Effective Risk Assessment for Distal Radius Fractures: A Rigorous Multivariable Regression Analysis, Using a Novel 8-Item Modified Frailty Index.

Introduction Distal radius fractures (DRFs) are among the most common orthopaedic injuries. The prevalence of DRFs is increasing across all age groups but remains the second most common fracture in the elderly. The modified frailty index (MFI) often predicts morbidity and mortality in orthopaedic injuries. This study aims to determine the predictive value of MFI on complication rates following DRF and the patient length of stay and discharge outcomes. Methods We utilized our MFI to perform a retrospective analysis of the American College of Surgeons National Surgical Quality Improvement Program database. Results In a total of 22,313 patients, the average age was 46 ± 16. An increase in MFI led to an increase in the odds ratio of readmission and reoperation ( p < 0.001). MFI predicted complications, doubling the rate as the score increased from 1 to 2 ( p < 0.001). An MFI of 2 also led to a delayed hospital stay of 5 days ( p < 0.001), as well as an increase in the odds of patients not being sent home at discharge ( p < 0.001). Finally, life-threatening complications were also predicted with an increased MFI, the odds of a life-threatening complication increasing 488.20 times at an MFI of 3 ( p < 0.001). Discussion and Conclusion While surgical decision-making for frail patients with DRFs remains contentious, this novel 8-item MFI score was significantly associated with the probability of hospital readmission/reoperation, postoperative complications, and delayed hospital length of stay. Three new parameters were incorporated into our 8-item score compared with the conventional 5; hypoalbuminemia status (< 3.5 mg/dL), previous diagnosis of osteoporosis, and severe obesity (body mass index > 35) enhancing its sensitivity. Future studies are warranted for its prospective utility in ruling out postsurgical comorbidity.

The Impact of Cardiac Arrhythmias on Total Knee Arthroplasty Outcomes.

BACKGROUND: Cardiac comorbidities are common in patients undergoing total knee arthroplasty (TKA). While there is an abundance of research showing an association between cardiac abnormalities and poor postoperative outcomes, relatively little is published on specific pathologies. The aim of this study was to assess the impact of cardiac arrhythmias on postoperative outcomes in the setting of TKA. METHODS: This retrospective cohort study included all patients undergoing TKA from a national database, from 2016 to 2019. Patients who had cardiac arrhythmias were identified via International Classification of Diseases, Tenth Revision, and Clinical Modification/Procedure Coding System codes and served as the cohort of interest. Multivariate regression was performed to compare postoperative outcomes. Gamma regression was performed to assess length of stay and total charges, while negative binomial regression was used to assess 30-day readmission and reoperation. Patient demographic variables and comorbidities, measured via the Elixhauser comorbidity index, were controlled in our regression analysis. Out of a total of 1,906,670 patients, 224,434 (11.76%) had a diagnosed arrhythmia and were included in our analyses. RESULTS: Those who had arrhythmias had greater odds of both medical (odds ratio [OR] 1.52; P < .001) and surgical complications (OR 2.27; P < .001). They also had greater readmission (OR 2.49; P < .001) and reoperation (OR 1.93; P < .001) within 30 days, longer hospital stays (OR 1.07; P < .001), and greater total charges (OR 1.02; P < .001). CONCLUSIONS: Cardiac arrhythmia is a common comorbidity in the TKA population and is associated with worse postoperative outcomes. Patients who had arrhythmias had greater odds of both medical and surgical complications requiring readmission or reoperation. STUDY DESIGN: Level III; Retrospective Cohort Study.

Rates and Characteristics of Patients Leaving against Medical Advice after Spine Surgery.

