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In March 2020, a national elimination strategy for coronavirus disease was introduced in New Zealand. Since then, hospitalizations for lower respiratory tract infection among infants <2 years of age and cases of respiratory syncytial or influenza virus infection have dramatically decreased. These findings indicate additional benefits of coronavirus disease control strategies.

Background Intrinsic near-infrared (NIR) autofluorescence of the parathyroid gland may improve intraoperative gland identification without the need for contrast agent injection. Compared with patients undergoing surgery for thyroid disease, identification of pathologic parathyroid tissue in patients with hyperparathyroidism is essential. This study analyzed the utility of a novel real-time autofluorescence imaging system in patients with primary hyperparathyroidism enrolled in a prospective feasibility clinical trial. Methods Data on patients undergoing surgery for primary hyperparathyroidism by two experienced endocrine surgeons were prospectively collected. Intraoperative imaging was performed with a handheld NIR device, and images were captured for analysis. The collected data included the surgeon’s confidence in parathyroid identification, both with ambient light and use of NIR imaging, as well as how the imaging affected the surgical procedure. Images were quantified by Image J software, with autofluorescence reported as mean values ± SD. Results From 2017 to 2018, 59 consecutive patients with a diagnosis of primary hyperparathyroidism underwent resection of 69 parathyroid glands. Use of NIR imaging increased the intraoperative confidence of parathyroid identification (on a scale of 0–5) from an average of 4.1 to an average of 4.4 (+0.3, p  = 0.003), all of which were confirmed pathologically. The addition of autofluorescence helped to identify the parathyroid gland in 12 patients (20%), and to rule out other soft tissue as not parathyroid in an additional 9 patients (15%). The mean autofluorescence for the parathyroid in situ (75.9 ± 21.3) was significantly greater than that for the thyroid (61.1 ± 17.4) or soft tissue (53.3 ± 19.2) ( p  < 0.001 for both). The mean absolute difference in parathyroid versus background thyroid autofluorescence was +15.2 (range, 2.4–53.1). Conclusion This is the first prospective trial to examine the utility of parathyroid autofluorescence for identifying glands exclusively in patients with parathyroid disease. Intraoperative identification and localization of parathyroid glands by real-time, NIR imaging using their intrinsic autofluorescence is feasible and may provide a useful adjunct during parathyroid surgery.

BackgroundInjury to the thoracic duct (TD) is the most common complication after a left lateral neck dissection, and it carries a high degree of morbidity. Currently, no routine diagnostic imaging is used to assist with TD identification intraoperatively. This report describes the first clinical experience with lymphangiography using indocyanine green (ICG) during lateral neck dissections.MethodsIn six patients undergoing left lateral neck dissection (levels 2–4) for either thyroid cancer or melanoma, 2.5–5 mg of ICG was injected in the dorsum of the left foot 15 min before imaging. Intraoperative imaging was performed with a hand-held near infrared (NIR) camera (Hamamatsu, PDE-Neo, Hamamatsu City, Japan).ResultsIn five patients, the TD was visualized using NIR fluorescence, with a time of 15–90 min from injection to identification. Imaging was optimized by positioning the camera at the angle of the mandible and pointing into the space below the clavicle. No adverse reactions from the ICG injection occurred, and the time required for imaging was 5–10 min. No intraoperative TD injury was identified, and no chyle leak occurred postoperatively. For the one patient in whom the TD was not identified, it is unclear whether this was related to the timing of the injection or to duct obliteration from a prior dissection.ConclusionThis is the first described application of ICG lymphangiography to identify the thoracic duct during left lateral neck dissection. Identification of TD with ICG is technically feasible, simple to perform with NIR imaging, and safe, making it a potential important adjunct for the surgeon.

Background Current recommendations for persistent or recurrent locoregional papillary thyroid cancer (PTC) include consideration of surgical resection versus active surveillance. The purpose of this study is to determine long-term outcomes after surgical resection of recurrent or persistent metastatic PTC in cervical lymph nodes after failure of initial surgery and radioactive iodine therapy using newer validated clinical outcomes measures. Methods Outcomes of 70 patients who underwent cervical lymphadenectomy ( n  = 110) from 1999 to 2013 for recurrent or persistent locoregional PTC metastases were reviewed. Measures included biochemical remission (BCR) based on Tg levels, American Thyroid Association classifications for response to treatment [biochemical incomplete response (BIR), structural incomplete response (SIR), indeterminate response (IR), and excellent response (ER)], need for reoperation, surgical complications, disease progression, and death. Results The median follow-up was 13.1 years, with only two additional reoperations since 2010, one of which had no metastasis on pathology with the other developing anaplastic thyroid cancer in background PTC. ER was achieved in 31 (44%) patients, all of whom remained in ER at time of last follow-up (median 14.1 years). There were no structural recurrences in patients with persistent BIR or IR after reoperation. Patients with SIR had stable disease, except for one who died due to anaplastic thyroid cancer. Conclusions Patients who achieved ER after reoperation had no need for further treatment. Patients with persistent detectable Tg levels after reoperation rarely developed structural recurrence. ATA outcomes can be safely used to guide treatment decisions over a decade after reoperation for PTC.

