Abstract
Objectives
Obesity in Europe, and worldwide, has been an increasing epidemic during the past decades. Moreover, obesity has important implications regarding technical issues and the risks associated with surgical interventions. Nevertheless, there is a lack of evidence assessing the influence of obesity on video-assisted thoracic surgery (VATS) lobectomy results. Our study aimed to assess the impact of morbid obesity on perioperative clinical and oncological outcomes after VATS lobectomy using a prospectively maintained nationwide registry.
Methods
The Italian VATS lobectomy Registry was used to collect all consecutive cases from 55 Institutions. Explored outcome parameters were conversion to thoracotomy rates, complication rates, intra-operative blood loss, surgical time, hospital postoperative length of stay, chest tube duration, number of harvested lymph-node, and surgical margin positivity.
Results
From 2016 to 2019, a total of 4412 patients were collected. 74 patients present morbid obesity (1.7%). Multivariable-adjusted analysis showed that morbid obesity was associated with a higher rate of complications (32.8% vs 20.3%), but it was not associated with a higher rate of conversion, and surgical margin positivity rates. Moreover, morbid obesity patients benefit from an equivalent surgical time, lymph-node retrieval, intraoperative blood loss, hospital postoperative length of stay, and chest tube duration than non-morbid obese patients. The most frequent postoperative complications in morbidly obese patients were pulmonary-related (35%).
Conclusion
Our results showed that VATS lobectomy could be safely and satisfactorily conducted even in morbidly obese patients, without an increase in conversion rate, blood loss, surgical time, hospital postoperative length of stay, and chest tube duration. Moreover, short-term oncological outcomes were preserved.
Keywords: Obesity, Lobectomy, Video-assisted thoracic surgery, Morbidity, Mortality, Lung Cancer
Obesity in Europe, and worldwide, has been an increasing epidemic during the past decades [1, 2]. In particular, in Italy, the obesity rate augments from 6% in 1991 to 10% in 2018 [3].
Increasing obesity incidence represents a noteworthy health problem, particularly considering that it is associated with the risk of developing chronic diseases such as cardiovascular disease, musculoskeletal disorders, type 2 diabetes, hypertension, coronary heart disease, sleep apnea, and kidney failure [2, 4, 5] in addition to a generally decreased life expectancy, principally in the young adult population [6–8]. Moreover, all these conditions could increase the risk of postoperative surgical complications, with mutual boost effects [9, 10]. Additionally, obesity itself has important implications regarding technical issues during the surgical procedure [11, 12].
In the literature, there is emerging evidence on relationship between higher BMI and lung cancer [13]. Indeed, the ratio of overweight and obese patients with lung cancer who present for major pulmonary resection for NSCLC incessantly raised during the last decades [14].
In order to increase perioperative outcomes and decrease postoperative complications, minimally invasive thoracic surgical procedures [i.e., video-assisted thoracic surgery (VATS) lobectomy] have been largely adopted worldwide, in alternative to classic open surgery via thoracotomy [14]. Recently, the results of a UK multicentric VIOLET randomized controlled trial showed a relationship between VATS lobectomy and enhanced postoperative clinical outcome [15]. However, there is a lack of evidence assessing the influence of morbid obesity on VATS lobectomy results.
The aim of our study was to assess the impact of morbid obesity (Body Mass Index ≥ 40) on perioperative clinical and oncological outcomes after VATS lobectomy using a prospectively maintained nationwide registry, the Italian VATS group registry [16].
Methods
From 2016 to 2019, out of a total of 4972 patients submitted to thoracoscopic major lung resection by 55 centers of the Italian VATS Group database, 4412 patients submitted to VATS lobectomy for lung cancer were included in the present study. Patients submitted to VATS segmentectomy, bilobectomy, or pneumonectomy were excluded. Informed consent was obtained from all individual participants included in the study.
Primary outcomes explored were conversion to thoracotomy rates and complication rates (Grade ≥ 2 according to the Clavien–Dindo classification [17]). An additional analysis on primary endpoints was performed stratifying patients according to BMI as follows: ≤ 30, 30–40, ≥ 40.
As secondary outcomes, surgical margin positivity rates, intra-operative blood loss, surgical time, hospital postoperative length of stay, chest tube duration, and the number of harvested lymph-node were assessed.
Statistical analysis
Baseline patient characteristics are summarized by number and percentages, or median and interquartile range (IQR), as appropriate. Between-group differences were evaluated by Wilcoxon–Mann–Whitney test (continuous variables) or χ2 test or Fisher’s exact test (categorical variables), as appropriate.
