestations are variableEosinophilia was not a reliable indicator of chronic infection in this case series Dermatologists should consider serologic testing for strongyloidiasis in patients with a history of exposure and unexplained pruritus

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

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