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Hydroxychloroquine for the treatment of severe respiratory infection by COVID-19: A randomized controlled trial

Abstract

Introduction

The novel coronavirus pandemic (COVID–19) represents a major public health problem and it is key to find a treatment that reduces mortality. Our objective was to estimate whether treatment with 400 mg/day of Hydroxychloroquine for 10 days reduces in-hospital mortality in subjects with severe respiratory disease due to COVID-19 compared with placebo.

Material and methods

A double-blind, randomized, placebo-controlled trial to evaluate the safety and efficacy of Hydroxychloroquine for the treatment of severe disease by COVID-19 through an intention-to-treat analysis. Eligible for the study were adults aged more than 18 years with COVID-19 confirmed by RT-PCR and lung injury requiring hospitalization with or without mechanical ventilation. Primary outcome was 30-day mortality. Secondary outcomes: days of mechanical ventilation, days of hospitalization and cumulative incidence of serious adverse events.

Results

A total of 214 patients with COVID-19 were recruited, randomized and analyzed. They were hypoxemic with a mean SpO2 of 65% ± 20, tachycardic (pulse rate 108±17 min-1) and tachypneic (32 ±10 min-1); 162 were under mechanical ventilation at randomization. Thirty-day mortality was similar in both groups (38% in Hydroxychloroquine vs. 41% in placebo, hazard ratio [HR] 0.88, 95% Confidence Interval [95%CI] 0.51–1.53). In the surviving participants, no significant difference was found in secondary outcomes.

Conclusion

No beneficial effect or significant harm could be demonstrated in our randomized controlled trial including 214 patients, using relatively low doses of Hydroxychloroquine compared with placebo in hospitalized patients with severe COVID-19.

Introduction

The outbreak of respiratory infection by the SARS-COV2 started in December 2019, in Wuhan (Hubei Province), China [15]. From this city, the outbreak has been spreading to the majority of countries worldwide in a severe pandemic [6]. As of June 2021, more than 178 million infections and more than 3.5 million deaths have been reported [6].

Several drugs have been tested as treatment for patients with COVID-19, based on their known immunomodulatory or anti-inflammatory effects, or on their in-vitro antiviral effects [7]. Chloroquine and HydroxyChloroQuine (HCQ) have been in regular use for decades to treat malaria and, more recently, for the treatment of some rheumatic diseases, with a well-documented benefit/risk profile at a very low cost. The majority of published studies on HCQ or chloroquine for treatment of COVID-19 have been observational, or relatively small controlled trials. Several large trials on HCQ were suspended, such as the RECOVERY trial [8], the World Health Organization SOLIDARITY trial [9], and an NIH-funded trial involving HCQ [10] because they proved a lack of benefit in mortality. Moreover, some meta-analysis suggest that using high doses of HCQ may lead to cardiovascular events [11, 12]. Other randomized controlled trials to date have published results with high daily doses of HCQ (800mg or more) or using an initial large loading dose.

Our aim was to estimate whether 10-day treatment with 200 mg twice daily of HCQ, relatively low, without an initial loading dose, reduces 30-day mortality in hospitalized patients with severe COVID-19 disease, a low-cost treatment unlikely to result in important adverse effects.

Material and methods

Trial design

This was a phase III, multicenter, randomized, double-blind, parallel-control clinical trial with a 1:1 allocation ratio. No changes on trial design were made after trial commencement. This report followed the CONSORT guidelines [13] (Fig 1) and was approved by the Institutional Ethics Committee; “El Comité Único, de Investigación, de Ética en Investigación, y de Bioseguridad de la Comisión Coordinadora de Institutos Nacionales de Salud y Hospitales de Alta Especialidad” (The Investigation, Ethics in investigation and Biosecurity Unique Committee from the Coordination of the National Institutes of Health and High Specialty Hospitals), a single Institutional Review Board appointed by the Mexican National Institutes of Health authority for this multicentric study, (approval code C13-20).

