scholarly journals Effect on Survival of Longer Intervals Between Confirmed Diagnosis and Treatment Initiation Among Low-Income Women With Breast Cancer

2012 ◽  
Vol 30 (36) ◽  
pp. 4493-4500 ◽  
Author(s):  
John M. McLaughlin ◽  
Roger T. Anderson ◽  
Amy K. Ferketich ◽  
Eric E. Seiber ◽  
Rajesh Balkrishnan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
North Carolina ◽  
Low Income ◽  
Late Stage ◽  
Proportional Hazards ◽  
Treatment Initiation ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
The Impact

Purpose To determine the impact of longer periods between biopsy-confirmed breast cancer diagnosis and the initiation of treatment (Dx2Tx) on survival. Patients and Methods This study was a noninterventional, retrospective analysis of adult female North Carolina Medicaid enrollees diagnosed with breast cancer from January 1, 2000, through December, 31, 2002, in the linked North Carolina Central Cancer Registry–Medicaid Claims database. Follow-up data were available through July 31, 2006. Cox proportional hazards regression models were constructed to evaluate the impact on survival of delaying treatment ≥ 60 days after a confirmed diagnosis of breast cancer. Results The study cohort consisted of 1,786 low-income, adult women with a mean age of 61.6 years. A large proportion of the patients (44.3%) were racial minorities. Median time from biopsy-confirmed diagnosis to treatment initiation was 22 days. Adjusted Cox proportional hazards regression showed that although Dx2Tx length did not affect survival among those diagnosed at early stage, among late-stage patients, intervals between diagnosis and first treatment ≥ 60 days were associated with significantly worse overall survival (hazard ratio [HR], 1.66; 95% CI, 1.00 to 2.77; P = .05) and breast cancer–specific survival (HR, 1.85; 95% CI, 1.04 to 3.27; P = .04). Conclusion One in 10 women waited ≥ 60 days to initiate treatment after a diagnosis of breast cancer. Waiting ≥ 60 days to initiate treatment was associated with a significant 66% and 85% increased risk of overall and breast cancer–related death, respectively, among late-stage patients. Interventions designed to increase the timeliness of receiving breast cancer treatments should target late-stage patients, and clinicians should strive to promptly triage and initiate treatment for patients diagnosed at late stage.

scholarly journals Risk factors for dementia onset in older adults with metastatic renal cell carcinoma

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 701-702
Author(s):  
Samuel Miller ◽  
Lauren Wilson ◽  
Melissa Greiner ◽  
Jessica Pritchard ◽  
Tian Zhang ◽  
...  
Keyword(s):  
Older Adults ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
The Impact

Abstract Renal dysfunction is a driver of dementia. It is also associated with renal cell carcinoma, possibly the result of the tumor itself or from cancer treatment. This study evaluates metastatic renal cell carcinoma (mRCC) as a risk factor for developing mild cognitive impairment or dementia (MCI/D) as well as the impact of RCC-directed therapies on the development of MCI/D. We identified all patients diagnosed with mRCC in SEER-Medicare from 2007-2015. The main outcome was incident MCI/D within one year of mRCC diagnosis or cohort entry. Exclusion criteria included age <65 at mRCC diagnosis and diagnosis of MCI/D within preceding year of mRCC diagnosis. Patients with mRCC (n=2,533) were matched to non-cancer controls (n=7,027) on age, sex, race, comorbidities and year. Cox proportional hazards regression showed that having mRCC (HR 8.52, 95% MCI/D 6.49-11.18, p<0.001) and being older (HR 1.05 for 1-year age increase, 95% MCI/D 1.03-1.07, p<0.001) were predictive of developing MCI/D. A second Cox proportional hazards regression of only patients with mRCC revealed that neither those initiating treatment with oral anticancer agents (OAAs) nor those who underwent nephrectomy were more likely to develop MCI/D. Black patients had a higher risk of dementia compared to white patients (HR 1.92, 95% MCI/D 1.02-3.59, p=0.047). In conclusion, patients with mRCC were more likely to develop MCI/D than those without mRCC. The medical and surgical therapies evaluated were not associated with increased incidence of MCI/D. The increased incidence of MCI/D in older adults with mRCC may be the result of the pathology itself.

