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Results for “Multiple Classification Analysis”

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PubMed2001

Prevalence of obstructive lung diseases and respiratory symptoms in relation to living environment and socio-economic group.

We wanted to test whether living environment, occupation and social position are risk factors for asthma and chronic bronchitis/emphysema (CBE). The prevalence of bronchial asthma, CBE, respiratory symptoms and smoking habits in a random sample of 12,071 adults aged 20-59 years was assessed in a postal survey with a slightly modified questionnaire previously used in central and northern Sweden (The OLIN studies). Occupation was coded according to a socio-economic classification system. Six different living environment areas were defined; city-countryside, seaside-not seaside and living close to heavy traffic-not living close to heavy traffic. Multiple logistic regression analysis (forward conditional) was applied to estimate the association between the proposed set of risk factors and self-reported obstructive lung diseases and lower respiratory symptoms controlling for age, gender and smoking. After two reminders, the response rate was 70.1% (n=8469); 33.8% of the responders were smokers. In all, 469 subjects (5.5%) stated that they had asthma and 4.6% reported CBE. Besides smoking, which was a risk for both asthma and CBE, there were different risk patterns for self-reported asthma and CBE. In the economically active population there was a tendency that CBE was more common among 'unskilled and semi-skilled workers'. This fact was further emphasized when the population was merged into the two groups 'low social position' and 'middle/high social position', with 'low social position' as a risk for CBE (OR=1.35, 95% CI=1.06-1.72). No social risk factors were identified for asthma. Living close to heavy traffic was a risk factor for asthma (OR=1.29, 95% CI=1.02-1.62) but not for CBE. Apart from this no living environmental risk factors for obstructive pulmonary diseases were identified. Asthma symptoms and long-standing cough were more common among those subjects living close to heavy traffic compared to those not living close to heavy traffic. To conclude, low social position was a risk factor for CBE and living close to heavy traffic was a risk factor for asthma.

Adult↗

PubMed2006

Membership in genetic groups predicts Alzheimer disease.

The multiple polymorphisms contributing to Alzheimer disease (AD) have been difficult to identify. Three essentially sufficient risk sets were found using a fuzzy latent classification statistical model; that is, grade-of-membership analysis, and genotypes for APOE, APOCI, LDLr, cystatin C, and cathepsin D (180 cases, 120 controls). These were: (a) CST3:GA and CTSD:CT; (b) APOE44 and LDLr8:GG and LDLr13:TT; and (c) APOE34 and LDLr13:TC. Consonance with one of the groups and high aggregate membership carried >800-fold elevated risk for AD. The absence of these combinations defined low risk. APOE3/- with heterozygous promoter and receptor genotypes predicted long life without dementia.

Aged↗

PubMedDate not supplied

The relationship between self-efficacy, attitudes, intake compared to others, consumption, and stages of change related to fruit and vegetables.

PURPOSE: This study examined whether eating practices and psychosocial factors differed across stages of change for fruit and vegetables. DESIGN: Data were collected using a self-administered written survey among a convenience sample of 739 Dutch adults. Response rate was 92%. SETTING: Data were collected as part of the baseline assessment for a nutrition intervention study. MEASURES: Fruit and vegetable intake was measured as self-reported consumption with a validated eight-item food frequency questionnaire. Psychosocial variables were measured with six items on bipolar seven-point scales and stage-of-change classifications were based on separate four-item algorithms for fruits and vegetables. Differences in psychosocial factors and consumption were analyzed using one-way analysis of variance with Scheffé's multiple-comparison test. RESULTS: Significant differences were found between stages of change in dietary intake, attitudes, self-efficacy, and judgment of one's own intake compared to others. Attitudes were most positive in preparation and action and least positive in precontemplation. Intake and self-efficacy were more positive in action/maintenance than in pre-action stages. CONCLUSIONS: The findings suggest that nutrition education aimed at encouraging higher intake of fruits and vegetables might be most effective if it is stage-tailored. Messages to influence attitudes about fruits and vegetables are likely to affect people in precontemplation, and self-efficacy information to increase confidence in overcoming barriers to consumption is likely to be effective with persons in contemplation and preparation stages.