Univariable and multivariable-adjusted logistic regression models were used to evaluate categorical outcomes, while different continuous outcomes were compared by the Wilcoxon–Mann–Whitney test. The variables in the adjusted models were age, gender, smoking history, CCI, ECOG performance status, FEV1%, DLCO%, surgeon experience, pT stage, pN stage, preoperative diagnosis, and performed adhesiolysis.
All statistical tests were two-sided and P values of 0.05 or less were considered statistically significant. Data analysis was performed using Stata software version 15.1 (Stata-Corp, College Station, Texas).
Results
Median BMI in the present cohort was 25.8 (IQR 23.4–28.7) (Table 1). Most of the patients present a BMI < 40 (4338–98.3%), while out of 74 patients were morbidly obese (BMI ≥ 40). Most patients were male (2681–60.7%) and the mean age at the time of surgery was 69 years (IQR 62–75). 425 (9.6%) cases of conversion to thoracotomy were observed in the whole population. Median surgical time was 174 min (IQR 135–210), the median number of harvested lymph-nodes was 11 (IQR 7–16), median intraoperative blood loss 100 ml (IQR 50–200), median chest drain duration 4 days (IQR 3–5), and median postoperative length of stay 5 days (IQR 4–7). In the whole cohort, 906 (20.5%) complications and 100 (2.3%) surgical margin positivity cases were observed (Table 2).
Table 1.
Baseline characteristics in the overall population
| Factor | All |
|---|---|
| n = 4412 | |
| BMI, n (%) | |
| Median (IQRa) | 25.8 (23.4–28.7) |
| ≥ 40 | 74 (1.7) |
| < 40 | 4338 (98.3) |
| Age (years), median (IQR) | 69 (62–75) |
| Gender (male), n (%) | 2681 (60.7) |
| Smoking history (ever), n (%) | 3137 (71.1) |
| CCI, median (IQR) | 3 (3–4) |
| ECOG, median (IQR) | 0 (0–1) |
| FEV1 (%), median (IQR) | 93 (80–106) |
| DLCO (%), median (IQR) | 83 (71–95) |
| Surgeon experienceb, n (%) | 2676 (60.7) |
| cT stage, n (%) | |
| cT1a–b–c | 2939 (66.6) |
| cT2a–b | 1067 (24.2) |
| cT3 | 322 (7.3) |
| cT4 | 83 (1.8) |
| cN stage, n (%) | |
| cN0 | 3873 (87.9) |
| cN1 | 274 (6.3) |
| cN2 | 256 (5.8) |
| pT stage, n (%) | |
| pT1a–b–c | 2893 (66.1) |
| pT2a–b | 1054 (24.1) |
| pT3 | 336 (7.6) |
| pT4 | 97 (2.2) |
| pN stage, n (%) | |
| pN0 | 3873 (81.8) |
| pN1 | 418 (9.9) |
| pN2 | 351 (8.3) |
| Preoperative diagnosis (yes), n (%) | 1900 (43.1) |
| Adhesiolysis (yes), n (%) | 1218 (27.6) |
BMI Body Mass Index, CCI Charlson comorbidity index, ECOG Eastern Cooperative Oncology Group performance status
aInterquartile range
b > 50 VATS lobectomy procedures performed
Table 2.