Introduction: Leaving against medical advice (AMA) has been associated with higher rates of readmission and worse postoperative outcomes in various surgical fields. Patients who have undergone spine surgery often require careful postoperative follow-up to ensure an uncomplicated recovery. In this study, we aim to investigate the demographic and hospital variables that may have contributed to patients leaving the hospital AMA following spine surgery. Methods: We performed a retrospective analysis of patients receiving spine surgery; we used the data from the Healthcare Cost and Utilization Project (HCUP) database for the years 2011-2020. Demographics, household income status, insurance status, time from admission to operation, length of stay, length of recovery, and discharge disposition were collected and analyzed. Multivariate linear regression was used to determine the odds ratios of each factor and their association to patient decision of leaving AMA. Results: As per our findings, patients aged 30-49 had 1.666 times greater odds of leaving AMA following spine surgery (P<0.001), patients aged 50-64 had 1.222 times greater odds of leaving AMA (P=0.001), and patients older than 65 had 0.490 times lesser odds of leaving AMA (P<0.001). Additionally, black patients were 1.612 times more likely to leave AMA (P<0.001), whereas white patients were 0.675 times less likely to do so (<0.001). Women were 0.555 times less likely to leave AMA than the rest of the population (P<0.001). Moreover, patients with private insurance were 0.268 times less likely to leave AMA (P<0.001), while patients on Medicare and Medicaid were 1.692 times (P<0.001) and 3.958 times more likely to leave AMA (P<0.001) following spine surgery, respectively. Finally, patients in the lowest quartile of income were 1.691 times more likely to leave AMA (P<0.001), while patients in the higher quartile of income were 0.521 times less likely to do so (P<0.001). Conclusions: It is critical that spine surgeons are aware of the factors that predispose patients to leave AMA in order to mitigate postoperative complications.

Comparing Common Risk Assessment Tools to Predict Outcomes in Total Knee Arthroplasty.

BACKGROUND: A number of tools exist to aid surgeons in risk assessment, including the Charlson Comorbidity Index (CCI), the Elixhauser Comorbidity Index (ECI), and various measures of frailty, such as the Hospital Frailty Risk Score (HFR). While all of these tools have been validated for general use, the best risk assessment tool is still debated. Risk assessment is particularly important in elective surgery, such as total joint arthroplasty. The aim of this study is to compare the predictive power of the CCI, ECI, and HFR in the setting of total knee arthroplasty (TKA). METHODS: All patients who underwent TKA were identified via International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code from the National Readmissions Database, years 2016 to 2019. Patient demographics, perioperative complications, and hospital-associated outcomes were recorded. Receiver operating characteristic (ROC) curves were created and area under the curves (AUCs) evaluated to gauge the predictive capabilities of each risk assessment tool (CCI, ECI, and HFR) across a range of outcomes. RESULTS: A total of 1,930,803 patients undergoing TKA were included in our analysis. For mortality, ECI was most predictive (0.95 AUC), while HFR and CCI were 0.75 and 0.74 AUC, respectively. For periprosthetic fractures, ECI was 0.78 AUC, HFR was 0.68 AUC, and CCI was 0.66 AUC. For joint infections, the ECI was 0.78 AUC, the HFR was 0.63 AUC, and the CCI was 0.62 AUC. For 30-day readmission, ECI was 0.79 AUC, while HFR and CCI were 0.6 AUC. For 30-day reoperation, ECI was 0.69 AUC, while HFR was 0.58 AUC and CCI was 0.56 AUC. CONCLUSIONS: Our analysis shows that ECI is superior to CCI and HFR for predicting 30-day postoperative outcomes following TKA. Surgeons should consider assessing patients using ECI prior to TKA.

A modified frailty index predicts complication, readmission, and 30-day mortality following the revision total hip arthroplasty.

INTRODUCTION: This study aimed to develop a modified frailty index (MFI) to predict the risks of revision total hip arthroplasty (THA). METHODS: Data from the American College of Surgeons - National Surgical Quality Improvement Program were analyzed for patients who underwent revision THA from 2015 to 2020. An MFI was composed of the risk factors, including severe obesity (body mass index > 35), osteoporosis, non-independent function status prior to surgery, congestive heart failure within 30 days of surgery, hypoalbuminemia (serum albumin < 3.5), hypertension requiring medication, type 1 or type 2 diabetes, and a history of chronic obstructive pulmonary disease or pneumonia. The patients were assigned based on the MFI scores (MFI0, no risk factor; MFI1, 1-2 risk factors; MFI2, 3-4 risk factors; and MFI3, 5+ risk factors). Confidence intervals were set at 95% with a P value less than or equal to 0.05 considered statistically significant. RESULTS: A total of 17,868 patients (45% male, 55% female) were included and had an average age of 68.5 ± 11.5 years. Odds of any complication, when compared to MFI0, were 1.4 (95% CI [1.3, 1.6]) times greater for MFI1, 3.2 (95% CI [2.8, 3.6]) times greater for MFI2, and 10.8 (95% CI [5.8, 20.0]) times greater for MFI3 (P < 0.001). Odds of readmission, when compared to MFI0, were 1.4 (95% CI [1.3, 1.7]) times greater for MFI1, 2.5 (95% CI [2.1, 3.0]) times greater for MFI2, and 4.1 (95% CI [2.2, 7.8]) times greater for MFI3 (P < 0.001). CONCLUSION: Increasing MFI scores correlate with increased odds of complication and readmission in patients who have undergone revision THA. This MFI may be used to predict the risks after revision THA.

