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BACKGROUND: The New York State Birth Defects Registry (BDR) has passive and active components. As part of statewide passive ascertainment, the BDR receives reports of International Classification of Diseases, Tenth Revision (ICD-10) codes and descriptive narratives on a wide range of birth defects. The BDR conducts enhanced active surveillance for selected birth defects in 14 counties, which includes medical record abstraction and clinician review. We sought to quantify agreement between the two surveillance approaches. METHODS: The analysis included live-born infants born with one of the 16 birth defects in 2018-2021 in the active surveillance counties (n = 1069 infants). We calculated positive predictive values (PPV) and 95% confidence intervals for each defect, defined as the percentage of cases confirmed in active surveillance among those in passive surveillance. Additionally, we calculated the percentage with each birth defect missed by passive surveillance. RESULTS: The PPV varied greatly by birth defect. The PPV was >90% for gastroschisis and cleft lip, but <70% for spina bifida, diaphragmatic hernia, truncus arteriosus, tricuspid atresia, hypoplastic left heart syndrome, coarctation of the aorta, and pulmonary atresia. The percentage missed by passive surveillance ranged from 2% for tetralogy of Fallot to 39% for tricuspid atresia. CONCLUSIONS: Active surveillance is an important strategy for ruling out false positive case reports for certain birth defects that we assessed, but not all of them. Passive surveillance programs can use our findings to develop targeted strategies for improving data quality of specific birth defects using active surveillance methods, thus optimizing limited resources.

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Importance: Lack of a US dementia surveillance system hinders efforts to support and address disparities among persons living with Alzheimer disease and related dementias (ADRD). Objective: To review diagnosis and prescription drug code ADRD identification algorithms to develop and implement case definitions for national surveillance. Design, Setting, and Participants: In this cross-sectional study, a systematic literature review was conducted to identify unique International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and prescription drug codes used by researchers to identify ADRD in administrative records. Code frequency of use, characteristics of beneficiaries identified by codes, and expert and author consensus around code definitions informed code placement into categories indicating highly likely, likely, and possible ADRD. These definitions were applied cross-sectionally to 2017 to 2019 Medicare fee-for-service (FFS) claims and Medicare Advantage (MA) encounter data to classify January 2019 Medicare enrollees. Data analysis was conducted from September 2022 to March 2024. Exposures: ICD-10-CM and national drug codes in FFS claims or MA encounters. Main Outcomes and Measures: The primary outcome was counts and rates of beneficiaries meeting each case definition. Category-specific age, sex, race and ethnicity, MA enrollment, dual-eligibility, long-term care utilization, mortality, and rural residence distributions, as well as frailty scores and FFS monthly expenditures were also analyzed. Beneficiary characteristics were compared across categories, and age-standardized to minimize confounding by age. Results: Of the 60 000 869 beneficiaries included (50 853 806 aged 65 years or older [84.8%]; 32 567 891 female [54.3%]; 5 555 571 Hispanic [9.3%]; 6 318 194 non-Hispanic Black [10.5%]; 44 384 980 non-Hispanic White [74.0%]), there were 4 312 496 (7.2%) with highly likely ADRD, 1 124 080 (1.9%) with likely ADRD, and 2 572 176 (4.3%) with possible ADRD, totaling more than 8.0 million with diagnostic evidence of at least possible ADRD. These beneficiaries were older, more frail, more likely to be female, more likely to be dual-eligible, more likely to use long-term care, and more likely to die in 2019 compared with beneficiaries with no evidence of ADRD. These differences became larger when moving from the possible ADRD group to the highly likely ADRD group. Mean (SD) FFS monthly spending was $2966 ($4921) among beneficiaries with highly likely ADRD compared with $936 ($2952) for beneficiaries with no evidence of ADRD. Differences persisted after age standardization. Conclusions and Relevance: This cross-sectional study of 2019 Medicare beneficiaries identified more than 5.4 million Medicare beneficiaries with evidence of at least likely ADRD in 2019 using the diagnostic case definition. Pending validation against clinical and other methods of ascertainment, this approach can be adopted provisionally for national surveillance.

