Diagnostic Category Prevalence in 3 Classification Systems Across the Transition to the International Classification of Diseases, Tenth Revision, Clinical Modification

Understanding disparities in cardiovascular death rates among older adults with sick sinus syndrome in the US

Background

Sick sinus syndrome (SSS) increases with age, and approximately one in 600 patients above 65 develop this condition. In this study, the authors assessed trends in mortality related to SSS among older adults ≥65 years of age in the United States from 1999 to 2019.

Methods

Trends in cardiovascular mortality related to SSS were identified by analyzing the data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, where cardiovascular deaths were listed as the underlying cause of death and SSS was listed as the contributing cause of death between 1999 and 2019. Age-adjusted mortality rates (AAMR) per 1,000,000 population were determined.

Results

Between 1999 and 2019, a total of 41,615 SSS-related deaths occurred in older adults. Of these, 17,466 (41.9%) were men and 24,149 (58.1%) were women. Although a decline in cardiovascular mortality related to SSS was apparent from 1999 to 2014, a steep rise was noted from 2014 to 2019 [Annual Percentage Change (APC): 2.9%; 95% CI, 1.5-5.7]. Overall AAMRs were highest among White men (AAMR: 55.8; 95% CI, 54.9-56.6), followed by Black men (AAMR: 44.8; 95% CI, 42-47.6), White women (AAMR: 43.3; 95% CI, 42.8-43.9), and Black women (AAMR: 39.4; 95% CI, 37.6-41.2). Rural dwellers had higher AAMRs compared to urban dwellers. Notably, rural dwellers had a period of stability between 2014 and 2019, while an increase in mortality was apparent among urban dwellers during this period. Lastly, states in the 90th percentile displayed approximately two fold higher AAMR compared to those in the bottom 10th percentile.

Conclusion

Sick sinus syndrome-related mortality trends have shown a steady rise from 2014 to 2019. Moreover, NH White adults, rural dwellers, and individuals residing in the states among the 90th percentile demonstrated significantly higher AAMRs. Thus, further investigations and actions are required to reverse these rising trends.

Trends in the Utilization of Multiorgan Support Among Adults Undergoing High-risk Cardiac Surgery in the United States

OBJECTIVES

To examine trends in the prevalence of multiorgan dysfunction (MODS), utilization of multi-organ support (MOS), and mortality among patients undergoing cardiac surgery with MODS who received MOS in the United States.

DESIGN

Retrospective cohort study.

SETTING

183 hospitals in the Premier Healthcare Database.

PARTICIPANTS

Adults ≥18 years old undergoing high-risk elective or non-elective cardiac surgery.

INTERVENTIONS

none.

MEASUREMENTS AND MAIN RESULTS

The exposure was time (consecutive calendar quarters) January 2008 and June 2018. We analyzed hospital data using day-stamped hospital billing codes and diagnosis and procedure codes to assess MODS prevalence, MOS utilization, and mortality. Among 129,102 elective and 136,190 non-elective high-risk cardiac surgical cases across 183 hospitals, 10,001 (7.7%) and 21,556 (15.8%) of patients developed MODS, respectively. Among patients who experienced MODS, 2,181 (22%) of elective and 5,425 (25%) of non-elective cardiac surgical cases utilized MOS. From 2008-2018, MODS increased in both high-risk elective and non-elective cardiac surgical cases. Similarly, MOS increased in both high-risk elective and non-elective cardiac surgical cases. As a component of MOS, mechanical circulatory support (MCS) increased over time. Over the study period, risk-adjusted mortality, in patients who developed MODS receiving MOS, increased in high-risk non-elective cardiac surgery and decreased in high-risk elective cardiac surgery, despite increasing MODS prevalence and MOS utilization (p<0.001).

CONCLUSIONS

Among patients undergoing high-risk cardiac surgery in the United States, MODS prevalence and MOS utilization (including MCS) increased over time. Risk-adjusted mortality trends differed in elective and non-elective cardiac surgery. Further research is necessary to optimize outcomes among patients undergoing high-risk cardiac surgery.

A Novel Machine Learning Algorithm for Creating Risk-Adjusted Payment Formulas

Importance

Models predicting health care spending and other outcomes from administrative records are widely used to manage and pay for health care, despite well-documented deficiencies. New methods are needed that can incorporate more than 70 000 diagnoses without creating undesirable coding incentives.

