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. 2022 Nov 10;17(11):e0277413. doi: 10.1371/journal.pone.0277413

Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: A retrospective cohort study

Shokoofeh Zamani 1, Mohammad Alizadeh 2, Ehsan Shahrestanaki 3, Sahar Mohammadpoor Nami 3, Mostafa Qorbani 3, Maryam Aalikhani 4, Saeed Hassani Gelsefid 3, Nami Mohammadian Khonsari 3,*
Editor: Tai-Heng Chen5
PMCID: PMC9648785  PMID: 36356035

Abstract

Introduction

Since the late COVID-19, many countries have faced various surges and peaks within the number of infected. Iran was one of the countries that faced many surges and peaks within these years and faced many inadequacies and shortages of resources and hospital beds. Hence the healthcare system started using in-hospital medication such as Remdesivir in outpatients to reduce the load of patients admitted to the hospital. This study aimed to evaluate and compare the reported signs, symptoms, and outcomes of COVID-infected hospitalized and out-patients receiving Remdesivir.

Methods

In this retrospective cohort study, 214 patients (121 outpatient and 93 hospitalized) with moderate levels of Covid infection between October 2021 and February 2022 were studied. Both groups were treated with 200mg of Remdesivir, followed by 100 mg daily intravenous injections for five days; signs and symptoms, such as pain, shortness of breath, cough, fever and etc., of patients at the initiation and the end of treatment were recorded. Moreover, the patients’ blood oxygen saturation was assessed two to three times a day, and the mean of the recorded measures was considered as the daily oxygen saturation. The outpatient group had to visit the hospital daily for treatment and assessment. At the treatment’s end, mortality rates, disease signs, and symptoms alleviations were compared between the groups.

Results

The outpatient and hospitalized group’s mean age was 40.30 ± 12.25 and 37.70 ± 12.00 years, and 51.2% and 55.9% were males, respectively. There was no statistical difference between baseline and clinical characteristics in the outpatients and hospitalized groups. After adjusting for oxygen saturation at baseline and gender in the multivariable Cox regression analysis, the risk of death did not statistically differ between the hospitalized and outpatient group (hazard ratio: 0.99, 95% confidence interval: 0.39–2.50)) at the end of the study.

Conclusion

Based on the results of this study, the outcome, signs, and symptoms of inpatient and outpatient Remdesivir treatment groups did not differ significantly. Hence in COVID-19 surges where we have limitations in admitting patients, outpatient Remdesivir treatment for those without any underlying diseases can be a proper management method.

Introduction

Since the late COVID-19 pandemic, many countries have endured severe casualties [1]. Despite protective measures, treatments, and even vaccinations, surges in the number of infected were seen [2–4]. Within these surges, the number of infected increased drastically, and countries faced insufficient hospital beds, personnel, and resources. This inadequacy is of great importance since it can result in massive mortalities and extra expenses for the healthcare system and the patients; moreover, this shortage of services and supplies affects hospital referees other than the COVID infected as well [5]. With the outbreaks of various subtypes of the COVID-19 virus, countries worldwide experienced several peaks and surges within the infected [2, 3]. Iran was one of the countries that faced many surges and peaks within these years, and many difficulties arose from the vast number of the infected [6]. Hence in these desperate times, desperate measures had to be taken. One of these measures was using in-hospital medication such as Remdesivir in outpatients to reduce the load of patients admitted to the hospital. Remdesivir is a broad-spectrum antiviral agent that showed some promise in treating COVID patients. This drug is administered via intravenous injection and was used solely as an in-patient drug [7].

Nonetheless, under the circumstances, Iran’s healthcare system had no choice but to design an outpatient protocol for Remdesivir use, and with this scheme, the number of hospitalizations due to COVID-19 dropped dramatically. However, this decision was solely based on the shortage of personnel, supplies, and hospital beds, and no study was done on this matter to compare and evaluate the therapeutic effects and the outcome of the use of this drug among admitted and out-patients. Iran was among the very first countries that approved the use of this drug as an outpatient drug. Thus this study aimed to evaluate and compare the reported signs and symptoms and the outcome of COVID-infected hospitalized and out-patients receiving Remdesivir in a retrospective cohort study.

