Race and Gender Disparities are Evident in COPD Underdiagnoses Across all Severities of Measured Airflow Obstruction

Health and Demographic Factors for Chronic Obstructive Pulmonary Disease Among Hispanic Adults in the United States: Analysis of Behavioral Risk Factor Surveillance System Survey Data

Introduction: Appropriate diagnosis and regular primary care appointments are markers of quality chronic obstructive pulmonary disease (COPD) care. Underdiagnosis of COPD has been associated with an absence of health insurance, lower socioeconomic status, and race and ethnicity. Methods: This study examined predictors of COPD using data from the Behavioral Risk Factor Surveillance System (BRFSS, 2021) to provide information for prevention messaging and interventions. Participants included Hispanic adults (n = 17,782) aged 45 years and older. Chi-square tests and a multinomial logistic regression analysis (adjusted with the BRFSS weighting variable) were used to understand how sex, income, health status, smoking behaviors, asthma morbidity, and health insurance coverage were related to having COPD. Results: Patients with poor health, lower income level, current smokers, former smokers, or asthma were more likely to report COPD. Females were more likely to report COPD than males. Patients with COPD were more likely to be without health insurance when compared to those who did not have COPD, indicating unmet medical needs. Conclusion: Studies such as this one, aiming to evaluate the relationship between COPD prevalence and predictors of health and outcomes among Hispanic patients in the United States will remain important for developing health messaging to attenuate disease progression.

Demographic bias in misdiagnosis by computational pathology models

Despite increasing numbers of regulatory approvals, deep learning-based computational pathology systems often overlook the impact of demographic factors on performance, potentially leading to biases. This concern is all the more important as computational pathology has leveraged large public datasets that underrepresent certain demographic groups. Using publicly available data from The Cancer Genome Atlas and the EBRAINS brain tumor atlas, as well as internal patient data, we show that whole-slide image classification models display marked performance disparities across different demographic groups when used to subtype breast and lung carcinomas and to predict IDH1 mutations in gliomas. For example, when using common modeling approaches, we observed performance gaps (in area under the receiver operating characteristic curve) between white and Black patients of 3.0% for breast cancer subtyping, 10.9% for lung cancer subtyping and 16.0% for IDH1 mutation prediction in gliomas. We found that richer feature representations obtained from self-supervised vision foundation models reduce performance variations between groups. These representations provide improvements upon weaker models even when those weaker models are combined with state-of-the-art bias mitigation strategies and modeling choices. Nevertheless, self-supervised vision foundation models do not fully eliminate these discrepancies, highlighting the continuing need for bias mitigation efforts in computational pathology. Finally, we demonstrate that our results extend to other demographic factors beyond patient race. Given these findings, we encourage regulatory and policy agencies to integrate demographic-stratified evaluation into their assessment guidelines.

How to Enhance the Diagnosis of Early Stages of Chronic Obstructive Pulmonary Disease (COPD)? The Role of Mobile Spirometry in COPD Screening and Diagnosis-A Systematic Review

COPD is the third leading cause of death worldwide. Its diagnosis can be made with spirometry, which is underused due to its limited accessibility. Portable spirometry holds promise for enhancing the efficacy of COPD diagnoses. The study aimed to estimate COPD prevalence diagnosed with a portable spirometer in high-risk patients and compare it with COPD prevalence based on data from conventional, on-site spirometry. We also evaluated the strategy of a proactive approach to identify COPD in high-risk individuals. We conducted a systematic review of original studies on COPD targeted screening and diagnosis with portable and conventional spirometers selected from 8496 publications initially found in three databases: Cochrane, PubMed, and Embase. The inclusion criteria were met by 28 studies. COPD prevalence evaluated with the use of portable spirometers reached 20.27% and was lower compared to that estimated with the use of conventional spirometers (24.67%). In 11 included studies, postbronchodilator tests were performed with portable spirometers, which enabled a bedside COPD diagnosis. Portable spirometers can be successfully used in COPD targeted screening and diagnosis and thus enhance the detection of COPD at early stages.

Differences in chronic obstructive pulmonary disease among US nursing home residents with heart failure according to sex and type of heart failure

BACKGROUND

Heart failure and chronic obstructive pulmonary disease (COPD) are leading cause of death throughout the world. Few recent studies have, however, examined possible sex and type of heart failure (HFpEF, HFrEF, and unspecified/other heart failure) differences in the prevalence of these chronic conditions among nursing home residents.

OBJECTIVES

The aim of this study is to examine the magnitude of concomitant COPD and differences according to sex and heart failure type, in terms of the prevalence of COPD among nursing home residents with heart failure.

METHODS

The principal study outcomes were examined in a cross-sectional study of 97 495 US nursing home residents with heart failure using the 2018 Minimum Data Set. The diagnoses of heart failure and COPD were operationalized through a review of nursing home admission, progress notes, and physical examination findings.

