8 resultados para disease severity
em AMS Tesi di Dottorato - Alm@DL - Università di Bologna
Resumo:
Admission blood lactate concentration has been shown to be a useful indicator of disease severity in human medicine and numerous studies have associated hyperlactatemia with patients at high risk of death who should be treated aggressively regardless of the cause of the lactate generation. The degree and duration of hyperlactacidaemia also have been correlated with the subsequent development of organ failure. Similarly, in a small number of studies about equine colic, blood lactate concentration has been investigated as a useful prognostic variable . In neonatal foals blood lactate was studied first by Magdesian (2003) who described venous blood lactate concentration in 14 normal foals during the initial 48 hours post-partum. A preliminary study about lactate concentration in foals presenting to a neonatal intensive care unit reported that surviving foals had earlier lactate clearance. The measurement of blood lactate concentration is traditionally available with a wet chemistry laboratory method or with blood-gas analyzers, for clinicians working at university or large private hospital. But this methods may not be easily accessible to many practitioners in field conditions. Several relatively inexpensive, easy to use and rapid pocket size monitors to measure lactate concentration have been validated in human patients and athletes. None of these portable lactate analyzer have been evaluated in clinically normal neonatal foals or in foals referred to a neonatal intensive care unit. The aims of this study were to validate the Lactate Scout analyzer in neonatal foals, investigating the correlation between lactate concentration in whole blood measured with the portable monitor and measured in plasma with the reference laboratory analyzer. The effect of hematocrit (Hct) on the accuracy of Lactate Scout was also evaluated. Further, we determined the utility of venous lactate measurement in critically-ill foals, describing lactate values in the most frequent neonatal pathologies, evaluating serial blood lactate measurements during hospitalization and investigating its prognostic value. The study also describes normal range for lactate in healthy neonatal foals during the first 72 hours of life.
Resumo:
Impairment due to narcolepsy strongly limits job performance, but there are no standard criteria to assess disability in people with narcolepsy and a scale of disease severity is still lacking. We explored: 1. the interobserver reliability among Italian Medical Commissions making disability and handicap benefit decisions for people with narcolepsy, searching for correlations between the recognized disability degree and patients’ features; 2. the willingness to report patients to the driving licence authority; 3. possible sources of variance in judgement. Fifteen narcoleptic patients were examined by four Medical Commissions in simulated sessions. Raw agreement and interobserver reliability among Commissions were calculated for disability and handicap benefit decisions and for driving licence decisions. Levels of judgement differed on percentage of disability (p<0.001), severity of handicap (p=0.0007) and the need to inform the driving licence authority (p=0.032). Interobserver reliability ranged from Kappa = - 0.10 to Kappa = 0.35 for disability benefit decision and from Kappa = - 0.26 to Kappa = 0.36 for handicap benefit decision. The raw agreement on driving licence decision ranged from 73% to 100% (Kappa not calculable). Spearman’s correlation between percentages of disability and patients’ features showed correlations with age, daytime naps, sleepiness, cataplexy and quality of life. This first interobserver reliability study on social benefit decisions for narcolepsy shows the difficulty of reaching an agreement in this field, mainly due to variance in interpretation of the assessment criteria. The minimum set of indicators of disease severity correlating with patients’ self assessments encourages a disability classification of narcolepsy.
Resumo:
Tomato (Lycopersicon esculentum Mill., Solanum lycopersicon L.) is one of the most popular vegetable throughout the world, and the importance of its cultivation is threatened by a wide array of pathogens. In the last twenty years this plant has been successfully used as a model plant to investigate the induction of defense pathways after exposure to fungal, bacterial and abiotic molecules, showing triggering of different mechanisms of resistance. Understanding these mechanisms in order to improve crop protection is a main goal for Plant Pathology. The aim of this study was to search for general or race-specific molecules able to determine in Solanum lycopersicon immune responses attributable to the main systems of plant defense: non-host, host-specific and induced resistance. Exopolysaccharides extracted by three fungal species (Aureobasidium pullulans, Cryphonectria parasitica and Epicoccum purpurascens), were able to induce transcription of pathogenesis-related (PR) proteins and accumulation of enzymes related to defense in tomato plants cv Money Maker,using the chemical inducer Bion® as a positive control. During the thesis, several Pseudomonas spp. strains were also isolated and tested for their antimicrobial activity and ability to produce antibiotics. Using as a positive control jasmonic acid, one of the selected strain was shown to induce a form of systemic resistance in tomato. Transcription of PRs and reduction of disease severity against the leaf pathogen Pseduomonas syringae pv. tomato was determined in tomato plants cv Money Maker and cv Perfect Peel, ensuring no direct contact between the selected rhizobacteria and the aerial part of the plant. To conclude this work, race-specific resistance of tomato against the leaf mold Cladosporium fulvum is also deepened, describing the project followed at the Phytopathology Laboratory of Wageningen (NL) in 2007, dealing with localization of a specific R-Avr interaction in transfected tomato protoplast cultures through fluorescence microscopy.
