Literature DB >> 35649613

Hydroxychloroquine plus personal protective equipment versus personal protective equipment alone for the prevention of laboratory-confirmed COVID-19 infections among healthcare workers: a multicentre, parallel-group randomised controlled trial from India.

Bharath Kumar Tirupakuzhi Vijayaraghavan1,2, Vivekanand Jha2, Dorrilyn Rajbhandari3, Sheila Nainan Myatra4,5, Arpita Ghosh2, Amritendu Bhattacharya2, Sumaiya Arfin2, Abhinav Bassi2, Lachlan Hugh Donaldson3, Naomi E Hammond6, Oommen John2, Rohina Joshi7, Mallikarjuna Kunigari2, Cynthia Amrutha8, Syed Haider Mehdi Husaini9, Subir Ghosh10, Santosh Kumar Nag11, Hari Krishnan Selvaraj12, Viny Kantroo13, Kamal D Shah14, Balasubramanian Venkatesh3,15,16.   

Abstract

OBJECTIVES: To determine whether hydroxychloroquine when used with personal protective equipment reduces the proportion of laboratory-confirmed COVID-19 among healthcare workers in comparison to the use of personal protective equipment alone.
DESIGN: Multicentre, parallel-group, open-label randomised trial. Enrolment started on 29 June 2020 and stopped on 4 February 2021. Participants randomised in HydrOxychloroquine Prophylaxis Evaluation were followed for 6 months.
SETTING: 9 hospitals across India. PARTICIPANTS: Healthcare workers in an environment with exposure to COVID-19 were randomised in a 1:1 ratio to hydroxychloroquine plus use of personal protective equipment or personal protective equipment alone. 886 participants were screened and 416 randomised (213 hydroxychloroquine arm and 203 personal protective equipment). INTERVENTION: Participants in intervention arm received 800 mg of hydroxychloroquine on day of randomisation and then 400 mg once a week for 12 weeks in addition to the use of personal protective equipment. In the control arm, participants continued to use personal protective equipment alone. MAIN OUTCOME: Proportion of laboratory-confirmed COVID-19 in the 6 months after randomisation.
RESULTS: Participants were young (mean age 32.1 years, SD 9.1 years) with low-comorbid burden. 47.4% were female. In the 6 months after randomisation (primary analysis population=413), 11 participants assigned to the hydroxychloroquine group and 12 participants assigned to the standard practice group met the primary endpoint (5.2% vs 5.9%; OR 0.85, 95% CI 0.35 to 2.07, p=0.72). There was no heterogeneity of treatment effect in any prespecified subgroup. There were no significant differences in the secondary outcomes. The adverse event rates were 9.9% and 6.9% in the hydroxychloroquine and standard practice arms, respectively. There were no serious adverse events in either group. CONCLUSIONS AND RELEVANCE: Hydroxychloroquine along with personal protective equipment was not superior to personal protective equipment alone on the proportion of laboratory-confirmed COVID-19. Definitive conclusions are precluded as the trial stopped early for futility, and hence was underpowered. TRIAL REGISTRATION NUMBER: CTRI/2020/05/025067. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; clinical pharmacology; public health

Mesh:

Substances:

Year:  2022        PMID: 35649613      PMCID: PMC9160584          DOI: 10.1136/bmjopen-2021-059540

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


Our trial is the largest multicentre trial evaluating hydroxychloroquine prophylaxis for COVID-19 from a low and middle-income country setting. The trial tested the dose of hydroxychloroquine recommended by the Indian regulatory agencies and had the longest follow-up duration among hydroxychloroquine trials. Our trial included a diverse set of participants, both in terms of balance of men and women, but also in terms of the various healthcare worker roles. The trial stopped early for futility, hence limiting any conclusions. Our trial did not include a placebo arm or employ blinding.

