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Biomedical subjects

P H Petersen

Publications and source records attributed to P H Petersen.

At least 19 recordsLinked to original sources
PubMed2003

Biological variation in variables associated with exercise training.

To be able to identify a training induced change in a certain variable, it is necessary to know the background variation. In this study the coefficient of variation (total, between-subjects, within-subjects), the relative sources of variance (between-subjects and within-subjects), and the critical difference (within-subjects) were estimated in four categories of variables (performance and physiological variables, metabolic and hormonal variables, immunological variables, and mood state variables) in 15 moderately trained male runners measured on three different occasions over a period of 7 weeks. In the performance and physiological variables, 78.9 % of the variance was due to variation between subjects and they had the lowest critical difference (11.9 %). In contrast, the metabolic and hormonal variables had the highest critical difference (59.9 %) and 53.4 % of the variance was due to variations within subjects. The immunological and psychological variables had about two thirds of the variance arising from variation between subjects. However, the critical difference for the immunological variables was high (47.4 %), while it was relatively low for the psychological variables (26.8 %). The low critical difference and variation within subjects of the psychological and in particular the performance and physiological variables indicate that they may be beneficial as primary markers of training induced changes.

Adult↗
PubMed2001

[A randomized controlled trial of the use of CRP rapid test as a guide to treatment of respiratory infections in general practice].

INTRODUCTION: The aim was to assess whether the frequency of antibiotic prescriptions to patients with respiratory infections is reduced when general practitioners (GPs) use a CRP rapid test to support their clinical assessment, and to examine whether the use of the test would have any effect on the course of disease. MATERIAL AND METHOD: A randomised controlled trial was carried out by 35 general practices in the County of Funen, Denmark, with 812 patients with respiratory infection. The main outcome measures were frequency of antibiotic prescriptions and morbidity one week after the consultation, as stated by the patients. RESULTS: The frequency of antibiotic prescriptions was 43% (179/414) in the CRP group and 46% (184/398) in the control group (NS, OR = 0.9). At one week, increased or unchanged morbidity was stated more frequently in the CRP group (12%) than in the control group (8%) (OR = 1.6, p = 0.05). In the control group, the variable having the greatest influence on whether the GP prescribed antibiotics was the patient's general well-being (OR = 2.9, p < 0.0001), whereas in the CRP group the CRP value had the greatest influence (OR = 1.1 per unit increase [mg/l], p < 0.0001). CONCLUSION: From on the present study, the use of a single CRP rapid test to support possible antibiotic treatment of respiratory infections in general practice cannot be recommended.

Anti-Bacterial Agents↗
PubMed2001

Serum lactate dehydrogenase isoenzyme 1 and relapse in patients with nonseminomatous testicular germ cell tumors clinical stage I.

Serum lactate dehydrogenase isoenzyme 1 catalytic concentration (S-LD-1) was measured at the time of orchiectomy in 104 patients with nonseminomatous testicular germ cell tumors (NSTGCT) clinical stage I who participated in a randomized study comparing surveillance after orchiectomy (group I) and radiotherapy (group II). For 68 patients, S-LD-1 was measured in a serum sample before or on the day of the orchiectomy. Twenty-seven patients (40%) had elevated S-LD-1; median 102 U/L (range 41-335). For the remaining 36 patients. S-LD-1 was measured in a serum sample after orchiectomy: 8 of these patients (22%) had elevated S-LD-1. S-LD-1 was normalized shortly after surgery in most patients with a preorchiectomy elevated S-LD-1. Fifteen of the 68 patients relapsed: 9 out of 27 with an elevated S-LD-1 and 6 out of 41 patients with normal S-LD-1 (p = 0.13, Fisher's exact test). In group 1, those with a preoperatively elevated S-LD-1 had a lower 8-years' relapse-free survival than those with a normal S-LD-1 (40% vs. 80%, p = 0.003, log-rank test). The role of S-LD-1 in the staging, prognostication and monitoring of patients with NSGCT clinical stage I should be further explored in a large, prospective study.

Adolescent↗
PubMed2001

Influence of index of individuality on false positives in repeated sampling from healthy individuals.

