scholarly journals ACUTE CARE UTILIZATION IN OLDER ADULTS LIVING UNDIAGNOSED OR UNAWARE OF DEMENTIA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S739-S739
Author(s):  
Halima Amjad ◽  
David L Roth ◽  
Jin Huang ◽  
Jennifer L Wolff ◽  
Quincy M Samus
Keyword(s):  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Care Utilization ◽  
Fee For Service ◽  
Dementia Diagnosis ◽  
Medicare Claims ◽  
Cox Proportional Hazards Models ◽  
Acute Care Utilization ◽  
Ed Visits ◽  
Nationally Representative

Abstract Most individuals with dementia are undiagnosed or they/their families are unaware of the diagnosis. Implications of dementia diagnosis and awareness are poorly understood. Our objective was to determine whether undiagnosed dementia or unawareness increases risk of hospitalization or emergency department (ED) visits, outcomes with recognized risk in diagnosed dementia. We linked National Health and Aging Trends Study (NHATS) data to fee-for-service Medicare claims for 4,311 community-living participants in the nationally representative cohort. We assessed probable versus no dementia using validated NHATS dementia criteria, undiagnosed versus diagnosed using Medicare claims, and aware versus unaware using NHATS self or proxy report of diagnosis. Cox proportional hazards models evaluated hospitalization and ED visit risk by time-varying dementia diagnosis and awareness status, adjusting for sociodemographic characteristics, functional impairment, medical comorbidities, and prior hospitalization. Compared to no dementia, persons with dementia who were unaware but diagnosed had greater risk of hospitalization (HR 1.66, 95% CI 1.26-2.19) and ED visits (HR 1.63, 95% CI 1.28-2.08). Persons unaware but diagnosed also had greater risk compared to persons aware and diagnosed (hospitalization HR 1.34, 95% CI 0.98-1.82; ED HR 1.38, 95% CI 1.05-1.83). Persons with undiagnosed dementia demonstrated hospitalization risk similar to persons with no dementia (HR 1.02, 95% CI 0.79-1.31) and similar or potentially lower than persons aware and diagnosed (HR 0.82, 95% CI 0.61-1.10); ED visit findings were similar. Results suggest that being unaware of dementia diagnosis may affect healthcare utilization. Strategies to improve communication and understanding of dementia could potentially reduce hospitalizations and ED visits.

Abstract WP312: The Association of Chronic Kidney Disease (CKD) With 30-day and 1-year Post Ischemic Stroke Mortality and Rehospitalization: Get With the Guidelines (GWTG) Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Nada El Husseini ◽  
Gregg C Fonarow ◽  
Eric E Smith ◽  
Christine Ju ◽  
Lee H Schwamm ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Proportional Hazards ◽  
Reference Group ◽  
Cox Proportional Hazards ◽  
Fee For Service ◽  
Stroke Mortality ◽  
Medicare Beneficiaries ◽  
Cox Proportional Hazards Models ◽  
Ckd Stage

Background: The extent to which CKD is associated with 30-day and 1-year post ischemic stroke mortality and rehospitalization rates has not been well studied. Methods: Data from 232,236 fee for service Medicare patients admitted with ischemic stroke to 1581 AHA GWTG-Stroke participating hospitals between January 2009 and December 2012 were analyzed. Estimated GFR in mL/min/1.73 m2 was determined based on the MDRD study equation categorized as: no CKD (GFR ≥60); stage 3a CKD (GFR 45-59); stage 3b CKD (GFR 30-44); stage 4 CKD, (GFR 15-29); stage 5 CKD (GFR <15 excluding those on dialysis). Dialysis was identified by ICD-9 codes. Multivariable Cox proportional hazards models adjusted for demographics, medical history, NIHSS, arrival hour, and hospital characteristics were used to determine the independent associations of CKD (reference group those without CKD) with mortality and readmission at 30 days and 1 year. Results: After adjustment, 30-days poststroke mortality was highest among those with CKD stage 5 (HR 1.94, 95%CI 1.72-2.18), even after excluding in-hospital mortality and patients discharged to hospice (HR 2.09, 95%CI 1.66-2.63). Unadjusted 1-year mortality and readmission rates were highest among patients on dialysis (Figure). After adjustment, 1-year post-stroke mortality remained highest among patients on dialysis (HR 2.19, 95%CI 2.08-2.31), even after excluding in-hospital mortality and discharge to hospice (HR 2.65, 95%CI 2.49-2.81). For those discharged alive, 30-day and 1-year rehospitalization rates were also highest among patients on dialysis (HR 2.10, 95%CI 1.95-2.26; HR 2.55, 95%CI 2.44-2.66, respectively) as was the 30-day and 1-year composite of mortality and rehospitalization (HR 2.04, 95%CI 1.90-2.18; HR 2.46, 95% CI 2.36-2.56, respectively). Conclusion: Among Medicare beneficiaries with acute ischemic stroke, poststroke mortality and rehospitalization varied by CKD stage and were highest among those with advanced CKD.

