The questionnaire captured 2341 individuals reported symptoms concerning for COVID-19 infection between May and July of 2020. In Table 1, we list some of the major characteristics of the population we surveyed. The most prevalent age group was 21–30 years old and 51.7% were male. A sum of 595 individuals reported having a chronic medical illness (25.4%). Obesity was the most reported chronic medical condition (233 respondents, 10%), followed by hypertension (7.7%) and diabetes (6.5%). Asthma was reported as a chronic illness by 54 (2.3%) respondents. As for substance use, we observed that 21.9% of the respondents reported tobacco usage, compared to 57.5% Gat usage.
Table 1
General Demographic Characteristics of the respondents.
Demographic Characteristic
|
n
|
%
|
Male gender
|
1,210
|
51.7%
|
Age group (Mode)
|
21–30
|
31.9%
|
Chronic diseases
|
595
|
25.4%
|
Diabetes Mellitus
|
151
|
6.5%
|
Hypertension
|
180
|
7.7%
|
Obesity
|
233
|
10.0%
|
Asthma
|
54
|
2.3%
|
Hospitalized
|
147
|
6.3%
|
Developed respiratory failure requiring supplemental O2 or mechanical ventilation
|
92
|
3.9%
|
We began our analysis by looking at the medication prescription patterns by age group and gender. Table 2 demonstrates the percentage of male patients receiving treatment was higher than females. It also shows the progressive tendency to receive treatment with increasing age (from 74.4% in children 10 years of age and younger to 94.7% for elderly age 71 and higher). The prescription percentage is certainly high, but the list of medications received includes many of the over-the-counter medications such as paracetamol (acetaminophen), vitamins, and zinc. When we look at the discrepancy between medication prescription in age, graph 1 shows that this discrepancy is seen among all age groups and it is most pronounced in early adulthood and middle age groups. The difference hovered around 7–10 percentage points. The widest gap of prescription intake between males and females was seen in the 61–70 Years age group (94.7% for males vs 84.4% for females).
Table 2
Prescription pattern by age group and gender
|
Medication count (%)
|
No meds count (%)
|
Total
|
Total
|
2087 (89.1%)
|
254 (10.9%)
|
2341
|
Female
|
977 (86.4%)
|
154 (13.6%)
|
1131
|
Male
|
1110 (91.7%)
|
100 (8.3%)
|
1210
|
1 Day − 10 Years
|
71 (74.7%)
|
24 (25.3%)
|
95
|
11–20 Years
|
199 (74.8%)
|
67 (25.2%)
|
266
|
21–30 Years
|
684 (91.7%)
|
62 (8.3%)
|
746
|
31–40 Years
|
590 (91.9%)
|
52 (8.1%)
|
642
|
41–50 Years
|
284 (92.8%)
|
22 (7.2%)
|
306
|
51–60 Years
|
149 (90.3%)
|
16 (9.7%)
|
165
|
61–70 Years
|
74 (89.2%)
|
9 (10.8%)
|
83
|
71 Years or older
|
36 (94.7%)
|
2 (5.3%)
|
38
|
Graph 1: Percentage of male patients receiving treatment vs female across age groups. (see Graph 1 in the Supplementary Files)
There were more than 30 different substances consumed therapeutically in our questionnaire (Table 3). They ranged from antibiotics and systemic steroids to vitamins and herbal remedies. We chose to focus on 7 treatment agents, which have had some data on their use as part of treatment for COVID-19. Those were: Hydroxychloroquine, Azithromycin, Vitamin C, Vitamin D, Zinc, Paracetamol, and systemic Corticosteroids.
Table 3
List of medications, supplements, herbs and food that was reported as part of a regimen to treat COVID-19 infections
Midications
|
Supplements
|
Herbs and food
|
Aspirin
Guaifenesin
Solpadine (Paracetamol + Codeine)
Cefaclor
Amoxicillin
Ceftriaxone
Levofloxacin
Ciprofloxacin
Antibiotic capsules
Fraxiparine
Enoxaparin
esomeprazole
|
Multivitamins
Vitamin B complex
Vitamin B12
Selenium
Omega 3
|
Honey
Black seed
Lemon
Lime
Clove
Costus
Ginger
Roselle
Onions
garlic
Fruits
Vegetables
|
We wanted to look at prescription patterns among folks who were not hospitalized, in comparison to those who were admitted to the hospital and those who developed respiratory failure requiring Oxygen supplementation or mechanical intubation. Table 4 shows what percentage of patients received each of these treatments in the 3 clinical categories. Vitamin C was the most prescribed treatment in our database and ranged between 62% for non-hospitalized patients to 74% for hospitalized patients. Azithromycin was the second most commonly used agent, with a significant increase of percentage receiving the treatment with increasing severity (32.1% for non-hospitalized, 57.1% for hospitalized, and 67.5% for patients with respiratory failure). Surprisingly, systemic corticosteroids and paracetamol were the least prescribed treatments, with only 192 individuals (8.2%) receiving paracetamol and only 19 individuals (0.8%) receiving systemic corticosteroids.
