A systematic review of the International Classification of Diseases criteria for the diagnosis of tobacco dependence

Veterans with multiple risk factors for Barrett's esophagus are infrequently evaluated with upper endoscopy

Recent guidelines recommend screening for patients with chronic gastroesophageal reflux disease who have three or more additional risk factors for Barrett's esophagus (BE). Failure to screen high-risk individuals represents a missed opportunity in esophageal adenocarcinoma prevention and early detection. We aimed to determine the frequency of upper endoscopy and prevalence of BE and esophageal cancer in a cohort of United States veterans who possessed four or more risk factors for BE. All patients at VA New York Harbor Healthcare System with at least four risk factors for BE between 2012 and 2017 were identified. Procedure records were reviewed for upper endoscopies performed between January 2012 and December 2019. Multivariable logistic regression was used to determine risk factors associated with undergoing endoscopy and factors associated with BE and esophageal cancer. 4505 patients with at least four risk factors for BE were included. 828 patients (18.4%) underwent upper endoscopy, of which 42 (5.1%) were diagnosed with BE and 11 (1.3%) with esophageal cancer (10 adenocarcinoma; 1 squamous cell carcinoma). Among individuals who underwent upper endoscopy, risk factors associated with undergoing endoscopy included obesity (OR, 1.79; 95% CI, 1.41-2.30; P < 0.001) and chronic reflux (OR, 3.86; 95% CI, 3.04-4.90; P < 0.001). There were no individual risk factors associated with BE or BE/esophageal cancer. In this retrospective analysis of patients with 4 or more risk factors for BE, fewer than one-fifth of patients underwent upper endoscopy, supporting the need for efforts aimed at improving BE screening rates.

Unstructured Data Are Superior to Structured Data for Eliciting Quantitative Smoking History From the Electronic Health Record

PURPOSE

Develop a method for extracting smoking status and quantitative smoking history from clinician notes to facilitate cohort identification for low-dose computed tomography (LDCT) scanning for early detection of lung cancer.

MATERIALS AND METHODS

A sample of 4,615 adult patients were randomly selected from the Multiparameter Intelligent Monitoring in Critical Care (MIMIC-III) database. The structured data were obtained by queries of the diagnosis tables using the International Classification of Diseases codes in use at that time. Unstructured data were drawn from clinician notes via natural language processing (NLP) using named entity recognition and our clinical data processing and extraction algorithms to identify two main clinical criteria for each smoking patient: (1) pack years smoked and (2) time from quit date (if applicable). A subset of 10% of the patient charts were manually reviewed for accuracy and precision.

RESULTS

The structured data revealed 575 (12.5%) ever smokers (current plus past use). None of these patients had quantification of their smoking history, and 4,040 (87.5%) had no smoking information in the diagnosis tables; consequently, a cohort of patients eligible for LDCT could not be determined. Review of the physician notes by NLP disclosed 1,930 (41.8%) ever smokers of whom 537 were active smokers and 1,299 former smokers, and in 94 cases, it could not be determined if they were active or former smokers. A total of 1365 patients (29.6%) had no smoking data recorded. When the smoking and the age criteria for LDCT were applied to this group, 276 were found to be eligible for LDCT using the USPSTF criteria. As determined by clinician review, our F-score for identifying patients eligible for LDCT was 0.88.

CONCLUSION

Unstructured data, obtained by NLP, can accurately identify a precise cohort that meets the USPSTF guidelines for LDCT.

Influence of cigarette smoking on hormone and lipid metabolism in women in late reproductive stage

BACKGROUND

The aim of the study was to analyze lipid and hormone metabolism, body mass index (BMI), and age parameters in late reproductive stage women in relation to cigarette smoking.

METHODS

The study enrolled 345 healthy late reproductive stage women living in Poland; 13.33% were smokers. The first part of the study assessed lipid metabolism (total cholesterol, high-density lipoprotein [HDL], low-density lipoprotein [LDL], and triglycerides) and hormone metabolism (estradiol [E2], follicle-stimulating hormone [FSH], and anti-Müllerian hormone [AMH] levels) in women in the early phase of the follicular menstrual cycle. The second part of study was carried out using the diagnostic survey method, with a standardized questionnaire (Primary Care Evaluation of Mental Disorders [PRIME-MD]) and the authors' own research tools.

RESULTS

The women were aged 42.3±4.5 years (mean ± SD). The BMI (24.8±4.04 kg/m2) did not differ significantly between the groups. The women who smoked cigarettes had a statistically significantly (p<0.05) lower level of HDL as well as higher LDL and triglyceride levels (p<0.05). Differences were also shown in hormone levels: non-smoking participants had statistically significantly higher levels of E2 and FSH (p<0.05). In the group of non-smoking women, age was a predictor exerting a significant positive impact on the levels of total cholesterol, LDL, triglycerides, and AMH (p<0.05). BMI contributed to a decline in HDL and triglyceride levels. In the group of smoking women, age significantly positively influenced the level of E2, and negatively influenced AMH. BMI was associated with a significant decrease in the HDL level.