Objective

To develop a machine learning (ML) algorithm, building on Diagnostic Item (DXI) categories and Diagnostic Cost Group (DCG) methods, that automates development of clinically credible and transparent predictive models for policymakers and clinicians.

Design, Setting, and Participants

DXIs were organized into disease hierarchies and assigned an Appropriateness to Include (ATI) score to reflect vagueness and gameability concerns. A novel automated DCG algorithm iteratively assigned DXIs in 1 or more disease hierarchies to DCGs, identifying sets of DXIs with the largest regression coefficient as dominant; presence of a previously identified dominating DXI removed lower-ranked ones before the next iteration. The Merative MarketScan Commercial Claims and Encounters Database for commercial health insurance enrollees 64 years and younger was used. Data from January 2016 through December 2018 were randomly split 90% to 10% for model development and validation, respectively. Deidentified claims and enrollment data were delivered by Merative the following November in each calendar year and analyzed from November 2020 to January 2024.

Main Outcome and Measures

Concurrent top-coded total health care cost. Model performance was assessed using validation sample weighted least-squares regression, mean absolute errors, and mean errors for rare and common diagnoses.

Results

This study included 35 245 586 commercial health insurance enrollees 64 years and younger (65 901 460 person-years) and relied on 19 clinicians who provided reviews in the base model. The algorithm implemented 218 clinician-specified hierarchies compared with the US Department of Health and Human Services (HHS) hierarchical condition category (HCC) model's 64 hierarchies. The base model that dropped vague and gameable DXIs reduced the number of parameters by 80% (1624 of 3150), achieved an R2 of 0.535, and kept mean predicted spending within 12% ($3843 of $31 313) of actual spending for the 3% of people with rare diseases. In contrast, the HHS HCC model had an R2 of 0.428 and underpaid this group by 33% ($10 354 of $31 313).

Conclusions and Relevance

In this study, by automating DXI clustering within clinically specified hierarchies, this algorithm built clinically interpretable risk models in large datasets while addressing diagnostic vagueness and gameability concerns.

Trends in sleep apnea and heart failure related mortality in the United States from 1999 to 2019

National estimates of deaths related to both heart failure (HF) and sleep apnea (SA) are not known. We evaluated the trends in HF and SA related mortality using the CDC-WONDER database in adults aged ≥25 years in the US. All deaths related to HF and SA as contributing or underlying causes of death were queried. Between 1999 and 2019, there were a total of 6,484,486 deaths related to HF, 204,824 deaths related to SA, and 53,957 deaths related to both. There was a statistically significant increase in the age-adjusted mortality rate (AAMR) for both SA-related (average annual percent change [AAPC] 8.2%) and combined HF and SA- related (AAPC 10.1 %) deaths. Men had consistently higher AAMRs compared with women, and both groups had a similar increasing trend in AAMR. Non-Hispanic (NH) Black individuals had the highest HF and SA-related AAMR, followed by NH White and Hispanic/Latino individuals. Adults aged >75 years consistently had the highest AAMR with the steepest increase (AAPC 11.1%). In conclusion, HF and SA-related mortality has significantly risen over the past two decades with the elderly, men, and NH Black at disproportionately higher risk.

Using a severity threshold to improve occupational injury surveillance: Assessment of a severe traumatic injury-based occupational health indicator across the International Classification of Diseases lexicon transition

BACKGROUND

Traumatic injury is a leading cause of death and disability among US workers. Severe injuries are less subject to systematic ascertainment bias related to factors such as reporting barriers, inpatient admission criteria, and workers' compensation coverage. A state-based occupational health indicator (OHI #22) was initiated in 2012 to track work-related severe traumatic injury hospitalizations. After 2015, OHI #22 was reformulated to account for the transition from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM. This study describes rates and trends in OHI #22, alongside corresponding metrics for all work-related hospitalizations.

METHODS

Seventeen states used hospital discharge data to calculate estimates for calendar years 2012-2019. State-panel fixed-effects regression was used to model linear trends in annual work-related hospitalization rates, OHI #22 rates, and the proportion of work-related hospitalizations resulting from severe injuries. Models included calendar year and pre- to post-ICD-10-CM transition.

