Intravenous tranexamic acid reduces complications following surgical treatment of pathologic fractures of the lower extremity.

BACKGROUND AND OBJECTIVES: This study aimed to evaluate the postoperative complications associated with administering intravenous (IV) tranexamic acid (TXA) in patients undergoing surgical fixation for neoplastic pathologic fractures of the lower extremities. METHODS: Patients ≥18 years old who underwent surgical intervention for neoplastic pathologic lower extremity fractures from 2015 to 2021 were identified using the Premier Healthcare Database. This cohort was divided by TXA receipt on the index surgery day. Patient demographics, hospital factors, patient comorbidities, and 90-day complications were assessed and compared between the cohorts. RESULTS: From 2015 to 2021, 4497 patients met inclusion criteria (769 TXA[+] and 3728 TXA[-]). Following propensity score matching, patients who received TXA had a significantly shorter length of stay than those who did not (7.6 ± 7.3 days vs. 9.0 ± 15.2, p = 0.036). Between the two cohorts, there were no significant differences in comorbidities. Regarding differences in postoperative complications, TXA(+) patients had significantly decreased odds of deep vein thrombosis (DVT) (1.87% vs. 5.46%; odds ratio [OR]:0.33; 95% confidence interval: 0.17-0.62; p = 0.001). CONCLUSION: Administration of IV TXA may be associated with a decreased risk of postoperative DVT without an increased risk of other complications. Orthopedic surgeons should consider the utilization of IV TXA in patients treated surgically for neoplastic pathologic fractures of the lower extremity.

Patient Navigation in Cancer Treatment: A Systematic Review.

PURPOSE OF REVIEW: Patient navigation promotes access to timely treatment of chronic diseases by eliminating barriers to care. Patient navigation programs have been well-established in improving screening rates and diagnostic resolution. This systematic review aimed to characterize the multifaceted role of patient navigators within the realm of cancer treatment. RECENT FINDINGS: A comprehensive electronic literature review of PubMed and Embase databases was conducted to identify relevant studies investigating the role of patient navigators in cancer treatment from August 1, 2009 to March 27, 2023. Fifty-nine articles were included in this review. Amongst studies focused on cancer treatment initiation, 70% found a significant improvement in treatment initiation amongst patients who were enrolled in patient navigation programs, 71% of studies focused on treatment adherence demonstrated significant improvements in treatment adherence, 87% of studies investigating patient satisfaction showed significant benefits, and 81% of studies reported a positive impact of patient navigators on quality care indicators. Three palliative care studies found beneficial effects of patient navigation. Thirty-seven studies investigated disadvantaged populations, with 76% of them concluded that patient navigators made a positive impact during treatment. This systematic review provides compelling evidence supporting the value of patient navigation programs in cancer treatment. The findings suggest that patient navigation plays a crucial role in improving access to care and optimizing treatment outcomes, especially for disadvantaged cancer patients. Incorporating patient navigation into standard oncology practice can reduce disparities and improve the overall quality of cancer care.

Educational interventions to reduce depression and anxiety in older adults with cancer in the community: a systematic review, meta-analysis and meta-regression of randomised controlled trials.

BACKGROUND: Older adults make up half of those with cancer and are prone to mood disorders, such as depression and severe anxiety, resulting in negative repercussions on their health-related quality-of-life (HRQOL). Educational interventions have been shown to reduce adverse psychological outcomes. We examined the effect of educational interventions on the severity of psychological outcomes in older adults with cancer (OAC) in the community. METHOD: This PRISMA-adherent systematic review involved a search of PubMed, MedLine, Embase and PsycINFO for randomised controlled trials (RCTs) that evaluated educational interventions impacting the severity of depression, anxiety and HRQOL in OAC. Random effects meta-analyses and meta-regressions were used for the primary analysis. RESULTS: Fifteen RCTs were included. Meta-analyses showed a statistically insignificant decrease in the severity of depression (SMD = -0.30, 95%CI: -0.69; 0.09), anxiety (SMD = -0.30, 95%CI: -0.73; 0.13) and improvement in overall HRQOL scores (SMD = 0.44, 95%CI: -0.16; 1.04). However, subgroup analyses revealed that these interventions were particularly effective in reducing the severity of depression and anxiety in specific groups, such as OAC aged 60-65, those with early-stage cancer, those with lung cancer and those treated with chemotherapy. A systematic review found that having attained a higher education and income level increased the efficacy of interventions in decreasing the severity of adverse psychological outcomes. CONCLUSION: Although overall meta-analyses were statistically insignificant, subgroup meta-analyses highlighted a few specific subgroups that the educational interventions were effective for. Future interventions can be implemented to target these vulnerable groups.

