Superiority of albumin-globulin ratio over albumin to predict mortality in patients undergoing peritoneal dialysis

Non-linear relationship between preoperative albumin-globulin ratio and postoperative pneumonia in patients with hip fracture

BACKGROUND AND OBJECTIVE

Postoperative pneumonia (POP) is the leading cause of death among patients with hip fractures. Simple and cost-effective markers can be used to assess the risk of these patients. This study aims to investigate the association between POP and preoperative albumin-globulin ratio (AGR) in patients with hip fractures.

METHODS

A retrospective analysis was conducted on data from 1417 hip fracture patients admitted to the Department of Orthopaedics at the hospital. Generalized additive and logistic regression models were used to determine both linear and non-linear associations between preoperative AGR and POP. A two-piece regression model was employed to determine the threshold effect.

RESULTS

The study included 1417 participants, with a mean age of 77.57 (8.53) years and 26.96% (382/1417) male patients. The prevalence of POP was 6.21%. Following full covariate adjustment, each unit increase in AGR was associated with a 79% reduction in the incidence of POP (OR, 0.23; 95% CI: 0.08-0.63; P = 0.0046). The inflection point was found to be 1.33 using a two-piecewise regression model. For each unit increase in AGR on the left side of the inflection point, the incidence of POP decreased by 93% (OR, 0.07; 95%CI: 0.02-0.34; P = 0.0010). However, there was no statistically significant correlation on the right side of the inflection point (OR, 0.84; 95% CI: 0.17-4.10; P = 0.8287).

CONCLUSION

There exists a non-linear association between preoperative AGR and the incidence of POP in elderly hip fracture patients. When AGR is less than 1.33, the incidence of POP is negatively correlated with AGR. However, there is no correlation when AGR is greater than 1.33.

Albumin-to-Globulin Ratio Combined with Neutrophil-to-Lymphocyte Ratio as a Prognostic Predictor in Multiple Myeloma with Renal Impairment

Background

The albumin-to-globulin ratio (AGR) and neutrophil-to-lymphocyte ratio (NLR) have been recently regarded as promising prognostic factors in various malignancies. The present study investigated the prognostic value of combining the AGR and NLR (ANS) for risk assessments in multiple myeloma (MM) with renal impairment (RI).

Methods

From 2011 to 2018, 79 patients with MM and RI were enrolled in this study. Receiver operating curves (ROCs) were constructed to determine optimal AGR and NLR thresholds for predicting overall survival (OS) and progression-free survival (PFS) during follow up. The prognostic values of AGR, NLR, and ANS were evaluated with Cox regression and Kaplan-Meier methods. We also created a predictive nomogram for prognostic evaluations of OS and PFS, and the predictive accuracy was assessed with a concordance index (c-index).

Results

The ROC curves analyses showed that the optimal cut-off levels were 2.27 for NLR and 1.57 for AGR. A high NLR and a high ANS were significantly associated with worse OS and PFS. However, a high NLR combined with a low AGR was associated with worse OS. Multivariate analyses demonstrated that both the NLR and ANS were independent predictors for both OS and PFS and that a low AGR was an independent predictor of a reduced OS. The nomogram accurately predicted OS (c-index: 0.785) and PFS (c-index: 0.786) in patients with MM and RI.

Conclusion

ANS may serve as a potential prognostic biomarker in patients with MM and RI. The proposed nomograms may facilitate prognostic predictions for patients with MM and RI.

Serum total protein-to-albumin ratio predicts risk of death in septic acute kidney injury patients: A cohort study

OBJECTIVE

Sepsis is the leading cause of acute kidney injury (AKI). Increasing evidence shows that serum total protein-to-albumin ratio (TAR) could serve as an inflammation- and nutrition-based prognostic marker in various diseases. The purpose of this study was to assess the prognostic value of TAR in predicting the clinical outcomes of septic AKI patients.

METHODS

We retrospectively enrolled septic AKI patients between August 2015 and August 2022 at West China Hospital of Sichuan University. Patients admitted between August 2015 and August 2021 were defined as the original cohort. The primary outcomes were 30-day and 90-day all-cause mortality of septic AKI patients. The secondary outcomes were septic shock, transfer to the intensive care unit, mechanical ventilation, requirement for renal replacement therapy, and stage 3 AKI. The utility of TAR was further verified in a validation cohort of septic AKI patients admitted between September 2021 and August 2022.

