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PubMed1994

Basal ganglia abnormalities in tardive dyskinesia. Possible relationship with duration of neuroleptic treatment.

The purpose of the present study was to investigate CT abnormalities in tardive dyskinesia (TD) and to search for possible relationships with clinical data. A group of 30 psychotic patients (15 schizophrenic and 15 affective disorder) with TD was compared to a matched group of 30 psychiatric patients without TD and a matched group of 30 healthy controls. CT data were analyzed using two multivariate statistical methods [multidimensional scaling (MDS) and step-wise discriminant analysis]. MDS clearly separated both TD and non-TD groups from the healthy control group on the basis of CT parameters. Caudate left area reduction and left temporal sulci enlargement were the most important parameters that discriminated TD from non-TD patients. Only in TD-patients did caudate left area reduction and left temporal sulci enlargement correlate significantly with cumulative duration of psychiatric hospitalizations. The data of the present study support the findings of structural abnormalities in the caudate nucleus and in the temporal lobe of patients with TD. These abnormalities were especially marked in the left hemisphere. It is assumed that some factor related to longer psychiatric hospital treatment (e.g. neuroleptic intake) could account for these abnormalities.

Adult↗
PubMed1978

An illustration of the technique of canonical analysis.

The use of a multivariate statistical technique, canonical analysis, for the assignment of patients to diagnostic categories is presented. The classification of thyroid status using clinical findings is investigated to exemplify the application of the technique. Emphasis is placed on the stages in the data analysis that are generic in examining any set of medical data for the purpose of automatically classifying patients.

Computers↗
PubMed1996

Codon usage and base composition in Rickettsia prowazekii.

Codon usage and base composition in sequences from the A + T-rich genome of Rickettsia prowazekii, a member of the alpha Proteobacteria, have been investigated. Synonymous codon usage patterns are roughly similar among genes, even though the data set includes genes expected to be expressed at very different levels, indicating that translational selection has been ineffective in this species. However, multivariate statistical analysis differentiates genes according to their G + C contents at the first two codon positions. To study this variation, we have compared the amino acid composition patterns of 21 R. prowazekii proteins with that of a homologous set of proteins from Escherichia coli. The analysis shows that individual genes have been affected by biased mutation rates to very different extents: genes encoding proteins highly conserved among other species being the least affected. Overall, protein coding and intergenic spacer regions have G + C content values of 32.5% and 21.4%, respectively. Extrapolation from these values suggests that R. prowazekii has around 800 genes and that 60-70% of the genome may be coding.

Base Composition↗
PubMed1988

Clinical-pathologic staging of large-bowel cancer. A report of the ASCRS Committee.

After surgical treatment in patients with large-bowel cancer, a prediction about the likelihood for cure remains uncertain despite the availability of several different types of staging systems. A committee of the American Society of Colon and Rectal Surgeons has reviewed the available data and concludes that future assessments of prognosis should be based on a combination of clinical and pathologic prognostic factors, using multivariate statistical techniques for the analysis. Although many important prognostic factors are known, there is much to learn about these and other items before a confident prediction of long-term outcome can be made. An extension of these methods should be possible to assist in prospective clinical decision-making based on clinical and investigational data. Such a system would be of particular value for patients with rectal cancer for whom cost-benefit relationships of alternative treatments can be so controversial. It is concluded that an accepted, standard nomenclature is required to reach both these objectives using large multicenter studies.

Colonic Neoplasms↗
PubMed2000

Preoperative plasma plasminogen activator inhibitor type-1 and serum C-reactive protein levels in patients with colorectal cancer. The RANX05 Colorectal Cancer Study Group.

