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2. Baseline plasma SARS-CoV-2 RNA detection predicts an adverse COVID-19 evolution in moderate to severe hospitalized patients

Author

Rizzi, M., Patrucco, F., Trevisan, M., Faolotto, G., Mercandino, A., Strola, C., Ravanini, P., Costanzo, M., Tonello, S., Matino, E., Casciaro, G. F., Croce, A., Rizzi, E., Zecca, E., Pedrinelli, A., Vassia, V., Landi, R., Bellan, M., Castello, L. M., Minisini, R., Mallela, V. R., Avanzi, G. C., Pirisi, M., Lilleri, D., Solidoro, P., Gavelli, F., and Sainaghi, P. P.

Subjects
General Medicine
Abstract

SARS-CoV-2 is a single-stranded RNA virus, known to be the causative agent of COVID-19. As the resulting disease shows a very heterogeneous range of clinical manifestations, the identification of early biomarkers allowing patients stratification according to the expected disease severity is still an unmet clinical need.In this observational prospective cohort study, 137 consecutive patients, testing positive for SARS-CoV-2 infection by nasopharyngeal swab RT-PCR or antigenic test, were enrolled to evaluate their plasma viral load at the time of hospitalization.Even if all of them had a molecular diagnosis of COVID-19, only 29 patients showed a detectable plasma SARS-CoV-2 RNAemia. Such viremic patients also showed other clinical and laboratory finding alterations (increased troponin I, IL-6, RDW-CV, and creatinine levels along with decreased platelet count and glomerular filtration rate). A plasma detectable RNA viral load predicted in hospital death or ICU admission with an odds ratio of 3.53 (CI: 1.44-8.64, P=0.0058), while the lack of a detectable viral load was associated with a faster recovery, with an odds ratio of 4.06 (CI: 1.72-9.59, P=0.0014). These findings were confirmed in multivariate models including age, sex and baseline National Early Warning Score 2 and arterial oxygen tension over inspired oxygen fraction ratio.Our data thus suggest that plasma viral RNA load at the time of hospital admission could represent a useful independent biomarker allowing early patients' stratification according to the expected disease evolution, and driving clinical decisions tailored on the specific needs of the individual patient.

Published
2022
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3. Simple parameters from complete blood count predict in-hospital mortality in covid-19

