There is a U shaped association between non high density lipoprotein cholesterol with overall and cardiovascular mortality in chronic kidney disease stage 3-5

Non-high-density lipoprotein cholesterol levels as a risk factor for short-term mortality in elderly Chinese: a large-scale, population-based cohort study

OBJECTIVES

To explore the association between non-high-density lipoprotein (non-HDL) and mortality risk, both short-term and long-term, in Chinese people.

DESIGN

A prospective cohort study.

SETTING

The National Basic Public Health Service (BPHS) in China.

PARTICIPANTS

Including 621 164 elderly individuals around Hunan Province who underwent healthcare management receiving check-ups in China BPHS from 2010 to 2020.

EXCLUSION CRITERIA

(1) missing information on gender; (2) missing records of lipid screening; (3) missing information on key covariates; and (4) missing records of comorbidities (cardiovascular disease, hypertension, diabetes, cancer.) PRIMARY AND SECONDARY OUTCOME MEASURES: The study's primary endpoint was all-cause and cause-specific mortality, sourced from Hunan's CDC(Center for Disease Control and Prevention)-operated National Mortality Surveillance System, tracking participants until 24 February 2021.

RESULTS

26 758 (4.3%) deaths were recorded, with a median follow-up of 0.83 years. Association between non-HDL and mortality was non-linear after multivariable adjustment, with the optimum concentration (OC) being 3.29 and 4.85 mmol/L. Compared with OC, the risk increased by 1.12-fold for non-HDL <3.29 mmol/L (HR: 1.12 (1.09 to 1.15)) and 1.08-fold for non-HDL ≥4.85 mmol/L (HR: 1.08 (1.02 to 1.13)) for all-cause mortality. Furthermore, there is also an increased risk of cardiovascular mortality (HR for non-HDL <3.29: 1.10 (1.06 to 1.32) and HR for non-HDL ≥4.85: 1.07 (1.01 to 1.14)). However, cancer mortality risk was significantly increased only for non-HDL <3.29 mmol/L (HR: 1.11 (1.04 to 1.18)). Non-optimum concentration of non-HDL had significant effects on both the long-term and the short-term risk of mortality, especially for risks of mortality for all-cause (log HR:0 .086 (0.038 to 0.134)), cardiovascular (log HR:0 .082 (0.021 to 0.144)), and cancer (log HR:0 .187 (0.058 to 0.315)) within 3 months. A two-sided value of p <0.05 was considered to be statistically significant.

CONCLUSIONS

Non-HDL was non-linearly associated with the risk of mortality, and non-optimal concentrations of non-HDL significantly increased short-term mortality in elderly Chinese, which needs more attention for cardiovascular disease prevention.

The U-shaped association of non-high-density lipoprotein cholesterol with all-cause and cardiovascular mortality in general adult population

Background

Non-high-density lipoprotein cholesterol (non-HDL-C) has been associated with atherosclerosis. However, the association between non-HDL-C and mortality in adult population remains unclear. We intended to investigate the association of non-HDL-C with cardiovascular and all-cause mortality using national representative data.

Methods

The study included 32,405 participants from the National Health and Nutrition Examination Survey (1999-2014). Mortality outcomes were ascertained by linkage to National Death Index records through December 31, 2015. Multivariable-adjusted Cox regression models were used to evaluate hazard ratio (HR) and 95% confidence interval (CI) of non-HDL-C concentrations in quintiles. Two-piecewise linear regression and restricted cubic spline analyzes were performed to test dose-response associations.

Results

After a median follow-up of 98.40  months, 2,859 (8.82%) all-cause and 551 (1.70%) cardiovascular deaths occurred. Compared with the highest group, the multivariable-adjusted hazard ratio (HR) of the first quintile for all-cause mortality was 1.53 (95%CI, 1.35-1.74). Higher non-HDL-C above a cutoff value of 4.9 mmol/L was related with cardiovascular mortality (HR = 1.33, 95%CI, 1.13-1.57). A U-shaped relationship between non-HDL-C and all-cause mortality was found in spline analysis with a cutoff value around 4 mmol/L. Similar results in subgroups analyzes were found among male, non-white population, participants who were not taking lipid-lowering drugs, and with body mass index (BMI) <25 kg/m².

Conclusion

Our findings suggest a U-shaped association between non-HDL-C and mortality among adult population.

Non-High-Density Lipoprotein Cholesterol and Cardiovascular Outcomes in Chronic Kidney Disease: Results from KNOW-CKD Study

