Original Article
Clinical Profile of MRSA-Positive Primary, Secondary, and Surgical Site Skin and Soft Tissue Infections
Authors: Faiza Zeeshan, Dur Muhammad Shaikh, Salma Parween, Shabana
DOI: https://doi.org/10.37184/jlnh.2959-1805.4.17
Year: 2026
Volume: 4
Received: Sep 29, 2025
Revised: Jan 07, 2025
Accepted: Jan 09, 2026
Corresponding Auhtor: Faiza Zeeshan (faiza.zeeshan@jsmu.edu.pk)
All articles are published under the Creative Commons Attribution License
ABSTRACT
Background: Methicillin-resistant Staphylococcus aureus (MRSA) is the principal pathogen isolated from skin and soft tissue infections (SSTIs), with clinical manifestations and risk factors varying by SSTI subtype. Understanding this variation in clinical presentation and associated risk factors within local populations is essential for effective diagnosis and management.
Objective: This study compares the diverse clinical characteristics of MRSA-associated subtypes of SSTIs in the local population.
Methods: This cross-sectional study was conducted at the Department of Pathology, Jinnah Sindh Medical University, Karachi, Pakistan, between May 2024 and April 2025. The study included 268 pus specimens collected from patients with clinically diagnosed SSTIs. The samples were cultured, and antibiotic susceptibility was performed to identify MRSA, which was confirmed by polymerase chain reaction using standard protocols. The relevant clinical data were gathered in pre-designed proformas, which were later entered into Microsoft Excel and analysed in SPSS using descriptive statistics, cross-tabulations, and the Chi-square test.
Results: Mean age of patients was 41.25±16.441. Of the total 268, 115 were primary bacterial infections and surgical site infections, and 38 were secondary bacterial infections. The most common SSTI type was surgical site infections (42.9%), followed by abscesses in the non-surgical infections category (24.3%). The study highlighted that MRSA-positive cases were highly prevalent in females (53.7%) among the age group 40-60 years (55.2%). Active smokers showed a preponderance for MRSA-positive primary bacterial infections (13.9%). A history of hospitalization was more common among the MRSA-positive surgical site infection cohort than in the other two groups (90.4%). The majority of subjects had moderate-severity wounds (51.9%), and the Torso was the most affected site (54.1%).
Conclusion: MRSA can be linked with varying degrees of clinical features and risk factors in SSTIs subtypes. These findings may provide evidence-based insights for improved patient care and treatment strategies.
Keywords: Abscess, antibacterial agents, bacterial infections, methicillin-resistant Staphylococcus aureus, soft tissue infections, surgical wound infections.
INTRODUCTION
Staphylococcus aureus is the most common etiologic agent isolated from skin and soft tissue infections (SSTIs). Methicillin-resistant Staphylococcus aureus (MRSA) has been established as a superbug and is included on the World Health Organization's bacterial pathogens priority list [1] via Microbial Surface Components Recognizing Adhesive Matrix Molecules, MRSA attaches to the epithelial cells, and immune evasion involves Protein A and coagulase. Toxins such as PVL and alpha-toxin destroy immune cells, while enzymes facilitate tissue invasion [2]. Biofilm formation and global regulators, such as agr (agr quorum-sensing system), further enhance the persistence and severity of infection [3]. Hence, a combination of factors increases MRSA's environmental adaptation and virulence, resulting in distinct epidemiological patterns of infection.
The clinical spectrum of MRSA-associated SSTIs ranges from superficial skin lesions to severe, debilitating necrotizing fasciitis [4]. Understanding the prevalence of MRSA across different infection types is crucial for developing targeted treatment strategies, implementing infection control measures, and affecting antibiotic stewardship practices. The SSTIs can be classified as primary bacterial infections (PBI), secondary bacterial infections (SBI), or surgical site infections (SSIs). Primary skin infections occur in previously healthy individuals without predisposing skin conditions or recent healthcare exposure, typically manifesting as cellulitis, abscesses, or impetigo [5]. These infections are predominantly caused by community-associated MRSA (CA-MRSA) strains, which present genetic characteristics and virulence profiles compared to healthcare-associated MRSA (HA-MRSA). The Secondary skin infections develop as complications of pre-existing dermatological conditions and in chronic wounds [6]. These infections often involve both HA-MRSA and CA-MRSA strains, highlighting the reciprocity between host susceptibility factors and pathogen virulence factors. The prevalence of MRSA among SSTIs is found to be as high as 48% in African territory [7]. In a tertiary care center in China, MRSA accounted for 32.75% of S. aureus isolates from SSTIs, with community-associated MRSA (CA-MRSA) being predominant [8]. In the US, MRSA is the most common cause of skin and soft tissue infections in emergency departments, with prevalence rates from 15% to 74% [9, 10]. The prevalence of MRSA is considerably high in Pakistan; a study from the Punjab sector reported 61.8% cases of MRSA [11].
