Lymph node 8a as a prognostic marker for poorer prognosis in pancreatic and periampullary carcinoma

Objectives: An investigation of patients with pancreatic carcinoma aims to identify those who will benefit from surgery. Physical examination, radiology and laboratory findings are helpful. Most prognostic markers, such as lymph node status, micro metastasis and tumour differentiation, are not preoperatively accessible. Metastatic disease in lymph node 8a (Ln8a) in patients operated for pancreatic carcinoma has been reported to be a predictor of shorter overall survival (OS). This lymph node can be assessed preoperatively through resection (possibly even with laparoscopy) and subsequent histopathology. The value of the procedure is disputed. The aim of this study is to investigate whether metastatic disease in Ln8a is a predictor of decreased OS.

Materials and methods: In patients with suspected pancreatic or periampullary carcinoma, who were operated with pancreatoduodenectomy (PD), Ln8a was separately resected and analysed with standard and immuno-histochemical methods. Patients with or without metastasis in Ln8a were compared regarding OS.

Results: Between 2008 and 2011, 122 consecutive patients were eligible and 87 were resected and had LN8a analysed separately. Sixteen patients were Ln8a?+?and 71 were Ln8a-. Patients with Ln8a?+?had a significantly reduced median OS as compared to patients with Ln8a– (0.74 (95% CI 0.26–1.26) versus 5.91 years (95% CI 2.91–), p?Conclusion: Ln8a?+?was associated with a marked reduction of OS, indicating a possible role in the future preoperative workup in patients with a suspicion of pancreatic cancer.     

Diagnostic performance and factors influencing the accuracy of EUS-FNA of pancreatic neuroendocrine neoplasms

Journal of Gastroenterology -     

Epstein–Barr virus patterns in US Burkitt lymphoma tumors from the SEER residual tissue repository during 1979–2009

Burkitt lymphoma (BL) occurs at all ages, but the patterns of Epstein–Barr virus (EBV) positivity in relation to human immunodeficiency virus (HIV), immunoprofiles and age have not been fully explored. BL tissues from residual tissue repositories, and two academic centers in the United States were examined by expert hematopathologists for morphology, immunohistochemistry, MYC rearrangement, EBV‐encoded RNA (EBER), and diagnosed according to the 2008 WHO lymphoma classification. Analysis was done using frequency tables, Chi‐squared statistics, and Student's t‐test. Of 117 cases examined, 91 were confirmed as BL. The age distribution was 26%, 15%, 19%, and 29% for 0–19, 20–34, 35–59, 60+ years, and missing in 11%. MYC rearrangement was found in 89% and EBER positivity in 29% of 82 cases with results. EBER positivity varied with age (from 13% in age group 0–19 to 55% in age group 20–34, and fell to 25% in age group 60+ years, p = 0.08); with race (56% in Blacks/Hispanics vs 21% in Whites/Asians/Pacific Islanders, p = 0.006); and by HIV status (64% in HIV positive vs 22% in HIV negative cases, p = 0.03). EBER positivity was demonstrated in about one‐third of tumors and it was strongly associated with race and HIV status, and marginally with age‐group.     

Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective

The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient’s life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.