Methods

This retrospective cohort study assessed all the COVID patients referred to the Imam Ali hospital of Alborz university of medical sciences, Karaj, Iran, from first October 2021 until the end of February 2022.

Sampling

Due to the retrospective nature of this study and the significance of possible confounders, we adapted explicit inclusion and exclusion criteria to homogenize the hospitalized and outpatients for a more precise comparison. The included patients had to be between the ages of 20 to 60, with an oxygen saturation between 88 to 93% and within the first seven days of the initiation of symptoms. Moreover, having a positive polymerase chain reaction (PCR) test alongside a Computed tomography (CT) scan of the lungs was necessary. Only patients with bilateral round morphology ground-glass opacities affecting three to four pulmonary lobes without any signs of pleural effusion, cavitation, fibrosis, and bronchiectasis were included. The participants had to be nonsmokers without any underlying conditions, diabetes or hypertension, and obesity. The patients who took medication of any kind, seven days prior to their referral were excluded from the study. All patients had to address and follow the exact same treatment protocol. Only those vaccinated with the first dose of the Sinopharm COVID vaccine were included in the study. The grouping of the participants was solely based on the availability of hospital beds. If hospital beds were not available for our referral patients, they had the choice to be treated as outpatients or go to another hospital. We ensured that outpatients included in this study had proper home care and a medical oxygen cylinder at home.

Sample size

The sample size was determined according to previous studies [8, 9]. By considering alpha and beta errors of 0.05 and 0.2, respectively, and a mortality risk in the hospitalized and outpatients 11% [8] and 1% [9] (risk difference of 10%) the sample size was determined 178 subjects using G-power program [10] (89 participanrs in each group).

Data collection

All the patients underwent a thorough medical assessment, and all patients who fell within our inclusion criteria were included in this study. The age and sex of the patients were recorded. Their initial symptoms, including coughs, presence of any pain, shortness of breath, and vital signs at the time of referral, were recorded. In the admitted patients, the oxygen saturation was assessed with a pulse oximeter every six hours, four times a day, and the mean of the recorded values was considered the daily oxygen saturation. Similarly, for the out-patients, the oxygen was measured with a pulse oximeter when they visited the hospital for their Remdesivir treatment and six hours after Remdesivir administration. The mean of the recorded values was considered as their oxygen saturation. We assessed our patients’ shortness of breath by categorizing it into four subgroups. No shortness of breath during ordinary daily activity, mild shortness of breath during routine daily activity, shortness of breath during routine daily activity; however, being at ease while resting (this was considered as moderate shortness of breath), and shortness of breath at all times (this was considered as severe shortness of breath). To assess pain, we asked our participants to rate their current pain (including headache, backache, muscle ache, etc.) from 0, meaning the absence of any pain, to 10, meaning the worst pain they ever endured. Pain evaluation was done three times (once at the beginning of treatment, the second at the end of Remdesivir treatment, and the third time when the patient fully recovered). Body temperature was assessed using an analogue medical thermometer during medical examinations. An oral recorded temperature above 37.5 degrees Celsius (C) was considered as the presence of fever. For analytic purposes, we categorized fevers into four subgroups. The absence of fever, mild (37.5–38.5) C, moderate (38.6–39.5) C, and severe fever (39.6 C and above). Moreover, we asked our patients about the frequency and severity of their coughs at the end of treatment and how they had changed during this period. The patients within the two groups were followed until recovery, or if they had passed away, the need for hospitalization (in cases of outpatients), or were sent to the intensive care unit (ICU) despite medical treatment.

Recovery was defined as having a stable oxygen saturation of > 92% within the past twelve hours and having no severe coughs, shortness of breath, and absence of fever.

Outpatients hospitalized due to exacerbation of their condition were still considered as part of the outpatient group.

Remdesivir treatment was continued until the patient had partially recovered (stable oxygen saturation of > 92% within the past 24 hours without an oxygen mask/nasal cannula and having no severe coughs, shortness of breath, and fever.), passed away due to COVID, or completed the five-day duration of Remdesivir treatment.

