scholarly journals Factors associated with treatment satisfaction in patients with rheumatoid arthritis: data from the biological register RABBIT

RMD Open ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e001290
Author(s):  
Martin Schäfer ◽  
Katinka Albrecht ◽  
Jörn Kekow ◽  
Karin Rockwitz ◽  
Anke Liebhaber ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Treatment Satisfaction ◽  
Regression Models ◽  
Treatment Effectiveness ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
The Impact ◽  
Dose Dependent ◽  
Rheumatoid Arthritis Data

ObjectiveTo assess satisfaction with the effectiveness and tolerability of treatments in patients with rheumatoid arthritis (RA).MethodsPatients from the RABBIT register, starting a biological (b) or targeted synthetic (ts) disease-modifying antirheumatic drug (DMARD), or a conventional synthetic (cs)DMARD treatment after ≥1 csDMARD failure, were included. Treatment satisfaction was measured after 1 year of treatment in four categories and binarised for analysis. Logistic regression models were performed to calculate ORs for factors associated with treatment satisfaction.ResultsData of 10 646 patients (74% women, mean 58 years) were analysed. At baseline, 55% of the patients were satisfied with the efficacy and 68% with the tolerability of their previously given treatments. After 1 year, 85% of the patients were satisfied with treatment effectiveness and 90% with tolerability. Baseline satisfaction (OR 2.98, 95% CI 2.58 to 3.44), seropositivity (OR 1.36, 95% CI 1.17 to 1.57), reduction of DAS28 (OR 1.38, 95% CI 1.31 to 1.46) and pain (OR 1.26, 95% CI 1.22 to 1.31), and the improvement of physical capacity (OR 1.22, 95% CI 1.17 to 1.29) were positively associated with treatment satisfaction at follow-up while glucocorticoids (GCs) >5 mg/day, depression, fibromyalgia, obesity, prior bDMARDs and therapy changes were negatively associated. The impact of GC on satisfaction was dose-dependent, becoming strongest for GC >15 mg (OR 0.24, 95% CI 0.16 to 0.34). A 5 mg/day reduction within 12 months was positively associated with satisfaction regarding efficacy (OR 1.19, 95% CI 1.11 to 1.27) and tolerability (OR 1.11, 95% CI 1.03 to 1.21).ConclusionMost patients were satisfied with their treatment’s effectiveness and tolerability after 1 year of treatment. Tapering GCs was positively associated with the improvement of patients’ satisfaction.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals POS1234 IMPACT OF THE CHANGE IN ADMINISTRATION ROUTE OF TOCILIZUMAB AND ABATACEPT, DUE TO THE COVID-19 LOCKDOWN ON DISEASE ACTIVITY IN PATIENTS WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 900.1-900
Author(s):  
L. Diebold ◽  
T. Wirth ◽  
V. Pradel ◽  
N. Balandraud ◽  
E. Fockens ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Disease Activity ◽  
Univariate Analysis ◽  
Route Of Administration ◽  
Anxiety And Depression ◽  
Administration Route ◽  
Factors Associated ◽  
The Impact

Background:Among therapeutics used to treat rheumatoid arthritis (RA), Tocilizumab (TCZ) and Abatacept (ABA) are both biologic agents that can be delivered subcutaneously (SC) or intravenously (IV). During the first COVID-19 lockdown in France, all patients treated with IV TCZ or IV ABA were offered the option to switch to SC administration.Objectives:The primary aim was to assess the impact of changing the route of administration on the disease activity. The second aim was to assess whether the return to IV route at the patient’s request was associated with disease activity variation, flares, anxiety, depression and low physical activity during the lockdown.Methods:We conducted a prospective monocentric observational study. Eligibility criteria: Adult ≥ 18 years old, RA treated with IV TCZ or IV ABA with a stable dose ≥3 months, change in administration route (from IV to SC) between March 16, 2020, and April 17, 2020. The following data were collected at baseline and 6 months later (M6): demographics, RA characteristics, treatment, history of previous SC treatment, disease activity (DAS28), self-administered questionnaires on flares, RA life repercussions, physical activity, anxiety and depression (FLARE, RAID, Ricci &Gagnon, HAD).The primary outcome was the proportion of patients with a DAS28 variation>1.2 at M6. Analyses: Chi2-test for quantitative variables and Mann-Whitney test for qualitative variables. Factors associated with return to IV route identification was performed with univariate and multivariate analysis.Results:Among the 84 patients who were offered to switch their treatment route of administration, 13 refused to change their treatment. Among the 71 who switched (48 TCZ, 23 ABA), 58 had a M6 follow-up visit (13 lost of follow-up) and DAS28 was available for 49 patients at M6. Main baseline characteristics: female 81%, mean age 62.7, mean disease duration: 16.0, ACPA positive: 72.4%, mean DAS28: 2.01, previously treated with SC TCZ or ABA: 17%.At M6, the mean DAS28 variation was 0.18 ± 0.15. Ten (12.2%) patients had a DAS28 worsening>1.2 (ABA: 5/17 [29.4%] and TCZ: 5/32 [15.6%], p= 0.152) and 19 patients (32.8%) had a DAS28 worsening>0.6 (ABA: 11/17 [64.7%] and TCZ: 8/32 [25.0%], p= 0.007).At M6, 41 patients (77.4%) were back to IV route (26 TCZ, 15 ABA) at their request. The proportion of patients with a DAS28 worsening>1.2 and>0.6 in the groups return to IV versus SC maintenance were 22.5%, 42.5% versus 11.1% and 22.2% (p=0.4), respectively. The univariate analysis identified the following factors associated with the return to IV route: HAD depression score (12 vs 41, p=0.009), HAS anxiety score (12 vs 41, p=0.047) and corticosteroid use (70% vs 100%, p=0.021), in the SC maintenance vs return to IV, respectively.Conclusion:The change of administration route of TCZ and ABA during the first COVID-19 lockdown was infrequently associated with a worsening of RA disease. However, the great majority of the patients (77.4%) request to return to IV route, even without disease activity worsening. This nocebo effect was associated with higher anxiety and depression scores.Disclosure of Interests:None declared

