Predictive value of early postoperative blood lipid metabolism for anastomotic leakage after esophageal cancer surgery.
To explore the clinical value of assessing early postoperative blood lipid metabolism levels in predicting anastomotic leakage (AL) after esophageal cancer (EC) surgery.
The clinical data of EC patients who underwent surgery at the Northern Jiangsu People's Hospital from May 2021 to May 2023 were retrospectively studied. Totally, 28 patients who developed AL were included in the AL group, while 110 patients who did not develop AL were included in the non-AL group. Outcomes compared between the two groups included clinical baseline data, total cholesterol (TC), triglycerides, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels. Logistic regression analysis was performed to identify independent risk factors for postoperative AL. The predictive value of early postoperative blood lipid metabolism levels for AL was evaluated using Receiver Operating Characteristic (ROC) curves.
The AL group exhibited significantly elevated levels of TC and LDL-C but significantly reduced HDL-C levels compared to the non-AL group (all P<0.05). However, there was no significant difference in triglyceride levels between the two groups (P>0.05). Logistic regression analysis revealed that low BMI (P=0.012; OR: 4.409; 95% CI: 1.391-13.976), comorbid hypertension (P=0.011; OR: 5.891; 95% CI: 1.492-23.259), comorbid diabetes (P=0.022; OR: 4.522; 95% CI: 1.238-16.521), low HDL-C (P=0.007; OR: 19.965; 95% CI: 2.293-173.809), and high LDL-C (P=0.012; OR: 4.321; 95% CI: 1.388-13.449) were independent risk factors for developing AL after EC surgery. The combined prediction model using TC, HDL-C, and LDL-C yielded an area under the curve (AUC) of 0.876, with a sensitivity of 79.09%, specificity of 85.71%, and overall accuracy of 80.44%, significantly outperforming individual lipid measurements.
The combined assessment of TC, HDL-C, and LDL-C can effectively predict the occurrence of AL after EC surgery. For EC patients with relatively low BMI, hypertension, diabetes, relatively low HDL-C, and relatively high LDL-C, prioritizing weight management, hypertension and diabetes control, and lipid management can significantly reduce the risk of AL post-surgery.
Fan Y
,Bao X
,Lv X
,He W
,Yue J
,Zou H
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《American Journal of Translational Research》
Correlation Analysis and Intervention Study on Disturbance of Lipid Metabolism and Diabetic Peripheral Neuropathy.
To explore the significance and clinical value of dynamic monitoring of lipid metabolism indexes in patients with diabetic peridiabetic lesions.
A total of 192 patients with type 2 diabetes (T2DM) treated in our hospital from October 2019 to July 2021 were divided into two groups according to whether they were complicated with peripheral neuropathy (DPN). The patients in the observation group were randomly assigned into group A (n = 45) and group B (n = 45) according to the method of random number table. The patients were assigned into control group (n = 102) and observation group (n = 90), and the patients in the observation group were randomly divided into two groups (n = 45). All the patients in the three groups were given routine hypoglycemic treatment, and group B was observed to dynamically monitor the indexes of lipid metabolism and regulate blood lipids on the basis of routine hypoglycemic treatment. The indexes of lipid metabolism, including total cholesterol (TC), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C)/low-density lipoprotein cholesterol (LDL-C), were detected before treatment. The receiver operating curve (ROC) was applied to elucidate the efficacy of TC, TG, and HDL-C and LDL-C in predicting peripheral neuropathy (DPN) in patients with T2DM. The indexes of lipid metabolism and neurological function of patients were determined after the treatment. The difference was considered to be statistically significant (P < 0.05).
In contrast to the control, the serum levels of TG, TC, and LDL-C in the observation group were significantly higher, with HDL-C significantly lower. ROC curve analysis indicated that the area under the curve (AUC) of serum TG level to predict peripheral neuropathy in patients with T2DM was 0.753 (95% CI = 0.604 - 0.901, P = 0.007). When the Youden index reached the maximum (0.677), with corresponding sensitivity and specificity 77.18% and 82.58%, respectively, and the critical value was 2.31 mmol/L, the AUC of serum TC level for predicting peripheral neuropathy in patients with T2DM was 0.851 (95% CI = 0.735 ~ 0.967P < 0.001); when the Youden index reaches its maximum (0.750), with the sensitivity and specificity 84.44% and 92.06%, respectively, and the critical value is 4.52 mmol/L, the AUC of predicting peripheral neuropathy in patients with T2DM by serum LDL-C level was 0.799 (95% CI = 0.52 ~ 0.946, P = 0.001); when the Youden index reaches its maximum (0.706), with sensitivity and specificity 80.58% and 87.24%, respectively, and the critical value is 3.36 mmol/L, the AUC of serum HDL-C level for predicting DPN in patients with T2DM was 0.727 (95% CI = 0.568 ~ 0.886P = 0.014). When the Youden index reached the maximum (0.640), the sensitivity and specificity were 74.56% and 83.25%, respectively, the critical value is 1.51 mmol/L. The AUC in predicting DPN in patients with T2DM was 0.919 (95% CI = 0.839 ~ 0.978P < 0.001); when the Jordan index reached the maximum (0.786), the sensitivity and specificity were 91.75% and 95.82%, respectively. Compared with group A, the levels of serum TG, TC, and LDL-C in group B decreased significantly, while the level of HDL-C increased (P < 0.05). The motor nerve conduction velocity and sensory nerve conduction velocity of median nerve and peroneal nerve in group B were higher than those in group A (P < 0.05).
