929 resultados para area under the curve
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BACKGROUND: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. METHODS: Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. RESULTS: In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. CONCLUSIONS: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.
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PURPOSE: To identify risk factors associated with mortality in patients with severe community-acquired pneumonia (CAP) caused by S. pneumoniae who require intensive care unit (ICU) management, and to assess the prognostic values of these risk factors at the time of admission. METHODS: Retrospective analysis of all consecutive patients with CAP caused by S. pneumoniae who were admitted to the 32-bed medico-surgical ICU of a community and referral university hospital between 2002 and 2011. Univariate and multivariate analyses were performed on variables available at admission. RESULTS: Among the 77 adult patients with severe CAP caused by S. pneumoniae who required ICU management, 12 patients died (observed mortality rate 15.6 %). Univariate analysis indicated that septic shock and low C-reactive protein (CRP) values at admission were associated with an increased risk of death. In a multivariate model, after adjustment for age and gender, septic shock [odds ratio (OR), confidence interval 95 %; 4.96, 1.11-22.25; p = 0.036], and CRP (OR 0.99, 0.98-0.99 p = 0.034) remained significantly associated with death. Finally, we assessed the discriminative ability of CRP to predict mortality by computing its receiver operating characteristic curve. The CRP value cut-off for the best sensitivity and specificity was 169.5 mg/L to predict hospital mortality with an area under the curve of 0.72 (0.55-0.89). CONCLUSIONS: The mortality of patients with S. pneumoniae CAP requiring ICU management was much lower than predicted by severity scores. The presence of septic shock and a CRP value at admission <169.5 mg/L predicted a fatal outcome.
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The objective of this work was to develop and validate a set of clinical criteria for the classification of patients affected by periodic fevers. Patients with inherited periodic fevers (familial Mediterranean fever (FMF); mevalonate kinase deficiency (MKD); tumour necrosis factor receptor-associated periodic fever syndrome (TRAPS); cryopyrin-associated periodic syndromes (CAPS)) enrolled in the Eurofever Registry up until March 2013 were evaluated. Patients with periodic fever, aphthosis, pharyngitis and adenitis (PFAPA) syndrome were used as negative controls. For each genetic disease, patients were considered to be 'gold standard' on the basis of the presence of a confirmatory genetic analysis. Clinical criteria were formulated on the basis of univariate and multivariate analysis in an initial group of patients (training set) and validated in an independent set of patients (validation set). A total of 1215 consecutive patients with periodic fevers were identified, and 518 gold standard patients (291 FMF, 74 MKD, 86 TRAPS, 67 CAPS) and 199 patients with PFAPA as disease controls were evaluated. The univariate and multivariate analyses identified a number of clinical variables that correlated independently with each disease, and four provisional classification scores were created. Cut-off values of the classification scores were chosen using receiver operating characteristic curve analysis as those giving the highest sensitivity and specificity. The classification scores were then tested in an independent set of patients (validation set) with an area under the curve of 0.98 for FMF, 0.95 for TRAPS, 0.96 for MKD, and 0.99 for CAPS. In conclusion, evidence-based provisional clinical criteria with high sensitivity and specificity for the clinical classification of patients with inherited periodic fevers have been developed.
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PURPOSE: The purpose of our study was to assess whether a model combining clinical factors, MR imaging features, and genomics would better predict overall survival of patients with glioblastoma (GBM) than either individual data type. METHODS: The study was conducted leveraging The Cancer Genome Atlas (TCGA) effort supported by the National Institutes of Health. Six neuroradiologists reviewed MRI images from The Cancer Imaging Archive (http://cancerimagingarchive.net) of 102 GBM patients using the VASARI scoring system. The patients' clinical and genetic data were obtained from the TCGA website (http://www.cancergenome.nih.gov/). Patient outcome was measured in terms of overall survival time. The association between different categories of biomarkers and survival was evaluated using Cox analysis. RESULTS: The features that were significantly associated with survival were: (1) clinical factors: chemotherapy; (2) imaging: proportion of tumor contrast enhancement on MRI; and (3) genomics: HRAS copy number variation. The combination of these three biomarkers resulted in an incremental increase in the strength of prediction of survival, with the model that included clinical, imaging, and genetic variables having the highest predictive accuracy (area under the curve 0.679±0.068, Akaike's information criterion 566.7, P<0.001). CONCLUSION: A combination of clinical factors, imaging features, and HRAS copy number variation best predicts survival of patients with GBM.
