Citations

Study Design: Literature review. Objectives: A review of the literature identifying preoperative risk factors for developing surgical site infections after spine surgery and discussion of the preventive strategies to minimize risks. Methods: A review of the literature and synthesis of the data to provide an updated review on the preoperative management of surgical site infection. Results: Preoperative prevention strategies of reducing surgical site infections in spine surgery remains a challenging problem. Careful mitigation of modifiable patient comorbidities, blood glucose control, smoking, obesity, and screening for pathologic microorganisms is paramount to reduce this risk. Individualized antibiotic regimens, skin preparation, and hand hygiene also play a critical role in surgical site infection prevention. Conclusions: This review of the literature discusses the preoperative preventive strategies and risk management techniques of surgical site infections in spine surgery. Significant decreases in surgical site infections after spine surgery have been noted over the past decade due to increased awareness and implementation of the prevention strategies described in this article. However, it is important to recognize that prevention of surgical site infection requires a system-wide approach that includes the hospital system, the surgeon, and the patient. Continued efforts should focus on system-wide implementation programs including careful patient selection, individualized antibiotic treatment algorithms, identification of pathologic organisms, and preoperative decolonization programs to further prevent surgical site infections and optimize patient outcomes.

Abstract Objective We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata. Materials and Methods This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment). We defined sampling strata by cross-tabulating several socio-demographic variables obtained from EHR and augmented with census-block-level USC data. We oversampled rarer and historically underrepresented subpopulations. Results The sampling strategy, which included USC-supplemented EHR data, led to a far more diverse sample than would have been expected under random sampling (eg, 3-, 8-, 7-, and 12-fold increase in African Americans, Asians, Hispanics and those with less than a high school degree, respectively). We observed that our EHR data tended to misclassify minority races more often than majority races, and that non-majority races, Latino ethnicity, younger adult age, lower education, and urban/suburban living were each associated with lower response rates to the mailed surveys. Discussion We observed substantial enrichment from rarer subpopulations. The magnitude of the enrichment depends on the accuracy of the variables that define the sampling strata and the overall response rate. Conclusion EHR and USC data may be used to define sampling strata that in turn may be used to enrich the final study sample. This design may be of particular interest for studies of rarer and understudied populations.

Abstract To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.

e19534 Background: Our group has developed a mass spectrometry (MS) method that can identify circulating monoclonal proteins, based on their unique molecular mass signatures. Given the propensity for patients with AL amyloidosis to have MS patterns consistent with post-translational modifications (PTMs), we posed the question whether these changes might be present long before the diagnosis of AL and potentially serve as a predictor for AL in patients with an asymptomatic plasma cell dyscrasia (aPCD). Methods: We included 64 patients with AL who had a preceding aPCD and who had stored serum samples at both time-points. The mass/charge (m/z) of monoclonal LC peaks (P) was noted for each sample. Presence of a PTM was defined as the presence of ≥1 “heavy” Ps at a particular charge state. A P was considered heavy if its m/z exceeded the right sided 95% C.I. of the m/z distribution of the respective normal LC. We used 9 patients with relapsed multiple myeloma (MM) without AL as controls. Results: Prior aPCDs were MGUS (N = 33), smoldering myeloma (n = 9) and MM (N = 1). In 21 patients aPCD was not further classified with a bone marrow biopsy. The median interval between aPCD and AL diagnosis was 77 months. At aPCD diagnosis, 42 patients had a single, typical P and 21 patients (33%) had PTMS: 13 patients had a single heavy P; 5 patients had 2 P (only one of which was heavy); and 3 patients had 2 heavy peaks. No PTMs were noted in our MM controls. The m/z of all typical and heavy P observed at aPCD remained unchanged for 63 patients as they transitioned to AL, which suggests no new PTMs occurred with the exception of one patient, who had a single PTM at aPCD diagnosis, but developed 2 additional heavy P appearing at +1232 and +1392 Dalton at AL diagnosis, suggestive of new PTMs. In all but 3 aPCD, the typical P was more abundant relative to heavy P. Heavy P abundance increased in 6 patients as they transitioned from the aPCD to the AL state and exceeded that of the typical P in 3 patients, suggestive of increasing abundance of existing PTMs in these cases. Conclusions: Pre-existing PTMs are present in 1/3 of AL patients and not in MM and can be used to identify patients at risk for AL. New PTMs are uncommon, but the relative abundance can change over time.

