C-Reactive Protein/Albumin Ratio Correlates With Disease Severity and Predicts Outcome in Patients With Aneurysmal Subarachnoid Hemorrhage

A nomogram model for predicting postoperative prognosis in patients with aneurysmal subarachnoid hemorrhage using preoperative biochemical indices

OBJECTIVE

The nutritional status and inflammatory responses of patients with aneurysmal subarachnoid hemorrhage (aSAH) play a vital prognostic role. We investigated the relationship between preoperative prognostic nutritional index (PNI)、neutrophil/albumin ratio (NAR)、platelet/albumin ratio (PAR) and other factors and the clinical prognosis of patients who underwent clipping for aSAH and its predictive model.

METHODS

The clinical data of 212 patients with aSAH who underwent neurosurgery at Nanyang Central Hospital between 2018 and 2023 were retrospectively analyzed. Based on the Glasgow Outcome Scale (GOS) score at 6 months postoperatively, the patients were categorized into two groups: poor (GOSI-III) and good (GOSIV-V) prognosis groups. Multivariate logistic regression analysis was performed to determine the predictive value of preoperative PNI、NAR、PAR、hyperlipidemia and Glasgow Coma Scale (GCS) for prognosis. Furthermore, nomograms and prognostic prediction models were constructed. Receiver operating characteristic curves and area under the curve (AUC) were utilized to determine the predictive values.

RESULTS

Multivariate logistic regression analysis revealed that PNI (OR = 1.250, 95%CI 1.060 ~ 1.475, P = 0.008), NAR (OR = 0.000, 95%CI 0.000 ~ 0.004, P = 0.000), PAR(OR = 0.515, 95%CI 0.283 ~ 0.937, P = 0.030), hyperlipidemia (OR = 4.627, 95%CI 1.166 ~ 18.367, P = 0.029), and GCS(OR = 1.446, 95%CI 1.041 ~ 2.008, P = 0.028) are independent risk factors for poor postoperative prognosis. The total score of the nomogram was 200, and the AUC value was 0.972.

CONCLUSIONS

PNI and NAR can reflect the nutritional status and inflammatory responses of patients.They are significantly associated with the postoperative prognosis of patients with aSAH. Comprehensively analyzing PNI and NAR combined with other clinical indicators can more effectively guide treatment and help predict prognosis.

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.

Review of the Predictive Value of Biomarkers in Sepsis Mortality

Sepsis is a leading cause of mortality among severely ill individuals, primarily due to its potential to induce fatal organ dysfunction. For clinicians, it is vital to have appropriate indicators, including the physiological status and personal experiences of patients with sepsis, to monitor the condition and assess prognosis. This approach aids in preventing the worsening of the illness and reduces mortality. Recent guidelines for sepsis focus on improving patient outcomes through early detection and timely treatment. Nonetheless, identifying severe cases and predicting their prognoses remain challenging. In recent years, there has been considerable interest in utilising the C-reactive protein (CRP)/albumin ratio (CAR) to evaluate the condition and forecast the prognosis of patients with sepsis. This research concentrates on the significance of CAR in the pathological process of sepsis, its association with prognosis, and the latest developments in employing procalcitonin, lactic acid, CRP, and other potential biomarkers. The CAR, with its predictive value for sepsis prognosis and mortality, is increasingly used as a clinical biochemical marker in diagnosing and monitoring patients with sepsis.

Low serum albumin as a risk factor for delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage: eICU collaborative research database analysis

BACKGROUND

Delayed cerebral ischemia (DCI) represents a devastating complication of aneurysmal subarachnoid hemorrhage (aSAH) and is a significant predictor of morbidity and mortality. Recent studies have implicated inflammatory processes in the pathogenesis of DCI.

METHODS

aSAH patient data were retrospectively obtained from the eICU Collaborative Research Database (eICU CRD). Multivariable logistic regression models and receiver operating characteristic (ROC) curve analyses were employed to assess the association between low serum albumin (<3.4 g/dL) and clinical endpoints: DCI and in-hospital mortality.

RESULTS

Among 276 aSAH patients included in the analysis, 35.5% (N.=98) presented with low serum albumin levels and demonstrated a higher incidence of DCI (18.4% vs. 8.4%, OR=2.45, 95% CI=1.17, 5.10; P=0.017) and in-hospital mortality (27.6% vs. 16.3%, OR=1.95, 95% CI=1.08, 3.54; P=0.027) compared to patients with normal admission albumin values. In a multivariable model controlling for age and World Federation of Neurosurgical Societies grade, low serum albumin remained significantly associated with DCI (OR=2.52, 95% CI=1.18, 5.36; P=0.017), but not with in-hospital mortality. A combined model for prediction of DCI, encompassing known risk factors in addition to low serum albumin, achieved an area under the curve of 0.65 (sensitivity = 0.55, specificity = 0.75).

CONCLUSIONS

Serum albumin, a routine and inexpensive laboratory measurement, may potentially aid in the identification of patients with aSAH at risk for the development of DCI.

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

Background

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.

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.

Results

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).

Conclusion

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.