The index of individuality is defined as the ratio of the within-subject biological variation to the between-subject variation, i.e., the variation between the biological set-points. It has been disputed whether the index of individuality has influence on the usefulness of conventional population-based reference intervals. In this investigation we found that, as long as only a single sample is taken, for a certain change in an individual's set-point, the index of individuality has no influence on the usefulness of reference intervals. When two or more samples are taken into account, however, the outcome of the measurement is highly dependent on the index of individuality. For a low index, repeat measurement has only limited effect on the fraction of false-positive results, as the next result will be close to the first, but, when the index is high, the fraction of false-positive results will be reduced considerably through repeating the test. Moreover, the distribution of biological set-points for which the fraction of false-positive results originate is described and the influence of analytical imprecision is discussed. The calculations are performed for values of the index of individuality from 0 to 2.0 for the traditional 95% reference interval based on x +/- 2*s(total) (s(total) = total biological variation), and also for a decision limit (cut-off point) x +/- 3*s(total). The numbers are, of course, different, but the effects of the index of individuality are the same, independent of the chosen cut-off point. This concept is related to the clinical classification (diagnosis, prognosis, screening) and the difference from different principles of monitoring is discussed. Further, five examples are evaluated and aspects of index of individuality in relation to false-positive results are discussed.

Analysis of Variance↗
PubMed2001

Calibration, specificity and trueness of a postheparin plasma lipoprotein lipase assay.

Measurement of lipoprotein lipase activity in postheparin plasma is generally accompanied by moderate within-run variation CV(W-R) (<10%) and higher between-run variation CV(B-R) (5-25%). A calibration system was introduced in order to improve the reproducibility of measurements and to compare lipoprotein lipase activities from different days. Every day a calibration curve for lipoprotein lipase activity was constructed. Fifteen calibration curves designed over 2 years, show linearity over the whole biological spectrum and a considerable reduction of between-run variation in lipoprotein lipase activity, from 42% to 5.3% as estimated from two control postheparin plasma samples. The lipoprotein lipase calibration system is an easy and very cheap arrangement, which makes it possible to compare lipoprotein lipase activities achieved over years. When the lipoprotein lipase control values are compared with reference lipoprotein lipase samples determined in other lipase laboratories, the calibration-control system becomes an important tool for reducing analytical bias. The article reviews the original analytical criteria of catalytic measurement of lipoprotein lipase activity and describes the implementation of the calibration-control system. We describe a model for reduction of the analytical variability in the measurement of lipoprotein lipase activity. Other standardization efforts need to be made in the future, especially to define the reference material for calibration.

Animals↗
PubMed2001

Interpretation of sequential measurements of cancer antigen 125 (CA 125), carcinoembryonic antigen (CEA), and tissue polypeptide antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer.

The main objective with cancer antigen 125 (CA 125), carcinoembryonic antigen (CEA), and tissue polypeptide antigen (TPA) monitoring of ovarian cancer patients is to detect an early change of disease activity with high reliability. We hypothesized that a monitoring scheme for ovarian cancer patients with serological tumor markers should take into account the stochastic variation, i.e. the probability that observed increases and decreases may solely be due to analytical imprecision and normal intra-individual biological variation. The aim of this study was to provide a detailed characteristic of the within-subject mean steady state concentrations and the associated variability in healthy individuals with an age distribution representative for ovarian cancer patients. Thirty-one healthy women with a median age of 55 years comprised the study population. Sixteen blood samples were collected from each subject in four series, with four samples per series, over a period of approximately 1 year. We found that, i) natural logarithmic-transformed concentrations were more homogeneously distributed between individuals than the original concentrations, ii) the within-subject mean steady state levels, the standard deviations, and the coefficients of variation differed among subjects, and iii) the steady state variability differed among the markers. In conclusion, our data indicate that the assessment of sequential CA 125, CEA, and TPA concentrations is more complex than hitherto recognized. We suggest that it is necessary to adjust the assessment criteria to the type of marker, and that assessment may be facilitated if based on natural logarithmic transformed concentrations.

Adult↗
PubMed2001

Models for combining random and systematic errors. assumptions and consequences for different models.

