| Literature DB >> 34962924 |
Olulade Ayodele1, Kaili Ren1, Jing Zhao2, James Signorovitch2, Michele Jonsson Funk3, Julia Zhu4, Ying Bao4, Kathleen Gondek1, Hillary Keenan1.
Abstract
The objective of this retrospective cohort study was to describe pre-treatment characteristics, treatment patterns, health resource use, and clinical outcomes among adults hospitalized with COVID-19 in the United States (US) who initiated common treatments for COVID-19. The Optum® COVID-19 electronic health records database was used to identify patients >18 years, diagnosed with COVID-19, who were admitted to an inpatient setting and received treatments of interest for COVID-19 between September 2020 and January 2021. Patients were stratified into cohorts based on index treatment use. Patient demographics, medical history, care setting, medical procedures, subsequent treatment use, patient disposition, clinical improvement, and outcomes were summarized descriptively. Among a total of 26,192 patients identified, the most prevalent treatments initiated were dexamethasone (35.4%) and dexamethasone + remdesivir (14.9%), and dexamethasone was the most common subsequent treatment. At day 14 post-index, <10% of patients received any treatments of interest. Mean (standard deviation [SD]) patient age was 65.6 (15.6) years, and the most prevalent comorbidities included hypertension (44.8%), obesity (35.4%), and diabetes (25.7%). At the end of follow-up, patients had a mean (SD) 8.1 (6.6) inpatient days and 1.4 (4.1) days with ICU care. Oxygen supplementation, non-invasive, or invasive ventilation was required by 4.5%, 3.0%, and 3.1% of patients, respectively. At the end of follow-up, 84.2% of patients had evidence of clinical improvement, 3.1% remained hospitalized, 83.8% were discharged, 4% died in hospital, and 9.1% died after discharge. Although the majority of patients were discharged alive, no treatments appeared to alleviate the inpatient morbidity and mortality associated with COVID-19. This highlights an unmet need for effective treatment options for patients hospitalized with COVID-19.Entities:
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Year: 2021 PMID: 34962924 PMCID: PMC8714107 DOI: 10.1371/journal.pone.0261707
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient disposition and resource use.
| Overall (N = 26,192) | Dexamethasone (N = 9,269) | Dexamethasone +Remdesivir (N = 3,891) | Azithromycin +Dexamethasone (N = 3,405) | Azithromycin (N = 3,373) | Remdesivir (N = 3,002) | |
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| ICU | 2,185 (8.3) | 720 (7.8) | 360 (9.3) | 352 (10.3) | 163 (4.8) | 189 (6.3) |
| Oxygen supplementation | 1,171 (4.5) | 374 (4.0) | 253 (6.5) | 182 (5.3) | 100 (3.0) | 82 (2.7) |
| Non-invasive ventilation | 775 (3.0) | 246 (2.7) | 126 (3.2) | 146 (4.3) | 59 (1.7) | 41 (1.4) |
| Invasive ventilation | 825 (3.1) | 303 (3.3) | 145 (3.7) | 134 (3.9) | 52 (1.5) | 45 (1.5) |
| ECMO | 6 (< 0.1) | 4 (< 0.1) | 1 (< 0.1) | 0 | 0 | 0 |
| Vasopressor use | 156 (0.6) | 72 (0.8) | 25 (0.6) | 23 (0.7) | 12 (0.4) | 6 (0.2) |
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| In hospital | 803 (3.1) | 237 (2.6) | 122 (3.1) | 123 (3.6) | 81 (2.4) | 110 (3.7) |
| Discharged alive | 21,955 (83.8) | 7,835 (84.5) | 3,273 (84.1) | 2,758 (81.0) | 2,945 (87.3) | 2,455 (81.8) |
| Death during index admission | 1,045 (4.0) | 399 (4.3) | 174 (4.5) | 157 (4.6) | 107 (3.2) | 75 (2.5) |
| Death after discharge from index admission | 2,389 (9.1) | 798 (8.6) | 322 (8.3) | 367 (10.8) | 240 (7.1) | 362 (12.1) |
