MO138ASSOCIATION OF NT-PROBNP WITH OBESITY IN CKD PATIENTS

Abstract Background and Aims Obesity is associated with lower circulating levels of N-terminal pro-BNP (NT-proBNP) both in the general population and in patients with heart failure. In asymptomatic patients with CKD, NT-proBNP levels are generally elevated. The prevalence of obesity is markedly increasing among patients with CKD. However, whether obesity affects NT-proBNP levels and thresholds for increased risk of clinical outcomes is unclear. Method We examined the associations between NT-proBNP and obesity in 408 stage 3–5 CKD patients (268 men and 140 women; mean age 65±13 years) free of heart failure at baseline, who were categorized into 3 groups according to body mass index (BMI; kg/m2) as normal (<24.0), overweight (24.0–27.9), and obese (≥28.0). Multivariate Cox proportional hazards models were used to compare the risk associations of NT-proBNP with the composite of ESKD (needing chronic dialysis or kidney transplantation) or all-cause mortality across BMI categories. Results NT-proBNP levels were significantly lower in obese patients than in normal weight and overweight subjects (P <0.001). Within each CKD stage, NT-proBNP levels decreased with increasing BMI. In a multivariate analysis, NT-proBNP was inversely associated with obesity, as well as BMI and its fat and lean body mass components (all P <0.001), independent of demographics, comorbidities, and severity of CKD. During a median follow-up of 2.2 years, 117 patients progressed to ESKD and 46 patients died. Overall, higher NT-proBNP levels were independently associated with ESKD or death (HR, 1.52; 95% CI, 1.22–1.89). Specifically, higher NT-proBNP levels were consistently associated with poor outcomes in all BMI categories (P for interaction = 0.096). Conclusion Obese CKD patients have significantly lower NT-proBNP levels. Nevertheless, BMI category did not modify the relationship between NT-proBNP and clinical outcomes. Increased risk may be seen at relatively lower levels of NT-proBNP in obese CKD patients.

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Childhood body mass index and multiple sclerosis risk: a long-term cohort study

Multiple Sclerosis Journal ◽

10.1177/1352458513483889 ◽

2013 ◽

Vol 19 (10) ◽

pp. 1323-1329 ◽

Cited By ~ 143

Author(s):

Kassandra L Munger ◽

Joan Bentzen ◽

Bjarne Laursen ◽

Egon Stenager ◽

Nils Koch-Henriksen ◽

...

Keyword(s):

Multiple Sclerosis ◽

Body Mass Index ◽

Body Mass ◽

School Health ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Z Score ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

Unit Increase

Background: Obesity in late adolescence has been associated with an increased risk of multiple sclerosis (MS); however, it is not known if body size in childhood is associated with MS risk. Methods: Using a prospective design we examined whether body mass index (BMI) at ages 7–13 years was associated with MS risk among 302,043 individuals in the Copenhagen School Health Records Register (CSHRR). Linking the CSHRR with the Danish MS registry yielded 774 MS cases (501 girls, 273 boys). We used Cox proportional hazards models to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). Results: Among girls, at each age 7–13 years, a one-unit increase in BMI z-score was associated with an increased risk of MS (HRage 7=1.20, 95% CI: 1.10–1.30; HRage 13=1.18, 95% CI: 1.08–1.28). Girls who were ≥95th percentile for BMI had a 1.61–1.95-fold increased risk of MS as compared to girls <85th percentile. The associations were attenuated in boys. The pooled HR for a one-unit increase in BMI z-score at age 7 years was 1.17 (95% CI: 1.09–1.26) and at age 13 years was 1.15 (95% CI: 1.07–1.24). Conclusion: Having a high BMI in early life is a risk factor for MS, but the mechanisms underlying the association remain to be elucidated.

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Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study

Journal of the American Heart Association ◽

10.1161/jaha.120.018385 ◽

2021 ◽

Vol 10 (6) ◽

Author(s):

Bin Yan ◽

Ruohan Li ◽

Jiamei Li ◽

Xuting Jin ◽

Fan Gao ◽

...

