The Usefulness of C-Reactive Protein to Albumin Ratio in the Prediction of Adverse Cardiovascular Events in Coronary Chronic Total Occlusion Undergoing Percutaneous Coronary Intervention

Association of high-sensitivity C-reactive protein to albumin ratio with all-cause and cardiac death in coronary heart disease individuals: A retrospective NHANES study

BACKGROUND

This research aimed to explore the association of high-sensitivity C-reactive protein to albumin ratio (CAR) with death events in community-based patients with coronary heart disease (CHD).

METHODS

624 CHD participants were followed for 36 months using data from the 2015-2018 National Health and Nutrition Examination Survey (NHANES). The CAR was dichotomized at 0.075 mg/g to stratify inflammation levels. Relationships between CAR, high-sensitivity C-reactive protein (hsCRP), albumin (ALB) and all-cause and cardiac death in all participants and subgroups were analyzed using restricted cubic spline (RCS), Kaplan-Meier survival curves and Cox proportional hazards models.

RESULTS

Both CAR and hsCRP showed positive correlations with all-cause and cardiac death risk while ALB exhibited a U-shaped correlation with all-cause death risk but a negative correlation with cardiac death risk. The high-CAR group had higher risks of all-cause (P = 0.04) and cardiac death (P = 0.02). The hazard ratios (HR) (95% confidence intervals (CI)) for all-cause death was 1.77 (1.15-2.74) (P = 0.010), while it was 2.99 (1.44-6.22) (P = 0.003) for cardiac death. No significant interaction was observed in subgroup analyses.

CONCLUSIONS

A CAR threshold of 0.075 mg/g effectively distinguished between high and low inflammation risks. Elevated CAR significantly increased the risk of all-cause and cardiac death in community CHD patients.

Relationship between C-reactive protein-albumin ratio and prognosis in pediatric patients with severe burns

C-reactive protein (CRP) is a widely requested acute-phase protein. This study aimed to investigate the relationship between albumin, CRP, and CRP-albumin ratio values and hospital length of stay (LOS) in children with severe burns. A total of 150 pediatric patients who were treated in our hospital's burns clinic or burns intensive care unit due to third- and fourth-degree burns between January 2019 and September 2023 were included in the study. The mean CRP-albumin ratio was significantly lower in those hospitalized for 10 days or less than that in those hospitalized for a longer period (p < 0.001). The rates of patients with high CRP-albumin ratio in those hospitalized for 21-30 days and more than 40 days were found to be significantly higher than the other groups (p < 0.001). Hospital LOS was positively and significantly related to CRP-albumin ratios (p < 0.001; r = 0.529). In children with severe burns, low albumin levels, high CRP levels, and high CRP-albumin ratios at hospital admission may be related to clinical presentation and hospital LOS.

Impact of Preoperative Biliary Stenting on Intestinal Dysfunction and Perioperative Complications After Pylorus-Preserving Pancreaticoduodenectomy

Background and Objectives: Preoperative biliary stenting (PBS) is commonly used to manage obstructive jaundice in patients undergoing pylorus-preserving pancreaticoduodenectomy (PPPD). However, the impact of PBS on intestinal barrier function and perioperative complications remains controversial. This study aims to evaluate the effect of PBS on intestinal dysfunction and surgical outcomes, focusing on the influence of the stent duration. Materials and Methods: In this prospective cohort study, 235 patients undergoing PPPD for resectable pancreatic neoplasms at Timișoara Municipal Emergency Clinical Hospital (2016-2024) were analyzed. Patients were divided into two groups: those with PBS (n = 98) and without PBS (n = 137). Intestinal barrier function was assessed pre- and postoperatively using biomarkers such as zonulin, fecal calprotectin, and serum lipopolysaccharides (LPS). Perioperative outcomes, including pancreatic fistula, delayed gastric emptying (DGE), infections, and hospital stay, were compared. Additionally, outcomes were stratified based on stent duration (2-3 weeks vs. 3-4 weeks). Results: PBS was associated with significantly higher levels of zonulin, fecal calprotectin, and serum LPS postoperatively, indicating compromised intestinal barrier function. The stented group had a higher incidence of pancreatic fistulas (Grade B/C: 27.5% vs. 13.1%, p < 0.01), DGE (25.5% vs. 13.1%, p = 0.008), postoperative infections (34.7% vs. 17.5%, p = 0.002), and prolonged hospital stay (16.9 ± 4.2 days vs. 14.5 ± 3.7 days, p = 0.019). Prolonged stenting (3-4 weeks) was associated with worse outcomes compared to shorter stenting durations (2-3 weeks), including increased rates of infections, sepsis, and ICU stay (p < 0.05 for all comparisons). Conclusions: Preoperative biliary stenting is associated with increased intestinal barrier dysfunction, systemic inflammation, and higher rates of perioperative complications following PPPD. Prolonged stenting durations (>3 weeks) further exacerbate these risks. Limiting the PBS duration to 2-3 weeks, alongside optimized perioperative management, may help reduce postoperative morbidity and improve surgical outcomes.