RESULTS

Work-related hospitalization rates showed a decreasing monotonic trend, with no significant change associated with the ICD-10-CM transition. In contrast, OHI #22 rates showed a monotonic increasing trend from 2012 to 2014, then a significant 50% drop, returning to a near-monotonic increasing trend from 2016 to 2019. On average, OHI #22 accounted for 12.9% of work-related hospitalizations before the ICD-10-CM transition, versus 9.1% post-transition.

CONCLUSIONS

Although hospital discharge data suggest decreasing work-related hospitalizations over time, work-related severe traumatic injury hospitalizations are apparently increasing. OHI #22 contributes meaningfully to state occupational health surveillance efforts by reducing the impact of factors that differentially obscure minor injuries; however, OHI #22 trend estimates must account for the ICD-10-CM transition-associated structural break in 2015.

Paying for Medical and Social Complexity in Massachusetts Medicaid

Importance

The first MassHealth Social Determinants of Health payment model boosted payments for groups with unstable housing and those living in socioeconomically stressed neighborhoods. Improvements were designed to address previously mispriced subgroups and promote equitable payments to MassHealth accountable care organizations (ACOs).

Objective

To develop a model that ensures payments largely follow observed costs for members with complex health and/or social risks.

Design, Setting, and Participants

This cross sectional study used administrative data for members of the Massachusetts Medicaid program MassHealth in 2016 or 2017. Participants included members who were eligible for MassHealth's managed care, aged 0 to 64 years, and enrolled for at least 183 days in 2017. A new total cost of care model was developed and its performance compared with 2 earlier models. All models were fit to 2017 data (most recent available) and validated on 2016 data. Analyses were begun in February 2019 and completed in January 2023.

Exposures

Model 1 used age-sex categories, a diagnosis-based morbidity relative risk score (RRS), disability, serious mental illness, substance use disorder, housing problems, and neighborhood stress. Model 2 added an interaction for unstable housing with RRS. Model 3 added rurality and updated diagnosis-based RRS, medication-based RRS, and interactions between sociodemographic characteristics and morbidity.

Main Outcome and Measures

Total 2017 annual cost was modeled and overall model performance (R2) and fair pricing of subgroups evaluated using observed-to-expected (O:E) ratios.

Results

Among 1 323 424 members, mean (SD) age was 26.4 (17.9) years, 53.4% were female (46.6% male), and mean (SD) 2017 cost was $5862 ($15 417). The R2 for models 1, 2, and 3 was 52.1%, 51.5%, and 60.3%, respectively. Earlier models overestimated costs for members without behavioral health conditions (O:E ratios 0.94 and 0.93 for models 1 and 2, respectively) and underestimated costs for those with behavioral health conditions (O:E ratio >1.10); model 3 O:E ratios were near 1.00. Model 3 was better calibrated for members with housing problems, those with children, and those with high morbidity scores. It reduced underpayments to ACOs whose members had high medical and social complexity. Absolute and relative model performance were similar in 2016 data.

Conclusions and Relevance

In this cross-sectional study of data from Massachusetts Medicaid, careful modeling of social and medical risk improved model performance and mitigated underpayments to safety-net systems.

Demographic and Regional Trends of Cardiovascular Diseases and Diabetes Mellitus-Related Mortality in the United States From 1999 to 2019

OBJECTIVE

The purpose of this research was to study the contemporary trends in cardiovascular disease (CVD) and diabetes mellitus (DM)-related mortality.

METHODS

We used the Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) database to identify adults ≥25 years old where both CVD and DM were listed as an underlying or contributing cause of death between 1999 and 2019. Crude and age-adjusted mortality rates per 100,000 population were determined.

RESULTS

The overall age-adjusted mortality rate was 99.18 in 1999 and 91.43 in 2019, with a recent increase from 2014-2019 (annual percent change 1.0; 95% confidence interval [CI], 0.3-1.6). Age-adjusted mortality rate was higher for males compared with females, with increasing mortality in males between 2014 and 2019 (annual percent change 1.5; 95% CI, 0.9-2.0). Age-adjusted mortality rate was highest for non-Hispanic Black adults and was ∼2-fold higher compared with non-Hispanic White adults. Young and middle-aged adults (25-69 years) had increasing age-adjusted mortality rates in recent years. There were significant urban-rural disparities, and age-adjusted mortality rates in rural counties increased from 2014 to 2019 (annual percent change 2.2; 95% CI, 1.5-2.9); states in the 90^th percentile of mortality had age-adjusted mortality rates that were ∼2-fold higher than those in the bottom 10^th percentile of mortality.