Adult↗

PubMed2000

Asymptomatic bile duct stones: selection criteria for intravenous cholangiography and/or endoscopic retrograde cholangiography prior to laparoscopic cholecystectomy.

OBJECTIVE: Routine use of endoscopic retrograde cholangiography (ERC) and/or intravenous cholangiography (IVC) or magnetic resonance cholangiopancreatography (MRCP) before laparoscopic cholecystectomy (LC) is not cost-effective. The objective of this study was to determine precise and easily applicable criteria to select patients who should undergo IVC, MRCP and/or ERC before LC. DESIGN AND METHODS: Prospectively collected data from 74 consecutive patients who were diagnosed with asymptomatic common bile duct stones (CBDS) before undergoing LC, were compared with data from 74 matched controls without CBDS. Using the chi2 test, those variables were identified which were significantly related to the presence of CBDS. These were inserted into a logistic multiple regression model and, by means of conditional regression analysis, each variable was assigned a score from -2 to +4 proportional to the odds ratio. By adding up the scores obtained, a classification was made as to high, medium and low CBDS risk. RESULTS: As a result, 51 patients were found to be low-risk cases, 53 medium-risk and 44 high-risk. Assuming no further assessment of the bile duct needed to be carried out in low-risk patients, an IVC or MRCP in those at medium risk and an ERC in those at high risk, a calculation was made of the positive predictive value and the sensitivity of the system proposed. The positive predictive value and the sensitivity of the procedure were calculated as being greater than 90%. CONCLUSIONS: This predictive system for the risk of CBDS allows the selective use of ERC, IVC and MRCP to ensure a high yield and improve cost-effectiveness. A controlled prospective study will verify these results.

Adolescent↗

PubMed2005

Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.

MOTIVATION: Hierarchical and relocation clustering (e.g. K-means and self-organizing maps) have been successful tools in the display and analysis of whole genome DNA microarray expression data. However, the results of hierarchical clustering are sensitive to outliers, and most relocation methods give results which are dependent on the initialization of the algorithm. Therefore, it is difficult to assess the significance of the results. We have developed a consensus clustering algorithm, where the final result is averaged over multiple clustering runs, giving a robust and reproducible clustering, capable of capturing small signal variations. The algorithm preserves valuable properties of hierarchical clustering, which is useful for visualization and interpretation of the results. RESULTS: We show for the first time that one can take advantage of multiple clustering runs in DNA microarray analysis by collecting re-occurring clustering patterns in a co-occurrence matrix. The results show that consensus clustering obtained from clustering multiple times with Variational Bayes Mixtures of Gaussians or K-means significantly reduces the classification error rate for a simulated dataset. The method is flexible and it is possible to find consensus clusters from different clustering algorithms. Thus, the algorithm can be used as a framework to test in a quantitative manner the homogeneity of different clustering algorithms. We compare the method with a number of state-of-the-art clustering methods. It is shown that the method is robust and gives low classification error rates for a realistic, simulated dataset. The algorithm is also demonstrated for real datasets. It is shown that more biological meaningful transcriptional patterns can be found without conservative statistical or fold-change exclusion of data. AVAILABILITY: Matlab source code for the clustering algorithm ClusterLustre, and the simulated dataset for testing are available upon request from T.G. and O.W.

Algorithms↗

PubMed2004

Classification of HIV-1-mediated neuronal dendritic and synaptic damage using multiple criteria linear programming.

The ability to identify neuronal damage in the dendritic arbor during HIV-1-associated dementia (HAD) is crucial for designing specific therapies for the treatment of HAD. To study this process, we utilized a computer-based image analysis method to quantitatively assess HIV-1 viral protein gp120 and glutamate-mediated individual neuronal damage in cultured cortical neurons. Changes in the number of neurites, arbors, branch nodes, cell body area, and average arbor lengths were determined and a database was formed (http://dm.ist.unomaha. edu/database.htm). We further proposed a two-class model of multiple criteria linear programming (MCLP) to classify such HIV-1-mediated neuronal dendritic and synaptic damages. Given certain classes, including treatments with brain-derived neurotrophic factor (BDNF), glutamate, gp120 or non-treatment controls from our in vitro experimental systems, we used the two-class MCLP model to determine the data patterns between classes in order to gain insight about neuronal dendritic damages. This knowledge can be applied in principle to the design and study of specific therapies for the prevention or reversal of neuronal damage associated with HAD. Finally, the MCLP method was compared with a well-known artificial neural network algorithm to test for the relative potential of different data mining applications in HAD research.

