scholarly journals Dementia and Diabetes Mellitus: Association with Apolipoprotein E4 Polymorphism from a Hospital in Southern India

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Lakshmi Narayanan Kota ◽  
Bhagyalakshmi Mallapura Shankarappa ◽  
Prafulla Shivakumar ◽  
Shilpa Sadanand ◽  
Bhavani Shankara Bagepally ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
International Classification Of Diseases ◽  
Alzheimer’S Dementia ◽  
Self Report ◽  
Parental History ◽  
Alzheimer's Dementia ◽  
Apolipoprotein E4 ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
History Of

Objective. To evaluate the association of Apolipoprotein E4 (ApoE4) in Alzheimer's dementia (AD) with comorbid diabetes mellitus (DM).Methods. The study included subjects with Alzheimer's dementia (AD) (n=209), individuals with non-Alzheimer's dementia (nAD) (n=122), individuals with parental history of AD (f/hAD) (n=70), and control individuals who had normal cognitive functions and no parental history of dementia (NC) (n=193). Dementia was diagnosed using International Classification of Diseases-10 revision (ICD-10) criteria. DM was assessed on the basis of self-report and/or use of antidiabetic medications. ApoE genotyping was done using sequence-specific primer polymerase chain reaction.Results. ApoE4 allele frequencies were highest among AD with comorbid DM (0.35) followed by AD without DM (0.25), nAD with DM (0.13), nAD without comorbid DM (0.12), and NC (0.08). Frequency of ApoE4 in persons with f/hAD was 0.13. The association of AD with co-morbid DM in ApoE4 carriers was more in comparison to NC with DM (OR=5.68,P=0.04).Conclusion. There is a significant association between AD with co-morbid DM and ApoE4 genotype.

scholarly journals ICD-11 extension codes support detailed clinical abstraction and comprehensive classification

2021 ◽  
Vol 21 (S6) ◽  
Author(s):  
Saskia E. Drösler ◽  
Stefanie Weber ◽  
Christopher G. Chute
Keyword(s):  
Clinical History ◽  
International Classification Of Diseases ◽  
Disease Stage ◽  
Clinical State ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Clinical Detail ◽  
History Of ◽  
Comprehensive Classification

Abstract Background The new International Classification of Diseases—11th revision (ICD-11) succeeds ICD-10. In the three decades since ICD-10 was released, demands for detailed information on the clinical history of a morbid patient have increased. Methods ICD-11 has now implemented an addendum chapter X called “Extension Codes”. This chapter contains numerous codes containing information on concepts including disease stage, severity, histopathology, medicaments, and anatomical details. When linked to a stem code representing a clinical state, the extension codes add significant detail and allow for multidimensional coding. Results This paper discusses the purposes and uses of extension codes and presents three examples of how extension codes can be used in coding clinical detail. Conclusion ICD-11 with its extension codes implemented has the potential to improve precision and evidence based health care worldwide.

scholarly journals Predictors of Cerebral Arteriovenous Malformation Mortality: A Single-center, Five-year Retrospective Study

2021 ◽  
Vol 9 (3) ◽  
pp. 213-218
Author(s):  
Patricio Garcia-Espinosa ◽  
Edgar Botello-Hernández ◽  
Gabriela Torres-Hernández ◽  
Clarissa Guerrero-Cavazos ◽  
Estefania Villareal-Garza ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Univariate Analysis ◽  
International Classification Of Diseases ◽  
University Hospital ◽  
P Value ◽  
Predictors Of Mortality ◽  
The Hours ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
History Of

Background: Arteriovenous Malformations (AVMs) are abnormalities in intracranial vessels between the arterial and venous systems. This study aimed to identify the predictors of mortality in patients that presented to our hospital with AVMs, ruptured or unruptured, and correlate them to those available in the literature. Methods: An analytical, observational, retrospective study was performed to review data of patients with cerebral AVMs in the University Hospital “Dr José Eleuterio González” from January 2016 to December 2020. Clinical files were reviewed based on AVMs diagnosis according to the  International Classification of Diseases 10th Revision, ICD-10. Variables were subjected to a univariate analysis and those found significant (p-value < 0.05) were subjected to a logistic regression. Results: A total of 80 patients were included in our study. Most of the participants were females (56.3%) and three were pregnant. The most common presenting symptom was holocranial headache (34 cases) occurring between the hours of 22:00 to 7:00. The most significant predictors of mortality were a total bleeding volume greater than 9.18 cm3 (p = 0.010), the presence of more than one symptom (p = 0.041), and a history of previous cerebral intraparenchymal hemorrhage (p = 0.014). Conclusion: Results demonstrated an important association between intracranial bleeding and mortality. Ultimately, more prospective studies are needed to determine predictor factors for mortality in AVMs patients.

