Association between C-reactive protein/albumin ratio and all-cause mortality in patients with stroke: Evidence from NHANES cohort study.

BACKGROUND AND AIMS: The inflammatory nutritional status is widely associated with the long-term prognosis of non-fatal stroke. The objective of this study is to examine the correlation between the C-reactive protein to albumin ratio (CAR), a new marker indicating both inflammatory and nutritional status, and the overall mortality rate among stroke patients. METHODS AND RESULTS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database and corresponding public-use mortality data from the linked National Death Index (NDI). The study utilized maximally selected rank statistics to determine the optimal cutoff points for the CAR. Subsequently, participants were stratified into higher- and lower-CAR groups based on these cutoff points. The Kaplan-Meier survival method was used to study overall survival probability. Multivariable Cox proportional regression models were employed to calculate the Hazard Ratio (HR) and corresponding confidence interval (CI). Restricted cubic spline (RCS) model was applied to detect potential non-linear relationship between CAR and mortality risk. Furthermore, stratified and sensitive analyses were performed to examine the robustness and reliability of the results. The study, encompassing 1043 participants with an average age of 64.61 years, identified a cutoff value of 0.32 for CAR, with notable variances observed across gender and age cohorts. Over an average follow-up period of 116 months, 679 instances of all-cause mortality were documented. Kaplan-Meier survival analysis unveiled noteworthy disparities in survival probabilities between groups categorized by high and low CAR levels (p = 0.00081). Continuous CAR analysis consistently demonstrated a positive correlation between elevated CAR values and heightened risk (HR = 1.78 (1.36, 2.33)) of all-cause mortality among stroke patients. Similarly, individuals in the high CAR group exhibited adjusted HR of 1.34 (0.96, 1.89) for all-cause mortality compared to their low CAR counterparts. Subgroup and sensitive analysis consistently reinforced these findings. Smoothing curve fitting further validated CAR's significance as a prognostic indicator of all-cause mortality, indicating a linear relationship. CONCLUSION: Elevated CAR is associated with increased long-term risk of mortality for individuals who have experienced a stroke, suggesting that CAR could serve as a survival indicator.

Predictive value of the C-reactive protein to albumin ratio in the treatment of septic arthritis in young children: a retrospective study.

INTRODUCTION: Septic arthritis (SA) can cause lifelong disability in children due to joint dysfunction but there is controversy regarding the timing of surgery in SA. The C-reactive protein to albumin ratio (CAR) has emerged as a novel marker of inflammation and has been extensively used in predicting inflammatory bowel disease, arthritis, and systemic inflammation. Despite advancements, few studies have evaluated the role of CAR in SA. Therefore, the present study was aimed to investigate whether CAR could serve as predictive indicators for determining whether patients under four years old with SA should be managed conservatively or require surgical intervention, and to analyze its predictive accuracy. HYPOTHESIS: An increase in CAR values among patients under four years old with SA indicates the requirement of surgical intervention. MATERIALS AND METHODS: This retrospective study enrolled SA children under four years old and divided them into two groups, the surgery and conservative groups. The clinical data between the two groups were compared and multivariate logistic regression was performed to assess the independent predictors of SA requiring surgery. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to determine the predictive ability of CAR in SA requiring surgery. RESULTS: A total of 82 SA children were included, with 42 children (51.3%) in the surgery group and 40 children (48.7%) in the conservative group. CAR ≥ 1.165 [OR = 12.641, 95% CI (4.264-37.479), p < 0.001] was an independent predictive indicator for surgery in SA children under four years old, with a predicted sensitivity of 0.714, specificity of 0.850, and AUC of 0.793 [95% (0.694-0.893)] indicating good predictive accuracy. DISCUSSION: CAR to be an independent predictive indicator patients under four years old with SA. And a CAR value ≥ 1.165 upon admission in these patients suggests the necessity for surgical intervention. LEVEL OF EVIDENCE: IV, Retrospective study.

Preoperative and Postoperative C-Reactive Protein to Albumin Ratio (CAR) as a Prognostic Marker for Survival of Esophageal Squamous Cell Carcinoma Patients After Surgery.

BACKGROUND/AIM: Recent studies have reported that the C-reactive protein (CRP) to albumin ratio (CAR) may be a useful prognostic biomarker in various types of cancer patients. However, the mechanism underlying this observation is unclear. The present study aimed to clarify why the CAR can predict post-esophagectomy prognosis, the relationship between pre- and postoperative CAR, and whether postoperative CAR can predict the prognosis of esophageal cancer patients. PATIENTS AND METHODS: We investigated 158 esophagectomy patients with esophageal squamous cell carcinoma. Hematological examinations were performed on postoperative days (POD) 1, 3, 5, 7, 10, and 14. RESULTS: Preoperative CAR was a significant independent prognostic factor of overall survival (OS) [hazard ratio (HR)=2.247; p=0.0005], and there was a strong correlation between preoperative CAR and tumor depth. The preoperative high-CAR (pre-high-CAR) group had significantly higher CAR on all postoperative days (POD). We then divided the patients as follows: those with at least two low-CAR days on POD 5, 7, and 10 were assigned to the modified post-low-CAR (mPost-low-CAR) group, and others were assigned to the modified post-high-CAR (mPost-high-CAR) group. The 5-year OS rate was significantly higher in the mPost-low-CAR group than in the mPost-high-CAR group, which predicted a more accurate prognosis (p<0.0001, HR=2.769). CONCLUSION: Preoperative CAR was associated with tumor depth and diameter, and patients in the pre-high-CAR group continued to have significantly higher CAR postoperatively. These factors were presumed to reflect disease prognosis. Furthermore, grouping by CAR on POD 5, 7, and 10 reflected patient prognosis more accurately than preoperative CAR.

