scholarly journals Application of MRI for the Diagnosis of Neoplasms

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Ewa Bejer-Oleńska ◽  
Michael Thoene ◽  
Andrzej Włodarczyk ◽  
Joanna Wojtkiewicz
Keyword(s):  
Benign Neoplasms ◽  
Young Males ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Mri Scans ◽  
International Statistical Classification ◽  
The Central Nervous System ◽  
Spss Software ◽  
The Brain

Aim. The aim of the study was to determine the most commonly diagnosed neoplasms in the MRI scanned patient population and indicate correlations based on the descriptive variables. Methods. The SPSS software was used to determine the incidence of neoplasms within the specific diagnoses based on the descriptive variables of the studied population. Over a five year period, 791 patients and 839 MRI scans were identified in neoplasm category (C00-D48 according to the International Statistical Classification of Diseases and Related Health Problems ICD-10). Results. More women (56%) than men (44%) represented C00-D48. Three categories of neoplasms were recorded. Furthermore, benign neoplasms were the most numerous, diagnosed mainly in patients in the fifth decade of life, and included benign neoplasms of the brain and other parts of the central nervous system. Conclusions. Males ≤ 30 years of age with neoplasms had three times higher MRI scans rate than females of the same age group; even though females had much higher scans rate in every other category. The young males are more often selected for these scans if a neoplasm is suspected. Finally, the number of MRI-diagnosed neoplasms showed a linear annual increase.

scholarly journals Zmiany kryteriów w diagnozowaniu zaburzeń związanych z hazardem oraz uzależnień chemicznych i czynnościowych

2017 ◽  
Vol 12 ◽  
pp. 91
Author(s):  
Iwona Niewiadomska ◽  
Agnieszka Palacz-Chrisidis
Keyword(s):  
Mental Disorders ◽  
Health Problems ◽  
Statistical Classification ◽  
Addictive Disorders ◽  
Statistical Manual ◽  
Dsm V ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

Autorki poruszają kwestię zmian w kryteriach diagnostycznych dotyczących zaburzeń związanych z hazardem oraz uzależnień chemicznych i czynnościowych w literaturze przedmiotu. Prezentują też krótki przegląd kolejnych edycji podręczników międzynarodowych klasyfikacji, zarówno Diagnostics and Statistical Manual of Mental Disorders – DSM, jak i The International Statistical Classification of Diseases and Related Health Problems – ICD. W artykule przedstawiona jest również dyskusja badaczy na temat umiejscowienia zaburzeń związanych z hazardem w klasyfikacjach diagnostycznych. DSM-V umiejscawia zaburzenie hazardowe w kategorii „zaburzenia używania substancji i nałogów” (ang. Substance-Related and Addictive Disorders, DSM-V), w podkategorii „zaburzenia niezwiązane z substancjami” (ang. Non-Substace Related Disorders, DSM-V). Natomiast według nadal obowiązującego ICD-10, zaburzenie hazardowe pozostaje w obszarze zaburzeń kontroli i impulsów, pod nazwą „hazard patologiczny”.

Fall-related mortality in southern Sweden: a multiple cause of death analysis, 1998–2014

2017 ◽  
Vol 25 (2) ◽  
pp. 129-135 ◽  
Author(s):  
Aliasghar A Kiadaliri ◽  
Björn E Rosengren ◽  
Martin Englund
Keyword(s):  
Cause Of Death ◽  
Temporal Trends ◽  
Circulatory System ◽  
Southern Sweden ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification ◽  
The Mean ◽  
Related Mortality

ObjectivesTo investigate temporal trend in fall mortality among adults (aged ≥20 years) in southern Sweden using multiple cause of death data.MethodsWe examined all death certificates (DCs, n=2 01 488) in adults recorded in the Skåne region during 1998–2014. We identified all fall deaths using International Statistical Classification of Diseases (ICD)-10 codes (W00-W19) and calculated the mortality rates by age and sex. Temporal trends were evaluated using joinpoint regression and associated causes were identified by age-adjusted and sex-adjusted observed/expected ratios.ResultsFalls were mentioned on 1.0% and selected as underlying cause in 0.7% of all DCs, with the highest frequency among those aged ≥70 years. The majority (75.6%) of fall deaths were coded as unspecified fall (ICD-10 code: W19) followed by falling on or from stairs/steps (7.7%, ICD-10 code: W10) and other falls on the same level (6.3%, ICD-10 code: W18). The mean age at fall deaths increased from 77.5 years in 1998–2002 to 82.9 years in 2010–2014 while for other deaths it increased from 78.5 to 79.8 years over the same period. The overall mean age-standardised rate of fall mortality was 8.3 and 4.0 per 1 00 000 person-years in men and women, respectively, and increased by 1.7% per year in men and 0.8% per year in women during 1998–2014. Head injury and diseases of the circulatory system were recorded as contributing cause on 48.7% of fall deaths.ConclusionsThere is an increasing trend of deaths due to falls in southern Sweden. Further investigations are required to explain this observation particularly among elderly men.

