A Systematic Review of the Assessment of ICD-11 Complex Post-Traumatic Stress Disorder (CPTSD) in Young People and Adults.

Complex post-traumatic stress disorder (CPTSD) was introduced in the International Classification of Diseases (ICD) 11 in 2013 to simplify diagnosis and increase clinical utility. Given the recent ICD-11 conceptualisation, there is no standard approach for its assessment, and a review of research is necessary. This systematic review focuses on ICD-11 CPTSD assessment in young people aged 7 to 17 and adults aged 18 and above, examining measures, differentiating features and clinical considerations. Data from five databases are reviewed using a narrative synthesis approach and the quality of evidence is assessed and discussed. A total of 36 studies involving 5901 participants recruited from clinical settings and 1458 professionals with CPTSD assessment experience were included. Studies predominantly focused on adults, and the most used measure for assessment was the International Trauma Questionnaire. Papers focusing on differentiating features highlighted increased symptom severity, impairment and difficulties in individuals with CPTSD, compared to those with PTSD across various characteristics in both young people and adults. This review also identified the importance of a sensitive clinical approach with adaptations based on culture and age. Although gold-standard recommendations cannot be made, this paper offers tentative clinical practice recommendations and considerations regarding ICD-11 CPTSD assessment.

[Primary chronic pain : the lack of recognition for an invisible handicap]. / Douleur chronique primaire : le manque de reconnaissance d'un handicap invisible.

Despite chronic primary pain being recognized as a disease in the 11th revision of the International Classification of Diseases (ICD-11), individuals suffering from it are still too frequently met with a certain skepticism. This skepticism can detrimentally affect their healthcare journey, social life, and economic stability. This article outlines part of the legal evolution regarding the recognition of chronic pain as well as the current insurance-related provisions in Switzerland. With a thorough understanding of this system, physicians can reduce frustration and disputes as well as promoting decision-making processes. The article concludes by highlighting the tools that physicians can use to navigate procedures related to disability insurance effectively.

Malgré une reconnaissance de la douleur chronique primaire comme maladie à part entière dans la 11e révision de la Classification internationale des maladies (CIM), les patient-e-s en souffrant font encore trop fréquemment face à un certain scepticisme. Cela peut leur porter préjudice dans leur parcours de soin, leur vie sociale et leur stabilité économique. Cet article retrace une partie de l'évolution légale de la reconnaissance de la douleur chronique ainsi que les dispositions assécurologiques en vigueur en Suisse. Une bonne connaissance de ce système de la part des médecins peut diminuer la frustration des patient-e-s, les litiges et la lenteur des décisions. Enfin, cet article conclut en proposant des conseils et des outils pour que les médecins puissent accompagner au mieux leurs patient-e-s dans les procédures assécurologiques.

Adaptation of the Risk Analysis Index for Frailty Assessment Using Diagnostic Codes.

