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BackgroundPrevious epidemiological studies have found positive associations between maternal infections and childhood leukaemia; however, evidence from prospective cohort studies is scarce. We aimed to examine the associations using large-scale prospective data.MethodsData were pooled from six population-based birth cohorts in Australia, Denmark, Israel, Norway, the UK and the USA (recruitment 1950s-2000s). Primary outcomes were any childhood leukaemia and acute lymphoblastic leukaemia (ALL); secondary outcomes were acute myeloid leukaemia (AML) and any childhood cancer. Exposures included maternal self-reported infections [influenza-like illness, common cold, any respiratory tract infection, vaginal thrush, vaginal infections and urinary tract infection (including cystitis)] and infection-associated symptoms (fever and diarrhoea) during pregnancy. Covariate-adjusted hazard ratio (HR) and 95% confidence interval (CI) were estimated using multilevel Cox models.ResultsAmong 312 879 children with a median follow-up of 13.6 years, 167 leukaemias, including 129 ALL and 33 AML, were identified. Maternal urinary tract infection was associated with increased risk of any leukaemia [HR (95% CI) 1.68 (1.10-2.58)] and subtypes ALL [1.49 (0.87-2.56)] and AML [2.70 ([0.93-7.86)], but not with any cancer [1.13 (0.85-1.51)]. Respiratory tract infection was associated with increased risk of any leukaemia [1.57 (1.06-2.34)], ALL [1.43 (0.94-2.19)], AML [2.37 (1.10-5.12)] and any cancer [1.33 (1.09-1.63)]; influenza-like illness showed a similar pattern but with less precise estimates. There was no evidence of a link between other infections and any outcomes.ConclusionsUrinary tract and respiratory tract infections during pregnancy may be associated with childhood leukaemia, but the absolute risk is small given the rarity of the outcome.

ObjectiveTo summarize the published evidence regarding the association between maternal infection during pregnancy and childhood leukemia.Study designIn this systematic review and meta-analysis (PROSPERO number, CRD42018087289), we searched PubMed and Embase to identify relevant studies. We included human studies that reported associations of at least one measure of maternal infection during pregnancy with acute lymphoblastic leukemia (ALL) or all childhood leukemias in the offspring. One reviewer extracted the data first using a standardized form, and the second reviewer independently checked the data for accuracy. Two reviewers used the Newcastle-Ottawa Scale to assess the quality of included studies. We conducted random effects meta-analyses to pool the ORs of specific type of infection on ALL and childhood leukemia.ResultsThis review included 20 studies (ALL, n = 15; childhood leukemia, n = 14) reported in 32 articles. Most (>65%) included studies reported a positive association between infection variables and ALL or childhood leukemia. Among specific types of infection, we found that influenza during pregnancy was associated with higher risk of ALL (pooled OR, 3.64; 95% CI, 1.34-9.90) and childhood leukemia (pooled OR, 1.77; 95% CI, 1.01-3.11). Varicella (pooled OR, 10.19; 95% CI, 1.98-52.39) and rubella (pooled OR, 2.79; 95% CI, 1.16-6.71) infections were also associated with higher childhood leukemia risk.ConclusionsOur findings suggest that maternal infection during pregnancy may be associated with a higher risk of childhood leukemia.

Assessing quality of care is essential for improving the management of patients experiencing traumatic brain injury (TBI). This study aimed at devising a rigorous framework to evaluate the quality of TBI care provided by intensive care units (ICUs) and applying it to the Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe (CREACTIVE) consortium, which involved 83 ICUs from seven countries. The performance of the centers was assessed in terms of patients' outcomes, as measured by the 6-month Glasgow Outcome Scale-Extended (GOS-E). To account for the between-center differences in the characteristics of the admitted patients, we developed a multinomial logistic regression model estimating the probability of a four-level categorization of the GOS-E: good recovery (GR), moderate disability (MD), severe disability (SD), and death or vegetative state (D/VS). A total of 5928 patients admitted to the participating ICUs between March 2014 and March 2019 were analyzed. The model included 11 predictors and demonstrated good discrimination (area under the receiver operating characteristic [ROC] curve in the validation set for GR: 0.836, MD: 0.802, SD: 0.706, D/VS: 0.890) and calibration, both overall (Hosmer–Lemeshow test p value: 0.87) and in several subgroups, defined by prognostically relevant variables. The model was used as a benchmark for assessing quality of care by comparing the observed number of patients experiencing GR, MD, SD, and D/VS to the corresponding numbers expected in each category by the model, computing observed/expected (O/E) ratios. The four center-specific ratios were assembled with polar representations and used to provide a multidimensional assessment of the ICUs, overcoming the loss of information consequent to the traditional dichotomizations of the outcome in TBI research. The proposed framework can help in identifying strengths and weaknesses of current TBI care, triggering the changes that are necessary to improve patient outcomes. [ABSTRACT FROM AUTHOR]

