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Review Papers | Medical Microbiology | India | Volume 12 Issue 1, January 2023 | Rating: 5.4 / 10
Impact of Wound Infected Patients based on Demographic and Comorbidities
Edwina Jospiene M [4] | S. Subramaniam [3] | Shyama Subramaniam [4]
Abstract: In modern human history, infectious disease has posed a threat to public health several times. Antimicrobial resistance intimidates the effective prevention and treatment of an expanding range of infections caused by pathogenic microorganisms. In particular, some people are at higher risk of developing serious infection. Antimicrobial resistance occurs when bacteria, viruses, fungi and parasites change over time and no longer respond to medicines making infections harder for treat and increasing the risk of disease spread, severe illness and even death. As an effect, the medicines become ineffective and contagions persist in the body, increasing the risk of spread to others. Certain risk factors including age, gender and comorbidities developed during lifetime can put them at increased risk of severe effects from infections. Objective: To study about the various risk factors affecting the severity of bacterial infection in Chennai population. Method: The samples were cultured and categorized using structural and diagnostic biochemical tests. The analysis of the frequency of the isolates and their age, gender and comorbidities were calculated using SPSS (version 21) at a significant level of P - value < 0.05. Results: In this study, bacterial isolates were collected from the 300 clinical specimens, in which of 103 male and 197 were females. The results showed that 38% were gram - positive and 62% were gram negative. In our study, the frequency of staphylococcus aureus bacteria was higher and the penicillin group of antibiotics shows more resistance in most of the organisms. Conclusion: To prevent further spread of resistance, increase the efficacy of antibiotics and prevent multidrug resistance, it is essential to establish accurate schedule for the use of antibiotics and assess the resistance pattern intermittently in each region based on the antibiotic resistance pattern.
Keywords: Antimicrobial resistance, Bacterial infection, gram - positive, gram negative, staphylococcus aureus, antibiotics
Edition: Volume 12 Issue 1, January 2023,
Pages: 368 - 372