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UNLABELLED: Trabecular bone score (TBS) seems to provide additive value on BMD to identify individuals with prevalent fractures in T1D. TBS did not significantly differ between T1D patients and healthy controls, but TBS and HbA1c were independently associated with prevalent fractures in T1D. A TBS cutoff <1.42 reflected prevalent fractures with 91.7 % sensitivity and 43.2 % specificity. INTRODUCTION: Type 1 diabetes (T1D) increases the risk of osteoporotic fractures. TBS was recently proposed as an indirect measure of bone microarchitecture. This study aimed at investigating the TBS in T1D patients and healthy controls. Associations with prevalent fractures were tested. METHODS: One hundred nineteen T1D patients (59 males, 60 premenopausal females; mean age 43.4 ± 8.9 years) and 68 healthy controls matched for gender, age, and body mass index (BMI) were analyzed. The TBS was calculated in the lumbar region, based on two-dimensional (2D) projections of DXA assessments. RESULTS: TBS was 1.357 ± 0.129 in T1D patients and 1.389 ± 0.085 in controls (p = 0.075). T1D patients with prevalent fractures (n = 24) had a significantly lower TBS than T1D patients without fractures (1.309 ± 0.125 versus 1.370 ± 0.127, p = 0.04). The presence of fractures in T1D was associated with lower TBS (odds ratio = 0.024, 95 % confidence interval (CI) = 0.001-0.875; p = 0.042) but not with age or BMI. TBS and HbA1c were independently associated with fractures. The area-under-the curve (AUC) of TBS was similar to that of total hip BMD in discriminating T1D patients with or without prevalent fractures. In this set-up, a TBS cutoff <1.42 discriminated the presence of fractures with a sensitivity of 91.7 % and a specificity of 43.2 %. CONCLUSIONS: TBS values are lower in T1D patients with prevalent fractures, suggesting an alteration of bone strength in this subgroup of patients. Reliable TBS cutoffs for the prediction of fracture risk in T1D need to be determined in larger prospective studies.
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Second-generation antipsychotics (SGAs) have become the first-line antipsychotic treatment for psychotic disorders due to their better overall tolerance compared to classical antipsychotics. However, metabolic side effects such as weight gain are frequently described during treatment with SGAs and/or other psychotropic drugs including some antidepressants and mood stabilizers, which may also result in poor adherence to treatment. The aim of this work was to investigate different methods to predict common side effects, in particular weight gain during treatment with weight gain inducing psychotropic drugs. Firstly, clinical data were used to determine the potential predictive power of a one month weight gain on weight increase after three and 12 months of treatment (n=351 patients). A fast and strong weight gain of >5% after a period of one month (>5%WG) was found to be the best predictor for an important weight gain at three (>15%) and 12 months (>20%). Similar analyses in an independent cohort of psychiatric adolescents (n=42), showed that a comparable >4% weight gain at one month is the best predictor for an important weight gain at three months (>15%). Secondly, we aimed to determine whether an extensive analysis of genes could be used, in addition to clinical factors, to predict patients at risk for >5%WG or for type 2 diabetes (T2D). Adding genetic markers to clinical variables to predict >5%WG increased significantly the area under the curve (AUC) of the analysis (AUCfinai:0.92, AUCdmicai:0.75, pcO.OOOl, n=248). Conversely, genetic risk scores were found to be associated with T2D (OR: 2.5, p=0.03, n=285) but without a significant increase of AUC'when compared to the prediction based to clinical factors alone. Finally, therapeutic drug monitoring was used to predict extrapyramidal symptoms during risperidone treatment (n=150). Active moiety (sum of risperidone and of its active metabolite 9- hydroxyrisperidone plasma concentrations) of >40 ng/ml should be targeted only in case of insufficient response. These results highlight different approaches for personalizing psychotropic treatments in order to reduce related side effects. Further research is needed, in particular on the identification of genetic markers, to improve the implementation of these results into clinical practice. Résumé Les antipsychotiques atypiques (APA) sont devenus le traitement antipsychotique de première intention pour le traitement des psychoses, grâce à un profil d'effets secondaires plus favorables comparé aux antipsychotiques typiques. Néanmoins, d'autres effets indésirables d'ordre