CONCLUSION

After an initial decrease in DM + CVD-related mortality for a decade, this trend has reversed, with increasing mortality from 2014 to 2019. Significant geographic and demographic disparities persist, requiring targeted health policy interventions to prevent the loss of years of progress.

Willingness to Pay for Down Syndrome Screening: A systematics Review

Background:Financial ability to pay has a unique role in the accessibility of health care services, which indicates the necessity of raising enough funds by governments. However, how much households are willing to pay (WTP) for receiving a particular service? And what factors influence their WTP? The current systematic review aimed to, firstly, review studies on the WTP for Down syndrome (DS) screening, and, secondly, to identify factors that affect WTP for DS screening. Methods:We systematically searched the Scopus, PubMed, Web of Sciences (ISI), and Embase databases to identify relevant studies from their inception to June 2020; the search strategy was updated on December 2021. Initially, 157 articles were identified, and 5 were found eligible for full-text review. In event of any disagreement, a third reviewer was used. Extracted WTPs were converted to US dollars in 2018 using exchange rate parity and the present value formula to make a comparison. The quality assessment of the selected studies was done using the "Lancsar and Louvier" and Smith checklist; also, vote counting was used to assess the influence of factors. Results:Five eligible studies, published from 2005 to 2020, were fully reviewed. All final studies were scored as good quality. The extracted WTPs varied from $169 to $1118 in UK and Canada, respectively. Income and information/knowledge about screening tests were the most frequently investigated factors. Education level, detection rate, women's age, cost, and family history were significantly associated with higher levels of WTP for DS screening. Conclusion:This study demonstrated a significant gap in WTP for DS screening in various countries. Women are WTP higher costs for tests with higher screenings. Also, a unique role was identified for income, occupation, information, and family history of DS in WTP for DS screening. In addition, a positive association was found for the variable of age.

Trends in psychiatric diagnoses by COVID-19 infection and hospitalization among patients with and without recent clinical psychiatric diagnoses in New York city from March 2020 to August 2021

Determining emerging trends of clinical psychiatric diagnoses among patients infected with the SARS-CoV-2 virus is important to understand post-acute sequelae of SARS-CoV-2 infection or long COVID. However, published reports accounting for pre-COVID psychiatric diagnoses have usually relied on self-report rather than clinical diagnoses. Using electronic health records (EHRs) among 2,358,318 patients from the New York City (NYC) metropolitan region, this time series study examined changes in clinical psychiatric diagnoses between March 2020 and August 2021 with month as the unit of analysis. We compared trends in patients with and without recent pre-COVID clinical psychiatric diagnoses noted in the EHRs up to 3 years before the first COVID-19 test. Patients with recent clinical psychiatric diagnoses, as compared to those without, had more subsequent anxiety disorders, mood disorders, and psychosis throughout the study period. Substance use disorders were greater between March and August 2020 among patients without any recent clinical psychiatric diagnoses than those with. COVID-19 positive patients (both hospitalized and non-hospitalized) had greater post-COVID psychiatric diagnoses than COVID-19 negative patients. Among patients with recent clinical psychiatric diagnoses, psychiatric diagnoses have decreased since January 2021, regardless of COVID-19 infection/hospitalization. However, among patients without recent clinical psychiatric diagnoses, new anxiety disorders, mood disorders, and psychosis diagnoses increased between February and August 2021 among all patients (COVID-19 positive and negative). The greatest increases were anxiety disorders (378.7%) and mood disorders (269.0%) among COVID-19 positive non-hospitalized patients. New clinical psychosis diagnoses increased by 242.5% among COVID-19 negative patients. This study is the first to delineate the impact of COVID-19 on different clinical psychiatric diagnoses by pre-COVID psychiatric diagnoses and COVID-19 infections and hospitalizations across NYC, one of the hardest-hit US cities in the early pandemic. Our findings suggest the need for tailoring treatment and policies to meet the needs of individuals with pre-COVID psychiatric diagnoses.

