[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"volatile-organic-compounds\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:volatile-organic-compounds":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,49,84,116],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":23,"studyType":24,"phases":4,"briefSummary":25,"conditions":26,"keywords":30,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":38,"lastUpdatePostDateStruct":39,"startDateStruct":42,"completionDateStruct":44,"leadSponsor":46,"locationsCount":4},"100622126","brevoc-study-exhaled-vocs-for-high-risk-chest-pain-in-the-ed-100622126",false,"NCT07379567","BREVOC Study: Exhaled VOCs for High-Risk Chest Pain in the ED","Application of Rapid Detection of Exhaled Volatile Organic Compounds in the Emergency Department for Differentiating High-Risk Chest Pain Patients","BREVOC","Inclusion Criteria：\n\n* Age between 18 and 80 years, regardless of gender\n* Presenting to the Emergency Department with acute chest pain=\n* Able to provide informed consent\n\nExclusion Criteria：\n\n* Unable to perform breath sampling\n* Incomplete medical records\n* Refusal to participate by the patient or legal representative\n* Presence of any of the following conditions:Recent pulmonary infection、 Primary liver or kidney dysfunction、Chronic respiratory or digestive system diseases、Terminal illness or receiving palliative care\n* Participation in another clinical research study within the past 30 days","ALL","18 Years","80 Years",{"count":21,"type":22},6000,"ESTIMATED","1 Year","OBSERVATIONAL","Study Objectives\n\n1. Screening and identification of diagnostic biomarkers: To establish the exhaled volatile organic compound (VOC) profile of patients with acute high-risk chest pain and to differentiate high-risk chest pain patients.\n2. Exploration of aldehyde detection: To investigate the role of exhaled aldehyde detection in high-risk chest pain patients; to establish and validate an early differential diagnostic model of exhaled VOCs for high-risk chest pain, thereby optimizing emergency triage procedures.\n3. Prognostic evaluation: To assess the predictive value of VOC concentration changes for in-hospital mortality and major adverse cardiovascular events (MACE) in high-risk chest pain patients.\n4. Novel diagnostic markers: To explore new biomarker combinations superior to conventional diagnostic indicators.\n\nStudy Hypotheses\n\n1. High-risk chest pain patients present a VOC profile distinct from that of healthy individuals and patients with other causes of chest pain.\n2. Baseline levels and early changes of exhaled VOCs can achieve both rapid diagnosis and risk stratification.\n3. Exhaled VOCs can predict the prognosis of high-risk chest pain patients. Sample Size Calculation This is an exploratory study, aiming to enroll all patients presenting with acute chest pain to the emergency department of our hospital between May 2025 and June 2026. Based on prior studies, the primary endpoint is assessed using area under the receiver operating characteristic curve (AUC-ROC) analysis, with α = 0.05 and 1-β = 0.90. The expected model AUC is 0.75, compared to a minimum acceptable AUC of 0.65. Assuming a group ratio of 1:2 (high-risk: non-high-risk), Power Analysis and Sample Size (PASS) software estimates a minimum sample size of approximately 1,320 patients.\n\nTo enable subgroup analyses (e.g., acute coronary syndrome \\[ACS\\], pulmonary embolism \\[PE\\], aortic dissection \\[AD\\]) and the construction of multivariable predictive models, at least 150-300 patients per subgroup are required. According to preliminary investigation, the emergency department admits approximately 20 chest pain patients daily. To ensure model stability, cross-validation, and sufficient subgroup evaluation, a total of 6,000 patients will be prospectively enrolled, thereby enhancing scientific rigor and external validity.\n\nPrimary Outcome Discrimination between high-risk and non-high-risk chest pain patients, assessed by AUC-ROC, sensitivity, and specificity.\n\nSecondary Outcomes\n\n1. Missed diagnosis rate (the proportion of high-risk patients misclassified as low or intermediate risk by the model).\n2. Average emergency department length of stay and medical costs under model-guided triage.\n3. In-hospital mortality and incidence of major adverse cardiovascular events (MACE).\n\nStatistical Methods\n\n1. Categorical variables will be expressed as frequencies or percentages; normally or approximately normally distributed continuous variables as mean ± standard deviation; and skewed data as median (P25, P75). Between-group comparisons will be performed using independent-samples t-tests, one-way analysis of variance (ANOVA), Mann-Whitney U tests, or Kruskal-Wallis tests for continuous variables, and chi-square (χ²) tests or Fisher's exact tests for categorical variables.