Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review.

BACKGROUND: Intentional and unintentional injuries are a leading cause of death and disability globally. International Classification of Diseases (ICD), Tenth Revision (ICD-10) codes are used to classify injuries in administrative health data and are widely used for health care planning and delivery, research, and policy. However, a systematic review of their overall validity and reliability has not yet been done. OBJECTIVE: To conduct a systematic review of the validity and reliability of external cause injury ICD-10 codes. METHODS: MEDLINE, EMBASE, COCHRANE, and SCOPUS were searched (inception to April 2023) for validity and/or reliability studies of ICD-10 external cause injury codes in all countries for all ages. We examined all available data for external cause injuries and injuries related to specific body regions. Validity was defined by sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Reliability was defined by inter-rater reliability (IRR), measured by Krippendorff's alpha, Cohen's Kappa, and/or Fleiss' kappa. RESULTS: Twenty-seven published studies from 2006 to 2023 were included. Across all injuries, the mean outcome values and ranges were sensitivity: 61.6% (35.5%-96.0%), specificity: 91.6% (85.8%-100%), PPV: 74.9% (58.6%-96.5%), NPV: 80.2% (44.6%-94.4%), Cohen's kappa: 0.672 (0.480-0.928), Krippendorff's alpha: 0.453, and Fleiss' kappa: 0.630. Poisoning and hand and wrist injuries had higher mean sensitivity (84.4% and 96.0%, respectively), while self-harm and spinal cord injuries were lower (35.5% and 36.4%, respectively). Transport and pedestrian injuries and hand and wrist injuries had high PPVs (96.5% and 92.0%, respectively). Specificity and NPV were generally high, except for abuse (NPV 44.6%). CONCLUSIONS AND SIGNIFICANCE: The validity and reliability of ICD-10 external cause injury codes vary based on the injury types coded and the outcomes examined, and overall, they only perform moderately well. Future work, potentially utilizing artificial intelligence, may improve the validity and reliability of ICD codes used to document injuries.

Confirmatory factor analysis of the Clinician-Administered PTSD Scale (CAPS-5) based on DSM-5 vs. ICD-11 criteria.

Introduction: Many studies have investigated the latent structure of the DSM-5 criteria for posttraumatic stress disorder (PTSD). However, most research on this topic was based on self-report data. We aimed to investigate the latent structure of PTSD based on a clinical interview, the Clinician-Administered PTSD Scale (CAPS-5). Method: A clinical sample of 345 participants took part in this multi-centre study. Participants were assessed with the CAPS-5 and the Posttraumatic Stress Disorder Checklist (PCL-5). We evaluated eight competing models of DSM-5 PTSD symptoms and three competing models of ICD-11 PTSD symptoms. Results: The internal consistency of the CAPS-5 was replicated. In CFAs, the Anhedonia model emerged as the best fitting model within all tested DSM-5 models. However, when compared with the Anhedonia model, the non-nested ICD-11 model as a less complex three-factor solution showed better model fit indices. Discussion: We discuss the findings in the context of earlier empirical findings as well as theoretical models of PTSD.

Introducción: Muchos estudios han investigado la estructura latente de los criterios DSM-5 para el trastorno de estrés postraumático (TEPT). Sin embargo, la mayoría de la investigación en este tema estuvo basada en datos de auto-reporte. Nuestro objetivo fue investigar la estructura latente del TEPT basado en una entrevista clínica, la Escala de TEPT administrada por el Clínico (CAPS-5 por su sigla en inglés).Método: En este estudio multicéntrico participó una muestra clínica de 345 personas. Los participantes fueron evaluados con la CAPS-5 y la Lista de Chequeo de Trastorno de Estrés Postraumático (PCL-5, por su sigla en inglés). Evaluamos ocho modelos competitivos de síntomas de TEPT del DSM-5 y tres modelos competitivos de síntomas de TEPT de la CIE-11.Resultados: La consistencia interna de la CAPS-5 fue replicada. En los AFC el modelo de anhedonia emergió como el de mejor ajuste entre todos los modelos del DSM-5 evaluados. Sin embargo, cuando se comparó con el modelo de anhedonia, el modelo no anidado de CIE-11 como una solución menos compleja de tres factores mostró mejores índices de ajuste de modelo.Discusión: Discutimos los hallazgos en el contexto de los resultados empíricos previos y de los modelos teóricos del TEPT.

