scholarly journals Laws Mandating Coprescription of Naloxone and Their Impact on Naloxone Prescription in Five US States, 2014–2018

2020 ◽  
Vol 110 (6) ◽  
pp. 881-887 ◽  
Author(s):  
Traci C. Green ◽  
Corey Davis ◽  
Ziming Xuan ◽  
Alexander Y. Walley ◽  
Jeffrey Bratberg
Keyword(s):  
Rhode Island ◽  
Linear Models ◽  
Us States ◽  
Standing Order ◽  
Life Saving ◽  
Increased Risk ◽  
Before And After ◽  
Using Data ◽  
Pharmacy Chain

Objectives. To examine early impacts of laws that require naloxone to be prescribed to patients at increased overdose risk. Methods. Using data from 2014 to 2018 from a large pharmacy chain, CVS Pharmacy, we examined the effects of naloxone-prescribing mandates 90 days before and after they took effect in Arizona, Florida, Rhode Island, Vermont, and Virginia. We compared the number of naloxone doses initiated directly by prescribers and by pharmacy standing order, prescriber specialty, pharmacies dispensing, and payor type by applying linear models and the χ2 test. Results. Naloxone-prescribing mandates increased pharmacy naloxone provision 255% from 90 days before to after implementation. This approach appeared to engage more prescribers (1028 before to 4285 after), complement ongoing naloxone provision under pharmacy standing orders, expand geographic reach (from 40% to 80% of pharmacies dispensing), and broaden the naloxone payor mix in 4 (P < .05) of 5 states. Conclusions. Mandating the prescribing of naloxone quickly expands access to this life-saving medication for more people in more places. Other states should consider mandating the coprescription of naloxone to individuals at increased risk of overdose.

scholarly journals Shrinking a large dataset to identify variables associated with increased risk of Plasmodium falciparum infection in Western Kenya

2015 ◽  
Vol 143 (16) ◽  
pp. 3538-3545 ◽  
Author(s):  
M. TREMBLAY ◽  
J. S. DAHM ◽  
C. N. WAMAE ◽  
W. A. DE GLANVILLE ◽  
E. M. FÈVRE ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Linear Models ◽  
Principal Component ◽  
Large Datasets ◽  
Single Step ◽  
Large Dataset ◽  
Western Kenya ◽  
The People ◽  
Increased Risk ◽  
Using Data

SUMMARYLarge datasets are often not amenable to analysis using traditional single-step approaches. Here, our general objective was to apply imputation techniques, principal component analysis (PCA), elastic net and generalized linear models to a large dataset in a systematic approach to extract the most meaningful predictors for a health outcome. We extracted predictors for Plasmodium falciparum infection, from a large covariate dataset while facing limited numbers of observations, using data from the People, Animals, and their Zoonoses (PAZ) project to demonstrate these techniques: data collected from 415 homesteads in western Kenya, contained over 1500 variables that describe the health, environment, and social factors of the humans, livestock, and the homesteads in which they reside. The wide, sparse dataset was simplified to 42 predictors of P. falciparum malaria infection and wealth rankings were produced for all homesteads. The 42 predictors make biological sense and are supported by previous studies. This systematic data-mining approach we used would make many large datasets more manageable and informative for decision-making processes and health policy prioritization.

Family History of Diabetes Is Associated with Increased Risk of Recurrent DKA in Pediatric Patients in Rhode Island

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1378-P
Author(s):  
JANAKI D. VAKHARIA ◽  
SUNGEETA AGRAWAL ◽  
JANINE BACIC ◽  
LISA S. TOPOR
Keyword(s):  
Family History ◽  
Rhode Island ◽  
Pediatric Patients ◽  
Family History Of Diabetes ◽  
Increased Risk ◽  
History Of

Sibling Alcohol Use Disorder Is Associated With Increased Risk for Suicide Attempt

2021 ◽  
pp. 216770262110250
Author(s):  
Mallory E. Stephenson ◽  
Sara Larsson Lönn ◽  
Jessica E. Salvatore ◽  
Jan Sundquist ◽  
Kenneth S. Kendler ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Suicide Attempt ◽  
Alcohol Use Disorder ◽  
Cox Regression ◽  
Population Based ◽  
Swedish Population ◽  
Sibling Pairs ◽  
Increased Risk ◽  
Using Data ◽  
Shared Genetic