Animals↗

PubMed2006

Circadian clocks are resounding in peripheral tissues.

Circadian rhythms are prevalent in most organisms. Even the smallest disturbances in the orchestration of circadian gene expression patterns among different tissues can result in functional asynchrony, at the organism level, and may to contribute to a wide range of physiologic disorders. It has been reported that as many as 5%-10% of transcribed genes in peripheral tissues follow a circadian expression pattern. We have conducted a comprehensive study of circadian gene expression on a large dataset representing three different peripheral tissues. The data have been produced in a large-scale microarray experiment covering replicate daily cycles in murine white and brown adipose tissues as well as in liver. We have applied three alternative algorithmic approaches to identify circadian oscillation in time series expression profiles. Analyses of our own data indicate that the expression of at least 7% to 21% of active genes in mouse liver, and in white and brown adipose tissues follow a daily oscillatory pattern. Indeed, analysis of data from other laboratories suggests that the percentage of genes with an oscillatory pattern may approach 50% in the liver. For the rest of the genes, oscillation appears to be obscured by stochastic noise. Our phase classification and computer simulation studies based on multiple datasets indicate no detectable boundary between oscillating and non-oscillating fractions of genes. We conclude that greater attention should be given to the potential influence of circadian mechanisms on any biological pathway related to metabolism and obesity.

Adipose Tissue↗

PubMed2003

Nicotine-dependence symptoms are associated with smoking frequency in adolescents.

BACKGROUND: Although many sociodemographic and psychosocial factors have been identified as related to adolescent smoking, few studies have examined the role of nicotine-dependence (ND) symptoms. The objective was to study the association between ND symptoms and smoking status among adolescents in the early stages of the smoking onset process. METHODS: The McGill University Study on the Natural History of Nicotine Dependence is an ongoing 6-year prospective investigation of the natural history of ND among 1267 grade 7 students in ten Montreal high schools. The baseline response was 55.4%. Subjects for this cross-sectional analysis of baseline data, collected in 1999, included 241 past 3-month smokers (mean age [SD]=13.0+/-0.7 years at baseline). ND symptoms were measured in five indicators, including a measure based on the criteria for tobacco dependence in the International Classification of Diseases-10th Revision (ICD-10), the Hooked on Nicotine Checklist, and three symptom clusters (withdrawal, self-medication, and ND/cravings symptoms). The association between ND symptom indicators and each of sporadic, monthly, weekly, and daily smoking relative to less frequent smoking was investigated in multiple logistic regression analysis. RESULTS: Despite low cigarette exposure, 16.6% (95% confidence interval [CI], 11.9%-21.3%) of past 3-month smokers were tobacco dependent. The proportion increased from 0%, 3.1% (95% CI, 0.0%-9.2%), and 4.6% (95% CI, 0.2%-9.0%) among triers, sporadic smokers, and monthly smokers, respectively, to 19.4% (95% CI, 5.5%-33.3%) and 65.9% (95% CI, 51.9%-79.9%) among weekly and daily smokers, respectively. ND/cravings consistently distinguished each smoking category from less frequent smokers; the odds ratios (95% CI) for ND/cravings symptoms were 1.16 (0.99-1.35) in sporadic smokers; 1.17 (1.06-1.29) in monthly smokers; 1.34 (1.19-1.50) in weekly smokers; and 1.39 (1.22-1.59) in daily smokers. CONCLUSIONS: These data challenge current smoking onset models, which suggest that ND develops only after several years of heavy or daily smoking. ND symptoms are associated, at least cross-sectionally, with increased smoking in adolescents. To increase the likelihood of being effective, tobacco-control programs for children and adolescents will need to take early ND symptoms into account.