métabolique (ex. prise pondérale) sont observés sous APA, stabilisateurs de l'humeur et/ou certains antidépresseurs, pouvant aussi limiter l'adhérence au traitement. L'objectif de ce travail est d'explorer différentes méthodes permettant de prédire des effets secondaires courants, en particulier la prise de poids durant un traitement avec des psychotropes pouvant induire un tel effet. Dans une première partie, des données cliniques ont été évaluées pour leurs potentiels prédictifs d'une prise de poids à un mois sur une prise de poids à trois et 12 mois de traitement (n=351 patients). Une prise de poids rapide et forte >5% à un mois (PP>5%) s'est avérée être le meilleur prédicteur pour une prise pondérale importante à trois (>15%) et 12 (>20%) mois de traitement. Des analyses similaires dans une cohorte pédiatrique (n=42) ont indiqué une prise de poids >4% à un mois comme le meilleur prédicteur pour une prise pondérale importante (>15%) à trois mois de traitement. Dans une deuxième partie, des marqueurs génétiques, en complément aux données cliniques, ont été analysés pour leur contribution potentielle à la prédiction d'une PP>5% et au dépistage du diabète de type 2 (DT2). L'ajout de variants génétiques aux données cliniques afin de prédire une PP>5% a augmenté significativement l'aire sous la courbe (ASC) de l'analyse (ASCflnai:0.92, ASCC|inique:0.75, p<0.0001, n=248). Concernant le DT2, un score génétique est associé au DT2 (OR: 2.5, p=0.03, n=285), néanmoins aucune augmentation significative de l'ASC n'a été observée par rapport à l'analyse avec les données cliniques seules. Finalement, des mesures de concentrations plasmatiques de médicaments ont été utilisées pour prédire la survenue de symptômes extrapyramidaux sous rispéridone (n=150). Cette analyse nous a permis d'établir qu'une concentration plasmatique de rispéridone associée à son métabolite actif >40 ng/ml ne devrait être recherchée qu'en cas de réponse clinique insuffisante. Ces différents résultats soulignent différentes approches pour personnaliser la prescription de psychotropes afin de réduire la survenue d'effets secondaires. Des études supplémentaires sont néanmoins nécessaires, en particulier sur l'identification de marqueurs génétiques, afin d'améliorer l'implémentation de ces résultats en pratique clinique. Résumé large publique Les antipsychotiques atypiques et autres traitements psychotropes sont couramment utilisés pour traiter les symptômes liés à la schizophrénie et aux troubles de l'humeur. Comme pour tout médicament, des effets secondaires sont observés. L'objectif de ce travail est d'explorer différentes méthodes qui permettraient de prédire la survenue de certains effets indésirables, en particulier une prise de poids et la survenue d'un diabète. Dans une première partie, nous avons évalué l'effet d'une prise de poids précoce sur une prise de poids au long terme sous traitement psychotrope. Les analyses ont mis en évidence dans une population psychiatrique qu'une prise de poids à un mois >5% par rapport au poids initial permettait de prédire une prise pondérale importante après trois (>15%) et 12 (>20%) mois de traitement. Un résultat semblable a. été observé dans un autre groupe de patients exclusivement pédiatriques. Dans une deuxième partie, nous avons évalué la contribution potentielle de marqueurs génétiques à la prédiction d'une prise pondérale de >5% après un mois de traitement ainsi que dans la survenue d'un diabète de type 2. Pour la prise de poids, la combinaison des données génétiques aux données cliniques a permis d'augmenter de 17% la précision de la prédiction, en passant de 70% à 87%. Concernant la survenue d'un diabète, les données génétiques n'ont pas amélioré la prédiction. Finalement, nous avons analysé la relation possible entre les concentrations sanguines d'un antipsychotique atypique couramment utilisé, la rispéridone, et la survenue d'effets secondaires (ici les tremblements). Il est ressorti de cette étude qu'une concentration plasmatique du médicament supérieure à 40 ng/ml ne devrait être dépassée qu'en cas de réponse thérapeutique insuffisante, au risque de voir augmenter la survenue d'effets secondaires du type tremblements. Ces résultats démontrent la possibilité de prédire avec une bonne précision la survenue de certains effets secondaires. Cependant, en particulier dans le domaine de la génétique, d'autres études sont nécessaires afin de confirmer les résultats obtenus dans nos analyses. Une fois cette étape franchie, il serait possible d'utiliser ces outils dans la pratique clinique. A terme, cela pourrait permettre au prescripteur de sélectionner les traitements les mieux adaptés aux profils spécifiques de chaque patient.
