Search

Your search keyword '"de Francesco, D."' showing total 117 results
Start Over Author "de Francesco, D."
117 results on '"de Francesco, D."'

1. High Cellular Monocyte Activation in People Living With Human Immunodeficiency Virus on Combination Antiretroviral Therapy and Lifestyle-Matched Controls Is Associated With Greater Inflammation in Cerebrospinal Fluid

Author

Booiman, Thijs, Wit, Ferdinand W., Maurer, Irma, De Francesco, Davide, Sabin, Caroline A., Harskamp, Agnes M., Prins, Maria, Garagnani, Paolo, Pirazzini, Chiara, Franceschi, Claudio, Fuchs, Dietmar, Gisslén, Magnus, Winston, Alan, Reiss, Peter, Kootstra, Neeltje A., Reiss, P., Wit, F. W. N. M., Schouten, J., Kooij, K. W., van Zoest, R. A., Elsenga, B. C., Janssen, F. R., Heidenrijk, M., Zikkenheiner, W., van der Valk, M., Kootstra, N. A., Booiman, T., Harskamp-Holwerda, A. M., Boeser-Nunnink, B., Maurer, I., Mangas Ruiz, M. M., Girigorie, A. F., Villaudy, J., Frankin, E., Pasternak, A., Berkhout, B., van der Kuyl, T., Portegies, P., Schmand, B. A., Geurtsen, G. J., ter Stege, J. A., Klein Twennaar, M., Majoie, C. B. L. M., Caan, M. W. A., Su, T., Weijer, K., Bisschop, P. H. L. T., Kalsbeek, A., Wezel, M., Visser, I., Ruhé, H. G., Franceschi, C., Garagnani, P., Pirazzini, C., Capri, M., Dall’Olio, F., Chiricolo, M., Salvioli, S., Hoeijmakers, J., Pothof, J., Prins, M., Martens, M., Moll, S., Berkel, J., Totté, M., Kovalev, S., Gisslén, M., Fuchs, D., Zetterberg, H., Winston, A., Underwood, J., McDonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Doyle, N., Kingsley, C., Sharp, D. J., Leech, R., Cole, J. H., Zaheri, S., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Burger, D., de Graaff-Teulen, M., Guaraldi, G., Bürkle, A., Sindlinger, T., Moreno-Villanueva, M., Keller, A., Sabin, C., de Francesco, D., Libert, C., and Dewaele, S.

Published
2017
Full Text
View/download PDF

2. 1712P Safety and efficacy of influenza and pneumococcal vaccines in cancer patients on active therapy: A prospective study

Author

La Verde, N.M., primary, Dalu, D., additional, Ridolfo, A.L., additional, Cona, M.S., additional, De Francesco, D., additional, Riva, A., additional, Antinori, S., additional, Rota, S., additional, Tricella, C., additional, Oldani, S., additional, Fasola, C., additional, Ferrario, S., additional, Gambaro, A., additional, Filipazzi, V., additional, Chizzoniti, D., additional, Cattaneo, M., additional, Di Carlo, F., additional, Stocchetti, B. Lombardi, additional, Tosca, N., additional, and Galli, M., additional

Published
2021
Full Text
View/download PDF

3. Do people living with HIV experience greater age advancement than their HIV-negative counterparts?

Author

De Francesco, Davide, Wit, Ferdinand W., Burkle, Alexander, Oehlke, Sebastian, Kootstra, Neeltje A., Winston, Alan, Franceschi, Claudio, Garagnani, Paolo, Pirazzini, Chiara, Libert, Claude, Grune, Tilman, Weber, Daniela, Jansen, Eugene H. J. M., Sabin, Caroline A., Reiss, Peter, Reiss, P., Winston, A., Wit, F. W., Prins, M., van der Loeff, M. F. Schim, Schouten, J., Schmand, B., Geurtsen, G. J., Sharp, D. J., Caan, M. W. A., Majoie, C., Villaudy, J., Berkhout, B., Kootstra, N. A., Gisslen, M., Pasternak, A., Sabin, C. A., Guaraldi, G., Burkle, A., Libert, C., Franceschi, C., Kalsbeek, A., Fliers, E., Hoeijmakers, J., Pothof, J., van der Valk, M., Bisschop, P. H., Portegies, P., Zaheri, S., Burger, D., Cole, J. H., Biirkle, A., Zikkenheiner, W., Janssen, F. R., Underwood, J., Kooij, K. W., van Zoest, R. A., Doyle, N., van der Loeff, M. Schim, Schmand, B. A., Verheij, E., Verboeket, S. O., Elsenga, B. C., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Tembo, L., McDonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Kingsley, C., Norsworthy, P., Mullaney, S., Kruijer, T., del Grande, L., Olthof, V, Visser, G. R., May, L., Verbraak, F., Demirkaya, N., Visser, I, Majoie, C. B. L. M., Su, T., Leech, R., Huguet, J., Frankin, E., van der Kuyl, A., Weijer, K., Siteur-Van Rijnstra, E., Harskamp-Holwerda, A. M., Maurer, I, Ruiz, M. M. Mangas, Girigorie, A. F., Boeser-Nunnink, B., Kals-Beek, A., Bisschop, P. H. L. T., de Graaff-Teulen, M., Dewaele, S., Garagnani, P., Pirazzini, C., Capri, M., Dall'Olio, F., Chiricolo, M., Salvioli, S., Fuchs, D., Zetterberg, H., Weber, D., Grune, T., Jansen, E. H. J. M., De Francesco, D., Sindlinger, T., Oehlke, S., Global Health, AII - Infectious diseases, APH - Aging & Later Life, Experimental Immunology, ANS - Neurodegeneration, AMS - Restoration & Development, Medical Psychology, and APH - Mental Health

Subjects
Male, 0301 basic medicine, CYTOMEGALOVIRUS, HIV Infections, DISEASE, 0302 clinical medicine, Biomarkers of aging, Medicine and Health Sciences, Immunology and Allergy, 030212 general & internal medicine, the Co-morBidity in Relation to AIDS (COBRA) Collaboration, POPULATION, Immunodeficiency, education.field_of_study, premature aging, virus diseases, 11 Medical And Health Sciences, Middle Aged, Hepatitis B, SOUTH-AFRICA, Infectious Diseases, Anti-Retroviral Agents, Cohort, Female, Life Sciences & Biomedicine, medicine.drug, Adult, Premature aging, medicine.medical_specialty, BIOMARKERS, Immunology, Population, biomarkers of aging, 17 Psychology And Cognitive Sciences, 03 medical and health sciences, Acquired immunodeficiency syndrome (AIDS), Virology, ddc:570, Internal medicine, medicine, Humans, accelerated aging, education, Aged, accelerated aging, aging, biological age, biomarkers of aging, HIV, premature aging, Science & Technology, business.industry, aging, Biology and Life Sciences, HIV, 06 Biological Sciences, medicine.disease, COMORBIDITIES, biological age, INFECTED INDIVIDUALS, IMMUNOGLOBULIN-G ANTIBODY, PROTEASE INHIBITORS, Cross-Sectional Studies, 030104 developmental biology, RISK-FACTORS, business, Saquinavir
Abstract

Objectives: Despite successful antiretroviral (ARV) therapy, people living with HIV (PLWH) may show signs of premature/accentuated aging. We compared established biomarkers of aging in PLWH, appropriately-chosen HIV-negative individuals, and blood donors, and explored factors associated with biological age advancement.Design: Cross-sectional analysis of 134 PLWH on suppressive ARV therapy, 79 lifestyle-comparable HIV-negative controls aged ≥45 years from the Co-morBidity in Relation to AIDS (COBRA) cohort, and 35 age-matched blood donors (BD).Methods: Biological age was estimated using a validated algorithm based on ten biomarkers. Associations between ‘age advancement’ (biological minus chronological age) and HIV status/parameters, lifestyle, cytomegalovirus (CMV), hepatitis B (HBV) and hepatitis C virus (HCV) infections were investigated using linear regression.Results: The average (95% CI) age advancement was greater in both HIV-positive [13.2 (11.6, 14.9) years] and HIV-negative [5.5 (3.8, 7.2) years] COBRA participants compared to BD [-7.0 (-4.1, -9.9) years, both p's < 0.001)], but also in HIV-positive compared to HIV-negative participants (p < 0.001). Chronic HBV, higher anti-CMV IgG titer and CD8+ T-cell count were each associated with increased age advancement, independently of HIV-status/group. Among HIV-positive participants, age advancement was increased by 3.5 (0.1, 6.8) years among those with nadir CD4+ < 200 cells/μL and by 0.1 (0.06, 0.2) years for each additional month of exposure to saquinavir.Conclusions: Both treated PLWH and lifestyle-comparable HIV-negative individuals show signs of age advancement compared to BD, to which persistent CMV, HBV co-infection and CD8+ T-cell activation may have contributed. Age advancement remained greatest in PLWH and was related to prior immunodeficiency and cumulative saquinavir exposure. published

