The impact of reclassifying cancers of unspecified histology on international differences in survival for small cell and non-small cell lung cancer (ICBP SurvMark-2 project).

Survival from lung cancer remains low, yet is the most common cancer diagnosed worldwide. With survival contrasting between the main histological groupings, small-cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), it is important to assess the extent that geographical differences could be from varying proportions of cancers with unspecified histology across countries. Lung cancer cases diagnosed 2010-2014, followed until 31 December 2015 were provided by cancer registries from seven countries for the ICBP SURVMARK-2 project. Multiple imputation was used to reassign cases with unspecified histology into SCLC, NSCLC and other. One-year and three-year age-standardised net survival were estimated by histology, sex, age group and country. In all, 404 617 lung cancer cases were included, of which 47 533 (11.7%) and 262 040 (64.8%) were SCLC and NSCLC. The proportion of unspecified cases varied, from 11.2% (Denmark) to 29.0% (The United Kingdom). After imputation with unspecified histology, survival variations remained: 1-year SCLC survival ranged from 28.0% (New Zealand) to 35.6% (Australia) NSCLC survival from 39.4% (The United Kingdom) to 49.5% (Australia). The largest survival change after imputation was for 1-year NSCLC (4.9 percentage point decrease). Similar variations were observed for 3-year survival. The oldest age group had lowest survival and largest decline after imputation. International variations in SCLC and NSCLC survival are only partially attributable to differences in the distribution of unspecified histology. While it is important that registries and clinicians aim to improve completeness in classifying cancers, it is likely that other factors play a larger role, including underlying risk factors, stage, comorbidity and care management which warrants investigation.

Evaluating the association between American Association for the Surgery of Trauma emergency general surgery anatomic severity grades and clinical outcomes using national claims data.

BACKGROUND: Emergency general surgery (EGS) encompasses a heterogeneous population of acutely ill patients, and standardized methods for determining disease severity are essential for comparative effectiveness research and quality improvement initiatives. The American Association for the Surgery of Trauma (AAST) has developed a grading system for the anatomic severity of 16 EGS conditions; however, little is known regarding how well these AAST EGS grades can be approximated by diagnosis codes in administrative databases. METHODS: We identified adults admitted for 16 common EGS conditions in the 2012 to 2017q3 National Inpatient Sample. Disease severity strata were assigned using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis codes based on AAST EGS anatomic severity grades. We evaluated whether assigned EGS severity (multiple strata or dichotomized into less versus more complex) were associated with in-hospital mortality, complications, length of stay, discharge disposition, and costs. Analyses were adjusted for age, sex, comorbidities, hospital traits, geography, and year. RESULTS: We identified 10,886,822 EGS admissions. The number of anatomic severity strata derived from ICD-9/10-CM codes varied by EGS condition and by year. Four conditions mapped to four strata across all years. Two conditions mapped to four strata with ICD-9-CM codes but only two or three strata with ICD-10-CM codes. Others mapped to three or fewer strata. When dichotomized into less versus more complex disease, patients with more complex disease had worse outcomes across all 16 conditions. The addition of multiple strata beyond a binary measure of complex disease, however, showed inconsistent results. CONCLUSION: Classification of common EGS conditions according to anatomic severity is feasible with International Classification of Diseases codes. No condition mapped to five distinct severity grades, and the relationship between increasing grade and outcomes was not consistent across conditions. However, a standardized measure of severity, even if just dichotomized into less versus more complex, can inform ongoing efforts aimed at optimizing outcomes for EGS patients across the nation. LEVEL OF EVIDENCE: Prognostic, level III.

Lista de anomalias congênitas prioritárias para vigilância no âmbito do Sistema de Informações sobre Nascidos Vivos do Brasil / Lista de anomalías congénitas prioritarias para la vigilancia bajo el Sistema de Información sobre Nacidos Vivos en Brasil / List of priority congenital anomalies for surveillance under the Brazilian Live Birth Information System

Objetivo: Definir a lista de anomalias congênitas prioritárias para o aprimoramento do registro no Sistema de Informações sobre Nascidos Vivos (Sinasc). Métodos: A partir da Décima Revisão da Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde (CID-10), protocolos internacionais e reuniões com especialistas, a lista de anomalias prioritárias foi construída considerando-se dois critérios principais: ser diagnosticável ao nascimento; e possuir intervenção disponível em diferentes níveis. A lista foi submetida a apreciação da Sociedade Brasileira de Genética Médica e Genômica. Resultados: Compuseram a lista oito grupos de anomalias congênitas distribuídos de acordo com o tipo de anomalia relacionada, bem como a parte do corpo afetada e sua correspondência ao código do capítulo XVII da CID-10. Conclusão: A lista de anomalias congênitas prioritárias para notificação fornece subsídios para o aprimoramento do registro no Sinasc.

