Are There Disparities in Breast Reconstruction After Contralateral Prophylactic Mastectomy?

INTRODUCTION

Despite national guidelines against contralateral prophylactic mastectomy (CPM) in low- to moderate-risk breast cancer, CPM use continues to rise. Breast reconstruction improves health-related quality of life and satisfaction among women undergoing mastectomy. Given the lack of data regarding factors associated with reconstruction after CPM and the known benefits of reconstruction, we sought to investigate whether disparities exist in receipt of reconstruction after CPM.

METHODS

The 2004-2017 National Cancer Database was queried to identify women diagnosed with breast cancer who underwent unilateral mastectomy with CPM. Patients were divided into two groups: those who underwent planned reconstruction at any timepoint and those who did not. A secondary analysis comparing types of reconstruction (tissue, implant, combined) was conducted. Patient, tumor, and demographic characteristics were analyzed using chi-square test and odds ratios were calculated using generalized estimating equations.

RESULTS

The cohort included 1,73,249 women: 95,818 (55.3%) underwent reconstruction and 77,431 (45.7%) did not. Both the rate CPM and the proportion of women undergoing reconstruction after CPM increased between 2004 and 2017. Of the women who had reconstruction, 40,840 (51.7%) received implants, 29,807 (37.7%) had tissue, and 8352 (10.6%) had combined reconstruction. After adjusted analysis, factors associated with reconstruction were young age, Hispanic ethnicity, private insurance, and living in an area with the highest education and median income (P < 0.01). Patients who underwent reconstruction were less likely to have radiation (P < 0.01) and chemotherapy (P < 0.01), more likely to have stage I disease (P < 0.01), and to be treated at an integrated cancer center (P < 0.01).

CONCLUSIONS

Reconstruction after CPM is disproportionately received by younger women, Hispanics, those with private insurance, and higher socioeconomic status and education. While the rate of reconstruction after CPM is increasing, there remain significant disparities. Conscious efforts must be made to eliminate these disparities, especially given the known benefits of reconstruction after mastectomy.

Elucidating the association between direct-acting antivirals and Parkinson's disease in patients with hepatitis C virus infection

BACKGROUND

Some epidemiological studies have found an increased association between Parkinson's disease (PD) and chronic hepatitis C virus (HCV) infection. Although a few studies have also found a decreased risk of PD with interferon-α therapy, the effect of direct-acting antivirals (DAAs) on Parkinson's disease remains unclear. The current study seeks to assess and elucidate the association between DAAs and PD in patients newly diagnosed with chronic HCV infection.

METHODS

We conducted a retrospective cohort study of patients ≥18 years diagnosed with HCV using MarketScan Commercial and Medicare Supplemental database (2012-2019). Follow-up started with the initiation of DAA (or randomly assigned date for the non-DAA group) and ended at occurrence of PD, disenrollment, or end of the study period. A multivariable Cox proportional hazards model was used to estimate hazard ratios (HR) and 95% confidence intervals.

RESULTS

We identified 48,356 patients diagnosed with HCV. The mean follow-up time of the cohort was 1.31 years. The incidence rate of PD was 53 per 100,000 person-years for the DAA group and 48 per 100,000 person-years for the non-DAA group. The adjusted HR was 1.24 (95% CI = 0.56-2.73). Results were consistent across sensitivity and subgroup analyses.

CONCLUSION

This study did not find an association between DAAs and PD among patients with HCV infection.

Real-World Effectiveness of Sotrovimab for the Early Treatment of COVID-19: Evidence from the US National COVID Cohort Collaborative (N3C)

BACKGROUND AND OBJECTIVE

The coronavirus disease 2019 (COVID-19) pandemic has been an unprecedented healthcare crisis, one that threatened to overwhelm health systems and prompted an urgent need for early treatment options for patients with mild-to-moderate COVID-19 at high risk for progression to severe disease. Randomised clinical trials established the safety and efficacy of monoclonal antibodies (mAbs) early in the pandemic; in vitro data subsequently led to use of the mAbs being discontinued, without clear evidence on how these data were linked to outcomes. In this study, we describe and compare real-world outcomes for patients with mild-to-moderate COVID-19 at high risk for progression to severe COVID-19 treated with sotrovimab versus untreated patients.

METHODS

Electronic health records from the National COVID Cohort Collaborative (N3C) were used to identify US patients (aged ≥ 12 years) diagnosed with COVID-19 (positive test or ICD-10: U07.1) in an ambulatory setting (27 September 2021-30 April 2022) who met Emergency Use Authorization (EUA) high-risk criteria. Patients receiving the mAb sotrovimab within 10 days of diagnosis were assigned to the sotrovimab cohort, with the day of infusion as the index date. Untreated patients (no evidence of early mAb treatment, prophylactic mAb or oral antiviral treatment) were assigned to the untreated cohort, with an imputed index date based on the time distribution between diagnosis and sotrovimab infusion in the sotrovimab cohort. The primary endpoint was hospitalisation or death (both all-cause) within 29 days of index, reported as descriptive rate and adjusted [via inverse probability of treatment weighting (IPTW)] odds ratio (OR) and 95% confidence interval (CI).

RESULTS

Of nearly 2.9 million patients diagnosed with COVID-19 during the analysis period, 4992 met the criteria for the sotrovimab cohort, and 541,325 were included in the untreated cohort. Before weighting, significant differences were noted between the cohorts; for example, patients in the sotrovimab cohort were older (60 years versus 54 years), were more likely to be white (85% versus 75%) and met more EUA criteria (mean 3.1 versus 2.2) versus the untreated cohort. The proportions of patients with 29-day hospitalisation or death were 3.5% (176/4992) and 4.5% (24,163/541,325) in the sotrovimab and untreated cohorts, respectively (unadjusted OR: 0.78; 95% CI: 0.67, 0.91; p = 0.001). In adjusted analysis, sotrovimab was associated with a 25% reduction in the odds of hospitalisation or death compared with the untreated cohort (IPTW-adjusted OR: 0.75; 95% CI: 0.61, 0.92; p = 0.005).

CONCLUSIONS

Sotrovimab demonstrated clinical effectiveness in preventing severe outcomes (hospitalisation, mortality) in the period 27 September 2021-30 April 2022, which included Delta and Omicron BA.1 variants and an early surge of Omicron BA.2 variant.

Risk of Fractures With Concomitant Use of Calcium Channel Blockers and Selective Serotonin Reuptake Inhibitors

BACKGROUND

Despite their frequent concurrent use, little is known about the concomitant use of calcium channel blockers (CCBs) and selective serotonin reuptake inhibitors (SSRIs) on fracture risk. We compared risk of fractures in patients concomitantly treated with CCBs and SSRIs versus CCB-only users. We compared risk of fractures among concomitant CCB-SSRI users initiating cytochrome P450 3A4 (CYP3A4)-inhibiting SSRIs versus non-CYP3A4 inhibiting SSRIs.

METHODS

This retrospective cohort study used IBM MarketScan commercial claims and Medicare Supplemental database (2007-2019). We included adults diagnosed with hypertension and depression, newly initiating SSRIs while being treated with CCBs (ie, concomitant CCB-SSRI users) and those who did not (ie, CCB-only users). Primary outcome was the first occurrence of any fracture. We used stabilized inverse probability of treatment weighting (sIPTW) based on propensity scores to balance baseline risk between groups. Cox proportional hazard regression modeling was used to compare fracture risk.

RESULTS

We identified 191 352 concomitant CCB-SSRI and 956 760 CCB-only users (mean age = 56 years, 50.1% males). After sIPTW, compared with CCB-only users, CCBs-SSRIs users had a higher risk of fractures (hazard ratio [HR]: 1.43, 95% confidence interval [CI]: 1.22-1.66). No difference in the risk of fractures between concomitant users of CCB-CYP3A4-inhibiting SSRIs and those of CCB-non-CYP3A4 inhibiting SSRIs (HR: 1.10, 95% CI: 0.87-1.40) was observed.

CONCLUSION AND RELEVANCE

Short-term concomitant CCB-SSRI use was associated with increased fracture risk. Concomitant CCBs and CYP3A4-inhibiting SSRIs compared with CCBs and non-CYP3A4 inhibiting SSRIs use was not associated with increased risk.

Evaluation of upper airway characteristics in patients with and without sleep apnea using cone-beam computed tomography and computational fluid dynamics

OBJECTIVE

To determine if upper airway characteristics and airway pressure change significantly between low risk, healthy non-OSA subjects, and OSA subjects during respiration using cone-beam computed tomography (CBCT) imaging and steady-state k-ω model computational fluid dynamics (CFD) fluid flow simulations, respectively.

MATERIALS AND METHODS

CBCT scans were collected at both end-inhalation and end-exhalation for 16 low-risk non-OSA subjects and compared to existing CBCT data from 7 OSA subjects. The CBCT images were imported into Dolphin Imaging and the upper airway was segmented into stereolithography (STL) files for area and volumetric measurements. Subject models that met pre-processing criteria underwent CFD simulations using ANSYS Fluent Meshing (Canonsburg, PA) in which unstructured mesh models were generated to solve the standard dual equation turbulence model (k-ω). Objective and supplemental descriptive measures were obtained and statistical analyses were performed with both parametric and non-parametric tests to evaluate statistical significance at P < .05.

RESULTS

Regarding area and volumetric assessments, there were statistically significant mean differences in Total Volume and Minimum CSA between non-OSA and OSA groups at inhalation and exhalation (P = .002, .003, .004, and .007), respectively. There were also statistically significant mean differences in volume and min CSA between the inhalation and exhalation for the non-OSA group (P < .001 and .002), respectively.

CONCLUSION

While analysis of the CFD simulation was limited by the collected data available, a finding consistent with published literature was that the OSA subject group simulation models depicted the point of lowest pressure coinciding with the area of maximum constriction.

Effect of Interval between Neoadjuvant Chemotherapy and Radiation Therapy on Metastasis Risk for Inoperable Non-Metastatic Pancreatic Adenocarcinoma

PURPOSE/OBJECTIVE(S)

In inoperable pancreatic cancer patients requiring radiotherapy (RT) after neoadjuvant chemotherapy (CT), there can be delays in starting radiation due to multiple complications. However, pancreatic cancer can progress rapidly during short intervals without treatment. We hypothesize that longer intervals between neoadjuvant chemotherapy and radiation could expediate the development of metastatic disease.