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As health systems transition to ICD-11, it is essential to gauge the readiness and improve existing transition efforts. Assessing the intention to use ICD-11 and factors influencing it is imperative to encourage the use of ICD-11 among the medical record officers (MROs) and assistant medical record officers (AMROs). This study aims to develop and validate a questionnaire on the factors influencing the intention to use ICD-11 among MROs and AMROs in the Ministry of Health, Malaysia. This study comprised a questionnaire development and validation involving 292 participants nationwide from Ministry of Health Malaysia facilities. The questionnaire was developed based on items adapted from the literature. Forward and backward English-Malay translation was done. Then, the questionnaire was examined for content validity, internal consistency reliability, construct validity, face validity, convergent validity, discriminant validity and confirmatory factor analyses. The final version of the questionnaire consists of eleven domains represented by 50 items. The content validity index and modified kappa were excellent for all domains. The Kaiser-Meyer-Olkin sampling adequacy value was appropriate, with a value of 0.790. The questionnaire also demonstrated good internal consistency reliability with Cronbach's alpha values between 0.850 and 0.992. Confirmatory factor analysis showed a reasonable fit for this eleven-factor model. In conclusion, this questionnaire provides a reliable tool for investigating the intention to use ICD-11 among MROs and AMROs. Positive findings from the psychometric properties support the validity of the questionnaire. This instrument can potentially support personnel in charge of ICD codification, guide the ICD-11 transition at various levels and facilitate research on support dynamics among the MROs and AMROs.

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BACKGROUND: Diseases and conditions related to the respiratory system contribute to work-related morbidity, mortality, and disability. Details on the causes and nature of work-related respiratory disease and the specific industries in which they occur are limited. This study identifies respiratory-related claims in the Ohio Bureau of Workers' Compensation (OHBWC) system and describes claim and worker characteristics to inform public health surveillance. METHODS: We developed a list of respiratory-related International Classification of Diseases Clinical Modification (ICD-CM) diagnosis codes and searched over 2 million claims filed between 2001 and 2018 in the OHBWC system for at least one of these codes. The claim characteristics, rates of claims by employer industry classification, and causes of claims from narrative text were determined for these respiratory-related claims. RESULTS: Among the 23,015 respiratory-related claims (5.8 per 10,000 full-time equivalents [FTE]), 54.6% had at least one ICD-CM code for Allergic Reactions and 30.6% had at least one code for Toxic Effects of Substances Chiefly Non-medicinal as to Source. Claim causes from narrative text included Chemical Exposure (30.3%), Activity Suggesting Exposure (24.4%), and Vapors, Gases, Dusts, or Fumes (VGDF) Exposure (19.3%). The highest overall rates of respiratory-related claims among private employers were for the agriculture, forestry & fishing (11.4 per 10,000), public safety (ambulance services) (11.3), and manufacturing (10.7) industry sectors. CONCLUSIONS: Respiratory-related claims in the OHBWC system were often acute in nature and included allergic reactions. Narratives from these claims provide insight into the work-related exposures and events causing claims or the disease and symptom factors surrounding claims.