Published
2019

4. Validation of a Novel Multivariate Method of Defining HIV-Associated Cognitive Impairment

Author

Underwood, Jonathan, De Francesco, Davide, Cole, James H, Caan, Matthan W A, van Zoest, Rosan A, Schmand, Ben A, Sharp, David J, Sabin, Caroline A, Reiss, Peter, Winston, Alan Coolaboratori: Reiss P, Wit FWNM, Schouten J, Kooij KW, van Zoest RA, Elsenga BC, Janssen FR, Heidenrijk M, Zikkenheiner W, van der Valk M, Kootstra NA, Harskamp-Holwerda AM, Maurer I, Mangas Ruiz MM, Girigorie AF, Villaudy J, Frankin E, Pasternak A, Berkhout B, van der Kuyl T, Portegies P, Schmand BA, Geurtsen GJ, Ter Stege JA, Klein Twennaar M, Majoie CBLM, Caan MWA, Su T, Weijer K, Bisschop PHLT, Kalsbeek A, Wezel M, Visser I, Ruhé HG, Franceschi C, Garagnani P, Pirazzini C, Capri M, Dall'Olio F, Chiricolo M, Salvioli S, Hoeijmakers J, Pothof J, Prins M, Martens M, Moll S, Berkel J, Totté M, Kovalev S, Gisslén M, Fuchs D, Zetterberg H, Winston A, Underwood J, McDonald L, Stott M, Legg K, Lovell A, Erlwein O, Doyle N, Kingsley C, Sharp DJ, Leech R, Cole JH, Zaheri S, Hillebregt MMJ, Ruijs YMC, Benschop DP, Burger D, de Graaff-Teulen M, Guaraldi G, Bürkle A, Sindlinger T, Moreno-Villanueva M, Keller A, Sabin C, de Francesco D, Libert C, Dewaele S, Boffito M, Mallon P, Post F, Sachikonye M, Anderson J, Asboe D, Garvey L, Pozniak A, Vera J, Williams I, Campbell L, Yurdakul S, Okumu S, Pollard L, Otiko D, Phillips L, Laverick R, Fisher M, Clarke A, Bexley A, Richardson C, Macken A, Ghavani-Kia B, Maher J, Byrne M, Flaherty A, Mguni S, Clark R, Nevin-Dolan R, Pelluri S, Johnson M, Ngwu N, Hemat N, Jones M, Carroll A, Whitehouse A, Burgess L, Babalis D, Higgs C, Seah E, Fletcher S, Anthonipillai M, Moyes A, Deats K, Syed I, Matthews C., Underwood, Jonathan, De Francesco, Davide, Cole, James H, Caan, Matthan W A, van Zoest, Rosan A, Schmand, Ben A, Sharp, David J, Sabin, Caroline A, Reiss, Peter, Winston, Alan Coolaboratori: Reiss P, Wit FWNM, Schouten J, Kooij KW, van Zoest RA, Elsenga BC, Janssen FR, Heidenrijk M, Zikkenheiner W, van der Valk M, Kootstra NA, Harskamp-Holwerda AM, Maurer I, Mangas Ruiz MM, Girigorie AF, Villaudy J, Frankin E, Pasternak A, Berkhout B, van der Kuyl T, Portegies P, Schmand BA, Geurtsen GJ, Ter Stege JA, Klein Twennaar M, Majoie CBLM, Caan MWA, Su T, Weijer K, Bisschop PHLT, Kalsbeek A, Wezel M, Visser I, Ruhé HG, Franceschi C, Garagnani P, Pirazzini C, Capri M, Dall'Olio F, Chiricolo M, Salvioli S, Hoeijmakers J, Pothof J, Prins M, Martens M, Moll S, Berkel J, Totté M, Kovalev S, Gisslén M, Fuchs D, Zetterberg H, Winston A, Underwood J, McDonald L, Stott M, Legg K, Lovell A, Erlwein O, Doyle N, Kingsley C, Sharp DJ, Leech R, Cole JH, Zaheri S, Hillebregt MMJ, Ruijs YMC, Benschop DP, Burger D, de Graaff-Teulen M, Guaraldi G, Bürkle A, Sindlinger T, Moreno-Villanueva M, Keller A, Sabin C, de Francesco D, Libert C, Dewaele S, Boffito M, Mallon P, Post F, Sabin C, Sachikonye M, Winston A, Anderson J, Asboe D, Boffito M, Garvey L, Mallon P, Post F, Pozniak A, Sabin C, Sachikonye M, Vera J, Williams I, Winston A, Post F, Campbell L, Yurdakul S, Okumu S, Pollard L, Williams I, Otiko D, Phillips L, Laverick R, Fisher M, Clarke A, Vera J, Bexley A, Richardson C, Mallon P, Macken A, Ghavani-Kia B, Maher J, Byrne M, Flaherty A, Anderson J, Mguni S, Clark R, Nevin-Dolan R, Pelluri S, Johnson M, Ngwu N, Hemat N, Jones M, Carroll A, Whitehouse A, Burgess L, Babalis D, Winston A, Garvey L, Underwood J, Stott M, McDonald L, Boffito M, Asboe D, Pozniak A, Higgs C, Seah E, Fletcher S, Anthonipillai M, Moyes A, Deats K, Syed I, Matthews C., Molecular Genetics, Biomedical Engineering and Physics, Radiology and Nuclear Medicine, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, ACS - Microcirculation, AMS - Restoration & Development, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Neurovascular Disorders, Graduate School, AII - Infectious diseases, APH - Aging & Later Life, Medical Psychology, Amsterdam Neuroscience - Neurodegeneration, Global Health, Infectious diseases, APH - Mental Health, APH - Methodology, Commission of the European Communities, Imperial College Healthcare NHS Trust- BRC Funding, and National Institute for Health Research

Subjects
Multivariate statistics, medicine.medical_specialty, COmorBidity in Relation to AIDS (COBRA) Collaboration and the Pharmacokinetic and clinical Observations in PePle over fiftY (POPPY) Study Group, Immunology, Human immunodeficiency virus (HIV), Audiology, medicine.disease_cause, Microbiology, 03 medical and health sciences, 0302 clinical medicine, multivariate, SDG 3 - Good Health and Well-being, Neuroimaging, Medicine and Health Sciences, medicine, Major Article, OLDER-PEOPLE, 030212 general & internal medicine, VALIDITY, Cognitive impairment, cognitive impairment, Science & Technology, neuroimaging, SCORES, business.industry, Biology and Life Sciences, HIV, MEN, Cognition, Mental health, White matter microstructure, PREVALENCE, 3. Good health, Infectious Diseases, Oncology, REGISTRATION, business, Life Sciences & Biomedicine, Neurocognitive, 030217 neurology & neurosurgery
Abstract

Background The optimum method of defining cognitive impairment in virally suppressed people living with HIV is unknown. We evaluated the relationships between cognitive impairment, including using a novel multivariate method (NMM), patient– reported outcome measures (PROMs), and neuroimaging markers of brain structure across 3 cohorts. Methods Differences in the prevalence of cognitive impairment, PROMs, and neuroimaging data from the COBRA, CHARTER, and POPPY cohorts (total n = 908) were determined between HIV-positive participants with and without cognitive impairment defined using the HIV-associated neurocognitive disorders (HAND), global deficit score (GDS), and NMM criteria. Results The prevalence of cognitive impairment varied by up to 27% between methods used to define impairment (eg, 48% for HAND vs 21% for NMM in the CHARTER study). Associations between objective cognitive impairment and subjective cognitive complaints generally were weak. Physical and mental health summary scores (SF-36) were lowest for NMM-defined impairment (P < .05). There were no differences in brain volumes or cortical thickness between participants with and without cognitive impairment defined using the HAND and GDS measures. In contrast, those identified with cognitive impairment by the NMM had reduced mean cortical thickness in both hemispheres (P < .05), as well as smaller brain volumes (P < .01). The associations with measures of white matter microstructure and brain-predicted age generally were weaker. Conclusion Different methods of defining cognitive impairment identify different people with varying symptomatology and measures of brain injury. Overall, NMM-defined impairment was associated with most neuroimaging abnormalities and poorer self-reported health status. This may be due to the statistical advantage of using a multivariate approach., We have previously described a novel multivariate method (NMM) with theoretical statistical advantages over existing methods, which we assessed here in 3 cohorts of people living with HIV. Overall, NMM-defined impairment was associated with most neuroimaging abnormalities and poorer self-reported health status.

Published
2019

6. Factors associated with obesity in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) cohort: an observational cross‐sectional analysis

Author

Savinelli, S, primary, De Francesco, D, additional, Feeney, ER, additional, Babalis, D, additional, Bagkeris, E, additional, Post, FA, additional, Boffito, M, additional, Williams, I, additional, Vera, J, additional, Johnson, M, additional, Anderson, J, additional, Sachikonye, M, additional, Winston, A, additional, Sabin, C, additional, and Mallon, PWG, additional

Published
2020
Full Text
View/download PDF

8. Structural Brain Abnormalities in Successfully Treated HIV Infection: Associations With Disease and Cerebrospinal Fluid Biomarkers

Author

van Zoest RA, Underwood J, De Francesco D, Sabin CA, Cole JH, Wit FW, Caan MWA, Kootstra NA, Fuchs D, Zetterberg H, Majoie CBLM, Portegies P, Winston A, Sharp DJ, Gisslén M, Reiss P, on behalf of the Comorbidity in Relation to AIDS Collaboration, Franceschi C, Garagnani P, Pirazzini C, Capri M, Dall'Olio F, Chiricolo M, Salvioli S., APH - Aging & Later Life, AII - Infectious diseases, Graduate School, Amsterdam institute for Infection and Immunity, Global Health, Radiology and Nuclear Medicine, Experimental Immunology, Amsterdam Cardiovascular Sciences, Infectious diseases, APH - Global Health, Other departments, Medical Psychology, Amsterdam Movement Sciences, Amsterdam Neuroscience - Neurodegeneration, APH - Mental Health, Medical Microbiology and Infection Prevention, Amsterdam Gastroenterology Endocrinology Metabolism, Laboratory for Endocrinology, Ophthalmology, Other Research, Cell Biology and Histology, APH - Digital Health, APH - Personalized Medicine, APH - Methodology, ACS - Microcirculation, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, van Zoest RA, Underwood, J, De Francesco, D, Sabin, Ca, Cole, Jh, Wit, Fw, Caan, Mwa, Kootstra, Na, Fuchs, D, Zetterberg, H, Majoie, Cblm, Portegies, P, Winston, A, Sharp, Dj, Gisslén, M, Reiss, P, on behalf of the Comorbidity in Relation to AIDS Collaboration,, Franceschi, C, Garagnani, P, Pirazzini, C, Capri, M, Dall'Olio, F, Chiricolo, M, Salvioli, S., Commission of the European Communities, and Imperial College Healthcare NHS Trust- BRC Funding

Subjects
Male, medicine.medical_specialty, Sustained Virologic Response, HIV Infections, Disease, Gastroenterology, Microbiology, cerebrospinal fluid, White matter, 03 medical and health sciences, 0302 clinical medicine, Cerebrospinal fluid, Acquired immunodeficiency syndrome (AIDS), Internal medicine, Antiretroviral Therapy, Highly Active, Fractional anisotropy, medicine, Immunology and Allergy, Humans, 030212 general & internal medicine, neuroimaging, business.industry, Brain, biomarkers, HIV, 11 Medical And Health Sciences, Middle Aged, 06 Biological Sciences, medicine.disease, Comorbidity, Co-morBidity in Relation to AIDS (COBRA) Collaboration, Infectious Diseases, medicine.anatomical_structure, neurofilament light chain, Anti-Retroviral Agents, Cohort, biomarker, Female, Serostatus, business, 030217 neurology & neurosurgery
Abstract

Background Brain structural abnormalities have been reported in persons living with human immunodeficiency virus (HIV; PLWH) who are receiving suppressive combination antiretroviral therapy (cART), but their pathophysiology remains unclear. Methods We investigated factors associated with brain tissue volumes and white matter microstructure (fractional anisotropy) in 134 PLWH receiving suppressive cART and 79 comparable HIV-negative controls, aged ≥45 years, from the Comorbidity in Relation to AIDS cohort, using multimodal neuroimaging and cerebrospinal fluid biomarkers. Results Compared with controls, PLWH had lower gray matter volumes (−13.7 mL; 95% confidence interval, −25.1 to −2.2) and fractional anisotropy (−0.0073; 95% confidence interval, −.012 to −.0024), with the largest differences observed in those with prior clinical AIDS. Hypertension and the soluble CD14 concentration in cerebrospinal fluid were associated with lower fractional anisotropy. These associations were independent of HIV serostatus (Pinteraction = .32 and Pinteraction = .59, respectively) and did not explain the greater abnormalities in brain structure in relation to HIV infection. Conclusions The presence of lower gray matter volumes and more white matter microstructural abnormalities in well-treated PLWH partly reflect a combination of historical effects of AIDS, as well as the more general influence of systemic factors, such as hypertension and ongoing neuroinflammation. Additional mechanisms explaining the accentuation of brain structure abnormalities in treated HIV infection remain to be identified.