SSIs represent a distinct category of SSTIs that occur following invasive procedures, ranging from minor dermatological surgeries to major reconstructive operations [12]. The prevalence of MRSA in surgical site infections varies based on procedural factors, patient characteristics, perioperative antibiotic prophylaxis, and institutional infection control practices [13]. In some African and Middle Eastern hospitals, over half of S. aureus SSIs are due to MRSA [14, 15]. Current epidemiological data suggest significant variability in MRSA prevalence across these three infection categories, influenced by factors such as geographical location, patient demographics, healthcare facility characteristics, and temporal trends [16]. The emergence of new MRSA clones, changes in antibiotic prescriptions, and new infection control practices are reshaping the epidemiological topography of skin infections.
Furthermore, the challenge of accurately diagnosing MRSA with laboratory methods and the possibility of treatment based on local infection rates highlight the need for comprehensive surveillance studies. Data from Pakistan is limited. Therefore, this research aims to analyse MRSA-positive cases in primary, secondary, and surgical skin infections and their relationship with clinical parameters to develop epidemiological insights in the local region. This will help to strengthen clinical guidelines, develop antibiotic selection policies, improve infection control, and design prevention strategies in our country.
METHODS
This comparative cross-sectional study was conducted at the Department of Pathology, Jinnah Sindh Medical University, Karachi, Pakistan, between May 2024 and April 2025. Approval from the institutional review board was sought before the commencement of the study (IRB: JSMU/IRB/2023/827).
The sample size was calculated using OpenEpi (Version 3), based on an anticipated frequency of 16% from the previous study, with a 95% confidence interval and a 5% margin of error [16]. The minimum required sample size was calculated to be 207 [17]. Using a non-probability consecutive sampling technique, 268 pus specimens from skin and soft tissue infections from various departments of Jinnah Postgraduate Medical Centre, Karachi, were collected during the stipulated time period. All patients with wounds or lesions clinically diagnosed as SSTIs, regardless of age or gender, were included. (SSIs were considered as a subset of SSTIs due to anatomical and microbial similarities). Patients who had been on antibiotics for one week or who did not consent to participate were excluded. The relevant demographic clinical data were collected in a pre-designed questionnaire. For subsequent categorization of the patient's weight status, the Body Mass Index (BMI) was calculated using the formula: weight (kg) / [height (m)]².
Patients were briefed on the procedure for collecting pus before sampling. Pus was collected from superficial wounds according to the standard protocol, by wiping the area with normal saline and swabbing along the leading edge of the wound [18]. A sterile needle and syringe were used to collect 5 -10 ml of aspirated material after appropriate surface decontamination from deeper wounds and abscesses. The samples were transported to the Jinnah Sindh Medical University diagnostics laboratory for sample processing.
The specimens were cultured on blood, Mannitol salt agar (MSA), and MacConkey's agar. Relevant biochemical tests made the identification of organisms. Antibacterial susceptibility testing was performed using the disc diffusion method, as outlined in the Clinical Laboratory Standards Institute guidelines. Strains that showed less than 21 mm of zone inhibition to cefoxitin 30 µg were considered MRSA [19]. The MRSA phenotypes were processed for mecA detection by polymerase chain reaction as per standard protocols.
