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Foreign Bodies

Foreign bodies are objects or materials that are abnormally present in the body.
They may be accidentally swallowed, inhaled, or implanted during medical procedures.
Common examples include food particles, toys, jewelry, and medical devices like surgical sponges.
Foreign bodies can cause serious complications if not properly identified and removed.
Researchers can leverage PubCompare.ai's AI-driven platform to streamline their foreign body research by locating, comparing, and identifying the most reproducilbe and effective protocls from literature, preprints, and patents.
This can help enhance the quality and efficiency of foreign body studies.

Most cited protocols related to «Foreign Bodies»

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Publication 2014
Accidental Injuries Anemia, Hemolytic Anorexia Nervosa Asbestosis Asphyxia Catabolism Chronic Kidney Diseases Diarrhea Disabled Persons Foreign Bodies Genetic Heterogeneity Glomerulonephritis Infant, Newborn Lung Mesothelioma Mothers Paratyphoid Fever pathogenesis Population Group Respiratory Tract Infections Silicosis Trachea Typhoid Fever
The ICD9 coding system describes diseases, signs and symptoms, injuries, poisonings, procedures and screening codes. Disease or symptom codes consist of a three-digit number (termed a ‘category’) followed, in most cases, by one or two additional specifying digits. For example, the three-digit code ‘427’ specifies cardiac arrhythmias and further digits are added to specify the type of arrhythmias, such as ‘AF’ (427.31). In most cases, physicians are required to specify codes to the fourth or fifth digit to bill the patient's insurance, although some diseases lack further specification (e.g. 042, human immunodeficiency virus). Some diseases of common etiologies cover multiple ICD9 categories based on acute and chronic effects, the anatomical areas affected or the disease severity and associated other events. ICD9 categories are further grouped hierarchically into sections and chapters.
Since the ICD9 terminology was designed primarily for billing and administrative functions, we developed custom ‘case groups’ of ICD9 codes to better allow for large-scale genomic research involving ICD9 codes. In general, we used the existing three-digit categories as a guide in designing our case groups. We performed one of several functions on the original ICD9 terminology: (i) we combined three-digit codes that represented common etiologies [e.g. creating a single ‘tuberculosis’ code group from 010 to 018 (primary tuberculosis), 137 (late effects of tuberculosis) and 647.3 (tuberculosis complicating the peripartum period)]; (ii) for clinically distinct phenotypes that are combined in a single three-digit code, we divided the existing ICD9 classification (by adding a fourth digit), such as Type 1 and Type 2 diabetes (both part of code ICD9 category 250); and (iii) we marked as ‘ignorable’ other ICD9 codes that were unlikely to be useful in a genetic context, such as contamination with foreign objects, non-specific signs and symptoms [e.g. 790.6 (other abnormal blood chemistry)], non-specific laboratory results, elective abortions and iatrogenic complications of medical care. There were 395 fully specified diagnosis-related ICD9 codes ignored from the analysis. When combining ICD9 codes from disparate parts of the code groupings (e.g. tuberculosis above contains codes in the ICD9 chapters ‘infectious and parasitic diseases’ and ‘complications of pregnancy, childbirth and the puerperium’), we chose the case group number most closely related to the etiology of the disease (e.g. we grouped all tuberculosis ICD9 codes under ‘010’ in the ‘infectious and parasitic diseases’ chapter of ICD9 codes).
In addition, we used the ICD9 coding system to generate comparison groups (‘controls’) for all case groups, which included all patients that did not have a prevalent ICD9 code belonging to a specified list of disease exclusions defined for each case group. The exclusions for most diseases closely followed the existing section groupings in the ICD9 hierarchy, which groups related conditions. Control groups for CD, for instance, excluded CD, ulcerative colitis and several other related gastrointestinal complaints. Similarly, control groups for myocardial infarction excluded patients with myocardial infarctions, as well as angina and other evidence of ischemic heart disease. There are 105 unique control exclusions groups. The custom ICD9 case and exclusion groupings are available from http://knowledgemap.mc.vanderbilt.edu/research.