A series of models for handling and combining systematic and random variations/errors are investigated in order to characterize the different models according to their purpose, their application, and discuss their flaws with regard to their assumptions. The following models are considered 1. linear model, where the random and systematic elements are combined according to a linear concept (TE = absolute value(bias) + z x sigma), where TE is total error, bias is the systematic error component, sigma is the random error component (standard deviation or coefficient of variation) and z is the probability factor; 2. squared model with two sub-models of which one is the classical statistical variance model and the other is the GUM (Guide to Uncertainty in Measurements) model for estimating uncertainty of a measurement; 3. combined model developed for the estimation of analytical quality specifications according to the clinical consequences (clinical outcome) of errors. The consequences of these models are investigated by calculation of the functions of transformation of bias into imprecision according to the assumptions and model calculations. As expected, the functions turn out to be rather different with considerable consequences for these types of transformations. It is concluded that there are at least three models for combining systematic and random variation/errors, each created for its own specific purpose, with its own assumptions and resulting in considerably different results. These models should be used according to their purposes.

Algorithms↗
PubMed2001

Strategy for determining racial and environmental similarities and differences for plasma proteins.

The aim of this protocol is to establish a common basis for the production of reference values and well-defined and documented reference intervals for plasma proteins, based on common standardization, using the IFCC/BCR/CAP Certified Reference Material CRM 470. The strategy is to search for racial and environmental/geographical similarities and sources of differences in order to describe the main causes for variability among smaller or larger groups in selected societies and to estimate the sizes of differences for the different proteins according to the investigated sources. For this purpose, groups of reference individuals are selected according to race and geographical/environmental location, e.g. African Americans and Caucasians from the US. The reference individuals are groups of approximately 160 healthy male blood donors, 20 to 60 years of age. Rule-out criteria are positivity for HIV, hepatitis B and C antibodies and blood hemoglobin below the lower reference limit. Exclusion in relation to different C-reactive protein (CRP) levels will be investigated. Coagulation, storage conditions, transport, and the procedure for thawing are specified. The laboratories undertaking the measurements must have adequate analytical performance, and calibration and quality of performance are defined and documented, together with recommended control materials and procedures. Statistical models for describing distributions and for comparing groups are described. It is recommended that the data be presented as reference limits with 90% confidence intervals of those limits.

Adult↗
PubMed2000

[Resistance testing in general practice--is it valid?].

Resistance of uropathogenic bacteria to antibiotics is an increasing problem in primary health care. The aim of this study was to evaluate antibacterial susceptibility testing of uropathogenic when performed in general practice. Urine specimens with a known quantity of typically uropathogenic bacteria were sent to 25 general practices. The predictive values of testing a bacterial strain as susceptible ranged from 0.89 (nitrofurantoin) to 1.00 (sulphamethizole), and the predictive value of testing a bacterial strain as resistant ranged from 0.55 (trimethoprim) to 0.90 (nitrofurantoin). If susceptibility testing is to be widely implemented in general practice it would be necessary to improve the validity.

Anti-Bacterial Agents↗
PubMed2000

Standardised procedures can improve the validity of susceptibility testing of uropathogenic bacteria in general practice.

OBJECTIVE: To investigate whether the validity of susceptibility testing in general practice would improve when preceded by an intervention. INTERVENTION: Instruction in standardised susceptibility testing procedures given by laboratory instructors. METHOD: Urine specimens containing monocultures of typical uropathogenic bacteria were sent to 23 general practices before and after the intervention. Practices performed susceptibility testing by the Sensicult and the Iso-Res agar 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 gold standard. RESULTS: The median frequency of correct results increased from 82% to 98% for susceptibility testing based on Sensicult (p = 0.001) and from 90% to 96% based on Iso-Res agar (p = 0.05). CONCLUSION: The validity of susceptibility testing in general practice improves when preceded by instruction in standardised procedures.

Denmark↗
PubMed2000

Randomised controlled trial of CRP rapid test as a guide to treatment of respiratory infections in general practice.

OBJECTIVE: To assess whether the frequency of antibiotic prescriptions to patients with respiratory infections is reduced when general practitioners (GPs) use a C-reactive protein (CRP) rapid test in support of their clinical assessment, and to study whether using the test will have any effect on the course of disease DESIGN: Randomised controlled trial. SETTING: 35 general practices, County of Funen, Denmark. PATIENTS: 812 patients with respiratory infection. MAIN OUTCOME MEASURES: Frequency of antibiotic prescriptions and morbidity 1 week after the consultation, as stated by the patients. RESULTS: In the CRP group the frequency of antibiotic prescriptions was 43% (179/414) compared with 46% (184/398) in the control group (odds ratio (OR) = 0.9, NS). After 1 week, increased or unchanged morbidity was stated more frequently in the CRP group (12%) than in the control group (8%) (OR = 1.6, p = 0.05). In the control group, the variable having the greatest influence on whether the GP prescribed antibiotics was the patients' general well-being (OR = 2.9, p < 0.0001), whereas in the CRP group the CRP value had the greatest influence (OR = 1.1 per unit increase (mg/l), p < 0.0001). CONCLUSION: Based on the present study, the use of the CRP rapid test in support of a possible antibiotic treatment for respiratory infections in general practice cannot be recommended.

