C-reactive Protein To Albumin Ratio Research Articles

Association between inflammation-based prognostic markers and mortality after hip replacement

We aimed to evaluate the association between inflammation-based prognostic markers and mortality after hip replacement. From March 2010 to June 2020, we identified 5,369 consecutive adult patients undergoing hip replacement with C-reactive protein (CRP), albumin, and complete blood count measured within six months before surgery. Receiver operating characteristic (ROC) curves were generated to evaluate predictabilities and estimate thresholds of CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). Patients were divided according to threshold, and mortality risk was compared. The primary outcome was one-year mortality, and overall mortality was also analyzed. One-year mortality was 2.9%. Receiver operating characteristics analysis revealed areas under the curve of 0.838, 0.832, 0.701, and 0.732 for CAR, NLR, PLR, and modified Glasgow Prognostic Score, respectively. The estimated thresholds were 2.10, 3.16, and 11.77 for CAR, NLR, and PLR, respectively. According to the estimated threshold, high CAR and NLR were associated with higher one-year mortality after adjustment (1.0% vs. 11.7%; HR = 2.16; 95% CI 1.32–3.52; p = 0.002 for CAR and 0.8% vs. 9.6%; HR = 2.05; 95% CI 1.24–3.39; p = 0.01 for NLR), but PLR did not show a significant mortality increase (1.4% vs. 7.4%; HR = 1.12; 95% CI 0.77–1.63; p = 0.57). Our study demonstrated associations of preoperative levels of CAR and NLR with postoperative mortality in patients undergoing hip replacement. Our findings may be helpful in predicting mortality in patients undergoing hip replacement.

Serum C-reactive protein to albumin ratio as a reliable marker of diabetic neuropathy in type 2 diabetes mellitus.

In various diseases characterized by inflammation, the C-reactive protein to albumin ratio (CAR) serves as a marker of inflammation. Type 2 diabetes mellitus (T2DM) is frequently complicated by diabetic neuropathy (DN) and timely diagnosis is crucial for treatment and potential reversal of this complication. Since both DN and T2DM are associated with chronic, low-grade inflammation, our study aimed to evaluate CAR levels in type 2 diabetic subjects with DN and compare them to those in subjects without DN. Patients presenting to our institutional outpatient clinics were divided into two groups based on the presence of DN. Data on characteristics and laboratory measures, including CAR, were compared between the DN and non-DN groups. The median CAR in the DN and non-DN group was 2.19% (range 0.2 - 49%) and 0.56% (range 0.02 - 5.8%), respectively (P < 0.001). CAR showed significant positive correlations with weight (r = 0.19, P = 0.01), body mass index (BMI) (r = 0.11, P = 0.03), waist circumference (r = 0.10, P = 0.046), fasting glucose (r = 0.14, P = 0.004), serum creatinine (r = 0.25, P < 0.001), triglyceride (r = 0.17, P < 0.001), and low density lipoprotein (LDL)-cholesterol (r = 0.13, P = 0.001) levels, and an inverse correlation with estimated glomerular filtration rate (eGFR) (r = -0.16, P <0.001). Additionally, CAR demonstrated a sensitivity of 78% and specificity of 73% for predicting DN at a threshold of 1.02% (area under curve [AUC] 0.84, 95% confidence interval [CI] 0.82 - 0.87, P < 0.001). High CAR levels were independently associated with an increased risk of DN (odds ratio [OR]1.34, 95% CI 1.08 - 1.62, P < 0.001). Elevated CAR levels may thus be considered a potential marker for DN in T2DM patients.

Risk factors for postoperative pneumonia in esophageal cancer patients

Abstract Purpose Patients undergoing surgery for esophageal cancer (EC) frequently experience postoperative pneumonia (POP). POP promotes poor prognosis as well as increased medical costs and longer hospital stays. Therefore, it is desirable to prevent and strictly control high-risk cases to reduce the incidence of pneumonia. The present study aimed to determine the risk factors for POP in EC. Patients and Methods The subjects of this retrospective study were 151 patients with EC who underwent subtotal esophagectomy in our department between January 2012 and December 2021. Univariate and multivariate logistic regression analyses were used to evaluate the association between the incidence of POP and clinical factors. Result Among 151 patients, 33 cases (21.8%) developed POP. Multivariate analysis identified preoperative C-reactive protein-to-albumin ratio (CAR) ≥0.03 (odds ratio (OR): 2.69, P=0.0352), chronic obstructive lung disease (COPD) (OR: 7.32, P=0.0001), and diabetes mellitus (DM) (OR: 3.35, P=0.0252) as independent risk factors for POP. In accordance with the number of risk factors, the incidence rate of POP drastically increased, and its rate in patients with three risk factors was 80%. Conclusion High CAR, COPD, and DM are independent risk factors for the development of POP in patients undergoing subtotal esophagectomy for EC. Clinicians should be aware of the risk factors for POP and consider more intensive preventive measures and postoperative management in patients with EC.