scholarly journals A Missed Opportunity to Prevent Subsequent Fractures Confirmed through Trends in the Treatment of Osteoporosis in Patients with Distal Radius and Hip Fractures

2020 ◽  
Author(s):  
Dae-Geun Kim ◽  
Hae-Dong Jang ◽  
Gi-Won Seo ◽  
Hyun-Uk Lee ◽  
Hye-Won Nam
Keyword(s):  
Distal Radius ◽  
Osteoporosis Treatment ◽  
International Classification Of Diseases ◽  
Trend Test ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
History Of ◽  
Armitage Trend Test ◽  
Missed Opportunity

Abstract Background A history of osteoporotic fracture (OF) is strongly associated with subsequent OFs. It is important to treat osteoporosis following OFs to prevent subsequent fractures. A distal radius fracture (DRF) is the most common type of OF in people in their 50s and could be a hallmark of future OFs. We compared the rate of osteoporosis treatment within 6 months post-DRF with hip fracture (HF). Methods We used data from the Korean Health Insurance Review and Assessment Service nationwide claims database from 2010 to 2016. International Classification of Diseases 10th revision (ICD-10) codes and procedures codes were used to identify patients older than 50 years with newly diagnosed DRFs and HFs. Then the rate of prescription and kinds of osteoporosis medications in these patients were analysed. We also compared the trends in both groups using the Cochran–Armitage trend test. Results A database search identified 77,209 DRFs and 72,044 HFs in patient aged 50 years or older from 2011 to 2016. Insufficient DRF and HF patients had osteoporosis medications (17.2% and 34.5%) and the numbers of osteoporosis medication for both DRFs and HFs decreased significantly annually ( P <0.0001). Bisphosphonates were used most often, although the use of selective oestrogen receptor modifiers (SERMs) increased gradually in both groups.Conclusions Clinicians who treat OFs should treat osteoporosis to prevent subsequent fractures and pay more attention to DRF patients who fail to get proper osteoporosis treatment.

scholarly journals The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis

JMIR Cardio ◽  
10.2196/28015 ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. e28015
Author(s):  
Elma Dervic ◽  
Carola Deischinger ◽  
Nils Haug ◽  
Michael Leutner ◽  
Alexandra Kautzky-Willer ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
International Classification Of Diseases ◽  
Cardiovascular Comorbidities ◽  
Nicotine Abuse ◽  
Lipid Metabolism Disorders ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Structured Approach

Background Although men are more prone to developing cardiovascular disease (CVD) than women, risk factors for CVD, such as nicotine abuse and diabetes mellitus, have been shown to be more detrimental in women than in men. Objective We developed a method to systematically investigate population-wide electronic health records for all possible associations between risk factors for CVD and other diagnoses. The developed structured approach allows an exploratory and comprehensive screening of all possible comorbidities of CVD, which are more connected to CVD in either men or women. Methods Based on a population-wide medical claims dataset comprising 44 million records of inpatient stays in Austria from 2003 to 2014, we determined comorbidities of acute myocardial infarction (AMI; International Classification of Diseases, Tenth Revision [ICD-10] code I21) and chronic ischemic heart disease (CHD; ICD-10 code I25) with a significantly different prevalence in men and women. We introduced a measure of sex difference as a measure of differences in logarithmic odds ratios (ORs) between male and female patients in units of pooled standard errors. Results Except for lipid metabolism disorders (OR for females [ORf]=6.68, 95% confidence interval [CI]=6.57-6.79, OR for males [ORm]=8.31, 95% CI=8.21-8.41), all identified comorbidities were more likely to be associated with AMI and CHD in females than in males: nicotine dependence (ORf=6.16, 95% CI=5.96-6.36, ORm=4.43, 95% CI=4.35-4.5), diabetes mellitus (ORf=3.52, 95% CI=3.45-3.59, ORm=3.13, 95% CI=3.07-3.19), obesity (ORf=3.64, 95% CI=3.56-3.72, ORm=3.33, 95% CI=3.27-3.39), renal disorders (ORf=4.27, 95% CI=4.11-4.44, ORm=3.74, 95% CI=3.67-3.81), asthma (ORf=2.09, 95% CI=1.96-2.23, ORm=1.59, 95% CI=1.5-1.68), and COPD (ORf=2.09, 95% CI 1.96-2.23, ORm=1.59, 95% CI 1.5-1.68). Similar results could be observed for AMI. Conclusions Although AMI and CHD are more prevalent in men, women appear to be more affected by certain comorbidities of AMI and CHD in their risk for developing CVD.