Author

Bellan, M., Azzolina, D., Hayden, E., Gaidano, G., Pirisi, M., Acquaviva, A., Aimaretti, G., Valletti, P. A., Angilletta, R., Arioli, R., Avanzi, G. C., Avino, G., Balbo, P. E., Baldon, G., Baorda, F., Barbero, E., Baricich, A., Barini, M., Barone-Adesi, F., Battistini, S., Beltrame, M., Bertoli, M., Bertolin, S., Bertolotti, M., Betti, M., Bobbio, F., Boffano, P., Boglione, L., Borre, S., Brucoli, M., Calzaducca, E., Cammarata, E., Cantaluppi, V., Cantello, R., Capponi, A., Carriero, A., Casciaro, G. F., Castello, L. M., Ceruti, F., Chichino, G., Chirico, E., Cisari, C., Cittone, M. G., Colombo, C., Comi, C., Croce, E., Daffara, T., Danna, P., Corte, F. D., de Vecchi, S., Dianzani, U., Benedetto, D. D., Esposto, E., Faggiano, F., Falaschi, Z., Ferrante, D., Ferrero, A., Gagliardi, I., Galbiati, A., Gallo, S., Garavelli, P. L., Gardino, C. A., Garzaro, M., Gastaldello, M. L., Gavelli, F., Gennari, A., Giacomini, G. M., Giacone, I., Via, V. G., Giolitti, F., Gironi, L. C., Gramaglia, C., Grisafi, L., Inserra, I., Invernizzi, M., Krengli, M., Labella, E., Landi, I. C., Landi, R., Leone, I., Lio, V., Lorenzini, L., Maconi, A., Malerba, M., Manfredi, G. F., Martelli, M., Marzari, L., Marzullo, P., Mennuni, M., Montabone, C., Morosini, U., Mussa, M., Nerici, I., Nuzzo, A., Olivieri, C., Padelli, S. A., Panella, M., Parisini, A., Pasche, A., Patrucco, F., Patti, G., Pau, A., Pedrinelli, A. R., Percivale, I., Ragazzoni, L., Re, R., Rigamonti, C., Rizzi, E., Rognoni, A., Roveta, A., Salamina, L., Santagostino, M., Saraceno, M., Savoia, P., Sciarra, M., Schimmenti, A., Scotti, L., Spinoni, E., Smirne, C., Tarantino, V., Tillio, P. A., Tonello, S., Vaschetto, R., Vassia, V., Zagaria, D., Zavattaro, E., Zeppegno, P., Zottarelli, F., Sainaghi, P. P., Aiosa, G., Airoldi, A., Barco, A., Bargiacchi, O., Bazzano, S., Berni, P., Bianchi, B., Bianco, S., Biffi, S., Binda, V., Bolgeo, T., Bolla, C., Bonato, V., Bonizzoni, G., Bragantini, A., Brustia, D., Bullara, V., Burlone, M., Brustia, F., Caccia, S., Calareso, A., Cammarota, G., Cancelliere, L., Carbone, R., Cassinari, A., Ceriani, E., Cena, T., Clivati, E., Collimedaglia, L., Colombatto, A., Cornella, C., Costanzo, M., Croce, A., de Benedittis, C., Delorenzi, S., Dionisio, R., Donato, P., Esposito, M., Fangazio, S., Feggi, A., Ferrillo, S., Foci, V., Fra, G. P., Gaggino, C., Gambaro, E., Gattoni, E., Gattoni, L., Giacchero, F., Gianfreda, R., Giubertoni, A., Grecu, L., Grossi, F., Guglielmetti, G., Guido, S., Iannantuoni, G., Ingrao, S., Jona, A., Lazzarich, E., Lissandrin, R., Maduli, E., Magne, F., Mantia, E., Marangon, D., Massara, M., Matino, E., Mauri, M. G., Menegatti, M., Moglia, R., Molinari, R., Morelli, S., Morlino, P., Naldi, P., Nebbiolo, C., Omodeo, P., Palmieri, D., Panero, A., Parodi, M., Pedrazzoli, R., Pelazza, C., Penpa, S., Perucca, R., Pirovano, A., Pittau, S., Pochetti, P., Poletti, F., Polla, B., Prandi, P., Prodam, F., Prosperini, P., Puma, A., Quaglia, M., Raie, A., Rapetti, R., Ravera, S., Re, A., Reale, M., Rossati, A., Rossi, M., Rossi, P., Rostagno, R., Salomoni, G., Sama, M. T., Sarchi, E., Sarcoli, M., Sarda, C., Sguazzotti, I., Soddu, D., Sola, D., Stobbione, P., Todoerti, M., Vallese, G. C., Varrasi, C., Veia, A., Vignazia, G. L., Zanotti, I., Zecca, E., Zichittella, D., Zisa, G., and Zoppis, E.

Subjects
Adult, Male, medicine.medical_specialty, Medicine (General), Multivariate analysis, Article Subject, Clinical Decision Rules, COVID-19, Prognosis, Blood Cell Count, Hospital Mortality, Severity of Illness Index, Clinical Biochemistry, Asymptomatic, Severity of Illness Index, NO, R5-920, Internal medicine, Clinical Decision Rules, Severity of illness, Genetics, 80 and over, Medicine, Humans, Hospital Mortality, Molecular Biology, Aged, Retrospective Studies, Aged, 80 and over, medicine.diagnostic_test, business.industry, Biochemistry (medical), Complete blood count, COVID-19, Retrospective cohort study, Red blood cell distribution width, General Medicine, Odds ratio, Middle Aged, Prognosis, Female, Italy, Multivariate Analysis, Blood Cell Count, Cohort, medicine.symptom, business, Research Article
Abstract

