| Literature DB >> 34545307 |
Salem Alsuwaidan1, Ziad A Memish1,2, Faisal Alaklobi3, Kholood Khan4, Hamdan N Alajami5.
Abstract
Hydroxychloroquine (HCQ) and chloroquine were found to have positive results in some non-randomized clinical trials with more benefit in decreasing the viral load of COVID-19. HCQ is a lysosomotropic and lipophilic drug that can penetrate cell membranes, and accumulates in the acidic lysosomes. The high concentration of alkaline HCQ increases the pH in lysosomes from the normal levels of 4.7-4.8 to 6 which leads to inhibition of lysosomes functions and thus, prevents the entry of coronavirus into cells.Entities:
Keywords: Area under the curve (AUC); COVID-19; Cough; Fever; Hydroxychloroquine; Shortness of breath
Year: 2021 PMID: 34545307 PMCID: PMC8444382 DOI: 10.1016/j.amsu.2021.102867
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Fig. 1Action profile for fever indicating the mean results of 102 subjects receiving HCQ, compared with 100 subjects with no HCQ. The two profiles (subjects with and without HQC) represented the fever from day 1 on going to day 5 as in “a” showed the average action profile for fever for five days, it also showed the linear relationship for both profiles including the equation used as a factor to calculate the AUC. The same conclusion for “b”, “c” and “d” for 7 days, 10 days and 14 days consequently.
Simple description for the demographic data representing number of participants receiving HCQ or not receiving HCO in each arm, their sex, average of age.
| Total n = 202 | With HCQ n = 102 | No HCQ n = 100 | ||||
|---|---|---|---|---|---|---|
| No. | Percentage | No. | Percentage | No. | Percentage | |
| Male | 126 | 62.4% | 75 | 73.5% | 51 | 51% |
| Female | 76 | 37.6% | 27 | 26.5% | 49 | 49% |
| Age | 48.5 ± (14.5 SD) | 48.56 ± (13.7 SD) | 48.46 ± (15.3 SD) | |||
Data representing the mean of Area Under the Curve for the action profiles for a group of subjects receiving hydroxychloroquine (HCQ) and another group not receiving HCQ; illustrating the mean data (for Fever AUC, Cough AUC, and Short of breath AUC) including standard error and standard deviation for the days 5, 7, 10 and day 14.
| With NO HCQ (n = 100) | With HCQ (n = 102) | ||||||
|---|---|---|---|---|---|---|---|
| Day | St. Err | St. Dev | St. Err | St. Dev | P value | ||
| FAUC5 | 0.01 | 0.08 | 0.03 | 0.26 | 0 | ||
| FAUC7 | 0.00 | 0.04 | 0.03 | 0.33 | 0 | ||
| FAUC10 | 0.01 | 0.13 | 0.17 | 1.73 | 0 | ||
| FAUC14 | 0.04 | 0.41 | 0.04 | 0.42 | 0.4041 | ||
| CAUC5 | 0.05 | 0.47 | 0.05 | 0.49 | 0.3306 | ||
| CAUC7 | 0.07 | 0.69 | 0.07 | 0.74 | 0.2241 | ||
| CAUC10 | 0.11 | 1.05 | 0.12 | 1.22 | 0.0647 | ||
| CAUC14 | 0.08 | 0.80 | 0.20 | 2.05 | 0 | ||
| SAUC5 | 0.05 | 0.47 | 0.05 | 0.54 | 0.059 | ||
| SAUC7 | 0.06 | 0.64 | 0.09 | 0.87 | 0.0015 | ||
| SAUC10 | 0.10 | 1.04 | 0.11 | 1.11 | 0.2572 | ||
| SAUC14 | 0.15 | 1.49 | 0.17 | 1.74 | 0.0584 | ||
Note: The number suffixed each AUC representing of the day number for 5,7,10,and 14.
while FAUC = Fever AUC; CAUC= Cough AUC; and SAUC = Short of Breath AUC.
Fig. 2Action profile for cough indicating the mean results of 102 subjects receiving HCQ, compared with 100 subjects with no HCQ. The two profiles (subjects with and without HQC) represented the cough severity from day 1 on going to day 5 as in “a” showed the average action profile for fever for five days, it also showed the linear relationship for both profiles including the equation used as a factor to calculate the AUC. The same conclusion for “b”, “c” and “d” for 7 days, 10 days and 14 days consequently.
Fig. 3Action profile for the Short of breath (SOB) indicating mean results of 102 subjects receiving HCQ, compared with 100 subjects with no HCQ. The two profiles (subjects with and without HQC) represented the SOB from day 1 on going to day 5 as in “a” showed the average action profile for fever for five days, it also showed the linear relationship for both profiles including the equation used as a factor to calculate the AUC. The same conclusion for “b”, “c” and “d” for 7 days, 10 days and 14 days consequently.
| Author contribution | Salem | Ziad | Faisal | Khlood | Hamdan |
|---|---|---|---|---|---|
| writing research prposal | ✓ | ✓ | ✓ | ✓ | ✓ |
| Patient recruitment | ✓ | ✓ | ✓ | ||
| Patient consenting | ✓ | ✓ | |||
| Data collection | ✓ | ✓ | ✓ | ||
| Data analysis | ✓ | ✓ | ✓ | ||
| Data interpretation | ✓ | ✓ | ✓ | ||
| Writing the manuscript | ✓ | ✓ | ✓ |