Assessment of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Code Assignment Validity for Case Finding of Medication-related Hypoglycemia Acute Care Visits Among Medicare Beneficiaries.

OBJECTIVE: Administrative claims are commonly relied upon to identify hypoglycemia. We assessed validity of 14 International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code assignments to identify medication-related hypoglycemia leading to acute care encounters. RESEARCH DESIGN AND METHODS: A multisite, retrospective medical record review study was conducted in a sample of Medicare beneficiaries prescribed outpatient diabetes medications and who received hospital care between January 1, 2016 and September 30, 2017. Diagnosis codes were validated with structured medical record review using prespecified criteria (clinical presentation, blood glucose values, and treatments for hypoglycemia). Sensitivity, specificity, and positive and negative predictive value (PPV, NPV) were calculated and adjusted using sampling weights to correct for partial verification bias. RESULTS: Among 990 encounters (496 cases, 494 controls), hypoglycemia codes demonstrated moderate PPV (69.2%; 95% confidence interval: 65.0-73.0) and moderate sensitivity (83.9%; 95% confidence interval: 70.0-95.5). Codes performed better at identifying hypoglycemic events among emergency department/observation encounters compared with hospitalizations (PPV 92.9%, sensitivity 100.0% vs. PPV 53.7%, sensitivity 71.0%). Accuracy varied by diagnosis position, especially for hospitalizations, with PPV of 95.6% versus 46.5% with hypoglycemia in primary versus secondary positions. Use of adverse event/poisoning codes did not improve accuracy; reliance on these codes alone would have missed 97% of true hypoglycemic events. CONCLUSIONS: Accuracy of International Classification of Diseases, Tenth Revision codes in administrative claims to identify medication-related hypoglycemia varied substantially by encounter type and diagnosis position. Consideration should be given to the trade-off between PPV and sensitivity when selecting codes, encounter types, and diagnosis positions to identify hypoglycemia.

Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study.

International Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD-10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. OBJECTIVE: Compare COVID-19 cohort manual-chart-review and ICD-10-based comorbidity data; characterize the accuracy of different methods of extracting ICD-10-code-based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. DESIGN: Retrospective cross-sectional study. MEASUREMENTS: ICD-10-based-data performance characteristics relative to manual-chart-review. RESULTS: Discharge billing diagnoses had a sensitivity of 0.82 (95% confidence interval [CI]: 0.79-0.85; comorbidity range: 0.35-0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69-0.76; range: 0.44-0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63-0.71; range: 0.47-0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54-0.63; range: 0.30-0.68)and past medical history table had a sensitivity of 0.48 (95% CI: 0.43-0.53; range: 0.30-0.56). CONCLUSIONS AND RELEVANCE: ICD-10-based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual-chart-review.

Complex PTSD: what is the clinical utility of the diagnosis?

