Biomedical subjects
Publications and source records attributed to S Kittner.
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This study estimated the prevalence of dementia in 2,285 new admissions age 65+ to a statewide sample of 59 nursing homes in Maryland, 1992-1995. Dementia was ascertained according to DSM-III-R criteria by an expert panel of geriatric psychiatrists, neurologists, and a geriatrician using detailed information collected by trained lay evaluators from residents, family, staff, and medical records. Admissions to Maryland nursing homes are similar to admissions to nursing homes elsewhere in the United States. The prevalence of dementia was 48.2% (CI: 43.6-52.8) with an upper bound estimated at 54.5% (CI: 49.9-59.1). Prevalence is highest in facilities with <50 beds versus 200+ beds (65.5% vs 39.6%) and those in urban versus rural areas (50.0% vs 39.1%). Those who are non-White, married, and with fewer years of education are more likely to be demented. Prevalence is highest among those with 4+ physical impairments versus 0-1 (60.3% vs 27.7%) and lowest in those with 4+ comorbidities versus 0-1 (44.8% vs 52.0%). There was considerable overlap in the comorbid status of demented and nondemented admissions, and both groups contained members with only a few functional limitations. Results suggest that the level of medical supervision provided in nursing homes may not be required for some residents with dementia.
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There is limited information about the effect on stroke risk estimates of excluding cases who are unable to respond to interviews. A case-control study of ischemic stroke between 1988 and 1990 in Shreveport, La., USA, provided a basis for studying this question. Of 197 consecutively admitted cases of ischemic stroke, 77 were excluded due to dementia, aphasia or impaired consciousness. Information about risk factors and stroke characteristics was obtained from hospital records. Excluded cases had more left hemispheric (52 versus 19%) and fewer vertebrobasilar (12 versus 29%) and lacunar (5 versus 13%) infarcts than included cases. Excluded cases were also older (p < 0.01), and they had larger infarcts (p < 0.01), multiple strokes (p < 0.01) and congestive heart failure (p < 0.01) more often than included cases. Cases were matched to hospital controls by age, sex, race, and date of admission. Odds ratios (ORs) were higher for excluded cases for 5 of 6 exposures with a significantly higher OR for congestive heart failure (p < 0.01). The ORs changed by as much as 63% when excluded cases were added. These results emphasize the importance of acquiring information about excluded cases and considering selection bias when interpreting stroke studies that exclude cases who are unable to respond to interviews.
OBJECTIVE: To determine the association of hypertension, diabetes, and cigarette smoking with incidence of ischemic stroke in young adults. DESIGN: Case-control study. SETTING: Population-based sample of cases and controls. SUBJECTS: The study included 296 cases of incident ischemic stroke among black and white adults aged 18 to 44 years in central Maryland counties from the Baltimore-Washington Cooperative Young Stroke Study and 1220 black and white adults aged 18 to 44 years from the Maryland Behavioral Risk Factor Survey, a telephone survey of a random sample of the same region, to serve as controls. MAIN OUTCOME MEASURES: Logistic regression models were developed to determine the age-adjusted odds ratios for each risk factor. Population-attributable risk percent were computed based on the odds ratios and prevalence of each risk factor. RESULTS: The age-adjusted odds ratios (95% confidence intervals) for white men (WM), white women (WW), black men (BM), and black women (BW) were as follows: current cigarette smoking: WM, 2.0 (1.1-3.8), WW, 2.1 (1.1-4.3), BM, 3.3 (1.6-6.6), and BW, 2.2 (1.3-3.9); history of diabetes mellitus: WM, 22.9 (5.8-89.6), WW, 6.2 (1.9-20.2), BM, 4.2 (0.8-21.9), and BW, 3.3 (1.4-7.7); and history of hypertension: WM, 1.6 (0.7-3.2), WW, 2.5 (1.1-5.9), BM, 3.8 (1.8-7.9), and BW, 4.2 (2.4-7.5). The population-attributable risk percent (95% confidence intervals) were as follows: current cigarette smoking: WM, 22.6 (3.1-38.2), WW, 17.2 (4.0-34.0), BM, 40.5 (23.1-54.0), and BW, 29.1 (13.5-41.9); history of diabetes mellitus: WM, 19.0 (8.2-28.5), WW, 15.8 (3.8-26.3), BM, 13.2 (5.3-20.4), and BW, 22.1 (12.5-30.7); and history of hypertension: WM, 21.7 (6.2-34.6), WW, 21.3 (5.4-34.5), BM, 53.5 (39.0-64.4), and BW, 50.5 (37.1-61.1). CONCLUSIONS: Hypertension, diabetes mellitus, and current cigarette smoking are important risk factors in a biracial young adult population. Cigarette smoking and hypertension, the 2 most modifiable risk factors, were particularly important risk factors in young blacks.
A new method for ascertaining dementia in epidemiologic research and the results of a study to evaluate it are described. The method relies on an expert panel of clinicians reviewing clinically relevant information collected by lay evaluators to arrive at a diagnosis based on DSM-III-R criteria. The approach was developed to study dementia in a statewide sample of over 2400 new admissions to 59 nursing homes in Maryland. Expert panel ascertainment of dementia was compared to that obtained by direct clinical evaluation for 100 nursing home residents. Agreement between the panel and direct assessment was 76% (kappa = 0.59) using a three-category classification of dementia, no dementia, and indeterminate. This ascertainment strategy provides an alternative to methods currently in use and is particularly well-suited for populations with a high prevalence, in those dispersed over large geographic areas, and when timely, cost-effective evaluations are required.
We have discussed some of the more common etiologic categories found in young patients with stroke. Though many of the causes are rare, in the aggregate they account for many of the conditions leading to stroke. In Part II of this series (July 1991), we will explore some of the less common causes of stroke in the young and outline an approach to the patient.
Evaluation of the young stroke patient often requires an interdisciplinary approach because of the complexity of the problems encountered. We discuss some of the less common causes of stroke and present an approach to the patient.
The high prevalence of mental disorders such as depression and dementia in institutionalized elderly patients warrants screening for psychiatric diagnosis in patients newly admitted to long-term care facilities. The diagnostic accuracy of the Mini-Mental State Examination (MMSE) and the Geriatric Depression Scale (GDS) was evaluated against a standardized psychiatric interview. The MMSE was found to be 81% sensitive and 83% specific in screening for dementia using a previously established cutpoint of less than 24/30 points. Adjusting MMSE scores for physical disabilities precluding completion of specific tasks on the MMSE did not significantly change the diagnostic accuracy of the test. The GDS was 47% sensitive and 75% specific in screening for depression using the suggested cutpoint of greater than 13/30 points. The MMSE was significantly correlated with functional status (r = 0.48, P = .0001), but not with the scores on the GDS or the clinical diagnosis of depression. The GDS did not correlate with functional status. In summary, the MMSE is a good screening test for dementia in institutionalized elderly, but the GDS is not sensitive for depression in this population.
Two groups of clinically normal newborns, differing in the number of non-optimal factors in their obstetric history, were compared by measuring heart-rate response to a series of auditory stimuli. There was a significant difference between the groups in the direction of the average heart-rate response. The high risk" group showed more heart-rate acceleration and less deceleration compared with the "low-risk" group. The heart-rate responses were significantly related to the number of non-optimal obstetric conditions and to parity, but not to the maternal pre-delivery medication score. The greater the "risk" at birth, the less was the deceleration; the greater the maternal parity, the less did acceleration occur in response to auditory stimulation. There was no significant difference between the high-risk and low-rsik groups in heart-rate response trends over trials. Both groups showed reliable diminution of deceleration heart-rate response over trials.