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Autopathography and depression: describing the 'despair beyond despair'.

The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, emphasizes diagnosis and statistically significant commonalities in mental disorders. As stated in the Introduction, "[i]t must be admitted that no definition adequately specifies precise boundaries for the concept of 'mental disorder' " (DSM-IV, 1994, xxi). Further, "[t]he clinician using DSM-IV should ... consider that individuals sharing a diagnosis are likely to be heterogeneous, even in regard to the defining features of the diagnosis, and that boundary cases will be difficult to diagnose in any but a probabilistic fashion" (DSM-IV, 1994, xxii). This article proposes that it may be helpful for clinicians to study narratives of illness which emphasize this heterogeneity over statistically significant symptoms. This paper examines the recorded experiences of unusually articulate sufferers of the disorder classified as Major Depression. Although sharing a diagnosis, Hemingway, Fitzgerald, and Styron demonstrated different understandings of their illness and its symptoms and experienced different resolutions, which may have had something to do with the differing meanings they made of it. I have proposed a word, autopathography, to describe a type of literature in which the author's illness is the primary lens through which the narrative is filtered. This word is an augmentation of an existing word, pathography, which The Oxford English Dictionary, Second Edition, defines as "a) [t]he, or a, description of a disease," and "b) [t]he, or a, study of the life and character of an individual or community as influenced by a disease." The second definition is the one that I find relevant and which I feel may be helpful to clinicians in broadening their understanding of the patient's experience.

Alcoholism↗

Sleepiness, troika of consciousness cycle, and the Epworth sleepiness scale.

Excessive daytime sleepiness (EDS) is an important indicator when diagnosing sleep-disordered breathing and evaluating its treatment results. However, there appears to be some confusion as to what exactly is sleepiness; Dorland's Illustrated Medical Dictionary does not help. The medical literature was reviewed in order to assemble a schematic model that would suggest a definition of sleepiness and how it can be measured. The derived model is entitled the troika of consciousness cycle (TCC). It assumes that the presence of wakefulness, nonrapid eye movement sleep (NREMS), and rapid eye movement sleep (REMS) is determined by the interactions of four drives: two promoting wakefulness and one each for the two sleep states. The TCC illustrates that inadequate sleep results in sleep debt, but that sleepiness is determined solely by the nearness of the secondary wake drive line to the NREMS drive line. Contact of these lines indicates dozing, a change in consciousness state, an observable event. The probability of this event may be defined as objective sleepiness; this is what the Epworth sleepiness scale (ESS) attempts to measure. Studies indicate that the ESS can determine EDS with greater sensitivity and selectivity than either the multiple sleep latency test or the maintenance of wakefulness test.

Activity Cycles↗

Information capacity of nucleotide sequences and its applications.

The information capacity of nucleotide sequences is defined through the specific entropy of frequency dictionary of a sequence determined with respect to another one containing the most probable continuations of shorter strings. This measure distinguishes a sequence both from a random one, and from ordered entity. A comparison of sequences based on their information capacity is studied. An order within the genetic entities is found at the length scale ranged from 3 to 8. Some other applications of the developed methodology to genetics, bioinformatics, and molecular biology are discussed.

Computational Biology↗

MEDIC: a language to process clinical data for elementary statistical purposes.

A new language has been developed which is helpful for handling data, already collected and stored on disk, with the aim of producing reports of clinical interest. For each clinical data bank a dictionary is generated, which contains all information needed to fully identify each medical item (e.g., name, type, attributes, indexed/single value). Now the user can write programs in a very easy way using the statements of the MEDIC language which give him the possibility of powerfully filtering data, making calculations and producing reports. Data integrity is achieved by the fact that users can only accede to data from the data bank and cannot alter data or modify them on disk. A special emphasis has been given, when designing MEDIC, to the possibility of counting data which satisfy certain sets of conditions, and to special output functions, as histograms. Programs written in MEDIC language are processed by MEDIC generator, are immediately executable, and have the possibility of tracing/debugging (the tracing option is chosen when program is starting execution). At execution time the user chooses in a very easy way the rules of scanning data bank, for example, the whole data bank and single ranges of records.

Computers↗

Use of conditional rule structure to automate clinical decision support: a comparison of artificial intelligence and deterministic programming techniques.

