scholarly journals Impact of Chemotherapy Stock-Out on Standard Therapy Delivery Among Cancer Patients in Botswana

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 90s-90s
Author(s):  
Y. Martei ◽  
S. Grover ◽  
W. Bilker ◽  
D. Setlhako ◽  
T. Ralefala ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Dose Reduction ◽  
Cancer Patients ◽  
Standard Therapy ◽  
Mixed Effects ◽  
Cancer Drug ◽  
Survival Outcomes ◽  
Increased Risk ◽  
The Impact ◽  
Therapy Delivery

Background: Cancer drug shortages represent a complex global issue with potentially adverse survival outcomes. Up to 98% of oncologists and pharmacists surveyed in North America reported at least 1 drug shortage in the prior year and 66% reported at least one patient who had clinical care impacted by the shortage. In low- and middle-income countries (LMICs), these shortages are even more frequent. No studies to our knowledge have evaluated the impact of chemotherapy stock-out on receipt of standard cancer therapy in LMICs. Aim: Quantify the association between the duration of chemotherapy stock-out and the risk of having a suboptimal therapy delivery event, compared with standard delivery of therapy among cancer patients in Botswana. Methods: Prevalent cohort study of patients with cervical, breast, prostate, esophagus, Kaposi sarcoma, head and neck cancers, lung, uterine, ovarian and colorectal cancers who received any systemic therapy between 01/01/16-12/31/16 at Princess Marina Hospital, Botswana. Primary exposure was stock-out duration per cycle interval calculated by generating a code for the six different patterns for chemotherapy stock-out, using stock data at the Central Medical Stores. Primary outcome was suboptimal therapy delivery defined as a dose reduction, dose delay or switch in intended therapy. We measured statistical associations using two sample t-test and mixed effects univariate and multivariate logistic regression models. Results: 378 patients were identified who met diagnostic criteria and received systemic chemotherapy in 2016. Of these, 293 received commonly prescribed standard regimens who contributed 1452 cycle intervals and were included in our analysis. Majority of the patients (48%) had breast cancer. The mean duration of stock-out for receipt of standard therapy without events was 3.2 days (95% CI: 2.8-3.7) compared with 7.8 days for patients who had a suboptimal therapy delivery event (95% CI: 6.6-9) ( P < 0.0001). Male sex, age < 65 and HIV-positive status were also significantly associated with an increased risk of experiencing dose reduction, change in therapy or switch in therapy. Adjusting for these factors in a mixed effects logistic regression, each week of stock-out was independently associated with an 80% increased risk of having a suboptimal therapy delivery event (OR=1.8 (95% CI: 1.6-2.0, P < 0.0001)). Conclusion: Chemotherapy stock-out is independently associated with an 80% increased risk of a patient experiencing dose reduction, change in therapy or delay in therapy. The risk increases with longer duration of stock out. Given prior data showing that these events lead to worse survival outcomes, our further analysis is focusing on quantifying risk of stock-out on survival outcomes in this population. to determine whether interventions promoting standard therapy delivery are warranted to optimize survival outcomes.

scholarly journals Impact of Essential Medicine Stock Outs on Cancer Therapy Delivery in a Resource-Limited Setting

2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yehoda M. Martei ◽  
Surbhi Grover ◽  
Warren B. Bilker ◽  
Barati Monare ◽  
Dipho I. Setlhako ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cancer Therapy ◽  
Mixed Effects ◽  
Middle Income ◽  
Middle Income Countries ◽  
Increased Risk ◽  
Cancer Medicine ◽  
The Impact ◽  
Therapy Delivery ◽  
Low And Middle Income