RESULTS

The average age of this study population was 81.3 ± 11.0 years, 67.3% were women, and 53.8% had COPD. A slightly higher prevalence of COPD was found among men than women. A higher proportion of unspecified heart failure type was found in both men and women, than reduced and preserved ejection fractions, respectively. In both men and women, there was a higher prevalence of COPD among those with various chronic conditions and current tobacco users.

CONCLUSIONS

COPD is highly prevalent among medically complex middle-aged and older nursing home residents with heart failure. Future research should focus on increasing our understanding of factors that influence the risk and optimal management of COPD and heart failure to improve the quality of life for nursing home residents.

Use of the Spirometric "Fixed-Ratio" Underdiagnoses COPD in African-Americans in a Longitudinal Cohort Study

BACKGROUND

COPD diagnosis is tightly linked to the fixed-ratio spirometry criteria of FEV1/FVC < 0.7. African-Americans are less often diagnosed with COPD.

OBJECTIVE

Compare COPD diagnosis by fixed-ratio with findings and outcomes by race.

DESIGN

Genetic Epidemiology of COPD (COPDGene) (2007-present), cross-sectional comparing non-Hispanic white (NHW) and African-American (AA) participants for COPD diagnosis, manifestations, and outcomes.

SETTING

Multicenter, longitudinal US cohort study.

PARTICIPANTS

Current or former smokers with ≥ 10-pack-year smoking history enrolled at 21 clinical centers including over-sampling of participants with known COPD and AA. Exclusions were pre-existing non-COPD lung disease, except for a history of asthma.

MEASUREMENTS

Subject diagnosis by conventional criteria. Mortality, imaging, respiratory symptoms, function, and socioeconomic characteristics, including area deprivation index (ADI). Matched analysis (age, sex, and smoking status) of AA vs. NHW within participants without diagnosed COPD (GOLD 0; FEV1 ≥ 80% predicted and FEV1/FVC ≥ 0.7).

RESULTS

Using the fixed ratio, 70% of AA (n = 3366) were classified as non-COPD, versus 49% of NHW (n = 6766). AA smokers were younger (55 vs. 62 years), more often current smoking (80% vs. 39%), with fewer pack-years but similar 12-year mortality. Density distribution plots for FEV1 and FVC raw spirometry values showed disproportionate reductions in FVC relative to FEV1 in AA that systematically led to higher ratios. The matched analysis demonstrated GOLD 0 AA had greater symptoms, worse DLCO, spirometry, BODE scores (1.03 vs 0.54, p < 0.0001), and greater deprivation than NHW.

LIMITATIONS

Lack of an alternative diagnostic metric for comparison.

CONCLUSIONS

The fixed-ratio spirometric criteria for COPD underdiagnosed potential COPD in AA participants when compared to broader diagnostic criteria. Disproportionate reductions in FVC relative to FEV1 leading to higher FEV1/FVC were identified in these participants and associated with deprivation. Broader diagnostic criteria for COPD are needed to identify the disease across all populations.

Healthcare Utilization in Patients with Chronic Obstructive Pulmonary Disease Discharged from Coronavirus 2019 Hospitalization

Rationale

There is concern that patients with chronic obstructive pulmonary disease (COPD) are at greater risk of increased healthcare utilization (HCU) following Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-COV-2) infection.

Objective

To assess whether COPD is an independent risk factor for increased post-discharge HCU.

Methods

We conducted a retrospective cohort study of patients with COPD discharged home from a hospitalization due to Coronavirus Disease 2019 (COVID-19) between April 1, 2020, and March 31, 2021, using Optum's de-identified Clinformatics® Data Mart Database (CDM). COVID-19 was identified by an International Classification of Diseases, tenth revision, clinical modification (ICD-10-CM) diagnosis code of U07.1. The primary outcome was HCU (ie, emergency department (ED) visits, readmissions, rehabilitation/skilled nursing facility (SNF) visits, outpatient office visits, and telemedicine visits) nine months post-discharge after COVID-19 hospitalization (from here on "post-discharge") in patients with COPD compared to HCU of patients without COPD. Poisson regression modeling was used to calculate relative risk (RR) and confidence interval (CI) for COPD, adjusted for the other covariates.

Results

We identified a cohort of 160,913 patients hospitalized with COVID-19, with 57,756 discharged home and 14,622 (25.3%) diagnosed with COPD. Patients with COPD had a mean age of 75.48 years (±9.49); 55.5% were female and 70.9% were White. Patients with COPD had an increased risk of HCU in the nine months post-discharge after adjusting for the other covariates. Risk of ED visits, readmissions, length of stay during readmission, rehabilitation/SNF visits, outpatient office visits, and telemedicine visits were increased by 57% (RR 1.57; 95% CI 1.53-1.60), 50% (RR 1.50; 95% CI 1.46-1.54), 55% (RR 1.55; 95% CI 1.53-1.56), 18% (RR 1.18; 95% CI 1.14-1.22), 16% (RR 1.16; 95% CI 1.16-1.17), and 28% (RR 1.28; 95% CI 1.24-1.31), respectively. Younger patients (ages 18 to 65 years), women, and Hispanic patients with COPD showed an increased risk for post-discharge HCU.