A rule-based computer system was developed to perform clinical decision-making support within a medical information system, oncology practice, and clinical research. This rule-based system, which has been programmed using deterministic rules, possesses features of generalizability, modularity of structure, convenience in rule acquisition, explanability, and utility for patient care and teaching, features which have been identified as advantages of artificial intelligence (AI) rule-based systems. Formal rules are primarily represented as conditional statements; common conditions and actions are stored in system dictionaries so that they can be recalled at any time to form new decision rules. Important similarities and differences exist in the structure of this system and clinical computer systems utilizing artificial intelligence (AI) production rule techniques. The non-AI rule-based system possesses advantages in cost and ease of implementation. The degree to which significant medical decision problems can be solved by this technique remains uncertain as does whether the more complex AI methodologies will be required.

Computers↗

An interlingua for electronic interchange of medical information: using frames to map between clinical vocabularies.

The proliferation of medical knowledge has led to the development of extensive dictionaries for electronically accessing information resources. The task of standardizing terminology used for electronic hospital records and for knowledge bases for medical expert systems and indexing the medical literature cannot easily be met by developing a single, monolithic "official" medical vocabulary. Developing a monolithic vocabulary would require a massive effort, and its existence would not guarantee its use by third-party payors, by practicing clinicians, or by developers of electronic medical information systems. Recognizing this, the National Library of Medicine (NLM) has begun to develop the Unified Medical Language System (UMLS) as a means of promoting electronic information exchange among systems with controlled vocabularies. The authors describe a frame-based system developed as an experimental approach to mapping between controlled clinical vocabularies.

Cluster Analysis↗

Priming intelligent split menus with text corpora for computerized patient record data-entry.

This paper describes a methodology for using the knowledge in existing health care text corpora to prime intelligent split menus for provider data-entry. A split menu is one where the top portion of a menu list is organized by user-selection frequency and the bottom portion of the list is traditionally organized in alphabetical order. A simulation shows that data-entry with these intelligent split menus requires between two and five times less effort (in terms of user selections or mouse clicks) than menus arranged alphabetically. This paper uses a corpus from echocardiography to develop the simulation. The methodology uses statistical associations between word categories in the corpus such as 'anatomy' or 'pathology' to prime the frequency ordering of the menus. A dictionary of terms contains the categorical information. After the initial priming, actual user selections are used to update the frequencies used to adapt to providers' individual data-entry patterns.

Computer Simulation↗

Comparative characterization of the fermentation pathway of Saccharomyces cerevisiae using biochemical systems theory and metabolic control analysis: model definition and nomenclature.

Mathematical tools that involve the determination of systemic responses to small changes in metabolites or enzymes have demonstrated their utility for analyzing metabolic pathways. The different methodologies based on these ideas allow for modeling and analyzing biochemical pathways focusing on the coordinate behavior of the whole system. However, one must become familiar with the difference in nomenclature and methodology to relate the models and results obtained by applying these techniques and to appreciate their potential for answering fundamental questions about biochemical systems. In the following three papers we show how this can be facilitated by comparing the nomenclature, methodology, and results of the two leading techniques in this area, metabolic control analysis and biochemical systems theory, using a model of the fermentation pathway in Saccharomyces cerevisiae as a reference system. In the present paper we review the nomenclature, technical concepts, and related experimental measurements while creating a practical dictionary for the reference system that makes the relatedness of the two approaches more apparent. In the second paper, subtitled Steady-State Analysis, we show that both approaches give the same picture for many systemic responses of the reference system. In the third paper of this series, subtitled Model Validation and Dynamic Behavior, we show that the quality of the model can be assessed by studying the sensitivity to changes in the system parameters. We hope to illustrate the usefulness of these tools in providing an interpretation of the experimental measurements in a specific metabolic pathway.

Fermentation↗

Isotope archaeology: reading the past in metals, minerals, and bone.

The latest edition of the Oxford Dictionary (1989) defines archaeology as '... the scientific study of the remains and monuments of the prehistoric period'. It is not surprising, therefore, that modern archaeology draws as much as possible on scientific methods of investigation developed in other fields. In the last ten years the powerful method of quantitative isotope analysis has brought a new dimension to the examination of archaeological finds.

Animals↗

Working conditions and the relationship between schooling and health.