PURPOSE Essential cancer medicine stock outs are occurring at an increasing frequency worldwide and represent a potential barrier to delivery of standard therapy in patients with cancer in low- and middle-income countries. The objective of this study was to measure the impact of cancer medicine stock outs on delivery of optimal therapy in Botswana. METHODS We conducted a retrospective analysis of patients with common solid tumor malignancies who received systemic cancer therapy in 2016 at Princess Marina Hospital, Gaborone, Botswana. Primary exposure was the duration of cancer medicine stock out during a treatment cycle interval, when the cancer therapy was intended to be administered. Mixed-effects univariable and multivariable logistic regression analyses were used to calculate the association of the primary exposure, with the primary outcome, suboptimal therapy delivery, defined as any dose reduction, dose delay, missed cycle, or switch in intended therapy. RESULTS A total of 378 patients met diagnostic criteria and received systemic chemotherapy in 2016. Of these, 76% received standard regimens consisting of 1,452 cycle intervals and were included in this analysis. Paclitaxel stock out affected the highest proportion of patients. In multivariable mixed-effects logistic regression, each week of any medicine stock out (odds ratio, 1.9; 95% CI, 1.7 to 2.13; P < .001) was independently associated with an increased risk of a suboptimal therapy delivery event. CONCLUSION Each week of cancer therapy stock out poses a substantial barrier to receipt of high-quality cancer therapy in low- and middle-income countries. A concerted effort between policymakers and cancer specialists is needed to design implementation strategies to build sustainable systems promoting a reliable supply of cancer medicines.

The impact of obesity on treatment and outcomes in ovarian cancer by race/ethnicity.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18067-e18067
Author(s):  
Alexandra Martin ◽  
Adrianne Rose Mallen ◽  
Sweta Sinha ◽  
Ali Wells ◽  
Kathryn Cline ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Dose Reduction ◽  
Cancer Patients ◽  
Tertiary Care ◽  
Dose Intensity ◽  
Comprehensive Cancer Center ◽  
Increased Risk ◽  
Race Ethnicity ◽  
Similar Survival ◽  
The Impact

e18067 Background: Concern for toxicities in obese ovarian cancer patients may limit weight-based chemotherapy dosing, which has been associated with poor survival. We sought to evaluate the impact of obesity on treatment and outcomes by race/ethnicity at a National Cancer Institute (NCI)-designated Comprehensive Cancer Center (CCC). Methods: 66 minority (non-Hispanic black, Hispanic) epithelial ovarian cancer patients diagnosed 2006 and treated with frontline chemotherapy were frequency matched to two non-Hispanic white (NHW) patients by 5-year age group and stage (n = 198). For frontline carboplatin, relative dose intensity (RDI) was calculated by dividing the dose received by the expected dose, with an RDI < 0.85 indicating carboplatin dose reduction. Patient characteristics and RDI were compared by obesity and race/ethnicity. Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between obesity, race/ethnicity and RDI with mortality, adjusting for confounders. Results: Minorities were more likely to be obese, underinsured, and to experience delays in chemotherapy compared to NHW. Compared to normal/overweight patients, obese patients were more likely to experience carboplatin under dosing in the neoadjuvant (p = 0.004) and adjuvant (p < 0.0001) setting, but there were no differences in RDI by race/ethnicity or toxicities. No association with survival was observed for dose reduction and BMI. Compared to NHW, minorities had similar survival in the first 4 years after diagnosis (HR = 0.99, 95% CI = 0.60-1.63), but an increased risk of mortality > 4 years after diagnosis (HR = 4.07, 95% CI = 1.92, 8.60). Conclusions: Even though minorities were more likely to be obese, there were no differences in dosing by race/ethnicity at an NCI CCC. Minorities had similar survival to NHW in the first 4 years after diagnosis, likely due to similar access to quality care at an NCI CCC. However, > 4 years after diagnosis, the racial/ethnic survival disparity persisted after adjustment for clinical and pathologic characteristics. Expansion of this work to other patient populations may help determine if findings are similar outside of a tertiary care center.

Impact of cancer on the risk of unplanned 30-day readmissions.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6581-6581
Author(s):  
Alexander Qian ◽  
Edmund Qiao ◽  
Vinit Nalawade ◽  
Nikhil V. Kotha ◽  
Rohith S. Voora ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Hospital Admissions ◽  
Reference Group ◽  
Cancer Site ◽  
Cancer Type ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Initial Hospitalization ◽  
The Impact

