A systematic review of validated suicide outcome classification in observational studies

BACKGROUND

Suicidal outcomes, including ideation, attempt, and completed suicide, are an important drug safety issue, though few epidemiological studies address the accuracy of suicidal outcome ascertainment. Our primary objective was to evaluate validated methods for suicidal outcome classification in electronic health care database studies.

METHODS

We performed a systematic review of PubMed and EMBASE to identify studies that validated methods for suicidal outcome classification published 1 January 1990 to 15 March 2016. Abstracts and full texts were screened by two reviewers using prespecified criteria. Sensitivity, specificity, and predictive value for suicidal outcomes were extracted by two reviewers. Methods followed PRISMA-P guidelines, PROSPERO Protocol: 2016: CRD42016042794.

RESULTS

We identified 2202 citations, of which 34 validated the accuracy of measuring suicidal outcomes using International Classification of Diseases (ICD) codes or algorithms, chart review or vital records. ICD E-codes (E950-9) for suicide attempt had 2-19% sensitivity, and 83-100% positive predictive value (PPV). ICD algorithms that included events with 'uncertain' intent had 4-70% PPV. The three best-performing algorithms had 74-92% PPV, with improved sensitivity compared with E-codes. Read code algorithms had 14-68% sensitivity and 0-56% PPV. Studies estimated 19-80% sensitivity for chart review, and 41-97% sensitivity and 100% PPV for vital records.

CONCLUSIONS

Pharmacoepidemiological studies measuring suicidal outcomes often use methodologies with poor sensitivity or predictive value or both, which may result in underestimation of associations between drugs and suicidal behaviour. Studies should validate outcomes or use a previously validated algorithm with high PPV and acceptable sensitivity in an appropriate population and data source.

Validity of the personality disorder diagnosis in the Swedish National Patient Register

AIMS

The Swedish National Patient Register (NPR) is an exceptional source of information in clinical epidemiological research. The register is, however, not validated for the diagnosis of personality disorder (PD). We therefore assessed its validity in this patient group, and the group with emotionally unstable PD (EUPD)/borderline personality disorder (BPD).

METHODS

Records from 100 random adult patients (aged 15-65 years) diagnosed with any PD in the NPR between 1987 and 2015 were analysed using a protocol based on general diagnostic criteria for PD, as well as specific criteria for EUPD/BPD in both ICD and DSM classification systems.

RESULTS

Of the 100 patients, 27 had been given a diagnosis of EUPD, 23 another specific PD and 50 an unspecified PD. Using ICD criteria, 88 of 95 evaluable patients could be confirmed to have a PD, that is an agreement rate of 93%. Using DSM criteria, the agreement was lower (77 patients or 81%). Of 26 evaluable patients with a diagnosis of EUPD/BPD, the diagnosis was confirmed in all cases when using the ICD criteria, but in only 20 when using the DSM criteria.

CONCLUSIONS

The NPR is a valid source of data for the diagnosis of PD per se and also of EUPD in women.

Analysis of MarketScan Data for Immunosuppressive Conditions and Hospitalizations for Acute Respiratory Illness, United States

Increasing use of immunosuppressive biologic therapies poses a challenge for infectious diseases. Immunosuppressed patients have a high risk for influenza complications and an impaired immune response to vaccines. The total burden of immunosuppressive conditions in the United States, including those receiving emerging biologic therapies, remains unknown. We used the national claims database MarketScan to estimate the prevalence of immunosuppressive conditions and risk for acute respiratory illnesses (ARIs). We studied 47.2 million unique enrollees, representing 115 million person-years of observation during 2012–2017, and identified immunosuppressive conditions in 6.2% adults 18–64 years of age and 2.6% of children <18 years of age. Among 542,105 ARI hospitalizations, 32% of patients had immunosuppressive conditions. The risk for ARI hospitalizations was higher among enrollees with immunosuppression than among nonimmunosuppressed enrollees. Future efforts should focus on developing improved strategies, including vaccines, for preventing influenza in immunosuppressed patients, who are an increasing population in the United States.

An electronic health record-based strategy to recruit for a Patient Advisory Council for Research: Implications for inclusion

In 2017, the NYU Clinical and Translational Science Institute’s Recruitment and Retention Unit created a Patient Advisory Council for Research (PACR) to provide feedback on clinical trials and health research studies. We collaborated with our clinical research informatics team to generate a random sample of patients, based on the International Classification of Diseases, Tenth Revision codes and demographic factors, for invitation via the patient portal. This approach yielded in a group that was diverse with regard to age, race/ethnicity, sex, and health conditions. This report highlights the benefits and limitations of using an electronic health record-based strategy to identify and recruit members for a PACR.