Keyword(s):

Heart Failure ◽

Congestive Heart Failure ◽

Cohort Study ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Health Study ◽

Sleep Timing ◽

Cox Proportional Hazards Models ◽

Increased Risk

Background Previous studies have suggested that sleep timing is associated with cardiovascular risk factors. However, there is no evidence on the relationship between sleep timing and congestive heart failure (CHF). We aimed to examine this relationship in this study. Methods and Results We recruited 4765 participants (2207 men; mean age, 63.6±11.0 years) from the SHHS (Sleep Heart Health Study) database in this multicenter prospective cohort study. Follow‐up was conducted until the first CHF diagnosis between baseline and the final censoring date. Sleep timing (bedtimes and wake‐up times on weekdays and weekends) was based on a self‐reported questionnaire. Cox proportional hazard models were constructed to investigate the association between sleep timing and CHF. During the mean follow‐up period of 11 years, 519 cases of CHF (10.9%) were reported. The multivariable Cox proportional hazards models revealed that participants with weekday bedtimes >12:00 am (hazard ratio [HR], 1.56; 95% CI, 1.15–2.11; P =0.004) and from 11:01 pm to 12:00 am (HR, 1.25; 95% CI, 1.00–1.56; P =0.047) had an increased risk of CHF compared with those with bedtimes from 10:01 pm to 11:00 pm . After stratified analysis, the association was intensified in participants with a self‐reported sleep duration of 6 to 8 hours. Furthermore, wake‐up times >8:00 am on weekdays (HR, 1.53; 95% CI, 1.07–2.17; P =0.018) were associated with a higher risk of incident CHF than wake‐up times ≤6:00 am . Conclusions Delayed bedtimes (>11:00 pm ) and wake‐up times (>8:00 am ) on weekdays were associated with an increased risk of CHF.

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Effect of Body Mass Index on the Association Between Alcohol Consumption and the Development of Chronic Kidney Disease

10.21203/rs.3.rs-569097/v1 ◽

2021 ◽

Author(s):

Yusaku Hashimoto ◽

Sawako Kato ◽

Yoshinari Yasuda ◽

Takuji Ishimoto ◽

Hiroaki Kawashiri ◽

...

Keyword(s):

Body Mass Index ◽

Chronic Kidney Disease ◽

Alcohol Consumption ◽

Kidney Disease ◽

Body Mass ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

The Body ◽

Cox Proportional Hazards Models ◽

Increased Risk

Abstract Although previous studies demonstrated that alcohol consumption is associated with low chronic kidney disease (CKD) risk, they did not consider individual body mass and metabolic capacity. We examined whether the body mass index (BMI) affects the association between drinking and CKD. We defined CKD as an estimated glomerular filtration rate decline < 60 mL/min/1.73 m2 and/or dipstick proteinuria (≥ 1+). Participants were 11,175 Japanese individuals aged 40–74 years without baseline CKD who underwent annual health checkups. Daily alcohol consumption was estimated from a questionnaire, and the participants were categorized as "infrequent drinkers," "light drinkers (< 20 g/day)," "moderate drinkers (20–40 g/day)," and "heavy drinkers (≥ 40 g/day)." Over a median 5-year observation period, 936 participants developed CKD. Cox proportional hazards models revealed that light drinkers had a significantly reduced risk of CKD compared with infrequent drinkers (P = 0.01). Stratified by BMI, the low BMI (< 18.5 kg/m2) group had an increased risk of CKD even in light drinkers, while the high BMI (≥ 25.0 kg/m2) group had a decreased risk of CKD regardless of alcohol consumption. Taken together, alcohol consumption did not reduce the CKD risk in all populations; individual tolerance must be considered.

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

Cancers ◽

10.3390/cancers13051177 ◽

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.

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Association of Body Mass Index With Clinical Outcomes in Patients With Heart Failure With Reduced Ejection Fraction Treated With Sacubitril/Valsartan

Journal of Cardiovascular Pharmacology and Therapeutics ◽

10.1177/10742484211024441 ◽

2021 ◽

pp. 107424842110244

Author(s):

Kazuhiko Kido ◽

Christopher Bianco ◽

Marco Caccamo ◽

Wei Fang ◽

George Sokos

Keyword(s):

