Despite Vaccination: A Real-Life Experience of Severe and Life-Threatening COVID-19 in Vaccinated and Unvaccinated Patients
by
, ,
Marta Colaneri
1,†
,
Erika Asperges
1,†,
Matteo Calia
1,2,
Paolo Sacchi
1,
Marco Rettani
3,
Sara Cutti
3,
Giuseppe Albi
4 and
Raffaele Bruno
1,2,*
1
Division of Infectious Diseases, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
2
Department of Medical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, 27100 Pavia, Italy
3
Medical Direction, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
4
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Vaccines 2022, 10(9), 1540; https://doi.org/10.3390/vaccines10091540
Submission received: 26 July 2022
/
Revised: 8 September 2022
/
Accepted: 13 September 2022
/
Published: 16 September 2022
(This article belongs to the Special Issue Assessment of Post-COVID-19 Complications and Vaccination Efficacy)
Abstract
:Some vaccinated individuals still develop severe COVID-19, and the underlying causes are not entirely understood. We aimed at identifying demographic, clinical, and coinfection characteristics of vaccinated patients who were hospitalized. We also hypothesized that coinfections might play a role in disease severity and mortality. We retrospectively collected data from our COVID-19 registry for whom vaccination data were available. Patients were split into groups based on the number of administered doses (zero, one, two, or three). Data were assessed with Chi-square and Kruskal–Wallis tests and multiple logistic regression analysis. We collected data from 1686 patients and found that intra-hospital mortality was not associated to the vaccination status (e.g., p = 0.2 with three doses), while older age, sepsis, and non-viral pneumonia were (p < 0.001). Unvaccinated patients needed mechanical ventilation more often (8.5%) than vaccinated patients, in whom the probability of mechanical ventilation decreased with increasing doses (8.7%, 2.8%, 0%). We did not find more coinfections in vaccinated people. We concluded that there is a lack of real-life data to adequately characterize the pathophysiology and risk factors of patients who develop severe COVID-19, but coinfections do not appear to play a role in disease severity.
1. Introduction
In addition to the clinical trials of mRNA and adenoviral vector vaccines against SARS-CoV-2 [1,2,3], plenty of real-life data on their high efficacy against COVID-19-related hospitalizations and deaths are currently available [4]. Many Italian reports confirmed these data in the local population, even in the early phase of the vaccination campaign [5,6], and currently, as of June 2022, roughly 48.6 million individuals have received two doses of the COVID-19 vaccine, namely 90% of the total population over 12 years of age [7].
However, some individuals, even if fully vaccinated, develop severe COVID-19, requiring hospital admission. Although certain pre-existing medical conditions, which generally affect the immune response to vaccination [8], might account for the occurrence of post-vaccination severe disease, the underlying causes of such undesirable events are not entirely explored.
On this line of thought, Hippisley and colleagues recently developed a novel clinical risk prediction model to estimate the absolute risk of COVID-19-related death and hospitalization in vaccinated individuals [9], but real-life data are still limited.
Besides vaccination, there are investigations on the impact of additional conditions, such as coinfections, on intra-hospital mortality and the increased severity of the disease [10,11]. In fact, coinfections can be expected to affect the disease course and, possibly, the mortality risk [12].
With this in mind, we aimed at identifying the demographic, clinical, laboratory, and coinfection characteristics of patients who, despite being fully or partially vaccinated with mRNA and adenoviral vector vaccines against SARS-CoV-2, were hospitalized. Moreover, we wanted to investigate these patients’ risk factors for ICU admission and intra-hospital mortality. Finally, we focused on bacterial and viral coinfections detected during hospitalization to better explore a possible association between the coinfection variable and the aforementioned outcomes (ICU admission and intra-hospital mortality).
2. Materials and Methods
2.1. Study Setting
The SMAtteo COVID-19 REgistry (SMACORE) prospectively collects all the data of COVID-19 patients referred to the IRCCS Policlinico San Matteo Hospital of Pavia, Italy from February 2020, including demography, symptoms at admission and comorbidities, laboratory tests, treatment, and outcomes (admission to the ICU, death or discharge). Ethics approval for observational research using SMACORE data were obtained from the local ethics committee (protocol number 20200046877). In this study, we report a retrospective analysis of SMACORE patients for whom vaccination data were available. The study period runs from January 2021, when the vaccination campaign started in Italy, to March 2022.