A component-based analysis of metabolic syndrome's impact on 30-day outcomes after hip fracture: reduced mortality in obese patients.

Introduction: Hip fractures are a common injury associated with significant morbidity and mortality. In the United States, there has been a rapid increase in the prevalence of metabolic syndrome (MetS), a condition comprised several common comorbidities, including obesity, diabetes mellitus, and hypertension, that may worsen perioperative outcomes. This article assesses the impact of MetS and its components on outcomes after hip fracture surgery. Methods: Patients who underwent nonelective operative treatment for traumatic hip fractures were identified in the 2015-2020 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Baseline characteristics between groups were compared, and significant differences were included as covariates. Multivariate regression was performed to assess the impact of characteristics of interest on postoperative outcomes. Patients with MetS, or a single one of its constitutive components-hypertension, diabetes, and obesity-were compared with metabolically healthy cohorts. Results: In total 95,338 patients were included. Patients with MetS had increased complications (OR 1.509; P < 0.001), but reduced mortality (OR 0.71; P < 0.001). Obesity alone was also associated with increased complications (OR 1.14; P < 0.001) and reduced mortality (OR 0.736; P < 0.001). Both hypertension and diabetes alone increased complications (P < 0.001) but had no impact on mortality. Patients with MetS did, however, have greater odds of adverse discharge (OR 1.516; P < 0.001), extended hospital stays (OR 1.18; P < 0.001), and reoperation (OR 1.297; P = 0.003), but no significant difference in readmission rate. Conclusion: Patients with MetS had increased complications but decreased mortality. Our component-based analysis showed had obesity had a similar effect: increased complications but lower mortality. These results may help surgeons preoperatively counsel patients with hip fracture about their postoperative risks.

The Effect of Obesity on Distal Radius Fractures: An Analysis from the NSQIP Database.

The rate and severity of obesity has risen over the past 40 years, and class III (formerly morbid) obesity presents additional sequelae. The effect of obesity on the incidence and recovery of hand and wrist fractures remains unclear. We sought to quantify the relationship between class III obesity and postoperative distal radius fracture (DRF) complications. Methods: We performed a retrospective analysis of the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database for surgical DRF patients more than 50 years old from 2015 to 2020. We then stratified patients into class III obese (BMI > 40) and compared the rates of postoperative complications to a control group with BMI less than 40. Results: We included 10,022 patients (570 class III obese vs. 9,452 not class III obese). Patients with class III obesity had significantly increased odds of experiencing any complication (OR 1.906, p<0.001), adverse discharge (OR 2.618, p<0.001), delayed hospital stay of longer than three days (OR 1.91, p<0.001), and longer than seven days (OR 2.943, p<0.001) than controls. They also had increased odds of unplanned reoperation (OR 2.138, p = 0.026) and readmission (OR 2.814, p < 0.001) than non-class III obese patients. Class III obese patients had a significantly longer average operation time (79.5 min vs. 72.2 min, p < 0.001). They also spent more time in the hospital postoperatively (0.86 days vs. 0.57 days, p = 0.001). Conclusion: Class III obese patients undergoing DRF repair are more likely to experience postoperative complications than non-class III obese patients.

The Impact of Metabolic Syndrome and Obesity on Perioperative Total Joint Arthroplasty Outcomes: The Obesity Paradox and Risk Assessment in Total Joint Arthroplasty.

Background: The relationship between elevated body mass index (BMI) and adverse outcomes in joint arthroplasty is well established in the literature. This paper aims to challenge the conventional thought of excluding patients from a total knee or hip replacement based on BMI alone. Instead, we propose using the metabolic syndrome (MetS) and its defining components to better identify patients at high risk for intraoperative and postoperative complications. Methods: Patients who underwent primary, elective total knee and total hip arthroplasty were identified in the 2015-2020 American College of Surgeons National Surgical Quality Improvement Program database. Several defining components of MetS, such as hypertension, diabetes, and obesity, were compared to a metabolically healthy cohort. Postoperative outcomes assessed included mortality, length of hospital stay, 30-day surgical and medical complications, and discharge. Results: The outcomes of 529,737 patients from the American College of Surgeons National Surgical Quality Improvement Program who underwent total knee and total hip arthroplasty were assessed. MetS is associated with increased complications and increased mortality. Both hypertension and diabetes are associated with increased complications but have no impact on mortality. Interestingly, while obesity was associated with increased complications, there was a significant decrease in mortality. Conclusions: Our results show that the impact of MetS is more than the sum of its constitutive parts. Additionally, obese patients experience a protective effect, with lower mortality than their nonobese counterparts. This study supports moving away from strict BMI cutoffs alone for someone to be eligible for an arthroplasty surgery and offers more granular data for risk stratification and patient selection.