Predictors of diagnostic stability in acute and transient psychotic disorders: validation of previous findings and implications for ICD-11

Acute and transient psychotic disorders (ATPD) have moderate prospective diagnostic stability. Female gender, older age at onset, good premorbid adjustment, abrupt onset, shifting polymorphic symptomatology and absence of schizophrenic features have been found to be predictive factors of diagnostic stability in ATPDs. Nevertheless, most of these findings need to be replicated. The purpose of this study was to evaluate the diagnostic stability of patients with ATPD, and to determine whether previously accepted predictors of diagnostic stability for ATPD could be externally validated in our cohort. To that end, a prospective 2-year observational study was conducted on patients with first-episode ATPD. Multivariate analysis was performed to determine factors associated with ATPD diagnostic stability at the end of the follow-up period. The following prior knowledge variables were analyzed: female gender, older age at onset, good premorbid adjustment, abrupt onset, shifting polymorphic symptomatology and absence of schizophrenic features. Sixty-eight patients with first-episode ATPD completed the follow-up, of whom 55.9% (n = 38) retained their diagnosis of ATPD at the end of the study. Multivariate analysis revealed that diagnostic stability was independently significantly associated with the presence of shifting polymorphic symptomatology (OR = 7.42, 95% CI 1.65-33.30; p = 0.009) and the absence of schizophrenic features (OR = 6.37, 95% CI 1.47-27.54; p = 0.013) at the onset of the psychotic disorder. Our findings provide empirical support for the ICD-11 proposal restricting the new ATPD category to the acute polymorphic disorder without schizophrenia symptoms.

Validity of ICD-based algorithms to estimate the prevalence of injection drug use among infective endocarditis hospitalizations in the absence of a reference standard

BACKGROUND

International Classification of Diseases (ICD) code algorithms are routinely used to estimate the frequency of illicit injection drug use (IDU)-associated hospitalizations in administrative health datasets despite a lack of evidence regarding their validity. We aimed to measure the sensitivity and specificity of ICD code algorithms used to estimate the prevalence of current/recent IDU among infective endocarditis (IE) hospitalizations without a reference standard.

METHODS

We reviewed medical records of 321 patients aged 18-64 years old from an urban academic hospital with an IE diagnosis between 2007 and 2017. Diagnostic tests for IDU included self-reported IDU in medical records; a drug use, abuse and dependence (UAD) ICD algorithm; a Hepatitis C Virus (HCV) ICD algorithm; and a combination drug UAD/HCV ICD algorithm. Sensitivity, specificity and the misclassification error (ME)-adjusted IDU prevalence were estimated using Bayesian latent class models.

RESULTS

The combination algorithm had the highest sensitivity and lowest specificity. Sensitivity increased for the drug UAD algorithm in the ICD-10 period compared to the ICD-9 period. The ME-adjusted current/recent IDU prevalence estimated using the drug UAD and HCV algorithms was 23 % (95 % Bayesian credible interval: 16 %, 31 %). The unadjusted prevalence estimate from the drug UAD algorithm underestimated the ME-adjusted prevalence, while the combination algorithm overestimated it.

CONCLUSION

The validity of ICD code algorithms for IDU among IE hospitalizations is imperfect and differs between ICD-9 and ICD-10. Commonly used ICD-based algorithms could lead to substantially biased prevalence estimates in IDU-associated hospitalizations when using administrative health data.

Action Plan to Ensure Global Availability of Adrenaline Autoinjectors

Adrenaline (epinephrine) is the first-line treatment for anaphylaxis and, therefore, is listed as an essential medication for the treatment of anaphylaxis by the World Health Organization (WHO). However, the availability of adrenaline autoinjectors (AAI) for use as first-aid treatment is limited to only 32% of all the world's 195 countries, most of which are high-income countries. The key issues leading to the lack of availability of AAIs include cost, national regulations, lack of regional evidence on the value of epinephrine, and limited accurate data about the epidemiology of anaphylaxis. For these reasons, regional and international allergy academies support initiatives to narrow these gaps. Our WHO Collaborating Centre is deeply involved in this process. This document aims to serve as a baseline to ensure the following: (1) adequate access to affordable autoinjectors for all patients/societies; and (2) the development of disease-/patient-specific approaches. Therefore, we propose a 5-step action plan that aims to gather accurate epidemiological data on anaphylaxis and autoinjector consumption, confirm partnerships, strengthen awareness, and include AAIs in the WHO Model List of Essential Medicines. These aspects should be considered in combination. A prioritized research agenda should encapsulate all these steps within the framework a global initiative against anaphylaxis. More than calling for universal availability of autoinjectors for optimal management of anaphylaxis, we propose an action plan as the baseline for a global initiative against anaphylaxis. We strongly believe that combined efforts will ensure a strong public health and societal approach that will lead to optimal care of allergic patients and best practices in allergology.