Clinical Prognostic Impact of the Serum C-reactive Protein-to-albumin Ratio (CAR) in Chronic Heart Failure Patients: A Retrospective Study

Background

The serum C-reactive protein-to-albumin ratio (CAR) has been identified as an adverse prognostic indicator in a variety of diseases. Nevertheless, there have been not been any studies reporting a relationship between CAR and the prognosis of chronic heart failure (CHF). This study was designed to evaluate the association between CAR and all-cause mortality in CHF patients with different ejection fractions.

Methods

A total of 1221 heart failure (HF) patients were enrolled at the First Affiliated Hospital of Kunming Medical University due to acute exacerbation of chronic HF from January 2017 to October 2021. The main outcome was all-cause mortality. After collecting baseline characteristics and laboratory results from all patients, we classified all participants into four groups based on CAR quartile (G1-G4). Kaplan-Meier survival curves and multivariate Cox proportional hazard models were employed to investigate the association between CAR and all-cause mortality in the patients. Furthermore, receiver operating characteristic (ROC) curves were constructed for CARs, and the area under the curve (AUC) was calculated.

Results

After excluding ineligible patients, we ultimately included 1196 patients with CHF. The mean age was 66.38 ± 12.521 years, and 62% were male. According to the Kaplan‒Meier analysis, with different ejection fractions, the risk of all-cause mortality was always highest for G4 (CAR >63.27) and lowest for G1 (CAR ≤7.67). Cox multivariate regression analyses indicated that the CAR was an independent predictor of all-cause mortality in all HF patients and in patients with different HF subtypes. According to the ROC curves, the AUC for the CAR was 0.732 (p < 0.001), with a sensitivity of 66.2% and the specificity of 72.7%. CAR had a greater predictive value for all-cause mortality than did C-reactive protein (CRP).

Conclusions

An elevated serum CAR was independently associated with an increased risk of all-cause death, regardless of heart failure subtype.

Association between the C-reactive protein to albumin ratio and poor clinical outcome in patients with spontaneous intracerebral hemorrhage

BACKGROUND

The C-reactive protein-to-albumin ratio (CAR) is a novel prognostic biomarker of systemic inflammation and nutritional status. The association between CAR and the long-term outcome of spontaneous intracerebral hemorrhage (ICH) remains unclear.

METHODS

From January 2014 to September 2016, 497 patients with spontaneous ICH were enrolled in our study from 13 hospitals in Beijing. According to the CAR quartiles, patients were classified into four groups (Q1-Q4). Logistic regression was applied to analyze the relationship between different CAR levels and main outcome (90-day and 1-year mRS 4-6). Restricted cubic splines and receiver operating characteristic (ROC) curves of CAR for poor clinical outcomes were assessed.

