Keywords
COVID-19, SARS-CoV-2, Convalescent plasma, mortality, clinical improvement
This article is included in the Emerging Diseases and Outbreaks gateway.
This article is included in the Coronavirus collection.
COVID-19, SARS-CoV-2, Convalescent plasma, mortality, clinical improvement
Since the emergence of the new coronavirus COVID-19 outbreak in late 2019, the outbreak has continued to spread exponentially across the world. As of early April 2021, the global cumulative incidence has exceeded 130 million reported cases, with approximately three million associated deaths.1 To date, an effective antiviral therapy for this disease does not exist. Therefore, it is imperative to find an alternative treatment strategy, especially for severe COVID-19 patients.2,3 For more than a century, convalescent plasma (CP) therapy, as a classic adoptive immunotherapy, has been used to effectively prevent and treat many infectious diseases. CP therapy has been successfully used in the treatment of severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and the 2009 H1N1 pandemic with adequate effectiveness and protection over the past two decades.4,5 For patients with serious or life-threatening COVID-19, the United States of America (USA) Food and Drug Administration (FDA) approved the emerging use of CP at the end of March 2020. While the use of CP might be a promising therapeutic approach, the results from previous studies are not consistent and the evidence supporting its use for the treatment of COVID-19 are not clear, therefore there is a need for further investigations.2,6
Many factors might influence the therapeutic effectiveness of CP, such as patients’ age, comorbidities, disease stage, and concomitant treatment.7,8 Other factors are related to the plasma donor, most importantly titer of the antibody. Additional factors are associated with the plasma administration protocol such as the time of administration and volume of plasma.9,10
Based on the high number of patients that were treated with CP in AL Najaf, Iraq during the first wave of this pandemic, we designed this study to evaluate the effectiveness of CP therapy in hospitalized patients with COVID-19, by analyzing the variables related to the patients, donors and the plasma administration practice.
A multicenter, retrospective cohort study was conducted on adult patients that were diagnosed with severe or critical COVID-19. The study involved a retrospective assessment of the medical records of patients who were admitted to tertiary specialized hospitals (Al-Hakeem and Al-Amal hospitals). Based on the treatment protocol whether it included CP therapy or not, the patients were allocated into two groups; the standard therapy group, that consisted of patients who received the standard therapy which mainly included antiviral agents, antibiotics, steroids and anticoagulants, according to the Iraqi ministry of health (MOH) approved guidelines.11 The second group was the plasma therapy group that consisted of patients who received CP combined with the standard therapy.
The study included patients that were admitted to Al-Hakeem and Al-Amal hospitals from June 1, 2020 till August 31, 2020, in Al-Najaf Province, Iraq. Al-Hakeem hospital is the first center for the admission of COVID-19 patients in Najaf, and it contains 264 beds. Al-Amal hospital has 170 beds, including 50 intensive care unit (ICU) beds, and it has been assigned as a referral center for severe and critical cases of COVID-19.
The Scientific Research Committee at Al-Najaf Health Directorate approved this study which involved Al-Hakeem hospital and the main blood bank with the approval number (19421), and Al-Amal hospital with approval number (30418). This study was also granted approval by the ethics and scientific committee of faculty of pharmacy/the University of Kufa with approval number (2403). All participants gave written informed consent to participate in this study. The current study is registered at Clinical Trials.gov (https://clinicaltrials.gov/ct2/show/NCT04764747) with the registration number (NCT04764747).12
Eligible participants were 18 years of age or older, with COVID-19 infection confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR) test, who were hospitalized with severe or critical case of COVID-19. We excluded patients who did not require oxygen therapy, patients that were discharged or died within 48 hours of admission, patients with a history of allergy to plasma transfusion, and those with incomplete data on their medical records.