Introduction

1There have been over 524,000,000 cases of COVID-19 with over 6.2 million deaths until 25th May 2022. In India, there have been over 500,000 deaths.1 2 At the onset of the pandemic, neither vaccines nor drugs providing postexposure prophylaxis were available. Given their role, healthcare workers (HCWs), particularly those on the front lines, were identified as the group at the highest risk of acquiring the infection. In the severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus outbreaks, HCWs accounted for 21.1% and 19.1% of cases, respectively.3 4 In data from China and Italy in the early stages of the COVID-19 pandemic, 3.8% and 9% of confirmed cases were among HCWs.5 6 In subsequent reports, this proportion has ranged from 7% to 15%.7 Early reports indicated that hydroxychloroquine (HCQ) may provide effective prophylaxis against SARS-CoV-2 infection based on its ability to reduce binding of the virus to the ACE2 receptor, prevent cellular entry of the virus and inhibit viral replication.8 9 This, in combination with the observation that HCQ possessed favourable pharmacokinetic characteristics and its proven track record of safety for non-COVID indications, provided sufficient justification for conducting trials evaluating HCQ for pre-exposure prophylaxis.10–12 However, the published trials are underpowered, or have suffered from methodological limitations or were evaluating HCQ in a different population. Importantly, none of these trials were from a lower middle-income context, where the challenges are inherently different. HCWs, particularly in India, were at a higher risk because of the limited availability of personal protective equipment (PPE), the slow roll-out of vaccination programmes and the enormous case burden. Early in the pandemic, the Indian Council of Medical Research (ICMR) recommended HCQ as prophylaxis for HCWs and simultaneously made a plea that ‘proof of concept and pharmacokinetics studies be taken up expeditiously’.13 In parallel, there were also reports of adverse events14 including death following the use of HCQ as prophylaxis/treatment. There was thus an ethical and a public health imperative to rapidly evaluate its effectiveness and safety. The HydrOxychloroquine Prophylaxis Evaluation (HOPE) trial was designed to evaluate the combination of HCQ along with PPE over the use of PPE in preventing COVID-19 infection among HCWs at risk.

Methods

Study design and oversight

HOPE was an investigator-initiated, stratified, parallel-group, open-label, multicentre randomised controlled trial. From 29 June 2020 to 4 February 2021, we enrolled HCWs from nine hospitals across India. These centres were selected on the basis of them being designated COVID-19 centres by the Government of India or by virtue of being involved in the care of patients with confirmed COVID-19. Written informed consent was obtained from all participants. The trial was designed and overseen by a steering committee. An independent data and safety monitoring committee monitored the trial and reviewed data at the first interim analysis for safety (321 participants followed up for 4 weeks). The trial was stopped on 4 February 2021 after the first interim analysis because of slow enrolment due to the commencement of the vaccination programme and a high likelihood of futility (online supplemental appendix page 7); by this time, 416 participants had been randomised and the enrolled participants were followed up for the full 6-month duration. The trial was conducted in accordance with ethical principles consistent with the Declaration of Helsinki,15 the ICH Good Clinical Practice guidelines16 and all other relevant national and regional guidelines. The trial was sponsored by The George Institute for Global Health. The trial protocol (online supplemental appendix)17 and statistical analysis plan (online supplemental appendix)18 were published a priori. All the authors vouch for the adherence to the protocol, for the accuracy and completeness of data and for the reporting of serious adverse events.

Participants

All HCWs (medical, nursing, allied health and ancillary workers) working in an environment with direct exposure to patients with confirmed COVID-19 infection and providing written informed consent were eligible for enrolment. Direct exposure to COVID-19 was defined as participants working in the areas designated for care of patients with COVID-19 in the hospitals (emergency room, wards, intensive care units (ICU)). We excluded those that did not provide consent, had a history of laboratory-confirmed COVID-19 infection, were already on HCQ, or pregnant or breast feeding. The full list of exclusion criteria is provided in the online supplemental appendix page 4.

Randomisation and masking

We used centralised randomisation and a computer-generated allocation sequence with permuted blocks of varying sizes. Randomisation was stratified by site and by role of HCW (nurse, doctor and other). This was an unblinded study.

