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1. Assessing Anxiety and Depression Among Students Post-COVID-19: Exploring Associating Factors

Author

Basheti IA, Assaraira TY, Obeidat NM, Al‐Abed Al‐haq F, and Refai M

Subjects
anxiety, depression, students, jordan, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract

Iman A Basheti,1,2 Thafer Yusif Assaraira,3 Nathir M Obeidat,4 Fawwaz Al‐Abed Al‐haq,5 Mashhoor Refai6 1Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan; 2School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; 3English Department, Mutah University, Al‐Karak, Jordan; 4Department of Internal Medicine, The University of Jordan, Amman, Jordan; 5Department of English Language and Literature, Hashemite University, Zarqa, Jordan; 6King Abdullah II School of Engineering, Princess Sumaya University for Technology, Amman, JordanCorrespondence: Iman A Basheti, Department of Clinical Pharmacy and Therapeutics, Applied Science Private University, Amman, 11931, Jordan, Email iman.basheti@sydney.edu.auBackground: The COVID-19 pandemic has had a large impact on global mental health including anxiety and depression rates, many factors affected the vulnerability to these psychological conditions amongst university students.Aim: To explore the level of anxiety and depression of university students living in Jordan.Methods: A cross-sectional study design was conducted in which an electronic survey was created and distributed, university students residing in Jordan participated in the study.Results: A total of 1241 students were enrolled in the study. The mean anxiety score among males and females was (9.68 (SD = 4.10)) and (10.46 (SD = 4.14)), respectively. 42.1% of males had “abnormal” anxiety score compared to 48.4% females. The mean depression score among males (7.77 (SD = 4.31)) was similar to that for the females (7.64 (SD = 4.14)), and 26.0% of the males had “abnormal” depression score compared to 22.6% of the females. Factors affecting anxiety scores included younger age, being a female, taking medication/s, or drinking two cups of coffee or more a day.Conclusion: With 46% and 24% of students suffering from abnormal anxiety and depression respectively, it is important for education policy makers to take immediate measures to allocate students in need of psychological assessment and help to deliver suitable interventions.Keywords: anxiety, depression, students, Jordan, psychological assessment

Published
2023

2. High-accuracy power series solutions with arbitrarily large radius of convergence for fractional nonlinear differential equations

Author

Khawaja, U. Al, Al-Refai, M., and Carr, Lincoln D.

Subjects
Condensed Matter - Statistical Mechanics, Nonlinear Sciences - Pattern Formation and Solitons
Abstract

Fractional nonlinear differential equations present an interplay between two common and important effective descriptions used to simplify high dimensional or more complicated theories: nonlinearity and fractional derivatives. These effective descriptions thus appear commonly in physical and mathematical modeling. We present a new series method providing systematic controlled accuracy for solutions of fractional nonlinear differential equations. The method relies on spatially iterative use of power series expansions. Our approach permits an arbitrarily large radius of convergence and thus solves the typical divergence problem endemic to power series approaches. We apply our method to the fractional nonlinear Schr\"odinger equation and its imaginary time rotation, the fractional nonlinear diffusion equation. For the fractional nonlinear Schr\"odinger equation we find fractional generalizations of cnoidal waves of Jacobi elliptic functions as well as a fractional bright soliton. For the fractional nonlinear diffusion equation we find the combination of fractional and nonlinear effects results in a more strongly localized solution which nevertheless still exhibits power law tails, albeit at a much lower density., Comment: 11 pages, 4 figures

Published
2016

3. Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?

Author

Mancuso, M., Pernazza, F., Refai, M., Srella, F., Argnani, D., Marulli, G., De Palma, A., Bortolotti, L., Rizzardi, G., Solli, P.G., Dolci, G.P., Perkmann, R., Zaraca, F., Benvenuti, M., Gavezzoli, D., Cherchi, R., Ferrari, P., Mucilli, F., Camplese, P., Melloni, G., Mazza, F., Cavallesco, G., Maniscalco, P., Voltolini, L., Gonfiotti, A., Sollitto, F., Ardò, N., Pariscenti, G.L., Risso, C., Surrente, C., Lopez, C., Droghetti, A., Giovanardi, M., Breda, C., Giudice, Lo F., Alloisio, M., Bottoni, E., Spaggiari, L., Gasparri, R., Torre, M., Rinaldo, A., Nosotti, M., Tosi, D., Negri, G.P., Bandiera, A., Baisi, A., Raveglia, F., Stefani, A., Natali, P., Scarci, M., Pirondini, E., Curcio, C., Amore, D., Rena, O., Nicotra, S., Dell’ Amore, A., Bertani, A., Tancredi, G., Ampollini, L., Carbognani, P., Puma, F., Vinci, D., Cardillo, G., Carleo, F., Margaritora, S., Meacci, E., Luzzi, L., Ghisalberti, M., Crisci, R., Divisi, D., Lausi, P., Guerrera, F., Fontana, D., Beffa, V. Della, Morelli, A., Londero, F., Imperatori, A., Rotolo, N., Terzi, A., Viti, A., Infante, M., Benato, C., Zaraca, Francesco, Pipitone, Marco, Feil, Birgit, Perkmann, Reinhold, Bertolaccini, Luca, Curcio, Carlo, and Crisci, Roberto

Published
2021
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4. Comparison of operative and postoperative characteristics and outcomes between thoracoscopic segmentectomy and lobectomy for non-small-cell lung cancer: a propensity score matching study from the Italian VATS Group Registry

Author

Dell'Amore, A., Lomangino, I., Cannone, G., Terzi, S., Pangoni, A., Lorenzoni, G., Nicotra, S., Schiavon, M., Zuin, A., Gregori, D., Crisci, R., Curcio, C., Rea, F., Mancuso, M., Pernazza, F., Refai, M., Bortolotti, L., Rizzardi, G., Solli, P., Brandolini, I., Perkmann, R., Zaraca, F., Benvenuti, M., Gavezzoli, D., Cherchi, R., Ferrari, P., Mucilli, F., Camplese, P., Melloni, G., Mazza, F., Cavallesco, G., Maniscalco, P., Voltolini, L., Gonfiotti, A., Stella, F., Argnani, D., Pariscenti, G. L., Iurilli, S., Surrente, C., Lopez, C., Droghett, A., Giovanardi, M., Breda, C., Lo Giudice, F., Alloisio, M., Bottoni, E., Spaggiari, L., Gasparri, R., Torre, M., Rinaldo, A., Nosotti, M., Rosso, L., Negri, G. P., Bandiera, A., Stefani, A., Natali, P., Scarci, M., Pirondini, E., Amore, D., Baietto, G., Casadio, C., Bertani, A., Russo, E., Ampollini, L., Carbognani, P., Puma, F., Vinci, D., Andreetti, C., Poggi, C., Cardillo, G., Margaritora, S., Meacci, E., Luzzi, L., Ghisalberti, M., Zaccagna, G., Lausi, P., Guerrera, F., Fontana, D., Della Beffa, V., Morelli, A., Londero, F., Imperatori, N., Rotolo, A., Terzi, A., Viti, A., Infante, M., and Benato, C.

Subjects
Segmentectomy, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Lung Neoplasms, medicine.medical_treatment, VATS lobectomy, Video-assisted thoracic surgery, Context (language use), Mastectomy, Segmental, Postoperative outcome, Postoperative Complications, Lobectomy, Non-small-cell lung cancer, Carcinoma, Non-Small-Cell Lung, Humans, Medicine, Registries, Thoracotomy, Pneumonectomy, Propensity Score, Lung cancer, Retrospective Studies, Thoracic Surgery, Video-Assisted, business.industry, Confounding, Postoperative complication, General Medicine, medicine.disease, Surgery, Propensity score matching, Non small cell, Cardiology and Cardiovascular Medicine, business
Abstract

OBJECTIVES Only few studies compared the surgical morbidity and mortality of thoracoscopic segmentectomy versus lobectomy for non-small-cell lung cancer, in particular, by relating the segmental resections with the corresponding anatomical lobes. METHODS We enrolled a total of 7487 patients who underwent VATS lobectomy (7269) or segmentectomy (218) from January 2014 to July 2019. A propensity score matching approach was used to account for potential confounding factors between the 2 groups. After matching, 349 lobectomies and 208 segmentectomies were included in the analysis. We analysed the operative and postoperative outcomes of video-assisted anatomical segmentectomy compared with video-assisted lobectomy and, in details, the results of segmentectomy with its corresponding lobectomy in a large cohort of patients from the Italian VATS Group Registry. RESULTS The overall conversion rate to thoracotomy was not statistically different between the groups (27 patients 8% vs 7 patients 3%, P = 0.1). The lobectomy group had a greater number of resected lymph nodes (median 11 vs 8, P = 0.006). No significant differences were detected in 30-day mortality (1.4%, 5 patients vs 0.9%, 2 patients), overall complications (18%, 62 patients vs 14%, 29 patients) and prolonged air leakage (31 patients, 9% vs 12 patients, 6%) between lobectomy and segmentectomy, respectively. No statistical differences were found regarding the median duration of drainage (3.2 days, P = 1) and the overall median length of hospital stay (6.4 days, P = 0.1) between the 2 groups. In the context of segmentectomy versus corresponding lobectomy, the right upper lobectomy compared with right upper segmentectomy showed a higher number of resected lymph nodes (P = 0.027). No statistical differences were reported in terms of conversion rate and postoperative complication and mortality. CONCLUSIONS Segmentectomy could be considered a safe procedure without significant differences compared to thoracoscopic lobectomy in terms of postoperative morbidity and mortality.

