Cardiovascular Risk in the Lung Cancer Screening Population: A Multicenter Study Evaluating the Association Between Coronary Artery Calcification and Preventive Statin Prescription.

OBJECTIVE: Coronary artery calcification (CAC) is a marker of atherosclerotic cardiovascular disease (ASCVD), the leading cause of death in individuals receiving lung cancer screening (LCS) with low-dose CT. Our purpose was to determine the proportion of the LCS population eligible for primary ASCVD preventive statin therapy by American College of Cardiology/American Heart Association guidelines, assess statin prescription rates among statin-eligible individuals, and determine associations of CAC on downstream statin prescribing within 90 days of LCS. METHODS: Individuals receiving LCS between January 1, 2016, and December 31, 2018, across three centers were retrospectively enrolled. Statin eligibility in individuals without pre-existing ASCVD was determined by 2013 American College of Cardiology/American Heart Association guidelines: (1) low-density lipoprotein ≥190 mg/dL, (2) diabetes, or (3) ASCVD risk score ≥7.5%. CAC presence and severity (mild, moderate, heavy) were extracted from LCS reports. Variation in statin prescription rates and associations between CAC and statin prescription were determined using mixed-effects logistic regression. RESULTS: Of 5,495 individuals receiving LCS, 31.4% (1,724 of 5,495) had pre-existing ASCVD. Of the remaining 3,771 individuals, 73.6% were statin eligible (2,777 of 3,771). However, most lacked statin prescription (60.5%, 1,681 of 2,777). CAC was associated with downstream statin prescribing (adjusted odds ratio = 2.60, 95% confidence interval: 1.12-6.02), with a higher likelihood of statin prescribing with increasing CAC severity (adjusted odds ratio = 2.21, 95% confidence interval: 1.35-3.60). CONCLUSION: Although most of the LCS population is eligible for guideline-directed statin therapy, statins are underprescribed in this group. Radiologist reporting of CAC at LCS reflects a potential opportunity to raise awareness of ASCVD risk and improve preventive statin prescribing.

Patient-reported causes of distress predict disparities in time to evaluation and time to treatment after breast cancer diagnosis.

BACKGROUND: We examined whether the National Comprehensive Cancer Network distress thermometer (DT), a patient-reported outcome measure, could be used to identify levels and causes of distress associated with racial/ethnic disparities in time to care among patients with breast cancer. METHODS: We identified women aged ≥18 years with stage 0-IV breast cancer who were diagnosed in a single health system between January 2014 and July 2016. The baseline visit was defined as the first postdiagnosis, pretreatment clinical evaluation. Zero-inflated negative binomial (ZINB) regression (modeling non-zero DT scores and DT scores = 0) and logistic regression (modeling DT score ≥ 4, threshold for social services referral) were used to examine associations between baseline score (0 = none to 10 = extreme) and types of stressors (emotional, familial, practical, physical, spiritual) after adjustment for race/ethnicity and other characteristics. Linear regression with log transformation was used to identify predictors of time to evaluation and time to treatment. RESULTS: A total of 1029 women were included (median baseline DT score = 4). Emotional, physical, and practical stressors were associated with distress in both the ZINB and logistic models (all P < .05). Black patients (n = 258) were more likely to report no distress than Whites (n = 675; ZINB zero model odds ratio, 2.72; 95% CI, 1.68-4.40; P < .001) despite reporting a similar number of stressors (P = .07). Higher DT scores were associated with shorter time to evaluation and time to treatment while being Black and having physical or practical stressors were associated with delays in both (all P < .05). CONCLUSIONS: Patient-reported stressors predicted delays in time to care, but patient-reported levels of distress did not, with Black patients having delayed time to care despite reporting low levels of distress. We describe anticipatory, culturally responsive strategies for using patient-reported outcomes to address observed disparities.

Overall health at diagnosis predicts the risk of complications within the first year after breast cancer diagnosis.

PURPOSE: Breast cancer patients with overall poor health are at a greater risk of both complications during treatment and mortality from competing causes. We sought to determine the association of pre-existing comorbidities on treatment-related complications and overall survival. METHODS: We identified women ages 40-90 years old from our institutional registry with stage I-II invasive breast cancer from 2005 to 2014. Recursive partitioning was used to stratify women based on pre-existing comorbidities as low, moderate, or high risk of treatment-associated complications. Cox proportional hazards model was constructed to estimate the association of risk with overall survival. RESULTS: 2077 women were studied. Mean age was 60 (IQR 51-68). Over half (54%) had ≥ 1 comorbid condition, and 29% experienced at least one adverse medical event within 1 year of diagnosis. Risk categories included low (no comorbidities or hypertension), moderate (combinations of comorbidities excluding congestive heart failure), and high (congestive heart failure in isolation or in combination with other conditions). High-risk women had a lower 10-year OS compared to moderate- or low-risk women (89% vs 90% vs 96%, log-rank p < 0.001). After adjustment, being at moderate (HR 2.20, 95% CI 1.30-3.72, p = 0.003) or high risk (HR 5.07, 95% CI 1.66-15.52, p = 0.004) of adverse sequelae was associated with reduced OS compared to those at low risk of these adverse medical events. CONCLUSIONS: Following breast cancer diagnosis, overall poor health was associated with a greater risk of mortality and complications within the first year of treatment, which was driven by a pre-existing diagnosis of congestive heart failure.

The effect of treatment on patient-reported distress after breast cancer diagnosis.

BACKGROUND: The National Comprehensive Cancer Network (NCCN) Distress Thermometer (DT) uses a 10-point scale (in which 0 indicates no distress and 10 indicates extreme distress) to measure patient-reported distress. In the current study, the authors sought to examine the relationship between treatment and NCCN DT scores in patients with breast cancer over time. METHODS: The authors included women aged ≥18 years who were diagnosed with stage 0 to stage IV breast cancer (according to the seventh edition of the American Joint Commission on Cancer staging system) at a 3-hospital health system from January 2014 to July 2016. Linear mixed effects models adjusted for covariates including stage of disease, race/ethnicity, insurance, and treatment sequence (neoadjuvant vs adjuvant) were used to estimate adjusted mean changes in the DT score (MSCs) per week for patients undergoing lumpectomy, mastectomy only, and mastectomy with reconstruction (MR). RESULTS: The authors analyzed 12,569 encounters for 1029 unique patients (median score, 4; median follow-up, 67 weeks). Patients treated with MR (118 patients) were younger and more likely to be married, white, and privately insured compared with patients undergoing lumpectomy (620 patients) and mastectomy only (291 patients) (all P < .01). After adjusting for covariates, distress scores were found to decline significantly across all 3 surgical cohorts, with patients undergoing MR found to have both the most preoperative distress and the greatest decline in distress prior to surgery (MSC/week: -0.073 for MR vs -0.031 for lumpectomy vs -0.033 for mastectomy only; P = .001). Neoadjuvant therapy was associated with a longitudinal decline in distress for patients treated with lumpectomy (-1.023) and mastectomy only (-0.964). Over time, ductal carcinoma in situ (-0.503) and black race (-1.198) were found to be associated with declining distress among patients treated with lumpectomy and MR, respectively, whereas divorced patients who were treated with mastectomy only (0.948) and single patients treated with lumpectomy (0.476) experienced increased distress (all P < .05). CONCLUSIONS: When examined longitudinally in consecutive patients, the NCCN DT can provide patient-reported data to inform expectations and guide targeted support for patients with breast cancer.