Accuracy of diagnostic classification and clinical utility assessment of ICD-11 compared to ICD-10 in 10 mental disorders: findings from a web-based field study

In this web-based field study, we compared the diagnostic accuracy and clinical utility of 10 selected mental disorders between the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG) and the ICD-10 CDDG using vignettes in a sample of 928 health professionals from all WHO regions. On average, the ICD-11 CDDG displayed significantly higher diagnostic accuracy (71.9% for ICD-11, 53.2% for ICD-10), higher ease of use, better goodness of fit, higher clarity, and lower time required for diagnosis compared to the ICD-10 CDDG. The advantages of the ICD-11 CDDG were largely limited to new diagnoses in ICD-11. After limiting analyses to diagnoses existing in ICD-11 and ICD-10, the ICD-11 CDDG were only superior in ease of use. The ICD-11 CDDG were not inferior in diagnostic accuracy or clinical utility compared to the ICD-10 CDDG for any of the vignettes. Diagnostic accuracy was consistent across WHO regions and independent of participants' clinical experience. There were no differences between medical doctors and psychologists in diagnostic accuracy, but members of other health professions had greater difficulties in determining correct diagnoses based on the ICD-11 CDDG. In sum, there were no differences in diagnostic accuracy for diagnoses existing in ICD-10 and ICD-11, but the introduction of new diagnoses in ICD-11 has improved the diagnostic classification of some clinical presentations. The favourable clinical utility ratings of the ICD-11 CDDG give reason to expect a positive evaluation by health professionals in the implementation phase of ICD-11. Yet, training in ICD-11 is needed to further enhance the diagnostic accuracy.

Concordance Between ICD-10 Codes and Clinical Diagnosis of Hypoparathyroidism in Sweden

Introduction

Chronic hypoparathyroidism is a rare disorder. The disease is characterized by low serum calcium, high serum phosphate, and deficient production of parathyroid hormone. The most common etiology is unintentional damage and intentional removal to the parathyroid glands during anterior neck surgery. Other causes include genetic disorders and autoimmune diseases. Knowledge about the epidemiology of chronic hypoparathyroidism is sparse and the prevalence in Sweden is unknown. It is of importance to know the validity of the registers used to study the epidemiology of hypoparathyroidism in Sweden.

The purpose of this study was to validate the International Classification of Diseases - 10th revision (ICD-10) diagnosis of hypoparathyroidism in the Swedish National Patient Register.

Methods

We included patients with the ICD-10 diagnosis of hypoparathyroidism that were found in the Swedish National Patient Register during 2004 to 2016. Through the unique national registration number assigned to all Swedish inhabitants, we could link this information to the Swedish Prescribed Drug Register. We included patients with an ICD-10 diagnosis for hypoparathyroidism and on concurrent conventional treatment for the disease. The validation of the diagnosis was assessed through review of medical records of 120 patients.

Results

A total of 958 patients, 70% women (n=671) and 30% men (n=287) met the inclusion criteria. In total, 120 randomly chosen medical records were reviewed and 109 cases were confirmed. This corresponds to an overall positive predictive value of 91%.

Conclusion

The validity of the ICD-10 diagnosis of hypoparathyroidism in the Swedish National Patient Register is high and the register is a reliable source for further research. There is a risk of miscoding when assigning an ICD-code to the medical records. We urge clinicians to be aware of this risk, especially the risk of mix-ups with the more common diagnosis of hyperparathyroidism.

Discrimination of prediction models between cold-heat and deficiency-excess patterns

OBJECTIVE

The purpose of this study was to extract important patient questionnaire items by creating random forest models for predicting pattern diagnosis considering an interaction between deficiency-excess and cold-heat patterns.

DESIGN

A multi-centre prospective observational study.

SETTING

Participants visiting six Kampo speciality clinics in Japan from 2012 to 2015.

MAIN OUTCOME MEASURE

Deficiency-excess pattern diagnosis made by board-certified Kampo experts.

METHODS

We used 153 items as independent variables including, age, sex, body mass index, systolic and diastolic blood pressures, and 148 subjective symptoms recorded through a questionnaire. We sampled training data with an equal number of the different patterns from a 2 × 2 factorial combination of deficiency-excess and cold-heat patterns. We constructed the prediction models of deficiency-excess and cold-heat patterns using the random forest algorithm, extracted the top 10 essential items, and calculated the discriminant ratio using this prediction model.

RESULTS

BMI and blood pressure, and subjective symptoms of cold or heat sensations were the most important items in the prediction models of deficiency-excess pattern and of cold-heat patterns, respectively. The discriminant ratio was not inferior compared with the result ignoring the interaction between the diagnoses.

CONCLUSIONS

We revised deficiency-excess and cold-heat pattern prediction models, based on balanced training sample data obtained from six Kampo speciality clinics in Japan. The revised important items for diagnosing a deficiency-excess pattern and cold-heat pattern were compatible with the definition in the 11^th version of international classification of diseases.

Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD

BACKGROUND AND OBJECTIVES

Exposure to particulate matter (PM) <2.5 μm in aerodynamic diameter (PM2.5) has been linked to detrimental health effects. This study aimed to describe the relationship between long-term PM2.5 exposure and kidney disease, including eGFR, level of albuminuria, and incident CKD.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

The study included 10,997 participants from the Atherosclerosis Risk in Communities cohort who were followed from 1996-1998 through 2016. Monthly mean PM2.5 concentrations (μg/m3) were estimated at geocoded participant addresses using geographic information system-based, spatiotemporal generalized additive mixed models-including geospatial covariates such as land use-and then averaged over the 12-month period preceding participant examination. Covariate-adjusted, cross-sectional associations of PM2.5, baseline eGFR, and urinary albumin-creatinine ratio (UACR) were estimated using linear regression. PM2.5 and incident CKD (defined as follow-up eGFR <60 ml/min per 1.73 m2 with ≥25% eGFR decline relative to baseline, CKD-related hospitalization or death based on International Classification of Diseases 9/10 codes, or development of ESKD) associations were estimated using Cox proportional hazards regression. Modeling was stratified by study site, and stratum-specific estimates were combined using random-effects meta-analyses.