Published
2021

5. Quantifying Quality of Reaching Movements Longitudinally Post-Stroke:A Systematic Review

Author

Saes, M., Mohamed Refai, M. I., van Beijnum, B. J.F., Bussmann, J. B.J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E.H., Meskers, C. G.M., Krakauer, J. W., Kwakkel, G., Saes, M., Mohamed Refai, M. I., van Beijnum, B. J.F., Bussmann, J. B.J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E.H., Meskers, C. G.M., Krakauer, J. W., and Kwakkel, G.

Abstract

Background: Disambiguation of behavioral restitution from compensation is important to better understand recovery of upper limb motor control post-stroke and subsequently design better interventions. Measuring quality of movement (QoM) during standardized performance assays and functional tasks using kinematic and kinetic metrics potentially allows for this disambiguation. Objectives: To identify longitudinal studies that used kinematic and/or kinetic metrics to investigate post-stroke recovery of reaching and assess whether these studies distinguish behavioral restitution from compensation. Methods: A systematic literature search was conducted using the databases PubMed, Embase, Scopus, and Wiley/Cochrane Library up to July 1st, 2020. Studies were identified if they performed longitudinal kinematic and/or kinetic measurements during reaching, starting within the first 6 months post-stroke. Results: Thirty-two longitudinal studies were identified, which reported a total of forty-six different kinematic metrics. Although the majority investigated improvements in kinetics or kinematics to quantify recovery of QoM, none of these studies explicitly addressed the distinction between behavioral restitution and compensation. One study obtained kinematic metrics for both performance assays and a functional task. Conclusions: Despite the growing number of kinematic and kinetic studies on post-stroke recovery, longitudinal studies that explicitly seek to delineate between behavioral restitution and compensation are still lacking in the literature. To rectify this situation, future studies should measure kinematics and/or kinetics during performance assays to isolate restitution and during a standardized functional task to determine the contributions of restitution and compensation.

Published
2022

6. sj-pdf-1-nnr-10.1177_15459683211062890 ��� Supplemental Material for Combined Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review

Author

Saes, M., Mohamed Refai, M. I., van Beijnum, B. J. F., Bussmann, J. B. J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E. H., Meskers, C. G. M., Krakauer, J. W., and Kwakkel, G.

Subjects
FOS: Clinical medicine, 110308 Geriatrics and Gerontology, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental Material, sj-pdf-1-nnr-10.1177_15459683211062890 for Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review by M. Saes, M.I. Mohamed Refai, B.J.F. van Beijnum, J.B.J. Bussmann, E.P. Jansma, P.H. Veltink, J.H. Buurke, E.E.H. van Wegen, C.G.M. Meskers, J.W. Krakauer and G. Kwakkel in Neurorehabilitation and Neural Repair

Published
2022
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7. sj-pdf-2-nnr-10.1177_15459683211062890 ��� Supplemental Material for Combined Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review

Author

Saes, M., Mohamed Refai, M. I., van Beijnum, B. J. F., Bussmann, J. B. J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E. H., Meskers, C. G. M., Krakauer, J. W., and Kwakkel, G.

Subjects
FOS: Clinical medicine, 110308 Geriatrics and Gerontology, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental Material, sj-pdf-2-nnr-10.1177_15459683211062890 for Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review by Mique. Saes, Mohamed Irfan Mohamed Refai, Bert-Jan F. van Beijnum, J.B.J. Bussmann, E.P. Jansma, Peter.H. Veltink, Jaap.H. Buurke, Erwin.E.H. van Wegen, Carel.G.M. Meskers, John.W. Krakauer and Gert. Kwakkel in Neurorehabilitation and Neural Repair

Published
2022
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8. sj-pdf-5-nnr-10.1177_15459683211062890 ��� Supplemental Material for Combined Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review

Author

Saes, M., Mohamed Refai, M. I., van Beijnum, B. J. F., Bussmann, J. B. J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E. H., Meskers, C. G. M., Krakauer, J. W., and Kwakkel, G.

Subjects
FOS: Clinical medicine, 110308 Geriatrics and Gerontology, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental Material, sj-pdf-5-nnr-10.1177_15459683211062890 for Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review by Mique. Saes, Mohamed Irfan Mohamed Refai, Bert-Jan F. van Beijnum, J.B.J. Bussmann, E.P. Jansma, Peter.H. Veltink, Jaap.H. Buurke, Erwin.E.H. van Wegen, Carel.G.M. Meskers, John.W. Krakauer and Gert. Kwakkel in Neurorehabilitation and Neural Repair

Published
2022
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9. sj-pdf-3-nnr-10.1177_15459683211062890 ��� Supplemental Material for Combined Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review

Author

Saes, M., Mohamed Refai, M. I., van Beijnum, B. J. F., Bussmann, J. B. J., Jansma, E. P., Veltink, P. H., Buurke, J. H., van Wegen, E. E. H., Meskers, C. G. M., Krakauer, J. W., and Kwakkel, G.

Subjects
FOS: Clinical medicine, 110308 Geriatrics and Gerontology, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental Material, sj-pdf-3-nnr-10.1177_15459683211062890 for Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review by Mique. Saes, Mohamed Irfan Mohamed Refai, Bert-Jan F. van Beijnum, J.B.J. Bussmann, E.P. Jansma, Peter.H. Veltink, Jaap.H. Buurke, Erwin.E.H. van Wegen, Carel.G.M. Meskers, John.W. Krakauer and Gert. Kwakkel in Neurorehabilitation and Neural Repair

Published
2022
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11. Uniportal and three-portal video-assisted thoracic surgery lobectomy: analysis of the Italian video-assisted thoracic surgery group database