Abstract AL is a rare plasma cell disorder, resulting from clonal bone marrow plasma cells secreting immunoglobulin light chains (LC), which aggregate abnormally into fibrils, and leads to amyloid deposits in different organs. Previous studies using LC immunopurification and MALDI-TOF/MS (MASS-FIX) on patients with known plasma cell disorders (PCDs), demonstrated that monoclonal LC from AL patients display unusually complex mass to charge spectra (m/z) for their LCs at much higher frequencies than other PCDs such as multiple myeloma. We hypothesized that these were post-translational modification, presumably glycoforms. Here, we report investigations into LC glycosylation using MASS- FIX. Serum from 212 lambda and 72 kappa AL patients were collected following Mayo Clinic IRB guidelines. LC was purified from serum using nanobody enrichment method, followed by MASS-FIX. The LCs spectra acquired on MASS-FIX were visually analyzed and were classified into different patterns. The kappa and lambda LC mass distributions with abnormal complex patterns were interrogated for the presence of glycosylation by exposure to the LC to a deglycoslylating enzyme (PNGase F) and analysis of LC mass distribution using MASS-FIX and by LC-ESI-Orbitrap. Monoclonal LCs demonstrating significantly mass shifted peak outside the normal kappa and lambda mass distribution were observed in 31% of kappa and 6% of lambda patients with AL. In order to determine if this characteristic mass shift was due to glycosylation, 16 kappa and 6 lambda LCs were treated with a PNGase F and LC spectrum were re-examined by MASS-FIX and LC-ESI-Orbitrap. The monoclonal LCs whose masses were significantly shifted beyond normal kappa and lambda mass distributions were found to shift to lower molecular weight after PNGase F treatment, confirming the presence of N-glycosylation. Moreover, an additional 5 kappa and 23 lambda samples had other complex patterns, typically with multiple additional peaks at increments of 162 Da. These samples did not shift with PNGase F suggesting either glycation or O-glycosylation. This work is significant as it confirms that N-glycosylated LCs are over represented in patients with AL in comparison to other PCDs. In patients with AL, the frequency of N-glycosylation of kappa LC clones was 5 times higher than that of lambda LC clones. More work is needed to explore the mechanism for this finding, the role of glycosylation in fibril formation, and the other complex patterns observed. In addition, MASS-FIX method used in this work is currently being validated in the clinical lab such that rapid detection of N-glycosylation in patients with monoclonal gammopathies will be possible routinely, potentially leading to earlier clinical suspicion for AL among patients with monoclonal gammopathies and hence to earlier detection of AL. Citation Format: Sanjay Kumar, Angela Dispenzieri, Surendra Dasari, Paolo Milani, Giampaolo Merlini, MeLea Hetrick, David Barnidge, Benjamin Madden, David Murray. Mass spectrometric approach to identify N-glycosylation of light chain in patients with immunoglobulin light chain amyloidosis (AL) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2693.

Background: The medial femoral condyle free vascularized bone flap is a valuable alternative to other types of vascularized bone grafts. The donor-site morbidity and functional outcomes after flap harvest have not been fully appreciated. The authors report the postoperative outcomes and analyze the impact of increasing the size of the flap on knee donor-site morbidity. Methods: A retrospective chart review of patients who underwent medial femoral condyle flap surgery between 2001 and 2012 at their institution was performed. The size of the flap was stratified, based on the largest dimension, into three groups. Demographics, outcomes, and complications related to the flap donor site were recorded and analyzed. Subsequently, functional status was assessed by administering a validated condition-specific measure. A univariate logistic regression analysis was performed, and results were analyzed. Results: A total of 75 patients were identified. Average age was 29.5 ± 15.2 years. Average follow-up time was 13 months. The overall complication rate was 18.6 percent. Paresthesia in the saphenous nerve distribution was the most common complication. Increasing the size of the flap resulted in a significant elevation in complication risk (p < 0.05). A total of 47 patients completed the Lower Extremity Functional Scale questionnaire. The average Lower Extremity Functional Scale score was 72.12 ± 14.18. Fifty-one percent (n = 24) scored 80 points, indicating a normal level of function on average. Conclusions: The medial femoral condyle flap has overall acceptable donor-site morbidity, with a good level of function postoperatively. Larger flaps are associated with a greater number of complications. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.