Admission Inflammation Markers Influence Long-term Mortality in Elderly Patients Undergoing Hip Fracture Surgery: A Retrospective Cohort Study.

Hip fractures in the elderly have a significant impact, both in terms of human suffering and healthcare costs. Little is known about preoperative markers that may predict mortality following geriatric hip fracture surgery. This study aimed to investigate potential risk factors, including the C-reactive protein to albumin ratio (CAR), for mortality in elderly patients undergoing surgery for hip fracture. A total of 180 elderly patients with hip fractures were included in this cross-sectional study. The patients were divided into two groups: the survival group and the deceased group. Serum levels of C-reactive protein (CRP) and albumin, as well as the CAR, were compared between the two groups to determine whether CAR is a predictor of mortality in elderly patients undergoing hip fracture surgery. The Mini Nutritional Assessment-Short Form was used to evaluate the nutrition status of the patients. The mean age of the 180 participants was 78 years, and 53.3% were female. A statistically significant difference was observed between the two groups in terms of the duration of hospital and intensive care unit stay (p<0.05). According to the receiver operating characteristic (ROC) analysis, with a cutoff value of >0.15, CAR could predict mortality after geriatric hip fracture surgery with a sensitivity of 74% and a specificity of 53%. The area under the ROC curve (AUC) for CAR was 0.67 (95% confidence interval [CI]: 0.57-0.76, p<0.001). CAR and the time between fracture and surgery were found to be independent predictors of mortality (p=0.003, odds ratio [OR]=1.37 and p=0.044, OR=1.33, respectively). An elevated preoperative CAR is associated with a significantly increased risk of mortality in elderly patients undergoing hip fracture surgery. Additionally, a shorter time to surgery was associated with lower mortality in these patients.

AB0134 RELATIONSHIP BETWEEN INFLAMMATORY RATIOS AND RADIOGRAPHIC JOINT DAMAGE IN RHEUMATOID ARTHRITIS

Background/Objectives: This study aimed to evaluate the prognostic significance of preoperative inflammatory biomarkers—C-reactive protein-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR)—in predicting early postoperative complications (within 30 days) in patients undergoing percutaneous endoscopic gastrostomy (PEG). Methods: Data from 184 patients who underwent PEG placement at our institution between January 2021 and May 2022 were retrospectively analyzed. Demographic characteristics, PEG indications, and preoperative laboratory parameters (CRP, albumin, neutrophils, lymphocytes, and platelets) were recorded. CAR was calculated as the ratio of CRP (mg/L) to albumin (g/dL). Complications occurring within 30 days post-procedure were defined as early postoperative complications. Patients with and without complications were compared, and logistic regression analysis was used to identify potential risk factors. Results: The mean age of the patients was 71.5 ± 5.9 years, and 58.7% were male. PEG indications included neurological dysphagia (54.3%), head and neck malignancies (21.7%), and other causes (23.9%). At least one early complication occurred in 26 patients (14.1%). There were no significant differences in age, sex, body mass index, or Charlson Comorbidity Index between patients with and without complications (p &gt; 0.05). Logistic regression revealed that elevated CAR was an independent predictor of postoperative complications (OR = 2.88; 95% CI: 1.62–5.13; p &lt; 0.001). Although NLR (OR = 1.34) and PLR (OR = 1.02) were also associated with increased risk, they were less predictive than CAR in multivariate analysis. Conclusions: Preoperative CAR, NLR, and PLR levels are valuable biomarkers for predicting early complications following PEG. Notably, higher CAR levels are significantly associated with increased complication risk. Incorporating these indicators into clinical decision-making could facilitate early identification of high-risk patients and implementation of preventive strategies.