Importance: Frailty is associated with adverse outcomes after even minor physiologic stressors. The validated Risk Analysis Index (RAI) quantifies frailty; however, existing methods limit application to in-person interview (clinical RAI) and quality improvement datasets (administrative RAI). Objective: To expand the utility of the RAI utility to available International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) administrative data, using the National Inpatient Sample (NIS). Design, Setting, and Participants: RAI parameters were systematically adapted to ICD-10-CM codes (RAI-ICD) and were derived (NIS 2019) and validated (NIS 2020). The primary analysis included survey-weighed discharge data among adults undergoing major surgical procedures. Additional external validation occurred by including all operative and nonoperative hospitalizations in the NIS (2020) and in a multihospital health care system (UPMC, 2021-2022). Data analysis was conducted from January to May 2023. Exposures: RAI parameters and in-hospital mortality. Main Outcomes and Measures: The association of RAI parameters with in-hospital mortality was calculated and weighted using logistic regression, generating an integerized RAI-ICD score. After initial validation, thresholds defining categories of frailty were selected by a full complement of test statistics. Rates of elective admission, length of stay, hospital charges, and in-hospital mortality were compared across frailty categories. C statistics estimated model discrimination. Results: RAI-ICD parameters were weighted in the 9 548 206 patients who were hospitalized (mean [SE] age, 55.4 (0.1) years; 3 742 330 male [weighted percentage, 39.2%] and 5 804 431 female [weighted percentage, 60.8%]), modeling in-hospital mortality (2.1%; 95% CI, 2.1%-2.2%) with excellent derivation discrimination (C statistic, 0.810; 95% CI, 0.808-0.813). The 11 RAI-ICD parameters were adapted to 323 ICD-10-CM codes. The operative validation population of 8 113 950 patients (mean [SE] age, 54.4 (0.1) years; 3 148 273 male [weighted percentage, 38.8%] and 4 965 737 female [weighted percentage, 61.2%]; in-hospital mortality, 2.5% [95% CI, 2.4%-2.5%]) mirrored the derivation population. In validation, the weighted and integerized RAI-ICD yielded good to excellent discrimination in the NIS operative sample (C statistic, 0.784; 95% CI, 0.782-0.786), NIS operative and nonoperative sample (C statistic, 0.778; 95% CI, 0.777-0.779), and the UPMC operative and nonoperative sample (C statistic, 0.860; 95% CI, 0.857-0.862). Thresholds defining robust (RAI-ICD <27), normal (RAI-ICD, 27-35), frail (RAI-ICD, 36-45), and very frail (RAI-ICD >45) strata of frailty maximized precision (F1 = 0.33) and sensitivity and specificity (Matthews correlation coefficient = 0.26). Adverse outcomes increased with increasing frailty. Conclusion and Relevance: In this cohort study of hospitalized adults, the RAI-ICD was rigorously adapted, derived, and validated. These findings suggest that the RAI-ICD can extend the quantification of frailty to inpatient adult ICD-10-CM-coded patient care datasets.

Age- and height-dependent bias of underweight and overweight assessment standards for children and adolescents.

Background: Precision in evaluating underweight and overweight status among children and adolescents is paramount for averting health and developmental issues. Existing standards for these assessments have faced scrutiny regarding their validity. This study investigates the age and height dependencies within the international standards set by the International Obesity Task Force (IOTF), relying on body mass index (BMI), and contrasts them with Japanese standards utilizing the percentage of overweight (POW). Method: We scrutinized a comprehensive database comprising 7,863,520 children aged 5-17 years, sourced from the School Health Statistics Research initiative conducted by Japan's Ministry of Education, Culture, Sports, Science, and Technology. Employing the quantile regression method, we dissected the structure of weight-for-height distributions across different ages and sexes, quantifying the potentially biased assessments of underweight and overweight status by conventional criteria. Results: Applying IOFT criteria for underweight assessment revealed pronounced height dependence in males aged 11-13 and females aged 10-11. Notably, a discernible bias emerged, wherein children in the lower 25th percentile were classified as underweight five times more frequently than those in the upper 25th percentile. Similarly, the overweight assessment displayed robust height dependence in males aged 8-11 and females aged 7-10, with children in the lower 25th percentile for height deemed obese four or five times more frequently than their counterparts in the upper 25th percentile. Furthermore, using the Japanese POW criteria for assessment revealed significant age dependence in addition to considerably underestimating the percentage of underweight and overweight cases under the age of seven. However, the height dependence for the POW criterion was smaller than the BMI criterion, and the difference between height classes was less than 3-fold. Conclusion: Our findings underscore the intricacies of age-dependent changes in body composition during the growth process in children, emphasizing the absence of gold standards for assessing underweight and overweight. Careful judgment is crucial in cases of short or tall stature at the same age, surpassing sole reliance on conventional criteria results.

Convergence of the dimensional assessment of personality pathology (DAPP-BQ) and the five-factor personality inventory for the international classification of diseases 11th edition (FFiCD) in the context of the five-factor model and personality disorders.

The current manuscript presents the convergence of the Dimensional Assessment of Personality Pathology (DAPP-BQ), using its short form the DAPP-90, and the Five-Factor Personality Inventory for International Classification of Diseases (ICD-11), the FFiCD, in the context of the five-factor personality model and the categorical approach of personality disorders (PDs). The current manuscript compares the predictive validity of both the FFiCD and the DAPP-90 regarding personality disorder scales and clusters. Results demonstrate a very high and meaningful convergence between the DAPP-90 and the FFiCD personality pathology models and a strong alignment with the FFM. The DAPP-90 and the FFiCD also present an almost identical predictive power of PDs. The DAPP-90 accounts for between 18% and 47%, and the FFiCD between 21% and 47% of PDs adjusted variance. It is concluded that both DAPP-90 and FFiCD questionnaires measure strongly similar pathological personality traits that could be described within the frame of the FFM. Additionally, both questionnaires predict a very similar percentage of the variance of personality disorders.

Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data.

BACKGROUND: Diagnosis-code-based algorithms to identify fall injuries in Medicare data are useful for ascertaining outcomes in interventional and observational studies. However, these algorithms have not been validated against a fully external reference standard, in ICD-10-CM, or in Medicare Advantage (MA) data. METHODS: We linked self-reported fall injuries leading to medical attention (FIMA) from the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial (reference standard) to Medicare fee-for-service (FFS) and MA data from 2015-19. We measured the area under the receiver operating characteristic curve (AUC) based on sensitivity and specificity of a diagnosis-code-based algorithm against the reference standard for presence or absence of ≥1 FIMA within a specified window of dates, varying the window size to obtain points on the curve. We stratified results by source (FFS vs MA), trial arm (intervention vs control), and STRIDE's 10 participating health care systems. RESULTS: Both reference standard data and Medicare data were available for 4 941 (of 5 451) participants. The reference standard and algorithm identified 2 054 and 2 067 FIMA, respectively. The algorithm had 45% sensitivity (95% confidence interval [CI]: 43%-47%) and 99% specificity (95% CI: 99%-99%) to identify reference standard FIMA within the same calendar month. The AUC was 0.79 (95% CI: 0.78-0.81) and was similar by FFS or MA data source and by trial arm but showed variation among STRIDE health care systems (AUC range by health care system, 0.71 to 0.84). CONCLUSIONS: An ICD-10-CM algorithm to identify fall injuries demonstrated acceptable performance against an external reference standard, in both MA and FFS data.

The Association Between Metformin Use and New-Onset ICD Coding of Geographic Atrophy.

Purpose: Metformin has been suggested to protect against the development of age-related macular degeneration (AMD) in multiple observational studies. However, the association between metformin and geographic atrophy (GA), a debilitating subtype of AMD, has not been analyzed. Methods: We conducted a case-control study of patients ages 60 years and older with new-onset International Classification of Diseases (ICD) coding of GA in the Merative MarketScan Commercial and Medicare Databases between 2017 and 2021. Cases were matched with propensity scores estimated by age, region, hypertension, and Charlson Comorbidity Index to a control without GA of the same year. Exposure to metformin was assessed for cases and controls in the year prior to their index visit. Conditional multivariable logistic regression, adjusting for AMD risk factors, was used to calculate odd ratios and 95% confidence intervals (CIs). This study design and analysis were repeated in a sample of patients without diabetes. Results: In the full sample, we identified 10,505 cases with GA and 10,502 matched controls without GA. In total, 1149 (10.9%) cases and 1277 (12.2%) controls were exposed to metformin, and in multivariable regression, metformin decreased the odds of new-onset ICD coding of GA by 12% (95% CI, 0.79-0.99). In the sample of patients without diabetes, we identified 7611 cases with GA and 7608 matched controls without GA. Twenty-nine (0.4%) cases and 63 (0.8%) controls were exposed to metformin, and in multivariable regression, metformin decreased the odds of new-onset ICD coding of GA by 47% (95% CI, 0.33-0.83). Conclusions: Metformin may hold promise as a noninvasive, alternative agent to prevent the development of GA. This finding is notable due to shortcomings in recently approved therapeutics for GA and metformin's overall ease of use and few adverse effects. Additional studies are required to explore our findings further and motivate a clinical trial.

Assessment and treatment of compulsive sexual behavior disorder: a sexual medicine perspective.