Demographic and Regional Trends of Heart Failure-Related Mortality in Young Adults in the US, 1999-2019

Importance

There are limited data on mortality trends in young adults with heart failure (HF).

Objective

To study the trends in HF-related mortality among young adults.

Design, Setting, and Participants

This retrospective cohort analysis used mortality data of young adults aged 15 to 44 years with HF listed as a contributing or underlying cause of death in the US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database from January 1999 to December 2019. Analysis took place in October 2021.

Exposures

Age 15 to 44 years with HF listed as a contributing or underlying cause of death.

Main Outcomes and Measures

HF-related age-adjusted mortality rates (AAMR) per 100 000 US population stratified by sex, race and ethnicity, and geographic areas.

Results

Between 1999 and 2019, a total of 61 729 HF-related deaths occurred in young adults. Of these, 38 629 (62.0%) were men and 23 460 (38.0%) were women, and 22 156 (35.9%) were Black, 6648 (10.8%) were Hispanic, and 30 145 (48.8%) were White. The overall AAMR per 100 000 persons for HF in young adults increased from 2.36 in 1999 to 3.16 in 2019. HF mortality increased in young men and women, with men having higher AAMRs throughout the study period. AAMR increased for all race and ethnicity groups, with Black adults having the highest AAMRs (6.41 in 1999 and 8.58 in 2019). AAMR for Hispanic adults and White adults increased from 1.62 to 2.04 and 1.83 to 2.45 over the same time period, respectively. Across most demographic and regional subgroups, HF-related mortality stayed stable or decreased between 1999 and 2012, followed by an increase between 2012 and 2019. There were significant regional differences in the burden of HF-related mortality, with states in the upper 90th percentile of HF-related mortality (Oklahoma, South Carolina, Louisiana, Arkansas, Alabama, and Mississippi) having a significantly higher mortality burden compared with those in the bottom tenth percentile.

Conclusions and Relevance

Following an initial period of stability, HF-related mortality in young adults increased from 2012 to 2019 in the United States. Black adults have a 3-fold higher AAMR compared with White adults, with significant geographic variation. Targeted health policy measures are needed to address the rising burden of HF in young adults, with a focus on prevention, early diagnosis, and reduction in disparities.

Inpatient Diagnosis of Delirium and Encephalopathy: Coding Trends 2011-2018

OBJECTIVES

Ten medical societies have called for scientific literature to integrate research on delirium and encephalopathy, while physicians continually debate how to accurately document diagnoses of acute confusional states. To promote this integration, we evaluated trends in diagnoses of delirium and encephalopathy among hospitalized adults and physician specialties, incorporating transitions to the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) and the International Classification of Disease-10 (ICD-10).

METHODS

Using 2011-2018 IBM MarketScan datasets, we identified delirium/encephalopathy patients ≥ 18 years using ICD-9/10 codes among hospitalized patients. We identified physician specialties associated with the hospitalization and comorbidities within one year prior to the diagnosis of delirium or encephalopathy. Log-binomial models were used to evaluate diagnostic trends, adjusting for age, gender, insurance and comorbidities.

RESULTS

We identified 10,509 hospitalized patients with diagnosis of delirium and 94,438 with encephalopathy between 2011-2018. Although the number of patients with either diagnosis increased over time, increased use of delirium diagnosis was less than it was for encephalopathy compared to 2011 after adjusting for covariates (ARR 0.45; 95% CI 0.43 to 0.48). During the 8 years, neurologists and internists increased their use of both diagnoses, whereas psychiatrists only increased their use of delirium. Family practice physicians and nurse practitioners presented no significant change in either diagnosis for this timeframe.

CONCLUSIONS

Our results suggest that refined diagnostic codes and criteria may alter trends among clinicians in diagnosing delirium and/or encephalopathy. Additional diagnostic clarity may be necessary to support refined diagnoses among family practice physicians and nurse practitioners.

Epidemiology, Clinical Features, and Prescribing Patterns of Irritable Bowel Syndrome in Taiwan

Background: Understanding the prescribing patterns could better inform irritable bowel syndrome (IBS) management and health policy. However, there is no study on prescribing patterns of IBS in Taiwan. This study was conducted to evaluate the epidemiology, clinical features, and prescribing patterns of IBS in Taiwan.

