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1.
Tumori ; : 3008916211073771, 2022 Feb 08.
Article in English | MEDLINE | ID: covidwho-2235069

ABSTRACT

INTRODUCTION: This study assesses the risk of infection and clinical outcomes in a large consecutive population of cancer and non-cancer patients tested for SARS-CoV-2 status. METHODS: Study patients underwent SARS-CoV-2 molecular-testing between 22 February 2020 and 31 July 2020, and were found infected (CoV2+ve) or uninfected. History of malignancy was obtained from regional population-based cancer registries. Cancer-patients were distinguished by time between cancer diagnosis and SARS-CoV-2 testing (<12/⩾12 months). Comorbidities, hospitalization, and death at 15 September 2020 were retrieved from regional population-based databases. The impact of cancer history on SARS-CoV-2 infection and clinical outcomes was calculated by fitting a multivariable logistic regression model, adjusting for sex, age, and comorbidities. RESULTS: Among 552,362 individuals tested for SARS-CoV-2, 55,206 (10.0%) were cancer-patients and 22,564 (4.1%) tested CoV2+ve. Irrespective of time since cancer diagnosis, SARS-CoV-2 infection was significantly lower among cancer patients (1,787; 3.2%) than non-cancer individuals (20,777; 4.2% - Odds Ratio (OR)=0.60; 0.57-0.63). CoV2+ve cancer-patients were older than non-cancer individuals (median age: 77 versus 57 years; p<0.0001), were more frequently men and with comorbidities. Hospitalizations (39.9% versus 22.5%; OR=1.61; 1.44-1.80) and deaths (24.3% versus 9.7%; OR=1.51; 1.32-1.72) were more frequent in cancer-patients. CoV2+ve cancer-patients were at higher risk of death (lung OR=2.90; 1.58-5.24, blood OR=2.73; 1.88-3.93, breast OR=1.77; 1.32-2.35). CONCLUSIONS: The risks of hospitalization and death are significantly higher in CoV2+ve individuals with past or present cancer (particularly malignancies of the lung, hematologic or breast) than in those with no history of cancer.

2.
Cancer Epidemiol ; 82: 102318, 2023 02.
Article in English | MEDLINE | ID: covidwho-2158547

ABSTRACT

BACKGROUND: The risks of hospital admission for COVID-19-related conditions and all-cause death of SARS-CoV-2 infected cancer patients were investigated according to vaccination status. METHODS: A population-based cohort study was carried out on 9754 infected cancer patients enrolled from January 1, 2021 to June 30, 2022. Subdistribution hazard ratio (SHRs) or hazard ratios (HRs) with 95 % confidence intervals (CI), adjusted for sex, age, comorbidity index, and time since cancer incidence, were computed to assess the risk of COVID-19 hospital admission or death of unvaccinated vs. patients with at least one dose of vaccine (i.e., vaccinated). RESULTS: 2485 unvaccinated patients (25.5 %) were at a 2.57 elevated risk of hospital admission (95 % CI: 2.13-2.87) and at a 3.50 elevated risk of death (95 % CI: 3.19-3.85), as compared to vaccinated patients. Significantly elevated hospitalizations and death risks emerged for both sexes, across all age groups and time elapsed since cancer diagnosis. For unvaccinated patients, SHRs for hospitalization were particularly elevated in those with solid tumors (SHR = 2.69 vs. 1.66 in patients with hematologic tumors) while HRs for the risk of death were homogeneously distributed. As compared to boosted patients, SHRs for hospitalization and HRs for death increased with decreasing number of doses. CONCLUSIONS: Study findings stress the importance of SARS-CoV-2 vaccines to reduce hospital admission and death risk in cancer patients.


Subject(s)
COVID-19 , Neoplasms , Female , Male , Humans , SARS-CoV-2 , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Cohort Studies , Neoplasms/epidemiology , Neoplasms/therapy , Vaccination , Hospitalization , Italy/epidemiology , Hospitals
3.
PLoS Med ; 19(7): e1004056, 2022 07.
Article in English | MEDLINE | ID: covidwho-1962980