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BACKGROUND: .-Laryngeal malignancy, "voice box" cancer, is uncommon with 12,620 estimated new cases and 3770 deaths in the United States in 2021,1 and represents only 6.2% of all respiratory system malignancies. The most significant risk factors are alcohol and tobacco consumption. Almost all cases (98%) of laryngeal cancer arise in the squamous epithelium, and in this analysis more than 75% are of well-or-moderately differentiated histopathology (Grades I&II). Local stage cancer (SEER Historic Staging) was more common than regional and distant stages combined (55.3% vs 44.7%). Tumors may arise above, below or at the level of the vocal folds and are described as supraglottic (encompassing the epiglottis, false vocal cords, ventricles, aryepiglottic fold and arytenoids), the glottis (encompassing the true vocal cords and the anterior and posterior commissures), and the subglottic region. In the National Cancer Institute's Surveillance, Epidemiology, End-Results (NCI-SEER) Data Research, 9 Registries, Nov 2019 Sub (1975-2017),2 laryngeal cancer occurred more commonly in men than in women, 80.7% vs 19.3%, respectively with a 4.2 to 1 ratio. Additionally, there are racial disparities with African Americans presenting at a younger age and having a higher incidence and mortality than Caucasians. In the 1975-2017 period, overall median patient age was 64.4 years with White Americans-64.8 years and Black Americans-61.5 years. Unfortunately, the 5-year relative survival rate has declined 4%, and excess death rate has risen 13% since 1975 with overall incidence declining.As a consequence, observed median survival is approximately 6.5-years for the total study-period pinpointing the need for further specialty research. This study follows the World Health Organization International Classification of Diseases for Oncology-3rd Edition (ICD-O-3)3 topographical identification, coding, labeling and listing of 43,103 patient-cases accessible for analysis in the United States National Cancer Institute's Surveillance, Epidemiology and End Results program (NCI SEER Research Data, 9 Registries, 1975-2017). These are located in 6 primary anatomical sites: C32.0-Glottis, C32.1-Supraglottis, C32.2-Subglottis, C32.3-Laryngeal cartilage, C32.8-Overlapping lesion of larynx, C32.9-Larynx, NOS. OBJECTIVES: .-To update short- and long-term mortality and survival indices, and identify changing risk patterns for laryngeal cancer patients in a retrospective US population-based analysis, 1975-2017, using prognostic data stratified by ICD-O-3 Primary Site, age, sex, race, stage, histologic grade, two cohort entry time-periods (1975-1996 to 1997-2017), and disease duration to 20-years. METHODS: .-SEER*Stat v8.3.94 software (built March 12, 2021) was used to access SEER Research Data, 9 Registries, Nov. 2019 submission (1975-2017). For displaying risk, general methods and standard double decrement life table methodologies for converting and displaying ICD-O-3 coded laryngeal cancer primary site annual data to aggregate average annual mortality and survival units in durational-intervals of 0-1, 1-2, 2-5, 0-5, 5-10, 10-15, and 15-20 years were employed. The reader is referred to the "Registrar Staging Assistant (SEER*RSA)" for local-regional-distant Extent of Disease (EOD) sources used in the development of staging descriptions, and Summary Stage 2018 Coding Manual v2.0 released September 1, 2020. Cancer staging & grading procedural explanations, statistical significance and 95% confidence levels5 are described in previous Journal of Insurance Medicine articles6,7 and other publications.8,9 Poisson confidence intervals at the 95% level based on the number of observed deaths are used in this study but not displayed here to conserve space on the mortality tables. Excluded were all death certificate only and those alive with no survival time. RESULTS: .-Total SEER annual age-adjusted incidence rates from 1980 to 2017 have diminished from 5.25 patient-cases/100,000/year to 2.59/100,000 per year, and in the same period annual age-adjusted US death rates declined from 1.61 deaths/100.000/year to 0.91 deaths/100,000/year (Ref. 10, CSR Tables 12.5-6), However, in the 0-5-year disease durational interval for all staged cases in both cohort time-periods (Table 5), excess death rates (EDR) rose from 80 per 1000 persons per year in the 1975-96 cohort, to 89 per 1000 persons per year in the 1997-17 cohort, (a 10% rise in excess mortality in 42 years). Further, in the 5-10-year disease durational interval, EDR rose from 39 per 1000 persons per year to 45 per 1000 persons per year with corresponding cohort declines in cumulative survival ratios (SR), and overall declines in median observed and relative survival times in the later cohort (not shown). The epidemiologic burden of malignancy is >4-fold higher in males and increases in parallel with aging, peaking after 65 years. The most significant risk factors for laryngeal cancer are tobacco and alcohol consumption. CONCLUSION: .-Although annual incidence and mortality rates from 1980 to 2017 have diminished, there is no concomitant improvement in larynx cancer survival (SR) and mortality (EDR) indices, with rising mortality and diminishing survival in all staged cases at 5-years disease duration between the 1975-96 and 1997-2017 analytic cohorts. Larynx cancer remains a burdensome clinical, social, and public health challenge.