Procalcitonin/Albumin Ratio Predicts the Outcome After Severe Traumatic Brain Injury: A Propensity Score-Matched Analysis

BACKGROUND

The procalcitonin/albumin ratio (PAR), a novel inflammation-based index, has been reported to predict the prognosis following cardiopulmonary bypass surgery and bacterial infection. However, whether PAR can predict the outcome of patients with severe traumatic brain injury (STBI) has not been fully elucidated. This study aimed to investigate the relationship between serum PAR levels and prognosis at 6 months after STBI.

METHODS

We retrospectively enrolled 129 patients diagnosed with STBI and collected relevant clinical and laboratory data. Logistic regression analysis was used to estimate the association of PAR with the prognosis of STBI. The receiver operating characteristics curve was performed to examine the predictive use of PAR for prognosis. Propensity score matching (PSM) analysis was also performed to improve the reliability of the results. The primary outcome measures were expressed as a score on the modified Rankin Scale at 6 months.

RESULTS

The unfavorable prognosis group had advanced age, lower Glasgow Coma Scale score, higher rate of cerebral hernia and intracranial infection, higher neutrophil/lymphocyte ratio (NLR) and C-reactive protein/albumin ratio (CAR), elevated PAR, and higher rate of pneumonia. Multivariate analysis showed that PAR (before PSM: odds ratio 3.473, 95% confidence interval 2.983-4.043, P < 0.001; after PSM: odds ratio 5.358, 95% confidence interval 3.689-6.491, P < 0.001) was independently associated with unfavorable outcome. The area under the curve of the PAR for predicting an unfavorable outcome was higher than that of the CAR and NLR.

CONCLUSIONS

The PAR might be a novel independent risk factor of the outcome after STBI. Moreover, PAR was a better biomarker in predicting the outcome of patients with STBI than CAR and NLR.

Combination of Albumin/Fibrinogen Ratio and Admission Hunt-Hess Scale Score as an Independent Predictor of Clinical Outcome in Aneurysmal Subarachnoid Hemorrhage

BACKGROUND

The albumin/fibrinogen ratio (AFR) is an independent predictor of clinical outcomes of some diseases; however, the prognostic value of AFR and the admission Hunt-Hess (HH) score is still unclear for patients with an aneurysmal subarachnoid hemorrhage (aSAH). This study aimed to assess the relationship between the AFR-HH score and 6-month outcomes of aSAH patients.

METHODS

The clinical characteristics of aSAH patients admitted to our department between December 2017 and December 2021 were retrospectively analyzed. The candidate risk factors were screened using univariate regression analysis, and the independence of the resultant risk factors was evaluated by binary logistic regression analysis. The predictive value of the combined AFR and HH score for unfavorable outcomes was assessed using receiver operating characteristic curve analysis.

RESULTS

A total of 112 aSAH patients were included. Binary logistic regression analysis showed the perioperative period AFR, Glasgow coma scale score, and admission HH score were independent risk factors for unfavorable outcomes for aSAH patients. The receiver operating characteristic curve analysis showed the predictive capacity of AFR plus the admission HH score outperformed the AFR, Glasgow coma scale score, and admission HH scale alone and the combination of the AFR and Glasgow coma scale score.

CONCLUSIONS

A low AFR during the perioperative period is associated with unfavorable outcomes for aSAH patients at 6 months. The combination of the AFR and admission HH scale score provides superior predictive capacity to either the AFR or HH scale score alone.

Systemic Inflammation after Aneurysmal Subarachnoid Hemorrhage

Aneurysmal subarachnoid hemorrhage (aSAH) is one of the most severe neurological disorders, with a high mortality rate and severe disabling functional sequelae. Systemic inflammation following hemorrhagic stroke may play an important role in mediating intracranial and extracranial tissue damage. Previous studies showed that various systemic inflammatory biomarkers might be useful in predicting clinical outcomes. Anti-inflammatory treatment might be a promising therapeutic approach for improving the prognosis of patients with aSAH. This review summarizes the complicated interactions between the nervous system and the immune system.

Can C-reactive protein/albumin ratio be a prognostic factor in acute stroke patients undergoing mechanical thrombectomy?

INTRODUCTION

C-reactive protein (CRP) and albumin are markers synthesized by the liver and may reflect inflammatory responses. CRP/Albumin ratio (CAR) serves better to reflect the inflammatory state and therefore the prognosis. Worse prognosis is reported in previous studies when CAR rate on admission is high in patients with stroke, aneurysmal subarachnoid hemorrhage, malignancy or patients followed in intensive care units. We aimed to investigate the relation of CAR with prognosis in mechanical thrombectomy performed acute stroke patients.

MATERIALS AND METHODS

Stroke patients admitted to five different stroke centers between January 2021 and August 2022 undergoing mechanical thrombectomy were included and retrospectively analyzed. The CAR ratio was calculated as the ratio of CRP to albumin level in the venous blood samples. Primary outcome was the relation between CAR and functional outcome at 90 days determined by modified Rankin Scale (mRS).

