| Literature DB >> 24732958 |
S L Ehlers1, C A Bronars1, C A Patten1, T Brockman2, C Hughes2, P A Decker3, J R Cerhan4, W Hogan5, A Dispenzieri5, S Ansell5, J Ebbert6, D Gastineau7.
Abstract
Tobacco use is a risk factor for adverse outcomes among hematopoietic SCT (HSCT) patients. Accurate identification of tobacco use offers a vital opportunity to treat this risk factor. The current study compared self-reported tobacco use status with serum cotinine levels among HSCT patients at the time of pre-transplant evaluation. A total of 444 participants completed both assessments; 44 participants (9.9%) were classified as tobacco users with serum cotinine concentrations >2 ng/mL vs 29 with self-reporting. Sensitivity and specificity of self-reporting were 65.9% and 100%, respectively. Positive and negative predictive values were 100% and 96.4%, respectively. Comparing tobacco use documented in the medical record with cotinine, sensitivity and specificity were 51.2% and 99.2%, respectively. Factors associated with tobacco use were male gender, single relationship status, less education and younger age. In summary, utilization of serum cotinine assays increased detection of tobacco use cases >50% over self-reporting. Results are discussed in the context of translation to care, including clinical and ethical implications, and current tobacco use treatment guidelines. When cotinine assays are not available, self-reporting of any tobacco use in the year before HSCT should trigger brief advice and cessation or relapse prevention counseling.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24732958 PMCID: PMC4162628 DOI: 10.1038/bmt.2014.70
Source DB: PubMed Journal: Bone Marrow Transplant ISSN: 0268-3369 Impact factor: 5.483
Demographic Information of Participants
| Total | |
|---|---|
| Gender | |
| F | 207 (38.9%) |
| M | 325 (61.1%) |
| Age at transplant | |
| N | 532 |
| Mean (SD) | 55.7 (12.1) |
| Median | 58.0 |
| Q1, Q3 | 50.0, 64.0 |
| Range | (19.0–76.0) |
| Race | |
| Missing | 62 |
| Non-White | 22 (4.7%) |
| White | 448 (95.3%) |
| Employment | |
| Missing | 20 |
| Not Employed | 257 (50.2%) |
| Employed | 255 (49.8%) |
| Education | |
| Missing | 27 |
| No high school diploma | 14 (2.8%) |
| High School Diploma or GED | 123 (24.4%) |
| Some college or 2 year degree | 155 (30.7%) |
| 4 year college graduate | 102 (20.2%) |
| Post graduate studies | 111 (22.0%) |
| Tobacco use based on pre-transplant survey | |
| Missing | 47 |
| Current | 34 (7.0%) |
| Former | 224 (46.2%) |
| Never | 227 (46.8%) |
| Tobacco use based on Patient Provided Information Form | |
| Smoker | 38 (6.7%) |
| Quit use | 262 (46.3%) |
| Never used | 266 (47%) |
| Marital status | |
| Missing | 19 |
| Not in committed relationship or married | 74 (14.4%) |
| Married/committed relationship | 439 (85.6%) |
| Diagnosis | |
| Missing | 46 |
| Acute leukemia/Myeloid/CML | 86 (17.7%) |
| Lymphoma (HD and NHL)/CLL | 146 (30.0%) |
| Amyloid and POEMS | 51 (10.5%) |
| Multiple Myeloma | 177 (36.4%) |
| Other (solid tumors/aplastic anemia/metabolic) | 26 (5.3%) |
| Transplant type | |
| Not transplanted | 46 |
| Allogeneic | 109 (22.4%) |
| Autologous | 376 (77.4%) |
| Syngeneic | 1 (0.2%) |
| Time from diagnosis date to survey date, months | |
| N | 444 |
| Mean (SD) | 25.2 (37.9) |
| Median | 7.7 |
| Q1, Q3 | 4.3, 26.8 |
| Range | (12 days to 274.6) |
| Time betweenpre-transplant survey to cotinine assessment, days | |
| N | 450 |
| Mean (SD) | −0.5 (1.4) |
| Median | 0.0 |
| Q1, Q3 | 0.0, 0 |
| Range | −7 – 6 |
Tobacco status: Accuracy of research survey versus serum cotinine at time of pre-HSCT evaluation
| Cotinine/Survey | + | − | |
|---|---|---|---|
| + | 29 | 0 | 100% PPV |
| − | 15 | 400 | 96.4% NPV |
| 65.9% | 100% |
PPV, positive predictive value; NPV, negative predictive value
Tobacco status: Accuracy of most recent annual medical record form versus serum cotinine at time of pre-HSCT evaluation
| Cotinine/Medical record | + | − | |
|---|---|---|---|
| + | 22 | 3 | 88.0% PPV |
| − | 21 | 395 | 95.0% NPV |
| 51.2% | 99.2% |
PPV, positive predictive value; NPV, negative predictive value