Published
2018

9. Depression, lifestyle factors and cognitive function in people living with HIV and comparable HIV-negative controls

Author

De Francesco, D., Underwood, J., Bagkeris, E., Boffito, M., Post, F. A., Mallon, P. W. G., Vera, J. H., Williams, I., Anderson, J., Johnson, M., Sabin, C. A., Winston, A., Babalis, Daphne, Boffito, Marta, Burgess, Laura, Mallon, Paddy, Sabin, Caroline, Sachikonye, Memory, Winston, Alan, Asboe, David, Garvey, Lucy, Pozniak, Anton, Clarke, Amanda, Vera, Jaime, Bexley, Andrew, Richardson, Celia, Kirk, Sarah, Gleig, Rebecca, Bracchi, Margherita, Pagani, Nicole, Cerrone, Maddalena, Bradshaw, Daniel, Ferretti, Francesca, Higgs, Chris, Seah, Elisha, Fletcher, Stephen, Anthonipillai, Michelle, Moyes, Ashley, Deats, Katie, Syed, Irtiza, Matthews, Clive, Fernando, Peter, Chiwome, Chido, Hardwick, Shane, Anderson, Jane, Mguni, Sifiso, Clark, Rebecca, Nevin-Dolan, Rhiannon, Pelluri, Sambasivarao, Post, Frank, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Santana-Suarez, Beatriz, Macken, Alan, Ghavani-Kia, Bijan, Maher, Joanne, Byrne, Maria, Flaherty, Ailbhe, Babu, Sumesh, Otiko, Damilola, Phillips, Laura, Laverick, Rosanna, Beynon, Michelle, Salz, Anna-Lena, Severn, Abigail, Tembo, Lavender, Stott, Matthew, McDonald, Linda, Dransfield, Felix, Whitehouse, Andrew, Ngwu, Nnenna, Hemat, Nargis, Jones, Martin, Carroll, Anne, Kinloch, Sabine, Youle, Mike, and Madge, Sara

Subjects
0301 basic medicine, Adult, Male, Substance-Related Disorders, HIV Infections, Hashish, RC0109, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Cognition, cognitive disorder, medicine, Humans, Pharmacology (medical), 030212 general & internal medicine, Effects of sleep deprivation on cognitive performance, people living with HIV, Life Style, Depression (differential diagnoses), cognitive function, Aged, Original Research, Depressive Disorder, business.industry, Health Policy, Cognitive disorder, HIV, Middle Aged, medicine.disease, Recreational drug use, 030112 virology, Mental health, Patient Health Questionnaire, Infectious Diseases, Cross-Sectional Studies, HIV‐associated neurocognitive disorders, depression, Female, business, medicine.drug, Demography
Abstract

Objectives\ud We investigated whether differences in cognitive performance between people living with HIV (PLWH) and comparable HIV‐negative people were mediated or moderated by depressive symptoms and lifestyle factors.\ud \ud Methods\ud A cross‐sectional study of 637 ‘older’ PLWH aged ≥ 50 years, 340 ‘younger’ PLWH aged < 50 years and 276 demographically matched HIV‐negative controls aged ≥ 50 years enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study was performed. Cognitive function was assessed using a computerized battery (CogState). Scores were standardized into Z‐scores [mean = 0; standard deviation (SD) = 1] and averaged to obtain a global Z‐score. Depressive symptoms were evaluated via the Patient Health Questionnaire (PHQ‐9). Differences between the three groups and the effects of depression, sociodemographic factors and lifestyle factors on cognitive performance were evaluated using median regression. All analyses accounted for age, gender, ethnicity and level of education.\ud \ud Results\ud After adjustment for sociodemographic factors, older and younger PLWH had poorer overall cognitive scores than older HIV‐negative controls (P < 0.001 and P = 0.006, respectively). Moderate or severe depressive symptoms were more prevalent in both older (27%; P < 0.001) and younger (21%; P < 0.001) PLWH compared with controls (8%). Depressive symptoms (P < 0.001) and use of hashish (P = 0.01) were associated with lower cognitive function; alcohol consumption (P = 0.02) was associated with better cognitive scores. After further adjustment for these factors, the difference between older PLWH and HIV‐negative controls was no longer significant (P = 0.08), while that between younger PLWH and older HIV‐negative controls remained significant (P = 0.01).\ud \ud Conclusions\ud Poorer cognitive performances in PLWH compared with HIV‐negative individuals were, in part, mediated by the greater prevalence of depressive symptoms and recreational drug use reported by PLWH.

Published
2019

10. Strategies for preventing group B streptococcal infections in newborns: A nation-wide survey of Italian policies

Author

Tzialla, C, berardi, A, farina, C, clerici, P, borghesi, A, viora, E, scollo, P, stronati, M, Task Force for group B streptococcal infections for the Italian Society of Neonatology including Stival, G, barbaglia, Ma, guala, A, giunta, E, parola, L, grossignani, Mr, perri, P, tubaldi, L, alletto, G, daidone, S, flacco, V, dani, C, sterpa, A, rapisardi, G, elicio, Mr, faldella, G, capretti, Mg, messner, H, bandiera, M, achille, C, azzali, A, montrasio, G, mariani, S, galvagno, G, giacosa, E, de Angelis, F, spandrio, M, serra, A, garofalo, F, perona, A, porcelli, F, ferrero, F, De Franco, S, paollilo, P, picone, S, besana, R, varisco, T, farina, M, memo, L, nicolini, G, lietti, D, Di Chiara, G, rottoli, A, Bonabitacola, T, Cortis, E, Neri, E, Martinelli, S, Ilardi, L, Rondanini, Gf, Calzi, P, Gatta, A, Quntadamo, Pa, Ivaldi, M, Terenzani, L, Di Lascio, N, Travaglio, Md, Vetrano, G, Furcolo, G, Vitacco, V, Intini, C, Frigerio, M, Stroppiana, P, Policicchio, G, Mesirca, P, Gianino, P, Audenio, E, Paludetto, R, Raimondi, F, Pugliese, A, Valentino, L, Nosari, N, Marchesano, G, Chirico, G, Bellù, R, Menchini, M, Poletti, A, E T, Vacchiano, Pinto, L, E D, Perri, Coppola, R, Perini, R, Vetrella, A, De Luca, G, Lista, G, Cavigioli, F, Bettinelli, A, Massironi, E, Franco, C, Bernardo, L, Poli, S, Palladini, M, Tota, V, Spadavecchia, F, Zuccotti, Gv, Pogliani, L, Bracaglia, G, Mancini, Al, Zocco, F, Iozzia, G, Auriemma, A, Teani, M, Mangilli, G, Tempra, Am, Di Terlizi, L, Bottino, R, Salvi, C, Fortunato, V, Musaico, R, Gargantini, G, Carrera, G, Magaldi, R, Taurino, L, D'Onofrio, Am, Buffone, E, Tempera, A, Agosti, M, Garzia, P, Mosca, F, Pugni, L, Tagliabue, P, Colombo, C, Demi, M, Picco, G, Carlucci, A, Zorzi, G, Padula, D, Cardone, Ml, Buonocore, G, Muraca, Mc, Boldrini, A, Ciantelli, M, Lanari, M, Serra, L, Felici, L, Banderalli, G, Brambilla, C, Dall'Agnola, A, Viviani, E, Zonca, Mc, Licardi, G, Chiara, A, Ancora, G, Papa, I, Gancia, P, Pomero, G, Deloglu, A, Villani, P, Mussini, P, Canidio, E, Migliavacca, D, Di Fabio, S, Cipollone, I, Biasucci, G, Rubbi, P, Piepoli, M, Guastaferro, N, Infriccioli, F, Bertino, E, Perathoner, C, Parmigiani, S, Suriano, G, Ianniello, C, Biasini, A, Azzalli, M, Timpani, G, Barresi, S, Caoci, G, Ciccotti, R, De Curtis, M, Natale, F, Finocchi, M, Haass, C, Milillo, F, Lucieri, S, Guercio, E, Canepa, Sa, Scozia, G, Antonucci, R, Limongelli, O, Macciò, S, Mongelli, F, Colonna, F, Dragovic, D, Calipa, Mt, Cohen, A, Moresco, L, Italian Society of Obstetricians and Gynecologists including La Spina, R, Ruggeri, R, Luehwink, A, Brattoli, M, Fedi, A, Lacchi, L, Ettore, G, Pappalardo, E, Conoscenti, G, Zeni, B, Spellecchia, D, Favretti, L, Spagna, L, Zaglio, S, Bresciani, D, Bandini, A, Mancini, R, Mustoni, P, Dodero, D, Grimaldi, M, Di Mario, M, Migliorini, P, Kemeny, A, Anastasio, Ps, Riccardi, T, Maggino, T, Cerri, G, Puggina, P, Marconi, Am, Morgia, S, Bellia, G, D'Anna, Mr, Catania, M, Bacchi Modena, A, Franchi, L, Calonaci, N, Schettini, S, Paradiso, R, Saccucci, P, Ioppi, M, Zorzi, M, Stellin, G, Patacchiola, F, Carrata, L, Bassini, D, San Marco, L, Todros, T, Tibadi, C, Liborio, M, Italian Association of Clinical Microbiologists including Laricchia, R, Tauro, L, Ferrara, F, Nuara, C, Ghiraldi, E, Molinari, F, Comessatti, A, Rocchetti, A, Di Matteo, L, Miconi, V, Calvi, P, Pernigotti, A, Fabozzi, F, Micca, G, Monticone, G, Sarti, M, Da Rin, G, Zoppelletto, M, Modolo, E, Landini, Mp, Furlini, G, Galluppi, E, Pagani, E, Aschbacher, R, Innocenti, P, Bresolin, N, Raggi, Me, Bonfanti, C, De Francesco, M, Santer, P, Griessmaier, A, De Francesco, D, Pirali, A, Prasciolu, C, Usai, F, Cuzzone, G, Scutellà, M, Tramacere, P, Fossati, D, Piaserico, G, Bordignon, G, Sciacca, A, Di Vincenzo, F, Imbriani, A, Melotti, D, Catanoso, G, Rivetti, I, Neri, G, Bruno, R, Bacelle, L, Sartore, P, Giana, G, Sala, E, Giraldi, C, Cavalcanti, P, Perugini, M, Perugini, A, Ginardi, C, Maritano, D, Ferrini, A, Bonettini, A, Avanzini, A, Gasperoni, S, Pieretti, B, Montanari, E, Carillo, C, Rossi, Mr, Laureti, A, Baldoni, Ml, Serra, D, Melioli, G, Bandettini, R, Oneto, F, Colla, R, Storchi Incerti, S, Lanzini, F, Pauri, P, Tili, E, Leone, Ra, Verdastro, G, Megha, M, Luzzaro, F, Conti, A, Busulini, L, Mirri, P, Diodati, R, Vettori, C, Pittalis, S, Anesi, A, Fiore, A, Goglia, L, Vitullo, E, Sinno, A, Platzgummer, S, Spitaler, C, Trabucchi, Mc, Besozzi, M, Cesana, E, Inghilleri, G, Grosso, S, D'Angelo, R, Fogato, E, Lavarda, F, Ortisi, G, Clementi, M, Cichero, P, Rumpianesi, F, Venturelli, C, Mortillaro, F, Daffara, S, Catania, Mr, Iula, D, Andreoni, S, Politi, A, Agostinelli, C, Paparella, C, Capozzi, D, Notaris, P, Bistoni, F, Mencacci, A, Valentini, M, Filippetti, A, Confalonieri, M, Novarese, O, Bonini, F, Salamone, D, Camporese, A, De Rosa, R, Casprini, P, Degl'Innocenti, R, Giordano, R, Allù, Mt, Zanella, D, Malandrino, M, Tronci, M, Valmarin, M, Leonetti, G, Falco, S, Meledandri, M, Ballardini, M, Spanò, A, Cava, Mc, Mascellino, Mt, Schinella, M, Gualdi, P, Casari, E, Scattolo, N, Motta, C, Perfetti, C, Bassano, M, Cera, G, Iafisco, P, Mura, I, Palmieri, A, Migliardi, M, Ferlini, M, Grandi, G, Giardini, F, Albano, F, Latino, M, Ferrero, Mp, Bellizia, L, Russolo, M, Russolo, S, Pesenti, A, Fasano, Ma, Previato, S, Radillo, O, Busetti, M, Ferrari, P, Siderini, V, Puzzolante, L, Scarparo, C, Arzese, A, Cappuccia, N, Lodolo, L, Delledonne, L, Gramoni, A, Maiolo, V, Gheller, A, Spadaro, S, Balzaretti, M, Tzialla, C., Berardi, A., Farina, C., Clerici, P., Borghesi, A., Viora, E., Scollo, P., Stronati, M., Stival, G., Barbaglia, M. A., Guala, A., Giunta, E., Parola, L., Grossignani, M. R., Perri, P., Tubaldi, L., Alletto, G., Daidone, S., Flacco, V., Dani, C., Sterpa, A., Rapisardi, G., Elicio, M. R., Faldella, G., Capretti, M. G., Messner, H., Bandiera, M., Achille, C., Azzali, A., Montrasio, G., Mariani, S., Galvagno, G., Giacosa, E., de Angelis, F., Spandrio, M., Serra, A., Garofalo, F., Perona, A., Porcelli, F., Ferrero, F., De Franco, S., Paollilo, P., Picone, S., Besana, R., Varisco, T., Farina, M., Memo, L., Nicolini, G., Lietti, D., Di Chiara, G., Rottoli, A., Bonabitacola, T., Cortis, E., Neri, E., Martinelli, S., Ilardi, L., Rondanini, G. F., Calzi, P., Gatta, A., Quntadamo, P. A., Ivaldi, M., Terenzani, L., Di Lascio, N., Travaglio, M. D., Vetrano, G., Furcolo, G., Vitacco, V., Intini, C., Frigerio, M., Stroppiana, P., Policicchio, G., Mesirca, P., Gianino, P., Audenio, E., Paludetto, R., Raimondi, F., Pugliese, A., Valentino, L., Nosari, N., Marchesano, G., Chirico, G., Bell(`u), R., Menchini, M., Poletti, A., Vacchiano, T., Pinto, L., Perri, D., Coppola, R., Perini, R., Vetrella, A., De Luca, G., Lista, G., Cavigioli, F., Bettinelli, A., Massironi, E., Franco, C., Bernardo, L., Poli, S., Palladini, M., Tota, V., Spadavecchia, F., Zuccotti, G. V., Pogliani, L., Bracaglia, G., Mancini, A. L., Zocco, F., Iozzia, G., Auriemma, A., Teani, M., Mangilli, G., Tempra, A. M., Di Terlizi, L., Bottino, R., Salvi, C., Fortunato, V., Musaico, R., Gargantini, G., Carrera, G., Magaldi, R., Taurino, L., D?onofrio, A. M., Buffone, E., Tempera, A., Agosti, M., Garzia, P., Mosca, F., Pugni, L., Tagliabue, P., Colombo, C., Demi, M., Picco, G., Carlucci, A., Zorzi, G., Padula, D., Cardone, M. L., Buonocore, G., Muraca, M. C., Boldrini, A., Ciantelli, M., Lanari, M., Serra, L., Felici, L., Banderalli, G., Brambilla, C., Dall?agnola, A., Viviani, E., Zonca, M. C., Licardi, G., Chiara, A., Ancora, G., Papa, I., Gancia, P., Pomero, G., Deloglu, A., Villani, P., Mussini, P., Canidio, E., Migliavacca, D., Di Fabio, S., Cipollone, I., Biasucci, G., Rubbi, P., Piepoli, M., Guastaferro, N., Infriccioli, F., Bertino, E., Perathoner, C., Parmigiani, S., Suriano, G., Ianniello, C., Biasini, A., Azzalli, M., Timpani, G., Barresi, S., Caoci, G., Ciccotti, R., De Curtis, M., Natale, F., Finocchi, M., Haass, C., Milillo, F., Lucieri, S., Guercio, E., Canepa, S. A., Scozia, G., Antonucci, R., Limongelli, O., Macci(`o), S., Mongelli, F., Colonna, F., Dragovic, D., Calipa, M. T., Cohen, A., Moresco, L., La Spina, R., Ruggeri, R., Luehwink, A., Brattoli, M., Fedi, A., Lacchi, L., Ettore, G., Pappalardo, E., Conoscenti, G., Zeni, B., Spellecchia, D., Favretti, L., Spagna, L., Zaglio, S., Bresciani, D., Bandini, A., Mancini, R., Mustoni, P., Dodero, D., Grimaldi, M., Di Mario, M., Migliorini, P., Kemeny, A., Anastasio, P. S., Riccardi, T., Maggino, T., Cerri, G., Puggina, P., Marconi, A. M., Morgia, S., Bellia, G., D?anna, M. R., Catania, M., Bacchi Modena, A., Franchi, L., Calonaci, N., Schettini, S., Paradiso, R., Saccucci, P., Ioppi, M., Zorzi, M., Stellin, G., Patacchiola, F., Carrata, L., Bassini, D., San Marco, L., Todros, T., Tibadi, C., Liborio, M., Laricchia, R., Tauro, L., Ferrara, F., Nuara, C., Ghiraldi, E., Molinari, F., Comessatti, A., Rocchetti, A., Di Matteo, L., Miconi, V., Calvi, P., Pernigotti, A., Fabozzi, F., Micca, G., Monticone, G., Sarti, M., Da Rin, G., Zoppelletto, M., Modolo, E., Landini, M. P., Furlini, G., Galluppi, E., Pagani, E., Aschbacher, R., Innocenti, P., Bresolin, N., Raggi, M. E., Bonfanti, C., De Francesco, M., Santer, P., Griessmaier, A., De Francesco, D., Pirali, A., Prasciolu, C., Usai, F., Cuzzone, G., Scutell(`a), M., Tramacere, P., Fossati, D., Piaserico, G., Bordignon, G., Sciacca, A., Di Vincenzo, F., Imbriani, A., Melotti, D., Catanoso, G., Rivetti, I., Neri, G., Bruno, R., Bacelle, L., Sartore, P., Giana, G., Sala, E., Giraldi, C., Cavalcanti, P., Perugini, M., Perugini, A., Ginardi, C., Maritano, D., Ferrini, A., Bonettini, A., Avanzini, A., Gasperoni, S., Pieretti, B., Montanari, E., Carillo, C., Rossi, M. R., Laureti, A., Baldoni, M. L., Serra, D., Melioli, G., Bandettini, R., Oneto, F., Colla, R., Storchi Incerti, S., Lanzini, F., Pauri, P., Tili, E., Leone, R. A., Verdastro, G., Megha, M., Luzzaro, F., Conti, A., Busulini, L., Mirri, P., Diodati, R., Vettori, C., Pittalis, S., Anesi, A., Fiore, A., Goglia, L., Vitullo, E., Sinno, A., Platzgummer, S., Spitaler, C., Trabucchi, M. C., Besozzi, M., Cesana, E., Inghilleri, G., Grosso, S., D?angelo, R., Fogato, E., Lavarda, F., Ortisi, G., Clementi, M., Cichero, P., Rumpianesi, F., Venturelli, C., Mortillaro, F., Daffara, S., Catania, M. R., Iula, D., Andreoni, S., Politi, A., Agostinelli, C., Paparella, C., Capozzi, D., Notaris, P., Bistoni, F., Mencacci, A., Valentini, M., Filippetti, A., Confalonieri, M., Novarese, O., Bonini, F., Salamone, D., Camporese, A., De Rosa, R., Casprini, P., Degl?innocenti, R., Giordano, R., All(`u), M. T., Zanella, D., Malandrino, M., Tronci, M., Valmarin, M., Leonetti, G., Falco, S., Meledandri, M., Ballardini, M., Span(`o), A., Cava, M. C., Mascellino, M. T., Schinella, M., Gualdi, P., Casari, E., Scattolo, N., Motta, C., Perfetti, C., Bassano, M., Cera, G., Iafisco, P., Mura, I., Palmieri, A., Migliardi, M., Ferlini, M., Grandi, G., Giardini, F., Albano, F., Latino, M., Ferrero, M. P., Bellizia, L., Russolo, M., Russolo, S., Pesenti, A., Fasano, M. A., Previato, S., Radillo, O., Busetti, M., Ferrari, P., Siderini, V., Puzzolante, L., Scarparo, C., Arzese, A., Cappuccia, N., Lodolo, L., Delledonne, L., Gramoni, A., Maiolo, V., Gheller, A., Spadaro, S., Balzaretti, M., Tzialla, Chryssoula, Berardi, Alberto, Farina, Claudio, Clerici, Pierangelo, Borghesi, Alessandro, Viora, Elsa, Scollo, Paolo, Stronati, Mauro, [.., Lanari, Marcello, Faldella, Giacomo, and ]

