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Biomedical subjects

D M Bravata

Publications and source records attributed to D M Bravata.

12 recordsLinked to original sources

Multimedia quality of life assessment: advances with FLAIR.

Assessing impact of functional dependency on quality of life (QOL) among older adults can provide an in-depth understanding of health preferences. Utilities as a measure of preferences are necessary in conducting cost-effectiveness evaluations of healthcare interventions designed to improve overall QOL. We describe further development of a multimedia utility elicitation instrument that is highly portable and easily accessible. An earlier version, FLAIR1, introduced features designed for older adult, computer inexperienced users. FLAIR2 includes modifications such as migration to a web-based platform, consistency checks, audio/visual updates, and more response methods. As compared with FLAIR1, more FLAIR2 respondents (n=318) preferred using the computer and found the computer program to be enjoyable, easy to use, and easily understood. There were also fewer inconsistencies among FLAIR2 respondents. FLAIR2 enhancements have increased portability, minimized invariance and inconsistency, and produced a more user friendly design.

Activities of Daily Living↗

Impaired insulin sensitivity among nondiabetic patients with a recent TIA or ischemic stroke.

OBJECTIVES: To determine the prevalence of impaired insulin sensitivity among nondiabetic patients with a recent TIA or nondisabling ischemic stroke. METHODS: Eligible subjects were nondiabetic men and women over age 45 years who were hospitalized with a TIA or ischemic stroke. To measure insulin sensitivity, subjects underwent an oral glucose tolerance test between 2 and 6 months after their event. Impaired insulin sensitivity was defined by a value of < or =2.5 on the Composite Insulin Sensitivity Index derived from insulin and glucose values during the test. RESULTS: Between July 2000 and June 2001, we identified 177 eligible patients, among whom 105 declined to participate and 72 enrolled. The median age of participants was 71 years and 46 (64%) were men. The baseline event was stroke for 57 subjects (79%). A history of myocardial infarction (MI) was reported by 14 subjects (19%), and 16 (22%) were obese (body mass index > 30). Fasting glucose was normal (<110 mg/dL) for 58 (80%) participants and impaired (110 to 125 mg/dL) for 14 (20%). Among 72 participants, the median insulin sensitivity index value was 2.6 (range 0.9 to 10.2). The prevalence of impaired insulin sensitivity was 36 of 72 (50%, 95% CI 38% to 62%). Impaired insulin sensitivity was more prevalent among younger patients and patients with obesity, lacunar stroke etiology, and disability (Rankin grade >1). CONCLUSION: Impaired insulin sensitivity is highly prevalent among nondiabetic patients with a recent TIA or nondisabling ischemic stroke. This finding has important therapeutic implications if treatment to improve insulin sensitivity is shown to reduce risk for subsequent stroke and heart disease.

Aged↗

Hyperglycaemia in patients with acute ischaemic stroke: how often do we screen for undiagnosed diabetes?

BACKGROUND: Hyperglycaemia is common among patients with acute ischaemic stroke, and may be due to the physiological stress of the acute stroke event or reflect underlying diabetes mellitus. The under-diagnosis of diabetes in the general population, combined with the association of diabetes and stroke, suggests a rationale for screening for diabetes among hyperglycaemic stroke patients. AIM: To determine how often clinicians screen for diabetes among hyperglycaemic stroke patients without a prior diagnosis of diabetes. DESIGN: Retrospective medical record review. METHODS: We reviewed the records of acute ischaemic stroke patients admitted at any of ten Connecticut hospitals from May 1996 through December 1998. RESULTS: We identified 90 acute stroke patients with no prior history of diabetes. The prevalence of hyperglycaemia varied from 31% down to 6%, depending on the maximum glucose cut-off used to define hyperglycaemia: from > or = 140 mg/dl (7.8 mmol/l) to > or = 200 mg/dl (11.1 mmol/l). Only one of the hyperglycaemic patients (1/90, 1%) had any evidence that a clinician screened or planned to screen for undiagnosed diabetes: one patient had a haemoglobin A1c measured during the hospitalization, none received oral glucose tolerance testing while hospitalized, and no discharge summary included a plan to screen for diabetes as an out-patient. DISCUSSION: Hyperglycaemic stroke patients without a previous diagnosis of diabetes are not routinely screened for diabetes. This situation represents an opportunity, currently unused, to identify an important and modifiable condition.

