Evaluation of dental demands and needs of people experiencing homelessness in the city of Rome, Italy

OBJECTIVE: Poor oral health and oral diseases are common among people experiencing homelessness. The aim of this study was to evaluate the dental demands and needs of a population of homeless persons in the city of Rome, Italy. PATIENTS AND METHODS: The clinical records of 165 homeless patients admitted between October 2020 and October 2021 to the dental service of the Primary Care Services of the Eleemosynaria Apostolica, Vatican City, were retrospectively reviewed. The service employed dentists to evaluate dental needs and oral conditions in patients experiencing homelessness. The main dental and oral pathological conditions were noted. RESULTS: One hundred and sixty-five records of homeless patients were included in the study. The sample consisted in 138 males (76.97%) and 27 females (23.03%) with a mean age of 46.9 years (range 7-85 years). Acute tooth pain was reported by 132 (80%) patients, 42 (25.45%) had edentulism or missing teeth and 18 (10.91%) patients had oral lesions. Both dental and oral pathologies were intercepted and managed in secondary health-care facilities. CONCLUSIONS: Given the specific peculiarities of this vulnerable population, it is import-ant to implement strategies that facilitate the access of persons experiencing homelessness to dental evaluation with a preventive and curative perspective.

COVID-19 pandemic and days of absence from work in workers with flu-like symptoms in the City of Rome, Italy.

ABSTRACT: COVID-19 has dramatically affected working forces. We aim to report our occupational medicine service's experience in managing suspected COVID-19 cases during the pandemic through a retrospec-tive observational study. We compared the number of days employees were absent from work due to flu-like symptoms from March 2020 to February 2021 to the same period the previous year (2019-2020). Two hundred thirty-four patients (+47.2% compared to the previous year) who tested negative for SARS-CoV-2 reported flu-like symp-toms; the number of days of absence from work was 2812 (+190.2% compared to the previous year). On average, employees with flu-like symptoms lost 12.07 working days compared to 6.12 in the previous year (p<0.0001). In conclusion, in our sample COVID-19 has increased the number of working day loss. However, our approach proved to be important, especially during the first months of the pandemic, to limit SARS-CoV-2 spread in workplaces.

SARS-CoV-2 infection prevalence in people experiencing homelessness.

OBJECTIVE: People experiencing homelessness have peculiar characteristics that make them more vulnerable to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) transmission and to more serious forms of Coronavirus Disease 19 (COVID-19). The aim of this study was to evaluate the prevalence of SARS-CoV-2 infection in the homeless population assisted by the primary care services of the Eleemosynaria Apostolica, Vatican City. PATIENTS AND METHODS: Persons experiencing homelessness and the volunteers assisting them were tested for COVID-19 through PCR and antigen rapid test between October 1st, 2020, and June 5th, 2021, in the clinical facilities of the Eleemosynaria Apostolica. RESULTS: A total of 1665 subjects from 96 different countries in five continents were included in the study; age range was 1-90 years. Overall, 2315 COVID-19 tests through nasopharyngeal swab were performed; 1052 Polymerase Chain Reaction (PCR) tests and 1263 antigen rapid tests. Nearly 40% of the subjects underwent both tests (n=650, 39.04%), 402 were tested with PCR test only (24.14%) and 613 with antigen test only (36.8%). PCR tests were negative in 966 cases and positive in 86 (8.17%), while antigen tests were negative in 1205 cases and positive in 58 (4.59%). The number of positive cases varied over time, with a drastic increase during the winter months of 2020 and a progressive decrease over 2021. Among positive cases, 24.41% were symptomatic; symptoms included fever, breathing difficulties, anosmia/hyposmia, cough, headache, and diarrhea. CONCLUSIONS: This study reported an overall prevalence of SARS-CoV-2 infection in our sample slightly above 8%. Additional data on viral genome through sequencing of SARS-CoV-2 in positive cases are of utmost importance to help identify variants and implement specific infection control measures.

Gemelli decision tree Algorithm to Predict the need for home monitoring or hospitalization of confirmed and unconfirmed COVID-19 patients (GAP-Covid19): preliminary results from a retrospective cohort study.

OBJECTIVE: To develop a deep learning-based decision tree for the primary care setting, to stratify adult patients with confirmed and unconfirmed coronavirus disease 2019 (COVID-19), and to predict the need for hospitalization or home monitoring. PATIENTS AND METHODS: We performed a retrospective cohort study on data from patients admitted to a COVID hospital in Rome, Italy, between 5 March 2020 and 5 June 2020. A confirmed case was defined as a patient with a positive nasopharyngeal RT-PCR test result, while an unconfirmed case had negative results on repeated swabs. Patients' medical history and clinical, laboratory and radiological findings were collected, and the dataset was used to train a predictive model for COVID-19 severity. RESULTS: Data of 198 patients were included in the study. Twenty-eight (14.14%) had mild disease, 62 (31.31%) had moderate disease, 64 (32.32%) had severe disease, and 44 (22.22%) had critical disease. The G2 value assessed the contribution of each collected value to decision tree building. On this basis, SpO2 (%) with a cut point at 92 was chosen for the optimal first split. Therefore, the decision tree was built using values maximizing G2 and LogWorth. After the tree was built, the correspondence between inputs and outcomes was validated. CONCLUSIONS: We developed a machine learning-based tool that is easy to understand and apply. It provides good discrimination in stratifying confirmed and unconfirmed COVID-19 patients with different prognoses in every context. Our tool might allow general practitioners visiting patients at home to decide whether the patient needs to be hospitalized.