Abstract 085: Discordance in Patient-Physician Perceptions of Angina Experiences and Delivery of Care

2017 ◽  
Vol 10 (suppl_3) ◽  
Author(s):  
Suzanne V Arnold ◽  
Prakash C Deedwania ◽  
Cherilyn Heggen-Peay ◽  
Laurence Greene ◽  
Jeffrey D Carter ◽  
...  
Keyword(s):  
Improve Patient Care ◽  
Poor Quality ◽  
Assessment Tools ◽  
Delivery Of Care ◽  
Physician Perceptions ◽  
Patient Reported ◽  
Angina Frequency ◽  
Artery Disease ◽  
Stable Cad ◽  
The Impact

Background: Recent findings from the APPEAR study indicate that physicians under-recognize angina frequency in many patients with coronary artery disease (CAD). We surveyed patients with angina and the physicians who treat them to further explore factors that may contribute to under-recognition and the impact of under-recognition on patients’ experiences. Methods: Surveys were completed by 29 US physicians and 122 of their patients with stable CAD. Patients reported burden of angina and satisfaction with medication. Physicians estimated the average experience of their patients with stable CAD. Results: As with prior studies, physicians under-estimated burden of angina as reported by the patients (physician vs. patient report: weekly of more angina: 24% vs 50%, p=0.014; CCS III/IV: 22% vs 43%, p<0.001). Physicians also over-estimated patients’ satisfaction with control of their angina (70% vs 50%, p<0.001). Over 90% of physicians reported routinely asking patients about the frequency of their angina and adherence to antianginal medications (Figure). Most physicians estimate angina using NYHA or CCS class (59% and 24%, respectively) whereas 7% used a patient-reported assessment. While lack of time was reported as the biggest barrier to accurately assessing patients’ burden of angina, most physicians reported having no challenges to conducting these assessments. Conversely, 68% of patients reported that their physicians effectively communicated with them. Conclusions: Using a detailed survey of patients with stable CAD and their physicians, we found that physicians believe they are communicating effectively and most patients agreed (although to a lesser degree); yet, a substantial discordance between physician and patient perceptions of angina remains. These discordances may contribute to suboptimal treatment decisions, decreased treatment satisfaction, and poor quality of life. The observed discordances may be explained partly by the fact that <10% of physicians reported using a tool to assess angina burden directly from the patients, as physicians appeared to over-estimate their ability to accurately assess angina using traditional interview techniques. Education and use of validated angina assessment tools are essential for aligning perceptions to improve patient care and outcomes.

Abstract 7: Patient and Physician Discordance in Reporting Symptoms of Angina: Insights from the Angina Prevalence and Provider Evaluation of Angina Relief (APPEAR) Study

2015 ◽  
Vol 8 (suppl_2) ◽  
Author(s):  
Ali Shafiq ◽  
Faraz Kureshi ◽  
Suzanne V Arnold ◽  
Kensey Gosch ◽  
Tracie Breeding ◽  
...  
Keyword(s):  
Clinical Care ◽  
Stable Coronary Artery Disease ◽  
Kappa Statistic ◽  
Cross Sectional Study ◽  
Kappa Statistics ◽  
Cross Sectional ◽  
Patient Reported ◽  
Angina Frequency ◽  
Artery Disease ◽  
Stable Cad

Background: Eradication/minimization of angina is a primary therapeutic goal in the management of stable coronary artery disease (CAD). However, eliciting the presence/frequency of patients’ angina can be challenging, particularly in a busy outpatient clinic. We independently measured and compared patients’ and physicians’ assessments of the frequency of angina in US outpatient cardiology practices. Methods: From the ACC NCDR PINNACLE registry, we identified 23 practices and conducted a cross-sectional study of patients with stable CAD. Using the SAQ Angina Frequency (AF) scale, patients’ angina was categorized as daily/weekly (SAQ AF Score <60), monthly (SAQ AF Score=60-99) and none (SAQ AF Score=100). Kappa statistics were used to assess agreement between physicians’ and patients’ reported angina. Results: Among 1153 outpatients with stable CAD from 23 cardiology clinics, 8% reported daily/weekly, 24% monthly and 68% no angina. When patients reported daily/weekly, monthly or no angina symptoms, physicians agreed 70%, 16% and 94% of the time respectively, with physicians reporting no angina a quarter of the time in patients with weekly or greater angina (Figure). Agreement between patients and physician reports, as determined with a Kappa Statistic, was 0.41 (95% CI=0.36, 0.44) Conclusion: There was discordance between patient and physician reports of angina, especially among patients who reported having infrequent angina over the past 4 weeks. Moreover, physicians reported no angina among 1 of 4 patients having daily/weekly symptoms. Improving the communication between patients and physicians about the presence of angina may improve patients’ treatment and outcomes. These results support recent proposals to include patient-reported outcomes measures in routine clinical care, which may support better recognition, by physicians, of patients’ symptoms and improve treatment.

