| Literature DB >> 34903372 |
Mark A Katz1, Efrat Bron Harlev2, Bibiana Chazan3, Michal Chowers4, David Greenberg5, Alon Peretz6, Sagi Tshori7, Joseph Levy8, Mili Yacobi8, Avital Hirsch8, Doron Amichay9, Ronit Weinberger10, Anat Ben Dor10, Elena Keren Taraday10, Dana Reznik2, Chen Barazani Chayat11, Dana Sagas12, Haim Ben Zvi13, Rita Berdinstein14, Gloria Rashid15, Yonat Shemer Avni16, Michal Mandelboim17, Neta Zuckerman18, Nir Rainy19, Amichay Akriv8, Noa Dagan20, Eldad Kepten8, Noam Barda20, Ran D Balicer21.
Abstract
BACKGROUND: Methodologically rigorous studies on Covid-19 vaccine effectiveness (VE) in preventing SARS-CoV-2 infection are critically needed to inform national and global policy on Covid-19 vaccine use. In Israel, healthcare personnel (HCP) were initially prioritized for Covid-19 vaccination, creating an ideal setting to evaluate early real-world VE in a closely monitored population.Entities:
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Year: 2021 PMID: 34903372 PMCID: PMC8662353 DOI: 10.1016/j.vaccine.2021.11.092
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Fig. 1Study population and persons excluded to establish cohort for primary analysis, CoVEHPI Notes: *If participants were already vaccinated before or at enrollment, and their enrollment serology was tested for anti-spike protein antibodies but not anti-nucleocapsid antibodies, their serology test was considered irrelevant (See Supplementary Methods 2) ** 9 PCR infections occurred among participants who were not eligible for the primary analysis due to non-negative serology or because the infections occurred among vaccinated participants before 7 days after they received their second vaccine dose.
Fig. 2Week of first and second vaccination for vaccinated participants, week of enrollment for unvaccinated participants, RT-PCR-confirmed cases in study participants, and new weekly SARS-CoV-2 cases in Israel, December 2020-May 2021.
Demographic and clinical characteristics of participants included in primary analysis, Covid-19 vaccine effectiveness in healthcare personnel in six Clalit Health Services hospitals in Israel (CoVEHPI), December 2020-May 2021.
| Characteristic | All Participants no. (%) | Vaccinated no. (%) | Not Vaccinated no. (%) | P value |
|---|---|---|---|---|
| Total | 1250 | 998 (79.8%) | 252 (20.2%) | |
| Sex | ||||
| Female | 999 (79.9%) | 771 (77.3%) | 228 (90.5%) | <0.0001 |
| Male | 251 (20.1%) | 227 (22.7%) | 24 (9.5%) | |
| Age, Median (IQR) | 45 (36–55) | 47 (38–57) | 37 (31–47) | |
| Age group | ||||
| 18–34 | 266 (21.3%) | 167 (16.7%) | 99 (39.3%) | <0.0001 |
| 35–49 | 497 (39.8%) | 396 (39.7%) | 101 (40.1%) | |
| 50–64 | 420 (33.6%) | 372 (37.3%) | 48 (19%) | |
| 65+ | 67 (5.4%) | 63 (6.3%) | 4 (1.6%) | |
| Population sector | ||||
| Arab | 86 (6.9%) | 57 (5.7%) | 29 (11.5%) | 0.0019 |
| Jewish | 1164 (93.1%) | 941 (94.3%) | 223 (88.5%) | |
| Socioeconomic status | ||||
| Low | 137 (11%) | 94 (9.4%) | 43 (17.1%) | <0.0001 |
| Middle | 448 (35.8%) | 337 (33.8%) | 111 (44%) | |
| High | 665 (53.2%) | 567 (56.8%) | 98 (38.9%) | |
| Hospital | ||||
| Ha’emek | 160 (12.8%) | 148 (14.8%) | 12 (4.8%) | <0.0001 |
| Kaplan | 133 (10.6%) | 120 (12%) | 13 (5.2%) | |
| Meir | 218 (17.4%) | 190 (19%) | 28 (11.1%) | |
| Rabin | 253 (20.2%) | 193 (19.3%) | 60 (23.8%) | |
| Schneider | 135 (10.8%) | 99 (9.9%) | 36 (14.3%) | |
| Soroka | 351 (28.1%) | 248 (24.8%) | 103 (40.9%) | |
| Occupation | ||||
| Physician | 234 (18.7%) | 219 (21.9%) | 15 (6%) | <0.0001 |
| Nurse | 549 (43.9%) | 420 (42.1%) | 129 (51.2%) | |
| Administration and support staff | 467 (37.4%) | 359 (36%) | 108 (42.9%) | |
| Frequency of contact with suspected or confirmed Covid-19 patients | ||||
| Always | 63 (5%) | 49 (4.9%) | 14 (5.6%) | 0.0735 |
| Often | 124 (9.9%) | 98 (9.8%) | 26 (10.3%) | |
| Sometimes | 232 (18.6%) | 196 (19.6%) | 36 (14.3%) | |
| Seldom | 328 (26.2%) | 259 (26%) | 69 (27.4%) | |
| Never | 488 (39%) | 388 (38.9%) | 100 (39.7%) | |
| Unknown | 15 (1.2%) | 8 (0.8%) | 7 (2.8%) | |
| Clinical worker with direct patient contact | ||||