Author

Tosi, D, Nosotti, M, Bonitta, G, Mazzucco, A, Righi, I, Mendogni, P, Rosso, L, Palleschi, A, Rocco, G, Crisci, R, Mancuso, M, Pernazza, F, Refai, M, Bortolotti, L, Rizzardi, G, Gargiulo, G, Dolci, Gp, Perkmann, R, Zaraca, F, Benvenuti, M, Gavezzoli, D, Cherchi, R, Ferrari, P, Mucilli, F, Camplese, P, Melloni, G, Mazza, F, Cavallesco, G, Maniscalco, P, Voltolini, L, Gonfiotti, A, Stella, F, Argnani, D, Pariscenti, Gl, Lurilli, Surrente, C, Lopez, C, Droghetti, A, Giovanardi, M, Breda, C, Lo Giudice, F, Alloisio, M, Bottoni, E, Spaggiari, L, Gasparri, R, Torre, M, Rinaldo, A, Negri, Gp, Bandiera, A, Stefani, A, Natali, P, Scarci, M, Pirondini, E, Curcio, C, Amore, D, Baietto, G, Casadio, C, Nicotra, S, Dell'Amore, A, Bertani, A, Russo, E, Ampollini, L, Carbognani, P, Puma, F, Vinci, D, Andreetti, C, Poggi, C, Cardillo, G, Margaritora, S, Meacci, Elisa, Luzzi, L, Ghisalberti, M, Zaccagna, G, Lausi, P, Guerrera, F, Fontana, D, Della Beffa, V, Morelli, A, Londero, F, Imperatori, A, Rotolo, N, Terzi, A, Viti, A, Infante, M, Benato, C, Tosi, D., Nosotti, M., Bonitta, G., Mazzucco, A., Righi, I., Mendogni, P., Rosso, L., Palleschi, A., Rocco, G., Crisci, R., Mancuso, M., Pernazza, F., Refai, M., Bortolotti, L., Rizzardi, G., Gargiulo, G., Dolci, G. P., Perkmann, R., Zaraca, F., Benvenuti, M., Gavezzoli, D., Cherchi, R., Ferrari, P., Mucilli, F., Camplese, P., Melloni, G., Mazza, F., Cavallesco, G., Maniscalco, P., Voltolini, L., Gonfiotti, A., Stella, F., Argnani, D., Pariscenti, G. L., Surrente, C., Lopez, C., Droghetti, A., Giovanardi, M., Breda, C., Lo Giudice, F., Alloisio, M., Bottoni, E., Spaggiari, L., Gasparri, R., Torre, M., Rinaldo, A., Negri, G, Bandiera, A., Stefani, A., Natali, P., Scarci, M., Pirondini, E., Curcio, C., Amore, D., Baietto, G., Casadio, C., Nicotra, S., Dell'Amore, A., Bertani, A., Russo, E., Ampollini, L., Carbognani, P., Puma, F., Vinci, D., Andreetti, C., Poggi, C., Cardillo, G., Margaritora, S., Meacci, E., Luzzi, L., Ghisalberti, M., Zaccagna, G., Lausi, P., Guerrera, F., Fontana, D., Della Beffa, V., Morelli, A., Londero, F., Imperatori, A., Rotolo, N., Terzi, A., Viti, A., Infante, M., Benato, C., Tosi D., Nosotti M., Bonitta G., Mazzucco A., Righi I., Mendogni P., Rosso L., Palleschi A., Rocco G., Crisci R., Mancuso M., Pernazza F., Refai M., Bortolotti L., Rizzardi G., Gargiulo G., Dolci G.P., Perkmann R., Zaraca F., Benvenuti M., Gavezzoli D., Cherchi R., Ferrari P., Mucilli F., Camplese P., Melloni G., Mazza F., Cavallesco G., Maniscalco P., Voltolini L., Gonfiotti A., Stella F., Argnani D., Pariscenti G.L., Surrente C., Lopez C., Droghetti A., Giovanardi M., Breda C., Lo Giudice F., Alloisio M., Bottoni E., Spaggiari L., Gasparri R., Torre M., Rinaldo A., Negri G.P., Bandiera A., Stefani A., Natali P., Scarci M., Pirondini E., Curcio C., Amore D., Baietto G., Casadio C., Nicotra S., Dell'amore A., Bertani A., Russo E., Ampollini L., Carbognani P., Puma F., Vinci D., Andreetti C., Poggi C., Cardillo G., Margaritora S., Meacci E., Luzzi L., Ghisalberti M., Zaccagna G., Lausi P., Guerrera F., Fontana D., Della Beffa V., Morelli A., Londero F., Imperatori A., Rotolo N., Terzi A., Viti A., Infante M., and Benato C.

Subjects
Male, Lung Neoplasms, Thoracic, Italian VATS Group, computer.software_genre, Postoperative pain, Settore MED/21 - CHIRURGIA TORACICA, Carcinoma, Non-Small-Cell Lung, Lobectomy, Three-portal, Uniportal, Video-assisted thoracic surgery, Aged, Equipment Design, Female, Humans, Neoplasm Staging, Operative Time, Pneumonectomy, Retrospective Studies, Thoracic Surgery, Video-Assisted, Tomography, X-Ray Computed, Stage (cooking), Non-Small-Cell Lung, Tomography, Database, Thoracic Surgery, X-Ray Computed, Cardiothoracic surgery, Cohort, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Italian VATS Group, Lobectomy, Postoperative pain, Three-portal, Uniportal, Video-assisted thoracic surgery, medicine.medical_specialty, VATS lobectomy, Video-Assisted, NO, medicine, Lung cancer, business.industry, Carcinoma, Odds ratio, medicine.disease, Confidence interval, Propensity score matching, Surgery, business, computer
Abstract

OBJECTIVES This study compares the uniportal with the 3-portal video-assisted thoracic surgery (VATS) by examining the data collected in the Italian VATS Group Database. The primary end point was early postoperative pain; secondary end points were intraoperative and postoperative complications, surgical time, number of dissected lymph nodes and length of stay. METHODS This was an observational, retrospective, cohort, multicentre study on data collected by 49 Italian thoracic units. Inclusion criteria were clinical stage I–II non-small-cell lung cancer, uniportal or 3-portal VATS lobectomy and R0 resection. Exclusion criteria were cT3 disease, previous thoracic malignancy, induction therapy, significant comorbidities and conversion to other techniques. The pain parameter was dichotomized: the numeric rating scale ≤3 described mild pain, whereas the numeric rating scale score >3 described moderate/severe pain. The propensity score-adjusted generalized estimating equation was used to compare the uniportal with 3-portal lobectomy. RESULTS Among 4338 patients enrolled from January 2014 to July 2017, 1980 met the inclusion criteria; 1808 patients underwent 3-portal lobectomy and 172 uniportal surgery. The adjusted generalized estimating equation regression model using the propensity score showed that over time pain decreased in both groups (P CONCLUSIONS Data from the Italian VATS Group Database showed that in clinical practice uniportal lobectomy seems to entail a higher risk of moderate/severe pain on second and third postoperative days.

Published
2019

13. What counts more: The patient, the surgical technique, or the hospital? A multivariable analysis of factors affecting perioperative complications of pulmonary lobectomy by video-assisted thoracoscopic surgery from a large nationwide registry

Author

Infante, Maurizio V, Benato, Cristiano, Silva, Ronaldo, Rocco, Gaetano, Bertani, Alessandro, Bertolaccini, Luca, Gonfiotti, Alessandro, Giovannetti, Riccardo, Bonadiman, Cinzia, Lonardoni, Alessandro, Canneto, Barbara, Falezza, Giovanni, Gandini, Paola, Curcio, Carlo, Crisci, Roberto, Alloisio, M, Amore, D, Ampollini, L, Andreetti, C, Argnani, D, Baietto, G, Bandiera, A, Benato, C, Benvenuti, M, Bertani, A, Bertolaccini, L, Bortolotti, L, Bottoni, E, Breda, C, Camplese, P, Carbognani, P, Cardillo, G, Casadio, C, Cavallesco, G, Cherchi, R, Crisci, R, Curcio, C, Dell'Amore, A, Beffa, V, Dolci, G, Droghetti, A, Ferrari, Pa, Fontana, D, Gargiulo, G, Gasparri, R, Gavezzoli, D, Ghisalberti, M, Giovanardi, M, Gonfiotti, A, Guerrera, F, Imperatori, A, Infante, M, Iurilli, L, Lausi, P, Logiudice, F, Londero, F, Lopez, C, Luzzi, L, Mancuso, M, Maniscalco, P, Margaritora, S, Meacci, E, Melloni, G, Morelli, A, Mucilli, F, Natali, P, Negri, G, Nicotra, S, Nosotti, M, Pariscenti, G, Perkmann, R, Pernazza, F, Pirondini, E, Poggi, C, Puma, F, Refai, M, Rinaldo, A, Rizzardi, G, Rosso, L, Rotolo, N, Russo, E, Sabbatini, A, Scarci, M, Spaggiari, L, Stefani, A, Solli, P, Surrente, C, Terzi, A, Torre, M, Vinci, D, Viti, A, Voltolini, L, Zaccagna, G, Zaraca, F., Infante M.V., Benato C., Silva R., Rocco G., Bertani A., Bertolaccini L., Gonfiotti A., Giovannetti R., Bonadiman C., Lonardoni A., Canneto B., Falezza G., Gandini P., Curcio C., Crisci R., Zaraca F., Alloisio M., Amore D., Ampollini L., Andreetti C., Argnani D., Baietto G., Bandiera A., Benvenuti M., Bortolotti L., Bottoni E., Breda C., Camplese P., Carbognani P., Cardillo G., Casadio C., Cavallesco G., Cherchi R., Dell'Amore A., Beffa V., Dolci G., Droghetti A., Ferrari P.A., Fontana D., Gargiulo G., Gasparri R., Gavezzoli D., Ghisalberti M., Giovanardi M., Guerrera F., Imperatori A., Iurilli L., Lausi P., Lo Giudice F., Londero F., Lopez C., Luzzi L., Mancuso M., Maniscalco P., Margaritora S., Meacci E., Melloni G., Morelli A., Mucilli F., Natali P., Negri G., Nicotra S., Nosotti M., Pariscenti G., Perkmann R., Pernazza F., Pirondini E., Poggi C., Puma F., Refai M., Rinaldo A., Rizzardi G., Rosso L., Rotolo N., Russo E., Sabbatini A., Scarci M., Spaggiari L., Stefani A., Solli P., Surrente C., Terzi A., Torre M., Vinci D., Viti A., Voltolini L., Zaccagna G., Infante, M. V., Benato, C., Silva, R., Rocco, G., Bertani, A., Bertolaccini, L., Gonfiotti, A., Giovannetti, R., Bonadiman, C., Lonardoni, A., Canneto, B., Falezza, G., Gandini, P., Curcio, C., Crisci, R., the Italian VATS group, Member, and Negri, G.