The association between having a sibling diagnosed with alcohol use disorder (AUD) and risk for suicide attempt may be attributable to shared genetic liability between AUD and suicidal behavior, effects of environmental exposure to a sibling’s AUD, or both. To distinguish between these alternatives, we conducted a series of Cox regression models using data derived from Swedish population-based registers with national coverage. Among full sibling pairs (656,807 males and 607,096 females), we found that, even after we accounted for the proband’s AUD status, the proband’s risk for suicide attempt was significantly elevated when the proband’s sibling was affected by AUD. Furthermore, the proband’s risk for suicide attempt was consistently higher when the sibling’s AUD registration had occurred more recently. Our findings provide evidence for exposure to sibling AUD as an environmental risk factor for suicide attempt and suggest that clinical outreach may be warranted following a sibling’s diagnosis with AUD.

scholarly journals Comparing Patient Characteristics, Clinical Outcomes, and Biomarkers of Severe Asthma Patients in Taiwan

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 764
Author(s):  
Shih-Lung Cheng ◽  
Kuo-Chin Chiu ◽  
Hsin-Kuo Ko ◽  
Diahn-Warng Perng ◽  
Hao-Chien Wang ◽  
...  
Keyword(s):  
Severe Asthma ◽  
Clinical Characteristics ◽  
Linear Models ◽  
Patient Characteristics ◽  
Emergency Department Visits ◽  
Receiver Operating Characteristic Curves ◽  
Increased Risk ◽  
Significant Difference ◽  
Asthma Patients ◽  
Patients At Risk

Purpose: To understand the association between biomarkers and exacerbations of severe asthma in adult patients in Taiwan. Materials and Methods: Demographic, clinical characteristics and biomarkers were retrospectively collected from the medical charts of severe asthma patients in six hospitals in Taiwan. Exacerbations were defined as those requiring asthma-specific emergency department visits/hospitalizations, or systemic steroids. Enrolled patients were divided into: (1) those with no exacerbations (non-exacerbators) and (2) those with one or more exacerbations (exacerbators). Receiver operating characteristic curves were used to determine the optimal cut-off value for biomarkers. Generalized linear models evaluated the association between exacerbation and biomarkers. Results: 132 patients were enrolled in the study with 80 non-exacerbators and 52 exacerbators. There was no significant difference in demographic and clinical characteristics between the two groups. Exacerbators had significantly higher eosinophils (EOS) counts (367.8 ± 357.18 vs. 210.05 ± 175.24, p = 0.0043) compared to non-exacerbators. The optimal cut-off values were 292 for EOS counts and 19 for the Fractional exhaled Nitric Oxide (FeNO) measure. Patients with an EOS count ≥ 300 (RR = 1.88; 95% CI, 1.26–2.81; p = 0.002) or FeNO measure ≥ 20 (RR = 2.10; 95% CI, 1.05–4.18; p = 0.0356) had a significantly higher risk of exacerbation. Moreover, patients with both an EOS count ≥ 300 and FeNO measure ≥ 20 had a significantly higher risk of exacerbation than those with lower EOS count or lower FeNO measure (RR = 2.16; 95% CI, 1.47–3.18; p = < 0.0001). Conclusions: Higher EOS counts and FeNO measures were associated with increased risk of exacerbation. These biomarkers may help physicians identify patients at risk of exacerbations and personalize treatment for asthma patients.

Prognostic role of Krebs von den Lungen-6 (KL-6) measurement in idiopathic pulmonary fibrosis: a systematic review and meta-analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Elena Aloisio ◽  
Federica Braga ◽  
Chiara Puricelli ◽  
Mauro Panteghini
Keyword(s):  
Systematic Review ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Binary Data ◽  
Meta Analysis ◽  
Mortality Prediction ◽  
Asian Populations ◽  
Increased Risk ◽  
Using Data ◽  
Patient Prognosis

