Background To evaluate long-term health outcomes among childhood cancer survivors, St. Jude Children’s Research Hospital (SJCRH) has established the St. Jude Lifetime Cohort (SJLIFE), comprised of adult survivors who undergo risk-directed clinical assessments. As in any human research study, SJLIFE participants are volunteers who may not represent the source population from which they were recruited. A lack of proportional representation could result in biased estimates of exposure-outcome associations. We compared available demographic, disease, and neighborhood level characteristics between participants and the source population to assess the potential for selection bias. Procedures Potentially eligible patients for SJLIFE were enumerated as of October 31, 2011. Data from electronic medical records were combined with geocoded census data to develop an analytic data set of 3,108 patients (the evaluable source population) of whom 1766 (57%) underwent clinical assessment (participants). The ratio of relative frequencies (RRF) for characteristics was compared between participants and the source population, where RRF=1.0 indicates equal frequency of the characteristic. Results Participants and the source population had similar frequencies for most characteristics. Characteristics with modest relative differences (RRFs between 0.86 and 1.11) included sex, distance from SJCRH, primary diagnosis, median household income, median home value, and urbanicity. Conclusions Our results indicate a lack of substantive differences in the relative frequencies of demographic, disease, or neighborhood characteristics between participants and the source population in SJLIFE, thus alleviating serious concerns about selective non-participation in this cohort. Bias in specific exposure-outcome relations is still possible and will be considered in individual analyses.
Purpose To estimate the prevalence of emotional distress in a large cohort of adult survivors of childhood cancer and evaluate the interrelationship of risk factors including cancer-related late effects. Methods 1,863 adult survivors of childhood cancer, median age of 32 years at follow-up, completed comprehensive medical evaluations. Clinically relevant emotional distress was assessed using the Brief Symptom Inventory-18 and was defined as T-scores ≥63. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using multivariable logistic regression models to identify risk factors for distress. Path analysis was used to examine associations among identified risk factors. Results Elevated global distress was reported by 15.1% of survivors. Cancer-related pain was associated with elevated distress (OR 8.72; 95% CI, 5.32 – 14.31). Survivors who reported moderate learning or memory problems were more likely to have elevated distress than survivors who reported no learning or memory problems (OR 3.27; 95% CI, 2.17 – 4.93). Path analysis implied that cancer-related pain has a direct effect on distress symptoms and an indirect effect through socioeconomic status and learning or memory problems. Similar results were observed for learning or memory problems. Conclusions Childhood cancer-related morbidities including pain and learning or memory problems appear to be directly and indirectly associated with elevated distress symptoms decades after treatment. Understanding these associations may help inform intervention targets for survivors of childhood cancer experiencing symptoms of distress. Implications for cancer survivors A subset of long-term childhood cancer survivors experience significant emotional distress. Physical and cognitive late effects may contribute to these symptoms.
Background Conventional cigarette (CC) smoking is one of the most preventable causes of adverse birth outcomes. Although electronic cigarettes (ECs) are considered to be safer than CCs during pregnancy, the evidence is yet to be presented. This study examines the effects of prenatal EC use on neonatal birth outcomes compared to those of CC smokers and complete tobacco abstainers. Methods Data was extracted from 55,251 pregnant women who participated in the Phase 8 survey of the Pregnancy Risk Assessment Monitoring System between 2016 and 2018. Participants were classified into three groups based on their smoking behaviors in the third trimester: complete tobacco abstinence, exclusive CC smoking, or exclusive EC use. Adverse outcomes included infants being small-for-gestational-age (SGA), having low birthweight (LBW), and being born at preterm. EC users were matched to complete abstainers and CC smokers who share the same baseline characteristics in race/ethnicity, age, educational attainment, income, prenatal care adequacy, and first- and second-trimester CC smoking statuses. The association between EC use and adverse birth outcomes were examined by survey-weighted logistic regression analyses in the matched population. Results Among participants, 1.0% of women reported having used ECs during the third trimester, 60% of which reported using ECs exclusively. Neonates of EC users were significantly more likely to be SGA (OR 1.76; 95% CI 1.04, 2.96), have LBW (OR 1.53; 95% CI 1.06, 2.22), or be born preterm (OR 1.86; 95% CI 1.11, 3.12) compared to tobacco abstainers. However, odds of EC users’ pregnancies resulting in SGA (OR 0.67; 95% CI 0.30, 1.47), LBW (OR 0.71; 95% CI 0.37, 1.37), or preterm birth (OR 1.06; 95% CI 0.46, 2.48) were not significantly lower than those of CC smokers. Conclusions Even after accounting for shared risk factors between prenatal tobacco use and adverse birth outcomes, EC use remains an independent risk factor for neonatal complications and is not a safer alternative to CC smoking during pregnancy. Until further research is completed, all pregnant women are encouraged to abstain from all tobacco products including ECs.
This study shows that smoking sooner after waking, a reliable indicator of ND, substantially increases the risk of spirometry-defined pulmonary impairment and self-reported symptoms, independently of lifetime and current smoking behavior. This study adds to a small body of literature examining health outcomes associated with higher ND, including outcomes of COPD. The current study overcomes important shortcomings of these existing studies in at least two ways: controlling for other known risk factors for COPD, and using empirical, spirometry-defined outcomes pulmonary function rather than self-reported COPD outcomes.
Our study revealed that ASA physical status class is associated with increased SICU length of stay, mechanical ventilation, vasopressor treatment duration, NOD, readmission to ICU, and surgery risk is associated with NOD.
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