Written consent to participate in the study was signed either in person or electronically by eligible participants. When unable to sign due to the initiation of mechanical ventilation, a legal representative signed written consent. Verbal consent was considered appropriate and was documented through audio recordings. The trial was pre-registered in ClinicalTrials.gov before recruitment started (identifier NCT04315896).

Participants

Eligible subjects were adults over 18 years of age, with <14 days from symptoms onset, a confirmed diagnosis of COVID-19 by RT-PCR (in a pharyngeal/nasopharyngeal swab sample or in a tracheal aspirate/bronchial lavage) that required hospitalization as decided by the attending physicians. Because all patients had hypoxemia (SaO2 <90% ambient air or PaO2/FIO2 <250 in Mexico City) and opacities in the chest roentgenogram or the tomography, hospitalization was usually due to the requirement of respiratory support, either supplementary oxygen or mechanical ventilation. All diagnostic RT-PCR followed a similar technique (Berlin Protocol) with all laboratories standardized by the Mexican National Reference Laboratory (INDRE). RT-PCR was performed in-situ by participating hospitals, except in Oaxaca, where testing was performed at the state laboratory, implying a 1–2 additional delay in obtaining results and the inability to perform additional RT-PCR tests on the same patient.

We excluded patients with known previous COVID-19 infection, those previously treated with HCQ or chloroquine during the last month, pregnant woman, those with a planned transfer to another hospital unit, or those participating in another COVID-19 trial. We also excluded patients based on a contraindication to start or continue HCQ including known hypersensitivity to HCQ or chloroquine, a corrected QT interval (QTc) >0.50 s, severe liver or kidney disease, a history of pre-existing maculopathy, and to avoid to the extent possible a dangerous prolongation of the QTc and derived complications [14], those with >11 score points (of a maximum of 21 score points) on a scale assessing the risk of QTc prolongation in hospitalized patients, including age, gender, myocardial infarction or heart failure, sepsis, the use of drugs known to prolong the QTc or diuretics, and hypokalemia [15].

This study was held primarily at the Mexican National Institute of Respiratory Diseases Ismael Cosío Villegas (INER), a referral center for respiratory diseases; and at two additional participating hospitals belonging to the network of High Specialty Regional Hospitals (Hospitales Regionales de Alta Especialidad) in Ixtapaluca and Oaxaca, Mexico. All three are public hospitals that mainly treat uninsured patients and provide free treatment for COVID-19 patients. Centers differed in a) altitude above sea level, with Ixtapaluca and Mexico City sharing a similar mean altitude (2,260m and 2,240m respectively), while Oaxaca is at 1,460 m above sea level; and b) all three centers were designated as COVID-19 hospitals, but INER was converted into a COVID-19-only referral center.

Interventions

Subjects entering the experimental group received HCQ orally or by nasogastric tube, 200 mg every 12 h, for 10 days without an initial higher loading dose. Subjects in the placebo group received an identical sucrose-placebo for 10 days. Patients were treated according to the protocols of the participating Institution under the responsibility of the attending physician, who could prescribe other drugs intended as a specific treatment for COVID-19, but not as part of another drug trial. Physicians-in-charge could also avoid participation in the trial if they considered the patient´s participation to be risky or inadequate or could cancel participation later in the follow-up.

Outcomes

The main outcome was the 30-day mortality rate after randomization. Secondary outcomes included duration in days of invasive mechanical ventilation for patients requiring such a procedure, duration of hospitalization in survivors, and incidence of serious adverse events leading to treatment discontinuation, intervention, or death.

Sample size

The original design considered, under uncertainty of a pandemic in its initial phases, a total randomized population of 600 patients (300 per group) based on an estimation of a 50% reduction in mortality from 15% in the placebo group (two independent proportions), with a study power of 80% and a two-tailed significance alpha of 0.05. An interim analysis was planned, upon completion of one half of the sample. In mid-July, 2020, the rhythm of recruitment was reduced drastically, due to several reasons including patient refusal, that of their relatives, or that of their treating physicians, coinciding with the worldwide suspension of several large trials testing HCQ in which no benefits of the drug were found [1012]. Thus, it became unfeasible to complete the proposed sample size.