ABSTRACT

BACKGROUND: Myocarditis and pericarditis following the Coronavirus Disease 2019 (COVID-19) mRNA vaccines administration have been reported, but their frequency is still uncertain in the younger population. This study investigated the association between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) mRNA vaccines, BNT162b2, and mRNA-1273 and myocarditis/pericarditis in the population of vaccinated persons aged 12 to 39 years in Italy. METHODS AND FINDINGS: We conducted a self-controlled case series study (SCCS) using national data on COVID-19 vaccination linked to emergency care/hospital discharge databases. The outcome was the first diagnosis of myocarditis/pericarditis between 27 December 2020 and 30 September 2021. Exposure risk period (0 to 21 days from the vaccination day, subdivided in 3 equal intervals) for first and second dose was compared with baseline period. The SCCS model, adapted to event-dependent exposures, was fitted using unbiased estimating equations to estimate relative incidences (RIs) and excess of cases (EC) per 100,000 vaccinated by dose, age, sex, and vaccine product. Calendar period was included as time-varying confounder in the model. During the study period 2,861,809 persons aged 12 to 39 years received mRNA vaccines (2,405,759 BNT162b2; 456,050 mRNA-1273); 441 participants developed myocarditis/pericarditis (346 BNT162b2; 95 mRNA-1273). Within the 21-day risk interval, 114 myocarditis/pericarditis events occurred, the RI was 1.99 (1.30 to 3.05) after second dose of BNT162b2 and 2.22 (1.00 to 4.91) and 2.63 (1.21 to 5.71) after first and second dose of mRNA-1273. During the [0 to 7) days risk period, an increased risk of myocarditis/pericarditis was observed after first dose of mRNA-1273, with RI of 6.55 (2.73 to 15.72), and after second dose of BNT162b2 and mRNA-1273, with RIs of 3.39 (2.02 to 5.68) and 7.59 (3.26 to 17.65). The number of EC for second dose of mRNA-1273 was 5.5 per 100,000 vaccinated (3.0 to 7.9). The highest risk was observed in males, at [0 to 7) days after first and second dose of mRNA-1273 with RI of 12.28 (4.09 to 36.83) and RI of 11.91 (3.88 to 36.53); the number of EC after the second dose of mRNA-1273 was 8.8 (4.9 to 12.9). Among those aged 12 to 17 years, the RI was of 5.74 (1.52 to 21.72) after second dose of BNT162b2; for this age group, the number of events was insufficient for estimating RIs after mRNA-1273. Among those aged 18 to 29 years, the RIs were 7.58 (2.62 to 21.94) after first dose of mRNA-1273 and 4.02 (1.81 to 8.91) and 9.58 (3.32 to 27.58) after second dose of BNT162b2 and mRNA-1273; the numbers of EC were 3.4 (1.1 to 6.0) and 8.6 (4.4 to 12.6) after first and second dose of mRNA-1273. The main study limitations were that the outcome was not validated through review of clinical records, and there was an absence of information on the length of hospitalization and, thus, the severity of the outcome. CONCLUSIONS: This population-based study of about 3 millions of residents in Italy suggested that mRNA vaccines were associated with myocarditis/pericarditis in the population younger than 40 years. According to our results, increased risk of myocarditis/pericarditis was associated with the second dose of BNT162b2 and both doses of mRNA-1273. The highest risks were observed in males of 12 to 39 years and in males and females 18 to 29 years vaccinated with mRNA-1273. The public health implication of these findings should be considered in the light of the proven mRNA vaccine effectiveness in preventing serious COVID-19 disease and death.


Subject(s)
COVID-19 Vaccines , COVID-19 , Myocarditis , Pericarditis , 2019-nCoV Vaccine mRNA-1273 , Adolescent , Adult , BNT162 Vaccine , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , Child , Female , Humans , Italy/epidemiology , Male , Myocarditis/chemically induced , Myocarditis/epidemiology , Pericarditis/chemically induced , Pericarditis/epidemiology , Product Surveillance, Postmarketing , SARS-CoV-2 , Vaccination/adverse effects , Young Adult
4.
Cancer Med ; 10(21): 7781-7792, 2021 11.
Article in English | MEDLINE | ID: covidwho-1432369

ABSTRACT

BACKGROUND: It is well established that cancer patients infected with SARS-CoV-2 are at particularly elevated risk of adverse outcomes, but the comparison of SARS-CoV-2 infection risk between cancer patients and cancer-free individuals has been poorly investigated on a population-basis. METHODS: A population-based study was thus conducted in Friuli Venezia Giulia region, northeastern Italy, to estimate prevalence and determinants of SARS-CoV-2 infection among cancer patients, as compared to cancer-free individuals, and to evaluate adverse outcomes of SARS-CoV-2 infection. The study included 263,042 individuals tested for SARS-CoV-2 in February-December 2020 with cancer history retrieved through the regional cancer registry. Odds ratios (ORs) of SARS-CoV-2 positivity, with corresponding 95% confidence intervals (CIs), were calculated using multivariable logistic regression models, adjusted for sex and age. Hazard ratios (HRs) adjusted for sex and age for intensive care unit (ICU) admission and all-cause death were estimated using Cox models. RESULTS: Among 26,394 cancer patients tested for SARS-CoV-2, the prevalence of infection was 11.7% versus 16.2% among 236,648 cancer-free individuals, with a corresponding OR = 0.59 (95% CI: 0.57-0.62). The prevalence was much higher (29% in both groups) during the second pandemic wave (October-December 2020). Among cancer patients, age ≥80 years and cancer diagnosis ≥13 months before SARS-CoV-2 testing were the major risk factors of infection. Among 3098 infected cancer patients, the fatality rate was 17.4% versus 15.8% among 23,296 negative ones (HR = 1.63, 95% CI: 1.49-1.78), and versus 5.0% among 38,268 infected cancer-free individuals (HR = 1.23, 95% CI: 1.12-1.36). No significant differences emerged when considering ICU admission risk. CONCLUSION: Albeit cancer patients reported reduced SARS-CoV-2 infection risk, those infected showed higher mortality than uninfected ones and infected cancer-free population. Study findings claim for continuing to protect cancer patients from SARS-CoV-2, without reducing the level of oncologic care.


