<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AID</journal-id><journal-title-group><journal-title>Advances in Infectious Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-2648</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/aid.2023.133041</article-id><article-id pub-id-type="publisher-id">AID-127861</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Effect of Dexamethasone versus Methylprednisolone in the Treatment of COVID-19 Patients in Jordan
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jamal</surname><given-names>Wadi Al Ramahi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nour</surname><given-names>Hasan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amal</surname><given-names>Matar</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ma’en</surname><given-names>Maher Al-Ali</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lara</surname><given-names>Abdulhadi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dania</surname><given-names>Abu Kaf</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Waseem</surname><given-names>Saadeh</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nour</surname><given-names>Hamdan</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hassan</surname><given-names>Abu Khalaf</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohamed</surname><given-names>Gharaibeh</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hanadi</surname><given-names>Hamadallah</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ala’a</surname><given-names>Bader</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammad</surname><given-names>Atout</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sae’ed</surname><given-names>Moh. Mar’I</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tamer</surname><given-names>Alhamed</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Department of Clinical Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan</addr-line></aff><aff id="aff5"><addr-line>Department of Medicine, The Specialty Hospital, Amman, Jordan</addr-line></aff><aff id="aff3"><addr-line>Department of General Medicine, Al Khalidi Hospital, Amman, Jordan</addr-line></aff><aff id="aff2"><addr-line>Clinical Pharmacy, Al Khalidi Hospital, Amman, Jordan</addr-line></aff><aff id="aff6"><addr-line>Department of Anesthesia, The Specialty Hospital, Amman, Jordan</addr-line></aff><aff id="aff7"><addr-line>Department of Pharmacy, Jordan Hospital, Amman, Jordan</addr-line></aff><aff id="aff1"><addr-line>Department of Medicine, School of Medicine, The University of Jordan, Amman, Jordan</addr-line></aff><aff id="aff8"><addr-line>Department of Pharmacy, The Specialty Hospital, Amman, Jordan</addr-line></aff><pub-date pub-type="epub"><day>31</day><month>07</month><year>2023</year></pub-date><volume>13</volume><issue>03</issue><fpage>508</fpage><lpage>520</lpage><history><date date-type="received"><day>21,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>19,</day>	<month>September</month>	<year>2023</year>	</date><date date-type="accepted"><day>22,</day>	<month>September</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Previous studies focused on the treatment effect of steroids versus no steroids in treating severe COVID-19 patients, a few studies evaluated outcomes for treating those patients with either dexamethasone or methylprednisolone. Currently, we evaluate the difference in mortality associated with treating COVID-19 patients with dexamethasone versus methylprednisolone. 
  Methods: With a retrospective multicenter study, records were reviewed for the admitted patients with severe COVID-19 during the peak of the severe COVID-19 pandemic. All admitted patients on dexamethasone or methylprednisolone were included. Patients were analyzed as all populations and propensity scores matched patients. Propensity scores were calculated for several confounders by the generalized linear model, and a “greedy” near-neighbor matching algorithm was used. Continuous variables with nonnormal distribution were analyzed by Wilcoxon signed rank test. Chi-squared and Fischer exact test analyzed categorical variables. P-values were adjusted by the Bonferroni method for both data cohorts. Body mass index was in categories. Radiological findings were divided into five categories. The outcomes: mortality, the need for home oxygen therapy, recovery, and residual symptoms on discharge were analyzed by an independent two-sample test for equality of proportions (with Yates correction), and logistic regression analysis. 
  Results: Among the 1128 reviewed records, patients on dexamethasone or methylprednisolone were 1071, and the propensity score-matched patients were 784: dexamethasone 393 and methylprednisolone 391. There was no significant difference in the characteristics of patients between the two steroids (p-value and adjusted p-value &gt; 0.05) for most variables. PSM adjusted a few discrepant variables before analysis. The outcome of the unmatched patients demonstrated dexamethasone benefit in the need for home oxygen therapy (&lt;0.001) and mortality (&lt;0.01), but not for recovery and residual symptoms on home discharge (p-value &gt; 0.05). However, matched patients demonstrated significantly lower mortality associated with dexamethasone treatment (difference -2.68%, 95%CI, -1.0, -0.004, p = 0.03, and OR 1.7, p = 0.017), and no difference for the other outcomes, including the need for home oxygen therapy (p-value &gt; 0.05).
   Conclusion: Dexamethasone treatment caused significantly less mortality than methylprednisolone in treating our COVID-19 patients, but no significant difference in recovery, the need for home oxygen therapy, and residual symptoms on discharge.
 