Adolescent↗
PubMed2000

Assessment of CA 15.3, CEA and TPA concentrations during monitoring of breast cancer.

The variability of the tumor markers cancer antigen (CA) 15.3, carcinoembryonic antigen (CEA) and tissue polypeptide antigen (TPA) during steady state concentrations and the rate of increase during progression is described. One hundred and ninety-two patients were monitored during first-line chemotherapy for metastatic breast cancer and during follow-up. Blood specimens were sampled approximately every four weeks. Steady state concentrations were registered for 77 (CA 15.3), 96 (CEA), and 127 (TPA) patients with below cutoff level values and for 28 (CA 15.3), 25 (CEA), and 11 (TPA) patients with above cutoff level values. Clinical and marker progression was registered for 75 (CA 15.3), 62 (CEA), and 57 (TPA) patients. The coefficients of total variation of steady state concentrations (comprising the intra- and interassay analytical imprecision and the within subject biological variation) were higher below (14.9% CA 15.3, 15.4% CEA, 25.9% TPA) than above cutoffs (9.6% CA 15.3,6.0% CEA, 19.9% TPA). The variability was similar for CA 15.3 and CEA but higher for TPA. During progression the rates of increase in concentrations were similar for CA 15.3 (0.0257) and CEA (0.0214) and lower than for TPA (0.0346). Our data indicate that criteria for assessment of sequential tumor marker concentrations should consider the marker in question, the steady state variability, the cutoff value, and the rate of increase during disease progression.

Adult↗
PubMed2000

A model for setting analytical quality specifications and design of control for measurements on the ordinal scale.

A model for characterization of measurements on the ordinal scale is presented. It is based on transformation of the calculated fractions (fractiles) of positives from measurements on samples with known concentrations to a probit-natural log (probit-ln) scale. Such measurements could be made by other methods on ratio or difference scales but, for convenience (for example for speed or low cost), are measured on the ordinal scale by "simple" methods. The model is examined, and verified, using three examples from published data (haemoglobin, glucose, and leukocytes) and an external quality assessment survey on measurements of streptococcus. We show that it is possible to obtain reliable analytical quality specifications and to establish design of control systems for measurements on the ordinal scale. It is concluded that the presented probit-ln model for the ordinal scale is a tool which can improve and facilitate (i) characterizing methods with measurements on the ordinal scale, (ii) defining analytical quality specifications, (iii) designing external assessment as well as internal control schemes, (iv) validation of methods with measurements on the ordinal scale according to the analytical quality specifications, and further, (v) reduction of the number of samples required for method validation and the number of replicate measurements needed.

Animals↗
PubMed2000

Need for revisiting the concept of reference values.

The reference values concept has been adopted by health care professionals, including clinical chemists, laboratory scientists, and clinicians and simultaneously by all the official organizations in charge of the establishment of legislation. But the estimation of reference limits, and the evaluation of biological variability need to be improved at the level of the procedures, which are currently too long and too expensive and not feasible easily for all laboratories. The procedures for obtaining reference values, if we follow the original documents, are complex, and that is the main reason that clinical chemists or diagnostic kit manufacturers have not used them systematically. There is clearly a need that scientific societies and international organizations propose practical recommendations: 1) Recommendations to describe methods linked to systematic error. * How to transfer reference limits from one laboratory to another laboratory using different methods? * Should we determine reference limits for each method? * How can we differentiate bias due to the populations from these due to the method? Clear collaborations with manufacturers involved in kits and diagnostic systems are needed. 2) Practical recommendations linked to the reference population. * How to select a homogeneous population? (Careful recommendations on the choice between healthy individuals, blood donors and individuals hospitalised for other diseases should be given.) * How to estimate ethnic differences? * How to define the exclusion and inclusion criteria according to quantity? * How to deal with the question of reference limits for unstable periods, aging or old people particularly, when the difference between aging and disease is very difficult to define? 3) Practical recommendations on the statistical methods to be used. * How to make a good choice of the interquartile interval? Should we use and present only the centiles 2.5 or 97.5, or on the contrary should we give other centiles in addition, for example 5, 10, 75, 80, 85, 90? 4) Practical recommendations linked to the use of the concept of the reference values. * How to make this concept more concrete and to have official definitions which are better understandable and not only abstract? * How to demonstrate the value of using simultaneously reference limits and decision limits, and what does each of these limits bring to results interpretation? * How to improve the presentation of the results? How to give more information on biological variability in the laboratory data, taking into account the scientific validity of their determination? Should we use new information techniques and new communication systems for reaching these objectives? The responses to all these questions could only be provided if there is a concerted effort at the international level. Practical recommendations should be given, which would be very useful for a better understanding and use of reference values by laboratory scientists and clinicians.