BACKGROUND: Preoperative plasma plasminogen activator inhibitor-1 (PAI-1) is a prognostic variable in patients with colorectal cancer. It has been suggested, however, that plasma PAI-1 is a nonspecific prognostic parameter similar to the acute-phase reactant C-reactive protein (CRP). In the present study we analyzed the association between plasma PAI-1 and serum CRP in patients scheduled for elective resection of colorectal cancer. In addition, the prognostic value of PAI-1 and CRP was studied in this patient cohort. METHODS: PAI-1 and CRP were analyzed in citrated plasma and serum, respectively, obtained preoperatively from 594 patients. Patients who required preoperative blood transfusion received SAGM blood, in which soluble PAI-1 is not present. None of the patients received pre- or postoperative adjuvant chemotherapy, and all were followed in the outpatient clinic for at least 5 years or until death. The association of PAI-1 and CRP, respectively, with survival was tested using the median value of PAI-1 and the upper normal limit for CRP. Analyses were performed by inclusion of all patients, and in the subgroup of patients, who underwent curative resection. RESULTS: The median follow-up period was 6.8 (5.4-7.9) years. The median value of plasma PAI-1 was 35.8 ng/ml, and values greater than 94 nmol/L identified patients with increased CRP levels. Comparison of the molecules showed that PAI-1 was weakly correlated with CRP (r = .26; P <.0001). Both molecules showed a Dukes independent distribution. In univariate survival analyses high levels of PAI-1 were found associated with poor prognosis and low levels with good prognosis (P = .02, HR: 1.3). Similarly, high levels of CRP were found associated with poor prognosis and low levels with good prognosis (P <.0001, HR: 1.9). In a multivariate statistical analysis including Dukes classification, gender, age, tumor location, perioperative blood transfusion, PAI-1 and CRP, plasma PAI-1 was a dependent prognostic variable, while serum CRP (P <.0001; HR: 1.4; 95% CI: 1.3-1.5) was found to be a Dukes independent prognostic variable. Similar analyses, excluding patients with Dukes' D disease showed serum CRP to be an independent prognostic variable (P <.0001; HR: 1.3: 95% CI: 1.2-1.5). CONCLUSIONS: This study did not show a strong correlation between plasma PAI-1 and serum CRP in patients with colorectal cancer. Serum CRP was found to be a Dukes independent prognostic variable in this patient cohort, and was found to identify a subgroup of curatively resected patients at risk for short survival.

Adult↗
PubMed1994

Application of the exploratory data analysis for evaluating the toxicity of chlorinated phenol derivatives by various cell models.

Exploratory data analysis based on multivariate statistical analysis techniques was introduced as a new approach to expressing the toxicity of chemical substances at the simultaneous acceptance of various cell models. Using principal component analysis and cluster analysis methods the toxicity of chlorinated phenol derivatives on employing some of the cell models (chlorococcal algae, cyanobacteria, bacteria, micromycetes, plant and animal cells) was characterized. The previous empirical experience that the toxicity of chlorinated phenol derivatives will increase with a growing degree of chlorination and that the presence of the methoxy group will cause a lowering of the toxic effect was demonstrated. The relationship between groups of tests used was presented.

Allium↗
PubMed2002

Analysis of river pollution data from low-flow period by means of multivariate techniques: a case study from the oil-shale industry region, northeastern Estonia.

The oil-shale industry has created serious pollution problems in northeastern Estonia. Untreated, phenol-rich leachate from semi-coke mounds formed as a by-product of oil-shale processing is discharged into the Baltic Sea via channels and rivers. An exploratory analysis of water chemical and microbiological data sets from the low-flow period was carried out using different multivariate analysis techniques. Principal component analysis allowed us to distinguish different locations in the river system. The riverine microbial community response to water chemical parameters was assessed by co-inertia analysis. Water pH, COD and total nitrogen were negatively related to the number of biodegradative bacteria, while oxygen concentration promoted the abundance of these bacteria. The results demonstrate the utility of multivariate statistical techniques as tools for estimating the magnitude and extent of pollution based on river water chemical and microbiological parameters. An evaluation of river chemical and microbiological data suggests that the ambient natural attenuation mechanisms only partly eliminate pollutants from river water, and that a sufficient reduction of more recalcitrant compounds could be achieved through the reduction of wastewater discharge from the oil-shale chemical industry into the rivers.

Biodegradation, Environmental↗
PubMedDate not supplied

Study of physiopathological phenomena in dental enamel by neutron activation analysis.

An epithermal neutron activation method is used to determine the concentration of mineral elements in human dental enamel. A large number (252) of samples from ancient and modern origins are analyzed. The analytical results are mathematically processed using a statistical multivariant method. This allows to differentiate deciduous from permanent teeth and decayed from sound enamel. It is also possible to distinguish the teeth coming from two different necropoles. The origin and the localization of determined elements in the mineralized part, or in the aqueous-organic part, of enamel is suggested. Their role, as witnessed in the physiopathological phenomena of dental enamel, is discussed.

Bone Density↗
PubMed1998

[The age correction of survival probabilities in cancer studies].

