scholarly journals Exploring injury intentionality and mechanism via ICD-10-CM injury codes and self-reported injury in a large, urban emergency department

2021 ◽  
Vol 27 (Suppl 1) ◽  
pp. i62-i65
Author(s):  
Michael J Clery ◽  
Philip Joseph Hudson ◽  
Jasmine C Moore ◽  
Laura M Mercer Kollar ◽  
Daniel T Wu
Keyword(s):  
Trauma Centre ◽  
Coding System ◽  
Diagnostic Codes ◽  
Classification Of Diseases ◽  
Share Data ◽  
Icd 10 ◽  
International Statistical Classification ◽  
Urban Level ◽  
Low Sensitivity

Health systems capture injuries using International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Clinical Modification (ICD-10-CM) diagnostic codes and share data with public health to inform injury surveillance. This study analyses provider-assigned ICD-10-CM injury codes among self-reported injuries to determine the effectiveness of ICD-10-CM coding in capturing injury and assault.MethodsSelf-reported injury screen records from an urban, level 1 trauma centre collected between 20 November 2015 and 30 September 2019 were compared with corresponding provider-assigned ICD-10-CM codes discerning the frequency in which intentions are indicated among patients reporting (1) any injury and (2) assault.ResultsOf 380 922 patients screened, 32 788 (8.61%) reported any injury and 6763 (1.78%) reported assault. ICD-10-CM codes had a sensitivity of 67.40% (95% CI 66.89% to 67.91%) for any injury and specificity of 89.79% (95% CI 89.69% to 89.89%]). For assault, ICD-10-CM codes had sensitivity of 2.25% (95% CI 1.91% to 2.63%) and specificity of 99.97% (95% CI 99.97% 99.98%).DiscussionThis study found provider-assigned ICD-10-CM had limited sensitivity to identify injury and low sensitivity for assault. This study more fully characterises ICD-10-CM coding system effectiveness in identifying assaults.

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.

Validation of ICD-10 codes shows intracranial venous thrombosis incidence to be higher than previously reported

2018 ◽  
Vol 49 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Joel D Handley ◽  
Hedley CA Emsley
Keyword(s):  
Positive Predictive Value ◽  
Cerebral Infarction ◽  
Venous Thrombosis ◽  
Cerebral Venous Thrombosis ◽  
International Classification Of Diseases ◽  
Coding System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
In Pregnancy

Background: Intracranial venous thrombosis (ICVT) accounts for around 0.5% of all stroke cases. There have been no previously published studies of the International Classification of Diseases, Tenth Edition (ICD-10) validation for the identification of ICVT admissions in adults. Objective: The aims of this study were to validate and quantify the performance of the ICD-10 coding system for identifying cases of ICVT in adults and to derive an estimate of incidence. Method: Administrative data were collected for all patients admitted to a regional neurosciences centre over a 5-year period. We searched for the following ICD-10 codes at any position: G08.X (intracranial and intraspinal phlebitis and thrombophlebitis), I67.6 (non-pyogenic thrombosis of intracranial venous system), I63.6 (cerebral infarction due to cerebral venous thrombosis, non-pyogenic), O22.5 (cerebral venous thrombosis in pregnancy) and O87.3 (cerebral venous thrombosis in the puerperium). Results: Sixty-five admissions were identified by at least one of the relevant ICD-10 codes. The overall positive predictive value (PPV) for confirmed ICVT from all of the admissions combined was 92.3% (60 out of 65) with the results for each code as follows: G08.X 91.5% (54 of 59), O22.5 100% (4 of 4), I67.6 100% (1 of 1), I63.6 100% (1 of 1) and O87.3 100% (1 of 1). There were 40 unique cases of ICVT over a 5-year period giving an annual incidence of ICVT of 5 per million. Conclusions: All codes gave a high PPV. Implications for practice: As demonstrated in previous studies, the incidence of ICVT may be higher than previously thought.

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”.

Administrative coding methods impact surgical site infection rates

2020 ◽  
Vol 41 (12) ◽  
pp. 1461-1463
Author(s):  
Mohammed A. Alsuhaibani ◽  
Mohammed A. Alzunitan ◽  
Kyle E. Jenn ◽  
Michael B. Edmond ◽  
Angelique M. Dains ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
International Classification Of Diseases ◽  
Site Infection ◽  
Coding System ◽  
Infection Rates ◽  
Coding Method ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
The Impact

AbstractWe performed a retrospective analysis of the impact of using the International Classification of Diseases, Tenth Revision procedure coding system (ICD-10) or current procedural terminology (CPT) codes to calculate surgical site infection (SSI) rates. Denominators and SSI rates vary depending on the coding method used. The coding method used may influence interhospital performance comparisons.

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.

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