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PubMed1999

Outcome variables in ankylosing spondylitis: evaluation of their relevance and discriminant capacity.

The clinical status of ankylosing spondylitis (AS) can be defined by several domains (e.g., pain, function, metrology, laboratory) and subcomponents within each domain (e.g., pain using visual analog scale, Schober's within metrology). Our aim was (1) To define groups of highly correlated variables in order to determine the most relevant; and (2) to evaluate the capacity of different clinical and biological variables that best discriminate between placebo and active nonsteroidal drugs in AS. Patients with active AS (n=423) were followed prospectively over 6 weeks while receiving placebo (n=121) or active nonsteroidal antiinflammatory drugs (n=352). Eighteen variables were studied, including global assessment, pain, stiffness, functional indices, metrology, disease activity index, and laboratory markers. Statistics included (1) Evaluation of the relevance of the different domains by multivariate analysis (CART tree-structure classification; variable clustering); and (2) evaluation of the discriminant capacity by univariate analysis [i.e., differences in the standardized response mean (SRM) (mean change/SD) between placebo and active drug. A value > or =0.60 was considered relevant]. Four clusters were identified (patient's subjective perception, inflammatory symptoms, metrology, laboratory data) with multiple correlation R2 revealing the most relevant variables to be the Bath Ankylosing Spondylitis Functional Index (BASFI; 0.75), night pain (0.62), Schober's test (0.58), and platelet count (0.55), respectively, within each cluster. In terms of discriminant power (SRM) the patient perceived global status (0.84), lumbar pain (0.73), night pain (0.71), physician global assessment (0.66), and BASFI (0.65) were most relevant in the univariate analysis. Among the 4 most relevant domains are subjective perception, inflammatory symptoms, metrology, and laboratory. Multivariate analysis of the data reveals that the spinal pain and the patient global assessment are the variables that best discriminate between placebo and active nonsteroidal drug in short term studies.

Adult↗

PubMed2026

Uce-based phylogeny and classification of Megachilini.

The generic-level classification of the bee tribe Megachilini (Megachilidae) has remained controversial due to poor phylogenetic resolution at the base of the group, particularly among the brood parasitic genera and the numerous dauber ("Chalicodoma s. l.") lineages. We present a phylogenomic analysis of Megachilini based on ultraconserved elements (UCEs), sampling 52 ingroup taxa with emphasis on the dauber lineages. We also present a combined UCE + six-gene analysis to improve taxon coverage, resulting in a dataset with 127 ingroup taxa. Maximum likelihood, coalescent, and Bayesian analyses of multiple UCE matrices recover largely congruent topologies with substantially improved support relative to previous studies. Our results strongly support the monophyly of Megachilini, the early divergence of Noteriades and Gronoceras, and a single origin of brood parasitism. All remaining non-parasitic Megachilini form a moderately supported clade sister to the brood parasitic lineage. The leafcutter bees are monophyletic and nested within dauber lineages. Several major dauber clades are consistently recovered, including an exclusively Australian clade corresponding to the Hackeriapis group of subgenera, while several recognized subgenera are paraphyletic. The lineage known as Morphella, previously placed in synonymy with the subgenus Callomegachile, was not closely related to that subgenus and is here treated as a valid subgenus. Divergence-time analyses place the crown age of Megachilini in the late Eocene to early Oligocene, with major extant lineages diversifying during the Miocene. Limited morphological diagnosability of several clades indicates that splitting non-parasitic lineages into numerous genera would result in an impractical classification that would widen the gap between taxonomists and non-specialists and exacerbate the taxonomic impediment in bees. We therefore advocate retaining a single genus Megachile for non-parasitic Megachilini (excluding Noteriades and Gronoceras), as the classification best supported by phylogenomic evidence and most robust to future taxon sampling.

Animals↗

PubMed2005

Bladder cancer stage and outcome by array-based comparative genomic hybridization.