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BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disorder characterized by numerous fluid-filled cysts that frequently result in end-stage renal disease. While promising treatment options are in advanced clinical development, early diagnosis and follow-up remain a major challenge. We therefore evaluated the diagnostic value of Fetuin-A as a new biomarker of ADPKD in human urine. RESULTS: We found that renal Fetuin-A levels are upregulated in both Pkd1 and Bicc1 mouse models of ADPKD. Measurement by ELISA revealed that urinary Fetuin-A levels were significantly higher in 66 ADPKD patients (17.5 ± 12.5 μg/mmol creatinine) compared to 17 healthy volunteers (8.5 ± 3.8 μg/mmol creatinine) or 50 control patients with renal diseases of other causes (6.2 ± 2.9 μg/mmol creatinine). Receiver operating characteristics (ROC) analysis of urinary Fetuin-A levels for ADPKD rendered an optimum cut-off value of 12.2 μg/mmol creatinine, corresponding to 94% of sensitivity and 60% of specificity (area under the curve 0.74 ; p = 0.0019). Furthermore, urinary Fetuin-A levels in ADPKD patients correlated with the degree of renal insufficiency and showed a significant increase in patients with preserved renal function followed for two years. CONCLUSIONS: Our findings establish urinary Fetuin-A as a sensitive biomarker of the progression of ADPKD. Further studies are required to examine the pathogenic mechanisms of elevated renal and urinary Fetuin-A in ADPKD.
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BACKGROUND: Biliary tract cancer is an uncommon cancer with a poor outcome. We assembled data from the National Cancer Research Institute (UK) ABC-02 study and 10 international studies to determine prognostic outcome characteristics for patients with advanced disease. METHODS: Multivariable analyses of the final dataset from the ABC-02 study were carried out. All variables were simultaneously included in a Cox proportional hazards model, and backward elimination was used to produce the final model (using a significance level of 10%), in which the selected variables were associated independently with outcome. This score was validated externally by receiver operating curve (ROC) analysis using the independent international dataset. RESULTS: A total of 410 patients were included from the ABC-02 study and 753 from the international dataset. An overall survival (OS) and progression-free survival (PFS) Cox model was derived from the ABC-02 study. White blood cells, haemoglobin, disease status, bilirubin, neutrophils, gender, and performance status were considered prognostic for survival (all with P < 0.10). Patients with metastatic disease {hazard ratio (HR) 1.56 [95% confidence interval (CI) 1.20-2.02]} and Eastern Cooperative Oncology Group performance status (ECOG PS) 2 had worse survival [HR 2.24 (95% CI 1.53-3.28)]. In a dataset restricted to patients who received cisplatin and gemcitabine with ECOG PS 0 and 1, only haemoglobin, disease status, bilirubin, and neutrophils were associated with PFS and OS. ROC analysis suggested the models generated from the ABC-02 study had a limited prognostic value [6-month PFS: area under the curve (AUC) 62% (95% CI 57-68); 1-year OS: AUC 64% (95% CI 58-69)]. CONCLUSION: These data propose a set of prognostic criteria for outcome in advanced biliary tract cancer derived from the ABC-02 study that are validated in an international dataset. Although these findings establish the benchmark for the prognostic evaluation of patients with ABC and confirm the value of longheld clinical observations, the ability of the model to correctly predict prognosis is limited and needs to be improved through identification of additional clinical and molecular markers.