A novel model for predicting intravenous immunoglobulin-resistance in Kawasaki disease: a large cohort study.

Background: Predicting intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) can aid early treatment and prevent coronary artery lesions. A clinically consistent predictive model was developed for IVIG resistance in KD. Methods: In this retrospective cohort study of children diagnosed with KD from January 1, 2016 to December 31, 2021, a scoring system was constructed. A prospective model validation was performed using the dataset of children with KD diagnosed from January 1 to June 2022. The least absolute shrinkage and selection operator (LASSO) regression analysis optimally selected baseline variables. Multivariate logistic regression incorporated predictors from the LASSO regression analysis to construct the model. Using selected variables, a nomogram was developed. The calibration plot, area under the receiver operating characteristic curve (AUC), and clinical impact curve (CIC) were used to evaluate model performance. Results: Of 1975, 1,259 children (1,177 IVIG-sensitive and 82 IVIG-resistant KD) were included in the training set. Lymphocyte percentage; C-reactive protein/albumin ratio (CAR); and aspartate aminotransferase, sodium, and total bilirubin levels, were risk factors for IVIG resistance. The training set AUC was 0.825 (sensitivity, 0.723; specificity, 0.744). CIC indicated good clinical application of the nomogram. Conclusion: The nomogram can well predict IVIG resistance in KD. CAR was an important marker in predicting IVIG resistance in Kawasaki disease.

C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19.

Objectives As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to the diagnosis and follow-up of COVID-19 patients, (2) the differences between the laboratory-confirmed (LC), unconfirmed (LUC), and control (C) groups, and (3) the variation between groups of acute-phase reactants and biomarkers that can be used as an indicator of disease severity and inflammation. Materials and Methods A total of 102 patients undergoing treatment with COVID-19 interim guidelines were evaluated. Reverse transcriptase-polymerase chain reaction (RT-PCR) test was positive in 56 (LC), classified as mild or severe, and negative in 46 (LUC) patients. In addition, 30 healthy subjects (C) with negative RT-PCR tests were also evaluated. All statistical analyses were performed with the SPSS 22.0 program and the p -values for significant findings were less than 0.05. Parametric/nonparametric distribution was determined by performing the Kolmogorov-Smirnov test for all groups. Student's t -test was used for variables with parametric distribution and the Mann-Whitney U-test for variables with the nonparametric distribution. A cut-off level for biomarkers was determined using the ROC (receiver operator characteristic) curve. Results In the LC group, platelet, platecrit, mean platelet volume, platelet diameter width, white blood cell, lymphocyte, eosinophil, neutrophil, immature granulocyte, immature lymphocyte, immature monocyte, large immune cell, and atypical lymphocyte counts among the complete blood count parameters of mature and immature cell counts showed a significant difference according to the C and LUC groups. C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and C-reactive protein-to-albumin ratio (CAR) indices were significantly elevated in LC patients and were significantly higher in patients classified as severe compared to mild. When CAR optimal cutoff was determined as 0.475, area under the curve was 0.934, sensitivity was 90.91%, specificity was 86.21%, positive predictive value was 92.59%, and negative predictive value was 83.33%. The diagnostic accuracy for CAR was 89.29%. Conclusion The CAR index with the highest diagnostic value and the highest predictability could be the most useful biomarker in the diagnosis and evaluation of disease severity in COVID-19 patients.

High C-Reactive Protein to Albumin Ratio Predicts Inferior Clinical Outcomes in Extranodal Natural Killer T-Cell Lymphoma.

OBJECTIVE: The prognostic value of C-reactive protein to albumin ratio (CAR) has been identified in several cancers but not in extranodal natural killer T-cell lymphoma (ENKTL) as yet. We aimed to evaluate the prognostic value of CAR in ENKTL. METHODS: A retrospective study with 246 patients with ENKTL was performed to determine the prognostic value of pretreatment CAR and examine the prognostic performance of CAR incorporating with International Prognostic Index (IPI) or natural killer/T-cell lymphoma prognostic index (NKPI) by nomogram. RESULTS: The Cox regression analyses showed that high CAR (>0.3) independently predicted unfavorable progression-free survival (PFS, P = .011) and overall survival (OS, P = .012). In the stratification analysis, the CAR was able to separate patients into different prognoses regarding both OS and PFS in Ann Arbor stage I+II as well as III+IV, IPI score 0 to 1, and NKPI score 1 to 2 subgroups (all P < .05). Additionally, the predictive accuracy of the IPI-based nomogram incorporating CAR, albumin to globulin ratio (AGR), and IPI for OS and PFS appeared to be lower than the NKPI-based nomogram incorporating CAR, age, AGR, extranodal site, and NKPI. CONCLUSION: Pretreatment CAR is a simple and easily accessible parameter for independently predicting OS and PFS in patients with ENKTL.