The positive predictive value of low-density lipoprotein for recurrence-free survival in ovarian cancer

2018 ◽  
Vol 143 (2) ◽  
pp. 232-238 ◽  
Author(s):  
Fangfang Zhu ◽  
Xinxin Xu ◽  
Beibei Shi ◽  
Linchai Zeng ◽  
Luhui Wang ◽  
...  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Li Xu ◽  
Xu Chen ◽  
Jingfen Lu ◽  
Yan Xu ◽  
Honglin Yang ◽  
...  

Abstract Background As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chinese elderly patients with type 2 diabetes mellitus (DM). Methods A total of 386 consecutive type 2 DM patients were included into this study during December 2014 to December 2016. The serum sdLDL-C level of each subject was measured by homogeneous method. During a period of 48-month’s follow-up, the occurrence of CVs and associated clinical information were recorded. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serum sdLDL-C to occurrence of major CVs. Results A total of 92 CVs occurred during the study period. The ROC curve analysis manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, Kaplan-Meier event-free survival curves displayed an obvious increase of CVs risk for sdLDL‐C ≧ 26 mg/dL (log-rank = 9.10, P = 0.003). This phenomenon had analogous results in patients who received statins at baseline (log rank = 7.336, P = 0.007). Cox regression analysis revealed that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (ApoB) and the decrease in apolipoprotein AI (ApoAI) were obviously interrelated with heightened CVs risk. Multiple Cox regression demonstrated that the increase of sdLDL-C and hemoglobin A1c (HbA1c) was significantly correlated with CVs. The results of the study indicated that high sdLDL-C level (> 10 mg/dL) was a risk factor for CVs in the multivariate model (HR 1.281, 95% CI 1.225–16.032; P < 0.01). Conclusion sdLDL-C level could be an effective predictor in predicting the future CVs for Chinese elderly patients with type 2 DM and dyslipidemia.


2021 ◽  
Author(s):  
Qingqing Lin ◽  
Wenchao Liu ◽  
Song Xu ◽  
Liping Sun

Abstract Background The effect of serum lipids on ovarian cancer is controversial. We conduct this study to evaluate the prognostic value of preoperative plasma lipid profile in patients with ovarian cancer. Methods The medical records of 156 epithelial ovarian cancer patients who underwent surgical resection in our department were retrospectively reviewed and analyzed. Serum lipids profiles, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), apolipoprotein A-Ⅰ (apoA-Ⅰ), apolipoprotein B (apoB) and clinicopathologic data were analyzed. Cox proportional hazards regression analyses and Kaplan-Meier method were performed to evaluate the overall survival (OS) and progression-free survival (PFS). Results Multivariable Cox regression analysis found that preoperative higher LDL-C level was significantly associated with worse OS (HR 2.088, 95% CI 1.052–4.147, p = 0.035), whereas higher HDL-C level showed significant association with better PFS (HR 0.491, 95% CI 0.247–0.975, p = 0.042). Further Kaplan–Meier survival analysis demonstrated that OS was longer for patients with low levels of LDL-C (< 2.76 mmol/L) compared to those with high levels of LDL-C (≥ 2.76 mmol/L) (P = 0.028), and PFS was better for patients with high levels of HDL-C (≥ 1.19 mmol/L) compared to those with low levels of HDL-C (< 1.19 mmol/L) (P = 0.001). Conclusions Preoperative HDL-C and LDL-C levels are significant predictors of clinical outcome in patients with epithelial ovarian cancer.


2021 ◽  
Author(s):  
Qingqing Lin ◽  
Wenchao Liu ◽  
Song Xu ◽  
Liping Sun

Abstract Background: The effect of serum lipids on ovarian cancer is controversial. We conduct this study to evaluate the prognostic value of preoperative plasma lipid profile in patients with ovarian cancer.Methods: The medical records of 156 epithelial ovarian cancer patients who underwent surgical resection in our department were retrospectively reviewed and analyzed. Serum lipids profiles, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), apolipoprotein A-Ⅰ (apoA-Ⅰ), apolipoprotein B (apoB) and clinicopathologic data were analyzed. Cox proportional hazards regression analyses and Kaplan-Meier method were performed to evaluate the overall survival (OS) and progression-free survival (PFS).Results: Multivariable Cox regression analysis found that preoperative higher LDL-C level was significantly associated with worse OS (HR 2.088, 95% CI 1.052-4.147, p = 0.035), whereas higher HDL-C level showed significant association with better PFS (HR 0.491, 95% CI 0.247-0.975, p = 0.042). Further Kaplan–Meier survival analysis demonstrated that OS was longer for patients with low levels of LDL-C (< 2.76 mmol/L) compared to those with high levels of LDL-C (≥ 2.76 mmol/L) (P = 0.028), and PFS was better for patients with high levels of HDL-C (≥ 1.19 mmol/L) compared to those with low levels of HDL-C (< 1.19 mmol/L) (P = 0.001).Conclusions: Preoperative HDL-C and LDL-C levels are significant predictors of clinical outcome in patients with epithelial ovarian cancer.


Author(s):  
Abha Singh ◽  
Avinashi Kujur ◽  
Parul Jain

Background: This study was aimed to evaluate the association of lipid profile with development of feto-maternal complications.Methods: This observational study was carried out in the Department of Obstetrics and Gynecology, Pt. J.N.M. Medical College Raipur during August 2015-November 2016. Total 200 study subjects were evaluated who were having normal lipid profile in 1st trimester.Results: Out of 200 antenatal women recruited in our study, 129 had normal lipid profile throughout pregnancy and 71 women developed dyslipidemia.89 % of those women having normal lipid profile did not develop any maternal or perinatal complication, showing a high negative predictive value (88.72%) and high specificity of 91.47%. We observed that the onset of dyslipidemia occurred in 2nd trimester and it was progressive. About 83.58 % of them developed toxemia of pregnancy (GHTN, preeclampsia, eclampsia), positive predictive value of 83.58%. The levels of TC (total cholesterol), TG(triglyceride), VLDL (very low-density lipoprotein) and LDL (low density lipoprotein) were significantly (p<0.0001) higher in hypertensive women than normotensive women. Dyslipidemic women have developed significant (p= 0.00001) level of perinatal complications like preterm (18.05%), IUGR (15.28%) and IUD (13.89%). Sensitivity- 78.9, Specificity- 88.72, Positive likelihood ratio-9.25, Negative likelihood ratio- 0.23.Conclusions: Early pregnancy dyslipidemia was significantly associated with an increased risk of preeclampsia and eclampsia. Thus, evaluating dyslipidemia in 1st and 2nd trimester may help in early prediction and management of maternal as well as fetal complication.


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