scholarly journals Chromobacterium violaceumIsolated from a Wound Sepsis: A Case Study from Nepal

2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Shamshul Ansari ◽  
Pramod Paudel ◽  
Kishor Gautam ◽  
Sony Shrestha ◽  
Sangita Thapa ◽  
...  
Keyword(s):  
Septic Shock ◽  
Mortality Rate ◽  
Multiorgan Failure ◽  
Middle Finger ◽  
Chromobacterium Violaceum ◽  
Causative Organism ◽  
Wound Sepsis ◽  
First Case ◽  
Systemic Infections

Chromobacterium violaceumis a facultative anaerobic, Gram-negative rod, prevalent in tropical and subtropical regions. It enters through the skin injury and is capable of causing severe systemic infections leading to septic shock and multiorgan failure. It has been reported by few authors across the world but this is probably the first case ofChromobacterium violaceumisolated from wound sepsis from Nepal. In this study, a pus sample from the infection of a prick injury in the left middle finger was collected from the patient admitted to the intensive care unit. Bacteriological investigations of the pus sample revealed the causative organism to beChromobacterium violaceum. This case study indicates thatChromobacterium violaceumcan act as a potential cause of wound sepsis that may lead to the septic shock and if not treated timely, the mortality rate can be high as was in this study. Although this organism is very rare, the infection caused requires prompt treatment to minimize the mortality rate. Therefore, we recommend the timely diagnosis and antimicrobial therapy of this infection to combat the consequences led.

scholarly journals Fatal Chromobacterium violaceum septicemia in a South Indian adult

2012 ◽  
Vol 6 (10) ◽  
pp. 751-755 ◽  
Author(s):  
Rajiv Karthik ◽  
Padmaja Pancharatnam ◽  
Veeraraghavan Balaji
Keyword(s):  
Mortality Rate ◽  
Antibiotic Therapy ◽  
Septic Arthritis ◽  
High Mortality ◽  
South India ◽  
Chromobacterium Violaceum ◽  
Human Pathogen ◽  
Tropical Regions ◽  
First Case ◽  
South Indian

Chromobacterium violaceum is a rare human pathogen that causes potentially fatal infections especially in the tropical regions. Limited awareness about this pathogen and inappropriate antibiotic therapy are some of the factors contributing to the high mortality rate. To date there have been only eight cases reported from India of which only one is an adult. To the best of our knowledge, we report here the first case of a 40-year-old man from South India with septicemic C. Violaceum infection and septic arthritis.

scholarly journals Anasarca, Fever, Thrombocytopenia, Organomegaly, and Multiorgan Failure in a 24-Year-Old Pregnant Woman

2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Guillaume Morel ◽  
Joy Mootien ◽  
Philippe Guiot ◽  
Khaldoun Kuteifan
Keyword(s):  
Mechanical Ventilation ◽  
Pregnant Woman ◽  
Cesarean Section ◽  
Hematological Malignancies ◽  
Multiorgan Failure ◽  
Castleman Disease ◽  
Tafro Syndrome ◽  
Multicentric Castleman Disease ◽  
First Case ◽  
Systemic Infections

TAFRO syndrome is a distinct idiopathic multicentric Castleman disease characterized by the association of thrombocytopenia, anasarca, fever, reticulin fibrosis, and organomegaly. We report the first case occurring in a Caucasian pregnant woman. At 34 weeks of gestation, our patient presented with all clinical and biological symptoms compatible with a TAFRO syndrome. Tough quick cesarean section was performed as symptoms got worse with onset of multiorgan failure requiring mechanical ventilation for acute respiratory distress, continuous renal replacement, and vasopressors. Nine days after ICU admission, steroid boluses were started and allowed spectacular clinical and biological improvement. As systemic inflammatory manifestations are important, TAFRO syndrome can be mistaken with severe autoimmune diseases, systemic infections, hematological malignancies, or hemophagocytic lymphohistiocytosis.

scholarly journals Capnocytophaga canimorsusas Cause of Fatal Sepsis

2019 ◽  
Vol 2019 ◽  
pp. 1-3 ◽  
Author(s):  
Moritz Hundertmark ◽  
Tatjana Williams ◽  
Anja Vogel ◽  
Maria Moritz ◽  
Peter Bramlage ◽  
...  
Keyword(s):  
Septic Shock ◽  
Multiorgan Failure ◽  
Healthy Woman ◽  
Young Individual ◽  
Capnocytophaga Canimorsus ◽  
Dog Bites ◽  
First Case ◽  
Fatal Sepsis

A rare consequence of dog bites is the infection withCapnocytophaga canimorsus, and only a few cases have been documented. We describe a 41-year-old, formerly healthy woman who died from septic shock and multiorgan failure. It is the first case of a young individual without obvious immunosuppression.

