| Literature DB >> 34736776 |
Arianna Pani1, Valeria Cento2, Chiara Vismara3, Daniela Campisi3, Federica Di Ruscio4, Alessandra Romandini5, Michele Senatore6, Paolo Andrea Schenardi5, Oscar Matteo Gagliardi6, Simona Giroldi7, Laura Zoppini7, Mauro Moreno7, Matteo Corradin7, Oscar Massimiliano Epis8, Nicola Ughi8, Irene Cuppari9, Roberto Crocchiolo9, Marco Merli10, Marco Bosio7, Silvano Rossini9, Massimo Puoti10, Francesco Scaglione2.
Abstract
OBJECTIVE: To evaluate the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-spike (S) IgG antibody production after vaccination with BNT162b2 and the protection from symptomatic breakthrough infections in health care workers.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34736776 PMCID: PMC8403667 DOI: 10.1016/j.mayocp.2021.08.013
Source DB: PubMed Journal: Mayo Clin Proc ISSN: 0025-6196 Impact factor: 7.616
Figure 1Flowchart for staff recruitment and enrollment. COVID-19, coronavirus disease 2019; RT-PCR, real-time reverse transcription–polymerase chain reaction.
Demographic and Baseline Clinical Characteristics and Job Titles of Staff Who Participated in Serologic Screening After Completing BNT162b2 COVID-19 Vaccinationa,b
| Study population, all | SARS-CoV-2 anti-nucleocapsid serostatus at enrollment | |||
|---|---|---|---|---|
| Anti-N total Ig negative | Anti-N total Ig positive | |||
| Overall | 2569 | 2406 | 163 | |
| Sex | ||||
| Female | 1789 (69.6) | 1680 (69.8) | 109 (66.9) | .427 |
| Male | 780 (30.4) | 726 (30.2) | 54 (33.1) | |
| Age (y) | 48 (36-56) | 48 (36-56) | 47 (36-56) | .547 |
| Age group | ||||
| 19-30 years | 301 (11.7) | 277 (11.5) | 24 (14.7) | .444 |
| 31-55 years | 1481 (57.6) | 1392 (57.9) | 89 (54.6) | |
| >55 years | 787 (30.6) | 737 (30.6) | 50 (30.7) | |
| Residency in Milan | 1774 (74.9) | 1653 (74.6) | 121 (79.1) | .139 |
| Job title | ||||
| Nurse staff | 832 (32.4) | 769 (32.0) | 63 (38.7) | |
| Medical staff | 608 (23.7) | 569 (23.6) | 39 (23.9) | |
| Other sanitary staff | 467 (18.2) | 437 (18.2) | 30 (18.4) | |
| Administrative staff | 353 (13.7) | 337 (14) | 16 (9.8) | |
| Laboratory staff | 167 (6.5) | 154 (6.4) | 13 (8.0) | |
| Non-sanitary staff | 87 (3.4) | 85 (3.5) | 2 (1.2) | |
| Pharmacy and physics staff | 55 (2.1) | 55 (2.3) | 0 (0.0) | |
| Participated in survey | 1886 | 1771 | 115 | |
| Body mass index (kg/m2) | 23 (21-27) | 23 (21-27) | 23 (21-26) | .895 |
| Body mass index range | ||||
| ≤18.49 kg/m2 | 83 (4.6) | 80 (4.7) | 3 (2.7) | .541 |
| 18.5-24.99 kg/m2 | 1095 (60.5) | 1024 (60.4) | 71 (62.8) | |
| 25-29.99 kg/m2 | 436 (24.1) | 406 (23.9) | 30 (26.6) | |
| 30-34.99 kg/m2 | 144 (8.0) | 136 (8.0) | 8 (7.1) | |
| ≥35 kg/m2 | 51 (2.8) | 50 (3.0) | 1 (0.9) | |
| Female population | ||||
| Currently breastfeeding | 19 (1.5) | 18 (1.6) | 1 (1.4) | .999 |
| Combined oral contraceptive use | 55 (4.3) | 50 (4.1) | 5 (6.9) | .23 |
| Selected drug use | ||||
| Oral corticosteroids | 11 (0.6) | 11 (0.6) | 0 (0.0) | .999 |
| ACEi | 117 (6.2) | 113 (6.4) | 4 (3.5) | .217 |
| Comorbidities | ||||
| At least 1 reported | 428 (22.7) | 402 (22.7) | 26 (22.6) | .982 |
| Cardiovascular disease | 204 (10.8) | 190 (10.7) | 14 (12.2) | .627 |
| Hypertension | 155 (8.2) | 145 (8.2) | 10 (8.7) | .845 |
| Endocrine disease (thyroid or ovary) | 103 (5.5) | 98 (5.5) | 5 (4.3) | .588 |
| Autoimmune disease | 68 (3.6) | 66 (3.7) | 2 (1.7) | .268 |
| Respiratory disease | 60 (3.2) | 54 (3.0) | 6 (5.2) | .199 |
| Diabetes | 30 (1.6) | 29 (1.6) | 1 (0.9) | .999 |
| Hypercholesterolemia | 30 (1.6) | 29 (1.6) | 1 (0.9) | .999 |
| Allergies | 30 (1.6) | 29 (1.6) | 1 (0.9) | .999 |
| Immunosuppression | 27 (1.4) | 27 (1.5) | 0 (0.0) | .406 |
| Arrhythmia | 23 (1.2) | 20 (1.1) | 3 (2.6) | .161 |
| Multiple sclerosis | 6 (0.3) | 5 (0.3) | 1 (0.9) | .314 |
| Coinfection with HIV | 6 (0.3) | 6 (0.3) | 0 (0.0) | .999 |
| Coinfection with hepatitis B virus | 4 (0.2) | 4 (0.2) | 0 (0.0) | .999 |
ACEi, angiotensin-converting enzyme inhibitor; HIV, human immunodeficiency virus; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Categorical variables are presented as number (percentage). Continuous variables are presented as median (interquartile range). Fisher exact test and χ2 test were used to compare all variables except body mass index, compared by Mann-Whitney test.