Publication 2010
Angina Pectoris Birth Blood Chemical Analysis Cardiac Arrhythmia Diabetes Mellitus, Non-Insulin-Dependent Diagnosis Fingers Foreign Bodies Genome HIV Induced Abortions Infection Injuries Myocardial Infarction Myocardial Ischemia Parasitic Diseases Patients Phenotype Physicians Poisoning Pregnancy Complications Tuberculosis Ulcerative Colitis
The Korean Corneal Disease Study Group (KCDSG) is an independent, non-profit, academic society whose members comprise the most active corneal subspecialists in Korea. In 2009, the initial survey on the definition, diagnosis, severity grading, and management of dry eye disease was conducted among the members of the KCDSG. In this survey, we found that 78.8% of KCDSG members use the DEWS classification [3 (link)] as diagnostic guidelines of dry eye disease, while 21.2% use guidelines proposed by the DTS group [2 (link)]. KCDSG members also responded that they consider subjective symptoms, tear film breakup time (TBUT), and signs of ocular surface inflammation of more diagnostic value than other parameters. Based on the results of this survey, along with a review of the contemporary literature with regard to definition, classification, and treatment recommendations for dry eye, the subcommittees held face-to-face meetings to reach a consensus on the issues related to the definition, diagnosis, severity grading, and treatment recommendations for dry eye disease. New guidelines for the diagnosis and management of dry eye disease were adopted as shown in Tables 1 and 2. These guidelines were based on DEWS guidelines and modified to simplify the grading scheme so that they could be used more easily in clinical practice.
Dry eye disease was defined as "a disease of the ocular surface that is associated with tear film abnormalities." We agreed that a patient should be diagnosed with dry eye disease when he or she has at least one symptom and one objective sign. In the diagnosis guidelines, dry eye symptoms included ocular symptoms (such as dryness, discomfort, foreign body sensation, and pain) and visual symptoms (such as blurring or vision fluctuation). Ocular surface staining score by the Oxford system [9 (link)], TBUT, and Schirmer-1 test score were used as objective signs for diagnosing dry eye disease. Conjunctival injection, lid problems such as blepharitis, trichiasis, keratinization, or symblepharon, and tear film abnormalities such as debris, decreased tear meniscus, and mucus clumping, were considered signs of ocular surface inflammation, but these findings were not considered during the grading of disease severity. The severity level of the disease was determined when both designated symptoms and signs were present at a certain level. If there was a discrepancy between the patients' symptoms and signs, the severity level was determined according to the severity level of the objective signs. When several objective signs were present at different levels, the severity level of the disease was determined following ocular surface staining. In addition, we introduced a provisional category of "dry eye suspect," which is not listed on the grading scheme. The patient was diagnosed with suspected dry eye when he or she had only dry eye symptoms without any objective signs. This was to evaluate the distribution of disease severity at the initial visit, and the treatment recommendation did not include the category of "dry eye suspect."
Detailed treatment options for each particular level from level I to level IV were recommended as shown in Table 2.
Publication 2014
ARID1A protein, human Blepharitis Chryseobacterium nakagawai Congenital Abnormality Conjunctiva Cornea Corneal Diseases Disease Management Dry Eye Dry Eye Syndromes Face Foreign Bodies Inflammation Koreans Meniscus Mucus Pain Patients Signs and Symptoms Tears Trichiasis Vision
The impact of TLR2 or TLR9 on biofilm formation and growth in vivo was assessed using a mouse model of catheter-associated biofilm infection as previously described with minor modifications (50 (link), 51 (link)). Briefly, WT, TLR2 KO, or TLR9 KO mice received subcutaneous implants of sterile 1 cm catheter segments in both flanks under general anesthesia. One catheter was inoculated with 20 μl (5 × 105 CFU) log-phase USA300 LAC::lux, whereas the other catheter received an equal volume of PBS to evaluate the foreign body response. The extent of biofilm formation was monitored longitudinally in the same cohort of mice using an In Vivo Imaging System (IVIS Spectrum; Caliper Life Sciences) under isoflurane anesthesia and separate groups of animals were sacrificed at days 3, 7, and 10 post-infection to determine absolute bacterial burdens associated with catheters and surrounding tissues. In experiments designed to assess the ability of identical S. aureus inoculums to establish biofilm versus subcutaneous infection in the absence of an indwelling device, mice received subcutaneous injections of USA300 LAC::lux (5 × 105 cfu in 20 μl) and processed as described above for biofilm infections.