Treatment protocol

The primary treatment protocol was as follows during Remdesivir therapy and was carried out for all patients. 1) oxygen with a mask or nasal cannula if needed 2) intravenous dexamethasone 8mg daily for admitted patients and oral prednisolone 40mg daily for outpatients 3) enoxaparin, subcutaneous injection, once daily. 4) at the first day of treatment, 200mg of Remdesivir was given to the patients, followed by 100 mg daily intravenous injections for five days. The 100mg vials of Remdesivir were diluted with 200ml of normal saline and administered intravenously for 30 minutes.

End points

The primary endpoint of this study was COVID-related death or disease-related symptoms exacerbation needing hospitalization in the outpatient group and COVID-related death or ICU admission in the hospitalized group during the Remdesivir treatment course (five days) and then during follow-up till 28 days post-infection. (based on similar studies [9]).

The secondary endpoint was the comparison of disease alleviation duration and oxygen saturation changes (during Remdesivir treatment) among the hospitalized and outpatients.

Our third endpoint was comparing the full recovery time between the two groups.

Our safety outcome was severe or potentially life-threatening Remdesivir treatment adverse effects leading to treatment discontinuation of Remdesivir treatment. Severe adverse effects were defined based on the division of AIDS (DAIDS) table for Grading the Severity of Adult and Pediatric Adverse Events version 2.1 [11].

Ethical consideration

We explained the study to those who met the inclusion criteria or their first-degree relatives (if they had passed away) in full and written consent was obtained regarding the use of their data for research and publication purposes. Furthermore, the patients were assured that their personal information would not be shared with anyone throughout this study. Moreover, the Ethics Committee of Alborz University of Medical Sciences approved this study (No.IR.ABZUMS.REC.1400.306). All methods of the study were carried out by relevant guidelines and regulations.

Statistical analysis

By the Kolmogorov-Smirnov test, we evaluated the normal distribution of continuous variables. (oxygen saturation, pain, and age). Categorical variables were expressed as frequency and percentage (n (%)) and continuous variables as mean and standard deviation (SD).

Repeated measures analyses were used to compare the variables at the initiation and end of the treatment. Univariable and multivariable (adjusted for age, gender, oxygen saturation and etc.) cox regression analysis was used to compare the mortality risk between the two treatment groups. We reported the cox regression analysis as hazard ratio (HR) and 95% confidence interval (CI). A two-tailed P-value less than 0.05 was considered statistically significant. SPSS (Statistical Package for the Social Sciences software, version 25) was used for data analyses.

Results

In total, 214 patients diagnosed with covid-19 were included in the study, consisting of 121 (56.50%) outpatients and 93 (43.45%) hospitalized. Table 1 summarises the basic and clinical characteristics of the study population. The outpatients and hospitalized group’s mean age was 40.30 ± 12.25 and 37.70 ± 12.00 years, and 51.2% and 55.9% were males, respectively. There was no statistical difference between baseline and clinical characteristics in the outpatients and hospitalized groups. (p-value>0.05), except for shortness of breath (the number of moderate and severe cases of shortness of breath in the hospitalized group was greater than in the outpatient group (P-value: 0.005)).

Table 1. Basic characteristics of hospitalized covid-19 patients categorized into outpatients and hospitalized.

Variables Outpatient Hospitalized P-value
n = 121 n = 93
Age (Mean ± SD) 40.30 ± 12.25 37.70 ± 12.00 0.119
Pain (Mean ± SD) 5.45 ± 1.78 5.36 ± 2.35 0.766
Oxygen saturation (measured by pulse oximetery) 90.90 ± 1.40 90.55 ± 1.50 0.069
Gender n (%) Male 62 (51.20) 52 (55.90) 0.497
Female 59 (48.80) 41 (44.10)
Cough No 60 (49.60) 37 (39.80) 0.153
Yes 61 (52.10) 56 (47.90)
Shortness of breath n (%) No 26 (21.50) 11 (11.80) 0.005 *
Mild 53 (43.80) 32 (34.40)
Moderate 33 (27.30) 29 (31.20)
Sever 9 (7.40) 21 (22.60)
Fever No 14 (11.60) 7 (7.50) 0.608
Mild 37 (30.60) 29 (31.20)
Moderate 53 (43.80) 39 (41.9)
Severe 17 (14.0) 18 (19.40)

n: number, %: percentage, SD: standard deviation.