6581 Background: Hospital readmission are associated with unfavorable patient outcomes and increased costs to the healthcare system. Devising interventions to reduce risks of readmission requires understanding patients at highest risk. Cancer patients represent a unique population with distinct risk factors. The purpose of this study was to define the impact of a cancer diagnosis on the risks of unplanned 30-day readmissions. Methods: We identified non-procedural hospital admissions between January through November 2017 from the National Readmission Database (NRD). We included patients with and without a cancer diagnosis who were admitted for non-procedural causes. We evaluated the impact of cancer on the risk of 30-day unplanned readmissions using multivariable mixed-effects logistic regression models. Results: Out of 18,996,625 weighted admissions, 1,685,099 (8.9%) had record of a cancer diagnosis. A cancer diagnosis was associated with an increased risk of readmission compared to non-cancer patients (23.5% vs. 13.6%, p < 0.001). However, among readmissions, cancer patients were less likely to have a preventable readmission (6.5% vs. 12.1%, p < 0.001). When considering the 10 most common causes of initial hospitalization, cancer was associated with an increased risk of readmission for each of these 10 causes (OR range 1.1-2.7, all p < 0.05) compared to non-cancer patients admitted for the same causes. Compared to patients aged 45-64, a younger age was associated with increased risk for cancer patients (OR 1.29, 95%CI [1.24-1.34]) but decreased risk for non-cancer patients (OR 0.65, 95%CI [0.64-0.66]). Among cancer patients, cancer site was the most robust individual predictor for readmission with liver (OR 1.47, 95%CI [1.39-1.55]), pancreas (OR 1.36, 95%CI [1.29-1.44]), and non-Hodgkin’s lymphoma (OR 1.35, 95%CI [1.29-1.42]) having the highest risk compared to the reference group of prostate cancer patients. Conclusions: Cancer patients have a higher risk of 30-day readmission, with increased risks among younger cancer patients, and with individual risks varying by cancer type. Future risk stratification approaches should consider cancer patients as an independent group with unique risks of readmission.

Abstract TP209: Effect of Chemotherapy on Stroke Risk in Cancer Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takaya Kitano ◽  
Tsutomu Sasaki ◽  
Yasufumi Gon ◽  
Kenichi Todo ◽  
Shuhei Okazaki ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Propensity Scores ◽  
Stroke Risk ◽  
Cox Regression ◽  
Treatment Plan ◽  
University Hospital ◽  
Chemotherapy Group ◽  
Kaplan Meier ◽  
Increased Risk ◽  
The Impact

Introduction: Chemotherapy may be a cause of cancer-associated stroke, but whether it increases stroke risk remains uncertain. We aimed to clarify the impact of chemotherapy on stroke risk in cancer patients. Methods: We investigated 27,932 patients enrolled in a hospital-based cancer registry at Osaka University Hospital between 2007 and 2015. The registry collects clinical data, including cancer status (site and stage), on all patients treated for cancer. Of them, 19,006 patients with complete data were included. A validated algorithm was used to identify stroke events within 2 years of cancer diagnosis. Patients were divided based on whether their initial treatment plan included chemotherapy. The association between chemotherapy and stroke was analyzed using the Kaplan-Meier method and stratified Cox regression. Results: Of the 19,006 patients, 5,887 (31%) patients were in the chemotherapy group. Non-targeted chemotherapy was used in 5,371 patients. Stroke occurred in 44 patients (0.75%) in the chemotherapy group and 51 patients (0.39%) in the no-chemotherapy group. Kaplan-Meier curve analysis showed that patients in the chemotherapy group had a higher stroke risk than patients in the no-chemotherapy group (HR 1.84; 95% CI 1.23-2.75; Figure [A]). However, this difference was insignificant after adjustment for cancer status using inverse probability of treatment weighting with propensity scores (HR 1.20; 95% CI 0.76-1.91; Figure [B]). Similarly, in the stratified Cox regression model, chemotherapy was not associated with stroke after adjustment for cancer status (HR 1.26; 95% CI 0.78-2.03). These findings were consistent with analysis wherein the effect of chemotherapy was treated as a time-dependent covariate (HR 1.02; 95% CI 0.55-1.88). Conclusions: In this population, the elevated stroke risk in cancer patients who received chemotherapy was presumably due to advanced cancer stage; chemotherapy was not associated with the increased risk of stroke.