INTRODUCTION: The addition of compulsive sexual behavior disorder (CSBD) into the ICD-11 chapter on mental, behavioral, or neurodevelopmental disorders has greatly stimulated research and controversy around compulsive sexual behavior, or what has been termed "hypersexual disorder," "sexual addiction," "porn addiction," "sexual compulsivity," and "out-of-control sexual behavior." OBJECTIVES: To identify where concerns exist from the perspective of sexual medicine and what can be done to resolve them. METHODS: A scientific review committee convened by the International Society for Sexual Medicine reviewed pertinent literature and discussed clinical research and experience related to CSBD diagnoses and misdiagnoses, pathologizing nonheteronormative sexual behavior, basic research on potential underlying causes of CSBD, its relationship to paraphilic disorder, and its potential sexual health consequences. The panel used a modified Delphi method to reach consensus on these issues. RESULTS: CSBD was differentiated from other sexual activity on the basis of the ICD-11 diagnostic criteria, and issues regarding sexual medicine and sexual health were identified. Concerns were raised about self-labeling processes, attitudes hostile to sexual pleasure, pathologizing of nonheteronormative sexual behavior and high sexual desire, mixing of normative attitudes with clinical distress, and the belief that masturbation and pornography use represent "unhealthy" sexual behavior. A guide to CSBD case formulation and care/treatment recommendations was proposed. CONCLUSIONS: Clinical sexologic and sexual medicine expertise for the diagnosis and treatment of CSBD in the psychiatric-psychotherapeutic context is imperative to differentiate and understand the determinants and impact of CSBD and related "out-of-control sexual behaviors" on mental and sexual well-being, to detect forensically relevant and nonrelevant forms, and to refine best practices in care and treatment. Evidence-based, sexual medicine-informed therapies should be offered to achieve a positive and respectful approach to sexuality and the possibility of having pleasurable and safe sexual experiences.

Feasibility of extracting cancer stage and metastasis codes from health insurance claims of outpatients and expressibility in ICD-11: a cross-sectional study using national health insurance data from South Korea.

OBJECTIVES: This study aimed to evaluate the incidence of health insurance claims recording the cancer stage and TNM codes representing tumor extension size (T), lymph node metastasis (N), and distant metastasis (M) for patients diagnosed with cancer and to determine whether this extracted data could be applied to the new ICD-11 codes. DESIGN: A cross-sectional study design was used, with the units of analysis as individual outpatients. Two dependent variables were extraction feasibility of cancer stage and TNM metastasis information from each claim. Expressibility of the two variables in ICD-11 was descriptively analysed. SETTING AND PARTICIPANTS: The study was conducted in South Korea and study participants were outpatients: lung cancer (LC) (46616), stomach cancer (SC) (50103) and colorectal cancer (CC) (54707). The data set consisted of the first health insurance claim of each patient visiting a hospital from 1 July to 31 December 2021. RESULTS: The absolute extraction success rates for cancer stage based on claims with cancer stage was 33.3%. The rates for stage for LC, SC and CC were 30.1%, 35.5% and 34.0%, respectively. The rate for TNM was 11.0%. The relative extraction success rates for stage compared with that for CC (the reference group) were lower for patients with LC (adjusted OR (aOR), 0.803; 95% CI 0.782 to 0.825; p<0.0001) but higher for SC (aOR 1.073; 95% CI 1.046 to 1.101; p<0.0001). The rates of TNM compared that for CC were 40.7% lower for LC (aOR, 0.593; 95% CI 0.569 to 0.617; p<0.0001) and 43.0% lower for SC (aOR 0.570; 95% CI 0.548 to 0.593; p<0.0001). There were limits to expressibility in ICD-11 regarding the detailed cancer stage and TNM metastasis codes. CONCLUSION: Extracting cancer stage and TNM codes from health insurance claims were feasible, but expressibility in ICD-11 codes was limited. WHO may need to create specific cancer stage and TNM extension codes for ICD-11 due to the absence of current rules in ICD-11.

Validation of an international classification of disease, tenth revision, clinical modification (ICD-10-CM) algorithm in identifying severe hypoglycaemia events for real-world studies.