The population was split in not vaccinated and vaccinated patients. Vaccinated patients were further classified into 3 groups based on the vaccination type and number of administered doses (1 dose, 2 doses or monodose vaccine, 3 doses).
We only excluded pediatric patients under 5 years of age, given that no vaccine is approved for this age group.
2.2. Outcomes
The primary and secondary outcomes of this study were to assess whether the vaccination status has an impact on intra-hospital mortality and ICU admission. First, we compared the characteristics of vaccinated and unvaccinated hospitalized patients. Then, we evaluated the role of bacterial and viral coinfections in the intra-hospital mortality of these patients.
2.3. Statistical Analysis
Frequencies were computed for categorical variables, whereas medians and interquartile ranges were employed to describe continuous variables.
To analyze the differences in the demographic, clinical, laboratory, and coinfection variables among the groups, Chi-square tests with Bonferroni-adjusted post-hoc comparisons were employed for categorical variables and Kruskal–Wallis tests with Dunn–Sidak post hoc comparisons for continuous variables.
Multiple logistic regression analyses were performed: the first to assess the association between intra-hospital mortality (independent variable) and vaccination status (dependent variable), including gender, age, number of comorbidities, bacterial or viral coinfection, time elapsed between last vaccination, and hospital admission as confounders. The second regression analysis was performed to assess the association between ICU admission and vaccination status, including the same confounders. The choice of confounders was guided by available data and clinical experience.
The results are expressed in odds ratio (OR) and 95% CI. The significance threshold was set at 0.05. Descriptive analysis was performed with Scikit-learn (version 1.0.2) and SciPy (version 1.7.3) Python’s packages and logistic regression analysis was performed using R (version 4.1.2).
3. Results
Overall, we identified 1686 patients, whose characteristics by vaccine status are reported in Table 1. Most patients (1103, 65.4%) did not receive any COVID-19 vaccination, while 92 (5.5%) received only one dose, 321 (19%) received two doses or a single dose of a vaccine approved for a single administration, and 170 (10.1%) received a full three-dose vaccination course. Notably, mRNA-based vaccines were the most frequently used (78.2–88.8%).
Median age was lower in the unvaccinated group than in those who received one, two/monodose, and three doses, with a slight predominance of males in all the analyzed groups.
Regarding comorbidities, the most common was hypertension, followed by diabetes and chronic kidney disease (CKD). CKD, cancer, dementia, and cardiovascular disease were more frequent in those who received three doses of vaccine, compared to not vaccinated patients.
One hundred and forty-four unvaccinated patients (13.1%) died, compared to 17/92 (18.5%, p = 0.9), 63/321 (19.6%, p = 0.03), and 32/170 (18.8%, p = 0.3) patients who received, respectively, one, two/monodose, and three vaccine doses.
Ventilation support need was generally reduced at increasing vaccine doses. Continuous positive airways pressure (CPAP) was used in 35.3% of unvaccinated patients and in just 14.7% of the three-dose vaccinated subpopulation (p < 0.001). More importantly, endotracheal intubation (ETI) was never applied in patients who received three vaccine doses.
Similarly, intensive care (ICU) admission rate was lower in the fully vaccinated group (8.2%), with a significantly shorter length of stay (LOS) in the ICU, when compared to those not vaccinated.
Regarding the primary outcome, being vaccinated with two doses/monodose or three doses did not have any impact on the intra-hospital mortality. Age, bacterial sepsis, and non-viral pneumonia were found to be confounders, which resulted in an increased risk of death in this analysis. On the other hand, patients vaccinated with three doses had a lower probability of being admitted to the ICU but again having sepsis, a UTI, or a non-viral pneumonia significantly increased this risk (Table 2).
