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Biomedical subjects

Andrew D Morris

Publications and source records attributed to Andrew D Morris.

33 records · Page 2Linked to original sources
PubMed2003

Impaired microvascular function in normal children: effects of adiposity and poor glucose handling.

Clustering of cardiovascular risk factors is thought to occur early in life. The endothelium is an important regulator of microvascular function. We investigated the relationship between microvascular function and cardiovascular risk factors in 145 normal, healthy children aged 11-14 years. Skin microvascular responses, measured using laser Doppler imaging, to iontophoresis of acetylcholine (ACh) and sodium nitroprusside (SNP), were negatively correlated with percentage body fat (r = -0.20, P < 0.05 and r = -0.18, P < 0.05, respectively). Subjects were stratified into quintiles based on 2-h, post-feeding glucose levels. Subjects in the upper glucose quintile (range 7.4-11.4 mmol l-1) showed significantly lower vasodilatation to both ACh (P < 0.005) and SNP (P < 0.02) than those in the lower quintile (range 3.9-4.9 mmol l-1). Waist-to-hip ratio and the fasting insulin resistance index were significantly greater in subjects in the upper quintile than those in the lower quintile (P < 0.001 and P < 0.05, respectively). Additionally, in subjects in the upper glucose quintile, fasting triglyceride correlated with fasting insulin (r = 0.59, P < 0.001) and with the fasting insulin resistance index (r = 0.49, P < 0.009), and plasma levels of cholesterol and 2-h glucose were also correlated (r = 0.40, P < 0.05). In a cross-section of normal children, microvascular function was negatively associated with adiposity. Additionally, in a subgroup of subjects, there was a clustering of high post-feeding glucose, impaired microvascular function, increased insulin resistance and higher central fat distribution. These findings suggest that risk factors for adult cardiovascular disease begin to cluster in normal children, which might have important consequences for development of atherosclerosis later in life.

Acetylcholine↗
PubMed2003

Geometric cutaneous melanoma: a helpful clinical sign of malignancy?

BACKGROUND: Malignant melanomas change shape in a random pattern, with ovoid, crescentic, or nodular shapes seen most frequently. We have observed a number of malignant melanomas that have presented with a geometric, angular shape and have noted that pigmented lesions with this configuration are often found to be malignant. We present 20 patients with malignant melanoma whose lesion displayed a geometric, angular shape. METHODS: Before excision for formal histopathology, all lesions were scored using the seven-point checklist and ABCDE systems and were divided into low-risk or significant risk of melanoma. RESULTS: Five different geometric shapes were observed. Depending on the scoring system employed, 20% to 40% of the geometric melanomas were considered to be of low risk of malignancy. CONCLUSION: The development of geometrical angular patterns in a malignant melanoma may represent a morphologic growth pattern that can be used as a clinical risk sign. Even apparently benign low-risk lesions with a geometric shape may pose a significant risk of malignant melanoma. By definition, the majority of lesions that are morphologically geometric are symmetrical in shape, which is more in favor of a benign diagnosis. This may increase the likelihood that early cutaneous melanomas with a geometric shape may be missed. Any pigmented lesion with a geometric configuration should raise the clinician's suspicion of malignancy even if considered otherwise to be of low risk by the standard melanoma checklists.

Humans↗
PubMed2003

Mortality from cerebrovascular disease in a cohort of 23 000 patients with insulin-treated diabetes.