Abstract Objectives Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial disease with limited therapeutic options. The measurement of Krebs von den Lungen-6 (KL-6) glycoprotein has been proposed for evaluating the risk of IPF progression and predicting patient prognosis, but the robustness of available evidence is unclear. Methods We searched Medline and Embase databases for peer-reviewed literature from inception to April 2020. Original articles investigating KL-6 as prognostic marker for IPF were retrieved. Considered outcomes were the risk of developing acute exacerbation (AE) and patient survival. Meta-analysis of selected studies was conducted, and quantitative data were uniformed as odds ratio (OR) or hazard ratio (HR) estimates, with corresponding 95% confidence intervals (CI). Results Twenty-six studies were included in the systematic review and 14 were finally meta-analysed. For AE development, the pooled OR (seven studies) for KL-6 was 2.72 (CI 1.22–6.06; p=0.015). However, a high degree of heterogeneity (I2=85.6%) was found among selected studies. Using data from three studies reporting binary data, a pooled sensitivity of 72% (CI 60–82%) and a specificity of 60% (CI 52–68%) were found for KL-6 measurement in detecting insurgence of AE in IPF patients. Pooled HR (seven studies) for mortality prediction was 1.009 (CI 0.983–1.036; p=0.505). Conclusions Although our meta-analysis suggested that IPF patients with increased KL-6 concentrations had a significant increased risk of developing AE, the detection power of the evaluated biomarker is limited. Furthermore, no relationship between biomarker concentrations and mortality was found. Caution is also needed when extending obtained results to non-Asian populations.

scholarly journals Kidney Injury Caused by Preeclamptic Pregnancy Recovers Postpartum in a Transgenic Rat Model

2021 ◽  
Vol 22 (7) ◽  
pp. 3762
Author(s):  
Sarah M. Kedziora ◽  
Kristin Kräker ◽  
Lajos Markó ◽  
Julia Binder ◽  
Meryam Sugulle ◽  
...  
Keyword(s):  
Rat Model ◽  
Renal Damage ◽  
Kidney Injury ◽  
Tissue Growth ◽  
Female Rats ◽  
Male Rats ◽  
Renal Diseases ◽  
Transgenic Rat ◽  
Increased Risk ◽  
Before And After

Preeclampsia (PE) is characterized by the onset of hypertension (≥140/90 mmHg) and presence of proteinuria (>300 mg/L/24 h urine) or other maternal organ dysfunctions. During human PE, renal injuries have been observed. Some studies suggest that women with PE diagnosis have an increased risk to develop renal diseases later in life. However, in human studies PE as a single cause of this development cannot be investigated. Here, we aimed to investigate the effect of PE on postpartum renal damage in an established transgenic PE rat model. Female rats harboring the human-angiotensinogen gene develop a preeclamptic phenotype after mating with male rats harboring the human-renin gene, but are normotensive before and after pregnancy. During pregnancy PE rats developed mild tubular and glomerular changes assessed by histologic analysis, increased gene expression of renal damage markers such as kidney injury marker 1 and connective-tissue growth factor, and albuminuria compared to female wild-type rats (WT). However, four weeks postpartum, most PE-related renal pathologies were absent, including albuminuria and elevated biomarker expression. Only mild enlargement of the glomerular tuft could be detected. Overall, the glomerular and tubular function were affected during pregnancy in the transgenic PE rat. However, almost all these pathologies observed during PE recovered postpartum.

How Collective-Action Failure Shapes Group Heterogeneity and Engagement in Conventional and Radical Action Over Time

2021 ◽  
pp. 095679762097056
Author(s):  
Morgana Lizzio-Wilson ◽  
Emma F. Thomas ◽  
Winnifred R. Louis ◽  
Brittany Wilcockson ◽  
Catherine E. Amiot ◽  
...  
Keyword(s):  
Social Movements ◽  
Collective Action ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Social Identification ◽  
Future Research ◽  
Group Efficacy ◽  
Before And After ◽  
Using Data ◽  
Over Time

Extensive research has identified factors influencing collective-action participation. However, less is known about how collective-action outcomes (i.e., success and failure) shape engagement in social movements over time. Using data collected before and after the 2017 marriage-equality debate in Australia, we conducted a latent profile analysis that indicated that success unified supporters of change ( n = 420), whereas failure created subgroups among opponents ( n = 419), reflecting four divergent responses: disengagement (resigned acceptors), moderate disengagement and continued investment (moderates), and renewed commitment to the cause using similar strategies (stay-the-course opponents) or new strategies (innovators). Resigned acceptors were least inclined to act following failure, whereas innovators were generally more likely to engage in conventional action and justify using radical action relative to the other profiles. These divergent reactions were predicted by differing baseline levels of social identification, group efficacy, and anger. Collective-action outcomes dynamically shape participation in social movements; this is an important direction for future research.

