| Literature DB >> 35937784 |
Naif Khalaf Alharbi1,2, Jaffar A Al-Tawfiq3,4,5, Amal Alwehaibe1, Mohamed W Alenazi1, Abdulrahman Almasoud1, Abdullah Algaisi6, Fahad A Alhumaydhi7, Anwar M Hashem8,9, Mohammed Bosaeed1,2,10, Suliman A Alsagaby11.
Abstract
Purpose: This study was conducted to investigate antibody immune responses induced by BNT162b2 and AZD1222 human COVID-19 vaccines in Riyadh city, Saudi Arabia. Patients andEntities:
Keywords: AZD1222; BNT162b2; COVID-19; IgG; Immune responses; antibody; vaccines
Year: 2022 PMID: 35937784 PMCID: PMC9348632 DOI: 10.2147/IDR.S362848
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.177
Number of Samples Collected from Vaccinated Individuals at Different Time Points
| Time Point | Number of Samples |
|---|---|
| Baseline | 231 |
| Post-prime | 232 |
| Post-boost | 127 |
| 6 Months | 47 |
| 12 Months | 4 |
| Post-3rd dose | 25 |
| Convalescent | 119 |
| Total tested samples | 785 |
Demographic and Clinical Factors Influencing Vaccine-Induced Immune Responses
| Pre-Vaccine | Post-Prime | Post-Boost | 6 Months | ||
|---|---|---|---|---|---|
| Mean IgG Titer (SD) | Mean IgG Titer (SD) | Mean IgG Titer (SD) | Mean IgG Titer (SD) | ||
| Gender | Males | 2,090 (17,118) n=87 | 27,965 (55,529) n=49 | 138,280 (356,928) n=31 | 25,237 (33,681) n=18 |
| Female | 1,600 (10,807) n=83 | 13,909 (30,658) n=80 | 301,455 (517,115) n=43 | 20,246 (31,907) n=22 | |
| 0.8 | 0.06 | 0.13 | 0.6 | ||
| Age | <38.5Y | 2,024 (15,499) n=106 | 26,754 (51,442) n=61 | 303,806 (532,040) n=24 | 14,976 (16,559) n=9 |
| >38.5Y | 1,264 (10,942) n=80 | 9,847 (26,368) n=91 | 247,906 (493,307) n=53 | 24,673 (35,876) n=31 | |
| 0.7 | 0.01 | 0.7 | 0.4 | ||
| BMI | <30 | 1,325 (9,947) n=97 | 18,146 (39,092) n=87 | 315,340 (560,716) n=42 | 25,373 (35,086) n=21 |
| >30 | 7,319 (34,000) n=22 | 5,756 (18,413) n=18 | 75,331 (63,027) n=12 | 35,591 (41,638) n=7 | |
| 0.13 | 0.23 | 0.15 | 0.53 | ||
| Diabetes | No | 1,688 (13,568) n=191 | 14,829 (37,847) n=135 | 274,216 (523,720) n=69 | 20,837 (30,677) n=38 |
| Yes | 194 (529) n=16 | 13,141 (30,634) n=12 | 77,866 (82,617) n=4 | NA | |
| 0.76 | 0.9 | 0.46 | NA | ||
| Hypertension | No | 1,722 (10,620) n=198 | 15,524 (35,818) n=127 | 230,932 (373,789) n=64 | 23,845 (34,251) n=34 |
| Yes | 11 (46) n=20 | 4,710 (8949) n=23 | 382,148 (736,519) n=13 | 14,823 (18,904) n=6 | |
| 0.57 | 0.19 | 0.36 | 0.53 | ||
| Asthma | No | 1,168 (11,505) n=95 | 15,045 (37,920) n=135 | 284,100 (522,306) n=71 | 22,318 (33,475) n=37 |
| Yes | 6,993 (26,163) n=14 | 2,428 (2128) n=15 | 51,743 (25,788) n=6 | 24,635 (24,288) n=3 | |
| 0.1 | 0.2 | 0.28 | 0.9 | ||
Figure 1Antibody responses post-COVID-19 vaccines.
Figure 2Impact of pre-infection and interval duration on antibody responses to COVID-19 vaccines.