| Literature DB >> 33846730 |
Rebecca N Kumar1, En-Ling Wu1, Valentina Stosor1,2, William J Moore3, Chad Achenbach1,4, Michael G Ison1,2, Michael P Angarone1.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) has strained healthcare systems with patient hospitalizations and deaths. Anti-spike monoclonal antibodies, including bamlanivimab, have demonstrated reduction in hospitalization rates in clinical trials, yet real-world evidence is lacking.Entities:
Keywords: COVID-19; SARS-CoV-2; bamlanivimab; monoclonal antibody
Mesh:
Substances:
Year: 2022 PMID: 33846730 PMCID: PMC8083260 DOI: 10.1093/cid/ciab305
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079
Figure 1.Study flowchart for inclusion. Abbreviation: mAb, monoclonal antibody.
Baseline Characteristics of 403 Coronavirus Disease 2019 (COVID-19) Patients Between 11 November 2020 and 19 January 2021
| Characteristics | Total Study Population (n = 403) | Bamlanivimab Therapy (n = 218) | No Bamlanivimab (n = 185) |
|
|---|---|---|---|---|
| Age | ||||
| Median age (IQR) | 64 (53–73) | 66 (57–74) | 62 (50–72) | .008a |
| ≥65 years (%) | 199 (49.4%) | 117 (53.6%) | 82 (44.3%) | .061 |
| Male | 210 (52.1%) | 115 (52.8%) | 95 (51.4%) | .779 |
| Self-identified race/ethnicity | ||||
| White | 295 (73.2%) | 173 (79.4%) | 122 (65.9%) | .002 |
| Hispanic | 61 (15.1%) | 25 (11.5%) | 36 (19.5%) | .026 |
| Black | 47 (11.7%) | 13 (6.0%) | 34 (18.4%) | <.001 |
| Asian | 14 (3.5%) | 9 (4.1%) | 5 (2.7%) | .436 |
| Native American | 2 (0.5%) | 0 | 2 (1.1%) | .124 |
| Native Hawaiian/Pacific Islander | 1 (0.2%) | 0 | 1 (0.5%) | .277 |
| Other | 32 (7.9%) | 17 (7.8%) | 15 (8.1%) | .909 |
| Declined | 12 (3.0%) | 6 (3.0%) | 6 (3.2%) | .773 |
| Primary language spoken | ||||
| English | 369 (91.6%) | 207 (95.0%) | 162 (87.6%) | .008 |
| Spanish | 30 (7.4%) | 11 (5.0%) | 19 (10.3%) | .046 |
| Other | 4 (1.0%) | 0 (0%) | 4 (2.1%) | .029 |
| Insurance status | ||||
| Private | 175 (43.4%) | 94 (43.1%) | 124 (56.9%) | .893 |
| Medicare | 186 (46.2%) | 109 (50%) | 77 (41.6%) | .093 |
| Medicaid | 27 (6.7%) | 13 (6.0%) | 14 (7.6%) | .521 |
| Self-pay | 14 (3.5%) | 2 (0.9%) | 12 (6.5%) | .002 |
| Comorbid conditions by EUA indication | ||||
| BMI | ||||
| Median—kg/m2 (IQR) | 31.15 (26.68–36.53) | 30.45 (26.94–36.08) | 31.92 (26.46–37.79) | .54a |
| BMI ≥ 35 | 122 (30.3%) | 65 (29.8%) | 57 (30.8%) | .829 |
| Diabetes | 120 (29.8%) | 73 (33.5%) | 47 (25.4%) | .077 |
| CKD | 34 (8.4%) | 20 (9.2%) | 14 (7.6%) | .563 |
| Age ≥55 years old with hypertension | 191 (47.4%) | 110 (50.5%) | 81 (43.8%) | .181 |
| Age ≥55 years old with CVD | 79 (19.6%) | 47 (21.6%) | 32 (17.3%) | .283 |
| Age ≥55 years old with CLD | 44 (10.9%) | 31 (14.2%) | 13 (3.2%) | .021 |
| Immunosuppressed | 109 (27.0%) | 69 (31.7%) | 40 (21.6%) | .024 |
| Median CPSS (IQR) | 2 (1–3) | 2 (1–3) | 2 (1–2) | .009 |
P ≤ .05 defined as significant.
Abbreviations: BMI, body mass index; CKD, chronic kidney disease; CLD, chronic lung disease; CPSS, cumulative priority system sum; CVD, cardiovascular disease; EUA, emergency use authorization; IQR, interquartile range.
aMann-Whitney U test performed to assess statistical significance.