\n2. Feature selection of VOCs will be performed using methods such as least absolute shrinkage and selection operator (LASSO) regression, followed by the construction of a VOC scoring model.\n3. Prognostic factors will be assessed using Cox proportional hazards models.\n4. Trajectory analysis will be applied to evaluate changes in VOC concentrations over time.",[27,28,29],"Acute Coronary Syndrome","High-Risk Chest Pain","Volatile Organic Compounds",[31,32,33,34,35,36],"Acute coronary syndrome","Breath analysis","Volatile organic compounds","Chest Pain","Aortic dissection","Pulmonary embolism","NOT_YET_RECRUITING","2026-01-23",{"date":40,"type":41},"2026-01-30","ACTUAL",{"date":43,"type":22},"2026-03-01",{"date":45,"type":22},"2027-12-31",{"name":47,"class":48},"Qilu Hospital of Shandong University","OTHER",{"id":50,"slug":51,"hasResults":11,"nctId":52,"briefTitle":53,"officialTitle":54,"acronym":4,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":59,"phases":60,"briefSummary":62,"conditions":63,"keywords":66,"overallStatus":73,"whyStopped":4,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":83},"100502264","addressing-tetrachloroethylene-exposure-in-an-impacted-community-100502264","NCT05819996","Addressing Tetrachloroethylene Exposure in an Impacted Community","Addressing Tetrachloroethylene Exposure in an Impacted Community: Residents' Concerns, Neurotoxic Effects, and Exposure Reduction","Inclusion Criteria:\n\n* Residents of Martinsville, Indiana\n* 18 years or older","99 Years",{"count":58,"type":22},510,"INTERVENTIONAL",[61],"NA","Groundwater in Martinsville, IN, is contaminated by volatile organic compounds (VOCs), tetrachloroethylene (PCE) and trichloroethylene (TCE). Indoor air in some residential and commercial buildings is also contaminated with PCE and TCE. This study is being conducted to better understand the impact of low-level exposures to these compounds on community members' health. Data collected in this study will be used to help the community identify a course of action.",[64,65,29],"Vapors; Inhalation","Cancer",[67,68,69,70,71,72],"Tetrachloroethylene","Trichloroethylene","PCE","TCE","Community environmental contamination","Chlorinated volatile organic compounds","RECRUITING","2025-03-15",{"date":76,"type":41},"2025-03-18",{"date":78,"type":41},"2023-02-17",{"date":80,"type":22},"2028-05-31",{"name":82,"class":48},"Purdue University",1,{"id":85,"slug":86,"hasResults":11,"nctId":87,"briefTitle":88,"officialTitle":89,"acronym":4,"eligibilityCriteria":90,"healthyVolunteers":91,"sex":17,"minAge":18,"maxAge":92,"enrollmentInfo":93,"targetDuration":4,"studyType":59,"phases":95,"briefSummary":96,"conditions":97,"keywords":4,"overallStatus":73,"whyStopped":4,"lastUpdateSubmitDate":107,"lastUpdatePostDateStruct":108,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":83},"100470968","augmented-response-of-volatile-biomarkers-in-assessment-of-oesophagogastric-cancer-aroma-1--bioresource-100470968","NCT05412758","Augmented Response of Volatile Biomarkers in Assessment of Oesophagogastric Cancer (AROMA 1 \u002F BIORESOURCE)","Augmented Response of Volatile Biomarkers in Assessment of Oesophagogastric Cancer","AROMA 1 Inclusion Criteria:\n\n1. Aged 18-90years\n2. Oesophageal\u002Fgastric cancer cohort: participants with biopsy proven adenocarcinoma who are treatment naïve\n3. Control cohort: participants with normal or benign upper gastrointestinal disease determined on: • Endoscopy within 1 year • Planned endoscopy\n\nAROMA 1 Exclusion criteria:\n\nPatients with the following characteristics will not be eligible for inclusion in this study:\n\n1. Oesophageal squamous cell carcinoma\n2. Previous oesophageal and gastric resection\n3. Received neoadjuvant chemotherapy for oesophageal or gastric cancer\n4. History of another cancer within three years\n5. Any form of oesophageal dysplasia (control cohort only)\n6. Previously diagnosed with Barrett's oesophagus (control cohort only)\n7. Active infection, on immunosuppressive medications or antibiotic therapy within the last 8 weeks\n8. Participants with co-morbidities preventing breath collection\n9. Allergies to any of the constituents of the nutrient drink including glucose, glycerol, iron sulphate, Maltodextrin (Corn, Potato), Xanthan Gum, Potassium Chloride, tyrosine, phenylalanine, and glutamic acid\n10. Unable or unwilling to provide informed written consent\n11. Pregnant participants\n\nBIORESOURCE inclusion criteria:\n\n1. Aged 18- 90years\n2. Oesophageal\u002Fgastric cancer cohort: participants with biopsy proven adenocarcinoma who are treatment naïve\n3. Oesophageal\u002Fgastric