Genomic DNA was extracted from overnight cultures of S. aureus isolates using a commercial bacterial DNA extraction kit (Qiagen, Germany) following the manufacturer's protocol. PCR amplification of the mecA gene was performed using specific primers: forward 5′-TCCAGATTACAACTTCACCAGG-3′ and reverse 5′-CCACTTCATATCTTGTAACG-3′, targeting a 162 bp product. The reaction mixture (25 μL) contained 12.5 μL of 2× PCR master mix (Thermo Scientific), 0.5 μM of each primer, 2 μL of template DNA, and nuclease-free water. Thermocycling conditions included an initial denaturation step at 94°C for 5 min, followed by 30 cycles of denaturation at 94°C for 30 sec, annealing at 55°C for 30 sec, and extension at 72°C for 1 min, with a final extension at 72°C for 5 min. PCR products were analyzed by electrophoresis on a 1.5% agarose gel stained with ethidium bromide and visualized under UV illumination [19].
The data were recorded in Microsoft Excel and statistically analyzed on IBM SPSS Statistics for Windows, version 22.0 (IBM Corp, Armonk, NY, USA). The descriptive statistics were presented as frequencies, percentages, and standard deviations. The p-values were calculated using the chi-square test and the t-test.
RESULTS
The current study highlighted the various features of SSTI types. The mean age of patients was 41.25±16.441. Of the total 268, 115 were primary bacterial infections and surgical site infections, and 38 were secondary bacterial infections. The most common infection type was SSI (115, 42.9%), followed by abscess (65, 24.3%), as shown in Fig. (1).
A majority of the individuals were between 40 and 60 years of age (148, 55.2%), with higher MRSA prevalence among the PBI and SSI groups (p=0.001). Overall, a higher prevalence of SSTIs was observed in females (144, 53.7%); likewise, females were more common in the SSI group (68, 25.4%). In subsets of PBI (51, 19%) and SBI (26, 9.7%), males were likely to be affected (p=0.001). Similarly, a significant number of participants were married (234, 87.3%). This observation was consistent across all SSTI types. A higher frequency of single, unmarried patients was observed in PBI (17; 6.3%), but this difference did not reach statistical significance (p=0.407). The study included more participants from urban areas (150, 56%), and 25.7% of PBIs were from the urban population, indicating higher rates compared to the other two types. However, the difference was not statistically significant. The rural population was slightly higher in the SSI group (58, 21.6%) (p=0.177). Unemployment among study subjects was 60.4%, and the majority of working individuals were employed in low-risk occupations, such as office workers and non-healthcare-associated staff. Among employed individuals, PBI was highly prevalent in MRSA-positive cases (50, 18.7%). Even so, high-risk occupations were linked with MRSA SSI (26, 19.7%). In the SBI group, a significant number of patients were employed (26, 9.7%), and associated with low-risk occupations (16, 42.1%) (p<0.001) (Table 1).
Table 2 compares patients' traits across various MRSA-positive SSTI types. According to the findings, a substantial proportion of enrolled participants had a normal weight (183, 68.3%), and overweight patients were found to be more affected with SSI (20, 17.4%). A majority of the patients reported no history of similar infections (227, 84.7%), and household contact history was observed more frequently in patients in the MRSA-PBI group (25, 21.7%) (p<0.001). Most of the enrolled subjects had not smoked or used any addictive substance (192, 71.6%). However, among those who had used such substances, the majority (37,13.8%) were users of betel nuts and leaves, and gutka (chewable tobacco preparations). Active smoking was noticed more commonly in the PBI group (16,13.9%), while patients in the SSI group were more likely to have a history of substance use (22,19.1%) (p<0.001). Another notable finding was that most participants had visited or been admitted to a healthcare facility in the previous 90 days (135, 50.4%). A history of hospitalization within 90 days was more common among SSI patients than in the other two groups (104, 90.4%) (p<0.001).
Table 1: Demographic features of the study population according to the types of SSTIs.