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| Cumulative inpatient days during index admission | 8.1 (6.6) | 7.2 (6.4) | 8.3 (6.4) | 8.6 (6.9) | 7.5 (6.3) | 9.2 (6.7) |
| Cumulative days with ICU care during index admission | 1.4 (4.1) | 1.2 (3.7) | 1.5 (4.3) | 1.7 (4.4) | 0.8 (3.0) | 1.4 (4.3) |
| Cumulative days with mechanical ventilation or ECMO during index admission | 0.9 (3.1) | 0.8 (2.9) | 1.0 (3.1) | 1.2 (3.6) | 0.6 (2.3) | 0.6 (2.5) |
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| ICU | 243 (13.9) | 46 (7.5) | 72 (13.0) | 33 (15.3) | 5 (5.7) | 1 (4.0) |
| Oxygen supplementation | 122 (7.0) | 21 (3.4) | 30 (5.4) | 5 (2.3) | 2 (2.3) | 0 |
| Non-invasive ventilation | 92 (5.3) | 15 (2.4) | 40 (7.2) | 10 (4.7) | 0 | 0 |
| Invasive ventilation | 92 (5.3) | 16 (2.6) | 26 (4.7) | 10 (4.7) | 0 | 1 (4.0) |
| ECMO | 1 (< 0.1) | 0 | 0 | 0 | 0 | 0 |
| Vasopressor use | 14 (0.8) | 3 (0.5) | 1 (0.2) | 0 | 0 | 0 |
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| In hospital | 78 (4.5) | 23 (3.7) | 18 (3.3) | 6 (2.8) | 2 (2.3) | 2 (8.0) |
| Discharged alive | 1,417 (81.1) | 549 (89.3) | 453 (82.1) | 168 (78.1) | 76 (86.4) | 21 (84.0) |
| Death during index admission | 83 (4.8) | 14 (2.3) | 24 (4.3) | 10 (4.7) | 1 (1.1) | 0 |
| Death after discharge from index admission | 169 (9.7) | 29 (4.7) | 57 (10.3) | 31 (14.4) | 9 (10.2) | 2 (8.0) |
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| Cumulative inpatient days during index admission | 9.6 (7. 2) | 8.7 (6.7) | 9.1 (6.4) | 10.1 (7.0) | 7.4 (6.5) | 9.0 (7.5) |
| Cumulative days of ICU care during index admission | 2.4 (5.4) | 1.4 (4.3) | 1.7 (4.2) | 1.8 (3.8) | 0.8 (2.8) | 1.1 (4.0) |
| Cumulative days of mechanical ventilation or ECMO during index admission | 1.6 (4.2) | 0.8 (3.0) | 1.2 (3.2) | 1.3 (3.2) | 0.5 (2.7) | 0.4 (1.6) |
ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; SD, standard deviation.
Patient disposition data may not align with Fig 3 as death is prioritized over other categories.
Data for the tocilizumab cohort are not presented due to small sample size.
Fig 3Geographical distribution of index treatment use.
a) Dexamethasone (n = 9,269), b) Dexamethasone + remdesivir (n = 3,891), c) Azithromycin + dexamethasone (n = 3,405), d) Azithromycin (n = 3,373), e) Remdesivir (n = 3,002), f) Azithromycin + dexamethasone + remdesivir (n = 1,747), G) Azithromycin + remdesivir (n = 615), h) Convalescent plasma + dexamethasone + remdesivir (n = 552), i) Convalescent plasma (n = 215), j) Hydroxychloroquine (n = 88), k) Azithromycin + hydroxychloroquine (n = 25). * Includes Alaska and Hawaii. Data for the tocilizumab cohort are not presented due to small sample size.
Pre-treatment patient characteristics.
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| Mean (SD) | 65.6 (15.6) | 65.2 (16.0) | 66.0 (15.1) | 66.5 (15.3) | 64.7 (16.6) | 66.9 (14.5) | 65.6 (14.8) |
| 18–64, n (%) | 11,348 (43.3) | 4,105 (44.3) | 1,702 (43.7) | 1,402 (41.2) | 1,516 (44.9) | 1,204 (40.1) | 774 (44.3) |
| ≥65, n (%) | 14,844 (56.7) | 5,164 (55.7) | 2,189 (56.3) | 2,003 (58.8) | 1,857 (55.1) | 1,798 (59.9) | 973 (55.7) |
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| 14,044 (53.6) | 4,751 (51.3) | 2,141 (55.0) | 1,917 (56.3) | 1,773 (52.6) | 1,624 (54.1) | 1,035 (59.2) |
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| White | 18,657 (71.2) | 6,917 (74.6) | 2,920 (75.0) | 2,566 (75.4) | 1,900 (56.3) | 2,007 (66.9) | 1,358 (77.7) |
| Black | 3,381 (12.9) | 1,007 (10.9) | 325 (8.4) | 377 (11.1) | 713 (21.1) | 562 (18.7) | 151 (8.6) |
| Asian | 531 (2.0) | 176 (1.9) | 86 (2.2) | 57 (1.7) | 81 (2.4) | 54 (1.8) | 35 (2.0) |
| Other/Unknown | 3,623 (13.8) | 1,169 (12.6) | 560 (14.4) | 405 (11.9) | 679 (20.1) | 379 (12.6) | 203 (11.6) |