Introduction. The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. Materials and Methods. In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients ( F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded. Results. At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) ( χ 2 10.4; p < 0.001 ), neutrophil-to-lymphocyte (NL) ratio ( χ 2 7.6; p = 0.006 ), and platelet count ( χ 2 5.39; p = 0.02 ), along with age ( χ 2 87.6; p < 0.001 ) and gender ( χ 2 17.3; p < 0.001 ), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality OR = 3.40 (2.40-4.82), while the OR for a RDW > 13.7 % was 4.09 (2.87-5.83); a platelet count > 166,000 /μL was, conversely, protective (OR: 0.45 (0.32-0.63)). Conclusion. Our findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment.

Published
2021

4. Microzonazione sismica di livello 3: il caso del centro abitato di Fivizzano (MS)

Author

Baglione, M, D’Intinosante, V, Fabbroni, P, Nistri, L, Vannini, F, D'Amato Avanzi, G, Puccinelli, A, Naso, G, Cavuoto, G, Di Fiore, V, Pelosi, N, Punzo, M, Tarallo, D, Moscatelli, M, Simionato, M, Pileggi, D, Avalle, A, Pagliaroli, A, Vessia, G, Piscitelli, S, Perrone, A, Bellanova, J, Calamita, G, Ginesi, G, Bramerini, F, Castenetto, Galli, P, Pallone, F, and Albarello, D

Subjects
Microzonazione sismica, rischio sismico, terremoto, Garfagnana e Lunigiana (LU e MS), rischio sismico, terremoto, Microzonazione sismica, Garfagnana e Lunigiana (LU e MS)
Published
2019

7. Effects of the type of inventory on landslides susceptibility estimated by data-driven methods

Author

Bordoni, M., Persichillo, M. G., Meisina, C., Bartelletti, C., Giannecchini, R., D’Amato Avanzi, G., Galanti, Y., Barsanti, M., Cevasco, A., Brandolini, P., Cavalli, M., Crema, S., and Galve, J. P.

Subjects
data-driven methods, landslide inventories, landslide inventories, landslide susceptibility analysis, data-driven methods, landslide susceptibility analysis
Published
2018

9. Integrating sediment connectivity into the assessment of landslides susceptibility for road network

Author

Bordoni M., Persichillo M. G., Cavalli M., Crema S., Meisina C., Bartelletti C., Galanti Y., Barsanti M., Giannecchini R., and D'Amato Avanzi G.

Subjects
Susceptibility, Shallow landslides, data-driven models, Sediment connectivity, Roads
Abstract

Landslides provoke significant direct and indirect economic losses to infrastructures, in particular along road networks. Thus, it is fundamental identifying the route sectors that could be affected by landslides, in order to reduce the risk level for the population and the economic cost of road damaging. Moreover, several researches conducted in different contexts stressed that the exposure of road networks to slope instabilities could increase because of ongoing climate change and as a consequence of growing economy in several countries. For these reasons, the present work aims to develop and test a data-driven model, based on Genetic Algorithm Method (GAM), for the identification of the sectors road network sectors that are susceptible to be affected by landslides triggered upstream the infrastructure. This work quantifies, also, the impact of sediment connectivity on the susceptibility evaluation in the case studies. The study area corresponds to the north-eastern area of Oltrepò Pavese (northern Italy), a zone very prone to shallow landslides causing severe damages to the road networks. This work shows that the effectiveness of the model in the identification of the most susceptible routes increases including sediment connectivity in the predisposing factors. This parameter, indeed, characterizes runout and the travel distance of a slope instability, improving the ability in identifying the road sectors hit by landslides. The modeled susceptible roads are, then, mapped correctly by the methodology, furnishing an important tool for land use planning and for implementing tools able to reduce the risk for the infrastructures.