Background: The diagnosis of complex posttraumatic stress disorder (CPTSD) was included in the 11th revised edition of the International Classification of Diseases (ICD-11). CPTSD shares trauma-specific symptoms with its sibling disorder PTSD but is additionally characterized by disturbances of the individual's self-organization (DSO). The clinical utility of the CPTSD diagnosis has yet to be thoroughly investigated. Objective: The current study aimed to examine the clinical utility of the CPTSD diagnosis, considering the upcoming implementation of ICD-11 in clinical practice. Method: International field studies, construct- and validity analyses leading up to the inclusion in ICD-11 are reviewed, and the diagnostic measures; International Trauma Questionnaire (ITQ) and International Trauma Interview (ITI) are presented. Also, the relationship between CPTSD and borderline personality disorder (BPD) is elaborated in an independent analysis, to clarify their differences in clinical relevance to treatment. Treatment implications for CPTSD are discussed with reference to existing guidelines and clinical needs. Results: The validation of ITQ and ITI contributes to the cementation of CPTSD in further clinical practice, providing qualified assessment of the construct, with intended informative value for both clinical communication and facilitation of treatment. CPTSD is found distinguishable from both PTSD and BPD in empirical studies, while the possibility of comorbid BPD/PTSD cases being better described as CPTSD is acknowledged. Practitioners need to employ well-established methods developed for PTSD, while considering additional DSO-symptoms in treatment of CPTSD. Conclusions: The inclusion of CPTSD in ICD-11 may potentially facilitate access to more tailored treatment interventions, as well as contribute to increased research focus on disorders specifically associated with stress. The clinical utility value of this additional diagnosis is expected to reveal itself further after ICD-11 is implemented in clinical practice in 2022 and onwards. Yet, CPTSD's diagnostic inclusion gives future optimism to assessing and treating complex posttraumatic stress symptoms.

Antecedentes: El diagnóstico del trastorno de estrés postraumático (TEPT-C) fue incluido en la 11va. edición revisada de la Clasificación Internacional de las Enfermedades (CIE-11). El TEPT-C comparte síntomas específicos del trauma con su trastorno primo el TEPT, pero es adicionalmente caracterizado por trastornos en la autoorganización del individuo (DSO en su sigla en inglés). La utilidad clínica del diagnóstico del TEPT-C no ha sido investigado comprehensivamente todavía.Objetivo: El presente estudio busca examinar la utilidad clínica del diagnóstico del TEPT-C, considerando la pronta implementación del CIE-11 en la práctica clínica.Método: Se revisaron los estudios de campo internacionales y los análisis de validez y constructo que llevaron a la inclusión del CIE-11, y se presentan las medidas diagnósticas, Cuestionario Internacional del Trauma (ITQ en su sigla en inglés) y la Entrevista Internacional del Trauma (ITI en su sigla en inglés). También, la relación entre TEPT-C y el trastorno de personalidad limítrofe (BPD en su sigla en inglés) se elaboró en un análisis independiente, para clarificar las diferencias de la relevancia clínica para el tratamiento. Las implicaciones del tratamiento del TEPT-C se discuten con referencia a las guías existentes y las necesidades clínicas.Resultados: La validación del ITQ y ITI contribuye a la consolidación del TEPT-C en la subsecuente práctica clínica, proporcionando una evaluación calificada del constructo, con el valour informativo intencionado para tanto la comunicación clínica como para la facilitación del tratamiento. Se encontró que el TEPT-C se distingue de tanto el TEPT como del BPD en los estudios empíricos, mientras que se reconoce la posibilidad de que la comorbilidad en los casos de BPD/TEPT sean mejor explicados como TEPT-C. Los profesionales necesitan emplear métodos bien establecidos desarrollados para el TEPT, mientras consideran los síntomas adicionales de DSO en el tratamiento del TEPT-C.Conclusiones: La inclusión del TEPT-C en el CIE-11 podría facilitar potencialmente el acceso a más intervenciones de tratamiento adaptado, así como también contribuir a aumentar el foco de investigación en los trastornos especialmente asociados con el estrés. Se espera que el valour de la utilidad clínica de este diagnóstico adicional sea revelado por sí mismo luego de que el CIE-11 sea implementado en la práctica clínica desde el 2022 en adelante. Aun así, la inclusión diagnóstica del TEPT-C proporciona un futuro optimista para evaluar y tratar los síntomas de estrés postraumático complejo.

IC-Behavior: An interdisciplinary taxonomy of behaviors.

