Effect of the Use of Reinforced Stapling on the Occurrence of Pancreatic Fistula After Distal Pancreatectomy: Results of the REPLAY (REinforcement of the Pancreas in distaL pAncreatectomY) Multicenter Randomized Clinical Trial

alexandrossfakianakis shared this article with you from Inoreader Effect of the Use of Reinforced Stapling on the Occurrence of Pancreatic Fistula After Distal Pancreatectomy: Results of the REPLAY (REinforcement of the Pancreas in distaL pAncreatectomY) Multicenter Randomized Clinical Trial via Annals of Surgery - Most Popular Articles Objective: The aim of the study was to evaluate the impact of the use of a reinforced stapler (RS) during distal pancreatectomy (DP) on postoperative outcomes. Background: DP remains associated with significant postoperative morbidity owing to pancreatic fistula (PF). To date, there is no consensus on the management of the pancreatic stump. The use of an RS potentially represents a simple way to decrease the rate of PF. Methods: The REPLAY study (NCT03030170) is a prospective, multicenter, randomized study. Patients who underwent DP were randomized (1:1 ratio) in 2 groups for the use of a standard stapler (SS) or an RS to close remnant pancreatic parenchyma. The primary endpoint was the rate of overall PF. Secondary endpoints included severity of PF, length of hospital stay, overall morbidity, and rate of readmission for a PF within 90 days. Participants were blinded to the procedure actually carried out. Results: A total of 199 were analyzed (SS, n=99; RS, n=100). One patient who did not undergo surgery was excluded. Baseline characteristics were comparable in both groups. The rate of overall PF was higher in RS group (SS: 67.7%, RS: 83%, P=0.0121), but the rate of clinically relevant PF was similar (SS: 11.1%, RS: 14%, P=0.5387). Mean length of total hospital stay, readmission for PF, postoperative morbidity, and mortality at 90 days were similar. Conclusion: The results of this randomized clinical trial did not favor the use of RS during DP to reduce the rate of PF. View on Web

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Mobile Health Application and Hypertension Management in Rural, Middle-Aged Adults: A Quality Improvement Project

alexandrossfakianakis shared this article with you from Inoreader Mobile Health Application and Hypertension Management in Rural, Middle-Aged Adults: A Quality Improvement Project via Computers Informatics Nursing - Published Ahead-of-Print Over 29% of the adult population in the United States are diagnosed with hypertension, and rates are significantly higher in those adults who live in rural areas. Hypertension is recognized as the most prevalent comorbidity and modifiable risk factor leading to premature death. The purpose of this quality improvement project was to determine if using a mobile phone–based health application called Medisafe could enhance medication adherence and improve blood pressure control in rural-dwelling adults. A small group (N = 14) of middle-aged (45-64 years old) patients with hypertension were recruited to download the free Medisafe phone-based health application. Patients utilized the Medisafe application between their initial visit and a 4- to 6-week follow-up. At the follow-up visit, 64% (n = 9) of participants improved their level of hypertension control by blood pressure classification and improved their scores on the medication adherence questionnaire. The findings from this quality improvement project suggest the Medisafe application is useful to enhance medication adherence and blood pressure control. Future research and quality improvement initiatives are necessary to determine the broader efficacy of phone-based health applications in the rural adult population. View on Web

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Factors Considered Important by Healthcare Professionals for the Management of Using Complementary Therapy in Diabetes: A Text-Mining Analysis

