Background and Objective:
The presence of multiple chronic diseases is significantly associated with an increase in the probability of mortality when it is associated to Covid-19 infection. The aims of our study were: i) to evaluate the association between the severity of the Covid-19 disease and the presence of one or more comorbidities in the population of prisoners in 2 prisons of central Italy: LAquila and Sulmona; ii) to describe the profiles of inmates using multiple correspondence analysis.

Methods:
For these purposes, a database was created including age, gender and clinical variables. The database containing anonymized data has been password protected.The Kruscall-Wallis’s test was used to evaluate a possible association between diseases and the severity of covid-19 stratified by age groups. We used multiple correspondence analysis (MCA) to describe a possible characteristic profile of inmates.

Results:
Our results show that age group 0-50y (covid-19 negative), of the LAquila prison, 19/62 (30.65%) were without comorbidity, 17/62 (27.42%) with 1-2 comorbidities and only 3.23% had >2 diseases. It is interesting to note that in the elderly the frequency of 1-2 or >2 pathologies were higher and only 3/51 (5.88%) inmates did not had comorbidities and were covid-19 negative (p=0.008). The MCA identified the following profiles: the prison of LAquila shows a group made up of women, aged over 60, with diabetes, with cardiovascular, orthopedic problems and hospitalized for covid-19; the Sulmona prison presents a group aged over 60, with diabetes, with cardiovascular, respiratory, urological,gastrointestinal and orthopedic problems and hospitalized or symptomatic due to covid-19.

Conclusion:
Our study showedthat Covid-19 infection affected inmates with more than one comorbidity and older age with create disease severity.