Baseline characteristics: morbid obesity (BMI ≥ 40) vs Non-morbid obesity (BMI < 40) groups
| Factor | BMI ≥ 40 | BMI < 40 | P |
|---|---|---|---|
| n = 74 | n = 4338 | ||
| Age (years), median (IQRa) | 68 (59–63) | 69 (63–75) | 0.089 |
| Gender (male), n (%) | 40 (54.1) | 2641 (60.9) | 0.233 |
| Smoking history (ever), n (%) | 50 (67.6) | 3087 (71.2) | 0.499 |
| CCI, median (IQR) | 3 (2–4) | 3 (3–4) | 0.041 |
| ECOG, median (IQR) | 0 (0–1) | 0 (0–1) | 0.835 |
| FEV1 (%), median (IQR) | 93 (82–109) | 93 (80–106) | 0.884 |
| DLCO (%), median (IQR) | 89 (78–100) | 83 (71–95) | 0.008 |
| Surgeon experienceb, n (%) | 39 (52) | 2637 (60.8) | 0.099 |
| cT stage, n (%) | 0.103 | ||
| cT1a–b–c | 58 (78.3) | 2881 (66.4) | |
| cT2a–b | 14 (18.9) | 1053 (24.3) | |
| cT3 | 1 (1.4) | 321 (7.4) | |
| cT4 | 1 (1.4) | 82 (1.9) | |
| cN stage, n (%) | 0.683 | ||
| cN0 | 63 (85.1) | 3810 (87.9) | |
| cN1 | 7 (9.5) | 267 (6.2) | |
| cN2 | 4 (5.4) | 343 (5.9) | |
| pT stage, n (%) | 0.063 | ||
| pT1a–b–c | 57 (77.0) | 2836 (65.9) | |
| pT2a–b | 14 (18.9) | 1040 (24.1) | |
| pT3 | 1 (1.4) | 335 (7.8) | |
| pT4 | 2 (2.7) | 95 (2.2) | |
| pN stage, n (%) | 0.584 | ||
| pN0 | 55 (77.4) | 3406 (81.9) | |
| pN1 | 8 (11.3) | 410 | |
| pN2 | 8 (11.3) | 343 (8.2) | |
| Preoperative diagnosis (yes), n (%) | 2469 (56.9) | 43 (58.1) | 0.837 |
| Adhesiolysis (yes), n (%) | 3139 (72.4) | 55 (74.3) | 0.708 |
BMI Body Mass Index, CCI Charlson comorbidity index, ECOG Eastern Cooperative Oncology Group performance status
aInterquartile range
b > 50 VATS lobectomy procedures performed
At the univariable analysis, the Morbid obesity group showed a significant higher post-operative morbidity rate (26 vs 880—35.1% vs 20.3%) [Odds Ratio (OR) 2.13, 95% C.I. 1.31–3.45, P = 0.002). The most frequent postoperative complications in morbidly obese patients were pulmonary-related (9–35%): 3 persistent pleural effusion/empyema, 2 prolonged air leak (> 7 days), 2 prolonged mechanical ventilation, 1 pulmonary embolism, 1 atelectasis. Morbid obesity was not associated with a higher rate of conversion (10 vs 415—13.5% vs 9.6%) (OR 1.48, 95% C.I. 0.75–2.90, P = 0.26) and surgical margin positivity rates (1 vs 99—1.4% vs 2.4%) (OR 0.58, 95% C.I. 0.080–4.23, P = 0.59). Morbid obesity patients presented an equivalent surgical time (180 min vs 173 min, P = 0.116), lymph-node retrieval (9 vs 11, P = 0.835), intraoperative blood loss (100 ml vs 100 ml, P = 0.554), chest tube duration (4 days vs 4 days, P = 0.969), and hospital post-operative length of stay (5 days vs 5 days, P = 0.729) than non-morbid obese patients (Figs. 1 and 2).
Fig. 1.
Morbid obesity (BMI ≥ 40) Versus Non-morbid obesity (BMI < 40): Box-and-whisker plots illustrate the distribution of surgical time (A), lymph-node retrieval (B), and blood loss (C)
Fig. 2.
Morbid obesity (BMI ≥ 40) Versus Non-morbid obesity (BMI < 40): Box-and-whisker plots illustrate the distribution of chest tube duration (A), hospital postoperative length of stay (B)
At the multivariable analyses (Table 3), Morbid obesity resulted to be an independent prognostic factor for postoperative morbidity rate (OR 2.74, 95% C.I. 1.63–4.61, P < 0.001). Morbid obesity was not associated with a higher rate of conversion (OR 1.63, 95% C.I. 0.79, 3.39, P = 0.19).
Table 3.
Logistic regression models from primary endpoint: Morbid obesity (BMI ≥ 40) vs Non-morbid obesity (BMI < 40) groups
| Factor | BMI ≥ 40 | BMI < 40 | Univariable model | P | Multivariable-adjusted modela | P |
|---|---|---|---|---|---|---|
| n = 74 | n = 4338 | |||||
| Post-operative complications (yes), n (%) | 26 (35.1) | 880 (20.3) | OR 2.13, 95% C.I. 1.31–3.45 | 0.002 | OR 2.74, 95% C.I. 1.63–4.61 | < 0.001 |
| Conversion to thoracotomy (yes), n (%) | 10 (13.5) | 415 (9.6) | OR 1.48, 95% C.I. 0.75–2.90 | 0.26 | OR 1.63, 95% C.I. 0.79, 3.39 | 0.19 |
| Surgical margin positivity (yes), n (%) | 1 (1.4) | 99 (2.4) | OR 0.58, 95% C.I. 0.080–4.23 | 0.59 | OR 0.67, 95% C.I. 0.089, 5.07 | 0.70 |
BMI Body Mass Index
aAdjusted for age, gender, smoking history, CCI, ECOG performance status, FEV1%, DLCO%, surgeon experience, pT stage, pN stage, preoperative diagnosis, and performed adhesiolysis
The additional multivariable analysis showed morbid obesity as independent prognostic factor for morbidity rate (BMI ≤ 30 as reference; BMI 30–40 OR 1.34, 95% C.I. 0.87, 2.07, P = 0.16; ≥ 40 OR 2.74, 95% C.I. 1.63–4.59, P < 0.001), but not for conversion rates (BMI ≤ 30 as reference; BMI 30–40 OR 1.48, 95% C.I. 0.86, 2.56, P = 0.16; ≥ 40 OR 1.59, 95% C.I. 0.77, 3.27, P = 0.21).
