693. Performance of ICD Code Versus Discharge Summary based Query for Endocarditis Cohort Identification

Abstract Background Studies on infective endocarditis (IE) have relied on International Classification of Diseases (ICD) codes to identify cases but few have validated this method which may be prone to misclassification. Examination of clinical narrative data could offer greater accuracy and richness. Methods We evaluated two algorithms for IE identification from 7/1/2015 to 7/31/2019: (1) a standard query of ICD codes for IE (ICD-9: 424.9, 424.91, 424.99, 421.0, 421.1, 421.9, 112.81, 036.42 and ICD-10: I38, I39, I33, I33.9, B37.6 and A39.51) with or without procedure codes for echocardiogram (93303-93356) and (2) a key word, pattern-based text query of discharge summaries (DS) that selected on the term “endocarditis” in fields headed by “Discharge Diagnosis” or “Admission Diagnosis” or similar. Further coding extracted the nature and type of valve and the organism responsible for the IE if present in DS. All identified cases were chart reviewed using pre-specified criteria for true IE. Positive predictive value (PPV) was calculated as the total number of verified cases over the algorithm-selected cases. Sensitivity was the total number of algorithm-matched cases over a final list of 166 independently identified true IE cases from ID and Cardiology services. Specificity was defined using 119 pre-adjudicated non-cases minus the number of algorithm-matched cases over 119. Results The ICD-based query identified 612 individuals from July 2015 to July 2019 who had a hospital billing code for infective endocarditis; of these, 534 also had an echocardiogram. The DS query identified 387 cases. PPV for the DS query was 84.5% (95% confidence interval [CI] 80.6%, 87.8%) compared with 72.4% (95% CI 68.7%, 75.8%) for ICD only and 75.8% (95% CI 72.0%, 79.3%) for ICD + echo queries. Sensitivity was 75.9% for the DS query and 86.8-93.4% for the ICD queries. Specificity was high for all queries >94%. The DS query also yielded valve data (prosthetic, tricuspid, pulmonic, aortic or mitral) in 60% and microbiologic data in 73% of identified cases with an accuracy of 94% and 90% respectively when assessed by chart review. Table 1. Test Characteristics of Three Electronic Health Record Queries for Infective Endocarditis Conclusion Compared to traditional ICD-based queries, text-based queries of discharge summaries have the potential to improve precision of IE case ascertainment and extract key clinical variables. Disclosures All Authors: No reported disclosures

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Using a retrospective cross-sectional study to analyse unintentional fatal drowning in Australia: ICD-10 coding-based methodologies verses actual deaths

BMJ Open ◽

10.1136/bmjopen-2017-019407 ◽

2017 ◽

Vol 7 (12) ◽

pp. e019407 ◽

Cited By ~ 26

Author(s):

Amy E Peden ◽

Richard C Franklin ◽

Alison J Mahony ◽

Justin Scarr ◽

Paul D Barnsley

Keyword(s):

Causes Of Death ◽

International Classification Of Diseases ◽

Cross Sectional Study ◽

Cross Sectional ◽

Life Saving ◽

Classification Of Diseases ◽

Icd 10 ◽

Underlying Causes ◽

Icd Codes ◽

Underlying Cause Of Death

ObjectivesFatal drowning estimates using a single underlying cause of death (UCoD) may under-represent the number of drowning deaths. This study explores how data vary by International Classification of Diseases (ICD)-10 coding combinations and the use of multiple underlying causes of death using a national register of drowning deaths.DesignAn analysis of ICD-10 external cause codes of unintentional drowning deaths for the period 2007–2011 as extracted from an Australian total population unintentional drowning database developed by Royal Life Saving Society—Australia (the Database). The study analysed results against three reporting methodologies: primary drowning codes (W65-74), drowning-related codes, plus cases where drowning was identified but not the UCoD.SettingAustralia, 2007–2011.ParticipantsUnintentional fatal drowning cases.ResultsThe Database recorded 1428 drowning deaths. 866 (60.6%) had an UCoD of W65-74 (accidental drowning), 249 (17.2%) cases had an UCoD of either T75.1 (0.2%), V90 (5.5%), V92 (3.5%), X38 (2.4%) or Y21 (5.9%) and 53 (3.7%) lacked ICD coding. Children (aged 0–17 years) were closely aligned (73.9%); however, watercraft (29.2%) and non-aquatic transport (13.0%) were not. When the UCoD and all subsequent causes are used, 67.2% of cases include W65-74 codes. 91.6% of all cases had a drowning code (T75.1, V90, V92, W65-74, X38 and Y21) at any level.ConclusionDefining drowning with the codes W65-74 and using only the UCoD captures 61% of all drowning deaths in Australia. This is unevenly distributed with adults, watercraft and non-aquatic transport-related drowning deaths under-represented. Using a wider inclusion of ICD codes, which are drowning-related and multiple causes of death minimises this under-representation. A narrow approach to counting drowning deaths will negatively impact the design of policy, advocacy and programme planning for prevention.