MATERIALS/METHODS

We identified patients with inoperable non-metastatic borderline resectable or locally advanced pancreatic cancer treated with neoadjuvant CT followed by RT from 2011 to 2021 at a single institution. Patients who completed palliative RT as defined by a biologic effective dose (BED) of less than 50 Gy, or those who were lost to follow-up within 3 months after completing RT without documented disease progression were excluded. The interval between RT and CT was defined as the time between last date of CT administration and initiation of RT. The primary endpoint was metastasis-free survival (MFS) after RT completion. Differences in MFS between patients who started RT within or after 4, 6, and 8 weeks of completing CT were examined utilizing log rank analysis of MFS generated via the Kaplan-Meier method.

RESULTS

At a median follow-up of 5.45 months, twenty-three patients were included. Most patients were male (61%) with cT4 (61%), cN0 (83%) pancreatic adenocarcinoma. Almost all patients completed combination neoadjuvant CT (91%) followed by either intensity modulated RT to 50.4 Gy in 28 fractions with capecitabine (n = 9) or stereotactic body RT to 33-40 Gy in 5 fractions (n = 14). Eleven (48%) patients received adjuvant CT after radiation therapy. The median time between last CT and RT initiation was 34 days (range 13-142). The MFS of patients who initiated RT within 4 weeks of CT compared to after was higher but not significant (16.8 vs 9.9 months, p = 0.144). Those who received RT within 6 or 8 weeks of completing CT exhibited significantly longer MFS compared to later than 6 (16.0 vs 6.9 mo, p = 0.016) or 8 weeks (15.1 vs 2.1 mo, p = 0.004). There was no statistical correlation between MFS and other variables (CA 19-9 before radiation, T-stage, receipt of adjuvant CT, BED).

CONCLUSION

These results suggest that a longer interval between CT and RT is associated with the risk of developing metastatic disease sooner but requires validation in a prospective cohort. Root causes of delays in starting radiation (e.g., insurance authorization) should be investigated as well.

Economic Burden of Fatigue in Inflammatory Bowel Disease

Background

This retrospective study gathered medical/pharmacy claims data on patients with inflammatory bowel disease (IBD) between January 01, 2000 and March 31, 2019 from the IBM MarketScan commercial claims database to assess the real-world impact of fatigue on healthcare costs in patients newly diagnosed with IBD.

Methods

Eligible participants were ≥18 years, newly diagnosed with IBD (≥2 separate claims), and had ≥12 months of continuous database enrollment before and after fatigue diagnosis. The date of fatigue diagnosis was the index date; participants were followed for 12 months post-index. Patients with (cases) or without (controls) fatigue were matched 1:1 by propensity score matching. Patients with evidence of prior IBD diagnosis/treatment, or those with a chronic disease other than IBD wherein fatigue is the primary symptom, were excluded. Healthcare resource utilization (HCRU), including hospitalizations, inpatient and outpatient visits, and associated costs were compared between cases and controls.

Results

Matched IBD cohorts (21 321 cases/21 321 controls) were identified (42% Crohn's disease [CD] and 58% ulcerative colitis [UC]) with similar baseline characteristics (average age: 46 years; 60% female). Cases versus controls had significantly more all-cause outpatient visits (incidence rate ratio [IRR], 95% confidence intervals [95% CI]: 1.64 [1.61, 1.67], P < .001) and all-cause hospitalizations (IRR [95% CI]: 1.92 [1.81, 2.04], P < .001); as well as significantly higher all-cause total direct healthcare costs (mean: $24 620 vs. $15 324; P < .001). Similar findings were observed for IBD-related outcomes, as well as in CD- and UC-specific subgroups.

Conclusions

Presence of fatigue is associated with an increase in HCRU and total medical costs among patients newly diagnosed with IBD.

Association of intermittent vs continuous androgen deprivation therapy with cardiovascular disease and endocrine/metabolic disorders in patients with metastatic prostate cancer

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Background: There is mixed evidence on the risks of cardiovascular disease (CVD) and endocrine/metabolic disorders associated with long-term intermittent and continuous androgen deprivation therapy (iADT and cADT, respectively) for metastatic prostate cancer (mPC). This study examined these risks in patients (pts) with mPC receiving iADT vs cADT in the US. Methods: This was a retrospective cohort study of SEER-Medicare pts with mPC initiating ADT (2010–2017), with ≥36 months of continuous insurance coverage, unless death occurred, who did not receive chemotherapy or a second-generation anti-androgen during follow-up. iADT and cADT cohorts were defined by treatment patterns and gaps in therapy. Comorbidities and clinical events were identified using ICD-9/10-CM codes. Outcomes examined were major adverse cardiovascular events (MACE [myocardial infarction (MI), stroke, cardiomyopathy/heart failure (HF), pulmonary embolism (PE), ischemic heart disease (IHD), or all-cause mortality]) and endocrine/metabolic events (diabetes, hypercholesterolemia, bone fractures, or osteoporosis). Inverse probability of treatment weighting (IPTW) was used to adjust for differences between cohorts; weighted Cox models were used to estimate the hazard ratio (HR) of the outcomes. Subgroup analyses examined pts by CVD history; a sensitivity analysis was performed restricting the definition of MACE to include CVD-related mortality as a component, i.e., MACESA (MI, stroke, cardiomyopathy/HF, PE, IHD, or CVD-related mortality). Results: 2234 pts with mPC were included; 478 (21%) received iADT and 1756 (79%) cADT. Median follow-up time was 27 and 13 months, and time on ADT (excluding gaps for iADT pts) was 24 and 19 months for the iADT and cADT cohorts, respectively. Deaths occurred in 39% of iADT pts vs 55% of cADT pts; PC was the most common cause of death in both cohorts. In adjusted analyses, pts receiving cADT had a higher risk of MACE vs iADT. No differences in risk of endocrine/metabolic events were observed. Subgroup analysis showed that baseline history of CVD did not alter the results for MACE. Sensitivity analysis results showed no difference in risk of MACESA between pts receiving cADT vs iADT. Conclusions: Pts with mPC receiving cADT had a higher risk of MACE (including all-cause mortality), and no difference in risk of endocrine/metabolic events, compared with those receiving iADT. When MACE was restricted to include CVD-related mortality, there was no difference in risk between cohorts. [Table: see text]

Association of intermittent or continuous androgen deprivation therapy with cardiovascular disease and endocrine/metabolic disorders in patients with nonmetastatic prostate cancer

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Background: Evidence on risks of cardiovascular disease (CVD) and endocrine/metabolic disorders associated with long-term intermittent and continuous androgen deprivation therapy (iADT and cADT, respectively) in patients (pts) with nonmetastatic prostate cancer (nmPC) is mixed. This real-world study examined these risks in pts with nmPC receiving iADT or cADT in the US. Methods: This was a retrospective cohort study of SEER-Medicare pts with nmPC initiating ADT (2010–2017), with ≥36 months of continuous insurance coverage, unless death occurred, and who did not receive chemotherapy or a second-generation anti-androgen during follow-up. iADT and cADT cohorts were defined by treatment patterns and gaps in therapy. Comorbidities and clinical events were identified using ICD-9/10-CM codes. Outcomes examined were major adverse cardiovascular events (MACE [myocardial infarction (MI), stroke, cardiomyopathy/heart failure (HF), pulmonary embolism (PE), ischemic heart disease (IHD), or all-cause mortality]) and endocrine/metabolic events (diabetes, hypercholesterolemia, bone fractures, or osteoporosis). Inverse probability of treatment-weighted Cox regression models estimated the adjusted hazard ratio (aHR) of the outcomes. Subgroup analyses examined pts by CVD history. A sensitivity analysis restricted the definition of MACE to include CVD-related mortality as a component, i.e., MACESA (MI, stroke, cardiomyopathy/HF, PE, IHD, or CVD-related mortality). Results: 10,655 pts were included; 2095 (20%) received iADT and 8560 (80%) cADT; 63% of iADT pts and 66% of cADT pts had baseline CVD history. Median follow-up was 44 and 48 months and time on ADT (excluding gaps for iADT pts) was 23 and 17 months for the iADT and cADT cohorts, respectively. In adjusted analyses, pts receiving cADT had a lower risk of MACE vs iADT. No difference in risk of endocrine/metabolic events was observed. Results for MACE were similar in pts with prior CVD history; however, there was no difference in risk of MACE in those without CVD history. Sensitivity analysis results for MACESA were similar to the main results. Conclusions: Pts with nmPC receiving cADT had a lower risk of MACE, and no difference in risk of endocrine/metabolic events, compared with iADT. There was no difference in risk of MACE in pts without a prior history of CVD. [Table: see text]

Economic Impact of Urological Conditions in Men and Women in Belize

INTRODUCTION

Urological disease is prevalent in low- and middle-income countries. Concurrently, the inability to maintain employment or provide family care contributes to poverty. We assessed the microeconomic impacts of urological disease in Belize.

METHODS

We conducted a prospective survey-based assessment of patients evaluated during surgical trips by the charity Global Surgical Expedition. Patients completed a survey focusing on impact of urological disease on work and caretaker responsibilities, as well as its economic impact. The primary study outcome was income loss resulting from work impairment or work time missed related to urological disease. Income loss was calculated using the validated Work Productivity and Activity Impairment Questionnaire.

RESULTS

A total of 114 patients completed surveys. Overall, 87.7% and 37.2% of respondents reported a negative impact of urological disease on job and caretaking responsibilities, respectively. Nine (7.9%) patients were unemployed secondary to their urological disease. Sixty-one (53.5%) patients provided financial data sufficient for analysis. In this cohort, median weekly income was $250 Belize dollars (approximately $125 United States Dollars), while median weekly cost for urological disease treatment was $25 Belize dollars. Among the 21 (34.5%) patients who missed work due to urological disease, median weekly income loss was $35.6 Belize dollars, representing 55% of their total income. A vast majority (88.6%) of patients reported that cure of urological disease would increase ability to work and/or care for family.