Development and performance assessment of novel machine learning models for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage patients: external validation in MIMIC-IV.

Postoperative pneumonia (POP) is one of the primary complications after aneurysmal subarachnoid hemorrhage (aSAH) and is associated with postoperative mortality, extended hospital stay, and increased medical fee. Early identification of pneumonia and more aggressive treatment can improve patient outcomes. We aimed to develop a model to predict POP in aSAH patients using machine learning (ML) methods. This internal cohort study included 706 patients with aSAH undergoing intracranial aneurysm embolization or aneurysm clipping. The cohort was randomly split into a train set (80%) and a testing set (20%). Perioperative information was collected from participants to establish 6 machine learning models for predicting POP after surgical treatment. The area under the receiver operating characteristic curve (AUC), precision-recall curve were used to assess the accuracy, discriminative power, and clinical validity of the predictions. The final model was validated using an external validation set of 97 samples from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. In this study, 15.01% of patients in the training set and 12.06% in the testing set with POP after underwent surgery. Multivariate logistic regression analysis showed that mechanical ventilation time (MVT), Glasgow Coma Scale (GCS), Smoking history, albumin level, neutrophil-to-albumin Ratio (NAR), c-reactive protein (CRP)-to-albumin ratio (CAR) were independent predictors of POP. The logistic regression (LR) model presented significantly better predictive performance (AUC: 0.91) than other models and also performed well in the external validation set (AUC: 0.89). A machine learning model for predicting POP in aSAH patients was successfully developed using a machine learning algorithm based on six perioperative variables, which could guide high-risk POP patients to take appropriate preventive measures.

Clinical utility of C-reactive protein-to-albumin ratio in the management of patients with inflammatory bowel disease.

C-reactive protein (CRP)-to-albumin ratio (CAR) is a novel score with prognostic value in inflammatory conditions. This study assessed the performance of CAR as an objective marker of disease activity and prediction of subtherapeutic infliximab trough levels in patients with inflammatory bowel disease (IBD). A retrospective study was conducted on three different patient cohorts with IBD: patients who had (i) fecal calprotectin (FC) measurements; (ii) Mayo Endoscopic Scores; and (iii) infliximab trough levels available. The relative performances of CAR, albumin, and CRP were compared in predicting disease activity (based on FC or Mayo Endoscopic Score) and infliximab trough levels. In both the FC (n = 289) and endoscopy (n = 65) cohorts, albumin and CAR correlated with objective disease activity. CAR (area under the curve [AUC] 0.70) was only marginally better at detecting active disease, measured by FC, compared to CRP (AUC 0.68). A CAR >0.15 was able to detect Mayo 3 disease (AUC 0.83, sensitivity 81%, specificity 89%). Albumin (r = 0.38) and CAR (r = -0.42) correlated with infliximab trough levels (n = 204). The optimal CAR for detecting subtherapeutic infliximab trough levels was >0.08 (AUC 0.70, sensitivity 66%, specificity 64%). Both albumin and CAR were independent predictors of subtherapeutic infliximab trough levels but correlated poorly with infliximab trough levels longitudinally in the same patient. CAR was only a modest discriminator of subtherapeutic infliximab levels and offers little more than CRP in detecting active disease. CAR has potential to detect severe Mayo 3 disease and could be calculated in patients admitted with suspected acute severe ulcerative colitis.

Association between C-Reactive Protein to Albumin Ratio and Multi-Vessel Coronary Artery Disease in Patients with Stable Coronary Artery Disease.