scholarly journals Assessing Elite Athletes Using PROMIS Tools: The STEALTH Project (Student Athlete Health Assessment)

2020 ◽  
Vol 8 (7_suppl6) ◽  
pp. 2325967120S0039
Author(s):  
Shanthan Challa ◽  
Marissa Holliday ◽  
Kenneth Bartolomei ◽  
Jonathan Bartolomei
Keyword(s):  
Physical Function ◽  
Patient Reported Outcomes ◽  
Computerized Adaptive Testing ◽  
Elite Athletes ◽  
Assessment Tools ◽  
Pain Interference ◽  
Significant Difference ◽  
Patient Reported ◽  
Division 1 ◽  
The Impact

Objectives: Injuries are a major part of elite sports, and patient-reported outcomes tools (PROs) are becoming commonplace for the assessment of injury and treatment outcomes. The National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) is a validated set of assessment tools with increasing popularity. The PROMIS metrics utilize computerized adaptive testing (CAT) to capture health status measurements through individualized assessments, with minimal user burden, and without the loss of precision or content validity. The purpose of this study was to evaluate elite athletes using PROMIS scores and assess the impact of injury on those scores to gain insight into how participation and injury can impact the health of NCAA Division 1 athletes participating in a variety of sports. Methods: Over six months, athletes from 11 sports at a single Division 1 Athletics program were recruited to participate in longitudinal prospective data collection using four PROMIS CAT scales/domains: Pain Interference (PI), Physical Function (PF), Depression, and Ability to Participate in Social Roles and Activities (PSRA). Using REDCap (Research Electronic Data Capture), athletes completed an assessment that included the PROMIS tools before participation in their respective sport’s season for the 2018-2019 academic year and following the completion of their season. Athletes suffering a season-ending injury were asked to complete the PROMIS survey within a week following the injury. De-identified data was analyzed using Student’s T-test. PROMIS outcome measures were analyzed using linear mixed model regression. A p-value of < 0.05 was considered statistically significant. Results: A total of 592 surveys were collected, composed of 320 pre-season surveys, 241 post-season surveys, and 31 season altering injury surveys. PF, Depression, and PSRA scores were significantly different in athletes than in the general age-matched population (Fig 1). PI scores were similar to the normal population. The distribution of PI and PF scores were significantly different pre and post-season with a difference in means of 1.499 (p=0.030) and -2.019 (p=0.005), respectively. No significant difference was observed in the Depression and PSRA scores at the end of the season (Fig 1). A total of 31 significant injuries were reported. Injuries resulted in a significant change from pre-season to post-season scores amongst all participants (Fig 1). Conclusion: There were significantly worse pain interference and physical function scores post-season compared to preseason, suggesting that athletic participation alone may impact the athlete’s overall function and condition. Season-altering injuries resulted in clinically significant differences in all four domains, PI, PF, Depression, and PSRA, suggesting that injuries greatly affect athletes not only physically, but mentally and socially as well. Statistically significant changes were seen in depression and social metrics after injury compared to the athlete’s pre-season scores. Consideration should be given to index pre-season PROMIS scores for individual athletes to make follow-up scores athlete-specific, meaningful, and actionable. There is a clear need for additional investigation into the impact of specific sports and specific injuries, which would be valuable to trainers, coaches, and clinicians to inform treatment and return to sport protocols.

