Literature DB >> 34815671

Safety of Chloroquine or Hydroxychloroquine Plus Azithromycin for the Treatment of COVID-19 Patients in Burkina Faso: An Observational Prospective Cohort Study.

Toussaint Rouamba1, Houreratou Barry2, Esperance Ouédraogo1, Marc Christian Tahita1, Nobila Valentin Yaméogo3, Armel Poda4, Arnaud Eric Diendéré5, Abdoul-Salam Ouedraogo4, Innocent Valea1, Amariane M Koné2, Cherileila Thiombiano2, Isidore Traoré2, Zekiba Tarnagda1, Serge A Sawadogo6, Zakaria Gansané7, Yibar Kambiré8, Idrissa Sanou8, Fatou Barro-Traoré8, Maxime K Drabo1, Halidou Tinto1.   

Abstract

INTRODUCTION: Though chloroquine derivatives are used in the treatment of coronavirus disease 2019 (COVID-19) in many countries worldwide, doubts remain about the safety and efficacy of these drugs, especially in African communities where published data are scarce.
METHODS: We conducted an observational prospective cohort study from April 24 to September 03, 2020, in Burkina Faso to assess (as primary outcome) the clinical, biological, and cardiac (electrocardiographic) safety of chloroquine or hydroxychloroquine plus azithromycin administered to COVID-19 patients. The main secondary outcomes were all-cause mortality and median time of viral clearance.
RESULTS: A total of 153 patients were enrolled and followed for 21 days. Among patients who took at least one dose of chloroquine or hydroxychloroquine (90.1% [138/153]), few clinical adverse events were reported and were mainly rash/pruritus, diarrhea, chest pain, and palpitations. No statistically significant increase in hepatic, renal, and hematological parameters or electrolyte disorders were reported. However, there was a significant increase in the QTc value without exceeding 500ms, especially in those who received chloroquine phosphate. Three adverse events of special interest classified as serious (known from chloroquine derivatives) were recorded namely pruritus, paresthesia, and drowsiness. One case of death occurred. The average onset of SARS-CoV-2 PCR negativity was estimated at 7.0 (95% CI: 5.0-10.0) days.
CONCLUSION: Hydroxychloroquine appeared to be well tolerated in treated COVID-19 patients in Burkina Faso. In the absence of a robust methodological approach that could generate a high level of scientific evidence, our results could at least contribute to guide health decisions that should be made based on different sources of scientific evidence including those from our study.
© 2021 Rouamba et al.

Entities:  

Keywords:  SARS-CoV-2; azithromycin; chloroquine; hydroxychloroquine; safety; virus shedding

Year:  2021        PMID: 34815671      PMCID: PMC8604637          DOI: 10.2147/TCRM.S330813

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


Introduction

Like other sub-Saharan African (SSA) countries, which are characterized by a relatively poorly operating health system, Burkina Faso is facing the consequences of the coronavirus disease 2019 (COVID-19) pandemic since March 9, 2020.1,2 Without any scientifically validated vaccines and drugs during the first year of the outbreak, control strategies were essentially based on physical barrier measures through the isolation of infected cases (suspected or confirmed) and the lockdown of the populations.3 Nevertheless, it was reported that existing approved drugs such as remdesivir and hydroxychloroquine (HCQ)4,5 had shown in vitro activity against bacterial, fungal, and viral pathogens, including SARS-CoV-2, the causal agent of COVID-19.6,7 As a result, studies were carried out to assess the efficacy and safety of antiviral drugs8–13 and hydroxychloroquine alone or in combination with other drugs to potentiate its therapeutic effect. The first published results seemed to support a positive effect of hydroxychloroquine in the treatment of COVID-19.14–17 These findings have prompted its adoption as COVID-19 therapy in many countries throughout the world, based on this scientific presumption. However, the scientific community was divided on the efficacy and safety of HCQ in the treatment of COVID-19 patients. Indeed, when most of the retrospective studies claimed an improvement in clinical conditions in patients treated with HCQ,14–16,18–23 randomized controlled studies were discontinued24–28 because of their apparent ineffectiveness with a tendency to increase overall mortality. Discrepancies of findings between observational and randomized controlled studies may be explained by differences in the design and/or methodological approach with an impact on the level of the scientific evidence.29 To reinforce the existing control measures which aim at interrupting the transmission cycle of SARS-CoV-2, Burkina Faso has officially adopted a COVID-19 treatment policy with a systematic drug treatment regimen combining chloroquine (CQ) or HCQ with azithromycin (AZ). This treatment regimen has been adopted by Burkina Faso Ministry of Health based on the fact that data on dosage, drug interactions, and profile of CQ and AZ, including the adverse effects, were sufficiently known and available, particularly in the African population.4,17 The purpose of our study named CHLORAZ was to monitor and assess the adopted treatment regimens in order to generate some findings and recommendations based on scientific presumptions. Specifically, the study aimed to evaluate the clinical, biological, and cardiac (electrocardiographic) safety among patients treated with HCQ or CQ combined with AZ, and to estimate the median time of viral clearance and assess all-cause mortality outcomes.

