The role of smoking and body mass index in mortality risk assessment for geriatric hip fracture patients

Background Smoking, obesity, and being below a healthy body weight are known to increase all-cause mortality rates and are considered modifiable risk factors. The purpose of this study is to assess whether adding these risk factors to a validated geriatric inpatient mortality risk tool will improve the predictive capacity for hip fracture patients. We hypothesize that the predictive capacity of the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool will improve. Methodology Between October 2014 and August 2021, 2,421 patients \u3e55-years-old treated for hip fractures caused by low-energy mechanisms were analyzed for demographics, injury details, hospital quality measures, and mortality. Smoking status was recorded as a current every-day smoker, former smoker, or never smoker. Smokers (current and former) were compared to non-smokers (never smokers). Body mass index (BMI) was defined as underweight (\u3c18.5 kg/

Outcomes Following Open Reduction and Internal Fixation for Distal Humerus Fracture: Does Handedness Matter?

Introduction: No studies have assessed the relationship between extremity dominance and distal humerus fractures. This study sought to compare post-operative outcomes between patients with distal humerus fractures treated by open reduction and internal fixation (ORIF) of their non-dominant vs dominant arm. Methods: A retrospective review of patients who sustained a distal humerus fracture treated with ORIF at one hospital between 2011-2015 was performed. Data collection included demographics, hand dominance, injury information, and surgical management. Post-operative outcomes included complications, time to fracture union, painful hardware, removal of hardware, Mayo Elbow Performance Index (MEPI), and range of motion. Results: Of the 69 patients, 40 (58.0%) underwent ORIF of a distal humerus fracture on their non-dominant arm and 29 (42.0%) on their dominant arm. Groups did not differ with respect to demographics, injury information, or surgical management. Mean overall follow up was 14.1 ± 10.5 months with no difference in follow up or time to fracture union between groups. The non-dominant cohort experienced a higher proportion of post-operative complications (P = 0.048), painful hardware (P = 0.018), and removal of hardware (P = 0.002). At latest follow up, the non-dominant cohort had lower MEPI scores (86.4 vs 94.7, P = 0.037) but no difference in arc of motion (104.3° vs 112.5°, P = 0.314). Discussion: Patients who sustain a distal humerus fracture of their non-dominant arm treated surgically experience more post-operative complications and have worse functional recovery. Physicians should emphasize the importance of therapy and maintaining arm movement, especially with the non-dominant arm

level of patient education and proximal humerus fractures: a predictor and screening method

AbstractPurpose:To identify risk factors of functional outcome following proximal humerus open reduction and internal fixation.Methods: Patients treated for proximal humerus fractures with open reduction and internal fixation were enrolled in a prospective data registry. Patients were evaluated for function using the Disability of the Arm, Shoulder and Hand score for 12 months and as available beyond 12 months. Univariate analyses were conducted to identify variables associated with functional outcome. Significant variables were included in a multivariate regression predicting functional outcome.Results: Demographics and minimum of 12 month follow-up were available for 129 patients (75%). Multiple regression demonstrated postoperative complication (B=8.515 p=0.045), education level (B=-6.269,p<0.0005), age (B=0.241,p=0.049) and Charlson Comorbidity Index (B=6.578, p=0.001) were all significant predictors of functional outcome.Conclusion:Orthopaedic surgeons can use education level, comorbidities, age, and postoperative complication information to screen patients for worse outcomes, establish expectations, and guide care

Predicting Discharge Location among Low-Energy Hip Fracture Patients Using the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA)

Patterns of discharge location may be evident based on the “sickness” profile of the patient. This study sought to evaluate the ability of the STTGMA tool, a validated mortality risk index for middle-aged and geriatric trauma patients, to predict discharge location in a cohort of low-energy elderly hip fracture patients, with successful discharge planning measured by readmission rates. Low-energy hip fracture patients aged 55 years and older were prospectively followed throughout their hospitalization. On initial evaluation in the Emergency Department, each patient’s age, comorbidities, injury severity, and functional status were utilized to calculate a STTGMA score. Discharge location was recorded with the primary outcome measure of an unsuccessful discharge being readmission within 30 days. Patients were risk stratified into minimal-, low-, moderate-, and high-risk STTGMA cohorts. A p-value of <0.05 was considered significant for all statistical tests. 408 low-energy hip fractures were enrolled in the study with a mean age of 81.3±10.6 years. There were 214 (52.5%) intertrochanteric fractures, 167 (40.9%) femoral neck fractures, and 27 (6.6%) subtrochanteric femur fractures. There was no difference in readmission rates within STTGMA risk cohorts with respect to discharge location; however, among individual discharge locations there was significant variation in readmission rates when patients were risk stratified. Overall, STTGMA risk cohorts appeared to adequately risk-stratify readmission with 3.5% of minimal-risk patients experiencing readmission compared to 24.5% of moderate-risk patients. Specific cohorts deemed high-risk for readmission were adequately identified. The STTGMA tool allows for prediction of unfavorable discharge location in hip fracture patients. Based on observations made via the STTGMA tool, improvements in discharge planning can be undertaken to increase home discharge and to more closely track “high-risk” discharges to help prevent readmissions