Discussion
The minimally invasive surgical approaches have been established in order to increase perioperative outcomes and decrease postoperative complications, with respect to the standard open approaches.
Also, in thoracic surgery, these approaches [i.e., VATS and robotic-assisted thoracic surgery (RATS)] should be advisable especially in the high-risk surgical populations, like the elderly and obese ones [18]. Presumably, the ratio of patients with elevated BMI referred to thoracic surgical procedures will constantly increase in the next future [11, 14]. Consequently, it is mandatory to obtain a comprehensive insight into the effect of morbid obesity on perioperative outcomes in such patients [11, 14].
The results of the present study suggest that, in the cohort from the Italian VATS Group database,
Morbid obesity was not associated with a higher rate of conversion and surgical margin positivity rates.
Morbid obesity was associated with a higher rate of complications, in particular with the pulmonary-related one.
Morbid obesity patients benefit from an equivalent surgical time, lymph-node retrieval, intraoperative blood loss, hospital postoperative length of stay, and chest tube duration than non-morbid obese patients.
Normally, patients with increased BMI are characterized by the presence of cardiovascular comorbidities, which could jeopardize hemodynamic stability. Similarly, obese patients present a decrease of residual capacity, augmented airway resistance, and a reduction of chest wall compliance, which may increase the risk of pulmonary complications [4, 19–22]. Furthermore, more than 40% of obese patients had Obstructive Sleep Apnea Syndrome [23]. OSAS patients present the incapacity to maintain airway patency, with intermittent respiratory obstruction and intensification of respiratory efforts. Finally, drug metabolism could strongly differ between patients with normal and increased BMI; consequently, titration and careful dosing should be mandatory. For all these reasons, it could be intuitive that patients with elevated BMI developed more frequently post-operative complications. Nevertheless, the current literature presents contradictory results on this topic, and the “obesity paradox,” namely the protective effect of obesity on complication incidence, has been observed also in the thoracic surgery cohort analysis [24–28]. On the other hand, several studies presented a higher incidence of complications (notably pulmonary ones) in obese patients submitted to thoracic surgery [12, 21, 29].
The foundation of the obesity paradox has not been clearly elucidated, but protective effect peripheral body fat and reduced inflammatory response are common assumptions reported in the literature [10]. Nevertheless, Childers and Allison [30] proposed a mathematical model (U-shaped curve) in order to explain this occurrence: the highest mortality was presented by severe BMI values (both morbid obesity and severe underweight), while overweight, light, or moderate obesity shown lower mortality rate. Indeed, Tulinskýc et al. suppose that if the ratio of morbidly obese patients in their cohort was higher, the occurrence of complications would have been higher [28]. Coherently, in the present study, we focalize on morbidly obese patients. Our results showed that morbid obesity was associated with a higher rate of complications after VATS lobectomy, with a high rate of pulmonary-related complications. In particular, only 30% of the pulmonary complications observed in Morbid could be considered major one. Nevertheless, greater care and attention must be paid in the early recognition and treatment of this kind of morbidity, that this particularly related to obesity pathophysiology [5].
Interestingly, we did not find an association between morbid obesity and other perioperative clinical or technical outcomes, as the rate of conversion, surgical time, and surgical margin positivity rates, lymph-node retrieval, intraoperative blood loss, hospital postoperative length of stay, and chest tube duration. In particular, our findings are in contrast with St Julien et al. that investigated the database of the society of thoracic surgeons and observed an increased operating time by 7.2 min for every 10-unit increase in BMI [29]. On the other hand, our results were in line with a recent study on RATS lobectomy that demonstrated equivalence in surgical time between obese and non-obese patients [24].