Symptoms and Signs of Coronavirus Disease 2019 (COVID-19) in 403 Patients
| Characteristics | Total Study Population(n = 403) | Bamlanivimab (n = 218) | No Bamlanivimab (n = 185) |
|
|---|---|---|---|---|
| Duration of symptoms before presentation, median days (IQR) | 2 (1–4) | 2 (1–4) | 3 (1–5) | <.001 |
| Duration of symptoms before bamlanivimab administration, median days (IQR) | … | 5 (4–7) | … | … |
| Symptoms | ||||
| Cough | 265 (65.8%) | 138 (63.3%) | 127 (68.6%) | .260 |
| Fever | 171 (42.3%) | 84 (38.5%) | 87 (47.0%) | .086 |
| Myalgias | 152 (37.7%) | 75 (34.4%) | 77 (41.6%) | .136 |
| Fatigue | 140 (34.8%) | 64 (29.4%) | 76 (41.1%) | .014 |
| Headache | 120 (29.8%) | 63 (28.9%) | 57 (30.8%) | .676 |
| Congestion | 114 (28.3%) | 73 (33.5%) | 41 (22.1%) | .012 |
| Dyspnea | 100 (24.8%) | 43 (19.7%) | 57 (30.8%) | .010 |
| Chills | 92 (22.8%) | 48 (22.0%) | 44 (23.8%) | .674 |
| Rhinorrhea | 61 (15.1%) | 43 (19.7%) | 18 (9.7%) | .005 |
| Sore throat | 74 (18.4%) | 40 (18.3%) | 34 (18.4%) | .994 |
| Diarrhea | 66 (16.4%) | 30 (13.8%) | 36 (19.5%) | .123 |
| Nausea | 51 (12.7%) | 25 (11.5%) | 26 (14.1%) | .436 |
| Anosmia | 38 (9.4%) | 16 (7.3%) | 22 (11.9%) | .119 |
| Hypogeusia | 37 (9.2%) | 15 (6.9%) | 22 (11.9%) | .083 |
| Malaise | 37 (9.2%) | 16 (7.3%) | 21 (11.4%) | .165 |
| Anorexia | 32 (7.9%) | 13 (6.0%) | 19 (10.3%) | .111 |
| Chest pain | 30 (7.4%) | 9 (4.1%) | 21 (11.4%) | .006 |
| Chest tightness | 27 (6.7%) | 17 (7.8%) | 10 (5.4%) | .338 |
| Arthralgias | 26 (6.5%) | 11 (5.0%) | 15 (8.1%) | .212 |
| Vomiting | 15 (3.7%) | 7 (3.2%) | 8 (4.3%) | .556 |
| Disease severity [ | ||||
| Asymptomatic | 15 (3.7%) | 4 (1.8%) | 11 (5.9%) | .030 |
| Mild | 287 (71.2%) | 162 (74.3%) | 125 (67.6%) | .136 |
| Moderate | 75 (18.6%) | 36 (16.5%) | 39 (21.1%) | .240 |
| Severe | 4 (1.0%) | 0 | 4 (2.2%) | .029 |
| Unable to assess | 22 (5.4%) | 16 (4.0%) | 6 (3.2%) | .071 |
| Initial presentation | ||||
| Ambulatory clinic | 164 (41.0%) | 99 (45.4%) | 65 (35.1%) | .036 |
| Emergency department | 125 (31.0%) | 50 (22.9%) | 75 (40.5%) | <.001 |
| Urgent care | 64 (15.9%) | 38 (17.4%) | 26 (14.1%) | .355 |
| Out of system location | 36 (8.9%) | 21 (9.6%) | 15 (8.1%) | .593 |
| Known exposure to COVID-19 | 187 (46.4%) | 98 (45.0%) | 89 (48.1%) | .527 |
| Physical exam: abnormal lung exam | 36 (8.9%) | 18 (8.3%) | 18 (9.7%) | .605 |
| Imaging studyb: abnormal lung imaging | 89 (22.1%) | 35 (16.0%) | 54 (29.2%) | .002 |
| Laboratory values | ||||
| C-reactive protein,c mg/L, median (IQR) | 31.21 (9.4375–72.05) | 23.2 (7.3–51.5) | 32.1 (10.87–87) | .378a |
| Ferritin,d mcg/L, median (IQR) | 209.55 (114.625- 670.95) | 178 (123- 605.65) | 286.1 (106.45- 670.90) | .568a |
| Lactic acid dehydrogenase,e U/L, median (IQR) | 238 (199–286) | 211 (188.5–263) | 262 (207.75–319) | .047a |
| Absolute lymphocyte count,f 103 cells/μL, median (IQR) | 1.1 (0.9–2.15) | 1.05 (0.8–1.675) | 1.2 (1–2.5) | .114a |
P ≤ .05 defined as significant.
Abbreviation: IQR, interquartile range.
aMann-Whitney U test performed to assess statistical significance.
bOne hundred thirty-six patients had imaging performed, 61 in bamlanivimab group, 75 in no bamlanivimab group.
cFifty-eight patients had lab performed: 21 patients in bamlanivimab group, 37 patients in no bamlanivimab group.
dFifty-four patients had lab performed: 19 patients in bamlanivimab group, 35 patients in no bamlanivimab group.
eFifty-seven patients had lab performed: 19 patients in bamlanivimab group, 38 patients in no bamlanivimab group.
f One hundred twenty-seven patients had lab performed: 56 patients in bamlanivimab group, 71 patients in no bamlanivimab group.