PURPOSE: Bladder carcinogenesis is believed to follow alternative pathways of disease progression driven by an accumulation of genetic alterations. The purpose of this study was to evaluate associations between measures of genomic instability and bladder cancer clinical phenotype. EXPERIMENTAL DESIGN: Genome-wide copy number profiles were obtained for 98 bladder tumors of diverse stages (29 pT(a), 14 pT1, 55 pT(2-4)) and grades (21 low-grade and 8 high-grade superficial tumors) by array-based comparative genomic hybridization (CGH). Each array contained 2,464 bacterial artificial chromosome and P1 clones, providing an average resolution of 1.5 Mb across the genome. A total of 54 muscle-invasive cases had follow-up information available. Overall outcome analysis was done for patients with muscle-invasive tumors having "good" (alive >2 years) versus "bad" (dead in <2 years) prognosis. RESULTS: Array CGH analysis showed significant increases in copy number alterations and genomic instability with increasing stage and with outcome. The fraction of genome altered (FGA) was significantly different between tumors of different stages (pT(a) versus pT1, P = 0.0003; pT(a) versus pT(2-4), P = 0.02; and pT1 versus pT(2-4), P = 0.03). Individual clones that differed significantly between different tumor stages were identified after adjustment for multiple comparisons (false discovery rate < 0.05). For muscle-invasive tumors, the FGA was associated with patient outcome (bad versus good prognosis patients, P = 0.002) and was identified as the only independent predictor of overall outcome based on a multivariate Cox proportional hazards method. Unsupervised hierarchical clustering separated "good" and "bad" prognosis muscle-invasive tumors into clusters that showed significant association with FGA and survival (Kaplan-Meier, P = 0.019). Supervised tumor classification (prediction analysis for microarrays) had a 71% classification success rate based on 102 unique clones. CONCLUSIONS: Array-based CGH identified quantitative and qualitative differences in DNA copy number alterations at high resolution according to tumor stage and grade. Fraction genome altered was associated with worse outcome in muscle-invasive tumors, independent of other clinicopathologic parameters. Measures of genomic instability add independent power to outcome prediction of bladder tumors.

Chromosome Mapping↗

PubMed1999

Perception of complex tones and its analogy to echo spectral analysis in the bat, Megaderma lyra.

The gleaning bat Megaderma lyra emits broadband echolocation sounds consisting of multiple frequency components. The present study investigates into which perceptual qualities the spectral characteristics of echoes may be translated in the auditory system of M. lyra. Three bats were trained in a 2-AFC behavioral experiment to classify nine complex tones, which spectrally resembled M. lyra's sonar calls, into two perceptual categories. Then the bats' spontaneous responses to unknown complex tones were recorded. The results show that the animals based their classifications of the complex tones on a sound quality which was mediated by their broadband frequency spectra. The bats used the training stimuli as spectral templates and classified the test stimuli according to their broadband spectral similarity with the learned patterns. Assuming that passive hearing and echo processing are governed by similar perceptual qualities and subject to similar limitations, the perceptual mode which was used by the bats to compare the multicomponent spectral patterns in the reported experiments could serve as a powerful tool for the spectral analysis of M. lyra's multicomponent echoes. The analogy between the perception of complex tones and echo spectral analysis in M. lyra is theoretically elaborated in the "formant-mode" model.

Animals↗

PubMed2004

Multiclass Decision Forest--a novel pattern recognition method for multiclass classification in microarray data analysis.

The wealth of knowledge imbedded in gene expression data from DNA microarrays portends rapid advances in both research and clinic. Turning the prodigious and noisy data into knowledge is a challenge to the field of bioinformatics, and development of classifiers using supervised learning techniques is the primary methodological approach for clinical application using gene expression data. In this paper, we present a novel classification method, multiclass Decision Forest (DF), that is the direct extension of the two-class DF previously developed in our lab. Central to DF is the synergistic combining of multiple heterogenic but comparable decision trees to reach a more accurate and robust classification model. The computationally inexpensive multiclass DF algorithm integrates gene selection and model development, and thus eliminates the bias of gene preselection in crossvalidation. Importantly, the method provides several statistical means for assessment of prediction accuracy, prediction confidence, and diagnostic capability. We demonstrate the method by application to gene expression data for 83 small round blue-cell tumors (SRBCTs) samples belonging to one of four different classes. Based on 500 runs of 10-fold crossvalidation, tumor prediction accuracy was approximately 97%, sensitivity was approximately 95%, diagnostic sensitivity was approximately 91%, and diagnostic accuracy was approximately 99.5%. Among 25 genes selected to distinguish tumor class, 12 have functional information in the literature implicating their involvement in cancer. The four types of SRBCTs samples are also distinguishable in a clustering analysis based on the expression profiles of these 25 genes. The results demonstrated that the multiclass DF is an effective classification method for analysis of gene expression data for the purpose of molecular diagnostics.