Heart Failure ◽

Body Mass Index ◽

Propensity Score ◽

Ejection Fraction ◽

Clinical Outcomes ◽

Body Mass ◽

Normal Weight ◽

Reduced Ejection Fraction ◽

Propensity Score Weighting ◽

Patients With Heart Failure

Background: Only limited data are available that address the association between body mass index (BMI) and clinical outcomes in patients with heart failure with reduced ejection fraction who are receiving sacubitril/valsartan. Methods: We performed a retrospective multi-center cohort study in which we compared 3 body mass index groups (normal, overweight and obese groups) in patients with heart failure with reduced ejection fraction receiving sacubitril/valsartan. The follow-up period was at least 1 year. Propensity score weighting was performed. The primary outcomes were hospitalization for heart failure and all-cause mortality. Results: Of the 721 patients in the original cohort, propensity score weighting generated a cohort of 540 patients in 3 groups: normal weight (n = 78), overweight (n = 181), and obese (n = 281). All baseline characteristics were well-balanced between 3 groups after propensity score weighting. Among our results, we found no significant differences in hospitalization for heart failure (normal weight versus overweight: average hazard ratio [AHR] 1.29, 95% confidence interval [CI] = 0.76-2.20, P = 0.35; normal weight versus obese: AHR 1.04, 95% CI = 0.63-1.70, P = 0.88; overweight versus obese groups: AHR 0.81, 95% CI = 0.54-1.20, P = 0.29) or all-cause mortality (normal weight versus overweight: AHR 0.99, 95% CI = 0.59-1.67, P = 0.97; normal weight versus obese: AHR 0.87, 95% CI = 0.53-1.42, P = 0.57; overweight versus obese: AHR 0.87, 95% CI = 0.58-1.32, P = 0.52). Conclusion: We identified no significant associations between BMI and clinical outcomes in patients diagnosed with heart failure with a reduced ejection fraction who were treated with sacubitril/valsartan. A large-scale study should be performed to verify these results.

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Abstract P169: Health Literacy and Outcomes in Heart Failure: a Prospective Community Study

Circulation ◽

10.1161/circ.135.suppl_1.p169 ◽

2017 ◽

Vol 135 (suppl_1) ◽

Author(s):

Matteo Fabbri ◽

Kathleen Yost ◽

Lila Finney Rutten ◽

Sheila Manemann ◽

Susan Weston ◽

...

Keyword(s):

Heart Failure ◽

Health Literacy ◽

Proportional Hazards ◽

International Classification Of Diseases ◽

Cox Proportional Hazards ◽

Low Literacy ◽

Adequate Health Literacy ◽

Low Health Literacy ◽

Increased Risk

Background: Growing evidence documents the association between low health literacy and poorer health outcomes. However, less is known about the relationship between health literacy and outcomes among patients with heart failure (HF). We examined the association of health literacy with risk of hospitalization and mortality in patients with HF. Methods: Residents in an 11-county region in southeastern Minnesota with incident HF from 1/01/2013 to 3/31/2015 were identified using the International Classification of Diseases, Ninth Revision code 428 (n=3715) and prospectively surveyed to measure health literacy using established screening questions. A total of 1992 patients returned a survey (response rate 54%); 1779 patients with complete clinical data and adequate follow up were retained for analysis. Health literacy, measured as a composite on three 5-point scales, was categorized as adequate (≤ 10) or low (> 10). Cox proportional hazards regression and Andersen-Gill models were used to determine the association of health literacy with mortality and hospitalization. Results: Among 1779 patients (mean age 74, 53% male), 10% had low health literacy. After a mean follow-up of 8±4 months, 72 deaths and 600 hospitalizations occurred. Low health literacy was associated with increased mortality and hospitalizations (Figure). After adjusting for age, sex, comorbidity, education and marital status, the hazard ratio for death and hospitalization in patients with low health literacy was 2.84 (95% CI: 1.63, 4.96) and 1.43 (95% CI: 1.04, 1.96) respectively, compared to patients with adequate health literacy. Conclusions: Low health literacy is associated with increased risk of hospitalization and death among patients with HF. Health literacy is critical to the self-management demands of living with heart failure. Evaluation of health literacy in the clinical setting may guide inventions to target patients with low literacy.

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Association of poor sleep burden in middle age and older adults with risk for delirium during hospitalization

The Journals of Gerontology Series A ◽

10.1093/gerona/glab272 ◽

2021 ◽

Author(s):

Ma Cherrysse Ulsa ◽

Xi Zheng ◽

Peng Li ◽

Arlen Gaba ◽

Patricia M Wong ◽

...