Evaluation of circulating biomarkers of bone metastasis in early-stage breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10613-10613
Author(s):  
Windy Marie Dean-Colomb ◽  
Kenneth R. Hess ◽  
Elliana J. Young ◽  
Terrie Gornet ◽  
Beverly Carol Handy ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Metastasis ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Cox Proportional Hazards ◽  
Hazard Ratio ◽  
Stage I ◽  
Clinical Factors ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

10613 Background: Bone is the preferred site for metastasis of breast cancer, affecting approximately 70% of women with advanced disease. N-terminal of procollagen type 1 (P1NP), c-terminal peptide crosslinks (CTX), Osteocalcin (OC) and interleukin-6 (IL-6) are markers of bone turnover that may have clinical utility as predictors of breast cancer recurrence in the bone. Methods: Serum was collected from 168 patients with stage I/II/III breast cancer prior to treatment from 09/2001 to 12/2008 and stored at -80 C. Serum levels of P1NP, CTX, OC and IL-6 were determined using the Roche’s Elecsys 2010 automated immunoassay system. Correlations of biomarker levels with time to bone metastasis (BM) development were assessed with Cox proportional hazards regression analysis and the Kaplan-Meier method. Results: Among the 168 patients analyzed, 60 patients subsequently developed BM. The biomarkers all had skewed distributions with long right tails and thus were all analyzed on the log scale. Residual analysis suggested non-linear relationships between each biomarker and risk of developing BM during follow-up. Thus, we fit Cox proportional hazards regression models for each biomarker with quadratic polynomials (on the log scale). On univariate analysis, these analyses generated p = 0.33 for IL-6, 0.26 for osteocalcin, 0.40 for CTX, and 0.032 for P1NP. Adjusting for clinical factors (stage, age, race, post menopausal, ER/PR status, HER2 status, nuclear grade) yielded p = 0.0035 for the quadratic polynomial for log P1NP. A cut-point of 75 ng/mL identified patients with a short time to development of BM. The 1, 3, and 5-year freedom-from-BM probabilities were 96%, 77% and 66% for the 150 patients with P1NP values ≤ 75 ng/mL and 88%, 45%, and 36% for the 16 patients with P1NP values > 75 ng/mL. The hazard ratio comparing patients with P1NP values ≤ 75 ng/mL to patients with P1NP values > 75 ng/mL was 3.0 (95% CI, 1.5 - 6.2) and p = 0.0075 ng/mL. After adjustment for clinical factors, the hazard ratio was 3.4 (1.5, 7.6) with p = 0.0026. Conclusions: Serum P1NP levels >75 ng/mL correlate with a shorter time to development of BM in patients with stage I-III breast cancer.

scholarly journals 558 PREVALENCE AND IMPACT OF FRAILTY IN PATIENTS HOSPITALISED WITH COVID-19. THE SALFORD EXPERIENCE IN WAVES 1 AND 2

2021 ◽  
Vol 50 (Supplement_2) ◽  
pp. ii14-ii18
Author(s):  
A Khan ◽  
F R Espinoza ◽  
T Kneen ◽  
A Dafnis ◽  
H Allafi ◽  
...  
Keyword(s):  
Prospective Observational Study ◽  
Proportional Hazards ◽  
Hospital Admissions ◽  
Cox Proportional Hazards ◽  
Vulnerable Group ◽  
Clinical Frailty Scale ◽  
Patient Demographics ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
The Impact

Abstract Introduction The COVID-19 pandemic has had an extensive impact on the frail older population, with significant rates of COVID-related hospital admissions and deaths amongst this vulnerable group. There is little evidence of frailty prevalence amongst patients hospitalised with COVID-19, nor the impact of frailty on their survival. Methods Prospective observational study of all consecutive patients admitted to Salford Royal NHS Foundation (SRFT) Trust between 27th February and 28th April 2020 (wave 1), and 1st October to 10th November 2020 (wave 2) with a diagnosis of COVID-19. The primary endpoint was in-hospital mortality. Patient demographics, co-morbidities, admission level disease severity (estimated with CRP) and frailty (using the Clinical Frailty Scale, score 1–3 = not frail, score 4–9 = frail) were collected. A Cox proportional hazards regression model was used to assess the time to mortality. Results A total of 693 (N = 429, wave 1; N = 264, wave 2) patients were included, 279 (N = 180, 42%, wave 1; N = 104, 38%, wave 2) were female, and the median age was 72 in wave 1 and 73 in wave 2. 318 (N = 212, 49%, wave 1; N = 106, 39%, wave 2) patients presenting were frail. There was a reduction in mortality in wave 2, adjusted Hazard ratio (aHR) = 0.60 (95%CI 0.44–0.81; p = 0.001). There was an association between frailty and mortality aHR = 1.57 (95%CI 1.09–2.26; p = 0.015). Conclusion Frailty is highly prevalent amongst patients of all ages admitted to SRFT with COVID-19. Higher scores of frailty are associated with increased mortality.

