A call to "own the bone": osteoporosis is a predictor for adverse two-year outcomes following total hip and knee arthroplasty.

PURPOSE: While bone health is instrumental in orthopedic surgery, few studies have described the long-term outcomes of osteoporosis (OP) in patients undergoing total hip (THA) or knee (TKA) arthroplasties. METHODS: Using the New York State statewide planning and research cooperative system database, all patients who underwent primary TKA or THA for osteoarthritis from 2009 to 2011 with minimum 2-year follow-up were identified. They were divided based on their OP status (OP and non-OP) and 1:1 propensity score matched for age, sex, race, and Charlson/Deyo index. Cohorts were compared for demographics, hospital-related parameters, and 2-year postoperative complications and reoperations. Multivariate binary logistic regression was utilized to identify significant independent associations with 2-year medical and surgical complications and revisions. RESULTS: A total of 11,288 TKA and 8248 THA patients were identified. OP and non-OP TKA patients incurred comparable overall hospital charges for their surgical visit and hospital length of stay (LOS) (both, p ≥ 0.125). Though OP and non-OP THA patients incurred similar mean hospital charges for their surgical visit, they experienced longer hospital LOS (4.3 vs. 4.1 days, p = 0.035). For both TKA and THA, OP patients had higher rates of overall and individual medical and surgical complications (all, p < 0.05). OP was independently associated with the 2-year occurrence of any overall, surgical, and medical complications, and any revision in TKA and THA patients (all, OR ≥ 1.42, p < 0.001). CONCLUSION: Our study found OP was associated with a greater risk of 2-year adverse outcomes following TKA or THA, including medical, surgical, and overall complications as well as revision operations compared to non-OP patients.

Implementing Telemedicine During the COVID-19 Pandemic: Disparities in Utilization in an Urban Pain Medicine Practice.

Purpose: The COVID-19 pandemic led to a drastic expansion in utilizing telemedicine, circumventing some of the geographical barriers to accessing pain care. However, uncertainties around the impact of telemedicine across various sociodemographic groups still exist, prompting further exploration. Therefore, this study aimed to evaluate the impact of sociodemographic factors in telemedicine utilization during and after the COVID-19 pandemic. Patients and methods: All outpatient non-procedural visits at the pain medicine division of a large academic institution in the epicenter of the pandemic (New York, USA), between March 2019 and October 2021, were retrospectively included. Sociodemographic data including gender, age, ethnicity/race, postal code, and type of health insurance, across three time periods associated with the COVID-19 pandemic - pre-lockdown (in-office visits only), lockdown (telemedicine visits only) and post-lockdown (offering both in-office and telemedicine visits) - were analyzed and compared. Results: In total, 12,615 unique patients - The majority being women (58%) - were seen during the whole study period. In the post-lockdown period, telemedicine was utilized by 42% of all patients. Follow-up visits, younger patients, white patients, patients residing further away from the hospital, and privately insured patients were more likely to utilize telemedicine post-lockdown (p <0.05). Older patients, minorities, Manhattan residents, and Medicare/Medicaid recipients, were more likely to use in-office visits post-lockdown (p <0.05). Conclusion: We identified disparities in the utilization of telemedicine in Pain Medicine, which may be due to socioeconomic factors such as lack of access to reliable internet access, cost of devices, and technological know-how. This emphasizes the need for further studies to better understand the reasons for and barriers to telemedicine use. This could help inform policymaking to safeguard equitable access to telemedicine use for pain care.

Benefits of CT Scanning for the Management of Knee Arthritis and Arthroplasty.

This review investigated the potential value of computed tomography (CT) scans for the evaluation and management of knee arthritis and arthroplasty. Specifically, we evaluated the following: (1) assessment of arthritis within knee compartments, (2) patellofemoral joint assessment, (3) implant sizing prediction, (4) component alignment, (5) soft-tissue protection, and (6) potential concerns with radiation exposure. To compare if CT or X-ray imaging is more accurate and clinically relevant, a search was performed using Boolean search operators and terms: "CT," "radiograph," "joint alignment," "knee," and "arthroplasty," which yielded 661 results. Studies were evaluated based on (1) assessment of arthritis within knee compartments, (2) patellofemoral joint assessment, (3) implant sizing prediction, (4) component alignment, (5) soft-tissue protection, and (6) potential concerns with radiation exposure. Correlative and comparative analyses of imaging modalities to pre-, intra-, and postoperative clinical and patient-related factors were performed for the 63 included studies. CT scans were found to better detect medial and lateral arthritic changes, bony deformities, subchondral cysts, and cartilage losses. CT scans were shown to 99% accurately predict prosthetic sizes preoperatively. CT scans can also help better visualize surrounding anatomy, such as the posterior cruciate ligament, and have therefore been linked to better soft tissue protection during total knee arthroplasty. Although radiation is a potential concern, newer imaging protocols have comparable exposure to plain radiographs. Compared with plain radiographs, CT scans were found to be more accurate and provide more clinically relevant data. Therefore, the authors recommend the use of CT for the evaluation of certain patients with arthritis and for preoperative planning for knee arthroplasty.