Conclusion

Patients with COPD hospitalized with COVID-19 experienced increased HCU post-discharge compared to patients without COPD.

Algorithmic fairness in artificial intelligence for medicine and healthcare

In healthcare, the development and deployment of insufficiently fair systems of artificial intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models stratified across subpopulations have revealed inequalities in how patients are diagnosed, treated and billed. In this Perspective, we outline fairness in machine learning through the lens of healthcare, and discuss how algorithmic biases (in data acquisition, genetic variation and intra-observer labelling variability, in particular) arise in clinical workflows and the resulting healthcare disparities. We also review emerging technology for mitigating biases via disentanglement, federated learning and model explainability, and their role in the development of AI-based software as a medical device.

Community-Based Approach to Assess Obstructive Respiratory Diseases and Risk in Urban African American Churches

Asthma, and chronic obstructive pulmonary disease (COPD) are significant health problems that have disparate effects on many Americans. Misdiagnosis and underdiagnosis are common and lead to ineffective treatment and management. This study assessed the feasibility of applying a two-step case-finding technique to identify both COPD and adult asthma cases in urban African American churches. We established a community-based partnership, administered a cross-sectional survey in step one of the case-finding technique and performed spirometry testing in step two. A total of 219 surveys were completed. Provider-diagnosed asthma and COPD were reported in 26% (50/193) and 9.6% (18/187) of the sample. Probable asthma (13.9%), probable COPD (23.1%), and COPD high-risk groups (31.9%) were reported. It is feasible to establish active case-finding within the African American church community using a two-step approach to successfully identify adult asthma and COPD probable cases for early detection and treatment to reduce disparate respiratory health outcomes.

Airway Obstruction in Primary Care Patients: Need for Implementing Spirometry Use

(1) Background: To detect early airway obstruction in an adult primary care setting. (2) Methods: Seventeen general practitioners (GP) were involved. A total of 912 patients consulting their GPs over 40 years were recruited: 583 of them (323M) agreed to perform/undergo all the procedures: respiratory questionnaire, mMRC questionnaire, and spirometry. We identified four subgroups: physician COPD patients; physician asthma patients; asthma-COPD overlap syndrome patients; and no respiratory diagnosis subjects, on the basis of physician diagnosis. For screening purposes, an FEV1/FVC < 70% was considered a marker of airway obstruction (AO). (3) Results: Prevalence rates of COPD, A, and ACOS were 12.5%, 7.8%, and 3.6%, respectively. In the overall sample 16.3% showed airway obstruction: 26% mild, 56% moderate, 17% severe, and 1% very severe. In obstructed subjects, those reporting neither respiratory symptoms nor a physician’s respiratory diagnosis were 60% level I; 43% level II; 44% level III; and none level IV. Wheezing (p < 0.001), sputum (p = 0.01), older age (p < 0.0001), and male gender (p = 0.002) were the best predictors of airway obstruction. (4) Conclusions: A high prevalence of AO was found. In AO we found a high prevalence of subjects without respiratory symptoms or respiratory chronic diagnosis. Airway obstruction was predicted by the presence of wheezing, sputum, older age, and male gender.

Smoke-Free Policies and 30-Day Mortality Rates for Chronic Obstructive Pulmonary Disease

BACKGROUND

Smoke-free policies have been shown to impact 30-day readmission rates due to chronic obstructive pulmonary disease (COPD) among adults aged ≥65 years. However, little is known about the association between smokefree policies and 30-day mortality rates for COPD. Therefore, we investigated the association between comprehensive smoke-free policies and 30-day mortality rates for COPD.

METHODS

We used a cross-sectional study design and retrospectively examined risk-adjusted 30-day mortality rates for COPD across US hospitals in 1171 counties. Data were sourced from Centers for Medicare and Medicaid Services (CMS) Hospital Value-Based Purchasing (HVBP) Program, American Hospital Association (AHA) Annual Surveys, US Census Bureau Current Population Survey, and US Tobacco Control Laws Database from the American Nonsmokers' Rights Foundation (ANRF). Data were averaged at the county level for years 2015-2018. Hierarchical Poisson models adjusted for differences in hospital characteristics and accounted for the clustering of hospitals within a county were used.

RESULTS

Our findings show a consistent association between stronger smoke-free policies and a reduction in COPD mortality. When evaluating smoke-free policy, county characteristics, and hospital characteristics individually, we found that counties with full coverage or partial coverage had a reduced incidence rate of COPD mortality compared to no coverage counties. After adjusting for the county and hospital characteristics, counties with full coverage of smoke-free policies had a reduced rate of 30-day COPD mortality (adjusted incidence rate ratio [IRR]: 0.87, 95% CI: 0.79, 0.96) compared to counties with no policy coverage.

