Water quality and human health: A simple monitoring model of toxic cyanobacteria growth in highly variable Mediterranean hot dry environments

Due to population growth, urbanization and economic development, demand for freshwater in urban areas is increasing throughout Europe. At the same time, climate change, eutrophication and pollution are affecting the availability of water supplies. Sicily, a big island in southern Italy, suffers from an increasing drought and consequently water shortage. In the last decades, in Sicilian freshwater reservoirs several Microcystis aeruginosa and more recently Planktothrix rubescens blooms were reported. The aims of the study were: (1) identify and quantify the occurring species of cyanobacteria (CB), (2) identify which parameters, among those investigated in the waters, could favor their growth, (3) set up a model to identify reservoirs that need continuous monitoring due to the presences, current or prospected, of cyanobacterial blooms and of microcystins, relevant for environmental and, consequentially, for human health. Fifteen artificial reservoirs among the large set of Sicilian artificial water bodies were selected and examined for physicochemical and microbiological characterization. Additional parameters were assessed, including the presence, identification and count of the cyanobacterial occurring species, the measurement of microcystins (MCs) levels and the search for the genes responsible for the toxins production. Principal Component Analysis (PCA) was used to relate environmental condition to cyanobacterial growth. Water quality was poor for very few parameters, suggesting common anthropic pressures, and PCA highlighted clusters of reservoirs vulnerable to hydrological conditions, related to semi-arid Mediterranean climate and to the use of the reservoir. In summer, bloom was detected in only one reservoir and different species was highlighted among the Cyanobacteria community. The only toxins detected were microcystins, although always well below the WHO reference value for drinking waters (1.0 μg/L). However, molecular analysis could not show the presence of potential cyanotoxins producers since a few numbers of cells among total could be sufficient to produce these low MCs levels but not enough high to be proved by the traditional molecular method applied. A simple environmental risk-based model, which accounts for the high variability of both cyanobacteria growth and cyanotoxins producing, is proposed as a cost-effective tool to evaluate the need for monitoring activities in reservoirs aimed to guarantee supplying waters safety.

The cortisol burden in elderly subjects with metabolic syndrome and its association with low-grade inflammation

BACKGROUND

Elderly people are exposed to an increased load of stressful events and neuro-hormonal stimulation is a key finding in metabolic syndrome and its related disorders.

AIMS

To determine the role of cortisol in elderly subjects, with or without metabolic syndrome (MetS), by means of a national multicentre observational study, AGICO (AGIng and Cortisol).

METHODS

From 2012 to 2017, the AGICO study enrolled n.339 subjects (aged > 65), after obtaining their informed consent. The investigators assessed a cardio-metabolic panel (including electrocardiogram, carotid ultrasonography and echocardiography), the presence of MetS (on Adult Treatment Panel III criteria), a neurological examination (including brain imaging), and cortisol activity (using a consecutive collection of diurnal and nocturnal urine).

RESULTS

In the patients presenting with MetS, the standardized diurnal and nocturnal cortisol excretion rates were 210.7 ± 145.5 and 173.7 ± 118.1 (mean ± standard deviation) μg/g creatinine/12 h; in those without MetS, the standardized diurnal and nocturnal cortisol excretion rates were 188.7 ± 92.7 and 144.1 ± 82.3 μg/g creatinine/12 h, respectively (nocturnal urinary cortisol in patients with MetS versus those without MetS p = 0.05, female patients with MetS vs female patients without MetS, p < 0.025). A significant positive correlation was found between the CRP levels and both the diurnal and nocturnal urinary cortisol levels with r = 0.187 (p < 0.025) and r = 0.411 (p < 0.00000001), respectively.

DISCUSSION

The elderly patients with MetS showed a trend towards increased standardized nocturnal cortisol excretions, with particular regard to the female subjects.

CONCLUSION

The positive correlation between cortisol excretion and low-grade inflammation suggests a common mechanism driving both hormonal and inflammatory changes.

Ontology and Terminology Servers in Agent-based Health-care Information Systems

A new research paradigm is emerging based on the multi-agent system architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. Within a multi-agent system, the different “views of the world” of knowledgeable agents are to be bridged through their commitment to common ontologies and terminologies. We developed a general methodology for the design or integration of new components into a Health-care Information System conceived as a network of software and human agents. In our view, ontological and terminological services are entrusted to dedicated agents, namely ontology and terminology servers, allowing the configuration of suitable application ontologies for distributed applications. The role is described that such servers, operatively coordinated in order to preserve semantic coherence, should play within a distributed Health-care Information System.

An Ontology-based Multi-agent Architecture for Distributed Health-care Information Systems

Managing patients in a shared-care context is a knowledge-intensive activity. To support cooperative work in medical care, computer technology should both augment the capabilities of individual specialists and enhance their ability of interacting with each other and with computational resources. Thus, a major shift is needed from centralized first generation health-care information systems to distributed environments composed of several interconnected agents, cooperating in maintaining a full track of the patient clinical history and supporting health-care providers in all the phases of the patient-management process. This paper outlines a general methodology to make architectural choices while designing or integrating new software components into a distributed health-care information system. A particular stress is laid on the specification of shared conceptual models, or ontologies, providing agents committing to them with the common semantic foundation required for effective interoperation.

Towards Cooperative Patient Management Through Organizational and Medical Ontologies

Within knowledge and data engineering a new research paradigm is emerging based on the Multi-Agent System (MAS) architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. In such a framework, knowledgeable agents of heterogeneous nature, that possess diverse but at least partially compatible or inter-translatable conceptual views, or ontologies, modeling both their own expertise and the external environment, make somehow available their information resources or problem-solving abilities for cooperative processes addressing the construction of a new agent or the achievement of some common goal through a correlated execution of tasks.