CONCLUSIONS

In Belize, urological disease results in significant impairment of work and caretaking responsibilities, as well as income loss. Efforts are necessary to provide urological surgeries in low- and middle-income countries as urological disease impacts not only quality of life, but also financial health.

Automated deep learning quantification of epicardial adiposity on cardiac CT predicts atrial fibrillation risk immediately following cardiac surgery and long-term

Introduction

Epicardial adipose tissue (EAT) is a visceral fat deposit within the pericardial sac which surrounds the heart myocardium and coronary arteries. The automated quantification of EAT volume is possible from routine CCTA scans via a deep-learning approach. The use of automated EAT quantification for the assessment of atrial fibrillation (AF) risk in the post-operative period, and longer-term, has not been previously investigated.

Purpose

To apply a deep-learning approach for automated segmentation of EAT from routine CCTA scans to assess the immediate post-operative and long-term risk of AF conveyed by EAT.

Methods

A deep-learning automated EAT segmentation tool using a 3D Residual-U-Net neural network architecture for 3D volumetric segmentation of CCTA data was created and trained on over 2800 consecutive CCTA performed as part of clinical care in patients with stable chest pain from 2015 onwards within the European arm of the Oxford Risk Factors And Non Invasive Imaging (ORFAN) Study. External validation in 817patients demonstrated excellent correlation between machine and human expert (CCC = 0.972). The prognostic value of deep-learning derived EAT volume was assessed in the AdipoRedOx Study (n=253; UK patients undergoing cardiac surgery) against both immediate in-hospital outcomes and longer-term outcomes from UK-wide NHS data, with adjustment for AF risk factors.

Results

There were 97 cases of new-onset AF in the immediate post-operative period (38.3%). EAT volume was found to be an independent predictor of post-operative AF regardless of body mass index. Utilising the median EAT volume as the cut point, the adjusted hazard ratio (HR [95% CI]) for risk of new-onset post-operative AF in-hospital was 1.56 [1.09–3.85], p&lt;0.01 (Figure 1A). In receiver-operator characteristic analysis EAT volume added significant incremental prognostic power for the discrimination of in-hospital post-operative AF over a traditional risk factor model ΔAUC=0.101, p&lt;0.01 (Figure 1B).

Over a median follow-up period of 89 months there were 48 unique cases (19%) of confirmed AF found in nation-wide NHS hospital episode statistics data for the AdipoRedOx cohort. EAT volume was found to be a significant independent predictor of long-term AF. Utilising the median EAT volume as the cut point, the adjusted HR for risk of new-onset long-term AF following cardiac surgery was 1.25 [1.08–3.17], p&lt;0.01 (Figure 1C).

Conclusions

Automatically segmented EAT volume measured using a deep learning network predicts risk of both short-term new onset AF following cardiac surgery, and long-term risk of AF in the 7 years following the surgery independently of BMI and AF risk factors. This suggests that EAT is a potent mediator of AF risk in the post cardiac surgery setting.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): British Heart Foundation - TG/19/2/34831EU Commission - 965286

Predictors of acute pulmonary embolism-related hospitalizations – an artificial neural network analysis using a nationwide cohort in the United States

Background

Considering a paucity of large-scale data on predictors of pulmonary embolism (PE) and its higher association with complications and worse outcomes, we aimed to determine the predictors of PE in this United States population-based analysis using Artificial Neural Network (ANN) Model in a nationally representative cohort.

Methods

We identified PE-related hospitalizations using 2018's National Inpatient Sample database. The relevant predictive factors for ANN were selected for this cohort. Of all admissions (unweighted n=7,105,498, weighted n=35,527,481), PE cohort (weighted n=387805) consisted of 1.1% of all admissions in 2018. The 2018 cohort was randomly split into training data (unweighted n=4716132, 70.0%) which were used to calibrate ANN and testing data (unweighted n=2019290, 30%) which were used to assess the accurateness of the algorithm. We equated the rate of incorrect prediction between training and testing data and measured the Area under Receiver Operator Curve (AUC) to determine ANN's efficacy in predicting PE hospitalizations.

Results

Patients hospitalized with PE often consisted of older (mean age 62.5±17.1 years), female (51.3%), white (70.5%) patients, and patients from lower-income quartile (0–25% income quartile: 28.8%%), often admitted non-electively (93.7%) with higher rates of cardiovascular disease risk factors. PE admissions revealed significantly higher (6.5% vs. 1.9%, p&lt;0.001) in-hospital mortality, less frequent routine discharges (51.4% vs. 68.1%) and more frequent other facility transfers and requirement of home health care. Normalized Predictors of PE admissions are displayed in Fig. 1. Our ANN model had AUC 0.873 which correlates with an excellent prediction model. Our data demonstrated low levels (0.8%) error in both testing and training models.

Conclusion

Our ANN model showed high performance to predict risk factors for PE admissions in the US population. It will enable clinicians to screen patients at high-risk for PE admissions, curtail complication rate, improve survival and lower the healthcare cost.

Funding Acknowledgement

Type of funding sources: None.

Comparative Safety and Effectiveness of Aldosterone Antagonists Versus Beta-Blockers as Fourth Agents in Patients With Apparent Resistant Hypertension

BACKGROUND

Limited evidence exists regarding long-term effectiveness and safety of aldosterone antagonists (AAs) versus beta blockers (BBs) as fourth-line antihypertensive agents in patients with resistant hypertension (RH). We evaluated the comparative effectiveness and safety of aldosterone AA versus BB.

METHODS

We conducted a real-world retrospective cohort study using IBM MarketScan commercial claims and Medicare Supplemental claims (2007-2019). Patients with RH entered the cohort (ie, index date) when they newly initiated either AA or BB. The effectiveness outcome was major adverse cardiovascular events. Safety outcomes were hyperkalemia, gynecomastia, and kidney function deterioration. Potential confounding was addressed by adjustment for baseline characteristics via stabilized inverse probability of treatment weighting (SIPTW) based on propensity scores. Cox proportional hazards regression with SIPTWs were used to estimate adjusted hazard ratio (aHR) and 95% CI comparing risk for outcomes between AA and BB groups.

RESULTS

We identified 80 598 patients with RH (mean age: 61 years, 51% males), of which 6626 initiated AA and 73 972 initiated BB as the fourth antihypertensive agent. Among patients with RH, initiation of AA as a fourth-line antihypertensive agent did not significantly reduce major adverse cardiovascular event risk relative to BB initiation (aHR, 0.77 [95% CI, 0.50-1.19]) but did substantially increase the risk of hyperkalemia (aHR, 3.86 [95% CI, 2.78-5.34]), gynecomastia (aHR, 9.51 [95% CI, 5.69-15.89]), and kidney function deterioration (aHR, 1.63 [95% CI, 1.34-1.99]).

CONCLUSIONS

Long-term clinical trials powered to assess major adverse cardiovascular events are necessary to understand the risk-benefit trade-off of AA as fourth-line therapy for RH.

Medicare Bundled Payment Policy on Anemia Care, Major Adverse Cardiovascular Events, and Mortality among Adults Undergoing Hemodialysis

BACKGROUND AND OBJECTIVES

In 2011, the Centers for Medicare & Medicaid Services implemented bundling of all services for patients receiving dialysis, including erythropoietin-stimulating agents use, and the Food and Drug Administration recommended conservative erythropoietin-stimulating agent dosing.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

This retrospective cohort study investigated anemia care and clinical outcomes before and after the Centers for Medicare & Medicaid Services bundled payment and the revised Food and Drug Administration-recommended erythropoietin-stimulating agent labeling for Medicare-insured adults receiving hemodialysis using data from the United States Renal Data System from January 1, 2006 to December 31, 2016. Clinical outcomes included major adverse cardiovascular event (stroke, acute myocardial infarction, and all-cause mortality), cardiovascular mortality, and heart failure. Measurements were compared between prepolicy (2006-2010) and postpolicy (2012-2016) implementation using interrupted time series and Cox proportional hazards regression models.

RESULTS

Of 481,564 patients, erythropoietin-stimulating agent use immediately decreased by 84.8 per 1000 persons (P<0.001), with a significant decrease in the slope of the trend line (both P=0.001). Blood transfusion use rapidly increased by 8.34 per 1000 persons in April 2012 and then gradually decreased (both P=0.001). The percentage of patients with hemoglobin >11 g/dl decreased from 68% in January 2006 to 28% in December 2016, whereas those with hemoglobin <9 g/dl increased from 5% to 9%. Overall major adverse cardiovascular event (adjusted hazard ratio, 0.95; 95% confidence interval, 0.94 to 0.96), stroke (adjusted hazard ratio, 0.83; 95% confidence interval, 0.80 to 0.86), all-cause mortality (adjusted hazard ratio, 0.87; 95% confidence interval, 0.86 to 0.89), cardiovascular mortality (adjusted hazard ratio, 0.81; 95% confidence interval, 0.79 to 0.83), and heart failure (adjusted hazard ratio, 0.86; 95% confidence interval, 0.84 to 0.88) risks were lower. Acute myocardial infarction risk (adjusted hazard ratio, 1.04; 95% confidence interval, 1.01 to 1.06) was higher after policies changed.

CONCLUSIONS

The Medicare reimbursement policy and Food and Drug Administration-recommended erythropoietin-stimulating agent dosing changes were associated with lower erythropoietin-stimulating agent use and lower hemoglobin levels. These changes in anemia care were associated with lower risks of major adverse cardiovascular event, stroke, mortality, and heart failure but higher risk of acute myocardial infarction among adults receiving hemodialysis.

Cardiovascular disease risk factors and outcomes of acute myocardial infarction in young adults in two nationwide cohorts in the united states

Funding Acknowledgements

Type of funding sources: None.