Carcinoma, Small Cell↗

PubMed2005

Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry.

Methylation is one of the major epigenetic processes pivotal to our understanding of carcinogenesis. It is now widely accepted that there is a relationship between DNA methylation, chromatin structure, and human malignancies. DNA methylation is potentially an important clinical marker in cancer molecular diagnostics. Understanding epigenetic modifications in their biological context involves several aspects of DNA methylation analysis. These aspects include the de novo discovery of differentially methylated genes, the analysis of methylation patterns, and the determination of differences in the degree of methylation. Here we present a previously uncharacterized method for high-throughput DNA methylation analysis that utilizes MALDI-TOF mass spectrometry (MS) analysis of base-specifically cleaved amplification products. We use the IGF2/H19 region to show that a single base-specific cleavage reaction is sufficient to discover methylation sites and to determine methylation ratios within a selected target region. A combination of cleavage reactions enables the complete evaluation of all relevant aspects of DNA methylation, with most CpGs represented in multiple reactions. We successfully applied this technology under high-throughput conditions to quantitatively assess methylation differences between normal and neoplastic lung cancer tissue samples from 48 patients in 47 genes and demonstrate that the quantitative methylation results allow accurate classification of samples according to their histopathology.

Binding Sites↗

PubMed2002

[Treatment of rare talus dislocation fractures. An analysis of 23 injuries].

METHODS: Between 1980 and 1996 we treated 23 patients for dislocated fractures of the talus. The injury was caused by a car accident in 61% and a high fall in 22%. Five patients had open wounds (22%), two developed compartment syndrome of the foot (9%) at an early stage, and 11 patients had multiple injuries. We used the classifications of Hawkins and Marti/Weber. All fractures were surgically treated by fixation with screw osteosynthesis, percutaneous wire transfixation, and/or external fixation. Fifteen patients with dislocated fractures of the talus underwent clinical and radiological follow-up examinations using the Kiel score. RESULTS: Four patients had excellent and three good results. In five patients with moderate, two with adequate, and one with poor results, we found additional injuries to the ipsilateral foot or leg in 50%. Of those patients, 73% developed peritalar arthrosis and 39% talar necrosis. Due to bony defects, anatomical reconstruction was unsatisfactory in 48%. CONCLUSIONS: Even immediate anatomical reduction and sufficient stabilization cannot always decrease the rate of talar necrosis and peritalar arthrosis.

Adult↗

PubMed1995

Intratumoral heterogeneity of DNA ploidy in breast carcinomas: a flow cytometric assessment of sampling techniques.

Intratumoral heterogeneity of DNA ploidy has been identified in breast carcinomas; however, optimal sampling methods have not been determined. In this study of 28 invasive breast carcinomas measuring more than 1.4 cm in greatest dimension, two different techniques for obtaining cells for flow cytometric DNA ploidy analysis were compared. Two solid pieces of tissue were taken from opposite halves of the tumor. A third sample was obtained by scraping multiple cut surfaces of the tumor. Heterogeneity of DNA ploidy was detected in 43% of cases. Most cases demonstrating heterogeneity contained multiple aneuploid populations. However, in five cases classification of the tumors as either DNA euploid or DNA aneuploid differed among samples. A total of 39 non-diploid populations were detected in 23 of the cases. Thirty-three (85%) were detected by scraping and 35 (90%) were detected in either one or both tissue pieces. Intratumoral DNA heterogeneity emphasizes the need for adequate sampling. The scraping technique was as effective in identifying aneuploid cell populations as the combined results of the two pieces of tissue and better than sampling a single piece of tissue. Scraping also offers the advantage of tissue conservation which may be critical when various analytic studies are performed.

Breast Neoplasms↗

PubMed2003

Native fluorescence spectroscopy of blood plasma in the characterization of oral malignancy.