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BACKGROUND: The Pareto Principle asserts that a large portion of results can be achieved with a small amount of effort. Wakap et al. found that around 80% of individuals with rare diseases (RD) suffer from one of 149 specific rare diseases. A significant challenge in the RD domain is the lack of information, compounded by the fact that most RD are not specifically codifiable in the ICD-10, leading to a deficit in reliable epidemiological data. Additionally, time constraints in medical education hinder the comprehensive teaching of all RD, contributing to the diagnostic odyssey problem through failure of recognizing diseases. We identified the most and second most prevalent RD (prevalences of 1-5/10,000 and 1-9/100,000, respectively) from the Orphanet Epidemiology File, totaling 454 diseases. We investigated the feasibility of specific coding using ICD-10-GM and whether these diseases were explicitly listed in the subject catalog (GK) of the second state examination in human medicine in Germany. A two-sided chi-square test was employed to identify statistically significant differences between prevalence groups. RESULTS: Out of 454 diseases, a total of 34% could be specifically coded in ICD-10-GM, with 49% of diseases in the 1-5/10,000 prevalence range (153 RD) and 26% in the 1-9/100,000 range (301 RD) having specific codes. Approximately 15% of all investigated diseases were part of the GK, with 25% of the most prevalent and 10% of the second most prevalent RD group, respectively. Statistically significant differences were observed between prevalence groups concerning the presence of a specific ICD-10-GM code and inclusion in the GK. CONCLUSION: Only 49% of the most prevalent RD can be specifically coded, highlighting the challenge of limited epidemiological data on RD. In Germany, the Alpha-ID was introduced in addition to ICD-10 in the inpatient setting to obtain more valid epidemiological data on RD. Recognizing the Pareto Principle's applicability, the study emphasizes the importance of including the most common rare diseases in medical education. While recognizing the limitations, especially in covering ultra-rare diseases, the study underscores the potential benefits of enhancing medical curricula to improve rare disease awareness and diagnostic accuracy.

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BACKGROUND: Assigning International Classification of Diseases (ICD) codes to clinical texts is a common and crucial practice in patient classification, hospital management, and further statistics analysis. Current auto-coding methods mainly transfer this task to a multi-label classification problem. Such solutions are suffering from high-dimensional mapping space and excessive redundant information in long clinical texts. To alleviate such a situation, we introduce text summarization methods to the ICD coding regime and apply text matching to select ICD codes. METHOD: We focus on the tenth revision of the ICD (ICD-10) coding and design a novel summarization-based approach (SuM) with an end-to-end strategy to efficiently assign ICD-10 code to clinical texts. In this approach, a knowledge-guided pointer network is purposed to distill and summarize key information in clinical texts precisely. Then a matching model with matching-aggregation architecture follows to align the summary result with code, tuning the one-vs-all scenario to one-vs-one matching so that the large-label-space obstacle laid in classification approaches would be avoided. RESULT: The 12,788 ICD-10 coded discharge summaries from a Chinese hospital were collected to evaluate the proposed approach. Compared with existing methods, the purposed model achieves the greatest coding results with Micro AUC of 0.9548, MRR@10 of 0.7977, Precision@10 of 0.0944, and Recall@10 of 0.9439 for the TOP-50 Dataset. Results on the FULL-Dataset remain consistent. Also, the proposed knowledge encoder and applied end-to-end strategy are proven to facilitate the whole model to gain efficacy in selecting the most suitable code. CONCLUSION: The proposed automatic ICD-10 code assignment approach via text summarization can effectively capture critical messages in long clinical texts and improve the performance of ICD-10 coding of clinical texts.