RESULTS

In the original cohort, a total of 309 eligible patients with a median age of 58 years were enrolled, of which 70.2 % were males. In multivariate Cox analysis, after adjustments for age, sex, and other confounding factors, higher TAR at admission was associated with an increased risk of 30-day and 90-day all-cause mortality in septic AKI patients (HR 1.91, 95 % CI 1.18-3.09, P = 0.008; HR 1.54, 95 % CI 1.01-2.34, P = 0.043, respectively). Subgroup analysis revealed no significant interactions in most strata. TAR at AKI diagnosis or discharge was not significantly related to 30-day (P = 0.120 and 0.153, respectively) or 90-day mortality (P = 0.147 and 0.124, respectively). We found no relationship between baseline TAR and septic shock, transfer to the intensive care unit, mechanical ventilation, requirement for renal replacement therapy, or stage 3 AKI (all P > 0.05). In the validation cohort of 81 septic AKI patients, TAR at admission remained a significant prognosticator for 30-day and 90-day mortality (HR 4.367, 95 % CI 1.20-15.87, P = 0.025; HR 4.237, 95 % CI 1.59-11.27, P = 0.004).

CONCLUSIONS

TAR at admission is an independent risk factor for 30-day and 90-day mortality in septic AKI patients and could be used as a convenient and economic septic AKI prognostic indicator.

Associations between liver function parameters and poor clinical outcomes in peritoneal dialysis patients

Patients with end-stage renal disease (ESRD) have significantly lower survival rates compared with the general population of the same age. Peritoneal dialysis (PD) is an effective treatment for patients with ESRD, but the clinical outcome of PD patients is still not promising. The survival of PD patients is associated with various clinical factors, and exploring some valid risk predictors may be beneficial for this population. In this review, by integrating the latest research, we summarized the association of some common and novel liver function parameters (ALT, AST, ALP, GGT, serum bilirubin, pre-albumin, albumin, albumin-globulin ratio [AGR], serum ferritin, and hyaluronic acid) with clinical outcomes in PD patients. It may contribute to a better understanding of potential risk factors and help to develop strategies to prevent the disease progression.

Albumin-to-globulin ratio predicts clinical outcomes of heart failure with preserved ejection fraction in women

Despite advances in medicine, heart failure with preserved ejection fraction (HFpEF) remains an increasing health concern associated with a high mortality rate. Research has shown sex-based differences in the clinical characteristics of patients with HF; however, definitive biomarkers for poor clinical outcomes of HFpEF in women are unavailable. We focused on the albumin-to-globulin ratio (AGR), a biomarker for malnutrition and inflammation and investigated its usefulness as a predictor of clinical outcomes of HFpEF in women. We measured the AGR in consecutive 224 women with HFpEF and 249 men with HFpEF. There were 69 cardiac events in women with HFpEF and 69 cardiac events in men with HFpEF during the follow-up period. The AGR decreased with advancing New York Heart Association functional class in women with HFpEF. Patients were categorized into three groups based on AGR tertiles. Kaplan-Meier analysis showed that among the three groups, the risk for cardiac events and HF-associated rehospitalizations was the highest in the lowest tertile in women with HFpEF. Univariate and multivariate Cox proportional hazard regression analyses showed that after adjustment for confounding risk factors, the AGR was an independent predictor of cardiac events and HF-associated rehospitalizations in women with HFpEF, but not in men with HFpEF. The addition of AGR to the risk factors significantly improved the net reclassification and integrated discrimination indices in women with HFpEF. This is the first study that highlights the significant association between the AGR and the severity and clinical outcomes of HFpEF in women. Addition of AGR to the risk factors improved its prognostic value for clinical outcomes, which indicates that this variable may serve as a useful clinical biomarker for HFpEF in women.

Association of serum globulin with all-cause mortality in incident hemodialysis patients

BACKGROUND

Serum globulin is a major component of total protein and can be elevated in inflammatory disease states. While inflammation is common in hemodialysis patients and associated with mortality and morbidity, the association between serum globulin and mortality have never been examined in hemodialysis patients.

