tobacco use

Tobacco use is the leading preventable cause of disease, disability, and death in the US. In 2014, it was estimated that 480 000 deaths annually are attributed to cigarette smoking, including second hand smoke exposure. Smoking during pregnancy can increase the risk of numerous adverse pregnancy outcomes (eg, miscarriage and congenital anomalies) and complications in the offspring (including sudden infant death syndrome and impaired lung function in childhood). In 2019, an estimated 50.6 million US adults (20.8% of the adult population) used tobacco; 14.0% of the US adult population currently smoked cigarettes and 4.5% of the adult population used electronic cigarettes (e-cigarettes). Among pregnant US women who gave birth in 2016, 7.2% reported smoking cigarettes while pregnant

Author/s:

US Preventative Services task Force

Leukocytosis and Tobacco Use: An Observational Study of Asymptomatic Leukocytosis

Brian Desmarais — Wed, 22 Jul 2020 16:13:13 +0000

Date Added:

July 22, 2020

Journal/Publication:

American Journal of Medicine

Publication Date:

July 16, 2020

URL:

Leukocytosis and Tobacco Use: An Observational Study of Asymptomatic Leukocytosis

Type:

Clinical Research Results

Format:

Article

DOI (1):

10.1016/j.amjmed.2020.06.014.

Keywords

Leukocytosis

Neutrophilia

tobacco use

Cigarette smoking can cause a mild reversible leukocytosis. James W. Mold, MD, MPH

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Abstract

Objective: This study aimed to characterize the white blood cell differential of tobacco smoking-induced leukocytosis and describe the longitudinal impact of smoking cessation on this peripheral blood abnormality.

Methods: Medical records of patients undergoing evaluation by hematologists for persistent leukocytosis were reviewed. Patients in whom leukocytosis was determined to be secondary to tobacco use after exclusion of other causes were identified. Demographic and laboratory data were collected at time of diagnosis. Patients were longitudinally followed and information regarding smoking cessation and follow up white blood cell values were recorded.

Results: Forty patients were determined to have smoking-induced leukocytosis. The median age was 49.5 years (range: 28-75 years), 24 patients were female, and the mean BMI was 31.5 kg/m2. The mean white blood cell count was 13.3 × 109/L (range: 9.8 to 20.9 × 109/L). 39 patients had absolute neutrophilia (98%), 21 lymphocytosis (53%), 20 monocytosis (50%), and 19 basophilia (48%). During follow up, eleven patients either quit (n=9) or reduced (n=2) tobacco use. Reduction in tobacco smoking led to a significant decrease in mean white blood cell count (13.2 × 109/L vs 11.1 × 109/L, p=0.02). The median time to decrease in white blood cell count following reduction in tobacco use was 8 weeks (range: 2 to 49 weeks).

Conclusions: Tobacco-induced leukocytosis was characterized by a mild elevation in total white blood cell count and was most commonly associated with neutrophilia, lymphocytosis, monocytosis, and basophilia. Cessation of smoking led to improvement in leukocytosis. Tobacco history should be elicited from all patients presenting with leukocytosis to limit unnecessary diagnostic testing, and counseling regarding smoking cessation should be offered.

Keywords: Leukocytosis; Neutrophilia; Tobacco Use.

Author/s:

Smith, C.J., Kluck, L.A., Ruan, G.J., Ashrani, A.A., Marshall, A.L., Pruthi, R.K., Shah, M.V., Wolanskyj-Spinner, A., Gangat , N., Litzow, M.R., Hogan, W.J., Sridharan, M., Go, R.S.

Helping patients manage substance use disorder: Tobacco, alcohol, and other drugs

John Bayhi — Mon, 03 Feb 2020 20:04:07 +0000

Date Added:

February 3, 2020

Publisher:

Alosa Health

Publication Date:

January 1, 2020

Type:

Clinical Decision Aids

Format:

Article

Keywords

substance use disorder

alcohol use disorder

opioid-use disorder

tobacco use

This guide was prepared for use in the OPHIC implementation projects involving management of patients with substance use disorders. James W. Mold, MD, MPH

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Author/s:

Oklahoma Department of Mental & Substance Abuse Services, Oklahoma Primary Healthcare Improvement Cooperative, University of Oklahoma Health Sciences Center, Alosa Health

SBIRT: Improving behavioral health outcomes in primary care

John Bayhi — Mon, 03 Feb 2020 19:46:50 +0000

Date Added:

February 3, 2020

Publication Date:

October 31, 2019

Type:

Clinical Decision Aids

Format:

Poster

Keywords

SBIRT

screening and brief intervention

This clinical decision aid was produced for use in the OPHIC (Screening and Brief Intervention, Referral, and Treatment (SBIRT) for depression, alcohol, and substance abuse implementation project. James W. Mold, MD, MPH

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Author/s:

Oklahoma Department of Mental & Substance Abuse Services, Oklahoma Primary Healthcare Improvement Cooperative, University of Oklahoma Health Sciences Center, Alosa Health

Mobile phone text messaging and app-based interventions for smoking cessation

John Bayhi — Wed, 13 Nov 2019 18:55:26 +0000

Date Added:

November 13, 2019

Journal/Publication:

The Cochrane Database of Systematic Reviews

Publisher:

John Wiley & Sons, Inc.