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BACKGROUND & AIMS: It is not clear whether symptoms alone can be used to estimate the biologic activity of eosinophilic esophagitis (EoE). We aimed to evaluate whether symptoms can be used to identify patients with endoscopic and histologic features of remission. METHODS: Between April 2011 and June 2014, we performed a prospective, observational study and recruited 269 consecutive adults with EoE (67% male; median age, 39 years old) in Switzerland and the United States. Patients first completed the validated symptom-based EoE activity index patient-reported outcome instrument and then underwent esophagogastroduodenoscopy with esophageal biopsy collection. Endoscopic and histologic findings were evaluated with a validated grading system and standardized instrument, respectively. Clinical remission was defined as symptom score <20 (range, 0-100); histologic remission was defined as a peak count of <20 eosinophils/mm(2) in a high-power field (corresponds to approximately <5 eosinophils/median high-power field); and endoscopic remission as absence of white exudates, moderate or severe rings, strictures, or combination of furrows and edema. We used receiver operating characteristic analysis to determine the best symptom score cutoff values for detection of remission. RESULTS: Of the study subjects, 111 were in clinical remission (41.3%), 79 were in endoscopic remission (29.7%), and 75 were in histologic remission (27.9%). When the symptom score was used as a continuous variable, patients in endoscopic, histologic, and combined (endoscopic and histologic remission) remission were detected with area under the curve values of 0.67, 0.60, and 0.67, respectively. A symptom score of 20 identified patients in endoscopic remission with 65.1% accuracy and histologic remission with 62.1% accuracy; a symptom score of 15 identified patients with both types of remission with 67.7% accuracy. CONCLUSIONS: In patients with EoE, endoscopic or histologic remission can be identified with only modest accuracy based on symptoms alone. At any given time, physicians cannot rely on lack of symptoms to make assumptions about lack of biologic disease activity in adults with EoE. ClinicalTrials.gov, Number: NCT00939263.
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Introduction: L'hyperglycémie est un phénomène connu chez les patients gravement agressés, et surtout chez ceux nécessitant un séjour aux soins intensifs, alors que l'hypoglycémie est une complication menaçante. Des valeurs de glycémies anormales sont associées avec une mortalité et morbidité augmentées chez les patients de soins intensifs, y compris les grands brûlés. Des glycémies jusqu'à 15mmol/l ont longtemps été tolérées sans traitement. En 2001, une grande étude randomisée a complètement changé les pratiques du contrôle glycémique aux soins intensifs. Van den Berghe et al. ont montré qu'un contrôle glycémique strict atteint au moyen d'une « intensive insulin therapy » (HT) visant une glycémie 4.1-6.0 mmol/l réduisait la mortalité chez les patients chirurgicaux traités plus que 5. Par la suite plusieurs études contradictoires ont questionné la validité externe de l'étude de Louvain: avec la publication de l'étude « NICE-SUGAR » en 2009 enrôlant plus de 6000 patients cette hypothèse a été réfutée, aboutissant à un contrôle modéré de la glycémie (6-8 mmol/l). Bien que plusieurs études sur le contrôle glycémique aient également inclus quelques patients brûlés, à ce jour il n'y a pas de recommandation ferme concernant la gestion de la glycémie chez les patients brûlés adultes. Le but de l'étude était d'évaluer la sécurité du protocole de contrôle de la glycémie qui avait été introduit aux soins intensifs adultes chez des patients grand brûlés nécessitant un traitement prolongé aux soins intensifs. Méthodes : 11 s'agit d'une étude rétrospective uni-centrique sur des patients brûlés admis aux soins intensifs du CHUV à Lausanne entre de 2000 à juin 2014. Critères d'inclusions : Age >16 ans, brûlures nécessitant un traitement aux soins intensifs >10 jours. Critères d'exclusion : Décès ou transfert hors des soins intensifs <10 jours. Les investigations ont été limitées aux 21 premiers jours de l'hospitalisation aux soins intensifs. Variables : Variables démographiques, surface brûlée (TBSA), scores de sévérité, infections, durée d'intubation, durée du séjour aux soins intensifs, mortalité. Variables métaboliques : Administration totale de glucides, énergie et insuline/2411, valeurs de glycémie artérielle et CRP. Quatre périodes (P) ont été analysées, correspondant à l'évolution du protocole de contrôle de glycémie du service. P1: Avant son introduction (2000-2001) ; P2: Contrôle glycémie serré géré par les médecins (2002-2006) ; P3: Contrôle glycémie serré géré par lés infirmières (2007-2010); P4: Contrôle modéré géré par les infirmières (2011-2014). Les limites