The Coming Hip and Femur Fracture Bundle: A New Inpatient Risk Stratification Tool for Care Providers

Introduction: In response to increasing health-care costs, Centers for Medicare & Medicaid Services has initiated several programs to transition from a fee-for-service model to a value-based care model. One such voluntary program is Bundled Payments for Care Improvement Advanced (BPCI Advanced) which includes all hip and femur fractures that undergo operative fixation. The purpose of this study was to analyze the current cost and resource utilization of operatively fixed (nonarthroplasty) hip and femur fracture procedure bundle patients at a single level 1 trauma center within the framework of a risk stratification tool (Score for Trauma Triage in the Geriatric and Middle-Aged [STTGMA]) to identify areas of high utilization before our hospitals transition to bundle period. Materials and Methods: A cohort of Medicare-eligible patients discharged with the Diagnosis-Related Group (DRG) codes 480 to 482 (hip and femur fractures requiring surgical fixation) from a level 1 trauma center between October 2014 and September 2016 was evaluated and assigned a trauma triage risk score (STTGMA score). Patients were stratified into groups based on these scores to create a minimal-, low-, moderate-, and high-risk cohort. Length of stay (LOS), discharge location, need for Intensive Care Unit (ICU)/Step Down Unit (SDU) care, inpatient complications, readmission within 90 days, and inpatient admission costs were recorded. Results: One hundred seventy-three patients with a mean age of 81.5 (10.1) years met inclusion criteria. The mean LOS was 8.0 (4.2) days, with high-risk patients having 4 days greater LOS than lower risk patients. The mean number of total complications was 0.9 (0.8) with a significant difference between risk groups ( P = .029). The mean total cost of admission for the entire cohort of patients was US$25,446 (US$9725), with a nearly US$9000 greater cost for high-risk patients compared to the low-risk patients. High-cost areas of care included room/board, procedure, and radiology. Discussion: High-risk patients were more likely to have longer and more costly admissions with average index admission costs nearly US$9000 more than the lower risk patient cohorts. These high-risk patients were also more likely to develop inpatient complications and require higher levels of care. Conclusion: This analysis of a 2-year cohort of patients who would qualify for the BPCI Advanced hip and femur procedure bundle demonstrates that the STTGMA tool can be used to identify high-risk patients who fall outside the bundle

Systemic glucose-insulin-potassium reduces skeletal muscle injury, kidney injury, and pain in a murine ischaemia-reperfusion model

Aims: Glucose-insulin-potassium (GIK) is protective following cardiac myocyte ischaemia-reperfusion (IR) injury, however the role of GIK in protecting skeletal muscle from IR injury has not been evaluated. Given the similar mechanisms by which cardiac and skeletal muscle sustain an IR injury, we hypothesized that GIK would similarly protect skeletal muscle viability. Methods: A total of 20 C57BL/6 male mice (10 control, 10 GIK) sustained a hindlimb IR injury using a 2.5-hour rubber band tourniquet. Immediately prior to tourniquet placement, a subcutaneous osmotic pump was placed which infused control mice with saline (0.9% sodium chloride) and treated mice with GIK (40% glucose, 50 U/l insulin, 80 mEq/L KCl, pH 4.5) at a rate of 16 µl/hr for 26.5 hours. At 24 hours following tourniquet removal, bilateral (tourniqueted and non-tourniqueted) gastrocnemius muscles were triphenyltetrazolium chloride (TTC)-stained to quantify percentage muscle viability. Bilateral peroneal muscles were used for gene expression analysis, serum creatinine and creatine kinase activity were measured, and a validated murine ethogram was used to quantify pain before euthanasia. Results: GIK treatment resulted in a significant protection of skeletal muscle with increased viability (GIK 22.07% (SD 15.48%)) compared to saline control (control 3.14% (SD 3.29%)) (p = 0.005). Additionally, GIK led to a statistically significant reduction in gene expression markers of cell death (CASP3, p < 0.001) and inflammation (NOS2, p < 0.001; IGF1, p = 0.007; IL-1β, p = 0.002; TNFα, p = 0.012), and a significant reduction in serum creatine kinase (p = 0.004) and creatinine (p < 0.001). GIK led to a significant reduction in IR-related pain (p = 0.030). Conclusion: Systemic GIK infusion during and after limb ischaemia protects murine skeletal muscle from cell death, kidneys from reperfusion metabolites, and reduces pain by reducing post-ischaemic inflammation. Cite this article: Bone Joint Res 2023;12(3):212–218

Nonunion of conservatively treated humeral shaft fractures is not associated with anatomic location and fracture pattern

