Multimorbidity and SARS-CoV-2-Related Outcomes: Analysis of a Cohort of Italian Patients.

BACKGROUND: Since the outbreak of the COVID-19 pandemic, identifying the main risk factors has been imperative to properly manage the public health challenges that the pandemic exposes, such as organizing effective vaccination campaigns. In addition to gender and age, multimorbidity seems to be 1 of the predisposing factors coming out of many studies investigating the possible causes of increased susceptibility to SARS-CoV-2 infection and adverse outcomes. However, only a few studies conducted have used large samples. OBJECTIVE: The objective is to evaluate the association between multimorbidity, the probability to be tested, susceptibility, and the severity of SARS-CoV-2 infection in the Piedmont population (Northern Italy, about 4 million inhabitants). For this purpose, we considered 5 main outcomes: access to the swab, positivity to SARS-CoV-2, hospitalization, intensive care unit (ICU) admission, and death within 30 days from the first positive swab. METHODS: Data were obtained from different Piedmont health administrative databases. Subjects aged from 45 to 74 years and infections diagnosed from February to May 2020 were considered. Multimorbidity was defined both with the Charlson Comorbidity Index (CCI) and by identifying patients with previous comorbidities, such as diabetes and oncological, cardiovascular, and respiratory diseases. Multivariable logistic regression models (adjusted for age and month of infection and stratified by gender) were performed for each outcome. Analyses were also conducted by separating 2 age groups (45-59 and 60-74 years). RESULTS: Of 1,918,549 subjects, 85,348 (4.4%) performed at least 1 swab, of whom 12,793 (14.9%) tested positive for SARS-CoV-2. Of these 12,793 subjects, 4644 (36.3%) were hospitalized, 1508 (11.8%) were admitted to the ICU, and 749 (5.9%) died within 30 days from the first positive swab. Individuals with a higher CCI had a higher probability of being swabbed but a lower probability of testing positive. We observed the same results when analyzing subjects with previous oncological and cardiovascular diseases. Moreover, especially in the youngest group, we identified a greater risk of being hospitalized and dying. Among comorbidities considered in the study, respiratory diseases seemed to be the most likely to increase the risk of having a positive swab and worse disease outcomes. CONCLUSIONS: Our study shows that patients with multimorbidity, although swabbed more frequently, are less likely to get infected with SARS-CoV-2, probably due to greater attention on protective methods. Moreover, a history of respiratory diseases is a risk factor for a worse prognosis of COVID-19. Nonetheless, whatever comorbidities affect the patients, a strong dose-response effect was observed between an increased CCI score and COVID-19 hospitalization, ICU admission, and death. These results are important in terms of public health because they help in identifying a group of subjects who are more prone to worse SARS-CoV-2 outcomes. This information is important for promoting targeted prevention and developing policies for the prioritization of public health interventions.

'Scuola sicura': a school screening testing programme to prevent the spread of COVID-19 in students in Piedmont.

BACKGROUND: 'Scuola sicura' (SS) programme aims to monitor the rate of COVID-19 and to contain its spread within the school population through early case isolation. OBJECTIVES: to describe the initial process and outcome evaluation results. DESIGN: descriptive study of an experimental screening testing programme in children in Piedmont Region (Northern Italy) in the period January-March 2021. The data used came from the COVID-19 platform and the Local Health Units, the archives of birth certificates (CedAP), and hospital discharge files (SDO). SETTING AND PARTICIPANTS: the screening programme targeted second and third grade students in first level secondary schools. Participants were subdivided into four groups; one group each week underwent screening, yielding one test per student per month. MAIN OUTCOME MEASURES: it was calculated: 1. number of positive cases detected vs total number of students tested in the SS programme; 2. number of positive cases detected outside the SS program vs. total number of students in the target population. The number of quarantines due to SS and no-SS case identification were detected. To investigate the spread of COVID-19 in households, the mother-child pairs were identified through record linkage between the CedAP and SDO archives, and positive mothers were identified. RESULTS: sixty-nine percent of schools and 19.5% of the students participated in the programme. SS detected 114 positives cases for SARS-CoV-2. On 08.03.2021, the target classes started distance learning: 69 of the 114 positive students were identified before that date, leading to the activation of 67 quarantine measures. Only for 61 out of 69 of those students (88%) was possible to identify the mother; 46 mothers had performed a swab test after the positivity of their child with a positive result in 11 cases. Asymptomatic cases identified at screening during in-class learning period accounted for 26.5% of the total number of cases occurred in the participating classes. CONCLUSIONS: this is one of the few studies (and the first in Italy) to describe the functioning and predictive capacity of school screening testing for SARS-CoV-2 in a real-world situation. The findings provide data-driven suggestions for government agencies when planning large-scale school screening testing programmes.