Subjects
Male, Pediatrics, Group B, 0302 clinical medicine, Neonate, Pregnancy, Surveys and Questionnaires, Prevalence, Mass Screening, Blood culture, 030212 general & internal medicine, Antibiotic prophylaxis, Survey, GBS, Group B streptococcus, Infection, Newborn infant, Adult, Antibiotic Prophylaxis, Female, Health Surveys, Humans, Infant, Newborn, Italy, Neonatal Screening, Pregnancy Complications, Infectious, Prenatal Care, Primary Prevention, Risk Assessment, Streptococcal Infections, Streptococcus agalactiae, reproductive and urinary physiology, Group B streptococcu, medicine.diagnostic_test, lcsh:RJ1-570, Infectious, Perinatology and Child Health, Pediatrics, Perinatology and Child Health, medicine.medical_specialty, Antibiotic sensitivity, Group B Streptococcal Infection, Prenatal care, 03 medical and health sciences, 030225 pediatrics, medicine, Intensive care medicine, Mass screening, business.industry, Public health, Infant, lcsh:Pediatrics, Newborn, Pregnancy Complications, business
Abstract

Background There are no Italian data regarding the strategies for preventing neonatal group B streptococcal (GBS) infection. We conducted a national survey in order to explore obstetrical, neonatal and microbiological practices for the GBS prevention. Methods Three distinct questionnaires were sent to obstetricians, neonatologists and microbiologists. Questionnaires included data on prenatal GBS screening, maternal risk factors, intrapartum antibiotic prophylaxis, microbiological information concerning specimen processing and GBS antimicrobial susceptibility. Results All respondent obstetrical units used the culture-based screening approach to identify women who should receive intrapartum antibiotic prophylaxis, and more than half of the microbiological laboratories (58%) reported using specimen processing consistent with CDC guidelines. Most neonatal units (89 out of 107, 82%) reported using protocols for preventing GBS early-onset sepsis consistent with CDC guidelines. Conclusions The screening-based strategy is largely prevalent in Italy, and most protocols for preventing GBS early-onset sepsis are consistent with CDC guidelines. However, we found discrepancies in practices among centers that may reflect the lack of Italian guidelines issued by public health organizations.

Published
2017

14. Grey and white matter abnormalities in treated HIV-disease and their relationship to cognitive function

Author

Underwood, J, Cole, JH, Caan, M, De Francesco, D, Leech, R, Van Zoest, RA, Su, T, Geurtsen, GJ, Schmand, BA, Portegies, P, Prins, M, Wit, FW, Sabin, CA, Majoie, C, Reiss, P, Winston, A, Sharp, DJ, Co-morBidity in Relation to Aids (COBRA) Collaboration, Commission of the European Communities, National Institute for Health Research, and Imperial College Healthcare NHS Trust- BRC Funding

Subjects
Science & Technology, neuroimaging, Immunology, HIV, 11 Medical And Health Sciences, IMPAIRMENT, 06 Biological Sciences, diffusion tensor imaging, Microbiology, PREVALENCE, INTEGRITY, INDIVIDUALS, Infectious Diseases, ANTIRETROVIRAL THERAPY, HIV-INFECTION, NEUROCOGNITIVE DISORDERS, REGISTRATION, voxel-based morphometry, COHORT, Comorbidity in Relation to AIDS (COBRA) Collaboration, BRAIN, Life Sciences & Biomedicine, cognitive impairment
Abstract

Background: Long-term comorbidities such as cognitive impairment remain prevalent in otherwise effectively treated people-living-with-HIV. We investigate the relationship between cognitive impairment and brain structure in successfully treated patients using multi-modal neuroimaging from the Co-morBidity in Relation to AIDS (COBRA) cohort. Methods: Cognitive function, brain tissue volumes and white matter microstructure were assessed in 134 HIV-positive patients and 79 controls. All patients had suppressed plasma HIV RNA at cohort entry. In addition to comprehensive voxelwise analyses of volumetric and diffusion tensor imaging, we used an unsupervised machine learning approach to combine cognitive, diffusion and volumetric data, taking advantage of the complementary information they provide. Results: Compared to the highly comparable control group, cognitive function was impaired in four out of the six cognitive domains tested (median global T-scores: 50.8 vs. 54.2, p