PURPOSE: Survival of elder oncological patients may depend on the tumor disease, on reasons not related to the underlying disease or simply on patient's age. Therefore patient' age has to be taken into account if the objective of an oncological study is the disease-related survival. Basically, there are 3 different approaches: multivariate statistical modelling, estimation of disease-related survival after censoring of cases with cause of death not due to the tumor disease, and consideration of demographical data in the general population. PATIENTS AND METHODS: Our paper deals with the age correction using the data from the 1986/88 census in Germany. We have written a computer program based on SPSSWIN, which allows an automated age correction. Using clinical data of radiotherapy after surgical therapy of bladder cancer, we illustrate the method. RESULTS: The estimated 5-year-survival using the age correction was--dependent on patient's age in the sample--10% up to 15% higher than the uncorrected rate. In the whole sample of 333 unselected patients, 5-year-survival was corrected from 47% to 59%. In the normal population adjusted for age- and sex-distribution, the expected survival rate was 80%. CONCLUSIONS: The age correction has substantial influence on survival analysis of male patients elder than 60 years and female patients elder than 70 years. It should therefore be used in oncological studies investigating long-term survival of patients in these age-groups.

Adult↗
PubMed1999

Synonymous codon choices in the extremely GC-poor genome of Plasmodium falciparum: compositional constraints and translational selection.

We have analyzed the patterns of synonymous codon preferences of the nuclear genes of Plasmodium falciparum, a unicellular parasite characterized by an extremely GC-poor genome. When all genes are considered, codon usage is strongly biased toward A and T in third codon positions, as expected, but multivariate statistical analysis detects a major trend among genes. At one end genes display codon choices determined mainly by the extreme genome composition of this parasite, and very probably their expression level is low. At the other end a few genes exhibit an increased relative usage of a particular subset of codons, many of which are C-ending. Since the majority of these few genes is putatively highly expressed, we postulate that the increased C-ending codons are translationally optimal. In conclusion, while codon usage of the majority of P. falciparum genes is determined mainly by compositional constraints, a small number of genes exhibit translational selection.

Animals↗
PubMed1998

[Prognostic relevance of vena cava thrombosis in renal cell carcinoma].

The independent prognostic value of neoplastic extension of renal cell cancer (RCC) into the vena cava inferior has been the subject of several investigations reported to date. However, the use of vena cava thrombosis as an independent prognosticator of a patient's long-term survival is still debated. We have therefore correlated the clinical course of 53 patients with RCC and vena cava thrombosis with a control group consisting of 47 patients with renal cell tumors without vena cava thrombosis (follow-up: 1-154 months). The median long-term survival of patients with and without vena cava thrombosis was 32 and 35 months, respectively. Neither the propagation of the tumor into the vena cava (P = 0.391) nor the cranial extension of the thrombosis (P = 0.158)--even in case of propagation into the right atrium--could be identified as parameters of any prognostic value during univariate or multivariate statistical analysis.

Adult↗
PubMed2005

Identification of candidate markers associated with agronomic traits in rice using discriminant analysis.

Plant genetic mapping strategies routinely utilize marker genotype frequencies obtained from progeny of controlled crosses to declare presence of a quantitative trait locus (QTL) on previously constructed linkage maps. We have evaluated the potential of discriminant analysis (DA), a multivariate statistical procedure, to detect candidate markers associated with agronomic traits among inbred lines of rice (Oryza sativa L.). A total of 218 lines originating from the US and Asia were planted in field plots near Alvin, Texas, in 1996 and 1997. Agronomic data were collected for 12 economically important traits, and DNA profiles of each inbred line were produced using 60 SSR and 114 RFLP markers. Model-based methods revealed population structure among the lines. Marker alleles associated with all traits were identified by DA at high levels of correct percent classification within subpopulations and across all lines. Associated marker alleles pointed to the same and different regions on the rice genetic map when compared to previous QTL mapping experiments. Results from this study suggest that candidate markers associated with agronomic traits can be readily detected among inbred lines of rice using DA combined with other methods described in this report.

Asia↗
PubMed2006

Recent treatment history vs clinical characteristics in the prediction of use of outpatient psychiatric services.

BACKGROUND: The use of outpatient psychiatric services has been shown to be a complex function of sociodemographic, clinical, and pathway variables. The relative contribution of each variable or groups of variables in explaining the variability in the use of outpatient psychiatric services, however, remains poorly documented. METHODS: The subjects (N=382) were all patients admitted to an outpatient psychiatric clinic serving mostly a minority and low-income population. The charts of the patients were reviewed for sociodemographic, clinical, and pathway variables and the number of outpatient visits. The pathway variables studied were source of referral and most recent psychiatric treatment service used. Both bivariate and multivariate statistics were used to analyze the data. RESULTS: Pathway variables were better predictors of the number of outpatient visits than clinical variables after controlling for sociodemographic variables. CONCLUSION: Patients recently hospitalized may be sicker or have fewer social supports and therefore require more outpatient visits. Recent treatment history stands out as an important variable in the prediction of the number of outpatient mental health visits. More research is needed to examine the influence of pathway variables on treatment decisions.