Feasibility of a Geriatric Oncology Longitudinal End to End (GOLDEN) Program in a Tertiary Cancer Center in Singapore.

INTRODUCTION: In the National University Cancer Institute, Singapore (NCIS), 2 pilot programs providing (i) surgical prehabilitation before cancer surgery and (ii) geriatric oncology support for older adults planned for chemotherapy and/or radiotherapy were merged to form the Geriatric Oncology Longitudinal End to eNd (GOLDEN) program in 2019 to support patients from the time of their cancer diagnosis, through their treatment process, to cancer survivorship. METHODS AND MATERIALS: Older adults aged ≥65 years were enrolled in either surgical prehabilitation, the geriatric medical oncology (GO) arm, or both. All patients undergo a geriatric assessment. We assessed if patients had a change in treatment plans based on GOLDEN recommendations, and the impact on patient related outcomes. RESULTS: There were 777 patients enrolled in the GOLDEN program over 2 years; 569 (73%) were enrolled in surgical prehabilitation, 308 (40%) were enrolled in the GO arm, with 100 (12.8%) enrolled in both. 56.9% were females. Median age was 73. Lower gastrointestinal (51.2%) and hepatobiliary cancers (24.1%) were the most common cancer types. 43.4% were pre-frail and 11.7% were frail. Of the 308 patients in the GO arm, 86.0% had geriatric syndromes, while 60.7% had a change in their treatment plans based on GOLDEN recommendations. 31.5% reported an improved global health status, while 38.3% maintained their global health status. 226 (73%) responded that they had benefited from the GOLDEN. CONCLUSION: More than half of the population was either pre-frail or frail. Amongst those in the GO arm, the majority had geriatric syndromes and had a change in their treatment plans based on GOLDEN recommendations. Majority reported either improvement or maintenance in global health status, with most feeling they have benefited from the program. Further evaluation of the longitudinal geriatric hematology-oncology program for cancer-related outcomes and sustainability should be carried out.

Atropisomerism in the Pharmaceutically Relevant Realm.

Atropisomerism is a conformational chirality that occurs when there is hindered rotation about a σ-bond. While atropisomerism is exemplified by biaryls, it is observed in many other pharmaceutically relevant scaffolds including heterobiaryls, benzamides, diarylamines, and anilides. As bond rotation leads to racemization, atropisomers span the gamut of stereochemical stability. LaPlante has classified atropisomers based on their half-life of racemization at 37 °C: class 1 (t1/2 < 60 s), class 2 (60 s < t1/2 < 4.5 years), and class 3 (t1/2 > 4.5 years). In general, class-3 atropisomers are considered to be suitable for drug development. There are currently four FDA-approved drugs that exist as stable atropisomers, and many others are in clinical trials or have recently appeared in the drug discovery literature. Class-1 atropisomers are more prevalent, with ∼30% of recent FDA-approved small molecules possessing at least one class-1 axis. While class-1 atropisomers do not possess the requisite stereochemical stability to meet the classical definition of atropisomerism, they often bind a given target in a specific set of chiral conformations.Over the past decade, our laboratory has embarked on a research program aimed at leveraging atropisomerism as a design feature to improve the target selectivity of promiscuous lead compounds. Our studies initially focused on introducing class-3 atropisomerism into promiscuous kinase inhibitors, resulting in a proof of principle in which the different atropisomers of a compound can have different selectivity profiles with potentially improved target selectivity. This inspired a careful analysis of the binding conformations of diverse ligands bound to different target proteins, resulting in the realization that the sampled dihedral conformations about a prospective atropisomeric axis played a key role in target binding and that preorganizing the prospective atropisomeric axis into a desired target's preferred conformational range can lead to large gains in target selectivity.As atropisomerism is becoming more prevalent in modern drug discovery, there is an increasing need for strategies for atropisomerically pure samples of pharmaceutical compounds. This has led us and other groups to develop catalytic atroposelective methodologies toward pharmaceutically privileged scaffolds. Our laboratory has contributed examples of atroposelective methodologies toward heterobiaryl systems while also exploring the chirality of less-studied atropisomers such as diarylamines and related scaffolds.This Account will detail recent encounters with atropisomerism in medicinal chemistry and how atropisomerism has transitioned from a "lurking menace" into a leverageable design strategy in order to modulate various properties of biologically active small molecules. This Account will also discuss recent advances in atroposelective synthesis, with a focus on methodologies toward pharmaceutically privileged scaffolds. We predict that a better understanding of the effects of conformational restriction about a prospective atropisomeric axis on target binding will empower chemists to rapidly "program" the selectivity of a lead molecule toward a desired target.