CONCLUSION

Comprehensive smoke-free policies are associated with a reduction in 30-day mortality following hospital admission for COPD. Partial smoke-free legislation is an insufficient preventative measure. These findings have strong implications for hospital policy-makers, suggesting that policy interventions to reduce COPD-related 30-day mortality should include implementing smoke-free policies and public health policy-makers to incentivize comprehensive smokefree policies.

Comparing Racial Differences in Emphysema Prevalence Among Adults With Normal Spirometry: A Secondary Data Analysis of the CARDIA Lung Study

BACKGROUND

Computed tomography (CT) imaging complements spirometry and may provide insight into racial disparities in respiratory health.

OBJECTIVE

To determine the difference in emphysema prevalence between Black and White adults with different measures of normal spirometry results.

DESIGN

Observational study using clinical data and spirometry from the CARDIA (Coronary Artery Risk Development in Young Adults) study obtained in 2015 to 2016 and CT scans done in 2010 to 2011.

SETTING

4 U.S. centers.

PARTICIPANTS

Population-based sample of Black and White adults.

MEASUREMENTS

Self-identified race and visually identified emphysema on CT in participants with different measures of "normal" spirometry results, calculated using standard race-specific and race-neutral reference equations.

RESULTS

A total of 2674 participants (485 Black men, 762 Black women, 659 White men, and 768 White women) had both a CT scan and spirometry available for analysis. Among participants with a race-specific FEV1 between 80% and 99% of predicted, 6.5% had emphysema. In this group, emphysema prevalence was 3.9-fold (95% CI, 2.1- to 7.1-fold; 15.5% vs. 4.0%) higher among Black men than White men and 1.9-fold (CI, 1.0- to 3.8-fold; 6.6% vs. 3.4%) higher among Black women than White women. Among participants with a race-specific FEV1 between 100% and 120% of predicted, 4.0% had emphysema. In this category, Black men had a 6.4-fold (CI, 2.2- to 18.7-fold; 13.9% vs. 2.2%) higher prevalence of emphysema than White men, whereas Black and White women had a similar prevalence of emphysema (2.6% and 2.0%, respectively). The use of race-neutral equations to identify participants with an FEV1 percent predicted between 80% and 120% attenuated racial differences in emphysema prevalence among men and eliminated racial differences among women.

LIMITATION

No CT scans were obtained during the most recent study visit (2015 to 2016) when spirometry was done.

CONCLUSION

Emphysema is often present before spirometry findings become abnormal, particularly among Black men. Reliance on spirometry alone to differentiate lung health from lung disease may result in the underrecognition of impaired respiratory health and exacerbate racial disparities.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Racial Differences in Orthopedic Trauma Surgery

Racial discrepancies among patients in the United States undergoing orthopedic trauma surgery have not been investigated. Issues relating to socioeconomic status and access to care have played a role in the health outcomes of racial groups. In orthopedic surgery, recent joint arthroplasty literature has shown significant racial differences in the use of elective joint arthroplasty. Furthermore, studies also suggest increased rates of early complication in racial minority groups. In general, little information exists on the postoperative outcomes of racial minority groups in orthopedic surgery. We retrospectively queried the National Surgical Quality Improvement Program database to identify patients undergoing orthopedic trauma surgery between 2008 and 2016. Patients of all ages who underwent orthopedic trauma surgery were identified using Current Procedural Terminology codes. Patients classified as either Black or White were included in the study. Demographic data, comorbidities, and basic surgical data were compared between the groups. Adverse outcomes in the initial 30 days postoperative were also examined. Higher frequencies of deep wound infection (0.5% vs 0.3%, P=.002) were noted among Black patients, with decreased mortality (0.3% vs 0.6%, P=.004) and postoperative transfusion (2.7% vs 3.8%, P<.001) rates, compared with White patients. Clear differences exist in the demographic, surgical, and outcome data between Black and White patients undergoing orthopedic trauma surgery. More epidemiological studies are required to further investigate racial differences in orthopedic trauma surgery. [Orthopedics. 2022;45(2):71-76.].

Urinary Metals, Arsenic, and Polycyclic Aromatic Hydrocarbon Exposure and Risk of Self-reported Emphysema in the US Adult Population

PURPOSE

Metal and chemical exposure can cause acute and chronic respiratory diseases in humans. The purpose of this analysis was to analyze 14 types of urinary metals including mercury, uranium, tin, lead, antimony, barium, cadmium, cobalt, cesium, molybdenum, manganese, strontium, thallium, tungsten, six types of speciated arsenic, total arsenic and seven forms of polycyclic aromatic hydrocarbons (PAHs), and the link with self-reported emphysema in the US adult population.

METHODS

A cross-sectional analysis using the 2011-2012, 2013-2014 and 2015-2016 National Health and Nutrition Examination Survey datasets was conducted. A specialized weighted complex survey design analysis package was used in analyzing the data. Multivariate logistic regression models were used to assess the association between urinary metals, arsenic, and PAHs and self-reported emphysema among all participants and among non-smokers only. Models were adjusted for lifestyle and demographic factors.