Impact of COVID-19 on Elective Orthopaedic Surgery Outcomes During the Peak of the Pandemic, an Uptick of Complications: An Analysis of the ACS-NSQIP.

INTRODUCTION: Since the World Health Organization declared a pandemic in March 2020, COVID-19 has pressured the healthcare system. Elective orthopaedic procedures for American seniors were canceled, delayed, or altered because of lockdown restrictions and public health mandates. We sought to identify differences in the complication rates for elective orthopaedic surgeries before and atfter the pandemic onset. We hypothesized that complications increased in the elderly during the pandemic. METHODS: We conducted a retrospective analysis of the American College of Surgeons-National Surgical Quality Improvement Program database in patients older than 65 years undergoing elective orthopaedic procedures from 2019 (prepandemic) and April to December 2020 (during the pandemic). We recorded readmission rates, revision surgery, and 30-day postoperative complications. In addition, we compared the two groups and adjusted for baseline features with standard multivariate regression. RESULTS: We included 146,430 elective orthopaedic procedures in patients older than 65 years (94,289 before the pandemic and 52,141 during). Patients during the pandemic had a 5.787 times greater chance of having delayed wait time to the operating room (P < 0.001), a 1.204 times greater likelihood of readmission (P < 0.001), and a 1.761 times increased chance of delayed hospital stay longer than 5 days (P < 0.001) when compared with prepandemic. In addition, during the pandemic, patients were 1.454 times more likely to experience any complication (P < 0.001) when compared with patients prepandemic undergoing orthopaedic procedures. Similarly, patients were also 1.439 times more likely to have wound complication (P < 0.001), 1.759 times more likely to have any pulmonary complication (P < 0.001), 1.511 times more likely to have any cardiac complication (P < 0.001), and 1.949 times more likely to have any renal complication (P < 0.001). CONCLUSION: During the COVID-19 pandemic, elderly patients faced longer wait times within the hospital and increased odds of complications after elective orthopaedic procedures than similar patients before the pandemic.

Granulocyte colony-stimulating factor (G-CSF) promotes spermatogenic regeneration from surviving spermatogonia after high-dose alkylating chemotherapy.

BACKGROUND: The lifesaving chemotherapy and radiation treatments that allow patients to survive cancer can also result in a lifetime of side-effects, including male infertility. Infertility in male cancer survivors is thought to primarily result from killing of the spermatogonial stem cells (SSCs) responsible for producing spermatozoa since SSCs turn over slowly and are thereby sensitive to antineoplastic therapies. We previously demonstrated that the cytokine granulocyte colony-stimulating factor (G-CSF) can preserve spermatogenesis after alkylating chemotherapy (busulfan). METHODS: Male mice were treated with G-CSF or controls before and/or after sterilizing busulfan treatment and evaluated immediately or 10-19 weeks later for effects on spermatogenesis. RESULTS: We demonstrated that the protective effect of G-CSF on spermatogenesis was stable for at least 19 weeks after chemotherapy, nearly twice as long as previously shown. Further, G-CSF treatment enhanced spermatogenic measures 10 weeks after treatment in the absence of a cytotoxic insult, suggesting G-CSF acts as a mitogen in steady-state spermatogenesis. In agreement with this conclusion, G-CSF treatment for 3 days before busulfan treatment exacerbated the loss of spermatogenesis observed with G-CSF alone. Reciprocally, spermatogenic recovery was modestly enhanced in mice treated with G-CSF for 4 days after busulfan. These results suggested that G-CSF promoted spermatogonial proliferation, leading to enhanced spermatogenic regeneration from surviving SSCs. Similarly, there was a significant increase in proportion of PLZF+ undifferentiated spermatogonia that were Ki67+ (proliferating) 1 day after G-CSF treatment. CONCLUSIONS: Together, these results clarify that G-CSF protects spermatogenesis after alkylating chemotherapy by stimulating proliferation of surviving spermatogonia, and indicate it may be useful as a retrospective fertility-restoring treatment.