Adolescent↗

PubMed2000

Analysis of occlusal variables, dental attrition, and age for distinguishing healthy controls from female patients with intracapsular temporomandibular disorders.

STATEMENT OF PROBLEM: Confusion about the relationship of occlusion to temporomandibular disorders (TMD) persists. PURPOSE: This study attempted to identify occlusal and attrition factors plus age that would characterize asymptomatic normal female subjects. METHODS AND MATERIAL: A total of 124 female patients with intracapsular TMD were compared with 47 asymptomatic female controls for associations to 9 occlusal factors, 3 attrition severity measures, and age using classification tree, multiple stepwise logistic regression, and univariate analyses. Models were tested for accuracy (sensitivity and specificity) and total contribution to the variance. RESULTS: The classification tree model had 4 terminal nodes that used only anterior attrition and age. "Normals" were mainly characterized by low attrition levels, whereas patients had higher attrition and tended to be younger. The tree model was only moderately useful (sensitivity 63%, specificity 94%) in predicting normals. The logistic regression model incorporated unilateral posterior crossbite and mediotrusive attrition severity in addition to the 2 factors in the tree, but was slightly less accurate than the tree (sensitivity 51%, specificity 90%). When only occlusal factors were considered in the analysis, normals were additionally characterized by a lack of anterior open bite, smaller overjet, and smaller RCP-ICP slides. The log likelihood accounted for was similar for both the tree (pseudo R(2) = 29.38%; mean deviance = 0.95) and the multiple logistic regression (Cox Snell R(2) = 30.3%, mean deviance = 0.84) models. CONCLUSION: The occlusal and attrition factors studied were only moderately useful in differentiating normals from TMD patients.

Adolescent↗

PubMed1991

Impact of chromosomal translocations on prognosis in childhood acute lymphoblastic leukemia.

The presence of a chromosomal translocation in the leukemic cells at diagnosis of acute lymphoblastic leukemia (ALL) in children is associated with a high risk for treatment failure. We have reexamined the relationship between translocations and prognosis in 146 children with ALL who received risk-based therapy such that high-risk patients were treated with intensive drug schedules. In univariate analysis, multiple factors were associated with a relatively poor event-free survival (EFS) including age less than 2 years or greater than 10 years (combined group), WBC count greater than 10 x 10(9)/L, French-American-British (FAB) morphologic classification L2, absence of common ALL antigen (CALLA, CD10) expression, absence of hyperdiploidy with a chromosome number of 50 to 60, and presence of the specific translocations t(4; 11)(q21;q23) or t(9;22)(q34;q11) (combined group). However, there was no disadvantage with respect to EFS in patients with translocations compared with those who lacked translocations (73% at 4 years in both groups). Furthermore, when patients with specific cytogenetic abnormalities for which the prognostic significance has been well established (hyperdiploid 50 to 60, t(4;11), and t(9;22] were removed from the analysis, the remaining group with other translocations had a better EFS than the remaining group lacking translocations, although this was not statistically significant (81% v 65% at 4 years, P = .24). In a multivariate analysis, a model including WBC count and FAB classification was the strongest predictor of EFS. The presence or absence of translocations was not an independent predictor of EFS and did not contribute to the ability of any model to predict EFS. In conclusion, when effective intensive therapy is used to treat childhood ALL with high-risk clinical features, categorization of patients on the basis of chromosomal translocations without attention to the specific abnormality is not useful as a prognostic factor.

Adolescent↗

PubMedDate not supplied

A novel method for GPCR recognition and family classification from sequence alone using signatures derived from profile hidden Markov models.

G-protein coupled receptors (GPCRs) constitute a broad class of cell-surface receptors, including several functionally distinct families, that play a key role in cellular signalling and regulation of basic physiological processes. GPCRs are the focus of a significant amount of current pharmaceutical research since they interact with more than 50% of prescription drugs, whereas they still comprise the best potential targets for drug design. Taking into account the excess of data derived by genome sequencing projects, the use of computational tools for automated characterization of novel GPCRs is imperative. Typical computational strategies for identifying and classifying GPCRs involve sequence similarity searches (e.g. BLAST) coupled with pattern database analysis (e.g. PROSITE, BLOCKS). The diagnostic method presented here is based on a probabilistic approach that exploits highly discriminative profile Hidden Markov Models, excised from low entropy regions of multiple sequence alignments, to derive potent family signatures. For a given query, a P-value is obtained, combining individual hits derived from the same family. Hence a best-guess family membership is depicted, allowing GPCRs' classification at a family level, solely using primary structure information. A web-based version of the application is freely available at URL: http:/bioinformatics.biol.uoa.gr/PRED-GPCR.

