• Keywords
• Editorials, classification, guideline, managed care programs, stroke, thrombectomy,
• MeSH
• Stroke classification   MeSH
• Hospital Units MeSH
• Humans MeSH
• International Classification of Diseases MeSH
• Check Tag
• Humans MeSH
• Publication type
• Editorial MeSH

• Keywords
• ANTIGENS *, CLASSIFICATION *, EXPERIMENTAL LAB STUDY *, LEPTOSPIRA *,
• MeSH
• Antigens * MeSH
• Classification * MeSH
• Leptospira * MeSH
• Research * MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Antigens * MeSH

• Keywords
• CLASSIFICATION *, LEPTOSPIRA *, USSR *,
• MeSH
• Classification * MeSH
• Leptospira * MeSH
• Humans MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• USSR MeSH

In January 2022, the classification of female sexual dysfunctions under the new eleventh revision of International Classification of Diseases came into force. Its definitive integration into practice is expected after a 5-year transition period. The new nomenclature is based on a circular model of female sexual activity, eliminating the Cartesian-dualistic concept of separating individual pathophysiological entities with „non-organic“ and „organic“ etiology. Sexual dysfunctions are evaluated as a complex interaction of psychological, interpersonal, social, cultural, physiological, and by gender-related processes. The new 11th revision of International Classification of Diseases established clear criteria for symptomatology and duration of disorders according to duration, frequency, and exposure to distress. Female sexual dysfunctions may be diagnosed regardless of etiology. The system of qualifiers allows the identification of etiological factors related to health condition; psychological and mental disorders; use of psychoactive substances or medication; lack of knowledge or experience; relational, cultural or gender-related factors. This article summarizes the current situation in the classification of female sexual dysfunctions in a historical context and presents the modus operandi for clinical practice according to current classifications.

• Keywords
• dyspareunia, hypoactive sexual desire disorder, orgasmic disorder, sexual arousal disorder, vaginismus,
• MeSH
• Humans MeSH
• International Classification of Diseases MeSH
• Sexual Behavior psychology   MeSH
• Sexual Dysfunction, Physiological * diagnosis   etiology   MeSH
• Sexual Dysfunctions, Psychological * diagnosis   etiology   MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

• Keywords
• CLASSIFICATION *, MALOCCLUSION *, MASTICATION *, TOOTH DISEASES *,
• MeSH
• Dentition * MeSH
• Classification * MeSH
• Humans MeSH
• Malocclusion * MeSH
• Tooth Diseases * MeSH
• Tooth * MeSH
• Mastication * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

• MeSH
• Anthropology, Physical MeSH
• Child MeSH
• Classification * MeSH
• Humans MeSH
• Mathematics * MeSH
• Probability MeSH
• Statistics as Topic * MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Publication type
• Journal Article MeSH

PURPOSE OF THE STUDY The purpose of this study was to conduct an epidemiological study of hand fractures in adult population. MATERIAL AND METHODS A retrospective observational study in a population of 470,000 habitants was performed. Over the course of three years, all patients over 16 years of age who were diagnosed with fracture or fracture-dislocation at the level of a carpal bone, metacarpal and/or phalange were included. These fractures were classified according to the International Classification of Diseases 10th edition (ICD-10). Incidence rates, along with gender and age distribution were also studied. RESULTS 1,267 patients with a total of 1,341 hand fractures were included. They represented 29.7% of all upper limb fractures and 7.6% of all traumatological emergencies involving a bone fracture during that period. The most frequent ICD-10 group was S62.3, with the fifth metacarpal as the most often affected bone (39.7%). The most frequent location at the level of the phalanges (S62.5) was the proximal third of the proximal phalanx of the fifth radius. The global incidence rate was 99 fractures per 100,000 persons/year. No seasonal variation was observed. Only 10.2% of hand fractures received surgical treatment. DISCUSSION Several epidemiological studies have been published on fractures in the hand, but none have used the ICD-10 classification. Although the distribution of our stratified sample by age and gender was similar to those previously published, the incidence rate in our study was much lower. We may possibly extrapolate our results to the rest of the Spanish population and even to the rest of the population of southern Europe, given the scarcity of epidemiological studies on this matter in these geographical areas. CONCLUSIONS The ICD-10 classification is useful for the description and classification of hand fractures. The most often affected group is that including metacarpals of the long fingers (S62.3), being the distal level of the fifth metacarpal in young male patients the most frequent one. Most fractures are treated conservatively and in case of surgical treatment, the preferred surgical techniques include K-wire fixation, interfragmentary compression screws and plate osteosynthesis. Key words: epidemiology, incidence, fracture, fracture dislocation, carpal bones, metacarpals, finger phalanges.