Adult↗
PubMed2000

Screening for prolonged fatigue syndromes: validation of the SOFA scale.

BACKGROUND: The identification of syndromes characterised by persistent and disabling mental and/or physical fatigue is of renewed interest in psychiatric epidemiology. This report details the development of two specific instruments: the SOFA/CFS for identification of patients with chronic fatigue syndrome (CFS) in specialist clinics and the SOFA/GP for identification of prolonged fatigue syndromes (PFS) in community and primary care settings. METHODS: Patients with clinical diagnoses of CFS (n = 770) and consecutive attenders at primary care (n = 1593) completed various self-report questionnaires to assess severity of current fatigue-related symptoms and other common somatic and psychological symptoms. Quality receiver operating characteristic curves were used to derive appropriate cut-off scores for each of the instruments. Comparisons with other self-report measures of anxiety, depression and somatic distress are noted. Various multivariate statistical modelling techniques [latent class analysis (LCA), longitudinal LCA] were utilised to define the key features of PFS and describe its longitudinal characteristics. RESULTS: The SOFA/CFS instrument performs well in specialist samples likely to contain a high proportion of patients with CFS disorders. Cut-off scores of either 1/2 or 2/3 can be used, depending on whether the investigators wish to preferentially emphasise false-negatives or false-positives. Patients from these settings can be thought of as consisting not only of those with a large number of unexplained medical symptoms, but also those with rather specific musculoskeletal and pain syndromes. The SOFA/GP instrument has potential cut-off scores of 1/2 or 2/3, with the latter preferred as it actively excludes all non-PFS cases (sensitivity = 81%, specificity = 100%). Patients with these syndromes in the community represent broader sets of underlying classes, with the emergence of not only musculoskeletal and multisymptomatic disorders, but also persons characterised by significant cognitive subjective impairment. Twelve-month longitudinal analyses of the primary care sample indicated that the underlying class structure was preserved over time. Comparisons with other measures of psychopathology indicated the relative independence of these constructs from conventional notions of anxiety and depression. CONCLUSIONS: The SOFA/GP instrument (which is considerably modified from the SOFA/CFS in terms of anchor points for severity and chronicity) is preferred for screening in primary care and community settings. Patients with PFS and CFS present a range of psychopathology that differs in its underlying structure, cross-sectionally and longitudinally, from coventional notions of anxiety and depression.

Adult↗
PubMed2004

Tryptophan-NAD+ pathway metabolites as putative biomarkers and predictors of peroxisome proliferation.

The present study was designed to provide further information about the relevance of raised urinary levels of N-methylnicotinamide (NMN), and/or its metabolites N-methyl-4-pyridone-3-carboxamide (4PY) and N-methyl-2-pyridone-3-carboxamide (2PY), to peroxisome proliferation by dosing rats with known peroxisome proliferator-activated receptor alpha (PPARalpha) ligands [fenofibrate, diethylhexylphthalate (DEHP) and long-chain fatty acids (LCFA)] and other compounds believed to modulate lipid metabolism via PPARalpha-independent mechanisms (simvastatin, hydrazine and chlorpromazine). Urinary NMN was correlated with standard markers of peroxisome proliferation and serum lipid parameters with the aim of establishing whether urinary NMN could be used as a biomarker for peroxisome proliferation in the rat. Data from this study were also used to validate a previously constructed multivariate statistical model of peroxisome proliferation (PP) in the rat. The predictive model, based on 1H nuclear magnetic resonance (NMR) spectroscopy of urine, uses spectral patterns of NMN, 4PY and other endogenous metabolites to predict hepatocellular peroxisome count. Each treatment induced pharmacological (serum lipid) effects characteristic of their class, but only fenofibrate, DEHP and simvastatin increased peroxisome number and raised urinary NMN, 2PY and 4PY, with simvastatin having only a transient effect on the latter. These compounds also reduced mRNA expression for aminocarboxymuconate-semialdehyde decarboxylase (ACMSDase, EC 4.1.1.45), the enzyme believed to be involved in modulating the flux of tryptophan through this pathway, with decreasing order of potency, fenofibrate (-10.39-fold) >DEHP (-3.09-fold) >simvastatin (-1.84-fold). Of the other treatments, only LCFA influenced mRNA expression of ACMSDase (-3.62-fold reduction) and quinolinate phosphoribosyltransferase (QAPRTase, EC 2.4.2.19) (-2.42-fold) without any change in urinary NMN excretion. Although there were no correlations between urinary NMN concentration and serum lipid parameters, NMN did correlate with peroxisome count (r2=0.63) and acyl-CoA oxidase activity (r2=0.61). These correlations were biased by the large response to fenofibrate compared to the other treatments; nevertheless the data do indicate a relationship between the tryptophan-NAD+ pathway and PPARalpha-dependent pathways, making this metabolite a potentially useful biomarker to detect PP. In order to strengthen the observed link between the metabolites associated with the tryptophan-NAD+ pathway and more accurately predict PP, other urinary metabolites were included in a predictive statistical model. This statistical model was found to predict the observed PP in 26/27 instances using a pre-determined threshold of 2-fold mean control peroxisome count. The model also predicted a time-dependent increase in peroxisome count for the fenofibrate group, which is important when considering the use of such modelling to predict the onset and progression of PP prior to its observation in samples taken at autopsy.

