Bacteriological profile of community‐acquired musculoskeletal infections: a study from Queensland

Matthews, J.; Bamal, Rahul; McLean, Andrew; Bindra, Ranjna

doi:10.1111/ans.14825

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Some authors have suggested that these numbers for primary total joint arthroplasty are both underestimated and increasing [10]. Gram-positive pathogens are thought to cause most PJIs, with staphylococci topping the list [11]. Indeed, the prevalence of methicillin-resistant S. aureus (MRSA) and S. epidermidis (MRSE) is increasing [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Gallo

Nieslanikova

2020

JCM

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A projected increased use of total joint arthroplasties will naturally result in a related increase in the number of prosthetic joint infections (PJIs). Suppression of the local peri-implant immune response counters efforts to eradicate bacteria, allowing the formation of biofilms and compromising preventive measures taken in the operating room. For these reasons, the prevention of PJI should focus concurrently on the following targets: (i) identifying at-risk patients; (ii) reducing “bacterial load” perioperatively; (iii) creating an antibacterial/antibiofilm environment at the site of surgery; and (iv) stimulating the local immune response. Despite considerable recent progress made in experimental and clinical research, a large discrepancy persists between proposed and clinically implemented preventative strategies. The ultimate anti-infective strategy lies in an optimal combination of all preventative approaches into a single “clinical pack”, applied rigorously in all settings involving prosthetic joint implantation. In addition, “anti-infective” implants might be a choice in patients who have an increased risk for PJI. However, further progress in the prevention of PJI is not imaginable without a close commitment to using quality improvement tools in combination with continual data mining, reflecting the efficacy of the preventative strategy in a particular clinical setting.

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Section: Introductionmentioning

confidence: 99%

Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Gallo

Nieslanikova

2020

JCM

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“…Nineteen (10%) children were readmitted for surgery, whereas the rest had some form of sequelae in the follow-up period. Sequelae were more common if range of motion (ROM) was affected at onset (86 versus 63%; P # 0.05) or if WBC count was higher at admission (median [IQR]: 14,850 [10,,277] versus 13,410 [10,100-17,600]; P 5 0.012). The proportion of children with sequelae was greater with increasing age (n [%]: , 1 year: 22 [37]; 1-5 years: 18 (39); .…”

Section: Weeks)mentioning

confidence: 99%

Clinical Spectrum and Microbial Etiology of Bone and Joint Infections in Children: A Retrospective Analysis from South India

Jaybhaye

Verghese

et al. 2023

The American Journal of Tropical Medicine and Hygiene

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Acute infections of bone and joints are medical emergencies. Early diagnosis and treatment are essential for limb salvage and prevention of deformities. Data from developing countries are essential to develop region-specific treatment guidelines including choice of empiric antibiotics. We reviewed electronic medical records of children (≤ 12 years old) admitted to the pediatrics or orthopedics department of a tertiary care hospital in South India from 2013 to 2017 with a diagnosis of septic arthritis and/or osteomyelitis. Clinical, microbiological, and follow-up data were collected and analyzed. The median (interquartile range, IQR) age of the children (N = 207) was 48 (7.5–105) months. Acute infections were more common in infants, whereas chronic cases were common in children > 5 years of age. Staphylococcus aureus (71%) was the most common organism identified. Gram-negative organisms were more frequently isolated in infants compared with older children. Blood and/or wound culture positivity was 78% (N = 161) overall and 78% (N = 31) in chronic cases. The median (IQR) duration of antibiotics was 7 (5–8) weeks. Sequelae and readmissions occurred in 47% (N = 81) of the 172 patients followed for a year. Culture positivity rates especially of wound were high even after receiving antibiotics.

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“…[4][5][6][7][8] The worldwide incidence of SA is reportedly rising due to a combination of increased longevity, multi-comorbidity, iatrogenic complications and increasing use of immunomodulating therapies for chronic arthritis and other conditions over the last 25 years. [9][10][11][12] Based on the above, and the limited availability of comprehensive Australian data, 13,14 we investigated the frequency, underlying clinical characteristics and outcomes of incident SA of native joints in Western Australia (WA) for patients admitted to hospital for SA from 1990-2010, with follow-up extending to 2015.…”

Section: Introductionmentioning

confidence: 99%

Non‐gonococcal septic arthritis of native joints in Western Australia. A longitudinal population‐based study of frequency, risk factors and outcome

et al. 2021

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Objective: To describe the incidence and long-term outcome of non-gonococcal septic arthritis (SA) in Western Australia (WA).Methods: Newman criteria were applied to define culture-positive SA and suspected SA cases in the state-wide West Australian Rheumatic Diseases Epidemiological Registry with longitudinally linked health data for patients >16 years with a first diagnostic code of pyogenic arthritis (711.xx [ICD-9-CM] and M00.xx [ICD-10-AM]) between 1990-2010. Annual incidence rates/100 000 (AIR) and standardized (against WA population) mortality rates/1000 person-years (SMR) and outcomes during 10.1 years follow-up are reported.Results: Among 2633 SA patients (68.6% male, age 47.4 years), 1146 (43.5%) had culture-positive SA. The overall AIR for culture-positive (1.6-6.3) and total SA cases (4.3-12.9) increased between 1990 and 2010 as did age at onset (39.5-54 years) and proportion of females (23-35.6%). Knees (33.6.%) were most frequently affected and 37.1% of cultures showed microorganisms other than Gram-positive cocci. Thirty-day rates for readmission and mortality were 25.4% and 3.2.%. During follow-up rates for serious infections (56.4%), osteoarthrosis (5.2%) and osteomyelitis (2.7%) were higher in culture-positive SA. SMR was increased for all SA patients but especially in those 17-40 years of age with culture-positive SA (24.2; 95% CI 2.3-261). Conclusions:The incidence of SA in WA has risen steeply over 20 years. SA now occurs at higher age, affects females more often with over a third of cases caused by Gram-negative microorganisms. Not only culture-positive, but also suspected SA led to increased bone/joint complications, in-hospital and late mortality.

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Bacteriological profile of community‐acquired musculoskeletal infections: a study from Queensland

Cited by 4 publications

References 20 publications

Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Clinical Spectrum and Microbial Etiology of Bone and Joint Infections in Children: A Retrospective Analysis from South India

Non‐gonococcal septic arthritis of native joints in Western Australia. A longitudinal population‐based study of frequency, risk factors and outcome

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