Delirium is significantly associated with hospital frailty risk score derived from administrative data.

OBJECTIVES: Delirium is highly prevalent in hospitalised older adults, under-diagnosed and associated with poor outcomes. We aim to determine (i) association of frailty measured using Hospital Frailty Risk Score (HFRS) with delirium, (ii) impact of delirium on mortality, 30-days readmission, extended length of stay (eLOS) and cost (eCOST). METHODS: Retrospective cohort study was conducted on 902 older adults ≥75 years discharged from an academic tertiary hospital between March and September 2021. Data was obtained from hospital administrative database. RESULTS: Delirium was prevalent in 39.1%, 58.1% were female with mean age 85.3 ± 6.2 years. Patients with delirium were significantly older, had higher HFRS, pneumonia, urinary tract infection (UTI), E.coli and Klebsiella infection, constipation, dehydration, stroke and intracranial bleed, with comorbidities including dementia, diabetes, hypertension, hyperlipidaemia and chronic kidney disease. In-hospital mortality, 30-days mortality, 30-days readmission, median LOS and cost was significantly higher. Delirium was significantly associated with at least intermediate frailty (OR = 3.52; CI = 2.48-4.98), dementia (OR = 2.39; CI = 1.61-3.54), UTI (OR = 1.95; CI = 1.29-2.95), constipation (OR = 2.49; CI = 1.43-4.33), Klebsiella infection (OR = 3.06; CI = 1.28-7.30), dehydration (OR = 2.01; CI = 1.40 - 2.88), 30-day mortality (OR = 2.52; CI = 1.42-4.47), 30-day readmission (OR = 2.18; CI = 1.36-3.48), eLOS (OR = 1.80; CI = 1.30-2.49) and eCOST (OR = 1.67; CI = 1.20-2.35). CONCLUSIONS: Delirium was highly prevalent in older inpatients, and associated with dementia, frailty, increased cost, LOS, 30-day readmissions and mortality. Hospital Frailty Risk Score had robust association with delirium and can be auto-populated from electronic medical records. Prospective studies are needed on multicomponent delirium preventive measures in high-risk groups identified by HFRS in acute care settings.

Computer-Navigated and Robotic-Assisted Total Knee Arthroplasty: Increasing in Popularity Without Increasing Complications.