Background

Acute myocardial infarction (AMI) can have considerable morbidity and devastating socioeconomic and psychological consequences in young adults. Previous studies reveal that the decline in mortality in AMI has mainly been in the older population while being comparatively less significant in younger patients. This study compares young adults (18 to 44 years) hospitalized with AMI across two nationwide cohorts, 2007 and 2017, in the United States (US). It examines the burden of AMI hospitalizations, the prevalence of comorbidities, and in-hospital outcomes in young adults a decade apart. It highlights the rise in AMI hospitalizations, lack of decrease in mortality, sex-based and racial disparities, the surge in post-MI complications, and the decline in reperfusion interventions in young AMI patients over a decade.

Purpose

Coronary heart disease prevalence is challenging to ascertain in younger adults because of limited data and frequent silent clinical presentations. AMI and its complications can cause considerable morbidity, psychological trauma, and socioeconomic burden in the young.

Methods

We identified hospitalizations for AMI in young adults in 2007 and 2017 using the weighted data from the National Inpatient Sample (NIS), which covers 20% of stratified data of all non-federal community hospitals in the US. We compared the following data between the two cohorts: admission rates, sociodemographic features, in-hospital morbidity, complications, mortality, rate of coronary interventions, and healthcare utilization between the two cohorts. We used Pearson’s Chi-square test and Mann-Whitney U test to compare categorical and continuous variables, respectively. We also applied multivariable regression analyses to assess and compare the risk of cardiovascular complications and in-hospital mortality while controlling for confounders, including age, sex, race, median household income quartile, primary insurance enrolment, and pre-existing comorbidities.

Results

AMI’s incidence was higher in males in both the cohorts, although with a decline (71.1% vs 66.1%), whereas it rose from 28.9% to 33.9% in females. Hypertension (47.8% vs 60.7%), smoking (49.7% vs 55.8%), obesity (14.8% vs 26.8%), and diabetes mellitus (22.0% vs 25.6%) increased in the 2017 cohort (Table 1). We found no significant difference in all-cause mortality (aOR = 1.01 (0.93-1.10), p=0.749). Post-AMI complications, cardiogenic shock (aOR = 1.16 (1.06-1.27), p=0.001), and fatal arrhythmias increased. Reperfusion interventions decreased in the 2017 cohort (PCI; aOR=0.95 (0.91-0.98), p&lt;0.001; CABG; aOR=0.66 (0.61-0.71), p&lt;0.001) (Table 2).

Conclusion

Our study highlights the rise in AMI hospitalizations, plateauing of mortality, gender disparity, the surge in post-MI complications, and a reassuring decline in the requirement of reperfusion interventions in young AMI patients over a decade.

Frequency, risk and predictors of type 2 myocardial infarction hospitalizations in young obese patients: A nationwide population-based analysis in the United States

Funding Acknowledgements

Type of funding sources: None.

Background

Obesity in the young population is emerging as a challenging health concern. Though there is a rising prevalence of obesity and its potential association with demand ischemia-related myocardial infarction, data remains non-existent to evaluate the association of obesity or higher body mass index (BMI) with type 2 myocardial infarction (T2MI). We aim to identify the frequency, risk and predictors of T2MI in young hospitalized obese patients compared to non-obese patients in this population-based study.

Methods

We used National Inpatient Sample (2018, ICD-10 codes) to identify T2MI in young (18-44 years) hospitalized patients. Obesity was identified from comorbidities or using diagnostic codes for BMI&gt;30 kg/m2. We performed multivariable regression analysis for the primary outcome of odds of T2MI in young obese patients compared to non-obese patients. The frequency of T2MI was compared between obese vs non-obese patients in overall and subgroup populations. Sociodemographic characteristics and comorbidities in T2MI-obese vs. T2MI-non-obese cohorts were also compared. A p&lt;0.05 was considered a threshold for statistical significance.

Results

Out of 1,268,255 young hospitalized patients with obesity, 555 had T2MI. T2MI was significantly higher in young obese than non-obese (44 T2MI/100000 hospitalizations in young obese patients vs. 17 T2MI/100000 hospitalizations in young non-obese patients, overall 0.04% in obese vs. 0.02% in non-obese, p&lt;0.001). Multivariate analysis revealed higher odds of T2MI in obese than nonobese when adjusted for demographics (aOR 2.65, 95% CI:2.42-2.90, p&lt;0.001) and social demographics with comorbidities (aOR 1.60, 95% CI:1.24-2.07, p&lt;0.001). In young obese, higher risk was found with advancing age (OR 1.07, 95% CI 1.03-1.11, p=0.001), in males than females (aOR 2.70, p&lt;0.001), and blacks (aOR 2.22, p=0.011) and Native Americans (OR 3.91, 95% CI: 1.13-13.49, p=0.011) vs whites. Comorbidities including chronic obstructive pulmonary disease (OR 1.86), chronic kidney disease (CKD, OR 2.36), rheumatoid arthritis/collagen vascular disease (RA/CVD, OR 3.04) Iin young obese patients independently increased the risk of T2MI hospitalizations [Table 1]. The T2MI-obese cohort had a significantly higher rate of hyperlipidemia, hypertension, diabetes, COPD, and prior history of MI and TIA/stroke compared to the T2MI-nonobese cohort [Table 2].

Conclusion

This nationwide analysis revealed a significantly higher risk of T2MI in young obese patients compared to nonobese after excluding patients with concomitant diagnoses of T1MI. Males, blacks compared to females and whites, and comorbidities including COPD, CKD and RA/CVD predicted a higher risk of T2MI in young obese patients. Future studies are warranted to evaluate the role of higher body mass index in myocardial oxygen demand-supply mismatch and short-term/long-term risk and outcomes of T2MI.

Nationwide frequency, risk and outcomes of type-2 myocardial infarction in patients with versus without previously revascularized myocardial infarction (type 1)

Funding Acknowledgements

Type of funding sources: None.

Background

Type 2 myocardial infarction (T2MI), due to a mismatch between myocardial oxygen demand and supply, is being increasingly recognized with improved diagnostics. The upsetting concern of developing T2MI in patients with prior revascularized occlusive acute myocardial infarction (AMI) or type 1 MI (T1MI) makes it crucial to define the clinical profile and outcomes of T2MI in revascularized patients of ACS.

Purpose

To determine the risk and prognosis of T2MI in patients who had previously had coronary revascularization (PCI or CABG)

Methods

We used the National Inpatient Sample (2018) dataset from the United States to identify T2MI adult hospitalizations using ICD-10 codes and define our study arm as T2MI excluding secondary T1MI diagnoses but having prior revascularized (with percutaneous coronary intervention or coronary artery bypass grafting) AMI. We then compared demographics and comorbidities in T2MI cohort with vs without personal history of revascularized AMI. We used multivariate analysis to study the odds of T2MI hospitalizations with prior revascularized AMI and in-hospital outcomes (all-cause mortality, cardiogenic shock and resource utilization) adjusting for confounders.

Results

There were 33155 T2MI adult hospitalizations after excluding AMI (median age 71 years, 50.6% male, 67.3% white); 1435 (4.3%) had previously revascularized AMI. T2MI in the study arm had higher chances of hospitalization with prior revascularized AMI when adjusted for socio-demographics (aOR 6.92, 95% CI:6.50-7.36, p&lt;0.001) and socio-demographics with comorbidities (aOR 5.70, 95%CI: 5.48-5.94, p&lt;0.001) (Table 1). Study arm often had elderly (≥65 years old, 78.4% vs 65.8%), male (66.6% vs 49.9%), white (76.7% vs 66.9%), upper socio-economic class (20.2 vs 16.8%), patients who were often admitted to non-electively (99.3 vs 97.1%) and to rural (10.5 vs 9.3%) hospitalizations compared to control arm. The study arm had a significantly higher prevalence of diabetes mellitus, hyperlipidemia, peripheral vascular disease, chronic obstructive pulmonary disease, renal failure, deficiency anemias, prior TIA/stroke, depression and smoking. T2MI cohort with prior revascularized AMI did not show any significant association with in-hospital all-cause mortality (1.7 vs 3.0%, aOR 0.49, 95%CI 0.18-1.34, p=0.164) and cardiogenic shock (1.7% vs 2.1%, p=0.399) however, had lower hospital expenditure (median USD 31273 vs 36567) and fewer transfers to other facilities (19.5 vs 22.1%) than those without prior revascularized AMI (Table 2).

Conclusion

Population-based analysis of this nationally representative sample revealed up to six times higher risk of developing T2MI in patients with prior history of AMI (revascularized) but without any significant impact on all-cause in-hospital mortality or cardiogenic shock. Future studies are warranted to assess the short-term/long-term outcomes of T2MI in high risk patient population with previously revascularized AMI.

Clinical trial management: a profession in crisis?

Clinical trial managers play a vital role in the design and conduct of clinical trials in the UK. There is a current recruitment and retention crisis for this specialist role due to a complex set of factors, most likely to have come to a head due to the COVID-19 pandemic. Academic clinical trial units and departments are struggling to recruit trial managers to vacant positions, and multiple influences are affecting the retention of this highly skilled workforce. Without tackling this issue, we face major challenges in the delivery on the Department of Health and Social Care's Future of UK Clinical Research Delivery implementation plan. This article, led by a leading network of and for UK Trial Managers, presents some of the issues and ways in which national stakeholders may be able to address this.

Jewish cultural and religious factors and uptake of population-based BRCA testing across denominations: a cohort study

OBJECTIVE

To evaluate the association of Jewish cultural and religious identity and denominational affiliation with interest in, intention to undertake and uptake of population-based BRCA (Breast Cancer Gene)-testing.

DESIGN

Cohort-study set within recruitment to GCaPPS-trial (ISRCTN73338115).

SETTING

London Ashkenazi-Jewish (AJ) population.

POPULATION OR SAMPLE

AJ men and women, >18 years.

METHODS

Participants were self-referred, and attended recruitment clinics (clusters) for pre-test counselling. Subsequently consenting individuals underwent BRCA testing. Participants self-identified to one Jewish denomination: Conservative/Liberal/Reform/Traditional/Orthodox/Unaffiliated. Validated scales measured Jewish Cultural-Identity (JI) and Jewish Religious-identity (JR). Four-item Likert-scales analysed initial 'interest' and 'intention to test' pre-counselling. Item-Response-Theory and graded-response models, modelled responses to JI and JR scales. Ordered/multinomial logistic regression modelling evaluated association of JI-scale, JR-scale and Jewish Denominational affiliation on interest, intention and uptake of BRCA testing.