Data on coinfections are presented in Table 3. The most frequent infectious complications occurring during admission were non-viral pneumonia and UTIs, which occurred homogeneously in the different vaccinal status classes.
4. Discussion
According to our results, hospitalized unvaccinated patients were younger and had fewer comorbidities compared to those who were vaccinated with any vaccine dose. We also found that intra-hospital mortality was not associated to the vaccination status, while older age, sepsis, and non-viral pneumonia were associated with a poorer outcome. However, the disease was significantly more severe in unvaccinated patients, who needed continuous positive airway pressure (CPAP) and ETI more often than vaccinated patients. Moreover, the probability of CPAP or ETI was inversely proportional to the doses received, with lower probability in patients who received three doses.
The characteristics of COVID-19 hospitalized patients who did and did not receive any vaccination against SARS-CoV-2 have been sporadically described [13,14] and are substantially in line with our results, showing that vaccinated hospitalized individuals with COVID-19 were older and with a significantly higher burden of comorbidities. Older age and pre-existing comorbidities are well-known major predictors of COVID-19 severity and intra-hospital related mortality [15,16], and we show that, in these circumstances, vaccination is not able to fully prevent negative outcomes, so much so that we documented more deaths in the vaccinated, but older, groups than in younger unvaccinated people. Despite this, and in line with other centers, we confirm that admission for COVID-19 is more likely among unvaccinated individuals [17] who are also more likely to need ICU admission, despite being younger and with fewer major concomitant diseases. This finding is in line with other ICUs’ reports, which claimed a significantly increased proportion of unvaccinated patients [18,19]. Their better health status, thus, clearly cannot outweigh the lack of the immune protection provided by vaccines.
Concordantly, patients with multiple comorbidities, which we observed to be prevalent in the fully vaccinated group, were less likely to end up in the ICU. Although such a result might be justified by the natural inclination to give precedence to younger and less compromised patients [20], it demonstrates the efficacy of vaccines in preventing severe and critical disease, as well as confirming the deadly potential of SARS-CoV-2 even in younger and previously healthy patients, if not adequately protected by vaccination.
The impact of coinfections in COVID-19 outcomes have already been reported [21,22,23,24]. Our results suggest that secondary bacterial infections, in particular, are a significant, but potentially treatable, contributing factor to disease severity and mortality. For this reason, we expected to find a higher prevalence of coinfections in vaccinated people, since this could explain why, despite vaccination, they required admission or even ICU. This was not so, thus, we concluded that when severe COVID-19 occurs in vaccinated people, the worse course of disease is actually due to the lack of vaccine response. The severity of co-occurring infections, however, should still prompt clinicians to design protocols for early diagnosis and treatment [25], especially because the immune dysregulation and functional exhaustion of COVID-19 antiviral lymphocytes [26,27] might also lead to an increased susceptibility to co-infections. On this note, the only coinfections that showed a different prevalence in the four groups were EBV and CMV, which are, in fact, controlled by the lymphocytes, which get depleted during SARS-CoV-2 infection. EBV replication, in particular, seems to be much more common in unvaccinated patients.
Our study is limited by its retrospective and single-center nature. The ample cohort and the inclusion of a large selection of coinfections, however, limits the impact of confounding factors and outliers.
In summary, while the efficacy of anti-SARS-CoV-2 vaccinations can hardly be doubted, there is a lack of real-life data to adequately characterize the pathophysiology and risk factors of patients who, despite being fully or partially vaccinated, are burdened with severe COVID-19. Recognizing these individuals’ risk factors for an adverse outcome might assist clinicians in personalizing treatments and referrals to ICUs.
Author Contributions
Conceptualization, M.C. (Marta Colaneri), E.A., P.S. and R.B.; methodology, P.S. and G.A.; formal analysis, G.A.; investigation, M.C. (Matteo Calia), E.A. and S.C.; resources, S.C. and R.B.; data curation, M.R., S.C. and G.A; writing—original draft preparation, M.C. (Marta Colaneri) and E.A.; writing—review and editing, P.S.; visualization, G.A.; supervision, P.S. and R.B.; project administration, R.B.; funding acquisition, R.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Pan-European Response to the ImpactS of COVID-19 and future Pandemics and Epidemics (PERISCOPE) H2020-SC1-PHE-CORONAVIRUS-2020-2 PERISCOPE Project (Grant agreement: 101016233).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Fondazione IRCCS Policlinico San Matteo’s ethics committee (protocol number 20200046877).