AIM: The transition to the ICD-10-CM coding system has reduced the utility of hypoglycaemia algorithms based on ICD-9-CM diagnosis codes in real-world studies of antidiabetic drugs. We mapped a validated ICD-9-CM hypoglycaemia algorithm to ICD-10-CM codes to create an ICD-10-CM hypoglycaemia algorithm and assessed its performance in identifying severe hypoglycaemia. MATERIALS AND METHODS: We assembled a cohort of Medicare patients with DM and linked electronic health record (EHR) data to the University of North Carolina Health System and identified candidate severe hypoglycaemia events from their Medicare claims using the ICD-10-CM hypoglycaemia algorithm. We confirmed severe hypoglycaemia by EHR review and computed a positive predictive value (PPV) of the algorithm to assess its performance. We refined the algorithm by removing poor performing codes (PPV ≤0.5) and computed a Cohen's κ statistic to evaluate the agreement of the EHR reviews. RESULTS: The algorithm identified 642 candidate severe hypoglycaemia events, and we confirmed 455 as true severe hypoglycaemia events, PPV of 0.709 (95% confidence interval: 0.672, 0.744). When we refined the algorithm, the PPV increased to 0.893 (0.862, 0.918) and missed <2.42% (<11) true severe hypoglycaemia events. Agreement between reviewers was high, κ = 0.93 (0.89, 0.97). CONCLUSIONS: We translated an ICD-9-CM hypoglycaemia algorithm to an ICD-10-CM version and found its performance was modest. The performance of the algorithm improved by removing poor performing codes at the trade-off of missing very few severe hypoglycaemia events. The algorithm has the potential to be used to identify severe hypoglycaemia in real-world studies of antidiabetic drugs.

The Alternative Model of Personality Disorders: Assessment, Convergent and Discriminant Validity, and a Look to the Future.

The Alternative Model of Personality Disorders (AMPD) is a dimensional, empirically based diagnostic system developed to overcome the serious limitations of traditional categories. We review the mounting evidence on its convergent and discriminant validity, with an incursion into the less-studied ICD-11 system. In the literature, the AMPD's Pathological Trait Model (Criterion B) shows excellent convergence with normal personality traits, and it could be useful as an organizing framework for mental disorders. In contrast, Personality Functioning (Criterion A) cannot be distinguished from personality traits, lacks both discriminant and incremental validity, and has a shaky theoretical background. We offer some suggestions with a view to the future. These include removing Criterion A, using the real-life consequences of traits as indicators of severity, delving into the dynamic mechanisms underlying traits, and furthering the integration of currently disengaged psychological paradigms that can shape a sounder clinical science.

A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study.

AIM: To determine the reliability of hospital discharge codes for heart failure (HF), acute myocardial infarction (AMI) and stroke compared with adjudicated diagnosis, and to pilot a scalable approach to adjudicate records on a population-based sample. METHODS: A population-based sample of 685 people with diabetes admitted (1274 admissions) to one of three Australian hospitals during 2018-2020 were randomly selected for this study. All medical records were reviewed and adjudicated. RESULTS: Cardiovascular diseases were the most common primary reason for hospitalisation in people with diabetes, accounting for ~17% (215/1274) of all hospitalisations, with HF as the leading cause. ICD-10 codes substantially underestimated HF prevalence and had the lowest agreement with the adjudicated diagnosis of HF (Kappa = 0.81), compared with AMI and stroke (Kappa ≥ 0.91). While ICD-10 codes provided suboptimal sensitivity (72%) for HF, the performance was better for AMI (sensitivity 84%; specificity 100%) and stroke (sensitivity 85%; specificity 100%). A novel approach to screen possible HF cases only required adjudicating 8% (105/1274) of records, correctly identified 78/81 of HF admissions and yielded 96% sensitivity and 98% specificity. CONCLUSIONS: While ICD-10 codes appear reliable for AMI or stroke, a more complex diagnosis such as HF benefits from a two-stage process to screen for suspected HF cases that need adjudicating. The next step is to validate this novel approach on large multi-centre studies in diabetes.

National patterns in the use of International Statistical Classification of Diseases and Health Related Problems, tenth revision Z codes in ambulatory surgery from 2016 to 2019.

BACKGROUND: In the tenth revision of the International Statistical Classification of Disease and Health Related Problems (ICD-10), Z codes were added to improve documentation and understanding of health-related social needs. We estimated national Z code use in the ambulatory surgery setting from 2016 to 2019. METHODS: Using the Nationwide Ambulatory Surgery Sample (NASS), we identified encounters for ambulatory surgery with an ICD-10 code between Z55.0 and Z65.9. Data were stratified by Z code domains from the Centers for Medicare and Medicaid Services (CMS). RESULTS: This analysis of 41,827 ambulatory surgery encounters with documented Z codes found that the most documented determinants of health related to multiparity or unwanted pregnancy, homelessness, and incarceration. There was a 16.1% increase in the use of Z codes from 2016 to 2019. CONCLUSION: Rates of Z code use in the ambulatory surgery setting are increasing with current documentation serving as a specific but not sensitive measure of socioeconomic need.

