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Thomas Rector

Publications and source records attributed to Thomas Rector.

3 recordsLinked to original sources

C-reactive protein in heart failure: prognostic value and the effect of valsartan.

BACKGROUND: The role of C-reactive protein (CRP) in heart failure is not well studied. We assessed the prognostic value of CRP in patients randomized in Val-HeFT (Valsartan Heart Failure Trial) and studied changes in CRP that were associated with valsartan. METHODS AND RESULTS: Characteristics of patients with baseline CRP levels above and below the median value were compared. Univariable and multivariable Cox proportional hazards regression models were used to examine the relationship of CRP to mortality and morbidity. Interactions were tested to determine whether differences in CRP changes from baseline to 4 and 12 months between groups randomly assigned to valsartan or placebo depended on baseline ACE inhibitor use. Median plasma CRP was 3.23 mg/L (interquartile range 1.42 to 7.56 mg/L), which is higher than in the general population. Patients with CRP above the median had features of more severe heart failure than those with CRP levels below the median. The cumulative likelihood of death and first morbid event increased with increasing quartile of CRP. Relative to the lowest CRP quartile, the risk of mortality (hazard ratio 1.51, 95% CI 1.2 to 1.9) and first morbid event (hazard ratio 1.53, 95% CI 1.28 to 1.84) was increased in the highest CRP quartile in multivariable models. CRP added incremental prognostic information to that provided by brain natriuretic peptide alone. CRP did not change significantly over time in the placebo group; however, after 12 months, valsartan was associated with a decrease in CRP in patients not receiving ACE inhibitors but not in those receiving ACE inhibitors at 12 months. CONCLUSIONS: CRP is increased in heart failure. Higher levels are associated with features of more severe heart failure and are independently associated with mortality and morbidity. The ability of treatments to reduce CRP levels and the prognostic importance of reducing CRP require further study.

Aged↗

Consensus statement: Palliative and supportive care in advanced heart failure.

BACKGROUND: A consensus conference was convened to define the current state and important gaps in knowledge and needed research on "Palliative and Supportive Care in Advanced Heart Failure." EVIDENCE: Evidence was drawn from expert opinion and from extensive review of the medical literature, evidence-based guidelines, and reviews. CONCLUSIONS: The conference identified gaps in current knowledge, practice, and research relating to prognostication, symptom management, and supportive care for advanced heart failure (HF). Specific conclusions include: (1) although supportive care should be integrated throughout treatment of patients with advanced HF, data are needed to understand how to best decrease physical and psychosocial burdens of advanced HF and to meet patient and family needs; (2) prognostication in advanced HF is difficult and data are needed to understand which patients will benefit from which interventions and how best to counsel patients with advanced HF; (3) research is needed to identify which interventions improve quality of life and best achieve the outcomes desired by patients and family members; (4) care should be coordinated between sites of care, and barriers to evidence-based practice must be addressed programmatically; and (5) more research is needed to identify the content and technique of communicating prognosis and treatment options with patients with advanced HF; physicians caring for patients with advanced HF must develop skills to better integrate the patient's preferences into the goals of care.

Counseling↗

Use of geocoding in managed care settings to identify quality disparities.

Tracking quality-of-care measures is essential for improving care, particularly for vulnerable populations. Although managed care plans routinely track quality measures, few examine whether their performance differs by enrollee race/ethnicity or socioeconomic status (SES), in part because plans do not collect that information. We show that plans can begin examining and targeting potential disparities using indirect measures of enrollee race/ethnicity and SES based on geocoding. Using such measures, we demonstrate disparities within both Medicare+Choice and commercial plans on Health Plan Employer Data and Information Set (HEDIS) measures of diabetes and cardiovascular care, including instances in which race/ethnicity and SES have distinct effects.

Ethnicity↗