Informed Consent Statement
All patients provided informed consent for the use of clinical data for scientific purpose according to hospital policy.
Data Availability Statement
The published article includes all datasets generated or analyzed during the study. Data sharing is available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
References
- Polack, F.P.; Thomas, S.J.; Kitchin, N.; Absalon, J.; Gurtman, A.; Lockhart, S.; Perez, J.L.; Pérez Marc, G.; Moreira, E.D.; Zerbini, C.; et al. Safety and Efficacy of the BNT162b2 mRNA COVID-19 Vaccine. N. Engl. J. Med. 2020, 383, 2603–2615. [Google Scholar] [CrossRef]
- Baden, L.R.; El Sahly, H.M.; Essink, B.; Kotloff, K.; Frey, S.; Novak, R.; Diemert, D.; Spector, S.A.; Rouphael, N.; Creech, C.B.; et al. Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine, N. Engl. J. Med. 2021, 384, 403–416. [Google Scholar] [CrossRef]
- Voysey, M.; Clemens, S.A.C.; Madhi, S.A.; Weckx, L.Y.; Folegatti, P.M.; Aley, P.K.; Angus, B.; Baillie, V.L.; Barnabas, S.L.; Bhorat, Q.E.; et al. Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: An interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. Lancet 2021, 397, 99–111. [Google Scholar] [CrossRef]
- Moline, H.L.; Whitaker, M.; Deng, L.; Rhodes, J.C.; Milucky, J.; Pham, H.; Patel, K.; Anglin, O.; Reingold, A.; Chai, S.J.; et al. Effectiveness of COVID-19 Vaccines in Preventing Hospitalization Among Adults Aged > 65 Years—COVID-NET, 13 States, February–April 2021. MMWR Recomm. Rep. 2021, 70, 1088–1093. [Google Scholar] [CrossRef]
- Sacco, C.; Mateo-Urdiales, A.; Rota, M.C.; Fabiani, M.; Boros, S.; Bressi, M.; Petrone, D.; Vescio, M.F.; Del Manso, M.; Bella, A.; et al. Infezioni da SARS-CoV-2, ricoveri e decessi associati a COVID-19 direttamente evitati dalla vaccinazione; Nota tecnica; Istituto Superiore di Sanità: Roma, Italy, 2022. [Google Scholar]
- Flacco, M.E.; Soldato, G.; Acuti Martellucci, C.; Carota, R.; Di Luzio, R.; Caponetti, A.; Manzoli, L. Interim estimates of COVID-19 vaccine effectiveness in a mass vaccination setting: Data from an italian province. Vaccines 2021, 9, 628. [Google Scholar] [CrossRef]
- Pandemia Coronavirus|GIMBE|Comunicati Stampa|30/06/2022. (s.d.). Pandemia Coronavirus|GIMBE|Italia. Available online: https://coronavirus.gimbe.org/press/comunicati/comunicato.it-IT.html?id=360 (accessed on 1 July 2022).