</p></abstract><kwd-group><kwd>Dexamethasone</kwd><kwd> Methylprednisolone</kwd><kwd> COVID-19 Mortality</kwd><kwd> Home Oxygen</kwd><kwd> COVID-19 Recovery</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Soon after the WHO announcement of SARS-CoV-2 as a worldwide pandemic, cures were urgently recommended to treat the increasing deleterious health effects of the pandemic on patients; specific antivirals, other repurposed agents, and agents that suppress the hyper-inflammatory storm associated with SARS-CoV-2 infection were being evaluated at a fast pace [<xref ref-type="bibr" rid="scirp.127861-ref1">1</xref>] . The hyperinflammatory state associated with SARS-CoV-2 infection causes widespread tissue damage, especially in the lungs; its control is of paramount priority as was intervened in SARS-CoV and MERS-CoV where cytokine release syndrome was observed [<xref ref-type="bibr" rid="scirp.127861-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.127861-ref3">3</xref>] . Anti-inflammatory agents arose for the COVID-19 associated hyper-inflammatory syndrome, led by steroids due to their efficacy and relative safety [<xref ref-type="bibr" rid="scirp.127861-ref4">4</xref>] , and are being prescribed extensively for moderate and severe cases, alone or combined with other agents [<xref ref-type="bibr" rid="scirp.127861-ref5">5</xref>] . The reasoned experience of treating patients with steroids for severe COVID-19 patients implied that low-dose steroid use might have been beneficial. Steroids available for use in hospitalized patients are dexamethasone and methylprednisolone among others. A leading published study demonstrated that dexamethasone significantly lowered mortality in severe COVID-19 patients. Also, methylprednisolone was evaluated for the same reason and found to bring a similar clinical benefit. A randomized clinical trial was conducted to test a range of potential treatments for COVID-19, including low-dose dexamethasone; it demonstrated that dexamethasone has an evident 35% day-28 mortality reduction in patients receiving either invasive mechanical ventilation but not among those receiving no respiratory support [<xref ref-type="bibr" rid="scirp.127861-ref6">6</xref>] . Another study cited a 67% reduction in mortality with using dexamethasone [<xref ref-type="bibr" rid="scirp.127861-ref7">7</xref>] , and in a single-blind, randomized trial with the intention-to-treat (ITT) analysis, methylprednisolone pulse dose at 250 mg/day for three days remarkably lowered mortality compared with the standard care (5.9% versus 42.9%; p &lt; 0.001) [<xref ref-type="bibr" rid="scirp.127861-ref8">8</xref>] . A comparative retrospective study of patients requiring invasive mechanical ventilation methylprednisolone at 1 mg/kg/day for ≥3 days reduced mortality compared with 6 mg dexamethasone for seven days [<xref ref-type="bibr" rid="scirp.127861-ref9">9</xref>] . Also, a time frame for initiating steroids was cited, i.e., to use steroids if symptoms were &gt;7 days, or the patient was hospitalized &gt;72 hours off invasive mechanical ventilation [<xref ref-type="bibr" rid="scirp.127861-ref10">10</xref>] . Nonetheless, a Cochrane review on steroid treatment in patients with severe COVID-19 disease concluded that “Systemic corticosteroids plus standard care compared to standard care probably reduce the 30 days all-cause mortality (low to moderate-certainty evidence) slightly” [<xref ref-type="bibr" rid="scirp.127861-ref11">11</xref>] .</p><p>In this retrospective cross-sectional study, we conducted a propensity-score matched study (PSM) with stabilized inverse probability of treatment weighting (SIPTW) of our hospitalized patients to evaluate the mortality effect difference between dexamethasone versus methylprednisolone.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Settings</title><p>Data for COVID-19 patients was collected from three participating hospitals (The Specialty, Jordan, and Al Khalidi) as a database during the peak of the COVID-19 pandemic. The study was a retrospective cross-sectional between (October 2020 to May 2021). Three studies were published earlier on different topics from the same database by our group [<xref ref-type="bibr" rid="scirp.127861-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.127861-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.127861-ref14">14</xref>] . Special units for managing patients with COVID-19 were allocated with an approximate capacity of 155-floor beds and 47 ICU beds. Data was uploaded into a cloud Excel sheet (Microsoft Corporation). Records were included as patients presented for admission in the participating hospitals. The internal review boards of the three hospitals approved the study (Specialty 108298/T/1/5, Al Khalidi KHMC/22/R/601, and Jordan JH/IRB/2020/12). No consent was needed as no added intervention was started, and no procedure or tissue specimen was examined for the purpose of the study but as a standard of care, following the “Declaration of Helsinki”.