RESULTS

A total of 4,181 adults were analyzed. 1-Hydroxynaphthalene, 2-hydroxynaphthalene, 3-hydroxyfluorene, 2-hydroxyfluorene, 1-hydroxypyrene, and 2 & 3-hydroxyphenanthrene were positively associated with self-reported emphysema. Positive associations were also observed in cadmium and cesium with self-reported emphysema. Among non-smokers, quantiles among 2-hydroxynaphthalene, arsenocholine, total urinary arsenic, cesium, and tin were associated with increased odds of self-reported emphysema. Quantiles among 1-hydroxyphenanthrene, cadmium, manganese, lead, antimony, thallium, and tungsten were associated with an inverse relationship with self-reported emphysema in non-smokers.

CONCLUSION

The study determined that six types of urinary PAHs, cadmium, and cesium are positively associated with self-reported emphysema. Certain quantiles of 2-hydroxynaphthalene, arsenocholine, total urinary arsenic, cesium, and tin are positively associated with self-reported emphysema among non-smokers.

Women's COPD

Chronic obstructive pulmonary disease (COPD) is no longer a respiratory disease that predominantly affects men, to the point where the prevalence among women has equaled that of men since 2008, partly due to their increasing exposure to tobacco and to biomass fuels. Indeed, COPD has become the leading cause of death in women in the USA. A higher susceptibility of female to smoking and pollutants could explain this phenomenon. Besides, the clinical presentation appears different among women with more frequent breathlessness, anxiety or depression, lung cancer (especially adenocarcinoma), undernutrition and osteoporosis. Quality of life is also more significantly impaired in women. The theories advanced to explain these differences involve the role of estrogens, smaller bronchi, impaired gas exchange in the lungs and smoking habits. Usual medications (bronchodilators, ICS) demonstrated similar trends for exacerbation prevention and lung function improvement in men and women. There is an urgent need to recognize the increasing burden of COPD in women and therefore to facilitate global improvements in disease management (smoking cessation, pulmonary rehabilitation…) in half of the population. Nevertheless, important limitations to the treatment of women with COPD include greater under-diagnosis than in men, fewer spirometry tests and medical consultations. In conclusion there is an urgent need to recognize the increasing burden of COPD in women and therefore to facilitate globally improvements in disease management in this specific population.

Disparities in Hospitalized Chronic Obstructive Pulmonary Disease Exacerbations Between American Indians and Non-Hispanic Whites

BACKGROUND

The prevalence of chronic obstructive pulmonary disease (COPD) is high in American Indian (AI) populations, as are diabetes and obesity, which are common COPD comorbidities. However, COPD research among AI populations is limited.

STUDY DESIGN AND METHODS

We conducted a retrospective study to investigate potential health disparities and risk factors among AI and non-Hispanic White (NHW) patients with COPD exacerbations hospitalized at the University of Oklahoma Medical Center between July 2001 and June 2020. Demographics, clinical variables, and outcomes were collected.

RESULTS

A total of 76 AI patients and 304 NHW patients were included. AI patients had more comorbidities than did NHW patients (4.3 versus.3.1, p<0.001). In multiple variable analyses, AI race was associated with higher odds of needing intensive care unit (ICU) care ( odds ratio [OR], 2.37, 95% confidence interval [CI], 1.36--4.16, p=0.002) and invasive mechanical ventilator use (OR, 2.75, 95% CI, 1.42-5.29, p=0.002). AI race was also associated with longer ICU stays compared with NHWs (OR, 1.43, 95% CI, 1.18--1.73, p<0.001). The average number of days on mechanical ventilator support increased by 137.3% for an AI patient compared to an NHW patient (p<0.001). AI race was not associated with discharge to other health facilities (OR, 0.98, 95% CI, 0.52-1.83, p=0.944).

INTERPRETATION

AI patients were more likely than NHW patients to need ICU care and ventilator support, have longer ICU stays, and more days on mechanical ventilator support. More studies are needed to identify reasons for these disparities and effective interventions to reduce them.

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes

OBJECTIVE

Frailty is a prevalent risk factor for adverse outcomes among patients with chronic lung disease. However, identifying frail patients who may benefit from interventions is challenging using standard data sources. We therefore sought to identify phrases in clinical notes in the electronic health record (EHR) that describe actionable frailty syndromes.

MATERIALS AND METHODS

We used an active learning strategy to select notes from the EHR and annotated each sentence for 4 actionable aspects of frailty: respiratory impairment, musculoskeletal problems, fall risk, and nutritional deficiencies. We compared the performance of regression, tree-based, and neural network models to predict the labels for each sentence. We evaluated performance with the scaled Brier score (SBS), where 1 is perfect and 0 is uninformative, and the positive predictive value (PPV).