In this paper, we restrict our analysis to the case of an organization of cognitive agents, illustrated with examples from a prototypical healthcare MAS, that is, a so-called Distributed Healthcare Information System (D-HIS). The prototype makes use of an ontological library written in the standard language Ontolingua. An ongoing application of the methodology to the main problem of Clinical Practice Guidelines (GLs) computer-based dissemination and enforcement is described.

Knowledge-Acquisition Tools for Medical Knowledge-Based Systems

Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers and domain experts to interact cooperatively in developing a medical KBS. To this aim, a set of reusable software components is highly recommended. Their design was facilitated by the development of a methodology for KBS construction. It views this process as comprising two activities: the tailoring of the epistemological model to the specific medical task to be executed and the subsequent translation of this model into a computational architecture so that the connections between computational structures and their knowledge level counterparts are maintained. The KA tools we developed are illustrated taking examples from the behavior of a KBS we are building for the management of children with acute myeloid leukemia.

Knowledge Management to Support Performance-based Medicine

Objectives: To discuss research issues for medical informatics in order to support the further development of health information systems, exploiting knowledge management and information and communication technology to increase the performance of Health Care Organizations (HCOs).

Methods: Analyze the potential of exploiting knowledge management technology in medicine.

Results and conclusions: The increasing pressure on HCOs to ensure efficiency and cost-effectiveness, balance the quality of care, and contain costs will drive them towards more effective management of medical knowledge derived from biomedical research. Knowledge management technology may provide effective methods and tools in speeding up the diffusion of innovative medical procedures. Reviews of the effectiveness of various methods of best practice dissemination show that the greatest impact is achieved when such knowledge is made accessible through the health information system at the moment it is required by care providers at their work sites. There is a need to take a more clinical process view of health care delivery and to identify the appropriate organizational and information infrastructures to support medical work. Thus, the great challenge for medical informatics is represented by the effective exploitation of the astonishing capabilities of new technologies to assure the conditions of knowledge management and organizational learning within HCOs.

The M2DM Project

Objectives: This paper presents a multi-access service for the management of diabetes mellitus patients and the results of its assessment in two Italian clinical sites.

Methods: The service was evaluated for one year in order to prove the advantages of these kind of systems from different points of view. In this paper the clinical, usability and technical outcomes are presented.

Results: The evaluation results show that, thanks to the high flexibility of the implemented service, the tele-medicine management of diabetes patients is feasible, well accepted by patients and clinically effective. However, in Italy the problem of quantifying the reimbursement rate of telematic services and the impact they have on the organization are factors that may hamper their introduction in routine clinical practice.

Conclusions: The evaluation study showed that the telemedicine intervention has been satisfactory both for physicians because it allows to constantly monitor the patients’ blood glucose level and for patients because it strengthens their motivation to self-monitor the metabolic situation.

Clinical Guidelines as Plans

Objective: Clinical guidelines are special types of plans realized by collective agents. We provide an ontological theory of such plans that is designed to support the construction of a framework in which guideline-based information systems can be employed in the management of workflow in health care organizations.

Method: The framework we propose allows us to represent, in formal terms, how clinical guidelines are realized through the actions of individuals or ganized into teams. We provide various levels of implementation representing different levels of conformity on the part of health care organizations.

Result: Implementations built in conformity with our framework are marked by two dimensions of flexibility that are designed to make them more likely to be accepted by health care professionals than standard guideline-based management systems. They do justice to the fact 1) that responsibilities within a health care organization are widely shared, and 2) that health care professionals may on different occasions be non-compliant with guidelines for a variety of well justified reasons.

Conclusion: The advantage of the framework lies in its built-in flexibility, its sensitivity to clinical context, and its ability to use inference tools based on a robust ontology. One disadvantage lies in its complicated implementation.

Knowledge and Process Management in Health Care Organizations

Objective: Medical knowledge management and care process management have become to be considered as valuable strategic assets that can lead to sustained increase in Health Care Organization (HCO) performance. Thus, it is essential to investigate which are the enablers for promoting knowledge-based organizations (people, organization, process, and system perspectives). Although they are essential for a HCO to manage knowledge effectively, it is still unclear how to employ them in more principled fashion. This requires innovative management strategies to determine effective ways of utilizing knowledge resources and capabilities available both within and outside the organization.

Method: This paper reviews knowledge and process management theories, methods, and technologies that are potentially effective in building high performance HCOs. They come from a variety of fields behind computer science and medical informatics, e.g. from business and organization sciences to psychological and cognitive sciences, from epistemology to sociology. However, the success in developing future Health Information Systems (HIS) requires their incorporation into a new conceptual framework after recognizing how peculiar are the characteristics of HCOs with respect to other organizations. Investigating the nature of knowledge, in general, and of medical knowledge, in particular, is essential to define which services the future HIS should provide to foster collaboration between patients and health professionals. The knowledge creation process is then described in order to emphasize its dynamic and social characteristics. The potential of workflow technology for building innovative HISs is analyzed together with several basic research issues which are very challenging for researchers in the field.

Result: A framework for augmenting the conceptual analysis of theories, methods, tools and effects of knowledge management in building high performance HCOs.

Corrole and nucleophilic aromatic substitution are not incompatible: a novel route to 2,3-difunctionalized copper corrolates

The insertion of a -NO2 group onto the corrole framework represents a key step for subsequent synthetic manipulation of the macrocycle based on the chemical versatility of such a functionality. Here we report results of the investigation of a copper 3-NO2-triarylcorrolate in nucleophilic aromatic substitution reactions with "active" methylene carbanions, namely diethyl malonate and diethyl 2-chloromalonate. Although similar reactions on nitroporphyrins afford chlorin derivatives, nucleophilic attack on carbon-2 of corrole produces 2,3-difunctionalized Cu corrolates in acceptable yields (ca. 30%), evidencing once again the erratic chemistry of this contracted porphyrinoid.