scholarly journals Association of Kidney Function With 30-Day and 1-Year Poststroke Mortality and Hospital Readmission

Stroke ◽  
2018 ◽  
Vol 49 (12) ◽  
pp. 2896-2903 ◽  
Author(s):  
Nada El Husseini ◽  
Gregg C. Fonarow ◽  
Eric E. Smith ◽  
Christine Ju ◽  
Shubin Sheng ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Kidney Function ◽  
Hospital Readmission ◽  
Proportional Hazards ◽  
Hospital Readmissions ◽  
Cox Proportional Hazards ◽  
Fee For Service ◽  
Hospital Readmission Rates ◽  
Cox Proportional Hazards Models ◽  
Relevant Variables

Background and Purpose— Kidney dysfunction is common among patients hospitalized for ischemic stroke. Understanding the association of kidney disease with poststroke outcomes is important to properly adjust for case mix in outcome studies, payment models and risk-standardized hospital readmission rates. Methods— In this cohort study of fee-for-service Medicare patients admitted with ischemic stroke to 1579 Get With The Guidelines-Stroke participating hospitals between 2009 and 2014, adjusted multivariable Cox proportional hazards models were used to determine the independent associations of estimated glomerular filtration rate (eGFR) and dialysis status with 30-day and 1-year postdischarge mortality and rehospitalizations. Results— Of 204 652 patients discharged alive (median age [25th–75th percentile] 80 years [73.0–86.0], 57.6% women, 79.8% white), 48.8% had an eGFR ≥60, 26.5% an eGFR 45 to 59, 16.3% an eGFR 30 to 44, 5.1% an eGFR 15 to 29, 0.6% an eGFR <15 without dialysis, and 2.8% were receiving dialysis. Compared with eGFR ≥60, and after adjusting for relevant variables, eGFR <45 was associated with increased 30-day mortality with the risk highest among those with eGFR <15 without dialysis (hazard ratio [HR], 2.09; 95% CI, 1.66–2.63). An eGFR <60 was associated with increased 1-year poststroke mortality that was highest among patients on dialysis (HR, 2.65; 95% CI, 2.49–2.81). Dialysis was also associated with the highest 30-day and 1-year rehospitalization rates (HR, 2.10; 95% CI, 1.95–2.26 and HR, 2.55; 95% CI, 2.44–2.66, respectively) and 30-day and 1-year composite of mortality and rehospitalization (HR, 2.04; 95% CI, 1.90–2.18 and HR, 2.46; 95% CI, 2.36–2.56, respectively). Conclusions— Within the first year after index hospitalization for ischemic stroke, eGFR and dialysis status on admission are associated with poststroke mortality and hospital readmissions. Kidney function should be included in risk-stratification models for poststroke outcomes.

scholarly journals Mortality in people with psychotic disorders in Finland: A population-based 13-year follow-up study

2017 ◽  
Vol 41 (S1) ◽  
pp. s816-s816
Author(s):  
J. Keinänen ◽  
O. Mantere ◽  
N. Markkula ◽  
K. Partti ◽  
J. Perälä ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Psychotic Disorders ◽  
Proportional Hazards ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Related Factors ◽  
Cox Proportional Hazards Models ◽  
Health Related ◽  
Nationally Representative

IntroductionPeople with psychotic disorders have increased mortality compared to the general population. The mortality is mostly due to natural causes and it is disproportionately high compared to the somatic morbidity of people with psychotic disorders.ObjectivesWe aimed to find predictors of mortality in psychotic disorders and to evaluate the extent to which sociodemographic and health-related factors explain the excess mortality.MethodsIn a nationally representative sample of Finns aged 30–70 years (n = 5642), psychotic disorders were diagnosed in 2000–2001. Information on mortality and causes of death was obtained of those who died by the end of year 2013. Cox proportional hazards models were used to investigate the mortality risk.ResultsAdjusting for age and sex, diagnosis of nonaffective psychotic disorder (NAP) (n = 106) was statistically significantly associated with all-cause mortality (HR 2.99, 95% CI 2.03–4.41) and natural-cause mortality (HR 2.81, 95% CI 1.85–4.28). After adjusting for sociodemographic factors, health status, inflammation and smoking, the HR dropped to 2.11 (95% CI 1.10–4.05) for all-cause and to 1.98 (95% CI 0.94–4.16) for natural-cause mortality. Within the NAP group, antipsychotic use at baseline was associated with reduced HR for natural-cause mortality (HR 0.25, 95% CI 0.07–0.96), and smoking with increased HR (HR 3.54, 95% CI 1.07–11.69).ConclusionsThe elevated mortality risk associated with NAP is only partly explained by socioeconomic factors, lifestyle, cardiometabolic comorbidities and inflammation. Smoking cessation should be prioritized in treatment of psychotic disorders. More research is needed on the quality of treatment of somatic conditions in people with psychotic disorders.Disclosure of interestJaakko Keinänen owns shares in pharmaceutical company Orion.

