Dataset Information

Association between total cholesterol levels and all-cause mortality among newly diagnosed patients with cancer.

ABSTRACT: We aimed to determine the association between cholesterol values and the risk of all-cause mortality in newly diagnosed patients with cancer in a large-scale longitudinal cohort. Newly diagnosed patients with cancer were reviewed retrospectively. Cox proportional hazards regression models determined the association between baseline levels of total cholesterol (TC), triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol and the risk of all-cause mortality. A restricted cubic spline curve was used to identify the association between total cholesterol (TC) and low-density lipoprotein (LDL) cholesterol with the risk of death on a continuous scale and to present the lowest values of lipid measurements associated with death. The median follow-up duration of the study was 5.77 years. Of the 59,217 patients with cancer, 12,624 patients were expired. The multivariable adjusted hazard ratio (aHR) for all-cause mortality in patients with cancer with 1st-5th (≤ 97 mg/dL) and 96th-100th (> 233 mg/dL) in TC levels was 1.54 (95% CI 1.43-1.66) and 1.28 (95% CI 1.16-1.41), respectively, compared to 61st-80th (172-196 mg/dL). The TC level associated with the lowest mortality risk in the multivariable model was 181 mg/dL. In comparison with LDL-C levels in the 61st-80th (115-136 mg/dL), the multivariable aHR for all-cause mortality in cancer patients with LDL-C levels in the 1st-5th (≤ 57 mg/dL) and 96th-100th (> 167 mg/dL) was 1.38 (95% CI 1.14-1.68) and 0.94 (95% CI 0.69-1.28), respectively. The 142 mg/dL of LDL cholesterol showed the lowest mortality risk. We demonstrated a U-shaped relationship between TC levels at baseline and risk of mortality in newly diagnosed patients with cancer. Low LDL levels corresponded to an increased risk of all-cause death.

SUBMITTER: Kim S

PROVIDER: S-EPMC10761709 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Association between total cholesterol levels and all-cause mortality among newly diagnosed patients with cancer.

Kim Seohyun S Kim Gyuri G Cho So Hyun SH Oh Rosa R Kim Ji Yoon JY Lee You-Bin YB Jin Sang-Man SM Hur Kyu Yeon KY Kim Jae Hyeon JH

Scientific reports 20240102 1

We aimed to determine the association between cholesterol values and the risk of all-cause mortality in newly diagnosed patients with cancer in a large-scale longitudinal cohort. Newly diagnosed patients with cancer were reviewed retrospectively. Cox proportional hazards regression models determined the association between baseline levels of total cholesterol (TC), triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol and the risk of all-cause mortality. A ...[more]

PMID: 38168969

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Project description:BackgroundThe link between total cholesterol (TC) and all-cause and specific mortality has not been elucidated. Herein, we aimed to evaluate the effect of TC levels on all-cause, cardiovascular disease (CVD), and cancer mortality.MethodsAll data analyzed were obtained from the National Health and Nutrition Examination Survey 1999-2014. The relationship between levels of TC and mortality was determined through Cox proportional hazard regression analysis coupled with multivariable adjustments. Two-piecewise linear regression models and Cox models with penalized splines were applied to explore nonlinear and irregular shape relationships. Kaplan-Meier survival curve and subgroup analyses were conducted.ResultsThe sample studied comprised 14,662 men and 16,025 women, categorized as 25,429 adults aged 18-65 and 5,258 adults over 65 years old. A total of 2,570 deaths were recorded. All-cause, cardiovascular, and cancer mortality showed U-curve associations after adjusting for confounding variables in the restricted cubic spline analysis. Hazard ratios (HRs) of all-cause and cancer mortality were particularly negatively related to TC levels in the lower range < 200 mg/dL, especially in the range < 120 mg/dL (HR 1.97; 95% CI 1.38, 2.83, HR 2.39; 95% CI 1.21, 4.71, respectively). However, the HRs of cardiovascular disease mortality in the range < 120 mg/dL were the lowest (HR 0.60; 95% CI 0.15, 2.42). In the upper range, a TC range of ≥ 280 mg/dL was correlated with mortality as a result of CVD and cancer (HR 1.31; 95% CI 0.87, 1.97 and HR 1.22; 95% CI 0.82, 1.79). The lowest cumulative survival rate of all-cause mortality was recorded in the lowest TC-level group, while the lowest cumulative survival rate of CVD mortality was recorded in the highest TC-level group.ConclusionsA nonlinear association of TC level with all-cause, cancer, and CVD mortality in the American population was observed, suggesting that too low or too high serum total cholesterol levels might correlate with adverse outcomes.