Validation of an ICD-10 case-finding algorithm for endometrial cancer in US insurance claims.

PURPOSE: To evaluate the positive predictive value (PPV) of an endometrial cancer case finding algorithm using International Classification of Disease 10th revision Clinical Modification (ICD-10-CM) diagnosis codes from US insurance claims for implementation in a planned post-marketing safety study. Two algorithm variants were evaluated. METHODS: Provisional incident endometrial cancer cases were identified from 2016 through 2020 among women aged ≥50 years. One algorithm variant used diagnosis codes for malignant neoplasms of uterine sites (C54.x), excluding C54.2 (malignant neoplasm of myometrium); the other used only C54.1 (malignant neoplasm of endometrium). A random sample of medical records of recent incident provisional cases (2018-2020) was requested for adjudication. Confirmed cases showed biopsy evidence of endometrial cancer, documentation of cancer staging, or hysterectomy following diagnosis. We estimated the PPV of the variants with 95% confidence intervals (CI) excluding cases that had insufficient information. RESULTS: Of 294 provisional cases adjudicated, 85% were from outpatient settings (n = 249). Mean age at diagnosis was 69.3 years. Among the 294 adjudicated cases (identified with the broader algorithm variant), the same 223 were confirmed endometrial cancer cases by both algorithm variants. The PPV (95% CI) for the broader algorithm variant was 84.2% (79.2% and 88.3%), and for the variant using only C54.1 was 85.8% (80.9% and 89.8%). CONCLUSION: We developed and validated an algorithm using ICD-10-CM diagnosis codes to identify endometrial cancer cases in health insurance claims with a sufficiently high PPV to use in a planned post-marketing safety study.

Association of social determinants of health International Classification of Disease, Tenth Edition clinical modification codes with outcomes for emergency general surgery and trauma admissions.

BACKGROUND: Patients with Acute Care Surgery needs (ie, emergency general surgery diagnosis or trauma admission) are at particularly high risk for nonmedical patient-related factors that can be important drivers of healthcare outcomes. These social determinants of health are typically ascertained at the geographic area level (ie, county or neighborhood) rather than at the individual patient level. Recently, the International Classification of Diseases Tenth Revision, Tenth Edition created codes to capture health hazards related to patient socioeconomic and psychosocial circumstances. We sought to characterize the impact of these social determinants of health-related codes on perioperative outcomes among patients with acute care surgery needs. METHODS: Patients diagnosed between 2017 and 2020 with acute care surgery needs (ie, emergency general surgery diagnosis or a trauma admission) were identified in the California Department of Healthcare Access and information Patient Discharge database. Data on concomitant social determinants of health-related codes (International Classification of Diseases Tenth Revision, Tenth Edition Z55-Z65), which designated health hazards related to socioeconomic and psychosocial (socioeconomic and psychosocial, respectively) circumstances, were obtained. After controlling for patient factors, including age, sex, race, payer type, and admitting hospital, the association of socioeconomic and psychosocial codes with perioperative outcomes and hospital disposition was analyzed. RESULTS: Among 483,280 with an acute care surgery admission (emergency general surgery: n = 289,530, 59.9%; trauma: n = 193,705, 40.1%) mean age was 56.5 years (standard deviation: 21.5) and 271,911 (56.3%) individuals were male. Overall, 16,263 (3.4%) patients had a concomitant socioeconomic and psychosocial diagnosis code. The percentage of patients with a concurrent social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis increased throughout the study period from 2.6% in 2017 to 4.4% in 2020. Patients that were male (odds ratio 1.89; 95% confidence interval 1.82, 1.96), insured by Medicaid (odds ratio 5.43; 95% confidence interval 5.15, 5.72) or self-pay (odds ratio 3.04; 95% confidence interval 2.75, 3.36) all had higher odds of having an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis. Black race did not have a significant association with an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis (odds ratio 0.99; 95% confidence interval 0.94, 1.04); however, Hispanic (odds ratio 0.44; 95% confidence interval 0.43, 0.46) and Asian (odds ratio 0.40; 95% confidence interval 0.36, 0.44) race/ethnicity was associated with a lower odds of having an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis. After controlling for competing risk factors on multivariable analyses, the risk-adjusted probability of hospital postoperative death was 3.1% (95% confidence interval 2.8, 3.4) among patients with a social determinants of health diagnosis versus 5.9% (95% confidence interval 5.9, 6.0) (odds ratio 0.48; 95% confidence interval 0.44, 0.54) among patients without a social determinants of health diagnosis. Risk-adjusted complications were 26.7% (95% confidence interval 26.1, 37.3) among patients with a social determinants of health diagnosis compared with 31.9% (95% confidence interval 31.7, 32.0) (odds ratio 0.74; 95% confidence interval 0.71, 0.77) among patients without a social determinants of health diagnosis. CONCLUSION: International Classification of Diseases Tenth Revision, Tenth Edition social determinants of health code use was low, with only 3.4% of patients having documentation of a socioeconomic and psychosocial circumstance. The presence of an International Classification of Diseases Tenth Revision, Tenth Edition social determinants of health code was not associated with greater odds of complications or death; however, it was associated with longer length of stay and higher odds of being discharged to a skilled nursing facility.