BACKGROUND AND PURPOSE: Disease of the cardiovascular system is the main cause of long-term complications and mortality in patients with type I (insulin-dependent) and type II (non-insulin-dependent) diabetes. Cerebrovascular mortality rates have been shown to be raised in patients with type II diabetes but have not previously been reported by age and sex in patients with type I diabetes. METHODS: A cohort of 23 751 patients with insulin-treated diabetes, diagnosed under the age of 30 years from throughout the United Kingdom, was identified during 1972 to 1993 and followed up for mortality until the end of December 2000. Age- and sex-specific mortality rates and standardized mortality ratios (SMRs) were calculated. RESULTS: There were 1437 deaths during the follow-up, 80 due to cerebrovascular disease. Overall, the cerebrovascular mortality rates in the cohort were higher than the corresponding rates in the general population, and the SMRs were 3.1 (95% CI, 2.2 to 4.3) for men and 4.4 (95% CI, 3.1 to 6.0) for women. When stratified by age, the SMRs were highest in the 20- to 39-year age group. After subdivision of cause of death into hemorrhagic and nonhemorrhagic origins, there remained a significant increase in mortality from stroke of nonhemorrhagic origin. CONCLUSIONS: Analyses of mortality from this cohort, essentially one of patients with type I diabetes, has shown for the first time that cerebrovascular mortality is raised at all ages in these patients. Type I diabetes is at least as great a risk factor for cerebrovascular mortality as type II diabetes.

Adolescent↗
PubMed2003

How could primary care meet the informatics needs of UK Biobank? A Scottish proposal.

UK Biobank is an ambitious post-genomic project involving the recruitment and follow-up of 500 000 volunteers aged 45 to 69 years. Many primary care teams will be involved in the study directly or indirectly. The programme of research will use at least five data sources: paper-based questionnaires, blood samples, genotype information derived from the bloods, clinical/prescribing data from the medical records, and data on deaths. We describe three of the key challenges to primary care informatics posed by this project: patient recruitment, confidentiality, and data management. We then describe solutions proposed in Scotland, based on existing technologies. Some of these may be applicable elsewhere in the other Regional Collaborating Centres and other large-scale collaborative projects which rely on primary care informatics.

Aged↗
PubMed2003

Frequency of severe hypoglycemia requiring emergency treatment in type 1 and type 2 diabetes: a population-based study of health service resource use.

OBJECTIVE: To determine the incidence, predisposing factors, and costs of emergency treatment of severe hypoglycemia in people with type 1 and type 2 diabetes. RESEARCH DESIGN AND METHODS: Over a 12-month period, routinely collected datasets were analyzed in a population of 367,051 people, including 8,655 people with diabetes, to measure the incidence of severe hypoglycemia that required emergency assistance from Ninewells Hospital and Medical School (NHS) personnel including those in primary care, ambulance services, hospital accident and emergency departments, and inpatient care. Associated costs with these episodes were calculated. RESULTS: A total of 244 episodes of severe hypoglycemia were recorded in 160 patients, comprising 69 (7.1%) people with type 1 diabetes, 66 (7.3%) with type 2 diabetes treated with insulin, and 23 (0.8%) with type 2 diabetes treated with sulfonylurea tablets. Incidence rates were 11.5 and 11.8 events per 100 patient-years for type 1 and type 2 patients treated with insulin, respectively. Age, duration, and socioeconomic status were identified as risk factors for severe hypoglycemia. One in three cases were treated solely by the ambulance service with no other contact from health care professionals. The total estimated cost of emergency treatment of severe hypoglycemia was </= pound 92,078 in one year. CONCLUSIONS: Hypoglycemia requiring emergency assistance from health service personnel is as common in people with type 2 diabetes treated with insulin as in people with type 1 diabetes. It is associated with considerable NHS resource use that has a significant economic and personal cost.

Adult↗
PubMed2002

Relation of QT interval dispersion to the number of different cardiac abnormalities in diabetes mellitus.