RESULTS

Baseline mean participant age was 63 (±6) years and eGFR was 86 (±16) ml/min per 1.73 m2. There was no significant PM2.5-eGFR association at baseline. Each 1-μg/m3 higher annual average PM2.5 was associated with higher UACR after adjusting for demographics, socioeconomic status, and clinical covariates (percentage difference, 6.6%; 95% confidence interval [95% CI], 2.6% to 10.7%). Each 1-μg/m3 higher annual average PM2.5 was associated with a significantly higher risk of incident CKD (hazard ratio, 1.05; 95% CI, 1.01 to 1.10).

CONCLUSIONS

Exposure to higher annual average PM2.5 concentrations was associated with a higher level of albuminuria and higher risk for incident CKD in a community-based cohort.

Validity of International Classification of Diseases codes in identifying illicit drug use target conditions using medical record data as a reference standard: A systematic review

BACKGROUND

The twenty-first century opioid crisis has spurred interest in using International Classification of Diseases (ICD) code algorithms to identify patients using illicit drugs from administrative healthcare data. We conducted a systematic review of studies that validated ICD code algorithms for illicit drug use against a reference standard of medical record data.

METHODS

Systematic searches of MEDLINE, EMBASE, PsycINFO, and Web of Science were conducted for studies published between 1980 and 2018 in English, French, Italian, or Spanish. We included validation studies of ICD-9 or ICD-10 code algorithms for an illicit drug use target condition (e.g., illicit drug use, abuse, or dependence (UAD), illicit drug use-related complications) given the sensitivity or specificity was reported or could be calculated. Bias was assessed with the Quality Assessment of Diagnostic Accuracy Studies Version 2 (QUADAS-2) tool.

RESULTS

Six of the 1210 articles identified met the inclusion criteria. For validation studies of broad UAD (n = 4), the specificity was nearly perfect, but the sensitivity ranged from 47% to 83%, with higher sensitivities tending to occur in higher prevalence populations. For validation studies of injection drug use (IDU)-associated infective endocarditis (n = 2), sensitivity and specificity were poor due to the lack of an ICD code for IDU. For all six studies, the risk of bias for the QUADAS-2 "reference standard" and "flow/timing domains" was scored as "unclear" due to insufficient reporting.

CONCLUSIONS

Few studies have validated ICD code algorithms for illicit drug use target conditions, and available evidence is challenging to interpret due to inadequate reporting. PROSPERO Registration: CRD42019118401.

Field Testing of ICD-11 Proposals for Female Sexual Dysfunctions in India: Cognitive Interviews with Patients

BACKGROUND

Women's experiences of female sexual difficulties are shaped by cultural expectations.

AIM OF THE STUDY

To investigate the cultural validity and clinical utility of the classification of female sexual dysfunctions (FSD) in the International Classification of Diseases - 11^th Revision (ICD-11) among Indian Women.

METHODS

A purposive sample of 22 married women with probable sexual problems underwent cognitive interviews that were conducted using a semi-structured guide. The interviews were transcribed and analyzed qualitatively to help establish the content and cultural validity of the ICD-11 classification of FSD.

RESULTS

Most participants had limited knowledge of the sexual act, felt unskilled in sex, and were led by their husbands in sexual matters. Many participants reported problems related to sexual dysfunction and sexual pain-penetration. Many participants with sexual pain-penetration issues and some with low sexual desire considered these symptoms to be problematic; however, this was rarely the case with the absence or lack of sexual arousal and orgasm. The application of the 'independent focus of clinical attention' requirement for diagnosis reduced cases by half for Hypoactive Sexual Desire Disorder (HSDD) and almost eliminated all cases of Female Sexual Arousal Dysfunction (FSAD) and Anorgasmia. Hence, this requirement was moved from essential (required) features to 'additional features' of the final ICD-11 sexual dysfunction guidelines.

CONCLUSION

Advancement toward a more precise nomenclature and classification system of FSD will facilitate better diagnosis which will ultimately lead to improved care for women with sexual dysfunction.

How service users and carers understand, perceive, rephrase, and communicate about "depressive episode" and "schizophrenia" diagnoses: an international participatory research

BACKGROUND

For ICD-11, the WHO emphasized the clinical utility of communication and the need to involve service users and carers in the revision process.

AIMS

The objective was to assess whether medical vocabulary was accessible, which kinds of feelings it activated, whether and how users and carers would like to rephrase terms, and whether they used diagnosis to talk about mental health experiences.