Randomization.

Eligible patients were randomized centrally and separately for each participating hospital, and stratified by disease severity. Using an online-dedicated software (http://www.randomization.com), block randomization in groups of 8 with a 1:1 allocation methodology was employed to label flasks (with a numerical code) containing 20 tablets of the experimental drug and the identically appearing and packed sucrose placebo. Person doing the randomization did not participate in recruitment or follow-up or analysis.

Randomization was performed as soon as entry criteria was fulfilled, including the informed consent from patients or relatives, and then treatment or placebo was started in a maximum time-frame of 8 hours afterwards. We considered two separate groups: (a) patients in critical condition specifically under invasive mechanical ventilation and with a disease severity grade 7–9 according to the World Health Organization (WHO) classification [16] with or without renal dialysis or the use of vasoactive drugs, and (b) those without invasive mechanical ventilation, with WHO classification disease severity classification of 4–6, all receiving supplementary oxygen therapy. Other categories of disease severity in the WHO classification, defined by non-invasive ventilation and the use of Extra-Corporeal Membrane Oxygenation (ECMO), were not used in the participating hospitals, and high-flow oxygen devices were prescribed only in 10 patients.

Adverse events were reported regularly to the Institutional Ethics Committees and to the manufacturer of the drug and placebo (Sanofi-Aventis de México, S.A. de C.V.).

Blinding.

Recruiters, patients, treating physicians, nursing staff, and the rest of the treating team, along with the follow-up evaluation monitors and the data-entry personnel, were blinded to group assignment.

Statistical analysis. Analysis was performed primarily as an intention-to-treat. We compared the 30-day death Hazard-Ratio (HR) by means of a Cox proportional-hazard model, considering right-censoring for the surviving patients. Models were fitted crude and adjusted (the pre-defined indicator of outcome) for age, gender, SOFA score at randomization, and the number of previously diagnosed comorbidities as referred by the patient or relative (diabetes, HIV, obesity, high blood pressure, cardiovascular disease, tobacco smoking, alcoholism, asthma, Chronic Obstructive Pulmonary Disease, neurological disease, autoimmune disease, or the use of immunosuppressant’s). Similar models were fit for secondary endpoints in the survivors including a comparison of days of mechanical ventilation, days of hospitalization, time to improvement (time to extubation or time to hospital discharge), and a comparison of serious adverse events including death, but especially cardiac arrhythmia, sudden death, and QTc prolongation. Assumption of proportional hazard in the Cox models was verified for the treatment groups (HCQ or placebo) in all models (primarily by the STATA procedure estat phtest), and was also tested for the covariables in the final adjusted models.

Results

From April 8th to July 12th, 2020, 567 patients presenting at the Emergency Room (ER) were assessed; 211 did not meet inclusion criteria, 11 were included in other trials, and 131 declined to participate (Fig 1). A total of 214 patients admitted to the participating centers with clinical manifestations of COVID-19 and RT-PCR positive for SARS-COV-2, accepted to participate in the trial and were randomized as follows: 158 from INER; 18 from Ixtapaluca; and 38 from Oaxaca, 106 assigned to HCQ, and 108 to placebo (Fig 1). Two patients with a clinical and radiologic presentation consistent with COVID-19, one for each treatment group were randomized without RT-PCR confirmation (the result was delayed) and were finally reported negative for two consecutive tests. The assigned treatment was suspended, but the patients were followed, and analyzed for the main outcome. Four additional randomized patients (three in the HCQ group and one in the placebo group) did not receive the assigned treatment in the hospital ward, and one (in the placebo group) was randomized but participated in a different trial and treatment administration in our trial was suspended.

As described in Table 1, the mean age of the studied individuals was 49.6 ± 12 years, and the majority were males (75%). Comorbidities were present in 66%, obesity in 47%, diabetes in 16%, high-blood pressure in 17%, current tobacco smoking in 11%, and cardiovascular disease in one. Median duration of symptoms before reaching the hospital was 7 days, and median days from admission to randomization were 3 days.