PTHrP(12-48) for the diagnosis of breast cancer bone metastasis.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e21039-e21039
Author(s):  
Charity L. Washam ◽  
Stephanie D. Byrum ◽  
Kim Leitzel ◽  
Ali M. Suhail ◽  
Allan Lipton ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Bone Metastasis ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Statistical Significance ◽  
Breast Cancer Patients ◽  
Parathyroid Hormone Related Protein ◽  
Increased Risk ◽  
Breast Cancer Bone Metastasis

e21039 Background: Bone metastasis of breast cancer significantly compromises patient morbidity and mortality. Currently, no reliable methods detect or predict patients at increased risk for developing bone metastasis. We utilized 3 independent cohorts of breast cancer patients to validate a highly discriminatory plasma-based proteomic profile that identifies breast cancer bone metastasis. The identity of the most discriminatory protein component identified was a parathyroid hormone-related protein fragment, PTHrP(12-48). Methods: Plasma samples collected from 21 breast cancer patients with clinical evidence of a bone metastasis and 21 patients with no evidence of bone metastasis from time of diagnosis to clinical outcome were evaluated. A novel mass spectrometry-based assay using human serum spiked with synthetic PTHrP(12-48) was used to measure PTHrP(12-48) concentrations (pg/μl). Statistical significance was assessed by one-way ANOVA. ROC curves evaluated the diagnostic potential of PTHrP(12-48) and a simple logistic regression derived from the combined measurement of PTHrP(12-48) and NTx. Results: PTHrP(12-48) concentrations ranged between 11.6 and 92.1 pg/μl in bone metastasis patients and between 4.5 and 34.2 pg/μl in patients without bone metastases. PTHrP(12-48) was significantly increased in bone metastasis plasma (p < 0.05). No significant correlation was identified between PTHrP(12-48) and NTx. ROC analysis of PTHrP(12-48), threshold 18 pg/μl, classified the two groups with high accuracy. Class prediction by the PTHrP(12-48)/NTx logistic regression model increased diagnostic specificity. Conclusions: The measurement of PTHrP(12-48) in patient plasma has potential as a viable clinical measure of bone metastasis. In combination with serum NTx, PTHrP(12-48) may assist in identifying bone metastases in patients presenting with low to normal bone turnover markers.

The impact of patient-related factors on the occurrence of febrile neutropenia in breast cancer patients receiving (neo-)adjuvant chemotherapy with 5-fluorouracil, epirubicin, and cyclofosfamide (FEC) x6 or FEC x3 followed by docetaxel (D) x3.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 1078-1078
Author(s):  
Christof Vulsteke ◽  
Alena Pfeil ◽  
Barbara Brouwers ◽  
Matthias Schwenkglenks ◽  
Robert Paridaens ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Febrile Neutropenia ◽  
Serum Creatinine ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Related Factors ◽  
The Impact

1078 Background: Recently we described the impact of genetic variability on severe toxicity in breast cancer patients receiving (neo-) adjuvant FEC chemotherapy (Annals of Oncology 2013, In Press). We now further assessed the impact of a wide range of patient-related factors on FEC toxicity in routine clinical setting. Methods: Patients with early breast cancer receiving (neo-)adjuvant 6 cycles FEC or sequential 3 cycles of FEC and 3 cycles D were retrospectively evaluated through electronic chart review for febrile neutropenia (primary endpoint; CTC 3.0). Age at diagnosis, body mass index, body surface area, number of cycles received, germline genetic polymorphisms, and baseline biochemical variables (white blood cell count, absolute neutrophil count, platelets, aspartate aminotransferase, alanine aminotransferase, total bilirubin and creatinine) were available for most patients (missing data <10%). All patients had follow up for progression free survival (PFS) and overall survival (OS). Multivariate logistic regression analysis was performed including univariate associates of outcome with a p-value <0.25. Results: We identified 1,031 patients treated between 2000-2010 with 6x FEC (n=488) or 3x FEC followed by 3x D (n=543). 174 (16.9%) patients developed febrile neutropenia during FEC. After logistic regression analysis febrile neutropenia was found to be significantly associated with carriers of the rs45511401 variant T-allele in the MRP1 gene found in 12% of patients (p= 0.03, OR1.99, CI 1.07-3.71) and with increasing serum creatinine values (p=0.05 OR 4.58/CI 0.99-20.98); all other investigated patient-related parameters were not retained by the model. At a mean follow up of 5.2 years, the occurrence of febrile neutropenia was not correlated with PFS and OS. Conclusions: In this study, only the baseline level of serum creatinine and germline genetic polymorphisms in the MRP-1 gene were predictive for the occurrence of febrile neutropenia in patients receiving FEC chemotherapy. The occurrence of febrile neutropenia did not seem to impact on outcome.