Published
2018

11. Therapeutic Plasma Adsorption. A Review

Author

Avanzi G, F. Cepparrone, Lombardo R, and Di Pietro G

Subjects
New horizons, medicine.medical_treatment, 030232 urology & nephrology, Biomedical Engineering, Medicine (miscellaneous), Bioengineering, 030204 cardiovascular system & hematology, law.invention, Biomaterials, 03 medical and health sciences, 0302 clinical medicine, Adsorption, law, medicine, Humans, Filtration, Chromatography, Chemistry, Therapeutic plasmapheresis, Plasmapheresis, General Medicine, Clinical Practice, Dextran sulphate, Absorption (chemistry)
Abstract

Alternative techniques to the traditional plasma exchange are emerging in clinical practice for the treatment of different pathological conditions, particularly autoimmune diseases. Filtration is a technique used to separate blood cells from plasma, which may be further “treated” with other filters or columns. The case for cascade filtration and absorption onto a column is becoming stronger and stronger and the patient population is increasing. Alongside the “historical” techniques of adsorption onto a column, new systems (pairs of self-regenerating columns) and new products (columns with dextran sulphate, tryptophane, anti-human lipoprotein antibodies) are now available. Protein A in particular seems to open up new horizons; in therapeutic plasmapheresis, there are two versions, one Swedish and the other American, based on different theoretical premises and obtaining different results, with different biocompatibilities but good clinical results.

Published
1993
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37. Plasma exchange in multiple sclerosis

Author

Biancamaria Guarnieri, Capparelli, R., Fratiglioni, L., Inzitari, D., Sità, D., Amaducci, L., Avanzi, G., Biani, D., Franco, C., and Lombardo, R.

Subjects
Adult, Male, Clinical Trials as Topic, Multiple Sclerosis, Plasma Exchange, Immunoglobulin G, Azathioprine, Humans, Female, Plasmapheresis, Middle Aged, Combined Modality Therapy
Published
1985

38. Bone marrow transplantation for leukemia in Genova

Author

Marmont, A. M., Bacigalupo, A., Lint, M. T., Frassoni, F., Marina Podestà, Bistolfi, F., Vitale, V., Ricci, G., Siracusa, G., Marziano, G., Scielzo, G., Tomassini, E., Reali, G., Adami, R., Strada, P., Barbanti, M., Solda, A., Adami, G. F., Dagna Bricarelli, F., Veneziano, G., Grazi, G., Soro, O., Melioli, G., Pedulla, D., Lercari, G., Carella, A., Damasio, E., Piaggio, G., Raffo, M. R., Risso, M., Cerri, R., Santini, G., Vimercati, R., Rossi, E., Giordano, D., Repetto, M., Siccardi, M., Queirolo, M. A., and Avanzi, G.

Subjects
Adult, Male, Leukemia, Adolescent, Humans, Antineoplastic Agents, Female, Middle Aged, Child, Bone Marrow Transplantation
Published
1983

45. Interleukin 3-dependent proliferation of the human MO-7e cell line is supported by discrete activation of late G1 genes

Author

Avanzi, G. C., Bosia, A., Brizzi, M. F., Dario Ghigo, Pegoraro, L., and Porcu, P.

Subjects
Gene Expression Regulation, G1 Phase, Genes, myc, Humans, Interleukin-3, DNA, RNA, Messenger, Ornithine Decarboxylase, Cell Division, Cell Line
Abstract

The hemopoietic growth factor interleukin 3 (IL-3) supports the survival and proliferation of multipotent and committed progenitor cells in vitro. To elucidate the molecular mechanisms triggered by IL-3 we studied the expression of cell cycle-related genes in a recently established human IL-3-dependent clone (M-07e). No changes in the level of expression of early (c-myc), mid (ornithine decarboxylase), or mid-late G1 (p53, c-myb) cell cycle genes were detected after restoration of IL-3 in deprived cells. The fact that only late G1-S-phase genes [proliferating cell nuclear antigen (PCNA) thymidine kinase (TK), histone H3] are modulated by IL-3 suggests that this factor may control human cell proliferation by acting at the G1-S boundary.

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