Dissociation Between the Growing Opioid Demands and Drug Policy Directions Among the U.S. Older Adults with Degenerative Joint Diseases

We aim to examine temporal trends of orthopedic operations and opioid-related hospital stays among seniors in the nation and states of Oregon and Washington where marijuana legalization was accepted earlier than any others. As aging society advances in the United States (U.S.), orthopedic operations and opioid-related hospital stays among seniors increase in the nation. A serial cross-sectional cohort study using the healthcare cost and utilization project fast stats from 2006 through 2015 measured annual rate per 100,000 populations of orthopedic operations by age groups (45–64 vs 65 and older) as well as annual rate per 100,000 populations of opioid-related hospital stays among 65 and older in the nation, Oregon and Washington states from 2008 through 2017. Orthopedic operations (knee arthroplasty, total or partial hip replacement, spinal fusion or laminectomy) and opioid-related hospital stays were measured. The compound annual growth rate (CAGR) was used to quantify temporal trends of orthopedic operations by age groups as well as opioid-related hospital stays and was tested by Rao–Scott correction of χ2 for categorical variables. The CAGR (4.06%) of orthopedic operations among age 65 and older increased (P...) (See full abstract in article

A Cancer Gene-Drug Connectivity Map for DrBioRight

https://openworks.mdanderson.org/sumexp22/1064/thumbnail.jp

Demographic and Psychosocial Factors Associated with Suicide Mortality Among Childbearing-Aged Individuals: A Case-Control Study

Objective: Examine pregnancy-related, demographic, psychosocial and healthcare utilization factors associated with suicide mortality among childbearing-aged women. Methods: Data from nine health care systems in the Mental Health Research Network were included. A case-control study design was used in which 290 childbearing-age women who died by suicide (cases) from 2000-2015 were matched with 2,900 childbearing-age women from the same healthcare system and enrolled during the same time period who did not die by suicide. Conditional logistic regression was used to analyze associations between patient characteristics and suicide. Results: Women who died by suicide were more likely to have mental health or substance use disorders (aOR = 2.36, 95%CI: 1.46, 3.82) and to have visited the emergency department in the year prior to index date (aOR = 3.35, 95%CI: 2.39, 4.68). Pregnancy (aOR = 0.17, 95% CI: 0.04, 0.78) and delivery of a liveborn baby (aOR = 0.39, 95% CI: 0.16, 0.92) within a year before index date were associated with lower risk of suicide mortality. Women who experienced pregnancy loss were more likely to die by suicide (aOR = 1.41, 95% CI: 0.49, 4.06), but this was not statistically significant potentially due to small sample size (n = 6 cases; n = 21 control). Conclusions: Childbearing-aged women with mental health and/or substance use disorders, prior emergency department encounters may benefit from routine screening and monitoring for suicide risk. Future research should further examine the relationship between pregnancy loss and suicide mortality

OBJECT-BASED CLASSIFICATION OF AN URBAN AREA THROUGH A COMBINATION OF AERIAL IMAGE AND AIRBORNE LIDAR DATA

ABSTRACT This paper studies the effect of airborne elevation information on the classification of an aerial image in an urban area. In an urban area, it is difficult to classify buildings relying solely on the spectral information obtained from aerial images because urban buildings possess a variety of roof colors. Therefore, combining Lidar data with aerial images overcomes the difficulties encountered with regard to the heterogeneous appearance of buildings. In the first stage of this process, building information is obtained and is extracted using the normalized Digital Surface Model, return information derived from the airborne Lidar data, and vegetation information obtained through preclassification. In the second stage of this process, the aerial image is segmented into objects. It is then overlaid with building information extracted from the first step in the process. By applying the definite rule to the resulting image, it is possible to determine whether or not the object is a building. In the final stage, the aerial image is classified by using the building object as ancillary data extracted from the prior stage. This classification procedure uses elevation and intensity information obtained from the Lidar data, as well as the red, green, and blue bands obtained from the aerial image. As a result, a method using the combination of an aerial image and the airborne Lidar data shows higher accuracy and improved classification, especially with regard to building objects, than results that rely solely on an aerial image

Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports

With the rapid development of the internet technology, a large amount of internet text data can be obtained. The text classification (TC) technology plays a very important role in processing massive text data, but the accuracy of classification is directly affected by the performance of term weighting in TC. Due to the original design of information retrieval (IR), term frequency-inverse document frequency (TF-IDF) is not effective enough for TC, especially for processing text data with unbalanced distributions in internet media reports. Therefore, the variance between the DF value of a particular term and the average of all DFs , namely, the document frequency variance (ADF), is proposed to enhance the ability in processing text data with unbalanced distribution. Then, the normal TF-IDF is modified by the proposed ADF for processing unbalanced text collection in four different ways, namely, TF-IADF, TF-IADF+, TF-IADFnorm, and TF-IADF+norm. As a result, an effective model can be established for the TC task of internet media reports. A series of simulations have been carried out to evaluate the performance of the proposed methods. Compared with TF-IDF on state-of-the-art classification algorithms, the effectiveness and feasibility of the proposed methods are confirmed by simulation results

Optimal Blood Pressure Control Target for Older Patients with Hypertension: A Systematic Review and Meta-Analysis

Objective: This study evaluated the optimal systolic blood pressure (SBP) target for older patients with hypertension.Method: A Bayesian network meta-analysis was conducted. The risk of bias of the included studies was assessed by using a modified version of the Cochrane risk of bias. The trial outcomes comprised the following clinical events: major adverse cardiovascular events (MACE), cardiovascular mortality, all-cause mortality, myocardial infarction, heart failure and stroke.Results: A total of six trials were included. We reclassified all treatment therapies into three conditions according to the final achieved SBP after intervention (<130 mmHg, 130–139 mmHg and ≥140 mmHg). Our results demonstrated that anti-hypertensive treatment with an SBP target <130 mmHg, compared with treatment with an SBP target ≥140 mmHg, significantly decreased the incidence of MACE (OR 0.43, 95%CI 0.19–0.76), but no statistical difference was found in other comparisons. Although the results showed a trend toward more intensive anti-hypertension therapy having better effects on preventing cardiovascular mortality, all-cause mortality, myocardial infarction, heart failure, and stroke, no significant differences were found among groups.Conclusions: Our meta-analysis suggested that SBP <130 mmHg might be the optimal BP control target for patients ≥60 years of age; however, further evidence is required to support our findings

Postoperative hyperphosphatemia significantly associates with adverse survival in colorectal cancer patients

BACKGROUND: Hyperphosphatemia has been implicated in the development and treatment of various cancers. However, whether it can be used as a direct prognostic marker of colorectal cancer (CRC) has remained unexplored. Given new insights into the importance of hyperphosphatemia in CRC, we sought to evaluate the association of hyperphosphatemia with the clinical outcomes of this disease. METHODS: In a retrospective analysis of a well-characterized clinic-based cohort with 1,241 CRC patients, we assessed the association of postoperative hyperphosphatemia with patient overall survival. RESULTS: Postoperative hyperphosphatemia measured within the first month after surgery was significantly associated with CRC survival. Compared to patients with a normal phosphate level, those with hyperphosphatemia exhibited a significant unfavorable overall survival with a hazard ratio (HR) of 1.84 (95% confidence interval [CI] 1.49–2.29, P=2.6×10(−8), (log-rank P=1.2×10(−7)). Stratified analyses indicated the association was more pronounced in patients with colon (HR=2.00, 95% CI 1.57–2.56, P=3.17×10(−8)) but not rectal cancer (HR=0.96, 95% CI 0.58–1.59, P=0.889) (P interaction=0.023), as well as in those not receiving chemotherapy (HR=2.15, 95% CI 1.59–2.90, P=6.2×10(−7)) but not in those receiving chemotherapy (HR=1.30, 95% CI 0.92–1.82, P=0.136) (P interaction=0.012). Flexible parametric survival model demonstrated that the increased risk for death conferred by postoperative hyperphosphatemia persisted over 150 months after surgery. CONCLUSION: Our data indicated that postoperative hyperphosphatemia might be used as a prognostic marker of CRC patients after surgery. Since phosphate level is routinely tested in clinics, it may be incorporated into clinical models to predict CRC survival

Risk Factors of Not Reaching MCID after Elective Lumbar Spine Surgery: A Case Control Study