Multivessel coronary artery disease (MV-CAD) remains a prevalent and serious health concern despite advances in treatment. Early identification and risk stratification are crucial for optimizing treatment. The CRP-to-albumin ratio (CAR) has emerged as a promising biomarker in various inflammatory diseases. This study investigated the potential of CAR as a marker for MV-CAD. We retrospectively analyzed 1360 patients with suspected CAD. Patients were divided into three groups based on CAR tertiles. Logistic regression analyses were carried out to estimate the association between MHR and MV-CAD. Elevated CAR levels were significantly associated with an increased prevalence of CAD (p < 0.001), severe CAD (p < 0.001), and MV-CAD (p < 0.001). Patients with the highest CAR tertile had five times higher odds of MV-CAD compared to the lowest tertile (p < 0.001). CAR demonstrated moderate accuracy in predicting MV-CAD (AUC: 0.644, 95% CI: 0.615-0.674, p < 0.001). CAR holds promise as a tool for the early identification and risk stratification of multivessel CAD. Further research is warranted to validate its clinical utility and explore its potential to guide treatment decisions and improve outcomes in patients with this high-risk condition.

The association between C-reactive protein to albumin ratio and infarct location in patients with ST-segment elevation myocardial infarction

Purpose: Inflammation has a crucial role in the pathogenesis of ST segment elevation myocardial infarction (STEMI). Recently, the C-reactive protein to albumin ratio (CAR) has emerged as a novel parameter of systemic inflammation. Although studies have demonstrated the that anterior STEMI location is associated with a higher infarct size and worse prognosis, no study has investigated the CAR in relation to infarct location. We herein aimed to evaluate whether there is a difference regarding the CAR between patients with anterior and non-anterior STEMI location.&#x0D; Materials and Methods: The study population comprised 273 consecutive STEMI patients who were divided into 2 groups based on the STEMI location, as the anterior STEMI group (n=114) and non-anterior STEMI group (n=159). Baseline characteristics were recorded, and the CAR was calculated for all patients. &#x0D; Results: Both groups were similar in terms of the baseline clinical characteristics. However, syntax score (p

Association between Preoperative C-Reactive Protein-to-Albumin Ratio and Mortality after Plastic and Reconstructive Surgery.

Background: Prognostic markers have not been extensively studied in plastic and reconstructive surgery. Objective: We aimed to evaluate the prognostic value of preoperative C-reactive protein (CRP)-to-albumin ratio (CAR) in plastic and reconstructive surgery and to compare it with the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score (mGPS). Methods: From January 2011 to July 2019, we identified 2519 consecutive adult patients who were undergoing plastic and reconstructive surgery with available preoperative CRP and albumin levels. The receiver operating characteristic (ROC) curve was generated to evaluate predictability and estimate the threshold. The patients were divided according to this threshold, and the risk was compared. The primary outcome was one-year mortality, and the overall mortality was also analyzed. Results: The one-year mortality was 4.9%. The CAR showed an area under the ROC curve of 0.803, which was higher than those of NLR, PLR, and mGPS. According to the estimated threshold of 1.05, the patients were divided into two groups; 1585 (62.9%) were placed in the low group, and 934 (37.1%) were placed in the high group. After inverse probability weighting, the mortality rate during the first year after plastic and reconstructive surgery was significantly increased in the high group (1.3% vs. 10.9%; hazard ratio, 2.88; 95% confidence interval, 2.17-3.83; p < 0.001). Conclusions: In this study, high CAR was significantly associated with one-year mortality of patients after plastic and reconstructive surgery. Further studies are needed on prognostic markers in plastic and reconstructive surgery.

Prognostic value of ANDC score and CRP-derived inflammatory markers in hospitalized adult patients with COVID-19

Background:SARS-CoV-2 has been a causative agent of severe acute respiratory syndrome since last 2019. Early diagnosis of severe cases is crucial to decrease a patient's hospital stay and death risk. severity and prognosis Patients and Methods:This retrospective study included COVID-19 patient underwent chest computed tomography scan and a battery of laboratory tests, including measurements of leukocytes, neutrophils, lymphocytes, lactic dehydrogenase, creatinine level, ferritin, D-dimer, albumin, and C-reactive protein. In addition, the CRP to lymphocyte ratio (CLR), CRP to albumin ratio (CAR), CRP to platelet ratio (CPR) and the ANDC score. Patients' clinical outcomes including length of hospital stays (LOS) and mortality were recorded. Results:Out of 98 patients, 51 patients had passed away. There was a statistically significant difference between survivors and non-survivors regarding age, TLC, ANC, NLR, D-Dimer, and albumin. Moreover, a highly statistically significant difference regarding CRP levels, CAR, CPR, CLR, and ANDC was noted. Serum CRP level > 123 ng/ml, CAR > 36.77, CPR level > 462, and CLR > 84 had sensitivity; (64.71 %, 66.6 %, 72.5 %, and 76.4 %, respectively) and specificity; (85.1 %, 78.7 %, 72.3 %, and 72.3 % respectively) in mortality prediction. Meanwhile, the ANDC score was the most sensitive indicator (88.2 %) for mortality outcome. Multivariable regression analysis revealed that aging, CPR, and ANDC level were independently associated with mortality with H.R. [1.025 (1.002–1.050); 2.338 (1.189–4.599) and 2.896 (1.191–7.044)] Conclusion:The value of the ANDC score and CRP-derived inflammatory indicators correlate with the likelihood of mortality, so the efficacy of these metrics might assist in urgent early dialogues about treatment escalation.