BACKGROUND: Data on the clinical impact of computer navigation (CN) and robotic assistance (RA) in total knee arthroplasty (TKA) are mixed. This study aims to describe modern utilization trends in CN-TKA, RA-TKA, and traditionally-instrumented (TD) TKA and to assess for differences in postoperative complications and opioid consumption by procedure type. METHODS: A national database was queried to identify primary, elective TKA patients from 2015 to 2020. Trends in procedural utilization rates were assessed. Differences in 90-day postoperative complications and inpatient opioid consumption were assessed. Multivariate regression analyses were performed to account for potential confounders. RESULTS: Of the 847,496 patients included, 49,317 (5.82%) and 24,460 (2.89%) underwent CN-TKA and RA-TKA, respectively. CN-TKA utilization increased from 5.64% (2015) to 6.41% (2020) and RA-TKA utilization increased from 0.84% (2015) to 5.89% (2020). After adjusting for confounders, CN-TKA was associated with lower periprosthetic joint infection (P = .001), pulmonary embolism (P < .001), and acute respiratory failure (P = .015) risk compared to traditional (TD) TKA. RA-TKA was associated with lower deep vein thrombosis (P < .001), myocardial infarction (P = .013), and pulmonary embolism (P = .001) risk than TD-TKA. Lower postoperative day 1 opioid usage was seen with CN-TKA and RA-TKA than TD-TKA (P < .001). Lower postoperative day 0 opioid consumption was also seen in RA-TKA (P < .001). CONCLUSION: From 2015 to 2020, there was a relative 13.7% and 601.2% increase in CN-TKAs and RA-TKAs, respectively. This trend was associated with reductions in hospitalization duration, postoperative complications, and opioid consumption. These data support the safety of RA-TKA and CN-TKA compared to TD-TKA. Further investigation into the specific indications for these technology-assisted TKAs is warranted.

Comparison of Rapid Cognitive Screen against Montreal Cognitive Assessment in screening for cognitive impairment in the old and old-old.

BACKGROUND: The Montreal Cognitive Assessment (MoCA) was developed as a screening tool for mild cognitive impairment (MCI). Given the need for a rapid screening test in settings such as primary care, we compare the validity of the Rapid Cognitive Screen (RCS) against the MoCA, and determine cut-off scores in the old and old-old. METHODS: Cross-sectional study involving community-dwelling 'old' (65 to 79 years old) and 'old-old' (≥ 80 years old) without dementia. Cognitive impairment was defined by MoCA score 17 to 22. Validation was done using the receiver operating characteristic (ROC) curve analysis: area under the curve (AUC), sensitivity (Sn), and specificity (Sp). RESULTS: Of the 183 participants (mean age 72.1 ± 5.2 years),15.8% (n = 29) were classified as cognitively impaired. The overall ROC curve had an AUC of 0.82 (95% CI 0.75-0.90, P < 0.01) with an optimal cut-off of 7/8 on RCS (Sn 0.77, Sp 0.72). The 'old' and 'old-old' group had AUC of 0.82 (95% CI 0.74-0.91, P < 0.01) with 8/9 as optimal cut-off (Sn 0.51, Sp 0.96) and AUC of 0.85 (95% CI 0.66-1.03, P < 0.01) with 7/8 as optimal cut-off (Sn 0.71, Sp 1.00) respectively. In multivariate analysis, age was associated with 0.05 (95% CI -0.10-0.00, P < 0.04) point decrement, while >6 years of education was associated with 0.82 (95% CI 0.32-1.33, P < 0.01) point increment in RCS scores. CONCLUSION: The three-item RCS is quick and easy to administer. Although RCS met the criterion for good validity against MoCA in predicting cognitive impairment, its utility as a first-line screening tool needs to be further validated in a large-scale population study.

A 5-Year Retrospective Study on Infant Homicide Presenting as Cot Death: Are We Missing Infant Homicides?

ABSTRACT: Being found dead in cot or bed is the most common presentation encountered with infant deaths. These deaths are often associated with unsafe sleep environment. The postmortem examination in such cases is often negative, and along with family objections, cultural, and other factors, may lead to a coroner considering not authorizing a postmortem examination. However, not identifying a homicide is a potential risk if a postmortem examination is not performed. This 5-year retrospective study investigated the proportion of infant homicide death initially presenting as cot death. Of a total of 103 cases of infants initially presenting as being found dead in cot or bed, 3 (approximately 3%) were classified as homicides after postmortem examination. During the study period, a total of 9 infant homicides were reported, translating to 33% (3 of 9) of infant homicides presented as cot deaths. Postmortem radiology was a valuable adjunct, but was unable to recognize 2 of the homicide cases with traumatic head injuries (with subdural hemorrhage and brain injury only). We strongly advocate that all infant deaths presenting as cot death require a full postmortem examination.

Compliance monitoring via a Bluetooth-enabled retainer: A prospective clinical pilot study.