The Impact of Malnutrition on 30-Day Postoperative Complications following Surgical Fixation of Distal Radius Fractures.

Introduction Distal radius fractures (DRFs) are increasingly managed surgically among fragility fractures due to prolonged life expectancy and surgical advancements. Yet, malnutrition can impact postoperative outcomes and complications. We sought to determine the impact of malnutrition on open reduction and internal fixation (ORIF) of DRFs during the perioperative and 30-day postoperative periods. Materials and Methods Using the National Surgical Quality Improvement Program database, all patients who underwent ORIF of a DRF between January 1, 2008, and December 31, 2016, were identified and stratified by preoperative serum albumin levels: normal (≥3.5 g/dL; n = 2,546) or hypoalbuminemia (<3.5 g/dL; n = 439). Demographical and perioperative data were compared. Operative complications were stratified into major and minor complications, and data were analyzed using descriptive statistics and multivariate regression models. Results Compared with patients with normal levels, a higher proportion of hypoalbuminemia patients had ASA scores > 3 (9.1 vs. 2%) and a longer mean length of stay (3.16 vs. 0.83 days). Hypoalbuminemia patients also had 625% greater odds for developing major complications during the 30-day postoperative period (odds ratio = 7.25; 95% confidence interval: 1.91-27.49). Conclusion Malnutrition significantly affected outcomes and complications of distal radius ORIF. This study highlights the importance of prevention and treatment of malnutrition in the setting of fragility fractures.

A Nationwide Analysis of Preoperative Planning on Operative Times and Postoperative Complications in Total Knee Arthroplasty.

Compared with nonelective total knee arthroplasties (TKAs), elective procedures have more time for preoperative planning, which allows for potentially improved patient optimization, risk factor modification, and patient education. The purpose of this study was to (1) determine nationwide trends in operative times and (2) evaluate associations between surgery type, elective or nonelective, with respect to (a) operative times, (b) length of stay (LOS), (c) discharge dispositions, (d) 30-day postoperative complications, (e) reoperations, and (f) readmissions. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all primary TKAs performed between 2011 and 2016. This yielded 209,178 cases which were stratified into elective and nonelective cases. Elective cases were those in which patients were brought from their normal living environment for scheduled procedures. One-way ANOVA (analysis of variance) was used to evaluate associations between operative times and year of surgery. Multivariate linear and logistic regression models adjusted for surgery year and patient factors (age, sex, BMI [body mass index], and ASA [American Society of Anesthesiologists] score) were used to evaluate associations of surgery type with peri- and postoperative outcomes. A significant inverse correlation between operative times and operative year was observed (p < 0.001). Mean operative times and LOS were significantly shorter in elective cases compared with nonelective cases (93 vs. 112 minutes, p < 0.005; 3 vs. 5 days, p < 0.001). Multivariate analysis showed these associations remained significant even after adjusting for potential confounders (p < 0.001). Compared with the nonelective cohort, patients in the elective cohort were more likely to be discharged home (74 vs. 69%, p < 0.001). Nonelective patients had higher rates of pneumonia (0.7 vs. 0.3%, p = 0.005), organ-space surgical site infections (SSI; 0.4 vs. 0.2%, p = 0.004), transfusions (10.9 vs. 6.5%, p < 0.001), sepsis (0.6 vs. 0.2%, p = 0.001), and septic shock (0.2 vs. 0.1%, p = 0.005) compared with elective patients. These associations remained significant with multivariate logistic regression. This study demonstrated that preoperative planning can help shorten operative times and LOS as well as reduce complication and reoperation rates. Alongside the direct advantages identified in this study, potential greater effects include superior patient outcomes and reduced health care costs.