scholarly journals Why is renal impairment associated with poorer cancer specific survival in breast cancer patients?: a comparison with patients with other comorbidities

2020 ◽  
Vol 25 (10) ◽  
pp. 1786-1792
Author(s):  
Andy Evans ◽  
Russell Petty ◽  
Jane Macaskill
Keyword(s):  
Breast Cancer ◽  
Renal Function ◽  
Impaired Renal Function ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Study Group ◽  
Cancer Specific Survival ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
The Poor

Abstract Background Our aim is to assess whether the poor breast cancer specific survival (BCSS) seen in women with breast cancer and impaired renal function can be explained by associations with other prognostic factors. Methods The study group was a consecutive series of patients undergoing breast ultrasound (US) who had invasive breast cancer (n = 1171). All women had their US diameter and mean stiffness (kPa) at shear wave elastography (SWE) recorded. The core biopsy grade and receptor status were noted. Core biopsy of abnormal axillary nodes and the patient referral source was also noted. Survival including cause of death was ascertained. Comorbidities at diagnosis were recorded. Patients were divided into those with a GFR<60 (“renal group”), those with other comorbidities and those with none. BCSS was assessed using Kaplan–Meier survival curves and Cox proportional hazards regression. Results One thousand, one hundred and forty-one patients constituted the study group. 107 (9%) patients had impaired renal function, 182 (16%) had other comorbidities while 852 (75%) had no comorbidities. Mean follow-up was 5.8 years. 109 breast cancer and 122 non-breast cancer deaths occurred. BCSS in the renal group was significantly worse than the other groups. Women with renal comorbidity were older, more likely to present symptomatically, have a pre-operative diagnosis of axillary metastases, and have larger and stiffer cancers. Cox proportional hazards regression showed that renal impairment maintained independent significance. Conclusion The poor BCSS in women with impaired renal function is partially explained by advanced tumour stage at presentation. However, impaired renal function maintains an independent prognostic effect.

scholarly journals Multicenter, Observational Cohort Study Evaluating Third-Generation Cephalosporin Therapy for Bloodstream Infections Secondary to Enterobacter, Serratia, and Citrobacter Species

Antibiotics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 254 ◽  
Author(s):  
Caroline Derrick ◽  
P. Brandon Bookstaver ◽  
Zhiqiang K. Lu ◽  
Christopher M. Bland ◽  
S. Travis King ◽  
...  
Keyword(s):  
Cohort Study ◽  
Clinical Outcomes ◽  
Proportional Hazards ◽  
Bloodstream Infections ◽  
Cox Proportional Hazards ◽  
Third Generation ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Definitive Therapy ◽  
The Impact

Objectives: There is debate on whether the use of third-generation cephalosporins (3GC) increases the risk of clinical failure in bloodstream infections (BSIs) caused by chromosomally-mediated AmpC-producing Enterobacterales (CAE). This study evaluates the impact of definitive 3GC therapy versus other antibiotics on clinical outcomes in BSIs due to Enterobacter, Serratia, or Citrobacter species. Methods: This multicenter, retrospective cohort study evaluated adult hospitalized patients with BSIs secondary to Enterobacter, Serratia, or Citrobacter species from 1 January 2006 to 1 September 2014. Definitive 3GC therapy was compared to definitive therapy with other non-3GC antibiotics. Multivariable Cox proportional hazards regression evaluated the impact of definitive 3GC on overall treatment failure (OTF) as a composite of in-hospital mortality, 30-day hospital readmission, or 90-day reinfection. Results: A total of 381 patients from 18 institutions in the southeastern United States were enrolled. Common sources of BSIs were the urinary tract and central venous catheters (78 (20.5%) patients each). Definitive 3GC therapy was utilized in 65 (17.1%) patients. OTF occurred in 22/65 patients (33.9%) in the definitive 3GC group vs. 94/316 (29.8%) in the non-3GC group (p = 0.51). Individual components of OTF were comparable between groups. Risk of OTF was comparable with definitive 3GC therapy vs. definitive non-3GC therapy (aHR 0.93, 95% CI 0.51–1.72) in multivariable Cox proportional hazards regression analysis. Conclusions: These outcomes suggest definitive 3GC therapy does not significantly alter the risk of poor clinical outcomes in the treatment of BSIs secondary to Enterobacter, Serratia, or Citrobacter species compared to other antimicrobial agents.

