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Cholangitis

Cholangitis is a medical condition characterized by inflammation of the bile ducts, which are responsible for transporting bile from the liver to the small intestine.
It can be caused by a variety of factors, including bacterial infections, autoimmune disorders, and obstruction of the bile ducts.
Symptoms of cholangitis may include abdominal pain, fever, jaundice (yellowing of the skin and eyes), and nausea.
Prompt diagnosis and treatment are crucial to prevent serious complications, such as sepsis or liver damage.
Researchers can optimize their cholangitis studies using PubCompare.ai, an AI-driven platform that helps locate relevant protocols from literature, preprints, and patents, while providing intelligent comparisons to identify the best protocols and products.
This can improve reproducibility and accuracy in cholangits research.

Most cited protocols related to «Cholangitis»

The NACSELD database comprises prospectively collected data following informed consent from patients with cirrhosis hospitalized in 18 hepatology referral centers across the USA and Canada. Patients with an infection or who subsequently develop nosocomial infections are included. The study has been approved by the respective Institutional Review Boards of the participating centers and uses a REDCap (Research Electronic Data Capture) tool that is located at Virginia Commonwealth University. REDCap is a secure, web-based application designed to support data capture for research studies, providing: 1) an intuitive interface for validated data entry; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for importing data from external sources.
Cirrhosis is diagnosed with a combination of biochemical, radiological and endoscopic findings if liver biopsy confirmation is not available. Patients who had infections but did not require hospital admission were excluded, as were patients who did not have an infection during their admission. Other exclusion criteria include immuno-compromised patients with human immunodeficiency virus (HIV) infection, prior organ transplant, and disseminated malignancies.
Once informed consent is obtained, data collection begins with patient demographic, vital signs, baseline full blood count, biochemistry, and assessment of liver and renal function. Details of the infection include antibiotic treatment as well as documentation of a second infection when applicable. Data regarding intensive care unit admissions, organ failures, liver transplantation, and length of hospital stay are also collected. Patients who are discharged alive are contacted at 30 days post-enrolment to determine survival.
We define infections according to standard criteria(4 (link)): (a) spontaneous bacteremia: positive blood cultures without a source of infection; (b) SBP: ascitic fluid polymorphonuclear cells >250/μL; (c) lower respiratory tract infections: new pulmonary infiltrate in the presence of: (i) at least one respiratory symptom (cough, sputum production, dyspnea, pleuritic pain) with (ii) at least one finding on auscultation (rales or crepitation) or one sign of infection (core body temperature >38°C or less than 36 °C, shivering or leucocyte count >10,000/mm3 or <4,000/mm3) in the absence of antibiotics; (d) Clostridium difficile Infection: diarrhea with a positive C. difficile assay; (e) bacterial entero-colitis: diarrhea or dysentery with a positive stool culture for Salmonella, Shigella, Yersinia, Campylobacter, or pathogenic E. coli; (f) soft-tissue/skin Infection: fever with cellulitis; (g) urinary tract infection (UTI): urine white blood cell >15/high power field with either positive urine gram stain or culture; (h) intra-abdominal infections: diverticulitis, appendicitis, cholangitis etc; (i) other infections not covered above, and (j) fungal infections as a separate category. Nosocomial infections were those diagnosed after 48 hours of admission while second infections were those that were diagnosed after a separate first infection had been documented.
We used standard organ failure definitions as (i) hepatic encephalopathy >grade III or IV by West Haven Criteria (ii) shock: [mean arterial pressure (MAP) < 60 mm Hg or a reduction of 40 mmHg in systolic blood pressure from baseline] despite adequate fluid resuscitation and cardiac output, (iii) need for mechanical ventilation and (iv) need for dialysis or other forms of renal replacement therapy. These simple definitions are used to ensure generalizability.
Publication 2014
Antibiotics Appendicitis Ascitic Fluid Auscultation Bacteremia Bacteria Biological Assay Biopsy Blood Culture Body Temperature Campylobacter Cardiac Output Cellulitis Cholangitis Colitis Complete Blood Count Cough Dialysis Diarrhea Diverticulitis Dysentery Dyspnea Endoscopy Escherichia coli Ethics Committees, Research Feces Fever Gram's stain Hepatic Encephalopathy HIV Infections Infection Infection, Clostridium difficile Infections, Hospital Intraabdominal Infections Kidney Leukocyte Count Leukocytes Liver Liver Cirrhosis Liver Transplantations Lung Malignant Neoplasms Mechanical Ventilation Mycoses Neutrophil Organ Transplantation Pain Pathogenicity Patients Pleurisy Renal Replacement Therapy Respiratory Tract Infections Resuscitation Salmonella Secondary Infections Shigella Shock Signs, Vital Signs and Symptoms, Respiratory Skin Soft Tissue Infection Sputum Systolic Pressure TNFSF10 protein, human Urinary Tract Infection Urine X-Rays, Diagnostic Yersinia