Abstract P048: Risk Factors for Severe Hypoglycemia Differ in Black and White Older Adults With Diabetes: the Atherosclerosis Risk in Communities (ARIC) Study

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Alexandra K Lee ◽  
Bethany Warren ◽  
Clare J Lee ◽  
Elbert S Huang ◽  
A. Richey Sharrett ◽  
...  
Keyword(s):  
Risk Factors ◽  
Proportional Hazards ◽  
Severe Hypoglycemia ◽  
Cox Proportional Hazards ◽  
Emergency Department Visits ◽  
Fee For Service ◽  
Diabetes Medication ◽  
C Statistic ◽  
Cox Proportional Hazards Models ◽  
Blacks And Whites

Introduction: Blacks with diabetes have roughly twice the rate of severe hypoglycemia compared to whites with diabetes; it is unclear whether hypoglycemia risk factors identified in studies of white participants are similarly associated with hypoglycemia in blacks. Methods: We included ARIC participants aged 65+ at Visit 4 (1996-1998) who had Medicare fee-for-service Part B and diagnosed diabetes. We identified severe hypoglycemic events through 2013 using ICD-9 codes from hospitalizations, emergency department visits, and ambulance services. We evaluated previously identified risk factors: age, sex, chronic kidney disease (CKD), diabetes medication use, obesity, cognition, glycemic control, and number of comorbidities. We stratified Cox proportional hazards models by race and used Harrell’s C-statistic to compare discrimination. Results: There were 33 hypoglycemic events in 135 black participants and 43 hypoglycemic events in 319 white participants (incidence rate 2.8 vs. 1.5 per 100 person-years, p<0.01). Most risk factors had similar associations with risk of hypoglycemia in blacks and whites, with some notable exceptions. Obesity was associated with greater risk in blacks but not whites ( Table ). CKD was more strongly associated with risk in blacks than whites. Type of diabetes medication was associated with risk in whites but not in blacks. The C-statistic suggested better model discrimination in whites (C=0.795) than in blacks (C=0.759), but confidence intervals were wide. Conclusion: The direction and strength of risk factors for hypoglycemia may differ for blacks and whites. It is unclear why the relative importance of risk factors for hypoglycemia differ between whites and blacks. These data suggest that the mechanism by which CKD influences hypoglycemia risk may be decreased renal gluconeogenesis in blacks and reduced insulin clearance in whites. Additional research is needed to understand those factors that contribute to hypoglycemia risk in blacks and may underlie health disparities.

scholarly journals The fraction of lung cancer attributable to smoking in the Norwegian Women and Cancer (NOWAC) Study

2020 ◽  
Author(s):  
Merethe S. Hansen ◽  
Idlir Licaj ◽  
Tonje Braaten ◽  
Eiliv Lund ◽  
Inger Torhild Gram
Keyword(s):  
Lung Cancer ◽  
Passive Smoking ◽  
Proportional Hazards ◽  
Population Attributable Fraction ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Nationally Representative ◽  
Never Smokers

Abstract Background We examined the association between active and passive smoking and lung cancer risk and the population attributable fraction (PAF) of lung cancer due to active smoking, in the Norwegian Women and Cancer Study, a nationally representative prospective cohort study. Methods We followed 142,508 women, aged 31–70 years, who completed a baseline questionnaire between 1991 and 2007, through linkages to national registries through December 2015. We used Cox proportional hazards models, to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). We calculated PAF to indicate what proportion of lung cancer cases could have been prevented in the absence of smoking. Results During the more than 2.3 million person-years of observation, we ascertained 1507 lung cancer cases. Compared with never smokers, current (HR 13.88, 95% CI 10.18–18.91) smokers had significantly increased risk of lung cancer. Female never smokers exposed to passive smoking had a 1.3-fold (HR 1.34, 95% CI 0.89–2.01) non- significantly increased risk of lung cancer, compared with never smokers. The PAF of lung cancer was 85.3% (95% CI 80.0–89.2). Conclusion More than 8 in 10 lung cancer cases could have been avoided in Norway, if the women did not smoke.

scholarly journals Associations of Accelerometry-Assessed and Self-Reported Physical Activity and Sedentary Behavior With All-Cause and Cardiovascular Mortality Among US Adults