Native fluorescence characteristics of blood plasma were studied in the visible spectral region, at two different excitation wavelengths, 405 and 420 nm, to discriminate patients with different stages of oral malignancy from healthy subjects. The fluorescence spectra of blood plasma of oral malignant subjects exhibit characteristic spectral differences with respect to normal subjects. Different ratios were calculated using the fluorescence intensity values at those emission wavelengths that give characteristic spectral features of each group of experimental subjects studied. These fluorescence intensity ratios were used as input variables for a multiple linear discriminant analysis across different groups. Leave-one out cross-validation was used to check the reliability of each discriminant analysis performed. The discriminant analysis performed across normal and oral cancerous subjects classified 94.7% of the original grouped cases and 93.7% of the cross-validated grouped cases. A classification algorithm was developed on the basis of the score of the discriminant functions (discriminant score) resulted in the analyses. The diagnostic potentiality of the present technique was also estimated in the discrimination of malignant subjects from normal and nonmalignant diseased subjects such as liver diseases. In the discriminant analysis performed across the three groups, normal, oral malignancy (including early and advanced stages) and liver diseases, 99% of the original grouped cases and 95.9% of the cross-validated grouped cases were correctly classified. Similar analysis performed across normal, early stage of oral malignancy, advanced oral malignancy and liver diseases correctly classified 94.9% of the original grouped cases and 91.8% of the cross-validated grouped cases.

Blood Chemical Analysis↗

PubMed1998

High serum prolactin levels in men with rheumatoid arthritis.

OBJECTIVE: High prolactin (PRL) levels have been reported in systemic lupus erythematosus, Reiter's syndrome, and psoriatic arthritis. However, results of PRL investigations in rheumatoid arthritis (RA) are contradictory. We evaluated the PRL status in men with RA and the possible effect on bone mineral density (BMD). METHODS: We studied 91 men with RA and 68 controls. PRL serum levels were analyzed under standardized conditions. Sex hormones (testosterone, androstenedione, and DHEAS) were also studied. BMD was analyzed at L2-L4 and the femoral neck by Hologic QDR1000. Comparative tests, linear correlations, and multiple regression analysis were performed. RESULTS: Serum PRL levels were significantly higher in men with RA (249+/-162 mU/l) than in controls (189+/-85 mU/l) (p=0.0015). High PRL levels were significantly correlated with the duration of RA (r=0.23; p=0.01) and with functional stage according to the Steinbrocker classification (r=0.24; p=0.01). High PRL concentrations were not correlated with the low levels of androgens observed in males with RA. Femoral BMD showed a negative correlation with PRL concentrations (r=0.20; p=0.04). Nevertheless, PRL was not a significant determinant of BMD. CONCLUSION: Men with RA have high serum PRL levels and concentrations increase with longer disease evolution and worse functional stage. Prolactin levels do not have a direct effect on BMD.

Adult↗

PubMed2005

Classification of a large microarray data set: algorithm comparison and analysis of drug signatures.

A large gene expression database has been produced that characterizes the gene expression and physiological effects of hundreds of approved and withdrawn drugs, toxicants, and biochemical standards in various organs of live rats. In order to derive useful biological knowledge from this large database, a variety of supervised classification algorithms were compared using a 597-microarray subset of the data. Our studies show that several types of linear classifiers based on Support Vector Machines (SVMs) and Logistic Regression can be used to derive readily interpretable drug signatures with high classification performance. Both methods can be tuned to produce classifiers of drug treatments in the form of short, weighted gene lists which upon analysis reveal that some of the signature genes have a positive contribution (act as "rewards" for the class-of-interest) while others have a negative contribution (act as "penalties") to the classification decision. The combination of reward and penalty genes enhances performance by keeping the number of false positive treatments low. The results of these algorithms are combined with feature selection techniques that further reduce the length of the drug signatures, an important step towards the development of useful diagnostic biomarkers and low-cost assays. Multiple signatures with no genes in common can be generated for the same classification end-point. Comparison of these gene lists identifies biological processes characteristic of a given class.

Algorithms↗

PubMed1999

Early biochemical characterization of soft-tissue trauma and fracture trauma.

