Hospitalization and Definitive Radiotherapy in Lung Cancer: Incidence, Risk Factors and Survival Impact

Abstract Background Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized.Methods Patients treated with definitive intent radiation (≥45 Gy) for lung cancer between 2008 and 2018 at a tertiary academic institution were identified. In addition to patient, tumor, and treatment related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, patient reported weight loss, BMI, hemoglobin, creatinine, albumin) were recorded. All cancer-related hospitalizations during or within 30 days of completing radiation were identified. Associations between baseline variables and hospitalization and overall survival were identified using multivariable linear regression and multivariable Cox proportional-hazards models, respectively.Results Of 270 patients included: median age was 66.6 years (31-88), 50.4% of patients were male (n=136), 62% were Caucasian (n=168). Cancer-related hospitalization incidence was 17% (n=47), of which 21% of patients hospitalized (n=10/47) had >1 hospitalization. On multivariable analysis, each 1 g/dL baseline drop in albumin was associated with a 2.4 times higher risk of hospitalization (95% confidence interval (CI) 1.2-5.0, P =0.01), and baseline hemoglobin ≤10 was associated with, on average, 2.7 more hospitalizations than having pre-treatment hemoglobin >10 (95% CI 1.3-5.4, P =0.01). After controlling for baseline variables, cancer-related hospitalization was associated with 1.8 times increased risk of all-cause death (95% CI: 1.0-3.1, P =0.04).Conclusions Hospitalization during lung cancer radiotherapy was independently associated with increased mortality. Our data show baseline factors can predict those who may be at increased risk for hospitalization.

Download Full-text

Hospitalization and Definitive Radiotherapy in Lung Cancer: Incidence, Risk Factors and Survival Impact

10.21203/rs.2.21111/v2 ◽

2020 ◽

Author(s):

Sarah Z. Hazell ◽

Nicholas Mai ◽

Wei Fu ◽

Chen Hu ◽

Cole Friedes ◽

...

Keyword(s):

Lung Cancer ◽

Proportional Hazards ◽

Multivariable Analysis ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

Patient Reported ◽

Incidence Risk ◽

Pre Treatment ◽

Aggressive Interventions

Abstract Background: Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized. Methods: Patients treated with definitive intent radiation (≥45 Gy) for lung cancer between 2008 and 2018 at a tertiary academic institution were identified. In addition to patient, tumor, and treatment related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, patient reported weight loss, BMI, hemoglobin, creatinine, albumin) were recorded. All cancer-related hospitalizations during or within 30 days of completing radiation were identified. Associations between baseline variables and any hospitalization, number of hospitalizations, and overall survival were identified using multivariable linear regression and multivariable Cox proportional-hazards models, respectively. Results: Of 270 patients included: median age was 66.6 years (31-88), 50.4% of patients were male (n=136), 62% were Caucasian (n=168). Cancer-related hospitalization incidence was 17% (n=47), of which 21% of patients hospitalized (n=10/47) had >1 hospitalization. On multivariable analysis, each 1 g/dL baseline drop in albumin was associated with a 2.4 times higher risk of any hospitalization (95% confidence interval (CI) 1.2-5.0, P =0.01), and baseline hemoglobin ≤10 was associated with, on average, 2.7 more hospitalizations than having pre-treatment hemoglobin >10 (95% CI 1.3-5.4, P =0.01). After controlling for baseline variables, cancer-related hospitalization was associated with 1.8 times increased risk of all-cause death (95% CI: 1.02-3.1, P =0.04).Conclusions: Our data show baseline factors can predict those who may be at increased risk for hospitalization, which was independently associated with increased mortality. Taken together, these data support the need for developing further studies aimed at early and aggressive interventions to decrease hospitalizations during treatment.

Download Full-text

Hospitalization and Definitive Radiotherapy in Lung Cancer: Incidence, Risk Factors and Survival Impact

10.21203/rs.2.21111/v3 ◽

2020 ◽

Author(s):

Sarah Z. Hazell ◽

Nicholas Mai ◽

Wei Fu ◽

Chen Hu ◽

Cole Friedes ◽

...