glycémiques ont été définis de manière suivante: Hypoglycémie extrême <2.3mmol/l ; hypoglycémie modéré <4.0mmol/l ; hyperglycémie modérée 8.1-10.0mmol/l ; hyperglycémie sévère >10.0mmol/l. Toutes les valeurs de glycémies artérielles ont été extraites depuis le système informatisé des soins intensifs (MetaVision ®). Statistiques: Wilcoxon rank test, Two- way Anova, Tuckey Kramer test, area under the curve (AUC), Spearman's test et odds ratio. STATA 12 1 ' StataCorp, College station, TX, USA and JPM V 10.1 (SAS Institute, Cary, NC, USA). Résultats: Sur les 508 patients brûlés admis durant la période étudiée, 229 patients correspondaient aux critères d'inclusion, âgés de 45±20ans (X±SD) et brûlés sur 32±20% de la surface corporelle. Les scores de sévérité sont restés stables. Au total 28'690 glycémies artérielles ont été analysées. La valeur médiane de glycémie est restée stable avec une diminution progressive de la variabilité intra-patient. Après initiation du protocole, les valeurs normoglycémiques ont augmenté de 34.7% à 65.9% avec diminution des événements hypoglycémiques (pas d'hypoglycémie extrême en P4). Le nombre d'hyperglycémies sévères est resté stable durant les périodes 1 à 3, avec une diminution en P4 (9.25%) : les doses d'insuline ont aussi diminué. L'interprétation des résultats de P4 a été compliquée par une diminution concomitante des apports d'énergie et de glucose (p<0.0001). Conclusions: L'application du protocole destiné aux patients de soins intensifs non brûlés a amélioré le contrôle glycémique chez les patients adultes brûlés, aboutissant à une diminution significative de la variabilité des glycémies. Un contrôle modéré de la glycémie peut être appliqué en sécurité, considérant le nombre très faible d'hypoglycémies. La gestion du protocole par les infirmières s'avère plus sûre qu'un contrôle par les médecins, avec diminution des hypoglycémies. Cependant le nombre d'hyperglycémies reste trop élevé. L'hyperglycémie' n'est pas contrôlable uniquement par l'administration d'insuline, mais nécessite également une approche multifactorielle comprenant une optimisation de la nutrition adaptée aux besoins énergétiques élevés des grands brûlés. Plus d'études seront nécessaire pour mieux comprendre la complexité du mécanisme de l'hyperglycémie chez le patient adulte brûlé et pour en améliorer le contrôle glycémique.
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The objectives of this study were to evaluate the progress of Ralstonia solanacearum bacterial potato wilt biovar 2 (race 3) in 14 potato (Solanum tuberosum L.) cultivars or clones, the resistance of potato clone MB 03 (selected in Brasília, Brazil) to race 1 of R. solanacearum, and the occurrence of the pathogen in tubers harvested from asymptomatic potato plants. During the spring (September to the end of November in the southern hemisphere) of 1999 and 2000, 14 cultivars or clones were grown in a field naturally infested with R. solanacearum biovar 2, in Caxias do Sul, RS. The number of wilted potato plants was recorded each week and a disease progress curve plotted, the resistance of the potato genotypes to bacterial wilt being evaluated by determining the area under the curve. Various models were evaluated to fit the curves, with the logistic model being the best fit. At the end of each growing season tubers produced by asymptomatic plants were harvested and stored until budding and then tested for the presence of R. solanacearum. Cultivar Cruza 148 and clone MB 03 were the most resistant but both showed tubers with latent infections. The epidemiological implications of the incidence of R. solanacearum biovar 2 (race 3) in potato crops, as well as the resistance of certain genotypes that may harbor latent infections, are important aspects to be considered in the integrated management of bacterial wilt.
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Human skinned muscle fibers were used to investigate the effects of bovine serum albumin (BSA) on the tension/pCa relationship and on the functional properties of the Ca2+-release channel of the sarcoplasmic reticulum (SR). In both fast- and slow-type fibers, identified by their tension response to pSr 5.0, BSA (0.7-15 µM) had no effect on the Ca2+ affinity of the contractile proteins and elicited no tension per se in Ca2+-loaded fibers. In contrast, BSA (>1.0 µM) potentiated the caffeine-induced tension in Ca2+-loaded fibers, this effect being more intense in slow-type fibers. Thus, BSA reduced the threshold caffeine concentration required for eliciting detectable tension, and increased the amplitude, the rate of rise and the area under the curve of caffeine-induced tension. BSA also potentiated the tension elicited in Ca2+-loaded fibers by low-Mgv solutions containing 1.0 mM free ATP. These results suggest that BSA modulates the response of the human skeletal muscle SR Ca2+-release channel to activators such as caffeine and ATP.