Methods: This population-based cross-sectional study was performed by retrieving claim data from National Health Insurance Research Database (NHIRD) between 2011 and 2018 in Taiwan. Patients who were diagnosed with IBS during 2012–2018 and more than 20 years old were included. The annual incidence and prevalence of IBS were estimated. The characteristics and prescribing pattern were evaluated among IBS population. The population with IBS were followed from index date until 1 year after or death.

Results: A total of 1691596 patients diagnosed with IBS were identified from 2012 to 2018. The average annual incidence and prevalence of IBS in Taiwan were calculated as 106.54 and 181.75 per 10,000 population. The incidence and prevalence showed a decreasing trend from 2012 to 2018. Hypertension, dyslipidemia, chronic liver disease, peptic ulcer, gastroesophageal reflux disease (GERD), anxiety, and sleep disorder were the prevalent comorbidities in IBS population. At 1 year after IBS diagnosis, the rates of peptic ulcer and GERD; the utilizations of abdominal ultrasonography, upper gastrointestinal (GI) endoscopy, and lower GI endoscopy; the prescribing rate of propulsives, simethicone, antacids, H2-blockers, and proton pump inhibitors significantly increased. Approximately 70% of participants received IBS-related treatment. Antispasmodics was the most frequently prescribed medication class, followed by laxatives and antidiarrheals. Only 48.58% of patients made return visit for IBS at 1 year after IBS diagnosis. Consequently, the proportion of consultation for IBS and the prescribing rates of all medications were decreased considerably after IBS diagnosis.

Conclusion: The incidence and prevalence of IBS showed a decreasing trend from 2012 to 2018. More than two-third of patients received treatment for IBS. Antispasmodics was widely used for IBS management. However, patients may have a short symptom duration or receive a short course of IBS-related treatment in Taiwan. These findings provided the whole picture of the epidemiology and prescribing pattern of the IBS population in Taiwan.

Development and evaluation of standardized pregnancy identification and trimester distribution algorithms in U.S. IBM MarketScan® Commercial and Medicaid data

OBJECTIVES

Creation of new algorithms to identify pregnancies in automated health care claims databases is of public health importance, as it allows us to learn more about medication use and safety in a vulnerable population. Previous algorithms were largely created using international classification of disease codes, but despite the U.S. code transition in 2015, few algorithms are available with the latest ICD-10-CM codes.

METHODS

Using U.S. IBM MarketScan® Commercial Claims and Encounters and Multi-State Medicaid databases for women aged 10-64 years during 2014 and 2016, two pregnancy algorithms (ICD-9-CM and ICD-10-CM) were created using expert clinical review. The algorithms were evaluated by assessing the distribution of pregnancy outcomes (live birth and pregnancy losses) within each time-based cohort and the ability of the algorithms to identify select medication use during pregnancy. Medication exposure, demographics, comorbidities, and pregnancy outcomes were compared to published literature estimates for the two time periods.

RESULTS

For the IBM MarketScan® Commercial database, the algorithms identified 687,228 pregnancies in 2014 and 444,293 in 2016. In the IBM MarketScan® Medicaid database, 389,132 pregnancies in 2014 and 406,418 in 2016 were identified. Percentages of most pregnancy outcomes identified using the algorithms were similar to national data sources; however, percentages of preterm births and pregnancy losses were not comparable. Most medication use estimates from the algorithms were similar to or higher than published estimates.

CONCLUSIONS

By incorporating the latest ICD-10-CM codes, the new algorithms provide more complete estimates of medication use during pregnancy than algorithms using the outdated codes.

Prevalence trends of depression and anxiety symptoms in adults with cardiovascular diseases and diabetes 1995-2019: The HUNT studies, Norway

Background

Symptoms of depression and anxiety are common in adults with cardiovascular diseases (CVDs) and diabetes mellitus (DM). The literature on depression and anxiety in CVDs and DM populations is extensive; however, studies examining these relationships over time, directly compared to adults without these conditions, are still lacking. This study aimed to investigate trends in depression and anxiety symptom prevalence over more than 20 years in adults with CVDs and DM compared to the general population.

