| Literature DB >> 28225767 |
Mandy Kader Konde1,2, Darren P Baker3, Fode Amara Traore4, Mamadou Saliou Sow4, Alioune Camara2, Alpha Amadou Barry2, Doussou Mara2, Abdoulaye Barry2, Moussa Cone2, Ibrahima Kaba4, Amento Ablam Richard2, Abdoul Habib Beavogui2, Stephan Günther5, Melania Pintilie6, Eleanor N Fish7,8.
Abstract
To date there are no approved antiviral drugs for the treatment of Ebola virus disease (EVD). Based on our in vitro evidence of antiviral activity of interferon (IFN)-ß activity against Ebola virus, we conducted a single arm clinical study in Guinea to evaluate the safety and therapeutic efficacy of IFN β-1a treatment for EVD. Nine individuals infected with Ebola virus were treated with IFN β-1a and compared retrospectively with a matched cohort of 21 infected patients receiving standardized supportive care only during the same time period at the same treatment unit. Cognizant of the limitations of having treated only 9 individuals with EVD, the data collected are cautiously considered. When compared to supportive care only, IFN β-1a treatment seemed to facilitate viral clearance from the blood and appeared associated with earlier resolution of disease symptoms. Survival, calculated from the date of consent for those in the trial and date of admission from those in the control cohort, to the date of death, was 19% for those receiving supportive care only, compared to 67% for those receiving supportive care plus IFN β-1a. Given the differences in baseline blood viremia between the control cohort and the IFN-treated cohort, an additional 17 controls were included for a subset analysis, from other treatment units in Guinea, matched with the IFN-treated patients based on age and baseline blood viremia. Subset analyses using this expanded control cohort suggests that patients without IFN β-1a treatment were ~ 1.5-1.9 fold more likely to die than those treated. Viewed altogether the results suggest a rationale for further clinical evaluation of IFN β-1a.Entities:
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Year: 2017 PMID: 28225767 PMCID: PMC5321269 DOI: 10.1371/journal.pone.0169255
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient characteristics.
| Variable | Type of summary | Control cohort n = 21 | IFN β-1a treated cohort n = 9 | p-value |
|---|---|---|---|---|
| Age (years) | median (range) | 35 (20–70) | 38 (18–50) | 0.41 |
| Sex | Female | 14 (66.7%) | 5 (55.6%) | 0.69 |
| Male | 7 (33.3%) | 4 (44.4%) | ||
| Days from symptom onset | median | 2 (0–5) | 2 (0–6) | 0.85 |
| CT 0 | Median (range) | 17.9 (14–26.5) | 22.1 (16.2–30.6) | 0.012 |
*one patient was asymptomatic at time of PCR confirmation of EVD
Characteristics of IFN β-1a treated patients.
| Patient | Age (years) | Sex | Days from symptom onset to 1st dose | Number of IFN doses | Total μg | CT0 value prior to 1st dose | Days from CT0 to 1st dose | Days from 1st IFN dose to 1st PCR negative | Outcome | |
|---|---|---|---|---|---|---|---|---|---|---|
| 30μg | 15μg | |||||||||
| IFN 01 | 50 | Female | 3 | 3 | - | 90 | 26.78 | 2 | n/a | deceased |
| IFN 02 | 18 | Male | 6 | 10 | - | 300 | 22.09 | 1 | 9 | alive |
| IFN 03 | 50 | Female | 4 | 2 | - | 60 | 16.17 | 1 | n/a | deceased |
| IFN 04 | 40 | Female | 3 | 3 | 2 | 120 | 30.61 | 1 | 2 | alive |
| IFN 05 | 38 | Female | 3 | 8 | 2 | 270 | 28.11 | 1 | 6 | alive |
| IFN 06 | 50 | Female | 3 | 10 | - | 300 | 24.13 | 1 | 9 | alive |
| IFN 07 | 20 | Male | 1 | 9 | - | 270 | 20.10 | 1 | n/a | deceased |
| IFN 08 | 18 | Male | 5 | 17 | - | 510 | 21.86 | 1 | 14 | alive |
| IFN 09 | 21 | Male | 3 | 13 | - | 390 | 21.25 | 1 | 10 | alive |
* patient asymptomatic when CT0 determined
Fig 1Enrollment and analysis flow diagram.
