19 research outputs found

    Statin intensity and risk for cardiovascular events after heart transplantation

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    AimsStatins improve survival and reduce rejection and cardiac allograft vasculopathy after heart transplantation (HT). The impact of different statin intensities on clinical outcomes has never been assessed. We set out to determine the impact of statin exposure on cardiovascular outcomes after HT.Methods and resultsWe performed a retrospective study of 346 adult patients who underwent HT from 2006 to 2018. Statin intensity was determined longitudinally after HT based on American College of Cardiology/American Heart Association (ACC/AHA) guidelines. The primary outcome was the time to the first primary event defined as the composite of heart failure hospitalization, myocardial infarction, revascularization, and all‐cause mortality. Secondary outcomes included time to significant rejection and time to moderate–severe cardiac allograft vasculopathy. Adverse events were evaluated for subjects on high‐intensity statin therapy. A Cox proportional hazards model was used to evaluate the relationship between clinical variables, statin intensity, and outcomes. Most subjects were treated with low‐intensity statin therapy although this declined from 89.9% of the population at 1month after HT to 42.8% at 5years after HT. History of ischaemic cardiomyopathy, significant acute rejection, older donor age, and lesser statin intensity (p ≤ 0.001) were associated with reduced time to the primary outcome in a multivariable Cox model. Greater intensity of statin therapy was most beneficial early after HT. There were no statin‐related adverse events for the 14 subjects on high‐intensity statin therapy.ConclusionsGreater statin intensity was associated with a reduction in adverse cardiovascular outcomes after HT.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/162686/2/ehf212784.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162686/1/ehf212784_am.pd

    Relating smoking, obesity, insulin resistance, and ovarian biomarker changes to the final menstrual period

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    To determine if smoking, obesity, and insulin resistance mediated age at final menstrual period (FMP), we examined anti-Müllerian hormone (AMH), inhibin B, and follicle-stimulating hormone (FSH) as biomarkers of changing follicle status and ovarian aging. We performed a longitudinal data analysis from a cohort of premenopausal women followed to their FMP. Our results found that smokers had an earlier age at FMP ( P < 0.003) and a more rapid decline in their AMH slope relative to age at FMP ( P < 0.002). Smokers had a lower baseline inhibin B level relative to age at the FMP than nonsmokers ( P = 0.002). Increasing insulin resistance was associated with a shorter time to FMP ( P < 0.003) and associations of obesity and time to FMP were observed ( P = 0.004, in model with FSH). Change in ovarian biomarkers did not mediate the time to FMP. We found that smoking was associated with age at FMP and modified associations of AMH and inhibin B with age at FMP. Insulin resistance was associated with shorter time to FMP independent of the biomarkers. Interventions targeting smoking and insulin resistance could curtail the undue advancement of reproductive aging.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79293/1/j.1749-6632.2010.05523.x.pd

    The value of follicle-stimulating hormone concentration and clinical findings as markers of the late menopausal transition

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    CONTEXT: The Stages of Reproductive Aging Workshop proposed bleeding and hormonal criteria for the menopausal transition, but operational definitions of hormone parameters were not specified. OBJECTIVE: This paper investigates the longitudinal relationship of annual serum FSH levels with four proposed bleeding criteria for the late menopausal transition in two cohort studies. The goal is to provide empirically based guidance regarding application of hormonal criteria that may be optimal for widespread application in clinical and research settings for assessing menopausal stage. DESIGN/SETTING: Prospective menstrual calendar and annual serum FSH data were collected from two population-based cohort studies: the Melbourne Women\u27s Midlife Health Project and the Study of Women\u27s Health Across the Nation. PARTICIPANTS: Participants in the study were 193 Melbourne Women\u27s Midlife Health Project and 2223 Study of Women\u27s Health Across the Nation women aged 42-57 yr at baseline who contributed 10 or more menstrual cycles and at least one annual serum FSH value. MAIN OUTCOME MEASURE(S): Association between bleeding criteria for the late menopausal transition and FSH was a main outcome measure. Associations of bleeding criteria, FSH, and hot flashes with the final menstrual period were also measured. RESULTS: A single FSH measure is an independent marker of the late menopausal transition, but FSH concentrations are less predictive of menopausal stage than any of four proposed bleeding criteria. Criterion FSH values for the late transition are similar across both studies. Experience of hot flashes adds no information in the presence of hormonal and bleeding criteria. CONCLUSIONS: An annual serum FSH concentration of 40 IU/liter could be incorporated, in conjunction with bleeding markers, into the Stages of Reproductive Aging Workshop paradigm for markers of the late menopausal transition

    505 Use of Expanded Access at Michigan Medicine and Associations with Neighborhood Factors

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    OBJECTIVES/GOALS: Socioeconomic status (SES) affects risk of disease and access to therapies. The expanded access (EA) pathway allows for the clinical use of investigational products for patients who have serious illness but no Food and Drug Administration (FDA)-approved therapeutic options. The SES of patients who receive EA is unknown. METHODS/STUDY POPULATION: We reviewed the patients who were approved for treatment through a single-patient EA pathway between 2018 and 2023. Using Michigan Medicine (MM) DataDirect software linked to the MM electronic medical record system, we linked the EA pathway patients to neighborhood data from the National Neighborhood Data Archive (NaNDA) to compare neighborhood related markers of affluence among EA patients and others treated at MM. We used descriptive statistics to compare variables between EA pathway patients and residents of the state of Michigan or the local county surrounding MM (Washtenaw County), using US Census tract data to provide context for these findings. RESULTS/ANTICIPATED RESULTS: MM patients who received EA treatments were more likely to come from neighborhoods that showed markers of high SES compared to residents of the state of Michigan but not Washtenaw County. This includes the proportion of persons living in poverty (12.5% EA / 13.4% Michigan / 12.4% Washtenaw) and education in the form of a bachelor’s degree or higher (32.2% / 30.6% / 57.2%). This varied by the disease being treated. Oncology patients were more likely to be from areas with less poverty and more education (12.4% / 76.8%) than the EA average. EA patients being treated for infectious diseases were from areas with more poverty and less education (13.5% / 26.7%). DISCUSSION/SIGNIFICANCE: Patients treated at Michigan Medicine using treatments obtained through the EA pathway came from areas that were, on average, more affluent than residents of the state of Michigan as a whole. This finding warrants more research to ensure equitable access to these therapies for patients in disadvantaged neighborhoods