Subject(s)
COVID-19/epidemiology , Neoplasms/virology , Aged , Aged, 80 and over , COVID-19/mortality , Female , Humans , Intensive Care Units/statistics & numerical data , Italy/epidemiology , Male , Middle Aged , Mortality , Neoplasms/epidemiology , Prevalence , Retrospective Studies
5.
Epidemiol Prev ; 44(5-6 Suppl 2): 226-234, 2020.
Article in English | MEDLINE | ID: covidwho-1068143

ABSTRACT

OBJECTIVES: to describe the clinical and demographical characteristics of COVID-19 infected people in the Friuli Venezia Giulia Region (FVG, Northern Italy). DESIGN: retrospective cohort study with an individual level record linkage procedure of different administrative databases. SETTING AND PARTICIPANTS: the cohort included 3,010 patients residing in FVG who tested positive for COVID-19 between 1 March and 15 May 2020, 2020. Regional hospital admissions and deaths without hospital admissions up to June 1st, 2020 were analysed. Determinants of the probability of a highly severe illness were investigated in terms of hospitalisations or death without hospital admission. MAIN OUTCOME MEASURES: COVID-19 patients were identified from regional epidemiological data warehouse. Demographical and clinical variables such as gender, age, patient's comorbidities, vaccinations, ARBs/sartans prescriptions, and geographical residence variables were collected by linking different databases. Descriptive analyses were performed. Logistic multivariate regressions were used to estimate the probability of hospitalisation or death, whichever came first. Model coefficients and odds ratios (OR) were reported. RESULTS: COVID-19 population in FVG had a mean age of 60 years and 59% were females. The study found that 37% had hypertension while patients with cardiologic diseases, diabetes, and cancer were around 15%; 22% of the cases were residing in retirement homes. Approximately 30% received flu or pneumococcal vaccination and a similar proportion of patients had at least one prescription of ARBs /sartans in the previous 6 months. Statistical models showed a higher probability of a worst course of disease for males, elderly, highly complicated (in terms of resource use) subjects, in the presence of cardiologic diseases, diabetes, and pneumococcal vaccination. People living in retirement homes had a lower probability of hospitalisation/death without hospital admission. The cohort was divided into two groups: COVID-19 patients infected in the territory and infected in retirement homes. Among COVID-19 patients infected in the territory, the probability of hospitalisation/death was higher for males, for older individuals, and for those with comorbidities. Diabetes resulted to be a risk factor (OR 1.79; 95%CI 1.23-2.62), as well as pneumococcal vaccination (OR 1.64; 95%CI: 1.18-2.29), which is a likely proxy of fragile patients with pulmonary disease. The flu vaccination showed a potential protective effect with a 40% lower probability of hospitalisation or death (OR 0.62; 95%CI 0.44-0.85). Among the retirement homes cohort group, a higher probability of a bad course of disease emerged for males and for more complex patients. CONCLUSIONS: the greatest risk of hospitalisation/death as a measure of more severe illness was confirmed for males, elderly, and for individuals with comorbidities. Flu vaccination seemed to have had a protective effect while pneumococcal vaccination likely identified a group of high-risk patients to be actively monitored. For patients infected in the territory, different hospitalisation strategies were implemented by the regional health districts.


Subject(s)
COVID-19/epidemiology , Pandemics , Age Distribution , Aged , Angiotensin II Type 1 Receptor Blockers/pharmacology , Angiotensin Receptor Antagonists/pharmacology , Catchment Area, Health , Comorbidity , Databases, Factual , Female , Homes for the Aged/statistics & numerical data , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Italy/epidemiology , Male , Medical Record Linkage , Middle Aged , Multivariate Analysis , Pneumococcal Vaccines , Residence Characteristics , Retrospective Studies , Sex Distribution , Vaccination/statistics & numerical data
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