Adult↗

Insulin resistance and risk for stroke.

BACKGROUND AND PURPOSE: Resistance to insulin-mediated glucose uptake by peripheral tissues is a cardinal defect in type 2 diabetes mellitus. Insulin resistance is also common among nondiabetic individuals, and may be an important risk factor for stroke in both populations. The authors review the definition, epidemiology, and treatment of insulin resistance. METHODS: The authors searched Medline (1977-2001) and reviewed bibliographies to identify pertinent English-language publications. RESULTS: Insulin resistance is present in most patients with type 2 diabetes. It is also common among elderly persons, certain ethnic groups, and persons with hypertension, obesity, physical deconditioning, and vascular disease. The principal pathophysiologic defect is impaired intracellular signaling in muscle tissue leading to defective glycogen synthesis. Insulin resistance is associated with numerous metabolic, hematologic, and cellular events that promote atherosclerosis and coagulation. The association between insulin resistance and risk for stroke has been examined in four case-control studies and five prospective observational cohort studies. Six of the nine studies are methodologically sound and provide evidence that insulin resistance is associated with risk for stroke. CONCLUSION: Insulin resistance may be a prevalent risk factor for stroke. New drugs can safely reduce insulin resistance and may have a role in stroke prevention.

Animals↗

A comparison of dermatologists' and primary care physicians' accuracy in diagnosing melanoma: a systematic review.

OBJECTIVE: To compare the accuracy of dermatologists and primary care physicians (PCPs) in identifying pigmented lesions suggestive of melanoma and making the appropriate management decision to perform a biopsy or to refer the patient to a specialist. DATA SOURCES: Studies published between January 1966 and October 1999 in the MEDLINE, EMBASE, and CancerLit databases; reference lists of identified studies; abstracts from recent conference proceedings; and direct contact with investigators. Medical subject headings included melanoma, diagnosis, screening, primary care, family practitioner, general practitioner, internal medicine, dermatologist, and skin specialist. Articles were restricted to those involving human subjects. STUDY SELECTION: Studies that presented sufficient data to determine the sensitivity and specificity of dermatologists' or PCPs' ability to correctly diagnose lesions suggestive of melanoma and to perform biopsies on or refer patients with such lesions. DATA EXTRACTION: Two reviewers independently abstracted data regarding the sensitivity and specificity of the dermatologists and PCPs for diagnostic and biopsy or referral accuracy. Disagreements were resolved by discussion. The quality of the studies was also evaluated. DATA SYNTHESIS: Thirty-two studies met inclusion criteria; 10 were prospective studies. For diagnostic accuracy, sensitivity was 0.81 to 1.00 for dermatologists and 0.42 to 1.00 for PCPs. None of the studies reported specificity for dermatologists; one reported specificity for PCPs (0.98). For biopsy or referral accuracy, sensitivity ranged from 0.82 to 1.00 for dermatologists and 0.70 to 0.88 for PCPs; specificity, 0.70 to 0.89 for dermatologists and 0.70 to 0.87 for PCPs. Receiver operating characteristic curves for biopsy or referral ability were inconclusive. CONCLUSIONS: The published data are inadequate to demonstrate differences in dermatologists' and PCPs' diagnostic and biopsy or referral accuracy of lesions suggestive of melanoma. We offer study design suggestions for future studies.

Clinical Competence↗

Employment and alcohol use after liver transplantation for alcoholic and nonalcoholic liver disease: a systematic review.