All patients, from their first encounter in the ER, were in respiratory failure, with severe hypoxemia (mean SpO2 by pulse oximeter 65 ± 20%), tachycardia (pulse rate 108 ± 17 beats min-1), and tachypnea (breathing frequency [BF] 32 ±10 breaths min-1) (See S1 Table). At randomization, 162 required invasive mechanical ventilation, 10 were treated with high flow oxygen, and the remaining patients received supplementary oxygen by nasal prongs (See S1 Table) with a mean PaO2/FIO2 of 145 ± 67 in the whole group, 130 ± 54 in those with mechanical ventilation, and 194 ± 80 in those with supplementary oxygen, but already with a slower BF (24 ± 5.9 breaths min-1) and heart rate (85 ± 18 beats min-1) compared with their arrival at the ER. Median SOFA score was 6 points in those under ventilation and 3 points in non-ventilated patients (See S1 Table). Patients from INER more often required mechanical ventilation at randomization (86%) compared with the remaining two other participating hospitals (66% in Oaxaca, and none in Ixtapaluca, respectively).

Use of allocated treatment and suspension of treatment

As seen in Fig 1, seven randomized patients did not receive the allocated treatment, 4 from the HCQ group (one because a negative RT-PCR was reported twice after randomization, and three due to drug loss inside the hospital ward) and three in the placebo group (one with two negative RT-PCR reported after randomization, one due to drug loss in the hospital ward, and one who participated in another Randomized Controlled Trial (RCT). The randomized treatment was received for a mean of 8 days (SD 3) without difference between the two groups (mean number of pills taken from the bottle 16±6). Randomized groups were comparable (Table 1 and S1 Table), but most recruited patients (76%) required mechanical ventilation at the time of randomization. The HCQ group had more males (82% vs. 68%, p = 0.02) but a similar SOFA score, PaO2/FIO2, blood pressure and creatinine upon hospital admission (See S1 Table). All surviving patients completed the 30-day follow-up.

Use of other medications

Use of other medications during the 10-day treatment of HCQ or placebo, was very common: Clarithromycin was prescribed to 146 (68%) patients, and Azithromycin to 50 (23%) of patients, prescribed usually as part of the antibiotic coverage of suspected bacterial pneumonia. A cephalosporin was prescribed to 182 (85%), a carbapenem to 182 (85%), Oseltamivir to 39 (18%), Lopinavir/Ritonavir to 62 (29%), and anticoagulants to 120 (56%). Tocilizumab was not available at the hospitals and was prescribed only in five cases.

Systemic corticosteroids were prescribed to 114 subjects, more than 50% of the study population; the most frequent systemic corticosteroid was Methylprednisolone followed by Dexamethasone without a difference among the treatment groups. Patients who required mechanical ventilation were more frequently prescribed a systemic corticosteroid (Table 2). Methylprednisolone doses varied, but on average were 100 ± 72 mg per day; Dexamethasone doses were 5 ± 2 mg per day.

Outcomes

Among all participating individuals, 39% died: 47% of those requiring mechanical ventilation, and 13% of the remaining participants. No significant difference in the main outcome, 30-day mortality, could be identified in treatment groups (38% in HCQ, 41% in placebo, HR 0.89, and 95%CI 0.58–1.38), either in all participants, (Fig 2) or on separating those with mechanical ventilation and non-ventilated patients with supplementary oxygen. Fig 3 depicts the impact of treatment on mortality, according to the level of respiratory support (mechanical ventilation or supplementary oxygen) and recruitment site. Reported results were considerably influenced by the numerous number of patients being from Mexico City, most requiring mechanical ventilation at randomization. The Relative Risk (RR) of death with HCQ was 0.43 (95%CI 0.09–2.03) in non-ventilated patients, comprising about one quarter of the recruited patients, and was 0.20 in Ixtapaluca (95%CI 0.03–1.39), a site recruiting only 18 patients.