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Publication 2019
Abdomen Alcoholic Liver Diseases Alcoholics Alcohol induced encephalopathy Arteries Ascites Cholangitis Chronic Liver Failure Cirrhosis Cirrhosis, Biliary Diagnosis Encephalopathies Endoscopy Esophageal and Gastric Varices Esophageal Varices Fibrosis Fibrosis, Liver Gastric Varix Gastrointestinal Hemorrhage Genetic Linkage Analysis Hepatectomy Hepatic Insufficiency Hepatitis, Alcoholic Hepatocellular Carcinomas Hepatorenal Syndrome Hospitalization Hyponatremia Icterus Liver Liver Cirrhosis Liver Cirrhosis, Alcoholic Paracentesis Patients Peritonitis Portal Hypertension Primary Biliary Cholangitis Radiofrequency Ablation Rectum Sclerosis Secondary Biliary Cholangitis Shunt, Transjugular Intrahepatic Portosystemic Varices
The Taiwanese government established the nationwide and single-payer based National Health Insurance (NHI) program for all Taiwanese citizens. The National Health Research Institute (NHRI) constructed the National Health Insurance Research Database (NHIRD) comprising the claim data, registry of beneficiary, and clinic and hospital files of the insured individuals. In our study, we set up the study cohort by the Longitudinal Health Insurance Database (LHID), which was a subset of NHIRD. The ICD-9-CM (International Classification of Diseases, 9th Revision, Clinical Modification) system was utilized as the disease coding system in NHIRD. The NHRI removed the original identification number to safeguard the privacy of all the insured individuals and provided a scrambled identification number to link the claim data to each insured citizen before releasing the data for researchers.
The study was approved by the Ethics Review Board of China Medical University (CMUH104-REC2-115).
We constructed a population-based cohort study to determine whether the patients with cholangitis are more susceptible to hip fractures. All of the patients who had the admission episode because of the de novo diagnosis of cholangitis (ICD-9-CM 576.1) since January 1, 2001, to December 31, 2009, were all assessed. The subjects with cancer history (ICD-9-CM 140-208), accident indicative of high energy trauma (presence of E coding), and previous hip fracture history (ICD-9-CM 820) were all excluded.
The index date was defined as the date when the diagnosis of cholangitis was initially coded.
We selected the control subjects without the coding of cholangitis from the LHID and matched the controls to cholangitis patients by age (per 5 year), sex, the coding of osteoporosis (ICD-9-CM 733.0 and 733.1) at index date, the continuous use of oral steroid over 30 days before the index date, and year of index date by approximately 1:4 ratio. The diagnosis of osteoporosis would only be coded by the Taiwanese physician if the patient had the T score value of less than -2.5. The control subjects fulfilling the matching criteria were enrolled on the same date as the matched cholangitis patients.
The two sample t-test for continuous variables and chi-square test for categorical variables were utilized for between-group comparisons. The incidence density of the hip fracture was expressed as case per 1000 person-years. The Kaplan-Meier method was utilized to measure the cumulative incidence of hip fractures, and the log rank test was utilized to determine the significance of between-group differences. To interpret the risk of hip fracture for both cohorts, the crude and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were evaluated by utilizing the single-variable and multivariable Cox proportional hazard models. The SAS 9.4 software (SAS Institute, Cary, NC, USA) was utilized for data analysis and the R software (R Foundation for Statistical computing, Vienna, Austria) was applied to plot the incidence curves.
Publication 2018
Accidents Cholangitis Diagnosis Health Insurance Hip Fractures Malignant Neoplasms National Health Insurance National Health Programs Osteoporosis Patients Physicians Steroids Wounds and Injuries

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Publication 2018
Biopsy Cholangitis Colon Colonic Diseases Colonoscopy Crohn Disease Endoscopic Retrograde Cholangiopancreatography Endoscopy, Gastrointestinal Liver Patients

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Publication 2018
Autoimmune Chronic Hepatitis Cholangitis Ethanol Hemochromatoses, Familial Hepatitis, Chronic I-E-antigen Non-alcoholic Fatty Liver Disease Patients Primary Biliary Cholangitis RNA, immune SERPINA1 protein, human Woman

Most recents protocols related to «Cholangitis»