Materials and Methods

Study Sites, Design, and Participants

The study was carried out from April 24, 2020 to September 03, 2020, by a multidisciplinary “COVID-19-BF research” team composed of researchers (Institut de Recherche en Sciences de la Santé and Centre Muraz) and university hospital clinicians from CHU-Tengandogo in Ouagadougou and CHU- Sourou Sanon in Bobo-Dioulasso. The study was conducted in the two main cities of Burkina Faso, Ouagadougou and Bobo-Dioulasso, which are the two main epicenters of the outbreak. As the study design was a prospective observational cohort study, the research team did not administer any treatment to patients. In other words, the treatments were administered by the clinical staff dedicated to the management of COVID-19 patients in the participating hospitals. The study included all patients diagnosed by PCR as SARS-CoV-2 positive at national influenza reference laboratory (NIRL) by the participating hospitals clinical management team. Written informed consent was obtained from participants prior to data collection start.

Study Procedures

After enrolment, patients were followed-up for 21 days for clinical adverse events (AEs) as well as electrocardiographic (ECG) and biological parameters assessment (Table 1).
Table 1

Study Scheduled Visits

Follow-Up ParametersRhythm (Day)
012345678–9101421
Informed consentx
History (symptoms)xxxxx
Examination (clinical)xxxxx
Vital signsxxxxx
Blood pressurexxxxx
Body temperaturexxxxx
Electrocardiogram (ECG)xxx
SARS-CoV-2 rRT-PCRxxxxxx*
CQ or HCQ treatmentxxxxxxxxxx
Azithromycin treatmentxxxxx
Adverse drug reactionsxxxxxx
Concomitant medicationsxxxxx
Hematologyxxx
Biochemistryxxx

Note: *If the test was positive on Day 21, the test was repeated until it became negative.

Abbreviation: rRT-PCR, real time reverse transcriptase polymerase chain reaction.

Study Scheduled Visits Note: *If the test was positive on Day 21, the test was repeated until it became negative. Abbreviation: rRT-PCR, real time reverse transcriptase polymerase chain reaction. All patients enrolled were assessed during the first 10 days and then at day 14 and 21 at the hospital level (Table 1). At each visit, medical history since the last visit (including treatments taken), current signs and symptoms, if any, were collected. In addition, a nasopharyngeal swab was taken on days 0, 3, 7, 10, 14, and 21 to assess the trend of the viral clearance. When the SARS-CoV-2 test was still positive on day 21, additional samples were taken (once a week) until the test became negative, in accordance with the national standard protocol for the management of COVID-19 patients in Burkina Faso. An ECG via 12-lead was performed on day 0, before the administration of the treatment, and was repeated on days 7 and 14. For patients with abnormal results, additional ECGs were performed weekly until normalization, or the patient was recommended to contact a physician or cardiologist to confirm the normalization of the ECG after the end of the follow-up. Laboratory tests, namely, hematology (hemoglobin, red blood cell count, total white blood cell count, platelet count) and biochemistry (total bilirubin, aspartate transaminase [AST] and alanine transaminase [ALT], creatinine, potassium, calcium) were also measured on days 0, 7, and 14. Regarding the study drug administration, as recommended in the Ministry of Health’s treatment guidelines, the HCQ was given at 200 mg, three times per day for 10 days whereas CQ was given at 250 mg, twice per day for 10 days. Regarding the azithromycin, it was administered at a dose of 500 mg on Day 0 and 250 mg once a day from Day 1 to Day 4, ie, 5 days of treatment in total. It is important to stress that due to the observational nature of the study, the investigators were not involved in the therapeutic management of the patients. This means that they were not involved in prescribing, administering or changing the treatments.

