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Ascites

Ascites is the abnormal accumulation of fluid within the abdominal cavity, often associated with liver disease, heart failure, or cancer.
This condition can cause abdominal distension, shortness of breath, and other symptoms.
Understainding the most effective and reproducible approaches for managing Ascites is crucial for clinicians and researchers.
PubCompare.ai, an AI-driven platform, can help optimize your Ascites research by locating and comparing protocols from scientific literatutre, preprints, and patents.
Leveraging machine learning, PubCompare.ai provides insightful comparisons to guide you towards the best protocols and products for your Ascites study, acheiving enhanced reproducibility and accelerating your research.

Most cited protocols related to «Ascites»

We implemented an R package, immunedeconv, that provides a unified interface to all seven deconvolution methods compared in this paper. The CIBERSORT R source code was obtained from their website on 2018-03-26. The xCell, EPIC, MCP-counter, TIMER and quanTIseq source codes were obtained from GitHub from the following commits: dviraran/xCell@870ddc39, GfellerLab/EPIC@e5ae8803, ebecht/MCPcounter@e7c379b4, hanfeisun/TIMER@a030bac73, FFinotello/quanTIseq@ee9f4036.
We ran CIBERSORT with disabled quantile normalization, as recommended on their website for RNA-seq data. While quanTIseq provides an entire pipeline, starting with read-mapping and estimation of gene expression, we only ran the last part of that pipeline, which estimates the immune cell fractions from gene expression data. We ran TIMER with ‘OV’ on ovarian cancer ascites samples and with ‘SKCM’ on melanoma samples. We ran quanTIseq with the option tumor = TRUE on all tumor samples and tumor = FALSE on the PBMC samples. We ran EPIC with the TRef signature set on all tumor samples and with BRef on the PBMC samples. We ran xCell with the cell.types.use parameter to avoid overcompensation by the spillover correction. For simulated tumor data, cell.types.use was set to B, CAF, DC, Endo, Mac/Mono, NK, T CD4+ n.r., T CD8+, T reg. For the validation datasets, it was set to B, DC, Mono, NK, T CD4+, T CD8+, T. We disabled the mRNA scaling options of quanTIseq and EPIC for the single cell simulation benchmark using the mRNAscale and mRNA_cell options, respectively. Notably, this only has an effect on the absolute values, but not on the correlations used to compare all methods. For each of the datasets (simulated, Hoek, Schelker, Racle), we submitted all samples in a single run.
Publication 2019
Ascites Cells Endometriosis Gene Expression Melanoma Neoplasms Ovarian Cancer RNA, Messenger RNA-Seq
To validate the sensitivity of the ICD-9 codes studied here, we examined a cohort of 285 patients who had been prospectively determined to have cirrhosis 11 . These patients were an independent convenience sample of those admitted to an Internal Medicine service at PHHS between January 2008 and December 2010. Cirrhosis had been diagnosed by independent, prospective review of each patient’s medical record at the time of admission. Cirrhosis was verified by: a) the presence of histological stage 4 fibrosis or b) a cirrhotic appearing liver in combination with signs of portal hypertension on abdominal imaging, clinical evidence of portal hypertension on admission (e.g. ascites, esophageal or gastric varices) or a complication of cirrhosis (e.g. hepatic encephalopathy or hepatocellular cancer).
To validate the negative predictive value of the ICD-9 codes, we identified 116 patients with liver disease but without any ICD-9 codes for cirrhosis. Patients with liver disease were identified using ICD-9 codes for hepatitis C, hepatitis B, and alcohol abuse. Medical charts were reviewed to determine if patients had underlying cirrhosis, as described above.
Publication 2012
Abdomen Abuse, Alcohol Ascites Cancer of Liver Fibrosis Gastric Varix Hepatic Encephalopathy Hepatitis B Hepatitis C virus Hypersensitivity Liver Liver Cirrhosis Liver Diseases Patients Portal Hypertension
