ArticlePloS one2021
Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data: A population-based cohort study from Italy.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- COVID-19 risk, course and outcome in people with mental disorders: a systematic review and meta-analyses.Epidemiology and psychiatric sciences · 2023Pooled it
- Significant association between HIV infection and increased risk of COVID-19 mortality: a meta-analysis based on adjusted effect estimates.Clinical and experimental medicine · 2023Pooled it
- Inflammatory bowel disease and COVID-19 outcomes: a meta-analysis.Scientific reports · 2022Pooled it
- Association Between Mood Disorders and Risk of COVID-19 Infection, Hospitalization, and Death: A Systematic Review and Meta-analysis.JAMA psychiatry · 2021Pooled it
- Depression, worry, and loneliness are associated with subsequent risk of hospitalization for COVID-19: a prospective study.Psychological medicine · 2023Article
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- Acute and chronic kidney disease and risk of hospital mortality during COVID-19 pandemic waves in the pre-vaccination era.Clinical kidney journal · 2023Article
- Incidence of symptomatic Covid-19 infections in patients with mastocytosis and chronic myeloid leukemia: A comparison with the general Austrian population.European journal of haematology · 2023Article
- Best practice approaches to outpatient management of people living with Parkinson's disease during the COVID-19 pandemic.Journal of neural transmission (Vienna, Austria : 1996) · 2022Article
- External Validation of Mortality Scores among High-Risk COVID-19 Patients: A Romanian Retrospective Study in the First Pandemic Year.Journal of clinical medicine · 2022Article
- Risk of SARS-CoV-2 Infection Breakthrough among the Non-Vaccinated and Vaccinated Population in Italy: A Real-World Evidence Study Based on Big Data.Healthcare (Basel, Switzerland) · 2022Article
- Postvaccination SARS-CoV-2 Infections among Healthcare Professionals: A Real World Evidence Study.Vaccines · 2022Article
- Baseline Drug Treatments as Indicators of Increased Risk of COVID-19 Mortality in Spain and Italy.International journal of environmental research and public health · 2021Observational
- Pre-Exposure Prophylaxis with Hydroxychloroquine Does Not Prevent COVID-19 nor Virus Related Venous Thromboembolism.Viruses · 2021Article
- Who complies with coronavirus disease 2019 precautions and who does not?Current opinion in psychiatry · 2021Review
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe novel coronavirus (SARS-CoV-2) pandemic spread rapidly worldwide increasing exponentially in Italy. To date, there is lack of studies describing clinical characteristics of the people at high risk of infection. Hence, we aimed (i) to identify clinical predictors of SARS-CoV-2 infection risk, (ii) to develop and validate a score predicting SARS-CoV-2 infection risk, and (iii) to compare it with unspecific scores.
methodsRetrospective case-control study using administrative health-related database was carried out in Southern Italy (Campania region) among beneficiaries of Regional Health Service aged over than 30 years. For each person with SARS-CoV-2 confirmed infection (case), up to five controls were randomly matched for gender, age and municipality of residence. Odds ratios and 90% confidence intervals for associations between candidate predictors and risk of infection were estimated by means of conditional logistic regression. SARS-CoV-2 Infection Score (SIS) was developed by generating a total aggregate score obtained from assignment of a weight at each selected covariate using coefficients estimated from the model. Finally, the score was categorized by assigning increasing values from 1 to 4. Discriminant power was used to compare SIS performance with that of other comorbidity scores.
resultsSubjects suffering from diabetes, anaemias, Parkinson's disease, mental disorders, cardiovascular and inflammatory bowel and kidney diseases showed increased risk of SARS-CoV-2 infection. Similar estimates were recorded for men and women and younger and older than 65 years. Fifteen conditions significantly contributed to the SIS. As SIS value increases, risk progressively increases, being odds of SARS-CoV-2 infection among people with the highest SIS value (SIS = 4) 1.74 times higher than those unaffected by any SIS contributing conditions (SIS = 1).
conclusionConditions and diseases making people more vulnerable to SARS-CoV-2 infection were identified by the current study. Our results support decision-makers in identifying high-risk people and adopting of preventive measures to minimize the spread of further epidemic waves.
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