Elnagar et al., 2022 - Google Patents
Red Blood Cell Distribution Width Level as Reliable Diagnostic and Prognostic Biomarker in Septic Patients: A Case-Control StudyElnagar et al., 2022
View PDF- Document ID
- 9291399359922017376
- Author
- Elnagar A
- Moustafa A
- Publication year
- Publication venue
- The Egyptian Journal of Hospital Medicine
External Links
Snippet
Background: Sepsis is one of the leading causes of death, with 40–50% mortality rates. The red blood cell distribution width (RDW) is an emerging, novel, and inexpensive marker for sepsis. Objective: This study aimed to evaluate RDW levels as a reliable diagnostic and …
- 230000036537 RED BLOOD CELL DISTRIBUTION WIDTH 0 title abstract description 11
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6893—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids related to diseases not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/574—Immunoassay; Biospecific binding assay for cancer
- G01N33/57407—Specifically defined cancers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/88—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving prostaglandins or their receptors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
- G01N2333/46—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from vertebrates
- G01N2333/47—Assays involving proteins of known structure or function as defined in the subgroups
- G01N2333/4701—G01N2333/4701
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/32—Cardiovascular disorders
- G01N2800/324—Coronary artery diseases, e.g. angina pectoris, myocardial infarction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/26—Infectious diseases, e.g. generalised sepsis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/50—Determining the risk of developing a disease
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/56—Staging of a disease; Further complications associated with the disease
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/52—Predicting or monitoring the response to treatment; Prognosis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/28—Neurological disorders
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/04—Endocrine or metabolic disorders
- G01N2800/042—Disorders of carbohydrate metabolism, e.g. diabetes, glucose metabolism
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/60—Complex ways of combining multiple protein biomarkers for diagnosis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/22—Haematology
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/12—Pulmonary diseases
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/90—Enzymes; Proenzymes
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shapiro et al. | A prospective, multicenter derivation of a biomarker panel to assess risk of organ dysfunction, shock, and death in emergency department patients with suspected sepsis | |
| Reilly et al. | Heterogeneous phenotypes of acute respiratory distress syndrome after major trauma | |
| Huang et al. | Immature granulocytes: a novel biomarker of acute respiratory distress syndrome in patients with acute pancreatitis | |
| Wang et al. | The usefulness of serum procalcitonin, C-reactive protein, soluble triggering receptor expressed on myeloid cells 1 and Clinical Pulmonary Infection Score for evaluation of severity and prognosis of community-acquired pneumonia in elderly patients | |
| Rey et al. | Pro-adrenomedullin, pro-endothelin-1, procalcitonin, C-reactive protein and mortality risk in critically ill children: a prospective study | |
| El-Shafie et al. | Role of presepsin compared to C-reactive protein in sepsis diagnosis and prognostication | |
| Julián-Jiménez et al. | Prognostic power of biomarkers for short-term mortality in the elderly patients seen in Emergency Departments due to infections | |
| Zendelovska et al. | Evaluation of oxidative stress markers in hospitalized patients with moderate and severe COVID-19 | |
| Lorente et al. | High serum nitrates levels in non-survivor COVID-19 patients | |
| Tang et al. | Selection of an optimal combination panel to better triage COVID-19 hospitalized patients | |
| Genc Yavuz et al. | Clinical features of the 60 years and older patients infected with 2019 novel coronavirus: can we predict mortality earlier? | |
| Mónica et al. | Cardiac complications in a geriatric population hospitalized with COVID-19: The OCTA-COVID cohort | |
| Yuan et al. | Exosomes as novel biomarkers in sepsis and sepsis related organ failure | |
| Malah et al. | Comparison between platelets to lymphocytes ratio, procalcitonin serum level, and SOFA score for outcome prediction in patients with sepsis | |
| Hur et al. | Role of plasma presepsin, procalcitonin and C-reactive protein levels in determining the severity and mortality of community-acquired pneumonia in the emergency department | |
| Cilingir et al. | Can B-type natriuretic peptide (BNP) levels serve as an early predictor of clinical severity in patients with COVID-19 pneumonia? | |
| Ayako et al. | Inflammatory, Hematological, and Biochemical Biomarkers in COVID‐19 Patients | |
| Elnagar et al. | Red Blood Cell Distribution Width Level as Reliable Diagnostic and Prognostic Biomarker in Septic Patients: A Case-Control Study | |
| Ljungcrantz et al. | Biomarkers in lower respiratory tract samples in the diagnosis of ventilator-associated pneumonia: a systematic review | |
| Asha et al. | The association of hematological and biochemical parameters with mortality among COVID-19 patients: A retrospective study from north India | |
| Ergenc et al. | Predictors of disease severity, clinical course, and therapeutic outcome in covid-19 patients: our experience with 1700 patients | |
| RU2795093C1 (en) | Method for predicting the severity of pneumonia in covid-19 | |
| RU2789426C1 (en) | Method for rapid diagnosis of the severity of pneumonia in covid-19 | |
| Ronanki et al. | Pentraxin 3 (PTX3) as a predictor of severity of sepsis in patients admitted to an intensive care unit: a cross-sectional study from North India | |
| RU2795095C1 (en) | Method for predicting outcomes of pneumonia in covid-19 |