Variables | Primary Bacterial Infections n (%) | Secondary Bacterial Infections n (%) | Surgical Site Infections n (%) | Total n (%) | p-value |
|---|---|---|---|---|---|
Age range | |||||
Under 20 years | 9 (3.4) | 8 (3) | 18 (6.7) | 35 (13.1) | 0.001 |
Between 20.1 and 40.0 years | 41 (15.3) | 4 (1.5) | 22 (8.2) | 67 (25) | |
Between 40.1 and 60.0 years | 62 (23.1) | 24 (9) | 62 (23.1) | 148 (55.2) | |
Above 60.1 years | 3 (1.1) | 2 (0.7) | 13 (4.9) | 18 (6.7) | |
Gender | |||||
Male | 51 (19) | 26 (9.7) | 47 (17.5) | 124 (46.3) | 0.001 |
Female | 64 (23.9) | 12 (4.5) | 68 (25.4) | 144 (53.7) | |
Residence | |||||
Urban | 69 (25.7) | 24 (9) | 57 (21.3) | 150 (56) | 0.177 |
Rural | 46 (17.2) | 14 (5.2) | 58 (21.6) | 118 (44) | |
Marital status | |||||
Single | 17 (6.3) | 6 (2.2) | 11 (4.1) | 34 (12.7) | 0.407 |
Married | 98 (36.6) | 32 (11.9) | 104 (38.8) | 234 (87.3) | |
Occupation | |||||
Employed | 50 (18.7) | 26 (9.7) | 30 (11.2) | 106 (39.6) | <0.001 |
Unemployed | 65 (24.3) | 12 (4.5) | 85 (31.7) | 162 (60.4) | |
Occupation risk | |||||
High risk | 5 (4.3) | 10 (26.3) | 11 (9.6) | 26 (19.7) | <0.001 |
Low risk | 45 (39.1) | 16 (42.1) | 19 (16.5) | 80 (29.9) | |
Not applicable | 65 (56.5) | 12 (31.6) | 85 (73.9) | 162 (60.4) | |
Table 2: Distribution of various patients' traits among SSTIs subtypes.
Variables | Primary Bacterial Infections n (%) | Secondary Bacterial Infections n (%) | Surgical Site Infections n (%) | Total n (%) | p-value |
|---|---|---|---|---|---|
Weight status | |||||
Underweight | 4 (3.5) | 2 (5.3) | 21 (18.3) | 27 (10.1) | <0.001 |
Normal | 92 (80) | 28 (73.7) | 63 (54.8) | 183 (68.3) | |
Overweight | 11 (9.6) | 8 (2.1) | 20 (17.4) | 39 (14.6) | |
Obese i | 6 (5.2) | 0 (0) | 7 (6.1) | 13 (4.9) | |
Obese ii | 0 (0) | 0 (0) | 4 (3.5) | 4 (1.5) | |
Obese iii | 2 (1.7) | 0 (0) | 0 (0) | 2 (0.7) | |
Contact with a known case | |||||
No contact | 86 (74.8) | 26 (68.4) | 115 (100) | 227 (84.7) | <0.001 |
Household contact | 25 (21.7) | 10 (26.3) | 0 (0) | 35 (13.1) | |
Non-household contact | 4 (3.5) | 2 (5.3) | 0 (0) | 6 (2.2) | |
Substance use | |||||
No | 87 (75.7) | 22 (57.9) | 83 (72.2) | 192 (71.6) | <0.001 |
Active smoker | 16 (13.9) | 10 (26.3) | 8 (7) | 34 (12.7) | |
Former smoker | 1 (0.9) | 2 (5.3) | 2 (1.7) | 5 (1.9) | |
Substance of any type | 11 (9.6) | 4 (10.5) | 22 (19.1) | 37 (13.8) | |
Hospitalization in the last 90 days | |||||
Yes | 19 (16.5) | 12 (31.6) | 104 (90.4) | 135 (50.4) | <0.001 |
No | 96 (83.5) | 26 (68.4) | 11 (9.6) | 133 (49.6) | |
Table 3 presents the clinical and infection-related characteristics by bacterial infection type in SSTI cases. The duration of illness in the majority of patients was greater than 10 days (132, 49.3%), and most were hospitalized (136, 50.7%). Most SBI patients had a duration of illness of 5-10 days, and the majority were outpatients (32,84.2%) (p=0.100). Overall, Torso was the most affected site (145; 54.1%), and the majority of wounds were moderate in severity (139; 51.9%). Diabetes mellitus and other endocrinological disorders were seen in 88, 32.8% of total participants. Among the diabetes and endocrinological disturbances group, SSI were common (p<0.001). Although a significant number of patients had not used any antibiotic in the last 10 days (192, 71.6%), among those who had used antibiotics, the majority had used a beta-lactam (32, 11.6%). This finding was similar across PBI and SSI cohorts; However, in the SBI group, topical agents and macrolides/lincosamides were used more frequently (2, 5.3%) (p=0.020).