To provide clinicians with an individualized and easy-to-use tool for the preoperative diagnosis of the occurrence of chronic cholangitis in PBM patients, the combined model was visualized as a radiomics nomogram. A radiomics nomogram score (Nomo-score) was calculated based on the significant clinical features and the Rad-score.
Publication 2023
Cholangitis Diagnosis Patients
PBM was diagnosed preoperatively based on MRCP or CT showing convergence of the pancreatic and bile ducts outside the duodenal wall and abnormally long common channel (> 5 mm), and confirmed by intraoperative cholangiography (IOC) in all cases [5 (link), 16 (link)].
Chronic cholangitis was diagnosed based on chronic inflammation of the bile duct wall on pathological examination under local protocol. Features that were considered included hyperemia, edema, inflammatory infiltration, exfoliation of the mucous epithelium, and proliferation of fibrous tissue [17 (link)].
Publication 2023
Cholangiography Cholangitis Duct, Bile Duodenum Edema Epithelium Fibrosis Hyperemia Inflammation Mucus Pancreas Tissues Tooth Exfoliation
Two pediatric radiologists (L.ZH., with 3 years of experience in pediatric radiology; and Y.Y., with 9 years of experience in pediatric radiology) performed initial analysis of all images. They were blinded to the results of pathological diagnosis of cholangitis. The following MR imaging features of PBM were analyzed: protein plug (present or not), ascites (present or not), Todani classification of congenital biliary dilatation (CBD) (I, IVa), and Komi classification of PBM (I, II, III). Disagreements were resolved by discussion and consensus.
Publication 2023
Ascites Cholangitis Congenital Biliary Dilatation Diagnosis Proteins Radiologist X-Rays, Diagnostic
Results were expressed as numbers and percentages of patients or as medians and interquartile ranges. Categorical variables were tested using Fisher’s exact test. The Wilcoxon signed-rank test was used to assess improvements in GOOSS score. The Kruskal–Wallis test was used to evaluate GOOSS score according to cancer type. The Kaplan–Meier method was used to evaluate survival time. Factors with p < 0.10 in a univariate Cox proportional hazards model built to evaluate the power of each factor in survival prediction were investigated further using a multivariate model. ‘Post-stent cholangitis’, ‘Post-stent chemotherapy’, and ‘Stent dysfunction’ were entered into the model as time-dependent covariates. ‘Stent dysfunction’ was entered into the model with a value of 0 before and a value of 1 after stent dysfunction occurred. ‘Post-stent chemotherapy’ was entered into the model as 0 before and 1 after chemotherapy administration, and 0 after chemotherapy termination. ‘Post-stent cholangitis’ was included as 0 before and 1 after cholangitis, and 0 if additional drainage was performed. Subgroup analysis was performed for patients who developed post-stent cholangitis or received post-stent chemotherapy. All analyses were performed using the R statistical software, version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria) and EZR package for R, version 1.55.16 (link) The reporting of this study conformed to the Strengthening the Reporting of Observational Studies in Epidemiology Statement (Supplemental Table 1).17
Publication 2023
Cholangitis Drainage Factor X Malignant Neoplasms Patients Pharmacotherapy Properdin Stents
For this study, 219 consecutive patients diagnosed with MGOO due to unresectable cancer and who underwent endoscopic GDS placement at the University of Kanazawa Hospital or its 14 affiliated hospitals were enrolled between April 2010 and August 2020. Unresectable cancer diagnosis was confirmed by either pathological or typical radiological findings. Three cases of altered gastroduodenal anatomy except those due to Billroth I reconstruction were excluded from the analysis. Data on patient baseline characteristics [age, gender, cancer type, PS, GDS type and length, GDS placement location, gastric outlet obstruction scoring system (GOOSS) score, and history of chemotherapy before GDS] were collected. We also reviewed the clinical outcome after GDS by evaluating the GOOSS score, complication, cholangitis, biliary drainage, stent dysfunction, and chemotherapy initiation and termination. All patient details were de-identified.
Publication 2023
Bile Billroth I Procedure Cholangitis Diagnosis Drainage Endoscopy Gender Malignant Neoplasms Patients Pharmacotherapy Pyloric Stenosis Reconstructive Surgical Procedures Stents X-Rays, Diagnostic

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More about "Cholangitis"

Cholangitis is a medical condition characterized by inflammation of the bile ducts, which are responsible for transporting bile from the liver to the small intestine.
This condition can be caused by a variety of factors, including bacterial infections, autoimmune disorders, and obstruction of the bile ducts.
Symptoms of cholangitis may include abdominal pain, fever, jaundice (yellowing of the skin and eyes), and nausea.
Prompt diagnosis and treatment are crucial to prevent serious complications, such as sepsis or liver damage.
Researchers can optimize their cholangitis studies using PubCompare.ai, an AI-driven platform that helps locate relevant protocols from literature, preprints, and patents, while providing intelligent comparisons to identify the best protocols and products.
This can improve reproducibility and accuracy in cholangitis research.
Bile duct inflammation, also known as cholangitis, can be further classified based on its causes, such as primary sclerosing cholangitis (PSC), which is an autoimmune disorder, or ascending cholangitis, which is typically caused by bacterial infections.
Diagnostic tools like the Vitek 2 system and statistical software like SAS, Stata, and SPSS can be used to analyze data and identify risk factors associated with cholangitis.
Researchers may also explore the use of cell lines like HepG2 to study the underlying mechanisms of cholangitis and test potential treatments.
By leveraging the capabilities of PubCompare.ai, researchers can streamline their cholangitis studies, improve the quality of their research, and ultimately contribute to the development of more effective diagnostic and treatment strategies for this condition.