Revealing Victimization: The Impact of Methodological Features in the National Crime Victimization Survey

2017 ◽  
Vol 32 (4) ◽  
pp. 688-713
Author(s):  
Jennifer Gatewood Owens
Keyword(s):  
Regression Models ◽  
National Crime Victimization Survey ◽  
Crime Victimization ◽  
Cross Sectional ◽  
Victimization Survey ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Victimization Risk ◽  
Willingness To Report ◽  
The Impact

This study examines the impact of methodological features of the National Crime Victimization Survey (NCVS) on respondent willingness to report violent, serious violent, and property victimizations to the NCVS. Bounded and unbounded data from the 1999–2005 NCVS are used to create a longitudinal file of respondents, and survey-weighted logistic regression models are used to assess the factors associated with the reporting of victimization. Net of sociodemographic control variables, unbounded interviews produced higher estimates of serious violence (72%), violence (66%), and property victimization (67%). Mobile respondents reported higher estimates than nonmobile respondents of serious violence (48%), violence (35%), and property victimization (15%). Compared with in-person interviews, interviewing by telephone increased reporting for serious violence (7%), violence (12%), and property victimization (17%). This study highlights the importance of controlling for these factors in both longitudinal and cross-sectional analyses to estimate victimization risk.

Impact of a Temporary NRT Enhancement in a State Quitline and Web-Based Program

2016 ◽  
Vol 32 (5) ◽  
pp. 1206-1213 ◽  
Author(s):  
Sam Cole ◽  
Casey Suter ◽  
Chelsea Nash ◽  
Joseph Pollard
Keyword(s):  
Regression Models ◽  
Clinical Effectiveness ◽  
Data Set ◽  
Web Based ◽  
Logistic Regression Models ◽  
Program Type ◽  
Minimal Data ◽  
Intent To Treat ◽  
The Impact

Purpose: To examine the impact of a nicotine replacement therapy (NRT) enhancement on quit outcomes. Design: Observational study using an intent to treat as treated analysis. Setting: Not available. Participants: A total of 4022 Idaho tobacco users aged ≥18 years who received services from the Idaho Tobacco Quitline or Idaho’s web-based program. Intervention: One-call phone or web-based participants were sent a single 4- or 8-week NRT shipment. Multiple-call participants were sent NRT in a single 4-week shipment or two 4-week shipments (second shipment sent only to those completing a second coaching call). Measures: North American Quitline Consortium recommended Minimal Data Set items collected at registration and follow-up. Thirty-day point prevalence quit rates were assessed at 7-month follow-up. Analysis: Multiple logistic regression models were used to examine the effects of program type and amount of NRT sent to participants while controlling for demographic and tobacco use characteristics. Results: Abstinence rates were significantly higher among 8-week versus 4-week NRT recipients (42.5% vs 33.3%). The effect was only significant between multiple-call program participants who received both 4-week NRT shipments versus only the first of 2 possible 4-week shipments (51.1% vs 31.1%). Costs per quit were lowest among web-based participants who received 4 weeks of NRT (US$183 per quit) and highest among multiple-call participants who received only 1 of 2 possible NRT shipments (US$557 per quit). Conclusion: To better balance cost with clinical effectiveness, funders of state-based tobacco cessation services may want to consider (1) allowing tobacco users to choose between phone- and web-based programs while (2) limiting longer NRT benefits only to multiple-call program participants.