Trial procedures

Participants were randomised in a 1:1 ratio to receive either HCQ plus PPE or PPE alone. In the HCQ group, in addition to use of PPE, HCWs received 400 mg of HCQ twice on the day of enrolment, followed by 400 mg once a week for a total of 12 weeks. This dose was chosen based on the recommendation issued by ICMR. All the HCWs in this arm underwent an ECG between weeks 4 and 6 and asked to report any side effects such as chest pain, palpitations or syncope. HCWs were advised to stop the drug if they contracted COVID-19 during the intervention period, if they developed any serious adverse reactions to HCQ or if they no longer desired to continue in the trial. The trial drug would also be stopped if the corrected QT interval in the mid-trial ECG exceeded 450 ms irrespective of symptoms. For HCWs wishing to stop the drug during the intervention period, consent was sought for collecting follow-up data. HCWs randomised to PPE alone group were asked to continue using appropriate PPE as per their institutional recommendations. They were discouraged from taking HCQ and intake of HCQ in this group was considered a protocol violation. ECG was performed in this arm only if the participant reported symptoms such as chest pain, palpitations or syncope.

Outcomes

The primary outcome was the proportion of laboratory-confirmed (by reverse transcriptase PCR or presence of antibodies) SARS-CoV-2 infection in the 6 months after randomisation. Secondary outcomes included hospitalisation due to suspected or confirmed COVID-19 infection, need for ICU or high dependency unit (HDU) admission, all-cause mortality, need for respiratory support (including O2 therapy, non-invasive and invasive ventilation), need for kidney replacement therapy, need for vasopressors, hospital length of stay, ICU or HDU length of stay, readmission to hospital and days absent from work due to suspected or confirmed COVID-19 infection.

Data collection

Baseline data included designation of the HCW, role in the COVID-19 ward or ICU, demographics, average shift duration and comorbidities. Weekly follow-up was performed for all participants using a questionnaire either in person or over the phone. Information collected during follow-up included exposure during the week, compliance with the protocol and adverse events, if any. For the primary outcome, participants shared a copy of the laboratory report confirming the presence of COVID-19 infection. Data on hospitalisation and related secondary outcomes were obtained from the medical records. Both groups were followed up for a total of 25 weeks from randomisation.

Statistical analysis

We estimated that the enrolment of 6950 HCWs would give us a power of 80% to detect a 25% relative reduction in the proportion of confirmed COVID-19 infections from an estimated baseline proportion of 10% and a two-sided alpha of 5%. This sample size allowed for a potential loss to follow-up of 10% and a potential non-compliance rate of 10%. Analysis of the primary and secondary outcomes was performed in the intention-to-treat population, which included all those that were randomised. In the event that consent was withdrawn, data were included only if the participant explicitly agreed for her/his data to be used until the point she/he revoked consent. Discrete variables are summarised as percentages and frequencies. Continuous variables are summarised as mean and SD or median and IQR. The primary outcome is analysed without imputation of missing data. To account for the stratification by site and HCW role and maximise power, the main analysis was performed using logistic regression with treatment allocation and HCW role as fixed effects and site as a random effect. The effect of the intervention is presented as OR and corresponding 95% CIs. For ease of interpretation, risk difference and 95% CI are also presented. Given the overall small number of events, no adjustment for other covariates was performed. Crude proportions by treatment arm are also reported with an unadjusted OR, 95% CIs and a Fisher’s exact test p value. For the dichotomous secondary outcomes, comparison of proportions is summarised by treatment arm and compared using logistic regression (similar to the primary analysis). For the continuous outcomes, hospital and ICU length of stay are analysed as the number of days alive and free of outcome. Days alive and free of outcome were censored at 175 days after randomisation calculated between randomisation and end of week 25 and will therefore have values between 0 and 175 days. These are summarised as means and SDs (or medians and quartiles) and compared between the two arms using a Mann-Whitney U test. The number of hospitalisations, ICU admissions and days off work due to COVID-19 infection were very few, hence regressions outlined in the statistical analysis plan were not carried out. Four prespecified subgroup analyses were included based on age (>35 or ≤35 years), sex (male vs female), role of HCW (doctor vs nurse vs other) and BCG vaccination status (yes vs no). The analysis for each subgroup, except for role of HCW, was performed by adding the subgroup variables as well as its interaction with the intervention as fixed effects to the main logistic regression model. Adverse events deemed possibly, probably or definitely related to study treatment were summarised as the number and proportion of participants experiencing at least one event and by category of events and overall number of events. Proportion of participants with adverse events was compared between the two treatment arms using the Fisher’s exact test, both overall and by category.