Resumo:
The objective was to analyse population structure and to determine genetic diversity of Erysiphe necator (syn. Uncinula necator) populations obtained from some vineyards located in the South-East Po valley (Italy). Powdery mildew is one of the most important fungal diseases of grapes (Vitis vinifera L.) throughout the world. The causal agent is the haploid, heterothallic ascomycete E. necator. It is an obligate biotrophic fungus and it can be found only on green organs of plants belonging to the family Vitaceae. For this pathogen, two sympatric populations (groups A and B) have been described in Europe and Australia. The two genetic groups differ at multiple genetic loci and previous studies reported a lack of interfertility among isolates of the two groups. There are now several well documented examples of plant pathogen species, such as Leptosphaeria maculans, Gaeumannomyces graminis var. tritici, Botrytis cinerea and Erysiphe syringae, which are indeed composed of genetically differentiated clades, that have led to the description of new groups or even new species. Several studies have suggested that genetic E. necator group A and B correlated with ecological features of the pathogen; some researchers proposed that group A isolates over-winter as resting mycelium within dormant buds, and in spring originate infected shoots, known as Flag shoots, while group B isolates would survive as ascospores in overwintering cleistothecia. However, the association between genetic groups and mode of over-wintering has been challenged by recent studies reporting that flag-shoot may be originated indifferently by group A or group B isolate. Previous studies observed a strong association between the levels of disease severity at the end of the growing season and the initial compositions of E. necator populations in commercial vineyards. The frequencies of E. necator genetic groups vary considerably among vineyards, and the two groups may coexist in the same vineyard. This finding suggests that we need more information on the genetics and epidemiology of E. necator for optimize the crop management In this study we monitored E. necator populations in different vineyards in Emilia – Romagna region (Italy), where the pathogen overwinters both as flagshoots and as cleistothecia. During the grape growing season, symptomatic leaves were sampled early in the growing season and both leaves and berries later during the epidemic growth of the disease. From each sample, single-conidial isolate was obtained. Each isolates was grown on V. vinifera leaf cv. Primitivo and after harvesting the mycelium, the DNA was purified and used as template for PCR amplification with SCAR primers (Sequences Characterised Amplified Region ), -tubulin, IGS sequences and Microsatellite markers (SSR). Amplified DNA from b-tubulin and IGS loci was digested with AciI and XhoI restriction enzymes, respectively, to show single-nucleotide polymorphisms specific for the two genetic groups. The results obtained indicated that SCAR primers are not useful to study the epidemiology. of E. necator conversely the b-tubulin IGS sequences and SSR. Summarize the results obtained with b-tubulin, IGS sequences, in treated vineyards we have found individuals of group B along all grape growing season, whereas in the untreated vineyard individuals of the two genetic groups A and B coexisted throughout the season, with no significant change of their frequency. DNA amplified from ascospores of single cleistothecia showed the presence of markers diagnostic for either groups A and B and were seldom observed also the coexistence of both groups within a claistothecium. These results indicate that individuals of the two groups mated in nature and were able to produced ascospores. With SSR we showed the possibility of recombination between A and B groups in field isolates. During winter, cleistothecia were collected repeatedly in the same vineyards sampling leaves fallen on ground, exfoliating bark from trunks, and from soil. From each substrate, was assess the percentage of cleistothecia containing viable ascospores. Our results confirmed that cleisthotecia contained viable ascospores, therefore they have the potential to be an additional and important source of primary inoculum in Emilia-Romagna vineyards.
Resumo:
IL-33 is a novel member of the IL-1 family and ligand for the IL-1 receptor-related protein, ST2. Recent evidence suggests that the IL-33/ST2 axis plays a critical role in several autoimmune and inflammatory disorders; however, its role in inflammatory bowel disease (IBD) has not been clearly defined. We characterized IL-33 and ST2 expression and modulation following conventional anti-TNF therapy in Crohn’s disease and ulcerative colitis (UC) patients, and investigated the role of IL-33 in SAMP1/YitFc (SAMP) mice, a mixed Th1/Th2 model of IBD. Our results showed a specific increase of mucosal IL-33 in active UC, localized primarily to intestinal epithelial cells (IEC) and colonic inflammatory infiltrates. Importantly, increased expression of full-length IL-33, representing the most bioactive form, was detected in UC epithelium, while elevated levels of cleaved IL-33 were present in IBD serum. ST2 isoforms were differentially modulated in UC epithelium and sST2, a soluble decoy receptor with anti-inflammatory properties, was also elevated in IBD serum. Infliximab (anti-TNF) treatment of UC decreased circulating IL-33 and increased sST2, while stimulation of HT-29 IEC confirmed IL-33 and sST2 regulation by TNF. Similarly, IL-33 significantly increased and correlated with disease severity, and potently induced IL-5, IL-6 and IL-17 from mucosal immune cells in SAMP mice. Taken together, the IL-33/ST2 system plays an important role in IBD and experimental colitis, is modulated by anti-TNF therapy, and may represent a specific biomarker for active UC.