* statistically significant (P-value < 0.05).

At the end of the Remdesivir treatment (day 5), the remnant pain and cough in the outpatient group were statistically more significant than in the hospitalized group. However, there was no statistical difference between the severity of shortness of breath and fever in outpatient and hospitalized groups. 9.92% and 8.60% of deaths occurred in outpatient and hospitalized groups, respectively, which was not statistically significant.

In the univariable and multivariable cox regression analysis, the risk of mortality was not statistically different in the hospitalized patients compared with the outpatient group ((non-adjusted HR: 0.81, (95%CI: 0.33, 2.00)) adjusted HR: 0.99, (95% CI: 0.39–2.50)) (Table 2).

Table 2. The risk of mortality according to type of treatment.

Variables Outpatient Hospitalized Crude hazard ratio Adjusted hazard ratio Model I Adjusted hazard ratio Model II Adjusted hazard ratio Model III
n = 121 n = 93 (95% CI) (95% CI) (95% CI) (95% CI)
Dead 12 (9.90) 8 (8.60) 0.81 (0.33, 2.00) 0.99 (0.39, 2.50) 0.83 (0.32, 2.12) 0.93 (0.34, 2.53)

Model I: The multivariable Cox regression was adjusted for age, gender, and oxygen saturation at baseline.

Model II: additionally adjusted for baseline shortness of breath.

Model III: additionally adjusted for baseline pain, cough, and fever.

n: number, CI: confidence interval.

Based on repeated measures analysis, the mean oxygen saturation was not statistically different between the outpatients and hospitalized groups during treatment time (Table 3). However, the mean oxygen saturation was statistically different between the living and the dead during the treatment period (Table 4).

Table 3. Comparison of oxygen saturation means and standard deviations (Mean ± SD) between hospitalized and outpatients during Remdesivir treatment.

Variable Outpatient Hospitalized P-value1 Effect size
Day 1 90.90 ± 1.40 90.55 ± 1.50 0.124 0.010
Day 2 90.80 ± 1.88 89.50 ± 3.25
Day 3 90.62 ± 2.32 89.72 ± 2.74
Day 4 90.90 ± 2.91 89.75 ± 3.70
Day 5 91.45 ± 3.78 91.00 ± 3.87

The P-value and effect size were acquired using repeated measures analysis after applying the Bonferroni correction

SD: standard deviation.

Table 4. Comparison of the means and standard deviations of oxygen saturation (Mean ± SD) between patients who survived and passed away due to Covid during Remdesivir treatment.

Variable Alive dead P-value1 Effect size
Day 1 90.73 ± 1.40 91.05 ± 1.68 <0.001 * 0.351
Day 2 90.35 ± 2.59 88.90 ± 2.76
Day 3 90.47 ± 2.30 87.73 ± 3.47
Day 4 91.00 ± 2.30 84.31 ± 5.48
Day 5 92.12 ± 2.14 82.21 ± 5.33

* statistically significant (P-value < 0.05).

The P-value and effect size were acquired using repeated measures analysis after applying the Bonferroni correction

SD: standard deviation.

Moreover, the duration of full recovery time (median ± interquartile range) among the hospitalized and outpatients was 5 ± 2 and 6 ± 1 days, respectively; which was statistically significant (P-value: 0.01).

Regarding our safety outcomes, none of the patients experienced severe or potentially life-threatening adverse events.

Discussion

Based on our results, outpatients and inpatients did not significantly differ in mortality rates, disease signs, and symptom alleviation. Hence based on our results, outpatient Remdesivir treatment can be as effective as inpatient Remdesivir treatment in patients without any underlying diseases. Similar to our findings, another study found that the outcome and mortality rates of inpatients and outpatients treated with Remdesivir did not differ significantly [12]. Although there have been controversies regarding the Covid-19 treatment protocol since the pandemic’s initiation, most studies concur that early treatment significantly reduces severity and mortality rates [9, 12]. Moreover, even though the effectiveness of Remdesivir treatment (in hospital) is under question, many studies have shown that early Remdesivir treatment reduces the adverse outcomes of COVID, and some have suggested that early outpatient treatment with Remdesivir has reduced the severity and mortality among Covid patients [9].