METHOD

An innovative protocol focused on two diagnoses (depressive episode and schizophrenia) was implemented in 15 different countries. The same issues were discussed with users and carers: understanding, feelings, rephrasing, and communication.

RESULTS

Most participants reported understanding the diagnoses, but associated them with negative feelings. While the negativity of "depressive episode" mostly came from the concept itself, that of "schizophrenia" was largely based on its social impact and stigmatization associated with "mental illness". When rephrasing "depressive episode", a majority kept the root "depress*", and suppressed the temporal dimension or renamed it. Almost no one suggested a reformulation based on "schizophrenia". Finally, when communicating, no one used the phrase "depressive episode". Some participants used words based on "depress", but no one mentioned "episode". Very few used "schizophrenia".

CONCLUSION

Data revealed a gap between concepts and emotional and cognitive experiences. Both professional and experiential language and knowledge have to be considered as complementary. Consequently, the ICD should be co-constructed by professionals, service users, and carers. It should take the emotional component of language, and the diversity of linguistic and cultural contexts, into account.

[The mortality of diabetes mellitus from the perspective of multiple causes of death: encoding problems]

The statistics of causes of death is the informational basis for identifying public health problems. That is why the accurately accounting for mortality from diabetes mellitus, which is a global medical and social problem for society, is important. The study was carried out to analyze the correctness of coding death causes of diabetes mellitus and the frequency of alleged death.

MATERIALS AND METHODS

The Moscow deceased population database of July 2018 - July 2019 was analyzed. Using the decision tables on codes linkages from ICD-10, incorrect codes for underline cause were established for 342 death cases from diabetes mellitus. Among 43044 cases of cardiovascular death the cases of presumed death from diabetes were detected. The analysis was carried out in the Microsoft Access 2007 software.

THE RESULTS

In 18.4% of cases, the cause of death from diabetes was encoded incorrectly. If a modification of the underline death cause is assumed due to the mention of certain diseases in any line of the Death Certificate, cases of coding for death from diabetes with wrong fourth character are more often detected when mentioning kidney diseases. If modification of the underline cause is provided for cases when information in the Death Certificate indicates that diabetes has caused the development of some diseases then the largest number of cases with incorrect coding was detected when mentioning circulatory diseases. Only in one medical organization the frequency of incorrect coding is 3.4%, in the rest it varies from 15.4% to 52.2%. Among all death causes, diabetes was only 0.41%. If to add cases of presumptive death from diabetes mellitus, then the proportion of diabetes in the structure of death causes will almost triple and reach up to 1.2%.

CONCLUSIONS

The quality of diagnosis and coding of death causes from diabetes has not improved in recent years. To increase it, it is advisable to organize and establish the institution of coders. It is advisable to indicate the presence of diabetes mellitus in the Death Certificate without fail and use the information from the diabetes register. It is proposed to encode the death cause from diabetes mellitus with multiple complications use line D in the Death Certificate to indicate damage to various organs and systems if it is necessary.

A narrative review of the impact of the transition to ICD-10 and ICD-10-CM/PCS

Objectives

The United States transitioned to the tenth version of the International Classification of Diseases (ICD) system (ICD-10) for mortality coding in 1999 and to the International Classification of Diseases, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS) on October 1, 2015. The purpose of this study was to conduct a narrative literature review to better understand the impact of the implementation of ICD-10/ICD-10-CM/PCS.

Materials and Methods

We searched English-language articles in PubMed, Web of Science, and Business Source Complete and reviewed websites of relevant professional associations, government agencies, research groups, and ICD-10 news aggregators to identify literature on the impact of the ICD-10/ICD-10-CM/PCS transition. We used Google to search for additional gray literature and used handsearching of the references of the most on-target articles to help ensure comprehensiveness.

Results

Impact areas reported in the literature include: productivity and staffing, costs, reimbursement, coding accuracy, mapping between ICD versions, morbidity and mortality surveillance, and patient care. With the exception of morbidity and mortality surveillance, quantitative studies describing the actual impact of the ICD-10/ICD-10-CM/PCS implementation were limited and much of the literature was based on the ICD-10-CM/PCS transition rather than the earlier conversion to ICD-10 for mortality coding.

Discussion

This study revealed several gaps in the literature that limit the ability to draw reliable conclusions about the overall impact, positive or negative, of moving to ICD-10/ICD-10-CM/PCS in the United States.

Conclusion

These knowledge gaps present an opportunity for future research and knowledge sharing and will be important to consider when planning for ICD-11.

Mapping from the International Classification of Diseases (ICD) 9th to 10th Revision for Research in Biologics and Biosimilars Using Administrative Healthcare Data

PURPOSE

The Centers for Medicare and Medicaid Services (CMS) mandated the transition from ICD-9 to ICD-10 codes on October 1, 2015. Postmarketing surveillance of newly marketed drugs, including novel biologics and biosimilars, requires a robust approach to convert ICD-9 to ICD-10 codes for study variables. We examined three mapping methods for health conditions (HCs) of interest to the Biologics and Biosimilars Collective Intelligence Consortium (BBCIC) and compared their prevalence.