As for antibiotics other than hydroxychloroquine and azithromycin, the rate of prescription was surprisingly low. Only 31 participants (1.4%) who were not hospitalized received an antibiotic, 3 of the hospitalized patients, and 2 of the patients who developed respiratory failure (2.1%).
Except for paracetamol, all treatments were more commonly prescribed for hospitalized patients and patients with respiratory failure, compared to those who were not hospitalized. The likelihood of receiving those medications seemed to increase with increasing severity in general.
Table 4
Frequency of medication prescribing by hospitalization status and respiratory failure.
Medication
|
All
|
Outpatient (%)
|
Hospitalized (%)
|
Respiratory failure (%)
|
Hydroxychloroquine
|
140 (5.9%)
|
117 (5.3%)
|
23 (15.6%)
|
19 (24.7%)
|
Azithromycin
|
788 (33.7%)
|
704 (32.1%)
|
84 (57.1%)
|
52 (67.5%)
|
Vit C
|
1451 (62%)
|
1,361 (62.0%)
|
90 (61.2%)
|
57 (74.0%)
|
Vit D
|
767 (32.8%)
|
712 (32.5%)
|
55 (37.4%)
|
38 (49.4%)
|
Zinc
|
504 (21.5%)
|
464 (21.1%)
|
40 (27.2%)
|
35 (45.5%)
|
Paracetamol
|
189 (8.0%)
|
187 (8.5%)
|
2 (1.4%)
|
3 (3.9%)
|
Corticosteroids
|
19 (0.8%)
|
13 (0.5%)
|
2 (1.4%)
|
4 (5.2%)
|
Other antibiotics
|
34 (1.5%)
|
31 (1.4%)
|
3 (2.0%)
|
2 (2.1%)
|
During the time this survey was conducted, the use of Hydroxychloroquine was a common practice for treating COVID-19 infection as well as for prophylaxis around the world. At the same time, more data was coming out about the lack of efficacy. We looked at the frequency of Hydroxychloroquine use among our sample and how many of them continued using it after diagnosis. We also were able to report on how many were started on Hydroxychloroquine after diagnosis. Table 5 shows that 128 individuals (5.5%) were on Hydroxychloroquine prophylaxis prior to their diagnosis and only 18 of those patients (12.9%) continued using the agent. On the other hand, we found that 122 patients (5.2% of the study participants) were started on Hydroxychloroquine treatment after diagnosis. In total, 140 individuals reported receiving Hydroxychloroquine treatment for their COVID-19 infection (6% of the participants).
Table 5
Hydroxychloroquine prescribing before and after the diagnosis.
|
|
Was the patient on Hydroxychloroquine?
|
|
|
Yes (%→)
(%↓)
|
No (%→)
(%↓)
|
Total
|
Was the patient prescribed Hydroxychloroquine after diagnosis
|
Yes
|
18 (14.1%)
(12.9%)
|
122 (87.1%)
(5.5%)
|
140
|
No
|
110 (5.0%)
(85.9%)
|
2091 (95.0%)
(94.9%→)
|
2201
|
|
Total
|
128
|
2213
|
2341
|
Hydroxychloroquine. Finally, we looked at the most common combinations of treatment agents in our database. Table 5 summarizes our findings. We found that 20.7% of participants took medications other than the 7 treatments we looked at. Vitamin C was the most common single agent used in the whole database, with 16.2% of the participants receiving it therapeutically. 12.2% reported receiving no treatment. The most common combination was azithromycin with vitamin C, with 10.2% of participants receiving it. We noted 7.9% of participants receiving vitamins C and D and 7.8% reporting they took azithromycin, vitamins C & D, and Zinc. Vitamin C was used in the vast majority of the combinations (8 out of 12), with azithromycin and vitamin D in second place (5/12 for each). Vitamins C and D were the most occurring pain in the combinations observed. The observed combinations accounted for more than 99% of the combinations observed in this study.
Table 6: Most common medication combinations prescribed.