Multiple Sclerosis in Newfoundland and Labrador - A Model for Disease Prevalence

Background:

Newfoundland and Labrador, Canada, have been almost exclusively populated by immigrants from southwest England and southeast Ireland. The province’s population grew largely by natural increase from 20,000 people in 1835 to half a million at present. Very little interregional migration occurred within the province. This uniquely-populated region and its subsequent founder effect provide the basis to develop models of disease prevalence.

Objectives:

To develop a model for the regional prevalence of multiple sclerosis (MS), accounting for settlement patterns and geographic location (latitude).

Methods:

All living MS patients with confirmed addresses (438 patients) in the province were mailed a survey requesting their place of birth. Regional prevalences were calculated from a 75% rate of return of the survey. Theoretical regional prevalences were proportionally calculated from the source prevalences of southwest England, southeast Ireland, Scotland and the Channel Islands based on settlement patterns. These theoretical regional prevalences were corrected for geographical variations of latitude based on observations in the United Kingdom. Theoretical and actual regional prevalences were compared.

Results:

When actual regional prevalences were compared with theoretical prevalences, very little variation was noted, especially after correcting for variation in latitude.

Conclusion:

A regional variation in MS prevalence is noted in the island portion of Newfoundland and Labrador. This regional variation can be modeled by using both migration patterns and latitudinal position. This model demonstrates that the prevalence of MS is influenced by both genetic and environmental contributions.

Incidence and Prevalence of Multiple Sclerosis in Newfoundland and Labrador

Background:

The incidence and prevalence of multiple sclerosis (MS) in Newfoundland and Labrador (NL) had been reported in 1984 and was considered to be relatively low at that time. This study revisits the incidence and prevalence of MS in NL for the year 2001.

Methods:

Case searches through patient files of neurologists in NL were conducted. A complete list of patients billed for MS in NL between 1996 and 2003 was obtained and all cases were confirmed via chart review.

Results:

There were 493 living MS patients yielding a prevalence of 94.4/100,000 which is significantly higher than previously reported. Of the living patients, 330 had relapsing remitting (RRMS), 94 had secondary progressive, 66 had primary progressive (PPMS) and three had unspecified MS. The total female to male ratio was 2.7:1. There was no difference between the female to male ratios for RRMS vs PPMS. Patients with PPMS had a later onset compared to RRMS (p<0.00001). Yearly incidences were relatively constant from 1994 to 2001 (5.6/100,000). Significant delays between first symptoms and final diagnosis were common and the delay time has not changed over the past 15 years. A prevalence of 88.9/100,000 was estimated from survival and incidence trends and was not significantly different than the measured prevalence (p=0.38).

Conclusion:

The increase in incidence and prevalence are accounted for through both better access to diagnostic facilities and more practicing neurologists. The revised prevalence and incidence are more in keeping with recently reported values throughout Canada.

Conclusion:

L’augmentation de l’incidence et de la prÉvalence se justifient par une plus grande accessibilitÉ aux moyens diagnostiques et par la prÉsence d’un plus grand nombre de neurologues. La prÉvalence et l’incidence que nous rapportons sont plus conformes à celles rapportÉes rÉcemment à travers le Canada.

3-NO2-5,10,15-triarylcorrolato-Cu as a versatile platform for synthesis of novel 3-functionalized corrole derivatives

β-Nitrocorroles are potentially valuable platforms for the preparation of a wide range of more elaborated corrole derivatives possessing unique chemical functionalities and electronic properties. Here we report our results on the chemical manipulation of a copper 3-NO2-triarylcorrolate using different organic reactions, all involving the reduction of -NO2 to -NH2 at an early stage, followed by further transformations. By way of a β-acylated copper corrolate, a novel corrole derivative bearing an alkyl azide group on the peripheral positions was obtained and exploited in the Huisgen 1,3-dipolar cycloaddition.

Microbial mechanisms coupling carbon and phosphorus cycles in phosphorus-limited northern Adriatic Sea

The coastal northern Adriatic Sea receives pulsed inputs of riverine nutrients, causing phytoplankton blooms and seasonally sustained dissolved organic carbon (DOC) accumulation-hypothesized to cause episodes of massive mucilage. The underlying mechanisms regulating P and C cycles and their coupling are unclear. Extensive biogeochemical parameters, processes and community composition were measured in a 64-day mesocosms deployed off Piran, Slovenia. We followed the temporal trends of C and P fluxes in P-enriched (P+) and unenriched (P-) mesocosms. An intense diatom bloom developed then crashed; however, substantial primary production was maintained throughout, supported by tightly coupled P regeneration by bacteria and phytoplankton. Results provide novel insights on post-bloom C and P dynamics and mechanisms. 1) Post-bloom DOC accumulation to 186 μM remained elevated despite high bacterial carbon demand. Presumably, a large part of DOC accumulated due to the bacterial ectohydrolytic processing of primary productivity that adventitiously generated slow-to-degrade DOC; 2) bacteria heavily colonized post-bloom diatom aggregates, rendering them microscale hotspots of P regeneration due to locally intense bacterial ectohydrolase activities; 3) Pi turnover was rapid thus suggesting high P flux through the DOP pool (dissolved organic phosphorus) turnover; 4) Alpha- and Gamma-proteobacteria dominated the bacterial communities despite great differences of C and P pools and fluxes in both mesocosms. However, minor taxa showed dramatic changes in community compositions. Major OTUs were presumably generalists adapted to diverse productivity regimes.We suggest that variation in bacterial ectohydrolase activities on aggregates, regulating the rates of POM→DOM transition as well as dissolved polymer hydrolysis, could become a bottleneck in P regeneration. This could be another regulatory step, in addition to APase, in the microbial regulation of P cycle and the coupling between C and P cycles.