Objetivo: Definir la lista de anomalías congénitas prioritarias para perfeccionar el registro en el Sistema de Información de Nacidos Vivos (Sinasc). Métodos: Con base en la Clasificación Internacional de Enfermedades, Décima Revisión (CIE-10), protocolos internacionales y reuniones con especialistas, la lista de anomalías prioritarias se construyó considerando dos criterios principales: ser diagnosticables al nacer y tener intervención disponible en diferentes niveles. La lista fue sometida a la consideración de la Sociedad Brasileña de Genética y Genómica Médica. Resultados: La lista comprendía ocho grupos de anomalías congénitas distribuidos según el tipo de anomalía relacionada, así como la parte del cuerpo afectada, todos ellos relacionados con algún código del capítulo XVII de la CIE-10. Conclusión: La lista de anomalías congénitas prioritarias para notificación proporciona subsidios para mejorar el registro en Sinasc.

Objective: To define the list of priority congenital anomalies for improving their recording on the Brazilian Live Birth Information System (Sinasc). Methods: Based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), international protocols and meetings with specialists, the list of priority anomalies was built considering two main criteria: being diagnosable at birth and having intervention available at different levels. The list was submitted for consideration by the Brazilian Medical Genetics and Genomics Society. Results: The list comprised eight groups of congenital anomalies distributed according to the type of related anomaly, as well as the affected part of the body and its corresponding code in ICD-10 Chapter XVII. Conclusion: The list of priority congenital anomalies for notification provides a basis for improving case recording on Sinasc.

A Proposed Revision of the International Classification of Diseases, 11th Revision, Chapter 26.

In 2019, the World Health Assembly approved the International Classification of Diseases, 11th Revision (ICD-11), which included a traditional medicine chapter. This means that traditional medicine (TM) is incorporated into the mainstream medicine of the world. For TM to contribute to human health, the role of ICD-11, chapter 26 (ICD-11-26), is important. Since the ICD-11-26 is "a union set of harmonized traditional medicine conditions of the Chinese, Japanese, and Korean classifications," it is advisable to supplement the essential patterns while maintaining the already adopted patterns. The ICD-11-26 was originated from the World Health Organization International Standard Terminologies on Traditional Medicine in the Western Pacific Region (WHO-IST), and the WHO-IST is the world's most authoritative TM standard terminology system with an emphasis on traditional and conventional expression. In addition, it includes patterns that are widely used in TM clinical practice and have representative prescriptions at the same time. Therefore, future revisions of ICD-11-26 should make WHO-IST the main reference. Based on this spirit, this proposed revision is a modification of ICD-11-26's structure, order, and expression (English translation) with more essential patterns.

IMP-ICDX: an injury mortality prediction based on ICD-10-CM codes.

Background: The International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) Injury Severity Score (ICISS) is a risk adjustment model when injuries are recorded using ICD-9-CM coding. The trauma mortality prediction model (TMPM-ICD9) provides better calibration and discrimination compared with ICISS and injury severity score (ISS). Though TMPM-ICD9 is statistically rigorous, it is not precise enough mathematically and has the tendency to overestimate injury severity. The purpose of this study is to develop a new ICD-10-CM injury model which estimates injury severities for every injury in the ICD-10-CM lexicon by a combination of rigorous statistical probit models and mathematical properties and improves the prediction accuracy. Methods: We developed an injury mortality prediction (IMP-ICDX) using data of 794,098 patients admitted to 738 hospitals in the National Trauma Data Bank from 2015 to 2016. Empiric measures of severity for each of the trauma ICD-10-CM codes were estimated using a weighted median death probability (WMDP) measurement and then used as the basis for IMP-ICDX. ISS (version 2005) and the single worst injury (SWI) model were re-estimated. The performance of each of these models was compared by using the area under the receiver operating characteristic (AUC), the Hosmer-Lemeshow (HL) statistic, and the Akaike information criterion statistic. Results: IMP-ICDX exhibits significantly better discrimination (AUCIMP-ICDX, 0.893, and 95% confidence interval (CI), 0.887 to 0.898; AUCISS, 0.853, and 95% CI, 0.846 to 0.860; and AUCSWI, 0.886, and 95% CI, 0.881 to 0.892) and calibration (HLIMP-ICDX, 68, and 95% CI, 36 to 98; HLISS, 252, and 95% CI, 191 to 310; and HLSWI, 92, and 95% CI, 53 to 128) compared with ISS and SWI. All models were improved after the extension of age, gender, and injury mechanism, but the augmented IMP-ICDX still dominated ISS and SWI by every performance. Conclusions: The IMP-ICDX has a better discrimination and calibration compared to ISS. Therefore, we believe that IMP-ICDX could be a new viable trauma research assessment method.