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Fig 2. Time to death in participants, hydroxychloroquine (HCQ) group vs. placebo.

Placebo (continuous line) vs HCQ (dashed line), with no significant difference by the log-rank test.

https://doi.org/10.1371/journal.pone.0257238.g002

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Fig 3. Impact of HCQ in the non-adjusted relative risk of death at 30 days.

Stratified by the presence of invasive mechanical ventilation and by the site of recruitment.

https://doi.org/10.1371/journal.pone.0257238.g003

Secondary outcomes were not significantly different between treatment groups: in terms of days of mechanical ventilation (13.8 ± 12 days in HCQ vs. 14.0 ± 12 days in placebo, HR 0.98, 95% CI 0.64–1.52), days of hospitalization (17.8 ± 11 days in HCQ vs. 18.1 ± 12 days in the placebo group, HR 1.01, 95% CI 0.72–1.43), or time to improvement (14.2 ± 10 days in HCQ vs. 15.2 ± 10 days in the placebo group, HR 1.05, 95% CI 0.75–1.49) (Table 3).

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Table 3. Outcomes of the trial n/total patients (%) or means (SD).

https://doi.org/10.1371/journal.pone.0257238.t003

Adverse events

No significant difference in serious adverse events, including deaths was observed in the treatment groups (52% in HCQ, vs. 54% in placebo, HR 0.95, 95% CI 0.65–1.40) (Table 2). Eight patients had treatment discontinued due to an adverse event (four in each group), and in 20, the attending physician discontinued treatment (eight in the HCQ group and 12 in the placebo group). Qtc prolongation (>0.5 s) was identified in nine subjects and in six it was reported as a serious adverse event. Nevertheless, no significant difference was found between the treatment groups. Increase in serum creatinine levels was one of the most frequently reported adverse events, without difference between treatment groups (p = 0.44): 144 subjects had an increase in serum creatinine of >1.3 times the upper limit of normal of the clinical laboratory, and in 40 subjects it was reported as a serious adverse event, with 14 of these patients treated with hemodialysis.

The mortality predictors analyzed were the following (a) requirement of intubation and mechanical ventilation (HR 4.3, 95%CI 2.0–9.2); (b) male gender (HR 1.7, 95% CI 0.96–2.92); (c) age>65 years (HR 1.67, 95% CI 0.91–3.1); (d) number of reported comorbidities (HR 1.65, 95% CI 1.2–2.2); (e) obesity (HR 1.64, 95% CI 1.1–2.5); (f) body mass index (HR 1.06, 95% CI 1.03–1.10); and (g) SOFA score (HR 1.2, 95% CI 1.1–1.3). On including all previous variables in a multivariate Cox proportional hazard model, the requirement of invasive mechanical ventilation (HR 3.9, 95%CI 1.8–8.4), male sex (HR 1.8, 95% CI 1.02–3.1), body mass index (HR 1.07, 95% CI 1.02–1.12), and number of comorbidities (HR 1.49, 95%CI 1.02–2.2), remained significant predictors of in-hospital death. In a Cox model including age, sex, number of comorbidities, SOFA score, mechanical ventilation, and site, two variables considerably increased the risk of death: mechanical ventilation at randomization (HR 16.4, 95%CI 2.2–121), and recruitment in Ixtapaluca (HR 12.6 95%CI 1.5–106). Patients from Ixtapaluca comprised a small group (n = 18), none requiring mechanical ventilation at randomization but 4/6 patients who subsequently died required mechanical ventilation within a short time after randomization.