Bipolar and related disorders in DSM-5 and ICD-10

CNS Spectrums ◽  
2016 ◽  
Vol 21 (4) ◽  
pp. 318-323 ◽  
Author(s):  
Alexander Kaltenboeck ◽  
Dietmar Winkler ◽  
Siegfried Kasper
Keyword(s):  
Negative Impact ◽  
Bipolar Disorders ◽  
Diagnostic Categories ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Previous Edition ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

Bipolar disorders are a group of psychiatric disorders with profound negative impact on affected patients. Even if their symptomatology has long been recognized, diagnostic criteria have changed over time and diagnosis often remains difficult. The Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), issued in May 2013, comprises several changes regarding the diagnosis of bipolar disorders compared to the previous edition. Diagnostic categories and criteria for bipolar disorders show some concordance with the internationally also widely used Tenth Edition of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). However, there are also major differences that are worth highlighting. The aim of the following text is to depict and discuss those.

Abstract 17375: The Potential Role of Stress-Associated Neurobiological Metabolism in the Cardiovascular Sequelae of Sleep Apnea

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Ahmed Ghoneem ◽  
Michael Osborne ◽  
Shady Abohashem ◽  
Hadil Zureigat ◽  
Tawseef Dar ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Central Sleep Apnea ◽  
Sleep Fragmentation ◽  
Novel Treatments ◽  
Positron Emission ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

Introduction: Obstructive and central sleep apnea (SA) induce sleep fragmentation and associates with HTN and cardiovascular diseases (CVDs). Sleep fragmentation is known to increase stress. Further, heightened stress-associated neurobiological metabolism (particularly amygdalar activity - AmygA), potentiates atherosclerosis. However, it is unknown: 1) whether SA increases AmygA in humans, or 2) whether AmygA mediates the link between SA and its CV consequences (HTN and CVD). Hypothesis: SA associates with higher AmygA which in turn associates with hypertension (HTN) and myocardial infarction (MI). Methods: We studied a cohort of 36424 participants within the Partners Biobank. Diagnoses of MI and sleep apnea and relevant clinical data were obtained from International Statistical Classification of Diseases and Related Health Problems (ICD-10) codes. A subset of 1520 patients provided clinically indicated 18F-fluorodeoxyglucose positron emission tomography/computed tomography imaging. AmygA was measured using validated measures. Results: Of 36424 participants, 6596 (18.1%) had SA, 20881(57.3%) had HTN and 4033 (11.1%) had MI. OSA significantly associated with HTN (OR [95%CI]: 3.2 [2.95, 4.48], p<0.0001) and MI (1.30 [1.21, 1.41], p<0.001) in multivariable models. SA associated with AmygA (β [95%CI]: 0.183 [0.058, 0.337], p=0.006). AmygA associated with HTN (1.18 [1.02, 1.38], p= 0.028). Further, AmygA associated with MI (1.28 [1.11, 1.46], p=0.0005). Moreover, AmygA mediated the association between SA and HTN and between SA and MI (p<0.05 for both, figs 1a and 1b). Conclusion: Our findings suggest that SA increases the risk of HTN & MI via a mechanism that involves heightened amygdalar activity. This potential mechanism may inform novel treatments.

The Implementation of New Morbidity Classifications in Canada

2003 ◽  
Vol 31 (1) ◽  
pp. 1-8
Author(s):  
Lori Moskal
Keyword(s):  
Health Information ◽  
Health Interventions ◽  
Statistical Classification ◽  
Implementation Support ◽  
Canadian Institute ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification ◽  
New Morbidity

Canada is in the midst of a staggered implementation of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Canada (ICD-10-CA) and the Canadian Classification of Health Interventions (CCI). These classifications are more comprehensive than historical standards and their capacity extends beyond the scope of their predecessor classifications. Canada is the first country to produce the new classifications in a database, with the final product in an infobase format. The Canadian Institute for Health Information (CIHI) was responsible for the enhancement of ICD-10-CA, the development of CCI, the education of coders, and the provision of post-implementation support.

