Recent Publications by CFE Educators

BACKGROUND

The volume of adrenal surgery is increasing. There has been a concern that the widespread use of axial imaging and minimally invasive approaches has led to changing indications for adrenalectomy. We reviewed trends in adrenal surgery at a single academic institution.

MATERIALS AND METHODS

This was a retrospective analysis of all patients who underwent adrenal surgery between 1993 and 2018 by the endocrine surgery service. Patient demographics, diagnosis, operative details, and perioperative complications were evaluated. Trend analysis was performed across ordered year groups (2000, 2000-2004, 2005-2009, 2010-2014, and 2015-2018).

RESULTS

We identified 732 patients who underwent 751 adrenal operations. Fifty-seven percent of the patients were women, and the median age was 51 y (range: 5-88). There was an increase in the number of procedures performed (P  0.01, trend analysis). Over time, there was a higher proportion of patients with hypertension (54.7% [2000] versus 73.6% [>2015], P  0.01), diabetes (4.7% versus 22.1%, P = 0.01), and classified as American Society of Anesthesiology class 3/4 (15.7% versus 45.7%, P  0.01). More patients had their adrenal lesion found incidentally (19.4% versus 39.3%, P  0.01), and there was a larger proportion of pheochromocytomas (25% versus 36.4%, P  0.01) and fewer nonfunctioning adenomas (7.4% versus 4.3%, P = 0.03). Median tumor size decreased from 3.5 cm to 2.9 cm (P = 0.03). Complication rates increased over time (8.3% versus 15%, P  0.01), but the overall 30-d mortality remained low (0.3%).

CONCLUSIONS

Adrenal surgery is being performed more commonly with an increasing number of incidentalomas and pheochromocytomas. Our patients have higher comorbidities with increase in complication rates over time, although perioperative mortality remains low. This highlights the importance of a thorough preoperative evaluation to identify suitable patients who may benefit from adrenalectomy.

BACKGROUND

3-Dimensional (3D) printing can be applied to virtual planning and creation of surgical guides for mandibular reconstruction. Such systems are becoming increasingly prevalent in head and neck reconstruction. However, third party access to this technology is costly and removes the opportunity to design, create, and modify the bony reconstructions, as third party technology is a black box. This series is a pilot study to document the feasibility of an in-house software tool. The objectives of this study are to describe the design of an automated in house system and assess the accuracy of this in house automated software tool for mandibular reconstruction in a simulated environment.

METHODS

Software was written to automate the preoperative planning and surgical guide creation process. In a simulation lab, Otolaryngology residents were tasked with resecting and reconstructing a simulated mandible using the 3D-printed cutting guides. A control group of residents performed resection and reconstruction using the traditional method without cutting guides. T-test analysis was performed to compare specific aspects of the final reconstructions including: change from native mandibular width and projection, segment gap distance, and reconstruction time.

RESULTS

Mandibular reconstruction was successful in all participants using the 3D printed system. The guided group performed significantly better on the measurement of change in Mandibular overlap, projection, segment gap volume. There was a non-significant trend towards better mandibular width and operative time for the guided group.

CONCLUSIONS

This study confirms functionality and feasibility of using an in house automated software for planning and creating surgical guides.

OBJECTIVE

The aim of the study was to examine whether miscarriage treatment-related morbidities and adverse events vary across facility types.

METHODS

A retrospective cohort study compared miscarriage treatment-related morbidities and adverse events across hospitals, ambulatory surgery centers (ASCs), and office-based settings. Data on women who had miscarriage treatment between 2011 and 2014 and were continuously enrolled in their insurance plan for at least 1 year before and at least 6 weeks after treatment were obtained from a large national private insurance claims database. The main outcome was miscarriage treatment-related morbidities and adverse events occurring within 6 weeks of miscarriage treatment. Secondary outcomes were major events and infections.