Publication Date:

October 22, 2019

URL:

Mobile phone text messaging and app‐based interventions for smoking cessation

Type:

Meta-analyses, Reviews, and Guidelines

Format:

Article

DOI (1):

10.1002/14651858.CD006611.pub5

Keywords

PMID (1):

31638271

MeSH

It looks like primary care practices are going to want/need to be able to send automatic text message prompts and reminders to a patient trying to quit smoking. James W. Mold, MD, MPH

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Abstract

Background

Mobile phone‐based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face‐to‐face support. In addition, mCessation can be automated and therefore provided affordably even in resource‐poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012.

Objectives

To determine whether mobile phone‐based smoking cessation interventions increase smoking cessation rates in people who smoke.

Search methods

For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018.

Selection criteria

Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone‐based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six‐month follow‐up.

Data collection and analysis

We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta‐analyses of the most stringent measures of abstinence at six months' follow‐up or longer, using a Mantel‐Haenszel random‐effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only.

Main results

This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high‐income countries. There was moderate‐certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I2 = 71%; 13 studies, 14,133 participants). There was also moderate‐certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I2 = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high‐ and low‐intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I2 = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I2 = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower‐intensity smoking cessation support (either a lower‐intensity app or non‐app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I2 = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings.

Authors' conclusions

There is moderate‐certainty evidence that automated text message‐based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate‐certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.

Plain Language Summary

Can programmes delivered by mobile phones help people to stop smoking?

Background

Tobacco smoking is a leading cause of preventable death. Mobile phones can be used to support people who want to quit smoking. In this review, we have focused on programmes that use text messages or smartphone apps to do so.

Search date

We searched for published and unpublished studies in October 2018.

Study characteristics

We included 26 randomised controlled studies (involving over 33,000 people) that compared smoking quit rates in people who received text messages or smartphone apps to help them quit, with people who did not receive these programmes. We were interested in studies that measured smoking for six months or longer.

Key results

We found that text messaging programmes may be effective in supporting people to quit, increasing quit rates by 50% to 60%. This was the case when they were compared to minimal support or were tested as an addition to other forms of stop‐smoking support. There was not enough evidence to determine the effect of smartphone apps.

Quality and completeness of the evidence

Most of the studies were of high quality, although three studies had high drop out rates. We are moderately confident in the results of the text messaging interventions, but there were some issues with unexplained differences between study findings and for some comparisons there was not much data. We have low confidence in the results concerning smartphone apps, and more studies are needed in this field.

Author/s:

Whittaker, R, McRobbie, H, Bullen, C, Rodgers, A, Gu, Y, Dobson, R

Different doses, durations and modes of delivery of nicotine replacement therapy for smoking cessation

Tracy Ashby — Fri, 03 May 2019 05:00:00 +0000

Date Added:

May 3, 2019

Journal/Publication:

Cochrane Database of Systematic Reviews

Publisher:

John Wiley & Sons, Ltd.

Publication Date:

April 18, 2019

Issue:

URL:

Different doses, durations and modes of delivery of nicotine replacement therapy for smoking cessation

Type:

Meta-analyses, Reviews, and Guidelines

Format:

Article

DOI (1):

10.1002/14651858.CD013308

Keywords

PMID (1):

30997928

MeSH

nicotine

smoking cessation

tobacco use cessation products

tobacco

smoke

craving

substance withdrawal syndrome

risk

There is high‐certainty evidence that using combination NRT versus single‐form NRT, and 4 mg versus 2 mg nicotine gum, can increase the chances of successfully stopping smoking. James W. Mold, MD, MPH

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BACKGROUND:

Nicotine replacement therapy (NRT) aims to replace nicotine from cigarettes to ease the transition from cigarette smoking to abstinence. It works by reducing the intensity of craving and withdrawal symptoms. Although there is clear evidence that NRT used after smoking cessation is effective, it is unclear whether higher doses, longer durations of treatment, or using NRT before cessation add to its effectiveness.

OBJECTIVES:

To determine the effectiveness and safety of different forms, deliveries, doses, durations and schedules of NRT, for achieving long-term smoking cessation, compared to one another.

SEARCH METHODS:

We searched the Cochrane Tobacco Addiction Group trials register, and trial registries for papers mentioning NRT in the title, abstract or keywords. Date of most recent search: April 2018.

SELECTION CRITERIA:

Randomized trials in people motivated to quit, comparing one type of NRT use with another. We excluded trials that did not assess cessation as an outcome, with follow-up less than six months, and with additional intervention components not matched between arms. Trials comparing NRT to control, and trials comparing NRT to other pharmacotherapies, are covered elsewhere.

