Cancer among Asian Indians/Pakistanis living in the United States: low incidence and generally above average survival

Soon after 9/11 a research project to study new immigration into the Dallas Fort Worth metropolitan area got under way. In the questionnaire that was administered to 600 immigrants across five different immigrant populations (Asian Indians, Vietnamese, Mexicans, Salvadorans, and Nigerians) between 2003 and 2005 we decided to include a question about the impact of 9/11 on their lives. We asked: “How has the attack on the World Trade Center on September 11, 2001 affected your position as an immigrant in the United States?” This article analyzes the responses to this question, looking at similarities and differences across different immigrant populations. It also addresses the broader issue of how 9/11 has affected both immigration policy and attitudes toward the foreign-born in the United States.

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1428. Lyme Disease Treatment in the United States: Prescribing Patterns from a Nationwide Commercial Insurance Database, 2016-2018

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1610 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S720-S720

Author(s):

Amy M Beeson ◽

Grace E Marx ◽

Amy M Schwartz ◽

Alison F Hinckley

Keyword(s):

United States ◽

Lyme Disease ◽

Standard Treatment ◽

Age Distribution ◽

Public Health Problem ◽

The United States ◽

Adverse Outcomes ◽

Prescribing Patterns ◽

Antibiotic Prescribing ◽

Low Incidence

Abstract Background Lyme disease (LD) is the most common vector-borne disease in the United States and is a significant public health problem. The use of non-standard antibiotic treatment regimens for LD has been associated with adverse effects; however, the overall landscape of treatment has not been described previously. We aimed to describe real-world antibiotic prescribing patterns for LD. Methods We performed a retrospective analysis of the MarketScan commercial claims database of outpatient encounters from 2016-2018 in the United States. We identified all individuals with a visit that included an LD diagnosis code and a prescription within 30 days of the visit for one or more of 12 antibiotics that may be prescribed for LD. We then categorized each individual as having received either standard or non-standard treatment during the two-year period. Standard treatment was defined as treatment with a first, second or third-line antibiotic for LD, for no longer than 30 days, and for no more than two episodes during the study period. Descriptive and multivariable analyses were performed to compare characteristics of people who received standard vs non-standard treatment for LD. Results A total of 84,769 prescriptions met criteria for inclusion, written for 45,926 unique patients. The mean duration of prescriptions was 21.4 days (SD 10.8). Most individuals (84.5%) treated for LD received standard treatment during the study period. Female gender (OR 1.5, p< 0.0001) and age 19-45 (p=0.0003) were significantly associated with being prescribed non-standard LD treatment. Treatment in low-incidence states (OR 2.2 compared to high-incidence states, p< 0.0001) and during non-summer months (OR 2.2, p< 0.0001) was more likely to be non-standard. Age distribution of patients receiving treatment for Lyme disease, by gender and age at first prescription Seasonality of standard versus non-standard treatment of Lyme disease Conclusion In this population of employed, young, and insured patients, young and middle-aged women were at the highest risk of receiving non-standard LD treatment. Treatments prescribed in states with low incidence of LD or during non-summer months were also more likely to be non-standard, a trend which likely reflects misdiagnosis or overtreatment of LD. Future studies are needed to further define prescriber and patient factors associated with non-standard LD treatment and related adverse outcomes. Disclosures All Authors: No reported disclosures

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Cardiovascular Disease in Asian Indians Living in the United States

Current Cardiovascular Risk Reports ◽

10.1007/s12170-011-0171-7 ◽

2011 ◽

Vol 5 (3) ◽

pp. 240-245 ◽

Cited By ~ 2

Author(s):

Jasmine Boparai ◽

Himara Davila ◽

Manisha Chandalia

Keyword(s):

United States ◽

Cardiovascular Disease ◽

Asian Indians ◽

The United States

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EPID-10. GLIOMA INCIDENCE AND SURVIVAL BY INCOME LEVEL IN THE UNITED STATES GENERAL POPULATION AGES AND ABOVE FROM 2000-2018

Neuro-Oncology ◽

10.1093/neuonc/noab196.343 ◽

2021 ◽

Vol 23 (Supplement_6) ◽

pp. vi87-vi88

Author(s):

Jennifer Murillo ◽

Elizabeth Anyanda ◽

Jason Huang

Keyword(s):