</p></sec><sec id="s2_2"><title>2.2. Inclusion Criteria</title><p>All patients with COVID-19 admitted to one of the three hospitals between October 2020 - May 2021 were included, 1128 records were reviewed for patients who stayed in the hospitals and were started on dexamethasone or methylprednisolone. None of the patients was excluded from the analysis including a few patients with malignancy (<xref ref-type="table" rid="table1">Table 1</xref>). In addition to the characteristics in <xref ref-type="table" rid="table1">Table 1</xref>, almost all patients were started on several medications like vitamin D in varying</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The characteristics of COVID-19 patients according to dexamethasone or methylprednisolone treatment allocation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="4"  >All Patients</th><th align="center" valign="middle"  colspan="4"  >Propensity scores matched patients</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Dexa N = 453<sup>1</sup></td><td align="center" valign="middle" >Methyl N = 618<sup>1</sup></td><td align="center" valign="middle" >p-value<sup>2</sup></td><td align="center" valign="middle" >q-value<sup>3</sup></td><td align="center" valign="middle" >Dexa N = 393<sup>1</sup></td><td align="center" valign="middle" >Methyl N = 391<sup>1</sup></td><td align="center" valign="middle" >p-value<sup>2</sup></td><td align="center" valign="middle" >q-value<sup>3</sup></td></tr><tr><td align="center" valign="middle" >Length of hospital stay</td><td align="center" valign="middle" >6.5 (5.2)</td><td align="center" valign="middle" >7.5 (6.1)</td><td align="center" valign="middle" >0.013</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >6.8 (5.4)</td><td align="center" valign="middle" >6.8 (5.3)</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >60 (15)</td><td align="center" valign="middle" >62 (15)</td><td align="center" valign="middle" >0.054</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >62 (15)</td><td align="center" valign="middle" >62 (15)</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >female</td><td align="center" valign="middle" >174 (38%)</td><td align="center" valign="middle" >207 (33%)</td><td align="center" valign="middle"  rowspan="2"  >0.10</td><td align="center" valign="middle"  rowspan="2"  >&gt;0.9</td><td align="center" valign="middle" >148 (38%)</td><td align="center" valign="middle" >141 (36%)</td><td align="center" valign="middle"  rowspan="2"  >0.6</td><td align="center" valign="middle"  rowspan="2"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >male</td><td align="center" valign="middle" >279 (62%)</td><td align="center" valign="middle" >411 (67%)</td><td align="center" valign="middle" >245 (62%)</td><td align="center" valign="middle" >250 (64%)</td></tr><tr><td align="center" valign="middle" >All symptoms</td><td align="center" valign="middle" >5.27 (2.34)</td><td align="center" valign="middle" >4.94 (2.16)</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >5.05 (2.32)</td><td align="center" valign="middle" >5.01 (2.10)</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Comorbidities</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >cardiac disease</td><td align="center" valign="middle" >6 (1.3%)</td><td align="center" valign="middle" >13 (2.1%)</td><td align="center" valign="middle"  rowspan="9"  >&lt;0.001</td><td align="center" valign="middle"  rowspan="9"  >&lt;0.001</td><td align="center" valign="middle" >6 (1.5%)</td><td align="center" valign="middle" >7 (1.8%)</td><td align="center" valign="middle"  rowspan="9"  >0.9</td><td align="center" valign="middle"  rowspan="9"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >chronic lung disease</td><td align="center" valign="middle" >8 (1.8%)</td><td align="center" valign="middle" >21 (3.4%)</td><td align="center" valign="middle" >8 (2.0%)</td><td align="center" valign="middle" >10 (2.6%)</td></tr><tr><td align="center" valign="middle" >diabetes mellitus</td><td align="center" valign="middle" >45 (9.9%)</td><td align="center" valign="middle" >64 (10%)</td><td align="center" valign="middle" >43 (11%)</td><td align="center" valign="middle" >41 (10%)</td></tr><tr><td align="center" valign="middle" >Free</td><td align="center" valign="middle" >39 (8.6%)</td><td align="center" valign="middle" >5 (0.8%)</td><td align="center" valign="middle" >7 (1.8%)</td><td align="center" valign="middle" >3 (0.8%)</td></tr><tr><td align="center" valign="middle" >hypertension</td><td align="center" valign="middle" >50 (11%)</td><td align="center" valign="middle" >72 (12%)</td><td align="center" valign="middle" >46 (12%)</td><td align="center" valign="middle" >49 (13%)</td></tr><tr><td align="center" valign="middle" >malignancy</td><td align="center" valign="middle" >5 (1.1%)</td><td align="center" valign="middle" >8 (1.3%)</td><td align="center" valign="middle" >5 (1.3%)</td><td align="center" valign="middle" >6 (1.5%)</td></tr><tr><td align="center" valign="middle" >obesity</td><td align="center" valign="middle" >9 (2.0%)</td><td align="center" valign="middle" >12 (1.9%)</td><td align="center" valign="middle" >9 (2.3%)</td><td align="center" valign="middle" >9 (2.3%)</td></tr><tr><td align="center" valign="middle" >other chronic disease</td><td align="center" valign="middle" >21 (4.6%)</td><td align="center" valign="middle" >12 (1.9%)</td><td align="center" valign="middle" >11 (2.8%)</td><td align="center" valign="middle" >11 (2.8%)</td></tr><tr><td align="center" valign="middle" >two or more</td><td align="center" valign="middle" >270 (60%)</td><td align="center" valign="middle" >411 (67%)</td><td align="center" valign="middle" >258 (66%)</td><td align="center" valign="middle" >255 (65%)</td></tr><tr><td align="center" valign="middle" >Body mass index (BMI)<sup>4</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Underweight</td><td align="center" valign="middle" >1 (0.2%)</td><td align="center" valign="middle" >1 (0.2%)</td><td align="center" valign="middle"  rowspan="6"  >0.7</td><td align="center" valign="middle"  rowspan="6"  >&gt;0.9</td><td align="center" valign="middle" >1 (0.3%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle"  rowspan="6"  >0.5</td><td