Patrizia Pasculli, Michele Antonacci, Maria Antonella Zingaropoli, Federica Dominelli, Federica Ciccone, Francesco Pandolfi, Yann Collins Fosso Ngangue, Giorgio Maria Masci, Roberta Campagna, Franco Iafrate, Valeria Panebianco, Carlo Catalano, Ombretta Turriziani, Gioacchino Galardo, Paolo Palange, Claudio Maria Mastroianni, Maria Rosa Ciardi
{"title":"SARS-CoV-2疫苗接种对长covid临床表型发展的影响","authors":"Patrizia Pasculli, Michele Antonacci, Maria Antonella Zingaropoli, Federica Dominelli, Federica Ciccone, Francesco Pandolfi, Yann Collins Fosso Ngangue, Giorgio Maria Masci, Roberta Campagna, Franco Iafrate, Valeria Panebianco, Carlo Catalano, Ombretta Turriziani, Gioacchino Galardo, Paolo Palange, Claudio Maria Mastroianni, Maria Rosa Ciardi","doi":"10.1017/S0950268825000093","DOIUrl":null,"url":null,"abstract":"<p><p>Although SARS-CoV-2 vaccination reduces hospitalization and mortality, its long-term impact on Long-COVID remains to be elucidated. The aim of the study was to evaluate the different development of Long-COVID clinical phenotypes according to the vaccination status of patients. Clinical and demographic characteristics were assessed for each patient, while Long-COVID symptoms were self-reported and later stratified into distinct clinical phenotypes. Vaccination was significantly associated with the avoidance of hospitalization, less invasive respiratory support, and less alterations of cardiopulmonary functions, as well as reduced lasting lung parenchymal damage. However, no association between vaccination status and the development of at least one Long-COVID symptom was found. Nevertheless, clinical phenotypes were differently associated with vaccination status, as neuropsychiatric were more frequent in unvaccinated patients and cardiorespiratory symptoms were reported mostly in vaccinated patients. Different progression of disease could be at play in the different development of specific Long-COVID clinical phenotypes, as shown by the different serological responses between unvaccinated and vaccinated patients. A higher anti-Spike (<i>S</i>) antibody titre was protective for vaccinated patients, while it was detrimental for unvaccinated patients. A better understanding of the mechanism underlying the development of Long-COVID symptoms might be reached by standardized methodologies and symptom classification.</p>","PeriodicalId":11721,"journal":{"name":"Epidemiology and Infection","volume":" ","pages":"e40"},"PeriodicalIF":2.5000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11869074/pdf/","citationCount":"0","resultStr":"{\"title\":\"SARS-CoV-2 vaccination influence in the development of long-COVID clinical phenotypes.\",\"authors\":\"Patrizia Pasculli, Michele Antonacci, Maria Antonella Zingaropoli, Federica Dominelli, Federica Ciccone, Francesco Pandolfi, Yann Collins Fosso Ngangue, Giorgio Maria Masci, Roberta Campagna, Franco Iafrate, Valeria Panebianco, Carlo Catalano, Ombretta Turriziani, Gioacchino Galardo, Paolo Palange, Claudio Maria Mastroianni, Maria Rosa Ciardi\",\"doi\":\"10.1017/S0950268825000093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Although SARS-CoV-2 vaccination reduces hospitalization and mortality, its long-term impact on Long-COVID remains to be elucidated. The aim of the study was to evaluate the different development of Long-COVID clinical phenotypes according to the vaccination status of patients. Clinical and demographic characteristics were assessed for each patient, while Long-COVID symptoms were self-reported and later stratified into distinct clinical phenotypes. Vaccination was significantly associated with the avoidance of hospitalization, less invasive respiratory support, and less alterations of cardiopulmonary functions, as well as reduced lasting lung parenchymal damage. However, no association between vaccination status and the development of at least one Long-COVID symptom was found. Nevertheless, clinical phenotypes were differently associated with vaccination status, as neuropsychiatric were more frequent in unvaccinated patients and cardiorespiratory symptoms were reported mostly in vaccinated patients. Different progression of disease could be at play in the different development of specific Long-COVID clinical phenotypes, as shown by the different serological responses between unvaccinated and vaccinated patients. A higher anti-Spike (<i>S</i>) antibody titre was protective for vaccinated patients, while it was detrimental for unvaccinated patients. A better understanding of the mechanism underlying the development of Long-COVID symptoms might be reached by standardized methodologies and symptom classification.</p>\",\"PeriodicalId\":11721,\"journal\":{\"name\":\"Epidemiology and Infection\",\"volume\":\" \",\"pages\":\"e40\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11869074/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiology and Infection\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/S0950268825000093\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology and Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/S0950268825000093","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
SARS-CoV-2 vaccination influence in the development of long-COVID clinical phenotypes.
Although SARS-CoV-2 vaccination reduces hospitalization and mortality, its long-term impact on Long-COVID remains to be elucidated. The aim of the study was to evaluate the different development of Long-COVID clinical phenotypes according to the vaccination status of patients. Clinical and demographic characteristics were assessed for each patient, while Long-COVID symptoms were self-reported and later stratified into distinct clinical phenotypes. Vaccination was significantly associated with the avoidance of hospitalization, less invasive respiratory support, and less alterations of cardiopulmonary functions, as well as reduced lasting lung parenchymal damage. However, no association between vaccination status and the development of at least one Long-COVID symptom was found. Nevertheless, clinical phenotypes were differently associated with vaccination status, as neuropsychiatric were more frequent in unvaccinated patients and cardiorespiratory symptoms were reported mostly in vaccinated patients. Different progression of disease could be at play in the different development of specific Long-COVID clinical phenotypes, as shown by the different serological responses between unvaccinated and vaccinated patients. A higher anti-Spike (S) antibody titre was protective for vaccinated patients, while it was detrimental for unvaccinated patients. A better understanding of the mechanism underlying the development of Long-COVID symptoms might be reached by standardized methodologies and symptom classification.
期刊介绍:
Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.