OBJECTIVE: The long-term outcome of trauma patients basically depends on the relation between the clearance capacity of the organism, e.g., the lungs, and the antigenic (inflammatory) load in relation to the amount of damaged and perfused tissue. It is necessary to determine quality and quantity of fracture and soft-tissue damage by clinical means as early as possible. It is unknown whether biochemical markers and the impact of soft-tissue trauma correlate and whether there is a predictive value on clinical outcome. METHODS: A total of 107 trauma patients were prospectively enrolled in the study. Blood samples were collected immediately at the site of accident, at hospital admission, and every 2 hours for an interval of 24 hours, then daily. In addition to the biochemical analysis of 20 different substances, the following data were collected and correlated to the laboratory results: Injury Severity Score, polytrauma score of Hannover, modified fracture index, and soft-tissue index. These primary clinical findings as well as the laboratory data were correlated to criteria of clinical outcome such as length of stay in the intensive care unit, length of hospital stay, infections, systemic inflammatory response syndrome, sepsis, multiple organ failure score according to Goris, and finally to primary (< 72 hours), secondary (> 72 hours), and overall lethality. The determination of individual extent and severity of soft-tissue trauma is based on standard partial body volumes derived from healthy volunteers. In addition, clinical estimation of the degree of soft-tissue damage according to the usual classifications was performed. RESULTS: Significant (p > 0.05) correlations were found between fracture as well as soft-tissue trauma and intensive care unit stay, hospital stay, infections, systemic inflammatory response syndrome, multiple organ failure score, serum concentrations/activities of serum interleukin-6 and -8 and creatine kinase during the first 24 hours after trauma. Severe soft-tissue trauma was related to secondary lethality, however, without statistical significance. CONCLUSION: The amount of fracture and soft-tissue damage can be estimated early by analysis of serum interleukin-6 and creatine kinase and is of great importance with regard to long-term outcome after trauma.

Adolescent↗

PubMed1999

[Polycystic kidney disease in newborns: analysis of coincidence of congenital abnormalities and other syndromes].

The retrospective analysis of 45 cases of polycystic and multicystic kidney disease in newborns and fetuses was done, focused on the association with congenital anomalies in the another organs, regarding the classification of multicystic dysplasia, subcapsular (obstructive) dysplasia, autosomal dominant and autosomal recessive polycystic kidney disease. The analysis was based on the results of 1961 autopsies of newborns and stillborns.

Abnormalities, Multiple↗

PubMed2001

Prognosis of acute myocardial infarction in the thrombolytic era: medical evaluation is still valuable.

BACKGROUND: Modern and sophisticated technology for the management of myocardial infarction has progressively devalued medical evaluation. HYPOTHESIS: This study was undertaken to assess the importance of the findings of medical evaluation at hospital presentation, in patients with acute myocardial infarction. METHODS: Data from 590 thrombolytic-treated myocardial infarction patients were analyzed. The patients were grouped according to their clinical status on arrival at hospital. A modified Forrester classification--subset II was divided according to the absence (IIa) or presence (IIb) of symptoms--was applied. Short- (14 days) and long-term (up to 10 years) survival was analyzed and 19 independent variables were included in the multivariate models. RESULTS: Short-term survival was 95.6% for subset I, 83.3% for subset IIa, 60% for subset IIb, 54.6% for subset III, and 34.8% for subset IV (P<0.001). By multiple regression analysis, lower clinical subsets (P<0.001), fewer coronary arteries with disease (P=0.006), younger age (P=0.014), absence of reinfarction (P=0.034), longer interval between streptokinase infusion and coronary arteriography (P=0.016), and higher left ventricular ejection fraction (P=0.037) demonstrated significant and independent correlation with short-term survival. Long-term survival for the total population was 71+/-3.6% for subset I, 54.4+/-8.5% for subset IIa, 20.8+/-9.4% for subset IIb, 54.5+/-15% for subset III, and 0% for subset IV (P<0.001). Using Cox regression analysis, lower clinical subsets (P<0.001), younger age (P<0.001), higher global left ventricular ejection fraction (P<0.001), and fewer coronary arteries with disease (P=0.021) correlated independently and significantly with long-term survival. When excluding data from patients who died before the short-term follow-up (n=532), lower clinical subsets remained an important predictor of long-term survival (P<0.001). CONCLUSION: Clinical classification at hospital presentation is a powerful predictor of short- and long-term survival post-myocardial infarction.

Coronary Angiography↗

PubMed2000

Disability outcome measures in therapeutic trials of relapsing-remitting multiple sclerosis: effects of heterogeneity of disease course in placebo cohorts.