align="center" valign="middle"  rowspan="6"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Healthy</td><td align="center" valign="middle" >90 (20%)</td><td align="center" valign="middle" >142 (23%)</td><td align="center" valign="middle" >83 (21%)</td><td align="center" valign="middle" >88 (23%)</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >188 (42%)</td><td align="center" valign="middle" >263 (43%)</td><td align="center" valign="middle" >157 (40%)</td><td align="center" valign="middle" >169 (43%)</td></tr><tr><td align="center" valign="middle" >Obesity Class 1</td><td align="center" valign="middle" >122 (27%)</td><td align="center" valign="middle" >153 (25%)</td><td align="center" valign="middle" >102 (26%)</td><td align="center" valign="middle" >97 (25%)</td></tr><tr><td align="center" valign="middle" >Obesity Class 2</td><td align="center" valign="middle" >35 (7.7%)</td><td align="center" valign="middle" >41 (6.6%)</td><td align="center" valign="middle" >33 (8.4%)</td><td align="center" valign="middle" >27 (6.9%)</td></tr><tr><td align="center" valign="middle" >Obesity Class3</td><td align="center" valign="middle" >17 (3.8%)</td><td align="center" valign="middle" >18 (2.9%)</td><td align="center" valign="middle" >17 (4.3%)</td><td align="center" valign="middle" >10 (2.6%)</td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >63 (14%)</td><td align="center" valign="middle" >68 (11%)</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >54 (14%)</td><td align="center" valign="middle" >47 (12%)</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >White blood cells</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >4000 - 5000</td><td align="center" valign="middle" >41 (9.1%)</td><td align="center" valign="middle" >64 (10%)</td><td align="center" valign="middle"  rowspan="4"  >0.6</td><td align="center" valign="middle"  rowspan="4"  >&gt;0.9</td><td align="center" valign="middle" >37 (9.4%)</td><td align="center" valign="middle" >37 (9.5%)</td><td align="center" valign="middle"  rowspan="4"  >&gt;0.9</td><td align="center" valign="middle"  rowspan="4"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >5000 - 11999</td><td align="center" valign="middle" >273 (60%)</td><td align="center" valign="middle" >364 (59%)</td><td align="center" valign="middle" >239 (61%)</td><td align="center" valign="middle" >243 (62%)</td></tr><tr><td align="center" valign="middle" >less than 4000</td><td align="center" valign="middle" >32 (7.1%)</td><td align="center" valign="middle" >34 (5.5%)</td><td align="center" valign="middle" >26 (6.6%)</td><td align="center" valign="middle" >24 (6.1%)</td></tr><tr><td align="center" valign="middle" >more than 12000</td><td align="center" valign="middle" >107 (24%)</td><td align="center" valign="middle" >156 (25%)</td><td align="center" valign="middle" >91 (23%)</td><td align="center" valign="middle" >87 (22%)</td></tr><tr><td align="center" valign="middle" >Elevated LDH</td><td align="center" valign="middle" >261 (58%)</td><td align="center" valign="middle" >400 (65%)</td><td align="center" valign="middle" >0.018</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >228 (58%)</td><td align="center" valign="middle" >237 (61%)</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Elevated ferritin</td><td align="center" valign="middle" >368 (81%)</td><td align="center" valign="middle" >496 (80%)</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >322 (82%)</td><td align="center" valign="middle" >310 (79%)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Elevated C-reactive protein</td><td align="center" valign="middle" >448 (99%)</td><td align="center" valign="middle" >593 (96%)</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.091</td><td align="center" valign="middle" >388 (99%)</td><td align="center" valign="middle" >385 (98%)</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >D. Dimer</td><td align="center" valign="middle" >273 (60%)</td><td align="center" valign="middle" >422 (68%)</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >239 (61%)</td><td align="center" valign="middle" >267 (68%)</td><td align="center" valign="middle" >0.029</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >Imaging</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ground glass</td><td align="center" valign="middle" >175 (39%)</td><td align="center" valign="middle" >214 (35%)</td><td align="center" valign="middle"  rowspan="5"  >0.13</td><td align="center" valign="middle"  rowspan="5"  >&gt;0.9</td><td align="center" valign="middle" >153 (39%)</td><td align="center" valign="middle" >149 (38%)</td><td align="center" valign="middle"  rowspan="5"  >0.6</td><td align="center" valign="middle"  rowspan="5"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >lobar</td><td align="center" valign="middle" >29 (6.4%)</td><td align="center" valign="middle" >44 (7.1%)</td><td align="center" valign="middle" >28 (7.1%)</td><td align="center" valign="middle" >19 (4.9%)</td></tr><tr><td align="center" valign="middle" >minimal infiltrate</td><td align="center" valign="middle" >134 (30%)</td><td align="center" valign="middle" >160 (26%)</td><td align="center" valign="middle" >110 (28%)</td><td align="center" valign="middle" >110 (28%)</td></tr><tr><td align="center" valign="middle" >Multi-lobar</td><td align="center" valign="middle" >102 (23%)</td><td align="center" valign="middle" >175 (28%)</td><td align="center" valign="middle" >90 (23%)</td><td align="center" valign="middle" >102 (26%)</td></tr><tr><td align="center" valign="middle" >normal imaging</td><td align="center" valign="middle" >13 (2.9%)</td><td align="center" valign="middle" >25 (4.0%)</td><td