PubMed Health⌕ Search

Biomedical subjects

Per Hyltoft Petersen

Publications and source records attributed to Per Hyltoft Petersen.

9 recordsLinked to original sources

Fasting and post-glucose load--reference limits for peripheral venous plasma glucose concentration in pregnant women.

Recently both the American Diabetes Organization (ADA) and World Health Organization (WHO) have revised the diagnostic recommendations for gestational diabetes mellitus (GDM), however, they did not not reach agreement on the criteria for diagnosis, the referral criteria for the confirmatory oral glucose tolerance test (OGTT), its standardization, and diagnostic cut-off point. The aims of this study were to investigate if the fasting venous plasma glucose mmol/l (f-vPG) and the 2-hour venous plasma glucose mmol/l (2h-vPG) after a WHO standardized 75 g oral glucose tolerance test (OGTT) in a non-risk group of pregnant women during first and third trimester of pregnancy deviated from that of risk groups, to establish a reference interval for f-vPG and 2h-vPG, and to investigate the predictive role of f-vPG for the 2h-vPG glucose concentration. This is a population-based case-control study where a consecutive number of pregnant women were invited to screening irrespective of their risk factors for GDM. All women filled in a questionnaire of the Danish national screening program on risk factors and had f-vPG and the 2h-vPG measured. By ruling out women with GDM and risk factors, we isolated a non-risk reference class. The In f-vPG parametric 97.5 centile was less than 5% higher during week 32 of pregnancy than during week 20, and therefore these groups were combined. The f-vPG 95% reference interval was from 4.01 mmol/l (95% CI: 3.96 to 4.07 mmol/l) to 5.26 mmol/l (95% CI: 5.19 to 5.34 mmol/l). "The true upper normal limit", the 99.9 centile, was 5.69 mmol/l (95% CI: 5.59 to 5.80 mmol/l). The f-vPG was 0.6 mmol/l lower over the whole range in pregnant women compared to age-matched non-pregnant women. The distribution of 2h-vPG concentrations at week 20 was non-Gaussian and therefore considered non-homogeneous, while it was Gaussian distributed and homogeneous at week 32. The 2h-vPG 95% reference interval of the combined weeks was from 2.80 mmol/l (95% CI: 2.56 to 3.04 mmol/l) to 7.58 mmol/l (95% CI: 7.34 to 7.82 mmol/l), and the upper limit of normal (99.9 centile) was 8.96 mmol/l (95% CI: 8.63 to 9.29 mmol/l). Distributions of f-vPG and 2h-vPG were distinct in our defined risk classes. In individual cases, no systematic correlation was found between the f-vPG concentration at week 20 and week 32. The f-vPG concentrations at any of the weeks did not predict the 2h-vPG level and no single clinical risk factor was decisive for the presence of GDM.

Blood Glucose↗

[Resistance tests in general practice. Validity can be improved by standardized procedures].

INTRODUCTION: Susceptibility testing of bacteria in urine is one of the commonest laboratory tests in general practice in Denmark. It is quick and easy to perform, but recent studies have shown low validity when the test is performed in general practice. If it is to continue as a diagnostic tool in general practice, its quality should be improved. The aim of this study was to investigate the effect of an intervention to improve the quality of susceptibility testing in general practice. MATERIAL AND METHODS: Twenty-three randomly selected general practices took part in the study. The intervention consisted of visits by laboratory technicians who instructed the practitioners in standardised procedures for susceptibility testing. Before and after the intervention, urine specimens containing monocultures of typical uropathogenic bacteria were sent to the practices. The practitioners performed susceptibility testing by the Sensicult and the Iso-Resagar methods, and the validity of the results before and after the intervention was compared. Results from susceptibility testing at the bacteriological laboratory, Odense University Hospital, were used as the gold standard. RESULTS: The median frequency of correct results increased from 82% to 98% for susceptibility testing by the Sensicult method (p = 0.001) and from 90% to 96% by the Iso-Resagar method (p = 0.05). DISCUSSION: The validity of susceptibility testing in general practice improves when preceded by instruction in standardised procedures.