Publication 2011
Anesthesia Animals Bacteria Biofilms Catheterization Catheters Foreign Bodies General Anesthesia Infection Isoflurane Medical Devices Mus Sterility, Reproductive Subcutaneous Injections Tissues TLR2 protein, human
This was a questionnaire-based cross-sectional study analyzing DES among higher secondary school children who are attending online classes during the COVID-19 pandemic. An online survey questionnaire was developed by the authors, which comprised of 4 sections: demography of the children, digital device information, DES symptoms questionnaire, and good ocular health safety tips for children during digital device use. Before recruitment, participants were informed about the purpose, length, and anonymity of the study. The parents were also informed that their data would be used for research purposes, but without disclosing the identity of the participants. The study was conducted in accordance with the Declaration of Helsinki, and was approved by the appropriate Institutional Review Board.
The children or their parents were asked to indicate the average time in hours per day spent on each of the following activities: computer/PAD use, smartphone use, online classes, watching TV, and playing of video games during the COVID era as well as the total duration of digital device use before and during the COVID era. DES symptoms and their severity and frequency were recorded. The online electronic survey [Annexure 1] form was prepared on the Google survey forms app. The survey was circulated as a google link among social media groups of parents and was open to responses for one week in July after the lockdown in India. The DES symptoms and its severity were measured using the Computer Vision Syndrome Questionnaire (CVS-Q) developed by Segui et al.[9 (link)] The CVS-Q evaluated the intensity (moderate or intense) and frequency (never, occasionally, or always/often) of 16 eye strain-related symptoms, including burning sensation, itching in the eyes, foreign body sensation, watering, excessive blinking, redness, eye pain, heaviness in the eyelids, dryness, blurring of vision, double vision, difficulty in near vision, intolerance to light, colored halos, worsening of vision, and headache. Frequency was recorded as follows: NEVER = symptoms did not occur at all; OCCASIONALLY = sporadic symptoms or once a week; OFTEN OR ALWAYS = 2 or 3 times in a week or almost daily. Intensity was recorded as MODERATE or SEVERE.
The total score was calculated by applying the following formula:
Score (frequency of symptom occurrence)i(intensity of symptom)i[Where Frequency: Never = 0, Occasionally = 1, Often or always = 2 & Intensity: Moderate = 1, Intense = 2].
The overall assessment was conducted by obtaining the total score, recorded as the DES score. The result of frequency X intensity was recorded as: 0 = 0; 1 or 2 = 1; 4 = 2. If the total score was ≥6 points, the child was considered to be suffering from digital eye strain. DES scores were further categorized as mild (DES score = 6-12), moderate (DES score = 13-18), and severe (DES score = 19-32).
All the data that was collected from the respondents were exported as Microsoft Excel sheets from the Google drive link, and statistical analysis was performed using the IBM SPSS Statistics software. Quantitative variables were presented as mean ± standard deviation, while qualitative variables were presented as numbers and percentages.
The associated risk factors of DES were analyzed by univariate and multivariate logistic regression with age, gender, device used (smartphone, desktop, laptop/tab), viewing distance, and duration of screen use. In the univariate analysis, the Chi-square or Fisher's exact test was used to investigate the associations between the qualitative variables. In the multivariate analysis, multiple logistic regression analysis was performed to identify the independent risk factors for DES by calculating the odds ratios (ORs) and their corresponding 95% CI. A P value <0.05 was considered statistically significant.
Publication 2020
Asthenopia Child COVID 19 Desiccation Erythema Ethics Committees, Research Eye Eyelids Foreign Bodies Gender Headache Medical Devices Pain, Eye Parent Photophobia Safety Syndrome Vision