Keyword(s):

Lung Cancer ◽

Proportional Hazards ◽

Multivariable Analysis ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

Patient Reported ◽

Incidence Risk ◽

Pre Treatment ◽

Aggressive Interventions

Abstract Background: Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized. Methods: Patients treated with definitive intent radiation (≥45 Gy) for lung cancer between 2008 and 2018 at a tertiary academic institution were identified. In addition to patient, tumor, and treatment related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, patient reported weight loss, BMI, hemoglobin, creatinine, albumin) were recorded. All cancer-related hospitalizations during or within 30 days of completing radiation were identified. Associations between baseline variables and any hospitalization, number of hospitalizations, and overall survival were identified using multivariable linear regression and multivariable Cox proportional-hazards models, respectively. Results: Of 270 patients included: median age was 66.6 years (31-88), 50.4% of patients were male (n=136), 62% were Caucasian (n=168). Cancer-related hospitalization incidence was 17% (n=47), of which 21% of patients hospitalized (n=10/47) had >1 hospitalization. On multivariable analysis, each 1 g/dL baseline drop in albumin was associated with a 2.4 times higher risk of any hospitalization (95% confidence interval (CI) 1.2-5.0, P=0.01), and baseline hemoglobin ≤10 was associated with, on average, 2.7 more hospitalizations than having pre-treatment hemoglobin >10 (95% CI 1.3-5.4, P=0.01). After controlling for baseline variables, cancer-related hospitalization was associated with 1.8 times increased risk of all-cause death (95% CI: 1.02-3.1, P=0.04).Conclusions: Our data show baseline factors can predict those who may be at increased risk for hospitalization, which was independently associated with increased mortality. Taken together, these data support the need for developing further studies aimed at early and aggressive interventions to decrease hospitalizations during treatment.

Download Full-text

The fraction of lung cancer attributable to smoking in the Norwegian Women and Cancer (NOWAC) Study

British Journal of Cancer ◽

10.1038/s41416-020-01131-w ◽

2020 ◽

Author(s):

Merethe S. Hansen ◽

Idlir Licaj ◽

Tonje Braaten ◽

Eiliv Lund ◽

Inger Torhild Gram

Keyword(s):

Lung Cancer ◽

Passive Smoking ◽

Proportional Hazards ◽

Population Attributable Fraction ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Models ◽

Hazard Ratios ◽

Increased Risk ◽

Nationally Representative ◽

Never Smokers

Abstract Background We examined the association between active and passive smoking and lung cancer risk and the population attributable fraction (PAF) of lung cancer due to active smoking, in the Norwegian Women and Cancer Study, a nationally representative prospective cohort study. Methods We followed 142,508 women, aged 31–70 years, who completed a baseline questionnaire between 1991 and 2007, through linkages to national registries through December 2015. We used Cox proportional hazards models, to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). We calculated PAF to indicate what proportion of lung cancer cases could have been prevented in the absence of smoking. Results During the more than 2.3 million person-years of observation, we ascertained 1507 lung cancer cases. Compared with never smokers, current (HR 13.88, 95% CI 10.18–18.91) smokers had significantly increased risk of lung cancer. Female never smokers exposed to passive smoking had a 1.3-fold (HR 1.34, 95% CI 0.89–2.01) non- significantly increased risk of lung cancer, compared with never smokers. The PAF of lung cancer was 85.3% (95% CI 80.0–89.2). Conclusion More than 8 in 10 lung cancer cases could have been avoided in Norway, if the women did not smoke.

Download Full-text

Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study

Cancers ◽

10.3390/cancers13051177 ◽

2021 ◽

Vol 13 (5) ◽

pp. 1177

Author(s):

In Young Choi ◽

Sohyun Chun ◽

Dong Wook Shin ◽

Kyungdo Han ◽

Keun Hye Jeon ◽

...

Keyword(s):

Breast Cancer ◽

Metabolic Syndrome ◽

Proportional Hazards ◽

Screening Program ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Models ◽

Hazard Ratios ◽

Increased Risk ◽

Health Screening Program ◽

Design And Methods

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.