Preoperative C-reactive protein/albumin ratio and mortality of off-pump coronary artery bypass graft.

We sought to investigate the prognostic value of preoperative C-reactive protein (CRP)-to-albumin ratio (CAR) for the prediction of mortality in patients undergoing off-pump coronary artery bypass grafting (OPCAB). From January 2010 to August 2016, adult patients undergoing OPCAB were analyzed retrospectively. In a total of 2,082 patients, preoperative inflammatory markers including CAR, CRP, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio were recorded. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold and compare the predictive values of the markers. The patients were divided into two groups according to the cut-off value of CAR, and then the outcomes were compared. The primary end point was 1-year mortality. During the 1-year follow-up period, 25 patients (1.2%) died after OPCAB. The area under the curve of CAR for 1-year mortality was 0.767, which was significantly higher than other inflammatory markers. According to the calculated cut-off value of 1.326, the patients were divided into two groups: 1,580 (75.9%) patients were placed in the low CAR group vs. 502 (24.1%) patients in the high CAR group. After adjustment with inverse probability weighting, high CAR was significantly associated with increased risk of 1-year mortality after OPCAB (Hazard ratio, 5.01; 95% Confidence interval, 2.01-12.50; p < 0.001). In this study, we demonstrated that preoperative CAR was associated with 1-year mortality following OPCAB. Compared to previous inflammatory markers, CAR may offer superior predictive power for mortality in patients undergoing OPCAB. For validation of our findings, further prospective studies are needed.

C-reactive protein-to-albumin ratio and neutrophil-to-albumin ratio for predicting response and prognosis to infliximab in ulcerative colitis.

The C-reactive protein-to-albumin ratio (CAR) and neutrophil-to-albumin ratio (NAR) serve as established markers for inflammatory diseases. However, limited studies have investigated their potential in predicting response and prognosis following infliximab (IFX) treatment. The objective of this paper was to evaluate feasibility of CAR and NAR as biomarkers to assess response to IFX induction therapy. Additionally, we attempted to determine the capacity to predict clinical remission in ulcerative colitis (UC) after 54 weeks of IFX treatment. We enrolled a total of 157 UC patients diagnosed via endoscopic mucosal biopsy at our hospital between October 2018 and June 2023. Additionally, 199 patients presenting with gastrointestinal symptoms, who underwent physical examinations, constituted the control group. Comprehensive clinical data, laboratory indicators, and endoscopic findings were systematically collected. CAR and NAR values were computed before treatment, post-induction, and subsequently at 8-week intervals. Comparisons between two groups were analyzed using the Wilcoxon rank-sum test or the independent samples t-test, and comparisons between multiple groups were analyzed using the one-way ANOVA (analysis of variance) or the Kruskal-Wallis rank sum test. We found CAR and NAR emerged as sensitive biomarkers for assessing disease activity. Notably, our findings indicated their dual predictive capability: foreseeing response post-IFX induction therapy and prognosticating the likelihood of UC patients achieving clinical remission following 54 weeks on IFX therapy.

High Systemic Inflammatory Protein Index Is Associated with Clinically Ineffective Reperfusion in Acute Anterior Circulation Ischemic Stroke Patients Undergoing Endovascular Treatment.