Near infrared autofluorescence (NIRAF) detection has previously demonstrated significant potential for real-time parathyroid gland identification. However, the performance of a NIRAF detection device - PTeye® - remains to be evaluated relative to a surgeon's own ability to identify parathyroid glands. Patients eligible for thyroidectomy and/or parathyroidectomy were enrolled under 6 endocrine surgeons at 3 high-volume institutions. Participating surgeons were categorized based on years of experience. All surgeons were blinded to output of PTeye® when identifying tissues. The surgeon's performance for parathyroid discrimination was then compared with PTeye®. Histology served as gold standard for excised specimens, while expert surgeon's opinion was used to validate in-situ tissues. PTeye® achieved 92.7% accuracy across 167 patients recruited. Junior surgeons (<5 years of experience) were found to have lower confidence in parathyroid identification and higher tissue misclassification rate per specimen when compared to PTeye® and senior surgeons (>10 years of experience). NIRAF detection with PTeye® can be a valuable intraoperative adjunct technology to aid in parathyroid identification for surgeons. •Identifying parathyroid glands (PGs) during neck operations can be challenging.•This study compared the surgeons' ability in identifying PGs to a device PTeye®.•PTeye® achieved 92.7% accuracy across 167 patients recruited.•Junior surgeons had higher error rate in identifying PGs than seniors and PTeye®.•PTeye® can be a useful adjunct tool to intraoperatively identify PGs in real-time.

Background There is significant demand for training in Complex General Surgical Oncology (CGSO) fellowships. Previous work has explored objective quantitative metrics of applicants that matriculated to CGSO fellowships; however, ambiguity remains concerning academic benchmarks and qualitative factors that impact matriculation. Study Design A web-based survey was sent to each ACGME/SSO-approved CGSO fellowship training program. The survey was comprised of 24 questions in various forms, including dichotomous, ranked, and five-point Likert scale questions. Results Twenty-nine of 30 program directors (97%) submitted complete survey responses, representing 64 of the 65 CGSO fellowship positions (99%) currently offered. Programs received a mean of 73 applications per cycle (range 50–125) and granted a mean of 26 interviews (range 2–45). Seventy-two percent of programs had an established benchmark for ABSITE score percentile before offering a candidate an interview, with 62% of those programs setting that benchmark above the 50 th percentile. The majority of programs also had established benchmarks for quantity of first author publications (mean: 2.3) and all publications of any authorship (mean: 4.4). An applicant’s interview was ranked as the most important factor in determining inclusion on the program’s rank list. The ability to work as part of a team, interpersonal interaction/communication abilities, and operative skills were rated as most important applicant characteristics, whereas an applicant’s personal statement was ranked as least important. Conclusions After established academic benchmarks have been met, a multitude of factors influences ranking of applicants to the CGSO fellowship, most of which are assessed at the interview.

Background While surgical resection of pancreatic adenocarcinoma provides the only chance of cure, long-term survival remains poor. Immunotherapy may improve outcomes, especially as adjuvant to local therapies. Gene-mediated cytotoxic immunotherapy (GMCI) generates a systemic anti-tumor response through local delivery of an adenoviral vector expressing the HSV-tk gene (aglatimagene besadenovec, AdV-tk) followed by anti-herpetic prodrug. GMCI has demonstrated synergy with standard of care (SOC) in other tumor types. This is the first application in pancreatic cancer. Methods Four dose levels (3 × 10 10 to 1 × 10 12 vector particles) were evaluated as adjuvant to surgery for resectable disease (Arm A) or to 5-FU chemoradiation for locally advanced disease (Arm B). Each patient received two cycles of AdV-tk + prodrug. Results Twenty-four patients completed therapy, 12 per arm, with no dose-limiting toxicities. All Arm A patients were explored, eight were resected, one was locally advanced and three had distant metastases. CD8 + T cell infiltration increased an average of 22-fold (range sixfold to 75-fold) compared with baseline ( p  = 0.0021). PD-L1 expression increased in 5/7 samples analyzed. One node-positive resected patient is alive >66 months without recurrence. Arm B RECIST response rate was 25 % with a median OS of 12 months and 1-year survival of 50 %. Patient-reported quality of life showed no evidence of deterioration. Conclusions AdV-tk can be safely combined with pancreatic cancer SOC without added toxicity. Response and survival compare favorably to expected outcomes and immune activity increased. These results support further evaluation of GMCI with more modern chemoradiation and surgery as well as PD-1/PD-L1 inhibitors in pancreatic cancer.