scholarly journals INFLUENCE OF HOSPITALIZATION UPON DIAGNOSIS ON THE RISK OF TUBERCULOSIS CLUSTERING

2013 ◽  
Vol 5 (1) ◽  
pp. e2013071 ◽  
Author(s):  
Giuseppe Lapadula ◽  
Fabio Zanini ◽  
Luigi Codecasa
Keyword(s):  
Regression Models ◽  
Fragment Length Polymorphism ◽  
Multivariable Analysis ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Short Course ◽  
Mdr Tb ◽  
The Impact ◽  
Culture Positive ◽  
Design Restriction

Setting: Culture-positive tuberculosis (TB) diagnosed in the metropolitan area of Milan (Italy) over a 5-year period (1995-1999). Objective: To assess the impact of short-course hospitalization upon diagnosis on the overall risk of TB clusterization. Design: Restriction fragment length polymorphism profiles with a similarity of 100% defined a cluster. Uni- and multivariable logistic regression models were performed to assess factors associated with clusterization. Results: Among 1139 patients, 392 (34.4%) were hospitalized before or soon after diagnosis, 405 (35.6%) received domiciliary treatment since the diagnosis and 392 (30%) had no information about initial clinical management. One hundred fifteen molecular clusters involving 363 patients were identified. Using multivariable analysis, hospitalization was not significantly associated with clusterization (OR 1.06, 95%CI 0.75-1.50, p=0.575). Subjects aged >65 years old (OR 0.60; 95CI%:0.37-0.95; p=0.016) and non-Italian born patients (OR 0.56; 95%CI:0.41-0.76; p<0.001) were running a lower risk of clusterization. Conversely, HIV co-infected patients (OR 1.88, 95%CI:1.20-2.95, p=0.006) and those with MDR TB (OR 2.50, 95%CI:1.46-4.25, p=0.001) were significantly more likely to be involved in clusters. Conclusion: In our cohort, domiciliary treatment was not associated with TB clusterization. Expanding domiciliary treatment upon diagnosis appears as an advisable measure to reduce unnecessary costs for the health care system.

scholarly journals Explaining prosecution outcomes for cryptocurrency-based financial crimes

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arianna Trozze ◽  
Toby Davies ◽  
Bennett Kleinberg
Keyword(s):  
Decision Making ◽  
Regression Models ◽  
Design Methodology ◽  
Financial Crime ◽  
Content Type ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Financial Crimes ◽  
The Usa ◽  
The Impact

Purpose Cryptocurrencies have been used to commit various offences, but enforcement efforts remain underdeveloped relative to the value of these crimes. This paper aims to examine factors associated with outcomes of US-based cryptocurrency financial crime prosecutions. Design/methodology/approach The authors studied the 37 resolved cryptocurrency-based financial crime cases in the USA to date, exploring the impact of offence, defendant and evidence characteristics on the mode of disposition and penalties. The authors used bivariate analyses and logistic regression models to determine relationships among these variables. Findings The presence of individual defendants only (rather than a corporate defendant or combination thereof) and the use of only a cryptocurrency other than Bitcoin in committing a crime each made a case less likely to be resolved by dismissal, trial or summary or default judgement. Originality/value This paper is the first to examine variables contributing to financial crime prosecution outcomes and has implications for prosecutorial decision-making, resource allocation and the prevention and detection of financial offences involving cryptocurrencies.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

scholarly journals Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

2020 ◽  
Author(s):  
Kosuke Inoue ◽  
Roch Nianogo ◽  
Donatello Telesca ◽  
Atsushi Goto ◽  
Vahe Khachadourian ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Machine Learning Algorithms ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Increased Risk ◽  
The Us ◽  
All Cause Mortality ◽  
Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to &lt;5.0%; mid-level, 5.0 to &lt;5.7%; prediabetes, 5.7 to &lt;6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

scholarly journals POS0517 A LONGITUDINAL STUDY OF SARCOPENIA, LOCOMOTIVE SYNDROME, AND FRAILTY IN PATIENTS WITH RHEUMATOID ARTHRITIS: FROM THE CHIKARA STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 492.2-492
Author(s):  
K. Mandai ◽  
M. Tada ◽  
Y. Yamada ◽  
T. Koike ◽  
T. Okano ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Multivariate Logistic Regression Analysis ◽  
Locomotive Syndrome ◽  
Chi Squared ◽  
Higher Doses ◽  
Rheumatoid Arthritis Data ◽  
Onset Rate ◽  
New Onset