INTRODUCTION: Humeral shaft fractures make up 1-3% of all fractures and are most often treated nonoperatively; rates of union have been suggested to be greater than 85%. It has been postulated that proximal third fractures are more susceptible to nonunion development; however, current evidence is conflicting and presented in small cohorts. It is our hypothesis that anatomic site of fracture and fracture pattern are not associated with development of nonunion. MATERIALS AND METHODS: In a retrospective cohort study, 147 consecutive patients treated nonoperatively for a humeral shaft fracture were assessed for development of nonunion during their treatment course. Their charts were reviewed for demographic and radiographic parameters such as age, sex, current tobacco use, diabetic comorbidity, fracture location, fracture pattern, AO/OTA classification, and need for intervention for nonunion. RESULTS: One hundred and forty-seven patients with 147 nonoperatively treated humeral shaft fractures were eligible for this study and included: 39 distal, 65 middle, and 43 proximal third fractures. One hundred and twenty-six patients healed their fractures by a mean 16 ± 6.4 weeks. Of the 21 patients who developed a nonunion, two were of the distal third, 10 of the middle third, and nine were of the proximal third. In a binomial logistic regression analysis, there were no differences in age, sex, tobacco use, diabetic comorbidity, fracture pattern, anatomic location, and OTA fracture classification between patients in the union and nonunion cohorts. CONCLUSIONS: Fracture pattern and anatomic location of nonoperatively treated humeral shaft fractures were not related to development of fracture nonunion

Admitting Service Affects Cost and Length of Stay of Hip Fracture Patients

Introduction: The purpose of this study was to analyze the effect of the admitting service on cost of care for hip fracture patients by comparing the cost difference between patients admitted to the medicine service versus those admitted to a surgical service. Methods: A 2-year cohort of patients 55 years or older who were admitted to a single level 1 trauma center with an operative hip fracture were included. Patient demographics, comorbidities, admitting service, complications, and hospital length of stay were recorded for each patient. Cost of hospitalization, discharge disposition, and 30-day readmissions were collected. Patients who were admitted to the medicine service (medicine cohort) were compared to those admitted to a surgery service (surgery cohort). Multivariate regression models controlling for age, Charlson comorbidity index (CCI), and American Society of Anesthesiology (ASA) scores were used to evaluate hospitalization costs with a P value of <.05 as significant. Results: Two hundred twenty-five hip fracture patients were included; 143 (63.6%) patients were admitted to a surgical service, while 82 (36.4%) were admitted to the medicine service. Patients admitted to medicine service had greater CCI and ASA scores, longer lengths of stay, and more complications than those patients admitted to surgery service. Linear regression model controlling for age, CCI, ASA score, and time to surgery demonstrates that patients admitted to a surgical service will have 2.0-day (95% confidence interval [CI]: 0.561-3.503; P = .007) shorter admissions with a US$4215 reduction in cost (95$314-US$8116; P = .034) compared to patients admitted to the medicine service. Discussions: In our urban safety net hospital, hip fracture patients admitted to medicine service had longer lengths of stay and higher total hospitalization costs than patients who were admitted to surgery service. Conclusions: This study highlights that the admitting service should be an area of focus for hospitals when developing programs to provide effective and cost-conscious care to hip fracture patients

Does Use of Oral Anticoagulants at the Time of Admission Affect Outcomes Following Hip Fracture

Purpose: The purpose of this study was to compare hospital quality outcomes in patients over the age of 60 undergoing fixation of hip fracture based on their anticoagulation status. Materials and Methods: Patients aged 60 and older with isolated hip fracture injuries treated operatively at 1 academic medical center between October 2014 and September 2016 were analyzed. Patients on the following medications were included in the anticoagulation cohort: warfarin, clopidogrel, aspirin 325 mg, rivaroxaban, apixaban, dabigatran, and dipyridamole/aspirin. We compared outcome measures including time to surgery, length of stay (LOS), transfusion rate, blood loss, procedure time, complication rate, need for intensive care unit (ICU)/step-down unit (SDU) care, discharge disposition, and cost of admission. Outcomes were controlled for age, Charlson comorbidity index (CCI), and anesthesia type. Results: A total of 479 hip fracture patients met the inclusion criteria, with 367 (76.6%) patients in the nonanticoagulated cohort and 112 (23.4%) patients in the anticoagulated cohort. The mean LOS and time to surgery were longer in the anticoagulated cohort (8.3 vs 7.3 days, P = .033 and 1.9 vs 1.6 days, P = .010); however, after controlling for age, CCI, and anesthesia type, these differences were no longer significant. Surgical outcomes were equivalent with similar procedure times, blood loss, and need for transfusion. The mean number of complications developed and inpatient mortality rate in the 2 cohorts were similar; however, more patients in the anticoagulated cohort required ICU/SDU-level care (odds ratio = 2.364, P = .001, controlled for age, CCI, and anesthesia). There was increased utilization of post-acute care in the anticoagulated cohort, with only 10.7% of patients discharged home compared to 19.9% of the nonanticoagulated group ( P = .026). Lastly, there was no difference in cost of care. Conclusion: This study highlights that anticoagulation status alone does not independently put patients at increased risk with respect to LOS, surgical outcomes, and cost of hospitalization