- Zimmermann, P.; Curtis, N. Factors that influence the immune response to vaccination. Clin. Microbiol. Rev. 2019, 32, e00084-18. [Google Scholar] [CrossRef]
- Hippisley-Cox, J.; Coupland, C.A.; Mehta, N.; Keogh, R.H.; Diaz-Ordaz, K.; Khunti, K.; Lyons, R.A.; Sheikh, A.; Rahman, S.; Valabhji, J.; et al. Risk prediction of COVID-19 related death and hospital admission in adults after COVID-19 vaccination: National prospective cohort study. BMJ 2021, 374, n2244. [Google Scholar] [CrossRef]
- Kumar, G.; Adams, A.; Hererra, M.; Rojas, E.R.; Singh, V.; Sakhuja, A.; Meersman, M.; Dalton, D.; Kethireddy, S.; Nanchal, R.; et al. Predictors and outcomes of healthcare-associated infections in COVID-19 patients. Int. J. Infect. Dis. 2021, 104, 287–292. [Google Scholar] [CrossRef]
- Rakiro, J.; Shah, J.; Waweru-Siika, W.; Wanyoike, I.; Riunga, F. Microbial coinfections and superinfections in critical COVID-19: A Kenyan retrospective cohort analysis. IJID Reg. 2021, 1, 41–46. [Google Scholar] [CrossRef]
- Silva, D.L.; Lima, C.M.; Magalhaes, V.C.R.; Baltazar, L.M.; Peres, N.T.A.; Caligiorne, R.B.; Moura, A.S.; Fereguetti, T.; Martins, J.C.; Rabelo, L.F.; et al. Fungal and bacterial coinfections increase mortality of severely ill COVID-19 patients. J. Hosp. Infect. 2021, 113, 145–154. [Google Scholar] [CrossRef]
- Mielke, N.; Johnson, S.; Bahl, A. Fully Vaccinated and Boosted Patients Requiring Hospitalization for COVID-19: An Observational Cohort Analysis. medRxiv 2022. [Google Scholar] [CrossRef]
- Palmieri, L.; Floridia, M.; Giuliano, M.; Tiple, D.; Lo Noce, C.; Meli, P.; Onder, G.; Italian National Institute of Health COVID-19 Mortality Group. Clinical characteristics of SARS-CoV-2 fully-vaccinated patients dying with COVID-19 in Italy. Clin. Microbiol. Infect. 2022, 28, 890–892. [Google Scholar] [CrossRef]
- Kang, S.J.; Jung, S.I. Age-Related Morbidity and Mortality among Patients with COVID-19. Infect. Chemother. 2020, 52, 154–164. [Google Scholar] [CrossRef]
- Djaharuddin, I.; Munawwarah, S.; Nurulita, A.; Ilyas, M.; Tabri, N.A.; Lihawa, N. Comorbidities and mortality in COVID-19 patients. Gac. Sanit. 2021, 35 (Suppl. 2), S530–S532. [Google Scholar] [CrossRef]
- Christie, B. COVID-19: Fact check-how many patients in hospital are unvaccinated? BMJ 2022, 376, o5. [Google Scholar] [CrossRef]
- Holton, K. (2021, 29 dicembre). UK’s Johnson Warns of Hospital Risk for Unvaccinated. Reuters. Available online: https://www.reuters.com/world/uk/uks-johnson-says-people-without-covid-boosters-ending-up-hospital-2021-12-29/ (accessed on 1 July 2022).
- Covid. Il 67% dei ricoverati in rianimazione non è vaccinato—Quotidiano Sanità. (2022, 12 gennaio). QS—Quotidiano Sanità. Available online: https://www.quotidianosanita.it/studi-e-analisi/articolo.php?articolo_id=101368 (accessed on 1 July 2022).
