[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Zhonghao Fang\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":81},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,39,59],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":21,"conditions":22,"keywords":24,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":27,"lastUpdatePostDateStruct":28,"startDateStruct":31,"completionDateStruct":33,"leadSponsor":35,"locationsCount":38},"100639655","a-retrospective-study-on-clinical-characteristics-and-outcomes-of-patients-with-pneumonia-100639655",false,"NCT07574866","A Retrospective Study on Clinical Characteristics and Outcomes of Patients With Pneumonia","Inclusion Criteria:\n\n1. Age ≥ 18 years old;\n2. Meet the diagnostic criteria for pneumonia (acute onset + new infiltrates on imaging);\n3. Have a positive result from pathogen testing;\n4. Time from onset to admission ≤ 72 hours (to ensure being in the acute phase of the disease);\n5. Sign a written informed consent form.\n\n   Inclusion criteria for the severe group:\n\n   A diagnosis of \"severe pneumonia\" can be made if one of the main criteria or ≥ 3 of the secondary criteria are met.\n\n   Main criteria:\n\n   ① Tracheal intubation requiring mechanical ventilation\n\n   ② Need for vasoactive drugs after active fluid resuscitation for septic shock\n\n   Secondary criteria:\n   * Respiratory rate ≥ 30 breaths\u002Fmin\n\n     * PaO₂\u002FFiO₂ ≤ 250 mm Hg\n\n       * Multiple lobe infiltrates\n\n         * Confusion and\u002For disorientation ⑤ Blood urea nitrogen ≥ 20 mg\u002FdL\n\n           ⑥ Leukopenia (WBC \\\u003C 4×10⁹\u002FL)\n           * Thrombocytopenia (PLT \\\u003C 100×10⁹\u002FL)\n\n             * Decreased body temperature (central body temperature \\\u003C 36 ℃) ⑨ Hypotension requiring fluid resuscitation\n\n   Exclusion Criteria:\n   * 1\\) Patients with severely lacking medical records;\n\n2\\) Those whose main manifestations are other non-infectious diseases (such as pulmonary edema, lung cancer, pulmonary embolism, etc.); 3) Those whose main diagnosis is active pulmonary tuberculosis, non-infectious interstitial lung disease, etc.; 4) Patients considered not applicable by the researchers.","ALL","18 Years",{"count":18,"type":19},500,"ESTIMATED","OBSERVATIONAL","Retrospective Analysis of Clinical Characteristics and Prognostic Factors in Hospitalized Pneumonia Patients from April 2023 to April 2026. Background: Pneumonia remains the leading cause of death from infectious diseases in adults worldwide, with an increasingly severe disease burden exacerbated by population aging and the frequent emergence of drug-resistant bacteria; in China, severe pneumonia accounts for a striking 13.58% to 20.05% of hospitalized cases. In recent years, shifts in the pathogen spectrum (e.g., COVID-19, influenza A) and patient demographic characteristics have posed new challenges for clinical management. However, existing studies mostly focus on single pathogens or specific populations (e.g., ICU patients), lacking systematic analyses of the full-disease course characteristics of general hospitalized pneumonia patients. Furthermore, in the post-pandemic era, the clinical phenotypes, treatment responses, and prognostic factors of pneumonia may have evolved, necessitating evidence-based support from real-world data. This study aims to conduct a retrospective analysis to clarify the epidemiological characteristics, etiological distribution, and prognostic factors influencing current hospitalized pneumonia patients, thereby providing a basis for optimizing diagnosis and treatment strategies.",[23],"Pneumonia",[25],"pneumonia","NOT_YET_RECRUITING","2026-05-05",{"date":29,"type":30},"2026-05-08","ACTUAL",{"date":32,"type":19},"2026-04",{"date":34,"type":19},"2026-12",{"name":36,"class":37},"Zhonghao Fang","OTHER",1,{"id":40,"slug":41,"hasResults":11,"nctId":42,"briefTitle":43,"officialTitle":43,"acronym":4,"eligibilityCriteria":44,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":45,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":47,"conditions":48,"keywords":50,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":52,"lastUpdatePostDateStruct":53,"startDateStruct":54,"completionDateStruct":56,"leadSponsor":58,"locationsCount":38},"100636609","a-prospective-observational-cohort-study-protocol-for-disease-severity-stratification-and-prognosis-assessment-in-patients-with-pneumonia-100636609","NCT07567911","A Prospective Observational Cohort Study Protocol for Disease Severity Stratification and Prognosis Assessment in Patients With Pneumonia","1. Inclusion and Exclusion Criteria for Pneumonia Patients 1.1 Inclusion Criteria 1) Age ≥ 18 years old; 2) Meeting the diagnostic criteria for pneumonia (acute onset + new infiltrates on imaging); 3) Time from onset to admission ≤ 72 hours; 4) Signed written informed consent. 1.1.1 Inclusion Criteria for Severe Pneumonia Patients A diagnosis of \"severe pneumonia\" can be made if one of the main criteria or ≥ 3 of the secondary criteria are met.