Factors Associated With New Persistent Opioid Usage After Lung Resection.

BACKGROUND: Opioid dependence, misuse, and abuse in the United States continue to rise. Prior studies indicate an important risk factor for persistent opioid use includes elective surgical procedures, though the probability following thoracic procedures remains unknown. We analyzed the incidence and factors associated with new persistent opioid use after lung resection. METHODS: We evaluated data from opioid-naïve cancer patients undergoing lung resection between 2010 and 2014 using insurance claims from the Truven Health MarketScan Databases. New persistent opioid usage was defined as continued opioid prescription fills between 90 and 180 days following surgery. Variables with a p value less than 0.10 by univariate analysis were included in a multivariable logistic regression performed for risk adjustment. Multivariable results were each reported with odds ratio (OR) and confidence interval (CI). RESULTS: A total of 3,026 patients (44.8% men, 55.2% women) were identified as opioid-naïve undergoing lung resection. Mean age was 64 ± 11 years and mean postoperative length of stay was 5.2 ± 3.3 days. A total of 6.5% underwent neoadjuvant therapy, while 21.7% underwent adjuvant therapy. Among opioid-naïve patients, 14% continued to fill opioid prescriptions following lung resection. Multivariable analysis showed that age less than or equal to 64 years (OR, 1.28; 95% CI, 1.03 to 1.59; p = 0.028), male sex (OR, 1.40; 95% CI, 1.13 to 1.73; p = 0.002), postoperative length of stay (OR, 1.32; 95% CI, 1.05 to 1.65; p = 0.016), thoracotomy (OR, 1.58; 95% CI, 1.24 to 2.02; p < 0.001), and adjuvant therapy (OR, 2.19; 95% CI, 1.75 to 2.75; p < 0.001) were independent risk factors for persistent opioid usage. CONCLUSIONS: The greatest risk factors for persistent opioid use (14%) following lung resection were adjuvant therapy and thoracotomy. Future studies should focus on reducing excess prescribing, perioperative patient education, and safe opioid disposal.

Modern theory of tuberculosis: culturomic analysis of its historical origin in Europe and North America.

INTRODUCTION: An historical account of the modern theory of tuberculosis (TB) using a culturomic analysis has not been studied. OBJECTIVE: To analyze, using culturomic methods, the history of our modern understanding of TB as a unitary disease. METHODS: A culturomic analysis of millions of digitized texts was undertaken to quantify 200-year trends in usage of the modern term tuberculosis and pre-modern terms consumptive, phthisis, and scrofula, and to correlate these trends with significant historical events. RESULTS: Our understanding of TB originated with Laënnec in Paris, who proposed that the seemingly disparate wasting conditions phthisis, scrofula, and consumption were each related to the same post-mortem anatomical sign: the tubercle. The term tuberculosis was coined by Schonlein in 1829, but the term's usage remained uncommon until Villemin's 1865 discovery that TB was a communicable disease, Koch's 1882 discovery of Mycobacterium tuberculosis, and Pasteur's 1884 discovery of a vaccine against another communicable disease, smallpox. CONCLUSION: Our modern understanding of TB as a unitary disease was embraced slowly. Acceptance required new terminology describing the idea, scientific confirmation that TB is an infectious disease, and evidence suggesting that it might be prevented. An innovative idea is not enough to induce widespread acceptance. The study illustrates how culturomic methods can be used to study the adoption and diffusion of an innovation, in this case the modern theory of TB.

The relationship between antenatal provider type and maternal care in rural Ghana: a cross-sectional study.

OBJECTIVES: To investigate the influence of antenatal provider type on maternity care in rural Ghana. METHODS: An analysis of maternal care by antenatal provider type using the 2008 Ghana Demographic and Health Survey. Study population included rural Ghanaian women aged 15-49 years with report of a live birth between 2003 and 2008. Bivariate chi-square analysis was performed to examine differences in maternal report of WHO Maternal Health Interventions. Multivariate linear and logistic regression were performed to assess differences in antenatal care (ANC) scales and maternal care packages. RESULTS: Thousand and three hundred and sixty-seven rural women reported a live birth. Provider distribution was: doctor, 15.6%; midwife, 70%; community health officer (CHO), 9.1%; no provider, 5.3%. Women from lower socio-demographic categories were more likely to report midwife or CHO. Report of CHO vs. no provider was positively associated with maternal services (P < 0.01). Report of doctor or midwife vs. CHO was significantly associated with maternal services (P < 0.01). CONCLUSION: There is a positive association between antenatal provider length of training and maternal specialization and report of maternal services. Community-based providers are associated with markedly increased report of maternal services compared with no provider. Structural factors appear to underlie some differences in service provision.

An experimentally validated genome-scale metabolic reconstruction of Klebsiella pneumoniae MGH 78578, iYL1228.

Klebsiella pneumoniae is a Gram-negative bacterium of the family Enterobacteriaceae that possesses diverse metabolic capabilities: many strains are leading causes of hospital-acquired infections that are often refractory to multiple antibiotics, yet other strains are metabolically engineered and used for production of commercially valuable chemicals. To study its metabolism, we constructed a genome-scale metabolic model (iYL1228) for strain MGH 78578, experimentally determined its biomass composition, experimentally determined its ability to grow on a broad range of carbon, nitrogen, phosphorus and sulfur sources, and assessed the ability of the model to accurately simulate growth versus no growth on these substrates. The model contains 1,228 genes encoding 1,188 enzymes that catalyze 1,970 reactions and accurately simulates growth on 84% of the substrates tested. Furthermore, quantitative comparison of growth rates between the model and experimental data for nine of the substrates also showed good agreement. The genome-scale metabolic reconstruction for K. pneumoniae presented here thus provides an experimentally validated in silico platform for further studies of this important industrial and biomedical organism.