Effectiveness and Safety of Favipiravir Compared to Hydroxychloroquine for Management of Covid-19: A Retrospective Study.

BACKGROUND: Coronavirus disease (COVID-19) is an infectious disease due to SARS-COV-2. Patients with risk factors are vulnerable to severe morbidity and mortality. Favipiravir (FPV) and hydroxychloroquine (HCQ) are considered possible COVID-19 treatments.
OBJECTIVE: To investigate the effectiveness and safety of FPV compared to HCQ in patients with COVID-19 as the standard of care approved by the national protocol there.
METHODS: This is a retrospective cohort study on patients with COVID-19 who were administered either FPV or HCQ at King Faisal Medical Complex, Taif, Saudi Arabia, from June 2020 to August 2020.
RESULTS: In total, 508 patients were included in the analysis. Patients were categorized into three groups by medication. Patients enrolled in this study were 244 (55.8%) on FPV, 193 (44.2%) on HCQ and 71 (13.81%) on neither medication. Patients who received FPV had higher age and greater comorbidity. Most of the patients were discharged on day 14 (n = 303, 59.6%), 26 (36.6%) in neither med, 154 (63.1%) in FPV and 123 (63.7%) in HCQ groups with significant difference between groups (P < 0.0001). Mortality rate was 8.2% (n = 20) in FPV and 7.3% (n = 14) in HCQ groups with significant difference between groups (P = 0.048). Regarding drug safety, 19.7% of patients treated with FPV vs 7.8% HCQ have adverse effects with significant difference between groups (P < 0.0001). Most of the side effects were increase ALT and AST. Meanwhile, prolonged Q-T interval was reported only in the HCQ group (2.6%). From Cox regression modeling, only mechanical ventilation due to Covid 19 was predictive for mortality (HR: 16.598, 95% CI: 7.095-38.828, P < 0.0001). Meanwhile, there was no significant difference in the prediction of discharge of FPV (vs HCQ) (HR: 0.933, 95% CI: 0.729-1.195, P = 0.5843), predictors of mortality were HCQ (vs FPV) (HR: 2.3, 95% CI: 0.994-5.487, P = 0.0518). Kaplan-Meier survival curves showed improved survival time and discharged time among patients in the HCQ versus FPV group with an insignificant difference between them (P = 0.85, P = 0.06, respectively).
CONCLUSION: The present study concluded that FPV and HCQ showed comparable efficacy in decrease mortality and oxygen requirements. FPV likely has a more favorable safety profile regarding cardiac toxicity. A randomized clinical trial with large patient numbers is recommended to confirm the effectiveness of these drugs in COVID-19 patients.

Introduction

The World Health Organization approved coronavirus disease 2019 (COVID-19), a global pandemic on March 11th, 2019, resulting in millions of deaths. However, health authorities worldwide have officially authorized no therapy as a standard treatment agent for the virus. Therefore, health authorities around the world proposed several agents to be used in COVID-19 management. These agents include, for example, hydroxychloroquine (HCQ)/chloroquine, remdesivir, tocilizumab, prednisolone, and ivermectin. Unfortunately, many of these agents showed partial effectiveness but had many adverse effects.1–3 Furthermore, several of these medications were found to be at unacceptable levels in COVID-19 patients, particularly those with diabetes, hypertension, cardiovascular disease, renal failure, liver cirrhosis, stroke, and other co-morbidities.4 Furthermore, six additional Coronaviridae family members were known to produce infections in humans before discovering SARS-CoV-2, including the SARS-CoV infection, which was first reported in 2002, and the Middle East Respiratory Syndrome (MERS)-CoV infection, which was first reported in 2012. Because the genome sequence of SARS-CoV-2 shares about 75–80% similarity with SARS-CoV, and even more so with some bat coronaviruses, significant effort is being put into testing the efficacy of existing antiviral drugs for SARS-CoV-2 infection treatment, including those that are effective in other viral infections, such as ribavirin, lopinavir (ritonavir), and interferon.5 Hence, it is crucial to find safe and effective treatment options for this disease.