scholarly journals Das überarbeitete Konzept der Persönlichkeitsstörungen nach ICD-11: Neuerungen und mögliche Konsequenzen für die forensisch-psychiatrische Tätigkeit

2021 ◽  
Author(s):  
Nicole C. Hauser ◽  
Sabine C. Herpertz ◽  
Elmar Habermeyer
Keyword(s):  
Health Problems ◽  
Statistical Classification ◽  
Diagnostische Verfahren ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

ZusammenfassungMit der Einführung der ICD-11 (International Statistical Classification of Diseases and Related Health Problems, 11. Auflage) wird die Diagnostik von Persönlichkeitsstörungen grundlegend verändert. Die Notwendigkeit einer Abkehr von der traditionellen typologischen Auffassung und Beschreibung von Persönlichkeitsstörungen wurde aufgrund folgender Problemstellungen gesehen: Das kategoriale Konzept einer Persönlichkeitsstörung nach ICD-10 (International Statistical Classification of Diseases and Related Health Problems, 10. Auflage) begünstige die Stigmatisierung Betroffener, was dazu beitrage, dass die Diagnose in der klinischen Praxis zu selten vergeben werde. Wenn sie gestellt werde, komme es zu einer (zu) hohen Prävalenz der Persönlichkeitsstörung „nicht näher bezeichnet“ bzw. zu hohen Komorbiditäten zwischen verschiedenen Persönlichkeitsstörungen, was Zweifel an der Reliabilität der Persönlichkeitsstörungen begründe. Außerdem sei das in der ICD-10 geforderte Kriterium der Zeitstabilität unter Berücksichtigung von Verlaufsstudien nicht mehr sinnvoll anwendbar. Der Artikel skizziert die Hintergründe für die Überarbeitung der Konzeption von Persönlichkeitsstörungen, um nachfolgend das aktuelle diagnostische Verfahren nach ICD-11 zu illustrieren. Abschließend werden die Implikationen der neuen diagnostischen Vorgaben für die forensisch-psychiatrische Schuldfähigkeitsbegutachtung diskutiert und anhand von Persönlichkeitsprofilen beispielhaft die Auswirkungen der Neukonzeption für die Therapieplanung bzw. -prognose dargestellt und diskutiert.

scholarly journals Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2602
Author(s):  
Shay Poulter ◽  
Belinda Steer ◽  
Brenton Baguley ◽  
Lara Edbrooke ◽  
Nicole Kiss
Keyword(s):  
Predictive Ability ◽  
Binary Logistic Regression ◽  
Kappa Statistic ◽  
Unplanned Admission ◽  
Prevalence Studies ◽  
Logistic Regression Models ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

The Global Leadership Initiative on Malnutrition (GLIM) criteria are consensus criteria for the diagnosis of malnutrition. This study aimed to investigate and compare the prevalence of malnutrition using the GLIM, European Society for Clinical Nutrition and Metabolism (ESPEN) and International Statistical Classification of Diseases version 10 (ICD-10) criteria; compare the level of agreement between these criteria; and identify the predictive validity of each set of criteria with respect to 30-day outcomes in a large cancer cohort. GLIM, ESPEN and ICD-10 were applied to determine the prevalence of malnutrition in 2794 participants from two cancer malnutrition point prevalence studies. Agreement between the criteria was analysed using the Cohen’s Kappa statistic. Binary logistic regression models were used to determine the ability of each set of criteria to predict 30-day mortality and unplanned admission or readmission. GLIM, ESPEN and ICD-10 criteria identified 23.0%, 5.5% and 12.6% of the cohort as malnourished, respectively. Slight-to-fair agreement was reported between the criteria. All three criteria were predictive of mortality, but only the GLIM and ICD-10 criteria were predictive of unplanned admission or readmission at 30 days. The GLIM criteria identified the highest prevalence of malnutrition and had the greatest predictive ability for mortality and unplanned admission or readmission in an oncology population.

