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Cited by 791

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series

Open access
Argenziano, Michael G, Bruce, Samuel L, Slater, Cody L, Tiao, Jonathan R, Baldwin, Matthew R, Barr, R Graham, Chang, Bernard P, Chau, Katherine H, Choi, Justin J, Gavin, Nicholas, Goyal, Parag, Mills, Angela M, Patel, Ashmi A, Romney, Marie-Laure S, Safford, Monika M, Schluger, Neil W, Sengupta, Soumitra, Sobieszczyk, Magdalena E, Zucker, Jason E, Asadourian, Paul A, Bell, Fletcher M, Boyd, Rebekah, Cohen, Matthew F, Colquhoun, MacAlistair I, Colville, Lucy A, de Jonge, Joseph H, Dershowitz, Lyle B, Dey, Shirin A, Eiseman, Katherine A, Girvin, Zachary P, Goni, Daniella T, Harb, Amro A, Herzik, Nicholas, Householder, Sarah, Karaaslan, Lara E, Lee, Heather, Lieberman, Evan, Ling, Andrew, Lu, Ree, Shou, Arthur Y, Sisti, Alexander C, Snow, Zachary E, Sperring, Colin P, Xiong, Yuqing, Zhou, Henry W, Natarajan, Karthik, Hripcsak, George, Chen, Ruijun·2020·BMJ
DOI 10.1136/bmj.m1996

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Abstract

Objective: To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units. Design: Retrospective manual medical record review. Setting: NewYork-Presbyterian/Columbia University Irving Medical Center, a quaternary care academic medical center in New York City. Participants: The first 1000 consecutive patients with a positive result on the reverse transcriptase polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who presented to the emergency department or were admitted to hospital between 1 March and 5 April 2020. Patient data were manually abstracted from electronic medical records. Main outcome measures: Characterization of patients, including demographics, presenting symptoms, comorbidities on presentation, hospital course, time to intubation, complications, mortality, and disposition. Results: Of the first 1000 patients, 150 presented to the emergency department, 614 were admitted to hospital (not intensive care units), and 236 were admitted or transferred to intensive care units. The most common presenting symptoms were cough (732/1000), fever (728/1000), and dyspnea (631/1000). Patients in hospital, particularly those treated in intensive care units, often had baseline comorbidities including hypertension, diabetes, and obesity. Patients admitted to intensive care units were older, predominantly male (158/236, 66.9%), and had long lengths of stay (median 23 days, interquartile range 12-32 days); 78.0% (184/236) developed acute kidney injury and 35.2% (83/236) needed dialysis. Only 4.4% (6/136) of patients who required mechanical ventilation were first intubated more than 14 days after symptom onset. Time to intubation from symptom onset had a bimodal distribution, with modes at three to four days, and at nine days. As of 30 April, 90 patients remained in hospital and 211 had died in hospital. Conclusions: Patients admitted to hospital with covid-19 at this medical center faced major morbidity and mortality, with high rates of acute kidney injury and inpatient dialysis, prolonged intubations, and a bimodal distribution of time to intubation from symptom onset.

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  1. 10.1097/MCC.0b013e32835914d5 · DOI
  2. 10.1056/NEJMsb2005114 · DOI · Paper page
  3. 10.1056/NEJMoa2004500 · DOI · Paper page
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  5. Petrilli CM, Jones SA, Yang J, et al. Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City. medRxiv. 2020. · DOI
  6. Hartigan, 1985, Algorithm AS 217: Computation of the dip statistic to test for unimodality, J R Stat Soc Ser C Appl Stat, 34, 320
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  8. 10.1186/cc8044 · DOI · Paper page
  9. 10.1097/01.CCM.0000053651.38421.D9 · DOI · Paper page
  10. 10.5535/arm.2015.39.5.763 · DOI

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Metadata

Authors
Argenziano, M. G., Bruce, S. L., Slater, C. L., Tiao, J. R., Baldwin, M. R., Barr, R. G., Chang, B. P., Chau, K. H., Choi, J. J., Gavin, N., Goyal, P., Mills, A. M., Patel, A. A., Romney, M.-L. S., Safford, M. M., Schluger, N. W., Sengupta, S., Sobieszczyk, M. E., Zucker, J. E., Asadourian, P. A., Bell, F. M., Boyd, R., Cohen, M. F., Colquhoun, M. I., Colville, L. A., de Jonge, J. H., Dershowitz, L. B., Dey, S. A., Eiseman, K. A., Girvin, Z. P., Goni, D. T., Harb, A. A., Herzik, N., Householder, S., Karaaslan, L. E., Lee, H., Lieberman, E., Ling, A., Lu, R., Shou, A. Y., Sisti, A. C., Snow, Z. E., Sperring, C. P., Xiong, Y., Zhou, H. W., Natarajan, K., Hripcsak, G., & Chen, R.
Venue
BMJ
Publisher
BMJ
Published
2020-05-29
Volume
369
Pages
m1996
ISSN
1756-1833 (ISSN-L)
DOI
10.1136/bmj.m1996
OpenAlex
W3030700284
Cited by
791
References
12
FWCI
22.18
Type
journal article
Language
en
Open access
hybrid
Licence
creativecommons.org/licenses/by-nc/4.0/ (unspecified)

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CoChat. (2026). Citation check: Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. https://app.cochat.ai/papers/10.1136/bmj.m1996
The paper
Argenziano, M. G., Bruce, S. L., Slater, C. L., Tiao, J. R., Baldwin, M. R., Barr, R. G., Chang, B. P., Chau, K. H., Choi, J. J., Gavin, N., Goyal, P., Mills, A. M., Patel, A. A., Romney, M.-L. S., Safford, M. M., Schluger, N. W., Sengupta, S., Sobieszczyk, M. E., Zucker, J. E., . . . Chen, R. (2020). Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. BMJ. https://doi.org/10.1136/bmj.m1996

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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.