Name (Synonyms) | Correlation | |
---|---|---|
drug1233 | Vitamins Wiki | 0.71 |
drug366 | Dexmedetomidine Injectable Product Wiki | 0.71 |
drug565 | Imatinib Wiki | 0.50 |
drug431 | Favipiravir Wiki | 0.22 |
drug505 | Hydroxychloroquine Wiki | 0.15 |
drug108 | Azithromycin Wiki | 0.13 |
Name (Synonyms) | Correlation | |
---|---|---|
D000071257 | Emergence Delirium NIH | 0.71 |
D003693 | Delirium NIH | 0.50 |
D007249 | Inflammation NIH | 0.22 |
D013577 | Syndrome NIH | 0.09 |
D055371 | Acute Lung Injury NIH | 0.09 |
D012127 | Respiratory Distress Syndrome, Newborn NIH | 0.09 |
D012128 | Respiratory Distress Syndrome, Adult NIH | 0.08 |
D003141 | Communicable Diseases NIH | 0.07 |
D007239 | Infection NIH | 0.05 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.04 |
D018352 | Coronavirus Infections NIH | 0.03 |
Name (Synonyms) | Correlation |
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There are 2 clinical trials
This trial will estimate the efficacy and tolerance of several experimental treatments to prevent hospitalization or death in outpatients aged 65 years or above with Symptomatic SARS-CoV-2 Infection (COVID-19).
Description: Proportion of participants with an occurrence of death
Measure: Death Time: From inclusion (day0) to day 14Description: Proportion of deaths, overall and by cause, in each group
Measure: Death and causes of death Time: From inclusion (day0) to day 28Description: Evolution of Haematological markers in each group : Complete Blood Count, prothrombin level, INR
Measure: Haematological markers evolution Time: from inclusion (day 0) to day 7 and day 14Description: Evolution of Biochemical markers in each group : ferritin, serum creatinine, urea, sodium, potassium, chlorine, calcium, magnesium, albumin, bicarbonates / tCO2, LDH, CPK, ASAT, ALAT, uricemia
Measure: Biochemical markers evolution Time: from inclusion (day 0) to day 7 and day 14Description: Evolution of Inflammatory markers in each group : PCT, CRP
Measure: Inflammatory markers evolution Time: from inclusion (day 0) to day 7 and day 14Description: Evolution of immunological markers in each group : B ans T Cells phenotypic profiles
Measure: Immunological markers evolution Time: from inclusion (day 0) to day 7 and day 14Description: Number and proportion of grade 1,2,3,4 adverse events in each group
Measure: Adverse events Time: from inclusion (day 0) to day 14Description: Number and proportion of grade 1,2,3,4 adverse events in each group
Measure: Adverse reactions Time: from inclusion (day 0) to day 14Description: Plasma concentration of the study drugs at D7
Measure: Plasma concentration Time: day 7Description: Acceptability of the treatment by participant will be assessed with an interview
Measure: Acceptability of the treatment Time: from inclusion (day 0) to day 10In November 2019, Wuhan city in China, became the center of an outbreak of pneumonia due to a novel coronavirus SARS-CoV-2, which disease was named coronavirus disease 2019 (COVID19) in February, 2020. The COVID19 is much more dangerous for people over 60 with a death rate of 3.6% after 60, 8.0% after 70 and 14.8% after 80 -and according to our Italian colleagues over 20% after 90- against 2.3% in the general population. The elderly patients who died most often had multiple comorbidities and in particular: cardiovascular disease (10.5% mortality), diabetes (7.3%), chronic respiratory disease (6.3%) and hypertension (6%). These elderly patients with COVID19 are therefore very fragile and require treatment that fights the virus but is also adapted to their state of health and age. Most of current therapeutic trials worldwide exclude people aged over 75 years, which is precisely the age group affected by COVID19. We therefore propose to carry out a therapeutic trial specific to the elderly with drugs at doses that are bearable for these patients. Using the WHO, clinicaltrial, pubmed and the Chinese CCDC/CHCTR websites to find the better drugs adapted to elderly people, we decided after concertation between infectiologists and geriatricians to do a four arms clinical trial during two weeks twice a day: Hydroxychloroquine 200mg, Telmisartan 40mg, Azithromycin 250mg and standard care. We therefore hypothesize that one or more of these treatments may have a beneficial effect in controlling COVID19, without major and repeated side effects in elderly patients.