Impact of precancer multimorbidity clusters on survival and functional outcomes after cancer in older patients.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 291-291 ◽  
Author(s):  
Kelly Kenzik ◽  
Joshua Richman ◽  
Erin E. Kent ◽  
Maria Pisu ◽  
Smita Bhatia
Keyword(s):  
Cancer Patients ◽  
Survey Data ◽  
Cancer Diagnosis ◽  
Functional Impairment ◽  
Regression Models ◽  
Poverty Level ◽  
Risk Of Death ◽  
Increased Risk ◽  
After Cancer ◽  
The Impact

291 Background: While multimorbidity clustering is a significant problem in older adults, the impact of clusters present prior to cancer on post-diagnosis survival and function is unknown. We used SEER-Medicare Health Outcomes Survey data for 4583 cancer patients to address this research gap. Methods: Patients with prostate (1741), breast (BC: 1345), colorectal (CRC: 904) and lung (593) cancer with pre- and post-diagnosis survey data were included. Surveys assessed comorbidity and activities of daily living (ADLs). Previously defined multimorbidity clusters were cardiovascular disease (CVD), skeletal, metabolic, pulmonary + major depressive disorder (MDD), and gastrointestinal (GI) + MDD. Cox regression models estimated hazard ratios (HR) for death after cancer diagnosis. Among those without pre-cancer ADL impairment, modified Poisson regression models estimated relative risk (RR) for developing post-cancer functional impairment (ADL ≤ 4). Models controlled for age, race, education, poverty level, stage, and treatment (radiation, surgery). Results: Median age at cancer diagnosis was 74y (65-103). Post-diagnosis mortality: After 6y median follow-up, mortality was 30%; 5y survival was 74%.Prostate, BC and CRC patients with pre-diagnosis CVD clusters were at increased risk of death compared to those without CVD cluster (HR 1.9, 2.0, 1.7, respectively, p < 0.05). Compared to those without the cluster, prostate and BC patients with metabolic cluster were at increased risk (HR 1.7, 1.9, respectively, p < 0.05) and prostate cancer patients with pulmonary conditions + MDD or GI + MDD (HR 1.9, 2.1, respectively, p < 0.05) were at increased risk. Post-diagnosis functional impairment: Prevalence of moderate functional impairment at a median of 1y after cancer diagnosis was 31%. Prostate, lung, and CRC survivors with GI + MDD had a significant RR of developing impairment (RR 1.8, 1.8, and 1.7, p < 0.001). For BC patients, those with skeletal cluster had a 2.1 RR (p < 0.001). Conclusions: Specific multimorbidity clusters prior to cancer are associated with post-cancer mortality and ADL impairment and identify at-risk groups where interventions can be instituted to decrease morbidity and mortality.

Clinical and pathological outcomes for patients with T1HG bladder cancer managed with upfront cystectomy with or without neoadjuvant chemotherapy and the impact of the MDACC high-risk features.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 366-366
Author(s):  
Michael J. Metcalfe ◽  
James Edward Ferguson ◽  
Roger Li ◽  
Lianchun Xiao ◽  
Colin P.N. Dinney ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
High Risk ◽  
Neoadjuvant Chemotherapy ◽  
Systemic Disease ◽  
Survival Outcomes ◽  
Increased Risk ◽  
Node Positive Disease ◽  
Variant Histology ◽  
Muscle Invasive ◽  
The Impact