As non-high-density lipoprotein cholesterol (non-HDL-C) levels account for all atherogenic lipoproteins, serum non-HDL-C level has been suggested to be a marker for cardiovascular (CV) risk stratification. Therefore, to unveil the association of serum non-HDL-C levels with CV outcomes in patients with non-dialysis chronic kidney disease (ND-CKD), the patients at stages 1 to 5 (n = 2152) from the Korean Cohort Study for Outcomes in Patients with Chronic Kidney Disease (KNOW-CKD) were prospectively analyzed. The subjects were divided into quintiles by serum non-HDL-C level. The primary outcome was a composite of all-cause death or non-fatal CV events. The median duration of follow-up was 6.940 years. The analysis using the Cox proportional hazard model unveiled that the composite CV event was significantly increased in the 5th quintile (adjusted hazard ratio 2.162, 95% confidence interval 1.174 to 3.981), compared to that of the 3rd quintile. A fully adjusted cubic spline model depicted a non-linear, J-shaped association between non-HDL-C and the risk of a composite CV event. The association remained robust in a series of sensitivity analyses, including the analysis of a cause-specific hazard model. Subgroup analyses reveled that the association is not significantly altered by clinical conditions, including age, gender, body mass index, estimated glomerular filtration rate, and albuminuria. In conclusion, high serum non-HDL-C level increased the risk of adverse CV outcomes among the patients with ND-CKD. Further studies are warranted to define the optimal target range of non-HDL-C levels in this population.

U-Shaped Relationship of Non-HDL Cholesterol With All-Cause and Cardiovascular Mortality in Men Without Statin Therapy

Background

Non-HDL-C is well established causal risk factor for the progression of atherosclerotic cardiovascular disease. However, there remains a controversial pattern of how non-HDL-C relates to all-cause and cardiovascular mortality, and the concentration of non-HDL-C where the risk of mortality is lowest is not defined.

Methods

A population-based cohort study using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. Male participants without statin therapy were divided into the six groups according to non-HDL-C levels (<100, 100–129, 130–159, 160–189, 190–219, ≥220 mg/dl). Multivariable Cox proportional hazards models were conducted with a hazard ratio (HR) and corresponding 95% confidence interval (CI). To further explore the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline curves, and subgroup analysis were performed.

Results

Among 12,574 individuals (average age 44.29 ± 16.37 years), 1,174(9.34%) deaths during a median follow-up 98.38 months. Both low and high non-HDL-C levels were significantly associated with increased risk of all-cause and cardiovascular mortality, indicating a U-shaped association. Threshold values were detected at 144 mg/dl for all-cause mortality and 142 mg/dl for cardiovascular mortality. Below the threshold, per 30 mg/dl increase in non-HDL-C reduced a 28 and 40% increased risk of all-cause (p < 0.0001) and cardiovascular mortality (p = 0.0037), respectively. Inversely, above the threshold, per 30 mg/dl increase in non-HDL-C accelerated risk of both all-cause mortality (HR 1.11, 95% CI 1.03–1.20, p = 0.0057) and cardiovascular mortality (HR 1.30, 95% CI 1.09–1.54, p = 0.0028).

Conclusions

Non-HDL-C was U-shaped related to all-cause and cardiovascular mortality among men without statin therapy.

Prognostic Roles of Inflammation- and Nutrition-Based Indicators for Female Patients with Cancer

Purpose

The incidence, progression, and prognosis of cancer could be affected by inflammation and nutrition. Female patients have different inflammatory and nutritional states depending on their age and tumor types. It is important to screen for suitable prognostic indicators in female patients with cancer of different ages and tumor types.

Patients and Methods

Baseline clinicopathologic and laboratory characteristics of 1502 female patients with cancer were obtained from a multicenter cohort study. Concordance indices (C-indices) were used to evaluate the prediction accuracy of following inflammation- and nutrition-based indicators: advanced lung cancer inflammation index (ALI), systemic immune inflammation index (SII), modified geriatric nutritional risk index (mGNRI), albumin-to-globulin ratio (AGR), prognostic nutritional index (PNI), lymphocyte-to-C-reactive protein ratio (LCR), controlling nutritional status score (CONUT), modified Glasgow prognostic score (mGPS), and lymphocyte-to-C-reactive protein score (LCS).

Results

The most suitable indicators in different female populations with cancer had C-indices as follows: LCR (0.668; 95% CI, 0.644–0.693) for all females; AGR (0.681; 95% CI, 0.619–0.743) for young females; LCR (0.667; 95% CI, 0.628–0.706) for middle-aged females; ALI (0.597; 95% CI, 0.574–0.620) for elderly females; LCR (0.684; 95% CI, 0.621–0.747) for females with reproductive system cancer; and ALI (0.652; 95% CI, 0.624–0.680) for females with non-reproductive system cancer.

Conclusion

The most suitable indicators for the different female populations with cancer are summarized as follows: LCR for all females, AGR for young females, LCR for middle-aged females, ALI for elderly females, LCR for females with reproductive system cancer, and ALI for females with non-reproductive system cancer.

The U-Shaped Association of Non-High-Density Lipoprotein Cholesterol Levels With All-Cause and Cardiovascular Mortality Among Patients With Hypertension

Background: Non-high-density lipoprotein cholesterol (non-HDL-C) is a valuable indicator in routine blood lipid tests, but the associations of non-HDL-C with mortality in hypertensive population still remain uncertain.

Methods: In the National Health and Nutrition Examination Surveys from 1999 to 2014, participants having hypertension were included and grouped by non-HDL-C levels (<130, 130–159, 160–189, 190–219, and ≥220 mg/dl). Multivariate Cox regression was conducted for calculation of hazard ratios (HR) and 95% confidence interval (CI). To reveal the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline, linear regression, and subgroup analysis were also applied.