Download Full-text

Pre-diagnosis neutrophil-to-lymphocyte ratio and mortality in individuals who develop lung cancer

Cancer Causes & Control ◽

10.1007/s10552-021-01469-3 ◽

2021 ◽

Author(s):

Laurie Grieshober ◽

Stefan Graw ◽

Matt J. Barnett ◽

Gary E. Goodman ◽

Chu Chen ◽

...

Keyword(s):

Lung Cancer ◽

Proportional Hazards ◽

Smoking Status ◽

Cox Proportional Hazards ◽

Neutrophil To Lymphocyte Ratio ◽

Blood Draw ◽

Lymphocyte Ratio ◽

Cox Proportional Hazards Models ◽

Inflammatory Profile ◽

Heavy Smokers

Abstract Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high-risk heavy smokers. Methods We examined associations between pre-diagnosis methylation-derived NLR (mdNLR) and lung cancer-specific and all-cause mortality in 279 non-small lung cancer (NSCLC) and 81 small cell lung cancer (SCLC) cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype. Results Among SCLC cases, those with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). Increasing mdNLR was not associated with mortality among NSCLC overall, nor within adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115) case groups. Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not NSCLC.

Download Full-text

Association of poor sleep burden in middle age and older adults with risk for delirium during hospitalization

The Journals of Gerontology Series A ◽

10.1093/gerona/glab272 ◽

2021 ◽

Author(s):

Ma Cherrysse Ulsa ◽

Xi Zheng ◽

Peng Li ◽

Arlen Gaba ◽

Patricia M Wong ◽

...

Keyword(s):

Sleep Disturbances ◽

Proportional Hazards ◽

Time Lag ◽

Cox Proportional Hazards ◽

Poor Sleep ◽

Cardiovascular Risks ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

The Uk

Abstract Background Delirium is a distressing neurocognitive disorder recently linked to sleep disturbances. However, the longitudinal relationship between sleep and delirium remains unclear. This study assessed the associations of poor sleep burden, and its trajectory, with delirium risk during hospitalization. Methods 321,818 participants from the UK Biobank (mean age 58±8y[SD]; range 37-74y) reported (2006-2010) sleep traits (sleep duration, excessive daytime sleepiness, insomnia-type complaints, napping, and chronotype–a closely-related circadian measure for sleep timing), aggregated into a sleep burden score (0-9). New-onset delirium (n=4,775) was obtained from hospitalization records during 12y median follow-up. 42,291 (mean age 64±8; range 44-83y) had repeat sleep assessment on average 8y after their first. Results In the baseline cohort, Cox proportional hazards models showed that moderate (aggregate scores=4-5) and severe (scores=6-9) poor sleep burden groups were 18% (hazard ratio 1.18 [95% confidence interval 1.08-1.28], p<0.001) and 57% (1.57 [1.38-1.80], p<0.001), more likely to develop delirium respectively. The latter risk magnitude is equivalent to two additional cardiovascular risks. These findings appeared robust when restricted to postoperative delirium and after exclusion of underlying dementia. Higher sleep burden was also associated with delirium in the follow-up cohort. Worsening sleep burden (score increase ≥2 vs. no change) further increased the risk for delirium (1.79 [1.23-2.62], p=0.002) independent of their baseline sleep score and time-lag. The risk was highest in those under 65y at baseline (p for interaction <0.001). Conclusion Poor sleep burden and worsening trajectory were associated with increased risk for delirium; promotion of sleep health may be important for those at higher risk.

Download Full-text

Lopinavir/Ritonavir and Darunavir/Cobicistat in Hospitalized COVID-19 Patients: Findings From the Multicenter Italian CORIST Study

Frontiers in Medicine ◽

10.3389/fmed.2021.639970 ◽

2021 ◽

Vol 8 ◽

Author(s):

Augusto Di Castelnuovo ◽

Simona Costanzo ◽

Andrea Antinori ◽

Nausicaa Berselli ◽

Lorenzo Blandi ◽

...