This study aimed to investigate risk factors associated with severe postoperative complications following hip fracture surgery in elderly patients and to develop a nomogram-based risk prediction model for these complications. A total of 627 elderly patients with hip fractures treated at Yongchuan Hospital of Chongqing Medical University from January 2015 to April 2024 were collected. 439 patients were assigned to the training cohort for model development, and 188 to the validation cohort for model assessment. The training cohort was stratified based on the presence or absence of severe complications. We employed LASSO regression, as well as univariate and multivariate logistic regression analyses, to identify significant factors. A nomogram was constructed based on the outcomes of the multivariate regression. The model's discriminative ability was assessed using the area under the receiver operating characteristic curve (AUC), while calibration plots and decision curve analysis (DCA) evaluated its calibration and stability. Internal validation was performed using the validation cohort. Out of the 627 patients, 118 (18.82%) experienced severe postoperative complications. Both LASSO regression and multivariate logistic analysis identified the modified 5-item frailty index (mFI-5) and the preoperative C-reactive protein to albumin ratio (CAR) as significant predictors of severe complications. The nomogram model, derived from the multivariate analysis, exhibited strong discriminative ability, with an AUC of 0.963 (95% CI: 0.946-0.980) for the training cohort and 0.963 (95% CI: 0.938-0.988) for the validation cohort. Calibration plots demonstrated excellent agreement between the nomogram's predictions and actual outcomes. Decision curve analysis (DCA) indicated that the model provided clinical utility across all patient scenarios. These findings were consistent in the validation cohort. Both the mFI-5 and CAR are predictive factors for severe postoperative complications in elderly patients undergoing hip fracture surgery.

ObjectiveThis study aimed to investigate risk factors associated with severe postoperative complications following hip fracture surgery in elderly patients and to develop a nomogram-based risk prediction model for these complications.MethodsA total of 627 elderly patients with hip fractures treated at Yongchuan Hospital of Chongqing Medical University from January 2015 to April 2024 were collected. 439 patients were assigned to the training cohort for model development, and 188 to the validation cohort for model assessment. The training cohort was stratified based on the presence or absence of severe complications. We employed LASSO regression, as well as univariate and multivariate logistic regression analyses, to identify significant factors. A nomogram was constructed based on the outcomes of the multivariate regression. The model’s discriminative ability was assessed using the area under the receiver operating characteristic curve (AUC), while calibration plots and decision curve analysis (DCA) evaluated its calibration and stability. Internal validation was performed using the validation cohort.ResultsOut of the 627 patients, 118 (18.82%) experienced severe postoperative complications. Both LASSO regression and multivariate logistic analysis identified the modified 5-item frailty index (mFI-5) and the preoperative C-reactive protein to albumin ratio (CAR) as significant predictors of severe complications. The nomogram model, derived from the multivariate analysis, exhibited strong discriminative ability, with an AUC of 0.963 (95% CI: 0.946–0.980) for the training cohort and 0.963 (95% CI: 0.938–0.988) for the validation cohort. Calibration plots demonstrated excellent agreement between the nomogram’s predictions and actual outcomes. Decision curve analysis (DCA) indicated that the model provided clinical utility across all patient scenarios. These findings were consistent in the validation cohort.ConclusionsBoth the mFI-5 and CAR are predictive factors for severe postoperative complications in elderly patients undergoing hip fracture surgery.

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with the high case-fatality rate, lacking effective therapies and vaccines. Inflammation-based indexes have been widely used to predict the prognosis of patients with cancers and some inflammatory diseases. In our study, we aim to explore the predictive value of the inflammation-based indexes in SFTS patients.MethodsWe retrospectively analyzed 82 patients diagnosed with SFTS. The inflammation-based indexes, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and C-reactive protein to albumin ratio (CAR), were compared between the survival and death patients. Receiver operating characteristic (ROC) curves were used to compare the predictive ability of MLR, AISI, and CAR. The survival analysis was based on the Kaplan–Meier (KM) method. Multivariate logistic regression analysis was used to analyze the independent risk factors of poor prognosis in patients with SFTS.ResultsThe CAR is higher in the death group while MLR and AISI were higher in the survival group. The ROC curve analysis indicated CAR exhibited more predictive value than the other indexes and the optimal cut-off value of CAR was equal to or greater than 0.14. KM survival curve showed that higher CAR was significantly correlated to the lower overall survival in SFTS patients. Multivariate logistic regression analysis indicated that CAR was an independent risk factor for poor prognosis in patients with SFTS.ConclusionThe CAR is an independent risk factor for death in patients with SFTS and could predict the poor prognosis of SFTS patients. It could be used as a biomarker to help physicians to monitor and treat patients more aggressively to improve clinical prognosis.