MAIN OUTCOME MEASURES

Interest, intention, uptake of BRCA testing.

RESULTS

In all, 935 AJ women/men of mean age = 53.8 (S.D = 15.02) years, received pre-test education and counselling through 256 recruitment clinic clusters (median cluster size = 3). Denominational affiliations included Conservative/Masorti = 91 (10.2%); Liberal = 82 (9.2%), Reform = 135 (15.1%), Traditional = 212 (23.7%), Orthodox = 239 (26.7%); and Unaffiliated/Non-practising = 135 (15.1%). Overall BRCA testing uptake was 88%. Pre-counselling, 96% expressed interest and 60% intention to test. JI and JR scores were highest for Orthodox, followed by Conservative/Masorti, Traditional, Reform, Liberal and Unaffiliated Jewish denominations. Regression modelling showed no significant association between overall Jewish Cultural or Religious Identity with either interest, intention or uptake of BRCA testing. Interest, intention and uptake of BRCA testing was not significantly associated with denominational affiliation.

CONCLUSIONS

Jewish religious/cultural identity and denominational affiliation do not appear to influence interest, intention or uptake of population-based BRCA testing. BRCA testing was robust across all Jewish denominations.

TWEETABLE ABSTRACT

Jewish cultural/religious factors do not affect BRCA testing, with robust uptake seen across all denominational affiliations.

Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications

Background

Epicardial adipose tissue (EAT) is a visceral fat deposit within the pericardial sac which surrounds the heart myocardium and coronary arteries. EAT volume has been demonstrated to be strongly associated with the development and prognosis of cardiovascular diseases, but its measurement is subjective and challenging in practice.

Purpose

To develop a deep-learning approach for automated segmentation of EAT from routine CCTA scans, that could assist clinical interpretation of CCTA.

Methods

A deep-learning method using a 3D Residual-U-Net neural network architecture for 3D volumetric segmentation of CCTA data was created. The network was trained on a diverse sample of 1900 CCTAs, each manually segmented by a single expert, drawn from the UK sites of the Oxford Risk Factors And Non-invasive imaging (ORFAN) Study. Three iterations of feedback learning were used to fine tune the algorithm for the segmentation of the whole heart within the bounds of the pericardium. In each iteration, the machine analysed sets of 100–250 unannotated CCTAs unseen by the machine which were then corrected by experts. EAT volumes were calculated by automated thresholding of adipose tissue (−190HU through −30HU) from within the bound of the pericardial segment (Figure 1). The network was then applied to 817 unseen CCTAs from US sites of the ORFAN Study. These scans were also segmented for ground truth by two experts blind to all other data. Comparisons between machine vs expert total pericardial volume and EAT volume were made using Lin's concordance correlation coefficient (CCC). The algorithm was then applied externally in 1588 CCTAs from the SCOTHEART trial (UK), and the EAT volume was automatically calculated for each case. Cross-sectional associations between standardised EAT volumes and prevalent AF and CAD were performed.

Results

Within both the internal (UK ORFAN sites) and external (USA ORFAN sites) validation cohorts correlation between human and machine segmented total pericardium and EAT was excellent, with CCC of 0.97 for both volumes (external validation cohort shown in Figure 2A). Utilising SCOTHEART CCTAs with automatically segmented EAT volumes, a multivariable-adjusted logistic regression model accounting for risk factors of age, sex, BMI, hypertension, diabetes mellitus, valvular disease, and previous heart surgery found that EAT volumes were significantly associated with prevalent AF, with odds ratio (OR) per 1 SD increase of EAT volume of 1.20 (95% CI, 1.06 to 1.44; P=0.03). A similar model for prevalent CAD, adjusted for age, sex, BMI, hypertension, non-HDL cholesterol, diabetes mellitus, and coronary artery calcium score resulted in an OR per 1 SD increase of EAT volume of 1.26 (95% CI, 1.10 to 1.45; P=0.001) (Figure 2B).

Conclusion

Highly accurate, reproducible, and instantaneous EAT volume quantification is possible utilising deep-learning detection of the whole human heart within the pericardial sac.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): British Heart FoundationNational Institute for Health Research - Oxford University Hospitals Biomedical Research Centre Figure 1Figure 2

Out-of-Pocket Payment for Ambulatory Blood Pressure Monitoring Among Commercially Insured in the United States

BACKGROUND

Clinical guidelines increasingly recommended ambulatory blood pressure monitoring (ABPM) for hypertension diagnosis and management. Yet, ABPM is used infrequently in the United States, possibly because of low insurance coverage and high patient costs. We sought to analyze out-of-pocket payments (OPPs) for ABPM among privately insured patients.

METHODS

We conducted a retrospective analysis using IBM® MarketScan® commercial claims of beneficiaries aged ≥18 years receiving ABPM from January 2012 to December 2018. The date of first ABPM claim (Healthcare Common Procedure Coding System codes 93784, 93786, 93788, or 93790) was considered the index date. Patients with 12 months of continuous enrollment preindex and 30-day postindex were included. Per beneficiary OPP was calculated by aggregating all ABPM-related OPPs within the 30-day postindex window (ABPM episode).

RESULTS

Of 22,317 beneficiaries receiving ABPM, 62% had $0 OPP and 38% had OPP >$0. Among the latter, median OPP per beneficiary for an ABPM episode was $23 (interquartile range [IQR], $14, $32), driven primarily by full ABPM claims (median, $22; IQR, $14, $24). Among individual components, scan analysis and report claims (median, $25; IQR, $13, $49) had the greatest OPP. The median OPP per ABPM episode did not change substantively from 2012 through 2018.

CONCLUSIONS

Among commercially insured in the United States, nearly 4-in-10 have an OPP for ABPM. Though most OPPs are relatively modest, some patients incur substantial OPP. Our findings highlight the need for policymakers to ensure adequate ABPM coverage in the commercial insurance marketplace.

Pulmonary artery injury in left atrial appendage closure device implantation: a systematic review of a potentially fatal complication

Background

Pulmonary artery (PA) injury is a rarely reported complication following percutaneous left atrial appendage closure (LAAC). This study aims to systematically review all reported cases of PA injury associated with LAAC.

Methods

PubMed/Medline, SCOPUS, EMBASE, Google Scholar and the MAUDE databases were searched to find studies reporting PA injury during or after LAAC with the Amplatzer Amulet (AA), Amplatzer Cardiac Plug (ACP) or Watchman device through October 2019. Categorical data were reported in terms of numbers and/or percentages (%).

Results

We found 13 cases (mean age 71.4 yrs) with reported PA injury associated with LAAC. Of these, 9 were case reports, 3 were reported in observational studies, and 1 was in the MAUDE database. Most cases (n=8) were reported in Europe followed by Australia (n=2) and Asia (n=2). The indication for device implantation in all patients was a high bleeding risk with anticoagulation for atrial fibrillation. Five cases were reported with the ACP (1/5 patients died), 5 with AA (2/5 patients died), and 3 with the Watchman (1/2 patients died). Acute and late presentations following implantation were reported for all three devices. 69.2% of cases (9/13) occurred acutely (during or within 24 hours of intervention). Of these, 3/9 occurred during device implantation. 2/4 of the delayed cases occurred &gt;2 weeks following implantation. The mortality rate for acute and delayed cases was 22% (2/9 patients) and 50% (2/4 patients), respectively. A majority of the cases were attributable to barb/strut/hook injury of the PA. PA injury was associated with a mortality rate of approximately 31%. All surviving patients were managed with surgical intervention.

Conclusion

PA injury is an infrequently reported complication following LAAC and is associated with high mortality. Cases can present acutely (intra-procedurally or within 24 hours) or delayed (&gt;24 hours post-implantation). A majority of cases are due to direct injury of the PA by the struts/hooks/barbs of the device. Practitioners should be cognizant of this life-threatening complication, which requires a high index of suspicion for diagnosis and can occur weeks after device implantation.

Funding Acknowledgement

Type of funding source: None

Rates and causes of readmissions following index admissions for Takotsubo syndrome-a meta-analysis of 118,941 index hospitalizations

Background

Rising trends in takotsubo syndrome (TTS)-related complications warrant data to identify the rate, causes and predictors of readmission on a large scale. We conducted the first-ever meta-analysis to evaluate the pooled rate of short-term and long-term readmissions after index TTS admissions.

Methods

PubMed/Medline, EMBASE and SCOPUS databases were systematically reviewed to find studies through October 2019 reporting rates and causes of readmission following index TTS admissions. Random effects models were used to estimate pooled rates and causes of readmissions and I2 statistics were used to report inter-study heterogeneity.

Results

A total of 16 cohorts with 118,941 TTS index admissions (mean age 65–75 yrs; female &gt;85%, median follow-up 272.5 days) revealed a 16.6% [95% CI-13.2%-20.3%, I2=99%] pooled rate of readmission. Short-term and long-term pooled readmission rates are displayed in Fig.1. The readmission rate was higher in cohorts with young patients (&lt;70 vs. &gt;70 yrs), smaller sample size (n&lt;100 vs. n&gt;100) and single-centres vs. multicentres. Studies published from the USA (16.4% vs. 14.9%) had a higher readmission rate as compared to Italy. The most frequent causes were cardiac (40.6%), respiratory (15.7%) and renal (7.0%). Among readmissions with cardiac diagnoses, heart failure was most common (40.1%).

Conclusions

This global meta-analysis revealed that the pooled rate of readmission following index TTS admissions was ∼17% and causes were mainly cardiac or respiratory.

Funding Acknowledgement

Type of funding source: None

Trends in ambulatory blood pressure monitoring use for confirmation or monitoring of hypertension and resistant hypertension among the commercially insured in the U.S., 2008-2017

Background

Ambulatory blood pressure monitoring (ABPM) has been increasingly recommended for diagnosis confirmation and monitoring in patients with new-onset hypertension and apparent treatment-resistant hypertension (aTRH). We assessed insurance claims submitted for ABPM among a nationally representative sample of commercially insured U.S. patients.