Table 3: Distribution of clinical and infection-related characteristics according to bacterial infection type.
Variables | Primary Bacterial Infections n (%) | Secondary Bacterial Infections n (%) | Surgical Site Infections n (%) | Total n (%) | p-value |
|---|---|---|---|---|---|
Duration of illness | |||||
<5 days | 13 (11.3) | 4 (10.5) | 11 (9.6) | 28 (10.4) | 0.100 |
Between 5-10 days | 57 (49.6) | 18 (47.4) | 33 (28.7) | 108 (40.3) | |
>10 days | 45 (39.1) | 16 (42.1) | 71 (61.7) | 132 (49.3) | |
Setting | |||||
Outpatient | 72 (62.6) | 32 (84.2) | 28 (24.3) | 132 (49.3) | <0.001 |
Inpatient | 43 (37.4) | 6 (15.8) | 87 (75.7) | 136 (50.7) | |
Site | |||||
Head and neck | 29 (25.2) | 4 (10.5) | 0 (0) | 33 (12.3) | <0.001 |
Torso | 40 (34.8) | 14 (36.8) | 91 (79.1) | 145 (54.1) | |
Upper extremities | 17 (14.8) | 8 (21.1) | 8 (7) | 33 (12.3) | |
Lower extremities | 28 (24.3) | 12 (31.6) | 16 (13.9) | 56 (20.9) | |
Groin | 1 (0.9) | 0 (0) | 0 (0) | 1 (0.4) | |
Severity | |||||
Mild | 19 (16.5) | 22 (57.9) | 73 (63.5) | 114 (42.5) | <0.001 |
Moderate | 81 (70.4) | 16 (42.1) | 42 (36.5) | 139 (51.9) | |
Severe | 15 (13) | 0 (0) | 0 (0) | 15 (5.6) | |
Comorbidity | |||||
Hypertensive vascular diseases | 33 (28.7) | 6 (15.8) | 13 (11.3) | 52 (19.4) | <0.001 |
Chronic inflammatory diseases | 18 (15.7) | 6 (15.8) | 5 (4.3) | 29 (10.8) | |
Diabetes mellitus and other endocrinological disorders | 19 (16.5) | 10 (26.3) | 59 (51.3) | 88 (32.8) | |
Chronic organ diseases | 14 (12.2) | 8 (21.1) | 4 (3.5) | 26 (9.7) | |
No comorbidity | 31 (27) | 8 (21.1) | 34 (29.6) | 73 (27.2) | |
Prior antibiotic use | |||||
Beta lactam | 11 (9.6) | 0 (0) | 20 (17.4) | 31 (11.6) | 0.020 |
Macrolides and Lincosamides | 4 (3.5) | 2 (5.3) | 15 (13) | 21 (7.8) | |
Tetracycline | 1 (0.9) | 0 (0) | 5 (4.3) | 6 (2.2) | |
Topical | 8 (7) | 2 (5.3) | 8 (7) | 18 (6.7) | |
No antibiotics | 91 (79.1) | 34 (89.5) | 67 (58.3) | 192 (71.6) | |
DISCUSSION
The current study describes various demographic and clinical features of bacterial skin and soft tissue infections. A significant number of patients were aged 40-60 years. This finding is supported by Sulaiman et al., who reported 47.8% of cases of bacterial skin infections among people aged 40 years or older [20]. SSTIs have shown a higher prevalence among females, consistent with a study from Saudi Arabia, which found that 78.8% of females were more likely to be affected [21]. In the present study, the observed sexual dimorphism can be attributed to multiple factors, including genetic predisposition, immune status, and social or behavioral characteristics of females.