Subjects
Male, Registrie, Conversion, Morbidity, Postoperative complications, Video-assisted thoracoscopic surgery lobectomy, Lung Neoplasms, Intraoperative Complication, Aged, Female, Hospitals, Humans, Intraoperative Complications, Lung, Middle Aged, Pneumonectomy, Postoperative Complications, Registries, Retrospective Studies, Risk Factors, Thoracic Surgery, Video-Assisted, medicine.medical_treatment, Interquartile range, Retrospective Studie, Settore MED/21 - CHIRURGIA TORACICA, Conversion, Morbidity, Postoperative complications, Video-assisted thoracoscopic surgery lobectomy, Thoracic Surgery, General Medicine, Video-assisted thoracoscopic surgery, Cardiology and Cardiovascular Medicine, Human, Pulmonary and Respiratory Medicine, medicine.medical_specialty, VATS lobectomy, Video-Assisted, NO, Hospital, medicine, business.industry, Risk Factor, Retrospective cohort study, Perioperative, medicine.disease, Comorbidity, Surgery, Postoperative complication, Lung Neoplasm, Complication, business
Abstract

OBJECTIVESInherent technical aspects of pulmonary lobectomy by video-assisted thoracoscopic surgery (VATS) may limit surgeons’ ability to deal with factors predisposing to complications. We analysed complication rates after VATS lobectomy in a prospectively maintained nationwide registry.METHODSThe registry was queried for all consecutive VATS lobectomy procedures from 49 Italian Thoracic Units. Baseline condition, tumour features, surgical techniques, devices, postoperative care, complications, conversions and the reasons thereof were detailed. Univariable and multivariable regressions were used to assess factors potentially linked to complications.RESULTSFour thousand one hundred and ninety-one VATS lobectomies in 4156 patients (2480 men, 1676 women) were analysed. The median age-adjusted Charlson index of the patients was 4 (interquartile range 3–6). Grade 1 and 2 and Grade 3–5 complications were observed in 20.1% and in 5.8%, respectively. Ninety-day mortality was 0.55%. The overall conversion rate was 9.2% and significantly higher in low-volume centres (CONCLUSIONSVATS lobectomy is a safe procedure even in medically compromised patients. An improved classification system for conversions is proposed and prevention strategies are suggested to reduce conversion rates and possibly complications in less-experienced centres.

Published
2019

14. Dynamic Traffic Light System to Reduce The Waiting Time of Emergency Vehicles at Intersections within IoT Environment.

Author

Tashtoush, Y., Al-refai, M., Al-refai, G., Zaghal, N., Darweesh, D., and Darwish, O.

Subjects
EMERGENCY vehicles, INFRASTRUCTURE (Economics), TRAFFIC congestion, ROAD users, TRAFFIC signs & signals, ROAD interchanges & intersections
Abstract

Traditional traffic light system, which works based on fixed cycle can be a main reason for traffic jam, due to lack of adaptation to road conditions. Traffic jam has a bad impact on drivers and road users due to the time delay it causes for road users to reach their destinations. This delay can cause a life threat in case of emergency vehicles, such as ambulance vehicles and police cars. One key solution to solve traffic jam on intersections is the dynamic traffic lights, where traffic light operation adapts based on the intersection traffic conditions. Since few of researches projects in the literature interested in solving traffic jam problem for emergency vehicles, the contribution of this paper is to introduces a novel approach to operate traffic light system. The new approach consists of two algorithms which are pure operation mode and hybrid operation mode. These operation modes aim to reduce the waiting time of emergency vehicles on traffic intersections. They assume that there is a smart infrastructure system uses Internet of Things (IoT) that can detect emergency vehicles arrival to an intersection. The smart infrastructure system switches traffic light operation from fixed cycle mode to dynamic mode. The dynamic mode manages traffic lights at intersections to reduce the waiting time of emergency vehicles. The paper presents a simulation of the proposed algorithms, highlights their advantages. In order to evaluate the efficiency of the new technique, we compared our approach with Wen algorithm in the literature and the Traditional traffic light system. Our evaluation study indicated that the proposed algorithms outperformed Wen technique and the Traditional system under different traffic scenarios. [ABSTRACT FROM AUTHOR]

Published
2022
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16. Predictors of nodal upstaging in patients with cT1-3N0 non-small cell lung cancer (NSCLC): results from the Italian VATS Group Registry

Author

Marulli, G., Faccioli, E., Mammana, M., Nicotra, S., Comacchio, G., Verderi, E., De Palma, A., Curcio, C., Rea, F., Bertani, A., Russo, E., Voltolini, L., Gonfiotti, A., Nosotti, M., Rosso, L., Muriana, G., Droghetti, A., Crisci, R., Zaccagna, G., Amore, D., di Rienzo, G., Lopez, C., Morelli, A., Londero, F., Spaggiari, L., Gasparri, R., Baietto, G., Casadio, C., Infante, M., Benato, C, Alloisio, M., Bottoni, E, Cardillo, G., Carleo, F., Stella, F., Dolci, G., Puma, F., Vinci, D., Cavallesco, G., Maniscalco, P., Ampollini, L., Carbognani, P., Terzi, A., Viti, A, Negri, G., Bandiera, A., Perkmann, R., Zaraca, F., Andreetti, C., Poggi, C., Mucilli, F., Camplese, P., Luzzi, L., Ghisalberti, M., Imperatori, A., Rotolo, N., Bortolotti, L., Rizzardi, G., Torre, M., Rinaldo, A., Sabbatini, A., Refai, M., Benvenuti, M. R., Benetti, D., Stefani, A., Natali, P., Lausi, P., Guerrera, F., Melloni, G., Mazza, F., Argnani, D., Sanna, S., Fontana, D., Beffa, V. D., Meda, S., Pernazza, F. a, and Italian VATS Group

Subjects
Oncology, Male, Lung Neoplasms, medicine.medical_treatment, non-small cell lung cancer (NSCLC), Nodal upstaging, VATS lobectomy, 0302 clinical medicine, Risk Factors, Carcinoma, Non-Small-Cell Lung, 80 and over, Registries, Non-Small-Cell Lung, Child, Pneumonectomy, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Aged, 80 and over, Thoracic Surgery, Video-Assisted, Thoracic Surgery, General Medicine, Middle Aged, Lymph node dissection, Mediastinal staging, Predictive risk factors, Adolescent, Adult, Aged, Disease Progression, Female, Humans, Italy, Lymph Node Excision, Neoplasm Staging, Predictive Value of Tests, Young Adult, 030220 oncology & carcinogenesis, Predictive value of tests, 030211 gastroenterology & hepatology, Lymph node dissection, Mediastinal staging, Nodal upstaging, Predictive risk factors, VATS lobectomy, medicine.medical_specialty, Video-Assisted, NO, 03 medical and health sciences, Internal medicine, medicine, In patient, business.industry, Disease progression, Carcinoma, medicine.disease, Surgery, Neoplasm staging, business
Abstract

Accurate staging of early non-small cell lung cancer is fundamental for selecting the best treatment. The aim of this study was to identify risk factors for nodal upstaging after video-assisted thoracoscopic lobectomy for clinical T1-3N0 tumors.From 2014 to 2017, 3276 thoracoscopic lobectomies were recorded in the prospective database "Italian VATS Group". Linear and multiple logistic regression models were adapted to identify independent predictors of nodal upstaging and factors associated with progression in postoperative N status.Nodal upstaging was found in 417 cases (12.7%), including 206 cases (6.2%) of N1-positive nodes, 81 cases of N2 nodes (2.4%), and 130 cases (4%) of involvement of both N1 + N2 nodes. A total of 241 (7.3%) patients had single-station nodal involvement, whereas 176 (5.3%) had multiple-station involvement. In the final regression model, the tumor grade, histology, pathologic T status, and 12 resected nodes were independent predictors of nodal upstaging.The number of resected lymph nodes seems to predict nodal upstaging better than the type of intraoperative lymph node management. Other preoperative risk factors correspond to those for which the current guidelines of the European Society of Thoracic Surgery recommend more extensive preoperative mediastinal staging.

