RU2016100626A - METHOD FOR PREDICTING THE SEVERITY OF THE COURSE AND THE OUTCOME OF THE DISEASE IN PATIENTS WITH SURGICAL SEPSIS - Google Patents
METHOD FOR PREDICTING THE SEVERITY OF THE COURSE AND THE OUTCOME OF THE DISEASE IN PATIENTS WITH SURGICAL SEPSIS Download PDFInfo
- Publication number
- RU2016100626A RU2016100626A RU2016100626A RU2016100626A RU2016100626A RU 2016100626 A RU2016100626 A RU 2016100626A RU 2016100626 A RU2016100626 A RU 2016100626A RU 2016100626 A RU2016100626 A RU 2016100626A RU 2016100626 A RU2016100626 A RU 2016100626A
- Authority
- RU
- Russia
- Prior art keywords
- ic3ar
- disease
- monocytes
- c3ar
- expression
- Prior art date
Links
- 206010040047 Sepsis Diseases 0.000 title claims 4
- 201000010099 disease Diseases 0.000 title claims 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims 4
- 238000000034 method Methods 0.000 title claims 2
- 210000001616 monocyte Anatomy 0.000 claims 4
- 210000004369 blood Anatomy 0.000 claims 3
- 239000008280 blood Substances 0.000 claims 3
- KCXVZYZYPLLWCC-UHFFFAOYSA-N EDTA Chemical compound OC(=O)CN(CC(O)=O)CCN(CC(O)=O)CC(O)=O KCXVZYZYPLLWCC-UHFFFAOYSA-N 0.000 claims 1
- 238000010241 blood sampling Methods 0.000 claims 1
- 210000004027 cell Anatomy 0.000 claims 1
- 238000003745 diagnosis Methods 0.000 claims 1
- 230000002093 peripheral effect Effects 0.000 claims 1
- 238000004393 prognosis Methods 0.000 claims 1
- 210000003462 vein Anatomy 0.000 claims 1
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 groups G01N1/00 - G01N31/00
- G01N33/48—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; Materials therefor
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Chemical & Material Sciences (AREA)
- Hematology (AREA)
- Urology & Nephrology (AREA)
- Biotechnology (AREA)
- Microbiology (AREA)
- Cell Biology (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Claims (9)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| RU2016100626A RU2674252C2 (en) | 2016-01-11 | 2016-01-11 | Method for predicting disease severity and outcome in patients with surgical sepsis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| RU2016100626A RU2674252C2 (en) | 2016-01-11 | 2016-01-11 | Method for predicting disease severity and outcome in patients with surgical sepsis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| RU2016100626A true RU2016100626A (en) | 2017-07-14 |
| RU2674252C2 RU2674252C2 (en) | 2018-12-06 |
Family
ID=59497081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| RU2016100626A RU2674252C2 (en) | 2016-01-11 | 2016-01-11 | Method for predicting disease severity and outcome in patients with surgical sepsis |
Country Status (1)
| Country | Link |
|---|---|
| RU (1) | RU2674252C2 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2684904C1 (en) * | 2018-03-05 | 2019-04-16 | Федеральное государственное бюджетное учреждение науки Оренбургский федеральный исследовательский центр Уральского отделения Российской академии наук | Method for assessing severity of sepsis |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2720824C1 (en) * | 2019-05-16 | 2020-05-13 | Юрий Леонидович Кецко | Method for assessing nearest disease prognosis and protein-energy deficiency correction in patients with inflammatory syndrome of bacterial genesis |
| RU2713930C1 (en) * | 2019-10-16 | 2020-02-11 | Федеральное государственное бюджетное научное учреждение "Научно-исследовательский институт комплексных проблем сердечно-сосудистых заболеваний" (НИИ КПССЗ) | Method for prediction of sepsis following cardiosurgical operations performed in conditions of artificial blood circulation |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2331882C1 (en) * | 2006-11-30 | 2008-08-20 | Наталья Валериановна Безручко | Method of endogenous intoxication severity evaluation in urgent abdominal pathology in early post-operative period |