The utilization of chloroquine in COVID-19 patients became standard treatment6 after it was found to diminish infection in human cells7 and pose a favorable action on viral clearance and clinical outcome in a clinical trial. Following these findings, a group of regulatory experts and governments proved that chloroquine had anti-COVID-19 concrete action. The drug was included in the National Health Commission of the People’s Republic of China’s Republic guidelines for preventing, diagnosing, and therapy COVID-19-related pneumonia.8 One option to treat the novel COVID-19 virus is favipiravir (FPV), an RNA-dependent RNA polymerase (RdRp) inhibitor. It blocks the replication process by inhibiting the influenza virus’s RdRp by adversely acting on genetic copying. It was approved by Japan Pharmaceuticals and Medical Devices Agency (PMDA) in 2014 as an antiviral for influenza. FPV has been included in COVID-19 treatment protocols after it showed promising results.9,10 However, few studies have been reported supporting FPV use for COVID-19 therapy. The Saudi Ministry of Health protocol for patients with confirmed COVID-19 added FPV for COVID-19 management.11

This study aimed to investigate the effectiveness and safety of FPV compared to hydroxychloroquine in patients with COVID-19 as the standard of care approved by the national protocol there.

Materials and Methods

Research Design and Population

The present retrospective cohort study was implemented at King Faisal Medical Complex in Taif, Saudi Arabia, from June 2020 to August 2020. King Faisal Medical Complex provided access authorization to the hospital electronic medical records through Taif Research and Ethics Committee (Approval # HAP-02-T-67) that was according to Declaration of Helsinki. Informed consent was waived as this was considered an exempt study. Health information was maintained in a confidential manner that prevents unauthorized use and disclosure to third parties. Included in this study were adult patients (≥18 years) with a verified PCR diagnosis of COVID-19. Excluded from this study were pregnant, breastfeeding females, or patients <18 years.

According to MOH protocols,11 patients were classified into three groups: 1) FPV group: treated with FPV at a dose of 1800 mg/dose twice daily on the first day then 800 mg/dose two times daily for 7–10 days. 2) HCQ group: treated with HCQ at 400 mg/dose twice daily on the first day, then 200 mg/dose two times daily for 5–7 days. 3) and neither medications group.

Baseline Information Collection

Patients’ information was gathered from medical records under the supervision of a competent medical professional. These data were demographic characteristics, comorbidities; vital signs; symptoms. As well as patient location (ward or intensive care unit [ICU]); type of respiratory support. The treatment impact on the outcomes was reported as mortality rate, discharge at day 14, the adverse event of treatments.

Statistical Analysis

Data were analyzed utilizing SPSS software version 26 (IBM SPSS Statistics for Windows, version 26, IBM Corp., Armonk, N.Y., USA) and SAS (version 9.4) software. Kolmogorov–Smirnov test was used to check for the normality of data distributions. Continuous variables with normal distribution were presented as mean ± (standard deviation [SD]); non-normal variables were reported as median (interquartile range [IQR]). A comparison of parametric data was made using the Kruskal Wallis test. Categorical data were compared using the Person Chi-Square test and Fisher exact test as appropriate. Multivariable Cox regression models and Kaplan–Meier survival curves evaluated hospital stay duration and survival between groups. Statistical significance was defined as a P-value of less than 0.05.

Results

Comparison of Demographic Characteristics of Patients According to Therapy Used

In this study, 508 COVID-19 patients were enrolled. Of them, 244 patients received FPV, 193 patients received HCQ, 71 patients did not receive either med. There was a significant difference between the mean of the age in different treatment groups (P <0.0001, Table 1). The mean age was highest in the FPV group (54.80±14.87 years), then the HCQ group (49.59±12.63 years) and least in neither med group (41.67±16.61 years). In all the patients, age groups were mostly ≤ 65 years (n= 431, 84.8%) than > 65 years (n=77, 15.2%). There was a significant difference between age groups in different studied groups of patients (P <0.0001). In neither med, FPV and HCQ groups, the proportion of males (64.8%, 62.3% and 56.0%, respectively) were higher than females (35.2%, 37.7%, and 44.0%, respectively) with insignificant difference between groups (P =0.284). In this study, 55.5% (n= 282) of patients have a history of diseases (comorbidities). There was a significant difference between groups (P <0.0001) in terms of comorbidities. Comorbidities were highest in the FPV group (66.4%), followed by the HCQ group (50.3%), and least in the med group (32.4%). In neither med, FPV and HCQ groups, the percentage of patients with diabetes mellitus were (8.5%, 43.0% and 29.0%; P <0.0001), hypertension (18.3%, 28.3% and 18.1%; P =0.026), asthma (1.4%, 5.7% and 7.8%; P =0.149), hypothyroidism (2.8%, 7.0% and 4.1%; P =0.256). Meanwhile, patients in FPV and HCQ groups only had heart diseases (10.7% and 4.1%; P =0.001) and obesity (4.1% and 2.1%; P =0.136) (Table 1).