Databases, Factual↗

PubMed2004

Stereotactic radiosurgical treatment in 103 patients for 153 cerebral melanoma metastases.

PURPOSE: To report on the outcome of patients with melanoma brain metastases treated with stereotactic radiosurgery (SRS). PATIENTS AND METHODS: One hundred three patients with 153 intracranial melanoma metastases consecutively underwent Linac-based SRS between November 1991 and October 2001. The Kaplan-Meier method, univariate comparisons with log-rank test, and multivariate analyses with classification and regression tree models were performed. Calculations were based on last imaging date rather than the date of the last visit. RESULTS: Median age was 51 years (range, 18-93 years). Median Karnofsky performance status was 90. Sixty-one patients (59%) had single brain metastasis at presentation. Treatment sequence was SRS alone (61 patients), SRS + whole-brain radiotherapy (WBRT) (12 patients), and salvage SRS after WBRT (30 patients). The median tumor volume was 1.9 cm(3) (range, 0.06-22.3 cm(3)). The median SRS minimum peripheral dose and isodose was 18 Gy (range, 10-24 Gy) and 85% (range, 60%-100%), respectively. The median follow-up was 6 months for all patients and 13 months (range, 2-46 months) for patients alive at the time of analysis. The 1-year local control (LC) for all patients treated with SRS was 49%. Among the patients treated with initial SRS alone, the 1-year LC was better for patients with tumors < or =2 cm(3) than with tumors >2 cm(3): 75.2% vs. 42.3% (p < 0.05). The 1-year distant brain metastasis-free survival incidence was 14.7% for the 73 patients receiving either initial SRS alone or SRS +WBRT. The initial number of brain lesions (single vs. multiple) was the only factor with a significant effect on distant brain metastasis-free survival at 1 year: 23.5% for single metastases and 0% for multiple lesions (p < 0.05). The 1-year overall survival was 25.2%. Stratification by Score Index for Radiosurgery (SIR) revealed a significant effect on survival, which was 29% at 1 year for SIR >6 and 10% for SIR <==6 (relative hazard ratio, 2.1; p < 0.05) in classification and regression-tree multivariate analysis involving age, Karnofsky performance status, primary tumor control, tumor volume, SRS dose, SIR (>6 vs. < or =6), and systemic disease status. CONCLUSIONS: Initial SRS alone was an effective treatment modality for smaller cerebral melanoma metastases, achieving a 75% incidence of 1-year LC for < or =2 cm(3) single brain metastases and should be considered in patients with SIR >6. The role of WBRT in melanoma brain metastases cannot be addressed, owing to retrospective bias toward administering this treatment to patients with more aggressive disease. A prospective study is needed to assess the role of WBRT in patients with melanoma brain metastasis.

Adolescent↗

PubMed2004

Functional gene expression analysis of clonal plasma cells identifies a unique molecular profile for light chain amyloidosis.

Immunoglobulin light chain amyloidosis (AL) is characterized by a clonal expansion of plasma cells within the bone marrow. Gene expression analysis was used to identify a unique molecular profile for AL using enriched plasma cells (CD138+) from the bone marrow of 24 patients with AL and 28 patients with multiple myeloma (MM) and 6 healthy controls. Class prediction analysis (PAM) revealed a subset of 12 genes, which included TNFRSF7 (CD27), SDF-1, and PSMA2, that distinguished between these 2 groups with an estimated and observed accuracy of classification of 92%. This model was validated with an independent dataset of 11 patients with AL and 12 patients with MM with 87% accuracy. Differential expression for the most discriminant genes in the 12-gene subset was validated using quantitative real-time polymerase chain reaction and protein expression analysis, which upheld the observations from the micro-array expression data. Functional analyses using a novel network mapping software revealed a number of potentially significant pathways that were dysregulated in patients with AL, with those regulating proliferation, apoptosis, cell signaling, chemotaxis, and migration being substantially represented. This study provides new insight into the molecular profile of clonal plasma cells and its functional relevance in the pathogenesis of light chain amyloidosis.