RESULTS

In the multivariate logistic regression model, compared with the lowest quartile of CAR, the adjusted odds ratios of the Q2, Q3, and Q4 group for 90-day mRS score of 4-6 were 3.64 (1.61-8.23), 3.83 (1.67-8.77), and 8.91 (3.85-20.64). In terms of 1-year mRS score of 4-6, compared with the lowest quartile of CAR, the adjusted odds ratios of the Q3 and Q4 group were 3.31 (1.33-8.22) and 6.87 (2.81-16.78).

CONCLUSIONS

A high CAR level was associated with a high risk of long-term adverse prognosis in patients with ICH, and the risk of ICH poor outcome increased steadily with CAR rising in a certain range, and maintained in a high level thereafter.

Triglyceride-glucose index and hsCRP-to-albumin ratio as predictors of major adverse cardiovascular events in STEMI patients with hypertension

This study aimed to evaluate the association between the triglyceride-glucose (TyG) index and high-sensitivity C-reactive protein-to-albumin ratio (hsCAR) and the prognosis of patients with STEMI and hypertension. A total of 699 patients diagnosed with STEMI and hypertension were included in this study database. Compared to the low TyG index group (< 7.8), the high TyG index group (≥ 7.8) was associated with an increased risk of MACE (HR 2.09, 95% CI = 1.58-2.77; P < 0.001). Similarly, a higher hsCAR (≥ 0.15) was linked to an increased risk of MACE (HR 1.46, 95% CI = 1.12-1.90; P = 0.005). Subsequently, we categorized the population into four groups based on the defined cutoff points. Compared to the low TyG-low hsCAR subgroup, the other three subgroups demonstrated an elevated risk of MACE. Among patients treated with PCSK9 and SGLT2 inhibitors, the combined effect of the TyG index and hsCAR on MACE was attenuated. Finally, The combined TyG index and hsCAR model exhibited optimal performance (AUC = 0.71, 95% CI = 0.67-0.75; P < 0.001). This study demonstrates that the TyG index and hsCAR provide strong combined predictive power. The synergistic utilization offers a comprehensive approach to cardiovascular risk assessment.

CAR, mGPS and hs-mGPS: What is among them the best gero-biomarker for age-related diseases? And for what clinical application?

The identification of biomarkers linked to the onset, progression, and prevention of age-related diseases (ARD), in the era of personalized medicine, represents the best goal of geroscience. Geroscience has the fundamental role of exploring and identifying the biological mechanisms of aging to suggest interventions capable of stopping/delaying the many pathological conditions and disabilities related to age. Therefore, it has become its key priority, as well as that of clinical practice and research, based on identifying and validating a range of biomarkers, geromarkers, which can be used to diagnostic, prognostic, or predictive clinical purposes. Indeed, geromarkers have, the potential to predict ARD trajectories and facilitate targeted interventions to slow down the related disabilities. Here our attention is paid to the inflammatory indexes (CAR, mGPS, hs-mGPS) linked to the relationship between the plasma levels of two inflammatory analytes, the typical positive protein of the acute phase, and the negative one, i.e. c-reactive protein (CRP) and albumin, respectively. These indexes allow us to understand the magnitude of the two main mechanisms predicted to influence the aging process, including inflammation and immunosenescence, as well as the degree of ARD severity. Evidence on their relationship with ARD is widely reported and discussed, to understand which can represent the best ARD geromarker, and its clinical application.

The relationship between C-reactive protein/albumin ratio and mortality in hypertensive patients: A national cohort study

BACKGROUND AND AIMS

The impact of inflammation on the prognosis of hypertension has received some attention. The current study examined the association between C-reactive protein to albumin ratio (CAR), a novel indicator of inflammatory response, and mortality in individuals with hypertension.

METHODS AND RESULTS

A total of 9561 eligible individuals diagnosed with hypertension were included in the final analysis. CAR was calculated as ratio of C-reactive protein to serum albumin concentration. Patients were categorized into tertiles based on their baseline CAR levels. The Kaplan-Meier survival method was employed to compare the survival times of patients throughout the follow-up period. Multivariable analysis was conducted using the Cox proportional regression model. In the entire study population, 3262 (27%) experienced all-cause mortality. Patients in tertile 3 exhibited a higher risk of mortality (23% vs. 28% vs. 31%, P < 0.001) in comparison to those in the other tertiles. The findings from the multivariable Cox regression analysis demonstrated that when patients in tertile 1 were used as the reference group, the highest CAR tertile displayed a 60% increased risk of all-cause mortality (HR, 1.60 [95%CI, 1.23-2.09] P < 0.001).

