Experience With Hydroxychloroquine and Azithromycin in the Coronavirus Disease 2019 Pandemic: Implications for QT Interval Monitoring
Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Resul...
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Published in | Journal of the American Heart Association Vol. 9; no. 12; p. e017144 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
16.06.2020
Wiley |
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Abstract | Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID-19-positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12-lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID-19-positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID-19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms (
=0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus -0.2±28 ms in women;
=0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms;
=0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID-19 patients should be carefully assessed. |
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AbstractList | Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID-19-positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12-lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID-19-positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID-19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms (P=0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus -0.2±28 ms in women; P=0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms; P=0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID-19 patients should be carefully assessed.Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID-19-positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12-lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID-19-positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID-19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms (P=0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus -0.2±28 ms in women; P=0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms; P=0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID-19 patients should be carefully assessed. Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID‐19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID‐19–positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12‐lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID‐19–positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID‐19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms (P=0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus −0.2±28 ms in women; P=0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms; P=0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID‐19 patients should be carefully assessed. Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID-19-positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12-lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID-19-positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID-19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms ( =0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus -0.2±28 ms in women; =0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms; =0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID-19 patients should be carefully assessed. |
Author | Chugh, Sumeet S Reinier, Kyndaron Park, Eunice Albert, Christine M Cheng, Susan Chugh, Harpriya Ebinger, Joseph Thompson, Michael Ramireddy, Archana Cingolani, Eugenio Marban, Eduardo |
AuthorAffiliation | 2 Enterprise Information Systems Data Intelligence Team Cedars‐Sinai Health System Los Angeles CA 1 The Smidt Heart Institute, Cedars‐Sinai Health System Los Angeles CA |
AuthorAffiliation_xml | – name: 2 Enterprise Information Systems Data Intelligence Team Cedars‐Sinai Health System Los Angeles CA – name: 1 The Smidt Heart Institute, Cedars‐Sinai Health System Los Angeles CA |
Author_xml | – sequence: 1 givenname: Archana surname: Ramireddy fullname: Ramireddy, Archana organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 2 givenname: Harpriya surname: Chugh fullname: Chugh, Harpriya organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 3 givenname: Kyndaron surname: Reinier fullname: Reinier, Kyndaron organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 4 givenname: Joseph surname: Ebinger fullname: Ebinger, Joseph organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 5 givenname: Eunice surname: Park fullname: Park, Eunice organization: Enterprise Information Systems Data Intelligence Team Cedars-Sinai Health System Los Angeles CA – sequence: 6 givenname: Michael surname: Thompson fullname: Thompson, Michael organization: Enterprise Information Systems Data Intelligence Team Cedars-Sinai Health System Los Angeles CA – sequence: 7 givenname: Eugenio surname: Cingolani fullname: Cingolani, Eugenio organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 8 givenname: Susan surname: Cheng fullname: Cheng, Susan organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 9 givenname: Eduardo surname: Marban fullname: Marban, Eduardo organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 10 givenname: Christine M surname: Albert fullname: Albert, Christine M organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA – sequence: 11 givenname: Sumeet S surname: Chugh fullname: Chugh, Sumeet S organization: The Smidt Heart Institute, Cedars-Sinai Health System Los Angeles CA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32463348$$D View this record in MEDLINE/PubMed |
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Keywords | QT interval azithromycin COVID‐19 hydroxychloroquine monitoring |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 For Sources of Funding and Disclosures, see page 7. Preprint posted on MedRxiv, April 25, 2020. doi: https://doi.org/10.1101/2020.04.22.20075671. |
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References | e_1_3_1_8_2 e_1_3_1_13_2 e_1_3_1_11_2 e_1_3_1_9_2 e_1_3_1_10_2 e_1_3_1_4_2 McGhie TK (e_1_3_1_7_2) 2018; 36 e_1_3_1_17_2 e_1_3_1_3_2 e_1_3_1_16_2 e_1_3_1_6_2 e_1_3_1_15_2 e_1_3_1_5_2 e_1_3_1_14_2 e_1_3_1_2_2 Lakkireddy DR (e_1_3_1_12_2) 2020 e_1_3_1_19_2 e_1_3_1_18_2 |
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Snippet | Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected... |
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SubjectTerms | Anti-Bacterial Agents - therapeutic use Antimalarials - therapeutic use azithromycin Azithromycin - therapeutic use Betacoronavirus Coronavirus Infections - complications Coronavirus Infections - drug therapy COVID-19 Drug Therapy, Combination Electrocardiography - drug effects Female Humans hydroxychloroquine Hydroxychloroquine - therapeutic use Long QT Syndrome - chemically induced Long QT Syndrome - physiopathology Male Middle Aged monitoring Original Research Pandemics Pneumonia, Viral - complications Pneumonia, Viral - drug therapy Prognosis QT interval Risk Factors SARS-CoV-2 |
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Title | Experience With Hydroxychloroquine and Azithromycin in the Coronavirus Disease 2019 Pandemic: Implications for QT Interval Monitoring |
URI | https://www.ncbi.nlm.nih.gov/pubmed/32463348 https://www.proquest.com/docview/2407579882 https://pubmed.ncbi.nlm.nih.gov/PMC7429030 https://doaj.org/article/0d3e5aa010dc418ea8a46c281b8e15c2 |
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