Animals↗
PubMed2002

Comparative analysis of ancient ceramics by neutron activation analysis, inductively coupled plasma-optical-emission spectrometry, inductively coupled plasma-mass spectrometry, and X-ray fluorescence.

The accurate measurement of the maximum possible number of elements in ancient ceramic samples is the main requirement in provenance studies. For this reason neutron activation analysis (NAA) and X-ray fluorescence (XRF) have been successfully used for most of the studies. In this work the analytical performance of inductively coupled plasma-optical-emission spectrometry (ICP-OES) and inductively coupled plasma-mass spectrometry (ICP-MS) has been compared with that of XRF and NAA for the chemical characterization of archaeological pottery. Correlation coefficients between ICP techniques and XRF or NAA data were generally better than 0.90. The reproducibility of data calculated on a sample prepared and analysed independently ten times was approximately 5% for most of the elements. Results from the ICP techniques were finally evaluated for their capacity to identify the same compositional pottery groups as results from XRF and NAA analysis, by use of multivariate statistics.

Journal Article↗
PubMed2003

A simple method for automated pretreatment of usable chromatographic profiles in pattern-recognition procedures: application to HPAEC-PAD chromatograms of honeys.

In this article a simple method for automated pretreatment of chromatograms is presented. The resulting data matrix can be used as input for multivariate statistical analysis. Application of this method to high-performance anion-exchange chromatography-pulsed amperometric detection (HPAEC-PAD) chromatograms of honeys before canonical discriminant analysis results in very good performance in the data reduction with regard to the preservation of the original information content of the data. This pretreatment of the chromatogram allows for the use of all the peaks corresponding to the sugars present in the sample. This results in a high-quality discrimination between honeys of various types. A versatile program has been developed to apply this method. This serves as a starting point for software suited for food characterization and adulteration detection by semi-automatic pattern recognition applied to chromatographic analysis.

Journal Article↗
PubMed2004

Element content and element correlations in Chinese human liver.

The amounts of the 19 elements As, Br, Ca, Cd, Ce, Co, Cr, Cs, Fe, K, La, Mo, Na, Rb, Sb, Sc, Se, Sm, and Zn in 92 lyophilized autopsy human liver samples from normal subjects have been analyzed by instrumental neutron-activation analysis (INAA). For intercomparison and quality control ten samples were independently analyzed in two institutes, the Institute of High Energy Physics in China and the "Jozef Stefan" Institute in Slovenia. Most of the element contents determined by the two institutes were in quite good agreement, even though different experimental conditions were applied, indicating the reliability of the analytical results. Analysis of the chemical species of mercury present in the ten liver samples was also performed in Slovenia. Possible differences between the element content of male and female liver samples were studied by means of Student's t-test, but significant differences were found only for Ce, Co, Fe, La, Mo, and Zn. The results obtained were also compared with those reported from other areas of the world; no appreciable differences were observed. Correlation among the various elements in the human liver samples was studied using multivariate statistics. It was found that there was relatively close correlation between some elements, for example As-Fe, Ca-Fe, Cd-Co, Cd-Zn, Mo-Zn, Co-Se, Cs-Rb, Br-Rb, Sc-Sm, La-Sm, La-Ce, etc.; these correlations could be rationally explained by the similarity of the electronic structures of the elements and/or their physiological functions in the human body.

China↗