Distribution and frequency of clinical criteria and rating scales for diagnosis and assessment of catatonia in different study types.

BACKGROUND: A comprehensive assessment of catatonic symptoms is decisive for diagnosis, neuronal correlates, and evaluation of treatment response and prognosis of catatonia. Studies conducted so far used different cut-off criteria and clinical rating scales to assess catatonia. Therefore, the main aim of this study was to examine the frequency and distribution of diagnostic criteria and clinical rating scales for assessing catatonia that were used in scientific studies so far. METHODS: We conducted a systematic review using PubMed searching for articles using catatonia rating scales/criteria published from January 1st 1952 (introduction of catatonic schizophrenia to first edition of the Diagnostic and Statistical Manual of Mental Disorders [DSM]) up to December 5th, 2022. RESULTS: 1928 articles were considered for analysis. 1762 (91,39 %) studies used one and 166 (8,61 %) used ≥2 definitions of catatonia. However, 979 (50,7 %) articles did not report any systematic assessment of catatonia. As for clinical criteria, DSM criteria were used by the majority of studies (n = 290; 14.0 %), followed by International Classification of Diseases (ICD) criteria (n = 61; 2.9 %). The Bush-Francis Catatonia Rating Scale (BFCRS) was found to be by far the most frequently utilized scale (n = 464; 22.4 % in the respective years), followed by Northoff Catatonia Rating Scale (NCRS) (n = 31; 1.5 % in the respective years). CONCLUSION: DSM and ICD criteria as well as BFCRS and NCRS were most frequently utilized and can therefore be recommended as valid instruments for the assessment of catatonia symptomatology.

Association of ICD-10 Clinical Modification Codes for Social Determinants of Health with Surgical Outcomes and Hospital Charges Among Cancer Patients.

INTRODUCTION: We sought to characterize the impact of social determinants of health (SDOH)-related codes on outcomes among patients with a cancer diagnosis. METHODS: Patients diagnosed with lung, pancreas, colon, or rectal cancer between 2017 and 2020 were identified in the California Department of Healthcare Access and Information Patient Discharge Database. Data on concomitant SDOH-related codes (International Classification of Diseases, Tenth Revision [ICD-10] Z55-Z65) designating health hazards related to socioeconomic and psychosocial circumstances were obtained. The association of these SDOH codes with postoperative outcomes was evaluated. RESULTS: Among 10,421 patients who underwent an operation from 2017 to 2020, median age was 66 years (interquartile range [IQR] 56-75) and nearly half of the cohort was male (n = 551,252.9%). In total, 102 (1%) patients had a concurrent ICD-10 SDOH diagnosis. After controlling for competing risk factors, the risk-adjusted probability of in-hospital death was 4.1% (95% confidence interval [CI] 1.0-7.2) among patients with an SDOH diagnosis compared with 2.9% (95% CI 2.5-3.2) among patients without an SDOH diagnosis (odds ratio [OR] 1.52, 95% CI 0.63-3.66; p = 0.258); postoperative complications were 27.0% (95% CI 20.0-34.1) compared with 24.9% (95% CI 24.1-25.6) among patients without an SDOH diagnosis (OR 1.15, 95% CI 0.73-1.82; p = 0.141), and length of stay was 10.6 days (95% CI 10.0-11.2) compared with 9.4 days (95% CI 9.3-9.5) among patients without an SDOH diagnosis. Patients with an SDOH diagnosis had a 5.19 (95% CI 3.23-8.34; p < 0.005) higher odds of being discharged to a skilled nursing facility versus patients without an SDOH diagnosis. CONCLUSION: Uptake and utilization of ICD-10 SDOH was 1% among California patients with lung, pancreas, colon, or rectal cancer. Patients with a concomitant ICD-10 SDOH code had longer length of stay and had higher odds of being discharged to a skilled nursing facility.