Patient and public involvement

There was no direct patient or public involvement in the conception or design of this trial.

Results

Between 29 June 2020 and 4 February 2021, a total of 886 eligible HCWs were screened; 416 were randomised. Two hundred and thirteen participants were randomly allocated to HCQ plus PPE and 203 to standard PPE alone. Figure 1 shows the flow of participants in the trial. Information on trial sites and number of participants enrolled by site is provided in online supplemental table 1. All participants were followed up to 6 months with the last date of follow-up as 29 July 2021. Of the 416 participants, two were lost to follow-up and 414 were included for the analysis of the primary and key secondary outcomes.
Figure 1

Consolidated Standards of Reporting Trials (CONSORT) flow diagram.

Consolidated Standards of Reporting Trials (CONSORT) flow diagram. The baseline characteristics of the included participants were comparable between the two groups (table 1 and online supplemental table 7). Participants were young (mean age 32.1, SD 9.1) and healthy with low-comorbid burden. About 32.5% of the participants were nurses, 30.3% ancillary HCWs, 21.6% allied health workers and 15.6% doctors; 47.4% were female. Approximately 63% of the participants were enrolled from COVID-19 wards, 26% from ICU and 10% from the emergency room.
Table 1

Baseline characteristics

CharacteristicsStandard practice (PPE) (n=203)HCQ +standard practice (PPE) (n=213)Total (n=416)
Age (years)
 Mean (SD)31.8 (8.63)32.3 (9.65)32.1 (9.16)
 Median (Q1; Q3)29.0 (25.0; 36.0)30.0 (25.0; 38.0)30.0 (25.0; 37.0)
Sex (%)
 Male106 (52.2)113 (53.1)219 (52.6)
 Female97 (47.8)100 (46.9)197 (47.4)
Role (%)
 Nurse68 (33.5)67 (31.5)135 (32.5)
 Doctor31 (15.3)34 (16.0)65 (15.6)
 Allied health worker44 (21.7)46 (21.6)90 (21.6)
 Ancillary worker60 (29.6)66 (31.0)126 (30.3)
 Visiting doctor0 (0.0)0 (0.0)0 (0.0)
Usual place of work (%)
 ICU53 (26.1)53 (24.9)106 (25.5)
 Emergency department18 (8.9)26 (12.2)44 (10.6)
 Ward130 (64.0)130 (61.0)260 (62.5)
 Outpatient2 (1.0)4 (1.9)6 (1.4)
Weight (kg)
 Mean (SD)61.7 (13.15)62.3 (14.02)62.0 (13.59)
 Median (Q1; Q3)60.0 (52.0; 70.0)61.0 (52.0; 70.0)61.0 (52.0; 70.0)
Height (cm)
 Mean (SD)161.7 (12.15)161.7 (9.90)161.7 (11.04)
 Median (Q1; Q3)162.0 (155.0; 169.0)161.0 (155.0; 169.0)161.0 (155.0; 169.0)
Smoker (%)
 No194 (95.6)205 (96.2)399 (95.9)
 Yes9 (4.4)8 (3.8)17 (4.1)
Diabetes (%)
 No200 (98.5)206 (96.7)406 (97.6)
 Yes3 (1.5)7 (3.3)10 (2.4)
High blood pressure or taking blood pressure medication (%)
 No200 (98.5)211 (99.1)411 (98.8)
 Yes3 (1.5)2 (0.9)5 (1.2)
Chronic heart disease (%)
 No203 (100)213 (100)416 (100)
 Yes0 (0.0)0 (0.0)0 (0.0)
Chronic lung disease (%)
 No203 (100)213 (100)416 (100)
 Yes0 (0.0)0 (0.0)0 (0.0)
Chronic kidney disease (%)
 No203 (100)211 (99.1)414 (99.5)
 Yes0 (0.0)2 (0.9)2 (0.5)
Chronic liver disease (%)
 No203 (100)213 (100)416 (100)
 Yes0 (0.0)0 (0.0)0 (0.0)
BCG (TB, tuberculosis) vaccination during childhood (%)
 No25 (12.3)35 (16.4)60 (14.4)
 Yes152 (74.9)151 (70.9)303 (72.8)
 Unknown26 (12.8)27 (12.7)53 (12.7)
Use of any PPE during last contact with patient with suspected or confirmed COVID-19 (%)
 No0 (0.0)0 (0.0)0 (0.0)
 Yes203 (100)213 (100)416 (100)

HCQ, hydroxychloroquine; ICU, intensive care unit; PPE, personal protective equipment.