Background:Rheumatoid arthritis (RA) patients have a high frequency of sarcopenia, and they commonly have reduced physical function. We previously reported that the prevalence of sarcopenia was 28%, that of frailty was 18.9%, and that of pre-frailty was 38.9% in RA patients1,2, and 13.2% of RA patients developed sarcopenia within a year 3.Objectives:To investigate the risk factors for new onset of sarcopenia, locomotive syndrome, and frailty in patients with RA and the course of each disease.Methods:Two-year follow-up data from the rural group of the prospective, observational CHIKARA study were used. Sarcopenia was diagnosed using the criteria of the Asian Working Group for Sarcopenia 2014, locomotive syndrome was diagnosed using locomotive 5, and frailty was diagnosed using the basic checklist. New onset of the disease over the 2-year follow-up period was studied, excluding cases that had the disease at baseline. Improvement was defined as cases with disease at baseline that no longer met the diagnostic criteria after 2 years. Differences in the characteristics of each disease were tested using the Chi-squared test and the paired t-test.Results:The 81 patients with RA (82.7% female) had mean age 66.9±11.5 years, mean DAS28-ESR 2.9±1.2, methotrexate use in 81.5% (with a dose of 9.9±2.7 mg/week), and glucocorticoid (GC) use in 22.2% (with a dose of 3.1±1.7 mg/week). The baseline prevalence was 44.4% for sarcopenia, 35.8% for locomotive syndrome, and 25.9% for frailty, and the new onset rate was 4.4% for sarcopenia, 15.4% for locomotive syndrome, and 13.3% for frailty. Of the patients with each disease at baseline, 36.1% had sarcopenia, 20.7% had locomotive syndrome, and 33.3% had frailty, and of those with each disease at 2 years, 36.1% had sarcopenia, 20.7% had locomotive syndrome, and 33.3% had frailty. The new onset sarcopenia and locomotive syndrome groups had significantly higher rates of GC use (p=0.036, p=0.007, paired t-test) and significantly higher doses (p=0.01, p=0.001, paired t-test) than the groups without new onset sarcopenia and locomotive syndrome. High baseline disease activity was an independent predictor of new onset of locomotive syndrome on multivariate logistic regression analysis (OR=3.21, p=0.015).Conclusion:The new onset rates at 2 years were 4.4% for sarcopenia, 15.4% for locomotive syndrome, and 13.3% for frailty. In the new onset sarcopenia and locomotive syndrome groups, both GC use and dosage were significantly higher.References:[1]Tada M, et al. Matrix metalloprotease 3 is associated with sarcopenia in rheumatoid arthritis - results from the CHIKARA study. Int J Rheum Dis. 2018 Nov;21(11):1962-1969.[2]Tada M, et al. Correlation between frailty and disease activity in patients with rheumatoid arthritis: Data from the CHIKARA study. Geriatr Gerontol Int. 2019 Dec;19(12):1220-1225.[3]Yamada Y, et al. Glucocorticoid use is an independent risk factor for developing sarcopenia in patients with rheumatoid arthritis: from the CHIKARA study. Clin Rheumatol. 2020 Jun;39(6):1757-1764.Disclosure of Interests:None declared

scholarly journals Predictors of chronic opioid therapy in Medicaid beneficiaries with HIV who initiated antiretroviral therapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
GYeon Oh ◽  
Emily S. Brouwer ◽  
Erin L. Abner ◽  
David W. Fardo ◽  
Patricia R. Freeman ◽  
...  
Keyword(s):  
Regression Models ◽  
Opioid Therapy ◽  
Chronic Obstructive ◽  
Chronic Opioid Therapy ◽  
Hepatitis C Infection ◽  
Antipsychotic Therapy ◽  
Obstructive Pulmonary Disease ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Medicaid Beneficiaries

AbstractThe factors associated with chronic opioid therapy (COT) in patients with HIV is understudied. Using Medicaid data (2002–2009), this retrospective cohort study examines COT in beneficiaries with HIV who initiated standard combination anti-retroviral therapy (cART). We used generalized estimating equations on logistic regression models with backward selection to identify significant predictors of COT initiation. COT was initiated among 1014 out of 9615 beneficiaries with HIV (male: 10.4%; female: 10.7%). Those with older age, any malignancy, Hepatitis C infection, back pain, arthritis, neuropathy pain, substance use disorder, polypharmacy, (use of) benzodiazepines, gabapentinoids, antidepressants, and prior opioid therapies were positively associated with COT. In sex-stratified analyses, multiple predictors were shared between male and female beneficiaries; however, chronic obstructive pulmonary disease, liver disease, any malignancy, and antipsychotic therapy were unique to female beneficiaries. Comorbidities and polypharmacy were important predictors of COT in Medicaid beneficiaries with HIV who initiated cART.

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