    Associations of Anatomical Measures from MRI with Radiographically Defined Knee Osteoarthritis Score, Pain, and Physical Functioning

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    Background: The prevalence of knee osteoarthritis is traditionally based on radiographic findings, but magnetic reso-nance imaging is now being used to provide better visualization of bone, cartilage, and soft tissues as well as the patellar compartment. The goal of this study was to estimate the prevalences of knee features defined on magnetic resonance imaging in a population and to relate these abnormalities to knee osteoarthritis severity scores based on radiographic findings, physical functioning, and reported knee pain in middle-aged women. Methods: Magnetic resonance images of the knee were evaluated for the location and severity of cartilage defects, bone marrow lesions, osteophytes, subchondral cysts, meniscal and/or ligamentous tears, effusion, and synovitis among 363 middle-aged women (724 knees) from the Michigan Study of Women’s Health Across the Nation. These findings were related to Kellgren-Lawrence osteoarthritis severity scores from radiographs, self-reported knee pain, self-reported knee injury, perception of physical functioning, and physical performance measures to assess mobility. Radiographs, physical performance assessment, and interviews were undertaken at the 1996 study baseline and again (with the addition of magnetic resonance imaging assessment) at the follow-up visit during 2007 to 2008. Results: The prevalence of moderate-to-severe knee osteoarthritis changed from 3.7 % at the baseline assessment to 26.7 % at the follow-up visit eleven years later. Full-thickness cartilage defects of the medial, lateral, and patellofemoral compartments were present in 14.5 % (105 knees), 4.6 % (thirty-three knees), and 26.2 % (190 knees), respectively

    Electrocardiogram Monitoring After the Food and Drug Administration Warnings for Citalopram: Unheeded Alerts?

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146403/1/jgs15420_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146403/2/jgs15420.pd

    Antidepressant Medication Treatment and Risk of Death

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    OBJECTIVE: Although previous studies have assessed whether depression is a mortality risk factor, few have examined whether antidepressant medications (ADMs) influence mortality risk. METHODS: We estimated hazards of 1-year all-cause mortality associated with ADMs, with use occurring within 90 days of depression diagnosis among 720 821 patients who received treatment in a Veterans Health Administration facility during fiscal year 2006. We addressed treatment selection biases using conventional Cox regression, propensity-stratified Cox regression (propensity score), and 2 forms of marginal structural models. Models accounted for multiple potential clinical and demographic confounders, and sensitivity analyses compared findings by antidepressant class. RESULTS: Antidepressant medication use compared with no use was associated with significantly lower hazards of 1-year mortality risk in Cox (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.90-0.97) and propensity score estimates (HR, 0.94; 95% CI, 0.91-0.98), whereas marginal structural model-based estimates showed no difference in mortality risk when the exposure was specified as as-treated in every 90-day intervals of the 1-year follow-up (HR, 0.91; 95% CI, 0.66-1.26) but showed increased risk when specified as intent-to-treat (HR, 1.07; 95% CI, 1.02-1.13). CONCLUSIONS: Among patients treated with ADMs belonging to a single class in the first 90 days, there were no significant differences in 1-year all-cause mortality risks. When accounting for clinical and demographic characteristics and treatment selection bias, ADM use was associated with no excess harm

    Influence of race/ethnicity, body mass index, and proximity of menopause on menstrual cycle patterns in the menopausal transition: the Study of Women\u27s Health Across the Nation

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    OBJECTIVE: Few studies have evaluated factors that influence menstrual cycle length (MCL) during the menopausal transition (MT), a life stage during which very long cycles become more likely to occur. The objective of this article was to assess how body mass index and race/ethnicity--factors associated with MCL in young women--influence MCL during the MT. METHODS: Study of Women\u27s Health Across the Nation menstrual calendar substudy data of African-American, white, Chinese, and Japanese women were available for three sites (southeastern Michigan, Los Angeles, and northern California). Self-recorded monthly menstrual calendars with end-of-the-month questions on hormone therapy use and smoking were collected from 1996 to 2006. Height and weight were measured at annual study visits. We used quantile regression to model MCL at the 25th, 50th, 75th, and 90th percentiles with bootstrap sampling to construct 95% CIs. Models evaluated MCL with time indexed to the start of the MT (n = 963) and to the final menstrual period (n = 431). RESULTS: During the MT, increases in MCL occurred mostly at the right tail of the distribution, reflecting a lengthening of long menstrual cycles, not of the median MCL. After adjustment for smoking, education, physical activity, and time, Chinese and Japanese women had 1 day to 6 days longer MCLs compared with white women. Obese women had 1 day to 5 days longer MCLs compared with nonobese women. CONCLUSIONS: As occurs in younger women, menstrual characteristics during the MT are influenced by race/ethnicity and obesity. The long menstrual cycles characteristic of the MT are longer in obese women and in Chinese and Japanese women
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