Published
2017

15. Genetic Factors Associated with Platinum Toxicity: A Preliminary Study

Author

De Troia, B., primary, Davide, D., additional, Filipazzi, V., additional, Isabella, L., additional, Tosca, N., additional, Ferrario, S., additional, Gambaro, A., additional, Somma, L., additional, Fasola, C., additional, Pellegrini, I., additional, Bombonati, G., additional, Damiani, E., additional, Cheli, S., additional, Falvella, F.S., additional, Clementi, E., additional, de Francesco, D., additional, and Cattaneo, M.T., additional

Published
2017
Full Text
View/download PDF

16. Associations between cognitive impairment and patient-reported measures of physical/mental functioning in older people living with HIV

Author

Underwood, J, De Francesco, D, Post, FA, Vera, JH, Williams, I, Boffito, M, Mallon, PW, Anderson, J, Sachikonye, M, Sabin, C, Winston, A, and Pharmacokinetic and Clinical Observations in People Over Fifty (POPPY) study group

Subjects
Gerontology, Male, Activities of daily living, HIV Infections, 03 medical and health sciences, 0302 clinical medicine, Cognition, Acquired immunodeficiency syndrome (AIDS), Surveys and Questionnaires, Virology, Medicine, Dementia, Humans, Pharmacology (medical), Cognitive Dysfunction, 030212 general & internal medicine, Prospective Studies, VALIDITY, Depression (differential diagnoses), Aged, cognitive impairment, Aged, 80 and over, Science & Technology, business.industry, Health Policy, HIV, 1103 Clinical Sciences, Middle Aged, medicine.disease, Mental health, 3. Good health, NEUROPSYCHOLOGICAL IMPAIRMENT, Sexual desire, Infectious Diseases, patient-reported outcomes, Normative, Female, business, activities of daily living, Life Sciences & Biomedicine, 030217 neurology & neurosurgery
Abstract

Objectives: While cognitive impairment is frequently reported in HIV-positive individuals and has historically been associated with poorer functional outcomes, the associations between cognitive impairment and patient-reported outcome measures (PROMs) in contemporary cohorts are unclear.\ud \ud Methods: We tested cognitive function using a computerized battery (CogState™) in 290 HIV-positive and 97 HIV-negative individuals aged ≥ 50 years participating in the Pharmacokinetic and Clinical Observations in People Over Fifty (POPPY) study. Participants completed questionnaires detailing physical and mental health [Short Form Health Survey (SF-36)], cognitive function [European AIDS Clinical Society (EACS) questions], activities of daily living [Lawton Instrumental Activities of Daily Living (IADL)], depression [Patient Depression Questionnaire (PHQ-9) and Centres for Epidemiologic Studies Depression scale (CES-D)], falls and sexual desire. Cognitive impairment was defined using the Frascati criteria, global deficit score (GDS) and multivariate normative comparison (MNC). In the HIV-positive group, the classification performances of the different definitions of cognitive impairment and dichotomized questionnaire results were calculated.\ud \ud Results: The prevalence of cognitive impairment in the HIV-positive group was 34.5% (GDS), 30.0% (Frascati) and 22.1% (MNC), with only 2% diagnosed with HIV-associated dementia. In general, the associations between cognitive impairment and PROMs were weak regardless of the definition used: mean c-statistics were 0.543 (GDS), 0.530 (MNC) and 0.519 (Frascati). Associations were similar using the global T-score to define cognitive impairment. Summary health scores (SF-36) were lower, but only significantly so for those with cognitive impairment identified using MNC, for both mental health (61.4 vs. 75.8; P = 0.03) and physical health (60.9 vs. 75.0; P = 0.03).\ud \ud Conclusions: The associations between cognitive impairment and PROMs were weak, possibly because impairment was mild and therefore largely asymptomatic. Further work is needed to elucidate the clinical implications of cognitive impairment in HIV-disease.

Published
2016

21. Progetto junk-paccottiglia. Studio etnoarcheologico dei processi formativi potenziali di una superficie urbana contemporanea a frequentazione intensiva

Author

Maini E., Giorgio L., Guerrini S., Balsassarri P., de Francesco D., Cardinale F., Vidale M., and Maini E., Giorgio L., Guerrini S., Balsassarri P., de Francesco D., Cardinale F., Vidale M.

Subjects
Parco dei Caduti, Parco dei Caduti, Quartiere San Lorenzo, superficie urbana, modelli teorici, Junk-Paccottiglia, Quartiere San Lorenzo, superficie urbana, Junk-Paccottiglia, modelli teorici
Abstract

The processes of loss, the throwing away and abandonment of small handmade items in present-day areas generally result in the formation of ephemeral and unsedinzented contexts. Only a very small part of what is lost or discarded will, in fact, contribute to the formation of well-consolidated and permanent archaeological layers in the place where they were aban¬doned. The "Junk-Paccottiglia" Project is centred on the archaeological study of a modern park in the centre of Rome and has involved the observation, the collection and the spatial contextualization of about 1500 archaeological items in the space of 14 months, from September 2004 to December 2005. Surveys conducted almost daily have permitted the collection of hundreds of personal ornaments (hair clips, beads, pendants, earrings, studs, buttons, artificial nails, gadgets for mobile phones, etc.). The items have then been quantitatively and qualitatively classified on the basis of shape, dimensions and material, with attention paid to the location where they were found and to the categories of age and sex of the population to which they probably belonged. The archaeology of contemporary beads is extremely complex in terms of defining their original owners. In the case of necklaces and bracelets that had fallen on the ground and that were lost or only partial¬ly recovered, the process of recovery of these elements and the dimensions of the areas of distribution were studied on the basis of some preliminary parameters, such as the average dimensions and spherical coefficient of the beads. Seasonal indicators such as buttons lost in the park, which vary in dimension and colour according to the current climate, have also enabled us to evaluate the chronological and seasonal variability of the processes of archaeological formation and distribution in space. This was carried out on the basis of climatic variation and consideration of exposure to sunlight and shade. These aspects are, in fact, a universal variable of human behaviour Finally, the archaeological expression of certain ritual behaviours, specifically connected to recurrent and well-recognizable chronological occurrences, has been supported.

Published
2007

26. Associations between cognitive impairment and patient-reported measures of physical/mental functioning in older people living with HIV.

Author

Underwood, J, De Francesco, D, Post, FA, Vera, JH, Williams, I, Boffito, M, Mallon, PW, Anderson, J, Sachikonye, M, Sabin, C, Winston, A, Asboe, David, Garvey, Lucy, Pozniak, Anton, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Otiko, Damilola, and Phillips, Laura

Subjects
*COGNITIVE testing, *COGNITION disorders, *MENTAL depression, *ACCIDENTAL falls, *HEALTH surveys, *PSYCHOLOGY of HIV-positive persons, *SEXUAL health, *LIFE skills, *MENTAL health, *HEALTH outcome assessment, *QUESTIONNAIRES, *ACTIVITIES of daily living, *FUNCTIONAL assessment, *DESCRIPTIVE statistics, *EVALUATION, *PSYCHOLOGICAL factors
Abstract

While cognitive impairment is frequently reported in HIV-positive individuals and has historically been associated with poorer functional outcomes, the associations between cognitive impairment and patient-reported outcome measures (PROMs) in contemporary cohorts are unclear. Methods We tested cognitive function using a computerized battery (CogState™) in 290 HIV-positive and 97 HIV-negative individuals aged ≥ 50 years participating in the Pharmacokinetic and Clinical Observations in People Over Fifty (POPPY) study. Participants completed questionnaires detailing physical and mental health [Short Form Health Survey (SF-36)], cognitive function [European AIDS Clinical Society (EACS) questions], activities of daily living [Lawton Instrumental Activities of Daily Living (IADL)], depression [Patient Depression Questionnaire (PHQ-9) and Centres for Epidemiologic Studies Depression scale (CES-D)], falls and sexual desire. Cognitive impairment was defined using the Frascati criteria, global deficit score (GDS) and multivariate normative comparison (MNC). In the HIV-positive group, the classification performances of the different definitions of cognitive impairment and dichotomized questionnaire results were calculated. Results The prevalence of cognitive impairment in the HIV-positive group was 34.5% (GDS), 30.0% (Frascati) and 22.1% (MNC), with only 2% diagnosed with HIV-associated dementia. In general, the associations between cognitive impairment and PROMs were weak regardless of the definition used: mean c-statistics were 0.543 (GDS), 0.530 (MNC) and 0.519 (Frascati). Associations were similar using the global T-score to define cognitive impairment. Summary health scores (SF-36) were lower, but only significantly so for those with cognitive impairment identified using MNC, for both mental health (61.4 vs. 75.8; P = 0.03) and physical health (60.9 vs. 75.0; P = 0.03). Conclusions The associations between cognitive impairment and PROMs were weak, possibly because impairment was mild and therefore largely asymptomatic. Further work is needed to elucidate the clinical implications of cognitive impairment in HIV-disease. [ABSTRACT FROM AUTHOR]