Baseline characteristics HCQ, hydroxychloroquine; ICU, intensive care unit; PPE, personal protective equipment. Vaccination started in India on 16 January 2021 and details of vaccination status of the participants are provided in online supplemental table 8.

Trial intervention

Compliance with the intervention was high (87.4%) with a total of 312 HCQ doses being missed out of the 2483 recorded doses. Details are provided in online supplemental tables 2 and 3.

Primary outcome

In the 6 months after randomisation, 11 participants assigned to the HCQ (8 confirmed by PCR and 3 by antibody test) and 12 participants assigned to the PPE only (10 confirmed by PCR and 2 by antibody test) groups met the primary end point of laboratory-confirmed COVID-19 (5.2% vs 5.9%; OR 0.85, 95% CI 0.35 to 2.07, p=0.72) (table 2). There was no significant heterogeneity in the effect of the intervention on the primary outcome in the four prespecified subgroups (figure 2).
Table 2

Primary outcome and dichotomous secondary outcomes

OutcomeStandard practice (PPE)(n=203)HCQ +standard practice (PPE)(n=211)UnadjustedAdjusted*
OR (95% CI)P value†OR (95% CI)P valueRisk difference (95% CI)P value
Laboratory-confirmed COVID-19 infection within 6 months after randomisation (primary outcome)12 (5.9%)11 (5.2%)0.88 (0.38 to 2.03)0.830.85 (0.35 to 2.07)0.72−0.7% (−7.8% to 6.4%)0.95
Secondary outcomes
 Laboratory-confirmed or suspected‡ COVID-19 infection within 6 months after randomisation12 (5.9%)12 (5.7%)0.96 (0.42 to 2.19)1.000.94 (0.39 to 2.24)0.89−0.3% (−7.5% to 6.9%)0.98
 Hospitalised due to suspected COVID-192 (0.9%)1 (0.5%)0.48 (0.04 to 5.32)0.62NANA
 Admitted to ICU or HDU due to suspected COVID-190 (0.0%)1 (0.5%)NA1.00NANA
 Death from any cause0 (0.0%)0 (0.0%)NANA
Need for O2 supplementation or ventilation:
Oxygen supplementation1 (0.5%)1(0.5%)0.96(0.06, 15.48)1.00NANA
 Ventilation0 (0.0%)0 (0.0%)NANANANA
 Need for vasopressors0 (0.0%)0 (0.0%)NANANANA
 Need for renal replacement therapy0 (0.0%)0 (0.0%)NANANANA
 Readmission to hospital0 (0.0%)0 (0.0%)NANANANA

*Adjusted for role of HCW (fixed effect) and site (random effect).

†Fisher’s exact test p value.

‡Defined as symptoms with more than 10 days off work.

HCQ, hydroxychloroquine; HCW, healthcare worker; HDU, high dependency unit; ICU, intensive care unit; NA, not applicable; PPE, personal protective equipment.

Figure 2

Forest plot for subgroup analysis of laboratory-confirmed COVID-19 infection within 6 months after randomisation. Intervention versus control: number of patients with events/total number of patients, p value is for interaction effect.

Forest plot for subgroup analysis of laboratory-confirmed COVID-19 infection within 6 months after randomisation. Intervention versus control: number of patients with events/total number of patients, p value is for interaction effect. Primary outcome and dichotomous secondary outcomes *Adjusted for role of HCW (fixed effect) and site (random effect). †Fisher’s exact test p value. ‡Defined as symptoms with more than 10 days off work. HCQ, hydroxychloroquine; HCW, healthcare worker; HDU, high dependency unit; ICU, intensive care unit; NA, not applicable; PPE, personal protective equipment.