Published
2020

17. Correction to: Predictors of nodal upstaging in patients with cT1-3N0 non-small cell lung cancer (NSCLC): results from the Italian VATS Group Registry (Surgery Today, (2020), 50, 7, (711-718), 10.1007/s00595-019-01939-x)

Author

Marulli, G., Faccioli, E., Mammana, M., Nicotra, S., Comacchio, G., Verderi, E., De Palma, A., Curcio, C., Rea, F., Bertani, A., Russo, E., Voltolini, L., Gonfiotti, A., Nosotti, M., Rosso, L., Muriana, G., Droghetti, A., Crisci, R., Zaccagna, G., Amore, D., di Rienzo, G., Lopez, C., Morelli, A., Londero, F., Spaggiari, L., Gasparri, R., Baietto, G., Casadio, C., Infante, M., Benato, C., Alloisio, M., Bottoni, E., Cardillo, G., Carleo, F., Stella, F., Dolci, G., Puma, F., Vinci, D., Cavallesco, G., Maniscalco, P., Ampollini, L., Carbognani, P., Terzi, A., Viti, A., Negri, G., Bandiera, A., Perkmann, R., Zaraca, F., Andreetti, C., Poggi, C., Mucilli, F., Camplese, P., Luzzi, L., Ghisalberti, M., Imperatori, A., Rotolo, N., Bortolotti, L., Rizzardi, G., Torre, M., Rinaldo, A., Sabbatini, A., Refai, M., Benvenuti, M. R., Benetti, D., Stefani, A., Natali, P., Lausi, P., Guerrera, F., Melloni, G., Mazza, F., Argnani, D., Sanna, S., Fontana, D., Beffa, V. D., Meda, S., and Pernazza, F.

Subjects
NO
Published
2020

18. Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?

Author

Zaraca, Francesco, primary, Pipitone, Marco, additional, Feil, Birgit, additional, Perkmann, Reinhold, additional, Bertolaccini, Luca, additional, Curcio, Carlo, additional, Crisci, Roberto, additional, Mancuso, M., additional, Pernazza, F., additional, Refai, M., additional, Srella, F., additional, Argnani, D., additional, Marulli, G., additional, De Palma, A., additional, Bortolotti, L., additional, Rizzardi, G., additional, Solli, P.G., additional, Dolci, G.P., additional, Perkmann, R., additional, Zaraca, F., additional, Benvenuti, M., additional, Gavezzoli, D., additional, Cherchi, R., additional, Ferrari, P., additional, Mucilli, F., additional, Camplese, P., additional, Melloni, G., additional, Mazza, F., additional, Cavallesco, G., additional, Maniscalco, P., additional, Voltolini, L., additional, Gonfiotti, A., additional, Sollitto, F., additional, Ardò, N., additional, Pariscenti, G.L., additional, Risso, C., additional, Surrente, C., additional, Lopez, C., additional, Droghetti, A., additional, Giovanardi, M., additional, Breda, C., additional, Giudice, Lo F., additional, Alloisio, M., additional, Bottoni, E., additional, Spaggiari, L., additional, Gasparri, R., additional, Torre, M., additional, Rinaldo, A., additional, Nosotti, M., additional, Tosi, D., additional, Negri, G.P., additional, Bandiera, A., additional, Baisi, A., additional, Raveglia, F., additional, Stefani, A., additional, Natali, P., additional, Scarci, M., additional, Pirondini, E., additional, Curcio, C., additional, Amore, D., additional, Rena, O., additional, Nicotra, S., additional, Dell’ Amore, A., additional, Bertani, A., additional, Tancredi, G., additional, Ampollini, L., additional, Carbognani, P., additional, Puma, F., additional, Vinci, D., additional, Cardillo, G., additional, Carleo, F., additional, Margaritora, S., additional, Meacci, E., additional, Luzzi, L., additional, Ghisalberti, M., additional, Crisci, R., additional, Divisi, D., additional, Lausi, P., additional, Guerrera, F., additional, Fontana, D., additional, Beffa, V. Della, additional, Morelli, A., additional, Londero, F., additional, Imperatori, A., additional, Rotolo, N., additional, Terzi, A., additional, Viti, A., additional, Infante, M., additional, and Benato, C., additional

Published
2021
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23. National adoption of video-assisted thoracoscopic surgery (VATS) lobectomy: The Italian VATS register evaluation

Author

Divisi D., Bertolaccini L., Barone M., Amore D., Argnani D., Zaccagna G., Solli P., Di Rienzo G., Curcio C., Crisci R., Ampollini L., Alloisio M., Andreetti C., Baietto G., Bandiera A., Benato C., Benetti D., Benvenuti M., Bertani A., Bortolotti L., Bottoni E., Camplese P., Carbognani P., Cardillo G., Carleo F., Casadio C., Cavallesco G., Negri A. D., Dolci G., Droghetti A., Gasparri R., Ghisalberti M., Gonfiotti A., Guerrera F., Imperatori A., Infante M., Lausi P., Londero F., Lopez C., Luzzi L., Maineri P., Maniscalco P., Marulli G., Monteverde M., Morelli A., Mucilli F., Natali P., Negri G., Nicotra S., Nosotti M., Perkmann R., Poggi C., Puma F., Refai M., Rinaldo A., Rizzardi G., Rosso L., Rotolo N., Russo E., Sabatini A., Spaggiari L., Stefani A., Stella F., Terzi A., Torre M., Vinci D., Viti A., Voltolini L., Zaraca F., Divisi D., Bertolaccini L., Barone M., Amore D., Argnani D., Zaccagna G., Solli P., Di Rienzo G., Curcio C., Crisci R., Ampollini L., Alloisio M., Andreetti C., Baietto G., Bandiera A., Benato C., Benetti D., Benvenuti M., Bertani A., Bortolotti L., Bottoni E., Camplese P., Carbognani P., Cardillo G., Carleo F., Casadio C., Cavallesco G., Negri A.D., Dolci G., Droghetti A., Gasparri R., Ghisalberti M., Gonfiotti A., Guerrera F., Imperatori A., Infante M., Lausi P., Londero F., Lopez C., Luzzi L., Maineri P., Maniscalco P., Marulli G., Monteverde M., Morelli A., Mucilli F., Natali P., Negri G., Nicotra S., Nosotti M., Perkmann R., Poggi C., Puma F., Refai M., Rinaldo A., Rizzardi G., Rosso L., Rotolo N., Russo E., Sabatini A., Spaggiari L., Stefani A., Stella F., Terzi A., Torre M., Vinci D., Viti A., Voltolini L., Zaraca F., Divisi, Duilio, Bertolaccini, Luca, Barone, Mirko, Amore, Dario, Argnani, Desideria, Zaccagna, Gino, Solli, Piergiorgio, Di Rienzo, Gaetano, Curcio, Carlo, Crisci, Roberto, Italian VATS, Group, and Negri, G

Subjects
Database, Learning curve, Learning tools, Non-small cell lung cancer, Training, Video-assisted thoracoscopic surgery lobectomy (VATS lobectomy), Pulmonary and Respiratory Medicine, medicine.medical_specialty, medicine.medical_treatment, VATS lobectomy, Air leak, NO, 03 medical and health sciences, 0302 clinical medicine, Learning tool, database, learning curve, learning tools, non-small cell lung cancer, training, medicine, Thoracotomy, business.industry, General surgery, Database, Learning curve, Learning tools, Non-small cell lung cancer, Training, Video-assisted thoracoscopic surgery lobectomy (VATS lobectomy), 030228 respiratory system, Cardiothoracic surgery, 030220 oncology & carcinogenesis, Video-assisted thoracoscopic surgery, Operative time, Original Article, business
Abstract

Background: The expertise curve of video-assisted thoracoscopic surgery (VATS) lobectomies still stirs debate and controversy both because of the number of procedures to carry out and of the evaluation of the learning threshold. The purpose of our study was the examination of the variables related to the learning curve of the video-assisted approach, to establish what may be an expression of the technical maturity of the surgeon. Methods: The National Register for VATS lobectomy built in 2013 was used to collect data from 65 Thoracic Surgery Units. Out of more than 3,700 patients enrolled, only information from Units with ≥100 VATS lobectomies were retrospectively analysed. Unpaired Student’s t-tests, Fisher’s exact tests, Pearson’s χ 2 were applied as needed. Cumulative summative analysis and one-way ANOVA were used to identify the expertise curve of VATS lobectomy. Results: Ten institutions contributed a total of 1,679 patients, who were divided into three uniform groups according to the chronological sequence of surgery. The length of utility incision, the number of dissected lymph nodes and the operative time were not statistically significant (P=0.999, P=0.972 and P=0.307, respectively) among groups. Conversion to thoracotomy and postoperative air leaks occurred in 125 (7.44%) and 109 (6.49%) patients, gradually declined in Group 3 with statistical signi cance (P=0.048 and P=0.00086). Conclusions: The conversion rate and the percentage of air leaks seem to de ne the expertise of VATS lobectomy, being linked to the ability to manage more complicated surgical cases or intraoperative adverse events.