Chronic DILI is defined at 6 months after DILI onset as one of the following: (i) for subjects with normal or unknown baseline liver biochemistries, a serum AST, ALT, alkaline phosphatase, INR or total bilirubin that is persistently elevated on two separate occasions; (ii) for liver DILI subjects, a serum AST, ALT, alkaline phosphatase, INR or total bilirubin level that exceeds 1.25 times the baseline value on two separate occasions; (iii) any evidence of portal hypertension such as ascites on imaging, varices on upper endoscopy or clinical evidence of hepatic encephalopathy; (iv) any histological evidence of persistent liver injury at least 6 months after DILI onset; or (v) any radiological evidence of chronic liver disease such as ascites, hepatomegaly, nodular liver or intra-abdominal varices. Subjects with pre-existing chronic HBV or HCV infection, liver transplant recipients since the baseline visit and patients with cirrhosis or clinical evidence of portal hypertension before starting the suspect medication are excluded from the chronic DILI protocol.
Subjects with chronic DILI are seen at 12 and 24 months after the baseline visit wherein incremental medical history, medication use, laboratory and imaging studies and questionnaires are completed. A final written narrative is also generated by the site investigator summarizing the course of the DILI episode. For subjects who die during follow-up, a death narrative recording whether the death was attributable to a liver or non-liver related cause is generated by the site investigator for review by the causality committee.
Publication 2009
Abdominal Cavity Alkaline Phosphatase Ascites Bilirubin Endoscopy, Gastrointestinal Hepatic Encephalopathy Hepatitis C Injuries Liver Liver Cirrhosis Liver Diseases Liver Transplantations Patients Pharmaceutical Preparations Portal Hypertension Serum Transplant Recipients Varices Vision X-Rays, Diagnostic
This study included patients enrolled in the Functional Assessment in Liver Transplantation (FrAILT) Study from March 2012 until February 2016. The FrAILT Study, initiated in July 2012, is an ongoing study of adults (≥18 years) with cirrhosis who are listed for liver transplantation at the University of California, San Francisco (UCSF) and are seen in the outpatient UCSF Transplant Hepatology clinic. To ensure an adequate number of events during follow-up, we prioritized consecutive recruitment of all patients with a laboratory MELD score ≥12. In September 2013, we relaxed our recruitment criteria to include all patients 60 years and older, regardless of laboratory MELD score, given the conceptual association between frailty and advancing age. Patients were excluded if they were listed with MELD exception points, as these patients have a trajectory to liver transplantation that is independent of hepatic decompensation. While national liver allocation changed in January 2016 to be based on MELDNa rather than MELD, we maintained study inclusion criteria as MELD for consistency. Also excluded were those with severe hepatic encephalopathy (n=8), as defined by the time to complete a Numbers Connection Test6 (link) of >120 seconds, as this may impair the patient’s ability to provide informed consent and complete tests of physical function. Of those who met inclusion criteria, 97% enrolled in the FrAILT Study.2 (link),5 (link) Four subjects who refused to complete all study procedures (i.e., assessments of frailty) were excluded from the analyses.
At enrollment, all patients underwent the tests of physical frailty that have been commonly utilized in the geriatric literature (Table 1). These measures included four performance-based tests (gait speed, grip strength, chair stands, and balance) and five self-reported tests (unintentional weight loss, exhaustion, physical activity, activities of daily living (ADL), and instrumental ADLs. All assessments were performed by one of two study personnel specifically trained at administering these study procedures in the same order and same manner for each study subject. On the same day as the clinic visit, the patient’s hepatologist was asked to subjectively rate his or her patient’s health using the following question:

“We are interested in your general impression about your patient’s overall health, as compared to other patients with underlying liver disease. How would you rate this patient’s overall health today? Excellent (0), very good (1), good (2), fair (3), poor (4), or very poor (5)”.