align="center" valign="middle" >12 (3.1%)</td><td align="center" valign="middle" >11 (2.8%)</td></tr><tr><td align="center" valign="middle" >Antivirals</td><td align="center" valign="middle" >274 (60%)</td><td align="center" valign="middle" >447 (72%)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >248 (63%)</td><td align="center" valign="middle" >261 (67%)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Antibacterials</td><td align="center" valign="middle" >343 (76%)</td><td align="center" valign="middle" >445 (72%)</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >302 (77%)</td><td align="center" valign="middle" >301 (77%)</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Antifungals</td><td align="center" valign="middle" >52 (11%)</td><td align="center" valign="middle" >46 (7.4%)</td><td align="center" valign="middle" >0.024</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >40 (10%)</td><td align="center" valign="middle" >31 (7.9%)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Interleukin 6 inhibitors</td><td align="center" valign="middle" >38 (8.4%)</td><td align="center" valign="middle" >103 (17%)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >33 (8.4%)</td><td align="center" valign="middle" >43 (11%)</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Colchicine</td><td align="center" valign="middle" >128 (28%)</td><td align="center" valign="middle" >127 (21%)</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >0.079</td><td align="center" valign="middle" >101 (26%)</td><td align="center" valign="middle" >89 (23%)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Anticoagulants</td><td align="center" valign="middle" >429 (95%)</td><td align="center" valign="middle" >600 (97%)</td><td align="center" valign="middle" >0.047</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >377 (96%)</td><td align="center" valign="middle" >374 (96%)</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >92 (20%)</td><td align="center" valign="middle" >135 (22%)</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >83 (21%)</td><td align="center" valign="middle" >84 (21%)</td><td align="center" valign="middle" >&gt;0.9</td><td align="center" valign="middle" >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Oxygen saturation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >intermediate</td><td align="center" valign="middle" >166 (37%)</td><td align="center" valign="middle" >202 (33%)</td><td align="center" valign="middle"  rowspan="3"  >0.3</td><td align="center" valign="middle"  rowspan="3"  >&gt;0.9</td><td align="center" valign="middle" >139 (35%)</td><td align="center" valign="middle" >137 (35%)</td><td align="center" valign="middle"  rowspan="3"  >0.8</td><td align="center" valign="middle"  rowspan="3"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >197 (43%)</td><td align="center" valign="middle" >299 (48%)</td><td align="center" valign="middle" >179 (46%)</td><td align="center" valign="middle" >185 (47%)</td></tr><tr><td align="center" valign="middle" >normal</td><td align="center" valign="middle" >90 (20%)</td><td align="center" valign="middle" >117 (19%)</td><td align="center" valign="middle" >75 (19%)</td><td align="center" valign="middle" >69 (18%)</td></tr><tr><td align="center" valign="middle" >Oxygen delivery method</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >combined</td><td align="center" valign="middle" >22 (4.9%)</td><td align="center" valign="middle" >24 (3.9%)</td><td align="center" valign="middle"  rowspan="8"  >&lt;0.001</td><td align="center" valign="middle"  rowspan="8"  >0.001</td><td align="center" valign="middle" >16 (4.1%)</td><td align="center" valign="middle" >16 (4.1%)</td><td align="center" valign="middle"  rowspan="8"  >0.8</td><td align="center" valign="middle"  rowspan="8"  >&gt;0.9</td></tr><tr><td align="center" valign="middle" >high flow</td><td align="center" valign="middle" >23 (5.1%)</td><td align="center" valign="middle" >20 (3.2%)</td><td align="center" valign="middle" >19 (4.8%)</td><td align="center" valign="middle" >14 (3.6%)</td></tr><tr><td align="center" valign="middle" >IMV</td><td align="center" valign="middle" >18 (4.0%)</td><td align="center" valign="middle" >20 (3.2%)</td><td align="center" valign="middle" >17 (4.3%)</td><td align="center" valign="middle" >18 (4.6%)</td></tr><tr><td align="center" valign="middle" >nasal prongs</td><td align="center" valign="middle" >195 (43%)</td><td align="center" valign="middle" >192 (31%)</td><td align="center" valign="middle" >160 (41%)</td><td align="center" valign="middle" >147 (38%)</td></tr><tr><td align="center" valign="middle" >NIMV</td><td align="center" valign="middle" >14 (3.1%)</td><td align="center" valign="middle" >29 (4.7%)</td><td align="center" valign="middle" >13 (3.3%)</td><td align="center" valign="middle" >11 (2.8%)</td></tr><tr><td align="center" valign="middle" >nonbreathing mask</td><td align="center" valign="middle" >92 (20%)</td><td align="center" valign="middle" >137 (22%)</td><td align="center" valign="middle" >83 (21%)</td><td align="center" valign="middle" >86 (22%)</td></tr><tr><td align="center" valign="middle" >room air</td><td align="center" valign="middle" >38 (8.4%)</td><td align="center" valign="middle" >98 (16%)</td><td align="center" valign="middle" >35 (8.9%)</td><td align="center" valign="middle" >48 (12%)</td></tr><tr><td align="center" valign="middle" >simple mask</td><td align="center" valign="middle" >51 (11%)</td><td align="center" valign="middle" >98 (16%)</td><td align="center" valign="middle" >50 (13%)</td><td align="center" valign="middle" >51 (13%)</td></tr></tbody></table></table-wrap><p><sup>1</sup>Mean (SD); n (%); <sup>2</sup>Wilcoxon rank sum test; Pearson’s Chi-squared test; Fisher’s exact test; <sup>3</sup>Bonferroni correction for multiple testing; <sup>4</sup>BMI classes: https://www.cdc.gov/obesity/basics/adult-defining.html; Dexa: dexamethasone, Methyl: methylprednisolone, IMV: invasive mechanical ventilation, NIMV: non-invasive mechanical ventilation.