| Yes | 725 (58%) | 580 (58.1%) | 145 (57.5%) | 0.3360 |
| No | 492 (39.4%) | 395 (39.6%) | 97 (38.5%) | |
| Unknown | 33 (2.6%) | 23 (2.3%) | 10 (4%) | |
| No. of risk factors according to CDC criteria | ||||
| 0 | 445 (35.6%) | 347 (34.8%) | 98 (38.9%) | 0.0151 |
| 1 | 473 (37.8%) | 374 (37.5%) | 99 (39.3%) | |
| 2 | 212 (17%) | 167 (16.7%) | 45 (17.9%) | |
| 3 | 76 (6.1%) | 68 (6.8%) | 8 (3.2%) | |
| 4+ | 44 (3.5%) | 42 (4.2%) | 2 (0.8%) | |
| No. of influenza vaccinations during previous 5 years | ||||
| 0 | 226 (18.1%) | 110 (11%) | 116 (46%) | <0.0001 |
| 1–2 | 453 (36.2%) | 364 (36.5%) | 89 (35.3%) | |
| 3–4 | 270 (21.6%) | 242 (24.2%) | 28 (11.1%) | |
| 5+ | 301 (24.1%) | 282 (28.3%) | 19 (7.5%) | |
| CDC “certain” risk criteria | ||||
| 65+ years | 67 (5.4%) | 63 (6.3%) | 4 (1.6%) | 0.0048 |
| Cancer | 34 (2.7%) | 29 (2.9%) | 5 (2%) | 0.5572 |
| Chronic Kidney Disease | 59 (4.7%) | 50 (5%) | 9 (3.6%) | 0.4260 |
| Chronic Obstructive | 6 (0.5%) | 6 (0.6%) | 0 (0%) | 0.4692 |
| Pulmonary Disease | ||||
| Heart Disease | 30 (2.4%) | 28 (2.8%) | 2 (0.8%) | 0.1022 |
| Solid-Organ Transplantation | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Obesity: BMI, 30– 40 kg/m2 | 197 (15.8%) | 161 (16.1%) | 36 (14.3%) | 0.5339 |
| Severe obesity: BMI greater than 40 kg/m2 | 15 (1.2%) | 9 (0.9%) | 6 (2.4%) | 0.1089 |
| Pregnancy | 26 (2.1%) | 2 (0.2%) | 24 (9.5%) | <0.0001 |
| Sickle Cell Disease | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Smoking | 108 (8.6%) | 85 (8.5%) | 23 (9.1%) | 0.8552 |
| Type 2 Diabetes Mellitus | 64 (5.1%) | 58 (5.8%) | 6 (2.4%) | 0.0406 |
| CDC “possible” risk criteria | ||||
| Asthma | 77 (6.2%) | 63 (6.3%) | 14 (5.6%) | 0.7642 |
| Cerebrovascular Disease | 18 (1.4%) | 18 (1.8%) | 0 (0%) | 0.0641 |
| Other Respiratory Disease | 1 (0.1%) | 1 (0.1%) | 0 (0%) | 0.9999 |
| Hypertension | 111 (8.9%) | 105 (10.5%) | 6 (2.4%) | 0.0001 |
| Immunosuppression | 37 (3%) | 34 (3.4%) | 3 (1.2%) | 0.0996 |
| Neurologic Disease | 51 (4.1%) | 43 (4.3%) | 8 (3.2%) | 0.5255 |
| Liver Disease | 25 (2%) | 20 (2%) | 5 (2%) | 0.9999 |
| Overweight: BMI, 25–30 kg/m2 | 380 (30.4%) | 313 (31.4%) | 67 (26.6%) | 0.1627 |
| Thalassemia | 10 (0.8%) | 9 (0.9%) | 1 (0.4%) | 0.6830 |
| Type 1 Diabetes mellitus | 5 (0.4%) | 3 (0.3%) | 2 (0.8%) | 0.5826 |
Abbreviations: IQR, interquartile range; CDC, Centers for Disease Control and Prevention; BMI, body mass index; kg, kilograms; m2, meters squared.
Covid-19 vaccine effectiveness for primary and secondary analyses, with calendar time as the model time-scale.*
| Analysis | Vaccinated | Unvaccinated | VE | |||||
|---|---|---|---|---|---|---|---|---|
| Person-days | Positive cases | Incidence rate per 10,000 person-days | Person-days | Positive cases | Incidence rate per 10,000 person-days | Unadjusted | Adjusted | |
| Two-dose VE against any infection | 68,574 | 4 | 0.58 | 10,027 | 9 | 8.98 | 95.4% (84.8%-98.6%) | 94.5% (82.6%-98.2%) |
| Two-dose VE against symptomatic infection | 68,605 | 2 | 0.29 | 10,027 | 9 | 8.98 | 97.4% (88%-99.4%) | 97% (72%-99.7%) |
| Two-dose VE against any infection | 61,620 | 4 | 0.65 | 10,027 | 9 | 8.98 | 95.4% (84.8%-98.6%) | 94.5% (82.5%-98.2%) |
| Two-dose VE against any infection including participants regardless of how many weekly specimens they provided (Extended Cohort 1)** | 67,230 | 4 | 0.59 | 9229 | 9 | 9.75 | 95.6% (85.6%-98.7%) | 94.8% (83.4%-98.4%) |
| Two-dose VE against any infection, excluding only participants who were seropositive at enrollment and/or PCR-positive before or at enrollment (Extended Cohort 2) | 75,388 | 6 | 0.80 | 10,888 | 10 | 9.18 | 94% (83.3%-97.8%) | 92.3% (80.5%-96.9%) |
Notes: *All VE analyses were performed for two-dose vaccination with follow-up beginning 7 days after second vaccine unless specified otherwise.
**Extended Cohort 1 included participants who had a negative enrollment serology and were not previously infected by PCR, regardless of how many weekly specimens they provided during the follow-up period.
Abbreviations VE, vaccine effectiveness HR, hazards ratio PCR, polymerase chain reaction