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Evolution of Dementia Related to the Use of Alcohol in the French Nationwide Discharge Summary Database Between 2007 and 2017

American Journal of Alzheimer s Disease & Other Dementias® ◽

10.1177/1533317518822043 ◽

2018 ◽

Vol 34 (3) ◽

pp. 188-192 ◽

Cited By ~ 1

Author(s):

Michaël Rochoy ◽

Sophie Gautier ◽

Johana Béné ◽

Régis Bordet ◽

Emmanuel Chazard

Keyword(s):

Temporal Evolution ◽

Late Onset ◽

International Classification Of Diseases ◽

Discharge Summary ◽

Hospital Services ◽

Psychoactive Substances ◽

Classification Of Diseases ◽

Icd 10 ◽

Discharge Database

Background: The French nationwide exhaustive hospital discharge database (PMSI) is used for activity-based payment of hospital services. We hypothesized that the release of articles about alcohol and dementia could influence the identification of these diagnoses in PMSI. Methods: We analyzed temporal evolution of coding for dementia and other persistent or late-onset cognitive impairment (OPLOCI) due to alcohol and other psychoactive substances in the PMSI database from 2007 to 2017 (285 748 938 inpatient stays). These codings use the International Classification of Diseases, 10th revision (ICD-10). Results: The number of inpatient stays with dementia and OPLOCI due to alcohol increased from 34 to 1704 from 2007 to 2017. While the number of diagnosed dementias remained stable at around 400 from 2013, the number of OPLOCIs increased 10-fold from 2013 to 2017. This increase was not found with dementia or OPLOCI due to other psychoactive substances than alcohol. Conclusion: Notoriety of a diagnosis in the literature seems to have an impact on the coding.

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Angststörungen – von der ICD-10 zur ICD-11

Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie ◽

10.1024/1422-4917/a000768 ◽

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.

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Depression

10.1093/oso/9780198801900.003.0004 ◽

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.

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

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.053 ◽

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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Gunshot Injuries of the Hand: Incidence, Treatment Characteristics, and Factors Associated With Healthcare Utilization

Hand ◽

10.1177/1558944721998016 ◽

2021 ◽

pp. 155894472199801

Author(s):

Navapong Anantavorasakul ◽

Ritsaart F. Westenberg ◽

Arman T. Serebrakian ◽

Meryam Zamri ◽

Neal C. Chen ◽

...

Keyword(s):

Motor Nerve ◽

Multivariable Analysis ◽

International Classification Of Diseases ◽

Gunshot Injuries ◽

Bullet Fragment ◽

Treatment Characteristics ◽

Classification Of Diseases ◽

Icd 10 ◽

Utilization Of Healthcare ◽

Length Of Hospitalization

Background The objectives of this study are to: (1) describe the demographics, injury patterns, and treatment characteristics of patients who sustained a gunshot injury (GSI) of the hand; and (2) examine the utilization of healthcare resources in patients with a GSI of the hand. Methods We retrospectively identified 148 adult patients who were treated for a GSI of the hand between January 2000 to December 2017 using multiple International Classification of Diseases Ninth and Tenth Edition (ICD-9 and ICD-10) codes. We used bivariate and multivariable analysis to identify which factors are associated with unplanned reoperation, length of hospitalization, and number of operations. Results Multivariable logistic regression showed that fracture severity was associated with unplanned reoperation. Multivariable linear regression showed that fracture severity is associated with a higher number of hand operations after a GSI of the hand, and that a retained bullet (fragment) and patients having gunshot injuries in other regions than the hand had a longer length of hospitalization. Seventy (47%) patients had sensory or motor symptoms in the hand after their GSI, of which 22 (15%) patients had a transection of the nerve. Conclusions Sensory and motor nerve deficits are common after a GSI of the hand. However, only 31% of patients with symptoms had a transection of the nerve. A retained bullet (fragment), having more severe hand fractures, and GSI in other regions than the hand are associated with a higher number of operation and a longer period of hospitalization.