Methods

We conducted a retrospective cross-sectional analysis using the IBM MarketScan® commercial claims database from January 2008-December 2017, including 2 populations: those with incident treated hypertension (ITH; first antihypertensive filled) or aTRH (first overlapping use of 4 antihypertensive agents). We identified ABPM claims filed within 6 months before to 6 months after the qualifying antihypertensive fill and determined prevalence of ABPM use overall and by year in each population.

Results

In total, 2,820,303 patients met ITH criteria and 298,049 met aTRH criteria. Of those with ITH, 7650 (2.7 per 1000 persons) had ≥1 ABPM claim submitted, and annual ABPM prevalence ranged from 2.0 to 3.7 per 1000 persons, increasing over time (P _trend<0.0001). Among those with aTRH, 630 (2.1 per 1000 persons) had ≥1 ABPM claim submitted, and annual ABPM prevalence ranged from 1.6 to 2.7 per 1000 persons, decreasing over time (P _trend = 0.054). Timing of ABPM claims suggested they were used primarily for diagnosis confirmation in ITH, and more evenly distributed between diagnosis confirmation and monitoring in aTRH.

Conclusions

Despite guideline recommendations for more widescale use, ABPM appears to be used rarely in the U.S., with fewer than 0.5% of commercially insured patients with newly treated hypertension or aTRH having ABPM claims submitted to their insurance.

Prioritising health research in KwaZulu-Natal: has the research conducted met the research needs?

Background

The KwaZulu-Natal (KZN) Health Act of 2009 mandates the Provincial Health Research and Ethics Committee to develop health research priorities for the province. During 2013, the KZN Department of Health embarked on a research prioritisation process for the province. Priority research questions were generated by an inclusive process, in which a variety of stakeholders in health research in the province were engaged. The aim of this study was to determine whether research conducted at public health facilities in KZN between 01 January 2014 and 31 March 2017 met the research priorities of the province developed through the provincial research prioritisation process of 2013.

Methods

This was a mixed methods study. Qualitative thematic analysis was used to categorise priority research questions generated in the priority-setting process and the titles of research projects conducted after that process into themes. Quantitative analysis was used to determine the correlation between themes of the priority questions, and those of the research projects conducted after the prioritisation exercise. Statistical Package for Social Science version 25 was used to analyse the data.

Results

In 72% of thematic areas, there were disproportionately more priority questions than there were research projects conducted. There is thus a large disjuncture between the priorities developed through the provincial research prioritisation process of 2013 and the research projects conducted after that process in terms of major research areas.

Conclusions

Ensuring that research conducted responds to priority questions raised is important because it ensures that research responds to locally important issues and to the concerns of local actors. Local health managers, communities and researchers should work together to ensure that the research conducted in their areas respond to the research priorities of those areas. Health Research Committees and local ethics committees can play important roles in facilitating the responsiveness to research priorities.

Circulating Sex Steroid Measurements of Men by Mass Spectrometry Are Highly Reproducible after Prolonged Frozen Storage

Long-term studies investigating hormone-dependent cancers and reproductive health often require prolonged frozen storage of serum which assumes that the steroid molecules and measurements are stable over that time. Previous studies of reproducibility of circulating steroids have relied upon flawed historical rather than contemporaneous controls. We measured serum testosterone (T), dihydrotestosterone (DHT), estradiol (E2) and estrone (E1) in 150 randomly selected serum samples by liquid chromatography-mass spectrometry (LC-MS) from men 70 years or older (mean age 77 years) in the CHAMP study. The original measurements in 2009 were repeated 10 years later using the identical serum aliquot (having undergone 2-4 freeze-thaw cycles in the interim) in 2019 together with another never-thawed aliquot of the same serum sample. The results of all three sets of measurements were evaluated by Passing-Bablok regression and Bland-Altman difference analysis. Serum androgens (T, DHT) and estrogens (E2, E1) measured by LC-MS display excellent reproducibility when stored for 10 years at -80 C without thawing. Serum T and DHT displayed high level of reproducibility across all three sets of measurements. Multiple freeze-thaw cycles over those storage conditions do not significantly affect serum T, DHT and E1 concentrations but produce a modest increase (21%) in serum E2 measurements.

Reimbursement of ambulatory blood pressure monitoring in the US commercial insurance marketplace

Ambulatory blood pressure monitoring (ABPM) is increasingly recommended for confirming hypertension diagnosis and ongoing hypertension monitoring. However, reimbursement in the United States is variable and low compared with other advanced health care systems. We examined the reimbursement of ABPM and factors associated with successful reimbursement. A retrospective analysis of IBM MarketScan^® commercial claims database was conducted for patients ≥18 years with ≥1 ABPM claim from January 2012 to December 2016. The date of first the ABPM claim was used as the index date. Per-beneficiary ABPM episode reimbursements were calculated by aggregating all ABPM-related reimbursements within a 30-day post-index window, considered as an ABPM episode. Multivariable logistic regression was used to identify predictors of successful reimbursement. Of 20 875 beneficiaries with ABPM claims, 16 920 (81.0%) were reimbursed. The median reimbursement per beneficiary for an ABPM episode was $89 (Inter Quartile Range [IQR], $62, $132), driven primarily by reimbursement for the full procedure (median, $86; IQR, $66, $110). Comparing benefit plan types, consumer-directed health plans provided the highest median reimbursement ($96; IQR, $61, $175). Successful reimbursement was associated with female patient sex (adjusted OR [aOR], 1.20; 95% CI, 1.11-1.28), having a health maintenance organization (aOR 2.11; 95% CI, 1.82-2.43) or point of service (aOR 2.08; 95% CI, 1.74-2.49) as benefit plan types, claim filing by a specialist (aOR 1.26; 95% CI, 1.14-1.40) and services provided at an outpatient hospital (aOR 1.17; 95% CI, 1.01-1.35). Among commercially insured Americans, our data suggest significant variability in successful reimbursement. Accordingly, more uniform criteria for ABPM reimbursement may facilitate greater use of guideline-recommended monitoring.

Excess Costs and Economic Burden of Obesity-Related Cancers in the United States

BACKGROUND

Obesity is a significant risk factor of several cancers that imposes a substantial economic burden on US healthcare that remains to be quantified. We estimated the excess costs and economic burden of obesity-related cancers in the United States.

METHODS

From the Medical Expenditure Panel Survey (2008-2015) data, we identified 19 405 cancer survivors and 175 498 non-cancer individuals. We estimated annual health expenditures using generalized linear regression with log link and gamma distribution by cancer types (stratified by 11 obesity-related cancers and other cancer types), controlling for sociodemographic and clinical characteristics. All cost estimates were adjusted to 2015 USD value.

RESULTS

The average annual total health expenditures were $21 503 (95% CI, $20 946-$22 061) for those with obesity-related cancer and $13 120 (95% CI, $12 920-$13 319) for those with other cancer types. There was a positive association between body mass index and health expenditures among cancer survivors: for each additional 5-unit increase in body mass index, the average predicted expenditures increase by $1503 among those with obesity-related cancer and by $722 among those with other cancers. With adjustments for sociodemographic and clinical characteristics, the mean incremental expenditures of treating obesity-related cancer were 2.1 times higher than those of other cancers ($4492 vs $2139) and more considerable among the non-elderly cancer population. Obesity-related cancers accounted for nearly 43.5% of total direct cancer care expenditures, estimated at $35.9 billion in 2015.

CONCLUSION

The economic burden of obesity-related cancer in the United States is substantial. Our findings suggest a need for the inclusion of comprehensive obesity prevention and treatment in cancer care.

Implementation process for comprehensive medication review in the community pharmacy setting

OBJECTIVES

To (1) describe the implementation process for comprehensive medication reviews (CMRs) among community pharmacies (e.g., processes for prioritizing patients, staffing, and information collection) and (2) examine factors associated with community pharmacies' CMR information collection process.

METHODS

A survey was administered to the pharmacist responsible for implementation of CMRs (i.e., the lead pharmacist) in the community pharmacy (n = 87). The survey included questions about pharmacy characteristics, satisfaction with the NC community pharmacy enhanced services network (NC-CPESN) program, and implementation of CMRs. Frequencies and means were calculated to describe the sample characteristics and pharmacies' CMR implementation process. A multiple linear regression was conducted to examine which characteristics were associated with the CMR information collection process.

RESULTS

The majority of pharmacies in the sample were either independently owned single stores (46.5%) or multiple stores under the same independent ownership (41.6%). Most pharmacies used pharmacists (97.7%) or pharmacy technicians (65.5%) for patient outreach for CMRs. A small percentage of pharmacies used administrative staff to conduct patient outreach for CMRs (9.2%). Information for prescription medications (89.5%), indication (80%), and medication adherence (81.1%) was routinely collected. Information such as date of last dose for prescription medications (48.4%) and lifestyle factors, such as physical activity (21.1%), diet (29.5%), and alcohol (31.6%), was collected less routinely. Having a clinical pharmacist (P = 0.025) and pharmacist overlap hours (P = 0.009) significantly improved the CMR information collection process.

CONCLUSION

Although CMRs are important interventions for improving patient outcomes, more guidance is needed on how to effectively implement them. This would allow the process to be efficient and assure implementation with fidelity across all community pharmacies. In addition, staffing appears to influence the quality of CMR information collection. Future research is warranted on CMR implementation to develop efficient staffing models and standardize the process of information collection.

Tackling smoking among out of school youth in South Africa: An analysis of friendship ties

Background

Friendships during adolescence play a significant role in the initiation and maintenance of tobacco use. Smoking behaviour among adolescent friends has not been explored among out of school youth (OSY) in South Africa. Out of school youth (OSY), described as those between 13 and 20 years old, have not completed their schooling and are not currently enrolled in school, are at greater risk for tobacco use.

Aim

The main aim of this study is to examine whether the smoking behaviour of OSY is associated with that of their OSY friends.

Methods

Respondent driven sampling was used to recruit OSY and their OSY friends. A mixed effects logistic regression with a random intercept across school-province combinations was used to analyse survey data. Race and gender were also incorporated into the analyses as effect moderators (n = 391).