OBJECTIVES: To conduct a prospective pilot trial to test the clinical efficacy and accuracy of a newly developed Bluetooth-enabled retainer, which was synchronized with an iOS mobile application, cloud database and provider webpage. SETTING AND SAMPLE POPULATION: Five orthodontic residents in a university setting. MATERIAL AND METHODS: At the delivery of the retainers (T0), each participant was given an Bluetooth-enabled retainer, logbook and iPod Touch installed with the mobile application. Participants were instructed to wear the retainer for 12 hours per day and record in the logbook each time the retainer was inserted or removed and trained to synchronize the device daily to the mobile application. After the 5-day study period (T1), statistical analysis was performed comparing the device-reported data to the logbook data using two calculation methods. RESULTS: From T0 - T1, the participants wore their retainers for a median of 11.55 hours per day and the median difference between the self-reported (logbook) data and the device data was 35 minutes or 5.1% over the 5-day study period. Using an adjusted method to calculate the device-reported wear time, the median error was 13 minutes or 1.9%. CONCLUSION: Subjects were able to successfully wear the retainer and upload the data to the mobile application and cloud database. Patient compliance and technical issues could be monitored daily via the provider webpage, and early intervention was possible with reminder messaging. The Bluetooth-enabled retainer showed a clinically acceptable level of accuracy and usability that validates it for future clinical testing.

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.

Purpose To compare the performance of a deep-learning bone age assessment model based on hand radiographs with that of expert radiologists and that of existing automated models. Materials and Methods The institutional review board approved the study. A total of 14 036 clinical hand radiographs and corresponding reports were obtained from two children's hospitals to train and validate the model. For the first test set, composed of 200 examinations, the mean of bone age estimates from the clinical report and three additional human reviewers was used as the reference standard. Overall model performance was assessed by comparing the root mean square (RMS) and mean absolute difference (MAD) between the model estimates and the reference standard bone ages. Ninety-five percent limits of agreement were calculated in a pairwise fashion for all reviewers and the model. The RMS of a second test set composed of 913 examinations from the publicly available Digital Hand Atlas was compared with published reports of an existing automated model. Results The mean difference between bone age estimates of the model and of the reviewers was 0 years, with a mean RMS and MAD of 0.63 and 0.50 years, respectively. The estimates of the model, the clinical report, and the three reviewers were within the 95% limits of agreement. RMS for the Digital Hand Atlas data set was 0.73 years, compared with 0.61 years of a previously reported model. Conclusion A deep-learning convolutional neural network model can estimate skeletal maturity with accuracy similar to that of an expert radiologist and to that of existing automated models. © RSNA, 2017 An earlier incorrect version of this article appeared online. This article was corrected on January 19, 2018.

Deep Learning to Classify Radiology Free-Text Reports.

Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) reports from two institutions. Materials and Methods Contrast material-enhanced CT examinations of the chest performed between January 1, 1998, and January 1, 2016, were selected. Annotations by two human radiologists were made for three categories: the presence, chronicity, and location of PE. Classification of performance of a CNN model with an unsupervised learning algorithm for obtaining vector representations of words was compared with the open-source application PeFinder. Sensitivity, specificity, accuracy, and F1 scores for both the CNN model and PeFinder in the internal and external validation sets were determined. Results The CNN model demonstrated an accuracy of 99% and an area under the curve value of 0.97. For internal validation report data, the CNN model had a statistically significant larger F1 score (0.938) than did PeFinder (0.867) when classifying findings as either PE positive or PE negative, but no significant difference in sensitivity, specificity, or accuracy was found. For external validation report data, no statistical difference between the performance of the CNN model and PeFinder was found. Conclusion A deep learning CNN model can classify radiology free-text reports with accuracy equivalent to or beyond that of an existing traditional NLP model. © RSNA, 2017 Online supplemental material is available for this article.

Randomized trial of rivaroxaban versus warfarin in the evaluation of progression of coronary atherosclerosis.

Warfarin, a vitamin K antagonist, is associated with systemic vascular calcification. We evaluated whether rivaroxaban (a direct oral factor Xa inhibitor with no interaction with vitamin K) will slow the progression in coronary plaque volumes compared with warfarin in patients with nonvalvular atrial fibrillation using coronary computed tomography angiography.

Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.

We proposed an unsupervised hybrid method - Intelligent Word Embedding (IWE) that combines neural embedding method with a semantic dictionary mapping technique for creating a dense vector representation of unstructured radiology reports. We applied IWE to generate embedding of chest CT radiology reports from two healthcare organizations and utilized the vector representations to semi-automate report categorization based on clinically relevant categorization related to the diagnosis of pulmonary embolism (PE). We benchmark the performance against a state-of-the-art rule-based tool, PeFinder and out-of-the-box word2vec. On the Stanford test set, the IWE model achieved average F1 score 0.97, whereas the PeFinder scored 0.9 and the original word2vec scored 0.94. On UPMC dataset, the IWE model's average F1 score was 0.94, when the PeFinder scored 0.92 and word2vec scored 0.85. The IWE model had lowest generalization error with highest F1 scores. Of particular interest, the IWE model (trained on the Stanford dataset) outperformed PeFinder on the UPMC dataset which was used originally to tailor the PeFinder model.

Domain-specific free thiol variant characterization of an IgG1 by reversed-phase high-performance liquid chromatography mass spectrometry.

Measurement of free thiols in antibody therapeutics is important for product development and assessment of critical quality attributes. Earlier studies demonstrated fast separation of free thiol variants of IgG1 using reversed-phase high performance liquid chromatography (RP-HPLC) with diphenyl resin. Here, we report using N-tert-butylmaleimide (NtBM) alkylation followed by RP-HPLC and online mass spectrometry for rapid total and domain-specific free thiol characterization of IgG1. By increasing hydrophobicity, NtBM alkylation improves separation of free thiol variants from disulfide-linked main peak species. The unique mass shift by NtBM alkylation offers unambiguous characterization of free thiol variants by online mass spectrometry. Variant peaks separated by RP-HPLC were antibody molecules containing two NtBM-alkylated cysteines, corresponding to IgG1 containing two free thiols before alkylation. Further characterization of the collected fractions of variants by peptide mapping revealed that each variant contained unpaired cysteines located in specific IgG1 domains (CH1, CH3, VH and VL domains). Total molecular-level and domain-specific free thiol content measured by this method correlate well with orthogonal differential alkylation peptide mapping analysis, which measures free thiol level at individual cysteine residues. This method provides high throughput quantitation of total and domain-specific free thiol content in IgG1 molecules, facilitating rapid, comprehensive product and manufacturing process characterization.

Impact of patient education on influenza vaccine uptake among community-dwelling elderly: a randomized controlled trial.

This randomized controlled trial aimed to test the effectiveness of brief face-to-face patient education in increasing influenza vaccination rate among elderly in the community. Recruitment and intervention were conducted at two general outpatient clinics in Hong Kong. 529 eligible patients were randomly assigned to intervention or control group with 1:1 allocation ratio. Patients in the intervention group received 3-min one-on-one verbal education by medical students and a pamphlet regarding influenza vaccination. Neither verbal health education nor pamphlet was given to the control group. Intention-to-treat analysis showed significantly higher vaccination rate in the intervention group compared with the control group (33.6 versus 25.0%) and the adjusted relative risk was 1.34 (95% CI 1.04-1.72; P = 0.021). Hence, brief face-to-face patient education was effective in increasing influenza vaccine uptake rate of community-dwelling elderly patients. Participants who were undecided whether to receive vaccination seemed to demonstrate larger beneficial effect (RR = 7.84; 95% CI 1.06-57.76) compared with patients who were certain of either receiving (RR = 1.16; 95% CI 0.90-1.48) or not receiving (RR = 2.18; 95% CI 0.68-6.99) the vaccine. The study also revealed that patients' intention for vaccination may not translate into action, reasons for which should be explored in future research.

[National University Health System (NUHS) Transitional Care Program].