</p><p>doses and durations, protein-pump inhibitors, acetylsalicylic acid, zinc tablets, Vitamin C, paracetamol, and multivitamins. Due to their universal use were not included as confounders.</p></sec><sec id="s2_3"><title>2.3. Treatment Protocols</title><p>A currently updated COVID-19 management protocol is published by the Jordan Ministry of Health (last update: Case Management protocol for COVID-19, MOH. June 2023); dexamethasone 6 mg/day for 7 to 10 days or methylprednisolone 32 mg/day intravenously administered as 1 - 2 doses for 7 - 10 days [<xref ref-type="bibr" rid="scirp.127861-ref15">15</xref>] . The treating physicians dominated by chest specialty, and minimal Infectious Diseases service partially relied on the Ministry of Health protocol and literature updates; treating physicians prescribed dexamethasone and methylprednisolone in various doses and durations, doses for dexamethasone are mostly 6 mg/day for 7 - 10 days, and methylprednisolone as in MOH recommendations, a few prescribed 40 - 80 mg every 8 hours. Other agents prescribed by the treating physicians to some patients according to their own interpretation of their need for an agent based on the evolving literature; anticoagulants (Enoxaparin sodium, Apixaban, Rivaroxaban, and Fondaparinux), antivirals (Favipiravir, Remdesivir), and colchicine were added to the other confounders.</p></sec><sec id="s2_4"><title>2.4. Classification of Radiological Findings</title><p>Infiltrates on chest radiography were described according to the severity of lung involvement as shown in a plain chest radiography and/or chest CT; lung involvement was classified into five categories; normal chest imaging, minimal infiltrate on imaging, a lobar infiltrate, diffuse ground glass appearance, and severe multilobe infiltrate, this classification somehow resembles a previously published chest radiography scoring system [<xref ref-type="bibr" rid="scirp.127861-ref16">16</xref>] .</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>Characteristics for all patients and propensity-matched patients were described (<xref ref-type="table" rid="table1">Table 1</xref>). Missingness in the various available variables for analysis was 751 (2.8%), and were imputed by multivariate imputations by chain equation “MICE” [<xref ref-type="bibr" rid="scirp.127861-ref17">17</xref>] . Propensity-score match tolerance (caliper) was 0.2 S.D. The matching method was the nearest neighbor (greedy) without replacement. Predictors entered were: Age, gender, length of hospital stay, the sum of recorded symptoms, comorbidities, BMI, Tobacco, ferritin level, C-RP, D-Dimer, LDH, imaging, antivirals, anticoagulants, antibacterials, antifungals, IL6-inhibitors, colchicine, documented temperature, blood oxygen saturation, oxygen delivery method, and peripheral white blood cells. A generalized linear model (logistic regression analysis) analysis was used to calculate the propensity scores of the confounders. Characteristics and outcomes of the patients were tabulated as all patients and PSM patients were allocated to dexamethasone and methylprednisolone. Characteristics were analyzed by the Wilcoxon rank sum test for non-normally distributed covariates, Pearson’s Chi-squared test, and Fisher’s exact test for contingency categorical data. Corrections were made by adjusted p-values with the Bonferroni method (q-value). The Kruskal-Wallis’s rank sum test analyzes the outcomes versus steroids and is found to come from a similar distribution (p = 0.3). Analysis was done by R, R-Studio (R Core Team (2023). https://www.R-project.org/, RStudio Team (2020). http://www.rstudio.com/.). With attached packages tidyverse [<xref ref-type="bibr" rid="scirp.127861-ref18">18</xref>] and gtsummary [<xref ref-type="bibr" rid="scirp.127861-ref19">19</xref>] . Outcomes were analyzed by Chi-squared and 2-sided tests for equality of proportions (two samples t-test) with Yates continuity correction and a generalized linear model. A p-value of &lt;0.05 was considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Among the 1128 reviewed records. The characteristics of patients who were on steroids (N = 1071), dexamethasone, or methylprednisolone, and the characteristics of the PSM patients (N = 784; dexamethasone 393 and methylprednisolone 391) were described in <xref ref-type="table" rid="table1">Table 1</xref>. There was no significant difference in the distribution of patients between the two steroids for age, sex, and body mass index into six categories, tobacco, white blood cells, serum ferritin, imaging categories, antibacterials, fever, and oxygen saturation (p-value &gt; 0.05). The unbalanced characteristics for patients on steroids were: the length of hospital stay (p = 0.013), all-symptoms (p = 0.02), comorbidities, interleukin-6 inhibitors, oxygen delivery method, and antivirals (p &lt; 0.001), elevated C-RP, D. Dimer (q-value), and colchicine (p &lt; 0.01), elevated LDH (P0.018) antifungals (p = 0.024), and anticoagulants (p = 0.047), and all patients were balanced by propensity score and PSM (p &gt; 0.05). The Bonferroni method’s adjusted p-value for multiple comparisons did some characteristics balancing (p &gt; 0.05) like the length of hospital stay, all symptoms, LDH, C-RP, D. Dimer, antifungals, colchicine, and anticoagulants. Frequency of symptoms on hospital admission was: fever 684 (12.59%), chills 527 (9.7%), sore throat 328 (6.04%), shortness of breath 908 (16.71%), cough 891 (16.4%), aches &amp; pains 691 (12.72%), headaches 464 (8.45), loss of smell 358 (6.59%), loss of taste 364 (6.7%), diarrhea 152 (2.8%), rhinorrhea 67 (1.23%). In an analysis of symptoms, each symptom scored one and its absence a zero. Symptoms were summed up, their summary was (min = 0.0, Q1 = 3.0, median = 5.0, mean = 5.0, Q3 = 7.0, max = 11.0) <xref ref-type="fig" rid="fig1">Figure 1</xref>. For patients with zero symptoms were eight, the vast majority were three or more symptoms.