2016 ◽  
Vol 184 (9) ◽  
pp. 621-632 ◽  
Author(s):  
Kelly R. Evenson ◽  
Fang Wen ◽  
Amy H. Herring
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Sedentary Behavior ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Mortality Data ◽  
Cox Proportional Hazards Models ◽  
Nationally Representative ◽  
Reported Data ◽  
Cvd Mortality

Abstract The US physical activity (PA) recommendations were based primarily on studies in which self-reported data were used. Studies that include accelerometer-assessed PA and sedentary behavior can contribute to these recommendations. In the present study, we explored the associations of PA and sedentary behavior with all-cause and cardiovascular disease (CVD) mortality in a nationally representative sample. Among the 2003–2006 National Health and Nutrition Examination Survey cohort, 3,809 adults 40 years of age or older wore an accelerometer for 1 week and self-reported their PA levels. Mortality data were verified through 2011, with an average of 6.7 years of follow-up. We used Cox proportional hazards models to obtain adjusted hazard ratios and 95% confidence intervals. After excluding the first 2 years, there were 337 deaths (32% or 107 of which were attributable to CVD). Having higher accelerometer-assessed average counts per minute was associated with lower all-cause mortality risk: When compared with the first quartile, the adjusted hazard ratio was 0.37 (95% confidence interval: 0.23, 0.59) for the fourth quartile, 0.39 (95% confidence interval: 0.27, 0.57) for the third quartile, and 0.60 (95% confidence interval: 0.45, 0.80) second quartile. Results were similar for CVD mortality. Lower all-cause and CVD mortality risks were also generally observed for persons with higher accelerometer-assessed moderate and moderate-to-vigorous PA levels and for self-reported moderate-to-vigorous leisure, household and total activities, as well as for meeting PA recommendations. Accelerometer-assessed sedentary behavior was generally not associated with all-cause or CVD mortality in fully adjusted models. These findings support the national PA recommendations to reduce mortality.

scholarly journals A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems

JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  
Keyword(s):  
Primary Care ◽  
Proportional Hazards ◽  
Biomarker Discovery ◽  
Data Extraction ◽  
Cox Proportional Hazards ◽  
Research Quality ◽  
Uk Biobank ◽  
Expert Review ◽  
Cox Proportional Hazards Models ◽  
The Uk

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.

scholarly journals Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metabolic Syndrome ◽  
Proportional Hazards ◽  
Screening Program ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Health Screening Program ◽  
Design And Methods

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.

scholarly journals Pre-diagnosis neutrophil-to-lymphocyte ratio and mortality in individuals who develop lung cancer

2021 ◽  
Author(s):  
Laurie Grieshober ◽  
Stefan Graw ◽  
Matt J. Barnett ◽  
Gary E. Goodman ◽  
Chu Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Proportional Hazards ◽  
Smoking Status ◽  
Cox Proportional Hazards ◽  
Neutrophil To Lymphocyte Ratio ◽  
Blood Draw ◽  
Lymphocyte Ratio ◽  
Cox Proportional Hazards Models ◽  
Inflammatory Profile ◽  
Heavy Smokers

Abstract Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high-risk heavy smokers. Methods We examined associations between pre-diagnosis methylation-derived NLR (mdNLR) and lung cancer-specific and all-cause mortality in 279 non-small lung cancer (NSCLC) and 81 small cell lung cancer (SCLC) cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype. Results Among SCLC cases, those with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). Increasing mdNLR was not associated with mortality among NSCLC overall, nor within adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115) case groups. Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not NSCLC.

scholarly journals Association Between Informant-Reported Sleep Disturbance and Incident Dementia: An Analysis of the National Alzheimer’s Coordinating Center Uniform Data Set

2020 ◽  
pp. 073346482096720
Author(s):  
Woojung Lee ◽  
Shelly L. Gray ◽  
Douglas Barthold ◽  
Donovan T. Maust ◽  
Zachary A. Marcum
Keyword(s):  
Older Adults ◽  
Sleep Disturbance ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Cognitive Screening ◽  
Cognitive Level ◽  
Data Set ◽  
Cox Proportional Hazards Models ◽  
Incident Dementia ◽  
Normal Cognition

Informants’ reports can be useful in screening patients for future risk of dementia. We aimed to determine whether informant-reported sleep disturbance is associated with incident dementia, whether this association varies by baseline cognitive level and whether the severity of informant-reported sleep disturbance is associated with incident dementia among those with sleep disturbance. A longitudinal retrospective cohort study was conducted using the uniform data set collected by the National Alzheimer’s Coordinating Center. Older adults without dementia at baseline living with informants were included in analysis. Cox proportional hazards models showed that participants with an informant-reported sleep disturbance were more likely to develop dementia, although this association may be specific for older adults with normal cognition. In addition, older adults with more severe sleep disturbance had a higher risk of incident dementia than those with mild sleep disturbance. Informant-reported information on sleep quality may be useful for prompting cognitive screening.

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