Keyword(s):

Observational Study ◽

Propensity Scores ◽

Proportional Hazards ◽

Real Life ◽

Cox Proportional Hazards ◽

Event Analysis ◽

Multicenter Observational Study ◽

Protein Levels ◽

Cox Proportional Hazards Models ◽

Increased Risk

Background: Protease inhibitors have been considered as possible therapeutic agents for COVID-19 patients.Objectives: To describe the association between lopinavir/ritonavir (LPV/r) or darunavir/cobicistat (DRV/c) use and in-hospital mortality in COVID-19 patients.Study Design: Multicenter observational study of COVID-19 patients admitted in 33 Italian hospitals. Medications, preexisting conditions, clinical measures, and outcomes were extracted from medical records. Patients were retrospectively divided in three groups, according to use of LPV/r, DRV/c or none of them. Primary outcome in a time-to event analysis was death. We used Cox proportional-hazards models with inverse probability of treatment weighting by multinomial propensity scores.Results: Out of 3,451 patients, 33.3% LPV/r and 13.9% received DRV/c. Patients receiving LPV/r or DRV/c were more likely younger, men, had higher C-reactive protein levels while less likely had hypertension, cardiovascular, pulmonary or kidney disease. After adjustment for propensity scores, LPV/r use was not associated with mortality (HR = 0.94, 95% CI 0.78 to 1.13), whereas treatment with DRV/c was associated with a higher death risk (HR = 1.89, 1.53 to 2.34, E-value = 2.43). This increased risk was more marked in women, in elderly, in patients with higher severity of COVID-19 and in patients receiving other COVID-19 drugs.Conclusions: In a large cohort of Italian patients hospitalized for COVID-19 in a real-life setting, the use of LPV/r treatment did not change death rate, while DRV/c was associated with increased mortality. Within the limits of an observational study, these data do not support the use of LPV/r or DRV/c in COVID-19 patients.

Download Full-text

Abstract P316: Multiple Vulnerabilities to Health Disparities and Incident Coronary Heart Disease in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Circulation ◽

10.1161/circ.137.suppl_1.p316 ◽

2018 ◽

Vol 137 (suppl_1) ◽

Author(s):

Monika M Safford ◽

Laura Pinheiro ◽

Madeline Sterling ◽

Joshua Richman ◽

Paul Muntner ◽

...

Keyword(s):

Health Disparities ◽

Racial Differences ◽

Low Income ◽

Proportional Hazards ◽

Health Management ◽

Cox Proportional Hazards ◽

Southeastern Us ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

Regards Study

Social determinants contribute to disparities in incident CHD but it is not known if they have an additive effect. We hypothesized that having more socially determined vulnerabilities to health disparities is associated with increased risk of incident CHD in the REGARDS study, a large biracial prospective cohort with physiological and survey measures. Experts adjudicated incident fatal and nonfatal CHD over 10 years of follow-up. Vulnerabilities included black race, low education, low income, and Southeastern US residence. The risks for CHD outcomes associated with 1, 2, and 3+ vs 0 vulnerabilities were calculated with Cox proportional hazards models adjusted for medical conditions, functional status, health behaviors, and physiologic variables. Of the 19,645 participants free of CHD at baseline (mean age 64 years, 57% women), 16% had 0 vulnerabilities, 36% had 1, 29% had 2, and 18% had 3+. Increasing numbers of vulnerabilities were associated with higher incidence (Figure) and risk of CHD that attenuated somewhat after multivariable adjustment (Table). These findings may provide a method of risk stratification useful for population health management.

Download Full-text

Abstract WP218: Increased Systolic Blood Pressure Variability Among Diabetic Patients is Associated With Higher Risk of Incident Stroke: A Secondary Analysis of ACCORDION

Stroke ◽

10.1161/str.51.suppl_1.wp218 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Adam H de Havenon ◽

Ka-Ho Wong ◽

Eva Mistry ◽

Mohammad Anadani ◽

Shadi Yaghi ◽

...