- Bouneb, R.; Mellouli, M.; Dardouri, M.; Soltane, H.B.; Chouchene, I.; Boussarsar, M. Determinants and outcomes associated with decisions to deny intensive care unit admission in Tunisian ICU. Pan Afr. Med. J. 2018, 29, 176. [Google Scholar] [CrossRef]
- Feldman, C.; Anderson, R. The role of co-infections and secondary infections in patients with COVID-19. Pneumonia 2021, 13, 5. [Google Scholar] [CrossRef]
- Lv, Z.; Cheng, S.; Le, J.; Huang, J.; Feng, L.; Zhang, B.; Li, Y. Clinical characteristics and co-infections of 354 hospitalized patients with COVID-19 in Wuhan, China: A retrospective cohort study. Microbes Infect. 2020, 22, 195–199. [Google Scholar] [CrossRef]
- Bonazzetti, C.; Morena, V.; Giacomelli, A.; Oreni, L.; Casalini, G.; Galimberti, L.R.; Bolis, M.; Rimoldi, M.; Ballone, E.; Colombo, R.; et al. Unexpectedly High Frequency of Enterococcal Bloodstream Infections in Coronavirus Disease 2019 Patients Admitted to an Italian ICU: An Observational Study. Crit. Care Med. 2020, 49, E31–E40. [Google Scholar] [CrossRef]
- Palanisamy, N.; Vihari, N.; Meena, D.S.; Kumar, D.; Midha, N.; Tak, V.; Sharma, A.; Bohra, G.K.; Kothari, N.; Dutt, N.; et al. Clinical profile of bloodstream infections in COVID-19 patients: A retrospective cohort study. BMC Infect. Dis. 2021, 21, 933. [Google Scholar] [CrossRef]
- Musuuza, J.S.; Watson, L.; Parmasad, V.; Putman-Buehler, N.; Christensen, L.; Safdar, N. Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis. PLoS ONE 2021, 16, e0251170. [Google Scholar] [CrossRef]
- Zheng, M.; Gao, Y.; Wang, G.; Song, G.; Liu, S.; Sun, D.; Xu, Y.; Tian, Z. Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell. Mol. Immunol. 2020, 17, 533–535. [Google Scholar] [CrossRef]
- Ho, H.E.; Peluso, M.J.; Margus, C.; Matias Lopes, J.P.; He, C.; Gaisa, M.M.; Osorio, G.; Aberg, J.A.; Mullen, M.P. Clinical outcomes and immunologic characteristics of COVID-19 in people with HIV. J. Infect. Dis. 2021, 223, 403–408. [Google Scholar] [CrossRef]
Table 1.
General and clinical characteristics of 1666 patients.
| Not Vaccinated (n = 1103 − 65.4%) | Vaccinated with One Dose (n = 92 − 5.5%) | Vaccinated with Two Doses or Monodose (n = 321 − 19%) | Vaccinated with Three Doses (n = 170 − 10.1%) | p-Value | |
|---|---|---|---|---|---|
| Demographic and Clinical Data | |||||
| Age (years) | 63 (26) | 71 (24.5) | 73 (24) | 75 (19) | <<0.001 |
| Sex | 0.63 | ||||
| M | 613 (55.6%) | 50 (54.3%) | 191 (59.5%) | 95 (55.9%) | |
| F | 490 (44.4%) | 42 (45.7%) | 130 (40.4%) | 75 (44.1%) | |
| Vaccine type | - | ||||
| mRNA | 79 (85.9%) | 251 (78.2%) | 151 (88.8%) | ||
| 13 (14.1%) | 65 (20.2%) | - | |||
| Adenovirus | |||||
| mixed | 5 (1.6%) | 19 (11.2%) | |||
| Comorbidities | |||||
| Diabetes | 176 (15.9%) | 11 (11.9%) | 44 (13.7%) | 18 (10.6%) | 0.22 |
| COPD | 58 (5.2%) | 12 (13%) | 25 (7.8%) | 16 (9.4%) | 0.006 |
| Hypertension | 317 (28.7%) | 22 (23.9%) | 93 (28.9%) | 37 (21.7%) | 0.21 |
| CHD | 106 (9.6%) | 6 (6.5%) | 39 (12.1%) | 27 (15.9%) | 0.03 |
| CLD | 31(2.8%) | 3 (3.3%) | 17 (5.3%) | 6 (3.5%) | 0.19 |
| CKD | 90 (8.2%) | 4 (4.3%) | 52 (16.2%) | 34 (20%) | <<0.001 |
| Cancer | 63 (5.7%) | 12 (13%) | 34 (10.6%) | 35 (20.6%) | <<0.001 |
| Dementia | 28 (2.5%) | 4 (4.3%) | 16 (4.9%) | 13 (7.6%) | 0.004 |
| CVD | 65 (5.9%) | 5 (5.4%) | 51 (15.9%) | 30 (17.6%) | <<0.001 |