Sex steroids in autoimmune diseases

A sexual dysmorphism in the immune response has been described and females display an increased incidence of autoimmune diseases. Experimental data show that sex steroids influence immune cell development and have immunomodulatory effects. The distribution, the action (genomic and nongenomic), the sex and tissue-depending expression pattern of estrogen, progesterone and androgen receptors and their functional disruptions in corresponding receptor knockout animals will be discussed, pointing out the difference among sex steroid hormones. Recent advances indicate an immunomodulatory role of sex steroids in the pathogenesis of systemic lupus erythematosus, multiple sclerosis and rheumatoid arthritis. The outcomes of the clinical trials will help to find the best use of sex steroids in combination with current therapeutic drugs in autoimmune diseases. Sex steroid receptor modulating drugs will provide new therapeutic approaches in these pathologies.

Workflow management systems for guideline implementation

The activities of care providers need to be coordinated within a process properly designed on the basis of available best practice medical knowledge. It requires a rethinking of the management of care processes within health-care organisations. The current workflow technology seems to offer the most convenient solution to build such cooperative systems. However, some of its present weaknesses still require an intense research effort to find solutions allowing its exploitation in real medical practice. This paper presents an approach to design and build evidence-based workflow management systems (WfMS). They can be viewed as components of a knowledge management infrastructure each health care organisation should be provided with, to increase its performance in delivering high-quality care, by efficiently exploiting the available knowledge resources. On the basis of a general methodology, we describe a WfMS implementation in the area of Stroke management; such a system, after intensive testing in our research laboratory, is now in the process of being transferred in a real working setting (a stroke unit) and integrated with an existing electronic patient record.

The relation between menarche and the age of first symptoms in a multiple sclerosis cohort

BACKGROUND

Previously, multiple sclerosis (MS) has been thought to be associated with changes in hormone levels. This study investigates the association between the age of menarche and the age of onset of the first symptoms of MS.

METHODS

A complete list of patients diagnosed with MS in the province of Newfoundland and Labrador was constructed. The age of menarche for our entire relapsing remitting female MS (RRMS) population was requested by mailout survey. Age of symptom onset was ascertained by chart review.

RESULTS

A 74% rate of return on the survey results was obtained (150 RRMS patients). A linear regression model demonstrated that the age of first symptoms increased by 1.16 years as the age of menarche increased by one year (R2 = 0.69, P = 0.04). Another analysis showed that the average age of first symptoms for women with reported menarche from 10 to 12 years was 28.96 years compared with 31.83 years for a reported menarche from 13 to 15 years, a significant difference (P = 0.047, t-test).

CONCLUSIONS

This study suggests that menarche may be related to the pathogenesis of MS.

Clinical guidelines as plans--an ontological theory

OBJECTIVE

Clinical guidelines are special types of plans realized by collective agents. We provide an ontological theory of such plans that is designed to support the construction of a framework in which guideline-based information systems can be employed in the management of workflow in health care organizations.

METHOD

The framework we propose allows us to represent, in formal terms, how clinical guidelines are realized through the actions of individuals or ganized into teams. We provide various levels of implementation representing different levels of conformity on the part of health care organizations.

RESULT

Implementations built in conformity with our framework are marked by two dimensions of flexibility that are designed to make them more likely to be accepted by health care professionals than standard guideline-based management systems. They do justice to the fact 1) that responsibilities within a health care organization are widely shared, and 2) that health care professionals may on different occasions be non-compliant with guidelines for a variety of well justified reasons.

CONCLUSION

The advantage of the framework lies in its built-in flexibility, its sensitivity to clinical context, and its ability to use inference tools based on a robust ontology. One disadvantage lies in its complicated implementation.

The M2DM Project--the experience of two Italian clinical sites with clinical evaluation of a multi-access service for the management of diabetes mellitus patients

OBJECTIVES

This paper presents a multi-access service for the management of diabetes mellitus patients and the results of its assessment in two Italian clinical sites.

METHODS

The service was evaluated for one year in order to prove the advantages of these kind of systems from different points of view. In this paper the clinical, usability and technical outcomes are presented.

RESULTS

The evaluation results show that, thanks to the high flexibility of the implemented service, the telemedicine management of diabetes patients is feasible, well accepted by patients and clinically effective. However, in Italy the problem of quantifying the reimbursement rate of telematic services and the impact they have on the organization are factors that may hamper their introduction in routine clinical practice.

CONCLUSIONS

The evaluation study showed that the telemedicine intervention has been satisfactory both for physicians because it allows to constantly monitor the patients' blood glucose level and for patients because it strengthens their motivation to self-monitor the metabolic situation.

Co-occurrence of autoimmune thyroid disease in a multiple sclerosis cohort

Background

Multiple sclerosis (MS), Hashimoto's disease and Graves' disease are autoimmune diseases that may share similar pathogenic mechanisms. The co-occurrence rates and demographic characteristics of Graves' disease and Hashimoto's disease (HT) in our MS population are compared with the general population.

Methods

The prevalence of thyroid disease in our MS patients was determined by chart review and survey. Previous diagnosis of thyroid disease, age at diagnosis, treatment used, and about the use of disease modifying medications used to treat their MS were asked. Chart reviews were used to estimate the population prevalence of Graves' disease and Hashimoto's disease and to estimate the demographics of patients with thyroid disease.

Results

A significant co-occurrence of Graves' disease with MS (p = 0.002), and a non-significant co-occurrence of Hashimoto's disease were noted (p = 0.097). No difference in the age of onset or gender of thyroid disease in MS patients compared to the general population was found.

Conclusion

There is a significant co-occurrence in patients with MS and Graves' disease, and a trend to co-occurrence in patients with MS and Hashimoto's disease. There are no differences in the demographics of patients with thyroid disease in our MS patients compared to the general population.

The mechanism of action of methylprednisolone in the treatment of multiple sclerosis

Methylprednisolone plays an important role in the current treatment of multiple sclerosis (MS), particularly in the acute phase of relapse. It acts in various ways to decrease the inflammatory cycle including: dampening the inflammatory cytokine cascade, inhibiting the activation of T cells, decreasing the extravasation of immune cells into the central nervous system, facilitating the apoptosis of activated immune cells, and indirectly decreasing the cytotoxic effects of nitric oxide and tumor necrosis factor alpha. This paper reviews the most recent observations on these mechanisms both to understand the disease mechanism and its treatment. As more becomes known about these mechanisms, it may become possible to design treatment regimes that are more specific towards both the individual and the disease state.