RESULTS

We manually annotated 155 952 sentences from 326 patients. Elastic net regression had the best performance across all 4 frailty aspects (SBS 0.52, 95% confidence interval [CI] 0.49-0.54) followed by random forests (SBS 0.49, 95% CI 0.47-0.51), and multi-task neural networks (SBS 0.39, 95% CI 0.37-0.42). For the elastic net model, the PPV for identifying the presence of respiratory impairment was 54.8% (95% CI 53.3%-56.6%) at a sensitivity of 80%.

DISCUSSION

Classification models using EHR notes can effectively identify actionable aspects of frailty among patients living with chronic lung disease. Regression performed better than random forest and neural network models.

CONCLUSIONS

NLP-based models offer promising support to population health management programs that seek to identify and refer community-dwelling patients with frailty for evidence-based interventions.

An independently validated, portable algorithm for the rapid identification of COPD patients using electronic health records

Electronic health records (EHR) provide an unprecedented opportunity to conduct large, cost-efficient, population-based studies. However, the studies of heterogeneous diseases, such as chronic obstructive pulmonary disease (COPD), often require labor-intensive clinical review and testing, limiting widespread use of these important resources. To develop a generalizable and efficient method for accurate identification of large COPD cohorts in EHRs, a COPD datamart was developed from 3420 participants meeting inclusion criteria in the Mass General Brigham Biobank. Training and test sets were selected and labeled with gold-standard COPD classifications obtained from chart review by pulmonologists. Multiple classes of algorithms were built utilizing both structured (e.g. ICD codes) and unstructured (e.g. medical notes) data via elastic net regression. Models explicitly including and excluding spirometry features were compared. External validation of the final algorithm was conducted in an independent biobank with a different EHR system. The final COPD classification model demonstrated excellent positive predictive value (PPV; 91.7%), sensitivity (71.7%), and specificity (94.4%). This algorithm performed well not only within the MGBB, but also demonstrated similar or improved classification performance in an independent biobank (PPV 93.5%, sensitivity 61.4%, specificity 90%). Ancillary comparisons showed that the classification model built including a binary feature for FEV1/FVC produced substantially higher sensitivity than those excluding. This study fills a gap in COPD research involving population-based EHRs, providing an important resource for the rapid, automated classification of COPD cases that is both cost-efficient and requires minimal information from unstructured medical records.

Racial Disparities in Health Risk Indicators Reported by Alabamians Diagnosed with COPD

Chronic Obstructive Pulmonary Disease (COPD) is a growing public health problem in the southern United States, particularly in Alabama. However, very little is known about specific health risk factors disproportionately impacting Alabamians with COPD. We conducted a latent class analysis of 2015–2019 Behavioral Risk Factor Surveillance System data from 4057 Alabamians with COPD (White = 2947, Black = 873, Other = 237). Eighteen risk indicators were examined across three health-related domains: (1) comorbidities, (2) limited healthcare access, and (3) substance use/abuse. Racial disparities between Black and white Alabamians with COPD were assessed using configural similarity analysis. Findings showed that almost one-third (31%) of Alabamians with COPD were in the high-risk class for eight comorbidities, and nearly one-half (48.88%) belonged to the high-risk class for limited healthcare access. Black Alabamians with COPD who did not have health insurance were much more likely to be at high risk for limited healthcare access (94.44%) when compared to their counterparts with insurance (5.56%), χ²(df = 2) = 1389.94, p < 0.0001. Furthermore, the proportion of high-risk, uninsured Black Alabamians with COPD (94.44%) substantially exceeded the percentage of high-risk, uninsured white Alabamians with COPD (59.70%). Most Alabamians with COPD (82.97%) were at low risk for substance use/abuse. Future research should explore new mechanisms for facilitating better healthcare access among high-risk Alabamians living with COPD and other prevalent comorbidities. Greater attention should be focused on Black Alabamians with COPD who cannot afford adequate health insurance.

Mechanisms of socioeconomic differences in COVID-19 screening and hospitalizations

Background

Social and ecological differences in early SARS-CoV-2 pandemic screening and outcomes have been documented, but the means by which these differences have arisen are not well understood.

Objective

To characterize socioeconomic and chronic disease-related mechanisms underlying these differences.

Design

Observational cohort study.

Setting

Outpatient and emergency care.

Patients

12900 Cleveland Clinic Health System patients referred for SARS-CoV-2 testing between March 17 and April 15, 2020.

Interventions

Nasopharyngeal PCR test for SARS-CoV-2 infection.

Measurements

Test location (emergency department, ED, vs. outpatient care), COVID-19 symptoms, test positivity and hospitalization among positive cases.

Results

We identified six classes of symptoms, ranging in test positivity from 3.4% to 23%. Non-Hispanic Black race/ethnicity was disproportionately represented in the group with highest positivity rates. Non-Hispanic Black patients ranged from 1.81 [95% confidence interval: 0.91–3.59] times (at age 20) to 2.37 [1.54–3.65] times (at age 80) more likely to test positive for the SARS-CoV-2 virus than non-Hispanic White patients, while test positivity was not significantly different across the neighborhood income spectrum. Testing in the emergency department (OR: 5.4 [3.9, 7.5]) and cardiovascular disease (OR: 2.5 [1.7, 3.8]) were related to increased risk of hospitalization among the 1247 patients who tested positive.