Academic disciplines are often organized according to the behaviors they examine. While most research on a behavior tends to exist within one discipline, some behaviors are examined by multiple disciplines. Better understanding of behaviors and their relationships should enable knowledge transfer across disciplines and theories, thereby dramatically improving the behavioral knowledge base. We propose a taxonomy built on the World Health Organization's International Classification of Functioning, Disability, and Health (ICF), but design the taxonomy as a stand-alone extension rather than an improvement to ICF. Behaviors considered important enough to serve as the dependent variable in articles accepted for publication in top journals were extracted from nine different behavioral and social disciplines. A six-step development and validation process was employed, leading to the final taxonomy. A hierarchy of behaviors under the top banner of Engaging in activities/participating, reflective of ICF's D. hierarchy was constructed with eight immediate domains addressing behaviors ranging from learning, exercising, self-care, and substance use. The resulting International Classification of Behaviors (IC-Behavior), provides a behavior taxonomy targeted towards the interdisciplinary integration of nomological networks relevant to behavioral theories. While IC-Behavior has been labeled v.1.0 to communicate that it is by no means an endpoint, it has empirically shown to provide flexibility for the addition of new behaviors and is tested in the health domain.

Psychiatric disorders in individuals with neurofibromatosis 1 in Denmark: A nationwide register-based cohort study.

The aim of this study was to assess the risks of psychiatric disorders in a large cohort of 905 individuals with NF1 and 7614 population comparisons matched on sex and year of birth. The cohort was linked to the Danish Psychiatric Central Research Register to ascertain information on hospital contacts for psychiatric disorders based on the International Classification of Diseases version 8 and 10. The hazard ratio (HR) for a first psychiatric hospital contact was higher in girls (4.19, 95% confidence interval [CI] 1.81-9.69) and boys with NF1 (5.02, 95% CI 3.27-7.69) <7 years of age than in the population comparisons. Both sexes had increased HRs for developmental disorders, including attention deficit/hyperactivity disorders, autism spectrum disorders, and intellectual disabilities in childhood. Females with NF1 had also increased HRs for unipolar depression, other emotional and behavioral disorders, and severe stress reaction and adjustment disorders in early adulthood. The HRs for psychoses, schizophrenia, bipolar disorders, and substance abuse were similar in individuals with NF1 and the population comparisons. Finally, the cumulative incidence of a first hospital contact due to any psychiatric disorder by age 30 years was 35% (95% CI 29-41) in females and 28% (95% CI 19-37) in males with NF1. Thus, screening for psychiatric disorders may be important for early diagnosis and facilitation of appropriate and effective treatment in individuals with NF1.

Accuracy of the Geriatric Depression Scale (GDS)-4 and GDS-5 for the screening of depression among older adults: A systematic review and meta-analysis.

BACKGROUND: The Geriatric Depression Scale (GDS) is a widely used instrument to assess depression in older adults. The short GDS versions that have four (GDS-4) and five items (GDS-5) represent alternatives for depression screening in limited-resource settings. However, their accuracy remains uncertain. OBJECTIVE: To assess the accuracy of the GDS-4 and GDS-5 versions for depression screening in older adults. METHODS: Until May 2020, we systematically searched PubMed, PsycINFO, Scopus, and Google Scholar; for studies that have assessed the sensitivity and specificity of GDS-4 and GDS-5 for depression screening in older adults. We conducted meta-analyses of the sensitivity and specificity of those studies that used the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases-10 (ICD-10) as reference standard. Study quality was assessed with the QUADAS-2 tool. We performed bivariate random-effects meta-analyses to calculate the pooled sensitivity and specificity with their 95% confidence intervals (95% CI) at each reported common cut-off. For the overall meta-analyses, we evaluated each GDS-4 version or GDS-5 version separately by each cut-off, and for investigations of heterogeneity, we assessed altogether across similar GDS versions by each cut-off. Also, we assessed the certainty of evidence using the GRADE methodology. RESULTS: Twenty-three studies were included and meta-analyzed, assessing eleven different GDS versions. The number of participants included was 5048. When including all versions together, at a cut-off 2, GDS-4 had a pooled sensitivity of 0.77 (95% CI: 0.70-0.82) and a pooled specificity of 0.75 (0.68-0.81); while GDS-5 had a pooled sensitivity of 0.85 (0.80-0.90) and a pooled specificity of 0.75 (0.69-0.81). We found results for more than one GDS-4 version at cut-off points 1, 2, and 3; and for more than one GDS-5 version at cut-off points 1, 2, 3, and 4. Mostly, significant subgroup differences at different test thresholds across versions were found. The accuracy of the different GDS-4 and GDS-5 versions showed a high heterogeneity. There was high risk of bias in the index test domain. Also, the certainty of the evidence was low or very low for most of the GDS versions. CONCLUSIONS: We found several GDS-4 and GDS-5 versions that showed great heterogeneity in estimates of sensitivity and specificity, mostly with a low or very low certainty of the evidence. Altogether, our results indicate the need for more well-designed studies that compare different GDS versions.

