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A B Pedersen

Publications and source records attributed to A B Pedersen.

12 recordsLinked to original sources

Patient-related predictors of implant failure after primary total hip replacement in the initial, short- and long-terms. A nationwide Danish follow-up study including 36,984 patients.

We examined the association between patient-related factors and the risk of initial, short- and long-term implant failure after primary total hip replacement. We used data from the Danish Hip Arthroplasty Registry between 1 January 1995 and 31 December 2002, which gave us a total of 36 984 patients. Separate analyses were carried out for three follow-up periods: 0 to 30 days, 31 days to six months (short term), and six months to 8.6 years after primary total hip replacement (long term). The outcome measure was defined as time to failure, which included re-operation with open surgery for any reason. Male gender and a high Charlson co-morbidity index score were strongly predictive for failure, irrespective of the period of follow-up. Age and diagnosis at primary total hip replacement were identified as time-dependent predictive factors of failure. During the first 30 days after primary total hip replacement, an age of 80 years or more and hip replacement undertaken as a sequela of trauma, for avascular necrosis or paediatric conditions, were associated with an increased risk of failure. However, during six months to 8.6 years after surgery, being less than 60 years old was associated with an increased risk of failure, whereas none of the diagnoses for primary total hip replacement appeared to be independent predictors.

Adolescent↗

Medication history on internal medicine wards: assessment of extra information collected from second drug interviews and GP lists.

PURPOSE: To assess the extra information about patients' pre-admission medication that second drug interviews and general practitioners' (GP) drug lists add to routine medication histories. METHODS: The medication histories of 81 patients from two medicine wards were compared with information collected from second interviews and GP drug lists. A panel of clinicians assessed the potential clinical impact of any discrepancies. RESULTS: In nine cases (11% CI: 6-20%) the medication history, the second interview and the GP lists were identical. The interviews revealed extra information about 54 prescription drugs and 72 over-the-counter drugs (OTCs) in 56 (69% CI: 58-78%) cases. The GP lists added 74 prescription drugs and 26 OTCs to the medication histories in 57 (70% CI: 60-79%) cases. Discrepancies were not associated with age, gender or number of drugs in medication history. In 18% (CI: 10-30%) of the cases, the specialist panel ascribed potential clinical problems to missing drug information. CONCLUSIONS: Second interviews and GP lists reveal extra information about pre-admission medication in two-thirds of cases. Both procedures should be routinely performed to compile a more comprehensive basis for drug prescribing. This approach may mend the course of roughly one in five patients.

Aged↗

Analyses of data quality in registries concerning diabetes mellitus--a comparison between a population based hospital discharge and an insulin prescription registry.

To evaluate the data quality in the Danish National Registry of Patients (DNRP) and the Prescription Registry in the country of Northern Jutland (487,000 inhabitants) concerning insulin dependent diabetes mellitus (IDDM) and insulin treated diabetes mellitus, a comparison between data in the two registries was made. From the Regional Hospital Registry in the County of Northern Jutland, containing discharge diagnoses from all admissions to hospitals in the county, we identified all patients with the IDDM diagnosis between 1987 and 1993. From the Regional Prescription Registry all insulin prescriptions taken up at pharmacies in the county in 1993 were identified. All persons were identified by their individual identification number (CPR-number), and a record linkage between the two data sources was made. The predictive value of an IDDM-registration in the DNRP was 96% and the corresponding completeness 91%. In the Prescription Registry the completeness was 96%. Both registries seem to be valuable study bases for epidemiological research in diabetes mellitus.

Denmark↗

Menstrual differences due to vegetarian and nonvegetarian diets.

We studied 41 nonvegetarian and 34 vegetarian premenopausal women whom we closely screened. The two groups were indistinguishable with respect to height, weight, body mass index, and menarche. The incidence of menstrual irregularity was 4.9% among nonvegetarians and 26.5% among vegetarians (P = 0.009). The vegetarian group consumed significantly greater amounts of polyunsaturated fatty acids, carbohydrates, vitamin B-6, and dietary fiber whereas the nonvegetarians reported greater intakes of saturated fatty acids, protein, cholesterol, caffeine and alcohol. Logistic-regression analyses showed that the probability of menstrual regularity among all study subjects (n = 75) was positively associated with increasing protein/kJ and increasing cholesterol/kJ intakes. The probability of being menstrually regular was negatively associated with increasing dietary fiber/kJ and increasing magnesium/kJ intakes. These results are consistent with the notion that menstrual regularity can be influenced by specific dietary nutrients that may have direct effects or exert their effects by modulating circulating sex steroid status.

Adolescent↗