Results

Results of this study confirm that cigarette smoking was common among OSY and their OSY friends, with 53.5% of the respondents smoking in the past month (SD = 0.44). When OSY friends were either all non-smokers or half their friends were non-smokers, Coloured (mixed race) OSY were less likely to smoke compared to Black African and Other (mostly Asian descent) OSY.

Conclusion

Cultural norms and values associated with the different race groups may play a role in the smoking behaviour of out of school youth friends. Understanding this relationship is useful for identifying those OSY that are vulnerable to the behaviours that place them at risk of tobacco related morbidity and mortality.

•

Smoking was common among out of school youth and their out of school youth friends.

•

Racial differences were found in out of school youth smoking and their friends.

•

Cultural norms and values influence smoking behaviour of out of school youth friends.

Mental Health Comorbidities and Elevated Risk of Opioid Use in Elderly Breast Cancer Survivors Using Adjuvant Endocrine Treatments

PURPOSE:

Prolonged opioid use is common and associated with lower survival rates in breast cancer survivors. We explored whether opioid use in elderly breast cancer survivors using adjuvant endocrine therapy (AET) regimens was affected by the prevalence of mental health comorbidity and, in turn, how this affected survival in this population.

METHODS:

This retrospective study analyzed 2006 to 2012 SEER-Medicare data sets and followed patients for at least 2 years from the index date, defined as the first date they filled an AET prescription. The study included adult women with incident, primary, hormone receptor–positive, stage I to III breast cancer. They were also first-time AET users and fee-for-service Medicare enrollees continuously enrolled in Medicare Parts A, B, and D. We measured whether patients with a clinical diagnosis of a mental health comorbid condition used opioids after the initiation of AET and their survival at the end of the study period.

RESULTS:

A total of 10,452 breast cancer survivors who began AET treatments were identified, among whom the most commonly diagnosed mental health comorbidities were depression (n = 554) and anxiety (n = 246). Using a propensity score risk adjustment model, we found that opioid use was significantly higher in women with a mental health comorbidity (odds ratio,1.33; 95% CI, 1.06 to 1.68). In addition, mental health comorbidity was associated with a significantly increased hazard of mortality in this population (hazard ratio, 1.49; 95% CI, 1.02 to 2.18).

CONCLUSION:

The presence of mental health comorbidity in breast cancer survivors significantly increases the risk of opioid use and mortality, which highlights the need for better management of comorbid mental health conditions.

Abstract P2067: Trends in Ambulatory and Home Blood Pressure Monitoring Use for Confirmation of Hypertension or Resistant Hypertension Among the Commercially-Insured in the U.S., 2008-2017

Objectives: Out-of-office BP measurement, including ambulatory and home BP monitoring (ABPM, HBPM, respectively) are considered the gold standard for hypertension and treatment-resistant hypertension (TRH) confirmation, but their real-world use is not well-studied. We examined recent trends in submitted claims for ABPM and HBPM among commercially-insured U.S. adults with suspected hypertension or TRH.

Methods: Using Truven commercial claims data (2008–2017), we identified adults (age ≥18 years) with hypertension, and ≥1 antihypertensive medication fill. We evaluated CPT codes for claims submitted for ABPM and HBPM from 6 months before to 1 month after initial antihypertensive drug use (incident treated hypertension [ITH] cohort) or the first occurrence of overlapping use of ≥4 antihypertensive drugs (incident TRH cohort). We excluded persons without continuous enrollment during the 7-month observation period.

Results: Overall, 3,378,645 patients with ITH and 335,200 with incident TRH met inclusion criteria. Of those with ITH, 13,063 (3.9 per 1,000 persons) had ≥1 ABPM or HBPM claim between 6 months prior to and 1 month after initiating treatment. The annual proportion of patients with ≥1 claim ranged from 1.6 to 3.0 per 1,000 for ABPM and 1.3 to 2.1 per 1,000 for HBPM. Among those with incident TRH, 1126 (3.4 per 1,000) had ≥1 ABPM or HBPM claim between 6 months prior to and 1 month after initiating a fourth agent. The annual proportion with ≥1 claim ranged from 1.2 to 2.0 per 1,000 persons for ABPM and 1.1 to 2.9 per 1,000 for HBPM. From 2008 to 2017, use of ABPM modestly increased in the ITH cohort and decreased in the TRH cohort; no time trends were observed with HBPM. Sensitivity analyses suggested that ABPM was used most often for diagnosis confirmation (especially in the ITH cohort), followed by treatment monitoring, whereas HBPM was distributed more evenly.

Conclusion: Our findings suggest ABPM is used rarely for guiding treatment initiation decisions among those with incident hypertension or apparent TRH. Claim submissions for HBPM were similarly low,

but a significant proportion of HBPM may occur without attempting reimbursement. Future research is needed to understand the factors responsible for low utilization, billing and coverage of these services.

Use of Social Media in Health Communication: Findings From the Health Information National Trends Survey 2013, 2014, and 2017

The number of social media users has increased substantially in the past decade, creating an opportunity for health-care professionals and patients to leverage social media for health communication. This study examines the recent use and predictors of social media for health communication in a nationally representative sample of US adults over time. We used 2013, 2014, and 2017 National Cancer Institute’s Health Information National Trends Survey to identify respondents’ use of social media for sharing health information or exchanging medical information with a health-care professional. We conducted bivariate analysis using the Pearson χ² test to assess the association of respondents’ basic demographic characteristics as well as health status and the use of social media for health communication. We performed multivariable logistic regression models to examine factors associated with the use of social media for health communication. We identified 4242 respondents (weighted sample size: 343 465 241 [2-year pooled sample]) who used social media for sharing health information and 4834 respondents (weighted sample size: 354 419 489 [2-year pooled sample]) who used social media for exchanging medical information. Multivariable analyses indicated the proportion of respondents who used social media for sharing health information has decreased (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.49-0.85, P = .002), while the use of social media for exchanging medical information with a health-care professional has increased (OR, 1.88; 95% CI, 1.09-3.26, P = .025). The younger population had significantly higher odds of using social media for health communication. The study found no racial/ethnic disparities in the use of social media for health communication. Use of social media for sharing health information has declined, while exchanging medical information with health-care professionals has increased. Future research is needed to determine how to engage the population in social media–based health interventions, particularly for older adults.

Exploring co-occurrence patterns between organic micropollutants and bacterial community structure in a mixed-use watershed

Complex mixtures of low concentrations of organic micropollutants are commonly found in rivers and streams, but their relationship to the structure of native bacterial communities that underlie critical ecological goods and services in these systems is poorly understood. To address this knowledge gap, we used correlation-based network analysis to explore co-occurrence patterns between measured micropollutant concentrations and the associated surface water and sediment bacterial communities in a restored riparian zone of the Des Plaines River (DPR) in Illinois that is impacted by both wastewater treatment plant (WWTP) effluent and agricultural runoff. Over a two year period, we collected 55 grab samples at 11 sites along the DPR and one of its tributaries (48 surface water samples) and from WWTP effluent (7 samples), and screened for 126 organic micropollutants. In parallel, we used high-throughput 16S rRNA gene amplicon sequencing to characterize the bacterial community in sediment and surface water. Our results revealed quantifiable levels of 102 micropollutants in at least one surface water or WWTP effluent sample, 85 of which were detected in at least one surface water sample. While micropollutants were temporally and spatially variable in terms of both presence and concentration, 21 micropollutants were measured in over 75% of the 48 surface water samples. 16S rRNA gene sequencing documented diverse bacterial communities along the DPR transect, with highly distinct community structures observed in sediment and water. Bacterial community structure in surface water, but not in sediment, was significantly associated with concentrations of micropollutants, based on a Mantel test. Correlation-based network analyses revealed diverse strong and significant co-occurrence and co-exclusion patterns between specific bacterial OTUs and both micropollutant groups (defined based on k-means clustering on chemical substructure) and individual micropollutants. Significantly more associations were documented between micropollutants and bacterial taxa in the water compared to the sediment microbiomes. Taken together, our results document a significant link between complex mixtures of micropollutants commonly found in aquatic systems and associated bacterial community structure. Furthermore, our results suggest that micropollutants may exert a more significant impact on water-associated than on sediment-associated bacterial taxa.

Attitude towards and factors affecting uptake of population-based BRCA testing in the Ashkenazi Jewish population: a cohort study

OBJECTIVE

To evaluate factors affecting unselected population-based BRCA testing in Ashkenazi Jews (AJ).

DESIGN

Cohort-study set within recruitment to the GCaPPS trial (ISRCTN73338115).

SETTING

North London AJ population.

POPULATION OR SAMPLE

Ashkenazi Jews women/men >18 years, recruited through self-referral.

METHODS

Ashkenazi Jews women/men underwent pre-test counselling for BRCA testing through recruitment clinics (clusters). Consenting individuals provided blood samples for BRCA testing. Data were collected on socio-demographic/family history/knowledge/psychological well-being along with benefits/risks/cultural influences (18-item questionnaire measuring 'attitude'). Four-item Likert-scales analysed initial 'interest' and 'intention-to-test' pre-counselling. Uni- and multivariable logistic regression models evaluated factors affecting uptake/interest/intention to undergo BRCA testing. Statistical inference was based on cluster robust standard errors and joint Wald tests for significance. Item-Response Theory and graded-response models modelled responses to 18-item questionnaire.

MAIN OUTCOME MEASURES

Interest, intention, uptake, attitude towards BRCA testing.

RESULTS

A total of 935 individuals (women = 67%/men = 33%; mean age = 53.8 (SD = 15.02) years) underwent pre-test genetic-counselling. During the pre-counselling, 96% expressed interest in and 60% indicated a clear intention to undergo BRCA testing. Subsequently, 88% opted for BRCA testing. BRCA-related knowledge (P = 0.013) and degree-level education (P = 0.01) were positively and negatively (respectively) associated with intention-to-test. Being married/cohabiting had four-fold higher odds for BRCA testing uptake (P = 0.009). Perceived benefits were associated with higher pre-counselling odds for interest in and intention to undergo BRCA testing. Reduced uncertainty/reassurance were the most important factors contributing to decision-making. Increased importance/concern towards risks/limitations (confidentiality/insurance/emotional impact/inability to prevent cancer/marriage ability/ethnic focus/stigmatisation) were significantly associated with lower odds of uptake of BRCA testing, and discriminated between acceptors and decliners. Male gender/degree-level education (P = 0.001) had weaker correlations, whereas having children showed stronger (P = 0.005) associations with attitudes towards BRCA testing.