scholarly journals A Quasi-Experiment To Study the Impact of Vancomycin Area under the Concentration-Time Curve-Guided Dosing on Vancomycin-Associated Nephrotoxicity

2017 ◽  
Vol 61 (12) ◽  
Author(s):  
Natalie A. Finch ◽  
Evan J. Zasowski ◽  
Kyle P. Murray ◽  
Ryan P. Mynatt ◽  
Jing J. Zhao ◽  
...  
Keyword(s):  
Trough Concentration ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Time Curve ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Concentration Time ◽  
Trough Concentrations ◽  
The Impact ◽  
Quasi Experiment

ABSTRACT Evidence suggests that maintenance of vancomycin trough concentrations at between 15 and 20 mg/liter, as currently recommended, is frequently unnecessary to achieve the daily area under the concentration-time curve (AUC24) target of ≥400 mg · h/liter. Many patients with trough concentrations in this range have AUC24 values in excess of the therapeutic threshold and within the exposure range associated with nephrotoxicity. On the basis of this, the Detroit Medical Center switched from trough concentration-guided dosing to AUC-guided dosing to minimize potentially unnecessary vancomycin exposure. The primary objective of this analysis was to assess the impact of this intervention on vancomycin-associated nephrotoxicity in a single-center, retrospective quasi-experiment of hospitalized adult patients receiving intravenous vancomycin from 2014 to 2015. The primary analysis compared the incidence of nephrotoxicity between patients monitored by assessment of the AUC24 and those monitored by assessment of the trough concentration. Multivariable logistic and Cox proportional hazards regression examined the independent association between the monitoring strategy and nephrotoxicity. Secondary analysis compared vancomycin exposures (total daily dose, AUC, and trough concentrations) between monitoring strategies. Overall, 1,280 patients were included in the analysis. After adjusting for severity of illness, comorbidity, duration of vancomycin therapy, and concomitant receipt of nephrotoxins, AUC-guided dosing was independently associated with lower nephrotoxicity by both logistic regression (odds ratio, 0.52; 95% confidence interval [CI], 0.34 to 0.80; P = 0.003) and Cox proportional hazards regression (hazard ratio, 0.53; 95% CI, 0.35 to 0.78; P = 0.002). AUC-guided dosing was associated with lower total daily vancomycin doses, AUC values, and trough concentrations. Vancomycin AUC-guided dosing was associated with reduced nephrotoxicity, which appeared to be a result of reduced vancomycin exposure.

scholarly journals Replacement of potatoes with other vegetables and risk of myocardial infarction in the Danish Diet, Cancer and Health cohort

2021 ◽  
pp. 1-21
Author(s):  
Anne Mette L. Würtz ◽  
Mette D. Hansen ◽  
Anne Tjønneland ◽  
Eric B. Rimm ◽  
Erik B. Schmidt ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Similar Pattern ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Heterogeneous Group ◽  
Dietary Guidelines ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Root Vegetables

ABSTRACT Intake of vegetables is recommended for the prevention of myocardial infarction (MI). However, vegetables make up a heterogeneous group, and subgroups of vegetables may be differentially associated with MI. The aim of this study was to examine replacement of potatoes with other vegetables or subgroups of other vegetables and the risk of MI. Substitutions between subgroups of other vegetables and risk of MI were also investigated. We followed 29,142 women and 26,029 men aged 50-64 years in the Danish Diet, Cancer and Health cohort. Diet was assessed at baseline by using a detailed validated FFQ. Hazards ratios (HR) with 95% CI for the incidence of MI were calculated using Cox proportional hazards regression. During 13.6 years of follow-up, 656 female and 1,694 male cases were identified. Among women, the adjusted HR for MI was 1.02 (95% CI: 0.93, 1.13) per 500 g/week replacement of potatoes with other vegetables. For vegetable subgroups, the HR was 0.93 (95% CI: 0.77, 1.13) for replacement of potatoes with fruiting vegetables and 0.91 (95% CI: 0.77, 1.07) for replacement of potatoes with other root vegetables. A higher intake of cabbage replacing other vegetable subgroups was associated with a statistically non-significant higher risk of MI. A similar pattern of associations was found when intake was expressed in kcal/week. Among men, the pattern of associations was overall found to be similar to that for women. This study supports food-based dietary guidelines recommending to consume a variety of vegetables from all subgroups.