Objective: Tracheostomy is performed for various indications ranging from prolonged ventilation to airway obstruction. Many factors may play a role in the incidence of complications in the immediate post‐operative period including patient‐related factors. Chronic obstructive pulmonary disease and asthma are some of the most common pulmonary pathologies in the United States. The relationship between obstructive pulmonary diseases and acute post‐tracheostomy complications has been incompletely studied. Design: A retrospective chart review was designed in order to answer these objectives. Medical records were reviewed for the technique used, complications, and contributing patient factors. Post‐operative complications were defined as any tracheostomy‐related adverse event occurring within 14 days. Setting: The study took place at an academic comprehensive cancer. Participants: Inclusion criteria included patients from January 2017 through December 2018 who underwent a tracheostomy. Exclusion criteria included presence of stomaplasty, total laryngectomy, and tracheostomies performed at outside hospitals. Main outcome measures: Patient factors examined included demographics, comorbidities, and body mass index with the primary outcome measured being the rate of tracheostomy complications. Results: The most common indication for tracheostomy among the 321 patients that met inclusion criteria was airway obstruction or a head and neck cancer surgical procedure. Obstructive sleep apnea was associated with acute complications in bivariate analysis (29.4% complications, p =.003). Chronic obstructive pulmonary disease and asthma were not associated with acute complications in bivariate analysis (11.6% complications, p =.302). Among the secondary outcomes measured, radiation was associated with early complications occurring in post‐operative days 0–6 (1.1%, p =.029). Conclusion: Patients with obstructive sleep apnea may have a higher risk of acute post‐tracheostomy complications that might be due to the patient population at risk for obstructive sleep apnea. Patients with obstructive pulmonary pathologies such as asthma or chronic obstructive pulmonary disorder did not have an elevated risk of complications which is clinically significant when considering the utility of ventilation and tracheostomy in the management of acute respiratory failure secondary to these conditions. [ABSTRACT FROM AUTHOR]

Purpose: The Amish, a unique community living in Ohio Appalachia, have lower cancer incidence rates than non-Amish living in Ohio Appalachia. The purpose of this study was to examine cancer screening rates among Amish compared to non-Amish adults living in Ohio Appalachia and a national sample of adults of the same race and ethnicity in an effort to explain cancer patterns. Methods: Face-to-face interviews focusing on perception of risk, cancer screening behaviors, and screening barriers were conducted among Amish (n = 134) and non-Amish (n = 154) adults living in Ohio Appalachia. Cancer screening rates were calculated and then compared to a national sample of adults. Findings: More Ohio Appalachia non-Amish males (35.9% vs 14.5%; P = 0.022) and females (33.3% vs 12.5%; P = 0.008) reported that they would probably develop cancer in the future compared to Amish males and females. Amish adults had significantly lower prostate (13.5% vs 63.1% vs 44.6%; P less than 0.001), colorectal (males: 10.3% vs 40.0% vs 37.2%, females: 8.6% vs 31.6% vs 42.9%; P less than 0.001), cervical (48.0% vs 84.0% vs 80.0%; P less than 0.001), and female breast (24.8% vs 53.7% vs 56.9%; P less than 0.05) cancer screening rates compared to Ohio Appalachia non-Amish participants and a national sample of adults, respectively. Barriers to cancer screening were similar among the 2 Ohio groups; however, Amish males reported that prostate cancer screening was not necessary more often than did Ohio Appalachia non-Amish males (78.6% vs 16.7%; P = 0.003). Conclusions: Lower rates of cancer screening were documented among the Amish and may be a contributing factor to the reduced cancer incidence rates reported among this population.

Purpose: The objective of this study was to estimate tobacco use prevalence among the Amish in Holmes County, Ohio, using both self-report and a biochemical marker of nicotine exposure. Methods: Amish adults (n = 134) were interviewed as part of a lifestyle study. Self-reported tobacco use was measured using standardized questions, and cotinine was measured from a saliva sample. The prevalence of smoking, total tobacco use, and misclassification were estimated separately by gender, and then compared to 2 non-Amish groups. One group was selected from 2 counties contained within the Holmes County Amish settlement (n = 154) and the other was representative of non-Hispanic whites in the United States (n = 4,099). Findings: No Amish women reported current tobacco use and only 2 reported former use. This was significantly different (P less than 0.0001) from the patterns observed among non-Amish in the settlement counties (15.7%) and US white (23.3%) women. The prevalence of tobacco use among Amish men was 17.6% and this was significantly lower than estimates from non-Amish in the settlement counties (38.8%, P = 0.04) and US white (32.2%, P = 0.005) men. No Amish women and only 2 Amish men underreported tobacco use and misclassification was similar in the comparison groups. Conclusions: Tobacco use is significantly lower among adults in the largest Amish settlement in the world compared to their non-Amish neighbors in Appalachia Ohio and US whites. A strength of this study is that self report was verified with a marker of nicotine, a critical measure to include in any study conducted in a group that stigmatizes tobacco use.