Knowledge Management In Health Care Organizations

This review article analyzes theories, methods, and technologies that can be effective in building a socio-technical environment within a health care organization that is able to facilitate the collaboration between individuals in the management of patient care and in expanding scientific and professional knowledge. The article is organized as follows. In section 2, I discuss the nature of knowledge in general and with a particular attention to medical knowledge. The future of health information systems (HIS) is discussed in section 3, which provides also an overview of theories for designing and developing such systems. Section 4 describes different types of collaboration, and reviews the methods and information and communication technologies (ICT), which can be exploited for knowledge creation and interaction management. The potential of workflow management technology for building innovative components within HIS is analyzed in section 5. Finally, section 6 presents the conclusions.

Knowledge and process management in health care organizations

OBJECTIVE

Medical knowledge management and care process management have become to be considered as valuable strategic assets that can lead to sustained increase in Health Care Organization (HCO) performance. Thus, it is essential to investigate which are the enablers for promoting knowledge-based organizations (people, organization, process, and system perspectives). Although they are essential for a HCO to manage knowledge effectively, it is still unclear how to employ them in more principled fashion. This requires innovative management strategies to determine effective ways of utilizing knowledge resources and capabilities available both within and outside the organization.

METHOD

This paper reviews knowledge and process management theories, methods, and technologies that are potentially effective in building high performance HCOs. They come from a variety of fields behind computer science and medical informatics, e.g. from business and organization sciences to psychological and cognitive sciences, from epistemology to sociology. However, the success in developing future Health Information Systems (HIS) requires their incorporation into a new conceptual framework after recognizing how peculiar are the characteristics of HCOs with respect to other organizations. Investigating the nature of knowledge, in general, and of medical knowledge, in particular, is essential to define which services the future HIS should provide to foster collaboration between patients and health professionals. The knowledge creation process is then described in order to emphasize its dynamic and social characteristics. The potential of workflow technology for building innovative HISs is analyzed together with several basic research issues which are very challenging for researchers in the field.

RESULT

A framework for augmenting the conceptual analysis of theories, methods, tools and effects of knowledge management in building high performance HCOs.

[Adjuvant adoptive immunotherapy in patients with stage III and resected stage IV melanoma: a pilot study]

Adoptive immunotherapy trials with tumor infiltrating lymphocytes (TIL) and interleukin-2 (IL-2) were carried out in the treatment of advanced melanoma with a 34% of overall responses (OR). However, theoretically it should be of greater benefit as adjuvant therapy, especially in high-risk stages (stage III and resected stage IV). In a pilot study, 22 patients (aged 23-72 years) with stage III-IV melanoma who underwent radical metastasectomy were reinfused with TIL cultivated and expanded in vitro with IL-2 from surgically removed metastases. IL-2 (starting dose 12 x 10(6) IU/m2) was co-administered as a continuous infusion according to West's scheme. A total of 8/22 (36.3%) patients were disease-free (DF) at a median follow-up of 5 years. DF survival (DFS) and overall survival (OS) in the remaining 14 patients were 44% and 37% and 52% and 45% at 2 and 3 years, respectively. The CNS was the only site of disease recurrence in 57% of patients who relapsed. DF patients received a higher median dose of IL-2 than those who progressed (total dose 110 x 10(6) vs 86 x 10(6) IU/m2, respectively). The progressive reduction in IL-2 dosage allowed all patients to complete treatment without permanent grade 4 toxicity. The effects of tumor immunosuppression in lymphocytes inside the tumor (TCR z and e chains, p56lck, FAS and FAS-ligand) confirmed that the potential function of TIL, immunodepressed at the time of metastasectomy, was significantly restored after in vitro, culture with IL-2. Adjuvant adoptive immunotherapy with TIL and IL-2 seems to improve DFS and OS, in comparison with literature data. Further studies are required to determine its role in the adjuvant treatment of patients with high-risk melanoma.

A telemedicine support for diabetes management: the T-IDDM project

In the context of the EU funded Telematic Management of Insulin-Dependent Diabetes Mellitus (T-IDDM) project, we have designed, developed and evaluated a telemedicine system for insulin dependent diabetic patients management. The system relies on the integration of two modules, a Patient Unit (PU) and a Medical Unit (MU), able to communicate over the Internet and the Public Switched Telephone Network. Using the PU, patients are allowed to automatically download their monitoring data from the blood glucose monitoring device, and to send them to the hospital data-base; moreover, they are supported in their every day self monitoring activity. The MU provides physicians with a set of tools for data visualization, data analysis and decision support, and allows them to send messages and/or therapeutic advice to the patients. The T-IDDM service has been evaluated through the application of a formal methodology, and has been used by European patients and physicians for about 18 months. The results obtained during the project demonstration, even if obtained on a pilot study of 12 subjects, show the feasibility of the T-IDDM telemedicine service, and seem to substantiate the hypothesis that the use of the system could present an advantage in the management of insulin dependent diabetic patients, by improving communications and, potentially, clinical outcomes.

[Maxillary sinus lift in conjunction with endosseous implants. A long-term follow-up scintigraphic study]

BACKGROUND

To evaluate the efficacy of bone scintigraphy in the long-term follow-up of maxillary sinus lift by a mixture of bovine hydroxyapatite and autologous fibrin glue in conjunction with the insertion of endosseous implants.