Nearly half of the patients undergoing endovascular treatment (EVT)do not have favorable outcomes despite successful recanalization of the occluded artery, which is also known as clinically ineffective reperfusion. We proposed a novel index-the systemic inflammatory protein index (SIPI), based on albumin, globulin, and C-reaction protein (CRP). We aimed to evaluate the relationship between inflammatory biomarkers at varying time points and the 90-day functional outcomes and investigate inflammatory biomarkers' dynamic changes during hospitalization in acute ischemic stroke (AIS) patients of anterior circulation undergoing EVT. We retrospectively recruited consecutive patients diagnosed with AIS of anterior circulation and treated with EVT from January 2018 to June 2022 in Nanfang Hospital. Albumin, globulin, and CRP were recorded on admission, 1day, 3days, and 7days after EVT. An unfavorable functional outcome was defined as 90-day modified Rankin Scale (mRS) of 3-6. Albumin-to-globulin ratio (AGR), C-reactive protein-to-albumin ratio (CAR), and SIPI were calculated as follows: AGR = albumin/globulin; CAR = CRP/albumin; SIPI = CRP × globulin/albumin. A total of 238 consecutive anterior circulation AIS patients with EVT were included, among which 145 (60.9%) patients had unfavorable outcomes. After adjusting for confounding factors, admission globulin, admission AGR, 1-day AGR, 3-day albumin, 3-day CRP, 3-day CAR, 3-day SIPI, 7-day albumin, 7-day CRP, 7-day CAR, and 7-day SIPI showed an independent association with 90-day functional outcome. Of them, 3-day SIPI had the most robust discriminative ability with an area under the curve of 0.719 (CI 0.630-0.808, p < 0.001). There were differences in the dynamic change of inflammatory biomarkers between the subjects with favorable and unfavorable functional outcomes. Inflammatory biomarkers, including albumin, globulin, CRP, AGR, CAR, and SIPI, are independent predictors of 90-day unfavorable outcomes in anterior circulation AIS patients with EVT. SIPI of day 3 has the highest predictive value.

C-Reactive Protein-to-Albumin Ratio to Predict Tolerability of S-1 as an Adjuvant Chemotherapy in Pancreatic Cancer.

Adjuvant chemotherapy (AC) with S-1 after radical surgery for resectable pancreatic cancer (PC) has shown a significant survival advantage over surgery alone. Consequently, ensuring that patients receive a consistent, uninterrupted S-1 regimen is of paramount importance. This study aimed to investigate whether the C-reactive protein-to-albumin ratio (CAR) could predict S-1 AC completion in PC patients without dropout due to adverse events (AEs). We retrospectively enrolled 95 patients who underwent radical pancreatectomy and S-1 AC for PC between January 2010 and December 2022. A statistical analysis was conducted to explore the correlation of predictive markers with S-1 completion, defined as continuous oral administration for 6 months. Among the 95 enrolled patients, 66 (69.5%) completed S-1, and 29 (30.5%) failed. Receiver operating characteristic curve analysis revealed 0.05 as the optimal CAR threshold to predict S-1 completion. Univariate and multivariate analyses further validated that a CAR ≥ 0.05 was independently correlated with S-1 completion (p < 0.001 and p = 0.006, respectively). Furthermore, a significant association was established between a higher CAR at initiation of oral administration and acceptable recurrence-free and overall survival (p = 0.003 and p < 0.001, respectively). CAR ≥ 0.05 serves as a predictive marker for difficulty in completing S-1 treatment as AC for PC due to AEs.

Healthy lifestyles, systemic inflammation and breast cancer risk: a mediation analysis

BackgroundDespite the known association between healthy lifestyles and reduced risk of breast cancer, it remains unclear whether systemic inflammation, as a consequence of unhealthy lifestyles, may mediate the association.MethodsA cohort study of 259,435 female participants in the UK Biobank was conducted to estimate hazard ratio (HR) for breast cancer according to 9 inflammation markers using Cox regression models. We further estimated the percentage of total association between healthy lifestyle index (HLI) and breast cancer that is mediated by these inflammation markers.ResultsDuring 2,738,705 person-years of follow-up, 8,889 cases of breast cancer were diagnosed among 259,435 women in the UK Biobank cohort. Higher level of C-reactive protein (CRP), systemic immune-inflammation index (SII), CRP-to-albumin Ratio (CAR), CRP-to-lymphocyte Ratio (CLR), monocyte-to-HDL-c ratio (MHR), and neutrophil-to-HDL-c ratio (NHR) were associated with increased breast cancer risk, while a higher lymphocyte-to-monocyte ratio (LMR) was associated with a lower risk. The inverse association between HLI and breast cancer was weakly mediated by CRP (8.5%), SII (1.71%), CAR (8.66%), CLR (6.91%), MHR (6.27%), and NHR (7.33%). When considering individual lifestyle factors, CRP and CAR each mediated 16.58% and 17.20%, respectively, of the associations between diet score and breast cancer risk, while the proportion mediated for physical activity and breast cancer were 12.13% and 11.48%, respectively. Furthermore, MHR was found to mediate 13.84% and 12.01% of the associations between BMI, waist circumference, and breast cancer.ConclusionThe association of HLI and breast cancer is weakly mediated by the level of inflammation, particularly by CRP and CAR. Systemic inflammatory status may be an intermediate in the biological pathway of breast cancer development.