Examining the reliability of ICD-10 discharge coding in Red Cross War Memorial Children's Hospital administrative database.

BACKGROUND: Discharge diagnostic data from hospital administrative databases are often used to inform decisions relating to a variety of vital applications. These may include the allocation of resources, quality-of-care assessments, clinical research and formulation of healthcare policy. Accurately coded and reliably captured patient discharge data are of paramount importance for any hospital and health system to function efficiently. OBJECTIVES: To retrospectively examine the reliability of the International Classification of Diseases version 10 (ICD-10) discharge coding in Red Cross War Memorial Children's Hospital (RCWMCH)'s administrative database for primary and secondary discharge diagnoses, and to formulate recommendations for improvement to the current system. METHODS: This study was a retrospective folder review of 450 patient admissions to the short-stay and general paediatric wards at RCWMCH between 1 August 2013 and 1 September 2014. The principal investigator (PI) completed ICD-10 discharge coding for each admission and compared it with the corresponding admission data captured for each patient in the Clinicom (Siemens Medical Solutions, Germany) health information system. Agreement comparison was done to 4- and 3-character ICD-10 code specificity. RESULTS: Of the initial 450 randomly selected folders, 396 (88%) were analysed during the folder review process. The median number of total diagnoses (primary diagnosis plus secondary diagnoses) coded by the PI folder review was 3, with a distribution of 1 - 10 (interquartile range (IQR) 2 - 4). The median number of total diagnoses coded in Clinicom was 1, with a distribution of 1 - 3 (IQR 1 - 1). Agreement of primary diagnosis coding to 4 characters was 26.3%, with slight improvement to 34.3% when assessed to 3 characters. Agreement of secondary diagnoses to 4 characters was 14.9%, and 27.7% when assessed to 3 characters. CONCLUSIONS: Reliability of administrative ICD-10 discharge data from RCWMCH is poor. Inadequacies regarding the employment of dedicated and/or adequately trained coding personnel may significantly contribute to the problem and should be addressed.

Identifying Medicare beneficiaries with dementia.