The present study could be affected by several limitations, principally associated with a large multi-institutional dataset setting, and the retrospective nature of the research. Nevertheless, the major strength of our analysis is the use of a large, homogeneous, and prospectively maintained national scale patient cohort, as the one proved by the Italian VATS Group database. This fact permits the data reliability and, consequently, reinforces our conclusions.
To conclude, our findings showed that VATS lobectomy could be safely and satisfactorily conducted even in morbidly obese patients, without an increase in conversion rate, blood loss, surgical time, hospital postoperative length of stay, and chest tube duration. Moreover, short-term technical and oncological outcomes were preserved. Nevertheless, greater care and attention must be paid to the possible development of morbidity, and in particular pulmonary ones, in the postoperative period.
Acknowledgements
Members of Italian VATS Group: Mancuso Maurizio (Azienda Ospedaliera Nazionale SS. Antonio e Biagio e C. Arrigo), Pernazza Fausto (Azienda Ospedaliera Nazionale SS. Antonio e Biagio e C. Arrigo), Refai Majed (Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona), Stella Franco (ASL Romagna, Forlì Hospital—Forlì—Department of Respiratory System and Chest Diseases), Argnani Desideria (ASL Romagna, Forlì Hospital—Forlì—Department of Respiratory System and Chest Diseases), Marulli Giuseppe (Policlinico di Bari, Ospedale Giovanni XXIII), De Palma Angela (Policlinico di Bari, Ospedale Giovanni XXIII), Bortolotti Luigi (Humanitas Gavazzeni), Rizzardi Giovanna (Humanitas Gavazzeni), Solli Piergiorgio (Policlinico S. Orsola—Malpighi), Dolci Giampiero (Policlinico S. Orsola—Malpighi), Perkmann Reinhold (Ospedale Centrale di Bolzano), Zaraca Francesco (Ospedale Centrale di Bolzano), Benvenuti Mauro Roberto (ASST Spedali Civili), Gavezzoli Diego (ASST Spedali Civili), Cherchi Roberto (AO Brotzu, Ospedale Oncologico Businco), Ferrari Paolo Albino (AO Brotzu, Ospedale Oncologico Businco), Mucilli Felice (Ospedale “Ss. Annunziata”), Camplese Pierpaolo (Ospedale “Ss. Annunziata”), Melloni Giulio (Azienda Ospedialiera Santa Croce e Carle), Mazza Federico (Azienda Ospedialiera Santa Croce e Carle), Cavallesco Giorgio (Arcispedale Sant'Anna), Maniscalco Pio (Arcispedale Sant'Anna), Voltolini Luca (Azienda Ospedaliara Universitaria Careggi), Gonfiotti Alessandro (Azienda Ospedaliara Universitaria Careggi), Sollitto Francesco (Ospedali Riuniti—Foggia—Cardio-thoracic and Vascular Department), Ardò Nicoletta Pia (Ospedali Riuniti—Foggia—Cardio-thoracic and Vascular Department), Pariscenti Gian Luca (Ospedale Policlinico San Martino), Risso Carlo (Ospedale Policlinico San Martino), Surrente Corrado (Ospedale Vito Fazzi), Lopez Camillo (Ospedale Vito Fazzi), Droghetti Andrea (Ospedale Carlo Poma), Giovanardi Michele (Ospedale Carlo Poma), Breda Cristiano (Ospedale dell'Angelo), Lo Giudice Fabio (Ospedale dell'Angelo), Alloisio Marco (Humanitas Rozzano)—Bottoni Edoardo (Humanitas Rozzano), Spaggiari Lorenzo (IEO—Istituto Europeo di Oncologia), Gasparri Roberto (IEO—Istituto Europeo di Oncologia), Torre Massimo (Ospedale Niguarda), Rinaldo Alessandro (Ospedale Niguarda), Nosotti Mario (Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico), Tosi Davide (Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico), Negri Giampeiro (Ospedale San Raffaele), Bandiera Alessandro (Ospedale San Raffaele), Baisi Alessandro (Ospedale San Paolo), Raveglia Federico (Ospedale San Paolo), Stefani Alessandro (Ospedale Policlinico di Modena), Natali Pamela (Ospedale Policlinico di Modena), Scarci Marco (Ospedale