Published
2018

25. Corrigendum to: What counts more: The patient, the surgical technique, or the hospital? A multivariable analysis of factors affecting perioperative complications of pulmonary lobectomy by video-assisted thoracoscopic surgery from a large nationwide registry (European Journal of Cardio-thoracic Surgery (2019) DOI: 10.1093/ejcts/ezz187)

Author

Infante, M. V., Benato, C., Silva, R., Rocco, G., Bertani, A., Bertolaccini, L., Gonfiotti, A., Giovannetti, R., Bonadiman, C., Lonardoni, A., Canneto, B., Falezza, G., Gandini, P., Curcio, C., Crisci, R., Zaraca, F., Alloisio, M., Amore, D., Ampollini, L., Andreetti, C., Argnani, D., Baietto, G., Bandiera, A., Benvenuti, M., Bortolotti, L., Bottoni, E., Breda, C., Camplese, P., Carbognani, P., Cardillo, G., Casadio, C., Cavallesco, G., Cherchi, R., Dell'Amore, A., Beffa, V., Dolci, G, Droghetti, A, Ferrari, P. A., Fontana, D., Gargiulo, G., Gasparri, R., Gavezzoli, D., Ghisalberti, M., Giovanardi, M., Guerrera, F., Imperatori, A., Iurilli, L., Lausi, P., Lo Giudice, F., Londero, F., Lopez, C., Luzzi, L., Mancuso, M., Maniscalco, P., Margaritora, S., Meacci, E., Melloni, G., Morelli, A., Mucilli, F., Natali, P., Negri, G., Nicotra, S., Nosotti, M., Pariscenti, G., Perkmann, R., Pernazza, F., Pirondini, E., Poggi, C., Puma, F., Refai, M., Rinaldo, A., Rizzardi, G, Rosso, L., Rotolo, N., Russo, E., Sabbatini, A., Scarci, M., Spaggiari, L., Stefani, A., Solli, P., Surrente, C., Terzi, A., Torre, M., Vinci, D., Viti, A., Voltolini, L., Zaccagna, G., and the Italian VATS group members

Subjects
Male, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Lung Neoplasms, Thoracic, medicine.medical_treatment, MEDLINE, NO, Postoperative Complications, Risk Factors, Pulmonary lobectomy, Humans, Medicine, Registries, Intraoperative Complications, Pneumonectomy, Lung, Aged, Retrospective Studies, Thoracic Surgery, Video-Assisted, business.industry, General surgery, General Medicine, Perioperative, Middle Aged, Corrigenda, Hospitals, Video-assisted thoracoscopic surgery, Female, Surgery, Cardiology and Cardiovascular Medicine, business
Abstract

OBJECTIVES: Inherent technical aspects of pulmonary lobectomy by video-assisted thoracoscopic surgery (VATS) may limit surgeons’ ability to deal with factors predisposing to complications. We analysed complication rates after VATS lobectomy in a prospectively maintained nationwide registry. METHODS: The registry was queried for all consecutive VATS lobectomy procedures from 49 Italian Thoracic Units. Baseline condition, tumour features, surgical techniques, devices, postoperative care, complications, conversions and the reasons thereof were detailed. Univariable and multivariable regressions were used to assess factors potentially linked to complications. RESULTS: Four thousand one hundred and ninety-one VATS lobectomies in 4156 patients (2480 men, 1676 women) were analysed. The median age-adjusted Charlson index of the patients was 4 (interquartile range 3–6). Grade 1 and 2 and Grade 3–5 complications were observed in 20.1% and in 5.8%, respectively. Ninety-day mortality was 0.55%. The overall conversion rate was 9.2% and significantly higher in low-volume centres (

Published
2019

28. What counts more: the patient, the surgical technique, or the hospital? A multivariable analysis of factors affecting perioperative complications of pulmonary lobectomy by video-assisted thoracoscopic surgery from a large nationwide registry

Author

Infante, Mv, Benato, C, Silva, R, Rocco, G, Bertani, A, Bertolaccini, L, Gonfiotti, A, Giovannetti, R, Bonadiman, C, Lonardoni, A, Canneto, B, Falezza, G, Gandini, P, Curcio, C, Crisci, R, Alloisio, M, Amore, D, Ampollini, L, Andreetti, C, Argnani, D, Baietto, G, Bandiera, A, Benvenuti, Mr, Bortolotti, L, Bottoni, E, Breda, C, Camplese, P, Carbognani, P, Cardillo, G, Casadio, C, Cavallesco, G, Cherchi, R, Dell'Amore, A, Della Beffa, V, Dolci, G, Droghetti, A, Ferrari, Pa, Fontana, D, Gargiulo, G, Gasparri, R, Gavezzoli, D, Ghisalberti, M, Giovanardi, M, Guerrera, F, Imperatori, A, Infante, M, Iurilli, L, Lausi, P, Lo Giudice, F, Londero, F, Lopez, C, Luzzi, L, Mancuso, M, Maniscalco, P, Margaritora, Stefano, Meacci, Elisa, Melloni, G, Morelli, A, Mucilli, F, Natali, P, Negri, G, Nicotra, S, Nosotti, M, Pariscenti, G, Perkmann, R, Pernazza, F, Pirondini, E, Poggi, C, Puma, F, Refai, M, Rinaldo, A, Rizzardi, G, Rosso, L, Rotolo, N, Russo, E, Sabbatini, A, Scarci, M, Spaggiari, L, Stefani, A, Solli, P, Surrente, C, Terzi, A, Torre, M, Vinci, D, Viti, A, Voltolini, L, Zaccagna, G, Zaraca, F, Margaritora, S (ORCID:0000-0002-9796-760X), Meacci, E (ORCID:0000-0001-8424-3816), Infante, Mv, Benato, C, Silva, R, Rocco, G, Bertani, A, Bertolaccini, L, Gonfiotti, A, Giovannetti, R, Bonadiman, C, Lonardoni, A, Canneto, B, Falezza, G, Gandini, P, Curcio, C, Crisci, R, Alloisio, M, Amore, D, Ampollini, L, Andreetti, C, Argnani, D, Baietto, G, Bandiera, A, Benvenuti, Mr, Bortolotti, L, Bottoni, E, Breda, C, Camplese, P, Carbognani, P, Cardillo, G, Casadio, C, Cavallesco, G, Cherchi, R, Dell'Amore, A, Della Beffa, V, Dolci, G, Droghetti, A, Ferrari, Pa, Fontana, D, Gargiulo, G, Gasparri, R, Gavezzoli, D, Ghisalberti, M, Giovanardi, M, Guerrera, F, Imperatori, A, Infante, M, Iurilli, L, Lausi, P, Lo Giudice, F, Londero, F, Lopez, C, Luzzi, L, Mancuso, M, Maniscalco, P, Margaritora, Stefano, Meacci, Elisa, Melloni, G, Morelli, A, Mucilli, F, Natali, P, Negri, G, Nicotra, S, Nosotti, M, Pariscenti, G, Perkmann, R, Pernazza, F, Pirondini, E, Poggi, C, Puma, F, Refai, M, Rinaldo, A, Rizzardi, G, Rosso, L, Rotolo, N, Russo, E, Sabbatini, A, Scarci, M, Spaggiari, L, Stefani, A, Solli, P, Surrente, C, Terzi, A, Torre, M, Vinci, D, Viti, A, Voltolini, L, Zaccagna, G, Zaraca, F, Margaritora, S (ORCID:0000-0002-9796-760X), and Meacci, E (ORCID:0000-0001-8424-3816)