Published
2017
Full Text
View/download PDF

27. Trends in Lung Cancer and Smoking Behavior in Italy: An Alarm Bell for Women

Author

Trama, Annalisa, Boffi, Roberto, Contiero, Paolo, Buzzoni, Carlotta, Pacifici, Roberta, Mangone, Lucia, Coviello, V, Buzzoni, C, Fusco, M, Barchielli, A, Cuccaro, F, De Angelis, R, Giacomin, A, Luminari, S, Randi, G, Mangone, L, Mazzoleni, G, Bulatko, A, Devigili, E, Tschugguel, B, De Valiere, E, Facchinelli, G, Falk, M, Vittadello, F, Coviello, V, Cuccaro, F, Calabrese, A, Pinto, A, Cannone, G, Vitali, ME, Galasso, R, Del Riccio, L, Napolitano, D, Sampietro, G, Ghisleni, S, Giavazzi, L, Zanchi, A, Zucchi, A, Giacomin, A, Vercellino, PC, Andreone, S, Fedele, M, Barale, A, Germinetti, F, Magoni, M, Salvi, O, Puleio, M, Gerevini, C, Chiesa, R, Lonati, F, Cavalieri d'Oro, L, Rognoni, M, Le Rose, L, Merlo, E, Bracchi, A, Negrino, L, Pezzuto, L, Ardizzone, A, Spagnolo, G, Cozzi, E, De Lorenzism, L, Lotti, F, Pagliara, MC, D'Argenzio, A, D'Abronzo, M, De Francesco, D, Pereira da Silva, MCM, Menditto, V, Perrotta, E, Pesce, MT, Sessa, A, Sciacca, S, Sciacchitano, S, Fidelbo, M, Benedetto, G, Benedetto, A, Calabretta, LMR, Caruso, AM, Castaing, M, Di Prima, AA, Dinaro, YM, Fidelbo, P, Grosso, G, Ippolito, A, Irato, E, Leone, A, Paderni, F, Pesce, PNR, Pollina Addario, S, Savasta, A, Sciacchitano, CG, Torrisi, AAM, Torrisi, A, Varvarà, M, Viscosi, C, Sutera Sardo, A, Sia, A, Scalzi, S, Lavecchia, AM, Mancuso, P, Nocera, V, Mancusi, F, Del Duca, S, Gola, G, Corti, M, Caparelli, M, Ferretti, S, Marzola, L, Migliari, E, Carletti, N, Biavati, P, Petrucci, C, Serraino, D, Angelin, T, Bidoli, E, Birri, S, Dal Maso, L, De Dottori, M, De Santis, E, Forgiarini, O, Zucchetto, A, Zanier, L, Pannozzo, F, Busco, S, Rossi, M, Curatella, S, Bugliarello, E, Macci, L, Bernazza, E, Calabretta, F, Tamburrino, S, Sperduti, I, Tamburo, L, Serafini, G, Quarta, F, Melcarne, A, Golizia, MG, Arciprete, C, De Maria, V, Filiberti, RA, Casella, C, Marani, E, Puppo, A, Celesia, MV, Cogno, R, Vitarelli, S, Ricci, P, Autelitano, M, Ghilardi, S, Leone, R, Filipazzi, L, Bonini, A, Giubelli, C, Russo, AG, Quattrocchi, M, Distefano, R, Panciroli, E, Bellini, A, Pinon, M, Spinosa, S, Spagnoli, G, Carrozzi, G, Cirilli, C, Valla, K, Amendola, V, Fusco, M, Bellatalla, C, Ciullo, V, Di Buono, M, Fusco, M, Panico, M, Perrotta, C, Vitale, MF, Usala, M, Pala, F, Sini, GM, Pintori, N, Canu, L, Demurtas, G, Doa, N, Vitale, F, Cusimano, R, Traina, A, Guttadauro, A, Cascio, MA, Mannino, R, Ravazzolo, B, Brucculeri, MA, Rudisi, G, Adamo, MS, Amodio, R, Costa, A, Zarcone, M, Sunseri, R, Bucalo, G, Trapani, C, Staiti, R, Michiara, M, Bozzani, F, Sgargi, P, Boschetti, L, Migliazza, S, Reggiani, E, Incardona, N, Borciani, E, Seghini, P, Prazzoli, R, Zanetti, R, Rosso, S, Patriarca, S, Prandi, R, Sobrato, I, Gilardi, F, Busso, P, Sacchetto, L, Tumino, R, Cascone, G, Frasca, G, Giurdanella, MC, Martorana, C, Morana, G, Nicita, C, Rollo, PC, Ruggeri, MG, Spata, E, Vacirca, S, Mangone, L, Vicentini, M, Di Felice, E, Pezzarossi, A, Ferrari, F, Roncaglia, F, Sacchettini, C, Caroli, S, Falcini, F, Colamartini, A, Bucchi, L, Balducci, C, Ravegnani, M, Vitali, B, Cordaro, C, Caprara, L, Giuliani, O, Giorgetti, S, Palumbo, M, Vattiato, R, Ravaioli, A, Mancini, S, Caiazzo, AL, Cavallo, R, Colavolpe, AFG, D'Alessandro, A, Iannelli, A, Lombardo, C, Senatore, G, Sensi, F, Cesaraccio, R, Pirino, D, Mura, F, Contrino, ML, Madeddu, A, Tisano, F, Dinaro, Y, Muni, A, Mizzi, M, Bella, F, Rossitto, L, Sacco, G, Aletta, P, Colanino Ziino, A, Maspero, S, Fanetti, AC, Cometti, I, Cecconami, L, Minerba, S, Mincuzzi, A, Carone, S, Tanzarella, M, Galluzzo, C, Barchielli, A, Buzzoni, C, Caldarella, A, Corbinelli, A, Intrieri, T, Di Dia, PP, Manneschi, G, Nemcova, L, Visioli, C, Zappa, M, Candela, G, Scuderi, T, Crapanzano, G, Taranto, V, Piffer, S, Gentilini, M, Rizzello, R, Bombarda, L, Pedron, M, Clivati, E, Stracci, F, D'Alò, D, Scheibel, M, Costarelli, D, Spano, F, Rossini, S, Santucci, C, Petrinelli, AM, Solimene, C, Bianconi, F, Brunori, V, Tagliabue, G, Contiero, P, Tittarelli, A, Fabiano, S, Maghini, A, Codazzi, T, Barigelletti, G, D'Agostino, A, Modonesi, C, Rugge, M, Baracco, M, Baracco, S, Bovo, E, Dal Cin, A, Fiore, AR, Greco, A, Guzzinati, S, Martin, G, Memo, L, Monetti, D, Rizzato, S, Rosano, A, Stocco, C, Tognazzo, S, Zorzi, M, Brustolin, A, Beggiato, S, Aniceti, S, Fiocchetti, L, Schirra, G, Galeotti, P, Capati, A, Nami, A, Montanaro, M, Verrico, G, Poleggi, F, Rashid, I, Grappasonni, I, Pascucci, C, Merletti, F, Magnani, C, Pastore, G, Terracini, B, Alessi, D, Cena, T, Lazzarato, F, Macerata, V, Maule, M, Mosso, ML, Sacerdote, C, Romanelli, A, Mangone, L, Storchi, C, Sala, O, Gabbi, C, Gennaro, V, Benfatto, L, Malacarne, D, Lando, C, Campi, MG, Mazzucco, G, Ponz de Leon, M, Domati, F, Rossi, G, Goldoni, CA, Kaleci, S, Rossi, F, Benatti, P, Roncucci, L, Di Gregorio, C, Magnani, G, Pedroni, M, Maffei, S, Mariani, F, Reggiani-Bonetti, L, Sassatelli, R, Cassetti, T, Giorgi Rossi, P, and Vicentini, M

Abstract

Introduction The epidemiology of lung cancer is changing worldwide, with smoking being the key driver of lung cancer incidence and mortality. Our aim is to analyze the incidence, survival and mortality trends in Italy in the framework of the 2017 survey on smoking behavior in Italy.Methods AIRTUM 2017 reports on cancer survival and incidence; 2017 survey on smoking behavior in Italy.Results Men achieved progress in lung cancer control characterized by a decrease in incidence and mortality and an increase in survival. The decreasing use of tobacco in men (from 60% in the 1960s to 24% in 2017) was most likely responsible for the decreasing incidence and mortality. Women showed no progress: although survival improved slightly, the incidence and mortality were both on the rise. This was most likely due to the increasing smoking rates in women in the 1970s and 80s. Of major concern is the accelerated rise in the number of smoking women from 4.6 million in 2016 to 5.7 million in 2017 compared to the decrease observed in men (from 6.9 to 6 million).Conclusions The incidence and mortality trends in males clearly demonstrate that primary prevention is the most effective way to reduce lung cancer mortality. By contrast, a 24% increase in the prevalence of smoking among women in just 1 year is extremely worrying for the future, and calls for immediate action by targeted strategies to reduce tobacco consumption in women and avert the dreadful prospect of a lung cancer epidemic in Italy.

Published
2017
Full Text
View/download PDF

34. Laboratory investigation of monoclonal gammopathy during 10 years of screening in a general hospital.

Author

Malacrida, V, De Francesco, D, Banfi, G, Porta, F A, and Riches, P G

Abstract

Protein electrophoresis was carried out on 102,000 samples from the patients of a district general hospital over 10 years, and a monoclonal protein was detected in 730 cases; of these, 114 could be classified as B cell malignancies and 261 as monoclonal gammopathy of undefined significance (MGUS). The various clinical and laboratory features of monoclonal gammopathy were examined with respect to distinguishing the malignant conditions from MGUS at first presentation. [ABSTRACT FROM PUBLISHER]

Published
1987

36. Non-nucleoside reverse transcriptase inhibitor-based combination antiretroviral therapy is associated with lower cell- associated HIV RNA and DNA levels compared to protease inhibitor-based therapy

Author

O Erlwein, A Winston, Peter Reiss, J Villaudy, B Berkhout, M. van der Valk, DP Benschop, A Kalsbeek, Ben Berkhout, M Martens, C Kingsley, T Booiman, Neeltje A. Kootstra, M Wezel, M Moreno-Villanueva, Paolo Garagnani, N Doyle, S Salvioli, BC Elsenga, JA ter Stege, T van der Kuyl, T Su, FR Janssen, BA Schmand, MM Mangas Ruiz, T Sindlinger, I Maurer, A Bürkle, M Capri, W Zikkenheiner, C Libert, M Chiricolo, Robert Leech, Ferdinand Wnm Wit, J Pothof, Caroline A. Sabin, Cblm Majoie, M Gisslén, A Lovell, Mmj Hillebregt, S Zaheri, I Visser, Claudio Franceschi, M de Graaff-Teulen, Alexander O. Pasternak, S Kovalev, M Prins, M Totté, NA Kootstra, H Zetterberg, D de Francesco, JH Cole, K Legg, Mwa Caan, J Schouten, M Klein Twennaar, Jelmer Vroom, J Berkel, AF Girigorie, P Reiss, S Moll, S Dewaele, K Weijer, D Fuchs, Marijn de Bruin, Alan Winston, Chiara Pirazzini, R.A. van Zoest, F Dall'Olio, Davide De Francesco, David J. Sharp, A Keller, AM Harskamp-Holwerda, J Underwood, F. W. Wit, GJ Geurtsen, P Portegies, Ymc Ruijs, M Stott, Margreet Bakker, M Heidenrijk, KW Kooij, Phlt Bisschop, G Guaraldi, L McDonald, C Sabin, AO Pasternak, J Hoeijmakers, Jan M. Prins, HG Ruhé, E Frankin, D Burger, Commission of the European Communities, National Institute for Health Research, and Pasternak AO, Vroom J, Kootstra NA, Wit FW, de Bruin M, De Francesco D, Bakker M, Sabin CA, Winston A, Prins JM, Reiss P, Berkhout B. Collaboratori C Franceschi, P Garagnani, C Pirazzini, M Capri, F Dall'Olio, M Chiricolo, S Salvioli

Subjects
Life Sciences & Biomedicine - Other Topics, DYNAMICS, Male, PROVIRUSES PRODUCE, medicine, Time Factors, Co-morBidity in Relation to Aids (COBRA) Collaboration, HIV Infections, Virus Replication, 0601 Biochemistry and Cell Biology, Nucleoside Reverse Transcriptase Inhibitor, chemistry.chemical_compound, Transcription (biology), virus infection, Biology (General), Randomized Controlled Trials as Topic, INFECTED PATIENTS, Reverse-transcriptase inhibitor, General Neuroscience, virus diseases, General Medicine, Middle Aged, Viral Load, Europe, Treatment Outcome, viru, RNA, Viral, Reverse Transcriptase Inhibitors, Drug Therapy, Combination, Female, Life Sciences & Biomedicine, medicine.drug, Adult, antiviral drug, Nevirapine, Efavirenz, QH301-705.5, RALTEGRAVIR INTENSIFICATION, Science, infectious disease, VIREMIA, virus, General Biochemistry, Genetics and Molecular Biology, Virus, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], antiviral drugs, All institutes and research themes of the Radboud University Medical Center, Humans, Protease inhibitor (pharmacology), Biology, Science & Technology, General Immunology and Microbiology, business.industry, PERSISTENCE, microbiology, RNA, HIV, HIV Protease Inhibitors, Virology, IMMUNE ACTIVATION, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], Cross-Sectional Studies, chemistry, REPLICATION, DNA, Viral, RESERVOIR, business, DECAY
Abstract

Background:It remains unclear whether combination antiretroviral therapy (ART) regimens differ in their ability to fully suppress human immunodeficiency virus (HIV) replication. Here, we report the results of two cross-sectional studies that compared levels of cell-associated (CA) HIV markers between individuals receiving suppressive ART containing either a non-nucleoside reverse transcriptase inhibitor (NNRTI) or a protease inhibitor (PI).Methods:CA HIV unspliced RNA and total HIV DNA were quantified in two cohorts (n = 100, n = 124) of individuals treated with triple ART regimens consisting of two nucleoside reverse transcriptase inhibitors (NRTIs) plus either an NNRTI or a PI. To compare CA HIV RNA and DNA levels between the regimens, we built multivariable models adjusting for age, gender, current and nadir CD4+ count, plasma viral load zenith, duration of virological suppression, NRTI backbone composition, low-level plasma HIV RNA detectability, and electronically measured adherence to ART.Results:In both cohorts, levels of CA HIV RNA and DNA strongly correlated (rho = 0.70 and rho = 0.54) and both markers were lower in NNRTI-treated than in PI-treated individuals. In the multivariable analysis, CA RNA in both cohorts remained significantly reduced in NNRTI-treated individuals (padj = 0.02 in both cohorts), with a similar but weaker association between the ART regimen and total HIV DNA (padj = 0.048 and padj = 0.10). No differences in CA HIV RNA or DNA levels were observed between individual NNRTIs or individual PIs, but CA HIV RNA was lower in individuals treated with either nevirapine or efavirenz, compared to PI-treated individuals.Conclusions:All current classes of antiretroviral drugs only prevent infection of new cells but do not inhibit HIV RNA transcription in long-lived reservoir cells. Therefore, these differences in CA HIV RNA and DNA levels by treatment regimen suggest that NNRTIs are more potent in suppressing HIV residual replication than PIs, which may result in a smaller viral reservoir size.Funding:This work was supported by ZonMw (09120011910035) and FP7 Health (305522).

