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Poloni A, Casalini G, Pozza G, Giacomelli A, Colaneri M, Carrozzo G, Caloni B, Ciubotariu CL, Zacheo M, Rabbione A, Pieruzzi M, Barone F, Passerini M, Ridolfo AL, Rizzardini G, Gori A, Antinori S. Major Bleeding Events in Hospitalized COVID-19 Patients: A Retrospective Observational Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:814. [PMID: 38792997 PMCID: PMC11122796 DOI: 10.3390/medicina60050814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/08/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024]
Abstract
Thromboprophylaxis/anticoagulation treatment is often required in hospitalized COVID-19 patients. We aimed to estimate the prevalence of major bleeding events in hospitalized COVID-19 patients. This was a retrospective observational study including all COVID-19 hospitalized patients ≥18 years of age at one reference center in northern Italy. The crude prevalence (between February 2020-2022) of major bleeding events was estimated as the number of major bleeding episodes divided by patients at risk. Uni- and multivariable Cox models were built to assess factors potentially associated with major bleeding events. Twenty-nine (0.98%) out of 2,945 COVID-19 patients experienced a major bleeding event [prevalence of 0.55% (95%CI 0.37-0.79)], of which five were fatal. Patients who experienced a major bleeding event were older [78 years (72-84 IQR) vs. 67 years (55-78 IQR), p-value < 0.001] and more frequently exposed to anti-aggregating therapy (44.8% vs. 20.0%, p-value 0.002) when compared to those who did not. In the multivariable Cox model, age [per 1 year more AHR 1.05 (CI95% 1.02-1.09)] was independently associated with an increased risk of major bleeding events. A strict monitoring of older hospitalized COVID-19 patients is warranted due to the risk of major bleeding events.
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Affiliation(s)
- Andrea Poloni
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Giacomo Casalini
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Giacomo Pozza
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Andrea Giacomelli
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Marta Colaneri
- II Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (M.C.); (M.P.)
| | - Giorgia Carrozzo
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Beatrice Caloni
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Cosmin Lucian Ciubotariu
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Martina Zacheo
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Andrea Rabbione
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Margherita Pieruzzi
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Federico Barone
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Matteo Passerini
- II Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (M.C.); (M.P.)
| | - Anna Lisa Ridolfo
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
| | - Giuliano Rizzardini
- I Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy;
| | - Andrea Gori
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- II Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (M.C.); (M.P.)
- Centre for Multidisciplinary Research in Health Science (MACH), Università degli Studi di Milano, 20122 Milan, Italy
| | - Spinello Antinori
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20122 Milan, Italy; (A.P.); (G.P.); (G.C.); (B.C.); (C.L.C.); (M.Z.); (A.R.); (M.P.); (F.B.); (A.G.); (S.A.)
- III Infectious Diseases Unit, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy; (G.C.); (A.L.R.)
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Giordani B, Burgio A, Grippo F, Barone A, Eugeni E, Baglio G. The Use of ICD-9-CM Coding to Identify COVID-19 Diagnoses and Determine Risk Factors for 30-Day Death Rate in Hospitalized Patients in Italy: Retrospective Study. JMIR Public Health Surveill 2024; 10:e44062. [PMID: 38393763 PMCID: PMC10906716 DOI: 10.2196/44062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 07/27/2023] [Accepted: 10/31/2023] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND In Italy, it has been difficult to accurately quantify hospital admissions of patients with a COVID-19 diagnosis using the Hospital Information System (HIS), mainly due to the heterogeneity of codes used in the hospital discharge records during different waves of the COVID-19 pandemic. OBJECTIVE The objective of this study was to define a specific combination of codes to identify the COVID-19 hospitalizations within the HIS and to investigate the risk factors associated with mortality due to COVID-19 among patients admitted to Italian hospitals in 2020. METHODS A retrospective study was conducted using the hospital discharge records, provided by more than 1300 public and private Italian hospitals. Inpatient hospitalizations were detected by implementing an algorithm based on specific International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code combinations. Hospitalizations were analyzed by different clinical presentations associated with COVID-19 diagnoses. In addition, 2 multivariable Cox regression models were performed among patients hospitalized "due to COVID-19" from January 1 to December 31, 2020, to investigate potential risk factors associated with 30-day death and the temporal changes over the course of the pandemic; in particular, the 30-day death rates during the first and the second waves were analyzed across 3 main geographical areas (North, Center, and South and Islands) and by discharge wards (ordinary and intensive care). RESULTS We identified a total of 325,810 hospitalizations with COVID-19-related diagnosis codes. Among these, 73.4% (n=239,114) were classified as "due to COVID-19," 14.5% (n=47,416) as "SARS-CoV-2 positive, but not due to COVID-19," and 12.1% (n=39,280) as "suspected COVID-19" hospitalizations. The cohort of patients hospitalized "due to COVID-19" included 205,048 patients, with a median age of 72 years and a higher prevalence of male patients (n=124,181, 60.6%). The overall 30-day death rate among hospitalized patients due to COVID-19 was 9.9 per 1000 person-days. Mortality was lower for women (hazard ratio [HR]=0.83; P<.001) and for patients coming from high migration pressure countries, especially Northern Africans (HR=0.65; P<.001) and Central and Eastern Europeans (HR=0.66; P<.001), compared to patients coming from Italy and high-income countries. In the southern regions and the Islands, mortality was higher compared to the northern regions (HR=1.17; P<.001), especially during the second wave of COVID-19 among patients with a transfer to intensive care units (HR=2.52; P<.001). CONCLUSIONS To our knowledge, the algorithm is the first attempt to define, at a national level, selection criteria for identifying COVID-19 hospitalizations within the HIS. The implemented algorithm will be used to monitor the pandemic over time, and the patients selected in 2020 will be followed up in the next years to assess the long-term effects of COVID-19.