Classification

2017 ◽  
pp. 21-34
Author(s):  
Paul Harrison ◽  
Philip Cowen ◽  
Tom Burns ◽  
Mina Fazel
Keyword(s):  
International Classification Of Diseases ◽  
Classification Systems ◽  
World Health ◽  
Psychiatric Classification ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
History Of ◽  
Key Issues

‘Classification’ introduces concepts of mental illness before briefly reviewing the reasons for, and criticisms of, psychiatric classification. Key issues of reliability, validity, and stigma associated with classification are covered. After an overview of the history of classifications, the organizing principles of the two current major classification systems used in psychiatry (ICD-10 and DSM-5) are then outlined: the World Health Organization’s International Classification of Diseases (‘ICD-10’), and the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (‘DSM-5’). Additional schemes, used in particular countries, are also briefly mentioned. Finally, the chapter summarizes how psychiatric classification may develop in the future, with particular reference to ICD-11, which is due in 2018 or 2019.

scholarly journals Pterygia are indicators of an increased risk of developing cutaneous melanomas

2017 ◽  
Vol 102 (4) ◽  
pp. 496-501 ◽  
Author(s):  
Julie M Crewe ◽  
Tim Threlfall ◽  
Antony Clark ◽  
Paul G Sanfilippo ◽  
David A Mackey
Keyword(s):  
International Classification Of Diseases ◽  
Data Sets ◽  
Care Providers ◽  
Health Administrative Data ◽  
Increased Risk ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
History Of ◽  
Incident Rate

AimTo investigate whether pterygium is an indicator of an increased risk of cutaneous melanoma (CM).MethodsA matched-cohort study, using linked health administrative data sets to identify all hospital-treated pterygium in Western Australia (WA) between 1979 and 2014. We identified pterygium cases from hospital diagnosis and/or procedure International Classification of Diseases 9th revision (ICD-9) and 10th revision (ICD-10) codes and matched cases by age, sex and residential postcode to WA Electoral Roll controls with no known history of pterygium. Both cohorts were linked to the WA Cancer Registry and the WA Deaths Registry.Results23 625 people had pterygium treatment (64% male) in WA hospitals. The median age for pterygium diagnosis and/or treatment was 49 years (range 14–96). There were significantly more CM cases in the pterygium cohort compared with the control cohort (1083 vs 874; p<0.001). In a logistic regression analysis, there was a 24% increase in the odds of developing a CM in the pterygium cohort, compared with controls, after controlling for other predictors (OR 1.24, 95% CI 1.1 to 1.4). The incident rate ratio (IRR) of a malignant CM diagnosis was 20% greater in people who had treatment for a pterygium compared with controls (IRR 1.2, 95% CI 1.0 to 1.4).ConclusionThe presence of a pterygium indicates a significantly increased risk of developing a CM. Eye care providers who see patients with developing pterygia should advise these patients of this increased risk and recommend regular skin surveillance.

scholarly journals The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis (Preprint)

2021 ◽  
Author(s):  
Elma Dervic ◽  
Carola Deischinger ◽  
Nils Haug ◽  
Michael Leutner ◽  
Alexandra Kautzky-Willer ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
International Classification Of Diseases ◽  
Cardiovascular Comorbidities ◽  
Nicotine Abuse ◽  
Lipid Metabolism Disorders ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Structured Approach

