scholarly journals Development and validation of a one year predictive model for secondary fractures in osteoporosis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257246
Author(s):  
Setareh A. Williams ◽  
Susan L. Greenspan ◽  
Tim Bancroft ◽  
Benjamin J. Chastek ◽  
Yamei Wang ◽  
...  

The number of osteoporosis-related fractures in the United States is no longer declining. Existing risk-based assessment tools focus on long-term risk. Payers and prescribers need additional tools to identify patients at risk for imminent fracture. We developed and validated a predictive model for secondary osteoporosis fractures in the year following an index fracture using administrative medical and pharmacy claims from the Optum Research Database and Symphony Health, PatientSource. Patients ≥50 years with a case-qualifying fracture identified using a validated claims-based algorithm were included. Logistic regression models were created with binary outcome of a second fracture versus no second fracture within a year of index fracture, with the goal of predicting second fracture occurrence. In the Optum Research Database, 197,104 patients were identified with a case-qualifying fracture (43% commercial, 57% Medicare Advantage). Using Symphony data, 1,852,818 met the inclusion/exclusion criteria. Average patient age was 70.09 (SD = 11.09) and 71.28 (SD = 14.24) years in the Optum Research Database and Symphony data, respectively. With the exception of history of falls (41.26% vs 18.74%) and opioid use (62.80% vs 46.78%), which were both higher in the Optum Research Database, the two populations were mostly comparable. A history of falls and steroid use, which were previously associated with increased fracture risk, continue to play an important role in secondary fractures. Conditions associated with bone health (liver disease), or those requiring medications that impact bone health (respiratory disease), and cardiovascular disease and stroke—which may share etiology or risk factors with osteoporosis fractures—were also predictors of imminent fractures. The model highlights the importance of assessment of patient characteristics beyond bone density, including patient comorbidities and concomitant medications associated with increased fall and fracture risk, in alignment with recently issued clinical guidelines for osteoporosis treatment.

2016 ◽  
Vol 33 (S1) ◽  
pp. S300-S301
Author(s):  
S. Herrera ◽  
A. Riquelme ◽  
T. León ◽  
M. Babul

IntroductionOver the past two decades the prescription of opioid analgesics has increased with a subsequent escalating in prescription opioid misuse. It is estimated that 4.5 million (2.5%) of the United States of America population abuse of pain relievers; opioids are among the most commonly.In Chile there are few reports about the prevalence of opioid use disorder.ObjectivesThe aim of this study is to describe the demographic characteristics, medical and psychiatric comorbidity of patients that suffer from opioid addiction.Patients and methodsThis transversal study examined data of 7 patients with opioid use disorder (OUD; DSM-5) that consulted at the addiction unit of “Red de Salud, Pontificia Universidad Católica de Chile”, between November 2013 and October 2015. Data included: demographics, medical and psychiatric history, laboratory and imaging tests.ResultsOf all the patients, 57% were men, 25 to 67 years of age, 43% between 35-40 years; 57% were married; 57% had completed studies at university. 43% had also alcohol use disorder, 28% marijuana, 28% cocaine and 28% benzodiazepines than in most cases began before OUD. In addition; 57% had medical comorbidity among which stand out obesity (17%), osteoarthritis (17%) and chronic low back pain (17%). Eighty-three percent require hospitalization. Twenty-eight percent had abnormal liver tests and one patient had positive hepatitis B core antibody. Opioids used were: morphine(14%), codeine (43%), tramadol (42%).ConclusionThese results emphasize on the misuse of prescription opioids analgesics, the complexity of patients with OUD and the prevalence of other substance use disorder that precedes and accompany OUD.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2020 ◽  
pp. 003335492096880
Author(s):  
Rachel A. Hoopsick ◽  
Gregory G. Homish ◽  
Kenneth E. Leonard