We found that full recovery time among the hospitalized patients was shorter than the outpatients. Although a recovery duration difference of one day may not seem clinically significant, it was statistically significant; however, this significance cannot solely be attributed to Remdesivir treatment, as hospital care could also play a role in the patients’ recovery time. In this regard, although it is out of the question that many patients need hospitalization due to COVID, we can initiate early outpatient Remdesivir treatment to cover a vast infected population, thus reducing hospitalizations and making room for those who need to be admitted or those with undelaying diseases.

In our study, the mortality rate of hospitalized patients was similar to the mortality rate reported by others [8]; however, the mortality rate of our outpatients was higher compared to similar studies [9]. The higher mortality rate in our outpatients could be attributed to the fact that our outpatients were hospitalization candidates with a more severe form of infection compared to other studies that evaluated patients who were not hospitalization candidates. Hence due to higher mortality rates in the outpatients, the power of our study may have been insufficient to detect the mortality difference between the two study arms.

It should be kept in mind that we did not evaluate participants with underlying diseases. As reported in the literature, underlying diseases tend to increase the severity and mortality of COVID infection [13–15], and we do not recommend treating COVID patients with underlying diseases as outpatients. Nonetheless, the nature, extent, and severity of the underlying diseases are major factors affecting COVID severity and mortality [16]. Thus, to safely determine the efficacy of outpatient COVID treatment, studies with large samples alongside medical teams available 24 hours a day (to prevent or treat any unwanted adverse effects in the outpatients) are needed. Moreover, there are ethical aspects to be addressed as well; such studies can take place in countries with limited hospital beds and dire situations.

Moreover, it must be noted that precise blood oxygen monitoring is recommended in both hospitalized and outpatients; since, as can be seen in Table 4, in both groups, an oxygen decline, especially a notable oxygen decline between days 3 and 4 of Remdesivir treatment, was associated with a significant mortality rate. Thus we think that regardless of the patient’s condition, in cases of a decline of blood oxygen saturation, especially within days 3 and 4 in all patients, ICU admission and preventive measures must be taken into account.

Another crucial point that should be kept in mind is the side effects and adverse outcomes of Remdesivire treatment. As some studies indicate, up to 60% of the patients can show some adverse effects [17]. Although most of these adverse effects are insignificant, serious adverse events must be managed [17]. These adverse effects are manageable in admitted patients, However, managing these symptoms in outpatients can be challenging, and the patients need proper education regarding these symptoms.

Limitations and strength

Although our sample size was greater than similar studies, more studies with a greater sample size are needed to compare the differences between inpatient and outpatient Remdesivir treatment. However, regardless of our precise sampling method, the role of potential confounders cannot be ignored; hence, randomized control trials (RCTs) are needed to determine the exact differences between hospitalized and outpatients treated with Remdesivir, free of residual confounding.

It should be kept in mind that our study was a single-center study, and our findings can only be attributed to moderate infection levels, without any underlying diseases and in dire situations with vast numbers of infected and limited resources with the possibility of residual confounding.

To impute these findings on different situations and the general population, multicenter studies with a larger group of the infected are recommended.

Conclusion

Based on the results of this study, the outcome, signs, and symptoms of inpatient and outpatient Remdesivir treatment groups did not differ significantly. Hence in COVID-19 surges where we have limitations in admitting patients, outpatient Remdesivir treatment, if necessary, can be a proper management method for patients without any underlying diseases.

Data Availability

All relevant data are available from the Zenodo repository (https://doi.org/10.5281/zenodo.7262680).

Funding Statement

Alborz University of Medical Sciences funded this study the fund was given to Dr SH.Z The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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30 May 2022

PONE-D-22-12580Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: a retrospective cohort study.PLOS ONE

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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I read with interest the study by Shokoofeh Zamani et al. entitled “Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: a retrospective cohort study”. The study compared outcomes of the two groups treated with Remdesivr. I am sorry that the study can’t be accepted. Below you may find my comments:

1. Authors should acknowledge one of the study’s limitations is the limited extrapolation of conclusions caused by strict inclusion and exclusion criteria. Moreover, most of the death events occurred in people with more comorbidities, and this study excluded people with underlying diseases. These should be at least addressed within a paragraph in the discussion.