alexandrossfakianakis shared this article with you from Inoreader Factors Considered Important by Healthcare Professionals for the Management of Using Complementary Therapy in Diabetes: A Text-Mining Analysis via Computers Informatics Nursing - Published Ahead-of-Print Text-mining algorithms can identify the most prevalent factors of risk-benefit assessment on the use of complementary and integrative health approaches that are found in healthcare professionals' written notes. The aims of this study were to discover the key factors of decision-making on patients' complementary and integrative health use by healthcare professionals and to build a consensus-derived decision algorithm on the benefit-risk assessment of complementary and integrative health use in diabetes. The retrospective study of an archival dataset used a text-mining method designed to extract and analyze unstructured textual data from healthcare professionals' responses. The techniques of classification, clustering, and extraction were performed with 1398 unstructured clinical notes made by healthcare professionals between 2019 and 2020. The most important factor for decision-making by healthcare professionals about complementary and integrative health use in patients with diabetes was the ingredients of the product. Other important factors were the patient's diabetes control, the undesirable effects from complementary and integrative health, evidence-based complementary and integrative health, medical laboratory data, and the product's affordability. This exploratory text-mining study provides insight into how healthcare professionals decide complementary and integrative health use for patients with diabetes after a risk-benefit assessment from clinical narrative notes. View on Web

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Long-term Traffic-related Air Pollutant Exposure and Amyotrophic Lateral Sclerosis Diagnosis in Denmark: A Bayesian Hierarchical Analysis

alexandrossfakianakis shared this article with you from Inoreader Long-term Traffic-related Air Pollutant Exposure and Amyotrophic Lateral Sclerosis Diagnosis in Denmark: A Bayesian Hierarchical Analysis via Epidemiology - Current Issue Background: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Limited evidence suggests ALS diagnosis may be associated with air pollution exposure and specifically traffic-related pollutants. Methods: In this population-based case–control study, we used 3,937 ALS cases from the Danish National Patient Register diagnosed during 1989–2013 and matched on age, sex, year of birth, and vital status to 19,333 population-based controls free of ALS at index date. We used validated predictions of elemental carbon (EC), nitrogen oxides (NOx), carbon monoxide (CO), and fine particles (PM2.5) to assign 1-, 5-, and 10-year average exposures pre-ALS diagnosis at study participants' present and historical residential addresses. We used an adjusted Bayesian hierarchical conditional logistic model to estimate individual pollutant associations and joint and average associations for traffic-related pollutants (EC, NOx, CO). Results: For a standard deviation (SD) increase in 5-year average concentrations, EC (SD = 0.42 µg/m3) had a high probability of individual association with increased odds of ALS (11.5%; 95% credible interval [CrI] = –1.0%, 25.6%; 96.3% posterior probability of positive association), with negative associations for NOx (SD = 20 µg/m3) (–4.6%; 95% CrI = 18.1%, 8.9%; 27.8% posterior probability of positive association), CO (SD = 106 µg/m3) (–3.2%; 95% CrI = 14.4%, 10.0%; 26.7% posterior probability of positive association), and a null association for nonelemental carbon fine particles (non-EC PM2.5) (SD = 2.37 µg/m3) (0.7%; 95% CrI = 9.2%, 12.4%). We found no association between ALS and joint or average traffic pollution concentrations. Conclusions: This study found high probability of a positive association between ALS diagnosis and EC concentration. Further work is needed to understand the role of traffic-related air pollution in ALS pathogenesis. View on Web

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Gestational Hypertensive Disorders and Maternal Breast Cancer Risk

alexandrossfakianakis shared this article with you from Inoreader Gestational Hypertensive Disorders and Maternal Breast Cancer Risk in a Nationwide Cohort of 40,720 Parous Women via Epidemiology - Current Issue Background: Preeclampsia and gestational hypertension are hypothesized to be associated with reduced maternal breast cancer risk, but the epidemiologic evidence is inconclusive. Our objective was to examine associations between gestational hypertensive disorders and breast cancer in a nationwide cohort of women with a family history of breast cancer. Methods: Women ages 35–74 years who had a sister previously diagnosed with breast cancer, but had never had breast cancer themselves, were enrolled in the Sister Study from 2003 to 2009 (N = 50,884). At enrollment, participants reported diagnoses of eclampsia, preeclampsia, or gestational hypertension in each pregnancy. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between history of a gestational hypertensive disorder and incident invasive breast cancer or ductal carcinoma in situ among 40,720 parous women. We used age as the time scale and adjusted for birth cohort, race–ethnicity, and reproductive, socioeconomic, and behavioral factors. We examined effect measure modification by risk factors for gestational hypertensive disease and breast cancer and assessed possible etiologic heterogeneity across tumor characteristics. Results: The prevalence of gestational hypertensive disease was 12%. During follow-up (mean = 10.9 years), 3,198 eligible women self-reported a breast cancer diagnosis. History of a gestational hypertensive disorder was not associated with breast cancer risk (HR = 1.0; 95% CI = 0.90, 1.1). We did not observe clear evidence of effect measure modification or etiologic heterogeneity. Conclusions: History of a gestational hypertensive disorder was not associated with breast cancer risk in a cohort of women with a first-degree family history of breast cancer. View on Web