Three studies have clearly shown that a prolonged QT dispersion (QTD) is the best predictor of cardiac death in patients with type 2 diabetes mellitus (DM). This was originally believed to be because QTD identified electrical inhomogeneity, but recent data suggests that this is unlikely. The alternative possibility is that QTD is a convenient identifier of hidden but lethal cardiac abnormalities. We explored whether the latter possibility is true by examining exactly what spectrum of cardiac abnormalities, if any, are over-represented in diabetics with a prolonged QTD. Two hundred nineteen patients with type 2 DM who had been first diagnosed with DM 3 to 6 years previously underwent intensive cardiac examinations. Patients with prolonged QTD had a significantly increased incidence of myocardial ischemia and left ventricular (LV) hypertrophy, and to a lesser extent, autonomic dysfunction. The main independent determinant of a prolonged QTD was ischemia, as seen on both ambulatory ST-segment monitoring (p <0.001) and Duke score on treadmill testing (p <0.001). It was also observed that QTD increased progressively as the number of different cardiac abnormalities increased (p <0.001). These studies suggest that QTD is a useful, general prescreening test to select diabetics for more detailed cardiac examinations (especially for ischemia and LV hypertrophy), and that if cardiac examinations were targeted by way of QTD screening, then a high incidence of hidden but treatable cardiac abnormalities could be found.

Aged↗
PubMed2002

Comparison of cardiovascular risk between patients with type 2 diabetes and those who had had a myocardial infarction: cross sectional and cohort studies.

OBJECTIVE: To compare risks of cardiovascular outcomes between patients with type 2 diabetes and patients with established coronary heart disease. DESIGN: Cross sectional study and cohort study using routinely collected datasets. SETTING: Tayside, Scotland (population 400 000) during 1988-95. SUBJECTS: In the cross sectional study, among patients aged 45-64, 1155 with type 2 diabetes were compared with 1347 who had had a myocardial infarction in the preceding 8 years. In the cohort study 3477 patients of all ages with newly diagnosed type 2 diabetes were compared with 7414 patients who had just had a myocardial infarction. MAIN OUTCOME MEASURES: Risk ratios for death from all causes, cardiovascular death, and hospital admission for myocardial infarction were calculated by Cox proportional hazards analysis and adjusted for age and sex. RESULTS: In the cross sectional study the adjusted risk ratio for death from all causes for patients who had myocardial infarction compared with those with diabetes was 1.33 (95% confidence interval 1.14 to 1.55) [corrected], and the risk ratio for hospital admission for myocardial infarction was 2.27 (1.82 to 2.83) [corrected]. In the cohort study, patients who had just had a myocardial infarction had a higher risk of death from all causes (adjusted risk ratio 1.35 (1.25 to 1.44)), cardiovascular death (2.93 (2.54 to 3.41)), and hospital admission for myocardial infarction (3.10 (2.57 to 3.73)). CONCLUSIONS: Patients with type 2 diabetes were at lower risk of cardiovascular outcomes than patients with established coronary heart disease.

Adult↗
PubMed2002

The epidemiology of liver disease in Tayside database: a population-based record-linkage study.

BACKGROUND: The true incidence and prevalence of liver disease is difficult to ascertain because there are few, if any, population-based registers of liver disease available to ensure proper case and comparator selection. The epidemiology of liver disease in Tayside (ELDIT) is a specially built register of liver disease for a well-defined geographical area of Scotland. AIMS: This paper describes the electronic linkage of multiple data sources to form ELDIT and provides initial results from the database. PATIENTS: All subjects resident in Tayside and registered with a general practitioner in the study period 1980-1999, approximately 400,000 people. METHODS: Electronic record-linkage techniques were employed to include anonymised data from primary and secondary sources. Hospital admissions, dispensed medication, and laboratory results from immunology, virology, and biochemistry were used to identify cases of liver disease. Diagnostic algorithms were used to verify and classify subjects with liver disease. A validation of the algorithms against the clinical diagnosis was used to determine the measure of agreement (true positive rate) of ELDIT. RESULTS: At present approximately 10,000 subjects have been identified with liver disease or abnormal liver function. The data set is nearing completion with cases of rarer liver disease being identified last. Incidence densities for the population were calculated. From the validation study, agreement between electronic and clinical diagnosis was 0.98 and positive predictive value was 0.83 showing electronic diagnostic algorithms are sensitive enough to identify liver disease using para-clinical data. CONCLUSIONS: ELDIT demonstrates how clinical information can be harnessed electronically to provide a better understanding of liver disease in a population.

