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Bacteremia

Bacteremia, the presence of bacteria in the bloodstream, is a serious medical condition that can lead to life-threatening complications.
Accurately identifying the best research methodologies and products is critical for advancing our understanding and treatment of this condition.
PubCompare.ai optimizes Bacteremia research by helping users navigate the vast literature, pre-prints, and patents to find the most reliable protocols.
Our AI-driven comparisons enhance reproducibility and accuracy, ensuring researchers can identify the optimal approaches and tools for their studies.
Explore the power of PubCompare.ai and take your Bacteremia research to new heights.

Most cited protocols related to «Bacteremia»

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Publication 2020
Activated Partial Thromboplastin Time Axilla Bacteremia Blood Blood Coagulation Disorders Bronchoalveolar Lavage Fluid Chinese Congenital Abnormality COVID 19 Echocardiography Electrocardiography Fever Heart Heart Injuries Hospital Administration Hypersensitivity Hypoproteinemia Kidney Injury, Acute pathogenesis Patients Pneumonia Pneumonia, Ventilator-Associated Respiratory Distress Syndrome, Acute Respiratory System Seafood Secondary Infections Septicemia Septic Shock Serum Albumin Sputum Times, Prothrombin Troponin I

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Publication 2020
Bacteremia Blood Bronchoalveolar Lavage Fluid Congenital Abnormality Creatinine Echocardiography Electrocardiography Heart Heart Injuries Influenza in Birds Inhalation Kidney Diseases Kidney Injury, Acute Oxygen pathogenesis Patients Pneumonia, Hospital Acquired Respiratory Distress Syndrome, Acute Respiratory System SARS-CoV-2 Secondary Infections Serum Shock Sputum Troponin I Urine
A SAS algorithm for the Angus implementation of severe sepsis is presented in Appendix 2. The text labels for the codes are provided in the Appendix in the original description of the implementation. 1 (link) In this implementation, there are two ways for a hospitalization to become “Angus-positive”. If explicit codes for severe sepsis (995.92) or septic shock (785.52) are found, then the hospitalization is Angus-positive. If not, all ICD-9-CM diagnosis codes are reviewed for an infection code. If an infection code is present, then the ICD-9-CM diagnoses and procedure codes are examined for codes for acute organ dysfunction. If both an infection and an acute organ dysfunction code are found, then the patient is Angus-positive. Otherwise, the hospitalization is Angus-negative.
As secondary analyses, we considered the measurement characteristics of two alternative approaches. The “explicit diagnosis implementation” identified hospitalizations with severe sepsis or septic shock (codes 995.92 or 785.52 in any position). The “Martin implementation” 31 (link) labeled as severe sepsis those hospitalizations with infection defined as any of septicemia (038), septicemic (020.0), bacteremia (790.7), disseminated fungal infection (117.9), disseminated candida infection (112.5), or disseminated fungal endocarditis (112.81) – if those hospitalizations also had an organ dysfunction code using the same dysfunction list as Angus. Alternatively, a hospitalization would be “Martin-positive” if it was coded with either of the explicit diagnosis codes.
In our analysis, we compared algorithms that used all diagnosis codes available in the internal claims records (more than 20), or those that mimicked the Medicare files UB-92 restriction to only 10 diagnoses, and found that they classified all patients in precisely the same way.
Publication 2012
Bacteremia Diagnosis Endocarditis Hospitalization Infection Mycoses Patients Septicemia Septic Shock Severe Sepsis Systemic candidiasis
A total of 360 Listeria monocytogenes and four L. innocua isolates were selected from the collections of the French National Reference Centre for Listeria and the WHO Collaborative Centre for foodborne listeriosis (Table S1). These 360 L. monocytogenes isolates were subdivided in three subsets, each being included in order to address specific questions: (i) a diversity subset of 171 isolates, which included representative isolates of the distinct L. monocytogenes serotypes, atypical strains from lineage III, isolates that caused major epidemics throughout the world, strains for which the complete genome sequence is available, 75 historical strains collected from 1924 to 1966 and belonging to H.P.R. Seeliger Listeria Culture Collection (Würzburg, Germany), isolates from the environment, food or animals, and research strains from several countries used in previous studies involving the Institut Pasteur Listeria laboratory (Table S1); (ii) 126 isolates selected from maternal-fetal cases, collected prospectively and exhaustively from 1987 to 2005 (i.e., 5 to 10 epidemiologically non-related isolates randomly selected per year), and which were included to probe the temporal dynamics of clone prevalence (‘MF chronological’ subset in Table S1); and (iii) 63 isolates from year 2000, including 25 from bacteremia, 20 from central nervous system (CNS) infection, and 18 from maternal-fetal infection, which were included to investigate the possible association of specific clones with clinical forms (subset ‘Human clinical, 2000’ in Table S1).
Isolates were identified as L. monocytogenes using API Listeria strips (BioMerieux, La Balme Les Grottes, France). Identification was confirmed and subdivided into serotypes by classical serotyping [9] , which distinguishes 13 serotypes, and multiplex PCR [41] (link), which groups L. monocytogenes isolates into four major groups (IIA, IIB, IIC et IVB) corresponding to groups of serotypes (Table S1).
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Publication 2008
Animals Bacteremia Care, Prenatal Central Nervous System Infection Clone Cells Epidemics Food Genome Homo sapiens Infection Listeria Listeria monocytogenes Listeriosis Mothers Multiplex Polymerase Chain Reaction Strains
An observational, dose-escalation study of controlled human infection using S. Typhi (Quailes strain) was performed. The challenge agent was delivered by oral ingestion of bacteria suspended in sodium bicarbonate solution (NaHCO3[aq]) using a predetermined dose-escalation strategy (Figure 1). Attack rate was defined as the proportion of participants diagnosed with infection by day 14 after challenge meeting clinical (temperature ≥38°C sustained for ≥12 hours) and/or microbiological (blood culture–confirmed S. Typhi bacteremia) endpoints (per protocol population; “typhoid diagnosis”). An independent data and safety monitoring committee reviewed participant safety and attack rate data throughout the study, in particular cumulative data gathered following the first, fifth, 10th, and 20th challenges performed. Secondary objectives included description of the human response to and the microbiological dynamics of infection.