BACKGROUND/OBJECTIVES: No data exist regarding the validity of International Classification of Disease (ICD)-10 dementia diagnoses against a clinician-adjudicated reference standard within Medicare claims data. We examined the accuracy of claims-based diagnoses with respect to expert clinician adjudication using a novel database with individual-level linkages between electronic health record (EHR) and claims. DESIGN: In this retrospective observational study, two neurologists and two psychiatrists performed a standardized review of patients' medical records from January 2016 to December 2018 and adjudicated dementia status. We measured the accuracy of three claims-based definitions of dementia against the reference standard. SETTING: Mass-General-Brigham Healthcare (MGB), Massachusetts, USA. PARTICIPANTS: From an eligible population of 40,690 fee-for-service (FFS) Medicare beneficiaries, aged 65 years and older, within the MGB Accountable Care Organization (ACO), we generated a random sample of 1002 patients, stratified by the pretest likelihood of dementia using administrative surrogates. INTERVENTION: None. MEASUREMENTS: We evaluated the accuracy (area under receiver operating curve [AUROC]) and calibration (calibration-in-the-large [CITL] and calibration slope) of three ICD-10 claims-based definitions of dementia against clinician-adjudicated standards. We applied inverse probability weighting to reconstruct the eligible population and reported the mean and 95% confidence interval (95% CI) for all performance characteristics, using 10-fold cross-validation (CV). RESULTS: Beneficiaries had an average age of 75.3 years and were predominately female (59%) and non-Hispanic whites (93%). The adjudicated prevalence of dementia in the eligible population was 7%. The best-performing definition demonstrated excellent accuracy (CV-AUC 0.94; 95% CI 0.92-0.96) and was well-calibrated to the reference standard of clinician-adjudicated dementia (CV-CITL <0.001, CV-slope 0.97). CONCLUSION: This study is the first to validate ICD-10 diagnostic codes against a robust and replicable approach to dementia ascertainment, using a real-world clinical reference standard. The best performing definition includes diagnostic codes with strong face validity and outperforms an updated version of a previously validated ICD-9 definition of dementia.

DSM-5 pathological personality domains as vulnerability factors in predicting COVID-19-related anxiety symptoms.

Since the beginning of the coronavirus disease-2019 (COVID-19) outbreak, individuals worldwide have shown different anxiety-related reactions. Several vulnerability factors may play a role in individuals' psychological reactions to the COVID-19 pandemic. Such factors include pathological personality traits which have been shown to contribute to the development of anxiety-related conditions. Consequently, the present study investigated the relationships between DSM-5 pathological personality domains and COVID-19-related anxiety symptoms. Using an online data portal, the relationships between DSM-5 pathological personality domains and COVID-19-related anxiety symptoms among a mixed university student and community sample (N = 612) were studied. The results showed that there was a positive and significant relationship between all DSM-5 pathological personality domains and COVID-19-related anxiety. The results of multiple linear regression analysis showed that DSM-5 pathological personality domains explained 21% of COVID-19-related anxiety variance. Based on standardized coefficients, the Personality Inventory for DSM-5 (PID-5) negative affect domain had the main role in COVID-19-related anxiety. The findings suggest that pathological personality domains can be predictors in the symptoms of anxiety in a viral outbreak. The novel findings add to the literature on individual differences in domains of personality in response to pandemic situations. Implications for future clinical applications and research investigations are discussed.

The Challenges of Using ICD codes to Perform a Comparative Analysis between Patients with Penetrating Cardiac Injuries who Underwent Non-Resuscitative Thoracotomy versus Sternotomy.

Background: Comparative morbidity after either sternotomy or non-resuscitative thoracotomy in penetrating cardiac injuries (PCI) is unknown. Methods: Retrospective review of adults with PCI who underwent either sternotomy or non-resuscitative thoracotomy using the National Trauma Data Bank 2007-2015. Since there is no unique International Classification of Diseases Procedure Coding System (ICD-PCS) codes assigned for resuscitative vs. non-resuscitative thoracotomy, and both procedures were coded as "thoracotomy", propensity score (PS) methods were applied to avoid inclusion of resuscitative thoracotomy. Results: Despite well PS matching on injury severity score the non-thoracotomy group compared to the sternotomy group had a significantly increased risk of mortality (30 percent vs 8 percent, p<0.0001). The morbidity differed as well-25 percent vs. 12 percent, p=0.0007. Conclusions: The differences in mortality in PCI patients who underwent non-resuscitative thoracotomy vs. sternotomy may be biased by unintentional inclusion of resuscitative thoracotomy. To accurately capture thoracotomy type, separate unique resuscitative and non-resuscitative thoracotomy procedure codes should be created in future revisions of the ICD PCS.

The accuracy of administrative health data for identifying patients with rheumatoid arthritis: a retrospective validation study using medical records in Western Australia.