Project description:BackgroundIntracerebral hemorrhage (ICH) is associated with high mortality and morbidity rates. Although some studies have indicated a correlation between serum bilirubin levels and ICH severity, evidence of the relationship between serum total bilirubin (TBIL) and ICH outcomes remains lacking.MethodsA total of 914 patients from the Medical Information Mart for Intensive Care IV database met the eligibility criteria and were included in the study. The patients were categorized into two groups based on whether they survived for 28 days following admission to hospital. The association between serum TBIL levels and 28-day survival in patients with ICH was investigated using Spearman's correlation analysis and restricted cubic splines. The effect of serum TBIL levels on survival time and rate in the 28-day period was analyzed using Kaplan-Meier curves and restricted mean survival times. Univariate Cox regression, least absolute shrinkage and selection operator regression, and multivariate Cox regression were used to identify risk factors associated with 28-day all-cause mortality. Finally, subgroup analysis was performed to verify the stability of the association between serum TBIL levels and 28-day all-cause mortality in patients with ICH.ResultsA negative relationship was revealed between TBIL levels and survival (p < 0.001, correlation = -0.174). Restricted cubic spline analysis revealed a nonlinear link between mean serum TBIL levels and 28-day all-cause mortality (p for nonlinear = 0.001). Patients with ICH and higher serum TBIL levels had significantly reduced survival times and rates compared with those with lower serum TBIL levels (p < 0.001). Serum TBIL level was identified as a significant risk factor for 28-day all-cause mortality in patients with ICH (hazard ratio [95% confidence interval] = 1.121 [1.063-1.182], p < 0.001). Subgroup analyses revealed that the assessed variables had no influence on the association between serum TBIL levels and 28-day all-cause mortality.ConclusionHigher serum TBIL levels are associated with a greater risk of mortality within 28 days in patients with ICH, whereas lower serum TBIL levels are associated with prolonged survival.

Project description:There is accumulating evidence that serum levels of non-high-density lipoprotein cholesterol (non-HDL-C) are a more accurate predictor of cardiovascular outcomes when compared with low-density lipoprotein cholesterol. However, we recently found that higher serum concentrations of triglycerides are associated with better outcomes in patients undergoing hemodialysis. Therefore, we hypothesized that the association of serum levels of non-HDL-C (which includes triglyceride-rich lipoproteins) with outcomes may also be different in patients undergoing hemodialysis when compared with other patient populations. We studied the association of baseline and time-dependent serum levels of non-HDL-C with all-cause and cardiovascular mortality using Cox proportional hazard regression models in a nationally representative cohort of 50 118 patients undergoing incident hemodialysis from January 1, 2007, to December 31, 2011. In time-dependent models adjusted for case mix and surrogates of malnutrition and inflammation, a graded inverse association between non-HDL-C level and mortality was demonstrated with hazard ratios (95% confidence intervals) of the lowest (<60 mg/dL) and highest (≥160 mg/dL) categories: 1.88 (1.72-2.06) and 0.73 (0.64-0.83) for all-cause mortality and 2.07 (1.78-2.41) and 0.75 (0.60-0.93) for cardiovascular mortality, respectively (reference, 100-115 mg/dL). In analyses using baseline values, non-HDL-C levels <100 mg/dL were also associated with significantly higher mortality risk across all levels of adjustment. Similar associations were found when evaluating non-HDL/HDL cholesterol ratio and mortality, with the highest all-cause and cardiovascular mortality being observed in patients with decreased non-HDL/HDL-C ratio (<2.5). Contrary to the general population, decrements in non-HDL-C and non-HDL/HDL cholesterol ratio were paradoxically associated with increased all-cause and cardiovascular mortality in patients undergoing incident hemodialysis. The underlying mechanisms responsible for these associations await further investigation.

Project description:BackgroundAlkaline phosphatase (ALP) reflects changes in the condition of multiple myeloma (MM) patients to some extent. However, the relationship of ALP in MM remains uncertain. Our study aimed to determine the association between initial ALP levels and overall survival in newly diagnosed MM patients.MethodsClinical data from 202 newly diagnosed MM patients at Beijing Chaoyang Hospital between 2012 and 2016 were collected. Baseline characteristics, disease progression staging, serum markers, and patient survival data were recorded. The cut-off value for ALP was calculated based on patient survival data, and patients were divided into groups. Differences in patients' 3- and 5-year survival rates, liver function, bone disease and other indicators among different groups were compared. Independent risk factors influencing newly diagnosed MM patients were identified using COX regression analysis.ResultsPatients were categorized into three groups based on ALP cut-off points: Group 1 (ALP <70 U/L), Group 2 (ALP 70 to <120 U/L), and Group 3 (ALP ≥120 U/L). Significant differences were observed in lactate dehydrogenase, serum calcium, white blood cell count, hemoglobin, and liver function indicators (including alanine aminotransferase, aspartate aminotransferase, albumin, and γ-glutamyl transferase) among different ALP groups (P<0.05). ALP levels varied significantly among patients with different bone disease grades (P<0.05). Median survival times for Groups 1, 2, and 3 were 25, 52, and 31 months, respectively. Group 2 exhibited significantly higher 3-year survival compared to the other two groups (P=0.006), while no significant difference was observed in 5-year survival among the three groups (P=0.51). Age, International Staging System staging, aspartate aminotransferase, β2-microglobulin, ALP grading, and severe bone disease were identified as independent factors influencing survival in newly diagnosed patients (P<0.05).ConclusionsALP levels are correlated with the prognosis of MM patients, and an ALP range of 70 to <120 U/L reflects a better survival expectation.

Dataset Information

Association between total cholesterol levels and all-cause mortality among newly diagnosed patients with cancer.

Publications

Association between total cholesterol levels and all-cause mortality among newly diagnosed patients with cancer.

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