Albumin and the fibrinogen-to-albumin ratio: Biomarkers for the acute phase response following total knee arthroplasty

Thoracic lymph collection impacts the level of endogenous macromolecules in rat biological fluids

Lymph collection via insertion of a cannula into a lymphatic vessel is the most commonly used procedure to quantify the transport of pharmaceutical agents into lymph following administration to rodents. Further, lymph is derived from interstitial fluid draining specific organs and tissues such that compositional analysis of lymph collected via cannulation can provide useful information about biochemical and immune cell changes in different patho/physiological states, as well as being a resource for biomarker discovery. Nevertheless, lymph cannulation is a challenging procedure, and continuous collection of lymph for extended periods can lead to lymphocytopenia. Just as important, prolonged lymph collection might deplete other major components in lymph and plasma such as proteins and lipids, yet this has not been reported previously. Therefore, we investigated the effect of thoracic lymph collection in rats on the concentration of protein components (e.g. albumin) and specific lipids (total cholesterol and triglycerides) in lymph and plasma over time for 48 h after lymph cannulation. This study suggests that the level of total protein and albumin, but not lipids, is diminished over time during thoracic lymph collection in rats. We also provide evidence that this depletion impacts the pharmacokinetics of a drug delivery carrier that binds to albumin and lipoproteins. These findings present an important consideration to evaluating the lymphatic transport and pharmacokinetics of pharmaceutical agents that interact with endogenous proteins such as albumin.

Nutritional Considerations in Hip and Knee Arthroplasty: A Critical Analysis of Current Evidence

» Initial screening for malnutrition can be initiated with a fibrinogen-albumin ratio threshold <11.7.» Protein supplementation to goal (1.2-1.9 g/kg), along with essential amino acid augmented with beta-hydroxy-beta-methylbutyrate and resistance training have shown benefit, especially in sarcopenic patients.» Omega-3 and omega-6 polyunsaturated fatty acid supplementation has a strong antioxidant role and gain of muscle mass.» Supplementation with adenosine triphosphate and magnesium sulfate provides an avenue to decrease postoperative pain and opioid consumption.» Motivational interviewing and multidisciplinary teams to achieve preoperative weight loss >20 lbs in morbidly obese patients can decrease complication rates.

Preoperative Albumin and Postoperative CRP/Albumin Ratio (CARS) are Independent Predictive Factors in Estimating 1-Year Mortality in Patients Operated for Proximal Femoral Metastasis with Endoprosthesis

Background

Proximal femur resection and prosthetic reconstruction are preferred in patients with extensive bone destruction, pathological fractures, tumours resistant to radiation therapy, and patients with more proximal metastatic lesions. There is increasing evidence that the CRP/albumin ratio (CAR) is an independent marker of inflammation in various primary organ cancers and maybe a more accurate prognostic factor. We aimed to evaluate whether preoperative and postoperative CAR values could be a factor in predicting mortality in these patients. We hypothesized that CAR could predict these patients' postoperative 90-day and 1-year mortality.

Methods

The patient's age and gender, primary tumour, number of bone metastases, and presence of visceral metastases were recorded using imaging techniques such as computed tomography and bone scan or positron emission tomography. The following laboratory data were analyzed before and after surgery.

Results

The mean age of the patients was 62.67 ± 14.8; 56.9% were female (n:29), and 43.1% were male (n:22). When the results of the ROC analysis of the parameters in predicting 1-year mortality were examined, and the cut-off value for preoperative albumin was taken as ≤ 3.75, the AUC value was found to be statistically significant as 0.745 (p:0.003). When the cut-off value for postoperative CAR was taken as ≥ 87.32, the AUC value was found to be 0.7 statistically significant (p:0.015).

Conclusion

Length of stay, preoperative albumin and postoperative CAR values can be used as independent predictive values in predicting 1-year mortality in patients undergoing endoprosthesis due to proximal femur metastasis.

Establishment and validation of a predictive nomogram for gestational diabetes mellitus during early pregnancy term: A retrospective study

Objective

This study aims to develop and evaluate a predictive nomogram for early assessment risk factors of gestational diabetes mellitus (GDM) during early pregnancy term, so as to help early clinical management and intervention.

Methods

A total of 824 pregnant women at Zhongnan Hospital of Wuhan University and Maternal and Child Health Hospital of Hubei Province from 1 February 2020 to 30 April 2020 were enrolled in a retrospective observational study and comprised the training dataset. Routine clinical and laboratory information was collected; we applied least absolute shrinkage and selection operator (LASSO) logistic regression and multivariate ROC risk analysis to determine significant predictors and establish the nomogram, and the early pregnancy files (gestational weeks 12-16, n = 392) at the same hospital were collected as a validation dataset. We evaluated the nomogram via the receiver operating characteristic (ROC) curve, C-index, calibration curve, and decision curve analysis (DCA).

Results

We conducted LASSO analysis and multivariate regression to establish a GDM nomogram during the early pregnancy term; the five selected risk predictors are as follows: age, blood urea nitrogen (BUN), fibrinogen-to-albumin ratio (FAR), blood urea nitrogen-to-creatinine ratio (BUN/Cr), and blood urea nitrogen-to-albumin ratio (BUN/ALB). The calibration curve and DCA present optimal predictive power. DCA demonstrates that the nomogram could be applied clinically.