The use of administrative health datasets is increasingly important for research on disease trends and outcome. The Western Australian (WA) Rheumatic Disease Epidemiological Registry contains longitudinal health data for over 10,000 patients with rheumatoid arthritis (RA). Accurate coding for RA is essential to the validity of this dataset. Investigate the diagnostic accuracy of International Classification of Diseases (ICD)-based discharge codes for RA at WA's largest tertiary hospital. Medical records for a sample of randomly selected patients with ICD-10 codes (M05.00-M06.99) in the hospital discharge database between 2008 and 2020 were retrospectively reviewed. Rheumatologist-reported diagnoses and ACR/EULAR classification criteria were used as reference standards to determine accuracy measures. Medical chart review was completed for 87 patients (mean (± SD) age 64.7 ± 17.2 years), 67.8% female). A total of 80 (91.9%) patients had specialist confirmed RA diagnosis, while seven patients (8%) had alternate clinical diagnoses. Among 87 patients, 69 patients (79.3%) were fulfilled ACR/EULAR classification criteria. The agreement between the reference standards was moderate (Kappa 0.41). Based on rheumatologist-reported diagnoses and ACR/EULAR classification criteria, primary diagnostic codes for RA alone had a sensitivity of (90% vs 89.8%), and PPV (90.9% vs 63.6%), respectively. A combination of a diagnostic RA code with biologic infusion codes in two or more codes increased the PPV to 97.9%. Hospital discharge diagnostic codes in WA identify RA patients with a high degree of accuracy. Combining a primary diagnostic code for RA with biological infusion codes can further increase the PPV.

Comparative assessment of manual chart review and ICD claims data in evaluating immunotherapy-related adverse events.

BACKGROUND: The aim of this retrospective study was to demonstrate that irAEs, specifically gastrointestinal and pulmonary, examined through International Classification of Disease (ICD) data leads to underrepresentation of true irAEs and overrepresentation of false irAEs, thereby concluding that ICD claims data are a poor approach to electronic health record (EHR) data mining for irAEs in immunotherapy clinical research. METHODS: This retrospective analysis was conducted in 1,063 cancer patients who received ICIs between 2011 and 2017. We identified irAEs by manual review of medical records to determine the incidence of each of our endpoints, namely colitis, hepatitis, pneumonitis, other irAE, or no irAE. We then performed a secondary analysis utilizing ICD claims data alone using a broad range of symptom and disease-specific ICD codes representative of irAEs. RESULTS: 16% (n = 174/1,063) of the total study population was initially found to have either pneumonitis 3% (n = 37), colitis 7% (n = 81) or hepatitis 5% (n = 56) on manual review. Of these patients, 46% (n = 80/174) did not have ICD code evidence in the EHR reflecting their irAE. Of the total patients not found to have any irAEs during manual review, 61% (n = 459/748) of patients had ICD codes suggestive of possible irAE, yet were not identified as having an irAE during manual review. DISCUSSION: Examining gastrointestinal and pulmonary irAEs through the International Classification of Disease (ICD) data leads to underrepresentation of true irAEs and overrepresentation of false irAEs.

Incidence and prevalence of systemic lupus erythematosus among Korean women in childbearing years: A nationwide population-based study.

BACKGROUND: Most women with systemic lupus erythematosus (SLE) are diagnosed with the disease in their reproductive years, but the incidence and prevalence of SLE among women of childbearing age have not been studied. The objective of this study was to estimate the incidence and prevalence of SLE among the Korean women of childbearing age. METHODS: Women aged 20 to 44 years with SLE were identified from National Health Insurance Service - National Health Information Database (2009-2016), which contain health information of approximately 97% of the Korean population. SLE was defined by International Classification of Diseases, 10th revision code, M32. Incidence and prevalence were calculated per 100,000 person-years and stratified by year and age. RESULTS: A total of 12,756 women with SLE were identified. The incidence of SLE from 2011 to 2016 among women in childbearing years was 8.18/100,000 person-years (95% CI 7.94-8.43), with the highest incidence in 2016 (8.56/100,000 person-years, 95% CI 7.95-9.17) and the lowest incidence in 2012 (7.85/100,000 person-years, 95% CI 7.28-8.42). The prevalence of SLE from 2009 to 2016 among women in childbearing years was 77.07/100,000 person-years (95% CI 75.76-78.39), with the highest prevalence in 2014 (79.47/100,000 person-years, 95% CI 77.64-81.30) and the lowest in 2010 (74.19/100,000 person-years, 95% CI 72.45-75.93). The peak age for SLE incidence was between 25-39 years, and lower incidence was seen in the early (20-24 years) and late (40-44 years) childbearing age periods. There was an increasing trend in prevalence according to age in women of childbearing age, with the highest prevalence occurring in the 40-44 age group. CONCLUSIONS: The risk and burden of SLE are high among women during their childbearing years. This calls for special attention to this particular population group when allocating health resources.