Table 1

Comparison of Demographic Characteristics of Patients According to Therapy Used

Characteristics	Total (n=508)	Neither Med (n=71)	Favipiravir (n=244)	Hydroxychloroquine (n=193)	Significance
Age (years) Mean± SD	51.00±14.96 (18.00–105.00)	41.67±16.61 (18.00–105.00)	54.80±14.87 (24.00–97.00)	49.59±12.63 (18.00–88.00)	0.0001*
Median (25–75 IQR)	51.00 (40.00–61.00)	38.00 (28.00–51.00)	54.00 (45.00–65.00)	49.00 (41.00–57.00)
Gender					0.284
Male	306 (60.2%)	46 (64.8%)	152 (62.3%)	108 (56.0%)
Female	202 (39.8%)	25 (35.2%)	92 (37.7%)	85 (44.0%)
Comorbidity					0.0001*
No	226 (44.5%)	48 (67.6%)	82 (33.6%)	96 (49.7%)
Yes	282 (55.5%)	23 (32.4%)	162 (66.4%)	97 (50.3%)
Diabetes mellitus	167(32.9%)	6 (8.5%)	105 (43.0%)	56 (29.0%)	0.0001*
Hypertension	117 (23.0%)	13 (18.3%)	69 (28.3%)	35 (18.1%)	0.026
Heart diseases	34 (6.7%)	–	26 (10.7%)	8 (4.1%)	0.001*
Asthma	30 (5.9%)	1 (1.4%)	14 (5.7%)	15 (7.8%)	0.149
Hypothyroidism	27 (5.3%)	2 (2.8%)	17 (7.0%)	8 (4.1%)	0.256
Obese	14 (2.8%)	–	10 (4.1%)	4 (2.1%)	0.136

Notes: Data were expressed as mean ± standard deviation (minimum-maximum) and median (25–75 IQR or number (%) as appropriate. A comparison of parametric data was made using the Kruskal Wallis test. Comparison of categorized data was made using Pearson Chi-Square or Fisher Extract test as appropriate. *Significance at < 0.05.

Comparison of Clinical Characteristics of Patients According to Therapy

Table 2 shows a comparison of clinical characteristics of patients between groups. In all groups, the manifestations of COVID-19 were mostly cough (83.7%), then fever (69.9%), low oxygen saturation (66.1%), shorting of breath (54.3%), headache (23.6%), running nose (4.3%), diarrhea (2.6%) and vomiting (1.7%). In neither med, FPV and HCQ groups, the percentage of patients with cough were (69.0%, 82.4% and 90.7%, P <0.0001), fever (46.5%, 72.5% and 75.1%, P <0.0001), low oxygen saturation (12.7%, 72.1% and 78.2%, P <0.0001), shorting of breath (7.0%, 59.8% and 64.8%, P <0.0001), headache (84.5%, 14.8% and 12.4%, P <0.0001) and diarrhea (4.2%, 3.7% and 0.5%, P =0.072). Meanwhile, in neither med and HCQ groups only running nose was observed (29.6%and 0.5%, P <0.0001), and in neither med and FPV groups, only vomiting was observed (8.5% and 0.4%, P <0.0001).

