2014
DOI: 10.1179/2047773214y.0000000154
|View full text |Cite
|
Sign up to set email alerts
|

Socio-economic profile of patients with community-acquired skin and soft tissue infections in Delhi

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 11 publications
(13 citation statements)
references
References 14 publications
0
13
0
Order By: Relevance
“…All of the 40 studies were considered for qualitative as well as the quantitative synthesis of etiological agents. Ultimately, only 34 of 40 studies were included in the MRSA meta-analysis, 8,9,15 -46 as the remaining 6 studies did not include data relevant to MRSA (4 efficacy studies, 1 study that described heteroresistance to vancomycin among methicillin-resistant S. aureus isolates, and 1 survey wherein no exact data on prevalence were presented). 47 -52 Table 1 represents the characteristics of the studies included in the analysis.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…All of the 40 studies were considered for qualitative as well as the quantitative synthesis of etiological agents. Ultimately, only 34 of 40 studies were included in the MRSA meta-analysis, 8,9,15 -46 as the remaining 6 studies did not include data relevant to MRSA (4 efficacy studies, 1 study that described heteroresistance to vancomycin among methicillin-resistant S. aureus isolates, and 1 survey wherein no exact data on prevalence were presented). 47 -52 Table 1 represents the characteristics of the studies included in the analysis.…”
Section: Resultsmentioning
confidence: 99%
“…A total of 10 studies 8,16,18,23,28,31,36,38,41,46 identified risk factors and co-morbidities, including diabetes, tuberculosis, malignancy, leprosy, extremes of age, group-house inhabitants, high mean body temperature (101.80°F), history of preceding illness/upper respiratory tract infections/trauma, abnormal laboratory values (hemoglobin [<9.5 g%], erythrocyte sedimentation rate [>35 mm/h], c-reactive protein [>32 mg/dL], leucocytes (>14 000 cells/10 9 L), absolute neutrophil count [(>65%]), immuno-compromised status, hospitalization in the last 3 months, present intake/history of antibiotics, history of surgical procedures, history of alcohol intake and smoking, history of intravenous drugs, history of corticosteroid intake, history of mucocutaneous candidiasis, history of dermatitis, history of sexually transmitted infections, socio-economic status, chronic kidney disease, heart disease, chronic obstructive pulmonary disease, rheumatoid arthritis, MRSA carriage (nasal or axillary or perineal or hand carriage in patients), prolonged duration of hospital stay, and irrational use/over prescription of antibiotics.…”
Section: Resultsmentioning
confidence: 99%
“…5 Poorer housing conditions and smaller spaces for living have been shown to be associated with increased exposure to infections and other communicable diseases. 6 Socioeconomic status has been a concern for many infectious diseases as it has been shown to be a risk factor for worse outcomes or more resistant organisms, 7 although this may be attributed to more specific factors, such as lower level of education or monthly income. 8 More specifically with regard to respiratory infections, people from impoverished backgrounds have been noted to have both a higher incidence of disease as well as a more severe infection.…”
Section: Observations and Resultsmentioning
confidence: 99%
“…Nevertheless, the ndings from this study are useful to uncover the landscape epidemiology of MRS carriage in Australian dogs. Second, the ecological nature of our model could have contributed to a lack of statistical support for the socioeconomic variable which as previously been postulated to be an important factor in antimicrobial resistant bacteria epidemiology, including MRSA (56,57). While SEIFA scores were signi cant at the univariable analysis the fact that the SEIFA scores were available at the postcode level could have contribute to the loss of statistical support due to presence of regression dilution bias (58).…”
Section: Gympie Regional Council Surveillance Strategies Associated mentioning
confidence: 93%