2. The endpoints of the study should to be added, such as viral load. Besides, safety outcomes also should be reported.

3. Cox regression method is more suitable for comparing mortality differences.

4. “2.5 Statistical analysis”: Mind that the term multivariate logistic regression refers to multiple logistic regression or multivariable logistic regression; please amend. Of note, the reliability of the conclusion is doubtful because of few factors for model adjustment.

Reviewer #2: The present study aimed to evaluate and compare the reported signs and symptoms, and the outcome of COVID-infected hospitalised and out-patients receiving Remdesivir. Although the research question is interesting, I have some comments:

Major remarks

1) Randomized clinical trials have shown an positive effect of Remdesivir on shortening the time to recovery in adults who were hospitalized with Covid-19, without significant impact on mortality. In this sense, it would be interesting if the authors could compare time to recovery between the two cohort of patients (hospitalized vs. non-hospitalized patients).

2) Since the main result of this study was neutral, the analysis of type II error is crucial. Please explain how sample size was determined. A power analysis showing the actual power of the present study would be informative for readers.

3) It seems that the present study is underpowered for a categorical outcome such as mortality. I might suggest to reinforce throughout discussion and conclusions the fact that the present study result may be due to the lack of power.

4) I might suggest to include shortness of breath at baseline as an covariate in the multivariate logistic model assessing the comparison of the two cohorts on the main outcome.

5) Why the authors did no use Cox regression to assess mortality?

Minor remarks

1) Please include footnotes in tables in order to describe the statistic used (e.g., data are n(%)) and abbreviations;

2) Please provide information in table footnotes to help readers to interpret the outcomes assessed.

3) Please explain how effect size was calculated.

4) Please revise the term oxygen in table 1 (maybe replace by oxygen saturation measured by pulse oximetry)

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

Reviewer #2: Yes: Regis Goulart Rosa

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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PLoS One. 2022 Nov 10;17(11):e0277413. doi: 10.1371/journal.pone.0277413.r002

Author response to Decision Letter 0


1 Jul 2022

First I would like to thank the reviewers and editor. Their comments improved the manuscript significantly, and for that, I’m grateful

The entire manuscript has been re-read. Some changes within sentences were made and some grammatical corrections were made to improve readability.

Moreover, all the comments were addressed and changes are highlighted

Editorial comments:

1. The referencing style has been edited and corrected (square brackets)

2. The ethics section has been moved to methods

3. The tables have been edited and corrected.

4. regarding data availability, accession numbers and/or DOIs will be made available after acceptance (the data file will be made public if accepted, prior to publication)

Reviewer #1

1. Authors should acknowledge one of the study’s limitations is the limited extrapolation of conclusions caused by strict inclusion and exclusion criteria. Moreover, most of the death events occurred in people with more comorbidities, and this study excluded people with underlying diseases. These should be at least addressed within a paragraph in the discussion.

thank you for the point

The term strict may have been miss interrupted; hence it was replaced with “ explicit” as we meant to say we used precise inclusion and exclusion criteria.

We agree with the comment, we had some limitations however we had acknowledged our limitations throughout the discussion.

Nonetheless, we have further elaborated our limitations based on the comment

2. The endpoints of the study should to be added, such as viral load. Besides, safety outcomes also should be reported.

thank you for the comment. the requested points were added under “End points”

3. Cox regression method is more suitable for comparing mortality differences.

Thank you for the very important point, Cox regression was done and the results of logistic regression were substituted with Cox regression

4. “2.5 Statistical analysis”: Mind that the term multivariate logistic regression refers to multiple logistic regression or multivariable logistic regression; please amend. Of note, the reliability of the conclusion is doubtful because of few factors for model adjustment.

thank you for this very important point, corrections were made throughout the entire manuscript

moreover based upon your request, we made some changes (Cox regression model III: adjusted for : sex, age, baseline pain, shortness of breath, cough, fever and oxygen saturation.

Reviewer #2:

Major remarks

1) Randomized clinical trials have shown an positive effect of Remdesivir on shortening the time to recovery in adults who were hospitalized with Covid-19, without significant impact on mortality. In this sense, it would be interesting if the authors could compare time to recovery between the two cohort of patients (hospitalized vs. non-hospitalized patients).