Table 2

Comparison of Clinical Characteristics of Patients According to Therapy

Characteristics	Total (n=508)	Neither Med (n=71)	Favipiravir (n=244)	Hydroxychloroquine (n=193)	Significance
Symptoms (n, %)
Cough	425 (83.7%)	49 (69.0%)	201 (82.4%)	175 (90.7%)	0.0001*
Fever	355 (69.9%)	33 (46.5%)	177 (72.5%)	145 (75.1%)	0.0001*
Low oxygen saturation	336 (66.1%)	9 (12.7%)	176 (72.1%)	151 (78.2%)	0.0001*
Shorting of breath	276 (54.3%)	5 (7.0%)	146 (59.8%)	125 (64.8%)	0.0001*
Headache	120 (23.6%)	60 (84.5%)	36 (14.8%)	24 (12.4%)	0.0001*
Running nose	22 (4.3%)	21 (29.6%)	–	1 (0.5%)	0.0001*
Diarrhea	13 (2.6%)	3 (4.2%)	9 (3.7%)	1 (0.5%)	0.072
Vomiting	7 (1.4%)	6 (8.5%)	1 (0.4%)	–	0.0001*
Respiratory support (n, %)					0.0001*
No oxygen	112 (22.0%)	34 (47.9%)	44 (18.0%)	34 (17.6%)
Oxygen only	370 (72.8%)	37 (52.1%	179 (73.4%)	154 (79.8%)
Mechanical ventilation	26 (5.1%)	–	21 (8.6%)	5 (2.6%)
Patient location (n, %)					0.002*
Ward	462 (90.9%)	70 (98.6%)	211 (86.5%)	181 (93.8%)
ICU	46 (9.1%)	1 (1.4%)	33 (13.5%)	12 (6.2%)

Notes: Data were expressed as number (%) as appropriate. Comparison of categorized data was made using Pearson Chi-Square or Fisher Extract test as appropriate. *Significance at < 0.05.

Regarding respiratory support, most patients were on oxygen only (72.8%), then on no oxygen (22.0%) and least was on mechanical ventilation (5.1%). The percentage of patients in neither med, FPV, and HCQ groups on no oxygen were (47.9%, 18.0%, and 17.6%, respectively). Those who received oxygen only (52.1%, 73.4%, and 79.8%, respectively) and those on mechanical ventilation were in FPV and HCQ groups only (9.5% and 2.8%, respectively) with significant differences between groups (P <0.0001). Most of the patients were in Ward (90.9%, n= 462), while only 9.1% (n=46) were admitted to ICU. The patients in Ward and ICU in neither med group were (98.6% and 1.4%), FPV treated group (86.5% and 13.5%), and in HCQ treated group (93.8% and 6.2%) with significant difference between groups (P =0.002), (Table 2).

Comparison of Clinical Outcomes According to Therapy

Table 3 shows the outcomes of patients in different treatment groups. Most of the patients discharge at the end of treatment (n= 303, 59.6%), 26 (36.6%) in neither med, 154 (63.1%) in FPV and 123 (63.7%) in HCQ groups with significant differences between groups (P <0.0001). The number of patients transfer to ICU were 4 (5.8%) in neither med, 9 (4.3%) in FPV and 11 (6.0%) in HCQ groups with no significant difference between groups (P =0.715). There was a significant difference in mortality between groups (P =0.048). Mortality rate was 8.2% (n=20) in FPV and 7.3% (n=14) in HCQ groups. (Table 3).

Table 3

Comparison of Clinical Outcomes According to Therapy

Characteristics	Total (n=508)	Neither Med (n=71)	Favipiravir (n=244)	Hydroxychloroquine (n=193)	Significance
Discharge at day 14					0.0001*
Yes	303 (59.6%)	26 (36.6%)	154 (63.1%)	123 (63.7%)
No	205 (40.4%)	45 (63.4%)	90 (36.9%)	70 (36.3%)
Transfer to ICU					0.715
Yes	24 (5.2%)	4 (5.8%)	9 (4.3%)	11 (6.0%)
No	439 (94.8%)	65 (94.2%)	202(95.7%)	172 (94.0%)
Death					0.048*
Yes	34 (6.7%)	–	20 (8.2%)	14 (7.3%)
No	474 (93.3%)	71 (100.0%)	224 (91.8%)	179 (92.7%)

Notes: Data were expressed as number (%) as appropriate. Comparison of categorized data was made using Pearson Chi-Square or Fisher Extract test as appropriate. *Significance at < 0.05.