METHODS

A three-years follow-up study involved 18 surgical interventions performed on 14 edentulous patients (4 F; 10 M; mean age 49 yrs) suffering from mono or bilateral severe distal maxillary resorbtion. The bone scintigraphy of the skull was performed before, 1-18 months and 36 months post-intervention. Perimplant bone metabolism was quantified by a parameter called M/V index, used to statistically compare normal, atrophic and regenerate maxillary bone. Conventional radiographies were performed every six months; CT dental-scan 12 months post-intervention.

RESULTS

Bone perimplant metabolism showed top values 1-4 months post-intervention (M/V%2-2.2); then it showed a decreasing trend and the lowest values 36 months post-intervention. M/V index in the atrophic (0.6) and normal (0.7) maxillary bone was lower (p<0.05) than in the new formed one (0.8). Radiologically a good integration of the dental implants was found in the new formed bone; the CT-measured average maxillary height was equal to 1 cm.

CONCLUSIONS

The combination of several bioactive components in the mixture used didn't allow to detect the bone inductive role of the single products. Instead, quantitative bone scintigraphy confirmed its efficacy to gain important data about natural history of the endosseous implants and the value of the surgical technique. In particular we observed complete osseous integration of dental implants inserted in the mix of bovine hydroxyapatite and autologous fibrin glue is achieved 2-3 years after the intervention. After this period, possible pathological aspects suggest an early treatment to save the implants.

Knowledge management to support performance-based medicine

OBJECTIVES

To discuss research issues for medical informatics in order to support the further development of health information systems, exploiting knowledge management and information and communication technology to increase the performance of Health Care Organizations (HCOs).

METHODS

Analyze the potential of exploiting knowledge management technology in medicine.

RESULTS AND CONCLUSIONS

The increasing pressure on HCOs to ensure efficiency and cost-effectiveness, balance the quality of care, and contain costs will drive them towards more effective management of medical knowledge derived from biomedical research. Knowledge management technology may provide effective methods and tools in speeding up the diffusion of innovative medical procedures. Reviews of the effectiveness of various methods of best practice dissemination show that the greatest impact is achieved when such knowledge is made accessible through the health information system at the moment it is required by care providers at their work sites. There is a need to take a more clinical process view of health care delivery and to identify the appropriate organizational and information infrastructures to support medical work. Thus, the great challenge for medical informatics is represented by the effective exploitation of the astonishing capabilities of new technologies to assure the conditions of knowledge management and organizational learning within HCOs.

Evidence-based careflow management systems: the case of post-stroke rehabilitation

The activities of a care providers' team need to be coordinated within a process properly designed on the basis of available best practice medical knowledge. It requires a rethinking of the management of care processes within health care organizations. The current workflow technology seems to offer the most convenient solution to build such cooperative systems. However, some of its present weaknesses still require an intense research effort to find solutions allowing its exploitation in real medical practice. This paper presents an approach to design and build evidence-based careflow management systems, which can be viewed as components of a knowledge management infrastructure each health care organization should be provided with to increase its performance in delivering high quality care by efficiently exploiting the available knowledge resources. The post-stroke rehabilitation process has been taken as a challenging care problem to assess our methodology for designing and developing careflow management systems. Then a system was co-developed with a team of rehabilitation professionals who will be committed to use it in their daily work. The system's main goal is to deliver a full array of rehabilitation services provided by an interdisciplinary team. They are related to identify which patients are most likely to benefit from rehabilitation, manage a rehabilitation treatment plan, and monitor progress both during rehabilitation and after return to a community residence. A model of the rehabilitation process was derived from an international guideline and adapted to the local organization of work. It involves different organizational units, such as wards, rehabilitation units, clinical laboratories, and imaging services. Several organizational agents work within them and play one or more roles. Each role is defined by the goals' set that she/he must fulfill. Special effort has been given to the design and development of a knowledge-based system for managing exceptions, which may occur in daily medical work as any deviation from the normal flow of activities. It allows either avoiding or recovering automatically from expected exceptions. When they are not expected, organizational agents, with enough power to do that, are allowed to modify the scheduled flow of activities for an individual patient under the only constraint of justifying their decision. After an intensive testing in a research laboratory, the system is now in the process of being transferred in a real working setting with the full support of its future users.

Simulation of a stroke unit careflow

This paper describes the development and use of a simulation model representing part of the medical practice within a Stroke Unit. In particular, we modelled the medical activities as described in a guideline for the ischemic stroke treatment, adopted by the Stroke Unit of our hospital. The Petri net formalism has been chosen for the model representation. The numerical parameters have been estimated both using a database of about 100 patients collected during the last two years, and eliciting knowledge from the neurologists. A commercial tool was used for performing simulations, while ad-hoc routines were written for tailoring the result presentation to the specific context. We consider simulation a very useful preliminary step for the subsequent implementation of a patient workflow (careflow) management system. In fact, simulation is based on the process model (the clinical practice guideline) and on the organisation model (human and technological resources), so allowing to detect bottlenecks in the care delivery organisation and to find the optimal resource allocation. For example, we show that simulation has been able to find some of the causes of the delay in the patients treatment, and accordingly, to suggest changes in the organisation.