Clinical Chemistry Tests↗
PubMed2000

Effect of a new international reference preparation for proteins in human serum (certified reference material 470) on results of the College of American Pathologists Surveys for plasma proteins.

OBJECTIVE: To examine the impact of a new international reference preparation for serum proteins on the among-manufacturer variance in the College of American Pathologists Surveys. DATA SOURCE: The results of the Surveys for the years 1993-1998, supplied by the College of American Pathologists. DATA EXTRACTION AND SYNTHESIS: Mean values for manufacturers' assays were compared for each protein in the quality control samples. Results were separated by the reported reference material from which values for calibrators had been transferred. Standard statistical parameters (means, standard deviations, and coefficients of variation) were calculated from the reported means. CONCLUSIONS: Among-manufacturer coefficients of variation have dropped significantly for most serum proteins since the introduction of the new reference material. Possible reasons for continued differences are discussed.

Albumins↗
PubMed1999

Assessment of biological variation and analytical imprecision of CA 125, CEA, and TPA in relation to monitoring of ovarian cancer.

OBJECTIVES: Changes in serial tumor marker results during monitoring of patients with ovarian cancer are due not only to deterioration or amelioration of the patient's condition, but also to preanalytical sources of variation (CPP), total random analytical error, and within-subject normal biological variation. The aim of the study was to assess (i) the analytical imprecision (CVA) and the average inherent intra- and interindividual biological variation (CVTI and CVG, respectively) for CA 125, CEA, and TPA in a group of healthy women; (ii) the significance of changes in serial results of each marker; and (iii) the index of individuality. METHODS: The study group consisted of 31 healthy women. Sixteen blood samples from each subject were collected in four series over a period of approximately 1 year. Data analysis was based on ANOVA. The index of individuality was calculated as ((CV2A + CV2TI)/CV2G)1/2 and the critical difference for a change between two consecutive concentrations as radical2xZx(CV2P + CV2A + CV2TI)1/2 (Z = 1.65 for unidirectional and 1.96 for bidirectional changes, P </= 0.05). RESULTS: The averages of CVTI and CVG were 35.5 and 70.6% for CA 125, 13.9 and 58.3% for CEA, and 31.4 and 62.5% for TPA, respectively. The indices of individuality were 0.5 for CA 125, 0.3 for CEA, and 0.5 for TPA. The critical differences of CA 125, CEA, and TPA were 84.6, 37.6, and 76. 3%, respectively (Z = 1.65). There were no significant differences in CA 125, CEA, and TPA concentrations between smokers and nonsmokers or in CA 125 and CEA concentrations between pre- and postmenopausal women. Postmenopausal women had higher TPA concentrations than premenopausal (P = 0.015). CONCLUSION: CVA and CVTI contribute considerably to the variation in serial results and should, therefore, be included in the criteria for serum tumor marker assessment during monitoring of patients with ovarian cancer.

Adult↗
PubMed1999

Quality specifications based on analysis of effects of performance on clinical decision-making.

The graphical model for evaluation of analytical requirements for bimodal distributions, based on probit transformation and calculation of false-positive and false-negative results for assumed random and systematic analytical errors, is presented in theory. It is concluded that the bimodal model is an excellent tool for evaluation of the effect of analytical quality and, therefore, useful for estimation of analytical quality specifications for quantities used in specific clinical strategies and situations as well as based on analysis of clinical outcome.

Clinical Laboratory Techniques↗