‘The Violet Killer’—Successful Treatment of an Infant with Chromobacterium violaceum Sepsis

2021 ◽  
Vol 67 (4) ◽  
Author(s):  
Jawad M Mohammed ◽  
T M Sajana ◽  
Reshma Raj ◽  
Babu A Rachana ◽  
George Paul ◽  
...  
Keyword(s):  
Septic Shock ◽  
Soft Tissue ◽  
Mortality Rate ◽  
Chromobacterium Violaceum ◽  
Soft Tissue Infections ◽  
Unique Case ◽  
Facultative Anaerobic ◽  
Tropical Areas ◽  
Reduced Activity ◽  
Very High

Abstract Chromobacterium violaceum, a facultative anaerobic proteobacterium, is isolated from water and soil in tropical areas and has been implicated in infections like septicemia, visceral abscesses, skin and soft tissue infections, meningitis and diarrhea. Chromobacterium violaceum sepsis, a rarely reported phenomenon has a very high mortality rate. Here, we report a unique case of Chromobacterium sepsis in an infant. A 48-day-old baby boy was referred to our institution with h/o fever, loose stools and reduced activity. He was intubated and referred to us in septic shock. Radiological investigations revealed multiple abscesses in the liver, spleen and kidneys. The infant was successfully treated with trimethoprim-sulfamethoxazole and ciprofloxacin.

scholarly journals Does reactivation of cytomegalovirus contribute to severe COVID-19 disease?

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Cecilia Söderberg-Nauclér
Keyword(s):  
Septic Shock ◽  
Acute Respiratory Distress Syndrome ◽  
Mortality Rate ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
High Mortality ◽  
Hospital Care ◽  
Distress Syndrome ◽  
Multiorgan Failure ◽  
Severe Pneumonia

AbstractThe majority of people infected with SARS-CoV-2 are asymptomatic or have mild to moderate symptoms. However, for unknown reasons, about 15 % have severe pneumonia requiring hospital care and oxygen support, and about 5 % develop acute respiratory distress syndrome, septic shock, and multiorgan failure that result in a high mortality rate. The risk of severe COVID-19 is highest among those who are over 70 years of age. Why severe COVID-19 develops in some people but not others is not understood. Could some cases involve reactivation of latent cytomegalovirus (CMV)?

Scales and Units

2018 ◽  
Author(s):  
Kathryn M. de Luna
Keyword(s):  
Language Change ◽  
Historical Linguistics ◽  
Bantu Languages ◽  
The North ◽  
First Case ◽  
Linguistic Evidence ◽  
River Region ◽  
History Of ◽  
Alternative Approaches

This chapter uses two case studies to explore how historians study language movement and change through comparative historical linguistics. The first case study stands as a short chapter in the larger history of the expansion of Bantu languages across eastern, central, and southern Africa. It focuses on the expansion of proto-Kafue, ca. 950–1250, from a linguistic homeland in the middle Kafue River region to lands beyond the Lukanga swamps to the north and the Zambezi River to the south. This expansion was made possible by a dramatic reconfiguration of ties of kinship. The second case study explores linguistic evidence for ridicule along the Lozi-Botatwe frontier in the mid- to late 19th century. Significantly, the units and scales of language movement and change in precolonial periods rendered visible through comparative historical linguistics bring to our attention alternative approaches to language change and movement in contemporary Africa.

Applications of random graphs

2017 ◽  
Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts
Keyword(s):  
Social Networks ◽  
Random Graphs ◽  
Interaction Network ◽  
Power Grids ◽  
Protein Protein Interaction ◽  
Topological Features ◽  
First Case ◽  
The Stability ◽  
Protein Protein Interaction Network

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.