Dose-escalation decision algorithm. Abbreviation: pts, patients.

The study was approved by Oxfordshire Research Ethics Committee A (10/H0604/53) and conducted in accordance with the principles of the International Conference of Harmonisation Good Clinical Practice guidelines.
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Publication 2014
Bacteremia Bacteria Bicarbonate, Sodium Blood Culture Conferences Diagnosis Ethics Committees, Research Homo sapiens Infection Patients Safety Strains Typhoid Fever

Most recents protocols related to «Bacteremia»

Example 7

Sepsis modeling was performed as described by Gorringe A. R., Reddin, K. M., Voet P. and Poolman J. T. (Methods Mol. Med. 66, 241 (Jan. 1, 2001)) and Johswich, K. O. et al. (Infect. Immun. 80, 2346 (Jul. 1, 2012)). Groups of 6 eight-week-old C57BL/6 mice (Charles River Laboratories) were inoculated via intraperitoneal injection with N. meningitidis strain B16B6, B16B6 Δtbpb, or B16B6 Δnmb0313 (N=2 independent experiments). To prepare inoculums, bacterial strains for infection were grown overnight on GC agar, resuspended and then grown for 4 h in 10 ml of Brain Heart Infusion (BHI) medium at 37° C. with shaking. Cultures were adjusted such that each final 500 μl inoculum contained 1×106 colony forming units and 10 mg human holo-transferrin. Mice were monitored at least every 12 h starting 48 h before infection to 48 h after infection for changes in weight, clinical symptoms and bacteremia. Mice were scored on a scale of 0-2 based on the severity of the following clinical symptoms: grooming, posture, appearance of eyes and nose, breathing, dehydration, diarrhea, unprovoked behavior, and provoked behavior. Animals reaching endpoint criteria were humanely euthanized. Animal experiments were conducted in accordance with the Animal Ethics Review Committee of the University of Toronto.

