A Critical Analysis of All-Cause Deaths during COVID-19 Vaccination in an Italian Province

被引:3
作者
Alessandria, Marco [1 ]
Malatesta, Giovanni M. [2 ]
Berrino, Franco [3 ]
Donzelli, Alberto [4 ]
机构
[1] Univ Turin, Dept Life Sci & Syst Biol, I-10123 Turin, Italy
[2] Fdn Allineare Sanita & Salute, Sci Comm, I-51100 Milan, Italy
[3] Fdn IRCCS Ist Nazl Tumori, Dept Predict & Prevent Med, I-20133 Milan, Italy
[4] Fdn Allineare Sanita & Salute, Independent Med Sci Commiss, I-20131 Milan, Italy
关键词
pandemic vaccine effectiveness; immortal time bias; healthy-vaccinee bias; total mortality; ADHERENCE; MORTALITY; THERAPY; RISK; BIAS;
D O I
10.3390/microorganisms12071343
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Immortal time bias (ITB) is common in cohort studies and distorts the association estimates between the treated and untreated. We used data from an Italian study on COVID-19 vaccine effectiveness, with a large cohort, long follow-up, and adjustment for confounding factors, affected by ITB, with the aim to verify the real impact of the vaccination campaign by comparing the risk of all-cause death between the vaccinated population and the unvaccinated population. We aligned all subjects on a single index date and considered the "all-cause deaths" outcome to compare the survival distributions of the unvaccinated group versus various vaccination statuses. The all-cause-death hazard ratios in univariate analysis for vaccinated people with 1, 2, and 3/4 doses versus unvaccinated people were 0.88, 1.23, and 1.21, respectively. The multivariate values were 2.40, 1.98, and 0.99. Possible explanations of this trend of the hazard ratios as vaccinations increase could be a harvesting effect; a calendar-time bias, accounting for seasonality and pandemic waves; a case-counting window bias; a healthy-vaccinee bias; or some combination of these factors. With 2 and even with 3/4 doses, the calculated Restricted Mean Survival Time and Restricted Mean Time Lost have shown a small but significant downside for the vaccinated populations.
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页数:15
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共 38 条
  • [1] [Anonymous], about us
  • [2] [Anonymous], about us
  • [3] COVID-19 vaccination and all-cause and non-COVID-19 mortality. A revaluation of a study carried out in an Italian Province
    Berrino, Franco
    Donzelli, Alberto
    Bellavite, Paolo
    Malatesta, Giovanni
    [J]. EPIDEMIOLOGIA & PREVENZIONE, 2023, 47 (06): : 374 - 378
  • [4] Adherence to lipid-lowering therapy and the use of preventive health services: An investigation of the healthy user effect
    Brookhart, M. Alan
    Patrick, Amanda R.
    Dormuth, Colin
    Avorn, Jerry
    Shrank, William
    Cadarette, Suzanne M.
    Solomon, Daniel H.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2007, 166 (03) : 348 - 354
  • [5] CANNER PL, 1980, NEW ENGL J MED, V303, P1038
  • [6] Statin Adherence and Risk of Accidents A Cautionary Tale
    Dormuth, Colin R.
    Patrick, Amanda R.
    Shrank, William H.
    Wright, James M.
    Glynn, Robert J.
    Sutherland, Jenny
    Brookhart, M. Alan
    [J]. CIRCULATION, 2009, 119 (15) : 2051 - 2057
  • [7] CONFOUNDING IN STUDIES OF ADVERSE REACTIONS TO VACCINES
    FINE, PEM
    CHEN, RT
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 1992, 136 (02) : 121 - 135
  • [8] COVID-19 Vaccination Did Not Increase the Risk of Potentially Related Serious Adverse Events: 18-Month Cohort Study in an Italian Province
    Flacco, Maria Elena
    Acuti Martellucci, Cecilia
    Soldato, Graziella
    Di Martino, Giuseppe
    Carota, Roberto
    De Benedictis, Marco
    Di Marco, Graziano
    Parruti, Giustino
    Di Luzio, Rossano
    Caponetti, Antonio
    Manzoli, Lamberto
    [J]. VACCINES, 2023, 11 (01)
  • [9] Sources of bias in observational studies of covid-19 vaccine effectiveness
    Fung, Kaiser
    Jones, Mark
    Doshi, Peter
    [J]. JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2024, 30 (01) : 30 - 36
  • [10] Does the healthy vaccinee bias rule them all? Association of COVID-19 vaccination status and all-cause mortality from an analysis of data from 2.2 million individual health records
    Furst, Tomas
    Bazalova, Angelika
    Frycak, Tadeas
    Janosek, Jaroslav
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2024, 142