Nosocomial infections

Hospital acquired infection was defined as a positive culture taken 72 hours after admission along with clinical signs of infection. During the 30-day follow-up, 94 patients (46%) were reported with a healthcare-related infection, 47 in the placebo group and 45 in the HCQ group, 86/92 patients were on mechanical ventilation, and the remaining patients were on supplementary oxygen. Sources of bacterial growth in culture were from airways secretions (20%), from blood (16%), and from urine (54%). The isolated bacteria were 13% Staphylococcus aureus, 26% Pseudomonas aeruginosa, 4% Stenotrophomonas maltophilia, 14% Acinetobacter baumanni, 19% Klebsiella pneumoniae, Streptococcus pneumoniae 1%, 9% Candida spp., 5% Enterobacter spp., and, 16% Escherichia coli. No difference by treatment group was found in the bacteria isolated except in the Acinetobacter present in 10 individuals of the placebo group and in three of the HCQ group (p = 0.045) (S2 Table). The presence of nosocomial infection (any type or respiratory), co-treatment with Azithromycin or other antibiotics, administration of systemic steroids, hemodialysis, or the requirement of vasopressors did not increase the risk of death once mechanical ventilation, age, gender, SOFA score, and comorbidities were taken into account.

From the 214 patients, 145 had at least one RT-PCR test during hospitalization in addition to that taken at recruiting (50 had 1 more, 42 had 2, 31 had 3 and 22 had 4), and 71 of them reached a negative test, whereas in 74 all tests done during the hospital follow-up were positive.

The median time to a negative test in 50% of individuals was 17 days, identical in the HCQ and placebo groups (log-rank P = 0.95, Cox HR 0.99, 95%CI 0.62–1.58; S1 Fig).

Discussion

In a randomized trial compared with placebo, HCQ did not significantly reduce the 30-day mortality of an especially severe and hypoxemic group of patients with COVID-19. Secondary outcomes also failed to be improved by HCQ, but importantly severe toxicity was not observed to a greater degree in treated patients, despite the concomitant use of other drugs, including Azithromycin. Azithromycin was commonly prescribed as part of an empiric antibiotic for pneumonia, but also, especially at the beginning of the pandemic in Mexico, as an attempt to modify the natural course of the COVID-19. However, the confidence interval is wide and includes possible relevant benefits and harms due to low power. Nonetheless, and fortunately, information can be compiled later in meta-analyses and systematic analyses.

These results add up to growing number of publications that conclude a lack of effect of HCQ on mortality (S3 Table). Most studies, unlike this one, use loading doses or high HCQ doses in their design. While some of them look into severe COVID19 patients, most include only mild or ambulatory patients. Some studies are more focused in viral clearance and other outcomes rather than mortality itself. This study builds up to the current evidence in showing no effect of administering low dose HCQ in severe COVID-19 patients.

Risk factors for death in our group included old age, male gender, SOFA score, body mass index, and the need for mechanical ventilation, the latter found to be the most significant. Mortality of the studied population was very high compared with severe patients at our own hospitals prior to COVID-19, but the majority of our patients were in respiratory failure with mechanical ventilation, arriving with severe hypoxemia (mean SpO2 63%), requiring vasopressor support, and after several days of symptoms (7 days on average).

All three hospitals participating in the trial possessed important surge-capacity preparations for COVID-19. Since the epidemic developed in China, all three hospitals aimed at preparing a larger number of beds with access to mechanical ventilation, finally reaching around three times the original number of beds available. The National Institute of Respiratory Diseases has a total of 178 beds in seven wards devoted to respiratory diseases, and 30 beds with a ventilator in the Intensive Care Unit, and in the ER. The Institute was transformed into a hospital with all beds with access to mechanical ventilation. However, trained personnel for that number of intensive care beds was scarce, and scarcity increased because of COVID-19 infections among the personnel, and especially after a presidential decree that sent home all workers more than 65 years of age or with comorbidities.

Even though new personnel was hired, the majority were recently graduated physicians, nurses, and allied health personnel with little experience with critical patients. With the preparation of the hospital, the capacity of the mechanical ventilation services was not overwhelmed as occurred in other countries before. Instead, limitations derived from insufficient personnel with proper training in intensive care, and the occasional scarcity of medicines, and Personal Protection Equipment. The frequency of nosocomial infection was high, although in Cox proportional hazard models the presence of these nosocomial infections did not increase mortality once mechanical ventilation was taken into account.