PurposeThe objective of this study was to investigate the prognostic impact of the biomarker serum pancreastatin in patients with metastatic neuroendocrine tumors (NETs) treated with transarterial chemoembolization (TACE).MethodsPatients with metastatic NET treated with TACE at a single institution from 2000 to 2013 were analyzed.Patient demographics, response to therapy, and long-term survival were compared with baseline pancreastatin level and changes in pancreastatin levels after TACE.ResultsA total of 188 patients underwent TACE during the study period. An initial pancreastatin level greater than 5000 pg/mL correlated with worse overall survival (OS) from time of first TACE (median OS, 58.5 vs. 22.1 months, p < 0.001). A decrease in pancreastatin level by 50% or more after TACE treatment correlated with improved OS (median OS 53.8 vs. 29.9 months, p = 0.032). Patients with carcinoid syndrome were more likely to have a subsequent increase in pancreastatin after initial drop post-TACE (78.1 vs. 55.2%, p = 0.002). Patients with an increase in pancreastatin levels after initial drop post-TACE were more likely to have liver progression on imaging (70.7 vs. 40.7%, p = 0.005) and more likely to need repeat TACE (21.1 vs. 6.7%, p = 0.009).ConclusionsFor patients with liver metastases from NET treated with TACE, pancreastatin measurement may be a useful prognostic indicator. Extreme high levels before TACE can predict poor outcomes, whereas significant drops in pancreastatin after TACE correlate with improved survival. An increase in levels after initial decrease may predict progressive liver disease requiring repeat TACE. As such, pancreastatin levels should be measured throughout the TACE treatment period.

Background Forecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospital bed requirements for elective surgery could be better planned if it were possible to foresee upcoming peaks in severe respiratory illness admissions. Forecasting models can also guide the use of intervention strategies to decrease the spread of respiratory pathogens and thus prevent local health system overload. In this study, we explore the capability of forecasting models to predict the number of hospital admissions in Auckland, New Zealand, within a three-week time horizon. Furthermore, we evaluate probabilistic forecasts and the impact on model performance when integrating laboratory data describing the circulation of respiratory viruses. Methods The dataset used for this exploration results from active hospital surveillance, in which the World Health Organization Severe Acute Respiratory Infection (SARI) case definition was consistently used. This research nurse-led surveillance has been implemented in two public hospitals in Auckland and provides a systematic laboratory testing of SARI patients for nine respiratory viruses, including influenza, respiratory syncytial virus, and rhinovirus. The forecasting strategies used comprise automatic machine learning, one of the most recent generative pre-trained transformers, and established artificial neural network algorithms capable of univariate and multivariate forecasting. Results We found that machine learning models compute more accurate forecasts in comparison to naïve seasonal models. Furthermore, we analyzed the impact of reducing the temporal resolution of forecasts, which decreased the model error of point forecasts and made probabilistic forecasting more reliable. An additional analysis that used the laboratory data revealed strong season-to-season variations in the incidence of respiratory viruses and how this correlates with total hospitalization cases. These variations could explain why it was not possible to improve forecasts by integrating this data. Conclusions Active SARI surveillance and consistent data collection over time enable these data to be used to predict hospital bed utilization. These findings show the potential of machine learning as support for informing systems for proactive hospital management.

BackgroundAdrenocortical carcinoma (ACC) is a rare but aggressive malignancy, and many prognostic factors that influence survival remain undefined. Individually, the GRAS (Grade, Resection status, Age, and Symptoms of hormone hypersecretion) parameters have demonstrated their prognostic value in ACC. This study aimed to assess the value of a cumulative GRAS score as a prognostic indicator after ACC resection.MethodsA retrospective cohort study of adult patients who underwent surgical resection for ACC between 1993 and 2014 was performed using the United States Adrenocortical Carcinoma Group (US-ACCG) database. A sum GRAS score was calculated for each patient by adding one point each when the criteria were met for tumor grade (Weiss criteria ≥ 3 or Ki67 ≥ 20%), resection status (micro- or macroscopically positive margin), age (≥ 50 years), and preoperative symptoms of hormone hypersecretion (present). Overall survival (OS) and disease-free survival (DFS) by cumulative GRAS score were analyzed by the Kaplan–Meier method and log-rank test.ResultsOf the 265 patients in the US-ACCG database, 243 (92%) had sufficient data available to calculate a cumulative GRAS score and were included in this analysis. The 265 patients comprised 23 patients (10%) with a GRAS of 0, 52 patients (21%) with a GRAS of 1, 92 patients (38%) with a GRAS of 2, 63 patients (26%) with a GRAS of 3, and 13 patients (5%) with a GRAS of 4. An increasing GRAS score was associated with shortened OS (p < 0.01) and DFS (p < 0.01) after index resection.ConclusionIn this retrospective analysis, the cumulative GRAS score effectively stratified OS and DFS after index resection for ACC. Further prospective analysis is required to validate the cumulative GRAS score as a prognostic indicator for clinical use.