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BACKGROUND: In Canada, one in seven adults has diabetes (i.e., 2.3 million) and the lifetime risk of developing diabetes is approximately 30% by age 65. Although 30% of patients admitted to the hospital have diabetes, data from inpatient hospitalizations for patients with diabetes are lacking, both in Canada and globally. OBJECTIVE: To validate International Classification of Diseases 10th edition Canadian version (ICD-10-CA) codes for the identification of patients with diabetes, to create a multicenter database of patients with diabetes hospitalized under internal medicine in Ontario, and to determine their baseline characteristics, medication use, and admission characteristics. STUDY DESIGN: We created a database of people who had diabetes and were hospitalized between 2010 and 2020 at 8 hospitals in Ontario that were part of the General Medicine Inpatient Initiative (GEMINI) hospital data-sharing network. Patients who had diabetes were identified using chart review, based upon either (i) a previous physician diagnosis of diabetes, (ii) a recorded hemoglobin A1c ≥ 6.5% or (iii) outpatient prescription of a diabetes medication preceding the hospitalization. The test characteristics of ICD-10-CA codes for diabetes were evaluated. We compared baseline demographics, medication use and hospitalization details among patients with and without diabetes. For hospitalization details, we collected information on the admission diagnosis, comorbidity index, length of stay, receipt of ICU-level care, and inpatient mortality. RESULTS: There were 384,588 admissions within the total study cohort, of which 118,987 (30.9%) had an ICD-10-CA diagnosis code of diabetes (E10.x, E11.x, E13.x, E14.x). The sensitivity and specificity of ICD-10-CA diagnostic codes was 95.9% and 98.8%, respectively. Most patients with an ICD-10-CA code for diabetes had a code for type 2 diabetes (93.9%) and a code for type 1 diabetes was rare (6.1%). The mean age was 66.4 years for patients without diabetes and 71.3 years for those with an ICD-10-CA diagnosis code for diabetes. Patients with diabetes had a higher prevalence of hypertension (64% vs. 37.9%), coronary artery disease (28.7% vs. 15.3%), heart failure (24.5% vs. 12.1%) and renal failure (33.8% vs. 17.3%) in comparison to those without diabetes. The most prevalent diabetes medications received in hospital were metformin (43%), DPP4 inhibitors (22.7%) and sulfonylureas (18.8%). The most common reason for admission among patients with diabetes was heart failure (9.0%), and among patients without diabetes was pneumonia (7.8%). Median length of stay was longer for patients with diabetes (5.5 vs. 4.5 days) and in-hospital mortality was similar between groups (6.8% with diabetes vs. 6.5% without diabetes). IMPORTANCE: Diabetes is one of the most prevalent chronic medical conditions, affecting roughly one third of all patients hospitalized on an internal medicine ward and is associated with other comorbidities and longer hospital stays. ICD-10-CA codes were highly accurate in identifying patients with diabetes. The development of an inpatient cohort will allow for further study of in-hospital practices and outcomes among patients with diabetes.

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This cohort study assesses the performance of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) Z59 codes for identifying housing instability during health care encounters.

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OBJECTIVE: To develop a systematics of chronic delusional psychoses in schizophrenia and pathology of the schizophrenic spectrum that takes into account psychopathological structure (the mechanism of delusional formation) and the trajectories of the disease course (the ratio of negative/positive dimensions). MATERIAL AND METHODS: The study sample was recruited from the large Moscow psychiatric hospital in 2019-2024 and included 126 patients (94 male, 32 female, mean age 36.5±12.1 years) hospitalized with ICD-10 diagnosis of paranoid schizophrenia (F20.00) or delusional disorder (F22). A clinical-psychopathological method was used. RESULTS: The study identifies three variants of paranoid domains, the typology of which takes into account both the psychopathological structure and the trajectories of their development, which determine the dominance of predominantly negative or positive symptoms throughout the disease: 1) psychosis with delusional interpretations and predominant orientation of symptoms towards the negative pole of the schizophrenia psychopathology (n=37, 29.4%); 2) psychosis with hallucinatory delusions and predominant direction of symptoms towards the positive pole of the schizophrenia psychopathology (n=50, 39.7%); and 3) «combined¼ hallucinatory-delusional psychosis with a simultaneous orientation of symptoms to the negative/positive poles of the schizophrenia psychopathology (n=39, 30.9%). Detailed phenomenological characteristics of each of the three presented variants are given. CONCLUSION: The developed three-component taxonomy confirms, on the model of chronic delusional psychoses appearing in schizophrenia and the pathology of the schizophrenia spectrum, the concept of simultaneous representation of two relatively independent domains determined by neurobiological processes in the schizophrenia psychopathology positive and negative disorders.

