Citations

Objective The optimal suture selection for mesh attachment during robotic sacrocolpopexy (RSC) is currently unknown. Here, we sought to evaluate the outcomes of RSC using absorbable sutures for vaginal and sacral mesh attachment. Methods We retrospectively reviewed 132 RSC surgeries that were performed for vaginal vault prolapse in the Division of Gynecologic Surgery at our institution from February 2007 to December 2013. All cases were performed with absorbable suture (polyglactin) for vaginal and sacral mesh fixation. Sacrocolpopexy failure was defined as patients undergoing either repeat prolapse surgery or pessary use for recurrent prolapse. The durability of RSC was assessed via Kaplan-Meier method. Results The median age at surgery was 61.1 years (interquartile range [IQR], 55.6–68.2) and the median length of postoperative follow-up was 33 months (IQR, 15.7–57). The median body mass index was 26.5 kg/m2 (IQR, 24.3–29.7). During follow-up, 10 patients underwent prolapse retreatment. There were 2 apical recurrences, 4 distal anterior recurrences, 2 posterior recurrences, and, in 2 cases, the location was unknown. One apical recurrence was confirmed to be secondary to detachment of the mesh from the sacral promontory. Among those with recurrence, the median time to recurrence was 15.5 months (IQR, 4.22–35.9). Overall, the 1-year and 3-year freedom from repeat surgery rates were 96% and 93%, respectively. Conclusions With a median follow-up of 33 months, the use of absorbable suture for both vaginal and sacral attachments during RSC is effective. Further studies evaluating suture selection and mesh attachment techniques for RSC are needed.

Chemically crosslinking GOa and CNTpega followed by in situ reduction fabricated a conductive rGOa–CNTpega–OPF hydrogel that strongly stimulated neurite growth.

Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Abstract Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry–European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4. Correlated variants in 7p15.3 clustered around an enhancer at the 3′ end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10−7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7. Conclusions: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609–18. ©2016 AACR.

Abstract Little is known about the clinical presentation and outcomes associated with spinal implant infections. Here, we describe a single center's experience in a retrospective cohort of 109 individuals with spinal implant infections, including clinical, microbiological, therapeutic, and outcome data.

It is well established that traumatic brain injury (TBI) is associated with the development of psychiatric disorders. However, the impact of psychiatric disorders on TBI outcome is less well understood. We examined the outcomes of patients who experienced a traumatic subdural hemorrhage and whether a comorbid psychiatric disorder was associated with a change in outcome. A retrospective observational study was performed in the California Office of Statewide Health Planning and Development (OSHPD) and the Nationwide Inpatient Sample (NIS). Patients hospitalized for acute subdural hemorrhage were identified using International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Patients with coexisting psychiatric diagnoses were identified. Outcomes studied included mortality and adverse discharge disposition. In OSPHD, diagnoses of depression (OR = 0.64, p < 0.001), bipolar disorder (OR = 0.45, p < 0.05), and anxiety (OR = 0.37, p < 0.001) were associated with reduced mortality during hospitalization for TBI, with a trend toward psychosis (OR = 0.56, p = 0.08). Schizophrenia had no effect. Diagnoses of psychosis (OR = 2.12, p < 0.001) and schizophrenia (OR = 2.60, p < 0.001) were associated with increased adverse discharge. Depression and bipolar disorder had no effect, and anxiety was associated with reduced adverse discharge (OR = 0.73, p = 0.01). Results were confirmed using the NIS. Analysis revealed novel associations between coexisting psychiatric diagnoses and TBI outcomes, with some subgroups having decreased mortality and increased adverse discharge. Potential mechanisms include pharmacological effects of frequently prescribed psychiatric medications, the pathophysiology of individual psychiatric disorders, or under-coding of psychiatric illness in the most severely injured patients. Because pharmacological mechanisms, if validated, might lead to improved outcome in TBI patients, further studies may provide significant public health benefit.

Abstract BACKGROUND: The potential for simulation-based learning in neurosurgical training has led the Congress of Neurosurgical Surgeons to develop a series of simulation modules. The Northwestern Objective Microanastomosis Assessment Tool (NOMAT) was created as the corresponding assessment tool for the Congress of Neurosurgical Surgeons Microanastomosis Module. The face and construct validity of the NOMAT have been previously established. OBJECTIVE: To further validate the NOMAT by determining its interrater reliability (IRR) between raters of varying levels of microsurgical expertise. METHODS: The NOMAT was used to assess residents’ performance in a microanastomosis simulation module in 2 settings: Northwestern University and the Society of Neurological Surgeons 2014 Boot Camp at the University of Indiana. At Northwestern University, participants were scored by 2 experienced microsurgeons. At the University of Indiana, participants were scored by 2 postdoctoral fellows and an experienced microsurgeon. The IRR of NOMAT was estimated by computing the intraclass correlation coefficient using SPSS v22.0 (IBM, Armonk, New York). RESULTS: A total of 75 residents were assessed. At Northwestern University, 21 residents each performed microanastomosis on 2 model vessels of different sizes, one 3 mm and one 1 mm. At the University of Indiana, 54 residents performed a single microanastomosis procedure on 3-mm vessels. The intraclass correlation coefficient of the total NOMAT scores was 0.88 at Northwestern University and 0.78 at the University of Indiana. CONCLUSION: This study indicates high IRR for the NOMAT. These results suggest that the use of raters with varying levels of expertise does not compromise the precision or validity of the scale. This allows for a wider adoption of the scale and, hence, a greater potential educational impact.