Resumo:
Asthma and chronic obstructive pulmonary disease (COPD) are two distinct lung diseases with distinctive clinical and inflammatory features. A proportion of asthmatic patients experience a fixed airflow obstruction that persists despite optimal pharmacologic treatment for reasons that are still largely unknown. We found that patients with asthma and COPD sharing a similar fixed airflow obstruction have an increased lung function decline and frequency of exacerbations. Nevertheless, the decline in lung function is associated with specific features of the underlying inflammation. Airway inflammation increases during asthma exacerbation and disease severity. Less is known about the correlations between symptoms and airway inflammation in COPD patients. We found that there is no correlation between symptoms and lung function in COPD patients. Nevertheless symptoms changes are associated with specific inflammatory changes: cough is associated with an increase of sputum neutrophils in COPD, dyspnoea is associated with an increase of eosinophils. The mechanisms of this correlation remain unknown. Neutrophils inflammation is associated with bacterial colonization in stable COPD. Is not known whether inhaled corticosteroids might facilitate bacterial colonization in COPD patients. We found that the use of inhaled corticosteroids in COPD patients is associated with an increase of airway bacterial load and with an increase of airway pathogen detection. Bacterial and viral infections are the main causes of COPD and asthma exacerbations. Impaired innate immune responses to rhinovirus infections have been described in adult patients with atopic asthma. Whether this impaired immune condition is present early in life and whether is modulated by a concomitant atopic condition is currently unknown. We found that deficient innate immune responses to rhinovirus infection are already present early in life in atopic patients without asthma and in asthmatic subjects. These findings generalize the scenario of increased susceptibility to viral infections to other Th2 oriented conditions.
Resumo:
Dysfunction of Autonomic Nervous System (ANS) is a typical feature of chronic heart failure and other cardiovascular disease. As a simple non-invasive technology, heart rate variability (HRV) analysis provides reliable information on autonomic modulation of heart rate. The aim of this thesis was to research and develop automatic methods based on ANS assessment for evaluation of risk in cardiac patients. Several features selection and machine learning algorithms have been combined to achieve the goals. Automatic assessment of disease severity in Congestive Heart Failure (CHF) patients: a completely automatic method, based on long-term HRV was proposed in order to automatically assess the severity of CHF, achieving a sensitivity rate of 93% and a specificity rate of 64% in discriminating severe versus mild patients. Automatic identification of hypertensive patients at high risk of vascular events: a completely automatic system was proposed in order to identify hypertensive patients at higher risk to develop vascular events in the 12 months following the electrocardiographic recordings, achieving a sensitivity rate of 71% and a specificity rate of 86% in identifying high-risk subjects among hypertensive patients. Automatic identification of hypertensive patients with history of fall: it was explored whether an automatic identification of fallers among hypertensive patients based on HRV was feasible. The results obtained in this thesis could have implications both in clinical practice and in clinical research. The system has been designed and developed in order to be clinically feasible. Moreover, since 5-minute ECG recording is inexpensive, easy to assess, and non-invasive, future research will focus on the clinical applicability of the system as a screening tool in non-specialized ambulatories, in order to identify high-risk patients to be shortlisted for more complex investigations.
Resumo:
Advances in biomedical signal acquisition systems for motion analysis have led to lowcost and ubiquitous wearable sensors which can be used to record movement data in different settings. This implies the potential availability of large amounts of quantitative data. It is then crucial to identify and to extract the information of clinical relevance from the large amount of available data. This quantitative and objective information can be an important aid for clinical decision making. Data mining is the process of discovering such information in databases through data processing, selection of informative data, and identification of relevant patterns. The databases considered in this thesis store motion data from wearable sensors (specifically accelerometers) and clinical information (clinical data, scores, tests). The main goal of this thesis is to develop data mining tools which can provide quantitative information to the clinician in the field of movement disorders. This thesis will focus on motor impairment in Parkinson's disease (PD). Different databases related to Parkinson subjects in different stages of the disease were considered for this thesis. Each database is characterized by the data recorded during a specific motor task performed by different groups of subjects. The data mining techniques that were used in this thesis are feature selection (a technique which was used to find relevant information and to discard useless or redundant data), classification, clustering, and regression. The aims were to identify high risk subjects for PD, characterize the differences between early PD subjects and healthy ones, characterize PD subtypes and automatically assess the severity of symptoms in the home setting.