Algorithms↗
PubMed2002

Accidents in patients with insulin-treated diabetes: increased risk of low-impact falls but not motor vehicle crashes--a prospective register-based study.

BACKGROUND: Patients with diabetes mellitus may be at increased risk of accidents, mainly because of hypoglycemia. A variety of approaches have been adopted in an attempt to quantify this risk, but there has not been, to date, a systematic study using a national trauma register. In this study, we report findings from the Scottish Trauma Audit Group database. METHODS: The database includes all patients admitted to hospital for 3 or more days, or who died in hospital as a result of their accident. The study includes 11,244 cases aged 15 years or over entered into the database between July 1996 and June 1998. This included 151 patients with insulin-treated diabetes. Using detailed prescribing information from one representative region, we have calculated the rates of different types of accidents for patients treated with insulin and compared this with the control population. We have analyzed information on the mechanism and severity of injury, outcome, and length of hospital stay. RESULTS: Overall, the rate of accidents for insulin-treated patients was estimated at 291.2 per 100,000 population per year compared with 148.4 for the control population (p < 0.001; relative risk, 1.97; 95% confidence interval, 1.68-2.32). Insulin-treated patients were, on average, older (p < 0.005), more likely to be women (p < 0.02), and had longer stay in hospital (p < 0.001). The major excess of injuries related to low falls (< 2 m), which accounted for 62.3% of the injuries in the insulin-treated group compared with 47.1% in the remainder (p < 0.01). Low falls in the insulin-treated group (n = 94) were examined in detail: compared with the control population, there was no difference in age and sex, Injury Severity Score, Revised Trauma Score (a measure of the severity of physiologic disturbance), or calculated probability of survival (TRISS). Length of inpatient stay was higher in the insulin-treated low-fall patients (10 vs. 7 days, p < 0.01). Of the 151 catalogued injuries, the vast majority were fractures at peripheral sites. Only 23 insulin-treated individuals were admitted after a motor vehicle crash during the study period. This represents a slight but not significant increase above the rate for the background population. CONCLUSION: This study confirms that patients taking insulin are at increased risk of accidents. Among the different types of injury, only low-impact falls were significantly increased. This is most likely related to an increased tendency for insulin-treated patients to fall during a hypoglycemic episode. However, patients with diabetes may also be at higher risk of sustaining a fracture after a fall. The number of car crashes involving drivers with insulin-dependent diabetes is small, and the rate is not significantly greater than that of the background population. Further study of the causes and consequences of falls in diabetic patients is warranted.

Accidental Falls↗
PubMedDate not supplied

Considerations in assessing effectiveness and costs of diabetes care: lessons from DARTS.

Use of a population-based diabetes clinical information system is crucial to understanding the nature and magnitude of disease burden, effects of treatment, and personal and economic costs of diabetes. Information from the DARTS (Diabetes Audit and Research in Tayside Scotland) project has shown that patients with diabetes account for a disproportionate amount of cardiovascular disease, have a poorer associated prognosis, and do not receive effective secondary preventive therapies as frequently as do patients without diabetes. In addition, the prevalence of type 2 diabetes is associated with lower socioeconomic status - as, in turn, is significantly increased body mass index (BMI). The DARTS findings also revealed that much of the cost of diabetes treatment is accounted for by costs associated with treatment of coronary vascular disease and hospitalization. The vast majority of type 2 patients have inadequately controlled blood pressure, and many of these patients do not adhere to prescribed oral therapy. It is clear that much work remains to be done to implement and maintain standards of care that will improve outcome in diabetes. Efforts in this regard can best be monitored by effective population-based programs.

Costs and Cost Analysis↗