Background: This study was conducted to determine outcomes and costs of treating complicated skin and skin-structure infections (cSSSIs) due to gram-positive only, gram-negative only, or mixed pathogens (gram-positive and gram-negative), including those with methicillin-resistant Staphylococcus aureus (MRSA) or Pseudomonas aeruginosa.
Methods: Data on length of stay (LOS), mortality, and charges for cSSSIs were compiled from claims in the multihospital Solucient database from 2002 to 2006.
Results: Among the 5156 cases with pathogens identified, 59.7% were gram-positive, 21.5% were gram-negative, and 18.8% were mixed. Patients with mixed pathogens incurred significantly higher LOS (17.2 days), mortality (10.2%), and charges ($80,093) than those with cSSSIs due to gram-negative pathogens (10.1 days, 6.5%, and $41,634, respectively) or to gram-positive pathogens (9.5 days, 4.8%, and $40,046, respectively). MRSA was isolated from 21.6% of all cases and from 26.3% of cases involving mixed pathogens. MRSA cases had significantly longer LOS and greater mortality than non-MRSA cases, but similar total charges. P aeruginosa occurred in 13.3% of all cases and in 36.3% of cases involving mixed pathogens. P aeruginosa cases had significantly higher LOS and charges compared with non‒P aeruginosa cases.
Conclusion: Although gram-positive pathogens were the most common causes of cSSSIs, cases involving mixed and resistant pathogens were associated with longer LOS, greater mortality, and higher total charges.
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http://dx.doi.org/10.1016/j.ajic.2010.03.018 | DOI Listing |
Environ Geochem Health
January 2025
Environment Research Laboratory, Faculty of Science, Nepal Academy of Science and Technology, Khumaltar, Lalitpur, Nepal.
A comprehensive hydrogeochemical analysis of 156 groundwater samples (106 shallow and 50 deep) was conducted in the Kathmandu Valley, Nepal. This study addresses a significant research gap by focusing on the hydro-geochemical composition and contamination of groundwater in the Kathmandu Valley, an area with limited detailed assessments. The novelty of this work lies in its comprehensive analysis of both shallow and deep groundwater, particularly concerning the high concentration of contaminants like arsenic, microbial pathogens, and ammonium, which are critical for public health.
View Article and Find Full Text PDFMol Biol Rep
January 2025
College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, PR China.
Background: Feline diarrhea is a common digestive tract disease in clinical practice, with watery feces as the main clinical manifestation. There are numerous pathogenic factors causing feline diarrhea, among which viral infections are prevalent, and feline panleukopenia virus (FPV) is the most common pathogen. In recent years, a variety of novel viruses have been detected in the intestines of cats with diarrhea.
View Article and Find Full Text PDFGenome Med
January 2025
Department of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
Background: Mixed infection with multiple strains of the same pathogen in a single host can present clinical and analytical challenges. Whole genome sequence (WGS) data can identify signals of multiple strains in samples, though the precision of previous methods can be improved. Here, we present MixInfect2, a new tool to accurately detect mixed samples from Mycobacterium tuberculosis short-read WGS data.
View Article and Find Full Text PDFKeystone engineers profoundly influence microbial communities by altering their shared environment, often by modifying key resources. Here, we show that in an antibiotic-treated microbial community, bacterial spread is controlled by keystone engineering affecting dispersal- an effect hidden in well-mixed environments. Focusing on two pathogens, non-motile Klebsiella pneumoniae and motile Pseudomonas aeruginosa, we found that both tolerate a β-lactam antibiotic, with Pseudomonas being more resilient and dominating in well-mixed cultures.
View Article and Find Full Text PDFAME Case Rep
October 2024
Division of Respiratory and Critical Care Medicine, Jiangyin People's Hospital Affiliated to Nantong, Jiangyin, China.
Background: There are hundreds of pathogens that cause lung infections. Compared to infections caused by a single pathogen, mixed infections account for a larger proportion of pulmonary infections and have a more severe clinical presentation, while treatment options differ between the two. We aimed to explore the advantages of metagenomic next-generation sequencing (mNGS) in the diagnosis and treatment of mixed infections.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!