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Neue Terminologie für Sprachentwicklungsstörungen?

Monatsschrift Kinderheilkunde ◽

10.1007/s00112-021-01148-2 ◽

2021 ◽

Author(s):

K. Neumann ◽

B. Arnold ◽

A. Baumann ◽

C. Bohr ◽

H. A. Euler ◽

...

Keyword(s):

International Classification Of Diseases ◽

International Classification ◽

International Classification Of Disease ◽

Diagnostik Und Therapie ◽

Classification Of Diseases ◽

Icd 10

Zusammenfassung Hintergrund Sprachtherapeutisch-linguistische Fachkreise empfehlen die Anpassung einer von einem internationalen Konsortium empfohlenen Änderung der Nomenklatur für Sprachstörungen im Kindesalter, insbesondere für Sprachentwicklungsstörungen (SES), auch für den deutschsprachigen Raum. Fragestellung Ist eine solche Änderung in der Terminologie aus ärztlicher und psychologischer Sicht sinnvoll? Material und Methode Kritische Abwägung der Argumente für und gegen eine Nomenklaturänderung aus medizinischer und psychologischer Sicht eines Fachgesellschaften- und Leitliniengremiums. Ergebnisse Die ICD-10-GM (Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification) und eine S2k-Leitlinie unterteilen SES in umschriebene SES (USES) und SES assoziiert mit anderen Erkrankungen (Komorbiditäten). Die USES- wie auch die künftige SES-Definition der ICD-11 (International Classification of Diseases 11th Revision) fordern den Ausschluss von Sinnesbehinderungen, neurologischen Erkrankungen und einer bedeutsamen intellektuellen Einschränkung. Diese Definition erscheint weit genug, um leichtere nonverbale Einschränkungen einzuschließen, birgt nicht die Gefahr, Kindern Sprach- und weitere Therapien vorzuenthalten und erkennt das ICD(International Classification of Disease)-Kriterium, nach dem der Sprachentwicklungsstand eines Kindes bedeutsam unter der Altersnorm und unterhalb des seinem Intelligenzalter angemessenen Niveaus liegen soll, an. Die intendierte Ersetzung des Komorbiditäten-Begriffs durch verursachende Faktoren, Risikofaktoren und Begleiterscheinungen könnte die Unterlassung einer dezidierten medizinischen Differenzialdiagnostik bedeuten. Schlussfolgerungen Die vorgeschlagene Terminologie birgt die Gefahr, ätiologisch bedeutsame Klassifikationen und differenzialdiagnostische Grenzen zu verwischen und auf wertvolles ärztliches und psychologisches Fachwissen in Diagnostik und Therapie sprachlicher Störungen im Kindesalter zu verzichten.

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Validation of ICD-10-CM codes for injuries complicating pregnancy, childbirth and the puerperium: a medical record review

Injury Prevention ◽

10.1136/injuryprev-2019-043512 ◽

2021 ◽

Vol 27 (Suppl 1) ◽

pp. i9-i12

Author(s):

Anna Hansen ◽

Dana Quesinberry ◽

Peter Akpunonu ◽

Julia Martin ◽

Svetla Slavova

Keyword(s):

Emergency Department ◽

Medical Record ◽

International Classification Of Diseases ◽

Medical Record Review ◽

Full Sample ◽

Emergency Department Data ◽

Classification Of Diseases ◽

Icd 10 ◽

Record Review

IntroductionThe purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data.MethodsA medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP.ResultsThe estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%).DiscussionThe O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.