The researchers observed that the current study did not show any relationship with increased body weight; however, in the patients with surgical site infections, overweight and obese individuals were identified. This contradicts the findings by Hu et al., who described a causal relationship between obesity and bacterial skin infections [22]. Among the SSI cohort, overweight and obese patients were noted, and this finding is in concordance with Gurunathan et al., who documented that overweight and obese patients carried at least 20% and 50% higher odds of developing MRSA-positive SSI compared to normal weight patients, respectively [23]. The analysis conducted showed active smokers were more likely to develop MRSA-positive PBIs, whereas substance abusers showed a higher frequency of SSIs. Smoking has been associated with bacterial skin infections due to vasoconstriction, impaired oxygen supply, causing carbon monoxide-induced hypoxia, impaired neutrophil function, and delayed collagen deposition; however, the correlation of substance abuse with MRSA skin infections is not well described in the literature [24].
In the present study, the Torso was most affected by MRSA-positive SSTIs across all types. A recent study has also documented that the negative predictive value (NPV) of MRSA positivity was higher for SSTIs occurring above the waist (71%) than for those below the waist (63%) [25]. MRSA commonly colonizes the anterior nares, oropharynx, and skin folds. From the nares and upper body, bacteria can easily spread to nearby skin and soft tissues [26]. Regarding the co-morbid illnesses, metabolic syndrome was highly prevalent among all sub-types of SSTIs. A previous study from the region reported a higher prevalence of MRSA positivity among patients with diabetes mellitus; however, the literature does not support the association between other endocrinological conditions and MRSA positivity [27]. The possible findings in our study may be linked to higher MRSA carriage rates among patients with uncontrolled diabetes mellitus in the local population. The synergistic effects of obesity, diabetes mellitus, and dyslipidemia can increase inflammation, impair skin barrier function, and alter the skin microbiome. This effect needs to be further evaluated by studies. Overall, among MRSA-positive SSTIs, prior use of β-lactam ring antibiotics (penicillins, cephalosporins, carbapenems, monobactams, and β-lactam inhibitor combinations) was common. There is no direct evidence that prior use of beta-lactam antibiotics increases the risk of MRSA-positive skin infections. Still, beta-lactam resistance is central to MRSA biology and treatment strategies. This may be linked to the suppression of susceptible flora and the selective survival of MRSA strains due to prolonged use of β-lactam antibiotics.
LIMITATIONS
The small sample size cannot justify the generalizability of the results. Due to limited resources, molecular profiling was not performed. Data on surgical antimicrobial prophylaxis were not adequately available and therefore not analyzed in detail.
CONCLUSION
MRSA is widely associated with SSTIs, and its manifestations vary across subtypes. The current study showed the higher prevalence of MRSA SSTIs in middle-aged, married, unemployed, urbanized patients with a female preponderance. In the majority of cases, a prolonged illness duration with a prior history of hospitalization was noted. In this context, new possible parameters are identified. The infection was moderate overall, but in primary cases, severe wounds were observed. PBIs were highly related to hypertensive vascular diseases, but collectively, endocrine disorders were seen in MRSA-positive cases.
ETHICAL APPROVAL
Ethical approval was obtained from the Institutional Review Board (IRB) of Jinnah Sindh Medical University, Karachi (REF letter No. JSMU/IRB/2023/827, Dated: 6 Apr, 2024). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and the Helsinki Declaration.
CONSENT FOR PUBLICATION
Written informed consent was taken from the participants.
AVAILABILITY OF DATA
The data set may be acquired from the corresponding author upon a reasonable request.
FUNDING
None.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
ACKNOWLEDGEMENTS
We want to thank Professor Dr. Bahram Khoso and the nursing staff at JPMC for facilitating data collection.
AUTHORS' CONTRIBUTION
FZ contributed to the study's conceptualization, data collection, data analysis, and manuscript writing. DMS assisted in manuscript writing, and data analysis and Shabana assisted in data collection, manuscript writing, and review. SP assisted in data collection, data analysis, and manuscript writing.
GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS
During the preparation of this work, the author(s) limitedly used ChatGPT (GPT-4, OpenAI) to get language suggestions and do minor proofreading in some parts of the manuscript. After using this tool/service, the author(s) reviewed and edited the content as needed and take full responsibility for the content of the published article.
