Abdissa Negassa

Relationship of current and past smoking to mortality and morbidity in patients with left ventricular dysfunction

OBJECTIVES The aim of this study was to evaluate the impact of smoking in patients with left ventricular dysfunction. BACKGROUND The impact of smoking in patients with left ventricular dysfunction has not been well-studied. METHODS We compared the incidence of death, hospitalization due to heart failure and myocardial infarction (MI) in current smokers to ex-smokers of < or =2 years and ex-smokers of >2 years duration to never-smokers among participants of the Study Of Left Ventricular Dysfunction (SOLVD) Prevention and Intervention trials. Participants all had left ventricular ejection fraction (LVEF) <35% and follow-up was over a mean of 41 months. RESULTS Complete smoking status and outcome data were available in 6,704 subjects. There were 1,562 current smokers, 1,317 ex-smokers of < or =2 years, 2,354 ex-smokers of >2 years and 1,471 never-smokers. After adjusting for baseline differences of age, LVEF, race and etiology of heart failure, current smoking was associated with a significantly increased all-cause mortality (relative risk [RR]: 1.41, 95% confidence interval [CI]: 1.25 to 1.58, p < 0.001) compared with ex-smokers and never-smokers. The incidence of death or recurrent congestive heart failure requiring hospitalization or MI was significantly greater (RR: 1.39, 95% CI: 1.26 to 1.52, p < 0.001) in current smokers compared with ex-smokers and never-smokers. There were no significant differences in the number of deaths or hospitalizations due to heart failure between ex-smokers and never-smokers. This effect was consistent across both the SOLVD Prevention and Treatment trials. CONCLUSIONS Current smoking is a powerful independent predictor of morbidity (recurrent heart failure and MI) and mortality in patients with left ventricular dysfunction. Quitting smoking appears to have a substantial and early effect (within two years) on decreasing morbidity and mortality in patients with left ventricular dysfunction, which is at least as large as proven drug treatments recommended in patients with left ventricular dysfunction.

Validation of the histologic risk model in a new cohort of patients with head and neck squamous cell carcinoma

BackgroundHalf of the patients with head and neck squamous cell carcinoma (HNSCC) can be expected to fail therapy, indicating that more aggressive treatment is warranted for this group. We have developed a novel risk model that can become a basis for developing new treatment paradigms. Here we report on the performance of our model in a new multicenter cohort. DesignEligible patients from 3 institutions (Montefiore Medical Center, University of Manitoba, and New York University Medical Center) were identified and pathology slides from their resection specimens were reviewed by Margaret Brandwein-Gensler; risk category was assigned as previously published. Kaplan-Meier analysis was performed for disease progression and survival. Cox proportional hazards regression was performed, adjusted for potential confounders. A teaching module was also developed; attending pathologists were asked to score coded slides after a lecture and multiheaded microscope teaching session. Agreement was assessed by calculating Cohen unweighted κ coefficients. ResultThe validation cohort consisted of 305 patients, from the above institutions, with 311 primary HNSCC of the oral cavity, oropharynx, and larynx. The median follow-up period for all patients was 27 months. Risk category predicts time to disease progression (P=0.0005), locoregional recurrence (P=0.013), and overall survival (P=0.0000) by Kaplan-Meier analysis. High-risk status is significantly associated with decreased time to disease progression, adjusted for clinical confounders (P=0.015, hazard ratio 2.32, 95% confidence interval 1.18-4.58) compared with collapsed intermediate and low-risk groups. We also demonstrate substantial interrater agreement (κ=0.64), and very good rater agreement when compared with the standard (κ=0.87). ConclusionsWe demonstrate significant predictive performance of the risk model in a new cohort of patients with primary HNSCC, adjusted for confounders. Our training experience also supports the feasibility of adapting the risk model in clinical practice.

Targeting insulin inhibition as a metabolic therapy in advanced cancer: A pilot safety and feasibility dietary trial in 10 patients

OBJECTIVE Most aggressive cancers demonstrate a positive positron emission tomographic (PET) result using ¹⁸F-2-fluoro-2-deoxyglucose (FDG), reflecting a glycolytic phenotype. Inhibiting insulin secretion provides a method, consistent with published mechanisms, for limiting cancer growth. METHODS Eligible patients with advanced incurable cancers had a positive PET result, an Eastern Cooperative Oncology Group performance status of 0 to 2, normal organ function without diabetes or recent weight loss, and a body mass index of at least 20 kg/m². Insulin inhibition, effected by a supervised carbohydrate dietary restriction (5% of total kilocalories), was monitored for macronutrient intake, body weight, serum electrolytes, β-hydroxybutyrate, insulin, and insulin-like growth factors-1 and -2. An FDG-PET scan was obtained at study entry and exit. RESULTS Ten subjects completed 26 to 28 d of the study diet without associated unsafe adverse effects. Mean caloric intake decreased 35 ± 6% versus baseline, and weight decreased by a median of 4% (range 0.0-6.1%). In nine patients with prior rapid disease progression, five with stable disease or partial remission on PET scan after the diet exhibited a three-fold higher dietary ketosis than those with continued progressive disease (n = 4, P = 0.018). Caloric intake (P = 0.65) and weight loss (P = 0.45) did not differ in those with stable disease or partial remission versus progressive disease. Ketosis was associated inversely with serum insulin levels (P = 0.03). CONCLUSION Preliminary data demonstrate that an insulin-inhibiting diet is safe and feasible in selected patients with advanced cancer. The extent of ketosis, but not calorie deficit or weight loss, correlated with stable disease or partial remission. Further study is needed to assess insulin inhibition as complementary to standard cytotoxic and endocrine therapies.