Several laboratory parameters have been used to assess inflammatory process and determine cardiovascular risk. The C-reactive protein to albumin ratio (CAR) is a novel marker of inflammation and its clinical importance has not been clearly elucidated in coronary artery disease (CAD). We compared the diagnostic value of CAR with other inflammatory parameters in detecting significant CAD. Patients (n = 421) with stable angina pectoris who underwent coronary angiography for the suspected CAD were included. Neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio, uric acid, monocyte to high-density cholesterol (HDL-C) ratio, mean platelet volume to lymphocyte ratio (MPVLR), and platelet to mean corpuscular volume (MCV) ratio were measured. Patients with significant CAD had a significantly higher NLR (P = .043), MLR (P = .004), uric acid (P < .001), monocyte to HDL-C ratio (P = .004), and CAR (P < .001) compared to patients without significant CAD. However, MPVLR and platelet to MCV ratio weren't different between 2 groups. The area under the curve (AUC) of CAR was the highest AUC among all inflammatory parameters for predicting significant CAD. Multivariate analysis showed that age (odds ratio [OR]: 1.046, 95% confidence interval [CI], 1.020-1.072, P < .001) and CAR (OR: 1.175, 95% CI, 1.126-1.226, P < .001) were the only independent predictors of significant CAD. In conclusion, CAR had the strongest diagnostic value in detecting significant CAD among the inflammatory parameters evaluated in this study.

SAT0379 C-REACTIVE PROTEIN TO ALBUMIN RATIO IS ASSOCIATED WITH DISEASE ACTIVITY IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS

To investigate the role of inflammatory markers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR), c-reactive protein (CRP) to albumin ratio (CAR), fibrinogen to albumin ratio (FAR), and fibrinogen to CRP ratio (FCR) in predicting the latency period (≤72vs.>72 hours) before preterm birth. In a retrospective study, we assessed 135 patients meeting the specified criteria with signs of preterm labor (<34 weeks). The patients were categorized into two groups: 71 patients giving birth within 72 h (latency ≤ 72 h) and 64 patients giving birth after 72 h (latency> 72 h). We examined the demographic and medical characteristics and perinatal outcomes of all participants. Categorical variables between groups were compared using the Chi-square test. The Student's t-test was utilized for normally distributed continuous variables, and the Mann-Whitney U test was applied for non-normally distributed data. Receiver operating characteristic (ROC) curve analysis was conducted to identify the optimal cut-off levels for inflammatory markers in predicting the latency period before birth. Among the parameters examined, significant differences were observed between the groups only in terms of CAR and FCR. While CAR showed a significantly higher value in the group with latency period ≤72 h (0.537±1.239vs. 0.247±0.325, p=0.022), FCR showed a significantly lower value in the group with latency period ≤72 h (63.58 (2.99-1165) vs. 88.93 (9.35-1165), p=0.013). The identified cut-off value for CAR was 0.190, providing a sensitivity of 57.7% and a specificity of 56.3% (p=0.022). The cut-off value for FCR was 71.67, with a sensitivity of 42.3% and a specificity of 42.2% (p=0.013). The CAR and the FCR, serving as predictive markers for preterm labor, may offer a simple, cost-effective, and easily accessible approach, particularly in resource-limited settings.