The study participants with severe COVID-19 were defined as patients who had oxygen saturation of less than or equal to 93%, therefore, they needed oxygen therapy. Patients with critical cases of COVID-19 were defined as patients who needed mechanical ventilation and ICU observation.2,13
The medical records of patients diagnosed with COVID-19 were taken from the archive unit of the tertiary specialized public hospital and reviewed retrospectively. Data collection period was from September 2020 to February 2021. Data was collected by using a chart extraction sheet which is used to collect information from patients' medical records. These medical records were selected based on chronological categorization in the statistical unit according to admission date. Blind data abstraction was performed for this study. Also, two senior physicians reviewed the data extracted from the medical records and approved the abstraction process. The chart extraction sheet consists of patients' demographics (age, gender, occupation, address), comorbidities (hypertension, coronary artery disease, type 2 diabetes mellitus (T2DM), obstructive airway disease, and chronic kidney disease), date of admission, date of discharge, length of stay in the hospital, symptoms (fever, cough, shortness of breath, fatigue, headache, sore throat, nausea and vomiting, oxygen-support categories were defined either as ambient air, low-flow oxygen, high-flow oxygen, and mechanical ventilation,14 vital signs on admission (temperature, heart rate, oxygen saturation (SpO2%)). Additionally, laboratory parameters such as white cell counts, lymphocytes count, serum creatinine, D-dimer, ferritin, aspartate aminotransferase (AST), and alanine aminotransferase (ALT), were included. Lastly, type of medications, and outcomes, which was defined as in hospital mortality and clinical improvement (according to the modified World Health Organization (WHO) ordinary scale.),13,14 were considered in the chart sheet. Information of plasma donor that was obtained from the plasma unit of the main blood bank consisting of donors' demographics, ID code of plasma bottle, and immunoglobulin G (IgG) titer (See Underlying data: http://doi.org/10.5281/zenodo.498205215) was also included.
In this study the primary outcome was the in-hospital mortality rate (MR) (number of deaths with a 21-day time frame). The secondary outcome was the association with various predictors (sociodemographic, clinical, laboratory variables and medications). Both these outcomes were examined with uni- and multivariate analysis.
The time to clinical improvement was also assessed. Clinical improvement for COVID-19 was defined as a reduction of two-points in a modified six-point scale, discharged or achieved criteria of discharge, which was defined as clinical recovery (i.e., SpO2 equal to 94% on room air, fever subsided, and relief of cough, all continued for at least 72 hours) (one-point); hospitalized without oxygen therapy (two-points); hospitalized on low-flow oxygen therapy (three-points); hospitalized on high-flow oxygen therapy (four-points); hospitalized and required mechanical ventilation (five-points); death (six-points).14,16
The sample size was based on all medical records available in the archive unit for patients admitted to these public hospitals during June, July, and August 2020. Total of 312 patients included in the statistical analysis as illustrated in (Figure 1). Post hoc power analysis of sample size based on mortality outcome and level of significance at alpha = 0.05 (type I error) yielded statistic power of 97.3% (1- type II error) in detecting the deference between the two group of the study.
Normality test was performed for all variables. Normally distributed mean was used to present the data, while for variables with non-normal distribution median and interquartile range (IQR) (25% to 75% percentile range) were used. Chi-square test or Fisher exact test was used to analyze the discrete variable. To assess the difference in continuous variables; two-samples t-test (in normally distributed variables), and Mann-Whitney U test was used in variables with non-normal distribution. Kaplan–Meier analysis17 was used to estimate the median time of the cumulative percentage of survival or clinical improvement, the Log-rank test was used to calculate the p-value and to compare the significance between the two groups. Lack of clinical improvement at day 21 and death before day 21 was considered as right censored for that day.
Univariate analysis was performed using Cox regression for all patients’ variables, and if p-value < 0.1, the variables were included in the multivariate Cox proportional hazard model to allow adjustment of certain confounder variables. The hazard ratio (HR) was calculated by using the Cox proportional hazard regression analysis, to find the time-dependent association of the model, in order to calculate the 95% confidence interval. Missing data were excluded from the final analysis.
SPSS 22.0.0 (Chicago, IL), GraphPad Prism version 8.1.0 for Windows (https://www.graphpad.com/) was used for the statistical analysis. P-value was considered statically significant if less than 0.05.