• MeSH
• Adult MeSH
• Fractures, Bone * epidemiology   surgery   MeSH
• Upper Extremity MeSH
• Humans MeSH
• Metacarpal Bones * injuries   MeSH
• International Classification of Diseases MeSH
• Hand Injuries * epidemiology   surgery   MeSH
• Fracture Fixation, Internal methods   MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Male MeSH
• Publication type
• Journal Article MeSH
• Observational Study MeSH

• MeSH
• Biopsy MeSH
• Glomerular Filtration Rate MeSH
• Adrenal Cortex Hormones therapeutic use   MeSH
• Glomerulonephritis, IGA * drug therapy   MeSH
• Cohort Studies MeSH
• Kidney MeSH
• Humans MeSH
• Retrospective Studies MeSH
• Check Tag
• Humans MeSH
• Publication type
• Letter MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Adrenal Cortex Hormones MeSH

BACKGROUND: Key anatomical factors mean that individuals needing arteriovenous access are unique and have different possibilities for fistula creation. The aim of this article is to describe a new classification system for all patients needing haemodialysis vascular access in the upper extremity with the purpose to simplify sharing the information about suitability for surgical access creation depending on vascular anatomy. METHODS: According to the patient's vascular anatomy in right and left superior extremities, patients were separated into three arteriovenous access stages (AVAS). The AVAS was validated by three blinded observers using a sample of 70 upper limb arteriovenous maps that were performed using ultrasound on patients referred for vascular access assessment. A sample size calculation was performed and calculated that for three observers, a minimum of 67 maps were required to confirm significant agreement at a Kappa value of 0.9 (95% confidence interval 0.75-0.99). RESULTS: The Kappa value for inter-rater reliability using Fleiss' Kappa coefficient was 0.94 and all patients fitted into the AVAS classification system. CONCLUSION: The AVAS classification system is a simplified way to share information about vascular access options based on a patient's vascular anatomy with high inter-rater reliability.

• Keywords
• arteriovenous fistula, arteriovenous graft, classification, haemodialysis, vascular access,
• Publication type
• Journal Article MeSH

BACKGROUND: Narrative medical reports do not use standardized terminology and often bring insufficient information for statistical processing and medical decision making. Objectives of the paper are to propose a method for measuring diversity in medical reports written in any language, to compare diversities in narrative and structured medical reports and to map attributes and terms to selected classification systems. METHODS: A new method based on a general concept of f-diversity is proposed for measuring diversity of medical reports in any language. The method is based on categorized attributes recorded in narrative or structured medical reports and on international classification systems. Values of categories are expressed by terms. Using SNOMED CT and ICD 10 we are mapping attributes and terms to predefined codes. We use f-diversities of Gini-Simpson and Number of Categories types to compare diversities of narrative and structured medical reports. The comparison is based on attributes selected from the Minimal Data Model for Cardiology (MDMC). RESULTS: We compared diversities of 110 Czech narrative medical reports and 1119 Czech structured medical reports. Selected categorized attributes of MDMC had mostly different numbers of categories and used different terms in narrative and structured reports. We found more than 60% of MDMC attributes in SNOMED CT. We showed that attributes in narrative medical reports had greater diversity than the same attributes in structured medical reports. Further, we replaced each value of category (term) used for attributes in narrative medical reports by the closest term and the category used in MDMC for structured medical reports. We found that relative Gini-Simpson diversities in structured medical reports were significantly smaller than those in narrative medical reports except the "Allergy" attribute. CONCLUSIONS: Terminology in narrative medical reports is not standardized. Therefore it is nearly impossible to map values of attributes (terms) to codes of known classification systems. A high diversity in narrative medical reports terminology leads to more difficult computer processing than in structured medical reports and some information may be lost during this process. Setting a standardized terminology would help healthcare providers to have complete and easily accessible information about patients that would result in better healthcare.

• MeSH
• Medical Records * MeSH
• Clinical Coding methods   MeSH
• Humans MeSH
• Decision Support Techniques * MeSH
• International Classification of Diseases * MeSH
• Systematized Nomenclature of Medicine * MeSH
• Terminology as Topic * MeSH
• Narration * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic MeSH