This rating was collected solely for the purposes of providing information regarding construct validity of the frailty measures. We have previously demonstrated that this subjective clinician assessment can identify liver transplant candidates at high risk for waitlist mortality.7 (link)At the time of enrollment, demographic data were extracted from the clinic visit note from the same day as the physical frailty testing. Patients were classified as having hypertension or diabetes if listed in the past medical history or taking a medication to manage hypertension or diabetes. Ascites was ascertained from the physical examination or mention of ascites in the management plan. Laboratory data within 3 months of the frailty assessment were collected from the electronic health record. Candidate prognostic indicators were recorded in blind with respect to the primary endpoint. All patients were followed prospectively until their terminal waitlist event (e.g., death/delisting, liver transplantation) or, for those who had not experienced a terminal waitlist event, until February 2016. “Delisting for being too sick for liver transplant” was decided by consensus among the liver transplant team members if there was concern that an individual would not achieve acceptable outcomes after liver transplantation due to medical co-morbidities or current medical acuity. This decision was made independently of the frailty assessments performed for the study, as the results from the study assessments were not made available to the clinical care team. Outcomes (e.g., death, delisting, transplant) were ascertained quarterly from UNet℠, the official online database for the United Network for Organ Sharing (UNOS). Per UNOS requirements, outcomes must be recorded into UNet℠ within 24 hours of the outcome and therefore, is a reliable source of information about the patients’ current waitlist status.
Publication 2017
Adult Ascites Blindness Clinic Visits Diabetes Mellitus Hepatic Encephalopathy Hepatologists High Blood Pressures Liver Liver Cirrhosis Liver Diseases Liver Transplantations Neoplasm Metastasis Outpatients Patients Pharmaceutical Preparations Physical Examination Transplantation Vision

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Publication 2012
Abdomen Alleles Animals Anophthalmia with pulmonary hypoplasia Ascites Carcinoma Cells Ceruletide Dehydration Dexamethasone Disease Progression fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether Hypertrophy Mice, Inbred NOD Mice, Laboratory Neoplasms Pancreas Pancreatitis Pathologists PDX1 protein, human SCID Mice Strains Sulfoxide, Dimethyl Transplantation

Most recents protocols related to «Ascites»