In this cohort the mean age of the patients was 55.1(±13.6) years, and 70.2% were male. Overall, 82% of the hospitalized patients had cough and 81.4% had shortness of breath (SOB). The mean SpO2 was 82.7 % (which is consistent with the disease severity stage of the patients included in the study). All baseline characteristics of patients’ demography, comorbidities and clinical parameters of the two groups were not statistically significant, except for azithromycin and lopinavir/ritonavir that were significantly higher in patients treated with plasma therapy, while acetaminophen and favipiravir were significantly higher in patients treated with the standard therapy (Table 1). Plasma characteristics are illustrated in Table.
The survival rate was 90.2% in the plasma therapy group compared to 84.2% in the standard therapy group, after 7 days. Additionally, the survival rate in the plasma therapy group was significantly higher (77.7%) compared to the standard group (60.5%) after 14 days (p-value = 0.010). This trend continued after 21 days in the plasma group (68.3%) vs. (46.8%) in the standard group, with a mean survival time of 17.6 in the plasma group and 15.3 in the standard therapy group (Table 3).
Kaplan-Meier survival analysis revealed statistically significant improvement in the survival in the plasma therapy group, compared with the standard therapy group (Figure 2).
The univariate analysis showed that the use of plasma compared to standard therapy resulted in a reduced risk of death by 54.7%. The results from the overall study population included in the multivariate model showed that plasma therapy has a statistically significant effect on improving the survival rate and it can be considered as an independent predictor of mortality. This adjusted analysis revealed a further reduction in the HR of the plasma therapy group from 0.557 (0.352-0.883) in unadjusted analysis to 0.368 (0.177-0.765). This meant that the reduction in the risk of death reached 63.2%, thus indicating that plasma therapy is more effective in improving survival rates. The increase in white blood cells (WBC), D-Dimer, and T2DM were independent predictors of mortality rate, while both the use of plasma and rivaroxaban reduced the risk of MR independently, as shown in Table 4.
In the multivariate analysis for the plasma therapy group, the result showed that as independent predictors of mortality, T2DM and D-Dimer are associated with increased mortality, while high antibody titer is associate with decrease mortality as illustrated in Table 5.
Interestingly, the median time to improvement was three days faster in plasma therapy than standard therapy (8 days vs. 11 days). Kaplan-Meier analysis showed a significant statistical difference between the two groups. The cumulative incidence of clinical improvement was significantly higher in patients who received plasma therapy (44.1%) then those who received standard treatment (18.1%), after 7 days. Treatment after 14 days indicated that the cumulative incidence of clinical improvement was higher in the plasma therapy (67.1%) vs. standard therapy group (58.8.9%). Additionally, 21 days post-treatment the cumulative incidence of clinical improvement was still significantly higher in plasma therapy (74.3%) compared to standard therapy group (65.0%) (Table 6 and Figure 3)
COVID-19 is a rapidly evolving infection that lacks an effective antiviral treatment. CP therapy as an available treatment can potentially be an effective and lifesaving treatment for this disease.9 Several previous outbreaks of respiratory viral infection have been treated by CP such as SARS-CoV and MERS-CoV18. However, in patients with COVID-19, the effectiveness of CP is not consistent, and it is dependent on many prognostic factors,9,19 therefore, we designed this study to evaluate the effectiveness of CP in hospitalized patients with COVID-19 to explore the factors related to the patients, donors and CP administration practice that might influence the therapeutic outcome.
In this retrospective cohort study, the plasma therapy showed considerable survival improvement as evident by a reduction in the risk of in-hospital mortality after 21 days, compared to the patients who received standard therapy. Also, the time to clinical improvement was significantly faster in patients on CP combined with standard therapy, than those on standard therapy alone. The plasma therapy had three days shorter median time to clinical improvement compared to the standard therapy group. Additionally, the cumulative incidence of clinical improvement was 74.3% in the plasma therapy group vs. 65% in the standard therapy group.