Severity and Causality Assessment of Adverse Events

In this study, an Adverse Event (AE) was defined in accordance with international conference on harmonization good clinical practice (ICH-GCP) standards as any untoward medical occurrence in a patient or clinical investigation subject administered a pharmaceutical product and which does not necessarily have a causal relationship with this treatment. An assessment of severity, from the WHO Toxicity Grading Scale for Determining the Severity of Adverse Events and the Division of Microbiology and Infectious Diseases of the National Institutes of Health, was used to evaluate the severity (intensity) of all adverse events (as in mild, moderate, severe or potentially life-threatening).30 The causality assessment, ie, the relationship between the study drug and AEs, regardless of their severity, was assessed through the World Health Organisation – UPPSALA MONITORING CENTRE (WHO-UMC) system for standardised case causality assessment.31 Practically, the causality assessment was performed by trained physicians, based mainly on clinical judgment, possible alternative causes (eg, concomitant therapies, concomitant diseases, etc.), time of occurrence relative to the treatment and available information on the study drug. According to the WHO-UMC, the AEs were classified into six categories: Certain, Probable/Likely, Possible, Unlikely, Conditional/Unclassified, and Unassessable/Unclassifiable.

Outcome Measures

The primary outcomes, assessed up to 21 days after the patient enrolment, were the clinical, biological, and ECG safety of HCQ or CQ + AZ combination treatment in standard conditions of use, assessed through the incidence of AEs. Outcomes included also median time to SARS-CoV-2 test negativity, the proportion of individuals who cleared the virus (defined as one negative swab since baseline) at days 3, 7, 14, 21, and death from any cause. All adverse events, both serious and non-serious, were reported as per local regulatory requirements. These adverse events (AEs) included significant changes in vital signs, biochemical and hematological parameters, and electrocardiograms (ECGs). When the corrected QT interval by Fredericia (QTcF) was greater than 500 milliseconds or increased by 60 milliseconds from the baseline reading, the study medication was withheld, and the ECG repeated. Additional outcomes of interest consisted of adverse events of special interest (AESI) related to cardiotoxicity, neurotoxicity, nephrotoxicity, hepatotoxicity, skin reactions or phototoxicity.

Data Entry and Statistical Analysis

Data were collected on individual paper case report forms (CRFs) from the source documents (patient medical records) by study physicians and were double-entered in an electronic database developed on Open Clinica®. The final database for the analysis was obtained after the resolution of all queries raised by the data manager. Categorical variables were represented as frequencies and percentages, continuous variables as means with standard deviations, or median and interquartile ranges (IQRs), as well as minimum and maximum values where appropriate. Data showing the change of the biological parameters and the QTcF values were presented graphically. For each parameter, three graphs were plotted: i) a plot of the change of the individual values observed for each patient at the different visits, ii) boxplots showing the change of the distribution of the median values of the parameters at the different visits, iii) a plot of the change of the mean (and the 95% confidence interval) of the parameters at the different visits. Clinical adverse events were presented according to their type, frequency, severity, and potential relationship to the study drug. For the evaluation of the change in biological and ECG parameters during the follow-up, we performed comparison tests for repeated measures (at days 0, 7, and 14). Thus, the non-parametric Friedman test was used, and a p-value less than 0.05 was considered as significant. For the analysis of the viral clearance, the Kaplan–Meier survival curve was constructed to estimate the probability of recovery (negative rRT-PCR result) and estimate the median time to have a negative PCR result (viral clearance).

Ethical Aspects

Ethical approval of the protocol was obtained from the Burkina Faso Health Research Ethics Committee (Deliberation No. 2020–000101/MS/MESRSI/CERS). The purpose and procedures of the study were explained to potential participants by study staff. Participants who met the inclusion criteria and agreed to participate in the survey were asked to provide written informed consent. This study was conducted in accordance with the Declaration of Helsinki. This study is registered with ClinicalTrials.gov: NCT04445441.

Results

Patient Characteristics at Inclusion

A total of 153 patients with COVID-19 were included between April 24 and September 03, 2020 (Table 2). Of these, 75% were under 49 years of age, and the mean age was 36.1 years. Two out of three patients were males (66.0%), and 45.9% of patients had a university-level as education. Ten patients received CQ+AZ, whereas 128 patients received HCQ+AZ. A total of 14 participants did not take the chloroquine-based treatment for various reasons, mainly due to known allergies or refusal.
Table 2