Viscosity of gums in vitro and their ability to reduce postprandial hyperglycemia in normal subjects
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Experiments were carried out in vitro with three viscous polysaccharides (guar gum, pectin, and carboxymethylcellulose (CMC)) of similar initial viscosity submitted to conditions that mimic events occurring in the stomach and duodenum, and their viscosity in these situations was compared to their actions on postprandial hyperglycemia in normal human subjects. Guar gum showed greater viscosity than the other gums during acidification and/or alkalinization and also showed larger effects on plasma glucose levels (35% reduction in maximum rise in plasma glucose) and on the total area under the curve of plasma glucose (control: 20,314 ± 1007 mg dl-1 180 min-1 vs guar gum: 18,277 ± 699 mg dl-1 180 min-1, P<0.01). Pectin, which showed a marked reduction in viscosity at 37oC and after events mimicking those that occur in the stomach and duodenum, did not have a significant effect on postprandial hyperglycemia. The performance of viscosity and the glycemia response to CMC were at an intermediate level between guar gum and pectin. In conclusion, these data suggest that temperature, the process of acidification, alkalinization and exposure to intestinal ions induce different viscosity changes in gums having similar initial viscosity, establishing a direct relationship between a minor decrease of gum viscosity in vitro and a reduction of postprandial hyperglycemia
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The bioavailability of propranolol depends on the degree of liver metabolism. Orally but not intravenously administered propranolol is heavily metabolized. In the present study we assessed the pharmacokinetics and pharmacodynamics of sublingual propranolol. Fourteen severely hypertensive patients (diastolic blood pressure (DBP) ³115 mmHg), aged 40 to 66 years, were randomly chosen to receive a single dose of 40 mg propranolol hydrochloride by sublingual or peroral administration. Systolic (SBP) and diastolic (DBP) blood pressures, heart rate (HR) for pharmacodynamics and blood samples for noncompartmental pharmacokinetics were obtained at baseline and at 10, 20, 30, 60 and 120 min after the single dose. Significant reductions in BP and HR were obtained, but differences in these parameters were not observed when sublingual and peroral administrations were compared as follows: SBP (17 vs 18%, P = NS), DBP (14 vs 8%, P = NS) and HR (22 vs 28%, P = NS), respectively. The pharmacokinetic parameters obtained after sublingual or peroral drug administration were: peak plasma concentration (CMAX): 147 ± 72 vs 41 ± 12 ng/ml, P<0.05; time to reach CMAX (TMAX): 34 ± 18 vs 52 ± 11 min, P<0.05; biological half-life (t1/2b): 0.91 ± 0.54 vs 2.41 ± 1.16 h, P<0.05; area under the curve (AUCT): 245 ± 134 vs 79 ± 54 ng h-1 ml-1, P<0.05; total body clearance (CLT/F): 44 ± 23 vs 26 ± 12 ml min-1 kg-1, P = NS. Systemic availability measured by the AUCT ratio indicates that extension of bioavailability was increased 3 times by the sublingual route. Mouth paresthesia was the main adverse effect observed after sublingual administration. Sublingual propranolol administration showed a better pharmacokinetic profile and this route of administration may be an alternative for intravenous or oral administration.
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In patients with uremia, intact parathyroid hormone (PTH) measurement appears to overestimate the biologically active hormone in circulation. The recent description of the accumulation in these patients of a non-intact PTH form measured by the standard immunometric assays, re-opened the question. In this study we submitted serum samples from 7 patients with primary hyperparathyroidism (PHP) and from 10 patients with hyperparathyroidism secondary to chronic renal failure (SHP) to preparative HPLC in order to discriminate the molecular forms measured by our currently used immunofluorometric assay for intact PTH. The elution profile obtained with the HPLC system showed two clearly defined peaks, the first one corresponding to a lower molecular weight form, and the second to the intact PTH (1-84) form. In patients with SHP the area under the curve for the first peak (mean 29.5%, range 20.6 to 40.4%) was significantly greater than that observed for patients with PHP (mean 15.6%, range 5.6 to 21.9%). This confirms previous studies showing accumulation of molecular forms of slightly lower molecular weight, presumably PTH (7-84), in patients with SHP and, to a lesser extent, in patients with PHP. The real necessity of assays that discriminate between these two molecular forms is debatable.