CONCLUSIONS

BRCA testing in the AJ population has high acceptability. Pre-test counselling increases awareness of disadvantages/limitations of BRCA testing, influencing final cost-benefit perception and decision-making on undergoing testing.

TWEETABLE ABSTRACT

BRCA testing in Ashkenazi Jews has high acceptability and uptake. Pre-test counselling facilitates informed decision-making.

Utilization of pain medications and its effect on quality of life, health care utilization and associated costs in individuals with chronic back pain

Purpose

Pain medications are widely prescribed to treat chronic back pain (CBP). However, the effect of using pain medications on individuals with CBP has received very little attention.

Objective

The aim of this study was to determine the patterns of pharmacological treatment in the population with CBP and assess its impact on quality of life, health care utilization and associated costs in USA.

Patients and methods

Retrospective, cross-sectional data obtained from the Medical Expenditure Panel Survey (MEPS), from 2011 to 2015, were utilized for this study. Pharmacological treatment for CBP was categorized into three mutually exclusive categories: 1) opioids only, 2) nonsteroidal anti-inflammatory drugs (NSAIDs) only, 3) opioids and NSAIDs (combination). The effect of the use of these treatments was also evaluated.

Results

A total of 5,203 individuals with CBP were identified. Of these, 2,568 (49.4%) utilized opioids only, 1,448 (27.8%) utilized NSAIDs only and 1,187 (22.8%) utilized both pain medications. Lower health-related quality-of-life scores on both the Short Form Health Survey-12 version 2 (SF-12v2) components (mental component summary score: 44.42 vs 46.67, P<0.001; physical component summary score: 35.34 vs 40.11, P<0.001) were observed for the opioid-only group compared to the NSAID-only group. In addition, individuals utilizing opioids only had greater utilization of inpatient services, office-based services, outpatient services and emergency room visits along with higher related health care costs.

Conclusion

Future researchers need to investigate the long-term risks and benefits of opioids, and policy makers should evaluate the prescribing guidelines to aim for a more patient-centered care.

Effects of Medication Nonadherence and Comorbidity on Health Resource Utilization in Schizophrenia

BACKGROUND

Medication nonadherence to antipsychotic drugs, which is commonly seen in patients with schizophrenia who have comorbidities, not only affects the quality of life of individuals suffering from the condition, but can also lead to worsening of disease condition, adverse outcomes, excessive use of health care resources, and higher medical costs.

OBJECTIVE

To determine the effect of nonadherence to antipsychotics and related disease comorbidities on medical care utilization with respect to inpatient hospital visits, outpatient visits, office visits, and emergency room (ER) visits.

METHODS

Retrospective, cross-sectional research data was obtained from the Medical Expenditure Panel Surveys (MEPS) for the years 2010-2014. The proportion of days covered (PDC) adherence measure was used to identify and classify individuals as adherent (PDC ≥ 80%) or nonadherent (PDC < 80%). A logistic regression analysis was used to further examine the effect of key study variables and comorbidity on medication nonadherence in patients with schizophrenia. Using the Student's t-test, population characteristics were statistically compared between the adherent and nonadherent populations and between populations with comorbidities and without comorbidities with respect to inpatient, outpatient, office, and ER visits.

RESULTS

Of 1.2 million people who reported having schizophrenia in MEPS from 2010 to 2014, as many as 71% were found to be nonadherent to antipsychotic medications (PDC < 80%). Results showed that women (OR = 3.594, 95% CI = 1.33-11.40, P = 0.030) and people with less than 15 years of education (OR = 20.85, 95% CI = 3.91-111.09, P = 0.0005) were more likely to be nonadherent to antipsychotic medications than all other demographics. Compared with the adherent schizophrenia population (n = 353,349), the nonadherent population (n = 868,737) had greater utilization of outpatient visits (0.68 vs. 1.92, P < 0.0001) and office visits (10.95 vs. 18.21, P < 0.0001) but had lower utilization of inpatient visits (0.82 vs. 0.45, P < 0.0001) and ER visits (1.03 vs. 0.79, P = 0.1036). Compared with the schizophrenia population without comorbidities, the population with comorbidities (a classification based on a Charlson Comorbidity Index score of ≥ 1) had greater utilization of inpatient (0.39 vs. 0.76, P < 0.0001); office (13.39 vs. 19.34, P < 0.0001); and ER visits (0.39 vs. 1.41, P < 0.0001) but had lower utilization of outpatient visits (1.86 vs. 1.21, P < 0.0001).

CONCLUSIONS

Greater medical care resources are used by nonadherent populations with schizophrenia and comorbidities than those without comorbidities. Together, nonadherence and comorbidities pose significant risks to patients with schizophrenia, in clinical and financial terms, and addressing problems stemming from such risks should be an area of priority in schizophrenia management.

DISCLOSURES

No outside funding supported this study. The authors have no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Depression treatment use among stroke individuals with depression: A cross-sectional analysis of the Medical Expenditure Panel Survey

BACKGROUND

Depression is the most prevalent psychiatric comorbidity among stroke individuals. Despite the effectiveness of antidepressants and psychotherapy, data on the use of these treatments among stroke survivors is limited.

OBJECTIVE

The main objective of this study was to document prevalence of antidepressant use, types of antidepressants utilized, and adherence to antidepressants among stroke individuals.

METHODS

Retrospective, cross-sectional data obtained from the Medical Expenditure Panel Surveys (MEPS), for the years 2011, 2013 and 2015, was utilized for this study. Treatment for depression was categorized into three mutually exclusive categories: 1) antidepressants only, 2) antidepressants and psychotherapy (combination), and 3) No treatment. Adherence to antidepressants was measured using the Proportion of Days Covered (PDC) ratio. Adherence between antidepressant only and combination therapy group was compared using Student's t-test. A multinomial logistic regression analysis was used to further examine the association between patient characteristics and likelihood of receiving depression treatment.

RESULTS

A total of 759 stroke individuals with comorbid depression were identified. Of these, 51.2% utilized only antidepressants, 12.6% utilized a combination treatment of antidepressants and psychotherapy and 31.7% did not receive treatment for depression. Selective Serotonin Reuptake Inhibitors (SSRI's) was the most commonly used antidepressants in the stroke population. Males (P = 0.04), age group of 40-64 years (P < 0.001), and African Americans (P = 0.02) constituted for the highest proportions of untreated stroke survivors. Among treated stroke individuals, adherence was higher for combination therapy users compared to those using antidepressants only (mean PDC = 65.8 ± 6.89 and 57.6 ± 3.74, respectively).

CONCLUSION

Almost 70% of stroke individuals received some form of treatment for depression and several patient-related factors (gender, age, race, marital status, and comorbidity burden) were associated with the utilization of depression treatment. Future researchers need to investigate the factors responsible for lack of depression treatment in stroke individuals and policy makers should aim for a more patient centered care.

Risk for Medication Nonadherence Among Medicaid Enrollees With Fibromyalgia: Development of a Validated Risk Prediction Tool

OBJECTIVE

To develop and validate a risk assessment tool called the Prescription Medication Non-Adherence Prediction Tool (Rx-NAPT) to predict medication nonadherence in patients with fibromyalgia.

METHODS

This was a retrospective cohort study using claims data from South Carolina Medicaid. Patients with fibromyalgia who were ≥18 years old and who had filled at least 1 prescription medication for pregabalin, duloxetine, or milnacipran from January 1, 2005, through June 30, 2011 were included. Medication possession ratios (MPRs) were calculated to classify patients as adherent (MPR ≥ 80%) or nonadherent (MPR < 80%). Multivariable logistic models using 100 bootstrap replications (with replacement) were used to identify factors associated with medication nonadherence, including age, gender, race, days' supply, medication type, and fibromyalgia-related comorbidity score. Weighted β coefficients of the predictors were used to create the Rx-NAPT. Youden's J statistic was used to classify nonadherent patients into different levels of risk.

RESULTS

The study sample comprised 6,626 patients with fibromyalgia, where 4,804 (72.50%) were non-adherent and 1,822 (27.50%) were adherent to their prescribed medication(s). Logistic regression models showed that 7 predictors (gender, age, race, fibromyalgia-related comorbidity score, medication type, health maintenance organization coverage, emergency room visit) were statistically significant in ≥50% of the bootstrapped samples. The final model demonstrated reasonable discrimination (area under the curve [AUC] = 0.6224) and calibration (Hosmer-Lemeshow goodness-of-fit; P > 0.05) statistics and was validated internally (AUC = 0.6372).

CONCLUSION

Poor adherence with medication remains an important barrier to providing optimal care. Our risk prediction model provides an easy tool to help clinicians better identify patients with fibromyalgia who may not take their medications as prescribed.

Neonatal hyperlipidemia with pancreatitis: Novel gene mutation of lipoprotein lipase

Lipoprotein lipase (LPL) deficiency is an autosomal recessive metabolic disorder with varying presentation in infancy and childhood, whereas clinical manifestations are rare in neonatal period. The estimated prevalence is one in a million births. A 23-day-old baby was admitted with complaints of fever, vomiting, and lethargy. Blood sample drawn appeared lipemic. Lipemia retinalis was noted on funduscopic examination. Biochemical analysis revealed abnormal lipid profile with severe hypertriglyceridemia (10,300 mg/dL) and elevated serum lipase level (517 IU/L) indicative of LPL deficiency with acute pancreatitis. LPL deficiency was suspected and was confirmed by molecular genetic testing, which revealed a novel mutation in LPL gene. Dietary management and gemfibrozil were started following which serum triglyceride level decreased and serum lipase level normalized. The patient is following up regularly for growth and development monitoring.