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OBJECTIVE: To create a new taxonomy of schizophrenia spectrum disorders (SSD) based on the comparability of the design of SSD and borderline states. MATERIAL AND METHODS: The total sample consists of 205 patients with an established diagnosis of SSD (F21; F25; F22 according to ICD-10) collected from studies of the department of borderline mental pathology and psychosomatic disorders of the Federal State Budgetary Institution Mental Health Research Center and the Department of Psychiatry and Psychosomatics of Moscow State Medical University in the period 2014 to 2024. Clinical, psychometric, statistical methods were used. RESULTS: A new two-level model of schizotypal personality disorder (STPD) has been developed: the first level is psychopathic-like disorders of the «Ferschroben¼ type; the second level are psychopathological disorders (positive, negative, etc.), appearing under their «mask¼, constituting a «tracing paper¼ of manifestations of schizophrenia «in miniature¼. The two-level psychopathological model of STPD is a complex clinical phenotype, including independent but overlapping phenotypic formations: psychopathic-like - the «Ferschroben¼ type; and basic - schizophreniform disorders. CONCLUSION: The clinical classification of schizophrenia spectrum disorders has been developed; pseudoneuroses and stress-induced disorders of the endogenous circle are considered in the aspect of the dynamics of STPD.

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Background: Prolonged Grief Disorder (PGD) has recently been included in both the ICD-11 and DSM-5-TR diagnostic manuals. Studying its prevalence and correlates across cultures is vital for more effective identification, treatment, and prevention.Objective: This study aimed to examine prevalence rates of ICD-11-based PGD, in a representative Slovakian sample in response to deaths of loved ones occurring during the previous year. Further aims were to examine the factor structure of PGD symptoms and correlates of summed PGD item scores and PGD 'caseness'.Method: Self-reported data on PGD, depression, anxiety, alcohol use, and descriptive characteristics were gathered from a representative sample of the Slovak population (N = 319).Results: Data were gathered from N = 1853 people; 319 participants (17.2%) reported a loss in the past year. The prevalence of probable PGD among these bereaved participants was 1.99% for recent losses (<6 months, n = 151) and 7.75% for more distant losses (6-12 months, n = 130). The most frequently endorsed symptoms included longing/yearning for the deceased, sadness, denial/unrealness, and difficulty accepting the death. PGD symptoms had a unitary factor structure which was consistent for subsamples bereaved 1-5 and 6-12 months. The severity of PGD varied with kinship. Depression and anxiety, but not alcohol misuse, were associated with PGD severity and PGD caseness.Conclusions: These findings underscore that a significant group of people develop PGD between 6-12 months following a loss. This emphasises the need for targeted psychological interventions.

Prolonged Grief Disorder (PGD) is newly included in ICD-11 and knowledge about its prevalence and correlates in the general population is urgently needed.In a representative Slovakian sample (N = 1853), 319 people (17.2%) reported a loss during the past year; 7.75% of people, bereaved 6­12 months earlier, met criteria for ICD-11-based PGD.PGD severity and caseness were associated with kinship (but less strongly with other sociodemographic and loss characteristics) and with depression and anxiety (but less strongly with problematic alcohol use).At 6­12 months following loss, PGD seems fairly common in the general population and timely identification and mitigation of PGD is an important public health issue.

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Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporates extreme multi-label classification tasks to enhance International Classification of Diseases (ICD) coding. The model utilizes deformable convolutional neural networks to fuse representations from hidden layer outputs of pre-trained language models and external medical knowledge embeddings fused using a multimodal approach to provide rich semantic encodings for each code. A probabilistic label tree is constructed based on the hierarchical structure existing in ICD labels to incorporate ontological relationships between ICD codes and enable structured output prediction. Experiments on medical code prediction on the MIMIC-III database demonstrate competitive performance, highlighting the benefits of this technique for robust clinical code assignment.