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Impact of ICD-9 to ICD-10 Coding Transition on Prevalence Trends in Neurology

Neurology Clinical Practice ◽

10.1212/cpj.0000000000001046 ◽

2021 ◽

Vol 11 (5) ◽

pp. e612-e619

Author(s):

Ali G. Hamedani ◽

Leah Blank ◽

Dylan P. Thibault ◽

Allison W. Willis

Keyword(s):

Time Series ◽

Status Epilepticus ◽

Interrupted Time Series ◽

International Classification Of Diseases ◽

Disease Prevalence ◽

Rate Of Change ◽

International Classification ◽

Classification Of Diseases ◽

Icd 10

ObjectiveTo determine the effect of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) coding transition on the point prevalence and longitudinal trends of 16 neurologic diagnoses.MethodsWe used 2014–2017 data from the National Inpatient Sample to identify hospitalizations with one of 16 common neurologic diagnoses. We used published ICD-9-CM codes to identify hospitalizations from January 1, 2014, to September 30, 2015, and used the Agency for Healthcare Research and Quality's MapIt tool to convert them to equivalent ICD-10-CM codes for October 1, 2015–December 31, 2017. We compared the prevalence of each diagnosis before vs after the ICD coding transition using logistic regression and used interrupted time series regression to model the longitudinal change in disease prevalence across time.ResultsThe average monthly prevalence of subarachnoid hemorrhage was stable before the coding transition (average monthly increase of 4.32 admissions, 99.7% confidence interval [CI]: −8.38 to 17.01) but increased after the coding transition (average monthly increase of 24.32 admissions, 99.7% CI: 15.71–32.93). Otherwise, there were no significant differences in the longitudinal rate of change in disease prevalence over time between ICD-9-CM and ICD-10-CM. Six of 16 neurologic diagnoses (37.5%) experienced significant changes in cross-sectional prevalence during the coding transition, most notably for status epilepticus (odds ratio 0.30, 99.7% CI: 0.26–0.34).ConclusionsThe transition from ICD-9-CM to ICD-10-CM coding affects prevalence estimates for status epilepticus and other neurologic disorders, a potential source of bias for future longitudinal neurologic studies. Studies should limit to 1 coding system or use interrupted time series models to adjust for changes in coding patterns until new neurology-specific ICD-9 to ICD-10 conversion maps can be developed.

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A Mixed-Methods Comparison of a National and State Opioid Overdose Surveillance Definition

Public Health Reports ◽

10.1177/00333549211018181 ◽

2021 ◽

Vol 136 (1_suppl) ◽

pp. 31S-39S

Author(s):

Danielle M. Brathwaite ◽

Catherine S. Wolff ◽

Amy I. Ising ◽

Scott K. Proescholdbell ◽

Anna E. Waller

Keyword(s):

North Carolina ◽

False Positive ◽

False Positive Rate ◽

International Classification Of Diseases ◽

Opioid Overdose ◽

The North ◽

Classification Of Diseases ◽

Positive Rate ◽

Icd 10 ◽

Ed Visits

Objectives We assessed the differences between the first version of the Centers for Disease Control and Prevention (CDC) opioid surveillance definition for suspected nonfatal opioid overdoses (hereinafter, CDC definition) and the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) surveillance definition to determine whether the North Carolina definition should include additional International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and/or chief complaint keywords. Methods Two independent reviewers retrospectively reviewed data on North Carolina emergency department (ED) visits generated by components of the CDC definition not included in the NC DETECT definition from January 1 through July 31, 2018. Clinical reviewers identified false positives as any ED visit in which available evidence supported an alternative explanation for patient presentation deemed more likely than an opioid overdose. After individual assessment, reviewers reconciled disagreements. Results We identified 2296 ED visits under the CDC definition that were not identified under the NC DETECT definition during the study period. False-positive rates ranged from 2.6% to 41.4% for codes and keywords uniquely identifying ≥10 ED visits. Based on uniquely identifying ≥10 ED visits and a false-positive rate ≤10.0%, 4 of 16 ICD-10-CM codes evaluated were identified for NC DETECT definition inclusion. Only 2 of 25 keywords evaluated, “OD” and “overdose,” met inclusion criteria to be considered a meaningful addition to the NC DETECT definition. Practice Implications Quantitative and qualitative trends in coding and keyword use identified in this analysis may prove helpful for future evaluations of surveillance definitions.

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