BACKGROUND Although men are more prone to developing cardiovascular disease (CVD) than women, risk factors for CVD, such as nicotine abuse and diabetes mellitus, have been shown to be more detrimental in women than in men. OBJECTIVE We developed a method to systematically investigate population-wide electronic health records for all possible associations between risk factors for CVD and other diagnoses. The developed structured approach allows an exploratory and comprehensive screening of all possible comorbidities of CVD, which are more connected to CVD in either men or women. METHODS Based on a population-wide medical claims dataset comprising 44 million records of inpatient stays in Austria from 2003 to 2014, we determined comorbidities of acute myocardial infarction (AMI; International Classification of Diseases, Tenth Revision [ICD-10] code I21) and chronic ischemic heart disease (CHD; ICD-10 code I25) with a significantly different prevalence in men and women. We introduced a measure of sex difference as a measure of differences in logarithmic odds ratios (ORs) between male and female patients in units of pooled standard errors. RESULTS Except for lipid metabolism disorders (OR for females [ORf]=6.68, 95% confidence interval [CI]=6.57-6.79, OR for males [ORm]=8.31, 95% CI=8.21-8.41), all identified comorbidities were more likely to be associated with AMI and CHD in females than in males: nicotine dependence (ORf=6.16, 95% CI=5.96-6.36, ORm=4.43, 95% CI=4.35-4.5), diabetes mellitus (ORf=3.52, 95% CI=3.45-3.59, ORm=3.13, 95% CI=3.07-3.19), obesity (ORf=3.64, 95% CI=3.56-3.72, ORm=3.33, 95% CI=3.27-3.39), renal disorders (ORf=4.27, 95% CI=4.11-4.44, ORm=3.74, 95% CI=3.67-3.81), asthma (ORf=2.09, 95% CI=1.96-2.23, ORm=1.59, 95% CI=1.5-1.68), and COPD (ORf=2.09, 95% CI 1.96-2.23, ORm=1.59, 95% CI 1.5-1.68). Similar results could be observed for AMI. CONCLUSIONS Although AMI and CHD are more prevalent in men, women appear to be more affected by certain comorbidities of AMI and CHD in their risk for developing CVD.

Angststörungen – von der ICD-10 zur ICD-11

2020 ◽  
pp. 1-5
Author(s):  
Timo D. Vloet ◽  
Marcel Romanos
Keyword(s):  
Mental Disorders ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.

Depression

2017 ◽  
Author(s):  
Philip Cowen
Keyword(s):  
International Classification Of Diseases ◽  
Behavioural Therapy ◽  
Historical Background ◽  
Cognitive Behavioural ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Diagnosis And Classification ◽  
Modern Experience ◽  
Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

scholarly journals Garbage codes as causes of death and quality of mortality statistics in Belo Horizonte, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Ishitani ◽  
R Teixeira ◽  
D Abreu ◽  
L Paixão ◽  
E França
Keyword(s):  
Causes Of Death ◽  
Health Planning ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Mortality Statistics ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Hospital Deaths ◽  
Belo Horizonte

Abstract Background Quality of cause-of-death information is fundamental for health planning. Traditionally, this quality has been assessed by the analysis of ill-defined causes from chapter XVIII of the International Classification of Diseases - 10th revision (ICD-10). However, studies have considered other useless diagnoses for public health purposes, defined, in conjunction with ill-defined causes, as garbage codes (GC). In Brazil, despite the high completeness of the Mortality Information System, approximately 30% of deaths are attributable to GCs. This study aims to analyze the frequency of GCs in Belo Horizonte municipality, the capital of Minas Gerais state, Brazil. Methods Data of deaths from 2011 to 2013 in Belo Horizonte were analyzed. GCs were classified according to the GBD 2015 study list. These codes were classified in: a) GCs from chapter XVIII of ICD-10 (GC-R), and b) GC from other chapters of ICD-10 (GC-nonR). Proportions of GC were calculated by sex, age, and place of occurrence. Results In Belo Horizonte, from the total of 44,123 deaths, 5.5% were classified as GC-R. The majority of GCs were GC-nonR (25% of total deaths). We observed a higher proportion of GC in children (1 to 4 years) and in people aged over 60 years. GC proportion was also higher in females, except in the age-groups under 1 year and 30-59 years. Home deaths (n = 7,760) had higher proportions of GCs compared with hospital deaths (n = 30,182), 36.9% and 28.7%, respectively. The leading GCs were the GC-R other ill-defined and unspecified causes of death (ICD-10 code R99)), and the GCs-nonR unspecified pneumonia (J18.9), unspecified stroke (I64), and unspecified septicemia (A41.9). Conclusions Analysis of GCs is essential to evaluate the quality of mortality information. Key messages Analysis of ill-defined causes (GC-R) is not sufficient to evaluate the quality of information on causes of death. Causes of death analysis should consider the total GC, in order to advance the discussion and promote adequate intervention on the quality of mortality statistics.

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