Geriatric assessment improves prediction of surgical outcomes in older adults undergoing pancreaticoduodenectomy: a prospective cohort study.

OBJECTIVE: To prospectively evaluate the additional value of geriatric assessment (GA) for predicting surgical outcomes in a cohort of older patients undergoing a pancreaticoduodenectomy (PD) for pancreatic tumors. BACKGROUND: Older patients are less often referred for possible PD. Standard preoperative assessments may underestimate the likelihood of significant adverse outcomes. The prospective utility of validated GA has not been studied in this group. METHODS: PD-eligible patients were enrolled in a prospective outcome study. Standard preoperative assessments were recorded. Elements of validated GA were also measured, including components of Fried's model of frailty, the Vulnerable Elders Survey (VES-13), and the Short Physical Performance Battery (SPPB). All postoperative adverse events were recorded, systematically reviewed, and graded using the Clavien-Dindo system by a surgeon blinded to the GA results. Multivariate regression analyses were conducted. RESULTS: Seventy-six older patients underwent a PD. Significant unrecognized vulnerability was identified at the baseline: Fried's "exhaustion" (37.3%), SPPB <10 (28.5%), and VES-13 >3 (15.4%). Within 30 days of PD, 46% experienced a severe complication (Clavien-Dindo grade ≥III). In regression analyses controlling for age, the body mass index, the American Society of Anesthesiologists score, and comorbidity burden, Fried's "exhaustion" predicted major complications [odds ratio (OR) = 4.06; P = 0.01], longer hospital stays (ß = 0.27; P = 0.02), and surgical intensive care unit admissions (OR = 4.30; P = 0.01). Both SPPB (OR = 0.61; P = 0.04) and older age predicted discharge to a rehabilitation facility (OR = 1.1; P < 0.05) and age correlated with a lower likelihood of hospital readmission (OR = 0.94; P = 0.02). CONCLUSIONS: Controlling for standard preoperative assessments, worse scores on GA prospectively and independently predicted important adverse outcomes. Geriatric assessment may help identify older patients at high risk for complications from PD.

Correlates of tobacco use among smokers and recent quitters diagnosed with cancer.

Smoking after a cancer diagnosis shortens survival time, increases risk of recurrence and the development of another primary tumor, reduces treatment efficacy, and increases treatment complications. Nevertheless, many patients who smoked prior to their illness continue to smoke after diagnosis and treatment. The development of effective smoking cessation interventions for cancer patients has been slowed by the lack of data concerning psychological correlates of smoking in this population. This study, with 74 cancer patients, showed that smoking and lower readiness to quit was associated with: having relatives at home who smoke, a longer time between diagnosis and assessment, completion of medical treatment, greater nicotine dependence, lower self-efficacy, quitting pros, and risk perceptions, and higher quitting cons, fatalistic beliefs, and emotional distress. Thus, smoking cessation treatments for cancer patients should include pharmacotherapy, relapse prevention, and counseling designed to facilitate self-efficacy, quitting pros, and risk awareness and to reduce the quitting cons, fatalism, and distress.

A randomized pilot study of cognitive-behavioral therapy versus basic health education for smoking cessation among cancer patients.

BACKGROUND: Previously, we have linked theoretically based cognitive and emotional variables to the ability of cancer patients to quit smoking. PURPOSE: In this study, we evaluated the impact of cognitive-behavioral therapy (CBT), which addressed these theoretically derived cognitive and emotional variables linked to tobacco use in this population, for promoting smoking cessation in a sample of cancer patients and assessed longitudinal predictors of smoking cessation. METHODS: Cancer patients (N=109) were randomized to either the theoretically based CBT intervention or to a general health education (GHE) condition, and all patients received nicotine replacement therapy. RESULTS: Contrary to our expectation, no significant difference in 30-day point-prevalence abstinence between the CBT and GHE conditions was detected at either a 1-month (44.9 vs. 47.3%, respectively) or 3-month (43.2% vs. 39.2%, respectively) follow-up evaluation. Higher quit motivation and lower cons of quitting were related to smoking cessation. CONCLUSIONS: Implications for the implementation of smoking cessation behavioral treatments in the oncologic context are discussed, as are directions for future research in this area.

Processes of change related to smoking behavior among cancer patients.