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Affiliation(s)
- Barbara Giordani
- Research, National Outcomes Evaluation Programme (PNE) and International Relations Unit, Italian National Agency for Regional Healthcare Services, Rome, Italy
| | | | | | - Alessandra Barone
- Research, National Outcomes Evaluation Programme (PNE) and International Relations Unit, Italian National Agency for Regional Healthcare Services, Rome, Italy
| | - Erica Eugeni
- Research, National Outcomes Evaluation Programme (PNE) and International Relations Unit, Italian National Agency for Regional Healthcare Services, Rome, Italy
| | - Giovanni Baglio
- Research, National Outcomes Evaluation Programme (PNE) and International Relations Unit, Italian National Agency for Regional Healthcare Services, Rome, Italy
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Pérez-Muto V, Bertran MJ, Barón-Miras L, Torá-Rocamora I, Gualda-Gea JJ, Vilella A. Inequalities in health outcomes of SARS-CoV-2 infection by migration status in Barcelona, Spain. Front Public Health 2024; 11:1297025. [PMID: 38259790 PMCID: PMC10800692 DOI: 10.3389/fpubh.2023.1297025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/29/2023] [Indexed: 01/24/2024] Open
Abstract
Background Migrants are a vulnerable population at risk of worse health outcomes due to legal status, language barriers, and socioeconomic and cultural factors. Considering the conflicting literature on the subject, it is important to further explore the extent and nature of these inequalities. Objective The aim of this study is to compare health outcomes associated with SARS-CoV-2 infection between Spanish native and migrant population living in Barcelona. Methods Observational retrospective cohort study including all adult cases of SARS-CoV-2 infection who visited a tertiary hospital in Barcelona between the 1st March 2020 and the 31st March 2022. We established the following five health outcomes: the presence of symptomatology, hospitalisation, intensive care unit admission, use of mechanical ventilation, and in-hospital 30-day mortality (IHM). Using Spanish natives as a reference, Odds Ratios (OR) with 95% confidence interval (95%CI) were calculated for migrants by multivariate logistic regression and adjusted by sociodemographic and clinical factors. Results Of 11,589 patients (46.8% females), 3,914 were born outside of Spain, although 34.8% of them had legal citizenship. Most migrants were born in the Americas Region (20.3%), followed by other countries in Europe (17.2%). Migrants were younger than natives (median 43 [IQR 33-55] years vs. 65 [49-78] years) and had a higher socioeconomic privation index, less comorbidities, and fewer vaccine doses. Adjusted models showed migrants were more likely to report SARS-CoV-2 symptomatology with an adjusted OR of 1.36 (95%CI 1.20-1.54), and more likely to be hospitalised (OR 1.11 [IC95% 1.00-1.23], p < 0.05), but less likely to experience IHM (OR 0.67 [IC95% 0.47-0.93], p < 0.05). Conclusion Characteristics of migrant and native population differ greatly, which could be translated into different needs and health priorities. Native population had higher odds of IHM, but migrants were more likely to present to care symptomatic and to be hospitalised. This could suggest disparities in healthcare access for migrant population. More research on health disparities beyond SARS-CoV-2 in migrant populations is necessary to identify gaps in healthcare access and health literacy.