This paper's main objective is to investigate an occupational linkage in the empirically observed positive relationship between schooling and health. Combining results from the health economics literature and labor economic studies of occupational choice, a theoretical model is developed which allows schooling to affect health directly and indirectly, through choice of work environment and other market inputs in health production. The model is estimated using data from the 1980 Health Interview Survey, combined with occupational information from the Dictionary of Occupational Titles. The empirical results indicate the existence of a small occupation effect in the schooling-health relationship, but this effect is conservatively estimated and biased downward given the presence of unobserved differences in individuals' initial health status. The general findings highlight the importance of investigating the health effects of occupational hazards using longitudinal data and comprehensive measures of hazards which include stress at work.

Educational Status↗

Structure and software tools of AIDA.

AIDA consists of a set of software tools to allow for fast development and easy-to-maintain Medical Information Systems. AIDA supports all aspects of such a system both during development and operation. It contains tools to build and maintain forms for interactive data entry and on-line input validation, a database management system including a data dictionary and a set of run-time routines for database access, and routines for querying the database and output formatting. Unlike an application generator, the user of AIDA may select parts of the tools to fulfill his needs and program other subsystems not developed with AIDA. The AIDA software uses as host language the ANSI-standard programming language MUMPS, an interpreted language embedded in an integrated database and programming environment. This greatly facilitates the portability of AIDA applications. The database facilities supported by AIDA are based on a relational data model. This data model is built on top of the MUMPS database, the so-called global structure. This relational model overcomes the restrictions of the global structure regarding string length. The global structure is especially powerful for sorting purposes. Using MUMPS as a host language allows the user an easy interface between user-defined data validation checks or other user-defined code and the AIDA tools. AIDA has been designed primarily for prototyping and for the construction of Medical Information Systems in a research environment which requires a flexible approach. The prototyping facility of AIDA operates terminal independent and is even to a great extent multi-lingual. Most of these features are table-driven; this allows on-line changes in the use of terminal type and language, but also causes overhead. AIDA has a set of optimizing tools by which it is possible to build a faster, but (of course) less flexible code from these table definitions. By separating the AIDA software in a source and a run-time version, one is able to write implementation-specific code which can be selected and loaded by a special source loader, being part of the AIDA software. This feature is also accessible for maintaining software on different sites and on different installations.

Database Management Systems↗

A prototype of a computerized patient record.

Computerized medical record systems (CPRS) should present user and problem oriented views of the patient file. Problem lists, clinical course, medication profiles and results of examinations have to be recorded in a computerized patient record. Patient review screens should give a synopsis of the patient data to inform whenever the patient record is opened. Several different types of data have to be stored in a patient record. Qualitative and quantitative measurements, narratives and images are such examples. Therefore, a CPR must also be able to handle these different data types. New methods and concepts appear frequently in medicine. Thus a CPRS must be flexible enough to cope with coming demands. We developed a prototype of a computer based patient record with a graphical user interface on a SUN workstation. The basis of the system are a dynamic data dictionary, an interpreter language and a large set of basic functions. This approach gives optimal flexibility to the system. A lot of different data types are already supported. Extensions are easily possible. There is also almost no limit concerning the number of medical concepts that can be handled by our prototype. Several applications were built on this platform. Some of them are presented to exemplify the patient and problem oriented handling of the CPR.

Humans↗

Smoke without fire: a reply to Hardy, Segatore and Edge.

Literacy is defined in the Oxford English Dictionary as the ability to read and write, and illiteracy as an inability to read. Hardy, Segatore and Edge (1993) suggest a serious problem of illiteracy among student nurses that endangers patient safety. Their evidence is entirely anecdotal, some of which is misclassified as literacy errors. They provide no substantive or statistical evidence to support their claims. Educators making serious and provocative charges on such flimsy grounds ought either to recant or obtain evidence that is more convincing.

Education, Nursing↗

A search for specificity in DNA-drug interactions.

The GRID force field and a principal component analysis have been used in order to predict the interactions of small chemical groups with all 64 different triplet sequences of B-DNA. Factors that favor binding to guanine-cytosine base pairs have been identified, and a dictionary of ligand groups and their locations is presented as a guide to the design of specific DNA ligands.