The 2016 World Health Organization classification of tumours of the central nervous system.

The 2016 WHO classification of tumours of the central nervous system represents the new paradigm among the specialists in the brain tumours and proposes a new approach combining histopathological and molecular features into diagnosis named 'integrated diagnosis'. The aim of this challenge is to overstep the interobserver variability of diagnosis based on previous classifications in order to ensure homogenous biological entities with a more accurate clinical significance. Over the last two decades, several molecular aberrations into gliomagenesis were highlighted and then confirmed as emerging biomarkers through prognostic stratification. In particular, IDH1/IDH2 genes mutations, 1p/19q codeletion and mutations in genes encoding histone H3 variants drastically changed the knowledge about diffuse gliomas inducing the WHO working group to consider the phenotype-genotype approach. In the present review, the historical development of the diagnosis of brain tumours from the 3D spatial configuration to the integration of multidisciplinary data up to recent molecular alterations is discussed. At the national level, the RENOCLIP network (supported by the National Cancer Institute) contributes to improve the standardization of histological diagnosis and the facilitation of access to molecular biology platforms for the detection of genetic aberrations necessary for integrated diagnosis. Importantly, the French POLA cohort allowed to test the clinical impact of the new criteria introduced by 2016 WHO classification of CNS tumours confirming the high accuracy in predicting clinical behaviour for diffuse gliomas.

Odontoma compuesto: revisión de la literatura y reporte de un caso con 40 dentículos / Compound odontoma: a review of the literature and report of a case involving 40 denticles

El odontoma compuesto es un tumor benigno odontogénico conformadopor varios dentículos o dientes rudimentarios los cuales se encuentran conformados de tejido dental organizado. Su etiología no está biendefi nida pero se atribuye a traumatismos durante la primera dentición, así como a procesos infl amatorios o infecciosos, anomalías hereditarias o alteraciones en el gen de control del desarrollo dentario. Su presencia se encuentra entre los tres tumores odontogénicos más frecuentes, en diferente orden según el autor que se consulte. Está relacionado por logeneral con una alteración en la erupción o malposición dental. Tiene predilección en hueso maxilar, frecuentemente asintomáticos, se caracterizan por un crecimiento lento, diagnosticándose de forma casualmediante exámenes radiográfi cos de rutina entre la segunda y terceradécada de la vida. En este estudio se presenta el caso de un pacientefemenino de 14 años de edad, con presencia de un odontoma compuestode 40 dentículos, en la región parasinfi siaria izquierda, tratado medianteenucleación, y colocación de injerto óseo.

The compound odontoma is a benign odontogenic tumor composed ofseveral denticles or rudimentary teeth made up of organized dentaltissue. Its etiology is not well defi ned but is attributed to trauma duringthe fi rst dentition, as well as to infl ammatory or infectious processes, inherited abnormalities, odontoblastic hyperactivity or alterations in the gene that controls tooth development. It is among the 3 mostcommon odontogenic tumors, though its ranking among these varies depending on the author consulted. It is usually associated with analteration in the eruption or malposition of teeth. It has a predilection for the maxillary bone, and is often slow-growing and asymptomatic. Odontomas are diagnosed incidentally during routine X-ray examinations of patients between the second and third decades of life. In this study, we present the case of a 14-year-old female patient with the presence of a compound odontoma comprised of 40 denticles inthe left parasymphyseal region, which is treated by enucleation andbone graft placement.

The Validity of Discharge Billing Codes Reflecting Severe Maternal Morbidity.