Methods

We used data from the population-based Trøndelag Health Study (HUNT), Norway, including adults (≥ 20 years) from three waves; the HUNT2 (1995–97; n = 65,228), HUNT3 (2006–08; n = 50,800) and HUNT4 (2017–19; n = 56,042). Depressive and anxiety symptom prevalence was measured independently by the Hospital Anxiety and Depressions scale (HADS) in sex-stratified samples. We analyzed associations of these common psychological symptoms with CVDs and DM over time using multi-level random-effects models, accounting for repeated measurements and individual variation.

Results

Overall, the CVDs groups reported higher levels of depression than those free of CVDs in all waves of the study. Further, depressive and anxiety symptom prevalence in adults with and without CVDs and DM declined from HUNT2 to HUNT4, whereas women reported more anxiety than men. Positive associations of depression and anxiety symptoms with CVDs and DM in HUNT2 declined over time. However, associations of CVDs with depression symptoms remained over time in men. Moreover, in women, DM was associated with increased depression symptom risk in HUNT2 and HUNT4.

Conclusions

Depression and anxiety symptoms are frequent in adults with CVDs. Further, our time trend analysis indicates that anxiety and depression are differentially related to CVDs and DM and sex. This study highlights the importance of awareness and management of psychological symptoms in CVDs and DM populations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40359-021-00636-0.

Trends in Comorbidities and Complications Using ICD-9 and ICD-10 in Total Hip and Knee Arthroplasties

BACKGROUND

The transition to the new ICD-10 (International Classification of Diseases, Tenth Revision) coding system in the U.S. poses challenges to the ability to consistently and accurately measure trends in comorbidities and complications. We examined the prevalence of comorbidities and postoperative medical complications before and after the transition from ICD-9 to ICD-10 among patients who underwent primary total hip or knee arthroplasty (THA or TKA). We hypothesized that the transition to ICD-10 codes was associated with discontinuity and slope change in comorbidities and medical complications.

METHODS

The Elixhauser comorbidities and medical complications were identified using the Premier Healthcare database from fiscal year (FY)2011 to FY2018. Using multivariable segmented regression models, we examined the changes in the levels and slopes after the transition from ICD-9 to ICD-10 coding. Odds ratios (ORs) of <1 and >1 indicate decreases and increases, respectively, in levels and slopes.

RESULTS

Overall, 2,006,581 patients who underwent primary THA or TKA were identified. The mean age was 65.9 ± 10.5 years, and the median length of the hospital stay was 2 days (interquartile range [IQR], 2 to 3 days). Of the comorbidities studied, congestive heart failure, hypertension, and obesity had a statistically significant but clinically small discontinuity after the transition from ICD-9 to ICD-10 coding. Of the complications, pneumonia (OR = 0.66, 95% confidence interval [CI] = 0.48 to 0.90), acute respiratory failure (OR = 1.88, 95% CI = 1.52 to 2.33), sepsis (OR = 2.54, 95% CI = 1.45 to 4.44), and urinary tract infection (OR = 1.79, 95% CI = 1.32 to 2.42) demonstrated statistically significant discontinuity. Alcohol abuse and paralysis had an increasing prevalence before the ICD transition, followed by a decreasing prevalence after the transition. In contrast, metastatic cancer, weight loss, and acquired immunodeficiency syndrome (AIDS) showed a decreasing prevalence before the ICD transition followed by an increasing prevalence after the transition. Generally, complications showed a decreasing prevalence over time.

CONCLUSIONS

The discontinuities after the transition from ICD-9 to ICD-10 coding were relatively small for most comorbidities. Medical complications generally showed a decreasing trend over the quarters studied. These findings support caution when conducting joint replacement studies that rely on ICD coding and include the ICD coding transition period.

Intermittent claudication treatment patterns in the commercially insured non-Medicare population

OBJECTIVE

Despite published guidelines and data for Medicare patients, it is uncertain how younger patients with intermittent claudication (IC) are treated. Additionally, the degree to which treatment patterns have changed over time with the expansion of endovascular interventions and outpatient centers is unclear. Our goal was to characterize IC treatment patterns in the commercially insured non-Medicare population.