Although this was a trial with proper randomization and blinding, reducing the possibility of biases due to known or unknown variables, the trial ended short of the planned sample size. Increasing the number of recruited patients proved very difficult with a growing number of refusals by patients, relatives, and treating physicians once the large trials, including RECOVERY, SOLIDARITY, and that supported by NIH, suspended their treatment arms with HCQ due to a lack of beneficial effect, although no harm from HCQ was reported. Information of these suspended trials traveled by newspapers and media [17], and reached the widespread population with a great impact, even before a proper peer-reviewed publication was available and analyzed, because of the considerable prestige and importance of the institutions responsible for the trials. It is understandable that in the middle of a pandemic, a rapid presentation of results of large, proper clinical trials may help to select the best treatments to improve patients or avoid drugs lacking benefit or generating harm but, on the other hand, it lead to the premature termination of several trials.

As a consequence, the sample size recruited is small and unfortunately, it is possible to miss relevant beneficial or harmful effects. Even though the best estimate of the impact of HCQ on mortality was 0.88, the confidence interval was from 0.51, implying a reduction of mortality to one half of that observed in the placebo group, to 1.53, a 50% increase in mortality compared with the placebo group. Sample size (214) had only a 80% study power to detect a relative risk of dying of 0.57 or an RR of 1.46 in the case of HCQ being harmful, both substantial and unlikely.

We and others could demonstrate that HCQ side effects can be minimized with proper follow-up keeping track of the QTc segment and utilizing instruments such as the multivariable Tisdale´s scale score [15] to predict individuals at higher risk of QTc prolongation and its complications, combined with a relatively low dose of HCQ, safe even for prolonged periods for the majority of patients, and lacking a loading dose. Our population was using different types of medications including Azithromycin, several antibiotics, systemic corticosteroids, and Lopinavir/Ritonavir, in an attempt to improve survival, the majority of the time before any drug demonstrated improvement of patients with COVID-19.

Conclusions

In summary, no beneficial effect or significant harm could be demonstrated in our randomized controlled trial including 214 patients, using relatively low doses of HCQ compared with placebo in hospitalized patients with severe COVID-19. However, the study was stopped early and likely was underpowered for finding a statistically and clinically important difference in the primary outcome.

Supporting information

S1 Fig. Time to negative RT-PCR.

Time to a negative RT-PCR test during hospitalization in hydroxychloroquine (HCQ) and placebo groups, with overlapping curves and no significant difference between them. In the table, the number of individuals at risk as a function of time. Sixty nine of 214 participants only had the initial test, especially in Oaxaca, as the hospital sends the samples to a state laboratory and did not accept additional samples from the same patient. The number of tests done during hospitalization was proportional to duration of hospitalization.

https://doi.org/10.1371/journal.pone.0257238.s001

(TIF)

S1 Table. Key measurements at randomization.

https://doi.org/10.1371/journal.pone.0257238.s002

(DOCX)

S2 Table. Isolated microorganisms.

Isolated microorganisms in different clinical samples.

https://doi.org/10.1371/journal.pone.0257238.s003

(DOCX)

S3 Table. Randomized controlled trials on hydroxychloroquine for SARS-COV-2.

https://doi.org/10.1371/journal.pone.0257238.s004

(DOCX)

S1 Checklist. CONSORT 2010 checklist of information to include when reporting a randomised trial*.

https://doi.org/10.1371/journal.pone.0257238.s010

(DOC)

Acknowledgments

We thank all the study participants. Support for the trial was received from the participating hospitals: Instituto Nacional de Enfermedades Respiratorias, Hospital Regional de Alta Especialidad de Ixtapaluca and Hospital de Regional de Alta Especialidad de Oaxaca.