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Understanding Etiologic Pathways Through Multiple Sequential Mediators: An Application in Perinatal Epidemiology

alexandrossfakianakis shared this article with you from Inoreader Understanding Etiologic Pathways Through Multiple Sequential Mediators: An Application in Perinatal Epidemiology via Epidemiology - Current Issue Background: Causal mediation analysis facilitates decomposing the total effect into a direct effect and an indirect effect that operates through an intermediate variable. Recent developments in causal mediation analysis have clarified the process of evaluating how—and to what extent—different pathways via multiple causally ordered mediators link the exposure to the outcome. Methods: Through an application of natural effect models for multiple mediators, we show how placental abruption might affect perinatal mortality using small for gestational age (SGA) birth and preterm delivery as two sequential mediators. We describe methods to disentangle the total effect into the proportions mediated via each of the sequential mediators, when evaluating natural direct and natural indirect effects. Results: Under the assumption that SGA births causally precedes preterm delivery, an analysis of 16.7 million singleton pregnancies is consistent with the hypothesis that abruption exerts powerful effects on perinatal mortality (adjusted risk ratio = 11.9; 95% confidence interval = 11.6, 12.1). The proportions of the estimated total effect mediated through SGA birth and preterm delivery were 2% and 58%, respectively. The proportion unmediated via either SGA or preterm delivery was 41%. Conclusions: Through an application of causal mediation analysis with sequential mediators, we uncovered new insights into the pathways along which abruption impacts perinatal mortality. View on Web

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Long-term Exposure to Oxidant Gases and Mortality: Effect Modification by PM2.5 Transition Metals and Oxidative Potential

alexandrossfakianakis shared this article with you from Inoreader Long-term Exposure to Oxidant Gases and Mortality: Effect Modification by PM2.5 Transition Metals and Oxidative Potential via Epidemiology - Current Issue Background: Populations are simultaneously exposed to outdoor concentrations of oxidant gases (i.e., O3 and NO2) and fine particulate air pollution (PM2.5). Since oxidative stress is thought to be an important mechanism explaining air pollution health effects, the adverse health impacts of oxidant gases may be greater in locations where PM2.5 is more capable of causing oxidative stress. Methods: We conducted a cohort study of 2 million adults in Canada between 2001 and 2016 living within 10 km of ground-level monitoring sites for outdoor PM2.5 components and oxidative potential. Ox exposures (i.e., the redox-weighted average of O3 and NO2) were estimated using a combination of chemical transport models, land use regression models, and ground-level data. Cox proportional hazards models were used to estimate associations between 3-year moving average Ox and mortality outcomes across strata of transition metals and sulfur in PM2.5 and three measures of PM2.5 oxidative potential adjusting for possible confounding factors. Results: Associations between Ox and mortality were consistently stronger in regions with elevated PM2.5 transition metal/sulfur content and oxidative potential. For example, each interquartile increase (6.27 ppb) in Ox was associated with a 14.9% (95% CI = 13.0, 16.9) increased risk of nonaccidental mortality in locations with glutathione-related oxidative potential (OPGSH) above the median whereas a 2.50% (95% CI = 0.600, 4.40) increase was observed in regions with OPGSH levels below the median (interaction P value View on Web

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