DATA COLLECTION AND ANALYSIS:

We followed standard Cochrane methods. Smokingabstinence was measured after at least six months, using the most rigorous definition available. We extracted data on cardiac adverse events (AEs), serious adverse events (SAEs), and study withdrawals due to treatment. We calculated the risk ratio (RR) and the 95% confidence interval (CI) for each outcome for each study, where possible. We grouped eligible studies according to the type of comparison. We carried out meta-analyses where appropriate, using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS:

We identified 63 trials with 41,509 participants. Most recruited adults either from the community or from healthcare clinics. People enrolled in the studies typically smoked at least 15 cigarettes a day. We judged 24 of the 63 studies to be at high risk of bias, but restricting the analysis only to those studies at low or unclear risk of bias did not significantly alter results, apart from in the case of the preloading comparison. There is high-certainty evidence that combination NRT (fast-acting form + patch) results in higher long-term quit rates than single form (RR 1.25, 95% CI 1.15 to 1.36, 14 studies, 11,356 participants; I2 = 4%). Moderate-certainty evidence, limited by imprecision, indicates that 42/44 mg are as effective as 21/22 mg (24-hour) patches (RR 1.09, 95% CI 0.93 to 1.29, 5 studies, 1655 participants; I2 = 38%), and that 21 mg are more effective than 14 mg (24-hour) patches (RR 1.48, 95% CI 1.06 to 2.08, 1 study, 537 participants). Moderate-certainty evidence (again limited by imprecision) also suggests a benefit of 25 mg over 15 mg (16-hour) patches, but the lower limit of the CI encompassed no difference (RR 1.19, 95% CI 1.00 to 1.41, 3 studies, 3446 participants; I2 = 0%). Five studies comparing 4 mg gum to 2 mg gum found a benefit of the higher dose (RR 1.43, 95% CI 1.12 to 1.83, 5 studies, 856 participants; I2 = 63%); however, results of a subgroup analysis suggest that only smokers who are highly dependent may benefit. Nine studies tested the effect of using NRT prior to quit day (preloading) in comparison to using it from quit day onward; there was moderate-certainty evidence, limited by risk of bias, of a favourable effect of preloading on abstinence (RR 1.25, 95% CI 1.08 to 1.44, 9 studies, 4395 participants; I2 = 0%). High-certainty evidence from eight studies suggests that using either a form of fast-acting NRT or a nicotine patch results in similar long-term quit rates (RR 0.90, 95% CI 0.77 to 1.05, 8 studies, 3319 participants; I2 = 0%). We found no evidence of an effect of duration of nicotine patch use (low-certainty evidence); 16-hour versus 24-hour daily patch use; duration of combination NRT use (low- and very low-certainty evidence); tapering of patch dose versus abrupt patch cessation; fast-acting NRT type (very low-certainty evidence); duration of nicotine gum use; ad lib versus fixed dosing of fast-acting NRT; free versus purchased NRT; length of provision of free NRT; ceasing versus continuing patch use on lapse; and participant- versus clinician-selected NRT. However, in most cases these findings are based on very low- or low-certainty evidence, and are the findings from single studies.AEs, SAEs and withdrawals due to treatment were all measured variably and infrequently across studies, resulting in low- or very low-certainty evidence for all comparisons. Most comparisons found no evidence of an effect on cardiac AEs, SAEs or withdrawals. Rates of these were low overall. Significantly more withdrawals due to treatment were reported in participants using nasal spray in comparison to patch in one trial (RR 3.47, 95% CI 1.15 to 10.46, 922 participants; very low certainty) and in participants using 42/44 mg patches in comparison to 21/22 mg patches across two trials (RR 4.99, 95% CI 1.60 to 15.50, 2 studies, 544 participants; I2 = 0%; low certainty).

AUTHORS' CONCLUSIONS:

There is high-certainty evidence that using combination NRT versus single-form NRT, and 4 mg versus 2 mg nicotine gum, can increase the chances of successfully stopping smoking. For patch dose comparisons, evidence was of moderate certainty, due to imprecision. Twenty-one mg patches resulted in higher quit rates than 14 mg (24-hour) patches, and using 25 mg patches resulted in higher quit rates than using 15 mg (16-hour) patches, although in the latter case the CI included one. There was no clear evidence of superiority for 42/44 mg over 21/22 mg (24-hour) patches. Using a fast-acting form of NRT, such as gum or lozenge, resulted in similar quit rates to nicotine patches. There is moderate-certainty evidence that using NRT prior to quitting may improve quit rates versus using it from quit date only; however, further research is needed to ensure the robustness of this finding. Evidence for the comparative safety and tolerability of different types of NRT use is of low and very low certainty. New studies should ensure that AEs, SAEs and withdrawals due to treatment are both measured and reported.

Author/s:

Lindson, Nicola, Chepkin, Samantha C., Ye, Weiyu, Fanshawe, Thomas R., Bullen, Chris, Hartmann-Boyce, Jamie