Characteristics of the Population at Inclusion

CharacteristicsTotal No. = 153Treatment
HCQ + AZ No. = 128CQ + AZ No. = 10Not Treated No. = 14
Age
 Median (IQR)33.0 (16.2)32.0 (16.0)27.5 (13.8)42.0 (11.0)
 Min - max16.0–89.016.0–89.021.0–48.022.0–61.0
Sex, n(%)
 Female52 (34.0)41 (31.8)2 (20.0)9 (64.3)
 Male101 (66.0)88 (68.2)8 (80.0)5 (35.7)
Marital status, n(%)
 Single71 (51.1)61 (52.6)6 (60.0)4 (30.8)
 In couple68 (48.9)55 (47.4)4 (40.0)9 (69.2)
Profession, n(%)
 Informal sector17 (11.7)16 (13.0)0 (0.0)1 (8.3)
 Teacher6 (4.1)5 (4.1)1 (10.0)0 (0.0)
 Health worker15 (10.3)12 (9.8)0 (0.0)3 (25.0)
 Farmer5 (3.4)4 (3.3)0 (0.0)1 (8.3)
 Housewife15 (10.3)14 (11.4)0 (0.0)1 (8.3)
 Student34 (23.4)30 (24.4)4 (40.0)0 (0.0)
 Retired3 (2.1)2 (1.6)0 (0.0)1 (8.3)
 Other50 (34.5)40 (32.5)5 (50.0)5 (41.7)
Educational level, n(%)
 Non-formal education3 (2.1)2 (1.6)0 (0.0)1 (7.7)
 No education at all18 (12.3)17 (13.8)0 (0.0)1 (7.7)
 Primary education12 (8.2)11 (8.9)0 (0.0)1 (7.7)
 Post-primary education45 (30.8)37 (30.1)4 (40.0)4 (30.8)
 University67 (45.9)55 (44.7)6 (60.0)6 (46.2)
Weight (kg), Mean (SD)72.8 (15.2)73.2 (15.4)64.3 (15.6)75.8 (12.4)
Height (cm), Median (IQR)170.0 (9.0)171.0 (9.0)167.0 (9.0)170.5 (5.5)
Body mass index (kg/m2) Mean (SD)25.6 (6.4)25.8 (6.8)22.3 (4.3)26.4 (4.1)
Charlson co -morbidity index, n(%)
 0126 (83.0)103 (80.6)10 (100.0)13 (92.9)
 1–222 (14.4)21 (16.3)0 (0.0)1 (7.1)
 3–44 (2.6)4 (3.1)0 (0.0)0 (0.0)
Characteristics of the Population at Inclusion

Clinical Signs and Symptoms at Inclusion

The distribution of vital signs at inclusion according to treatment is shown in Table 3. The median oxygen saturation (SaO2) was 98.0%, which indicates that the patients did not have an obvious major respiratory distress. The minimum oxygen saturation in the included patients was 90%. About 13.2% of the patients had a temperature of 37.5°C or higher at inclusion.
Table 3

Distribution of Vital Signs at Inclusion by Treatment

Vital SignsTotalTreatment
HCQ + AZCQ + AZNot Treated
Oxygen saturation (SaO2), Median (IQR)98.0 (3.0)98.0 (0.0)97.5 (2.0)99.0 (1.0)
Temperature (°C), Median (IQR)36.9 (0.8)37.2 (0.7)36.9 (0.8)37.2 (0.4)
Fever (Temperature≥37.5°C), n(%)
 Yes20 (13.2)4 (40.0)13 (10.2)3 (21.4)
 No132 (86.8)6 (60.0)115 (89.8)11 (78.6)
Respiratory rate (c/min), Median (IQR)19.0 (3.5)21.0 (3.5)19.0 (2.5)18.5 (2.2)
Pulse (pulsations/min), Mean (SD)84.8 (15.1)96.2 (14.5)84.6 (14.7)78.6 (14.8)
Blood pressure (mmHg), Median (IQR)
 Systolic126.5 (20.8)110.0 (18.0)129.0 (21.0)127.5 (17.8)
 Diastolic81.0 (17.0)75.0 (10.0)82.0 (17.0)86.5 (19.5)
Distribution of Vital Signs at Inclusion by Treatment Furthermore, at inclusion, influenza-like symptoms were present, namely cough (14.4%), fever (13.2%), headache (10.5%), runny nose (6.5%), sore throat (5.9%), and fatigue (3.9%). In addition, shortness of breath, anosmia, and ageusia were found in 6.5% (10/153), 5.2% (8/153), and 3.9% (6/153) of patients, respectively. Besides the clinical signs and symptoms, regarding the co-medication use by the study participants during the follow-up period, the antihypertensives were the most commonly used drug, followed by vitamin C, and antidiabetics. The distribution of co-medications is shown in .