Results: A total of 12,169 participants (47.52% males, mean age 57.27 ± 15.79 years) were included. During average follow-up of 92.5 months, 1,946 (15.99%) all-cause deaths and 422 (3.47%) cardiovascular deaths occurred. After adjusting for confounders, the association of non-HDL-C with mortality was detected as U-shaped. Threshold values were observed at 158 mg/dl for all-cause mortality and 190 mg/dl as to cardiovascular mortality. Below the threshold, every 10 mg/dl increment in non-HDL-C attributed to relatively low all-cause mortality significantly (HR = 0.94, 95% CI: 0.92–0.96). Above the threshold, non-HDL-C has significant positive associations with both all-cause (HR = 1.03, 95% CI: 1.01–1.05) and cardiovascular mortality (HR = 1.09, 95% CI: 1.05–1.14). For subgroups analysis, similar results were found among participants age <65 years old, non-white population, those were not taking lipid-lowering drugs, and subjects with body mass index (BMI) ≥25 kg/m².

Conclusion: The U-shaped association was detected between non-HDL-C and mortality among hypertensive population.

Impacts of Heart Failure and Physical Performance on Long-Term Mortality in Old Patients With Chronic Kidney Disease

Background: In patients with chronic kidney disease (CKD), physical functional limitations and heart failure (HF) are common, and each is associated with adverse outcomes. However, their joint effects on mortality are not clear.

Design and Methods: Using administration data from the geriatric department in a tertiary hospital, retrospective longitudinal analyses of patients aged ≥65 years with CKD were consecutively enrolled from February 2010 to November 2015. Baseline CKD stages, HF with reduced and preserved ejection fraction (HFrEF and HFpEF), Rockwood frailty index, handgrip strength (HGS), 6-m walking speed, and timed up-and-go test were used to predict the prevalence of frailty, physical disability, and all-cause mortality.

Results: Among 331 old patients with CKD, their mean age was 81.3 ± 6.6 years. CKD stages showed the following distributions: stage 3, 74.9%; stage 4, 15.7%; stage 5, 9.4%. The prevalence of HF was 23.3%, and Rockwood frailty was 74.3%. Rockwood frailty and HF were both significantly associated with CKD stages. After a mean follow-up period of 3.1 ± 2.1 years, 44 patients died, and a crude analysis showed that stage 4, stage 5 CKD, low HGS, and Rockwood frailty index were associated with mortality. Regarding the survival of these patients, the adjusted mortality hazard ratio for CKD stage 5 was 3.84 against stage 3A [95% confidence interval (CI) 1.51–9.75], 1.04 (95% CI 1.01–1.07) for higher Rockwood frailty score, 4.78 (95% CI 1.26–18.11) for HFrEF, and 3.47 (95% CI 1.15–10.42) for low HGS. Survival analysis using Kaplan–Meier survival plots showed that patients with both HF and poor HGS had the poorest survival.

Conclusions: Our study shows that both low physical performance and HF were common in old CKD patients and were associated with CKD stages. HF, frailty, and HGS all independently predicted the mortality of these CKD patients. The mortality is especially high amongst individuals with both HF and decreased HGS.

CHA2DS2-VASc Score as a Predictor of Cardiovascular and All-Cause Mortality in Chronic Kidney Disease Patients

INTRODUCTION

Chronic kidney disease (CKD) is a risk factor for cardiovascular and all-cause mortality. Recognition of high-risk patients is important and could lead to a different approach and better treatment. The CHA2DS2-VASc score was originally used to predict cerebral infarction in patients with atrial fibrillation (AF), but it is also a useful predictor of outcome in other cardiovascular conditions, independent of AF. Therefore, the aim of our research was to assess the role of CHA2DS2-VASc score in predicting cardiovascular and all-cause mortality in CKD patients.

METHODS

Stable nondialysis CKD patients were included. At the time of inclusion, medical history data and standard blood results were collected and CHA2DS2-VASc score was calculated. Patients were followed till the same end date, until kidney transplantation or until their death.

RESULTS

Eighty-seven CKD patients were included (60.3 ± 12.8 years, 66% male). Mean follow-up time was 1,696.5 ± 564.6 days. During the follow-up, 21 patients died and 11 because of cardiovascular reasons. Univariate Cox regression analysis showed that CHA2DS2-VASc score is a significant predictor of cardiovascular and all-cause mortality. In multivariate Cox regression analysis, in which CHA2DS2-VASc score, serum creatinine, urinary albumin/creatinine, hemoglobin, high-sensitivity C-reactive protein, and intact parathyroid hormone were included, CHA2DS2-VASc score was an independent predictor of cardiovascular (HR: 2.04, CI: 1.20-3.45, p = 0.008) and all-cause mortality (HR: 2.06, CI: 1.43-2.97, p = 0.001). The same was true after adding total cholesterol, triglycerides, and smoking status to both the analyses.

CONCLUSION

The CHA2DS2-VASc score is a simple, practical, and quick way to identify the risk for cardiovascular and all-cause mortality in CKD patients.