OBJECTIVES: Recent phase III clinical trials of immunomodulatory therapies in relapsing-remitting multiple sclerosis have shown significant benefits of active treatment on relapse related end points, but effects on disability outcomes have been inconsistent. These apparent discrepancies could be due to differences in the clinical end points employed, the behaviour of placebo cohorts, or both. METHODS: Disability data from the placebo cohorts of two large phase III studies, the United States glatiramer acetate trial (Copolymer 1 Multiple Sclerosis Study Group) and the multinational interferon beta-1a trial (PRISMS Study Group) were combined and masked (n = 313). Two groups of disability outcome measures were assessed. Firstly, measures of disability change (2 year EDSS difference and area under the EDSS/time curve, AUC) were calculated. Secondly, conventional disease progression end points ("confirmed progression" and "worsening to EDSS 6.0") were evaluated by using Kaplan-Meier analysis and compared with a categorical classification based on EDSS trends. RESULTS: The average increase in disability for the entire cohort as assessed by mean 2 year EDSS change (<0.5 EDSS point) or mean AUC (+0.57 EDSS-years) was small. For the "confirmed progression" end points, increasing the stringency of the definition lowered their incidence (from 32% with 1.0 point at 3 months, to 9% with 2.0 points at 6 months), but did not improve the positive predictive accuracy for "sustained progression" maintained to the end of the study. The error rate for this outcome was about 50%. Worsening to EDSS 6.0 was a more reliable end point, but had even lower sensitivity (incidence <10%). EDSS trend analysis showed markedly heterogeneous disease courses, which were then categorised into "stable" (26%), "relapsing-remitting" (59%), and "progressive" (15%) courses. Patients with the last course had deteriorated considerably by the end of 2 years (mean worsening of 2.0 EDSS points). CONCLUSION: In relapsing-remitting multiple sclerosis treatment trials, the conventional measure of mean EDSS change has low sensitivity, whereas the widely applied confirmed progression end points have high error rates regardless of their definition stringency. Alternative methods with better data utilisation include AUC summary measures and categorical disease trend analysis. The heterogeneity of disability outcomes in short trials, combined with unreliable clinical end points, diminishes the credibility of therapeutic claims aimed at reducing irreversible neurological deficits. The behaviour of patients treated with placebo should be carefully analysed before conclusions are drawn on the efficacy of putative treatments.

Adult↗

PubMed2004

[Injury to the pelvic ring. Diagnosis and current possibilities for treatment].

Pelvic fracture, especially in combination with multiple trauma, can still lead to ife-threatening situations. Only clear inclusion criteria and decisions can ensure survival of the patient, the key task being mechanical stabilization using external fixators or pelvic clamps with or without surgical intervention for hemostasis. The basis for problem-orientated management is a precise classification, which is based on conventional X-rays in emergency situations and detailed analysis of computed tomography for the planning of definitive surgical interventions. The classification groups postulated are stable pelvic fractures (type A), rotational unstable pelvic fractures (type B -- partial stability of the posterior ring present), and translational instabilities (type C -- with a complete disruption of the anterior and posterior pelvic ring). This classification leads to clear indications for pelvic ring stabilization as surgical interventions are only exceptionally indicated in type A fractures, stabilization of the anterior ring is sufficient for type B fractures, and combined posterior and anterior stabilization is necessary for treatment of type C fractures. Following these concepts and by using standardized procedures and implants, the high rate of enclosed anatomical healing can be achieved even after type C injuries. Nevertheless, the role of concomitant soft tissue injuries and scar formation is not clear as the origin of the frequently observed long-term clinical impairments even after anatomical reconstruction of the osteoligamentous structures.

Emergencies↗

PubMed1984

Classification of Inoue-Melnick virus into three antigenic types.

Antigenic analysis of Inoue-Melnick virus, formerly called SMON virus, showed that isolates from patients with subacute myelo-optico-neuropathy (SMON) in Japan, thus far tested, belonged to a single antigenic type (type 1). However, Inoue-Melnick virus isolates obtained so far in the United States chiefly from patients with multiple sclerosis could be classified into three types: type 1, type 2, and an intermediate type. At the present state of knowledge, the virus has not been proven to be the causative agent of disease, hence its provisional designation as IMV.

Antigens, Viral↗

PubMed2005

[Tolosa-Hunt syndrome: analysis of six cases].

Tolosa-Hunt syndrome is an entity of rare occurrence and unknown etiopathogenesis, expressed clinically by unilateral orbitary pain associated with simple or multiple oculomotor paralysis, which resolves spontaneously but may recur. We present a series of six cases taken care in our ambulatory, which fulfill the diagnostic criteria for Tolosa Hunt syndrome according to the International Headache Society Classification of 2004. There are also emphasized the demographic data of this series of patients, their 12 months follow-up, investigative studies and responsiveness to corticosteroids. As the diagnosis is always of exclusion, literature revision is focused on differential diagnosis of painful ophthalmoplegic syndromes.

Adult↗