Published
2021

37. Hierarchical modeling of indoor radon concentration: how much do geology and building factors matter?

Author

Davide De Francesco, Nikos Tzavidis, Daniela de Bartolo, Riccardo Borgoni, Borgoni, R, De Francesco, D, DE BARTOLO, D, and Tzavidis, N

Subjects
Pollution, Health, Toxicology and Mutagenesis, media_common.quotation_subject, chemistry.chemical_element, Radon, Soil, Natural gas, Floor effect, Environmental Chemistry, Waste Management and Disposal, Background radiation, media_common, Hierarchical modeling, business.industry, Construction Materials, Soil gas, Environmental engineering, Floor level, General Medicine, Indoor radon concentration, Models, Theoretical, Building factor, Residential radon, Construction Material, Hierarchical mixed model, chemistry, Italy, Air Pollutants, Radioactive, Air Pollution, Indoor, Housing, business, Geology
Abstract

Radon is a natural gas known to be the main contributor to natural background radiation exposure and only second to smoking as major leading cause of lung cancer. The main concern is in indoor environments where the gas tends to accumulate and can reach high concentrations. The primary contributor of this gas into the building is from the soil although architectonic characteristics, such as building materials, can largely affect concentration values. Understanding the factors affecting the concentration in dwellings and workplaces is important both in prevention, when the construction of a new building is being planned, and in mitigation when the amount of Radon detected inside a building is too high. In this paper we investigate how several factors, such as geologic typologies of the soil and a range of building characteristics, impact on indoor concentration focusing, in particular, on how concentration changes as a function of the floor level. Adopting a mixed effects model to account for the hierarchical nature of the data, we also quantify the extent to which such measurable factors manage to explain the variability of indoor radon concentration.

Published
2014

40. Hospital-Based Influenza and Pneumococcal Vaccination for Cancer Patients on Active Treatment and Their Family Members during the COVID-19 Pandemic in Italy: A Single-Center Experience.

Author

Dalu D, Ridolfo AL, Ruggieri L, Cona MS, Riva A, De Francesco D, Tricella C, Fasola C, Ferrario S, Gambaro A, Lombardi Stocchetti B, Smiroldo V, Rebecchi G, Piva S, Carrozzo G, Antinori S, and La Verde N

Abstract

In patients with cancer, tumor- and treatment-induced immunosuppression are responsible for a four-fold increase in morbidity and mortality caused by influenza and invasive Streptococcus pneumoniae infections compared to the general population. The main oncology societies strongly recommend vaccination in patients with cancer to prevent these infections. However, vaccine hesitancy is a main concern in this population. The aim of this study was to assess the feasibility of in-hospital vaccination for patients under anticancer treatment and their family members (FMs) against influenza and pneumococcal infections during the COVID-19 pandemic in order to increase vaccine coverage. This was a single-center, prospective, observational study conducted at the Department of Oncology of Luigi Sacco University Hospital (Milan, Italy) between October 2020 and April 2021. The main primary outcome was the incidence of influenza-like illness (ILI) and pneumococcal infections. The main secondary outcome was safety. A total of 341 subjects were enrolled, including 194 patients with cancer and 147 FMs. The incidence of ILI was higher among patients than among FMs (9% vs. 2.7%, OR 3.92, p = 0.02). Moreover, two subjects were diagnosed with pneumococcal pneumonia. The most frequent vaccine-related AEs were pain in the injection site (31%) and fatigue (8.7%). In conclusion, this hospital-based vaccination strategy was feasible during the COVID-19 pandemic, representing a potential model to maximize vaccine coverage during a public health emergency.

Published
2024
Full Text
View/download PDF

41. Antibody response to three-dose anti-SARS-CoV-2 mRNA-vaccination in treated solid cancer patients.

Author

Dalu D, Tarkowski M, Ruggieri L, Cona MS, Gabrieli A, De Francesco D, Fasola C, Ferrario S, Gambaro A, Masedu E, Parma G, Rulli E, De Stradis C, Mavilio D, Calcaterra F, Manoni F, Riva A, and La Verde N

Subjects
Male, Humans, Middle Aged, Female, Antibody Formation, Cohort Studies, Retrospective Studies, SARS-CoV-2, Vaccination, RNA, Messenger genetics, Antibodies, Viral, COVID-19 prevention & control, Neoplasms drug therapy, Vaccines
Abstract

Solid cancer patients are at higher risk of SARS-CoV-2 infection and severe complications. Moreover, vaccine-induced antibody response is impaired in patients on anticancer treatment. In this retrospective, observational, hypothesis-generating, cohort study, we assessed the antibody response to the third dose of mRNA vaccine in a convenience sample of patients on anticancer treatment, comparing it to that of the primary two-dose cycle. Among 99 patients included, 62.6% were ≥60 years old, 32.3% males, 67.7% with advanced disease. Exactly 40.4% were receiving biological therapy, 16.2% chemotherapy only and 7.1% both treatments. After the third dose, seroconversion rate seems to increase significantly, especially in non-responders to two doses. Heterologous vaccine-type regimen (two-dose mRNA-1273 and subsequent tozinameran or vice versa) results in higher antibody levels. This explorative study suggests that repeated doses of mRNA-vaccines could be associated with a better antibody response in this population. Furthermore, heterologous vaccine-type three-dose vaccination seems more effective in this population. Since this is a hypothesis-generating study, adequately statistically powered studies should validate these results., (© 2023 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)

Published
2024
Full Text
View/download PDF

42. Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity.

Author

Ravindra NG, Espinosa C, Berson E, Phongpreecha T, Zhao P, Becker M, Chang AL, Shome S, Marić I, De Francesco D, Mataraso S, Saarunya G, Thuraiappah M, Xue L, Gaudillière B, Angst MS, Shaw GM, Herzog ED, Stevenson DK, England SK, and Aghaeepour N

Abstract

Preterm birth (PTB) is the leading cause of infant mortality globally. Research has focused on developing predictive models for PTB without prioritizing cost-effective interventions. Physical activity and sleep present unique opportunities for interventions in low- and middle-income populations (LMICs). However, objective measurement of physical activity and sleep remains challenging and self-reported metrics suffer from low-resolution and accuracy. In this study, we use physical activity data collected using a wearable device comprising over 181,944 h of data across N = 1083 patients. Using a new state-of-the art deep learning time-series classification architecture, we develop a 'clock' of healthy dynamics during pregnancy by using gestational age (GA) as a surrogate for progression of pregnancy. We also develop novel interpretability algorithms that integrate unsupervised clustering, model error analysis, feature attribution, and automated actigraphy analysis, allowing for model interpretation with respect to sleep, activity, and clinical variables. Our model performs significantly better than 7 other machine learning and AI methods for modeling the progression of pregnancy. We found that deviations from a normal 'clock' of physical activity and sleep changes during pregnancy are strongly associated with pregnancy outcomes. When our model underestimates GA, there are 0.52 fewer preterm births than expected (P = 1.01e - 67, permutation test) and when our model overestimates GA, there are 1.44 times (P = 2.82e - 39, permutation test) more preterm births than expected. Model error is negatively correlated with interdaily stability (P = 0.043, Spearman's), indicating that our model assigns a more advanced GA when an individual's daily rhythms are less precise. Supporting this, our model attributes higher importance to sleep periods in predicting higher-than-actual GA, relative to lower-than-actual GA (P = 1.01e - 21, Mann-Whitney U). Combining prediction and interpretability allows us to signal when activity behaviors alter the likelihood of preterm birth and advocates for the development of clinical decision support through passive monitoring and exercise habit and sleep recommendations, which can be easily implemented in LMICs., (© 2023. The Author(s).)

Published
2023
Full Text
View/download PDF

43. Cross-species comparative analysis of single presynapses.

Author

Berson E, Gajera CR, Phongpreecha T, Perna A, Bukhari SA, Becker M, Chang AL, De Francesco D, Espinosa C, Ravindra NG, Postupna N, Latimer CS, Shively CA, Register TC, Craft S, Montine KS, Fox EJ, Keene CD, Bendall SC, Aghaeepour N, and Montine TJ

Subjects
Humans, Animals, Mice, Cerebral Cortex, Lipid Metabolism, Macaca, Synaptic Transmission, Brain
Abstract

Comparing brain structure across species and regions enables key functional insights. Leveraging publicly available data from a novel mass cytometry-based method, synaptometry by time of flight (SynTOF), we applied an unsupervised machine learning approach to conduct a comparative study of presynapse molecular abundance across three species and three brain regions. We used neural networks and their attractive properties to model complex relationships among high dimensional data to develop a unified, unsupervised framework for comparing the profile of more than 4.5 million single presynapses among normal human, macaque, and mouse samples. An extensive validation showed the feasibility of performing cross-species comparison using SynTOF profiling. Integrative analysis of the abundance of 20 presynaptic proteins revealed near-complete separation between primates and mice involving synaptic pruning, cellular energy, lipid metabolism, and neurotransmission. In addition, our analysis revealed a strong overlap between the presynaptic composition of human and macaque in the cerebral cortex and neostriatum. Our unique approach illuminates species- and region-specific variation in presynapse molecular composition., (© 2023. Springer Nature Limited.)

Published
2023
Full Text
View/download PDF

44. Prediction of neuropathologic lesions from clinical data.

Author

Phongpreecha T, Cholerton B, Bukhari S, Chang AL, De Francesco D, Thuraiappah M, Godrich D, Perna A, Becker MG, Ravindra NG, Espinosa C, Kim Y, Berson E, Mataraso S, Sha SJ, Fox EJ, Montine KS, Baker LD, Craft S, White L, Poston KL, Beecham G, Aghaeepour N, and Montine TJ

Subjects
Humans, Comorbidity, Neuropathology, Biomarkers, Alzheimer Disease pathology
Abstract

Introduction: Post-mortem analysis provides definitive diagnoses of neurodegenerative diseases; however, only a few can be diagnosed during life., Methods: This study employed statistical tools and machine learning to predict 17 neuropathologic lesions from a cohort of 6518 individuals using 381 clinical features (Table S1). The multisite data allowed validation of the model's robustness by splitting train/test sets by clinical sites. A similar study was performed for predicting Alzheimer's disease (AD) neuropathologic change without specific comorbidities., Results: Prediction results show high performance for certain lesions that match or exceed that of research annotation. Neurodegenerative comorbidities in addition to AD neuropathologic change resulted in compounded, but disproportionate, effects across cognitive domains as the comorbidity number increased., Discussion: Certain clinical features could be strongly associated with multiple neurodegenerative diseases, others were lesion-specific, and some were divergent between lesions. Our approach could benefit clinical research, and genetic and biomarker research by enriching cohorts for desired lesions., (© 2023 the Alzheimer's Association.)

Published
2023
Full Text
View/download PDF

45. Percutaneous Vertebral Reconstruction (PVR) Technique of Pathological Compression Fractures: An Innovative Combined Treatment of Microwave Ablation, Bilateral Expandable Titanium SpineJack Implants Followed by Vertebroplasty.