Anti-Infective Agents, Urinary↗

Relative importance of genetic effects in rheumatoid arthritis: historical cohort study of Danish nationwide twin population.

OBJECTIVE: To determine the relative importance of environmental and genetic effects in the development of rheumatoid arthritis. DESIGN: Historical cohort study with record linkage between a twin registry and the Danish discharge registry as well as the Danish national registry of deaths used to estimate completeness. SETTING: Two population based nationwide twin birth cohorts. PARTICIPANTS: 37 338 twins were sent a questionnaire about rheumatic diseases. Self reported rheumatoid arthritis was verified by clinical examination and from medical records. MAIN OUTCOME MEASURES: The probandwise concordance rate of rheumatoid arthritis in monozygotic and dizygotic twins. RESULTS: The response rate was 84.7%. Rheumatoid arthritis was verified in 13 monozygotic and 36 dizygotic twins. There were no concordant monozygotic twin pairs and two concordant dizygotic twin pairs. Based on capture-recapture methods the probability of ascertainment was 78.3%. The probandwise concordance rate was 0 (95% confidence interval 0 to 24.7) in monozygotic twins and 8.8 (1.9 to 23.7) in dizygotic twins. CONCLUSION: Genes are of minor importance in the development of rheumatoid arthritis.

Adult↗

Serum lactate dehydrogenase isoenzyme 1 in patients with seminoma stage I followed with surveillance.

Serum lactate dehydrogenase isoenzyme I catalytic concentration (S-LD-1) was measured in patients with testicular seminoma clinical stage I followed with surveillance after orchiectomy. The serum samples were obtained before orchiectomy in 110 patients (group A) and soon after orchiectomy in 55 patients (group B). In group A, 60 patients (55%) had elevated S-LD-1 and 10 patients (9%) had elevated serum human chorionic gonadotropin concentrations (S-hCG). In group B, median S-LD-1 was lower than that of group A and decreased with increasing time after orchiectomv (p = 0.001, Jonckheere-Terpstra test, one-sided). After a median follow-up of 5.1 years, 23 patients (21%) in group A had relapses. The patients with elevated S-LD-1 and those with normal S-LD-1 had a similar relapse-free survival (p = 0.79, log-rank test). Thus patients with seminoma stage I had elevated S-LD-1 more often than elevated S-hCG but an elevation in S-LD-1 did not predict a relapse during follow-up with surveillance. Further studies are required to elucidate the value of S-LD-1 in monitoring the surveillance of patients with seminoma stage I.

Adult↗

Combination of analytical quality specifications based on biological within- and between-subject variation.

At a conference on 'Strategies to Set Global Analytical Quality Specifications in Laboratory Medicine' in Stockholm 1999, a hierarchy of models to set analytical quality specifications was decided. The consensus agreement from the conference defined the highest level as 'evaluation of the effect of analytical performance on clinical outcomes in specific clinical settings' and the second level as 'data based on components of biological variation'. Here, the many proposals for analytical quality specifications based on biological variation are examined and the outcomes of the different models for maximum allowable combined analytical imprecision and bias are illustrated graphically. The following models were investigated. (1) The Cotlove et al. (1970) model defining analytical imprecision (%CVA) in relation to the within-subject biological variation (%CV(W-S)) as: %CVA < or = 0.5 x %CV(W-S) (where %CV is percentage coefficient of variation). (2) The Gowans et al. (1988) concept, which defines a functional relationship between analytical imprecision and bias for the maximum allowable combination of errors for the purpose of sharing common reference intervals. (3) The European Group for the Evaluation of Reagents and Analytical Systems in Laboratory Medicine (EGE Lab) Working Group concept, which combines the Cotlove model with the Gowans concept using the maximal acceptable bias. (4) The External Quality Assessment (EQA) Organizers Working Group concept, which is close to the EGE Lab Working Group concept, but follows the Gowans et al. concept of imprecision up to the limit defined by the model of Cotlove et al. (5) The 'three-level' concept classifying analytical quality into three levels: optimum, desirable and minimum. The figures created clearly demonstrated that the results obtained were determined by the basic assumptions made. When %CV(W-S) is small compared with the population-based coefficient of variation [%CV(P) = (%CV2(W-S) +%CV2(B-S))(1/2)], the EGE Lab and EQA Organizers Working Group concepts become similar. Examples of analytical quality specifications based on biological variations are listed and an application on external quality control is illustrated for plasma creatinine.