CONCLUSION

Smoking cigarettes affects the physical health of women in late reproductive stage through negative influences on lipid and hormone metabolism, among other factors. Age is an unmodifiable factor adversely affecting both lipids and hormones. Higher BMI has a negative influence on lipid metabolism in both groups of women in this study.

Waterpipe tobacco smoking: what is the evidence that it supports nicotine/tobacco dependence?

OBJECTIVE

Waterpipe tobacco smoking (WTS) involves passing tobacco smoke through water prior to inhalation, and has spread worldwide. This spread becomes a public health concern if it is associated with tobacco-caused disease and if WTS supports tobacco/nicotine dependence. A growing literature demonstrates that WTS is associated with disability, disease and death. This narrative review examines if WTS supports nicotine/tobacco dependence, and is intended to help guide tobacco control efforts worldwide.

DATA SOURCES

PUBMED search using: (("waterpipe" or "narghile" or "arghile" or "shisha" or "goza" or "narkeela" or "hookah" or "hubble bubble")) AND ("dependence" or "addiction").

STUDY SELECTION

Excluded were articles not in English, without original data, and that were not topic-related. Thirty-two articles were included with others identified by inspecting reference lists and other sources.

DATA SYNTHESIS

WTS and the delivery of the dependence-producing drug nicotine were examined, and then the extent to which the articles addressed WTS-induced nicotine/dependence explicitly, as well as implicitly with reference to criteria for dependence outlined by the WHO.

CONCLUSIONS

WTS supports nicotine/tobacco dependence because it is associated with nicotine delivery, and because some smokers experience withdrawal when they abstain from waterpipe, alter their behaviour in order to access a waterpipe and have difficulty quitting, even when motivated to do so. There is a strong need to support research investigating measurement of WTS-induced tobacco dependence, to inform the public of the risks of WTS, which include dependence, disability, disease and death, and to include WTS in the same public health policies that address tobacco cigarettes.

Nicotine: Pharmacology, Toxicity and Therapeutic use

Nicotine is naturally found in the plants belonging to the Solanaceae family. Concentrations high enough to have a pharmacological effect are seen only in the tobacco sub-family, approximately 2% of dry weight and in Duboisia Hopwoodii that has been used by Australian aborigines (http://en.wikipedia.org/wiki/Duboisia_hopwoodii). It is also present in the range of 2–7 microgram per kg of various edible plants.

Validity of the Italian version of the Severity of Dependence Scale (SDS) for nicotine dependence in smokers intending to quit

The objective was to test the psychometric properties of an Italian version of the Severity of Dependence Scale, a five-item measure designed to assess the compulsive dimension of drug dependence. 635 smokers enrolled in a tobacco dependence treatment program served as the participants. The Fagerström Test for Nicotine Dependence was used as a comparative measure. Dimensionality of the Severity of Dependence Scale and the Fagerström Test for Nicotine Dependence was assessed by factor analysis. Prediction of smoking at one year was evaluated by logistic regression. Factor analysis yielded a two-factor solution; however, the second factor explained very little variance. Factor 1 had a Cronbach's alpha of .66 (overall Scale coefficient = .44). The total Severity of Dependence Score predicted smoking at one year (OR = 1.10).

ICD-9 tobacco use codes are effective identifiers of smoking status

OBJECTIVE

To evaluate the validity of, characterize the usage of, and propose potential research applications for International Classification of Diseases, Ninth Revision (ICD-9) tobacco codes in clinical populations.

MATERIALS AND METHODS

Using data on cancer cases and cancer-free controls from Vanderbilt's biorepository, BioVU, we evaluated the utility of ICD-9 tobacco use codes to identify ever-smokers in general and high smoking prevalence (lung cancer) clinic populations. We assessed potential biases in documentation, and performed temporal analysis relating transitions between smoking codes to smoking cessation attempts. We also examined the suitability of these codes for use in genetic association analyses.

RESULTS

ICD-9 tobacco use codes can identify smokers in a general clinic population (specificity of 1, sensitivity of 0.32), and there is little evidence of documentation bias. Frequency of code transitions between 'current' and 'former' tobacco use was significantly correlated with initial success at smoking cessation (p<0.0001). Finally, code-based smoking status assignment is a comparable covariate to text-based smoking status for genetic association studies.

DISCUSSION

Our results support the use of ICD-9 tobacco use codes for identifying smokers in a clinical population. Furthermore, with some limitations, these codes are suitable for adjustment of smoking status in genetic studies utilizing electronic health records.