Author

Pusceddu C, Marsico S, Derudas D, Ballicu N, Melis L, Zedda S, de Felice C, Calabrese A, De Francesco D, Venturini M, Santucci D, and Faiella E

Abstract

(1) Background: to retrospectively evaluate safety and efficacy of combined microwave ablation (MWA) and bilateral expandable titanium SpineJack (SJ) implants followed by vertebroplasty (VP) for the treatment of painful thoracolumbar pathological vertebral compression fracture. (2) Methods: from July 2017 to October 2022, twenty-eight patients (13 women and 15 men; mean age 68 ± 11 years) with a history of primary neoplasm and thirty-six painful vertebral metastases with vertebral compression fracture underwent combined MWA and bilateral expandable titanium SpineJack implants with vertebroplasty. We analyzed safety through complications rate, and efficacy through vertebral height restoration and pain decrease, evaluated using a visual analogue scale (VAS), and Functional Mobility Scale (FMS), and local tumor control. Contrast-enhanced CT scans were performed at 1, 3, and 6 months and a contrast-enhanced spine MRI at 6 months after the procedure. (3) Results: Technical success rate was 100%. No procedure-related major complications or death occurred. Vertebral height restoration was observed in 22 levels (58%), with a mean anterior height restoration of 2.6 mm ± 0.6 and a mean middle height restoration of 4.4 mm ± 0.6 ( p < 0.001). Mean VAS score of pain evaluation on the day before treatment was 6.3 ± 1.5 (range 4-9). At the 6-month evaluation, the median VAS score for pain was 0.4 ± 0.6 (range 0-2) with a mean reduction of 93.65% (6.8 ± 0.7 vs. 0.4 ± 0.6; p < 0.000) compared with baseline evaluation. Contrast-enhanced CT scans were performed at 1, 3, and 6 months and a contrast-enhanced spine MRI was performed at 6 months after the procedure, showing no local recurrence, implant displacement, or new fractures in the treated site. (4) Conclusions: combined microwave ablation and bilateral expandable titanium SpineJack implants with vertebroplasty is a safe and effective procedure for the treatment of pathological compressive vertebral fractures. The vertebral stabilization achieved early and persistent pain relief, increasing patient mobility, improving recovery of walking capacity, and providing local tumor control.

Published
2023
Full Text
View/download PDF

46. Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries.

Author

Espinosa CA, Khan W, Khanam R, Das S, Khalid J, Pervin J, Kasaro MP, Contrepois K, Chang AL, Phongpreecha T, Michael B, Ellenberger M, Mehmood U, Hotwani A, Nizar A, Kabir F, Wong RJ, Becker M, Berson E, Culos A, De Francesco D, Mataraso S, Ravindra N, Thuraiappah M, Xenochristou M, Stelzer IA, Marić I, Dutta A, Raqib R, Ahmed S, Rahman S, Hasan ASMT, Ali SM, Juma MH, Rahman M, Aktar S, Deb S, Price JT, Wise PH, Winn VD, Druzin ML, Gibbs RS, Darmstadt GL, Murray JC, Stringer JSA, Gaudilliere B, Snyder MP, Angst MS, Rahman A, Baqui AH, Jehan F, Nisar MI, Vwalika B, Sazawal S, Shaw GM, Stevenson DK, and Aghaeepour N

Subjects
Infant, Newborn, Pregnancy, Child, Humans, Female, Developing Countries, Multiomics, Proteomics, Chemokines, CC, Premature Birth epidemiology
Abstract

Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery ( r = 0.65), maternal age ( r = 0.59), gravidity ( r = 0.56), and BMI ( r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.

Published
2023
Full Text
View/download PDF

47. In-silico generation of high-dimensional immune response data in patients using a deep neural network.

Author

Fallahzadeh R, Bidoki NH, Stelzer IA, Becker M, Marić I, Chang AL, Culos A, Phongpreecha T, Xenochristou M, De Francesco D, Espinosa C, Berson E, Verdonk F, Angst MS, Gaudilliere B, and Aghaeepour N

Subjects
Humans, Proteomics, Neural Networks, Computer, Machine Learning
Abstract

Technologies for single-cell profiling of the immune system have enabled researchers to extract rich interconnected networks of cellular abundance, phenotypical and functional cellular parameters. These studies can power machine learning approaches to understand the role of the immune system in various diseases. However, the performance of these approaches and the generalizability of the findings have been hindered by limited cohort sizes in translational studies, partially due to logistical demands and costs associated with longitudinal data collection in sufficiently large patient cohorts. An evolving challenge is the requirement for ever-increasing cohort sizes as the dimensionality of datasets grows. We propose a deep learning model derived from a novel pipeline of optimal temporal cell matching and overcomplete autoencoders that uses data from a small subset of patients to learn to forecast an entire patient's immune response in a high dimensional space from one timepoint to another. In our analysis of 1.08 million cells from patients pre- and post-surgical intervention, we demonstrate that the generated patient-specific data are qualitatively and quantitatively similar to real patient data by demonstrating fidelity, diversity, and usefulness., (© 2022 International Society for Advancement of Cytometry.)

Published
2023
Full Text
View/download PDF

48. Large-scale correlation network construction for unraveling the coordination of complex biological systems.

Author

Becker M, Nassar H, Espinosa C, Stelzer IA, Feyaerts D, Berson E, Bidoki NH, Chang AL, Saarunya G, Culos A, De Francesco D, Fallahzadeh R, Liu Q, Kim Y, Marić I, Mataraso SJ, Payrovnaziri SN, Phongpreecha T, Ravindra NG, Stanley N, Shome S, Tan Y, Thuraiappah M, Xenochristou M, Xue L, Shaw G, Stevenson D, Angst MS, Gaudilliere B, and Aghaeepour N

Abstract

Advanced measurement and data storage technologies have enabled high-dimensional profiling of complex biological systems. For this, modern multiomics studies regularly produce datasets with hundreds of thousands of measurements per sample, enabling a new era of precision medicine. Correlation analysis is an important first step to gain deeper insights into the coordination and underlying processes of such complex systems. However, the construction of large correlation networks in modern high-dimensional datasets remains a major computational challenge owing to rapidly growing runtime and memory requirements. Here we address this challenge by introducing CorALS (Correlation Analysis of Large-scale (biological) Systems), an open-source framework for the construction and analysis of large-scale parametric as well as non-parametric correlation networks for high-dimensional biological data. It features off-the-shelf algorithms suitable for both personal and high-performance computers, enabling workflows and downstream analysis approaches. We illustrate the broad scope and potential of CorALS by exploring perspectives on complex biological processes in large-scale multiomics and single-cell studies., Competing Interests: Competing interests The authors declare no competing interests.

Published
2023
Full Text
View/download PDF

49. Objective Activity Parameters Track Patient-specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune States.

Author

Fallahzadeh R, Verdonk F, Ganio E, Culos A, Stanley N, Maric I, Chang AL, Becker M, Phongpreecha T, Xenochristou M, De Francesco D, Espinosa C, Gao X, Tsai A, Sultan P, Tingle M, Amanatullah DF, Huddleston JI, Goodman SB, Gaudilliere B, Angst MS, and Aghaeepour N

Subjects
Humans, Monocytes, Physical Examination, Postoperative Period, Benchmarking, Exercise
Abstract

Objective: The longitudinal assessment of physical function with high temporal resolution at a scalable and objective level in patients recovering from surgery is highly desirable to understand the biological and clinical factors that drive the clinical outcome. However, physical recovery from surgery itself remains poorly defined and the utility of wearable technologies to study recovery after surgery has not been established., Background: Prolonged postoperative recovery is often associated with long-lasting impairment of physical, mental, and social functions. Although phenotypical and clinical patient characteristics account for some variation of individual recovery trajectories, biological differences likely play a major role. Specifically, patient-specific immune states have been linked to prolonged physical impairment after surgery. However, current methods of quantifying physical recovery lack patient specificity and objectivity., Methods: Here, a combined high-fidelity accelerometry and state-of-the-art deep immune profiling approach was studied in patients undergoing major joint replacement surgery. The aim was to determine whether objective physical parameters derived from accelerometry data can accurately track patient-specific physical recovery profiles (suggestive of a 'clock of postoperative recovery'), compare the performance of derived parameters with benchmark metrics including step count, and link individual recovery profiles with patients' preoperative immune state., Results: The results of our models indicate that patient-specific temporal patterns of physical function can be derived with a precision superior to benchmark metrics. Notably, 6 distinct domains of physical function and sleep are identified to represent the objective temporal patterns: ''activity capacity'' and ''moderate and overall activity (declined immediately after surgery); ''sleep disruption and sedentary activity (increased after surgery); ''overall sleep'', ''sleep onset'', and ''light activity'' (no clear changes were observed after surgery). These patterns can be linked to individual patients preopera-tive immune state using cross-validated canonical-correlation analysis. Importantly, the pSTAT3 signal activity in monocytic myeloid-derived suppressor cells predicted a slower recovery., Conclusions: Accelerometry-based recovery trajectories are scalable and objective outcomes to study patient-specific factors that drive physical recovery., Competing Interests: R.F., F.V., E.G., N.S., I.M., A.L.C., M.B., T.P., M.X., D.D.F., C.E., P.S., D.F.A., J.I.H., S.B.G., B.G., M.S.A., and N.A. contributed to conception and design. E.G., X.G., A.T., M.T., B.G., M.S.A, and N.A. acquired the data. R.F., F.V., A.C., B.G., M.S.A, and N.A. analyzed the data and interpreted the results. R.F., F.V., B.G., M.S.A., and N.A. wrote the manuscript with input from all authors. The authors report no conflicts of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

Published
2023
Full Text
View/download PDF

50. Data-driven longitudinal characterization of neonatal health and morbidity.

Author

De Francesco D, Reiss JD, Roger J, Tang AS, Chang AL, Becker M, Phongpreecha T, Espinosa C, Morin S, Berson E, Thuraiappah M, Le BL, Ravindra NG, Payrovnaziri SN, Mataraso S, Kim Y, Xue L, Rosenstein MG, Oskotsky T, Marić I, Gaudilliere B, Carvalho B, Bateman BT, Angst MS, Prince LS, Blumenfeld YJ, Benitz WE, Fuerch JH, Shaw GM, Sylvester KG, Stevenson DK, Sirota M, and Aghaeepour N

Subjects
Adult, Child, Infant, Newborn, Humans, Child, Preschool, Gestational Age, Morbidity, Risk Assessment, Infant Health, Infant, Premature
Abstract

Although prematurity is the single largest cause of death in children under 5 years of age, the current definition of prematurity, based on gestational age, lacks the precision needed for guiding care decisions. Here, we propose a longitudinal risk assessment for adverse neonatal outcomes in newborns based on a deep learning model that uses electronic health records (EHRs) to predict a wide range of outcomes over a period starting shortly before conception and ending months after birth. By linking the EHRs of the Lucile Packard Children's Hospital and the Stanford Healthcare Adult Hospital, we developed a cohort of 22,104 mother-newborn dyads delivered between 2014 and 2018. Maternal and newborn EHRs were extracted and used to train a multi-input multitask deep learning model, featuring a long short-term memory neural network, to predict 24 different neonatal outcomes. An additional cohort of 10,250 mother-newborn dyads delivered at the same Stanford Hospitals from 2019 to September 2020 was used to validate the model. Areas under the receiver operating characteristic curve at delivery exceeded 0.9 for 10 of the 24 neonatal outcomes considered and were between 0.8 and 0.9 for 7 additional outcomes. Moreover, comprehensive association analysis identified multiple known associations between various maternal and neonatal features and specific neonatal outcomes. This study used linked EHRs from more than 30,000 mother-newborn dyads and would serve as a resource for the investigation and prediction of neonatal outcomes. An interactive website is available for independent investigators to leverage this unique dataset: https://maternal-child-health-associations.shinyapps.io/shiny&#95;app/.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results