Clinical Tolerance: Clinical Adverse Events

Clinical tolerance was assessed in all patients who received at least one dose of CQ/HCQ +AZ. The distribution of the occurrence of adverse events according to chloroquine-based treatment is presented in Table 4. A few clinical AEs were reported during participants' follow-up. Thus, a total of 42 AEs were reported among 23 participants. Of these, 97.6% (41/42) of AEs occurred in 22 participants who received chloroquine. Among participants who received chloroquine, AEs were mainly skin disorders (rash and pruritus). Other AEs such as diarrhea, chest pain, dysarthria, and palpitations were reported. Among patients who received HCQ, the events were mainly skin disorders (pruritus). Other AEs such as diarrhea, chest pain, anemia, headache, jaundice (hyperbilirubinemia), pleurisy, pneumonitis, and tachycardia were also reported. It was noticeable that a few AEs were also reported among patients who did not receive any chloroquine-based treatment. These included one case of hypertension. As per WHO-UMC causality assessment criteria, two AEs (Pruritus and Diarrhea) were classified as “certain“, eight (one case of chest pain, one case of skin rash, two cases of palpitations, and four cases of pruritus) as “probable“, five as “possible”, 15 as ”unlikely”, and 11 as “unrelated”. The distribution of AEs according to their relationship to the study drug is presented in .
Table 4

Adverse Events Reported During Participant’s Follow-Up According to Treatment Received

Adverse Events, n (%)TotalTreatmentp value
HCQ + AZCQ + AZNot Treated
# of adverse events4234720.71
Name of adverse events
 Pruritus53 (60.0)2 (40.0)0 (0.0)
 Diarrhea43 (75.0)1 (25.0)0 (0.0)
 High blood pressure43 (75.0)0 (0.0)1 (25.0)
 Headache33 (100)0 (0.0)0 (0.0)
 Chest pain32 (66.7)1 (33.3)0 (0.0)
 Jaundice22 (100)0 (0.0)0 (0.0)
 Palpitations21 (50.0)1 (50.0)0 (0.0)
 Anemia11 (100)0 (0.0)0 (0.0)
 Anorexia11 (100)0 (0.0)0 (0.0)
 Cramp + paresthesia11 (100)0 (0.0)0 (0.0)
 Diarrhea + abdominal pain11 (100)0 (0.0)0 (0.0)
 Breathing difficulties11 (100)0 (0.0)0 (0.0)
 Dysarthria10 (0.0)1 (100)0 (0.0)
 Epigastralgia11 (100)0 (0.0)0 (0.0)
 Skin rash10 (0.0)1 (100)0 (0.0)
 Insomnia11 (100)0 (0.0)0 (0.0)
 Renal failure11 (100)0 (0.0)0 (0.0)
 Septic monoarthritis11 (100)0 (0.0)0 (0.0)
 Uncomplicated malaria11 (100)0 (0.0)0 (0.0)
 Pleurisy11 (100)0 (0.0)0 (0.0)
 Pneumonia11 (100)0 (0.0)0 (0.0)
 Somnolence11 (100)0 (0.0)0 (0.0)
 Infectious syndrome11 (100)0 (0.0)0 (0.0)
 Tachycardia11 (100)0 (0.0)0 (0.0)
 Cough11 (100)0 (0.0)0 (0.0)
 Vomiting11 (100)0 (0.0)0 (0.0)
Adverse Events Reported During Participant’s Follow-Up According to Treatment Received AEs with an unlikely relationship to CQ/HCQ were most common and represented 39.5% (17/43) of all adverse events. In terms of severity, the study physicians classified the majority of AEs as non-severe. Three SAEs of special interest [2.1% (3/139)], known to be related to chloroquine derivatives, were recorded. These included one case of pruritus-type skin reaction, one case of neurotoxicity (cramp/paresthesia), and one case of drowsiness. The outcomes of these events resulted in complete recovery without sequelae.

Biological Tolerance

During the 21-days follow-up period, the investigation of laboratory tests at days 0, 7, and 14 did not report any statistically significant change in liver function (AST, total bilirubin) and kidney function (creatinine). However, there was a statistically significant decrease in the median value of ALT and blood glucose, although they were not under the lower limit of the normal value range. Regarding the electrolytes balance, there was a non-significant increase of the potassium median value (from day 0 to day 14) but did not reach the upper limit of the normal value range. However, the analysis of the change of potassium median values between day 0 and day 7 showed a significant increase without reaching the upper limit of the normal value range. No increase in calcium median values was noted during the follow-up (from day 0 to day 14) among the patients included in the cohort. The change of biochemical parameters between day 0 and day 14 is presented in . Regarding the change of hematological parameters, there was a non-significant decrease in the median value of hemoglobin from day 0 to day 7. However, on day 14, there was a tendency to return to the normal value range (). Furthermore, there was no significant change in white blood cells () and platelet values . Regarding the change in platelet values, there was an increase in the median value of platelets during the follow-up, without exceeding the upper limit of the normal range values ().

