Background: The recent development of a national Alzheimer's disease database makes it possible to compare the course of illness in various ethnic groups.
Methods: The National Alzheimer's Coordinating Center database was used to compare the clinical presentation and course of Alzheimer's disease (AD) in American Indians with whites and African-Americans, and to compare findings in American Indians seen in Oklahoma with those seen elsewhere. We ascertained the diagnosis of probable and possible AD, gender, education, history of affected first-degree relative, depression, history of stroke, Parkinson symptoms, age at onset of dementia, initial visit, and death. We also ascertained years from symptom onset and initial evaluation to death, initial Mini-Mental State Exam (MMSE) score adjusted for education, and years from onset of symptoms.
Results: Data from 30,993 subjects were analyzed. There were statistically significant but only small differences between groups. American Indians had the lowest proportion of affected first-degree relatives, depression, and extrapyramidal symptoms. Whites had the highest proportion of subjects with affected first-degree relatives and depression, but the lowest history of stroke. African Americans had the most frequent history of stroke and extrapyramidal symptoms. Indians seen in Oklahoma had a lower proportion of affected first-degree relatives than did those seen elsewhere.
Conclusions: Although there were no clinically significant differences in course of illness between these self-identified ethnic groups, this finding with regard to American Indians must be interpreted with caution, because the subjects for whom we had information regarding ancestry reported a smaller proportion of American Indian (25%) than white (75%) heritage.
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http://dx.doi.org/10.1016/j.jalz.2007.04.376 | DOI Listing |
Sci Rep
January 2025
Department of Computer Science, Faculty of Computers and Information, Suez University, P. O. Box 43221, Suez, Egypt.
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system.
View Article and Find Full Text PDFJTO Clin Res Rep
January 2025
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
Introduction: Despite efforts to achieve health care equality, racial/ethnic disparities persist in lung cancer survival in the United States, with non-Hispanic Black patients experiencing higher mortality compared with non-Hispanic Whites. Previous research often focused on single treatments, overlooking the broad range of options available. We aimed to highlight disparities in survival and receipt of comprehensive lung cancer treatment by developing a guideline-concordant initial treatment (GCIT) indicator based on disease stage and recommended treatment.
View Article and Find Full Text PDFBackground: Tooth wear is an important mechanism for reducing dental dimensions and, consequently, dental crowding. The objective of this cohort study was to examine the relation of tooth wear, adjusted for covariates (age, tooth loss, arch perimeter and intercanine width), on tertiary crowding in Amazon Indigenous populations.
Methods: A sample of 40 Indigenous people in permanent dentition at T0 (baseline) and after 13 years (T1) were evaluated.
Mov Disord Clin Pract
January 2025
Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
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