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Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer.

ABSTRACT: BACKGROUND:Baseline cardiovascular disease (CVD) can impact the patterns of treatment and hence the outcomes of patients with lung cancer. This study aimed to characterize treatment trends and survival outcomes of patients with pre-existing CVD prior to their diagnosis of lung cancer. METHODS:We conducted a retrospective, population-based cohort study of patients with lung cancer diagnosed from 2004 to 2015 in a large Canadian province. Multivariable logistic regression and Cox regression models were constructed to determine the associations between CVD and treatment patterns, and its impact on overall (OS) and cancer-specific survival (CSS), respectively. A competing risk multistate model was developed to determine the excess mortality risk of patients with pre-existing CVD. RESULTS:A total of 20,689 patients with lung cancer were eligible for the current analysis. Men comprised 55%, and the median age at diagnosis was 70?years. One-third had at least one CVD, with the most common being congestive heart failure in 15% of patients. Pre-existing CVD was associated with a lower likelihood of receiving chemotherapy (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.48-0.58; P?

SUBMITTER: Batra A

PROVIDER: S-EPMC7559447 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer.

Batra Atul A Sheka Dropen D Kong Shiying S Cheung Winson Y WY

BMC cancer 20201015 1

<h4>Background</h4>Baseline cardiovascular disease (CVD) can impact the patterns of treatment and hence the outcomes of patients with lung cancer. This study aimed to characterize treatment trends and survival outcomes of patients with pre-existing CVD prior to their diagnosis of lung cancer.<h4>Methods</h4>We conducted a retrospective, population-based cohort study of patients with lung cancer diagnosed from 2004 to 2015 in a large Canadian province. Multivariable logistic regression and Cox re ...[more]

PMID: 33059611

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Project description:AimsPre-existing cardiovascular disease in general and related risk factors have been associated with poor coronavirus disease-2019 (COVID-19) outcomes. However, data on outcomes of COVID-19 among people with pre-existing diagnosis of heart failure (HF) have not been studied in sufficient detail. We aimed to perform detailed characterization of the association of pre-existing HF with COVID-19 outcomes.Methods and resultsA retrospective cohort study based on Veterans Health Administration (VHA) data comparing 30 day mortality and hospital admission rates after COVID-19 diagnosis among Veterans with and without pre-existing diagnosis of HF. Cox-regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) with adjustment for covariates. Among 31 051 veterans (97% male) with COVID-19, 6148 had pre-existing diagnosis of HF. The mean (SD) age of patients with HF was 70 (13) whereas the mean (SD) age of patients without HF was 57 (17). Within the HF group with available data on left ventricular ejection fraction (EF), 1844 patients (63.4%) had an EF of >45%, and 1063 patients (36.6%) had an EF of ≤45%. Patients in the HF cohort had higher 30 day mortality (5.4% vs. 1.5%) and admission (18.5% vs. 8.4%) rates after diagnosis of COVID-19. After adjustment for age, sex, and race, HRs (95% CIs) for 30 day mortality and for 30 day hospital admissions were 1.87 (1.61-2.17) and 1.79 (1.66-1.93), respectively. After additional adjustment for medical comorbidities, HRs for 30 day mortality and for 30 day hospital admissions were 1.37 (1.15-1.64) and 1.27 (1.16-1.38), respectively. The findings were similar among HF patients with preserved vs. reduced EF, among those taking vs. not taking angiotensin-converting enzyme inhibitors, angiotensin receptor blockers or angiotensin receptor neprilysin inhibitors, and among those taking vs. not taking anticoagulants.ConclusionsPatients with COVID-19 and pre-existing diagnosis of HF had a higher risk of 30 day mortality and hospital admissions compared to those without history of HF. The findings were similar by EF categories and by angiotensin-converting enzyme inhibitors/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitors or anticoagulant use.

Project description:OBJECTIVES:This study sought to evaluate impact of new-onset and pre-existing atrial fibrillation (AF) on transcatheter aortic valve replacement (TAVR) long-term outcomes compared with patients without AF. BACKGROUND:Pre-existing and new-onset AF in patients undergoing TAVR are associated with poor outcomes. METHODS:The study identified 72,660 patients ?65 years of age who underwent nonapical TAVR between 2014 and 2016 using Medicare inpatient claims. History of AF was defined by diagnoses on claims during the 3 years preceding the TAVR, and new-onset AF was defined as occurrence of AF during the TAVR admission or within 30 days after TAVR in a patient without prior history of AF. Outcomes included all-cause mortality, and readmission for bleeding, stroke, and heart failure (HF). RESULTS:Overall, 40.7% had pre-existing AF (n = 29,563) and 6.8% experienced new-onset AF (n = 2,948) after TAVR. Mean age was 81.3, 82.4, and 83.8 years in patients with no AF, pre-existing, and new-onset AF, respectively. Pre-existing AF patients had the highest burden of comorbidities. After follow-up of 73,732 person-years, mortality was higher with new-onset AF compared with pre-existing and no AF (29.7, 22.6, and 12.8 per 100 person-years, respectively; p < 0.001). After adjusting for patient characteristics and hospital TAVR volume, new-onset AF remained associated with higher mortality compared with no AF (adjusted hazard ratio: 2.068, 95% confidence interval [CI]: 1.92 to 2.20; p < 0.01) and pre-existing AF (adjusted hazard ratio: 1.35; 95% CI: 1.26 to 1.45; p < 0.01). In competing risk analysis, new-onset AF was associated with higher risk of bleeding (subdistribution hazard ratio [sHR]: 1.66; 95% CI: 1.48 to 1.86; p < 0.01), stroke (sHR: 1.92; 95% CI: 1.63 to 2.26; p < 0.01), and HF (sHR: 1.98; 95% CI: 1.81 to 2.16; p < 0.01) compared with pre-existing AF. CONCLUSIONS:In patients undergoing TAVR, new-onset AF is associated with increased risk of mortality and bleeding, stroke, and HF hospitalizations compared with pre-existing AF or no AF.

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Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer.

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Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer.

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