Clinical isolates were obtained from patients with A. caviae extra-intestinal infections. The clinical samples of sputum and urine were plated on the blood agar, and then cultured at 37°C for 24 h to obtain the single colony. Blood, ascites, and bile were inoculated into BACTEC culture bottles using the BACT/ALERT 3D system (BioMerieux, Lyon, France). The suspicious Gram-negative bacteria were characterized by positive oxidase test, D-glucose fermentation, motility test, absence of growth in 6.5% sodium chloride, resistance to the vibriostatic agent O/129 (150 ug), and then identified using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF/MS) (Bruker, Bremen, Germany). Single colonies were mixed with matrix solution, dried completely, and then MALDI-TOF/MS was tested according to the manufacturer’s protocols. Results were evaluated using an identification database and exported for local preservation and statistical analysis. An appraisal credibility score of > 95% was considered reliable (Jamal et al., 2014 (link)). Final species identification was confirmed by WGS. A. caviae isolates were stored in 20% glycerol at -70°C for subsequent studies.
Publication 2023
Agar Ascites Bile Biologic Preservation Blood Fermentation Glucose Glycerin Gram Negative Bacteria Infection Intestines Motility, Cell O 129 Oxidases Patients Sodium Chloride Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Sputum Urine
The study was a concurrent cohort study, including all the BAT patients who presented to the emergency room of El Demerdash Hospital. It is a quaternary hospital, which is the surgical hospital of Ain Shams University Hospitals, Cairo, Egypt. On average, it has more than 7,000 annual emergency room visits for diagnoses related to trauma [21 ]. It has around 15,500 emergency admissions yearly, more than 2,500 of them are trauma patients, and about 800 patients are discharged within 24 hours after being stabilized and investigated. The study period was between November 2018 and October 2019. Included patients were those who presented within 24 hours after the trauma and with a Glasgow Coma Scale score greater than 8 to ensure a reliable examination, and were assessed by FAST. Exclusion criteria were as follows: BAT patients discharged without a CT scan, patients with a prehospital urinary catheterization, patients with a known history of bleeding disorders, patients with liver cirrhosis or a known history of ascites, and those with urinary diversion.
All patients underwent the usual pathway of trauma patients adopted by the hospital, which included history taking, examination (primary and secondary surveys), trauma laboratory studies, and radiologic studies, which included a FAST and an abdominopelvic CT scan. The FAST was performed for all patients by a well-trained radiology specialist registrar. The presence of hematuria was tested in the urine samples using a dipstick test (Medi-Test Combi 11, MACHEREY-NAGEL GmbH & Co. KG, Düren, Germany).
Patients were subdivided into two groups according to the findings of the CT scan. The workflow of the patients is shown in Figure 1.
Ethical approvals
The study was approved by both the Research Ethics Committee (REC), General Surgery Department, Ain Shams University (IRB: 00006379), and the University of Maryland, Baltimore (UMB) Institutional Review Board (IRB), and it followed the tenets of the Declaration of Helsinki.
Operational definitions
“Road traffic crashes (RTC)” are all accidents related to moving vehicles, the patient may be the drivers, vehicle passengers, or pedestrians. “Falling from a height” is falling from one or more story heights, i.e., more than three meters. “Falling” is falling from less than one story height, like slips, stumbles, or falling down stairs.
Statistical analysis
The collected data were coded, tabulated, and statistically analyzed using IBM SPSS Statistics software version 22.0 (IBM Corp., Armonk, NY).
The descriptive statistics were done for the quantitative data as mean ± SD, and as number and percentage for the qualitative data. The inferential analyses were done for the quantitative variables using the independent t-test; while for the qualitative data, the inferential analyses for the independent variables were done using the chi-square test for differences between proportions and the Fisher’s exact test for the variables with small expected numbers. A p-value less than 0.05 was considered to be statistically significant, otherwise, it is non-significant.
Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.
Publication 2023
Accidents Ascites Blood Coagulation Disorders Diagnosis Emergencies Ethics Committees, Research Hematuria Liver Cirrhosis Patients Pedestrians salicylhydroxamic acid Traffic Crashes Urinalysis Urinary Catheterization Urinary Diversion Wounds and Injuries X-Ray Computed Tomography X-Rays, Diagnostic
Single-cell suspensions of splenocytes from CAG-EGFP mice were prepared by homogenization of the spleen by using the frosted ends of the glass slides, followed by the filtration through 70-μm cell strainer. 5 × 107 cells of splenocytes were injected i.v. or i.p., and peritoneal exudates or spleens were harvested after 24 h injection, respectively.
Publication 2023
Ascites Cells Filtration Mus
Tissues were separated, minced, and incubated in PBS containing 0.2 U/ml of Liberase TM (Roche) and 20 μg/ml DNase I (Roche) in the presence of calcium and magnesium. After digestion, the suspension was further mechanically disrupted by pipetting and filtered through 70-μm cell strainer. Peritoneal exudate cells were harvested by injecting 8 ml of PBS containing 10% fetal bovine serum and 2 mM EDTA into peritoneal cavity. Single-cell suspensions were preincubated with antibody against CD16/32 to block FcγRII/III receptors and stained on ice for 10 min with antibodies conjugated with fluorochrome. Flow cytometry was performed on an LSRFortessa (BD Biosciences), and aldehyde dehydrogenase activity was determined by ALDEFLUOR (StemCell Technologies).
Publication 2023
Antibodies Ascites Calcium Cardiac Arrest CD32 Antigens Cells Dehydrogenase, Aldehyde Deoxyribonucleases Digestion Edetic Acid Fetal Bovine Serum Flow Cytometry Fluorescent Dyes Immunoglobulins Liberase Magnesium Peritoneal Cavity Stem Cells Tissues
We enrolled 202 consecutive patients with cirrhosis who attended the Jikei University School of Medicine and Fuji City General Hospital between February 2017 and March 2021. This study cohort included 192 patients analyzed in our previous report28 (link). Cirrhosis was diagnosed on the basis of laboratory tests and radiological imaging findings, including the presence of esophageal/gastric varices and ascites, and liver deformation and surface irregularities. Liver functional reserve was assessed according to the Child–Pugh classification and modified albumin-bilirubin (mALBI) grade30 (link),31 (link). The ALBI score was calculated using the following formula: ALBI score = (log 10 bilirubin [mg/L] × 17.1 × 0.66) + (albumin [g/dL] × 10 × − 0.085). The mALBI grading system classifies individuals into the following four groups: Grade 1, ≤ − 2.60; Grade 2a, > − 2.60 to − 2.27 ≤ ; Grade 2b, − 2.27 > to ≤ − 1.39; and Grade 3, > − 1.39, with Grade 3 being the most advanced liver disease31 (link). Serum total bilirubin, albumin, estimated glomerular filtration rate (eGFR), prothrombin time (PT), zinc, branched-chain amino acid (BCAA), and Mac-2 binding protein glycosylation isomer (M2BPGi) were measured using standard laboratory methods. This study complied with the 2013 Declaration of Helsinki and was approved by the Ethics Committee of the Jikei University School of Medicine (approval no. 28-196) and Fuji City General Hospital (approval no. 156). Written informed consent was obtained from all the participants.
Publication 2023
Albumins Amino Acids, Branched-Chain Ascites Bilirubin Child Esophageal and Gastric Varices Ethics Committees Glomerular Filtration Rate Isomerism LGALS3BP protein, human Liver Liver Cirrhosis Patients Pharmaceutical Preparations Protein Glycosylation Radiography Serum Times, Prothrombin Zinc