These positive effects of plasma therapy on survival rate and clinical improvement in the present study are in line with the findings from a retrospective cohort study by Xinyi Xia et al.20 In this study, 1568 patients with severe and critical COVID-19 were grouped into 1430 patients who received standard therapy and 138 patients who received plasma therapy.20 The results indicated that the patients had improved clinical symptoms and mortality after the transfusion with CP.20
Similarly, a prospective study conducted on 316 patients with severe and/or critical COVID-19 infection, showed that the administration of CP significantly reduced mortality and improved clinical symptoms.21 Additionally, improved clinical symptoms and mortality after administration of CP have been recently reported by a multicenter non-randomized prospective interventional cohort study on patients with a moderate or severe stage of COVID-19.22
Strong evidence supporting these beneficial effects of plasma therapy on survival and clinical improvement was also reported in several SARS and COVID-19 meta-analysis studies.10,23,24
The positive effects of CP on patient survival and clinical improvement may be attributed to the antiviral mechanism of CP via neutralizing antibodies that enhance the viral clearance and provides immunomodulation via the anti-inflammatory effect. Furthermore, the control of overactive immune response by preventing complement activation and blocking autoantibodies, as well as regulating the hypercoagulable state, can prevent lung damage and bad prognosis.25
However, the results from plasma therapy are not always consistent, as indicated by the results of a particular systematic review and meta-analysis, which included 10 randomized control trials (RCTs) with over 10,000 patients.26 Simonovich et al., demonstrated that CP therapy was not beneficial for mortality and improvement rate in severe patients with COVID-19, however the time of plasma transfusion was considered to be the limitation of their study.27 In another RCTs, CP therapy did not reduce mortality or the progress in disease severity, however, about 2/3 of patients received plasma with low antibodies titer, and the remaining patients receiving plasma without antibody detections.28 Also, the preliminary analysis from a very recent RTCs did not show survival improvement in hospitalized patients with either confirmed or suspected COVID-19. The possibility of different virus variants between the donor and recipient and the time of CP administration, could explain the non-significant findings of CP in COVID-19 in this study.29 In general, these discrepancies and mixed results regarding the benefits of CP in COVID-19 mainly is dependent on many patients related factors such as age, comorbidities, clinical characteristics, degrees of disease severity, as well as variations in medication use in standard therapy. Most importantly the donors' related factors such as antibody titers must be considered, along with the plasma administration protocol including the volume administered and the time of administration.9,10,19
In the present study, the confounding effects of these variables on the primary outcome were explored by multivariate analysis which confirmed the beneficial effect of plasma in reducing the risk of mortality independent of other variable effects. It is worth mentioning that most patients in this study were administered plasma therapy within the first two days of admission to the hospital. Also, the plasma average antibody IgG index was high (16.7 ± 10.8), which is considerably associated with a reduced risk of death. Consistently, a retrospective study in the USA on 3082 hospitalized patients with COVID-19 has revealed that the transfused plasma with high IgG antibody levels were correlated with a lower risk of mortality, compared to the transfused plasma with low antibody titer.30 Regarding the time of administration, RCTs in Argentina that included 160 elderly patients, showed that the early administration of CP within 72 hours of the onset of symptoms was associated with a lower risk of progression to severe COVID-19 and a lower risk of death, in comparison to the control group.31 T2DM patients and individuals with a high level of D-dimer and WBC were associated with an increased risk of death. Comparable findings were also reported from previous studies.32,33
Our study has some limitations. Firstly, the study design was retrospective, which was subjected to high effect of the cofounders. We tried to reduce that risk by increasing the smaple size (reduce type II error); in addition adjusted analysis (multivariate regression) was used, in order to reduced the effect of cofounders. Second, the time from onset of symptoms to hospital admission was not known, however at the beginning of the pandemic in Iraq, most of the patients were referred to the hospital, once their PCR test was positive.
Therapy with PC in combination with standard therapy independently improved survival in hospitalized patient with severe or critical COVID-19. We recommend a large double-blind randomized trial with emphasis on controlling the factors related to the plasma administration protocols.
Zenodo: Evaluating the effectiveness of convalescent plasma therapy and the factors that influence the therapeutic outcome in hospitalized COVID-19 patients: A retrospective cohort study.
http://doi.org/10.5281/zenodo.4982052.31
The project contains the following underlying data:
Database: Data for CP in COVID-19 patients.
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
The authors wish to express their gratitude to statistic unit staff in Al-Hakeem Hospital and Al-Amal Hospital, and medical staff in the plasma unit in the main blood center in Najaf, Iraq for their collaboration.
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Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
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Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: COVID-19 convalescent plasma; emerging pathogens
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