Frail elderly patients require a longer time to recuperate after hospitalization, and are often discharged home from the hospital with little support despite their needs fpr complex care. They are particularly vulnerable to hazards of hospitalization and fragmented care if not appropriately managed. A geriatrician-led transitional care program called NUH-to-Home (NUH2H) was started in March 2014 to provide high-quality person-centered interdisciplinary care for older adults who were discharged from the National University Hospital (NUH) Singapore. It aims to enhance the quality and safety of post-discharge care at home, leading to an eventual reduction in readmissions and prolonged hospital stay. In the first year of implementation, there was a 67%. 68% and 75% reduction in readmissions, emergency room visits and length of hospital stay respectively.

Impact of Body Mass Index on Opioid Prescriptions Following Lumbar Spine Surgery.

OBJECTIVE: This study aimed to evaluate the association between BMI and postoperative opioid use within two years following lumbar spine surgery using a national database. METHODS: TriNetX, a national network of de-identified patient records, was retrospectively queried from 2003 to 2021 using ICD-10, CPT, and VA codes. Propensity-score matching analysis was performed based on demographics, comorbidities, anxiety disorders, and mood disorders. RESULTS: 21,997 total patients were included in our analysis. Patients with BMI > 30 were more likely to be prescribed opioids postoperatively (OR: 1.30; 95% CI: 1.18-1.42). Patients with BMI > 40 were more likely to be prescribed opioids when compared to patients with BMI < 30 (OR: 1.94; 95% CI: 1.48-2.56), BMI 30-34.9 (OR: 2.06; 95% CI: 1.57-2.70), BMI 35-39.9 (OR: 1.50; 95% CI: 1.13-2.00), and BMI < 40 (OR: 2.06; 95% CI: 1.57-2.70). The BMI > 40 group had an increased number of opioid prescriptions within two years following lumbar surgery compared to patients with BMI 30-34.9 (p = 0.0113) and BMI < 30 (p = 0.0018). CONCLUSION: Opioid prescription following lumbar spine surgery is associated with an elevated BMI. Patients with Class III Obesity appear to be at the highest risk of increased opioid prescriptions following lumbar surgery. Physicians should consider the patient's BMI when deciding postoperative pain management.

Telemedicine impact on patient disparities and physician practice patterns in cancer rehabilitation: A multicenter retrospective study.

OBJECTIVE: To examine the impact of telemedicine on demographic and practice patterns between outpatients receiving virtual versus in-person cancer rehabilitation physiatry care. DESIGN: Multicenter retrospective study. SETTING: Outpatient cancer rehabilitation physiatry clinics at four academic medical centers in the United States. PATIENTS: Patients with cancer diagnoses or history of cancer diagnosis. INTERVENTIONS: Cancer rehabilitation physiatry encounters. MAIN OUTCOME MEASURES: Visit mode (in-person, telemedicine); disparities variables (age, race, and gender) by visit mode, and practice interventions (imaging, medications, procedures, other orders, and orders of any type) by visit mode. RESULTS: Among a total of 7004 encounters, 2687 unique patients were found. In-person participants were significantly older than the average telemedicine participant (mean 62.9 vs. 60.7 years; p < .001). A race effect was seen (p = .037) with individuals reporting as Asian or other being more likely to have telemedicine encounters. No gender disparities were seen. Using a random visit analysis model to compare populations receiving in-person versus telemedicine care, a slight majority (53%) of follow-up visits were via telemedicine, versus 40% of new patient visits (p < .001). No significant differences were seen in medication prescribing frequency (38.9% telemedicine vs. 36.7% in-person, adjusted relative risk [RR]: 0.988, confidence interval [CI]: 0.73-1.34; p = .988) or imaging frequency (2.4% telemedicine vs. 7.6%; adjusted RR: 0.784, CI: 0.44-1.39; p = .408) between telemedicine versus in-person visit types. Other orders were significantly less likely to be placed during telemedicine than in-person visits (19.9% telemedicine vs. 28.6% in-person; adjusted RR: 0.623, CI: 0.45-0.86, p = .004). Order(s) of any type were placed in 54% of visits (52% telemedicine vs. 56% in-person; adjusted RR: 0.92 for telemedicine, CI: 0.83-1.01, p = .082). CONCLUSIONS: Telemedicine has been integrated into cancer rehabilitation physiatry practices and appears to be conducive for placing many types of orders, especially medications. Age was found to be the only major demographic difference between in-person and telehealth patients.