Objectives The types of opioids abused in the United States have changed from prescription opioids to heroin to fentanyl. However, the types of opioids abused may differ by demographic factors, especially among middle-aged adults. We examined national trends in opioid overdose mortality rates among middle-aged adults by race/ethnicity and sex. Methods Using 1999-2018 data from the Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research database, we examined overdose mortality rates per 100 000 population in 2018 among adults aged 45-64 that involved natural and semisynthetic opioids, heroin, synthetic opioids (excluding methadone), and methadone. We tested for significant differences in mortality rates by race/ethnicity and sex. We plotted drug-specific trends by race/ethnicity and sex from 1999 to 2018. Results In 2018, non-Hispanic White adults had the highest rates per 100 000 population of natural and semisynthetic overdose mortality (men: 8.7; women: 7.9; P < .001), and non-Hispanic Black adults had the highest rates of heroin (men: 17.7; women: 5.4; P < .001) and synthetic opioid (men: 36.0; women: 11.2; P < .001) overdose mortality. Men had significantly higher overdose mortality rates than women did for deaths involving natural and semisynthetic opioids, heroin, and synthetic opioids, but not methadone. From 1999 to 2018, mortality rates increased sharply for heroin and synthetic opioids, increased modestly for natural and semisynthetic opioids, and decreased for methadone. The greatest increases were among non-Hispanic Black men for heroin overdose (3.3 in 1999 to 17.7 in 2018) and synthetic opioid overdose (0.1 in 1999 to 36.0 in 2018). Conclusions Policy making should consider unique subgroup risks and alternative trajectories of opioid use other than people being prescribed opioids, developing opioid use disorder, subsequently moving to heroin, and then to fentanyl.


2010 ◽  
Vol 12 (2) ◽  
pp. 86-98
Author(s):  
Jeanne M. Stolzer

Over the past decade, maternal antidepressant use has skyrocketed in the United States. Maternal depression, which was once categorized as an extremely rare condition, is now the leading cause of disability in American women aged 18 to 44 (Stewart, 2005). In spite of the published data that document the risks associated with antidepressant use in maternal and pediatric populations, physicians throughout the United States continue to prescribe these drugs to pregnant and lactating women. Never before in the history of humankind have we witnessed the intentional drugging of pregnant women and nursing mothers in order to alleviate specific emotional feelings. This unprecedented drugging of maternal populations has led many in the scientific community to question the reliability of current-day depression assessments, as many scholars have pointed out that the available assessment tools are highly subjective and lack scientific validity. The goal of this article is to offer a scientifically sound alternative to the current medical model’s definition and treatment of maternal depression and to explore the historical, neurological, hormonal, familial, political, economical, and cultural correlates that have been associated with maternal depression in the United States.


2021 ◽  
Vol 12 ◽  
Author(s):  
Walter C. Prozialeck ◽  
Peter C. Lamar ◽  
Michael Krupp ◽  
Matthew Moon ◽  
Laura E. Phelps ◽  
...  

Kratom (Mitragyna speciosa, Korth.) is an evergreen tree that is indigenous to Southeast Asia. When ingested, kratom leaves or decoctions from the leaves have been reported to produce complex stimulant and opioid-like effects. For generations, native populations in Southeast Asia have used kratom products to stave off fatigue, improve mood, alleviate pain and manage symptoms of opioid withdrawal. Despite the long history of kratom use in Asia, it is only within the past 10–20 years that kratom has emerged as an important herbal agent in the United States, where it is being used for the self-treatment of pain, opioid withdrawal symptoms, and mood disorders. The increase in the use of kratom in the United States has coincided with the serious epidemic of opioid abuse and dependence. Since 2015, efforts to restrict access to prescription opioids have resulted in a marked increase in the use of “street” opioids such as heroin and illicit fentanyl. At the same time, many patients with chronic pain conditions or opioid use disorder have been denied access to appropriate medical help. The lack of access to care for patients with chronic pain and opioid use disorder has been magnified by the emergence of the COVID-19 pandemic. In this report, we highlight how these converging factors have led to a surge in interest in kratom as a potential harm reduction agent in the treatment of pain and opioid use disorder.