Plenty of studies have confirmed the prognostic values of inflammation-based prognostic scores in many malignant tumors. In present study, we aim to explore whether these indexes has same prognostic values in patients with stage T1N0 esophageal squamous cell carcinoma (ESCC). The clinicopathological data of 160 consecutive patients with pathological stage T1N0 ESCC from January 2005 to December 2012 were collected retrospectively. As prognostic factors, the inflammation-based prognostic scores, including C-reactive protein (CRP), Glasgow prognostic score (GPS), prognostic index (PI), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and CRP to albumin ratio (CAR), were evaluated. The best cut-off values were determined by the receiver operating characteristic (ROC) curves. The median follow-up time was 71.8 months. During the follow-up period, 34 (21.3%) patients occurred postoperative recurrence and 30 (18.8%) tumor-related deaths were recorded. The best cut-off values of CRP, NLR, PLR and CAR were 1.090, 1.976, 103.200 and 0.023, respectively. After multivariate analysis, the GPS and CAR were identified as independently prognostic factors for overall survival (OS) (p=0.017 and 0.040, respectively). Of all 160 individuals, there were 86 (53.8%) and 85 (53.1%) patients classified into high GPS group (1-2) and elevated CAR group (>0.023), respectively. In addition, the GPS were positively associated with PI (p<0.000) and the levels of serum CRP (p<0.000), NLR (p=0.004), PLR (p=0.029) and CAR (p<0.000) and the above correlations were also observed between the CAR and other inflammation-based prognostic scores (all p<0.050, except for p=0.054 for PLR levels). The preoperative GPS and CAR were simple, inexpensive, readily available predictor for long-term survival in stage T1N0 ESCC patients who underwent esophagectomy.

This study explored the association between inflammatory biomarkers—C-reactive protein to albumin ratio (CAR), platelet to lymphocyte ratio (PLR), and neutrophil to lymphocyte ratio (NLR)—and the prognosis of patients with cardiogenic cerebral embolism (CCE). We retrospectively analyzed data from 80 CCE patients diagnosed between June 2020 and June 2024, categorizing them into favorable and unfavorable prognosis groups based on outcomes such as death, recurrence, and disability. The CAR, PLR, and NLR values were calculated from routine blood tests, and statistical analyses, including Spearman correlation, multivariate logistic regression, and ROC curve analysis, were performed to examine their prognostic significance. Results showed that the unfavorable prognosis group had significantly higher CAR, PLR, and NLR values compared to the favorable group (P < 0.05). Spearman correlation analysis revealed positive associations between these biomarkers and prognosis (r = 0.319 for CAR, 0.238 for PLR, 0.251 for NLR, all P < 0.05). Multivariate analysis identified CAR and NLR as independent risk factors for unfavorable prognosis (OR = 1.034 for CAR, OR = 3.887 for NLR). ROC analysis determined optimal cutoff values for CAR (>0.74), PLR (>160.00), and NLR (>3.53) to predict unfavorable prognosis with AUCs of 0.796, 0.694, and 0.705, respectively. The combined biomarker test yielded an AUC of 0.899. Kaplan-Meier survival analysis indicated significantly lower survival rates for patients with higher levels of CAR, PLR, and NLR (P < 0.05). In conclusion, elevated CAR, PLR, and NLR are reliable indicators of a poor prognosis in CCE patients.

Background Emergency abdominal surgeries pose significant challenges, especially in the Indian population, due to comorbidities, delayed presentations, and limited resources. Accurately predicting morbidity and mortality is crucial for timely interventions and improved patient care. The neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein-to-albumin ratio (CAR) have shown potential as prognostic markers, balancing inflammation and nutritional status. Aim The study aims to evaluate the predictive efficacy of NLR and CAR with regard to postoperative morbidity and mortality in patients undergoing emergency abdominal surgery, thereby contributing to better risk stratification and management strategies. Patients and methods A prospective observational study was conducted in a tertiary teaching hospitalin northern Karnatakafrom August 2022 to June 2024, involving 102 patients undergoing emergency abdominal surgeries. The sample size (71) was calculated using G*Power software, targeting a 95% power with a 5% significance level. The inclusion criterion was patients aged over 18 years undergoing emergency abdominal surgeries;those who were immunocompromised, on steroid therapy, having malignancies,undergoing radiotherapy, or having chronic liver diseases were excluded from the study. Patients coming into the surgical inpatient department (IPD) with an acute abdomen requiring emergency abdominal surgeries as an emergency were preoperatively assessed using complete blood count (CBC), CRP, and serum albumin tests. NLR and CAR were evaluated preoperatively and at 24 and 48 hours postoperatively. The outcome measures included surgical site infection rates, hospital stay duration, and outcomein the form of recovery or death. SPSS version 20 was used for statistical analyses. Results The study included 102 patients whose mean age was 43.7 ± 18.9 years; 74 of the participants (72.5%) were male. The most common procedures were exploratory laparotomy (64 patients; 62.7%) and appendicectomy (32 patients; 31.4%). A significant increase in CAR levels was observed on postoperative days 1 and 2 compared to baseline (p < 0.05). Preoperative NLR ≥ 8 was significantly associated with higher mortality (65% vs. 50%, p < 0.01). Preoperative albumin > 3.2 g/dL was associated with better outcomes (recovery in54 patients; 65.9%) compared to < 3.2 g/dL (15 patients; 75% mortality). This study showed that NLR and CAR are valuable predictors of postoperative outcomes, with CAR indicating the risk for surgical site infections (SSI) and NLR predicting mortality. Conclusion The preoperative NLR had a significant association with mortality among the patients. Hence the NLR can be a good marker for the worst outcome and CAR during the postoperative period can be considered as a marker to detect the risk of SSI. NLR and CAR are simple, inexpensive tests readily available from routine blood investigations. The utility of NLR and CAR as valuable prognostic markers in the perioperative assessment of patients undergoing emergency abdominal surgery could enhance the prediction of patient outcomes and guide more effective management strategies to improve patient outcomes in high-risk emergency abdominal surgery.

