Risk Factors for Postoperative Osteomyelitis among Patients after Bone Fracture: A Matched Case-Control Study

The healthcare burden of osteomyelitis is increasing. Postoperative and posttraumatic osteomyelitis account for 80% of all cases of osteomyelitis. The aim of this study was to find risk factors for postoperative osteomyelitis in Kazakhstan. We included 245 patients admitted to the National Scientific Center of Traumatology and Orthopedics from 2018 to 2020. Cases were matched with controls in a 1:4 ratio. Exact matching was performed by gender, ICD-10, and ICD-9 codes. The main variables included socio-demographics, diagnosis at admission, characteristics of fractures, comorbidities, complications, hospitalization milestones, and osteomyelitis characteristics. Descriptive analyses, along with bivariate analysis and multivariate conditional logistic regression, were performed. Open fracture (adjOR = 6.25; 95%CI 1.64−23.79), the presence of complications of initial fracture (adjOR = 3.46, 95%CI 1.13−10.56), comminuted fracture form (adjOR = 1.87; 95%CI 0.73−4.75), a positive history of diabetes or blood glucose >7 g/L (adjOR = 4.25; 95%CI 1.26−14.3), incision or wound length of more than 10 cm (adjOR = 6.53; 95%CI 1.1−38.6), additional implanted medical item (adjOR = 1.23; 95% CI 1.1−1.47), and unemployment or being retired (adjOR = 4.21; 95%CI 1.74−10.18) were found to be significant predictors of postoperative osteomyelitis. Almost all our findings are concordant with previous studies, except for the type of fracture. Different authors report conflicting results on the latter potential risk factor. Therefore, prospective studies on this issue are required.

Salvage of Chronic Therapy-Resistant Bilateral Charcot Foot Osteoarthropathy with Signs of Osteomyelitis

Charcot arthropathy is an insidious condition affecting the lower limbs of diabetic patients. It is a complication of diabetic neuropathy resulting from subsequent Wallerian degeneration of the nerves. This complication may eventually lead to limb amputation and a poor patient prognosis if not diagnosed and treated successfully. Herein, we report the case of a 73‐year‐old female who presented with rapidly progressive bilateral Charcot foot over a 5‐week period, necessitating an exostectomy on the mid foot, specifically on the cuboid bone and the navicular cuneiform joint. Her presentation with rapidly progressing foot ulcers on the plantar aspect prompted initial treatment based on osteomyelitis. The report will therefore serve as a useful guide on how to properly treat Charcot foot, which may present in an atypical manner.

Higher Admission Frailty Scores Predict Increased Mortality, Morbidity, and Healthcare Utilization in the Elderly Burn Population

The Rockwood Clinical Frailty Scale is a validated rapid assessment of frailty phenotype and predictor of mortality in the geriatric population. Using data from a large tertiary care burn center, we assessed the association between admission frailty in an elderly burn population and inpatient outcomes. This was a retrospective analysis of burn patients ≥ 65 years from 2015-2019. Patients were assigned to frailty subgroups based on comprehensive medical, social work, and therapy assessments. Cox proportional hazards regression was used to estimate associations between admission frailty and 30-day inpatient mortality. Our study included 644 patients (low frailty: 262, moderate frailty: 345, and high frailty: 37). Frailty was associated with higher median TBSA and age at admission. The 30-day cumulative incidence of mortality was 2.3%, 7.0%, and 24.3% among the low, moderate, and high frailty strata, respectively. After adjustment for age, TBSA, and inhalation injury, high frailty was associated with increased 30-day mortality, compared to low (HR 5.73; 95% CI 1.86, 17.62). Moderate frailty also appeared to increase 30-day mortality, although estimates were imprecise (HR 2.19; 95% CI 0.87-5.50). High frailty was associated with increased morbidity and healthcare utilization, including need for intensive care stay (68% vs 37% and 21%, p<0.001) and rehab or care facility at discharge (41% vs 25% and 6%, p<0.001), compared to moderate and low frailty subgroups. Our findings emphasize the need to consider pre-injury physiological state and the increased risk of death and morbidity in the elderly burn population.

In Patients with Lower Extremity Burns and Osteomyelitis, Diabetes Mellitus Increases Amputation Rate

In this retrospective analysis, we investigated the rate of radiologically confirmed osteomyelitis, extremity amputation and healthcare utilization in both the diabetic and non-diabetic lower extremity burn populations to determine the impact of diabetes mellitus on these outcomes. The burn registry was used to identify all patients admitted to our tertiary burn center from 2014 to 2018. Only patients with lower extremity burns (foot and/or ankle) were included. Statistical analysis was performed using Student's t test, chi-squared test, and Fischer's exact test. Of the 315 patients identified, 103 had a known diagnosis of diabetes mellitus and 212 did not. Seventeen patients were found to have osteomyelitis within three months of the burn injury. Fifteen of these patients had a history of diabetes. Notably, when non-diabetics were diagnosed with osteomyelitis, significant differences were observed in both length of stay and cost in comparison to their counterparts without osteomyelitis (36 vs 9 days; p=0.0003; $226,289 vs $48,818, p=0.0001). Eleven patients required an amputation and 10 (90.9%) of these patients had comorbid diabetes and documented diabetic neuropathy. Compared to non-diabetics, the diabetic cohort demonstrated both a higher average length of stay (13.7 vs 9.2 days, p-value=0.0016) and hospitalization cost ($72,883 vs $50,500, p-value=0.0058). Our findings highlight that diabetic patients with lower extremity burns are more likely to develop osteomyelitis than their non-diabetic counterparts and when osteomyelitis is present, diabetic patients have an increased amputation rate. Further study is required to develop protocols to treat this population, with the specific goal of minimizing patient morbidity and optimizing healthcare utilization.