Introduction: The current study sought to determine the factors predictive of postoperative pressure ulcer development by analyzing extensive multicenter outcomes data from the 2016 American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. Methods: The 2016 NSQIP Participant Use File and Hip Fracture Procedure Targeted file were used to identify the risk factors for the development of postoperative pressure ulcers after hip fracture surgery in a geriatric cohort. Multivariate regressions were performed to identify preoperative comorbidities and postoperative complications that are risk factors for developing postoperative pressure ulcers. Results: Of 8,871 geriatric hip fracture patients included in the study cohort, 457 (5.15%) developed pressure ulcers. Multivariate regressions identified the following preoperative risk factors for developing a postoperative pressure ulcer (in order of decreasing relative risk): preoperative sepsis, elevated platelet count, insulin-dependent diabetes, and preexisting pressure ulcer. Multivariate regressions also identified the following postoperative complications as risk factors for developing a postoperative pressure ulcer: postoperative sepsis, postoperative pneumonia, urinary tract infection, and postoperative delirium. Discussion: The identified preoperative factors and postoperative complications should help guide quality improvement programs.

Aims The aims of this study were to evaluate the incidence of postoperatively restricted weight-bearing and its association with outcome in patients who undergo surgery for a fracture of the hip. Patients and Methods Patient aged > 60 years undergoing surgery for a hip fracture were identified in the 2016 National Surgical Quality Improvement Program (NSQIP) Hip Fracture Targeted Procedure Dataset. Analysis of the effect of restricted weight-bearing on adverse events, delirium, infection, transfusion, length of stay, return to the operating theatre, readmission and mortality within 30 days postoperatively were assessed. Multivariate regression analysis was used to adjust for confounding demographic, comorbid and procedural characteristics. Results Of the 4918 patients who met inclusion criteria, 3668 (63.53%) were allowed to weight-bear as tolerated postoperatively. Controlling for patient and procedural factors, multivariate odds of any adverse event, major adverse event, delirium, infection, transfusion, length of stay ≥ 75th percentile (six days) and mortality within 30 days were all higher in patients with weight-bearing restrictions. Notably, there were no differences for thromboembolic events, return to the operating theatre or readmission within 30 days between the groups. Conclusion Elderly patients with a fracture of the hip with postoperative weight-bearing restrictions have a significantly greater risk of developing most adverse events compared with those who are encouraged to weight-bear as tolerated. These findings emphasize the importance of immediate weight-bearing as tolerated to optimize the outcome in these frail patients; however nearly 25% of surgeons fail to meet this evidence-based guideline. Cite this article: Bone Joint J 2018;100-B:1377–84.

Study Design. Retrospective cohort study Objective. The aim of this study was to investigate how elective spine surgery patient preoperative opioid use (as determined by admission NarxCare narcotics use scores) correlated with 30-day perioperative outcomes and postoperative patient satisfaction. Summary of Background Data. The effect of preoperative narcotics usage on postoperative outcomes and patient satisfaction following spine surgery has been of question. The NarxCare platform analyzes the patients’ state Physician Drug Monitoring Program (PDMP) records to assign numerical scores that approximate a patient's overall opioid drug usage. Methods. Elective spine surgery cases performed at a single institution between October 2017 and March 2018 were evaluated. NarxCare narcotics use scores at the time of admission were assessed. Patient characteristics, as well as 30-day adverse events, readmissions, reoperations, and mortality, were abstracted from the medical record. Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey data were also abstracted when available. Cases were binned based on the following ranges of admission NarxCare scores: 0, 1 to 99, 100 to 299, 300 to 499, and 500+. Multivariate logistic regressions were performed to compare the odds of having an adverse events, readmission, reoperation, and mortality between the different narcotics groups. One-way analysis of variance analyses were performed to compare HCAHPS survey response rates and HCAHPS survey results between the different narcotics score groups. Results. In total, 346 patients met criteria for inclusion in the study (NarxScore 0: n = 74, 1–99: n = 58, 300–499: n = 117, and 500+: n = 21). Multivariate logistic regressions did not detect statistically significant differential odds of experiencing adverse events, readmission, reoperation, or mortality between the different groups of admissions narcotics scores. Analyses of variance did not detect statistically significant differences in HCAHPS survey response rates, total HCAHPS scores, or HCAHP subgroup scores between the different narcotics score groups. Conclusion. Although there are many reasons to address preoperative patient narcotic utilization, the present study did not detect perioperative outcome differences or patient satisfaction based on the narcotic use scores as stratified here. Level of Evidence: 3

Despite its relatively streamlined genome, there are important examples of regulated RNA splicing in Saccharomyces cerevisiae, such as splicing of meiotic transcripts. Like other eukaryotes, S. cerevisiae undergoes a dramatic reprogramming of gene expression during meiosis, including regulated splicing of a number of crucial meiosis-specific RNAs. Splicing of a subset of these is dependent upon the splicing activator Mer1. Here we show a crucial role for the chromatin remodeler Swi/Snf in regulation of splicing of meiotic genes and find that the complex affects meiotic splicing in two ways. First, we show that Swi/Snf regulates nutrient-dependent downregulation of ribosomal protein encoding RNAs, leading to the redistribution of spliceosomes from this abundant class of intron-containing RNAs (the ribosomal protein genes) to Mer1-regulated transcripts. We also demonstrate that Mer1 expression is dependent on Snf2, its acetylation state and histone H3 lysine 9 acetylation at the MER1 locus. Hence, Snf2 exerts systems level control of meiotic gene expression through two temporally distinct mechanisms, demonstrating that it is a key regulator of meiotic splicing in S. cerevisiae. We also reveal an evolutionarily conserved mechanism whereby the cell redirects its energy from maintaining its translational capacity to the process of meiosis.

No abstract