Abstract

OBJECTIVES: Inherent technical aspects of pulmonary lobectomy by video-assisted thoracoscopic surgery (VATS) may limit surgeons' ability to deal with factors predisposing to complications. We analysed complication rates after VATS lobectomy in a prospectively maintained nationwide registry.METHODS: The registry was queried for all consecutive VATS lobectomy procedures from 49 Italian Thoracic Units. Baseline condition, tumour features, surgical techniques, devices, postoperative care, complications, conversions and the reasons thereof were detailed. Univariable and multivariable regressions were used to assess factors potentially linked to complications.RESULTS: Four thousand one hundred and ninety-one VATS lobectomies in 4156 patients (2480 men, 1676 women) were analysed. The median age-adjusted Charlson index of the patients was 4 (interquartile range 3-6). Grade 1 and 2 and Grade 3-5 complications were observed in 20.1% and in 5.8%, respectively. Ninety-day mortality was 0.55%. The overall conversion rate was 9.2% and significantly higher in low-volume centres (<100 cases, P < 0.001), but there was no significant difference between intermediate- and high-volume centres under this aspect. Low-volume centres were significantly more likely to convert due to issues with difficult local anatomy, but not significantly so for bleeding. Conversion, lower case-volume, comorbidity burden, male gender, adhesions, blood loss, operative time, sealants and epidural analgesia were significantly associated with increased postoperative morbidity.CONCLUSIONS: VATS lobectomy is a safe procedure even in medically compromised patients. An improved classification system for conversions is proposed and prevention strategies are suggested to reduce conversion rates and possibly complications in less-experienced centres.

Published
2019

29. Clinical guidelines on perioperative management strategies for enhanced recovery after lung surgery

Author

Gao, S., Barello, Serena, Chen, L., Chen, C., Che, G., Cai, K., Crisci, R., D'Andrilli, A., Droghetti, A., Fu, X., Ferrari, P. A., Fernando, H. C., Ge, D., Graffigna, Guendalina, Huang, Y., Hu, J., Jiao, W., Jiang, G., Li, X., Li, H., Li, S., Liu, L., Ma, H., Ma, D., Martinez, G., Maurizi, G., Phan, K., Qiao, K., Refai, M., Rendina, E. A., Shao, G., Shen, J., Tian, H., Voltolini, L., Vannucci, J., Vanni, C., Wu, Q., Xu, S., Yu, F., Zhao, S., Zhang, P., Zhang, L., Zhi, X., Zhu, C., Ng, C., Sihoe, A. D. L., Ho, A. M. H., Barello S. (ORCID:0000-0002-8514-2563), Graffigna G. (ORCID:0000-0003-4378-7467), Gao, S., Barello, Serena, Chen, L., Chen, C., Che, G., Cai, K., Crisci, R., D'Andrilli, A., Droghetti, A., Fu, X., Ferrari, P. A., Fernando, H. C., Ge, D., Graffigna, Guendalina, Huang, Y., Hu, J., Jiao, W., Jiang, G., Li, X., Li, H., Li, S., Liu, L., Ma, H., Ma, D., Martinez, G., Maurizi, G., Phan, K., Qiao, K., Refai, M., Rendina, E. A., Shao, G., Shen, J., Tian, H., Voltolini, L., Vannucci, J., Vanni, C., Wu, Q., Xu, S., Yu, F., Zhao, S., Zhang, P., Zhang, L., Zhi, X., Zhu, C., Ng, C., Sihoe, A. D. L., Ho, A. M. H., Barello S. (ORCID:0000-0002-8514-2563), and Graffigna G. (ORCID:0000-0003-4378-7467)

Abstract

not available

Published
2019

30. A nationwide survey of hospital-based thalassemia patients and standards of care and a preliminary assessment of the national prevention program in Sri Lanka

Author

Premawardhana, Anuja P., primary, Mudiyanse, Rasnayaka, additional, De Silva, Shamila T., additional, Jiffry, Nilam, additional, Nelumdeniya, Udaya, additional, de Silva, Udaya, additional, Lamabadusuriya, Sanath P., additional, Pushpakumara, K., additional, Dissanayaka, Randima, additional, Jansz, M., additional, Rifaya, I., additional, Navarathne, Upul, additional, Thirukumaran, V., additional, Arambepola, Mahinda, additional, Dayanada Bandara, Wijesundara, additional, Vaidyanatha, U., additional, Mendis, Devan, additional, Weerasekara, K., additional, De Silva, Nalika, additional, Shantha Kumara, D. K., additional, Amarasena, Sujeewa D., additional, Hemantha, K. K., additional, Refai, M. A. C. M., additional, Silva, Ishari, additional, Hameed, Nizri, additional, Rajiyah, F., additional, Mettananda, Sachith, additional, Allen, Angela, additional, Weatherall, David J., additional, and Oliveri, Nancy F., additional

Published
2019
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31. Comparison of incidence of three major pathogens causing bovine subclinical mastitis in relation to SCC and enzymatic activities in large and small dairy herds in Egypt.

Author

Elsyed, Akram M. Nabih, Refai, M. K., Hatem, M. E., Hamouda, R. H., and Samir, A.

Subjects
*BOVINE mastitis, *DAIRY cattle, *ESCHERICHIA coli, *ASPARTATE aminotransferase, *BOVINE viral diarrhea, *STREPTOCOCCUS agalactiae, *MANNHEIMIA haemolytica, *CATTLE, *BLOOD lactate
Abstract

The study was designed to investigate the current incidence of Staphylococcus aureus, Streptococcus agalactiae and Escherichia coli in bovine subclinical mastitis (SCM) in two groups of herds, large dairy herd: group 1 (≥100 head/farm) and small and medium dairy herds: group 2 (≤50 head / farm + small owner's herds) in Egypt. S. aureus and S. agalactiae are contagious major pathogens of mastitis, while E. coli is an environmental major pathogen. PCR amplification and gene detection were carried out on the extracted DNA of the pathogens' isolates which were identified by conventional methods. Three pairs of specific primers, one for each of the pathogens were used in PCR amplification. Detection of the amplified three products of sizes 231 bp, 280 bp and 108 bp resulted in confirmation of 100%, 72% and 40% of isolates of the E. coli, S. agalactiae and S. aureus respectively. Additionally, the study referred to the associated variable values of somatic cell count, enzymatic activities of lactate hydrogenase (LDH), glutamic oxaloacetic transaminase (GOT) and alkaline phosphatase (ALP). The study included examination of randomly selected 476 of apparently normal milk samples belonged to 137 apparently healthy Holstein Friesian cows. Incidence of SCM was 42.6% of the examined quarters and 62% of cows represented by 203 samples and 85 cows with the result of recovered 242 isolates. In relative to total number of examined quarters, SCM quarters and total number of isolates, S. agalactiae constituted 2.31 %, 5.41% and 4.54 % while S. aureus was 3.6%, 8.37% and 7.2% whereas E. coli represented 7.4%, 17.2% and 14.5% respectively. SCC Geometric mean of SCM samples in the overall study was 483000 cell/mL. In the present study, the higher SCC mean was in SCM samples with S. aureus (611000) followed by E. coli (545000) then S. agalactiae (394000). Geometric mean of LDH, GOT and ALP were 378, 147 and 469 IU/L in the overall study SCM samples. The higher mean of LDH was recorded in case of S. aureus (402) followed by S. agalactiae (398) then E. coli (369). The higher GOT value was in case of S. agalactiae (150) followed by E. coli (149) then S. aureus (147). The higher ALP value was in E. coli (614) followed by S. aureus (560) then S. agalactiae (553). [ABSTRACT FROM AUTHOR]

Published
2020

35. The IASLC/ITMIG Thymic Epithelial Tumors Staging Project: proposal for an evidence-based stage classification system for the forthcoming (8th) edition of the TNM classification of malignant tumors