The Research Group on hydroxychloroquine for COVID-19 was also formed by Drs. Luis Felipe Jurado-Camacho, Teresa Aguirre-Pérez, Joel Armando Vásquez-Pérez, and Alejandra Ramirez-Venegas, from the Instituto Nacional de Enfermedades Respiratorias Mexico City, and Drs. Gabriela Tapia-Pastrana & Nestor G. Cruz-Ruiz from the Hospital de Referencia de Alta Especialidad Oaxaca. The group was lead by Dr. Rogelio Pérez-Padilla who can be contacted via email at perezpad@gmail.com.

Supplementary figures and tables, have been attached separately. They can be found on the editorial director’s website.

De- identified data base had been attached on the editorial director´s website.

References

  1. 1. Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020;395(10223):514–523. pmid:31986261
  2. 2. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020. pmid:32007143
  3. 3. Holshue ML, DeBolt C, Lindquist S, et al. First Case of 2019 Novel Coronavirus in the United States. The New England journal of medicine. 2020;382(10):929–936. pmid:32004427
  4. 4. Zhou P, Yang XL, Wang XG, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270–273. pmid:32015507
  5. 5. Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. The New England journal of medicine. 2020;382(8):727–733. pmid:31978945
  6. 6. World Health Organization. Coronavirus disease (COVID-19) Situation Report–179. 2020; http://www.who.int/docs/default-source/coronaviruse/situation-reports/20200717-covid-19-sitrep-179.pdf?sfvrsn=2f1599fa_2. Accessed July 18, 2020.
  7. 7. Wang M, Cao R, Zhang L, et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell research. 2020;30(3):269–271. pmid:32020029
  8. 8. Randomised Evaluation of COVid-19 thERapY (RECOVERY) Trial. No clinical benefit from use of hydroxychloroquine in hospitalised patients with COVID-19. 2020; http://www.recoverytrial.net/news/statement-from-the-chief-investigators-of-the-randomised-evaluation-of-covid-19-therapy-recovery-trial-on-hydroxychloroquine-5-june-2020-no-clinical-benefit-from-use-of-hydroxychloroquine-in-hospitalised-patients-with-covid-19.
  9. 9. World Health Organization. WHO discontinues hydroxychloroquine and lopinavir/ritonavir treatment arms for COVID-19. 2020; http://www.who.int/news-room/detail/04-07-2020-who-discontinues-hydroxychloroquine-and-lopinavir-ritonavir-treatment-arms-for-covid-19.
  10. 10. National Institutes of Health. NIH halts clinical trial of hydroxychloroquine. 2020; http://www.nih.gov/news-events/news-releases/nih-halts-clinical-trial-hydroxychloroquine. Accessed June 20, 2020.
  11. 11. Kumar J, Jain S, Meena J et al. Efficacy and safety of hydroxychloroquine/chloroquine against SARS-CoV-2 infection: A systematic review and meta-analysis. Journal of Infection and Chemotherapy, (2021), 882–889, 27(6) pmid:33678548
  12. 12. Axfors C, Schmitt A, Janiaud P et al. Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials. Nature Communications, (2021), 12(1)
  13. 13. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials. The BMJ. 2010;340.
  14. 14. Mercuro NJ, Yen CF, Shim DJ, et al. Risk of QT Interval Prolongation Associated With Use of Hydroxychloroquine With or Without Concomitant Azithromycin Among Hospitalized Patients Testing Positive for Coronavirus Disease 2019 (COVID-19). JAMA cardiology. 2020;5(9):1036. pmid:32936252
  15. 15. Tisdale JE, Jaynes HA, Kingery JR, et al. Development and validation of a risk score to predict QT interval prolongation in hospitalized patients. Circulation. Cardiovascular quality and outcomes. 2013;6(4):479–487. pmid:23716032
  16. 16. Marshall JC, Murthy S, Diaz J, et al. A minimal common outcome measure set for COVID-19 clinical research. The Lancet Infectious Diseases. 2020;20(8):e192–e197. pmid:32539990
  17. 17. Saitz R, Schwitzer G. Communicating Science in the Time of a Pandemic. JAMA. 2020;324(5):443. pmid:32749498