Vaccination Coverages Among Splenectomized Patients: A Retrospective Study from an Italian Southern Province

Vaccines, Journal Year: 2025, Volume and Issue: 13(2), P. 138 - 138

Published: Jan. 28, 2025

Background: Splenectomized patients have a higher risk compared to the general population of developing post-splenectomy infection, particularly by capsulated bacteria. need be vaccinated against pneumococcal diseases, meningococcal disease, and heamophilus influenzae (Hib) in order avoid invasive bacterial diseases. This study evaluated vaccination coverages among splenectomized Southern Italian province. Methods: A retrospective was conducted evaluating all from Pescara province 2015 2023. Vaccination were calculated before after splenectomy for following vaccines: Hib, COVID-19. Results: total 97 considered during period. low surgery, but they increased splenectomy. Higher found diseases (77.3%), meninigococcal disease (58.8%), COVID-19 (91.8%). Conclusions: are not satisfying. It is imperative implement educational measures physicians increase coverages.

Language: Английский

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

Microorganisms, Journal Year: 2024, Volume and Issue: 12(7), P. 1343 - 1343

Published: June 30, 2024

Immortal time bias (ITB) is common in cohort studies and distorts the association estimates between treated untreated. We used data from an Italian study on COVID-19 vaccine effectiveness, with a large cohort, long follow-up, adjustment for confounding factors, affected by ITB, aim to verify real impact of vaccination campaign comparing risk all-cause death vaccinated population unvaccinated population. aligned all subjects single index date considered “all-cause deaths” outcome compare survival distributions group versus various statuses. The all-cause-death hazard ratios univariate analysis people 1, 2, 3/4 doses were 0.88, 1.23, 1.21, respectively. multivariate values 2.40, 1.98, 0.99. Possible explanations this trend as vaccinations increase could be harvesting effect; calendar-time bias, accounting seasonality pandemic waves; case-counting window bias; healthy-vaccinee or some combination these factors. With 2 even doses, calculated Restricted Mean Survival Time Lost have shown small but significant downside populations.

Language: Английский

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All-cause mortality according to COVID-19 vaccination status: An analysis of the UK office for National statistics public data

F1000Research, Journal Year: 2025, Volume and Issue: 13, P. 886 - 886

Published: Feb. 20, 2025

Background The mass vaccination campaign against COVID-19 has been commonly considered the best response to global pandemic crisis. However, assessment of its real-world effect can be performed by analysis all-cause mortality status. UK is perhaps only country which made publicly available data Methods Data from April 2021 May 2023 published Office for National Statistics (ONS) were retrospectively analyzed age groups and status; standardized ratio (SMR) non-COVID-19 was calculated corresponding unvaccinated groups. Results We found that across all groups, SMRs increased a certain date, dependent on group. Across initially much lower than 1. due their increase, date 18-39, 80-89 90+ they exceeded reference value. For other at SMR would reach 1 predicted, provided trend maintained. Non-COVID-19 SMRs’ trends very similar. Their initial values are suggestive significant biases in ONS dataset, leading underestimate risks vaccinated people, as it implausible vaccines protect deaths. Conclusions increase over time death people compared unvaccinated, excess should carefully understand underlying factors. Furthermore, since 1, we assume presence understimate It desirable major countries systematically collect status and, meantime, pending indepth investigations, greater caution exercised promoting campaigns.

Language: Английский

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All-cause mortality according to COVID-19 vaccination status: An analysis of the UK office for National statistics public data

F1000Research, Journal Year: 2024, Volume and Issue: 13, P. 886 - 886

Published: Aug. 5, 2024

Background The mass vaccination campaign against COVID-19 has been commonly considered the best response to global pandemic crisis. However, assess its real-world overall effects, way can be analysis of all-cause mortality by status. UK is perhaps only country which made publicly available data Methods Data from April 2021 May 2023 published Office for National Statistics (ONS) were retrospectively analyzed age groups and status; standardized ratio (SMR) non-COVID-19 was calculated corresponding unvaccinated groups. Results We found that across all groups, SMRs increased a certain date, dependent on group. Across initially much lower than 1. due their increase, date 18-39, 80-89 90+ they exceeded reference value. For other at SMR would reach 1 predicted, provided trend maintained. Non-COVID-19 SMRs’ trends very similar. Their initial values are suggestive significant biases in ONS dataset, leading underestimate risks vaccinated people, as it implausible vaccines protect deaths. Conclusions increase over time death people compared unvaccinated, excess should carefully understand underlying factors. It desirable major countries systematically collect status and, meantime, moratorium promoting campaigns implemented.