</p>Outcome Analysis<p>All patients on methylprednisolone treatment did significantly better than dexamethasone for the need for home oxygen therapy after discharge (difference = 10.3%, 95% C.I., 4.1 - 16.0, p &lt; 0.001), but mortality was more with methylprednisolone (difference = −6.0%, 95% C.I., −10.3, −1.9, p = 0.005). At the same time, there was no difference between dexamethasone and methylprednisolone for recovery and residual symptoms (p &gt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref>(a)).</p><p>PSM patients (<xref ref-type="table" rid="table2">Table 2</xref>(b)) demonstrated no significant difference for the outcomes examined: recovered (p = 0.93), residual symptoms (p = 1.0), and the need for home oxygen therapy (p = 0.22). Mortality associated with dexamethasone treatment was significantly lower than those treated with methylprednisolone (difference = 5.4%, 95% C.I., −10.4, 0.45, p = 0.03). The difference in mortality between the two steroids in PSM patients by a generalized linear model showed that treating with dexamethasone caused less mortality than treating with methylprednisolone (OR = 1.59, 95% C.I. 1.04, 2.45, p = 0.03), and with stabilized inverse probability of treatment weighting (SIPTW), it showed the same effect (OR = 1.70, 95% C.I. 1.10 - 2.66, p = 0.017).</p></sec><sec id="s4"><title>4. Discussion</title><p>Though steroids appear similar, the question in the SARS-CoV-2 pandemic is; are they similar in treating COVID-19? An issue is a subject of debate. In this retrospective study, we conducted a propensity score and matching, with SIPTW enabling reasonable credibility in drawing conclusions on the causal effects (outcomes differences) [<xref ref-type="bibr" rid="scirp.127861-ref20">20</xref>] .</p><p>We compared the outcomes of the difference in mortality, recovery, the need for home oxygen therapy on hospital discharge, and residual symptoms on discharge, between dexamethasone and methylprednisolone treatment in COVID-19 patients. Particularly, for the treating physicians in Jordan, the clinical experience is more with methylprednisolone and heavily relies on its use in</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> (a) The outcome of treating COVID-19 patients with Dexamethasone or Methylprednisolone in the unmatched population; (b) The outcome of treating COVID-19 patients with dexamethasone or methylprednisolone in PSM and SIPTW populations</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Analysis of the causal effect (outcome) of selecting dexamethasone or methylprednisolone in the treatment of all COVID-19 patients (N = 1071)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Dexamethasone N (%)</td><td align="center" valign="middle" >Methylprednisolone N (%)</td><td align="center" valign="middle" >Difference (%)</td><td align="center" valign="middle" >95% C.I.</td><td align="center" valign="middle" >P<sup>1</sup></td></tr><tr><td align="center" valign="middle" >Outcomes<sup>2</sup></td><td align="center" valign="middle" >453 (42.3)</td><td align="center" valign="middle" >618 (57.7)</td><td align="center" valign="middle" >-----</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Recovered</td><td align="center" valign="middle" >159</td><td align="center" valign="middle" >238</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >−9.4, 2.6</td><td align="center" valign="middle" >0.281</td></tr><tr><td align="center" valign="middle" >Residual symptoms<sup>3</sup></td><td align="center" valign="middle" >16 (3.53)</td><td align="center" valign="middle" >27 (4.36)</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >−3.4, 1.7</td><td align="center" valign="middle" >0.595</td></tr><tr><td align="center" valign="middle" >Needs home O<sub>2</sub></td><td align="center" valign="middle" >233 (51.9)</td><td align="center" valign="middle" >254 (41.1)</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >4.12, 16</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >45 (9.9)</td><td align="center" valign="middle" >99 (16.0)</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" >−10.3, −1.9</td><td align="center" valign="middle" >0.005</td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="7"  >Analysis of the outcomes for selecting dexamethasone or methylprednisolone in treating PSM and SIPTW COVID-19 patients (N = 784)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >PSM patients</td><td align="center" valign="middle"  colspan="2"  >SIPTW patients</td></tr><tr><td align="center" valign="middle" >Outcomes<sup>1</sup></td><td align="center" valign="middle" >Dexa N (%)</td><td align="center" valign="middle" >Methyl N (%)</td><td align="center" valign="middle" >95% C.I</td><td align="center" valign="middle" >p<sup>2</sup></td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >P</td></tr><tr><td align="center" valign="middle" >Recovered</td><td align="center" valign="middle" >146 (37.2)</td><td align="center" valign="middle" >143 (36.6)</td><td