1,721,195 research outputs found
Cholecystectomy for gallbladder disease in elderly aged 80 years and over.
No full textAbstract
BACKGROUND/AIMS: Patients aged 80 years and over show greater risk of complicated gallbladder diseases and associated comorbidities. The aim of the study is to evaluate the prognosis after laparoscopic or open cholecystectomy in these patients.
METHODOLOGY: 100 patients aged between 80 and 92 years (group 1) and 241 patients aged between 70 and 79 years (group 2), undergoing cholecystectomy for gallbladder disease, are the subject of the study. Types of disease and surgery and p.o. morbidity and mortality have been evaluated.
RESULTS: The patients of group 1 have shown a significant greater incidence of p.o. morbidity (20%) than group 2 (2.3%) (chi2 = 39.5; p < 0.001), regardless to the type of cholecystectomy. Endoscopic sphincterotomy for lithiasis of common biliary duct seems an important risk factor (chi2 = 7.1; p < 0.001). In group 2, the morbidity rate after laparoscopic cholecystectomy was lesser than after open surgery (X2=5.3; p < 0.02). In both groups, postoperative hospital stay was longer after open cholecystectomy and endoscopic sphincterotomy.
CONCLUSIONS: Patients aged 80 years and over, undergoing cholecystectomy, specially after endoscopic sphinterotomy., have a greater risk of p.o. morbidity and mortality than younger. Laparoscopic and open cholecystectomy seems to bear the same poor p.o. prognosis.Abstract
BACKGROUND/AIMS:
Patients aged 80 years and over show greater risk of complicated gallbladder diseases and associated comorbidities. The aim of the study is to evaluate the prognosis after laparoscopic or open cholecystectomy in these patients.
METHODOLOGY:
100 patients aged between 80 and 92 years (group 1) and 241 patients aged between 70 and 79 years (group 2), undergoing cholecystectomy for gallbladder disease, are the subject of the study. Types of disease and surgery and p.o. morbidity and mortality have been evaluated.
RESULTS:
The patients of group 1 have shown a significant greater incidence of p.o. morbidity (20%) than group 2 (2.3%) (chi2 = 39.5; p < 0.001), regardless to the type of cholecystectomy. Endoscopic sphincterotomy for lithiasis of common biliary duct seems an important risk factor (chi2 = 7.1; p < 0.001). In group 2, the morbidity rate after laparoscopic cholecystectomy was lesser than after open surgery (X2=5.3; p < 0.02). In both groups, postoperative hospital stay was longer after open cholecystectomy and endoscopic sphincterotomy.
CONCLUSIONS:
Patients aged 80 years and over, undergoing cholecystectomy, specially after endoscopic sphinterotomy., have a greater risk of p.o. morbidity and mortality than younger. Laparoscopic and open cholecystectomy seems to bear the same poor p.o. prognosis
A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
No full textIndustrial Internet of Things (IIoT) applications in Industry 4.0 collect and process Time Series (TS) originating from heterogeneous sources. Many data-driven techniques have been proposed over the years for unsupervised collective Anomaly Detection (AD) to detect anomalous TS and improve quality of service. These techniques build statistical and/or behavioral models through data-driven algorithms often based on machine and deep learning. However, these algorithms may have black-box behavior, may require too much computational effort, and may not be trustworthy. In order to address these challenges, this paper proposes and evaluates an unsupervised AD technique that pre-processes noisy and complex TS and detects anomalous patterns. Pre-processing handles TS complexity through Feature Extraction and Dimensionality Reduction based on Autoencoders (AEs), whereas anomalous patterns are classified through Process Mining (PM), which unsupervisedly captures TS patterns and compares unknown behavior to such patterns for collective AD. We apply the technique to a scale replica of an assembly plant adopted in a smart automotive factory to evaluate our technique with respect to several configurations to analyze their impact on both detection and timing performance. Our contribution improves and extends the existing state-of-the-art work in the literature regarding the application of PM to IIoT for collective AD in TS. Moreover, it compares the obtained results with a baseline approach based on AEs
Numerical simulation of the blood flow in the aortic root with a non-Newtonian fluid model
No full textImpiego di medicazione a base di carbossimetil cellulosa e alginato di calcio ( Askina Sorg ) nella gestione delle ferite perianali.
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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