The socio-organizational age of artificial intelligence in medicine

The increasing pressure on Health Care Organizations (HCOs) to ensure efficiency and cost-effectiveness, balancing quality of care and cost containment, will drive them towards a more effective management of medical knowledge derived from research findings. The relation between science and health services has until recently been too casual. The primary job of medical research has been to understand the mechanisms of disease and produce new treatments, not to worry about the effectiveness of the new treatments or their implementation. As a result many new treatments have taken years to become part of routine practice, ineffective treatments have been widely used, and medicine has been opinion rather than evidence based. This results in suboptimal care for patients. Knowledge management technology may provide effective approaches in speeding up the diffusion of innovative medical procedures whose clinical effectiveness have been proved: the most interesting one is represented by computer-based utilization of evidence-based clinical guidelines. As researchers in Artificial Intelligence in Medicine (AIM), we are committed to foster the strategic transition from opinion to evidence-based decision making. Reviews of the effectiveness of various methods of guideline dissemination show that the most predictable impact is achieved when the guideline is made accessible through computer-based and patient specific reminders that are integrated into the clinician's workflow. However, the traditional single doctor-patient relationship is being replaced by one in which the patient is managed by a team of health care professionals, each specializing in one aspect of care. Such shared care depends critically on the ability to share patient-specific information and medical knowledge easily among them. Strategically there is a need to take a more clinical process view of health care delivery and to identify the appropriate organizational and information infrastructures to support this process. Thus, the great challenge for AIM researchers is to exploit the astonishing capabilities of new technologies to disseminate their tools to benefit HCOs by assuring the conditions of knowledge management and organizational learning at the fullest extent possible. To achieve such a strategic goal, a guideline can be viewed as a model of the care process. It must be combined with an organization model of the specific HCO to build patient careflow management systems. Artificial intelligence can be extensively used to design innovative tools to support all the development stages of those systems. However, exploiting the knowledge represented in a guideline to build them requires to extend today's workflow technology by solving some challenging problems.

Genetic susceptibility to MS: a second stage analysis in Canadian MS families

Four published genome screens have identified a number of markers with increased sharing in multiple sclerosis (MS) families, although none has reached statistical significance. One hundred and five markers previously identified as showing increased sharing in Canadian, British, Finnish, and American genome screens were genotyped in 219 sibling pairs ascertained from the database of the Canadian Collaborative Project on Genetic Susceptibility to MS (CCPGSMS). No markers examined met criteria for significant linkage. Markers located at 5p14 and 17q22 were analyzed in a total of 333 sibling pairs and attained mlod scores of 2.27 and 1.14, respectively. The known HLA Class II DRB1 association with MS was confirmed (P<0.0001). Significant transmission disequilibrium was also observed for D17S789 at 17q22 (P=0.0015). This study highlights the difficulty of searching for genes with only mild-to-moderate effects on susceptibility, although large effects of specific loci may still be present in individual families. Future progress in the genetics of this complex trait may be helped by (1) focussing on more ethnically homogeneous samples, (2) using an increased number of MS families, and (3) using transmission disequilibrium analysis in candidate regions rather than the affected relative pair linkage analysis.

Flexible guideline-based patient careflow systems

Workflow Management Systems integrate domain and organisational knowledge to support business processes. When applied to the medical environment, they can be termed "Careflow Management Systems", and may be used to manage care delivery by enhancing co-operation among healthcare professionals. This paper focuses on care delivery based on clinical practice guidelines. Healthcare organisations are very different from industrial or commercial companies: their main goal is not profit, but maintaining and improving the health of the public. Therefore, outcomes are difficult to measure. Firstly, physicians, while playing a variety of roles, are quite independent decision-makers; secondly, the object of the process, i.e. the patient, may be involved in choosing treatment options, and may be treated by different institutions. For these reasons, the standard functionality of typical Workflow Management Systems must be strongly enhanced in order to cope with healthcare delivery needs. A major issue is accounting for exceptions. In most non-clinical settings this is not a problem because processes are very well defined and can often be easily controlled by some higher authority. As explained above, this does not happen in healthcare organisations. Responsibilities are widely shared, and health care professionals may be non-compliant with guidelines for a variety of reasons. The paper presents a classification of possible exceptions, and shows how the sequence of tasks described by a guideline may be altered, at the implementation level, in order to meet actual user needs, while maintaining guideline intentions as much as possible. A terminology server is also exploited towards this end. This work illustrates a prototype of a Careflow Management System based on an international guideline for ischemic stroke treatment, developed by the American Heart Association.

Web-based telemedicine systems for home-care: technical issues and experiences

The use of the Web for telemedicine applications seems nowadays a compulsory solution: the Web has become a standardized infrastructure for giving access to sophisticated telemedicine applications from virtually any machine and operating system. Such standardized communication platform guarantees accessibility and usability advantages to both customers and providers (patients and physicians). However, there are several issues that should be discussed in depth, with particular reference to all the applications related to the provision of care at distance, nowadays called telecare applications. In telecare applications the role of the patient becomes central, since he/she is actively involved in the process of managing care and treatments, and since he/she (or his/her families) is responsible for collecting some measurements and related information. In this paper we will discuss the general architectural and technical issues related to the development of Web-based systems for telecare applications, relying on the experience we gained within the telecare project T-IDDM (Telematic Management of Insulin Dependent Diabetes Mellitus), devoted to assist the management and home-monitoring of Type 1 Diabetes Mellitus patients.

Long-term cardiac sequelae in operable breast cancer patients given adjuvant chemotherapy with or without doxorubicin and breast irradiation

PURPOSE

To investigate long-term cardiac sequelae associated with anthracycline use in adjuvant chemotherapy of patients with early breast cancer.

PATIENTS AND METHODS

All 1,000 patients from three prospective trials of adjuvant chemotherapy containing doxorubicin (n = 637, median total dose of 294 mg/m(2)) or not containing the anthracycline (cyclophosphamide, methotrexate, and fluorouracil [CMF] regimen alone, n = 363) were analyzed for the relative incidence of congestive heart failure (CHF) and myocardial infarction (MI) during 14 years of follow-up. The 462 women continuously free of disease as of February 1996 were recalled, and 355 consented to undergo evaluation including 12-lead ECG and cardiac ultrasound with determination of left ventricular ejection fraction (LVEF) to assess the relative incidence of abnormalities in long-term survivors.

RESULTS

Among the 1,000 patients, there were six cases of CHF and three cases of MI. Cumulative cardiac mortality accounted for 0.4% (doxorubicin-treated = 0.6%; CMF-treated = 0). Eighteen (5%) of the 355 patients undergoing cardiac evaluation after median 11 years of follow-up presented systolic dysfunction as defined by pathologic (< 50%, n = 8) or borderline (50% to 55%, n = 10) LVEF. Systolic dysfunction was higher in doxorubicin-treated (15 of 192; 8%) than in CMF-treated patients (three of 150; 2%). Breast irradiation had a significant impact on the occurrence of early CHF (four of 116; 3%), but not on systolic dysfunctions.