Tree-structured prediction for censored survival data and the cox model

Prediction trees for the analysis of survival data are discussed. It is shown that trees are useful not only in summarizing the prognostic information contained in a set of covariates (prognostic classification), but also in detecting and displaying treatment-covariates interactions (subgroup analysis). The RECPAM approach to tree-growing is outlined; prognostic classification and subgroup analysis are then formulated within the RECPAM framework and on the basis of the Cox proportional hazards models with a priori strata. Two examples of data analysis are presented. The issue of cross-validation is discussed in relation to computationally cheaper model selection criteria.

A multi-center prospective cohort study of benign breast disease and risk of subsequent breast cancer

ObjectiveWe used a nested case–control design within a large, multi-center cohort of women who underwent a biopsy for benign breast disease (BBD) to assess the association of broad histologic groupings and specific histologic entities with risk of breast cancer.MethodsCases were all women who had a biopsy for BBD and who subsequently developed breast cancer; controls were individually matched to cases and were women with a biopsy for BBD who did not develop breast cancer in the same follow-up interval as that for the cases. After exclusions, 1,239 records (615 cases and 624 controls) were available for analysis. We used conditional logistic regression to estimate odds ratios and 95% confidence intervals (CIs).ResultsRelative to non-proliferative BBD/normal pathology, the multivariable-adjusted odds ratio for proliferative lesions without atypia was 1.45 (95% CI 1.10–1.90), and that for atypical hyperplasia was 5.27 (95% CI 2.29–12.15). The presence of multiple foci of columnar cell hyperplasia and of complex fibroadenoma without atypia was associated with a non-significantly increased risk of breast cancer, whereas sclerosing adenosis, radial scar, and papilloma showed no association with risk.ConclusionOur results indicate that, compared to women with normal pathology/non-proliferative disease, women with proliferative disease without atypia have a modestly increased risk of breast cancer, whereas women with atypical hyperplasia have a substantially increased risk.

Phase II Trial of Tipifarnib plus Neoadjuvant Doxorubicin-Cyclophosphamide in Patients with Clinical Stage IIB-IIIC Breast Cancer

Purpose: Tipifarnib is a farnesyl transferase (FTase) inhibitor that has activity in metastatic breast cancer and enhances the efficacy of cytotoxic agents in preclinical models. We evaluated the biological effects of tipifarnib in primary breast cancers in vivo, whether adding tipifarnib to preoperative chemotherapy increased the pathologic complete response rate (pCR) at surgery, and determined whether biomarkers predictive of pCR could be identified. Experimental Design: Forty-four patients with stage IIB-IIIC breast cancer received up to four cycles of neoadjuvant doxorubicin-cyclophosphamide (AC) every 2 weeks plus tipifarnib and filgrastim followed by surgery. Enzymatic assays measuring FTase activity and Western blotting for phospho (p)-signal transducer and activator of transcription 3 (STAT3), phospho-extracellular signal-regulated kinase, p-AKT, and p27 were done in 11 patients who agreed to optional tissue biopsies before therapy and 2 hours after the final dose of tipifarnib during the first cycle, and predictive biomarkers were evaluated by immunohistochemistry in 33 patients. The trial was powered to detect an improvement in breast pCR rate of 10% or less expected for AC alone to 25% for AC-tipifarnib (α = 0.05, β = 0.10). Results: Eleven patients had a breast pCR (25%; 95% confidence interval, 13-40%). FTase enzyme activity decreased in all patients (median, 91%; range, 24-100%) and p-STAT3 expression decreased in 7 of 9 (77%) patients. Low tumor Ki-67 expression (below the median of 60%) at baseline was significantly associated with resistance to therapy (P = 0.01). Conclusion: Tipifarnib inhibits FTase activity in human breast tumors in vivo, is associated with down-regulation of p-STAT3, and enhances the breast pCR rate, thus meriting further evaluation.

