3.1 Demographic profile
In total, n = 90 were enrolled for this study. The subjects were divided into Moderate Patients Group (MPG: n = 35; median = 52.0 years old, min = 18.0, max = 75.0, 10 (28.57 %) female) and Severe Patients Group (SPG: n = 49; median = 51 years old, min = 18.0, max = 71.0, 7 (14.28 %) female), p- Value > 0.05. Table 1 shows the demographic profile and descriptions of comorbidity for booth group.
Table 1
Demographic Profile of patients with COVID-19 who received full treatment (two doses) with Equine Serum
Variables
|
COVID-19 Moderate Patients
w/2 doses of ES
N=35
|
COVID-19 Severe Patients
w/2 doses of ES
N=49
|
p Value
|
Median age (in years)
|
52
|
51
|
NS
|
Interquartile Range (IQR)
|
[IQR25: 43; IQR75: 60]
|
[IQR25: 39; IQR75: 61]
|
|
Gender (n (%))
|
|
|
|
Male
|
25 (71.43 %)
|
42 (85.71 %)
|
NS
|
Female
|
10 (28.57 %)
|
7 (14.28 %)
|
NS
|
Weight (in Kg)
|
83
|
85
|
NS
|
Interquartile Range (IQR)
|
[IQR25: 75; IQR75: 98]
|
[IQR25: 77; IQR75: 98]
|
|
Height (in m)
|
1.70
|
1.70
|
NS
|
Interquartile Range (IQR)
|
[IQR25: 1.60; IQR75: 1.75]
|
[IQR25: 1.68; IQR75: 1.75]
|
|
BMI
|
29.3
|
29.1
|
NS
|
Interquartile Range (IQR)
|
[IQR25: 26; IQR75: 33.2]
|
[IQR25: 26.1; IQR75: 33.9]
|
|
Comorbidity (n (%))
|
27 (77.14 %)
|
38 (80.85 %)
|
NS
|
There were no significant differences in baseline characteristics between the MPG (77.14%) and SPG (80.85%). From the patients who received 2 doses of equine serum, the following patients had some comorbidities: 79.3% (65/82), (p < 0.05).
3.2 Medical discharge: patient evolution at 21 days after enrolment.
Figure 2 shows that there were significant differences in medical discharge in MPG 91.4% (32/35) compared to SPG 55.3% (26/47) (p = 0.004). Being that the SPG 27.1% (13/47) died (p = 0.004).
Of the 8 patients who were severely hospitalized, 5 went to ARM, of which 2 died.
The distribution of comorbidities associated with each group is shown in Figure 3.
MPG 77.1% (27/35) and SPG 81.25% (39/47) had some comorbidity (p = 0.8). Figure 3A shown the following frequency of HTA, overweight and obesity, and DBT in the MPG relationship to SPG was observed; 66,7% (18/27): 55,3% (21/38); 29,6% (8/27) : 44,7% (17/38); and 40,7% (11/27) : 18,7% (7/35), respectively, however, this difference was not significant. Draw B (Figure 3) reports the comorbidities associated with the 13 deceased patients who received two doses of Equine Serum, 5 of them had more than one underlying disease.
3.3 Logistic regression
Bivariate analysis showed 8 times more chance of receiving medical release in MPG than SPG (OR = 8.69, 95%, 2.35-33.23, p-Value = 0.001). The presence of comorbidity decreases by 11% (OR <1) the chance of being discharged in patients with COVID-19 who received Equine Serum.
People with COVID-19 who were treated with Equine Serum and were in the ICU had 26% less chances (OR <1) of receiving Medical Discharge. The sex and age variables are independent in relation to the chance of receiving medical discharge (p> 0.05).
When the logistic regression model was adjusted for multivariate analysis, with the variable medical discharge as the response variable in relation to the variables group (moderate or severe), comorbidity, UTI, sex, and age, the MPG patients treated with Equine Serum had 9.33 times more likely to be discharged in relation to patients with severe COVID-19, controlling for other variables (Table 2).
Table 2
Multivariate analysis, with the medical discharge variable as a response in relation to other variables.
Variables
|
OR
|
IC95%
|
p-Value
|
MPG vs SPG
|
9.33
|
1.65
|
52.81
|
0.012
|
Comorbidity
|
0.10
|
0.01
|
0.89
|
0.039
|
ITU
|
1.11
|
0.19
|
6.25
|
0.9
|
Sex
|
0.62
|
0.13
|
2.84
|
0.53
|
Age
|
0.98
|
0.94
|
1.03
|
0.55
|
According to Table 2, the presence of comorbidity decreases the chance of medical discharge by 10% in people with COVID-19 who received Equine Serum, controlling for other variables (OR <1). People with COVID-19 who were treated with Equine Serum and were in ICU equalled their chances of receiving medical discharge when the comparison was made by the interaction of other variables. The sex and age variables are independent in relation to the chance of receiving medical discharge (p> 0.05), when they were treated in a comprehensive manner through interaction with other variables (p> 0.05).