Multivariable Cox Regression Model for Mortality and Discharge Prediction

In the multivariable Cox regression model 1 of mortality prediction utilizing the patient group-administered FPV as a reference, therapy with HCQ (vs FPV) (HR: 2.3,95% CI: 0.994–5.487, P =0.0518) not find statistical significance. Only mechanical ventilation due to Covid 19 was predictive for mortality (HR: 16.598, 95% CI: 7.095–38.828, P <0.0001). While other factors were not predictor for mortality in that model as age >65 years (HR: 0.898, 95% CI: 0.321–2.517, P =0.8386), female gender (HR: 0.762, 95% CI: 0.310–1.870, P =0.5523) and comorbidity (HR: 2.159, 95% CI: 0.834–5.592, P =0.1129).

Multivariable for discharge prediction in model 2 revealed significantly high risk of extended hospitalization were neither med versus HCQ (HR: 0.540, 95% CI: 0.350–0.834, P =0.0054), age > 65 years (HR: 0.630, 95% CI: 0.438–0.906, P =0.0126) and mechanical ventilation (HR: 0.095, 95% CI: 0.023–0.380, P =0.0009). In contrast, there was no significant difference in prediction of discharge of FPV (vs HCQ) (HR: 0.933, 95% CI: 0.729–1.195, P =0.5843), female gender (HR: 1.182, 95% CI: 0.933–1.497, P =0.1670) and comorbidity (HR: 0.878, 95% CI: 0.689–1.118, P =0.2908) (Table 4).

Table 4

Multivariable Cox Regression Model for Mortality and Discharge Prediction

Parameters	P-value	Hazard Ratio	95% Hazard Ratio Confidence Limits
Model 1: Multivariable for mortality prediction.
Hydroxychloroquine (vs Favipiravir)	0.0518	2.335	0.994–5.487
Age > 65 years	0.8386	0.898	0.321–2.517
Female gender	0.5523	0.762	0.310–1.870
Mechanical ventilation	<0.0001*	16.598	7.095–38.828
Comorbidity	0.1129	2.159	0.834–5.592
Model 2: Multivariable for discharge prediction.
Favipiravir (vs Hydroxychloroquine)	0.5843	0.933	0.729–1.195
Neither Med (vs Hydroxychloroquine)	0.0054*	0.540	0.350–0.834
Age > 65 years	0.0126*	0.630	0.438–0.906
Female gender	0.1670	1.182	0.933–1.497
Mechanical ventilation	0.0009*	0.094	0.023–0.380
Comorbidity	0.2908	0.878	0.689–1.118

Note: *Significance at < 0.05.

Comparison of Adverse Effects Between FPV and HCQ

The drugs’ adverse effects were significantly higher in FPV versus HCQ groups (19.7% versus 7.8%, P <0.0001). There was a significant increase in FPV versus HCQ groups in ALT level (13.9% and 2.6%, P <0.0001) and AST level (8.6% and 1.0%, P <0.0001). Meanwhile, there were no significant difference in FPV versus HCQ groups in vomiting (2.9% and 2.1%, P =0.418), nausea (1.6% and 1.6%, P =0.627), diarrhea (1.6% and 1.0%, P =0.458). Prolonged Q-T interval was reported only in the HCQ group (2.6%). Patients stop the medication due to adverse effects were 4 (1.8%) in FPV and 4 (2.1%) in HCQ groups with no significant difference between groups (P =0.504) (Table 5).