Abstract 13448: Impact of Diabetes on Growth Differentiation Factor 15 and Mortality in Patients With Stable Coronary Artery Disease: The ANOX Study

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Hiromichi Wada ◽  
Takashi Unoki ◽  
masahiro suzuki ◽  
Morihiro Matsuda ◽  
Yoichi Ajiro ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
General Population ◽  
Growth Differentiation Factor 15 ◽  
Diabetic Status ◽  
Differentiation Factor ◽  
Risk Of Mortality ◽  
Artery Disease ◽  
Stable Cad ◽  
The Impact

Background: Diabetes mellitus (DM) is still significantly associated with the risk of mortality in the general population. Higher circulating growth differentiation factor 15 (GDF-15) levels are associated with the risk of mortality in the general population, in patients with DM, and in those with coronary artery disease (CAD). However, whether GDF-15 levels differ according to the diabetic status and whether DM modifies the relationship between GDF-15 and mortality in patients with stable CAD are unclear. Methods: Using data from a multicenter, prospective cohort of 1460 patients with stable CAD, we assessed the association between diabetic status and GDF-15 and the impact of DM on the association between GDF-15 levels and the risk of all-cause death. GDF-15 was measured in 797 DM and 663 non-DM patients enrolled in the ANOX Study. Results: The mean age (standard deviation [SD]) of the patients was 71.7 (9.4) years; 74.4% were men. Patients with DM exhibited significantly higher levels of GDF-15 compared to those without DM (median [interquartile range], 1472 [1049-2258] vs. 1274 [868-1874] pg/mL, respectively; P <0.001). Stepwise multiple linear regression analysis revealed that the log-transformed (Ln-) GDF-15 level was independently associated with higher age, DM, current smoking, lower estimated glomerular filtration rate, anemia, no use of aspirin, Ln-N-terminal pro-natriuretic peptide, and Ln-high-sensitivity C-reactive protein ( P <0.005 for all). In the entire patient cohort, the GDF-15 level was significantly associated with all-cause death after adjusting for potential clinical confounders (hazard ratio per 1-SD increase [HR], 1.51; 95% confidence interval [CI], 1.33-1.71). This association was still significant in patients with DM (HR, 1.52; 95% CI, 1.30-1.79) and in those without DM (HR, 1.57; 95% CI, 1.25-1.96). However, GDF-15 provided incremental prognostic information to the model with potential clinical confounders and the established cardiovascular biomarkers in the entire cohort and in patients with DM, but not in those without DM. Conclusions: Higher levels of GDF-15 were independently associated with DM in patients with stable CAD. The prognostic value of GDF-15 on mortality was pronounced in patients with DM.

Abstract 18360: Predictors of Physician Under-recognition of Angina in Outpatients With Stable Coronary Artery Disease

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Anna Grodzinsky ◽  
Mikhail Kosiborod ◽  
John Beltrame ◽  
Kensey Gosch ◽  
Philip G Jones ◽  
...  
Keyword(s):  
Stable Coronary Artery Disease ◽  
Clinic Visit ◽  
Physician Characteristics ◽  
Standard Patient ◽  
Patients With Heart Failure ◽  
Angina Frequency ◽  
Random Site ◽  
Artery Disease ◽  
Stable Cad

Background: Under-recognition of angina by physicians may result in under-treatment with revascularization or medications that could improve patients’ quality of life. Patient and physician characteristics associated with under-recognition have never been described. Methods: Outpatients with stable CAD in a 24-site US registry completed the Seattle Angina Questionnaire (SAQ) and their physicians independently quantified patients’ angina in the month prior to their clinic visit. Angina frequency was categorized as none, monthly, and daily/weekly. Among patients who reported angina, under-recognition was defined as the physician reporting a lower frequency of angina than the patient. A hierarchical (for site and physician) logistic model examined patient and physician factors associated with under-recognition of angina. Physician variability was assessed with a median odds ratio (MOR), which compares the likelihood of 1 physician at 1 random site under-recognizing angina vs. another physician at another site. Results: Among 1203 patients with stable CAD, 304 patients reported angina in the prior month, of whom 122 (40%) were under-recognized by their physician. Physicians were more likely to under-recognize the frequency of angina in patients with heart failure and among patients with less frequent angina (Figure). No other patient or physician factors were associated with under-recognition. There was significant variability across physicians (MOR 2.6), indicating that some physicians were better than others at recognizing angina. Conclusions: Under-recognition of angina is common in routine clinical practice and was largely unrelated to standard patient and physician characteristics. The large variation across physicians suggests that a more systematic approach is needed to assess angina from patients with CAD. The use of a validated tool, such as the SAQ, should be tested for improving angina recognition and outcomes.