Keyword(s):

Blood Pressure ◽

Blood Pressure Variability ◽

Proportional Hazards ◽

Secondary Analysis ◽

Cox Proportional Hazards ◽

Diabetic Patients ◽

Adjusted Risk ◽

Cox Proportional Hazards Models ◽

Increased Risk

Background: Increased blood pressure variability (BPV) has been associated with stroke risk, but never specifically in patients with diabetes. Methods: This is a secondary analysis of the Action to Control Cardiovascular Risk in Diabetes Follow-On Study (ACCORDION), the long term follow-up extension of ACCORD. Visit-to-visit BPV was analyzed using all BP readings during the first 36 months. The primary outcome was incident ischemic or hemorrhagic stroke after 36 months. Differences in mean BPV was tested with Student’s t-test. We fit Cox proportional hazards models to estimate the adjusted risk of stroke across lowest vs. highest quintile of BPV and report hazard ratios along with 95% confidence intervals (CI). Results: Our analysis included 9,241 patients, with a mean (SD) age of 62.7 (6.6) years and 61.7% were male. Mean (SD) follow-up was 5.7 (2.4) years and number of BP readings per patient was 12.0 (4.3). Systolic, but not diastolic, BPV was higher in patients who developed stroke (Table 1). The highest quintile of SBP SD was associated with increased risk of incident stroke, independent of mean blood pressure or other potential confounders. (Table 2, Figure 1). There was no interaction between SBP SD and treatment arm assignment, although the interaction for glucose approached significance (Table 2). Conclusion: Higher systolic BPV was associated with incident stroke in a large cohort of diabetic patients. Future trials of stroke prevention may benefit from interventions targeting BPV reduction.

Download Full-text

Abstract P009: Growth Differentiation Factor 15 And The Subsequent Risk Of Atrial Fibrillation: The Atherosclerosis Risk In Communities Study

Circulation ◽

10.1161/circ.143.suppl_1.p009 ◽

2021 ◽

Vol 143 (Suppl_1) ◽

Author(s):

Mengkun Chen ◽

Ning Ding ◽

Lena Mathews ◽

Ron C Hoogeveen ◽

Christie M Ballantyne ◽

...

Keyword(s):

Atrial Fibrillation ◽

Proportional Hazards ◽

Troponin T ◽

Cox Proportional Hazards ◽

Atherosclerosis Risk In Communities ◽

Growth Differentiation Factor 15 ◽

Differentiation Factor ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

Icd 10

Introduction: Growth differentiation factor 15 (GDF-15) is a marker of oxidative stress and inflammation and has been associated with several cardiovascular disease (CVD) phenotypes. However, conflicting results have been reported regarding the association of GDF-15 with incident atrial fibrillation (AF) in the general population. Hypotheses: Higher GDF-15 level is associated with increased risk of incident AF independent of potential confounders. Methods: In 10,101 White and Black ARIC participants (mean age 60 years and 20.9% Blacks) free of AF at baseline (1993-95), we quantified the association of GDF-15 and incident AF using three Cox proportional hazards models. GDF-15 was measured by SOMA scan assay. AF was defined by hospitalizations with AF diagnosis or death certificates (ICD-9 codes: 427.31-427.32; ICD-10 codes: I48.x) or AF diagnosis by ECG at subsequent ARIC visits. Results: There were 2165 cases of incident AF over a median follow-up of 20.7 years (incidence rate 12.1 cases/1,000 person-years). After adjusting for demographic characteristics and cardiovascular risk factors, log GDF-15 was significantly associated with incident AF (hazard ratio 1.42 (1.25-1.63) for top vs. bottom quartile) (Model 1 in Table ). The result was robust even further adjusting for history of other CVD phenotypes and cardiac markers (Models 2 and 3 in Table ). In Model 3, quartiles of high-sensitive cardiac troponin T (hs-cTnT) did not demonstrate significant associations with incident AF. Conclusions: In community-based population, elevated GDF-15 level was independently and robustly associated with incident AF (even more strongly than troponin). These results suggest the involvement of GDF-15 in the development of AF and the potential of GDF-15 as a risk marker to identify individuals at high risk of AF.

Download Full-text