\n\n   Main Criteria:\n\n   ① Requires mechanical ventilation with tracheal intubation\n\n   ② Requires vasopressor drugs after aggressive fluid resuscitation for septic shock\n\n   Secondary Criteria:\n   * Respiratory rate ≥ 30 breaths\u002Fmin\n\n     * PaO₂\u002FFiO₂ ≤ 250 mm Hg\n\n       * Multiple lobe infiltrates\n\n         * Confusion and\u002For disorientation\n\n           ⑤ Blood urea nitrogen ≥ 20 mg\u002FdL\n\n           ⑥ Leukopenia (WBC \\\u003C 4×10⁹\u002FL)\n\n           ⑦ Thrombocytopenia (PLT \\\u003C 100×10⁹\u002FL)\n\n           ⑧ Decreased body temperature (central body temperature \\\u003C 36 ℃)\n\n           ⑨ Hypotension requiring fluid resuscitation 1.2 Exclusion Criteria\n           1. End-stage diseases (such as expected survival \\\u003C 48 hours);\n           2. Long-term immunosuppressive therapy (prednisone \\> 20mg\u002Fd for more than 3 weeks, or neutropenia after chemotherapy);\n           3. Pregnant or lactating women. 2. Inclusion and Exclusion Criteria for Patients with Suspected Infection but Negative Pathogen Testing 2.1 Inclusion Criteria\n\n           \u003C!-- -->\n\n           1. Age ≥ 18 years old;\n           2. Having infection-related symptoms or signs (such as fever, cough, sputum production, elevated white blood cells, etc.), clinically suspected of pneumonia;\n           3. All pathogen tests are negative within 3 days after admission;\n           4. Time from onset to admission ≤ 72 hours;\n           5. Signed written informed consent. 2.2 Exclusion Criteria\n\n           \u003C!-- -->\n\n           1. End-stage diseases (such as expected survival \\\u003C 48 hours);\n           2. Long-term immunosuppressive therapy;\n           3. Pregnant or lactating women;",{"count":46,"type":19},2700,"This is a prospective, multicenter observational cohort study involving approximately 2,700 patients, designed to delineate the natural history of pneumonia by tracking the complete clinical course and dynamic multi-omics evolution from the acute phase to recovery; the study aims to quantify severe conversion rates and mortality by comparing baseline characteristics, pathogen distribution, and immune response trajectories between severe and non-severe groups, ultimately revealing the underlying molecular mechanisms of disease progression and optimizing clinical risk stratification strategies.",[49,23],"Severe Pneumonia",[25,51],"severe pneumonia","2026-04-28",{"date":27,"type":30},{"date":55,"type":19},"2026-05-01",{"date":57,"type":19},"2028-05-28",{"name":36,"class":37},{"id":60,"slug":61,"hasResults":11,"nctId":62,"briefTitle":63,"officialTitle":63,"acronym":4,"eligibilityCriteria":64,"healthyVolunteers":65,"sex":15,"minAge":16,"maxAge":66,"enrollmentInfo":67,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":69,"conditions":70,"keywords":72,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":52,"lastUpdatePostDateStruct":74,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":38},"100636700","research-plan-for-early-disease-screening-biomarkers-in-healthy-individuals-100636700","NCT07569094","Research Plan for Early Disease Screening Biomarkers in Healthy Individuals","Inclusion Criteria:\n\n1. Age: 18 - 65 years old, gender not restricted;\n2. No clear history of chronic diseases (hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic liver and kidney diseases, tumors, etc.);\n3. No infection history in the past 3 months (fever, cough, sore throat, etc.);\n4. No use of antibiotics, hormones, immunosuppressants, etc. within the past 1 month;\n5. Voluntarily sign the informed consent form and cooperate to complete the follow-up.\n\nExclusion Criteria:\n\n1. Abnormal laboratory indicators (ALT\u002FAST \\> 2 times the upper limit of normal value, Cr \\> upper limit of normal value, main indicators of blood routine test are abnormal and have clinical significance);\n2. Pregnant or lactating women;\n3. Recent (within 3 months) history of surgery, trauma or blood transfusion;\n4. Mental illness or cognitive impairment that makes it impossible to cooperate with the research.",true,"65 Years",{"count":68,"type":19},300,"The establishment of reference intervals for biomarkers in healthy populations relies on large-scale, standardized cohort data. However, current baseline data for hematology, liver and kidney function, and multi-omics (genomics, transcriptomics, proteomics, and metabolomics) in Chinese healthy populations are constrained by significant regional disparities and insufficient sample sizes, limiting the development of early disease screening markers. To address these challenges, this study aims to: (1) establish a comprehensive database for hematology and liver\u002Fkidney function indicators; (2) construct a multi-omics database using blood and sputum samples; and (3) explore the correlations among multi-omics indicators and their associations with demographic characteristics.",[71],"Health",[73],"health",{"date":75,"type":30},"2026-05-06",{"date":77,"type":19},"2026-05",{"date":79,"type":19},"2027-12",{"name":36,"class":37},""]