Investigating the potential of redundant manipulators in narrow channels

2020 ◽  
pp. 095440622096451
Author(s):  
Ashish Singla ◽  
Jyotindra Narayan ◽  
Himanshu Arora
Keyword(s):  
Case Studies ◽  
Fuzzy Inference ◽  
Redundant Manipulators ◽  
Redundancy Resolution ◽  
Inference System ◽  
Narrow Channels ◽  
First Case ◽  
Task Priority ◽  
Patient Side

In this paper, an attempt has been made to investigate the potential of redundant manipulators, while tracking trajectories in narrow channels. The behavior of redundant manipulators is important in many challenging applications like under-water welding in narrow tanks, checking the blockage in sewerage pipes, performing a laparoscopy operation etc. To demonstrate this snake-like behavior, redundancy resolution scheme is utilized using two different approaches. The first approach is based on the concept of task priority, where a given task is split and prioritize into several subtasks like singularity avoidance, obstacle avoidance, torque minimization, and position preference over orientation etc. The second approach is based on Adaptive Neuro Fuzzy Inference System (ANFIS), where the training is provided through given datasets and the results are back-propagated using augmentation of neural networks with fuzzy logics. Three case studies are considered in this work to demonstrate the redundancy resolution of serial manipulators. The first case study of 3-link manipulator is attempted with both the approaches, where the objective is to track the desired trajectory while avoiding multiple obstacles. The second case study of 7-link manipulator, tracking trajectory in a narrow channel, is investigated using the concept of task priority. The realistic application of minimum-invasive surgery (MIS) based trajectory tracking is considered as the third case study, which is attempted using ANFIS approach. The 5-link spatial redundant manipulator, also known as a patient-side manipulator being developed at CSIR-CSIO, Chandigarh is used to track the desired surgical cuts. Through the three case studies, it is well demonstrated that both the approaches are giving satisfactory results.

scholarly journals Emphysematous pyelonephritis with air bubble in the inferior vena cava

2020 ◽  
Vol 26 (1) ◽  
Author(s):  
Tiffany A. Perkins ◽  
Alberic Rogman ◽  
Murali K. Ankem
Keyword(s):  
Septic Shock ◽  
Inferior Vena Cava ◽  
Inferior Vena ◽  
Vena Cava ◽  
Rare Presentation ◽  
Emphysematous Pyelonephritis ◽  
Case Presentation ◽  
Air Bubble ◽  
First Case ◽  
The Right

Abstract Background Emphysematous pyelonephritis (EPN) with gas in the inferior vena cava (IVC) is a rare presentation and to our knowledge, this is the first case report in the urologic literature. Case presentation A 35-Year-old obese diabetic Hispanic female presented to the emergency room with a clinical picture of septic shock. Prompt computerized tomography scan revealed EPN with gas throughout the right renal parenchyma and extending to the right renal vein, IVC, and pulmonary artery. She died before surgical intervention Conclusion This case demonstrates that patients presenting with severe EPN have a high mortality risk and providers should acknowledge that septic shock, endogenous air emboli, or a combination of both could result in cardiovascular collapse and sudden death.

scholarly journals Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Markus J. Ankenbrand ◽  
Liliia Shainberg ◽  
Michael Hock ◽  
David Lohr ◽  
Laura M. Schreiber
Keyword(s):  
Neural Networks ◽  
Sensitivity Analysis ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Cardiac Mri ◽  
Magnetic Resonance Images ◽  
Model Interpretation ◽  
First Case ◽  
Segmentation Models

Abstract Background Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only achieved in the narrow tasks networks are trained on. Performance drops dramatically when data characteristics differ from the training set properties. Moreover, neural networks are commonly considered black boxes, because it is hard to understand how they make decisions and why they fail. Therefore, it is also hard to predict whether they will generalize and work well with new data. Here we present a generic method for segmentation model interpretation. Sensitivity analysis is an approach where model input is modified in a controlled manner and the effect of these modifications on the model output is evaluated. This method yields insights into the sensitivity of the model to these alterations and therefore to the importance of certain features on segmentation performance. Results We present an open-source Python library (misas), that facilitates the use of sensitivity analysis with arbitrary data and models. We show that this method is a suitable approach to answer practical questions regarding use and functionality of segmentation models. We demonstrate this in two case studies on cardiac magnetic resonance imaging. The first case study explores the suitability of a published network for use on a public dataset the network has not been trained on. The second case study demonstrates how sensitivity analysis can be used to evaluate the robustness of a newly trained model. Conclusions Sensitivity analysis is a useful tool for deep learning developers as well as users such as clinicians. It extends their toolbox, enabling and improving interpretability of segmentation models. Enhancing our understanding of neural networks through sensitivity analysis also assists in decision making. Although demonstrated only on cardiac magnetic resonance images this approach and software are much more broadly applicable.

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