METHODS

Using CMS General Equivalence Mappings, we applied forward-backward mapping (FBM) to 108 HCs and secondary mapping (SM) and tertiary mapping (TM) to seven preselected HCs. A physician reviewed the mapped ICD-10 codes. The prevalence of the 108 HCs defined by ICD-9 versus ICD-10 codes was examined in BBCIC's distributed research network (September 1, 2012 to March 31, 2018). We visually assessed prevalence trends of these HCs and applied a threshold of 20% level change in ICD-9 versus ICD-10 prevalence.

RESULTS

Nearly four times more ICD-10 codes were mapped by SM and TM than FBM, but most were irrelevant or nonspecific. For conditions like myocardial infarction, SM or TM did not generate additional ICD-10 codes. Through visual inspection, one-fifth of the HCs had inconsistent ICD-9 versus ICD-10 prevalence trends. 13% of HCs had a level change greater than +/-20%.

CONCLUSION

FBM is generally the most efficient way to convert ICD-9 to ICD-10 codes, yet manual review of converted ICD-10 codes is recommended even for FBM. The lack of existing guidance to compare the performance of ICD-9 with ICD-10 codes led to challenges in empirically determining the quality of conversions.

A Validation Study: How Predictive Is a Diagnostic Coding Algorithm at Identifying Rheumatic Heart Disease in Western Australian Hospital Data?

BACKGROUND

International Classification of Diseases codes for rheumatic heart disease (RHD) (ICD-10 I05-I08) include valvular heart disease of unspecified origin, limiting their usefulness for estimating RHD burden. An expert opinion-based algorithm was developed to increase their accuracy for epidemiological case ascertainment. The algorithm included codes not defaulting to RHD ('probable') plus selected codes pertaining to mitral valve involvement in patients <60 years ('possible'). We aimed to determine the positive predictive value (PPV) for RHD of algorithm-selected hospital admissions.

METHODS

Chart reviews of RHD-coded admissions (n=368) to Western Australian tertiary hospitals (2009-2016) authenticated RHD diagnosis. We selected all cases with algorithm-positive codes from populations at high-risk of RHD and an age-stratified random sample from low-risk groups. RHD status was determined from echocardiographic reports or clinical diagnosis in charts. PPVs were compared by population risk status (high-risk/low-risk), age group, gender, principal/secondary diagnosis and probable/possible codes.

RESULTS

High-risk patients had higher PPVs than low-risk patients (83.8% vs 54.9%, p<0.0001). PPVs were 91.5% and 51.5% respectively for algorithm-defined 'probable RHD' and 'possible' codes (p<0.0001). The PPVs in low-risk patients were higher for principal diagnoses than secondary diagnoses (84.5% vs 44.8%, weighted p<0.0001) but were similar in high-risk patients (92.5% vs 81.7%, p=0.096).

CONCLUSION

The algorithm performs well for RHD coded as a principal diagnosis, 'probable' codes or in populations at high risk of RHD. Refinement is needed for identifying true RHD in low-risk groups.

Comparison of Clinical Trials and Administrative Claims to Identify Stroke Among Patients Undergoing Aortic Valve Replacement: Findings From the EXTEND Study

BACKGROUND

Cerebrovascular events (CVEs) are devastating complications after aortic valve replacement. We assessed whether billing claims accurately identify CVEs in place of clinical event adjudication in structural heart disease trials.

METHODS

Adult participants in the US CoreValve High Risk and SURTAVI trials (Surgical or Transcatheter Aortic-Valve Replacement in Intermediate-Risk Patients) were linked to Medicare inpatient claims from January 1, 2006 to December 31, 2016. Claims consistent with CVEs within 14 days of a similar trial-adjudicated CVE were considered a match. The sensitivity, specificity, and positive and negative predictive values of International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification billing codes for cerebrovascular disease were determined against trial-defined CVEs as the criterion standard. Kaplan-Meier estimates of claims-defined versus trial-defined CVEs were compared.

RESULTS

Among 4230 linked trial participants (linkage rate 79.8%), 550 (13.0%) sustained 630 adjudicated CVEs over a 5-year follow-up period. Linked and nonlinked individuals were similar. An algorithm using 4 International Classification of Diseases, Ninth Revision, Clinical Modification codes (434.91, 434.11, 433.11, and 997.02) had a sensitivity of 60.9%, specificity of 99.0%, positive predictive value of 86.5%, and negative predictive value of 95.8% for identifying a trial-adjudicated ischemic stroke. An algorithm using 3 International Classification of Diseases, Tenth Revision, Clinical Modification codes (I63.9, I63.40, I63.49) had a sensitivity of 66.7%, specificity of 99.4%, positive predictive value of 88.9%, and negative predictive value of 97.6%.

CONCLUSIONS

In linked clinical trial and Medicare claims data, 4 International Classification of Diseases, Ninth Revision, Clinical Modification and 3 International Classification of Diseases, Tenth Revision, Clinical Modification billing codes identified half of trial-adjudicated CVEs during follow-up with high specificity and predictive value, but imperfect sensitivity. Although low sensitivity may limit the use of claims to substitute for traditional trial outcomes to identify CVEs, high specificity suggests claims could be used to trigger evaluation of neurological events, potentially improving the efficiency of the evaluation of techniques and devices designed to reduce such events.