METHODS

In a retrospective cohort of 104,164 incident hemodialysis patients treated by a large dialysis organization from 2007 to 2011, we explored the association between baseline serum globulin, A/G ratio and serum protein levels and all-cause, cardiovascular and infection-related mortality with adjustments for demographic variables and laboratory markers of malnutrition and inflammation using Cox proportional hazard models.

RESULTS

Patients with globulin concentration >3.8 g/dL had higher all-cause and infection-related mortality risk (Hazard Ratio [HR] 1.11, 95% Confidence Interval [95%CI]: 1.06, 1.16 and HR 1.28, 95%CI: 1.09, 1.51; respectively) in the fully adjusted model when compared to the reference group of 3.0-<3.2 g/dL. In addition, patients with A/G ratio <0.75 had a 45% higher all-cause mortality hazard (HR 1.45, 95%CI: 1.38, 1.52) and patients with total serum protein <5.5 g/dL had a 34% higher risk of death (HR: 1.34, 95%CI: 1.27, 1.42) when compared to the reference (A/G ratio 1.05-<1.15 and total serum protein 6.5-<7 g/dL, respectively).

CONCLUSIONS

Among incident hemodialysis patients, higher globulin level was associated with higher mortality risk independent of other markers of malnutrition and inflammation, including albumin. Lower A/G ratio and serum protein was also associated with higher mortality hazard. The mechanisms that contribute to elevated serum globulin should be further explored.

Platelet-to-albumin ratio: a risk factor associated with technique failure and mortality in peritoneal dialysis patients

Background

Peritoneal dialysis (PD) patients have a high incidence of poor clinical outcomes, which is related to the inflammatory and nutritional status of this population. Platelet-to-albumin ratio (PAR), recently identified as a useful biomarker to monitor inflammation and nutrition, can predict a poor prognosis in various diseases. The aim of this study was to investigate the association between PAR and technique failure and mortality in PD patients.

Methods

This single-center retrospective study enrolled 405 PD patients from 1 January 2011 to 31 December 2019 and collected complete demographic characteristics, clinical laboratory baseline data. The outcomes were technique failure and mortality. The associations between PAR and technique failure, death were analyzed by Cox proportional hazard models and competing risk regression models with kidney transplantation as a competing event. The areas under the curve (AUC) of receiver-operating characteristic analysis were used to determine the predictive values of PAR for technique failure and mortality.

Results

During a median follow-up period of 24.0 (range, 4.0–91.0) months, 139 (34.3%) PD patients experienced technique failure, 61 (15.1%) PD patients died. The patients with higher PAR levels had increased risk of technique failure and mortality. After adjustment for confounding factors, we found that high PAR levels were risk factor for both technique failure (subdistribution hazard ratio [SHR] 1.775; 95%CI, 1.157–2.720; p = 0.033] and mortality [SHR 3.710; 95%CI, 1.870–7.360; p < 0.001]. The predictive ability of PAR was superior to platelet and albumin based on AUC calculations for technique failure and mortality.

Conclusions

PAR was a risk factor associated with technique failure and mortality in PD patients.

Prediction of Treatment Outcome with Inflammatory Biomarkers after 2 Months of Therapy in Pulmonary Tuberculosis Patients: Preliminary Results

Pro-inflammatory mediators play an important role in the pathogenesis of pulmonary tuberculosis. Consecutively, 26 pulmonary tuberculosis patients were enrolled in our study based on the exclusion criteria. We have used Spearman’s correlation analysis, hierarchical clustering and regression modelling to evaluate the association of 11 biomarkers with culture status after antituberculosis treatment. The results of our study demonstrated that six inflammatory biomarkers of 11, C-reactive protein (CRP), white blood cells (WBC), neutrophils, interferon gamma inducible protein 10, C-reactive protein (CRP) to albumin ratio (CAR) and neutrophil to albumin ratio (NAR), were significantly associated with culture negativity. The predictive ability of a composite model of seven biomarkers was superior to that of any single biomarker based on area under the receiver operating characteristic curve (AUC) analysis, indicating an excellent prediction efficacy (AUC:0.892; 95% CI:0.732-1.0). We also found that the highest significant trends and lower levels of CRP and IP-10 were observed in the two-month treated tuberculosis (TB) patients. We believe that our study may be valuable in providing preliminary results for an additional strategy in monitoring and management of the clinical outcome of pulmonary tuberculosis. Using a panel of predictors added a superior value in predicting culture status after anti-TB therapy.