Conjugated Equine Estrogen and Risk of Benign Proliferative Breast Disease: A Randomized Controlled Trial

BACKGROUND Estrogens stimulate proliferation of breast epithelium and may therefore increase the risk of benign proliferative breast disease, a condition that is associated with increased risk of breast cancer. We tested the effect of conjugated equine estrogen (CEE) on risk of benign proliferative breast disease in the Womens Health Initiative (WHI) randomized controlled trial. METHODS In the WHI CEE trial, 10,739 postmenopausal women were randomly assigned to 0.625 mg/d of CEE or to placebo. Baseline and annual breast examinations and mammograms were required. We identified women in the trial who reported breast biopsies that were free of cancer, obtained the associated histological sections, and subjected them to standardized central review. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). All statistical tests were two-sided. RESULTS A total of 232 incident cases of benign proliferative breast disease were ascertained during follow-up (average duration, 6.9 years), with 155 in the CEE group and 77 in the placebo group. Use of CEE was associated with a more than two-fold increase in the risk of benign proliferative breast disease (HR = 2.11, 95% CI = 1.58 to 2.81). For benign proliferative breast disease without atypia, the HR was 2.34 (95% CI = 1.71 to 3.20), whereas for atypical hyperplasia, it was 1.12 (95% CI = 0.53 to 2.40). Risk varied little by levels of baseline characteristics. CONCLUSION Use of 0.625 mg/d of CEE was associated with a statistically significant increased risk of benign proliferative breast disease.

Combining neurohormonal blockade with continuous-flow left ventricular assist device support for myocardial recovery: A single-arm prospective study

BACKGROUND Combining mechanical unloading by a continuous-flow left ventricular assist device (CF-LVAD) and neurohormonal blockade with heart failure medications (HFMED) is an underexplored clinical strategy to promote recovery of cardiac function in patients with advanced heart failure (HF). METHODS We implemented a clinical protocol to achieve maximal neurohormonal blockade after placement of a CF-LVAD and assessed its utility in an LVAD weaning (6,200 rpm) study. Thirty-four subjects were enrolled after CF-LVAD and were managed with aggressive, bi-weekly up-titration of HFMED. RESULTS Twenty-one subjects (8 with coronary artery disease, 13 with idiopathic dilated cardiomyopathy) were included in this LVAD weaning investigation. Overall, combined CF-LVAD and HFMED resulted in significant reverse remodeling with a decrease in left atrial volume index (44.7±16.0 to 31.6±12.1 ml/m(2), p < 0.001) and LV internal diastolic diameter (6.7±1.5 to 6.0±1.6 cm, p = 0.003) and an increase in LV ejection fraction (17.4±6.5 to 33.1±16.2%, p < 0.001) during LVAD weaning (6,200 rpm). Five of 21 (24%) subjects demonstrated recovery of biventricular function. Exploratory analysis showed that recovered subjects had shorter duration HF, less myocardial fibrosis and less myocyte hypertrophy, and were supported at higher LVAD speeds. CONCLUSIONS CF-LVAD support in combination with HFMED leads to significant reverse remodeling in patients with advanced HF. Using this approach, one quarter of patients demonstrated complete recovery of cardiac function. Our results suggest that bridge to recovery in the current device era is a clinically meaningful phenomenon and merits further investigation.

Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

The performance of computationally inexpensive model selection criteria in the context of tree-structured subgroup analysis is investigated. It is shown through simulation that no single model selection criterion exhibits a uniformly superior performance over a wide range of scenarios. Therefore, a two-stage approach for model selection is proposed and shown to perform satisfactorily. Applied example of subgroup analysis is presented. Problems associated with tree-structured subgroup analysis are discussed and practical solutions are suggested.

Effect of smoking cessation on cough reflex sensitivity.

Recent studies have shown that cigarette smokers have diminished cough reflex sensitivity compared with nonsmokers. The current authors proposed a mechanism of chronic cigarette smoke-induced desensitisation of airway cough receptors. To investigate this hypothesis, cough sensitivity to inhaled capsaicin (C5) in chronic smokers was measured both while they were actively smoking and 2, 6, 12 and 24 weeks after smoking cessation. In total, 29 subjects underwent baseline capsaicin challenge while smoking and 2 weeks after smoking cessation. Mean±sem log C5 fell from 1.86±0.12 to 1.60±0.12, demonstrating significant enhancement of cough reflex sensitivity. Of the total, 20, 18 and 14 subjects successfully abstained from smoking for 6, 12 and 24 weeks, respectively. Mean log C5 values after 12 and 24 weeks of smoking cessation were significantly diminished from baseline. In a control group of smokers, mean log C5 did not decrease from baseline after 6, 12 and 24 weeks. Overall, the log C5 profile of the smoking cessation group showed a clear, linearly decreasing trend over time compared with the control group. Even after many years of smoking, cough sensitivity is enhanced as early as 2 weeks after smoking cessation. Given the importance of an intact cough reflex, these changes may provide clinical benefit.