METHODS

The IBM MarketScan Commercial Database, which includes more than 8 billion US commercial insurance claims, was queried for patients newly diagnosed with IC from 2007 to 2016. Patient demographics, medication profiles, and open/endovascular interventions were evaluated. Time trends were modeled using simple linear regression and goodness-of-fit was assessed with coefficients of determination (R²). A patient-centered cohort sample and a procedure-focused dataset were analyzed.

RESULTS

Among 152,935,013 unique patients in the database, there were 300,590 patients newly diagnosed with IC. The mean insurance coverage was 4.4 years. The median patients age was 58 years and 56% of patients were male. The prevalence of statin use was 48% among patients at the time of IC diagnosis and increased to 52% among patients after one year from diagnosis. Interventions were performed in 14.3%, of whom 20% and 6% underwent two or more and three or more interventions, respectively. The median time from diagnosis to intervention decreased from 230 days in 2008 days to 49 days in 2016 (R² = 0.98). There were 16,406 inpatient and 102,925 ambulatory interventions for IC over the study period. Among ambulatory interventions, 7.9% were performed in office-based/surgical centers. The proportion of atherectomies performed in the ambulatory setting increased from 9.7% in 2007 to 29% in 2016 (R² = 0.94). In office-based/surgical centers, 57.6% of interventions for IC used atherectomy in 2016. Atherectomy was used in ambulatory interventions by cardiologists in 22.6%, surgeons in 15.2%, and radiologists in 13.6% of interventions. Inpatient atherectomy rates remained stable over the study period. Open and endovascular tibial interventions were performed in 7.9% and 7.8% of ambulatory and inpatient IC interventions, respectively. Tibial bypasses were performed in 8.2% of all open IC interventions.

CONCLUSIONS

There has been shorter time to intervention in the treatment of younger, commercially insured patients with IC, with many receiving multiple interventions. Statin use was low. Ambulatory procedures, especially in office-based/surgical centers, increasingly used atherectomy, which was not observed in inpatient settings.

Racial and ethnic patterns and differences in health care expenditures among Medicare beneficiaries with and without cognitive deficits or Alzheimer's disease and related dementias

BACKGROUND

Numerous studies have documented racial and ethnic differences in the prevalence and incidence of Alzheimer's disease and related dementias (ADRD). Less is known, however, about racial and ethnic differences in health care expenditures among older adults at risk for ADRD (cognitive deficits without ADRD) or with ADRD. In particular, there is limited evidence that racial and ethnic differences in health care expenditures change over the trajectory of ADRD or differ by types of service.

METHODS

We examined racial and ethnic patterns and differences in health care expenditures (total health care expenditures, out-of-pocket expenditures, and six service-specific expenditures) among Medicare beneficiaries without cognitive deficits, those with cognitive deficits without ADRD, and those with ADRD. Using the 1996-2017 Medical Expenditure Panel Survey, we performed multivariable regression models to estimate expenditure differences among racial and ethnic groups without cognitive deficits, those with cognitive deficits without ADRD, and those with ADRD. Models accounted for survey weights and adjusted for various demographic, socioeconomic, and health characteristics.

RESULTS

Black, Asians, and Latinos without cognitive deficits had lower total health care expenditures than whites without cognitive deficits ($10,236, $9497, $9597, and $11,541, respectively). There were no racial and ethnic differences in total health care expenditures among those with cognitive deficits without ADRD and those with ADRD. Across all three groups, however, Blacks, Asians, and Latinos consistently had lower out-of-pocket expenditures than whites (except for Asians with cognitive deficits without ADRD). Furthermore, service-specific health care expenditures varied by racial and ethnic groups.

CONCLUSIONS

Our study did not find significant racial and ethnic differences in total health care expenditures among Medicare beneficiaries with cognitive deficits and/or ADRD. However, we documented significant differences in out-of-pocket expenditures and service-specific expenditures. We speculated that the differences may be attributable to racial and ethnic differences in access to care and/or preferences based on family structure and cultural/economic factors. Particularly, heterogeneous patterns of service-specific expenditures by racial and ethnic groups underscore the importance of future research in identifying determinants leading to variations in service-specific expenditures among racial and ethnic groups.

Assessment of Year-to-Year Patient-Specific Comorbid Conditions Reported in the Medicare Chronic Conditions Data Warehouse

This cross-sectional study evaluates the persistence of chronic condition flags for 51 conditions over single-year and multiyear periods.