Limitations

Constraints on availability of test kits forced providers to selectively test for SARS-Cov-2.

Conclusion

Non-Hispanic Black patients and patients from low-income neighborhoods tended toward more severe and prolonged symptom profiles and increased comorbidity burden. These factors were associated with higher rates of testing in the ED. Non-Hispanic Black patients also had higher test positivity rates.

Racial Disparities in Bariatric Surgery Complications and Mortality Using the MBSAQIP Data Registry

Background

Racial disparities in postoperative complications have been demonstrated in bariatric surgery, yet the relationship of race to complication severity is unknown.

Study Design

Adult laparoscopic primary bariatric procedures were queried from the 2015 and 2016 MBSAQIP registry. Adjusted logistic and multinomial regressions were used to examine the relationships between race and 30-day complications categorized by the Clavien-Dindo grading system.

Results

A total of 212,970 patients were included in the regression analyses. For Black patients, readmissions were higher (OR = 1.39, p < 0.0001) and the odds of a Grade 1, 3, 4, or 5 complication were increased compared with White patients (OR = 1.21, p < 0.0001; OR = 1.21, p < 0.0001; OR = 1.22, p = 0.01; and OR = 1.43, p = 0.04) respectively. The odds of a Grade 3 complication for Hispanic patients were higher compared with White patients (OR = 1.59, p < 0.0001).

Conclusion

Black patients have higher odds of readmission and multiple grades of complications (including death) compared with White patients. Hispanic patients have higher odds of a Grade 3 complication compared with White patients. No significant differences were found with other races. Specific causes of these disparities are beyond the limitations of the dataset and stand as a topic for future inquiry.

Racial disparities in COVID-19 hospitalizations do not lead to disparities in outcomes

OBJECTIVES

The objective of the study is the identification of racial differences in characteristics and comorbidities in patients hospitalized for COVID-19 and the impact on outcomes.

STUDY DESIGN

The study design is a retrospective observational study.

METHODS

Data for all patients admitted to seven community hospitals in Michigan, United States, with polymerase chain reaction confirmed diagnosis of COVID-19 from March 10 to April 15, 2020 were analyzed. The primary outcomes of racial disparity in inpatient mortality and intubation were analyzed using descriptive statistics and multivariate regression models.

RESULTS

The study included 336 Black and 408 White patients. Black patients were younger (62.9 ± 15.0 years vs 71.8 ± 16.4, P < .001), had a higher mean body mass index (32.4 ± 8.6 kg/m2 vs 28.8 ± 7.5, P < .001), had higher prevalence of diabetes (136/336 vs 130/408, P = .02), and presented later (6.6 ± 5.3 days after symptom onset vs. 5.4 ± 5.4, P = .006) compared with White patients. Younger Black patients had a higher prevalence of obesity (age <65 years, 69.9%) than older Black patients (age >65 years, 39.2%) and younger White patients (age < 65, 55.1%). Intubation did not reach statistical significance for racial difference (Black patients 61/335 vs. 54/406, P = .08). Mortality was not higher in Black patients (65/335 vs. 142/406 in White patients, odds ratio 0.61, 95% confidence interval: 0.37 to 0.99, 2-sided P = .05) in multivariate analysis, accounting for other risk factors associated with mortality.

CONCLUSIONS

Higher prevalence of obesity and diabetes in young Black populations may be the critical factor driving disproportionate COVID-19 hospitalizations in Black populations. Hospitalized Black patients do not have worse outcomes compared with White patients.

Promoting Clinical Conversations about Lung Cancer Screening: Exploring the Role of Perceived Online Social Support

The perceived availability of online social support may contribute to patient-provider conversations about lung cancer screening. This study examines how the perceived availability of instrumental and emotional online social support is associated with patient-provider communication about lung cancer screening among adults who meet U.S. Preventive Services Taskforce (USPSTF) eligibility criteria and live with a COPD diagnosis. In April 2018, 575 adults completed an online survey after being recruited from a large southeastern academic medical center's broad research registry and website listing. Nearly half of the participants were 55-to-80 years old (41%), a current or former smoker who had quit smoking within the past 15 years (42%), and reported a smoking prevalence of 30 pack years or more (PPY; 41%). Results demonstrate that having a COPD diagnosis, identifying as male, and being a current or former tobacco smoker resulted in greater odds of having a clinical conversation about lung cancer screening. Conversely, meeting the 30 PPY smoking and 55-to-80 age thresholds lowered the odds of having these conversations. A high degree of instrumental and emotional online social support was associated with a greater incidence of annual patient-provider conversations about screening. This combination of perceived online social support was especially useful for patients with COPD.