Cardiac Tolerance

At inclusion, three patients (two HCQ-treated and one untreated) had QTcF values >500ms, but these values were normalized by day 3 of follow-up for two patients. The QTcF of the third patient decreased on day 7 but was still above 500ms. Among patients who had a normal QTcF value at baseline, an increase in QTcF values (>500ms) was observed in one patient at day 3, resulting in the discontinuation of the treatment. The median QTcF value was significantly increased overall in patients treated with CQ but did not exceed 500ms (Figure 1).
Figure 1

Change in corrected QT interval by Fredericia (QTcF) values during follow-up according to the treatment received

Change in corrected QT interval by Fredericia (QTcF) values during follow-up according to the treatment received A total of seven treated patients and one untreated patient exhibited an increase of at least 60ms in QTcF from baseline. In addition, after investigation of patients with clinical signs suggestive of cardiotoxicity, one patient with chest pain had an increase in QTcF from baseline >60ms.

Viral Clearance

The median time to SARS-CoV-2 negativity after the enrolment of patients in the study was estimated at 7.0 days (95% CI: 5.0–10.0). Before day 7, specifically at day 3 after the enrolment, 63.3% (95% CI: 54.3–75.1) of patients were positive. At day 14, 24.1% (95% CI 16.2–35.8) of patients were still positive, and 16.6% (95% CI: 9.9–27.8) at day 21. Thus, at day 30 and 37, 5.6% (95% CI: 2.1–16.3) and 2.9% (95% CI: 0.5–16.6) of patients were still positive to SARS-CoV-2, respectively. The Kaplan Meier curve of viral clearance is presented in Figure 2, below.
Figure 2

Viral cleareance during the follow-up

Viral cleareance during the follow-up

Death from Any Cause

During the follow-up, one death occurred. This was a 34-year-old female patient with a known medical history of chronic kidney disease, congestive hypertrophic heart disease, and arterial hypertension treated with furosemide, amlodipine, and atenolol. She was admitted to the hospital with an altered general condition associated with respiratory distress, chest pain with regular sinus rhythm, anemia, and an infectious syndrome.

Discussion

In clinical research, it is clearly demonstrated that randomized clinical trials are the best way to establish the safety/efficacy of a treatment.29 However, given the health emergency context where it was difficult to set up such type of study (partly due to the national policy recommendation of administering systematically the HCQ/CQ+AZ combination treatment to all COVID-19 patients), this prospective observational study was set up to provide presumptive scientific information on i) the tolerance profile of HCQ/CQ treatment and, ii) the median time of viral clearance among patients with COVID-19 in Burkina Faso.

Tolerance Profile of HCQ/CQ Treatment

Our findings showed that the combination of CQ/HCQ + AZ was relatively well tolerated clinically, although some adverse events well known from chloroquine derivatives (pruritus, cramp/paresthesia, and sleep disorders) were reported with more or less discomforting effects. In addition, regarding biological tolerance, the results showed a significant increase in the median potassium value between day 0 and day 7 (Friedman rank-sum test, p = 0.01) without exceeding the upper limit of the normal value range. We did not observe any clinically significant change in the other biochemical parameters and the trend was similar for the hematological parameters. There was a significant increase in the QTc value compared with the baseline values without exceeding 500ms, especially in those who received chloroquine phosphate. These results (in particular, increased cardiac risks, ie, QTc prolonged), are consistent with other studies conducted in many countries.12,32–35 According to the literature, both hydroxychloroquine and chloroquine were associated with QT interval prolongation, increased risk of “torsade de pointes”, ventricular arrhythmias, and sudden cardiac death.13,36–38 Azithromycin was also shown to prolong the QT interval in patients, most notably among older people.39–42 With regard to cardiac safety assessed in this study (specifically QTcF interval), we observed in one patient a QTcF interval value >500ms on day 3 after treatment. This QT interval prolongation occurred in a 42-year-old patient with two comorbidities (chronic kidney disease associated with hypertension) and treated with amlodipine. The prolongation of the QTcF interval in patients with COVID-19 treated with chloroquine-based molecules (in combination with or without a second-generation macrolide) has been widely reported in several studies (observational and randomized clinical trial).13,38 Although chloroquine or hydroxychloroquine are generally safe when used for approved indications such as autoimmune diseases or malaria, the safety and benefits of these regimens in the management of COVID-19 were rarely reported in the African context. While most retrospective studies conducted outside the African continent have reported clinical improvement with HCQ, randomized controlled trials have been discontinued24–28 due to a trend towards increased overall mortality. In the context of CQ/HCQ use in the treatment of SARS-CoV-2 infection, several studies have attempted to provide an explanation for QTc prolongation. Firstly, SARS-CoV-2 infection may itself attack cardiac myocytes, leading to cardiac disorders such as arrhythmias. Indeed, early studies suggested that COVID-19 was associated with a high incidence of cardiac arrhythmias.43 Secondly, electrolyte disturbances such as hyperkalemia (as observed in this study), or acute kidney injury, frequently occur during COVID-19.44 These abnormalities may directly increase the risk of cardiac arrhythmia by potentiating the QTc prolongation induced by HCQ. Thirdly, the cumulative effect of an additional drug with the potential to prolong the QTc interval may be another explanation (HCQ + azithromycin combination).45