FIG. 7 shows the results obtained. FIG. 7A shows a solid phase binding assay consisting of N.men cells fixed with paraformaldehyde (PFA) or lysed with SDS and were spotted onto nitrocellulose and probed with α-TbpB antibodies. ΔSLAM/tn5 refers to the original strain of SLAM deficient cells obtained through transposon insertion. ΔSLAM describes the knockout of SLAM in Neisseria meningitidis obtained by replacing the SLAM ORF with a kanamycin resistance cassette. FIG. 7B shows a Proteinase K digestion assay showing the degradation of TbpB, LbpB and fHbp only when Nm cells are SLAM deficient (ΔSLAM). Nm cells expressing individual SLPs alone and with SLAM were incubated with proteinase K and Western blots were used to detect levels of all three SLPs levels with and without protease digestion (−/+). Flow cytometry was used to confirm that ΔSLAM cells could not display TbpB (FIG. 7C) or fHbp (FIG. 7D) on the cell surface. Antibodies against TbpB and fHbp were used to bind surface exposed SLPs followed by incubation with a α-Rabbit antibody linked to phycoerythrin to provide fluorescence. The mean fluorescent intensity (MFI) of each sample was measured using the FL2 detector of a BD FACS Calibur. The signal obtained from wildtype cells was set to 100% for comparison with signals from knockout cells. Error bars represent the standard error of the mean (SEM) from three experiments. Shown in FIG. 7E are the results of mice infections with various strains. Mice were infected via intraperitoneal injection with 1×106 CFU of wildtype N. meningitidis strain B16B6, B16B6 with a knockout of TbpB (ΔtbpB), or B16B6 with a knockout of nmb0313 Δslam and monitored for survival and disease symptoms every 12 h starting 48 hr pre-infection to 48 h post-infection and additionally monitored at 3 hr post-infection. Statistical differences in survival were assessed by a Mantel-Cox log rank test (GraphPad Prism 5) (*p<0.05, n.s. not significant). These results show a marked reduction in post-infection mortality in mice infected with the knockout of nmb0313 Δslam strain.