Hypogonadotrophic hypogonadism, delayed puberty and risk for neurodevelopmental disorders

Hypogonadotrophic hypogonadism (HH) is a rare disorder that manifests absent puberty and infertility. Genetic syndromes with hypogonadism, such as Klinefelter syndrome, are associated with an increased risk of neurodevelopmental disorders (NDDs). However, it is not clear whether patients with HH or transient delayed puberty in general, have an increased risk of NDDs. We performed a register-based study on a national cohort of 264 patients with HH and 7447 patients diagnosed with delayed puberty that was matched with 2640 and 74 470 controls, respectively. The outcome was defined as having any of the following NDD diagnoses: (i) autism spectrum disorder (ASD); (ii) attention deficit hyperactivity disorder (ADHD); or (iii) intellectual disability (ID). Additional sensitivity analyses were performed to control for different parental and birth variables, as well as diagnosed malformation syndromes and chromosomal anomalies (ie, Down's and Turner syndromes). Patients with HH had increased risk for being diagnosed with ASD (odds ratio [OR] = 5.7; 95% confidence interval [CI] = 2.6-12.6), ADHD (OR = 3.0; 95% CI = 1.8-5.1) and ID (OR = 18.0; 95% CI = 8.9-36.3) compared to controls. Patients with delayed puberty also had a significantly increased risk of being diagnosed with an NDD. These associations remained significant after adjustments. This is the first study to demonstrate a significant association between HH, delayed puberty and NDDs in a population-based cohort. Clinicians should be aware of the overlap between these disorders. Further studies should explore the mechanisms behind these associations.

Validating Publicly Available Crosswalks for Translating ICD-9 to ICD-10 Diagnosis Codes for Cardiovascular Outcomes Research

Background On October 1, 2015, the Center for Medicare and Medicaid Services transitioned from the International Classification of Diseases, Ninth Revision ( ICD-9) to the ICD, Tenth Revision ( ICD-10) compendium of codes for diagnosis and billing in health care, but translation between the two is often inexact. Here we describe a validated crosswalk to translate ICD-9 codes into ICD-10 codes, with a focus on complications after carotid revascularization and endovascular aortic aneurysm repair. Methods and Results We devised an 8-step process to derive and validate ICD-10 codes from existing ICD-9 codes. We used publicly available sources, including the General Equivalence Mapping database, to translate ICD-9 codes used in prior work to ICD-10 codes. We defined ICD-10 codes as validated if they were concordant with the initial ICD-9 codes after manual comparison by two physicians. Our primary validation measure was the percent of valid ICD-10 codes out of the total ICD-10 codes obtained during translation. We began with 126 ICD-9 diagnosis codes used for complication identification after carotid revascularization procedures, and 97 ICD-9 codes for complications after endovascular aortic aneurysm procedures. Translation generated 143 ICD-10 codes for carotid revascularization, a 14% increase from the initial 126 codes. Manual comparison demonstrated 98% concordance, with 99% agreement between the reviewers. Similarly, we identified 108 ICD-10 codes for endovascular aortic aneurysm repair, an 11% increase from the initial 97 ICD-9 codes. We again noted excellent concordance and agreement (98% and 100%, respectively). Manual review identified 4 ICD-10 codes incorrectly translated from ICD-9 codes for carotid revascularization, and 3 codes incorrectly translated for endovascular aortic aneurysm repair. Conclusions Algorithms to crosswalk lists of ICD-9 codes to ICD-10 codes can leverage electronic resources to minimize the burden of code translation. However, manual review for code validation may be necessary, with collaboration across institutions for researchers to share their efforts.

Identifying and Codifying Complications after Radical Cystectomy: Comparison of Administrative Diagnostic and Procedure Codes, and Clinical Chart Review

PURPOSE

To our knowledge the reliability of administrative claims codes to report postoperative radical cystectomy complications has not been examined. We compared complications identified by claims data to those abstracted from clinical chart review following radical cystectomy.

METHODS

We manually reviewed the charts of 268 patients treated with radical cystectomy between 2014 and 2016 for 30-day complications and queried administrative complication coding using 805 ICD-9/10 codes. Complications were categorized. Using Cohen κ statistics we assessed agreement between the 2 methods of complication reporting for 1 or more postoperative complications overall, categorical complications and complications stratified by the top quartile length of hospital stay and patients who were readmitted.

RESULTS

At least 1 or more complications were recorded in 122 patients (45.5%) through manual chart review and 80 (29.9%) were recorded via claim coding data with a concordance rate of κ=0.16, indicating weak agreement. Concordance was generally weak for categorical complication rates (range 0.05 to 0.36). However, when examining only the top length of stay quartile, 1 or more complications were reported in 32 patients (65%) by the manual chart review and in 12 (25%) via coding data with a concordance rate of κ=-0.2. Agreement was weak, similar to the total cohort.