BACKGROUND: Discharge diagnoses are used to track national trends and patterns of maternal morbidity. There are few data regarding the validity of the International Classification of Diseases (ICD) codes used for this purpose. The goal of our study was to try to better understand the validity of administrative data being used to monitor and assess trends in morbidity. METHODS: Hospital stay billing records were queried to identify all delivery admissions at the Massachusetts General Hospital for the time period 2001 to 2011 and the University of Michigan Health System for the time period 2005 to 2011. From this, we identified patients with ICD-9-Clinical Modification (CM) diagnosis and procedure codes indicative of severe maternal morbidity. Each patient was classified with 1 of 18 different medical/obstetric categories (conditions or procedures) based on the ICD-9-CM code that was recorded. Within each category, 20 patients from each institution were selected at random, and the corresponding medical charts were reviewed to determine whether the ICD-9-CM code was assigned correctly. The percentage of correct codes for each of 18 preselected clinical categories was calculated yielding a positive predictive value (PPV) and 99% confidence interval (CI). RESULTS: The overall number of correctly assigned ICD-9-CM codes, or PPV, was 218 of 255 (86%; CI, 79%-90%) and 154 of 188 (82%; CI, 74%-88%) at Massachusetts General Hospital and University of Michigan Health System, respectively (combined PPV, 372/443 [84%; CI, 79-88%]). Codes within 4 categories (Hysterectomy, Pulmonary edema, Disorders of fluid, electrolyte and acid-base balance, and Sepsis) had a 99% lower confidence limit ≥75%. Codes within 8 additional categories demonstrated a 99% lower confidence limit between 74% and 50% (Acute respiratory distress, Ventilation, Other complications of obstetric surgery, Disorders of coagulation, Cardiomonitoring, Acute renal failure, Thromboembolism, and Shock). Codes within 6 clinical categories demonstrated a 99% lower confidence limit <50% (Puerperal cerebrovascular disorders, Conversion of cardiac rhythm, Acute heart failure [includes arrest and fibrillation], Eclampsia, Neurotrauma, and Severe anesthesia complications). CONCLUSIONS: ICD-9-CM codes capturing severe maternal morbidity during delivery hospitalization demonstrate a range of PPVs. The PPV was high when objective supportive evidence, such as laboratory values or procedure documentation supported the ICD-9-CM code. The PPV was low when greater judgment, interpretation, and synthesis of the clinical data (signs and symptoms) was required to support a code, such as with the category Severe anesthesia complications. As a result, these codes should be used for administrative research with more caution compared with codes primarily defined by objective data.

Increased Risk of Cerebrovascular Disease Among Patients With Neurofibromatosis Type 1: Population-Based Approach.

BACKGROUND AND PURPOSE: Although neurofibromatosis type 1 (NF1) may be associated with an incompletely understood vasculopathy, relative odds of stroke in this population is not known. METHODS: Using the 1998 to 2009 US Nationwide Inpatient Sample, we performed a case-control study matching cases of NF1 to controls without such a diagnosis. We then compared the odds of stroke between the 2 groups. We used multivariable logistic regression to adjust for known or suspected confounders. RESULTS: NF1 was associated with younger mean age at the time of stroke (41 versus 48) and a lower prevalence of stroke risk factors among adult patients. Pediatric patients with NF1, however, were more likely to have hypertension. Patients with NF1 were significantly more likely to be diagnosed with any stroke (odds ratio, 1.2; P<0.0001) than the general population. The odds of intracerebral hemorrhage were greatest among hemorrhagic stroke types analyzed (odds ratio, 1.9; P<0.0001). In the pediatric NF1 population, the odds of intracerebral hemorrhage were more dramatically elevated (odds ratio, 8.1; P<0.0001). The odds of ischemic stroke were also increased with NF1 in the pediatric (odds ratio, 3.4; P<0.0001) but not in the adult population. CONCLUSIONS: When compared with the general population, the odds of any type of stroke are significantly increased for patients with NF1, both adult and pediatric. This risk is most notable for hemorrhagic strokes although it is also increased for ischemic strokes in children. Physicians should be aware of the increased risk of stroke in this population, and consider stroke as a potential cause of new neurological symptoms.

The ICD-10 system: a gift that keeps on taking.

The Protecting Access to Medicare Act of 2014 was signed into law on April Fool's Day. Indeed, 2014 saw unprecedented enthusiasm for the possibility of a permanent solution to the sustainable growth rate formula. Congress failed to come together on methods to pay for that fix. Instead, Congress provided another temporary patch on April 1. As part of that law, International Classification of Diseases-10 (ICD-10) adoption was pushed back by at least 1 year until, at the earliest, October 1, 2015. While many physicians support the delay in ICD-10 implementation, there are those that disagree.

Hypochondriasis: considerations for ICD-11

The World Health Organization (WHO) is currently revisiting the ICD. In the 10th version of the ICD, approved in 1990, hypochondriacal symptoms are described in the context of both the primary condition hypochondriacal disorder and as secondary symptoms within a range of other mental disorders. Expansion of the research base since 1990 makes a critical evaluation and revision of both the definition and classification of hypochondriacal disorder timely. This article addresses the considerations reviewed by members of the WHO ICD-11 Working Group on the Classification of Obsessive-Compulsive and Related Disorders in their proposal for the description and classification of hypochondriasis. The proposed revision emphasizes the phenomenological overlap with both anxiety disorders (e.g., fear, hypervigilance to bodily symptoms, and avoidance) and obsessive-compulsive and related disorders (e.g., preoccupation and repetitive behaviors) and the distinction from the somatoform disorders (presence of somatic symptom is not a critical characteristic). This revision aims to improve clinical utility by enabling better recognition and treatment of patients with hypochondriasis within the broad range of global health care settings.