The novel inflammatory markers C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) were associated with the disease activity of many autoimmune diseases. The aim of this study was to evaluate the association of these new inflammatory indexes with relapsing polychondritis disease activity index (RPDAI). The data of relapsing polychondritis (RP) patients hospitalized between 2004 and 2020 at Peking Union Medical College Hospital were collected. One of the exclusive criteria was that RP patients overlapped with other diseases. Another was the RP patients with incomplete data. A total of 170 RP patients and 170 healthy controls (HCs) were included. The association of new inflammatory makers with RPDAI was assessed by Spearman's correlation analysis. Compared to HCs, the CAR, NLR, and PLR were significantly higher in RP patients (both p < 0.001). The CAR, NLR, PLR, erythrocyte sedimentation rate and neutrophil counts in peripheral blood positively correlated with RPDAI. Blood albumin, lymphocyte count, hemoglobin (Hb) negatively correlated with RPDAI. The association of CAR, NLR, and PLR with RPDAI was demonstrated by Spearman's correlation analysis. The novel inflammatory markers CAR, NLR and PLR were associated with RPDAI. Key Points • This is the first research to explore the association of CAR, NLR, and PLR with disease activity in patients with RP • CAR, NLR, and PLR are positively correlated with RPDAI • CAR, NLR, and PLR might be the potential predictors of disease activity in RP.

High CRP-Albumin Ratio Predicts Poor Prognosis in Transplant Ineligible Elderly Patients with Newly Diagnosed Acute Myeloid Leukemia

Background Although the relationship of preoperative C-reactive protein (CRP) and albumin levels to mortality in elderly patients who have undergone surgery due to hip fracture has been previously investigated, the CRP to albumin ratio (CAR) has not been investigated. This study aimed to investigate the relationship between preoperative CAR and mortality. Methods A total of 254 patients (mean age, 78.74 years) were retrospectively analyzed using the following data: age, gender, fracture type, American Society of Anesthesiologists (ASA) score, type of anesthesia, time between fracture and surgery, time between fracture and discharge, length of hospital stay, preexisting comorbidities, preoperative CRP and albumin levels, and mortality. The serum CRP level was divided by the serum albumin level to calculate the preoperative CAR. Multivariate logistic regression was used to evaluate the association between risk factors and 1-year mortality. Results One-year mortality was 22.8% (58 patients). Age >85 years, male gender, ASA score ≥3, presence of ≥3 comorbidities, and CAR ≥2.49 were identified as mortality risk factors in the univariate analysis. The following factors were included in the binary logistic regression analysis to determine the major predictors of 1-year mortality: ASA score ≥3, presence of ≥3 comorbidities, and CAR ≥2.49. Conclusion Detection of CAR above 2.49 is a strong indicator for 1-year mortality in patients operated due to hip fracture in the elderly population. ASA score ≥3 and presence of ≥3 comorbid diseases were also related to mortality.