The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Risk of QT Interval Prolongation Associated With Use of Hydroxychloroquine With or Without Concomitant Azithromycin Among Hospitalized Patients Testing Positive for Coronavirus Disease 2019 (COVID-19)
Open accessAbstract
IMPORTANCE: Administration of hydroxychloroquine with or without azithromycin for the treatment of coronavirus disease 2019 (COVID-19)-associated pneumonia carries increased risk of corrected QT (QTc) prolongation and cardiac arrhythmias. OBJECTIVE: To characterize the risk and degree of QT prolongation in patients with COVID-19 in association with their use of hydroxychloroquine with or without concomitant azithromycin. DESIGN, SETTING, AND PARTICIPANTS: This was a cohort study performed at an academic tertiary care center in Boston, Massachusetts, of patients hospitalized with at least 1 positive COVID-19 nasopharyngeal polymerase chain reaction test result and clinical findings consistent with pneumonia who received at least 1 day of hydroxychloroquine from March 1, 2020, through April 7, 2020. MAIN OUTCOMES AND MEASURES: Change in QT interval after receiving hydroxychloroquine with or without azithromycin; occurrence of other potential adverse drug events. RESULTS: Among 90 patients given hydroxychloroquine, 53 received concomitant azithromycin; 44 (48.9%) were female, and the mean (SD) body mass index was 31.5 (6.6). Hypertension (in 48 patients [53.3%]) and diabetes mellitus (in 26 patients [28.9%]) were the most common comorbid conditions. The overall median (interquartile range) baseline QTc was 455 (430-474) milliseconds (hydroxychloroquine, 473 [454-487] milliseconds vs hydroxychloroquine and azithromycin, 442 [427-461] milliseconds; P < .001). Those receiving concomitant azithromycin had a greater median (interquartile range) change in QT interval (23 [10-40] milliseconds) compared with those receiving hydroxychloroquine alone (5.5 [-15.5 to 34.25] milliseconds; P = .03). Seven patients (19%) who received hydroxychloroquine monotherapy developed prolonged QTc of 500 milliseconds or more, and 3 patients (8%) had a change in QTc of 60 milliseconds or more. Of those who received concomitant azithromycin, 11 of 53 (21%) had prolonged QTc of 500 milliseconds or more and 7 of 53 (13 %) had a change in QTc of 60 milliseconds or more. The likelihood of prolonged QTc was greater in those who received concomitant loop diuretics (adjusted odds ratio, 3.38 [95% CI, 1.03-11.08]) or had a baseline QTc of 450 milliseconds or more (adjusted odds ratio, 7.11 [95% CI, 1.75-28.87]). Ten patients had hydroxychloroquine discontinued early because of potential adverse drug events, including intractable nausea, hypoglycemia, and 1 case of torsades de pointes. CONCLUSIONS AND RELEVANCE: In this cohort study, patients who received hydroxychloroquine for the treatment of pneumonia associated with COVID-19 were at high risk of QTc prolongation, and concurrent treatment with azithromycin was associated with greater changes in QTc. Clinicians should carefully weigh risks and benefits if considering hydroxychloroquine and azithromycin, with close monitoring of QTc and concomitant medication usage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Gautret, P., Lagier, J.-C., Parola, P., Hoang, V. T., Meddeb, L., Mailhe, M., Doudier, B., Courjon, J., Giordanengo, V., Vieira, V. E., et al. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105949 · Cited by 5,288
RetractedWang, M., Cao, R., Zhang, L., Yang, X., Liu, J., Xu, M., Shi, Z., Hu, Z., Zhong, W., & Xiao, G. (2020) · Cell Research · doi:10.1038/s41422-020-0282-0 · Cited by 6,958
COVID-19 and cardiovascular disease
Clerkin, K. J., Fried, J. A., Raikhelkar, J., Sayer, G., Griffin, J. M., Masoumi, A., Jain, S. S., Burkhoff, D., Kumaraiah, D., Rabbani, L., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.046941 · Cited by 1,738
Borba, M. G. S., Val, F. F. A., Sampaio, V. S., Alexandre, M. A. A., Melo, G. C., Brito, M., Mourão, M. P. G., Brito-Sousa, J. D., Baía-da-Silva, D., Guerra, M. V. F., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.8857 · Cited by 1,038
Bhimraj, A., Morgan, R. L., Shumaker, A. H., Lavergne, V., Baden, L., Cheng, V. C.-C., Edwards, K. M., Gandhi, R., Muller, W. J., O’Horo, J. C., et al. (2024) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa478 · Cited by 1,033
Azithromycin and the Risk of Cardiovascular Death
Ray, W. A., Murray, K. T., Hall, K., Arbogast, P. G., & Stein, C. M. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1003833 · Cited by 954
Molina, J. M., Delaugerre, C., Le Goff, J., Mela-Lima, B., Ponscarme, D., Goldwirt, L., & de Castro, N. (2020) · Médecine et Maladies Infectieuses · doi:10.1016/j.medmal.2020.03.006 · Cited by 749
The QT interval in patients with COVID-19 treated with hydroxychloroquine and azithromycin
Chorin, E., Dai, M., Shulman, E., Wadhwani, L., Bar-Cohen, R., Barbhaiya, C., Aizer, A., Holmes, D., Bernstein, S., Spinelli, M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0888-2 · Cited by 417
Tisdale, J. E., Jaynes, H. A., Kingery, J. R., Mourad, N. A., Trujillo, T. N., Overholser, B. R., & Kovacs, R. J. (2013) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.113.000152 · Cited by 385
[Expert consensus on chloroquine phosphate for the treatment of novel coronavirus pneumonia].