2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv13-iv17
Author(s):  
Celia Gregson

Abstract Fragility fractures carry high health and social care costs for patients, families, and health systems. Falls are a fundamental risk factor for sustaining a fragility fracture, and hence fracture risk assessment is an intrinsic component of any falls evaluation. I will review the relationship between falls and incident fracture and outline strategies for assessing fracture risk. I will review the different fracture risk assessment tools available, including FRAX. I will discuss approaches to fracture risk assessment in the context of falls. Sarcopenia is an important risk factors for falls. Recently the European Working Group on Sarcopenia in Older People (EWGSOP) updated their diagnostic criteria for sarcopenia, placing a greater emphasis on muscle strength and physical performance. Whilst measures of muscle mass may not add to the clinical prediction of fractures over an above a tool such as FRAX, I will discuss the value of tests of muscle function, impairment of which characterises sarcopenia, in the prediction of fracture risk. I will further present data on patient’s own perception of fracture risk and how this might be influenced by a history of falls.


2020 ◽  
pp. 121-138
Author(s):  
Yngvild Olsen ◽  
Anika A. H. Alvanzo ◽  
Jarratt D. Pytell

Substance use disorders (SUDs) are a significant cause of morbidity and mortality in the United States. In spite of the significant public health impacts of SUDs, medications approved by the US Food and Drug Administration (FDA) are underutilized for the treatment of SUDs. This chapter reviews the history of FDA-approved medications for alcohol, nicotine, and opioid use disorders and provides some background on barriers to use of these medications to treat patients with SUDs. Suggestions are provided to guide clinicians on a path forward to reduce these barriers and increase the use of FDA-approved medications for the treatment of SUDs.


2019 ◽  
Vol 20 (19) ◽  
pp. 4873 ◽  
Author(s):  
Murray ◽  
Coleman

Long-term exposure to a diabetic environment leads to changes in bone metabolism and impaired bone micro-architecture through a variety of mechanisms on molecular and structural levels. These changes predispose the bone to an increased fracture risk and impaired osseus healing. In a clinical practice, adequate control of diabetes mellitus is essential for preventing detrimental effects on bone health. Alternative fracture risk assessment tools may be needed to accurately determine fracture risk in patients living with diabetes mellitus. Currently, there is no conclusive model explaining the mechanism of action of diabetes mellitus on bone health, particularly in view of progenitor cells. In this review, the best available literature on the impact of diabetes mellitus on bone health in vitro and in vivo is summarised with an emphasis on future translational research opportunities in this field.


2014 ◽  
Vol 120 (5) ◽  
pp. 1216-1224 ◽  
Author(s):  
Brian T. Bateman ◽  
Sonia Hernandez-Diaz ◽  
James P. Rathmell ◽  
John D. Seeger ◽  
Michael Doherty ◽  
...  

Abstract Background: There are few data regarding the utilization of opioids during pregnancy. The objective of this study was to define the prevalence and patterns of opioid use in a large cohort of pregnant women who were commercial insurance beneficiaries. Methods: Data for the study were derived from a deidentified research database of women from across the United States who had both medical and prescription benefits. By using diagnostic codes, the authors defined a cohort of 534,500 women with completed pregnancies who were enrolled in a commercial insurance plan from 6 months before pregnancy through delivery. Results: Overall, 76,742 women (14.4%) were dispensed an opioid at some point during pregnancy. There were 30,566 women (5.7%) dispensed an opioid during the first trimester, 30,434 women (5.7%) during the second trimester, and 34,906 women (6.5%) during the third trimester. Of these, 11,747 women (2.2%) were dispensed opioids three or more times during pregnancy. The most commonly dispensed opioids during pregnancy were hydrocodone (6.8%), codeine (6.1%), and oxycodone (2.0%). The prevalence of exposure at anytime during pregnancy decreased slightly during the study period from 14.9% for pregnancies that delivered in 2005 to 12.9% in 2011. The prevalence of exposure varied significantly by region and was lowest in the Northeast and highest in the South. Conclusions: This study demonstrates that opioids are very common exposures during pregnancy. Given the small and inconsistent body of literature on their safety in pregnancy, these findings suggest a need for research in this area.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2470-2470 ◽  
Author(s):  
Christopher M Sande ◽  
Amanda B Payne ◽  
Christine L Kempton ◽  
Marilyn J Manco-Johnson ◽  
Anjali Sharathkumar