An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study

Background and aimsSevere acute pancreatitis (SAP) is potentially lethal. Considering the role of inflammation in the progression of acute pancreatitis (AP), this study aims to develop a model based on inflammatory indexes for identifying the presence of SAP.MethodsOverall, 253 patients with AP who were consecutively admitted between July 2018 and November 2020 were screened, of whom 60 had SAP. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-platelet ratio (NPR), systemic inflammation response index (SIRI), platelet-to-albumin ratio (PAR), C-reactive protein-to-albumin ratio (CAR), C-reactive protein-to-lymphocyte ratio (CLR), and triglyceride glucose (TyG) index were calculated. Multivariate logistic regression analyses were performed to identify independent risk factors of SAP. Then, inflammation-based models were established. Receiver operating characteristics (ROC) curve analyses were performed. Area under ROC curve (AUROC) was calculated.ResultsDiabetes mellitus, fatty liver, high white blood cell count (WBC), C-reactive protein (CRP), red blood cell distribution width (RDW), procalcitonin (PCT), SII, NLR, NPR, CAR, CLR, and TyG index, and a low LMR were significantly associated with SAP. Considering the collinearity among these variables, 10 multivariate logistic regression analyses were separately performed. Finally, four independent inflammation-based models were established. Of them, the best one, which was calculated as follows: 1.204*fatty liver (yes = 1; no = 0) + 0.419*PCT + 0.005*CLR - 2.629, had an AUROC of 0.795 with a specificity of 73.4% and a sensitivity of 71.7%.ConclusionThe inflammation-based model consisting of fatty liver, PCT, and CLR has a good diagnostic performance for SAP.

The Development and Evaluation of a Prediction Model for Kidney Transplant-Based Pneumocystis carinii Pneumonia Patients Based on Hematological Indicators.

This study aimed to develop a simple predictive model for early identification of the risk of adverse outcomes in kidney transplant-associated Pneumocystis carinii pneumonia (PCP) patients. This study encompassed 103 patients diagnosed with PCP, who received treatment at our hospital between 2018 and 2023. Among these participants, 20 were categorized as suffering from severe PCP, and, regrettably, 13 among them succumbed. Through the application of machine learning techniques and multivariate logistic regression analysis, two pivotal variables were discerned and subsequently integrated into a nomogram. The efficacy of the model was assessed via receiver operating characteristic (ROC) curves and calibration curves. Additionally, decision curve analysis (DCA) and a clinical impact curve (CIC) were employed to evaluate the clinical utility of the model. The Kaplan-Meier (KM) survival curves were utilized to ascertain the model's aptitude for risk stratification. Hematological markers, namely Procalcitonin (PCT) and C-reactive protein (CRP)-to-albumin ratio (CAR), were identified through machine learning and multivariate logistic regression. These variables were subsequently utilized to formulate a predictive model, presented in the form of a nomogram. The ROC curve exhibited commendable predictive accuracy in both internal validation (AUC = 0.861) and external validation (AUC = 0.896). Within a specific threshold probability range, both DCA and CIC demonstrated notable performance. Moreover, the KM survival curve further substantiated the nomogram's efficacy in risk stratification. Based on hematological parameters, especially CAR and PCT, a simple nomogram was established to stratify prognostic risk in patients with renal transplant-related PCP.

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

Background and aimsThe 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 resultsA 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). ConclusionAmong 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.

C-reactive protein to albumin ratio may predict in-hospital mortality in non-ST elevation myocardial infarction.