Abstract 14637: Effects of Dietary Patterns in the Severity of Coronary Artery Disease

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
George Georgiopoulos ◽  
Gerasimos Siasos ◽  
Eleni Kokkou ◽  
Evangelos Oikonomou ◽  
Stathis Dimitropoulos ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Dietary Patterns ◽  
Dietary Habits ◽  
Discriminative Ability ◽  
Vessel Coronary Artery Disease ◽  
Artery Disease ◽  
Stable Cad ◽  
The Impact ◽  
Vessel Coronary Artery

Introduction: The impact of diet on atherosclerosis progression is well established. However, the independent predictive value of unhealthy diet in the prognosis and severity of coronary artery disease (CAD) has not been definitely confirmed and clinicians often ignore how to incorporate it in clinical practice. Hypothesis: Dietary patterns may impact CAD severity. Methods: In this cohort study we included 188 consecutive symptomatic stable CAD patients. The diagnosis of CAD was based on coronary angiography and patients were categorized as having severe CAD and non-severe CAD. The diagnosis of severe CAD was based on the presence of either left main coronary artery disease (stenosis≥50%), or three-vessel coronary artery disease, or two-vessel coronary artery disease marked by stenosis of the proximal left anterior descending artery ≥70%. Among several demographics and clinical characteristics all subjects were tested with a validated semi quantitative food frequency questionnaire. Results: Concerning baseline demographic characteristics there was no difference between subjects with severe CAD and non-severe CAD while, the prevalence of severe CAD was higher in current smokers compared to non-smokers. Principal component analysis revealed 8 distinct dietary patterns. The first component-western dietary pattern (increased intake of fat, red meat and carbohydrates and minimal consumption of fruits vegetables and green leafy)- was predictive of severe CAD (AUC:0.73, 95% CIs:0.64-0.83, p<0.001) and more interestingly, can increase the discriminative ability of a multivariate model based on all major risk factors. Conclusion: The unhealthy western type of diet is associated with the severity and extent of coronary artery lesions in patients with stable CAD. These findings highlight the importance of accessing dietary patterns when calculating cardiovascular risk and to take into consideration dietary habits in the management of cardiovascular patients.

scholarly journals What is the evidence for mirtazapine in treating cancer-related symptomatology? A systematic review

2019 ◽  
Vol 28 (4) ◽  
pp. 1597-1606 ◽  
Author(s):  
Guillaume Economos ◽  
Natasha Lovell ◽  
Anna Johnston ◽  
Irene J. Higginson
Keyword(s):  
Systematic Review ◽  
Small Sample Size ◽  
Poor Quality ◽  
Small Sample ◽  
Assessment Tools ◽  
Data Synthesis ◽  
Small Sample Sizes ◽  
Randomised Controlled ◽  
Multiple Symptoms ◽  
The Impact

Abstract Purpose Cancer patients often experience multiple distressing symptoms which are challenging to manage. It would therefore be helpful to find a treatment that alleviates more than one symptom, to avoid polypharmacy: mirtazapine has been used in several studies for this purpose. The objective of this study was to assess the effectiveness and safety of mirtazapine in alleviating one or more frequently encountered cancer-related symptoms. Methods Systematic review of clinical trials in English or French. Eight databases were searched. Included studies assessed the effectiveness of mirtazapine in alleviating one or more frequently encountered cancer-related symptoms. Comparator and validated assessment tools were required. Studies were independently appraised by two investigators before data synthesis. Results The search yielded 1898 references, from which we identified 12 relevant articles evaluating highly heterogeneous outcomes. These were two randomised-controlled (RCTs), three non-randomised controlled, and seven non-randomised non-controlled trials. In total, 392 participants were included and 185 were in RCTs. No study assessed the effectiveness of mirtazapine in alleviating symptoms at the same time, but some considered more than one symptom. Overall, the data was of poor quality, limited by small sample size and bias. However, mirtazapine showed effectiveness in treating depression, anxiety, sleep disorders, emesis and neuropathic pain. Across all studies, mirtazapine is safe to use, with drowsiness and dizziness the most common side-effects. Conclusion Study design and small sample sizes limit the ability to interpret results. Trials to assess the impact of mirtazapine or other medicines in alleviating multiple symptoms would be valuable.