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Affiliation(s)
- Valeria Pérez-Muto
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Maria Jesús Bertran
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Lourdes Barón-Miras
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Isabel Torá-Rocamora
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Juan José Gualda-Gea
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Anna Vilella
- Department of Preventive Medicine and Epidemiology, Clinical Institute of Medicine and Dermatology (ICMiD), Hospital Clínic, Barcelona, Spain
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
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Gili A, Caminiti M, Lupi C, Zichichi S, Minicucci I, Pezzotti P, Primieri C, Bietta C, Stracci F. Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6521. [PMID: 37569061 PMCID: PMC10418672 DOI: 10.3390/ijerph20156521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/15/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND There is evidence that non-Italians presented higher incidence of infection and worse health outcomes if compared to native populations in the COVID-19 pandemic. The aim of the study was to compare Italian- and non-Italian-born health outcomes, accounting for socio-economic levels. METHODS We analyzed data relative to 906,463 people in Umbria (Italy) from 21 February 2020 to 31 May 2021. We considered the National Deprivation Index, the Urban-Rural Municipalities Index and the Human Development Index (HDI) of the country of birth. We used a multilevel logistic regression model to explore the influence of these factors on SARS-CoV-2 infection and hospitalization rates. Diagnosis in the 48 h preceding admission was an indicator of late diagnosis among hospitalized cases. RESULTS Overall, 54,448 persons tested positive (6%), and 9.7% of them were hospitalized. The risk of hospital admission was higher among non-Italians and was inversely related to the HDI of the country of birth. A diagnosis within 48 h before hospitalization was more frequent among non-Italians and correlated to the HDI level. CONCLUSIONS COVID-19 had unequal health outcomes among the population in Umbria. Reduced access to primary care services in the non-Italian group could explain our findings. Policies on immigrants' access to primary healthcare need to be improved.
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Affiliation(s)
- Alessio Gili
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
| | - Marta Caminiti
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
| | - Chiara Lupi
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
| | - Salvatore Zichichi
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
| | - Ilaria Minicucci
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
| | - Patrizio Pezzotti
- Department of Infectious Diseases, Istituto Superiore di Sanità, 00162 Rome, Italy
| | - Chiara Primieri
- Epidemiology Unit, Department of Preventive Medicine, Local Health Unit 1, 06126 Perugia, Italy
| | - Carla Bietta
- Epidemiology Unit, Department of Preventive Medicine, Local Health Unit 1, 06126 Perugia, Italy
| | - Fabrizio Stracci
- Public Health Section, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
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Giacomelli A, Ridolfo AL, Oreni L, Rizzardini G, Antinori S. Trend in the proportion of subjects with SARS-CoV-2 infection without COVID-19 specific symptoms among patients admitted to a COVID-19 referral hospital. Eur J Intern Med 2023; 109:120-122. [PMID: 36481096 PMCID: PMC9721278 DOI: 10.1016/j.ejim.2022.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Affiliation(s)
- Andrea Giacomelli
- III Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy.
| | - Anna Lisa Ridolfo
- III Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy
| | - Letizia Oreni
- III Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy
| | - Giuliano Rizzardini
- I Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy
| | - Spinello Antinori
- III Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Italy
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Giacomelli A, Righini E, Micheli V, Pinoli P, Bernasconi A, Rizzo A, Oreni L, Ridolfo AL, Antinori S, Ceri S, Rizzardini G. SARS-CoV-2 viremia and COVID-19 mortality: A prospective observational study. PLoS One 2023; 18:e0281052. [PMID: 37115764 PMCID: PMC10146509 DOI: 10.1371/journal.pone.0281052] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/16/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND SARS-CoV-2 viremia has been found to be a potential prognostic factor in patients hospitalized for COVID-19. OBJECTIVE We aimed to assess the association between SARS-CoV-2 viremia and mortality in COVID-19 hospitalized patients during different epidemic periods. METHODS A prospective COVID-19 registry was queried to extract all COVID-19 patients with an available SARS-CoV-2 viremia performed at hospital admission between March 2020 and January 2022. SARS-CoV-2 viremia was assessed by means of GeneFinderTM COVID-19 Plus RealAmp Kit assay and SARS-CoV-2 ELITe MGB® Kit using <45 cycle threshold to define positivity. Uni and multivariable logistic regression model were built to assess the association between SARS-CoV-2 positive viremia and death. RESULTS Four hundred and forty-five out of 2,822 COVID-19 patients had an available SARS-CoV-2 viremia, prevalently males (64.9%) with a median age of 65 years (IQR 55-75). Patients with a positive SARS-CoV-2 viremia (86/445; 19.3%) more frequently presented with a severe or critical disease (67.4% vs 57.1%) when compared to those with a negative SARS-CoV-2 viremia. Deceased subjects (88/445; 19.8%) were older [75 (IQR 68-82) vs 63 (IQR 54-72)] and showed more frequently a detectable SARS-CoV-2 viremia at admission (60.2% vs 22.7%) when compared to survivors. In univariable analysis a positive SARS-CoV-2 viremia was associated with a higher odd of death [OR 5.16 (95% CI 3.15-8.45)] which was confirmed in the multivariable analysis adjusted for age, biological sex and, disease severity [AOR 6.48 (95% CI 4.05-10.45)]. The association between positive SARS-CoV-2 viremia and death was consistent in the period 1 February 2021-31 January 2022 [AOR 5.86 (95% CI 3.43-10.16)] and in subgroup analysis according to disease severity: mild/moderate [AOR 6.45 (95% CI 2.84-15.17)] and severe/critical COVID-19 patients [AOR 6.98 (95% CI 3.68-13.66)]. CONCLUSIONS SARS-CoV-2 viremia resulted associated to COVID-19 mortality and should be considered in the initial assessment of COVID-19 hospitalized patients.