Data on comorbidities are for 1886 participants.
Clinical Characteristics of Staff in Whom BNT162b2 Vaccination Failed to Elicit an Anti-Spike Antibody Response
| Nonresponder 1 | Nonresponder 2 | Nonresponder 3 | Nonresponder 4 | |
|---|---|---|---|---|
| Sex | Female | Female | Male | Female |
| Age (y) | 56 | 37 | 58 | 37 |
| Underlying chronic disease or clinical condition | Renal transplant | Myasthenia gravis | Cardiac transplant | Systemic lupus erythematosus |
| Immunosuppressive therapy, current | Cyclosporine 150 mg daily, mycophenolate mofetil 1440 mg daily | Prednisone 20 mg daily, mycophenolate mofetil 1500 mg daily, intravenous immunoglobulins 60 g monthly | Cyclosporine, mycophenolate mofetil | Prednisone 12.5 mg daily, mycophenolic acid 1440 mg daily, colchicine 0.5 mg daily |
| Leukocyte count (109 cells/L) at screening | 9.51 | 6.37 | 9.85 | |
| Lymphocyte count (109 cells/L) at screening | 2.81 | 1.9 | 1.16 |
Additional information regarding drug dose, leukocyte count, and lymphocyte count were not available.
Figure 2Distribution of anti-trimeric spike glycoprotein IgG titers at day 14 after second BNT162b2 vaccine dose. Negative values were those below 33.8 BAU/mL, per the manufacturer’s instructions. The distribution of anti-spike IgG titers is reported separately according to anti-nucleocapsid (anti-N) serostatus (A) and for sex and age in the population of anti-N–negative staff (B). BAU, binding antibody unit; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Figure 3Daily rate of laboratory-confirmed coronavirus disease 2019 (COVID-19) cases at ASST GOM Niguarda (top), positive real-time reverse transcription–polymerase chain reaction (RT-PCR) results among staff (middle), and weekly incidence of new laboratory-confirmed COVID-19 cases among staff (bottom). The mean mobile daily rate of first-time positive real-time PCR results on nasopharyngeal swabs (red line) was calculated on the total number of swabs processed at ASST GOM Niguarda (dark gray bars) from February 27, 2020, to March 15, 2021. The number of first-time positive RT-PCR results (red boxes) and the median and interquartile range weekly incidence of new laboratory-confirmed COVID-19 cases are reported for staff who participated to the BNT162b2 COVID-19 vaccination program (N=5023). Gray shading indicates the COVID-19 pandemic waves in Lombardy, Italy. Light blue shading shows the duration of the COVID-19 vaccination program. Dark blue shading indicates sampling period for screening. SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Self-Reported Adverse Effects Associated With First and Second Doses of BNT162b2 Vaccine
| First dose | Second dose | |
|---|---|---|
| Overall | 1924 | 1881 |
| Participants who had at least 1 adverse effect | 549 (28.80) | 956 (54.60) |
| Serious adverse effect | 2 (0.12) | 4 (0.48) |
| Participants who needed to take medication for vaccine adverse effect | 153 (8.22) | 563 (53.72) |
| Pain in injection site | 1107 (57.54) | 1232 (69.84) |
| Fatigue | 371 (19.28) | 772 (43.94) |
| Malaise | 204 (10.60) | 523 (30,09) |
| Headache | 281 (14.60) | 585 (33.58) |
| Joint pain | 207 (10.76) | 535 (30.55) |
| Muscle pain | 381 (19.80) | 706 (40.30) |
| Chills and tremors | 151 (7.85) | 439 (25.22) |
| Fever | 33 (1.72) | 271 (15.59) |
| Diarrhea | 40 (2.08) | 107 (6.69) |
| Nausea | 65 (3.38) | 183 (10.53) |
| Vomiting | 7 (0.36) | 29 (1.67) |
| Abdominal pain | 39 (2.03) | 116 (6.69) |
| Lymph node swelling | 61 (3.17) | 190 (10.94) |
| Insomnia | 87 (4.52) | 184 (10.55) |
Values are reported as number (percentage).
| Will individual participant data be available (including data dictionaries)? | Yes |
|---|---|
| What data in particular will be shared? | Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices) |
| What other documents will be available? | Study protocol (in Italian) |
| When will data be available (start and end dates) | Immediately following publication; no end date |
| With whom? | Investigators whose proposed use of the data has been approved by an independent review committee (“learned intermediary”) identified for this purpose and who provide a methodologically sound proposal |
| For what types of analyses? | To achieve aims in the approved proposal |
| By what mechanism will data be made available? | Proposals should be directed to the corresponding author; to gain access, data requestors will need to sign a data access agreement |