ICD-11: Neurokognitive Störungen

2018 ◽  
Vol 86 (03) ◽  
pp. 172-177
Author(s):  
Frank Jessen ◽  
Lutz Frölich
Keyword(s):  
Neurodevelopmental Disorders ◽  
Neurodegenerative Erkrankungen ◽  
Statistical Classification ◽  
Classification Of Diseases ◽  
Neurokognitive Störungen ◽  
Alzheimer Krankheit ◽  
Icd 10 ◽  
International Statistical Classification ◽  
Beta Version

ZusammenfassungDie Sektion Neurokognitive Störungen im Kapitel 06 (Mental, Behavioural or Neurodevelopmental Disorders) löst in der 11. Revision der ICD (International Statistical Classification of Diseases and Related Health Problems), aktuell in der Beta-Version vorliegend, das Kapitel F0 des ICD-10 ab. Es sind hier unter anderem wesentliche Veränderungen in der Konzeptualisierung von neurodegenerativen Erkrankungen gegenüber der vorherigen Version vorgenommen worden. Zusätzlich werden die neurodegenerativen Erkrankungen in dem Kapitel 08, (Diseases of the Nervous System) klassifiziert. Positiv ist, dass im Kapitel 06 das Konzept der „organischen“ Störungen verlassen wurde und stattdessen auf erworbene Erkrankungen mit kognitiven Störungen als Leitsymptom fokussiert.Neben dem Delir und dem amnestischen Syndrom finden sich hier die Demenzen und die leichte neurokognitive Störung. Die ätiologische Klassifikation der Demenzen richtet sich weiterhin nach syndromalen Kategorien aus. Eine Würdigung der neuen Biomarker-basierten ätiologischen Klassifikation der Alzheimer Krankheit ist bisher nicht integriert. Die leichte neurokognitive Störung konnte zunächst keiner Ätiologie zugeordnet werden. Dies ist nun ergänzt worden und es besteht die Möglichkeit, die leichte neurokognitive Störung z. B. mit der Alzheimer Krankheit zu assoziieren. Im Kapitel 08 des ICD-11 ist die Alzheimer Krankheit direkt kodierbar, ohne dass diese mit einem spezifischen klinischen Syndrom verknüpft wird. Allerdings fehlt auch in diesem Kapitel der Bezug zu Biomarkern, so dass unklar ist, wie die Alzheimer Krankheit diagnostiziert werden soll. Gleiches gilt für andere neurodegenerative Erkrankungen. Die alte syndromale Herangehensweise im Kapitel 06 ist aus Sicht der Versorgung und der weltweiten Gültigkeit der ICD nachvollziehbar, da in vielen Regionen der Welt keine Biomarker für neurodegenerative Erkrankungen zur Verfügung stehen und weil es bis heute nur syndromale Therapien gibt, welche auch nur im Demenzstadium der Erkrankung wirksam ist. Gleichzeitig ist diese Klassifikation aber auch limitiert, da sie keinen molekular-diagnostischen Zugang bietet, was mit der Einführung Pathologie-spezifischer Therapien in der Zukunft nicht vereinbar ist.

scholarly journals Zaburzenie używania alkoholu według DSM-5. Możliwości i ograniczenia wynikające ze zmiany kryterów diagnostycznych

2020 ◽  
Author(s):  
Robert Modrzyński
Keyword(s):  
Alcohol Use ◽  
Mental Disorders ◽  
Alcohol Use Disorder ◽  
Statistical Classification ◽  
Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification

Kolejna rewizja podręcznika DSM (ang. Diagnostics and Statistical Manual of Mental Disorders – DSM-5) pojawiła się w 2013 roku i wprowadziła daleko idące zmiany w rozumieniu zaburzeń stosowania substancji psychoaktywnych. Najważniejszy przełom dotyczy rozumienia używania alkoholu. Odejście od dychotomicznego, zero-jedynkowego rozumieniauzależnienia od alkoholu i nadużywania pozwoliło na stworzenie nowej kategorii diagnostycznej zaburzeń używania alkoholu (alcohol use disorder – AUD). W artykule poruszono zagadnienie zmian w kryteriach diagnostycznych dotyczących zaburzenia używania alkoholu w świetle najnowszej klasyfikacji DSM-5. Zaprezentowano umiejscowieniekategorii zaburzeń używania alkoholu, jej definicję wraz z kryteriami diagnostycznymi. Dokonano również zestawienia objawów zaburzenia używania alkoholu wg DSM-5 z odpowiadającymi im kryteriami ICD-10 (ang. International Statistical Classification of Diseases and Related Health Problems). Na zakończenie artykułu przedstawiono liczne kontrowersje wokuł nowej kategorii. Podkreślono wyzwanie dla przyszłych badań, jakim jest planowanie leczenia w zależności od stopnia cieżkości zaburzenia używania alkoholu.

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