Background The therapeutic effect of spine surgery has been traditionally evaluated by physical examination, radiographic findings, and general perception of patient’s health status. However, these assessments are often insufficient to represent surgical outcomes.Patient-reported outcomes (PROs) are tools developed to measures quality outcomes following spinal surgery. Examples include the Patient-Reported Outcomes Measurement Information System Function 4-item Short Form (PROMIS-PF), Visual Analogue Scale (VAS), ODI (Oswestry Disability Index), SF-36 (Short Form Health Survey), and EQ-5D (EuroQuol-5D). The minimum clinically important difference (MCID) is an assessment tool to note the smallest clinical difference in PROs and provides the threshold where patients experience clinical benefit that justifies treatment plans or procedures despite the cost and side effects. MCID results reflect patient-perceived functional improvement, which can be a core metric in lumbar surgery for degenerative disease. Clinical and sociodemographic risk factors may serve to identify high-risk patients via MCID assessment. This study aims to identify risk factors associated with failure of reaching MCID based on PROMIS PF after elective lumbar spine surgery and the data registry from Michigan Spine Surgery Spine Surgery Improvement Collaborative (MSSIC). The results of this study can provide opportunities to optimize medical conditions of patients in prior to any elective lumbar surgery. METHODS MSSIC is a state-wide quality-improvement initiative database including 29 hospitals and 200 orthopedic- and neurosurgeons from various settings. Member hospitals are required to perform an annual minimum of 200 spine surgeries. MSSIC reviews elective spine surgeries for degenerative disease but excludes non-degenerative and/or complex pathology (i.e., spinal cord injury, traumatic fractures, pre-existing infection, grade 3 or 4 spondylolisthesis, scoliosis greater than 25◦, congenital anomalies, or ≥ 4-level fusion). Utilizing MSSIC, 10,922 patients who had undergone elective lumbar spine surgery were selected with 90 day follow up, and 7,200 patients with 1-year follow up. Patients with missing data were excluded from the study. Patient demographics, clinical presentation, medical history, surgical procedure, details of hospital stay, postsurgical adverse events within 90 days of surgery, and patient-reported outcome after surgery were reviewed. A patient was considered to have achieved MCID if there was an increase in ≥4.5 points. RESULTS Of 10,922 patients with 90-day follow-up, 4,453 patients (40.8%) did not reach MCID. Of 7,200 patients with 1-year follow up, 2,361 patients (23.8%) did not achieve MCID. There were significant baseline differences in demographic profiles and operative characteristics for those who had follow-up at 90 days and 1 year after their surgery. At 90 days after surgery, significant factors of not reaching MCID and their relative risk included symptom duration more than 1 year (1.34), previous spine surgery (1.25), African American descent (1.25), chronic opiate use (1.23), less than high school education (1.20), morbid obesity (1.15), ASA class \u3e2 (1.15), current smoking (1.14), chronic obstructive pulmonary disease (COPD) (1.13), depression (1.09), history of DVT (1.08), scoliosis (1.06), anxiety (1.06), baseline PROMIS (1.06), and surgery invasiveness (1.02). At 1 year after surgery, significant factors of not reaching MCID and their relative risk included symptom duration more than 1 year (1.41), less than high school education (1.34), previous spine surgery (1.30), morbid obesity (1.30), chronic opiate use (1.25), age (1.21), current smoking (1.21), African American descent (1.20), ASA class \u3e2 (1.18), history of DVT (1.12), depression (1.10), chronic obstructive pulmonary disease (COPD) (1.09), and baseline PROMIS (1.06). Independent ambulatory status (0.83 and 0.88 for 90-day and 1-year follow-up, respectively) and private insurance (0.83 and 0.85 for 90-day and 1-year follow-up, respectively) were associated with higher likelihood of reaching MCID. CONCLUSION This case control study identifies relevant risk factors of not reaching MCID after elective lumbar spine surgery. The results may assist clinicians in identifying high risk patients and optimizing patients’ medical conditions prior to spinal surgery

Advancing Student Futures in STEM

This work reports a programmatic effort devoted to increasing diversity, equity, and inclusion in STEM education at a Hispanic-serving undergraduate higher-education institution. Between Fall 2015 and Spring 2020, the STEM program offered comprehensive academic and financial support to ninety-four students from five STEM majors: Bachelor of Science degrees in Biomedical Informatics, Applied Chemistry, and Applied Mathematics; and Associate of Science degrees in Chemical Technology and Computer Science. The goals of the program were to: (1) support, retain and graduate academically talented low-income and underrepresented minority students in the five targeted STEM majors; (2) establish a model for a comprehensive support system designed to intervene and provides support at critical junctures; (3) encourage the internal transfer of students from associate to baccalaureate degree programs. The program was successful 1) in providing comprehensive support structures such as financial support, academic advisement, and additional academic support, mentoring, and career counselling; 2) in increasing in the support of women and underrepresented minority students in STEM; 3) in retaining and graduating women and underrepresented minority students in STEM; and 4) in increasing undergraduate research activities by the participating STEM students. This paper describes various aspects of the program and reports on the results, using both quantitative and qualitative data. A status update on graduated scholars from this program will also be provided