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PURPOSE: Sickle cell disease (SCD) affects all organ systems and is characterized by numerous acute and chronic complications and comorbidities. Standardized codes are needed for complications/comorbidities used in real-world evidence (RWE) studies that rely on administrative and medical coding. This systematic literature review was conducted to produce a comprehensive list of complications/comorbidities associated with SCD, along with their diagnosis codes used in RWE studies. METHODS: A search in MEDLINE and Embase identified studies published from 2016 to 2023. Studies were included if they were conducted in US SCD populations and reported complications/comorbidities and respective International Classification of Diseases, Clinical Modification (ICD-CM) codes. All identified complications/comorbidities and codes were reviewed by a certified medical coding expert and hematologist. RESULTS: Of 1851 identified studies, 39 studies were included. The most reported complications/comorbidities were stroke, acute chest syndrome, pulmonary embolism, venous thromboembolism, and vaso-occlusive crisis. Most of the studies used ICD-9-CM codes (n = 21), while some studies used ICD-10-CM codes (n = 3) or both (n = 15), depending on the study period. Most codes reported in literature were heterogeneous across complications/comorbidities. The medical coding expert and hematologist recommended modifications for several conditions. CONCLUSION: While many studies we identified did not report their codes and were excluded from this review, the studies with codes exhibited diverse coding definitions. By providing a standardized set of diagnosis codes that were reported by studies and reviewed by a coding expert and hematologist, our review can serve as a foundation for accurately identifying complications/comorbidities in future research, and may reduce heterogeneity, enhance transparency, and improve reproducibility. Future efforts focused on validating these code lists are needed.

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Cannabis use and cannabis use disorders have taken on a new social significance as a result of partial legalization. In 2021 a total of 4.5 million adults (8.8%) in Germany used the drug. The number of users as well as problematic use have risen in the last decade. Cannabis products with a high delta-9-tetrahydrocannabinol (THC) content and their regular use lead to changes in cannabinoid receptor distribution in the brain and to modifications in the structure and functionality of relevant neuronal networks. The consequences of cannabinoid use are particularly in the psychological functioning and can include intoxication, harmful use, dependence with withdrawal symptoms and cannabis-induced mental disorders. Changes in the diagnostics between ICD-10 and ICD-11 are presented. Interdisciplinary S3 guidelines on cannabis-related disorders are currently being developed and will be finalized shortly.

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Young children exposed to trauma are vulnerable to developing posttraumatic stress disorder (PTSD). Although experts agree on the importance of tailoring PTSD assessments to be developmentally-appropriate for young children, there is little research on which assessment methods best identify clinically significant symptomatology in this difficult-to-assess population. Two competing models for assessing PTSD have been proposed by the DSM-5 and ICD-11. This study compared a DSM-5 measure to an ICD-11 measure in young children (ages 1-6) exposed to a natural disaster. The measures identified similar rates of PTSD in children; however, diagnostic agreement between the measures was low (31-36%). Both PTSD measures were associated with actual and perceived life threat, functional impairment, and comorbid psychopathology. PTSD symptom and cluster endorsement rates were also binned by age and compared to functional impairment to identify commonly-reported and highly impairing symptoms in trauma-exposed young children, as potential candidates for inclusion in future revisions of diagnostic criteria. Across age ranges, increased clinginess post-trauma was the most commonly reported symptom and was associated with functional impairment. Arousal symptoms (startle, hypervigilance) and Re-experiencing symptoms (nightmares) also emerged as relevant for young children. Findings may contribute to efforts to improve assessment for PTSD in young children.