| Time (days) vaccination-admission (days) | - | 21.31 (48.10) | 174.16 (92.81) | 45.62 (56.73) | <<0.001 |
| Laboratory Data | |||||
| Lymphocytes, 103 | 0.6 (0.6) | 0.6 (0.6) | 0.7 (0.7) | 0.6 (0.66) | 0.02 |
| Platelets, 103 | 178 (105) | 156.5 (89.75) | 165 (103) | 161.5 (106.75) | <<0.001 |
| Neutrophils, 103 | 85.87 (13.12) | 85.45 (14.32) | 84 (16.2) | 87.29 (13.86) | 0.003 |
| Creatinine, | 0.88 (0.43) | 0.93 (0.52) | 1.08 (0.66) | 1.16 (1.01 | <<0.001 |
| CRP, | 9.97 (12.61) | 10.92 (12.31) | 9.65 (13.89) | 7.33 (14.52) | 0.46 |
| PCTI, | 0.17 (0.82) | 0.19 (0.87) | 0.32 (1.71) | 0.68 (3.2) | <<0.001 |
| DD, | 1822 (3948) | 1810 (3392) | 1949 (5657) | 2099 (3934) | 0.52 |
| Glucose, | 112 (52) | 108.5 (38.25) | 113 (52.2) | 121 (63) | 0.1 |
| TNI, | 14 (58.5) | 39 (81.25) | 28.5 (176.25) | 76.5 (519.25) | <<0.001 |
| Clinical Outcomes | |||||
| Death | 144 (13.1%) | 17 (18.5%) | 63 (19.6%) | 32 (18.8%) | 0.01 |
| Oxygen required | |||||
| CPAP | 392 (35.3%) | 27 (29.3%) | 66 (20.5%) | 25 (14.7%) | <<0.001 |
| ETI | 94 (8.5%) | 8 (8.7%) | 9 (2.8%) | - | <0.001 |
| ILOS (days) | 12.31 (14.13) | 12.41 (14.54) | 10.09 (14.09) | 11.14 (13.93) | 0.02 |
| ICU admitted | |||||
| yes | 267 (24.2%) | 15 (16.3%) | 22 (6.8%) | 14 (8.2%) | <<0.001 |
| ICU-LOS (days) | 12.98 (21.22) | 13.28 (23.54) | 12.52 (31.97) | 6.95 (5.55) | <<0.001 |
COPD, chronic obstructive pulmonary disease; CHD, coronary heart disease; CLD, chronic liver disease; CKD, chronic kidney disease; CVD, cerebrovascular disease; CPAP, continuous positive airways pressure; ETI, endotracheal intubation; ICU, intensive care unit; LOS, length of stay; DD: D-dimer; PCT: procalcitonin; CRP: C-reactive protein; TNI: troponin.
Table 2.
Multivariable logistic regression analysis of factors associated to death and ICU admission.
Table 2.
Multivariable logistic regression analysis of factors associated to death and ICU admission.
| OR | 95% CI | p-Value | |
|---|---|---|---|
| Analysis on intra-hospital mortality | |||
| Vaccinated with one dose | 0.91 | 0.46–1.72 | 0.795 |
| Vaccinated with two doses or monodose | 0.63 | 0.29–1.30 | 0.227 |
| Vaccinated with three doses | 0.73 | 0.43–1.22 | 0.243 |
| Age | 1.09 | 1.07–1.10 | <0.001 |
| Sex (male) | 1.00 | 0.72–1.38 | 0.982 |
| Number of comorbidities | 1.17 | 0.99–1.39 | 0.053 |
| Time between last vaccinations and admission (days) | 1.00 | 0.99–1.00 | 0.148 |
| BSIs | 3.22 | 1.99–5.23 | <0.001 |
| UTIs | 0.79 | 0.52–1.17 | 0.26 |
| Clostridioides colitis | 0.99 | 0.24–3.50 | 0.995 |
| Non-viral pneumonia | 3.82 | 2.60–5.62 | <0.001 |
| Analysis on ICU admission | |||
| Vaccinated with one dose | 0.48 | 0.21–1.01 | 0.066 |
| Vaccinated with two doses or monodose | 0.27 | 0.09–0.68 | 0.008 |
| Vaccinated with three doses | 0.31 | 0.15–0.61 | 0.001 |
| Age | 1.00 | 0.99–1.01 | 0.620 |
| Sex (male) | 1.53 | 1.12–2.11 | 0.008 |
| Number of comorbidities | 0.76 | 0.62–0.92 | 0.006 |
| Time between last vaccinations and admission (days) | 0.99 | 0.99–1.00 | 0.128 |
| Sepsis | 5.56 | 3.49–8.89 | <0.001 |
| UTIs | 2.65 | 1.77–3.96 | <0.001 |
| Clostridioides colitis | 0.52 | 0.09–2.12 | 0.401 |
| Non-viral pneumonia | 6.00 | 4.23–8.51 | <0.001 |
BSIs: blood stream infections; ICU: intensive care unit; UTIs: urinary tract infections.