Secondary outcomes

There were no significant differences between the intervention and control arms with respect to the key secondary outcomes (table 2 and online supplemental table 4). Three participants needed hospitalisation (two in the control and one in the intervention arm) and one participant in either group needed supplemental oxygen therapy. There were no deaths.

Adverse events

The proportions of adverse events were 9.9% and 6.9% in the HCQ and PPE groups, respectively (risk ratio 1.43; 95% CI 0.61 to 2.23, p=0.29); all were minor and there were no serious adverse events (table 3 and online supplemental tables 5 and 6). ECG was performed in 172 of the 213 participants randomised to the HCQ arm and there were two participants with ECG evidence of QTc prolongation (more than 450 ms). In both these participants, the trial drug was stopped without any further adverse events.
Table 3

Adverse events

CharacteristicsPPE only (n=203)HCQ+PPE (n=213)Total (n=416)P value*Risk ratio (95% CI)
Adverse event0.29
 No189 (93.1%)192 (90.1%)381 (91.6%)
 Yes14 (6.9%)21 (9.9%)35 (8.4%)1.43 (0.61 to 2.23)
Serious adverse event
 No203/203 (100%)213/213 (100%)416/416 (100%)
Resulted in death
 No203/203 (100%)213/213 (100%)416/416 (100%)
Life threatening
 No203/203 (100%)213/213 (100%)416/416 (100%)
Requires prolonged hospitalisation
 No203/203 (100%)213/213 (100%)416/416 (100%)
Results in persistent or severe disability/incapacity
 No203/203 (100%)213/213 (100%)416/416 (100%)
Results in congenital anomaly/birth defect
 No203/203 (100%)213/213 (100%)416/416 (100%)
Is medically significant to qualify as a serious event
 No203/203 (100%)213/213 (100%)416/416 (100%)

*Fisher’s exact test

HCQ, hydroxychloroquine; PPE, personal protective equipment.

Adverse events *Fisher’s exact test HCQ, hydroxychloroquine; PPE, personal protective equipment.

Discussion

In this trial evaluating HCQ prophylaxis among HCWs in India, the use of HCQ in addition to PPE did not result in a lower incidence of laboratory-confirmed COVID-19 as compared with PPE alone. This effect did not differ in any of the prespecified subgroups. There were also no between-group differences in any of the key secondary outcomes. There was no statistically significant difference in the proportion of adverse events between the two groups and there were no serious adverse events. The results of our trial are consistent with previously published data from other settings. Nine published trials19–27 have so far evaluated the role of HCQ as a prophylactic agent. Of these, four evaluated the role of HCQ as a postexposure prophylaxis agent among contacts of patients with COVID-19,19–22 one evaluated the drug among migrant workers23 and four among HCWs.24–27 Rajasingham et al 24 conducted a three-arm, parallel-group trial comparing two dosing regimens of HCQ versus a placebo (n=1483). Neither of the dosing regimens were effective in reducing the primary outcome of COVID-19-free survival time. In contrast to HOPE, the primary outcome was a combination of laboratory-confirmed and probable COVID-19 (by symptoms). Additionally, participants in the trial were enrolled through approaches on social media and not through a systematic strategy of hospital or site-level screening. In another trial evaluating HCQ as pre-exposure prophylaxis, Abella and colleagues25 randomised 132 participants. The dosing regimen in this trial was 600 mg of oral HCQ or placebo daily for a period of 8 weeks. The trial included participants with a negative PCR at baseline and retested at 4 and 8 weeks. The trial was stopped after 132 participants were enrolled (planned n=200) due to low event rates and a signal for futility. Two other trials evaluating the role of HCQ among HCWs have been published as preprints.26 27 In a single-centre placebo-controlled trial from Mexico, investigators enrolled 130 participants and found no difference in the primary outcome. In another phase II trial from Pakistan, the investigators enrolled 200 participants into one of four arms—three treatment arms with different dosages of HCQ and one control arm. Participants were followed up to 12 weeks and the study found no difference in the rate of COVID-19 positivity. To date, none of the trials have provided a definitive answer on the effectiveness of HCQ as a prophylactic agent. Based on the observed event rate at the interim analysis of HOPE, the Data Safety Monitoring Committee estimated that 10 000 participants would be needed in each arm to have a 90% power to detect a 30% relative reduction in the primary outcome. Based on these numbers, the availability of vaccines and the perceived loss of clinical equipoise, the question on the effectiveness of HCQ as prophylaxis is likely to remain unanswered. Our trial has important strengths. HOPE is the largest multicentre trial of HCQ prophylaxis from a lower middle-income country. A high proportion of eligible HCWs received the trial intervention as planned, very few enrolled participants were lost to follow-up and we incorporated a mid-trial ECG in the HCQ arm for safety. Most participating centres had limited formal research infrastructure or experience and HOPE served to create research capacity at these sites. Our trial was conducted to the highest methodological standards, was overseen by a trial steering committee and supervised by an independent data monitoring committee. We had prespecified stopping rules for harm and our trial protocol and statistical analysis plan were published a priori. We had high compliance with the treatment protocol, 99.3% follow-up for the primary outcome and the longest follow-up period among HCQ prophylaxis trials. Our trial had nearly equal proportions of men and women and was diverse in its inclusion of different HCW roles, thereby enhancing generalisability. Our trial had limitations. Given the slow enrolment, the declining enthusiasm for HCQ and the roll-out of vaccination, we were unable to complete the trial to the planned sample size and hence were underpowered at the time of stopping. We did not include a placebo arm or employ blinding; however, bias was mitigated by the choice of an objective primary end point. We did not perform a baseline PCR or antibody testing and relied on participant history to rule out prior COVID-19. Our screening to randomisation ratio of 0.46 is on the lower side with refusal of consent being the main reason for non-inclusion. In conclusion, HCQ in addition to PPE was not associated with a lower incidence of COVID-19 as compared with PPE alone. However definitive inferences are precluded by the limited statistical power.
  15 in total