CONCLUSION

Among hypertensive patients, elevated CAR was found to be associated with an increased risk of all-cause mortality. Therefore, CAR might be used for risk stratification within this population, facilitating the implementation of closer follow-up and the optimization of treatment strategies.

Evaluation of the Prognostic Role of Neutrophil-Lymphocyte Ratio, C-Reactive Protein-Albumin Ratio, and Platelet-Lymphocyte Ratio in Patients with the Co-Presentation of Coronary Artery Disease and COVID-19

AIM

The purpose of this study was to investigate the role of neutrophil-lymphocyte ratio (NLR), C-reactive protein-albumin ratio (CAR), and platelet-lymphocyte ratio (PLR) in the prognosis of patients with coronary artery disease (CAD) complicated with coronavirus disease 2019 (COVID-19).

METHODS

This study included 265 patients. A receiver operating characteristic (ROC) curve analysis was performed to preliminarily evaluate the predictive ability of NLR, CAR, and PLR for all-cause death. The primary outcome was all-cause death during hospitalization, while the secondary outcomes were cardiovascular death and respiratory failure death. The Cox proportional hazard model with adjusted covariates was used to analyze the cumulative risk of outcomes. We also conducted subgroup analyses based on the acute and chronic characteristics of CAD. Propensity score matching (PSM) was used to further evaluate the robustness of the primary outcome.

RESULTS

The ROC curve analysis results showed that the area under curve (AUC) values were 0.686 (95% CI 0.592-0.781, P<0.001) for NLR, 0.749 (95% CI 0.667-0.832, P<0.001) for CAR, and 0.571 (95% CI 0.455-0.687, P=0.232) for PLR. The Cox proportional hazard model showed that trends in NLR and PLR did not affect the risk of all-cause death (P=0.096 and P=0.544 for trend, respectively), but a higher CAR level corresponded to a higher risk of all-cause death (P<0.001 for trend). Similarly, The trends of NLR and PLR did not affect the risk of cardiovascular death and respiratory failure death, while a higher CAR level corresponded to a higher risk of cardiovascular death and respiratory failure death. The results of subgroup analyses and PSM were consistent with the total cohort.

CONCLUSION

In patients with CAD complicated with COVID-19, a higher CAR level corresponded to a higher risk of all-cause death, cardiovascular death, and respiratory failure death, while trends in NLR and PLR did not.

High levels of high-sensitivity C reactive protein to albumin ratio can increase the risk of cardiovascular disease

BACKGROUND

The high levels of C reactive protein (CRP) to albumin ratio (CAR) is thought to increase the risk of poor outcomes for cancer and cardiovascular disease (CVD). However, the association between CAR and CVD in the Chinese community population has not been investigated.

OBJECTIVE

The aim of this study was to investigate the association between CAR and CVD in the Chinese community population.

METHODS

A total of 62 067 participants without a history of CVD or cancer were included in this study. Kaplan-Meier survival curves were used to calculate the cumulative incidence of endpoint events in CAR quartile groups, and the results were tested by log-rank test. Fine-Gray model was used to analyse the competing risk of death. C-index, Net Reclassification Index (NRI) and Integrated Discrimination Improvement Index (IDI) of different indicators were calculated to distinguish the predictive performance of different indicators.