control cohort: participants with normal or benign upper gastrointestinal disease determined on: • Planned endoscopy\n\nBIORESOURCE exclusion criteria:\n\n1. Oesophageal squamous cell carcinoma\n2. Previous oesophageal and gastric resection\n3. Received neoadjuvant chemotherapy for oesophageal or gastric cancer\n4. History of another cancer within five years\n5. Any form of oesophageal dysplasia (oesophageal\u002Fgastric control cohorts only)\n6. Previously diagnosed with Barrett's oesophagus (oesophageal\u002Fgastric control cohorts only)\n7. Active infection, on immunosuppressive medications or antibiotic therapy within the last 8 weeks\n8. Participants with co-morbidities preventing breath collection\n9. Unable or unwilling to provide informed written consent\n10. Pregnant participants",true,"90 Years",{"count":94,"type":22},648,[61],"Cancer of the stomach and oesophagus is among the world's top five cancers. Survival rates are very poor as the disease presents late and early symptoms are non-specific. The study team has developed a non-invasive test for cancers of the stomach and oesophagus based on the detection of volatile organic compounds in exhaled breath. These compounds are known to be produced by both cancers as well as cancer associated bacteria within the gut.\n\nThe proposed innovation is to improve the accuracy of this test by investigating whether simple metabolic substrates can increase the production of these volatile organic compounds by both the tumour and its associated bacteria.",[29,98,99,100,101,102,103,104,105,106],"Microbiome","Microbioata","Breath Analysis","Oesophageal Cancer","Gastric Cancer","Volatalomics","Metabonomics\u002FLipidomics","Microbiome Analysis","Transcriptomics","2025-01-29",{"date":109,"type":41},"2025-01-31",{"date":111,"type":41},"2022-02-28",{"date":113,"type":22},"2025-10",{"name":115,"class":48},"Imperial College London",{"id":117,"slug":118,"hasResults":11,"nctId":119,"briefTitle":120,"officialTitle":120,"acronym":4,"eligibilityCriteria":121,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":122,"enrollmentInfo":123,"targetDuration":4,"studyType":24,"phases":4,"briefSummary":125,"conditions":126,"keywords":4,"overallStatus":73,"whyStopped":4,"lastUpdateSubmitDate":130,"lastUpdatePostDateStruct":131,"startDateStruct":133,"completionDateStruct":135,"leadSponsor":137,"locationsCount":83},"100575069","breathomics-in-the-diagnosis-and-prediction-of-radiotherapy-induced-oropharyngeal-mucositis-in-head-and-neck-tumors-100575069","NCT06767488","Breathomics in the Diagnosis and Prediction of Radiotherapy-Induced Oropharyngeal Mucositis in Head and Neck Tumors","Inclusion Criteria:\n\n* Voluntarily sign informed consent. Over 18 years of age. Histologically confirmed head and neck tumors, treated with radiotherapy or chemoradiotherapy.\n\nECOG PS Score: 0\u002F1\u002F2.\n\nExclusion Criteria:\n\n* Lung disease such as lung cancer, tuberculosis, and lung infections. Inhalation anesthesia within 3 months. Inhalation medication within 3 months. Postoperative laryngeal cancer. Concurrent serious uncontrolled medical conditions such as unstable heart disease requiring treatment, poorly controlled diabetes mellitus (fasting blood glucose \\> 1.5 x upper limit of normal).\n\nParticipation deemed inappropriate in the judgment of the investigator.","75 Years",{"count":124,"type":22},375,"Radiotherapy-Induced Oropharyngeal Mucositis (RIOM) is one of the most distressing side effects for patients with head and neck tumors during radiotherapy, requiring clinical physicians to manage it according to the severity of mucositis to alleviate symptoms and improve quality of life. However, traditional diagnosis of RIOM overly relies on subjective evaluation, lacks early sensitivity, and existing biomarker diagnostic methods suffer from insufficient efficacy, invasiveness, and inconsistent results. This study aims to explore the diagnostic and predictive value of exhaled breathomics in RIOM of head and neck tumors. By collecting exhaled breath samples from head and neck tumor patients undergoing radiotherapy and analyzing volatile organic compounds (VOCs) using breath detection technology, we aim to develop and validate a non-invasive diagnostic and predictive model based on exhaled breathomics. The study will identify specific VOCs as potential biomarkers, providing new tools for early diagnosis, timely prediction, and personalized treatment of RIOM.",[127,128,29,129],"Head and Neck Tumors","Breathomics","Radiotherapy-induced Oral Mucositis","2025-01-08",{"date":132,"type":41},"2025-01-10",{"date":134,"type":41},"2024-12-06",{"date":136,"type":22},"2026-04-30",{"name":138,"class":48},"Nanfang Hospital, Southern Medical University"]