1.  COVID-19 in Health-Care Workers: A Living Systematic Review and Meta-Analysis of Prevalence, Risk Factors, Clinical Characteristics, and Outcomes.

Authors:  Sergio Alejandro Gómez-Ochoa; Oscar H Franco; Lyda Z Rojas; Peter Francis Raguindin; Zayne Milena Roa-Díaz; Beatrice Minder Wyssmann; Sandra Lucrecia Romero Guevara; Luis Eduardo Echeverría; Marija Glisic; Taulant Muka
Journal:  Am J Epidemiol       Date:  2021-01-04       Impact factor: 4.897

2.  Chloroquine is a potent inhibitor of SARS coronavirus infection and spread.

Authors:  Martin J Vincent; Eric Bergeron; Suzanne Benjannet; Bobbie R Erickson; Pierre E Rollin; Thomas G Ksiazek; Nabil G Seidah; Stuart T Nichol
Journal:  Virol J       Date:  2005-08-22       Impact factor: 4.099

3.  A Randomized Trial of Hydroxychloroquine as Postexposure Prophylaxis for Covid-19.

Authors:  David R Boulware; Matthew F Pullen; Ananta S Bangdiwala; Katelyn A Pastick; Sarah M Lofgren; Elizabeth C Okafor; Caleb P Skipper; Alanna A Nascene; Melanie R Nicol; Mahsa Abassi; Nicole W Engen; Matthew P Cheng; Derek LaBar; Sylvain A Lother; Lauren J MacKenzie; Glen Drobot; Nicole Marten; Ryan Zarychanski; Lauren E Kelly; Ilan S Schwartz; Emily G McDonald; Radha Rajasingham; Todd C Lee; Kathy H Hullsiek
Journal:  N Engl J Med       Date:  2020-06-03       Impact factor: 91.245

4.  Post-exposure prophylaxis with hydroxychloroquine for the prevention of COVID-19, a myth or a reality? The PEP-CQ Study.

Authors:  Deba Prasad Dhibar; Navneet Arora; Arpit Kakkar; Neeraj Singla; Ritin Mohindra; Vikas Suri; Ashish Bhalla; Navneet Sharma; Mini P Singh; Ajay Prakash; Lakshmi Pvm; Bikash Medhi
Journal:  Int J Antimicrob Agents       Date:  2020-11-06       Impact factor: 5.283

5.  Hydroxychloroquine as Postexposure Prophylaxis to Prevent Severe Acute Respiratory Syndrome Coronavirus 2 Infection : A Randomized Trial.