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Patent 2024
Agar Animals Antibodies Bacteremia Bacterial Infections Biological Assay Brain Cells Cultured Cells Dehydration Diarrhea Digestion Endopeptidase K Eye Flow Cytometry Fluorescence Genes Heart Homo sapiens Immunoglobulins Infection Injections, Intraperitoneal Jumping Genes Kanamycin Resistance Mice, Inbred C57BL Mus Neisseria Neisseria meningitidis Nitrocellulose Nose paraform Peptide Hydrolases Phycoerythrin prisma Rabbits Rivers Sepsis Strains Transferrin Virulence Western Blot
A retrospective study of 47 clinical A. caviae isolated from 46 patients with extra-intestinal infections from 2017 to 2020 at the First Medical Center of Chinese PLA General Hospital, a 3000-bed teaching hospital, was performed. Clinical data of 46 patients, including demographics, source of infection, underlying diseases, microbiological data, and respective outcomes, were retrieved from medical records. Diagnosis of bacteremia, biliary tract infection, urinary tract infection, pneumonia, and peritonitis was based on clinical, bacteriological, and radiological investigations.
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Publication 2023
Bacteremia Chinese Diagnosis Infection Intestines Patients Peritonitis Pneumonia System, Biliary Urinary Tract Infection X-Rays, Diagnostic
Bacterial infections are classified as bacteremia or site-specific infections. Multiple positive blood cultures for different organisms on the same day are considered distinct events. If bacterial isolates were a possible skin contaminant (diphtheria, bacillus or coagulase-negative staphylococci) and were isolated in only one blood culture, they were excluded unless systemic antibiotics were given. Infections were recorded if there was a microbiologic or histopathologic diagnosis, and the date of onset of infection was defined as the date on which diagnostic testing was performed. A second event was considered if repeated positive cultures and intermediate cultures were negative >21 days after the initial diagnosis. Site-specific bacterial infection was defined as evidence of bacterial infection by the culture of a normally sterile site or culture of a nonsterile site and evidence of tissue invasion. Lower respiratory tract infection was defined as the detection of a respiratory virus in bronchoalveolar lavage fluid with new or changing pulmonary infiltrates and lower respiratory tract symptoms. Invasive mycosis may be present, and fungal infection is documented. Infections caused by respiratory viruses were classified as upper respiratory tract infections if the virus was detected in nasopharyngeal/throat washes or swabs, sinuses or sputum without symptoms or clinical evidence of lower respiratory tract infection.
Publication 2023
Antibiotics Bacteremia Bacteria Bacterial Infections Blood Culture Bronchoalveolar Lavage Fluid Coagulase Diagnosis Diphtheria Infection Lacticaseibacillus casei Lung Mycoses Nasopharynx Pharynx Respiratory Rate Respiratory Tract Infections Signs and Symptoms, Respiratory Sinuses, Nasal Skin Sputum Staphylococcus Sterility, Reproductive Tissues Upper Respiratory Infections Virus
The severity of the infection is classified as mild, moderate, severe, life-threatening or fatal. Mild infections do not require treatment. Moderate infections require oral treatment only. Serious infections requiring intravenous antimicrobial therapy or associated with other clinical conditions are considered serious, except for bacteremia due to possible skin contamination and fever without systemic symptoms (classified as moderate). Life-threatening infections can be complicated by symptoms that are considered life-threatening.
Publication 2023
Administration, Oral associated conditions Bacteremia Fever Infection Microbicides Skin Therapeutics

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Publication 2023
Abscess Arm, Upper Bacteremia Cannulation Catheters Dental Occlusion Dermatitis Erythema Infection Phlebitis Sepsis Thrombophlebitis

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More about "Bacteremia"

Bacteremia, a serious medical condition characterized by the presence of bacteria in the bloodstream, can lead to life-threatening complications.
Accurately identifying the best research methodologies and products is critical for advancing our understanding and treatment of this condition.
PubCompare.ai, an innovative AI-driven platform, helps researchers navigate the vast literature, pre-prints, and patents to find the most reliable protocols for Bacteremia studies.
The QIAamp BiOstic Bacteremia DNA Kit is a widely used tool for isolating high-quality bacterial DNA from blood samples, enabling accurate detection and identification of the causative pathogens.
The Vitek 2 system, a renowned automated microbiology platform, is often employed for rapid and accurate identification and antimicrobial susceptibility testing of Bacteremia-causing bacteria.
The BiOstic Bacteremia DNA Isolation Kit is another effective solution for extracting bacterial DNA from blood, allowing researchers to conduct comprehensive molecular analyses.
Statistical software like SAS 9.4 and SPSS version 22.0 are commonly used for the analysis and interpretation of Bacteremia research data.
The BACTEC FX blood culture system and BALB/c mice models are valuable tools for Bacteremia research, facilitating the study of disease progression and the evaluation of potential treatments.
The Xen36 bioluminescent Staphylococcus aureus strain is a useful model for real-time monitoring of Bacteremia in animal studies.
The Etest, a gradient diffusion antimicrobial susceptibility testing method, and the Qubit 2.0 Fluorometer, a precise instrument for quantifying nucleic acids, are also valuable resources for Bacteremia research.
PubCompare.ai's AI-driven comparisons enhance the reproducibility and accuracy of Bacteremia studies, ensuring researchers can identify the optimal approaches and tools for their investigations.
Explore the power of PubCompare.ai and take your Bacteremia research to new heights.