RESULTS

During an average follow-up period of 10.3±2.1 years, 4025 participants developed CVD. In multivariable Cox regression analysis, compared with Q1 group, model 3 showed that the hazard ratio (HR) (95% confidence interval (95%CI)) of CVD in Q4 group was 1.26 (1.15 to 1.38) (p<0.01), and the HR (95% CI) per 1 SD increase was 1.06 (1.03 to 1.08) (p<0.01). The C-index, continuous NRI and IDI for predicting 10-year CVD were 73.48%, 0.1366 (0.1049 to 0.1684) (p<0.01) and 0.0002 (0.0001 to 0.0004) (p<0.01), respectively, which were higher than those of hs-CRP (C-index:0.7344, NRI:0.0711, IDI: 0.0001) and albumin (C-index:0.7339, NRI: -0.0090, IDI: 0.0000).

CONCLUSION

High levels of CAR can increase the risk of CVD and the predictive performance of CAR for CVD is better than that of hs-CRP or albumin alone.

A novel inflammatory biomarker, high-sensitivity C-reactive protein-to-albumin ratio, is associated with 5-year outcomes in patients with type 2 diabetes who undergo percutaneous coronary intervention

BACKGROUND

Patients with coronary artery disease (CAD) combined with diabetes have a higher risk of cardiovascular events, and high-sensitivity C-reactive protein (hs-CRP)-to-albumin ratio (CAR) is a novel inflammatory biomarker. However, whether the CAR can identify high-risk patients with CAD and type 2 diabetes (T2DM) remains unclear.

METHODS

The present study was based on a prospective and observational cohort with 10,724 individuals who undergo percutaneous coronary intervention (PCI) in Fu Wai Hospital throughout the year 2013 consecutively enrolled. The primary endpoint was all-cause mortality. The secondary endpoint was cardiac mortality. CAR was calculated with the formula: hs-CRP (mg/L)/albumin (g/L). According to the optimal cut-off value of CAR for all-cause mortality, patients were divided into higher CAR (CAR-H) and lower CAR (CAR-L) groups.

RESULTS

A total of 2755 patients with T2DM who underwent PCI and received dual antiplatelet therapy were finally enrolled. During a follow-up of 5 years (interquartile range: 5.0-5.1 years), 126 (4.6%) all-cause mortalities and 74 (2.7%) cardiac mortalities were recorded. In the multivariable Cox model, CAR-H was associated with a higher risk of all-cause mortality (hazard ratio [HR]: 1.634, 95% confidence interval [CI] 1.121-2.380, p = 0.011) and cardiac mortality (HR: 1.733, 95% CI 1.059-2.835, p = 0.029) compared with CAR-L. When comparing the predictive value, CAR was superior to hs-CRP for all-cause mortality (area under the curve [AUC] 0.588 vs. 0.580, p = 0.002) and cardiac mortality (AUC 0.602 vs. 0.593, p = 0.004).

CONCLUSION

In this real-world cohort study, a higher level of CAR was associated with worse 5-year outcomes among diabetic patients with PCI.

Association between the C-reactive protein to albumin ratio and adverse clinical prognosis in patients with young stroke

BACKGROUND

The inflammatory response plays an important role in ischemic stroke, and the incidence of stroke in young adults has increased rapidly in recent years. The C-reactive protein-to-albumin ratio (CAR) is a new index that reflects the overall inflammatory status of patients with major diseases; however, no studies have reported the relationship between CAR and young stroke.

METHODS

The participants' baseline characteristics and laboratory examination results, including CAR, were obtained at admission. The modified Rankin Scale (mRS) scores at the 30-day and 90-day follow-ups were obtained from all patients. All the participants included in the study were classified into four groups according to CAR quartiles (Q1-Q4). Logistic regression was used to analyze the relationship between different CAR levels and adverse outcomes (mRS 3-6 and mRS 2-6). We also plotted receiver operating characteristic curves of CAR for adverse clinical outcomes and calculated the area under the curve and cutoff values.