Trends in Neonatal Opioid Withdrawal Syndrome and Opioid Exposure Diagnoses Among Infants With Private Health Insurance, 2016-2021: Introduction of the P04.14 ICD-10-CM Code.

OBJECTIVE: The opioid epidemic has led to a surge in diagnoses of neonatal opioid withdrawal syndrome (NOWS). Many states track the incidence of NOWS by using the P96.1 International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) code for "neonatal withdrawal symptoms from maternal use of drugs of addiction." In October 2018, an ICD-10-CM code for neonatal opioid exposure (P04.14) was introduced. This code can be used when an infant is exposed to opioids in utero but does not have clinically significant withdrawal symptoms. We analyzed the effect of the P04.14 code on the incidence rate of NOWS (P96.1) and "other" neonatal drug exposure diagnoses (P04.49). METHODS: We used private health insurance data collected for infants in the United States from the first quarter of 2016 through the third quarter of 2021 to describe incidence rates for each code over time and examine absolute and percentage changes before and after the introduction of code P04.14. RESULTS: The exclusive use of code P96.1 declined from an incidence rate per 1000 births of 1.08 in 2016-2018 to 0.70 in 2019-2021, a -35.7% (95% CI, -47.6% to -23.8%) reduction. Use of code P04.49 only declined from an incidence rate of 2.34 in 2016-2018 to 1.64 in 2019-2021, a -30.0% (95% CI, -36.4% to -23.7%) reduction. Use of multiple codes during the course of treatment increased from an average incidence per 1000 births of 0.56 in 2016-2018 to 0.79 in 2019-2021, a 45.5% (95% CI, 24.8%-66.1%) increase. CONCLUSION: The introduction of ICD-10-CM code P04.14 altered the use of other neonatal opioid exposure codes. The use of multiple codes increased, indicating that some ambiguity may exist about which ICD-10-CM code is most appropriate for a given set of symptoms.

Association Between ICD-10 Codes for Social Needs and Subsequent Emergency and Inpatient Use.

BACKGROUND: International Classification of Diseases, 10th revision Z codes capture social needs related to health care encounters and may identify elevated risk of acute care use. OBJECTIVES: To examine associations between Z code assignment and subsequent acute care use and explore associations between social need category and acute care use. RESEARCH DESIGN: Retrospective cohort study. SUBJECTS: Adults continuously enrolled in a commercial or Medicare Advantage plan for ≥15 months (12-month baseline, 3-48 month follow-up). OUTCOMES: All-cause emergency department (ED) visits and inpatient admissions during study follow-up. RESULTS: There were 352,280 patients with any assigned Z codes and 704,560 sampled controls with no Z codes. Among patients with commercial plans, Z code assignment was associated with a 26% higher rate of ED visits [adjusted incidence rate ratio (aIRR) 1.26, 95% CI: 1.25-1.27] and 42% higher rate of inpatient admissions (aIRR 1.42, 95% CI: 1.39-1.44) during follow-up. Among patients with Medicare Advantage plans, Z code assignment was associated with 42% (aIRR 1.42, 95% CI: 1.40-1.43) and 28% (aIRR 1.28, 95% CI: 1.26-1.30) higher rates of ED visits and inpatient admissions, respectively. Within the Z code group, relative to community/social codes, socioeconomic Z codes were associated with higher rates of inpatient admissions (commercial: aIRR 1.10, 95% CI: 1.06-1.14; Medicare Advantage: aIRR 1.24, 95% CI 1.20-1.27), and environmental Z codes were associated with lower rates of both primary outcomes. CONCLUSIONS: Z code assignment was independently associated with higher subsequent emergency and inpatient utilization. Findings suggest Z codes' potential utility for risk prediction and efforts targeting avoidable utilization.