Fig 2IFN β-1a treatment effect on survival of patients with EVD.
Survival curves for patients with EVD receiving supportive care only (n = 21) (-----) or supportive care plus IFN β-1a treatment (n = 9) (-----). Survival was calculated from the date of consent for those receiving IFN β-1a treatment and date of admission for those in the control cohort, to the date of death. Survival plots were based on Kaplan-Meier estimates and the plots were compared using the log rank test (p = 0.026).
Fig 3Effect of IFN β-1a treatment on viral clearance from the blood.
Serial quantitative PCR CT (cycle threshold) values in venous blood samples from study participants that became PCR negative (survivors). * dose reduction due to elevated AST and ALT levels; ** dose reduction due to rapid resolution of EVD; ___ controls; ------IFN β-1a treated. inset: Fitted plots for CT values for each group.
Effects of IFN β-1a treatment on clinical symptoms of EVD.
| Symptom | Control patients OR (95% CI, p-value) n = 21 | IFN β-1a treated patients OR (95% CI, p-value) n = 9 | Difference of effect (interaction p value) |
|---|---|---|---|
| Headache am | 1.3(1.02–1.66,p = 0.034) | 0.84(0.61–1.16,p = 0.29) | 0.034 |
| Headache pm | 0.84(0.7–1,p = 0.044) | 0.87(0.63–1.21,p = 0.41) | 0.81 |
| Headache evening | 1.01(0.8–1.27,p = 0.96) | 0.83(0.58–1.18,p = 0.29) | 0.36 |
| Asthenia am | 1.13(0.92–1.4,p = 0.25) | 0.68(0.53–0.87,p = 0.0027) | 0.0023 |
| Asthenia pm | 1.07(0.9–1.27,p = 0.47) | 0.65(0.54–0.77,p = 1.5e-06) | 0.000076 |
| Asthenia evening | 0.98(0.84–1.14,p = 0.79) | 0.68(0.53–0.87,p = 0.0021) | 0.013 |
| Muscle pain am | 1.04(0.88–1.23,p = 0.66) | 0.92(0.77–1.11,p = 0.4) | 0.36 |
| Muscle pain pm | 0.92(0.79–1.07,p = 0.29) | 0.94(0.83–1.07,p = 0.35) | 0.81 |
| Muscle pain evening | 0.84(0.7–1,p = 0.056) | 0.98(0.71–1.36,p = 0.92) | 0.4 |
| Anorexia am | 1.12(0.94–1.33,p = 0.21) | 0.65(0.46–0.92,p = 0.016) | 0.0065 |
| Anorexia pm | 1.15(1.01–1.32,p = 0.038) | 0.8(0.7–0.91,p = 0.001) | 0.00016 |
| Anorexia evening | 1(0.86–1.17,p = 0.99) | 0.83(0.64–1.09,p = 0.18) | 0.25 |
| Nausea am | 1.01(0.73–1.39,p = 0.95) | 0.63(0.6–0.67,p = 0) | 0.0046 |
| Nausea pm | 0.81(0.66–1,p = 0.052) | 0.52(0.5–0.54,p = 0) | 0.000058 |
| Vomiting am | 1.04(0.88–1.23,p = 0.64) | 0.63(0.5–0.79,p = 6.1e-05) | 0.00042 |
| Vomiting pm | 0.82(0.7–0.95,p = 0.007) | 0.57(0.43–0.77,p = 2e-04) | 0.035 |
| Vomiting evening | 0.9(0.77–1.06,p = 0.22) | 0.81(0.63–1.05,p = 0.12) | 0.49 |
| Diarrhea am | 1.19(0.99–1.44,p = 0.067) | 0.59(0.45–0.77,p = 8e-05) | 0.00002 |
| Diarrhea pm | 1.01(0.86–1.2,p = 0.87) | 0.6(0.5–0.74,p = 5e-07) | 0.000085 |
| Diarrhea evening | 1.05(0.88–1.26,p = 0.57) | 0.57(0.49–0.66,p = 3e-13) | 0.00000025 |
| Dyspnea pm | 1.04(0.78–1.39,p = 0.77) | 1.35(0.87–2.1,p = 0.18) | 0.34 |