Author

Rosenberg, M, Tomulescu, V, Huang, J, Foroulis, C, Lang Lazdunski, L, Billè, A, Maessen, Jg, Keijzers, M, van Veer, H, Wright, C, Marino, M, Facciolo, F, Palmieri, G, Buonerba, C, Ferguson, M, Marulli, G, Lucchi, M, Loehrer, P, Kalkat, M, Rohrberg, K, Daugaard, G, Toker, A, Erus, S, Kimmich, M, Brunelli, A, Refai, M, Nicholson, A, Lim, E, Park, Ik, Wagner, J, Tieu, B, Fang, W, Zhang, J, Yu, Z, Han, Y, Li, Y, Chen, K, Chen, G, Okumura, M, Fujii, Y, Asamura, H, Nagai, K, Nakajima, J, Ikeda, N, Haraguchi, S, Onuki, T, Suzuki, K, Yoshino, I, Tsuchida, M, Takahashi, S, Yokoi, K, Hanyuda, M, Niwa, H, Date, H, Maniwa, Y, Miyoshi, S, Kondo, K, Iwasaki, A, Okamoto, T, Nagayasu, T, Tanaka, F, Suzuki, M, Yoshida, K, Okuma, Y, Horio, H, Matsumura, A, Higashiyama, M, Suehisa, H, Sano, Y, Al Kattan, K, Cerfolio, R, Gebitekin, C, de Antonio, D, Kernstine, Kh, Altorki, N, Novoa, N, Ruffini, E, Filosso, Pl, Saita, S, Scarci, M, Voltolini, L, Weder, W, Zurek, W, Arame, A, Casadio, C, Carbognani, P, Donati, G, Keshavjee, S, Klepetko, W, Moser, B, Lequaglie, C, Liberman, M, Mancuso, M, Nosotti, M, Spaggiari, L, Thomas, Pa, Rendina, Erino Angelo, Venuta, Federico, Anile, Marco, Schützner, J, Rocco, G, Crowley, J, Detterbeck, F, Falkson, C, Filosso, L, Giaccone, G, Giroux, D, Kim, J, Marom, Em, Nicholson, Ag, Brompton, R, Van Schil, P, Stratton, K., University of Zurich, Detterbeck, Frank C, Eberhardt, Wilfried (Beitragende*r), Prognostic Factors Comm, Advisory Boards, and Participating Inst Thymic Domain

Subjects
Pulmonary and Respiratory Medicine, Stage classification, Oncology, medicine.medical_specialty, Pathology, Staging, Thymoma, Evidence-based practice, 10255 Clinic for Thoracic Surgery, Medizin, 610 Medicine & health, Metastasis, Thymic carcinoma, Cohort Studies, Neoplasms, Internal medicine, medicine, Humans, Neoplasms, Glandular and Epithelial, Stage (cooking), Lung cancer, Neoplasm Staging, Retrospective Studies, Evidence-Based Medicine, business.industry, Glandular and Epithelial, Cancer, Thymus Neoplasms, Prognosis, medicine.disease, 2740 Pulmonary and Respiratory Medicine, 2730 Oncology, Human medicine, business
Abstract

A universal and consistent stage classification system, which describes the anatomic extent of a cancer, provides a foundation for communication and collaboration. Thymic epithelial malignancies have seen little progress, in part because of the lack of an official system. The International Association for the Study of Lung Cancer and the International Thymic Malignancies Interest Group assembled a large retrospective database, a multispecialty international committee and carried out extensive analysis to develop proposals for the 8th edition of the stage classification manuals. This tumor, node, metastasis (TNM)-based system is applicable to all types of thymic epithelial malignancies. This article summarizes the proposed definitions of the T, N, and M components and describes how these are combined into stage groups. This represents a major step forward for thymic malignancies.

Published
2014

36. The IASLC/ITMIG thymic malignancies staging project: development of a stage classification for thymic malignancies

Author

Detterbeck, Fc1, Asamura, H, Crowley, J, Falkson, C, Giaccone, G, Giroux, D, Huang, J, Kim, J, Kondo, K, Lucchi, M, Marino, M, Marom, Em, Nicholson, A, Okumura, M, Ruffini, E, van Schil, P, Stratton, K, Staging, Prognostic Factors Committee, Members of the Advisory Boards, Goldstraw P, Participating Institutions of the Thymic D. o. m. a. i. n., Rami Porta, R, Ball, D, Beer, D, Beyruti, R, Bolejack, V, Chansky, K, Detterbeck, F, Eberhardt, W, Edwards, J, Galateau Sallé, F, Gleeson, F, Groome, P, Kennedy, C, Kim, Y, Kingsbury, L, Kondo, H, Krasnik, M, Kubota, K, Lerut, A, Lyons, G, Marom, E, van Meerbeeck, J, Mitchell, A, Nakano, T, Newman, J, Nowak, A, Peake, M, Rice, T, Rosenzweig, K, Rusch, V, Sculier, Jp, Suzuki, K, Tachimori, Y, Thomas CF Jr, Travis, W, Tsao, M, Turrisi, A, Vansteenkiste, J, Watanabe, H, Wu, Yi, Zielinski, M, Filosso, L, Baas, P, Erasmus, J, Hasegawa, S, Inai, K, Kernstine, K, Kindler, H, Krug, L, Nackaerts, K, Pass, H, Rice, D, Blackstone, E, Call Caja, S, Ahmad, U, Girard, N, Haam, Sj, Bae, Mk, Gomez, Dr, Ströbel, P, Marx, A, Saita, S, Wakelee, H, Bertolaccini, L, Vallieres, E, Scott, W, Su, S, Park, B, Marks, J, Khella, S, Shen, R, Rosenberg, M, Aires, B, Tomulescu, V, Foroulis, C, Lang Lazdunski, L, Billè, A, Maessen, Jg, Keijzers, M, van Veer, H, Wright, C, Palmieri, G, Buonerba, C, Ferguson, M, Marulli, G, Loehrer, P, Kalkat, M, Rohrberg, K, Daugaard, G, Toker, A, Erus, S, Kimmich, M, Brunelli, A, Refai, M, Lim, E, Park, Ik, Wagner, J, Tieu, B, Fang, W, Zhang, J, Yu, Z, Han, Y, Li, Y, Chen, K, Chen, G, Fujii, Y, Nagai, K, Nakajima, J, Ikeda, N, Haraguchi, S, Onuki, T, Yoshino, I, Tsuchida, M, Takahashi, S, Yokoi, K, Hanyuda, M, Niwa, H, Date, H, Maniwa, Y, Miyoshi, S, Iwasaki, A, Okamoto, T, Nagayasu, T, Tanaka, F, Suzuki, M, Yoshida, K, Okuma, Y, Horio, H, Matsumura, A, Higashiyama, M, Suehisa, H, Sano, Y, Kattan, K, Cerfolio, R, Gebitekin, C, de Antonio, D, Kernstine, Kh, Altorki, N, Novoa, N, Filosso, Pl, Scarci, M, Voltolini, L, Weder, W, Zurek, W, Arame, A, Casadio, C, Toracica, C, Carbognani, P, Donati, G, Keshavjee, S, Klepetko, W, Moser, B, Lequaglie, C, Liberman, M, Mancuso, M, Nosotti, M, Spaggiari, L, Thomas, Pa, Rendina, Erino Angelo, Venuta, F, Anile, M, Schützner, J, Rocco, G., Staging Prognostic Factors Comm, University of Zurich, Detterbeck, Frank C, and Eberhardt, Wilfried (Beitragende*r)

Subjects
Pulmonary and Respiratory Medicine, Oncology, Stage classification, medicine.medical_specialty, Pathology, Lung Neoplasms, Thymoma, 10255 Clinic for Thoracic Surgery, Medizin, 610 Medicine & health, Thymic carcinoma, Internal medicine, medicine, Humans, Project management, Program Development, Lung cancer, Neoplasm Staging, business.industry, International Agencies, Thymus Neoplasms, Staging of stage classification, medicine.disease, 2740 Pulmonary and Respiratory Medicine, Interest group, 2730 Oncology, Program development, Human medicine, business
Abstract

The lack of an official-stage classification system for thymic malignancies is an issue that hampers progress in this rare disease. A collaborative effort by the International Association for the Study of Lung Cancer and the International Thymic Malignancies Interest Group is underway to develop proposals for such a system. A database of more than 10,000 cases worldwide has been assembled to provide a solid basis for analysis. This report outlines the structure of the effort and the process that has been designed.

Published
2014

42. Impact and prognostic role of single-neucleotide polymorphisms (SNPs) in thymic lesions

Author

Torniai, M., primary, Berardi, R., additional, Brunelli, A., additional, Pagliaretta, S., additional, Paolucci, V., additional, Conti, A., additional, Goteri, G., additional, Refai, M., additional, Pompili, C., additional, Marcantognini, G., additional, Morgese, F., additional, Savini, A., additional, Caramanti, M., additional, Santoni, M., additional, Zizzi, A., additional, Mazzanti, P., additional, Onofri, A., additional, Sabbatini, A., additional, Scarpelli, M., additional, and Cascinu, S., additional

Published
2015
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