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| East North Central | 6,282 (24.0) | 2,320 (25.0) | 725 (18.6) | 739 (21.7) | 845 (25.1) | 963 (32.1) | 308 (17.6) |
| South Atlantic/ | 4,793 (18.3) | 1,726 (18.6) | 745 (19.1) | 653 (19.2) | 248 (7.4) | 859 (28.6) | 328 (18.8) |
| West North Central | 4,699 (17.9) | 1,850 (20.0) | 785 (20.2) | 697 (20.5) | 450 (13.3) | 114 (3.8) | 433 (24.8) |
| Middle Atlantic | 3,808 (14.5) | 1,004 (10.8) | 586 (15.1) | 319 (9.4) | 1,244 (36.9) | 162 (5.4) | 165 (9.4) |
| East South Central | 2,395 (9.1) | 729 (7.9) | 170 (4.4) | 453 (13.3) | 152 (4.5) | 633 (21.1) | 195 (11.2) |
| Mountain | 1,759 (6.7) | 810 (8.7) | 223 (5.7) | 344 (10.1) | 161 (4.8) | 45 (1.5) | 134 (7.7) |
| New England | 1,322 (5.0) | 464 (5.0) | 472 (12.1) | 78 (2.3) | 116 (3.4) | 65 (2.2) | 105 (6.0) |
| Pacific | 412 (1.6) | 106 (1.1) | 75 (1.9) | 33 (1.0) | 77 (2.3) | 76 (2.5) | 18 (1.0) |
| Other/Unknown | 722 (2.8) | 260 (2.8) | 110 (2.8) | 89 (2.6) | 80 (2.4) | 85 (2.8) | 61 (3.5) |
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| Underweight | 313 (1.2) | 109 (1.2) | 33 (0.8) | 40 (1.2) | 62 (1.8) | 35 (1.2) | 15 (0.9) |
| Healthy weight | 2,748 (10.5) | 1,086 (11.7) | 360 (9.3) | 309 (9.1) | 369 (10.9) | 344 (11.5) | 122 (7.0) |
| Overweight | 4,524 (17.3) | 1,716 (18.5) | 645 (16.6) | 515 (15.1) | 568 (16.8) | 575 (19.2) | 264 (15.1) |
| Obese | 3,982 (15.2) | 1,391 (15.0) | 601 (15.4) | 482 (14.2) | 484 (14.3) | 520 (17.3) | 236 (13.5) |
| Morbidly obese | 5,296 (20.2) | 1,919 (20.7) | 773 (19.9) | 646 (19.0) | 539 (16.0) | 710 (23.7) | 364 (20.8) |
| Unknown | 9,329 (35.6) | 3,048 (32.9) | 1,479 (38.0) | 1,413 (41.5) | 1,351 (40.1) | 818 (27.2) | 746 (42.7) |
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| Cardiac disease | |||||||
| Hypertension | 11,740 (44.8) | 4,325 (46.7) | 1,806 (46.4) | 1,409 (41.4) | 1,356 (40.2) | 1,460 (48.6) | 695 (39.8) |
| Arrhythmia | 4,309 (16.5) | 1,662 (17.9) | 697 (17.9) | 461 (13.5) | 482 (14.3) | 548 (18.3) | 232 (13.3) |
| Coronary artery disease | 3,762 (14.4) | 1,384 (14.9) | 556 (14.3) | 453 (13.3) | 438 (13.0) | 513 (17.1) | 202 (11.6) |
| Heart failure | 3,121 (11.9) | 1,160 (12.5) | 471 (12.1) | 354 (10.4) | 366 (10.9) | 414 (13.8) | 155 (8.9) |
| Stroke or TIA | 2,033 (7.8) | 822 (8.9) | 283 (7.3) | 212 (6.2) | 247 (7.3) | 265 (8.8) | 90 (5.2) |
| Respiratory disease | |||||||
| ARDS/respiratory failure | 3,637 (13.9) | 1,225 (13.2) | 704 (18.1) | 301 (8.8) | 252 (7.5) | 695 (23.2) | 217 (12.4) |
| COPD | 3,142 (12.0) | 1,071 (11.6) | 454 (11.7) | 411 (12.1) | 379 (11.2) | 407 (13.6) | 214 (12.2) |
| Asthma | 1,825 (7.0) | 708 (7.6) | 265 (6.8) | 219 (6.4) | 214 (6.3) | 193 (6.4) | 110 (6.3) |
| Diabetes mellitus | 6,729 (25.7) | 2,387 (25.8) | 1,030 (26.5) | 808 (23.7) | 768 (22.8) | 922 (30.7) | 392 (22.4) |
| Obesity (BMI ≥ 30kg/m2) | 9,278 (35.4) | 3,310 (35.7) | 1,374 (35.3) | 1,128 (33.1) | 1,023 (30.3) | 1,230 (41.0) | 600 (34.3) |
| Kidney disease | |||||||
| Chronic kidney disease | 3,904 (14.9) | 1,509 (16.3) | 539 (13.9) | 473 (13.9) | 494 (14.6) | 422 (14.1) | 203 (11.6) |
| Acute renal failure | 3,396 (13.0) | 1,378 (14.9) | 471 (12.1) | 334 (9.8) | 387 (11.5) | 483 (16.1) | 143 (8.2) |
| VTE | 836 (3.2) | 295 (3.2) | 126 (3.2) | 82 (2.4) | 113 (3.4) | 122 (4.1) | 45 (2.6) |
ARDS: acute respiratory distress syndrome; BMI: body mass index; COPD: chronic obstructive pulmonary disease; SD: standard deviation; TIA: transient ischemic attack; VTE: venous thromboembolism.
Data for the tocilizumab cohort are not presented due to small sample size.