| RU2374646C1 (en) * | 2008-05-20 | 2009-11-27 | Федеральное Государственное Учреждение Ростовский НИИ акушерства и педиатрии Федерального агентства по высокотехнологичной медицинской помощи | Early diagnostic technique for development of neonatal sepsis in newborns suffering from respiratory disorder syndrome and hypoxic damage of cns |
-
2016
- 2016-01-11 RU RU2016100626A patent/RU2674252C2/en active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2684904C1 (en) * | 2018-03-05 | 2019-04-16 | Федеральное государственное бюджетное учреждение науки Оренбургский федеральный исследовательский центр Уральского отделения Российской академии наук | Method for assessing severity of sepsis |
Also Published As
| Publication number | Publication date |
|---|---|
| RU2674252C2 (en) | 2018-12-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Denfeld et al. | The prevalence of frailty in heart failure: a systematic review and meta-analysis | |
| Ciriello et al. | Biomarkers predicting sepsis in polytrauma patients: current evidence | |
| Zhao et al. | Neutrophil-to-lymphocyte ratio predicts length of stay and acute hospital cost in patients with acute ischemic stroke | |
| Buemi et al. | Is plasma and urine neutrophil gelatinase-associated lipocalin (NGAL) determination in donors and recipients predictive of renal function after kidney transplantation? | |
| Skevaki et al. | Immune biomarkers in the spectrum of childhood noncommunicable diseases | |
| CN105525029A (en) | Seminal plasma piRNA markers reflecting male sperm activity or combination and application thereof | |
| RU2016100626A (en) | METHOD FOR PREDICTING THE SEVERITY OF THE COURSE AND THE OUTCOME OF THE DISEASE IN PATIENTS WITH SURGICAL SEPSIS | |
| Song et al. | The simplified GLIM criteria for assessment of malnutrition and its correlation with clinical outcomes in Crohn’s disease patients | |
| RU2530621C1 (en) | Method for evaluating risk of developing cardiovascular complications in females suffering from hypertensive disease | |
| CN118033143A (en) | Serum biomarker for predicting ischemic stroke occurrence and application thereof | |
| Biener et al. | Prognostic value of circulating microRNAs compared to high-sensitivity troponin T in patients presenting with suspected acute coronary syndrome to the emergency department | |
| Cao et al. | Predicting sepsis severity from limited temporal observations | |
| EP4396377A1 (en) | Methods of predicting long-term outcome in kidney transplant patients using pre-transplantation kidney transcriptomes | |
| Salvagno et al. | The role of acute phase proteins for predicting SARS-CoV-2 positivity upon emergency department admission | |
| Wen et al. | Changes and significance of interleukin 17 expression in patients after renal transplantation | |
| RU2757522C1 (en) | Predicting method for development of chronic kidney disease in patients with type 1 and type 2 diabetes mellitus (options) | |
| JP2020051911A (en) | Heart failure marker | |
| Karim et al. | The Relationship of Lactate Albumin Ratio With Sofa Score As A Predictor of Sepsis Patients in The Intensive Care Room | |
| Bayanova et al. | Genetic biomarkers of acute graft rejection after heart transplantation | |
| Pratapagiri et al. | An Optimal Framework for Intelligent Prediction of Prediabetes and Type-2 Diabetes Using Genomic Data | |
| Neumann et al. | P1740 Diagnostic evaluation of the new Sgx clarity ultra-sensitivity troponin I assay in patients with suspected myocardial infarction | |
| Truby et al. | Molecular Diagnostics for the Diagnosis of Allograft Rejection | |
| Farnsworth et al. | A-235 Systemic Inflammation is associated with worse outcomes from SARS-CoV-2 infection but not neutralizing antibody | |
| EP4159874A1 (en) | Faecal microbiota signature for pancreatic cancer | |
| Naddaf | Earlydementia diagnosis: blood proteinsrevealat-risk people |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| HZ9A | Changing address for correspondence with an applicant | ||
| TC4A | Change in inventorship |
Effective date: 20200702 |