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Liu D, Zhang Y, Liang R, Lei J, Huang K, Hu Y, Fang L, Feng L, Shan G, Wang M, Ding Y, Gao Q, Yang T. Development and validation of a COVID-19 vaccination prediction model based on self-reporting results in Chinese older adults from September 2022 to November 2022: A nationwide cross-sectional study. Hum Vaccin Immunother 2024; 20:2382502. [PMID: 39081126 PMCID: PMC11296532 DOI: 10.1080/21645515.2024.2382502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 07/08/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024] Open
Abstract
It was common to see that older adults were reluctant to be vaccinated for coronavirus disease 2019 (COVID-19) in China. There is a lack of practical prediction models to guide COVID-19 vaccination program. A nationwide, self-reported, cross-sectional survey was conducted from September 2022 to November 2022, including people aged 60 years or older. Stratified random sampling was used to divide the dataset into derivation, validation, and test datasets at a ratio of 6:2:2. Least absolute shrinkage and selection operator and multivariable logistic regression were used for variable screening and model construction. Discrimination and calibration were assessed primarily by area under the receiver operating characteristic curve (AUC) and calibration curve. A total of 35057 samples (53.65% males and mean age of 69.64 ± 7.24 years) were finally selected, which constitutes 93.73% of the valid samples. From 33 potential predictors, 19 variables were screened and included in the multivariable logistic regression model. The mean AUC in the validation dataset was 0.802, with sensitivity, specificity, and accuracy of 0.732, 0.718 and 0.729 respectively, which were similar to the parameters in the test dataset of 0.755, 0.715 and 0.720, respectively, and the mean AUC in the test dataset was 0.815. There were no significant differences between the model predicted values and the actual observed values for calibration in these groups. The prediction model based on self-reported characteristics of older adults was developed that could be useful for predicting the willingness for COVID-19 vaccines, as well as providing recommendations in improving vaccine acceptance.
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Affiliation(s)
- Dong Liu
- Capital Medical University, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Yushi Zhang
- Peking Union Medical College/Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Rui Liang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- Beijing University of Chinese Medicine China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Jieping Lei
- Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Ke Huang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Yaoda Hu
- Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Liwen Fang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangliang Shan
- Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Min Wang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuanyuan Ding
- The secretariat, Chinese Association of Geriatric Research, Beijing, China
| | - Qian Gao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ting Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
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Suresh S, Zafack J, Pham-Huy A, Derfalvi B, Sadarangani M, McConnell A, Tapiéro B, Halperin SA, De Serres G, M Pernica J, Top KA. Physician vaccination practices in mild to moderate inborn errors of immunity and retrospective review of vaccine completeness in IEI: results from the Canadian Immunization Research Network. ALLERGY, ASTHMA, AND CLINICAL IMMUNOLOGY : OFFICIAL JOURNAL OF THE CANADIAN SOCIETY OF ALLERGY AND CLINICAL IMMUNOLOGY 2022; 18:32. [PMID: 35397595 PMCID: PMC8994318 DOI: 10.1186/s13223-022-00667-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/08/2022] [Indexed: 11/26/2022]
Abstract
Background and objectives Safety and effectiveness concerns may preclude physicians from recommending vaccination in mild/moderate inborn errors of immunity (IEI). This study describes attitudes and practices regarding vaccination among physicians who care for patients with mild/moderate B cell or mild/moderate combined immunodeficiencies (CID) and vaccination completeness among patients diagnosed with IEIs. Methods Canadian physicians caring for children with IEI were surveyed about attitudes and practices regarding vaccination in mild/moderate IEI. Following informed consent, immunization records of pediatric patients with IEI evaluated before 7 years of age were reviewed. Vaccine completeness was defined at age 2 years as 4 doses of diphtheria-tetanus-pertussis (DTaP), 3 doses pneumococcal conjugate (PCV), and 1 dose measles-mumps-rubella (MMR) vaccines. At 7 years 5 doses of DTP and 2 doses MMR were required. Results Forty-five physicians from 8 provinces completed the survey. Most recommended inactivated vaccines for B cell deficiency: (84% (38/45) and CID (73% (33/45). Fewer recommended live attenuated vaccines (B cell: 53% (24/45), CID 31% (14/45)). Of 96 patients with IEI recruited across 7 centers, vaccination completeness at age 2 was 25/43 (58%) for predominantly antibody, 3/13 (23%) for CID, 7/35 (20%) for CID with syndromic features, and 4/4 (100%) for innate/phagocyte defects. Completeness at age 7 was 15%, 17%, 5%, and 33%, respectively. Conclusion Most physicians surveyed recommended inactivated vaccines in children with mild to moderate IEI. Vaccine completeness for all IEI was low, particularly at age 7. Further studies should address the reasons for low vaccine uptake among children with IEI and whether those with mild-moderate IEI, where vaccination is recommended, eventually receive all indicated vaccines. Supplementary Information The online version contains supplementary material available at 10.1186/s13223-022-00667-1.
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Affiliation(s)
- Sneha Suresh
- Division of Immunology, Department of Pediatrics, Edmonton Clinic Health Academy, 3-529, 11405 87 Ave, Edmonton, AB, T6G 1C9, Canada. .,Division of Infectious Disease and IHOPE, Department of Paediatrics, Stollery Children's Hospital, University of Alberta, Edmonton, Canada.
| | | | - Anne Pham-Huy
- Division of Infectious Diseases, Immunology and Allergy, Department of Paediatrics, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, Canada
| | - Beata Derfalvi
- Division of Immunology, Departments of Paediatrics and Microbiology and Immunology, IWK Health Centre, Dalhousie University, Halifax, Canada
| | - Manish Sadarangani
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Athena McConnell
- Division of Infectious Diseases, Department of Pediatrics, Jim Pattison Children's Hospital, University of Saskatchewan, Saskatoon, Canada
| | - Bruce Tapiéro
- Division of Infectious Diseases, Department of Pediatrics, CHU Sainte Justine, Université de Montreal, Montreal, Canada
| | - Scott A Halperin
- Departments of Paediatrics and Microbiology and Immunology, Canadian Center for Vaccinology IWK Health Centre, Dalhousie University, Halifax, Canada
| | - Gaston De Serres
- Department of Social and Preventive Medicine, Institut Nationale de Santé Publique du Québec, Université Laval, Québec, Canada
| | - Jeffrey M Pernica
- Division of Infectious Diseases, Department of Pediatrics, McMaster University, Hamilton, Canada
| | - Karina A Top
- Departments of Pediatrics and Community Health and Epidemiology, Canadian Center for Vaccinology, IWK Health Centre, Dalhousie University, Halifax, Canada.
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