Abstract Background: Development of inhibitory alloantibodies, commonly known as "inhibitors," against exogenously infused factor VIII (FVIII) is the most significant complication of hemophilia therapy. The aim of this study was to understand the epidemiology of inhibitors in persons with severe hemophilia A (PWHA) in the United States using a national database, the Community Counts Registry for Bleeding Disorders Surveillance. Methods: The Community Counts Registry collects detailed medical information on patients with bleeding disorders who receive treatment within the US Hemophilia Treatment Center Network (USHTCN). Patients with severe hemophilia A with (PWHA-I) and without an inhibitor (PWHA-NI) enrolled in the registry between 12/1/2013 and 7/9/2018 were included in this cross-sectional exploratory analysis. PWHA designated as having an unknown history of inhibitor were excluded. Data elements included basic demographics (age, sex/gender, race, ethnicity, employment, insurance status), clinical characteristics (age of diagnosis, treatment characteristics), inhibitor characteristics (age at detection, inhibitor-specific treatments, titers, status), and outcome data (bleeding events, joint disease and procedures, intracranial hemorrhage, ED visits, hospitalizations, chronic pain, opioid use, and days missed from school/work). Data were categorized with reported frequencies, and comparisons between PWHA-I and PWHA-NI were made using Chi-square tests. Results: Of 4375 patients with severe hemophilia A, 1142 (26.1%) had a reported history of inhibitor. Among the cohort were 13 (0.30%) female and 7 (0.16%) transgender patients. PWHA-I and PWHA-NI were similarly distributed among sex/gender categories. PWHA-I were more frequently Hispanic, Latino/a, or Spanish origin or black or African American and less frequently white. Nearly all patients were insured, although PWHA-I more frequently utilized public insurance as opposed to commercial insurance as primary insurance, which may align with the lower rate of employment among PWHA-I (Table 1). PWHA-I more frequently reported a history of intracranial hemorrhage. Notably, no association was identified between inhibitor history and history of joint bleed, history of invasive joint procedure, or limitations of activity level at the time of assessment. During the 12 months prior to assessment, a lower percentage of PWHA-I reported hemophilia-related chronic pain, but those PWHA-I with chronic pain reported opioid use at a modestly increased rate. PWHA-I were more frequently seen in the emergency department and hospitalized than PWHA-NI during the 12 months prior to reporting, and PWHA-I reported more days missed from work or school (Table 1). Within the PWHA-I cohort, 45.7% of patients had inhibitors detected prior to age 2 years. The majority (64.8%) of PWHA-I had a history of immune tolerance induction and 56.3% reported using routine doses of FVIII concentrates to treat bleeding events. Bypassing agents and increased FVIII concentrates were each used for ~20% of PWHA-I (Table 2). Conclusions: This study provides an estimate of the burden of inhibitors in persons with severe hemophilia A in the US, representing approximately 52.9% of all severe hemophilia A patients treated in the USHTCN (CDC, unpublished data). History of an inhibitor reduced patient productivity and increased ED and hospital utilization. Future efforts will focus on a longitudinal analysis of this cohort to better understand the natural history and outcome of inhibitors and their impact on patient quality of life and health care utilization. Acknowledgments: This study was performed with the advice of the Community Counts Inhibitor Interest Group and was supported by funds from an ASH HONORS Award for Mr. Sande. Disclosures Payne: Shire: Other: treatment product donation; Genentech: Membership on an entity's Board of Directors or advisory committees; Bayer: Other: treatment product donation; Bioverativ: Other: treatment product donation; Novo Nordisk: Other: treatment product donation. Kempton:Novo Nordisk: Research Funding; Genetech, Inc: Honoraria, Research Funding; Shire: Honoraria; Bayer AG: Honoraria; Spark Therapeutics: Honoraria; Grifols: Honoraria; Catalyst Biosciences: Honoraria. Manco-Johnson:CSL Behring: Honoraria; Novo Nordisk: Honoraria; Biogentek: Honoraria; Bayer AG: Honoraria, Research Funding; Baxalta, now part of Shire: Honoraria. Sharathkumar:CSL Behring: Honoraria; Shire: Honoraria; Bayer: Honoraria.


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