Diabetic patients with severe lipid metabolic disorders have a higher risk of DPN. Combined detection of lipid metabolism indexes such as TC, TG, and HDL-C and LDL-C is effective in predicting diabetic patients with DPN. In clinic, through dynamic monitoring of lipid metabolism indexes, we can actively regulate the level of blood lipids in patients with T2DM, which can delay the occurrence and development of DPN to a certain extent, as well as improving the prognosis of patients with diabetes.
Wang W
,Li X
,Ren Y
《-》
Potential Value of Serum Lipid in the Identication of Postoperative Delirium Undergoing Knee/Hip Arthroplasty: The Perioperative Neurocognitive Disorder and Biomarker Lifestyle Study.
We aimed to investigate the relationship between preoperative lipid level and postoperative delirium (POD) and explore whether lipid's effect on POD is mediated by POD core protein.
A total of 635 patients who were planned to undergo knee/hip arthroplasty under combined spinal-epidural anesthesia, regardless of gender, were selected. The patients were aged 40-90 years with American Society of Anesthesiologists physical status I II. The Mini-Mental State Examination (MMSE) was completed 1 day before the operation. Five milliliter elbow venous blood was taken from the patients before anesthesia, and serum levels of total cholesterol (TG), triglyceride (TC), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) were detected. Cerebrospinal fluid (CSF) was extracted after successful spinal-epidural combined puncture, and amyloid beta40 (Aβ40), amyloid beta42 (Aβ42), total Tau (t-Tau), and phosphorylated Tau (p-Tau) in the CSF were measured by enzyme-linked immunosorbent assays (ELISA). After the operation, the occurrence and severity of POD were assessed using the Confusion Assessment Method and the Memorial Delirium Assessment Scale (MDAS), respectively. Patients were categorized into POD group and NPOD group. Logistic regression was used to analyze the relationship between POD and TC, TG, LDL-C, and HDL-C, and the mediating effect was used to analyze the role of POD core proteins in the relationship between lipid and MDAS. We used the receiver operating characteristic (ROC) and the precision-recall curve (PRC) analysis to assess the ability of TC, TG, LDL-C, and HDL-C ability to predict POD. Finally, we performed a sensitivity analysis to assess the stability of the results.
A total of 562 patients were finally enrolled in this study, and 66 patients developed POD, with an incidence of 11.7%. Logistic regression analysis showed that high concentration of TC (OR = 3.148, 95%CI 1.858∼5.333, P < 0.001), TG (OR = 2.483, 95%CI 1.573∼3.918, P < 0.001), and LDL-C (OR = 2.469, 95%CI 1.310∼4.656, P = 0.005) in serum were risk factors for POD. A high concentration of HDL-C (OR = 0.258, 95%CI 0.112∼0.594, P = 0.001) was a protective factor for POD after adjusted for age, sex, education, and MMSE score. ROC curves showed that HDL-C have the highest sensitivity and specificity in predicting POD. For these four lipid markers, the PRC range from 0.602 to 0.731, respectively. The mediating analysis showed that POD core proteins could partially mediate the relationship between lipid and POD (effect value: 16.19∼91.04%). The results were barely changed in the sensitivity analysis, and the sensitivity analysis has shown that the results were stable.
The increase of serum TG, TC, and LDL-C concentration is a risk factor for POD development, while high HDL-C concentration is a protective factor for POD, and the occurrence of POD is caused by hyperlipidemia may be caused by POD core proteins.
[www.ClinicalTrials.gov], identifier [Chictr200033439].
Lin Y
,Peng X
,Lin X
,Deng X
,Liu F
,Tao H
,Dong R
,Wang B
,Bi Y
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《Frontiers in Psychiatry》