| Dyspnea evening | 1.05(0.85–1.29,p = 0.67) | 1.42(0.98–2.07,p = 0.064) | 0.16 |
| Cough am | 1.29(1.03–1.61,p = 0.027) | 0.88(0.79–0.99,p = 0.031) | 0.0033 |
| Cough pm | 1.21(0.87–1.69,p = 0.25) | 0.91(0.75–1.11,p = 0.36) | 0.14 |
| Cough evening | 1.28(0.97–1.7,p = 0.081) | 0.99(0.82–1.19,p = 0.9) | 0.13 |
| Thoracic pain am | 0.8(0.75–0.85,p = 1.8e-11) | 0.89(0.71–1.11,p = 0.31) | 0.36 |
| Thoracic pain pm | 0.55(0.32–0.95,p = 0.034) | 0.95(0.73–1.25,p = 0.74) | 0.079 |
| Vertigo evening | 0.8(0.35–1.83,p = 0.59) | 0.66(0.42–1.05,p = 0.08) | 0.71 |
| Abdominal pain am | 1.13(1–1.28,p = 0.055) | 0.49(0.41–0.59,p = 3.7e-15) | 5.2E-14 |
| Abdominal pain pm | 0.84(0.75–0.95,p = 0.0036) | 0.55(0.43–0.69,p = 7.8e-07) | 0.0013 |
| Abdominal pain evening | 0.99(0.86–1.14,p = 0.88) | 0.47(0.32–0.7,p = 0.00015) | 0.00046 |
| Dehydration evening | 1.08(0.95–1.23,p = 0.25) | 0.52(0.5–0.54,p = 0) | 0 |
| Hemorrage am | 1.08(0.88–1.33,p = 0.44) | 1.24(0.97–1.6,p = 0.089) | 0.41 |
| Hemorrage pm | 0.95(0.8–1.14,p = 0.61) | 1.25(0.99–1.57,p = 0.057) | 0.071 |
| Hemorrage evening | 0.99(0.72–1.36,p = 0.95) | 1.23(1.02–1.49,p = 0.035) | 0.25 |
| Epigastralgia am | 0.93(0.76–1.14,p = 0.48) | 0.74(0.6–0.91,p = 0.0048) | 0.13 |
| Epigastralgia pm | 0.99(0.82–1.19,p = 0.89) | 0.74(0.57–0.95,p = 0.018) | 0.069 |
| Epigastralgia evening | 0.78(0.58–1.06,p = 0.11) | 0.78(0.63–0.97,p = 0.024) | 0.99 |
| Arthralgia am | 1.03(0.84–1.27,p = 0.76) | 0.94(0.81–1.1,p = 0.46) | 0.49 |
| Arthralgia pm | 0.89(0.73–1.09,p = 0.26) | 1(0.86–1.17,p = 0.99) | 0.36 |
| Arthralgia evening | 0.98(0.82–1.19,p = 0.87) | 0.97(0.71–1.34,p = 0.86) | 0.94 |
Data were analyzed utilizing the gee model with logit link. i.e. a logistic regression was applied with the symptom (as binary) as the dependent variable and the treatment and time as covariates. Since there is more than one observation for each patient, the model also considered the possible correlations among the specified observation for the same patient (hence gee rather than a simple logistic model). The columns contain: the effect in the control arm, the effect in the IFN β-1a treated arm, and represent how the symptoms changed over time. If the OR was >1, then the frequency of the symptom increased over time, while if the OR was <1, the frequency of the symptom decreased over time. The last column contains the p-values when the OR for the historic controls was compared to the OR for the IFN-treated patients. These p-values indicate whether the changes in the symptom frequency over time differ between the two arms.
The highlighted values are significant after adjusting for multiplicity with the Hochberg’s approach. Breakdown of symptoms by time and treatment are provided in S4 Table.