Keyword(s):

Sleep Disturbances ◽

Proportional Hazards ◽

Time Lag ◽

Cox Proportional Hazards ◽

Poor Sleep ◽

Cardiovascular Risks ◽

Cox Proportional Hazards Models ◽

Increased Risk ◽

The Uk

Abstract Background Delirium is a distressing neurocognitive disorder recently linked to sleep disturbances. However, the longitudinal relationship between sleep and delirium remains unclear. This study assessed the associations of poor sleep burden, and its trajectory, with delirium risk during hospitalization. Methods 321,818 participants from the UK Biobank (mean age 58±8y[SD]; range 37-74y) reported (2006-2010) sleep traits (sleep duration, excessive daytime sleepiness, insomnia-type complaints, napping, and chronotype–a closely-related circadian measure for sleep timing), aggregated into a sleep burden score (0-9). New-onset delirium (n=4,775) was obtained from hospitalization records during 12y median follow-up. 42,291 (mean age 64±8; range 44-83y) had repeat sleep assessment on average 8y after their first. Results In the baseline cohort, Cox proportional hazards models showed that moderate (aggregate scores=4-5) and severe (scores=6-9) poor sleep burden groups were 18% (hazard ratio 1.18 [95% confidence interval 1.08-1.28], p<0.001) and 57% (1.57 [1.38-1.80], p<0.001), more likely to develop delirium respectively. The latter risk magnitude is equivalent to two additional cardiovascular risks. These findings appeared robust when restricted to postoperative delirium and after exclusion of underlying dementia. Higher sleep burden was also associated with delirium in the follow-up cohort. Worsening sleep burden (score increase ≥2 vs. no change) further increased the risk for delirium (1.79 [1.23-2.62], p=0.002) independent of their baseline sleep score and time-lag. The risk was highest in those under 65y at baseline (p for interaction <0.001). Conclusion Poor sleep burden and worsening trajectory were associated with increased risk for delirium; promotion of sleep health may be important for those at higher risk.

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Lopinavir/Ritonavir and Darunavir/Cobicistat in Hospitalized COVID-19 Patients: Findings From the Multicenter Italian CORIST Study

Frontiers in Medicine ◽

10.3389/fmed.2021.639970 ◽

2021 ◽

Vol 8 ◽

Author(s):

Augusto Di Castelnuovo ◽

Simona Costanzo ◽

Andrea Antinori ◽

Nausicaa Berselli ◽

Lorenzo Blandi ◽

...

Keyword(s):

Observational Study ◽

Propensity Scores ◽

Proportional Hazards ◽

Real Life ◽

Cox Proportional Hazards ◽

Event Analysis ◽

Multicenter Observational Study ◽

Protein Levels ◽

Cox Proportional Hazards Models ◽

Increased Risk

Background: Protease inhibitors have been considered as possible therapeutic agents for COVID-19 patients.Objectives: To describe the association between lopinavir/ritonavir (LPV/r) or darunavir/cobicistat (DRV/c) use and in-hospital mortality in COVID-19 patients.Study Design: Multicenter observational study of COVID-19 patients admitted in 33 Italian hospitals. Medications, preexisting conditions, clinical measures, and outcomes were extracted from medical records. Patients were retrospectively divided in three groups, according to use of LPV/r, DRV/c or none of them. Primary outcome in a time-to event analysis was death. We used Cox proportional-hazards models with inverse probability of treatment weighting by multinomial propensity scores.Results: Out of 3,451 patients, 33.3% LPV/r and 13.9% received DRV/c. Patients receiving LPV/r or DRV/c were more likely younger, men, had higher C-reactive protein levels while less likely had hypertension, cardiovascular, pulmonary or kidney disease. After adjustment for propensity scores, LPV/r use was not associated with mortality (HR = 0.94, 95% CI 0.78 to 1.13), whereas treatment with DRV/c was associated with a higher death risk (HR = 1.89, 1.53 to 2.34, E-value = 2.43). This increased risk was more marked in women, in elderly, in patients with higher severity of COVID-19 and in patients receiving other COVID-19 drugs.Conclusions: In a large cohort of Italian patients hospitalized for COVID-19 in a real-life setting, the use of LPV/r treatment did not change death rate, while DRV/c was associated with increased mortality. Within the limits of an observational study, these data do not support the use of LPV/r or DRV/c in COVID-19 patients.

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Prevalence and Prognostic Value of Heart Failure Stages: An Elderly Inpatient Based Cohort Study

Frontiers in Medicine ◽

10.3389/fmed.2021.639453 ◽

2021 ◽

Vol 8 ◽

Author(s):

Pei-Pei Zheng ◽

Si-Min Yao ◽

Di Guo ◽

Ling-ling Cui ◽

Guo-Bin Miao ◽

...