Development and Validation of a Prognostic Nomogram Model for Recurrence of Non-Muscle Invasive Bladder Cancer

2021 ◽  
Author(s):  
Sanhe Liu ◽  
Yongzhi Li ◽  
Diansheng Cui ◽  
Yuexia Jiao ◽  
Liqun Duan ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Risk Stratification ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Muscle Invasive Bladder Cancer ◽  
Clinicopathologic Characteristics ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Muscle Invasive

Abstract BackgroundDifferent recurrence probability of non-muscle invasive bladder cancer (NMIBC) requests different adjuvant treatments and follow-up strategies. However, there is no simple, intuitive, and generally accepted clinical recurrence predictive model available for NMIBC. This study aims to construct a predictive model for the recurrence of NMIBC based on demographics and clinicopathologic characteristics from two independent centers. MethodsDemographics and clinicopathologic characteristics of 511 patients with NMIBC were retrospectively collected. Recurrence free survival (RFS) was estimated using the Kaplan-Meier method and log-rank tests. Univariate Cox proportional hazards regression analysis was used to screen variables associated with RFS, and a multivariate Cox proportional hazards regression model with a stepwise procedure was used to identify those factors of significance. A final nomogram model was built using the multivariable Cox method. The performance of the nomogram model was evaluated with respect to its calibration, discrimination, and clinical usefulness. Internal validation was assessed with bootstrap resampling. X-tile software was used for risk stratification calculated by the nomogram model. ResultsIndependent prognostic factors including tumor stage, recurrence status, and European Association of Urology (EAU) risk stratification group were introduced to the nomogram model. The model showed acceptable calibration and discrimination (area under the receiver operating characteristic [ROC] curve was 0.85; the consistency index [C-index] was 0.79 [95% CI: 0.76 to 0.82]), which was superior to the EAU risk stratification group alone. The decision curve also proved well clinical usefulness. Moreover, all populations could be stratified into three distinct risk groups by the nomogram model. ConclusionsWe established and validated a novel nomogram model that can provide individual prediction of RFS for patients with NMIBC. This intuitively prognostic nomogram model may help clinicians in postoperative treatment and follow-up decision-making.

Antibiotic and acid-suppression medications during early childhood are associated with obesity

Gut ◽  
2018 ◽  
Vol 68 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Christopher M Stark ◽  
Apryl Susi ◽  
Jill Emerick ◽  
Cade M Nylund
Keyword(s):  
Early Childhood ◽  
Department Of Defense ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Event Analysis ◽  
Early Exposure ◽  
Single Event ◽  
Inclusion Criteria ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

ObjectiveGut microbiota alterations are associated with obesity. Early exposure to medications, including acid suppressants and antibiotics, can alter gut biota and may increase the likelihood of developing obesity. We investigated the association of antibiotic, histamine-2 receptor antagonist (H2RA) and proton pump inhibitor (PPI) prescriptions during early childhood with a diagnosis of obesity.DesignWe performed a cohort study of US Department of Defense TRICARE beneficiaries born from October 2006 to September 2013. Exposures were defined as having any dispensed prescription for antibiotic, H2RA or PPI medications in the first 2 years of life. A single event analysis of obesity was performed using Cox proportional hazards regression.Results333 353 children met inclusion criteria, with 241 502 (72.4%) children prescribed an antibiotic, 39 488 (11.8%) an H2RA and 11 089 (3.3%) a PPI. Antibiotic prescriptions were associated with obesity (HR 1.26; 95% CI 1.23 to 1.28). This association persisted regardless of antibiotic class and strengthened with each additional class of antibiotic prescribed. H2RA and PPI prescriptions were also associated with obesity, with a stronger association for each 30-day supply prescribed. The HR increased commensurately with exposure to each additional medication group prescribed.ConclusionsAntibiotics, acid suppressants and the combination of multiple medications in the first 2 years of life are associated with a diagnosis of childhood obesity. Microbiota-altering medications administered in early childhood may influence weight gain.

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