align="center" valign="middle" >−6.4, 7.6</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >1.04</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle" >Residual symptoms<sup>3</sup></td><td align="center" valign="middle" >13 (3.3)</td><td align="center" valign="middle" >12 (3.0)</td><td align="center" valign="middle" >−2.4, 2.9</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >1.62</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >Needs home O<sub>2</sub></td><td align="center" valign="middle" >193 (49.1)</td><td align="center" valign="middle" >174 (44.5)</td><td align="center" valign="middle" >−2.6, 11.8</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >0.055</td></tr><tr><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >41 (10.4)</td><td align="center" valign="middle" >62 (15.8)</td><td align="center" valign="middle" >−10.4, 0.45</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >1.70</td><td align="center" valign="middle" >0.017</td></tr></tbody></table></table-wrap></table-wrap-group><p>the different causes of ARDS. On the other hand, the use of dexamethasone is cost-effective, which is a genuine concern in resources constraint countries, (https://rx-sales.biz/search?q=decadron+2+mg+cost, https://rx-storepills.biz/search?q=medrol+price&amp;subid=ag2) in addition, dexamethasone was the earliest evaluated steroid found to reduce mortality in the treatment of COVID-19 patients as was shown in the RECOVERY study [<xref ref-type="bibr" rid="scirp.127861-ref6">6</xref>] , despite patients having more critical radiological lesions [<xref ref-type="bibr" rid="scirp.127861-ref21">21</xref>] . However, another study showed that mortality was lower with methylprednisolone treatment at doses 1 mg/kg/day for three or more days in patients who required mechanical ventilation compared with dexamethasone dosed at least at 6 mg for ≥7 days (OR 0.48, 95% CI: 0.235 - 0.956, p = 0.04) [<xref ref-type="bibr" rid="scirp.127861-ref9">9</xref>] . Hitherto, dexamethasone was found to be equally effective in studies that compared both steroids focusing on mortality [<xref ref-type="bibr" rid="scirp.127861-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.127861-ref23">23</xref>] . Higher doses of dexamethasone (20 mg once daily for 5 days, followed by 10 mg once daily for an additional 5 days) compared with low-dose dexamethasone (6 mg once daily for 10 days) demonstrated the reduction in clinical worsening on day 11, with same mortality and recovery by day 28 [<xref ref-type="bibr" rid="scirp.127861-ref24">24</xref>] while high-dose methylprednisolone caused higher mortality 39% versus 18.6% [<xref ref-type="bibr" rid="scirp.127861-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.127861-ref26">26</xref>] .</p><p>In this study, comparing the use of dexamethasone versus methylprednisolone demonstrated significantly higher mortality in patients with methylprednisolone treatment (2-sided test for equality of proportions p = 0.03), and (generalized linear model OR = 1.59, 95% C.I. 1.04 - 2.45, p = 0.03) in the PSM adjusted patients, and SIPTW patients (OR = 1.70, 95% C.I. 1.10 - 2.66, p = 0.017). At the same time, no significant difference was found for the other outcomes: recovery, the need for home oxygen therapy on hospital discharge, and residual symptoms on hospital discharge.</p><p>Our study did not evaluate chronological oxygen improvement for the treated patients for either steroid yet, we looked at the discharge need for oxygen as a surrogate maker of efficacy for both steroids, and both were equivalent in the PSM analysis (p = 0.22) and SIPTW analysis (OR = 0.75, 95%CI, 0.56, 1.00, p = 0.06). Although a study showed that methylprednisolone at standard doses (1 - 2 mg/kg/day) was better than dexamethasone in correcting PaO2/FiO2 ratios in severely sick ICU patients on mechanical ventilators, mortality was similar; meanwhile, high-dose steroids were found to be deleterious in recovery and caused more mortality [<xref ref-type="bibr" rid="scirp.127861-ref26">26</xref>] . But again, in Rana MA et al. study dexamethasone brought better chronological improvement in correcting PaO2/FiO2 ratios [<xref ref-type="bibr" rid="scirp.127861-ref26">26</xref>] .</p><p>Both recovery and residual symptoms on discharge demonstrated no significant outcome differences for dexamethasone versus methylprednisolone in treating COVID-10 patients, whether analyzed as unmatched or PSM patients (p &gt; 0.28).</p></sec><sec id="s5"><title>5. Conclusion</title><p>No question is whether steroids’ benefit in treating viral pneumonia/ARDS in COVID-19 patients exists, with mortality benefits revealed. In our study, an attempt was made to maximally control for many confounders by PSM and SIPTW to avoid bias while analyzing the outcomes maximally. In all cohorts, PSM and SIPTW analyzed patients, the mortality of patients with COVID-19 was significantly (p &lt; 0.05) less with dexamethasone than with methylprednisolone. Despite our methodology of PSM analysis, which is believed to be robust in minimizing bias in retrospective studies to a reasonable extent, a powered randomized controlled trial for a similar study concept needs to be planned to assure confidence in the outcome.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Al Ramahi, J.W., Hasan, N., Matar, A., Al-Ali, M.M., Abdulhadi, L., Kaf, D.A., Saadeh, W., Hamdan, N., Khalaf, H.A., Gharaibeh, M., Hamadallah, H., Bader, A., Atout, M., Mar’I, S.M. and Alhamed, T. (2023) The Effect of Dexamethasone versus Methylprednisolone in the Treatment of COVID-19 Patients in Jordan. 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