CONCLUSION

At longer than 10 years of follow-up, the use of doxorubicin at a total dose commonly applied in regimens of adjuvant chemotherapy does not lead to cardiac clinical sequelae that counter-balance the benefit of treatment in patients with operable breast cancer who may be cured of their disease.

[Radionuclide imaging in oral implantations. Personal experience in maxillary sinus elevation]

PURPOSE

Presently nuclear medicine techniques are not very popular in oral implantology, but they can play an interesting role in this surgical field too. In particular bone scan with 99mTc-MDP allows to evaluate the function of oral implants and the survival of bone grafts. We report our experience with skull bone scan in maxillary sinus lifting.

MATERIAL AND METHODS

We performed a three-year follow-up on 13 patients treated with inlay-one stage uni- or bilateral sinus lifting with a mixture composed of 90% bovine bone powder and of 10% small bone splinters and autogenous fibrin glue. We performed imaging studies and quantitated implant MDP uptake from the mean values at the surgical site to the 5th neck vertebral ratio (M/V index). The M/V index was also statistically compared with the one measured in 13 patients with severe resorption of distal upper dental arches (bone height less than 0.5 cm) and in 63 patients with normal dental status. Scintigraphic data were interpreted in the light of clinical, radiological and histologic findings.

RESULTS

All oral implants appeared to be fixed and radiographs showed good positioning and bone adhesion; bone height exceeded 1 cm. Peri implant biopsy material was formed by normal mature bone tissue without bovine bone granules, necrotic areas and inflammatory cells. The highest bone activity (M/V index: 1.54-2.57) was observed 1-4 months after sinus lifting. Then MDP uptake decreases and 18 months after surgery radionuclide uptake in maxillary arches is homogeneous, with M/V values of 0.81-0.88. The average M/V value in the 18 surgical sites was clearly higher than in the resorbed (1.44 vs 0.64; Kruskall-Wallis ANOVA test; Dunn's method; p < 0.05) and normal (1.44 vs 0.73; p < 0.05) maxillary arches.

DISCUSSION AND CONCLUSIONS

99mTc-MDP can show the transformation of newformed into mature bone and then allows in vivo visualization of implant osteointegration. The importance of our work lies in the use of radionuclide imaging to assess both the function of oral implants inserted by a complex surgical technique and the expected bioactive properties of the filling mixture. Nevertheless the strong active autogenous compounds do not permit to detect the real agent of local bone induction. An interesting finding is that implant stability is biologically gained 18 months after intervention and that the uptake index facilitates comparison of sequential scans and confirmation of local bone growth. Therefore high MDP uptake by the implant 2-3 years after surgery can suggest mechanical or septic bone injury which can lead to implant failure if not treated promptly. In conclusion we believe that quantitative bone scan is a valid diagnostic tool in the follow-up of oral implants inserted with sinus lifting, though our experience needs confirmation on larger series and new research is warranted to understand the real mechanisms of assisted bone regeneration.

A multi-modal reasoning methodology for managing IDDM patients

We present a knowledge management and decision support methodology for insulin dependent diabetes mellitus (IDDM) patients care. Such methodology exploits the integration of case based reasoning (CBR) and rule based reasoning (RBR), with the aim of helping physicians during therapy planning, by overcoming the intrinsic limitations shown by the independent application of the two reasoning paradigms. RBR provides suggestions on the basis of a situation detection mechanism that relies on formalized prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. When the case library is not representative of the overall population, only RBR is applied to define a therapy for the input situation, which can then be retained, enriching the case library competence. The paper reports the first evaluation results, obtained both on simulated examples and on real patients. This work was developed within the EU funded telematic management of insulin dependent diabetes mellitus (T-IDDM) project, and is fully integrated in its web-based architecture.

Guideline-based careflow systems

This paper describes a methodology for achieving an efficient implementation of clinical practice guidelines. Three main steps are illustrated: knowledge representation, model simulation and implementation within a health care organisation. The resulting system can be classified as a 'guideline-based careflow management system'. It is based on computational formalisms representing both medical and health care organisational knowledge. This aggregation allows the implementation of a guideline, not only as a simple reminder, but also as an 'organiser' that facilitates health care processes. As a matter of fact, the system not only suggests the tasks to be performed, but also the resource allocation. The methodology initially comprehends a graphical editor, that allows an unambiguous representation of the guideline. Then the guideline is translated into a high-level Petri net. The resources, both human and technological necessary for performing guideline-based activities, are also represented by means of an organisational model. This allows the running of the Petri net for simulating the implementation of the guideline in the clinical setting. The purpose of the simulation is to validate the careflow model and to suggest the optimal resource allocation before the careflow system is installed. The final step is the careflow implementation. In this phase, we show that the 'workflow management' technology, widely used in business process automation, may be transferred to the health care setting. This requires augmenting the typical workflow management systems with the flexibility and the uncertainty management, typical of the health care processes. For illustrating the proposed methodology, we consider a guideline for the management of patients with acute ischemic stroke.

Intelligent analysis of clinical time series: an application in the diabetes mellitus domain

This paper describes the application of a method for the intelligent analysis of clinical time series in the diabetes mellitus domain. Such a method is based on temporal abstractions and relies on the following steps: (i) 'pre-processing' of raw data through the application of suitable filtering techniques: (ii) 'extraction' from the pre-processed data of a set of abstract episodes (temporal abstractions); and (iii) 'post-processing' of temporal abstractions; the post-processing phase results in a new set of features that embeds high level information on the patient dynamics. The derived features set is used to obtain new knowledge through the application of machine learning algorithms. The paper describes in detail the application of this methodology and presents some results obtained on simulated data and on a data-set of four diabetic patients monitored for > 1 year.