(2020) · PubMed · doi:10.3760/cma.j.issn.1001-0939.2020.0019 · Cited by 189
Cited by
Contou, D., Claudinon, A., Pajot, O., Micaëlo, M., Longuet Flandre, P., Dubert, M., Cally, R., Logre, E., Fraissé, M., Mentec, H., et al. (2020) · Annals of Intensive Care · doi:10.1186/s13613-020-00736-x · Cited by 325
Lane, J. C. E., Weaver, J., Kostka, K., Duarte-Salles, T., Abrahao, M. T. F., Alghoul, H., Alser, O., Alshammari, T. M., Biedermann, P., Banda, J. M., et al. (2020) · The Lancet Rheumatology · doi:10.1016/s2665-9913(20)30276-9 · Cited by 258
Methodological quality of COVID-19 clinical research
Jung, R. G., Di Santo, P., Clifford, C., Prosperi-Porta, G., Skanes, S., Hung, A., Parlow, S., Visintini, S., Ramirez, F. D., Simard, T., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21220-5 · Cited by 189
Rubin, G. A., Desai, A. D., Chai, Z., Wang, A., Chen, Q., Wang, A. S., Kemal, C., Baksh, H., Biviano, A., Dizon, J. M., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.6842 · Cited by 54
Treatments Administered to the First 9152 Reported Cases of COVID-19: A Systematic Review
Fajgenbaum, D. C., Khor, J. S., Gorzewski, A., Tamakloe, M.-A., Powers, V., Kakkis, J. J., Repasky, M., Taylor, A., Beschloss, A., Hernandez-Miyares, L., et al. (2020) · Infectious Diseases and Therapy · doi:10.1007/s40121-020-00303-8 · Cited by 52
Metadata
- Authors
- Mercuro, N. J., Yen, C. F., Shim, D. J., Maher, T. R., McCoy, C. M., Zimetbaum, P. J., & Gold, H. S.
- Venue
- JAMA Cardiology
- Publisher
- American Medical Association (AMA)
- Published
- 2020-09-01
- Volume
- 5
- Issue
- 9
- Pages
- 1036
- ISSN
- 2380-6583 (ISSN-L)
- OpenAlex
- W3022358203
- Cited by
- 698
- References
- 13
- FWCI
- 92.59
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk of QT Interval Prolongation Associated With Use of Hydroxychloroquine With or Without Concomitant Azithromycin Among Hospitalized Patients Testing Positive for Coronavirus Disease 2019 (COVID-19). https://app.cochat.ai/papers/10.1001/jamacardio.2020.1834
- The paper
- Mercuro, N. J., Yen, C. F., Shim, D. J., Maher, T. R., McCoy, C. M., Zimetbaum, P. J., & Gold, H. S. (2020). Risk of QT Interval Prolongation Associated With Use of Hydroxychloroquine With or Without Concomitant Azithromycin Among Hospitalized Patients Testing Positive for Coronavirus Disease 2019 (COVID-19). JAMA Cardiology. https://doi.org/10.1001/jamacardio.2020.1834
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.