366 Background: In muscle invasive bladder cancer there is an increased risk for systemic disease identified for patients with certain high risk features (HRF): pre-operative hydronephrosis (POH), lymphovascular invasion (LVI), abnormal exam under anesthesia (AbnEUA), and the presence of variant histology (VH). We sought to identify the effect of these high risk features in the T1HG population. Methods: With IRB approval, a single center retrospective review was performed on all patients at MDACC from 1995-2013 who underwent radical cystectomy (RC) for T1HG urothelial cancer. Patients were stratified according to the presence or absence of HRF defined by the presence of LVI, POH, VH, AbnEUA, prostatic ductal involvement (PDI), and the delivery of neoadjuvant chemotherapy (NAC). Primary outcome included pathologic T (pT) upstage and presence of lymph node positive disease (LN+) at time of RC, as well as survival outcomes. Results: 372 T1HG patients underwent RC, of these 196 (53%) have HRF including: VH (n=98, 25%), LVI (n=44, 12%), PDI (n=31, 8%), POH (n=38, 10%) and/or AbnEUA (n=34, 9%). pT upstage occurred in 43/176 (24.4%) of patients without HRF, in 45/151 (30%) of patients with 1 HRF, and in 38% (17/45) of patients with > 2 HRF (p=0.088). LN+ occurred in 18/176 (10.2%) of patients without HRF, 7.8% (15/151) of patients with 1 HRF and in 17.8% (8/45) of patients with > 2 HRF (p=0.0403). Presence of HRF were not significant for a decreased OS (p=0.076), DSS (0.425), and RFS (p=0.103). No patients without HRF got NAC, and 41/196 (21%) of patients with HRF received NAC. There was no effect of NAC on pT upstage (OR 1.184, 95% CI 0.355-3.954, p=0.7834) or rate of LN+ disease (OR 1.758, 95% CI 0.669-5.606, p=0.2525) on multivariate analysis. There was no effect of NAC on OS (p=0.122), DSS (0.437), or RFS (0.7483). Conclusions: Presence of certain high risk features in the T1HG setting does have increased risk of pT upstage and LN+ disease in patients treated with cystectomy. However, there is no effect seen on survival outcomes. Use of NAC did not significantly alter outcome in our cohort and should be reserved for the muscle invasive setting.

Association of baseline cardiovascular risk factors and health care utilization and costs in elderly breast cancer patients enrolled in SWOG clinical trials.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 11508-11508
Author(s):  
Dawn L. Hershman ◽  
Cathee Till ◽  
Jason Dennis Wright ◽  
Melissa Kate Accordino ◽  
Riha Vaidya ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Clinical Trials ◽  
Cancer Patients ◽  
Healthcare Costs ◽  
Disease Risk ◽  
Breast Cancer Patients ◽  
Increased Risk ◽  
Clinical Records ◽  
The Impact

11508 Background: Cardiovascular-disease risk factors (CVD-RFs) increase the risk of cardiac events in women undergoing chemotherapy. Less is known about the impact of CVD-RFs on healthcare utilization and costs. Methods: We examined breast cancer patients treated uniformly on SWOG clinical trials from 1999-2011. We identified baseline diabetes, hypertension, hypercholesterolemia, and coronary artery disease (CAD) by linking trial records to Medicare claims; obesity was identified using clinical records. The outcomes were emergency room visits (ER), hospitalizations and costs. Multivariable logistic and linear regression were used. Results: Among the 708 patients included in the analysis, 160 (22.6%) experienced 234 separate hospitalizations, and 193 (27.3%) experienced 311 separate ER visits. Diabetes, hypertension, hypercholesterolemia, and CAD were all associated with increased risk of hospitalizations and ER visit. Hypertension had the strongest association, with more than a threefold risk of hospitalization for those with hypertension compared to those without (OR [95% CI], 3.16 [1.85-5.40], p<0.001). For those with ≥3 CVD-RFs, the risk of hospitalization was greater compared to 0 or 1 CVD-RFs (OR [95% CI], 2.74 [1.71-4.38], p<0.001). Similar results were seen for ER visits. In the first 12 months after trial registration, patients with diabetes ($38,324 vs $30,923, 23.9% increase, p=0.05), hypercholesterolemia ($34,168 vs $30,661, 11.4% increase, p=0.02), and CAD ($37,781 vs $31,698, 19.2% increase, p=0.04) had statistically significantly higher total healthcare costs. Additionally, those with 2 significant CVD-RFs ($35,353 vs. $28,899, 22.3% increase, p=.005) had higher total healthcare costs. Conclusions: Our study demonstrates that the presence of both CVD-RFs and ER visits and hospitalizations are frequent among elderly BC patients. The risk of ER visits and hospitalizations is higher among patients with CVD-RFs, and increases with the number of RFs. Better management of CVD-RFs and more aggressive symptom management may be required to reduce both physical and financial toxicities to elderly patients undergoing BC therapy.

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