Aged↗

PubMed2001

Elevated serum levels of soluble CD44 can identify a subgroup of patients with early B-cell chronic lymphocytic leukemia who are at high risk of disease progression.

BACKGROUND: Although soluble CD44 (sCD44) is considered a reliable marker of both tumor burden and disease activity, to the authors' knowledge, its predictive and prognostic value in B-cell chronic lymphocytic leukemia (CLL) has not been addressed to date. METHODS: The authors studied 94 previously untreated CD5-positive B-cell CLL patients whose sera was taken at the time of diagnosis, stored at - 70 degrees C, and analyzed for the presence of standard sCD44 (sCD44(std)) using a commercial enzyme-linked-immunoadsorbent-assay. The impact of the sCD44 level on the clinical outcome of the disease was assessed in 74 patients with early CLL (61 Binet Stage A patients and 13 asymptomatic Stage B patients). Because the time to disease progression appears to predict the survival time of patients with CLL, it was used as a surrogate endpoint in the current study. RESULTS: Patients with higher than median sCD44 levels (i.e., 642 ng/mL) had a more advanced clinical disease stage (P = 0.04), higher peripheral blood lymphocytosis (P = 0.006), and increased circulating levels of either lactate dehydrogenase (P = 0.01) or beta(2)-microglobulin (P < 0.0001). In univariate analysis, seven of the nine parameters investigated predicted progression-free survival (PFS). In a stepwise multiple regression analysis, only 2 parameters provided independent prognostic information regarding PFS: Rai substages (0 vs. I-II) (P = 0.002) and serum sCD44 levels > 642 ng/mL (P = 0.01). When added to the classification of smoldering CLL versus nonsmoldering CLL, the sCD44 level distinguished two groups within the group of nonsmoldering Stage A patients; patients with a sCD44 level > 642 ng/mL had a median PFS of 36 months, whereas patients with a sCD44 level < 642 ng/mL experienced a longer PFS (median had not been reached at 8 years of follow-up). Furthermore, serum levels of sCD44 defined two different patterns of PFS within the group of patients with Rai disease Stages I-II (P = 0.01). CONCLUSIONS: An increased serum level of sCD44 can be considered to be a promising parameter for predicting the risk of disease progression in patients with early CLL. Furthermore, sCD44 helps to refine the prognostic stratification of patients with either nonsmoldering CLL or Rai Stage I-II disease, thus enabling the identification of different prognostic subgroups in patients with early CLL.

Adult↗

PubMed1988

Prognostic factors in chronic myelodysplastic syndromes: a multivariate analysis in 107 cases.

A retrospective multivariate analysis of 37 clinical, biochemical, and hematological data was performed in 107 cases of primary myelodysplastic syndromes (MDS) in order to recognize their prognostic significance. The most important individual variables, isolated in a previous univariate analysis, were placed in a multiple regression modeling procedure to identify major significant prognostic factors. Multivariate analysis tends to identify prognostic variables containing significant independent predictive information. Characteristics were examined on both continuous and binary bases. The FAB classification was the first parameter entered in regression equations on both models, followed by platelet count, hemoglobin level, and circulating erythroblasts in the binary model, and by hemoglobin level, systemic symptoms, platelet count, age, and dyserythropoiesis in the continuous model. Our analysis confirms FAB classification as the main prognostic factor in MDS, supports the previously noted predictive value of platelet count, hemoglobin level, and age, and recognises the importance of circulating erythroblasts, systemic symptoms, and dyserythropoiesis as prognostic characteristics in MDS.

Adult↗

PubMed2003

Application of rough sets analysis to identify polluted aquatic sites based on a battery of biomarkers: a comparison with classical methods.

