Publications by authors named "Ristig M"

Purpose: Whether epidural anesthesia leads to further improvement in the postoperative course of colorectal procedures is under discussion. The aim of this study was to evaluate the effects of minimally invasive colorectal oncological interventions without epidural anesthesia (EDA).

Methods: This retrospective data analysis included the clinical data of all patients who underwent minimally invasive oncological colorectal resection at our clinic between January 2013 and April 2019.

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Purpose: Anastomotic leak (AL) following colorectal resections can be treated interventionally. However, most cases require surgical intervention. Thus, several surgical techniques are available, which intend to affect the further course positively.

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Purpose: In Germany, colorectal robot-assisted surgery (RAS) has found its way and is currently used as primary technique in colorectal resections at our clinic. We investigated whether RAS can be extensively combined with enhanced recovery after surgery (ERAS) in a large prospective patient group.

Methods: Using the DaVinci Xi surgical robot, all colorectal RAS from 09/2020 to 01/2022 were incorporated into our ERAS program.

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Background: ERAS (Enhanced Recovery After Surgery) describes a multimodal, interdisciplinary and interprofessional treatment concept that optimizes the postoperative convalescence of the patient through the use of evidence-based measures.

Goal Of The Work: The aim of this article is to examine the economic feasibility of the concept in the German DRG system.

Material And Methods: Since August 2019, patients have been treated in our clinic according to the later certified ERAS concept.

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Purpose: Placement of an epidural catheter (EC) in colorectal resections is still recommended as a valid measure to achieve a low level of pain. However, EC is associated with increased invasiveness and with an increased risk of bladder emptying disorders and a decrease in blood pressure, which all relate to delayed mobilization. Preliminary data shows that EC placement may not be necessary for laparoscopic colon resections.

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Purpose: ERAS® (Enhanced Recovery After Surgery) describes a multimodal, interdisciplinary, and interprofessional treatment concept that optimizes the postoperative convalescence of the patient through the use of evidence-based measures. Goal of the work. The aim of this article is to examine the economic feasibility of the ERAS® concept in the German DRG (diagnosis-related groups) system.

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Chronic hepatitis B virus infections are a major cause of morbidity and mortality in HIV co-infected patients. The standard of care for treating HCV co-infection has been guided by major clinical trials, but the treatment of HBV co-infection has not been as thoroughly studied and the standard of care remains largely untested. The single pill formulation of tenofovir with emtricitabine has become a standard treatment approach in HBV co-infected patients.

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Voltage-activated ion channels vary randomly between open and closed states, influenced by the membrane potential and other factors. Signal transduction is enhanced by noise in a simple ion channel model. The enhancement occurs in a finite range of signals; the range can be extended using populations of channels.

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There is increasing concern that patients with chronic HIV infection may be at increased risk of nonalcoholic fatty liver disease (NAFLD), which can evolve into nonalcoholic steatohepatitis (NASH) and cirrhosis. Multiple factors have been hypothesized to be necessary for the development and progression of this condition. Potential risk factors, which tend to accumulate in the HIV-positive population, include metabolic derangements, chronic inflammation, hepatitis coinfection, and treatment with certain nucleoside reverse transcriptase inhibitors (NRTIs).

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Active Ca2+ transport in living cells necessitates controlled supply of metabolic energy. Direct coupling between sarco/endoplasmic reticulum (ER) Ca2+ ATPases (SERCA) and intracellular energy-generation sites has been well established experimentally. On the basis of these experimental findings we propose a pump-driven model to investigate complex dynamic properties of a cell system.

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Chronic viral hepatitis has emerged as one of the leading causes of morbidity and mortality among HIV-positive patients. These individuals are at risk for aggressive chronic active hepatitis, cirrhosis, and hepatocellular carcinoma, and eventually, death. Currently available therapies for hepatitis B are limited and include interferon-alpha, lamivudine (3TC), and adefovir.

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From 1999 to 2001, the overall prevalence of resistance in the antiretroviral (ART)-naive population in St. Louis, Missouri, was 17%. We sought to determine if resistance testing in ART-naive HIV-positive pregnant women identified resistant mutations, which would modify our initial choice of therapy.

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A significant proportion of human immunodeficiency virus (HIV) infected patients are coinfected with hepatitis B virus (HBV). Currently available treatments for chronic hepatitis B (interferon [IFN]-alpha and lamivudine [3TC]) have limited long-term utility because of side effects or of the development of resistance. Tenofovir disoproxil fumarate (TDF) is a nucleotide analog with excellent activity in vitro against HBV, which is also active against 3TC-resistant HBV variants.

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Background: Transmission of drug-resistant virus in HIV-1 infected individuals is well documented, particularly in patients with primary infection. Prevalence in chronically infected antiretroviral-naïve patients is reportedly low. Routine genotyping in this population is not recommended.

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Higher-order probabilistic perceptrons as Bayesian inference engines.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics

May 1999

An explicit structural connection is established between the Bayes optimal classifier operating on K binary input variables and a corresponding two-layer perceptron having normalized output activities and couplings from input to output units of all orders up to K. With suitable modification of connection weights and biases, such a higher-order probabilistic perceptron should in principle be able to learn the statistics of the classification problem and match the a posteriori probabilities given by Bayes optimal inference. Specific training algorithms are developed that allow this goal to be approximated in a controlled variational sense.

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