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10.7416/ai.2021.2435

http://scihub22266oqcxt.onion/10.7416/ai.2021.2435
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33565568!ä!33565568

suck abstract from ncbi


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pmid33565568      Ann+Ig 2021 ; 33 (6): 533-542
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  • Public health and clinical approach to proactive Prevalence of symptoms-based diagnosis of mild SARS-CoV-2 infection in southern Tuscany #MMPMID33565568
  • Scalese M; Trivellini G; Sposato B
  • Ann Ig 2021[Nov]; 33 (6): 533-542 PMID33565568show ga
  • BACKGROUND: To date, it is unknown how many Italians have had or have a mild SARS-CoV-2 infection, because of the lack of epidemiological studies involving the general population. STUDY DESIGN: Aim of this study was to investigate the prevalence/incidence of a symptoms-based mild SARS-CoV-2 infection in southern Tuscany, by using an online survey. METHODS: An anonymous random middle-aged sample of 3,460 individuals completed the survey. A symptom-score >/=5, calculated on 195 patients with RT-PCR COVID-19 disease (sensitivity/specificity of 0.815/0.780 respectively) was used for the diagnosis. RESULTS: This cut-off highlighted that 12.3% of all the population might have had a SARS-CoV-2 infection, while 3.9% of them might have it at the time of the survey. Female sex (OR=1.334 [1.029-1.728]; p=0.030), obesity status (OR=1.961 [1.304-2.949]; p=0.001), asthma (OR=2.035 [1.433-2.890]; p=0.0001), autoim-mune diseases (OR=2.103 [1.381-3.201]; p=0.001), were all risk factors for showing mild SARS-CoV-2 infection. Instead, the elderly had a low probability to develop mild forms of the disease (OR=0.984 [0.975-0.994]; p=0.001). CONCLUSION: A remarkable number of subjects in Southern Tuscany may have already had a mild SARS-CoV-2 infection. Symptoms scores might be used to screen subjects with a suspected infection. Female sex, obesity, asthma, autoimmune diseases may be factors linked with mild forms of COVID-19 disease.
  • |*Public Health[MESH]
  • |Age Factors[MESH]
  • |Asthma/complications[MESH]
  • |Autoimmune Diseases/complications[MESH]
  • |COVID-19/*diagnosis/epidemiology[MESH]
  • |Female[MESH]
  • |Health Surveys/methods/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Italy/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Obesity/complications[MESH]
  • |Prevalence[MESH]
  • |Risk Factors[MESH]
  • |Sensitivity and Specificity[MESH]
  • |Sex Factors[MESH]


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