Bias↗

Objective criteria for partitioning Gaussian-distributed reference values into subgroups.

BACKGROUND: The aim of this study was to develop new and useful criteria for partitioning reference values into subgroups applicable to gaussian distributions and to distributions that can be transformed to gaussian distributions. METHODS: The proposed criteria relate to percentages of the subgroups outside each of the reference limits of the combined distribution. Critical values suggested as partitioning criteria for these percentages were derived from analytical bias quality specifications for using common reference intervals throughout a geographic area. As alternative partitioning criteria to the actual percentages, these were transformed mathematically to critical distances between the reference limits of the subgroup distributions, to be applied to each pair of reference limits, the upper and the lower, at a time. The new criteria were tested using data on various plasma proteins collected from approximately 500 reference individuals, and the outcomes were compared with those given by the currently widely applied and recommended partitioning model of Harris and Boyd, the "Harris-Boyd model". RESULTS: We suggest 4.1% as the critical minimum percentage outside that would justify partitioning into subgroups, and 3.2% as the critical maximum percentage outside that would justify combining them. Percentages between these two values should be classified as marginal, implying that nonstatistical considerations are required to make the final decision on partitioning. The correlation between the critical percentages and the critical distances was mathematically precise in the new model, whereas this correlation is rather approximate in the Harris-Boyd model because focus on the difference between means in this model makes high precision hard to achieve. The application examples suggested that the new model is more radical than the Harris-Boyd model. CONCLUSIONS: New percentage and distance criteria, to be used for partitioning gaussian-distributed data, have been developed. The distance criteria, applied separately to both reference limit pairs of the subgroup distributions, seemed more reliable and correlated more accurately with the critical percentages than the distance criteria of the Harris-Boyd model. As opposed to the Harris-Boyd model, the new model is easily adjustable to new critical values of the percentages, should they need to be changed in the future.

Clinical Laboratory Techniques↗

Impact of subgroup prevalences on partitioning of Gaussian-distributed reference values.

BACKGROUND: The aims of this report were to examine how unequal subgroup prevalences in the source population may affect reference interval partitioning decisions and to develop generally applicable guidelines for partitioning gaussian-distributed data. METHODS: We recently proposed a new model for partitioning reference intervals when the underlying data distribution is gaussian. This model is based on controlling the proportions of the subgroup distributions that fall outside each of the common reference limits, using the distances between the reference limits of the subgroup distributions as functions to these proportions. We examine the significance of the unequal prevalence effect for the partitioning problem and quantify it for distance partitioning criteria by deriving analytical expressions to express these criteria as a function of the ratio of prevalences. An application example, illustrating various aspects of the importance of the prevalence effect, is also presented. RESULTS: Dramatic shrinkage of the critical distances between reference limits of the subgroups needed for partitioning was observed as the ratio of prevalences, the larger one divided by the smaller one, was increased from unity. Because of this shrinkage, the same critical distances are not valid for all ratios of prevalences, but specific critical distances should be used for each particular value of this ratio. Although proportion criteria used in determining the need for reference interval partitioning are not dependent on the prevalence effect, this effect should be accounted for when these criteria are being applied by adjusting the sample sizes of the subgroups to make them correspond to the ratio of prevalences. CONCLUSIONS: The prevalences of subgroups in the reference population should be known and observed in the calculations for every reference interval study, irrespective of whether distance or proportion criteria are being used to determine the need for reference interval partitioning. We present detailed methods to account for the prevalences when applying each of these types of criteria. Analytical expressions for the distance criteria, to be used when high precision is needed, and approximate distances, to be used in practical work, are derived. General guidelines for partitioning gaussian distributed data are presented. Following these guidelines and using the new model, we suggest that partitioning can be performed more reliably than with any of the earlier models because the new model not only offers an improved correspondence between the critical distances and the critical proportions, but also accounts for the prevalence effect.

Biometry↗