REFERENCES
1. Jesudason T. WHO publishes updated list of bacterial priority. Lancet Microbe 2024; 5(9): 100940.
DOI: https://doi.org/10.1016/j.lanmic.2024.07.003 PMID: 39079540
2. Patel H, Rawat S. A genetic regulatory see-saw of biofilm and virulence in MRSA pathogenesis. Front Microbiol 2023: 14: 1204428.
DOI: https://doi.org/10.3389/fmicb.2023.1204428 PMID: 37434702
3. Linz MS, Mattappallil A, Finkel D, Parker D. Clinical impact of Staphylococcus aureus skin and soft tissue infections. Antibiotics (Basel) 2023; 12(3): 557.
DOI: https://doi.org/10.3390/antibiotics12030557 PMID: 36978425
4. Hatlen TJ, Miller LG. Staphylococcal skin and soft tissue infections. Infect Dis Clin N Am 2021; 35(1): 81-105.
DOI: https://doi.org/10.1016/j.idc.2020.10.003 PMID: 33303329
5. Del Giudice P. Skin Infections Caused by Staphylococcus aureus. Acta Derm Venereol 2020; 100(9): 5725.
DOI: https://doi.org/10.2340/00015555-3466 PMID: 32207539
6. Kurt C. Complicated and suppurative skin soft tissue infections: our four-year cases. Med Sci Int Med J 2023; 12(1): 46-51.
DOI: https://doi.org/10.5455/medscience.2022.11.238
7. Monk EJM, Jones TPW, Bongomin F, Kibone W, Nsubuga Y, Ssewante N, et al. Antimicrobial resistance in bacterial wound, skin, soft tissue and surgical site infections in Central, Eastern, Southern and Western Africa: A systematic review and meta-analysis. PLOS Glob Public Health 2024; 4(4): e0003077.
DOI: https://doi.org/10.1371/journal.pgph.0003077 PMID: 38626068
8. Yao Z, Wu Y, Xu H, Lei Y, Long W, Li M, et al. Prevalence and clinical characteristics of methicillin-resistant Staphylococcus aureus infections among dermatology inpatients: A 7-year retrospective study at a tertiary care center in southwest China.
DOI: https://doi.org/10.3389/fpubh.2023.1124930 PMID: 36998271
9. Alam MT, Read TD, Petit 3rd RA, Boyle-Vavra S, Miller LG, Eells SJ, et al. Transmission and microevolution of USA300 MRSA in the US. Households: Evidence from Whole-Genome Sequencing. mBio 2015; 6(2): e00054.
DOI: https://doi.org/10.1128/mbio.00054-15 PMID: 25759497
10. Planet PJ. Life After USA300: The rise and fall of a Superbug. J Infect Dis 2017; 215(suppl_1): S71-S77.
DOI: https://doi.org/10.1093/infdis/jiw444 PMID: 28375517
11. Idrees MM, Saeed K, Shahid MA, Akhtar M, Qammar K, Hassan J, et al. Prevalence of mecA-and mecC-associated methicillin-resistant Staphylococcus aureus in clinical specimens, Punjab, Pakistan. Biomedicines 2023; 11(3): 878.
DOI: https://doi.org/10.3390/biomedicines11030878
12. Nguyen CT, Baccile R, Brown AM, Lew AK, Pisano J, Pettit NN. When is vancomycin prophylaxis necessary? Risk factors for MRSA surgical site infection. Antimicrob Steward Healthc Epidemiol 2024; 4(1): e10.
DOI: https://doi.org/10.1017/ash.2024.7 PMID: 38415081
13. Gouleu CS, Daouda MA, Oye Bingono SO, McCall MBB, Alabi AS, Adegnika AA, et al. Temporal trends of skin and soft tissue infections caused by methicillin-resistant Staphylococcus aureus in Gabon. Antimicrob Resist Infect Control 2024; 13(1): 68.
DOI: https://doi.org/10.1186/s13756-024-01426-0 PMID: 38918863
14. Yehouenou CL, Kpangon AA, Affolabi D, Rodriguez-Villalobos H, Van Bambeke F, Dalleur O, et al. Antimicrobial resistance in hospitalized surgical patients: a silently emerging public health concern in Benin. Ann Clin Microbiol Antimicrob 2020; 19(1): 54.