Thank you for the comment, the requested data were added

2) Since the main result of this study was neutral, the analysis of type II error is crucial. Please explain how sample size was determined. A power analysis showing the actual power of the present study would be informative for readers.

Thank you for the point, sample size calculation was added

3) It seems that the present study is underpowered for a categorical outcome such as mortality. I might suggest to reinforce throughout discussion and conclusions the fact that the present study result may be due to the lack of power.

Although the power of this study was set to 80%, (added in the sampleing and sample size) the discussion has been improved.

4) I might suggest to include shortness of breath at baseline as an covariate in the multivariate logistic model assessing the comparison of the two cohorts on the main outcome.

Thank you for the comment, although shortness of breath seems important as a covariate and we wanted to include it in the multivariate analysis, we thought it is rather a subjective variable with no definitive measurement, and patients definition and sensation on the subject may differ, hence the data on shortness of breath completely relied on patient reports, thus we thought it would be better to use oxygen saturation ( a definitive and measurable variable, more precise and could affect shortness of breath as well) as a covariate for a proper analysis a variable.

However due to your kind request we added the results of analysis with shortness of breath as a covariate as well, (Cox regression model II)

5) Why the authors did no use Cox regression to assess mortality?

Thank you for the very important point, Cox regression was done and the results of logistic regression were substituted with Cox regression

Minor remarks

1) Please include footnotes in tables in order to describe the statistic used (e.g., data are n(%)) and abbreviations;

Thank you for the point

done

2) Please provide information in table footnotes to help readers to interpret the outcomes assessed.

Thank you for the point

done

3) Please explain how effect size was calculated.

Thank you for the point. It was added in the table footnote

4) Please revise the term oxygen in table 1 (maybe replace by oxygen saturation measured by pulse oximetry)

Thank you for the point

done

Attachment

Submitted filename: responce to reviewer.docx

Decision Letter 1

Tai-Heng Chen

1 Sep 2022

PONE-D-22-12580R1Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: a retrospective cohort study.PLOS ONE

Dear Dr. Mohammadian Khonsari,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Oct 16 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: The revised version of the manuscript improved a lot. However, some points need to be addressed:

1- There are some inconsistencies regarding writing. In this sense, i might suggest to edit the manuscript for grammar and scientific style.

2- I still have some doubts regarding the sample size calculation. The sample size seems to be very low to detect a difference of 10% in mortality between the two cohorts. Please describe the expected number (%) of events (with references) in the control arm in the sample size description. Additionally, include in the discussion the fact that the study was underpowered to detect differences < 10% between the two study arms.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

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PLoS One. 2022 Nov 10;17(11):e0277413. doi: 10.1371/journal.pone.0277413.r004

Author response to Decision Letter 1


13 Sep 2022

thank you for your thorough evaluation and comments

Dear reviewer regarding the comment:

C1: still have some doubts regarding the sample size calculation. The sample size seems to be very low to detect a difference of 10% in mortality between the two cohorts. Please describe the expected number (%) of events (with references) in the control arm in the sample size description. Additionally, include in the discussion the fact that the study was underpowered to detect differences < 10% between the two study arms.

Answer: we added the references and the issues were addressed

Attachment

Submitted filename: rebuttal letter.docx

Decision Letter 2

Tai-Heng Chen

27 Oct 2022

Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: a retrospective cohort study.

PONE-D-22-12580R2

Dear Dr. Mohammadian Khonsari,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Tai-Heng Chen, M.D.

Academic Editor

PLOS ONE

Reviewers' comments:

Acceptance letter

Tai-Heng Chen

2 Nov 2022

PONE-D-22-12580R2

Prognostic comparison of COVID-19 outpatients and inpatients treated with Remdesivr: a retrospective cohort study.

Dear Dr. Mohammadian Khonsari:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Tai-Heng Chen

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: responce to reviewer.docx

    Attachment

    Submitted filename: rebuttal letter.docx

    Data Availability Statement

    All relevant data are available from the Zenodo repository (https://doi.org/10.5281/zenodo.7262680).


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