Table 5

Comparison of Adverse Effects Between Favipiravir and Hydroxychloroquine

Adverse Effects	Favipiravir (n=244)	Hydroxychloroquine (n=193)	Significance
No	196 (80.3%)	178 (92.2%)	0.0001*
Yes	48 (19.7%)	15 (7.8%)
Increased ALT	34 (13.9%)	5 (2.6%)	0.0001*
Increased AST	21 (8.6%)	2 (1.0%)	0.0001*
Vomiting	7 (2.9%)	4 (2.1%)	0.418
Nausea	4 (1.6%)	3 (1.6%)	0.627
Diarrhea	4 (1.6%)	2 (1.0%)	0.458
Prolonged Q-T interval	-	5 (2.6%)	0.016*
Patients stop medications because of adverse effects
Yes	4 (1.8%)	4 (2.1%)	0.504
No	240 (98.4%)	189 (97.9%)

Notes: Data were expressed as numbers (%). Comparison of categorized data was made using Pearson Chi-Square or Fisher Extract test as appropriate. *Significance at < 0.05.

Kaplan-Meier Survival Curves Among All Patient Treatment Groups

Kaplan–Meier survival curves revealed improved survival between patients in HCQ therapy versus the FPV group (Figure 1). However, the mean survival time and standard error for the FPV group were 26.40±0.43 days, and for the HCQ group was 27.06±0.60 days with a non-significant difference between them (P =0.8554). Kaplan–Meier survival curves showed improved discharge time among patients in the HCQ versus FPV group (Figure 2). However, the mean discharge time and standard error for the FPV group was 16.64±0.63 days, and for the HCQ group was 14.051±0.63 days, with an insignificant difference between them (P =0.060).

Figure 1

Kaplan-Meier survival curves among treatment two groups.

Figure 2

Kaplan-Meier discharge probability curves among two groups.

Discussion

The need for safe and efficient treatment options continues to be the main point of clinical research despite the advent of COVID-19 vaccines. Before the pandemic, scientists postulated that HCQ interacted with the virus, and in vitro evidence indicated an antiviral effect.9,12

FPV is an RNA-dependent RNA polymerase inhibitor promoted in China and Japan to treat influenza outbreaks.13 Therefore, there was a considerable need for diverse research testing its efficacy and safety in such a setting, based on the limited published evidence about its usage in COVID-19 treatment. So that, the current retrospective cohort research aimed to study FPV’s effectiveness and safety in managing COVID-19 cases in Saudi Arabia.

The first clinical study of FPV was non-randomized interventional research consisting of 80 cases with non-severe COVID-19 compared FPV to lopinavir/ritonavir and found that the FPV group improved viral clearance on day 7, indicating that FPV could be useful in the treatment of COVID-19. At day 14, FPV patients showed improved chest CT scans 32/35 (91.43%) versus lopinavir/ritonavir patients 28/45 (62.22%) (p=0.004).10 Moreover, Rattanaumpawan et al14 reported retrospective research included 274 COVID-19 cases admitted to 5 Thai hospitals, of whom 63 (23.0%) got FPV. About all cases were prescribed HCQ-based drug (98.4%) and a protease inhibitor (96.8%) within two days of starting FPV treatment; half of the cases were given azithromycin (49.2%). The research showed that FPV is successful in treating COVID-19 patients.

In demographic data, most of the patients were men in the FPV group (60.2%) and HCQ group (62.3%), with insignificant differences between groups. Above 60% of men also showed in another study.15 FPV is mainly received by the middle-aged group, like in other studies.15,16 Comorbidities like hypertension, diabetes mellitus, and heart disease were manifested in both groups (FPV group and HCQ group). Researchers also found these comorbidities around the world in COVID-19 patients.15,17 In the current study, the main symptoms and signs reported in the two groups were cough, fever, low oxygen saturation, and shortness of breath. They were reported more frequently in the HCQ than the FPV group, and the difference was significant. Similarly, a study in the Third People’s Hospital of Shenzhen examined clinical results in people with COVID-19 treated with FPV and those treated with LPV-RTV. They found that patients treated with FPV recovered faster, and the symptoms and signs of both groups showed more recovery in the FPV group than in the LPV-RTV group.10