San Gerardo), Pirondini Emanuele (Ospedale San Gerardo), Curcio Carlo (Ospedale Monaldi), Amore Dario (Ospedale Monaldi), Rena Ottavio (Ospedale Maggiore della Carità), Nicotra Samuele (Policlinico Universitario), Dell’Amore Andrea (Policlinico Universitario), Bertani Alessandro (Istituto Mediterraneo per i Trapianti Ismett IRCCS), Tancredi Giorgia (Istituto Mediterraneo per i Trapianti Ismett IRCCS), Ampollini Luca (Policlinico Universitario di Parma), Carbognani Paolo (Policlinico Universitario di Parma), Puma Francesco (Ospedale Santa Maria della Misericordia), Vinci Damiano (Ospedale Santa Maria della Misericordia), Cardillo Giuseppe (Azienda Ospedaliera San Camillo—Forlanini), Carleo Francesco (Azienda Ospedaliera San Camillo—Forlanini), Margaritora Stefano (Fondazione Policlinico Universitario Agostino Gemelli IRCCS), Meacci Elisa (Fondazione Policlinico Universitario Agostino Gemelli IRCCS), Paladini Piero (Azienda Ospedaliero-Universitaria Senese), Ghisalberti Marco (Azienda Ospedaliero-Universitaria Senese), Crisci Roberto (Ospedale Giuseppe Mazzini), Divisi Duilio (Ospedale Giuseppe Mazzini), Fontana Diego (Ospedale San Giovanni Bosco), Della Beffa Vittorio (Ospedale San Giovanni Bosco), Morelli Angelo (Santa Maria della Misericordia), Londero Francesco (Santa Maria della Misericordia), Imperatori Andrea (Ospedale Di Circolo), Rotolo Nicola (Ospedale Di Circolo), Alberto (IRCCS Ospedale Sacro Cuore Don Calabria), Viti Andrea (IRCCS Ospedale Sacro Cuore Don Calabria), Infante Maurizio (Ospedale Borgo Trento), Benato Cristiano (Ospedale Borgo Trento).
Funding
Open access funding provided by Università degli Studi di Torino within the CRUI-CARE Agreement.
Declarations
Disclosures
Drs. Francesco Guerrera, Paraskevas Lyberis, Paolo Olivo Lausi, Riccardo Carlo Cristofori, Roberto Giobbe, Massimo Molinatti, Pier Luigi Filosso, Carlo Curcio, Roberto Crisci, and Enrico Ruffini have no conflicts of interest or financial ties to disclose.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Footnotes
The members of VATS group are listed in the acknowledgements section.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Francesco Guerrera, Email: francesco.guerrera@unito.it.
on the behalf of the Italian VATS Group:
Mancuso Maurizio, Pernazza Fausto, Refai Majed, Stella Franco, Argnani Desideria, Marulli Giuseppe, De Palma Angela, Bortolotti Luigi, Rizzardi Giovanna, Solli Piergiorgio, Dolci Giampiero, Perkmann Reinhold, Zaraca Francesco, Benvenuti Mauro Roberto, Gavezzoli Diego, Cherchi Roberto, Ferrari Paolo Albino, Mucilli Felice, Camplese Pierpaolo, Melloni Giulio, Mazza Federico, Cavallesco Giorgio, Maniscalco Pio, Voltolini Luca, Gonfiotti Alessandro, Sollitto Francesco, Ardò Nicoletta Pia, Pariscenti Gian Luca, Risso Carlo, Surrente Corrado, Lopez Camillo, Droghetti Andrea, Giovanardi Michele, Breda Cristiano, Lo Giudice Fabio, Alloisio Marco, Bottoni Edoardo, Spaggiari Lorenzo, Gasparri Roberto, Torre Massimo, Rinaldo Alessandro, Nosotti Mario, Tosi Davide, Negri Giampeiro, Bandiera Alessandro, Baisi Alessandro, Raveglia Federico, Stefani Alessandro, Natali Pamela, Scarci Marco, Pirondini Emanuele, Curcio Carlo, Amore Dario, Rena Ottavio, Nicotra Samuele, Dell’ Amore Andrea, Bertani Alessandro, Tancredi Giorgia, Ampollini Luca, Carbognani Paolo, Puma Francesco, Vinci Damiano, Cardillo Giuseppe, Carleo Francesco, Margaritora Stefano, Meacci Elisa, Paladini Piero, Ghisalberti Marco, Crisci Roberto, Divisi Duilio, Fontana Diego, Della Beffa Vittorio, Morelli Angelo, Londero Francesco, Imperatori Andrea, Rotolo Nicola, Alberto, Viti Andrea, Infante Maurizio, and Benato Cristiano
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