RESULTS

A total of 630 patients with young stroke were enrolled in the study. In the multivariate logistic regression model, at the 30-day follow-up, the Q3 and Q4 (significantly increased CAR) groups showed an elevated risk of mRS score of 2-6 (odds ratio [OR]: 2.94; 95% confidence interval [CI]: 1.40-6.16, p < 0.01; OR: 4.01; 95% CI: 1.88-8.91, p < 0.01). At the 90-day follow-up, the Q3 and Q4 groups still showed an elevated risk of an mRS score of 2-6 (Q3, OR: 2.76; 95% CI: 1.30-5.86, p < 0.01; Q4, OR: 2.63; 95% CI: 1.22-5.65, p < 0.01).

CONCLUSION

A significantly increased CAR was independently associated with an increased risk of adverse outcomes in young patients with stroke.

High levels of C-reactive protein-to-albumin ratio (CAR) are associated with a poor prognosis in patients with severe fever with thrombocytopenia syndrome in early stage

C-reactive protein-to-albumin ratio (CAR) can be used to assess the prognosis of various diseases. This study aimed to evaluate the relationship between CAR on the prognosis of patients with severe fever with thrombocytopenia syndrome (SFTS). This study included 155 SFTS patients from the Public Health Clinical Center of Dalian from January to December 2021. They were divided into survival and deceased groups based on the clinical prognosis. The independent risk factors for poor prognosis of SFTS patients at an early stage were determined by Cox regression. The efficacy of CAR prediction was assessed by the receiver operating characteristic (ROC) curve. A total of 155 patients were included in this study, with an average age of 61.98± 11.70 years, including 77 males and 65 females. The mortality rate of the patients enrolled in this study was 14.19%. Multivariate Cox regression indicated that CAR (hazard ratio = 2.585, 95% confidence interval [CI] 1.405-4.753, p = 0.002) could be an independent predictor for prognosis in SFTS patients at an early stage. CAR had an AUC of 0.781 (95% CI, 0.665-0.898, p = 0.000), a cutoff value of 0.57, a sensitivity of 0.77, and a specificity of 0.80, with better predictive efficacy, compared to neutrophil-to-lymphocyte ratio (NLR). High levels of CAR are associated with poor prognosis in SFTS patients, and CAR can be used as an independent predictor for SFTS patients.

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

Purpose

This study was to explore the predictive value of monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophils to high-density lipoprotein cholesterol ratio (NHR), C-reactive protein-to-lymphocyte ratio (CLR), and C-reactive protein-to-albumin ratio (CAR) for type 2 diabetes mellitus (T2DM) in patients with active pulmonary tuberculosis (APTB).

Patients and Methods

A total of 991 active pulmonary tuberculosis (APTB) patients (201 with T2DM) were hospitalized in the Department of Tuberculosis, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology were included. The routine blood examination indicators and biochemical parameters were collected to calculate MHR, NHR, CLR, and CAR. The Pearson correlation analysis, Univariate Logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of MHR, NHR, CLR, and CAR for APTB-T2DM patients.

Results

The levels of MHR, NHR, CLR, and CAR in the APTB-T2DM patients were significantly higher than in the APTB-no T2DM patients (P < 0.05). Additionally, the MHR, NHR, CLR, and CAR have a positive correlation with fasting blood glucose in the whole study population. However, in the APTB-T2DM patients, MHR, NHR, and CAR were not correlated with fasting blood glucose, and only CLR was positively correlated with fasting blood glucose. The area under curve (AUC) predicting APTB-T2DM patients of the MHR, NHR, CLR, and CAR was 0.632, 0.72, 0.715, and 0.713, respectively. Further, univariate logistic regression analyses showed that the higher MHR, NHR, CLR, and CAR were independent risk factors for APTB-T2DM (P < 0.01). The MHR, NHR, CLR, and CAR quartiles were used to divide the APTB patients into four groups for further analysis. The prevalence of T2DM was significantly higher in APTB individuals as MHR, NHR, CLR, and CAR values increased (P < 0.05).

Conclusion

MHR, NHR, CLR, and CAR are simple and practicable inflammatory parameters that could be used for assessing T2DM in APTB. APTB patients have a greater possibility to be diagnosed with T2DM with the higher MHR, NHR CLR, and CAR values. Therefore, more attention should be given to the indicator in the examination of APTB.