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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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FibroScan is a non-invasive diagnostic device that uses vibration-controlled transient elastography (VCTE) technology to measure liver stiffness. The device transmits a mild vibration through the skin and measures the velocity of the resulting shear wave, which is directly related to the stiffness of the liver tissue. This information can be used to assess the degree of liver fibrosis.
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The FACSCanto II is a flow cytometer instrument designed for multi-parameter analysis of single cells. It features a solid-state diode laser and up to four fluorescence detectors for simultaneous measurement of multiple cellular parameters.

More about "Ascites"

Ascites, the abnormal accumulation of fluid within the abdominal cavity, is a common condition often associated with liver disease, heart failure, or cancer.
This buildup of fluid can lead to abdominal distension, shortness of breath, and other troubling symptoms.
Understanding the most effective and reproducible approaches for managing ascites is crucial for both clinicians and researchers.
PubCompare.ai, an innovative AI-driven platform, offers a powerful solution to optimize your ascites research.
This cutting-edge tool can help you locate and compare protocols from scientific literature, preprints, and patents, enabling you to identify the most effective and reliable strategies for your studies.
Leveraging advanced machine learning algorithms, PubCompare.ai provides insightful comparisons that can guide you towards the best protocols and products for your ascites research.
This can lead to enhanced reproducibility and accelerate the progress of your work.
When it comes to ascites research, having access to the right cell culture materials is also crucial.
FBS, RPMI 1640 medium, DMEM, and supplements like penicillin, streptomycin, and L-glutamine can all play a vital role in maintaining optimal cell growth and viability.
Tools like the FibroScan can also provide valuable data on liver health and disease progression.
By combining the power of PubCompare.ai with a comprehensive understanding of relevant cell culture techniques and diagnostic tools, you can unlock new insights and drive breakthroughs in the field of ascites research.
Embark on your journey towards enhanced reproducibility and accelerated progress with the help of these cutting-edge resources.