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OBJECTIVES: To compare the sensitivity of 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology (EULAR/ACR) classification criteria against 1997 ACR criteria for systemic lupus erythematosus (SLE), for incident SLE cases in the presumably complete population-based Nor-SLE cohort from Southeast Norway (2.9 million inhabitants). METHODS: All cases International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coded as SLE during 2000-2017 were individually reviewed. Those with a confirmed SLE diagnosis by expert clinical assessment were included in the Nor-SLE cohort. Core clinical data were recorded, and the cases were classified according to 2019 EULAR/ACR and 1997 ACR criteria. Juvenile SLE was defined as <16 years at diagnosis and adult SLE was defined as ≥16 years at diagnosis. RESULTS: We included 737 incident SLE cases (701 adults, 36 juveniles). At diagnosis, 2019 EULAR/ACR criteria were more sensitive than 1997 ACR criteria for adults (91.6% vs 77.3%; p<0.001), but not for juveniles (97.2% vs 88.9%). The 2019 EULAR/ACR counts at diagnosis differed by age group and ethnicity, being higher in young cases and those originating from Asia. From time of diagnosis to study end the fulfilment rate of 2019 EULAR/ACR criteria for the adult cohort increased from 92.5% and 86.5% to 94.6% and 91.0%, respectively, for females and males (mean disease duration of 7.5 years). CONCLUSION: Showing 92% criteria fulfilment already at time of SLE diagnosis by 2019 EULAR/ACR criteria versus 77% by 1997 ACR criteria, the results from this population-based study suggest that the 2019 EULAR/ACR criteria will achieve its goal of capturing more early-SLE cases for clinical trials.

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The article analyzes age dynamics of initial causes of death according to records in medical death certificates of population of older age groups. Materials and methods. The records of causes of death of 34.914 persons aged 60 years and older were used as primary source of information. The initial cause of death was determined according to the ICD-10 rules. The rate of registration by reason of death was calculated as intensive value per 100 deaths in concrete age and sex group. Each cause was coded according to the ICD-10 rules (revision 2014-2016). The belonging to group was determined by first character (letter) in four-digit code that corresponded to the Class. On the basis of analysis of structure of causes of death, the group A of causes that included five Classes of ICD-10, determined 81.4% of all deaths in population aged 60 years and older. Two Classes: "Diseases of the circulatory system" (Class IX) and "Neoplasms" (Class II) determine in all studied age groups more than a half of all deaths (from 55% to 71% of males and from 59% to 67% in females) and namely they determine mortality rate in older age groups. There are no gender differences in age characteristics of registration rate in these groups (p > 0.05), however age dynamics differ. In case of diseases of circulatory system initial cause of death is increase rate of registration at increasing of age. In case of neoplasms at increasing of age decrease of registration rate as initial cause of death is established. At that, rate of decline is higher than rate of increase that determines certain decrease of structural significance of combined contribution of these two groups of causes at increasing of age. The Group B of causes, including three Classes of ICD-10 "Respiratory diseases" (Class X), "Diseases of the digestive system" (Class XI) and "Diseases of the nervous system" (Class VI), determined in overall 11.9% of all deaths in population aged 60 years and older. The age dynamics of causes of death of population of older age groups exists for certain groups of causes and it should be considered in organizing medical care of population of older age groups.

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In the international classifications ICD-10-WHO and ICD-11-WHO, many sex-specific diseases have incomplete coding. It is possible to further enhance semantic interoperability using SNOMED CT additionally to ICD. Part of the analysis of semantic interoperability of diagnoses in the ICD are Sexual Dysfunctions, Postpartum Depression, Sexual Assault, Premenstrual Tension Syndrome and Premenstrual Dysphoric Disorder, Female Genital Mutilation and Cutting, Gender Incongruence and Disorders of Breast. Labeling biases have been identified in all diagnoses, either in SNOMED CT or ICD. For mental disorders associated with pregnancy, gender incongruence and sexual violence the use of the GPS of SNOMED CT can help enhance semantic interoperability additionally to ICD.

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The International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) is internationally used for coding diagnoses, with the ICD-10 German Modification (GM) being prescribed for morbidity coding in Germany. ICD-10-GM is subject to annual revisions. This can lead to backward compatibility issues leading to undesirable consequences for cross-version data analysis. A study of annual crosswalk-tables concerning 21 ICD-10-GM versions showed that the ratio of difficult transitions from an older to a newer version (0.89 %) and vice versa (0.48 %) is not particularly significant but should nevertheless not be neglected. In this paper we present two solutions (Neo4J database and FHIR ConceptMaps) for the automated handling of different ICD-10-GM versions.

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