This study examined whether FPV improved COVID-19 patients’ clinical outcomes in terms of time to discharge and mortality compared to HCQ treatment. In the current study, the mortality rate in the FPV group (8.2%) was higher versus patients in the HCQ group (7.3%). Also, hospital stays of more than 14 days were significantly highest in neither medication (63.4%) then FPV (36.9%) and lastly HCQ (36.3%) (P<0.0001). In France, Lagier et al18 reported that therapy with HCQ and azithromycin decreased hospital stay duration, risk of ICU transfer, and deaths in COVID-19 cases. However, in the present study, ICU admission with FPV group (4.3%) compared to (6%) HCQ group with not statistically significant (p=0.715). Similarly, Guner et al compared the ICU admission rate of mild/moderate COVID-19 patients treated with HCQ, FPV, or HCQ plus FPV in the hospital setting study. They discovered no statistically significant difference in ICU admissions between the HCQ and HCQ plus FPV categories.19

In the present study, the Kaplan-Meier survival curve showed better survival analysis with the enhanced survival persisting out to 30 days from admission and improved discharge time among patients in HCQ treated group, with an insignificant difference with the FPV treated group. In addition, Udwadia et al reported that Kaplan–Meier analyses of time to clinical cure exhibited significant improvement in time to clinical cure, suggests FPV may be beneficial in mild-to-moderate COVID-19.20

In the present study, the Cox regression model for mortality prediction revealed that mechanical ventilation was predictive for mortality. Patients on mechanical ventilation had about 13 times more risk of death than others who did not receive mechanical ventilation. Numerous studies have been published in the literature that examine mortality as an outcome for patients undergoing mechanical ventilation.21,22

In the present study, the Cox regression model for discharge prediction showed that patients who prescribed neither medication had a significantly high risk of extended hospitalization after 30 days than those prescribed HCQ. In contrast, there was no significant difference between those who received FPV and those who received HCQ. Cox regression of the risk factors for discharge prediction revealed age >65 years and mechanical ventilation significantly high risk of extended hospitalization. According to a report conducted by Thai et al23 the average length of stay in the hospital was 21 days. The multivariable Cox regression model demonstrates that prolonged hospital stays are significantly correlated with age, residency, and source of contamination.

In the current study, the most adverse effects of FPV were increasing ALT and AST, mild to moderate diarrhea, nausea, and vomiting, as reported by others.24 In addition, the most often reported adverse events of FPV were gastrointestinal disturbances, uric acid elevations, neutrophil count decreased, ALT and AST elevations, psychological symptom reactions, and blood triglyceride elevations.25 Also, Cai et al10 reported a clinical trial in COVID-19 cases administered FPV. Adverse effects were observed in 11.4% of cases (4/35); two had diarrhea, one had liver disorders, and one had decreased appetite. Madelain et al24 could explain that FPV is primarily metabolized in the liver by the aldehyde oxidase enzyme and metabolizes a small portion by xanthine oxidase.

Significant QT prolongation was observed in COVID19 patients treated with HCQ, a key finding in this study. However, this did not appear in patients who were given FPV. Only two small observational studies have reported associations between HCQ doses of 200–400 mg daily and QT prolongation.26,27 Also, Çap et al reported that in the ECG recordings received in the following days after the treatment was started in COVID-19 patients, there was a significant prolongation in the QT interval with HCQ, but there was no significant change with FPV.28 Moreover, the effect of FPV on the QT interval in healthy adults was evaluated in a small-scale study (56 participants) in Japan. Patients were randomly assigned to receive 1200 mg FPV, 2400 mg FPV, moxifloxacin, or a placebo. On ECG images obtained three and six hours after FPV administration, no significant QT interval prolongation was observed.29

Due to the retrospective nature of our study, the pandemic, and the need for a rapid response with effective treatment options, clinicians initially utilized FPV and HCQ without collecting some baseline data, such as C-reactive protein (CRP), D-dimer, and lymphocyte count, that may have affected treatment allocation. Moreover, the current study has other limitations in that it only included hospitalized individuals in Taif province. Therefore results may not apply to different areas in the Kingdom. In addition, only one HCQ and FPV dosing regimen were investigated; multiple doses for safety evaluation are indicated.

Conclusions

The present study concluded that FPV and HCQ showed comparable efficacy in decrease mortality and oxygen requirements. Interestingly, FPV exhibited no prolonged Q-T interval, although there was a significant comorbidities association, especially heart disease, compared to the HCQ. A big RCT is required to validate or contradict our findings.