Conclusion

An effective nomogram that predicts GDM should be established in order to help clinical management and intervention at the early gestational stage.

Fibrinogen-to-Albumin Ratio and Blood Urea Nitrogen-to-Albumin Ratio in COVID-19 Patients: A Systematic Review and Meta-Analysis

Fibrinogen-to-albumin ratio (FAR) and blood urea nitrogen-to-albumin ratio (BAR) are inflammatory biomarkers that have been associated with clinical outcomes of multiple diseases. The objective of this study is to evaluate the association of these biomarkers with the severity and mortality of COVID-19 patients. A systematic search was performed in five databases. Observational studies that reported the association between FAR and BAR values with the severity and mortality of COVID-19 patients were included. Random-effects models were used for meta-analyses, and effects were expressed as Odds Ratio (OR) and their 95% confidence intervals (CI). Publication bias was assessed using the Begg test, while the quality assessment was assessed using the Newcastle Ottawa Scale. A total of 21 studies (n = 7949) were included. High FAR values were associated with a higher risk of severity (OR: 2.41; 95% CI 1.41−4.12; p < 0.001) and mortality (OR: 2.05; 95% CI 1.66−2.54; p < 0.001). High BAR values were associated with higher risk of mortality (OR: 4.63; 95% CI 2.11−10.15; p < 0.001). However, no statistically significant association was found between BAR values and the risk of severity (OR: 1.16; 95% CI 0.83−1.63; p = 0.38). High FAR and BAR values were associated with poor clinical outcomes.

Seven Genes Associated With Lymphatic Metastasis in Thyroid Cancer That Is Linked to Tumor Immune Cell Infiltration

Objective

Since there are few studies exploring genes associated with lymphatic metastasis of thyroid carcinoma (THCA), this study was conducted to explore genes associated with lymphatic metastasis of THCA and to investigate the relationship with immune infiltration.

Methods

Differentially expressed genes associated with THCA lymphatic metastasis were analyzed based on The Cancer Genome Atlas Program (TCGA) database; a protein-protein interaction(PPI)network was constructed to screen for pivotal genes. Based on the identified hub genes, their expression in THCA with and without lymphatic metastasis were determined. Functional enrichment analysis was performed. The correlation between the identified genes and immune cell infiltration was explored. LASSO logistic regression analysis was performed to determine the risk score of the most relevant gene constructs and multifactor COX regression analysis based on genes in the risk score formula.

Results

A total of 115 genes were differentially expressed in THCA with and without lymphatic metastasis, including 28 upregulated genes and 87 downregulated genes. The PPI network identified seven hub genes (EVA1A, TIMP1, SERPINA1, FAM20A, FN1, TNC, MXRA8); the expression of all seven genes was upregulated in the group with lymphatic metastasis; Immuno-infiltration analysis showed that all seven genes were significantly positively correlated with macrophage M1 and NK cells and negatively correlated with T-cell CD4+ and myeloid dendritic cells. LASSO logistic regression analysis identified the five most relevant genes (EVA1A, SERPINA1, FN1, TNC, MXRA8), and multi-factor COX regression analysis showed EVA1A, SERPINA1 and FN1 as independent prognostic factors.

Conclusion

Seven genes were associated with lymphatic metastasis of THCA and with tumor immune cell infiltration.

Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection

BACKGROUND

The inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to predict the occurrence of nosocomial infections after abdominal surgery.

METHODS

The study included 146 patients with open abdominal surgery (a nosocomial infection group (NI group, n=42) and a no-nosocomial infection group (NNI group, n=104)). After 1:1 matching, the patients were divided into a matching nosocomial infection group (M-NI group, n=25) and a matching no-nosocomial infection group (M-NNI group, n=25). Serum levels of interleukin (IL)-6, IL-8, IL-10, IL-12, IL-18, macrophage migration inhibitory factor (MIF), and monocyte chemotactic protein (MCP-1) were tested at three time points (pre-operation, 0-hour post-operation (POD1) and 24-hour post-operation (POD2)). The area under the receiver operating characteristic curve (AUC-ROC) was used to test the predictive abilities.

RESULTS

There were significant differences in the levels of IL-6, IL-12, and IL-18 between the M-NI and M-NNI groups (p < 0.05), but not in the levels of other inflammatory factors. MIF, IL-8, and MCP-1 levels were higher in the M-NI group than in the M-NNI group at POD2 (p < 0.05). In the ROC analysis, the AUC for prediction of nosocomial infection using a combination of IL-6 and IL-18 at POD1 was 0.9616, while the AUCs for IL-6 alone and IL-12 alone were 0.8584 and 0.8256, respectively.

CONCLUSIONS

The combination of the levels of inflammatory factors, IL-6 and IL-18, at the 0-hour postoperative time point, significantly improved the predictive ability to the development of postoperative infection during perioperative period. Our study suggests the importance of monitoring postoperative inflammatory markers.