Keyword(s):

Heart Failure ◽

Cohort Study ◽

Prognostic Value ◽

Proportional Hazards ◽

Regression Tree ◽

Cox Proportional Hazards ◽

Hospitalized Patients ◽

Classification And Regression Tree ◽

Major Adverse Cardiovascular Events ◽

Cox Proportional Hazards Models

Background: The prevalence and prognostic value of heart failure (HF) stages among elderly hospitalized patients is unclear.Methods: We conducted a prospective, observational, multi-center, cohort study, including hospitalized patients with the sample size of 1,068; patients were age 65 years or more, able to cooperate with the assessment and to complete the echocardiogram. Two cardiologists classified all participants in various HF stages according to 2013 ACC/AHA HF staging guidelines. The outcome was rate of 1-year major adverse cardiovascular events (MACE). The Kaplan–Meier method and Cox proportional hazards models were used for survival analyses. Survival classification and regression tree analysis were used to determine the optimal cutoff of N-terminal pro-brain natriuretic peptide (NT-proBNP) to predict MACE.Results: Participants' mean age was 75.3 ± 6.88 years. Of them, 4.7% were healthy and without HF risk factors, 21.0% were stage A, 58.7% were stage B, and 15.6% were stage C/D. HF stages were associated with worsening 1-year survival without MACE (log-rank χ2 = 69.62, P < 0.001). Deterioration from stage B to C/D was related to significant increases in HR (3.636, 95% CI, 2.174–6.098, P < 0.001). Patients with NT-proBNP levels over 280.45 pg/mL in stage B (HR 2; 95% CI 1.112–3.597; P = 0.021) and 11,111.5 pg/ml in stage C/D (HR 2.603, 95% CI 1.014–6.682; P = 0.047) experienced a high incidence of MACE adjusted for age, sex, and glomerular filtration rate.Conclusions : HF stage B, rather than stage A, was most common in elderly inpatients. NT-proBNP may help predict MACE in stage B.Trial Registration: ChiCTR1800017204; 07/18/2018.

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Abstract P380: Coronary Artery Disease Extent is Predictive of Heart Failure Incidence After Myocardial Infarction

Circulation ◽

10.1161/circ.131.suppl_1.p380 ◽

2015 ◽

Vol 131 (suppl_1) ◽

Author(s):

Yariv Gerber ◽

Susan A Weston ◽

Maurice E Sarano ◽

Sheila M Manemann ◽

Alanna M Chamberlain ◽

...

Keyword(s):

Myocardial Infarction ◽

Heart Failure ◽

Coronary Artery Disease ◽

Coronary Artery ◽

Proportional Hazards ◽

Incidence Rates ◽

Cox Proportional Hazards ◽

Disease Extent ◽

Increased Risk ◽

Artery Disease

Background: Little is known about the association between coronary artery disease (CAD) and the risk of heart failure (HF) after myocardial infarction (MI), and whether it differs by reduced (HFrEF) or preserved (HFpEF) ejection fraction (EF) has yet to be determined. Subjects and Methods: Olmsted County, Minnesota residents (n=1,924; mean age, 64 years; 66% male) with first MI diagnosed in 1990-2010 and no prior HF were followed through 2013. Framingham Heart Study criteria were used to define HF, which was further classified according to EF (applying a 50% cutoff). The extent of angiographic CAD was defined at index MI according to the number of major epicardial coronary arteries with ≥50% lumen diameter obstruction. Fine & Gray and Cox proportional hazards regression models were used to assess the association of CAD categories with incidence of HF, and multiple imputation methodology was applied to account for the 19% with missing EF data. Results: During a mean (SD) follow-up of 6.7 (5.9) years, 594 patients developed HF. Adjusted for age and sex, with death considered a competing risk, the cumulative incidence rates of HF among patients with 1- (n=581), 2- (n=622), and 3-vessel disease (n=721) were 11.2%, 14.6% and 20.5% at 30 days; and 18.1%, 22.3% and 29.4% at 5 years after MI, respectively. The increased risk of HF with greater number of occluded vessels was only modestly attenuated after further adjustment for patient and MI characteristics, and did not differ materially by EF (Table). Conclusions: The extent of angiographic CAD expressed by the number of diseased vessels is independently associated with HF incidence after MI. The association is evident promptly after MI and applies to both HFrEF and HFpEF.

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