PURPOSE: The purpose of this study was to examine the degree to which transtheoretical model processes of change (methods and strategies for cessation) were associated with smoking status and quitting behavior (ie, intentions and attempts to quit) among patients with head and neck or lung cancer. The relationship between medical variables and processes of change was also explored. DESCRIPTION OF STUDY: Twenty-nine smokers and 45 abstainers who were recruited from treatment clinics within a comprehensive cancer center completed a brief survey. Multivariate analysis of variance and Pearson correlation procedures were used to evaluate hypothesized relationships. RESULTS: As hypothesized, quitters used behavioral processes such as counter-conditioning and reinforcement management significantly more than smokers and used self-reevaluation, an experiential process, significantly less than smokers. Contrary to the hypothesis, however, quit attempts and intentions were associated with both experiential (ie, consciousness raising and self-reevaluation) and behavioral (ie, reinforcement management and self-liberation) processes of change. Use of the processes of change was not influenced by medical variables, including cancer type, illness phase, disease stage, type of current medical treatment, and duration of illness. CLINICAL IMPLICATIONS: These findings suggest that behavioral counseling to promote smoking cessation for patients with cancer should involve assisting the patient to do the following: develop an awareness of the health risks related to continued smoking; devise and use alternative behaviors; implement the use of reinforcement strategies for cessation successes; and develop a sense of confidence and commitment about quitting as well as healthy lifestyle values. These strategies are discussed within the context of models and guidelines for smoking cessation in clinical practice.

Characteristics of cancer patients entering a smoking cessation program and correlates of quit motivation: implications for the development of tobacco control programs for cancer patients.

Even though survival and quality of life are adversely affected by smoking among cancer patients, about one-third of cancer patients who smoked prior to their diagnosis continue to smoke. One barrier to the provision of smoking cessation treatments to cancer patients is the paucity of data on the characteristics of cancer patients who continue to smoke and a lack of data on correlates of quit motivation in this population. This descriptive study assessed demographic, medical, smoking history, and psychological characteristics of cancer patients in a smoking cessation program (N=111) and examined these characteristics as correlates of quit motivation. Methods used by patients to quit smoking were also queried. We found that: (1) most patients are Caucasian, married, diagnosed with head and neck (versus lung) cancer, highly addicted to nicotine, and in the contemplation or preparation stage of change; (2) most patients attempt to quit smoking without formal treatment, although 33-50% have used the transdermal nicotine patch, nicotine gum, or bupropion; (3) depressive symptoms, low quitting self-efficacy, low perceived risk, and low perceived benefits of quitting are prevalent among patients, but most patients do not endorse the perceived disadvantages of quitting or fatalistic beliefs; and (4) quit motivation is associated with higher quitting self-efficacy, risk perceptions, and perceived benefits of quitting, lower tobacco use and nicotine addiction, and shorter time since diagnosis. These findings can help guide the development of smoking cessation interventions for cancer patients.

Comparing cancer patients who enroll in a smoking cessation program at a comprehensive cancer center with those who decline enrollment.

BACKGROUND: Despite the availability of smoking interventions for cancer patients, many eligible patients decline enrollment into such programs. We examined reasons patients provide for declining smoking treatment and compared treatment decliners to enrollees. METHODS: Eligible cancer patients (N = 231) were offered smoking cessation treatment. During recruitment, demographic, medical (eg, cancer stage), and smoking-related behavioral (eg, readiness to quit) data were collected, and decliners stated a reason for refusal. Patients who enrolled in the cessation program (N = 109) were compared with those who declined (N = 122) in terms of recruitment data, and reasons for declining were compiled. RESULTS: Decliners were significantly more likely to: (1) have head and neck cancer (vs lung cancer); (2) exhibit fewer physical symptoms (eg, shortness of breath); (3) report a lower readiness to quit smoking; (4) indicate no intention to quit smoking; and (5) smoke fewer cigarettes. A preference to quit without professional assistance was the most common reason for declining treatment. CONCLUSIONS: Our findings highlight important differences between patients who enroll in a smoking cessation program and those who decline and underscore the need for motivational interventions to facilitate enrollment into smoking interventions for cancer patients.

Longitudinal predictors of continued tobacco use among patients diagnosed with cancer.

Even though continued smoking by cancer patients adversely affects survival and quality of life, about one third of patients who smoked prior to their diagnosis continue to smoke after their diagnosis. The implementation of smoking cessation treatments for cancer patients has been slowed by the lack of data on correlates of tobacco use in this population. Thus, this longitudinal study assessed demographic, medical, addiction, and psychological predictors of tobacco use among 74 head, neck, and lung cancer patients. Multivariable binary logistic regression analyses, with outcome categorized as smoker or nonsmoker, indicated that the likelihood that patients would be a smoker was associated with lower levels of perceived risk and a higher level of quitting cons. Multivariable nominal logistic regression, with outcome classified as continuous smoker, continuous quitter, relapser, or follow-up quitter, indicated that: (a). patients categorized as continuous smokers reported significantly lower quitting self-efficacy than follow-up quitters and continuous quitters, (b). relapsers reported a significantly lower level of quitting self-efficacy than either follow-up quitters or continuous quitters, and (c). continuous smokers exhibited a significantly lower level of risk perceptions than continuous abstainers. These findings can be useful for the development and evaluation of treatments to promote smoking cessation among cancer patients.