Objective: The authors investigated the value of novel inflammatory markers, systemic immune-inflammation index and C-reactive protein to albumin ratio (CAR), to predict in-hospital mortality in patients with non-ST elevation myocardial infarction (NSTEMI). Materials & methods: A total of 308 patients who underwent percutaneous coronary intervention because of NSTEMI were retrospectively included in the study. Killip classification, Thrombolysis in Myocardial Infarction score, SYNTAX score, and CAR and systemic immune-inflammation index values were calculated. Results: CAR (cutoff: 0.0864; sensitivity: 94.1%; specificity: 40.5%; p=0.008) and Killip classification (cutoff: 2.5; sensitivity: 64.7%; specificity: 8.9%; p=0.001) were found to be significantly higher in determining in-hospital mortality. Conclusion: This study revealed that CAR is an inexpensive and significant factor in predicting in-hospital mortality in patients undergoing percutaneous coronary intervention for NSTEMI.

Relationship Between Pulmonary Artery Pressure and Inflammation Parameters.

Background Inflammation can play a role in the development and progression of pulmonary hypertension (PHT). In this study, inflammatory parameters were compared in congestive heart failure (CHF) patients with and without PHT. The relationship between pulmonary artery pressure (PAP) and inflammatory parameters was investigated. Materials and methods Out of 80 CHF patients,40 had PHT. The patients' age, gender, smoking status, comorbidities such as diabetes mellitus (DM) and hypertension (HT), and mortality rates were recorded. Inflammatory parameters were recorded. Results The mean age of the PHT group was 64.38 ± 9.17 and the mean age of the non-PHT group was 64.70 ± 8.99. There were 23 men and 17 women in the PHT group, and there were 21 men and 19 women in the non-PHT group. There was no significant difference between the two groups in terms of mean age and gender distribution (p = 0.874 and p = 0.653). Accordingly, the C-reactive protein to albumin ratio (CAR) value was statistically significantly higher in PHT patients (p = 0.023). The eosinophil count was found to be significantly higher in non-PHT patients (p = 0.015). Accordingly, a significant correlation was detected between CAR and PAP (r = 0.392 and p < 0.001). Conclusion In this study, the positive correlation between PAP and CAR and the significantly higher CAR value in PHT patients indicate the presence of inflammation in PHT patients. Studies on the relationship between inflammation and mortality in PHT patients may contribute more to the literature in the future.

C-reactive protein to albumin ratio predict responses to programmed cell death-1 inhibitors in hepatocellular carcinoma patients.

Over the years, programmed cell death-1 (PD-1) inhibitors have been routinely used for hepatocellular carcinoma (HCC) treatment and yielded improved survival outcomes. Nonetheless, significant heterogeneity surrounds the outcomes of most studies. Therefore, it is critical to search for biomarkers that predict the efficacy of PD-1 inhibitors in patients with HCC. To investigate the role of the C-reactive protein to albumin ratio (CAR) in evaluating the efficacy of PD-1 inhibitors for HCC. The clinical data of 160 patients with HCC treated with PD-1 inhibitors from January 2018 to November 2022 at the First Affiliated Hospital of Guangxi Medical University were retrospectively analyzed. The optimal cut-off value for CAR based on progression-free survival (PFS) was determined to be 1.20 using x-tile software. Cox proportional risk model was used to determine the factors affecting prognosis. Eastern Cooperative Oncology Group performance status [hazard ratio (HR) = 1.754, 95% confidence interval (95%CI) = 1.045-2.944, P = 0.033], CAR (HR = 2.118, 95%CI = 1.057-4.243, P = 0.034) and tumor number (HR = 2.932, 95%CI = 1.246-6.897, P = 0.014) were independent prognostic factors for overall survival. CAR (HR = 2.730, 95%CI = 1.502-4.961, P = 0.001), tumor number (HR = 1.584, 95%CI = 1.003-2.500, P = 0.048) and neutrophil to lymphocyte ratio (HR = 1.120, 95%CI = 1.022-1.228, P = 0.015) were independent prognostic factors for PFS. Two nomograms were constructed based on independent prognostic factors. The C-index index and calibration plots confirmed that the nomogram is a reliable risk prediction tool. The ROC curve and decision curve analysis confirmed that the nomogram has a good predictive effect as well as a net clinical benefit. Overall, we reveal that the CAR is a potential predictor of short- and long-term prognosis in patients with HCC treated with PD-1 inhibitors. If further verified, CAR-based nomogram may increase the number of markers that predict individualized prognosis.