Evaluation of the Impact of Ranolazine Treatment on Liver Function Tests in Patients With Coronary Heart Disease and Nonalcoholic Fatty Liver Disease

Angiology ◽  
2021 ◽  
pp. 000331972110055
Author(s):  
Kerim Esenboğa ◽  
Alparslan Kurtul ◽  
Hüseyin Nazman ◽  
Cemre Gül Tekin ◽  
Nil Özyüncü ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Liver Function Tests ◽  
Nonalcoholic Fatty Liver ◽  
Artery Disease ◽  
Stable Cad ◽  
Serum Aminotransferases ◽  
The Impact

Nonalcoholic fatty liver disease (NAFLD) is the most common liver pathology in the developed world. Nonalcoholic fatty liver disease is associated with a higher risk of cardiovascular disease. We investigated the impact of ranolazine on liver tests in patients with NAFLD and coronary artery disease (CAD). Patients who had established CAD and NAFLD (as assessed by raised serum transaminase activity, sonographic criteria, and the absence of any other obvious liver disease) were allocated to “on ranolazine” (n = 40) or “not on ranolazine” (n = 35) groups. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were measured in all patients at baseline and at the end of the study. After 6 months of ranolazine treatment, both ALT and AST activities were significantly lower in patients in the “on ranolazine” group compared with “not on ranolazine” patients (change from baseline: ALT, −11.0 ± 1.7 IU/L, P < .001; AST, −5.2 ± 1.9 IU/L, P =.009). In conclusion, the present study showed that treatment with ranolazine for 6 months led to a significant reduction in the activities of both serum aminotransferases in patients with stable CAD and NAFLD.

scholarly journals Assessing Elite Athletes using PROMIS Tools: The STEALTH Project (Student Athlete Health Assessment)

2019 ◽  
Vol 4 (4) ◽  
pp. 2473011419S0001 ◽  
Author(s):  
Shanthan Challa ◽  
Eric Lakey ◽  
Kenneth Smith ◽  
Marissa Holliday ◽  
Jonah Vest ◽  
...  
Keyword(s):  
Patient Reported Outcomes ◽  
Computerized Adaptive Testing ◽  
Elite Athletes ◽  
Assessment Tools ◽  
Measurement Information ◽  
Significant Difference ◽  
Patient Reported ◽  
Division 1 ◽  
The Impact ◽  
Academic Year

Category: Sports, Outcomes Introduction/Purpose: Injuries are a major part of elite sports and patient-reported outcomes tools (PROs) are becoming commonplace for the assessment of injury and treatment outcomes. The National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) is a validated set of assessment tools with increasing popularity. The PROMIS metrics utilize computerized adaptive testing (CAT) to capture health status measurements through individualized assessments, with minimal user burden, and without the loss of precision or content validity. The purpose of this study was to evaluate elite athletes using PROMIS scores and assess the impact of injury on those scores in order to gain insight into how participation and injury can impact the health of NCAA Division 1 athletes participating in a variety of sports. Methods: Over a six-month period, athletes from 11 sports at a single Division 1 Athletics program were recruited to participate in longitudinal prospective data collection using four PROMIS CAT scales/domains: Pain Interference (PI), Physical Function (PF), Depression, and Ability to Participate in Social Roles and Activities (PSRA). Using REDCap (Research Electronic Data Capture), athletes completed an assesment that included the PROMIS tools prior to participation in their respective sport’s season for the 2018-2019 academic year and following the completion of their season. Athletes suffering a season-ending injury were asked to complete the PROMIS survey within a week following the injury. De-identified data was analyzed using Student’s T-test. PROMIS outcome measures were analyzed using linear mixed model regression. A p-value of < 0.05 was considered statistically significant. Results: A total of 315 pre-season surveys were collected and of those 139 post-season surveys have been completed at this point in the academic year. PF, Depression and PSRA scores were significantly different in athletes than in the general age-matched population. PI scores were similar to the normal population. The distribution of PI and PF scores were significantly different pre and post-season with a difference in means of 2.2 and -3.2 respectively (p<.01). No significant difference was observed in the Depression and PSRA scores at the end of the season. A total of 23 significant injuries were reported up to this point in the season, resulting in a significant change from both pre-season scores and post-season in uninjured controls (Figure 1). Conclusion: We found significantly worse PI and PF scores after a full season compared to preseason, suggesting that athletic participation alone impacts the athlete’s overall function and condition. Season-altering injuries resulted in clinically significant differences in all four domains, suggesting that injuries greatly affect athletes not only physically, but mentally and socially. These data indicate that consideration should be given to pre-season PROMIS surveys for individual athletes to ensure that subsequent scores are properly interpreted. Additional study will elucidate the impact of specific sports and injuries, providing data to physicians, trainers, and coaches to inform treatment and return to sport protocols.