Table 3.
Data about coinfections by vaccination status.
| Not Vaccinated n = 1103 (65.4%) | Vaccinated with One Dose n = 92 (5.5%) | Vaccinated with Two Doses or Monodose n = 321 (19%) | Vaccinated with Three Doses n = 170 (10.1%) | p-Value | |
|---|---|---|---|---|---|
| BSIs | 121 (10.9%) | 14 (15.2%) | 31 (9.6%) | 10 (5.9%) | 0.09 |
| MDR colonization | 86 (7.8%) | 7 (7.6%) | 16 (4.9%) | 8 (4.7%) | 0.21 |
| NVP | 240 (21.7%) | 20 (21.7%) | 64 (19.9%) | 37 (21.7%) | 0.92 |
| UTI | 178 (16.1%) | 17 (18.5%) | 56 (17.4%) | 25 (14.7%) | 0.81 |
| Clostridioides colitis | 8 (0.7%) | 1 (1.1%) | 2 (0.6%) | 3 (1.7%) | 0.53 |
| CMV | 29 (2.6%) | 3 (3.3%) | 2 (0.6%) | 10 (5.9%) | 0.006 |
| EBV | 134 (12.1%) | 6 (6.5%) | 14 (4.4%) | 10 (5.9%) | <<0.001 |
| HIV | 3 (0.3%) | - | 1 (0.3%) | - | 0.86 |
| Other respiratory viruses | 15 (1.3%) | 1 (1.1%) | 1 (0.3%) | 1 (0.6%) | 0.39 |
MDR, multi drug resistant; NVP, non-viral pneumonia; UTI, urinary tract infection; CMV, cytomegalovirus; EBV: Epstein–Barr virus; HIV: human immunodeficiency virus.
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Colaneri, M.; Asperges, E.; Calia, M.; Sacchi, P.; Rettani, M.; Cutti, S.; Albi, G.; Bruno, R. Despite Vaccination: A Real-Life Experience of Severe and Life-Threatening COVID-19 in Vaccinated and Unvaccinated Patients. Vaccines 2022, 10, 1540. https://doi.org/10.3390/vaccines10091540
AMA Style
Colaneri M, Asperges E, Calia M, Sacchi P, Rettani M, Cutti S, Albi G, Bruno R. Despite Vaccination: A Real-Life Experience of Severe and Life-Threatening COVID-19 in Vaccinated and Unvaccinated Patients. Vaccines. 2022; 10(9):1540. https://doi.org/10.3390/vaccines10091540
Chicago/Turabian StyleColaneri, Marta, Erika Asperges, Matteo Calia, Paolo Sacchi, Marco Rettani, Sara Cutti, Giuseppe Albi, and Raffaele Bruno. 2022. "Despite Vaccination: A Real-Life Experience of Severe and Life-Threatening COVID-19 in Vaccinated and Unvaccinated Patients" Vaccines 10, no. 9: 1540. https://doi.org/10.3390/vaccines10091540
APA StyleColaneri, M., Asperges, E., Calia, M., Sacchi, P., Rettani, M., Cutti, S., Albi, G., & Bruno, R. (2022). Despite Vaccination: A Real-Life Experience of Severe and Life-Threatening COVID-19 in Vaccinated and Unvaccinated Patients. Vaccines, 10(9), 1540. https://doi.org/10.3390/vaccines10091540
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