The evaluation of toxicological effects at the cellular and molecular levels in organisms are often used to determine sites subjected to contamination problems that pose a threat to the long-term survival of organisms. However, the integration of multiple measurements on the health status of organisms into a model for site discrimination is challenging. This study compares two discrimination methods which are based on rule inference: rough sets (RS) analysis and classification trees (CT) with classical multivariate discriminant analysis (DA). Site classification was attempted with six biomarkers of effects: metallothionein levels, lipid peroxidation, DNA damage, levels of lipophosphoproteins (i.e., vitellins), phagocytosis activity and haemocyte cell viability on clam (Mya arenaria) populations from the Saguenay River fjord (Quebec, Canada). Rule based methods have the advantage of complete independence from data distribution constraints in contrast to the classification methods from multivariate analysis that are more commonly used in ecotoxicology. Results show that RS and CT gave better classifications than DA because they do not require strong distributional assumptions. Moreover, RS provided classification rules that could identify the most important biomarker(s) for site discrimination. RS and CT were shown to be simple and efficient methods for classifying multivariable ecotoxicological data. This methodology would be especially useful when freedom from distributional assumptions is required.

Animals↗

PubMed1999

Clinical, radiographic and HLA associations as markers for different patterns of psoriatic arthritis.

OBJECTIVE: The aim of this study was to examine whether the five clinical forms of psoriatic arthritis (PsA) identified by Moll and Wright (Semin Arthritis Rheum 1973;3:55-78) could be clearly distinguished, especially as the disease evolved over time, to analyse whether radiographic features or HLA associations could define subsets with greater precision and to identify predictors of disease outcome. METHODS: Seventy-three patients (37 males and 36 females) were followed for a median time of 8 yr (range 1-16 yr). A standard clinical protocol was used to assess patients at each visit and two clinical scores. based on the joint areas involved, were defined to evaluate the mode of onset and the evolution of arthritis. X-ray films of the hands, feet and sacroiliac joints were taken and the patients were divided into two categories according to the presence or absence of erosions and an X-ray erosion score was also used. Three classification methods were used to define the different clinical subsets. HLA-A, B and DR antigens were tested by standard microlymphocytotoxicity assays. A multiple linear regression model was used in the statistical analysis. RESULTS: The five classical clinical subsets defined by Moll and Wright did not remain since distinct peripheral arthritis patterns tended to evolve over time. Only two discrete groups were identified, axial disease (AD) (sacroilitis with or without peripheral arthritis) in 29% of cases and peripheral disease (PD) without sacroilitis in 71%. AD was positively associated with the duration of arthritis (P < 0.04), presence of mutilation (P < 0.02) and the joint area score over disease evolution (JASE) (P < 0.02). There were erosions in 71% of the patients. Erosions correlated with the presence of mutilation (P < 0.007) and with the JASE (P < 0.0005). HLA-B27 was found in 43% of patients with AD, but only in 11% of PD patients (P < 0.01). No other clear HLA correlations were found. CONCLUSIONS: Despite the relatively small number of patients, this longitudinal study suggests that only two clinical subsets can be clearly defined in PsA, AD and PD; these are primarily determined on clinical grounds although HLA-B27 is strongly associated with AD. The evolution of PD pattern with time means that narrower peripheral arthritis subsets are of little clinical use.

Activities of Daily Living↗

PubMed1982

Detection of faking on the Tennessee Self-Concept Scale.

The Tennessee Self Concept Scale (TSCS) was administered to a subject of 352 university students under standard administration conditions. Four other subsets responded under conditions designed to induce moderate and maximum faking in both positive and negative directions. Members of a sixth subset ("Sleepers") responded irrelevantly to from 10% to 50% of the TSCS items. Multiple discriminant analysis of the faked responses, using Column and Self-Criticism scores as predictors, supported a two-dimensional interpretation of the TSCS (self-concept and self-criticism). Analysis of classification errors showed the greatest confusion resulted from classification of Fake-Good respondents into the Standard group. Rasch analysis of sleeper responses was relatively insensitive to implausible response subsets. A second study (n = 413) supported conclusions of the first, and exploratory analyses suggested the possibility that a "Faking Score" may be developed using a set of specific item responses rather than subscale scores.

Journal Article↗