CONCLUSIONS

Manual chart review and claim code identification of complications are not highly concordant even when stratified by patients with an extended length of stay, who are known to have more frequent complications. Researchers and administrators should be aware of these differences and exercise caution when interpreting complication reports.

Forensic Implications of the New Classification of ICD-11 Paraphilic Disorders in Brazil

INTRODUCTION

The World Health Organization (WHO) Department of Mental Health and Substance Abuse appointed a Working Group on Sexual Disorders and Sexual Health in order to revise and propose changes to ICD-10 categories.

AIM

Analyze ethical and legal implications in Brazil of the proposed ICD-11 diagnostic criteria for paraphilic disorders.

METHODS

A forensic working group of Brazilian experts in collaboration with representatives of WHO reviewed the proposed modifications to the classification of Disorders of Sexual Preference in ICD-10 (F65), which is recommended to be replaced by Paraphilic Disorders in ICD-11. Proposals were reviewed through a medicolegal lens, using a legal and policy analysis guide put forth by WHO. The premise of this review was to understand that, although the ICD classification is intended to provide a basis for clinical and statistical health interventions, medical diagnostics may also be entangled in the complex legal, normative, and political environment of various countries.

MAIN OUTCOME MEASURE

The most important proposed change to this section is to limit the concept of paraphilic disorders primarily to patterns of sexual arousal involving a focus on others who are unwilling or unable to consent, but this change has not affected the ethical and legal aspects of psychiatric functioning in the Brazil.

RESULTS

Because Brazilian criminal law is directed toward criminal behavior and not to specific psychiatric diagnoses, the changes proposed for ICD-11 are not expected to create obstacles to health services or to modify criminal sentencing.

CLINICAL IMPLICATIONS

Although ICD-11 has a number of changes in its content, there are no significant clinical implications in the Brazilian context, but a better clarity of conceptual definitions and diagnostic criteria.

STRENGTHS & LIMITATIONS

The study is conducted with people from different Brazilian states, which is important for a comprehensive view. On the other hand, considering that it is a very heterogeneous country, there is the limitation that an even wider scope of the study is not possible.

CONCLUSION

In the Brazilian context, the new guidelines for paraphilic disorders contribute to clinical utility and are not expected to create difficulties related to the legal, social, and economic consequences of sexual offenses in the country. Abdalla-Filho E, de Jesus Mari J, Diehl A, et al. Forensic Implications of the New Classification of ICD-11 Paraphilic Disorders in Brazil. J Sex Med 2019; 16:1814-1819.

Using SNOMED-CT to Help the Transition from Microbiological Data to ICD-10 Sepsis Codes

Assigning ICD-10 code of sepsis in regard of a pathogenic bacterium found in an haemoculture requires knowledge of microbiology because of the difference of granularity. The aim of this paper is to automate this coding thanks to the use of SNOMED-CT. A dichotomous classification of bacteria causing sepsis has been generated in respect of ICD-10. Our algorithm follows this and explores SNOMED-CT to assign the right ICD-10 code of the sepsis. Applied to a list of 164 bacteria, the system has an error rate of 1.22 %.

Acute Kidney Injury and In-Hospital Mortality: A Retrospective Analysis of a Nationwide Administrative Database of Elderly Subjects in Italy

Background: The aim of this study was to investigate the association between acute kidney injury (AKI) and in-hospital mortality (IHM) in a large nationwide cohort of elderly subjects in Italy. Methods: We analyzed the hospitalization data of all patients aged ≥65 years, who were discharged with a diagnosis of AKI, which was identified by the presence of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), and extracted from the Italian Health Ministry database (January 2000 to December 2015). Data regarding age, gender, dialysis treatment, and comorbidity, including the development of sepsis, were also collected. Results: We evaluated 760,664 hospitalizations, the mean age was 80.5 ± 7.8 years, males represented 52.2% of the population, and 9% underwent dialysis treatment. IHM was 27.7% (210,661 admissions): Deceased patients were more likely to be older, undergoing dialysis treatment, and to be sicker than the survivors. The population was classified on the basis of tertiles of comorbidity score (the first group 7.48 ± 1.99, the second 13.67 ± 2,04, and third 22.12 ± 4.13). IHM was higher in the third tertile, whilst dialysis-dependent AKI was highest in the first. Dialysis-dependent AKI was associated with an odds ratios (OR) of 2.721; 95% confidence interval (CI) 2.676–2.766; p < 0.001, development of sepsis was associated with an OR of 1.990; 95% CI 1.948–2.033; p < 0.001, the second tertile of comorbidity was associated with an OR of 1.750; 95% CI 1.726–1.774; p < 0.001, and the third tertile of comorbidity was associated with an OR of 2.522; 95% CI 2.486–2.559; p < 0.001. Conclusions: In elderly subjects with AKI discharge codes, IHM is a frequent complication affecting more than a quarter of the investigated population. The increasing burden of comorbidity, dialysis-dependent AKI, and sepsis are the major risk factors.