Viral Clearance Among Patients with COVID-19 in Burkina Faso

Our study showed that the median time of viral clearance was 7 days among the enrolled patients. This time seemed relatively short compared to the median time of viral clearance reported in a systematic review and meta-analysis that estimated this time of clearance of SARS-CoV-2 RNA to be 17.0 days.46 A study carried-out in Ethiopia found that the median duration of viral clearance from each participant’s body was 19 days, but the range was wide: 2 to 71 days.47 However, our findings are similar to the results reported in other observational studies. Indeed, the median duration of SARS-CoV-2 negativity was estimated to be 6 days (IQR: 04–10) in a study conducted by Chen et al in China.48 Similar median durations of viral clearance were also reported by Hu et al (06 days; IIQ: 02–12),49 Sakurai et al (09 days; IQR: 06–11),50 and Yang et al (08 days; IQR: 03–12).51 In our study, in the absence of a control group, it was difficult to attribute this shortened time of negativity to chloroquine treatment only. Several factors could also explain this median time of seven days, including the young age of our study population and the high percentage of “paucisymptomatic” cases. Indeed, studies have shown that viral clearance seems to be shorter in young people compared to the elderly and also shorter in asymptomatic people compared to symptomatic patients.48,51–53 In our setting, several days certainly elapse between the onset of disease and the date of diagnosis for many patients, whereas the viral load of SARS-CoV-2 in the upper respiratory tract appears to peak during the first week of infection, and no studies have found live virus beyond day 9, although viral loads are still high.46 Furthermore, it is important to stress that the duration of viral clearance may depend greatly on the SARS-CoV-2 variant. Therefore, we have no robust arguments that can explain the short duration of viral clearance in our observational study. Our study has several limitations, which are mainly related to its design. First, the causality assessment tools of AEs could produce some bias (relationship likelihood or disagreements between assessors). It is noticeable that for AEs causality assessment, there are several structured tools, but none has gained universal acceptance (none of these tools, were shown to produce a precise and reliable quantitative estimation of relationship likelihood).54 In our study, the WHO-UMC was used, this could limit the disagreement between assessors.55 Second, the absence of a control group did not allow us to establish scientific evidence of causal association between the above-mentioned therapeutic regimens and the reduction of the time of viral load negativity and mortality due to COVID-19. Third, in this study, the treatment was administered by the hospital’s routine management team (or at home), so, the study team did not evaluate the adherence/compliance of the treatment taken by patients. This could lead to an under- or over-estimation of the frequency of adverse events. Fourth, if we consider that the source population, ie, the one to which we wish to generalize our results, is all the COVID-19 patients in the two main cities of the country, our sampling approach is the one by convenience. In fact, many patients did not visit the sites from where our data have been collected. This type of selection bias could lead to an overestimating or underestimating the situation. Our results should be interpreted with these strengths and limitations in mind.

Conclusion

This observational cohort study showed that no life-threatening safety issues were observed with the use of CQ/HCQ + AZ combination for the treatment of COVID-19 in Burkina Faso. Although our findings are consistent with data from several other published observational studies, they are inconsistent with data from randomized clinical trials regarding the safety of CQ/HCQ + AZ combination treatment which appears to be well tolerated in our study despite an increase in the QTc interval. Close monitoring should be performed, particularly in patients with known underlying illnesses, especially those with kidney or cardiac diseases. In the absence of an evidence-based approach, our results could contribute to guide health decisions by confronting them with other existing sources. Therefore, the decision of whether or not the use of these combination treatments should be discontinued in Burkina Faso should be based on the contextualized findings presented here but also on the appropriate international recommendations that guided its introduction in the country.
  46 in total

1.  Renal complications in COVID-19: a systematic review and meta-analysis.

Authors:  Setor K Kunutsor; Jari A Laukkanen
Journal:  Ann Med       Date:  2020-07-10       Impact factor: 4.709

2.  Association of Treatment With Hydroxychloroquine or Azithromycin With In-Hospital Mortality in Patients With COVID-19 in New York State.