Language: Английский

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Predictors of SARS-CoV-2 Infection and Severe and Lethal COVID-19 after Three Years of Follow-Up: A Population-Wide Study

Viruses, Journal Year: 2023, Volume and Issue: 15(9), P. 1794 - 1794

Published: Aug. 24, 2023

In this cohort study, the general population of an Italian Province was followed for three years after start pandemic, in order to identify predictors SARS-CoV-2 infection and severe or lethal COVID-19. All National Healthcare System information on biographical records, vaccinations, swabs, COVID-19 cases, hospitalizations co-pay exemptions were extracted from 25 February 2020 15 2023. Cox proportional hazard analysis used compute relative hazards COVID-19, adjusting age, gender, vaccine status, hypertension, diabetes, major cardiovascular diseases (CVD), chronic obstructive pulmonary disease (COPD), kidney cancer. Among 300,079 residents domiciled citizens, 41.5% had ≥1 positive swabs during follow-up (which lasted a mean 932 days). A total 3.67% infected individuals experienced (n = 4574) 1.76% died 2190). Females, elderly subjects with CVD, COPD, cancer showed significantly higher risk infection. The likelihood >90% lower among youngest, all comorbidities independently associated (ranging +28% +214%) both outcomes. Two immunization campaign, who received ≥2 doses vaccines still disease, lowest observed at least one booster dose.

Language: Английский

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A Reanalysis of an Italian Study on the Effectiveness of COVID-19 Vaccination Suggests That It Might Have Unintended Effects on Total Mortality

Published: June 6, 2024

Immortal-time bias (ITB) is known to be common in cohort studies and distorts the association estimates between treated untreated groups. We used data from last of two large an Italian province on COVID-19 vaccines safety effectiveness incurred this bias, aligned entire population a single index date, correct ITB. considered "all-cause deaths" outcome compare survival curves unvaccinated group various vaccination statuses. The all-cause deaths Hazard Ratios univariate analysis for (reference) versus vaccinated with 1, 2, 3/4 doses were 0.88 (CI95: 0.78 –1.00; p-value 0.044), 1.23 (1.16–1.32; ≤0.001) 1.21 (1.14–1.29; ≤0.001), respectively. multivariate values 2.40 (2.00–2.88; <0.0001), 1.98 (1.75–2.24; 0.99 (0.90–1.09; ns). possible explanations trend as vaccinations increase could harvesting effect; calendar-time accounting seasonality pandemic waves; case-counting windows bias; healthy-vaccinee or some their combination. With even calculated Restricted Mean Survival Time Lost have shown small but significant downside populations.

Language: Английский

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All-Cause Mortality According to COVID-19 Vaccination Status: an analysis of the UK Office for National Statistics Public Data

Published: June 17, 2024

The COVID-19 pandemics has had an unprecedented global impact, and the mass vaccination campaign been commonly regarded as crucial to overcome pandemics. Since all-cause mortality is best way measure consequences of a health intervention, present study was devised analyze data United Kingdom (UK), which are made publicly available broken down by status. Data from April 2021 May 2023 were retrospectively collected analyzed according age groups status Standardized Mortality Ratio (SMR) for non-COVID-19 calculated in comparison corresponding unvaccinated groups. Results show that, since group dependent date, SMRs increasing any considered. Initially, all-causes death less than 1 all groups, but due their growth, 18-39, 80-89 90+ years certain date they exceeded reference value. For other long trend maintained, it possible predict SMR would reach value 1. Non-COVID-19 values very similar trend. Their initial much lower suggest presence significant biases ONS dataset lead underestimation risks those vaccinated, not plausible that vaccine protects causes COVID-19. finding vaccinated people increases over time requires careful examination understand underlying factors. Meanwhile, major countries should undertake systematic collection status, be implemented moratorium promotion campaigns.

Language: Английский

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Vaccination against COVID-19 in a post-pandemic era

European Respiratory Society eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 27, 2024

Language: Английский

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Long-term effectiveness of an ultra-rapid rollout vaccination campaign with BNT162b2 on the incidence of SARS-CoV-2 infection

iScience, Journal Year: 2024, Volume and Issue: 27(11), P. 111117 - 111117

Published: Oct. 10, 2024

Language: Английский

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Risk of SARS-CoV-2 Reinfection 3 Years after the Start of the Pandemic: A Population-Level Observational Study

Life, Journal Year: 2023, Volume and Issue: 13(11), P. 2111 - 2111

Published: Oct. 24, 2023

The risk of SARS-CoV-2 reinfections changes as new variants emerge, but the follow-up time for most available evidence is shorter than two years. This study evaluated reinfection rates in total population an Italian province up to three years since pandemic’s start. retrospective cohort used official National Healthcare System data on testing and vaccinations, demographics, hospitalizations Province Pescara, Italy, from 2 March 2020 31 December 2022. A 6541 (5.4%) 33 severe 18 lethal COVID-19 cases were recorded among 121,412 subjects who recovered a primary infection. There no events following young population, whereas 1.1% reinfected elderly died. significantly higher was observed females; unvaccinated individuals; adults (30–59 y); with hypertension, COPD, kidney disease. Up after infection, majority did not experience reinfection. very low adult individuals still high elderly. hybrid immunity showed lower unvaccinated.

Language: Английский

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