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Estimating the Burden of Clinically Significant Infections and Predictors for Hospitalization for Skin and Soft Tissue Infections, Fulton County, Georgia, 2017. | LitMetric

AI Article Synopsis

  • A study in Fulton County, Georgia, assessed the incidence of infections in 2017, focusing on all clinically relevant diseases from community and healthcare settings.
  • The overall incidence of clinically relevant infections was found to be 405.7 cases per 100,000 people, with higher rates in the Black population (500.84 cases) compared to White patients (363.67 cases).
  • Skin and soft tissue infections (SSTIs) were the most common, with 30% of cases requiring hospitalization, influenced by factors like methicillin-resistant infections and homelessness.

Article Abstract

Background: Incidence estimates of infections rarely include the full spectrum of clinically relevant disease from both community and healthcare settings.

Methods: We conducted a prospective study capturing all infections in Fulton County, Georgia, during 2017. Medical records of patients with any incident infection (clinical cultures growing from any site, without prior positive culture in previous 14 days) were reviewed. Estimates of disease incidence were calculated using age-, race-, and sex-specific population denominators accounting for weighted sampling methods. Multivariable logistic regression models were used to identify risk factors for hospitalization among patients with skin and soft tissue infections (SSTIs).

Results: The overall incidence of clinically relevant infection was 405.7 cases per 100 000 people (standard error [SE], 5.62 [range, 400.1-411.3]). Overall incidence for those of Black race was 500.84 cases per 100 000 people (SE, 14.55), whereas White patients had overall incidence of 363.67 cases per 100 000 people (SE, 13.8). SSTIs were the most common infection (2351; 225.8 cases per 100 000 people [SE, 7.1]), and 30% required hospitalization. Among SSTIs, after adjusting for invasive disease, cellulitis, diabetes, and demographics, independent predictors of hospitalization included methicillin-resistant (adjusted odds ratio [aOR], 1.6 [95% confidence interval {CI}, 1.0-2.7]) and homelessness (aOR, 4.9 [95% CI, 1.1-22]).

Conclusions: The burden of clinically relevant infections is high, particularly among the Black population, and risks for hospitalization among SSTIs include isolate factors and factors related to patients' vulnerability.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10725309PMC
http://dx.doi.org/10.1093/ofid/ofad601DOI Listing

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