Authors:  Eli S Rosenberg; Elizabeth M Dufort; Tomoko Udo; Larissa A Wilberschied; Jessica Kumar; James Tesoriero; Patti Weinberg; James Kirkwood; Alison Muse; Jack DeHovitz; Debra S Blog; Brad Hutton; David R Holtgrave; Howard A Zucker
Journal:  JAMA       Date:  2020-06-23       Impact factor: 56.272

3.  Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro.

Authors:  Manli Wang; Ruiyuan Cao; Leike Zhang; Xinglou Yang; Jia Liu; Mingyue Xu; Zhengli Shi; Zhihong Hu; Wu Zhong; Gengfu Xiao
Journal:  Cell Res       Date:  2020-02-04       Impact factor: 25.617

4.  Efficacy and harms of remdesivir for the treatment of COVID-19: A systematic review and meta-analysis.

Authors:  Alejandro Piscoya; Luis F Ng-Sueng; Angela Parra Del Riego; Renato Cerna-Viacava; Vinay Pasupuleti; Yuani M Roman; Priyaleela Thota; C Michael White; Adrian V Hernandez
Journal:  PLoS One       Date:  2020-12-10       Impact factor: 3.240

5.  Time to recovery and its predictors among adults hospitalized with COVID-19: A prospective cohort study in Ethiopia.

Authors:  Saro Abdella Abrahim; Masresha Tessema; Atkure Defar; Alemayehu Hussen; Eshetu Ejeta; Getachew Demoz; Addisu Birhanu Tereda; Enatenesh Dillnessa; Altaye Feleke; Misiker Amare; Frehiwot Nigatu; Yaregal Fufa; Hailu Refera; Ayalew Aklilu; Munir Kassa; Tsigereda Kifle; Susan Whiting; Getachew Tollera; Ebba Abate
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

6.  Remdesivir in Treatment of COVID-19: A Systematic Benefit-Risk Assessment.

Authors:  Miranda Davies; Vicki Osborne; Samantha Lane; Debabrata Roy; Sandeep Dhanda; Alison Evans; Saad Shakir
Journal:  Drug Saf       Date:  2020-07       Impact factor: 5.606

7.  Beneficial effects exerted by hydroxychloroquine in treating COVID-19 patients via protecting multiple organs.

Authors:  Bo Yu; Chenze Li; Peng Chen; Jia Li; Hualiang Jiang; Dao-Wen Wang
Journal:  Sci China Life Sci       Date:  2020-08-03       Impact factor: 6.038

Review 8.  Recycling of chloroquine and its hydroxyl analogue to face bacterial, fungal and viral infections in the 21st century.

Authors:  Jean-Marc Rolain; Philippe Colson; Didier Raoult
Journal:  Int J Antimicrob Agents       Date:  2007-07-16       Impact factor: 5.283

9.  Early hydroxychloroquine but not chloroquine use reduces ICU admission in COVID-19 patients.

Authors:  A J J Lammers; R M Brohet; R E P Theunissen; C Koster; R Rood; D W M Verhagen; K Brinkman; R J Hassing; A Dofferhoff; R El Moussaoui; G Hermanides; J Ellerbroek; N Bokhizzou; H Visser; M van den Berge; H Bax; D F Postma; P H P Groeneveld
Journal:  Int J Infect Dis       Date:  2020-09-29       Impact factor: 3.623

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  1 in total

1.  Assessment of Recovery Time, Worsening, and Death among Inpatients and Outpatients with COVID-19, Treated with Hydroxychloroquine or Chloroquine plus Azithromycin Combination in Burkina Faso.

Authors:  Toussaint Rouamba; Esperance Ouédraogo; Houreratou Barry; Nobila Valentin Yaméogo; Apoline Sondo; Rainatou Boly; Jacques Zoungrana; Abdoul Risgou Ouédraogo; Marc Christian Tahita; Armel Poda; Arnaud Eric Diendéré; Abdoul-Salam Ouedraogo; Innocent Valea; Isidore Traoré; Zekiba Tarnagda; Maxime K Drabo; Halidou Tinto
Journal:  Int J Infect Dis       Date:  2022-02-26       Impact factor: 12.074

  1 in total

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