CONCLUSIONS

Researchers should not be deterred by the unavailability of full-text records to determine smoking status if they have ICD-9 code histories.

Dependence on tobacco and nicotine products: a case for product-specific assessment

The International Classification of Diseases and the Diagnostic and Statistical Manual for diagnosing tobacco/nicotine dependence emphasize the dependence-producing drug nicotine. These diagnostic tools have been challenged on grounds of poor predictive validity, and they do not differentiate across various forms of nicotine-containing products. In fact, nicotine-containing products (e.g., tobacco cigarettes, smokeless tobacco [ST], waterpipe, electronic cigarettes [ECIGs], and nicotine replacement [NR] products) have very different characteristics both in terms of sensory and behavioral involvement and also in pharmacokinetic and pharmacodynamic effects. For example, a cigarette and a nicotine patch are very different on almost every one of these dimensions. When ability to stop using a nicotine/tobacco product is used as a criterion for dependence, success rates vary considerably across products: Tobacco cigarette cessation is more difficult than ST cessation that in turn is more difficult than NR product cessation. Based on these results, we hypothesize that there is a continuum of dependence as much as there is a continuum of harm, with tobacco cigarettes and NR products on opposite ends of both continua and other products (waterpipe and ECIGs) somewhere in between. In order to capture more precisely the dependence produced by both nicotine and its administration forms, product-specific instruments may be required. The pros and cons of this approach are discussed.

Blockade of dopamine d4 receptors attenuates reinstatement of extinguished nicotine-seeking behavior in rats

Since cloning of the dopamine receptor D4 (DRD4), its role in the brain has remained unclear. It has been reported that polymorphism of the DRD4 gene in humans is associated with reactivity to cues related to tobacco smoking. However, the role of DRD4 in animal models of nicotine addiction has seldom been explored. In our study, male Long-Evans rats learned to intravenously self-administer nicotine under a fixed-ratio (FR) schedule of reinforcement. Effects of the selective DRD4 antagonist L-745,870 were evaluated on nicotine self-administration behavior and on reinstatement of extinguished nicotine-seeking behavior induced by nicotine-associated cues or by priming injections of nicotine. L-745,870 was also tested on reinstatement of extinguished food-seeking behavior as a control. In addition, the selective DRD4 agonist PD 168,077 was tested for its ability to reinstate extinguished nicotine-seeking behavior. Finally, L-745,870 was tested in Sprague Dawley rats trained to discriminate administration of 0.4 mg/kg nicotine from vehicle under an FR schedule of food delivery. L-745,870 significantly attenuated reinstatement of nicotine-seeking induced by both nicotine-associated cues and nicotine priming. In contrast, L-745,870 did not affect established nicotine self-administration behavior or reinstatement of food-seeking behavior induced by food cues or food priming. L-745,870 did not produce nicotine-like discriminative-stimulus effects and did not alter discriminative-stimulus effects of nicotine. PD 168,077 did not reinstate extinguished nicotine-seeking behavior. As DRD4 blockade by L-745,870 selectively attenuated both cue- and nicotine-induced reinstatement of nicotine-seeking behavior, without affecting cue- or food-induced reinstatement of food-seeking behavior, DRD4 antagonists are potential therapeutic agents against tobacco smoking relapse.

Thwarting science by protecting the received wisdom on tobacco addiction from the scientific method

In their commentary, Dar and Frenk call into question the validity of all published data that describe the onset of nicotine addiction. They argue that the data that describe the early onset of nicotine addiction is so different from the conventional wisdom that it is irrelevant. In this rebuttal, the author argues that the conventional wisdom cannot withstand an application of the scientific method that requires that theories be tested and discarded when they are contradicted by data. The author examines the origins of the threshold theory that has represented the conventional wisdom concerning the onset of nicotine addiction for 4 decades. The major tenets of the threshold theory are presented as hypotheses followed by an examination of the relevant literature. Every tenet of the threshold theory is contradicted by all available relevant data and yet it remains the conventional wisdom. The author provides an evidence-based account of the natural history of nicotine addiction, including its onset and development as revealed by case histories, focus groups, and surveys involving tens of thousands of smokers. These peer-reviewed and replicated studies are the work of independent researchers from around the world using a variety of measures, and they provide a consistent and coherent clinical picture. The author argues that the scientific method demands that the fanciful conventional wisdom be discarded and replaced with the evidence-based description of nicotine addiction that is backed by data. The author charges that in their attempt to defend the conventional wisdom in the face of overwhelming data to the contrary, Dar and Frenk attempt to destroy the credibility of all who have produced these data. Dar and Frenk accuse other researchers of committing methodological errors and showing bias in the analysis of data when in fact Dar and Frenk commit several errors and reveal their bias by using a few outlying data points to misrepresent an entire body of research, and by grossly and consistently mischaracterizing the claims of those whose research they attack.