Abstract 13423: Impact of Anemia on Growth Differentiation Factor 15 and Mortality in Patients With Stable Coronary Artery Disease: The ANOX Study

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Moritake Iguchi ◽  
masahiro suzuki ◽  
Morihiro Matsuda ◽  
Yoichi Ajiro ◽  
Tsuyoshi Shinozaki ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Transforming Growth Factor ◽  
Stable Coronary Artery Disease ◽  
Linear Regression Analysis ◽  
Growth Differentiation Factor 15 ◽  
Differentiation Factor ◽  
Artery Disease ◽  
Stable Cad ◽  
The Impact

Background: Growth differentiation factor 15 (GDF-15) is a stress responsive cytokine of the transforming growth factor superfamily. Circulating levels of GDF-15 are elevated in various conditions including anemia and stable coronary artery disease (CAD), and associated with the risk of mortality in patients with stable CAD. However, whether anemia modifies the relationship between GDF-15 and mortality in patients with stable CAD is unknown. Methods: Using data from a multicenter, prospective cohort of 1460 patients with stable CAD, we assessed the association between anemic status and GDF-15 and the impact of anemia on the association between GDF-15 levels and the risk of all-cause death. GDF-15 was measured in 564 anemic and 896 non-anemic patients enrolled in the ANOX Study. Results: The mean age (standard deviation [SD]) of the patients was 71.7 (9.4) years; 74.4% were men. Patients with anemia exhibited significantly higher levels of GDF-15 compared to those without anemia (median [interquartile range], 1953 [1302-3110] vs. 1175 [838-1579] pg/mL, respectively; P <0.001). Stepwise multiple linear regression analysis revealed that the log-transformed (Ln-) GDF-15 level was independently associated with higher age, diabetes, current smoking, lower estimated glomerular filtration rate, anemia, no use of aspirin, Ln-N-terminal pro-natriuretic peptide, and Ln-high-sensitivity C-reactive protein ( P <0.005 for all). In the entire patient cohort, the GDF-15 level was significantly associated with all-cause death after adjusting for potential clinical confounders (hazard ratio per 1-SD increase [HR], 1.51; 95% confidence interval [CI], 1.33-1.71). This association was still significant in patients with anemia (HR, 1.71; 95% CI, 1.44-2.05) and in those without anemia (HR, 1.44; 95% CI, 1.21-1.71). However, GDF-15 provided incremental prognostic information to the model with potential clinical confounders and the established cardiovascular biomarkers in the entire cohort and in patients with anemia, but not in those without anemia. Conclusions: Higher levels of GDF-15 were independently associated with anemia in patients with stable CAD. The prognostic value of GDF-15 on mortality was pronounced in patients with anemia.

The Impact of Missing and Error-Prone Auxiliary Information on Sparse-Matrix Sub-Population Parameter Estimates

Methodology ◽  
2015 ◽  
Vol 11 (3) ◽  
pp. 89-99 ◽  
Author(s):  
Leslie Rutkowski ◽  
Yan Zhou
Keyword(s):  
Sparse Matrix ◽  
Small Body ◽  
Auxiliary Information ◽  
Poor Quality ◽  
Quality Data ◽  
Estimation Methods ◽  
Parameter Estimates ◽  
Population Parameter ◽  
Conditioning Model ◽  
The Impact

Abstract. Given a consistent interest in comparing achievement across sub-populations in international assessments such as TIMSS, PIRLS, and PISA, it is critical that sub-population achievement is estimated reliably and with sufficient precision. As such, we systematically examine the limitations to current estimation methods used by these programs. Using a simulation study along with empirical results from the 2007 cycle of TIMSS, we show that a combination of missing and misclassified data in the conditioning model induces biases in sub-population achievement estimates, the magnitude and degree to which can be readily explained by data quality. Importantly, estimated biases in sub-population achievement are limited to the conditioning variable with poor-quality data while other sub-population achievement estimates are unaffected. Findings are generally in line with theory on missing and error-prone covariates. The current research adds to a small body of literature that has noted some of the limitations to sub-population estimation.

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