Authors:  Ruanne V Barnabas; Elizabeth R Brown; Anna Bershteyn; Helen C Stankiewicz Karita; Christine Johnston; Lorna E Thorpe; Angelica Kottkamp; Kathleen M Neuzil; Miriam K Laufer; Meagan Deming; Michael K Paasche-Orlow; Patricia J Kissinger; Alfred Luk; Kristopher Paolino; Raphael J Landovitz; Risa Hoffman; Torin T Schaafsma; Meighan L Krows; Katherine K Thomas; Susan Morrison; Harald S Haugen; Lara Kidoguchi; Mark Wener; Alexander L Greninger; Meei-Li Huang; Keith R Jerome; Anna Wald; Connie Celum; Helen Y Chu; Jared M Baeten
Journal:  Ann Intern Med       Date:  2020-12-08       Impact factor: 25.391

6.  Hydroxychloroquine lung pharmacokinetics in critically ill patients infected with COVID-19.

Authors:  S Ruiz; D Concordet; T Lanot; B Georges; P Goudy; S Baklouti; C Mane; E Losha; H Vinour; D Rousset; M Lavit; V Minville; J-M Conil; P Gandia
Journal:  Int J Antimicrob Agents       Date:  2020-11-28       Impact factor: 5.283

7.  A Cluster-Randomized Trial of Hydroxychloroquine for Prevention of Covid-19.

Authors:  Oriol Mitjà; Marc Corbacho-Monné; Maria Ubals; Andrea Alemany; Clara Suñer; Cristian Tebé; Aurelio Tobias; Judith Peñafiel; Ester Ballana; Carla A Pérez; Pol Admella; Núria Riera-Martí; Pep Laporte; Jordi Mitjà; Mireia Clua; Laia Bertran; Maria Sarquella; Sergi Gavilán; Jordi Ara; Josep M Argimon; Gabriel Cuatrecasas; Paz Cañadas; Aleix Elizalde-Torrent; Robert Fabregat; Magí Farré; Anna Forcada; Gemma Flores-Mateo; Cristina López; Esteve Muntada; Núria Nadal; Silvia Narejos; Aroa Nieto; Nuria Prat; Jordi Puig; Carles Quiñones; Ferran Ramírez-Viaplana; Juliana Reyes-Urueña; Eva Riveira-Muñoz; Lidia Ruiz; Sergi Sanz; Alexis Sentís; Alba Sierra; César Velasco; Rosa M Vivanco-Hidalgo; Juani Zamora; Jordi Casabona; Martí Vall-Mayans; Camila González-Beiras; Bonaventura Clotet
Journal:  N Engl J Med       Date:  2020-11-24       Impact factor: 91.245

8.  Hydroxychloroquine for prophylaxis of COVID-19 in health workers: A randomized clinical trial.

Authors:  Jorge Rojas-Serrano; Angelica Margarita Portillo-Vásquez; Ireri Thirion-Romero; Joel Vázquez-Pérez; Fidencio Mejía-Nepomuceno; Alejandra Ramírez-Venegas; Karla Midori Pérez-Kawabe; Rogelio Pérez-Padilla
Journal:  PLoS One       Date:  2022-02-09       Impact factor: 3.240

9.  Hydroxychloroquine plus personal protective equipment versus standard personal protective equipment alone for the prevention of COVID-19 infections among frontline healthcare workers: the HydrOxychloroquine Prophylaxis Evaluation(HOPE) trial: A structured summary of a study protocol for a randomized controlled trial.

Authors:  Bharath Kumar Tirupakuzhi Vijayaraghavan; Vivekanand Jha; Dorrilyn Rajbhandari; Sheila Nainan Myatra; Oommen John; Arpita Ghosh; Abhinav Bassi; Sumaiya Arfin; Mallikarjuna Kunigari; Rohina Joshi; Lachlan Donaldson; Naomi Hammond; Balasubramanian Venkatesh
Journal:  Trials       Date:  2020-08-31       Impact factor: 2.279

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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