Sleep Duration and Efficiency Associated With Better Functional Exercise Capacity in Black Smokers at Risk for COPD

BACKGROUND

Black smokers have earlier development of lung disease as well as poorer sleep health than whites.

RESEARCH QUESTION

In a sample of black smokers, to what extent does sleep health modify the association between smoking level and functional exercise capacity?

DESIGN AND METHODS

Cross-sectional data from 209 black smokers (≥ 1 cigarette in last month), aged 40 to 65 years with no evidence of sleep-disordered breathing (apnea-hypopnea index < 15) or severe COPD (FEV₁ > 50%), were used for the current study. Self-reported smoking rate, objectively measured sleep efficiency (SE), total sleep time (TST), and the 6-min walk test (6MWT) for functional exercise capacity were the key assessments.

RESULTS

The mean age was 54.8 years (SD, 5.96), and mean cigarettes smoked per day (cpd) was 8.71 (SD, 6.78). Mean SE was 69.9% (SD, 12.3%), and mean TST was 307.99 min (SD 92.2). In adjusted linear regression models of the 6MWT (meters), TST (slope estimate, -0.14; P = .14) and SE (slope estimate, -1.0; P = .19) were negatively associated with 6MWT. The smoking rate × SE interaction was highly significant (slope estimate, 0.18; P = .007) such that in individuals who smoked ≥ 10 cpd, every additional percentage of SE garnered an additional distance of 0.83 to 6.62 m. Similarly, the smoking rate × TST interaction was significant (slope estimate, 0.019; P = .03) such that in smokers who smoked ≥ 10 cpd, every additional minute of TST garnered an additional distance of 0.04 to 0.60 m.

INTERPRETATION

Higher SE and, to a lesser extent, longer TST, in black adults who smoke ≥ 10 cpd is associated with better 6MWT performance.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov; No.: NCT03534076; URL: www.clinicaltrials.gov.

Gender differences among Swedish COPD patients: results from the ARCTIC, a real-world retrospective cohort study

The present study aimed to generate real-world evidence regarding gender differences among chronic obstructive pulmonary disease (COPD) patients, especially as regards the diagnosis and outcomes in order to identify areas for improvement and management and optimize the associated healthcare resource allocation. ARCTIC is a large, real-world, retrospective cohort study conducted in Swedish COPD patients and a matched reference population from 52 primary care centers in 2000–2014. The incidence of COPD, prevalence of asthma and other comorbidities, risk of exacerbations, mortality rate, COPD drug prescriptions, and healthcare resource utilization were analyzed. In total, 17,479 patients with COPD were included in the study. During the study period, COPD was more frequent among women (53.8%) and women with COPD experienced more exacerbations vs. men (6.66 vs. 4.66). However, the overall mortality rate was higher in men compared with women (45% vs. 38%), but no difference for mortality due to COPD was seen between genders over the study period. Women seemed to have a greater susceptibility to asthma, fractures, osteoporosis, rheumatoid arthritis, rhinitis, depression, and anxiety, but appeared less likely to have diabetes, kidney diseases, and cardiovascular diseases. Furthermore, women had a greater risk of COPD-related hospitalization and were likely to receive a significantly higher number of COPD drug prescriptions compared with men. These results support the need to reduce disease burden among women with COPD and highlight the role of healthcare professionals in primary care who should consider all these parameters in order to properly diagnose and treat women with COPD.

Use of a Cross-Sectional Survey in the Adult Population to Characterize Persons at High-Risk for Chronic Obstructive Pulmonary Disease

Rationale/Objective: The Behavioral Risk Factor Surveillance System (BRFSS) health survey has been used to describe the epidemiology of chronic obstructive pulmonary disease (COPD) in the US. Through addressing respiratory symptoms and tobacco use, it could also be used to characterize COPD risk.

METHODS

Four US states added questions to the 2015 BRFSS regarding productive cough, shortness of breath, dyspnea on exertion, and tobacco duration. We determined COPD risk categories: provider-diagnosed COPD as self-report, high-risk for COPD as ≥10 years tobacco smoking and at least one significant respiratory symptom, and low risk was neither diagnosed COPD nor high risk. Disease burden was defined by respiratory symptoms and health impairments. Data were analyzed using multiple logistic regression models with age as a covariate.

RESULTS

Among 35,722 adults ≥18 years, the overall prevalence of COPD and high-risk for COPD were 6.6% and 5.1%. Differences among COPD risk groups were evident based on gender, race, age, geography, tobacco use, health impairments, and respiratory symptoms. Risk for disease was seen early where 3.75% of 25⁻34 years-old met high-risk criteria. Longer tobacco duration was associated with an increased prevalence of COPD, particularly >20 years. Seventy-nine percent of persons ≥45 years-old with frequent shortness of breath (SOB) reported having or being at risk of COPD, reflecting disease burden.

CONCLUSION

These data, representing nearly 18% of US adults, indicates those at high risk for COPD share many, but not all of the characteristics of persons diagnosed with the disease and demonstrates the value of the BRFSS as a tool to define lung health at a population level.