RESULTS

A total of 97,374 miscarriage treatments met inclusion criteria. Most (75%) were provided in hospitals, 10% ASCs, and 15% office-based settings. A total of 9.3% had miscarriage treatment-related events, 1.0% major events, and 1.5% infections. In adjusted analyses, there were fewer events in ASCs (6.5%) than office-based settings (9.4%) and hospitals (9.6%), but no significant difference between office-based settings and hospitals. There were no significant differences in major events between ASCs (0.7%) and office-based settings (0.8%), but more in hospitals (1.1%) than ASCs and office-based settings. There were fewer infections in ASCs (0.9%) than office-based settings (1.2%) and more in hospitals (1.6%) than ASCs and office-based settings. In analyses stratified by miscarriage treatment type, the difference between ASCs and office-based settings was no longer significant for miscarriages treated with procedures.

CONCLUSIONS

Although there seem to be slightly more events in hospitals than ASCs or office-based settings, findings do not support limiting miscarriage treatment to particular settings.This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BACKGROUND

Delirium is a postoperative neurological morbidity in glioblastoma whose risk factors, incidence, and prognostic implications remain undefined.

OBJECTIVE

To develop an algorithm using preoperative factors to predict postoperative delirium.

METHODS

Retrospective analysis of 554 consecutive patients (mean age = 61.5 yr; 42% female) undergoing first glioblastoma procedure at our institution 2005 to 2011.

RESULTS

Postoperative delirium occurred in 7% of patients (n = 38). Patients undergoing biopsy (10%; n = 54) did not experience delirium. In patients undergoing resection (n = 500), multivariate logistic regression identified 5 factors independently predicting postoperative delirium: age, chronic pulmonary disease, psychiatric history, bihemispheric tumors, and tumor size. We developed a score function entitled "GRAD" (Glioblastoma Risk Assessment for Delirium) to stratify patients into risk categories by assigning point(s) to each preoperative factor based on the relative magnitude of its regression coefficient. Point totals were summed for each patient: patients with 0 to 2 (n = 227) and 3 to 7 (n = 221) points were designated as low and high risk with postoperative delirium rates of 2% vs 15%, respectively (chi-square; P  .001), with the model validated using a separate patient cohort. Postoperative delirium lengthened hospital stays (P  .001), decreased likelihood of discharge home (P  .001), and was independently associated with decreased survival (4.5 vs 13.4 mo; hazard ratio = 1.9 [1.2-2.8]) in multivariate analysis.

CONCLUSION

We developed a model to predict development of postoperative delirium using 2 tumor-specific (bihemispheric tumors and tumor size) and 3 patient-specific (age, psychiatric history, and chronic pulmonary disease) factors. High-risk patients and their families should be counseled preoperatively, and this risk could be considered in the choice of biopsy vs resection, and resection patients should be monitored closely postoperatively.

PURPOSE

Cancer ascertainment using large-scale electronic health records is a challenge. Our aim was to propose and apply a structured approach for evaluating multiple candidate approaches for cancer ascertainment using colorectal cancer (CRC) ascertainment within the US Department of Veterans Affairs (VA) as a use case.

METHODS

The proposed approach for evaluating cancer ascertainment strategies includes assessment of individual strategy performance, comparison of agreement across strategies, and review of discordant diagnoses. We applied this approach to compare three strategies for CRC ascertainment within the VA: administrative claims data consisting of International Classification of Diseases, Ninth Revision (ICD9) diagnosis codes; the VA Central Cancer Registry (VACCR); and the newly accessible Oncology Domain, consisting of cases abstracted by local cancer registrars. The study sample consisted of 1,839,043 veterans with index colonoscopy performed from 1999 to 2014. Strategy-specific performance was estimated based on manual record review of 100 candidate CRC cases and 100 colonoscopy controls. Strategies were further compared using Cohen's κ and focused review of discordant CRC diagnoses.

RESULTS

A total of 92,197 individuals met at least one CRC definition. All three strategies had high sensitivity and specificity for incident CRC. However, the ICD9-based strategy demonstrated poor positive predictive value (58%). VACCR and Oncology Domain had almost perfect agreement with each other (κ, 0.87) but only moderate agreement with ICD9-based diagnoses (κ, 0.51 and 0.57, respectively). Among discordant cases reviewed, 15% of ICD9-positive but VACCR- or Oncology Domain-negative cases had incident CRC.

CONCLUSION

Evaluating novel strategies for identifying cancer requires a structured approach, including validation against manual record review, agreement among candidate strategies, and focused review of discordant findings. Without careful assessment of ascertainment methods, analyses may be subject to bias and limited in clinical impact.