Twenty-first century tobacco use: it is not just a risk factor anymore.

Despite availability of effective treatments for nicotine addiction, smoking remains prevalent with serious health consequences. Most smokers recognize the ill effects of smoking but are unable to quit. Nicotine addiction may be viewed as any other chronic illness that results from exposure to a recognizable agent (tobacco) and manifests with a well-documented set of signs and symptoms. Much like any chronic disease, both environmental and genetic factors determine the occurrence and severity of this affliction. There has been recent focus on uncovering the genetic basis of nicotine addiction. In this article, we have attempted to briefly review the current evidence for the role of genetics in smoking as well as comment on available pharmacotherapeutic options for treating nicotine dependence.

The initial attitudes of patients toward longer maintenance hemodialysis.

UNLABELLED: Longer hemodialysis (HD) as practiced in parts of Europe and Japan may improve both blood pressure control and patient survival. Nevertheless, in the USA, the trend has been to shorten dialysis time using larger dialyzers and increased blood flows. Many patients find the notion of shorter dialysis enticing. Most are unaware ofthe potential benefits of longer dialysis. We surveyed stable chronic HD patients in an urban area, the vast majority of whom received conventional 4-hour treatments, regarding their attitude toward extending their dialysis time to 5 hours. They were informed that longer dialysis has been associated with better blood pressure control and improved survival. One hundred and sixteen patients completed questionnaires during a single dialysis session. Forty-six (40%) agreed to extended dialysis while 70 (60%) did not. There was no difference between the groups with respect to the following variables: age, race, etiology of ESRD, time on dialysis, marital status, number of children at home, number residing in the household, education, or employment status. Male gender was associated with a positive response (p = 0.03). Various suggested and spontaneous reasons were given for a negative response. CONCLUSION: With minimally detailed information, 4 in 10 patients were willing to extend their treatment time to 5 hours in the hope of improving morbidity and survival. No sociodemographic variable except gender was associated with a positive response.

The utility of peak flow, symptom scores, and beta-agonist use as outcome measures in asthma clinical research.

STUDY OBJECTIVES: Several methods of utilizing peak expiratory flow (PEF) and other markers of disease activity have been suggested as useful in the management of asthma. It remains unclear, however, as to which surrogate markers of disease status are discriminative indicators of treatment failure, suitable for use in clinical trials. DESIGN: We analyzed the operating characteristics of 66 surrogate markers of treatment failure using a receiver operating characteristic (ROC) curve analysis. PARTICIPANTS: Information regarding FEV(1), symptoms, beta(2)-agonist use, and PEF was available from 313 subjects previously enrolled in two Asthma Clinical Research Network trials, in which 71 treatment failures occurred (defined by a 20% fall in FEV(1) from baseline). INTERVENTIONS: None. MEASUREMENTS AND RESULTS: None of the measures had an acceptable ability to discriminate subjects with a > or % fall in FEV(1) from those without, regardless of the duration of the period of analysis or the criteria for test positivity employed. Areas under the ROC curves generated ranged from 0.51 to 0.79, but none were statistically superior. Sensitivity and specificity combinations were generally poor at all cutoff values; true-positive rates could not be raised without unacceptably elevating false-positive rates concurrently. CONCLUSIONS: Studies that seek to detect treatment failure defined by a significant fall in FEV(1) should not use such individual surrogate measures to estimate disease severity.

Pharmaceutically-based severity stratification of an asthmatic population.

Algorithms designed to precisely identify disease severity for a given patient within a managed care population are helpful in organizing targeted interventions. These algorithms are also attracting considerable attention within the medical research community. Several health risk screening instruments have been developed; however, these involve survey methodologies and have several shortcomings. We present a valid and efficient method for predicting healthcare resource utilization among asthmatics in an Health Maintenance Organization (HMO) population. First, various diagnosis, procedure and pharmacy billing codes were used to identify the asthmatics within the database. The screening algorithm awards points each time one of these codes is identified for an HMO member. By varying the number of points necessary to consider a patient asthmatic, the sensitivity, specificity, positive and negative predictive values of the algorithm can be adjusted. Once identified as asthmatic, subjects were then stratified into severity levels based on pharmacy data. Severity stratification was validated directly by measuring asthma-related bed days utilized during the 12 months following the date of stratification. Our identification algorithm estimated an asthma prevalence of 3.84% within the studied population, with age-specific prevalence estimates that closely mirrored previously published survey data. There was a monotonic relationship between pharmacy severity levels and inpatient resource utilization. For example, asthmatics in severity level 1 used only 92 hospital days per 1000 asthmatics in the year following characterization, while those in levels 2-5 used 133, 156, 277 and 1168 hospital days (P < 0.001), respectively. Results from this model can be used as adjusters in other predictive models or stand alone to represent a patient's severity of illness.