Bodil Andersson

Incidence, management and recurrence rate of acute pancreatitis.

Background: Acute pancreatitis is a common condition that is still associated with substantial morbidity and mortality rates. Management, outcome and recurrence rate in acute pancreatitis in a clinical setting using a conservative management approach are described. Methods: A total of 1376 consecutive cases representing 2211 hospitalizations due to acute pancreatitis treated at the Dept. of Surgery, Lund University Hospital, Lund, were reviewed retrospectively. Management, outcome and recurrence rate were recorded. Results: Incidence, including recurrences, was 300 per million per year; 21% of patients had recurrent (≥2) attacks. In relapsing disease, two‐thirds of patients had the first attack within 3 months. Mortality decreased over the period studied, but overall it was 4.2%; mortality in relapsing attacks was 2.5%, related to multiple organ dysfunction (MODS) in 67% and occurring within the first week in 36%. Conclusions: Despite a conservative approach in the management of acute pancreatitis, mortality is still substantial, frequently occurs early after admission, is associated with MODS and is also seen in relapsing disease. Early cholecystectomy and bile duct clearance could decrease recurrent attacks of biliary pancreatitis.

Gastrointestinal complications after cardiac surgery

Gastrointestinal complications after cardiac surgery are often difficult to diagnose, and are associated with high morbidity and mortality rates. The aim of this study was to determine risk factors for these complications.

Perioperative Nutrition in Elective Gastrointestinal Surgery - Potential for Improvement?

Nutritional concern is one of the most important issues to be addressed in the perioperative care given to gastrointestinal patients. Not at least, malnutrition may be detrimental and relate to postoperative morbidity. Perioperative nutritional management, integrated with other modern perioperative care policies, allows the establishment of multimodal strategies with an attempt to optimize the patients’ course of disease. The present review evaluates available data regarding pre- and postoperative nutrition, nutritional supplements, including immunonutrition, and their clinical role. It is to be concluded that pre- and postoperative prolonged fasting has no routine role in management. Instead, for example, early postoperative feeding administered perorally or enterally may reduce postoperative complications and length of hospital stay. There are also indications that perioperative immunonutrition may reduce postoperative infectious complications and length of hospital stay, though further studies in this field are needed.

Predictive factors in pancreatic ductal adenocarcinoma : Role of the inflammatory response

Objective. Pancreatic ductal adenocarcinoma is a highly lethal disease and most patients are not eligible for curable resection. Estimation of prognosis is essential in order to provide the best individual treatment for patients with pancreatic adenocarcinoma. Prediction of survival by current methods is limited, therefore the objective of this study was to determine possible prognostic factors identified at the time of diagnosis. Material and methods. All 119 consecutive patients with pancreatic ductal adenocarcinoma receiving palliative treatment at the Department of Surgery, Lund University Hospital from 1999 through 2002 were reviewed retrospectively. Prognostic factors and interventions were analysed statistically. C-reactive protein (CRP) at the time of diagnosis was measured in 109 patients. Results. The overall median survival was 4.4 months. By means of a multivariate analysis it was shown that CRP (p<0.001) and tumour size (p=0.018) were independent predictors of survival. The median survival of patients with normal CRP at the time of diagnosis was 10.8 months versus 4.2 months for those with raised CRP levels (≥5 mg/l; p<0.001). Chemotherapy was the only intervention associated with a longer survival time (p<0.001 versus no chemotherapy). Conclusions. The poor prognosis for patients with pancreatic ductal adenocarcinoma was confirmed. CRP proved to be a strong independent predictor of survival. Together with previous reported factors, CRP could serve as a potential tool to determine future treatment strategies for optimal individual palliation.

Artificial neural networks in pancreatic disease.

An artificial neural network (ANNs) is a non‐linear pattern recognition technique that is rapidly gaining in popularity in medical decision‐making. This study investigated the use of ANNs for diagnostic and prognostic purposes in pancreatic disease, especially acute pancreatitis and pancreatic cancer.

Severe Acute Pancreatitis - Outcome following a Primarily Non-Surgical Regime.

Background/Aims: Severe acute pancreatitis (SAP) is associated with a high morbidity and mortality. The aim was to evaluate treatment, risk factors and outcome in SAP in a centre with a restrictive attitude to surgery. Methods: All cases of acute pancreatitis admitted 1994–2003 were analysed retrospectively. SAP was defined as organ failure and/or hospital stay >7 days together with one or more of: C-reactive protein >150 mg/l within 72 h after admission, necrosis on computed tomography and need for treatment in the intensive care unit. Results: 185 (22%) of patients with acute pancreatitis fulfilled the criteria for SAP. 175 patients were included, mean age 61 ± 17 years. Hospital stay was in median 13 days. Forty-six patients had some surgical intervention, in 14 cases directed at the pancreas (8%). Hospital mortality was 9% (n = 16), in 88% (n = 14) associated with multiple organ dysfunction and 50% (n = 8) of the deaths occurred within the first week after admission. Of the parameters registered on admission, age and hypotension (systolic blood pressure <100 mm Hg) were identified as risk factors for death. Conclusion: The present treatment regime for SAP as defined above resulted in a 9% mortality rate, with age and hypotension at admission as predictive factors for death.

Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks

Background/Aims: Artificial neural networks (ANNs) are non-linear pattern recognition techniques, which can be used as a tool in medical decision-making. The aim of this study was to construct and validate an ANN model for early prediction of the severity of acute pancreatitis (AP). Methods: Patients treated for AP from 2002 to 2005 (n = 139) and from 2007 to 2009 (n = 69) were analyzed to develop and validate the ANN model. Severe AP was defined according to the Atlanta criteria. Results: ANNs selected 6 of 23 potential risk variables as relevant for severity prediction, including duration of pain until arrival at the emergency department, creatinine, hemoglobin, alanine aminotransferase, heart rate, and white blood cell count. The discriminatory power for prediction of progression to a severe course, determined from the area under the receiver-operating characteristic curve, was 0.92 for the ANN model, 0.84 for the logistic regression model (p = 0.030), and 0.63 for the APACHE II score (p < 0.001). The numbers of correctly classified patients for a sensitivity of 50 and 75% were significantly higher for the ANN model than for logistic regression (p = 0.002) and APACHE II (p < 0.001). Conclusion: The ANN model identified 6 risk variables available at the time of admission, including duration of pain, a finding not being presented as a risk factor before. The severity classification developed proved to be superior to APACHE II.

Artificial neural networks predict survival from pancreatic cancer after radical surgery

BACKGROUND Artificial neural networks (ANNs) are nonlinear pattern recognition techniques that can be used as a tool in medical decision making. The objective of this study was to develop an ANN model for predicting survival in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS A flexible nonlinear survival model based on ANNs was designed by using clinical and histopathological data from 84 patients who underwent resection for PDAC. RESULTS Seven of 33 potential risk variables were selected to construct the ANN, including lymph node metastasis, differentiation, body mass index, age, resection margin status, peritumoral inflammation, and American Society of Anesthesiologists grade. Three variables (ie, lymph node metastasis, leukocyte count, and tumor location) were significant according to Cox regression analysis. Harrells concordance index for the ANN model was .79, and for Cox regression it was .67. CONCLUSIONS For the first time, ANNs have been used to successfully predict individual long-term survival for patients after radical surgery for PDAC.

Pancreatic cancer : Yesterday, today and tomorrow

Pancreatic cancer is one of our most lethal malignancies. Despite substantial improvements in the survival rates for other major cancer forms, pancreatic cancer survival rates have remained relatively unchanged since the 1960s. Pancreatic cancer is usually detected at an advanced stage and most treatment regimens are ineffective, contributing to the poor overall prognosis. Herein, we review the current understanding of pancreatic cancer, focusing on central aspects of disease management from radiology, surgery and pathology to oncology.

Induction with anti-thymocyte globulin in heart transplantation is associated with better long-term survival compared with basiliximab.

BACKGROUND The use of induction therapy may reduce the risk of acute rejection after heart transplantation. This study assessed the association between basiliximab (BAS) vs anti-thymocyte globulin (ATG) induction and long-term survival after heart transplantation. METHODS We used data from the International Society for Heart and Lung Transplantation Registry to examine outcomes of all adult heart transplant recipients treated with ATG or BAS as induction therapy. RESULTS We identified 9,324 transplantations performed between 2000 and 2011 whose recipients received ATG (n = 6,144) or BAS (n = 3,180). The ATG group had a higher panel reactive antibody class 1 (7.5% vs 6.1%; p < 0.018) and class 2 (6.6% vs 3.7%; p < 0.001), respectively, whereas the BAS group was less likely to have non-ischemic cardiomyopathy but more likely to be in the intensive care unit pre-transplant. One-year survival was similar for both groups, 90% vs 91% (p = 0.858). However, use of BAS was associated with poorer long-term survival compared with ATG at 5 years (77% vs 82%, p = 0.005) and at 10 years (64% vs 67%, p = 0.007). In multivariable Cox model, use of BAS remained associated with increased mortality over a median follow-up of 3.0 years (range, 0-12 years), with a hazard ratio of 1.22 (95% confidence interval, 1.09-1.37; p < 0.001). Sub-group analyses showed BAS was not independently associated with increased risk in those who received a previous transplant or in those who underwent re-transplantation due to graft failure. CONCLUSIONS In the International Society for Heart and Lung Transplantation Registry experience, use of ATG rather than BAS as induction therapy appears to be associated with better long-term survival. A prospective study is necessary to confirm these findings.