Development and validation of lupus nephritis case definitions using United States veterans affairs electronic health records.

OBJECTIVE: International Classification of Diseases (ICD) codes are commonly used to identify patients with rare diseases in electronic health records (EHRs). However, misclassification is common, impacting the validity of study results. In this study, we compared the accuracies of several ICD-based case definitions of lupus nephritis (LN) in identifying United States veterans with LN. METHODS: Using the Department of Veterans Affairs (VA) EHR, we identified all veterans with ≥1 ICD-9 or 10 diagnostic codes for systemic lupus erythematosus (SLE) between October 1, 1999 and September 30, 2017. A cohort was randomly selected for diagnostic validation and 9 ICD-based LN case definitions were applied to this cohort. The diagnostic accuracy of each definition was assessed against gold standard criterion of biopsy-proven LN. RESULTS: 18,420 veterans had ≥1 ICD-9 or 10 diagnostic codes for SLE; 981 were randomly selected for diagnostic validation. 95 veterans (9.7%) had biopsy-proven LN. The case definitions had high specificity and NPV but variable sensitivity and PPV. The definition containing ≥2 ICD -9 codes for SLE and ≥2 nephritis indicators had the highest combination of sensitivity and specificity (87.4% and 94.6% respectively). ICD-10 code for LN had high specificity (99.8%) and PPV (93.9%). CONCLUSION: ICD-based case definitions of LN in the VA population have high specificity and NPV but variable sensitivity and PPV. Our results may help guide the design of future LN studies in VA cohorts. The choice of specific case definitions depends on the relative importance of different accuracy measures to individual studies.

Validity of Hospital Codes for Obesity in Ontario, Canada.

BACKGROUND: Obesity has a significant impact on population health and health care. Administrative databases may be a useful tool to study obesity at a population level. In this work, we aimed to determine the validity of hospital codes for obesity in Ontario, Canada. METHODS: Using linked health-care databases (ICES), we conducted a validation study in adults ≥18 years of age who had their height and weight recorded during a hospitalization in southwestern Ontario. We considered a body mass index ≥30 kg/m2 as our gold standard definition for obesity. We then examined the validity of 2 International Classification of Diseases---10th revision (ICD-10) coding algorithms for obesity (Algorithm 1, ICD-10 E66.X; and Algorithm 2, ICD-10 E65.X-68.X). As additional analyses, we examined the validity of algorithms in different obesity classes (i.e. obese classes 1, 2 and 3), and in patients with diagnosed diabetes and hypertension. RESULTS: There were 34,588 patients included in our study (mean age, 62 years; 47% female). Algorithm 1 performed best, with a sensitivity, specificity, positive predictive value and negative predictive value of 8.8%, 99.8%, 95.4% and 65.1%, respectively. The sensitivity of this algorithm was highest in patients with obesity class 3 (27.4%) and in those with diagnosed diabetes. CONCLUSIONS: Hospital codes for obesity have a high positive predictive value and specificity. These codes can be used to build and study cohorts of patients with obesity in administrative database studies. However, given their limited sensitivity, administrative codes provide inaccurate incidence and prevalence estimates.