The purpose of the study is to evaluate patterns of employment and alcohol use among liver transplant recipients with alcoholic (ALD) and nonalcoholic liver disease (non-ALD). MEDLINE, EMBASE, and bibliographic searches identified 5,505 potentially relevant articles published between January 1966 and October 1998. Eighty-two studies reporting data on 5,020 transplant recipients met our inclusion criteria. Pre-orthotopic liver transplantation (OLT), 29% of transplant recipients with ALD and 59% of those with non-ALD worked versus 33% and 80% at 3 years for transplant recipients with ALD and non-ALD, respectively (P <.00001 for each interval). We found no difference in the proportion of transplant recipients with ALD and non-ALD reporting early alcohol use post-OLT: 4% versus 5% at 6 months and 17% versus 16% at 12 months. However, among post-OLT drinkers, transplant recipients with non-ALD were more likely to drink moderately and those with ALD to drink excessively. At 7 years post-OLT, 32% of the patients with ALD reported using alcohol. The odds ratio for alcohol use among patients who maintained abstinence for fewer than 6 months pre-OLT versus those who maintained abstinence for greater than 6 months was 7.8 (95% confidence interval, 4.0 to 15.3). Before OLT and at long-term follow-up, substantially more transplant recipients with non-ALD than ALD were employed. The proportions of transplant recipients with ALD and non-ALD reporting alcohol use did not differ, although those with ALD tended to consume greater quantities.

Adult↗

Quality of life and employment after liver transplantation.

1. In general, the health-related quality of life (QOL) of transplant recipients is impaired before and improves after liver transplantation. 2. Transplant recipients report largest gains in those aspects of QOL most affected by physical health and smaller improvements in areas affected by psychological functioning. 3. No utility-based measures have been used with liver transplant recipients; therefore, the necessary QOL weights for use in cost-effectiveness evaluations of liver transplantation are lacking. 4. Pretransplantation, the percentage of candidates with alcoholic liver disease (ALD) who work is less than that of candidates without ALD. However, there is no difference in rates of employment posttransplantation. 5. No study has described types of wages and benefits associated with jobs before or after transplantation or the extent to which health insurance benefits associated with employment motivate changes in work status. 6. Many studies in this field used non-validated heterogeneous instruments to measure QOL and employment, thus limiting the opportunity to combine results across studies and compare outcomes for liver transplant recipients with other patient populations.

Employment↗

Simple pooling versus combining in meta-analysis.

The simple pooling of data is often used to provide an overall summary of subgroup data or data from a number of related studies. In simple pooling, data are combined without being weighted. Therefore, the analysis is performed as if the data were derived from a single sample. This kind of analysis ignores characteristics of the subgroups or individual studies being pooled and can yield spurious or counterintuitive results. In meta-analysis, data from subgroups or individual studies are weighted first, then combined, thereby avoiding some of the problems of simple pooling. The purpose of this article is to describe how simple pooling differs from meta-analysis, provide a detailed analysis of why simple pooling can be a poor procedure, and show that combining by meta-analytic methods avoids such problems.

Data Collection↗

Health-related quality of life after liver transplantation: a meta-analysis.

The goal of this study is to assess health-related quality of life (HRQL) after orthotopic liver transplantation (OLT). Structured MEDLINE and Embase literature searches identified 5473 potentially relevant articles. Thirty-two additional references were collected from the bibliographies. Of the 5505 identified articles, 49 studies reporting data on 3576 transplant recipients met our inclusion criteria, which were an assessment of quality of life (QOL) in adult patients reported as either pretransplantation and posttransplantation data or with a comparison group and written in English. We combined posttransplantation QOL scores from 15 studies that reported data from the same QOL scales to assess the magnitude of the effect of OLT on QOL scales. We also performed a sign test on the 49 studies to evaluate the direction (positive or negative) of the effect of transplantation on QOL. Transplantation resulted in an improvement of 32% in Karnofsky scores, 11% in Sickness Impact Profile scores, and 20% to 50% in the domains of the Nottingham Health Profile. The sign test showed significant improvement in posttransplantation physical health (P <.0004), sexual functioning (P <.008), daily activities (P <.02), general HRQL (P <.02), and social functioning (P <.05), but not psychological health (P <.08). In general, the HRQL of the 3576 patients was impaired pretransplantation and improved posttransplantation. Transplant recipients reported large gains in those aspects of QOL most affected by physical health and smaller improvements in areas affected by psychological functioning.

Activities of Daily Living↗