United States ◽

General Population ◽

Survival Data ◽

Survival Rates ◽

The United States ◽

Income Level ◽

Population Based ◽

Research Database ◽

Income Levels ◽

Average Survival

Abstract Gliomas are the most common primary malignant brain tumor in the United States with previous studies showing the incidence varied by age, sex, and race or ethnicity. Survival after diagnosis has also been shown to vary by these factors. Also, socioeconomic status and its association with various cancers have also been studied at length over time. PURPOSE: The purpose of our research was to quantify the differences in incidence and survival rates of gliomas in 15 years and older by income level. METHODS: This population-based study obtained incidence and survival data from the Incidence-SEER Research Database the general population. Average age incidence were generated by glioma groups and grouped by income levels. Survival rates were generated by overall glioma diagnosis grouped by observed survival at 12, 24, 36, 48 and 60 months and by again by income levels. The analysis included 94,207 patients with glioma diagnosed in those aged 15 years or older. RESULTS: Overall, 94, 207 patients diagnosed with glioma were analyzed. Of these, 1,089 (1.16%) fell into the < $35k group, 1,684 (1.79%) in the $35k-$40k group, 3,473 (3.69%) in the $40k-$45k group, 5,647 (5.99%) in the $45k-$50k group, 7,138 (7.58%) in the $50k-$55k group, 6,468 (6.87%) in the $55k-$60k group, 15,348 (16.29%) in the $60k-$65k group, 13,216 (14.03%) in the $65k-$70k group, 9,035 (9.59%) in the $70k-$75k group, and 31,109 (33.02%) fell in > $75k group. The data was also broken further down into survivability showing average survival. CONCLUSION: Incidence of glioma and 12, 24, 36, 48 and 60 month survival rates after diagnosis vary significantly by income level with higher income level greater than $75,000+ having higher incidence and higher survival rates compared with lower income levels. Further research is needed to help determine risk factors and barriers to care to help reveal health disparities.

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PMU44 PREVALENCE OF MULTIMORBIDITY AMONG ASIAN INDIANS, CHINESE, AND NON-HISPANIC WHITES IN THE UNITED STATES

Value in Health ◽

10.1016/j.jval.2020.04.818 ◽

2020 ◽

Vol 23 ◽

pp. S241

Author(s):

Y. Zhang ◽

R. Misra ◽

U. Sambamoorthi

Keyword(s):

United States ◽

Asian Indians ◽

The United States

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Influenza Circulation in United States Army Training Camps Before and During the 1918 Influenza Pandemic: Clues to Early Detection of Pandemic Viral Emergence

Open Forum Infectious Diseases ◽

10.1093/ofid/ofv021 ◽

2015 ◽

Vol 2 (2) ◽

Cited By ~ 3

Author(s):

Daniel S. Chertow ◽

Rongman Cai ◽

Junfeng Sun ◽

John Grantham ◽

Jeffery K. Taubenberger ◽

...

Keyword(s):

United States ◽

World War I ◽

United States Army ◽

Respiratory Diseases ◽

National Guard ◽

Influenza Pandemic ◽

Case Fatality ◽

The United States ◽

Low Incidence ◽

1918 Influenza

Abstract Background. Surveillance for respiratory diseases in domestic National Army and National Guard training camps began after the United States’ entry into World War I, 17 months before the “Spanish influenza” pandemic appeared. Methods. Morbidity, mortality, and case-fatality data from 605 625 admissions and 18 258 deaths recorded for 7 diagnostic categories of respiratory diseases, including influenza and pneumonia, were examined over prepandemic and pandemic periods. Results. High pandemic influenza mortality was primarily due to increased incidence of, but not increased severity of, secondary bacterial pneumonias. Conclusions. Two prepandemic incidence peaks of probable influenza, in December 1917–January 1918 and in March–April 1918, differed markedly from the September–October 1918 pandemic onset peak in their clinical-epidemiologic features, and they may have been caused by seasonal or endemic viruses. Nevertheless, rising proportions of very low incidence postinfluenza bronchopneumonia (diagnosed at the time as influenza and bronchopneumonia) in early 1918 could have reflected circulation of the pandemic virus 5 months before it emerged in pandemic form. In this study, we discuss the possibility of detecting pandemic viruses before they emerge, by surveillance of special populations.

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