Outcomes of 403 Ambulatory Patients With Coronavirus Disease 2019 (COVID-19)
| Outcome | Total Study Population (n = 403) | Bamlanivimab Therapy (n = 218) | No Bamlanivimab (n = 185) |
|
|---|---|---|---|---|
| Number of patients hospitalized within 30 days of COVID-19 diagnosis | 53 (13.2%) | 16 (7.3%) | 37 (20.0%) | <.001 |
| Duration of hospitalization, median days (IQR) | 5 (3–8) | 4 (2.75–8) | 5 (4–8) | .572a |
| Number of patients requiring ICU admission | 7 (1.7%) | 2 (0.9%) | 5 (2.7%) | .892 |
| Number of patients requiring mechanical ventilation | 5 (1.2%) | 1 (0.5%) | 4 (2.1%) | .427 |
| Deaths | 5 (1.2%) | 1 (0.5%) | 4 (2.1%) | .124 |
P ≤ .05 defined as significant.
Abbreviations: ICU, intensive care unit; IQR, interquartile range.
aMann-Whitney U test performed to assess statistical significance.
Figure 2.Kaplan-Meier of time to hospitalization after SARS-CoV-2 test. Abbreviation: SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Univariate Predictors of Hospitalization for Coronavirus Disease 2019 (COVID-19)
| Characteristics | Total Study Population (n = 403) | Hospitalized (n = 53) | Not Hospitalized (n = 350) |
|
|---|---|---|---|---|
| Male | 210 (52.1%) | 30 (56.6%) | 180 (51.4%) | .482 |
| Disease severity at presentation [ | ||||
| Asymptomatic | 15 (3.7%) | 5 (9.4%) | 10 (2.9%) | .018 |
| Mild | 287 (71.2%) | 33 (62.3%) | 254 (72.6%) | .122 |
| Moderate | 75 (18.6%) | 13 (24.5%) | 62 (17.7%) | .235 |
| Severe | 4 (1.0%) | 2 (3.8%) | 2 (0.6%) | .028 |
| Unable to assess | 22 (5.4%) | 0 | 22 (6.3%) | .060 |
| Comorbid conditions by EUA indication | ||||
| BMI | ||||
| BMI– kg/m2 median (IQR) | 31.15 (26.68–36.53) | 32.31 (27.48–40.46) | 31.09 (26.63–36.33) | .194a |
| BMI ≥35 | 122 (30.3%) | 19 (35.8%) | 103 (29.4%) | .343 |
| Diabetes | 120 (29.8%) | 17 (32.1%) | 103 (29.4%) | .695 |
| CKD | 34 (8.4%) | 9 (17.0%) | 25 (7.1%) | .016 |
| ≥65 years old | 199 (49.4%) | 26 (49.1%) | 173 (49.4%) | .960 |
| ≥55 years old with hypertension | 191 (47.4%) | 34 (64.2%) | 157 (44.9%) | .009 |
| ≥55 years old with CVD | 79 (19.6%) | 16 (30.2%) | 63 (18.0%) | .037 |
| ≥55 years old with CLD | 44 (10.9%) | 11 (20.8%) | 33 (9.4%) | .014 |
| Immunosuppressed | 109 (27.0%) | 17 (32.1%) | 92 (26.3%) | .377 |
| Median CPSS | 2 (1–3) | 2 (2–3) | 2 (1–2) | <.001a |
P ≤ .05 defined as significant.
Abbreviations: BMI, body mass index; CKD, chronic kidney disease; CLD, chronic lung disease; CPSS, cumulative priority system sum; CVD, cardiovascular disease; EUA, emergency use authorization; IQR, interquartile range.
aMann-Whitney U test performed to assess statistical significance.
Multivariate Predictors of Hospitalization in Patients With Coronavirus Disease 2019 (COVID-19)
| B | SE | Wald | df |
| Exp(B) | 95% CI | |
|---|---|---|---|---|---|---|---|
| Male | 0.22 | 0.32 | 0.47 | 1 | .493 | 1.24 | .67–2.32 |
| Black race | 0.38 | 0.44 | 0.76 | 1 | .385 | 1.47 | .62–3.49 |
| Hispanic ethnicity | −0.32 | 0.47 | 0.46 | 1 | .497 | 0.73 | .29–1.82 |
| Control (no bamlanivimab) | 1.4 | 0.35 | 16.92 | 1 | <.001 | 4.19 | 2.12–8.30 |
| Age at presentation | 0.01 | 0.01 | 1.16 | 1 | .282 | 1.01 | .99–1.03 |
| TNC | 0.52 | 0.13 | 16.57 | 1 | <.001 | 1.68 | 1.31–2.16 |
P ≤ .05 defined as significant.
Abbreviations: CI, confidence interval; SE, standard error; TNC, total number comorbidities.