Do the calendar anomalies still exist? Evidence from Indian currency market

2016 ◽  
Vol 42 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Satish Kumar ◽  
Rajesh Pathak
Keyword(s):  
Least Square ◽  
January Effect ◽  
Currency Markets ◽  
Content Type ◽  
Currency Market ◽  
Before And After ◽  
Calendar Anomalies ◽  
Ordinary Least Square Regression ◽  
The 2008 Financial Crisis ◽  
Using Data

Purpose – The purpose of this paper is to examine the presence of the day-of-the-week (DOW) and January effect in the Indian currency market for selected currency pairs; USD-(Indian rupee) INR, EUR-INR, GBP-INR and JPY-INR, from January, 1999 to December, 2014. Design/methodology/approach – Ordinary least square regression analysis is used to examine the presence of DOW and January effect to test the efficiency of the Indian currency market. The sample period is later divided into two sub-periods, that is, pre- and post-2008 to capture the behavior of returns before and after the 2008 financial crisis. Further, the authors also use the non-parametric technique, the Kruskal-Wallis test, to provide robustness check for the results. Findings – The results indicate that the returns during Monday to Wednesday are positive and higher than the returns on Thursday and Friday which show negative returns. The returns during January are found to be higher than the returns during rest of the year. Further, all currencies exhibit significant DOW and January effects in pre-crisis period, however, post-crisis; these effects disappear for all currencies indicating that the markets have become more efficient in the later time. The findings can be further attributed to the increased intervention in the forex markets by the Reserve Bank of India after the crisis. Practical implications – The results have important implications for both traders and investors. The findings suggest that the investors might not be able to earn excess profits by timing their positions in some particular currencies taking the advantage of DOW or January effect which in turn indicates that the currency markets have become more efficient with time. The results are in conformity with those reported for the developed markets. The results might be appealing to the practitioners as well in a way that they can consider the state of financial market for financial decision making. Originality/value – The authors provide the first study to examine the calendar anomalies (DOW and January effect) across a range of emerging currencies using 16 years of data from January, 1999 to December, 2014. To the best of the authors’ knowledge, no study has yet examined these calendar anomalies in the currency markets using data which covers two important periods, pre-2008 and post-2008.

Educational Homogamy Among Married and Unmarried Couples in Europe

2008 ◽  
Vol 30 (1) ◽  
pp. 28-52 ◽  
Author(s):  
Dana Hamplova
Keyword(s):  
Linear Models ◽  
Married Couples ◽  
European Social Survey ◽  
Social Survey ◽  
Educational Homogamy ◽  
Educational Barriers ◽  
Educational Groups ◽  
Institutional Contexts ◽  
Using Data ◽  
Log Linear

In this article, educational homogamy among married and cohabiting couples in selected European countries is examined. Using data from two waves (2002 and 2004) of the European Social Survey, this article compares three cultural and institutional contexts that differ in terms of institutionalization of cohabitation. Evidence from log-linear models yields two main conclusions. First, as cohabitation becomes more common in society, marriage and cohabitation become more similar with respect to partner selection. Second, where married and unmarried unions differ in terms of educational homogamy, married couples have higher odds of overcoming educational barriers (i.e., intermarrying with other educational groups).

scholarly journals POWER LAWS IN REAL ESTATE PRICES DURING BUBBLE PERIODS

2012 ◽  
Vol 16 ◽  
pp. 61-81 ◽  
Author(s):  
TAKAAKI OHNISHI ◽  
TAKAYUKI MIZUNO ◽  
CHIHIRO SHIMIZU ◽  
TSUTOMU WATANABE
Keyword(s):  
Real Estate ◽  
Power Law ◽  
House Price ◽  
Power Laws ◽  
Cross Sectional ◽  
Price Distribution ◽  
Before And After ◽  
Real Estate Prices ◽  
Using Data ◽  
The U.S

How can we detect real estate bubbles? In this paper, we propose making use of information on the cross-sectional dispersion of real estate prices. During bubble periods, prices tend to go up considerably for some properties, but less so for others, so that price inequality across properties increases. In other words, a key characteristic of real estate bubbles is not the rapid price hike itself but a rise in price dispersion. Given this, the purpose of this paper is to examine whether developments in the dispersion in real estate prices can be used to detect bubbles in property markets as they arise, using data from Japan and the U.S. First, we show that the land price distribution in Tokyo had a power-law tail during the bubble period in the late 1980s, while it was very close to a lognormal before and after the bubble period. Second, in the U.S. data we find that the tail of the house price distribution tends to be heavier in those states which experienced a housing bubble. We also provide evidence suggesting that the power-law tail observed during bubble periods arises due to the lack of price arbitrage across regions.

Sign in / Sign up

Export Citation Format

Share Document