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Affiliation(s)
| | - Elena Righini
- Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano, Italia
| | - Valeria Micheli
- Laboratory of Clinical Microbiology, Virology and Bioemergencies, ASST-FBF-Sacco, Milan, Italy
| | - Pietro Pinoli
- Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano, Italia
| | - Anna Bernasconi
- Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano, Italia
| | - Alberto Rizzo
- Laboratory of Clinical Microbiology, Virology and Bioemergencies, ASST-FBF-Sacco, Milan, Italy
| | - Letizia Oreni
- Dipartimento di Malattie Infettive, ASST-FBF-Sacco, Milano, Italia
| | | | - Spinello Antinori
- Dipartimento di Malattie Infettive, ASST-FBF-Sacco, Milano, Italia
- Dipartimento di Scienze Biomediche e Cliniche Luigi Sacco, Università degli Studi di Milano, Milano, Italia
| | - Stefano Ceri
- Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano, Italia
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Differences in the incidence and clinical outcomes of SARS-CoV-2 infection between Italian and non-Italian nationals using routine data. Public Health 2022; 211:136-143. [PMID: 36113199 PMCID: PMC9365864 DOI: 10.1016/j.puhe.2022.07.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 11/23/2022]
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SARS-CoV-2 Infection and Vaccination Coverage among Fragile Populations in a Local Health Area of Northern Italy. LIFE (BASEL, SWITZERLAND) 2022; 12:life12071009. [PMID: 35888096 PMCID: PMC9316873 DOI: 10.3390/life12071009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/08/2022] [Accepted: 07/05/2022] [Indexed: 11/17/2022]
Abstract
Italy was dramatically hit by the COVID-19 pandemic, and the province of Brescia was one of the epicenters of the outbreak. Furthermore, Brescia has one of the highest incidences of people living with HIV (PLWH) and a substantial presence of migrants. We conducted a retrospective cohort study involving all citizens connected to the Brescia Health Protection Agency, assessing the SARS-CoV-2 burden, COVID-19 prevalence, and vaccination coverage. A total of 1,004,210 persons were included, 3817 PLWH and 134,492 foreigners. SARS-CoV-2 infection, hospitalizations and death were more frequent among Italians than foreigners. SARS-CoV-2 infections and deaths were more frequent in HIV-uninfected people than in PLWH. PLWH and foreigners were less likely to have a SARS-CoV-2 diagnosis compared to HIV-negative patients. Migrants were more likely to be hospitalized but had a lower risk of death compared to HIV-negative patients. Regarding vaccination, 89.1% of the population received at least one dose of vaccine, while 70.4% of the Italian citizens and 36.3% of the foreigner subjects received three doses of vaccine. Foreigners showed a lower risk of being diagnosed with SARS-CoV-2 but a higher risk of complications. HIV infection was not associated with a higher risk of SARS-CoV-2 severe manifestations compared to the general population. COVID-19 vaccine hesitancy was not different between PLWH and HIV uninfected people, but foreigners were more hesitant.
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Ghaznavi C, Eguchi A, Tanoue Y, Yoneoka D, Kawashima T, Suzuki M, Hashizume M, Nomura S. Pre- and post-COVID-19 all-cause mortality of Japanese citizens versus foreign residents living in Japan, 2015–2021. SSM Popul Health 2022; 18:101114. [PMID: 35601222 PMCID: PMC9118913 DOI: 10.1016/j.ssmph.2022.101114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 04/25/2022] [Accepted: 04/29/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
- Cyrus Ghaznavi
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Medical Education Program, Washington University School of Medicine in St Louis, Saint Louis, USA
| | - Akifumi Eguchi
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
| | - Yuta Tanoue
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Institute for Business and Finance, Waseda University, Tokyo, Japan
| | - Daisuke Yoneoka
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Tokyo Foundation for Policy Research, Tokyo, Japan
- Infectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Takayuki Kawashima
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan
| | - Motoi Suzuki
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shuhei Nomura
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Tokyo Foundation for Policy Research, Tokyo, Japan
- Corresponding author. Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
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