Most recents protocols related to «Foreign Bodies»

At the end of 12 weeks, 3 birds were chosen from each replicate and put in a metabolic cage with collection tray for fecal samples. The fecal samples were collected on replicate basis at 12 h intervals daily for 3 days. Contamination of fecal samples were avoided by ensuring that feed, feathers and other foreign materials were completely excluded from fecal samples during collection. The fecal samples were then weighed, pooled together for each treatment group, and kept in sealed bags at –20°C (Zhou et al., 2021 (link)). Prior to amino acid analysis, the fecal samples were thawed and oven-dried at 65°C for 72 h, then weighed again and pulverized into finely ground powder that can pass through a 0.05 mm mesh. Amino acids determinations from samples of feed and feces was performed by HPLC, following an established method by Varzaru et al. (2013) . The HPLC system was Finnigan Surveyor Plus and HyperSil BDS C18 column, size 250 × 4.6 mm, 5 μm (Thermo-Electron Corporation, Waltham, MA). For apparent fecal amino acid digestibility analysis, the feed intake and the fecal weight (dry matter basis) from each metabolic cage were calculated. The apparent fecal amino acid digestibility was calculated as: Apparent Amino acid Digestibility = 1 ˗ (amino acid concentration in the feces ×feces weight)/(amino acid concentration in the feed × feed intake) × 100%.
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Publication 2023
Amino Acids Aves DNA Replication Electrons Feathers Feces Feed Intake Foreign Bodies High-Performance Liquid Chromatographies Powder Specimen Collection
Both scores were assessed before any other assessment or handling of the mice. To examine the motivation of the mice to explore and interact (sniffing, holding with forepaws, or carrying) with a foreign object, we added a Nestlet (Ancare, Bellmore, USA) to the home cages and observed the mice for one minute. The explorative test was scored 1 (interaction) or 0 (no interaction) per cage. An interaction of one animal of the cage was deemed as sufficient for a positive score. Nest complexity scoring was performed following Hess et al.68 (link) in the home cage assigning scores between 0 and 5.
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Publication 2023
Animals Foreign Bodies Mice, House Motivation
From the PHIS+ dataset, we identified all encounters for children ages 3 months to 18 years with a CXR performed in the ED and for which corresponding clinical data were identifiable within PHIS+. We only included children whose ED visits resulted in discharge or admission, thus excluding ambulatory or surgical encounters. For encounters with multiple CXRs during the same encounter, we retained the first. All types of CXR series were included, including portable, single-view, two-view, multiple-view, and foreign body aspiration series, regardless of the imaging study indication. Records with incomplete or missing CXR reports were excluded.
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Publication 2023
Child Foreign Bodies GPI protein, human Only Child Operative Surgical Procedures Patient Discharge
Based on the findings of the initial brain CT scan, the decision for further interventions was made. Patients were admitted to the ICU when they had significant intracranial hemorrhage (ICH), severe injury to other organs, and on admission GCS of lower than 10.
In cases with suspicion of vascular injury, a brain CT angiography was also obtained.
Cranioplasty and dural repair were performed when indicated, and the removal of the foreign bodies was also conducted when objects were not located in deep-seated or eloquent areas.
In cases with findings in favor of a midline shift of more than 5 mm or raised intracranial pressure, decompressive craniectomy was performed. Following the surgical intervention, patients were transferred to the ICU and then, once they were stable, to the ward.
Publication 2023
Brain Computed Tomography Angiography Decompressive Craniectomy Foreign Bodies Injuries Intracranial Hemorrhage Operative Surgical Procedures Patients Vascular System Injuries X-Ray Computed Tomography
After review by the hospital’s institutional review committee, the patients were exempted from the requirement to obtain informed consent. We retrospectively analysed the CT and MRI data of 399 patients with thoracic/lumbar compression fractures diagnosed and treated in our hospital between April 2016 and April 2022. The inclusion criteria were as follows: ① diagnosis of benign VCFs, including traumatic or osteoporotic fractures; and ② complete original data, including CT and MRI vertebral examinations, with an interval between the two examinations of less than 3 days. Exclusion criteria: ① suspected infection or tumour-related pathological fractures; ② poor image quality or presence of foreign body artifacts; ③ patients with uncertain health status or acute or chronic VCFs. Acute VCFs was defined as sudden onset of chest and back pain and bone marrow oedema within 4 weeks of MRI examination [16 ]. The chronic phase was defined as the absence of bone marrow oedema, which was evaluated by two senior doctors with 6 years and 10 years of experience in skeletal and muscle imaging who made a diagnosis of acute or chronic VCFs. When their results are inconsistent, a final conclusion will be reached through their consultation. The detailed screening process is shown in Fig. 1. The flowchart and DLR workflow of this study (Figs. 2 and 3) shows the case collection and grouping, image preprocessing, feature extraction, feature analysis, and model construction. Patients were randomly allocated to training and test cohorts in an 8:2 ratio.

Flow chart of study inclusion

Study flowchart

Deep learning radiomics workflow

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Publication 2023
Back Pain Bone Marrow Bone Marrow Examination Chest COF protocol Diagnosis Edema Foreign Bodies Fracture, Compression Infection Lumbar Region Muscle Tissue Neoplasms Osteoporotic Fractures Pathological Fracture Patients Physical Examination Physicians Skeleton Vertebra

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