Codon↗

Drawing deficits in brain-damaged patients' freehand pictures.

This study examines errors in brain-damaged patients' attempts to produce freehand drawings of common objects in response to a linguistic target (e.g., "fruit"). The pictures were carefully analyzed according to the features which dictionaries claim should vary necessarily from item to item, including color, shape, relative size, and special features which help distinguish between similar items. A "recognizability score" was created to quantify patients' overall drawing capacity. The findings revealed that subjects with right hemispheric insult are significantly more impaired overall than left hemisphere-damaged patients in producing freehand pictures. However, freehand drawing skills do not break down in an undifferentiated fashion after right hemispheric insult: Group and individual data reveal that patients with right central (primarily parietal) insult are most impaired at expressing shape attributes in their pictures, right posterior patients with primarily temporoparietal insult experience the greatest difficulty attributing color to their pictures, but patients with right anterior insult are impaired at expressing color, shape, and relative size in their pictures. All patients with right hemisphere insult often attribute specific features indiscriminantly to any member of the same category, resulting in anomalous pictures like a "potato bush." One patient with left posterior insult seemed to encounter difficulty generating the mental images necessary to serve as the basis for his pictures. These findings are discussed with reference to an image-based model for freehand drawing.

Adult↗

Learning and alignment methods applied to protein structure prediction.

Learning techniques are able to extract structural knowledge specific to a selected set of proteins. We describe two algorithms that optimize scores expressing the propensity of a polypeptide sequence to adopt a local fold. The first algorithm generates secondary structure prediction rules based on a dictionary of geometrical patterns frequently found in the learning database. The second algorithm leads to scores that indicate the fit between an amino acid and a given local structural environment. Dynamic programming is then used to align structural information profiles by modifying the local mutation cost with the above learned functions. The main features of the system are exemplified on the structural prediction of the N-terminal domain of the CD4 antigen. Then the usefulness of additional 3-D information in the alignment is benchmarked on eight pairs of weakly homologous proteins.

Algorithms↗

Arabic pain words.

The initial stages in the development of an Arabic pain inventory are described. 279 Kuwaiti adults were asked to nominate as many words as they could think of to describe pain. A dictionary translation of the McGill Pain Questionnaire (MPQ) was prepared, and subjects judged which of these represent acceptable pain descriptions in Arabic. From these sources, a list of Arabic pain adjectives was compiled. 67 university undergraduates classified each word as sensory, evaluative or affective, and rated the pain intensity connoted. Over 100 Arabic pain words were identified. Ratings revealed that, just as in English, pain is a multidimensional concept. The pain intensity rank ordering of many groupings in the MPQ was preserved when the Arabic translations were rated, even though the Arabic adjectives were not presented in the format of the MPQ. Theoretical and practical problems encountered in producing a fully equivalent pain inventory in another language are discussed.

Adolescent↗

The Italian Pain Questionnaire.

In order to overcome the cross-cultural semantic barriers related to the literal translation of the McGill Pain Questionnaire (MPQ) in non-English speaking areas, an Italian Pain Questionnaire (IPQ) has been developed, based on the 3 factorial structures proposed by Melzack and Torgerson: sensory, affective and evaluative. A group of 30 normal subjects (15 doctors and 15 university students) was used to define 5 anchor words of the intensity verbal scale by means of a visual analogue scale, and a 5-point Present Pain Intensity (PPI) verbal scale was derived. For the semantic key, a first group of 80 subjects (30 university students and patients, respectively, and 20 doctors) was asked to sort out appropriate pain descriptors from 203 pain-related words with the help of clinical literature and Italian dictionaries. Subsequently, a second group of 80 subjects (of identical structural composition) was asked to allocate the 56 words previously chosen on the basis of word frequencies (at least 45%) to the most appropriate category in the Italianized MPQ. Testees were then asked to assign an intensity value to each word, using a VAS scale. The final pain vocabulary was formed from those words, which reflected a statistically significant intensity change (P less than 0.05) within each group. The IPQ comprises 42 pain descriptors, distributed into 3 major classes (sensory, affective and evaluative) and 16 subclasses. It represents the most parsimonious, meaningful and idiomatic set of Italian pain descriptors, providing quantitative information that can be treated statistically, yet preserving a close structural parallel with the MPQ.

Adolescent↗