DOI: https://doi.org/10.1186/s12941-020-00398-4 PMID: 33239061
15. Seidelman JL, Mantyh CR, Anderson DJ. Surgical site infection prevention: a review. JAMA 2023; 329(3): 244-52.
DOI: https://doi.org/10.1001/jama.2022.24075 PMID: 36648463
16. Habib A, Qadir A. Frequency and antibiotic susceptibility pattern of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) in uncomplicated skin and soft tissue infections. J Coll Physicians Surg Pak 2022; 32(11): 1398-403.
DOI: https://doi.org/10.29271/jcpsp.2022.11.1398 PMID: 36377004
17. Oxford University Hospitals NHS Foundation Trust. Microbiology: Sample collection. NHS 2025. Available at: https://www.ouh.nhs.uk/microbiology/diagnostic-tests/sample-collection/ [Accessed 26 Feb, 2025].
18. Centers for Disease Control and Prevention (CDC). Laboratory Testing for Methicillin (oxacillin) - resistant Staphylococcus aureus (MRSA). CDC 2025. Available from: https://www.cdc.gov/mrsa/php/laboratories/index.html [Accessed 30 July 2025].
19. Milheiriço C, Oliveira DC, de Lencastre H. Multiplex PCR strategy for subtyping the staphylococcal cassette chromosome mec type IV in methicillin-resistant Staphylococcus aureus: 'SCCmec IV multiplex'. J Antimicrob Chemother 2007; 60(1): 42-8.
DOI: https://doi.org/10.1093/jac/dkm112 PMID: 17468509
20. Sulaiman ER, Damayanti, Purwanto B, Widia Y. Profile of Skin Infections in Elderly Patients. Int J Res Pub; 140(1): 404-18.
DOI: https://doi.org/10.47119/IJRP1001401120245966
21. Said KB, Alshammari K, Ahmed RME, Alshammari F, Jadani AH, Rakha I, et al. MRSA profiles reveal age- and gender-specificity in a tertiary care hospital: high burden in ICU elderly and emerging community patterns in youth. Microorganisms 2025; 13(5): 1078.
DOI: https://doi.org/10.3390/microorganisms13051078 PMID: 40431251
22. Hu H, Mei J, Lin M, Wu X, Lin H, Chen G. The causal relationship between obesity and skin and soft tissue infections: A two-sample Mendelian randomization study. Front Endocrinol (Lausanne) 2022: 13: 996863.
DOI: https://doi.org/10.3389/fendo.2022.996863 PMID: 36568121
23. Gurunathan U, Ramsay S, Mitrić G, Way M, Wockner L, Myles P. Association between obesity and wound infection following colorectal surgery: systematic review and meta-analysis. J Gastrointest Surg 2017; 21(10): 1700-12.
DOI: https://doi.org/10.1007/s11605-017-3494-y PMID: 28785932
24. Jiang C, Chen Q, Xie M. Smoking increases the risk of infectious diseases: A narrative review. Tob Induc Dis 2020: 18: 60
DOI: https://doi.org/10.18332/tid/123845 PMID: 32765200
25. Greene W, Aslam S. P-2090. Using MRSA nares PCR to predict MRSA purulent skin and soft tissue infections. Open Forum Infect Dis 2025; 12(Supplement_1): ofae631.2246.
DOI: https://doi.org/10.1093/ofid/ofae631.2246 PMID: PMC11777065
26. Holt DC, Harris TM, Hughes JT, Lilliebridge R, Croker D, Graham S, et al. Longitudinal whole-genome based comparison of carriage and infection associated Staphylococcus aureus in northern Australian dialysis clinics. PLoS One; 16(2): e0245790
DOI: https://doi.org/10.1371/journal.pone.0245790 PMID: 33544742
27. Basharat Z, Lubna, Hussain M. Molecular detection of Staphylococcus aureus in skin and soft tissue infections among diabetic patients. INSIGHT-Int J Life Social Sci 2025; 3(8): 7-15.
DOI: https://doi.org/10.71000/8kva2h78