RESULTS

This study included 558 patients with a mean age of 66,5 ± 12.5 years (age range:18-89 years) best cutoff value of the CAR was 3.36, with 74.2 % sensitivity and 60.7 % specificity (Area under the curve: 0.774; 95 %CI: 0.693-0.794). There was no significant correlation between CAR rate and age, CAR rate and NIHSS on admission, and also between CAR rate and symptom recanalization (p > 0.05). CAR ratio in the mRS 3-6 group was statistically significantly higher (p < 0.001). In the multivariate analyses, CAR showed an association with 90-day mortality (odds ratio, 1.049; 95 % CI, 1.032-1.066) CONCLUSION: In acute ischemic stroke patients treated with mechanical thrombectomy, CAR may be one of the factors affecting poor clinical outcome and/or mortality in patients undergoing mechanical thrombectomy. Upcoming similar studies in this patient group may better clarify the prognostic role of CAR.

Preoperative prognostic nutrition index can independently predict the 6-month prognosis of elderly patients undergoing neurosurgical clipping for aneurysmal subarachnoid hemorrhage

The number of elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) is increasing annually. The prognostic nutritional index (PNI) is used as a novel and valuable prognostic marker for various neoplastic diseases and other critical illnesses. This study aimed to identify the short-term prognostic value of preoperative PNI in elderly patients who underwent neurosurgical clipping for aSAH. This retrospective study included elderly patients with aSAH who underwent neurosurgical clipping from January 2018 to December 2020. Clinical variables and 6-month outcomes were collected and compared. Epidemiological data and effect factors of prognosis were evaluated. Multivariate logistic regression and receiver operating characteristics (ROC) curve analyses were used to evaluate the predictive value of preoperative PNI. Multiple logistic regression was performed to establish a nomogram. A total of 124 elderly patients were enrolled. Multivariate logistic regression analysis showed that preoperative PNI (odds ratio (OR), 0.779; 95% confidence interval (CI), 0.689-0.881; P < 0.001), Hunt-Hess grade (OR, 3.291; 95%CI, 1.816-5.966; P < 0.001), and hydrocephalus (OR, 9.423; 95%CI, 2.696-32.935; P < 0.001) were significant predictors. The area under the ROC curve of PNI was 0.829 (95% CI, 0.755-0.903; P < 0.001) with a sensitivity and specificity of 68.4% and 83.3%, respectively, and the cutoff value was 46.36. Patients with preoperative PNI of < 46.36 had a significantly unfavorable 6-months prognosis (F = 40.768, P < 0.001). Preoperative PNI is independently correlated with the 6-month prognosis in elderly patients who undergo neurosurgical clipping for aSAH.

Predictive Value of Leucine-Rich Alpha-2 Glycoprotein 1 in Cerebrospinal Fluid for the Prognosis of Aneurysmal Subarachnoid Hemorrhage: A Prospective Study

OBJECTIVE

To determine whether leucine-rich alpha-2 glycoprotein 1 (LRG1) is a potential prognostic and severity biomarker in patients with aneurysmal subarachnoid hemorrhage (aSAH).

METHODS

This observational and prospective study included 44 patients with aSAH from Nanjing Drum Tower Hospital from June to December 2020. Concentrations of LRG1 in the cerebrospinal fluid (CSF) were determined by enzyme-linked immunosorbent assay within 24 hours after aSAH. We further determined the relationship of CSF LRG1 levels with disease severity and prognosis 3 months after aSAH.

RESULTS

Higher CSF LRG1 levels were associated with a higher Hunt-Hess grade (P < 0.05). Using univariate analysis, poor outcomes at 3 months were associated with higher World Federation of Neurological Surgeons scale grade, higher Hunt-Hess grade, higher CSF LRG1 levels, and higher Fisher grade. Logistic regression analysis revealed a significant impact of LRG1 on poor outcomes as well as after adjustment for confounding factors.

CONCLUSIONS

These findings suggest an increase in CSF LRG1 levels in patients with aSAH, which may serve as a potential biomarker of unfavorable prognosis and disease severity.

C-reactive Protein/Albumin Ratio as a Prognostic Indicator in Posttraumatic Shock and Outcome of Multiple Trauma Patients

OBJECTIVE

C-reactive protein (CRP)/albumin ratio (CAR) is a new inflammation-based index for predicting the prognosis of various diseases. The CAR determined on admission may help to predict the prognostic value of multiple trauma patients.

METHODS

A total of 264 adult patients with severe multiple trauma were included for the present retrospective study, together with the collection of relevant clinical and laboratory data. CAR, CRP, albumin, shock index and ISS were incorporated into the prognostic model, and the receiver operating characteristic (ROC) curve was drawn. Then, the shock index for patients with different levels of CAR was analyzed. Finally, univariate and multivariate logistic regression analyses were performed to identify the independent risk factors for the 28-day mortality of multiple trauma patients.

RESULTS

A total of 36 patients had poor survival outcomes, and the mortality rate reached 13.6%. Furthermore, after analyzing the shock index for patients with different levels of CAR, it was revealed that the shock index was significantly higher when CAR was ≥4, when compared to CAR <2 and 2≤ CAR <4, in multiple trauma patients. The multivariate logistic analysis helped to identify the independent association between the variables CAR (P=0.029) and shock index (P=0.019), and the 28-day mortality of multiple trauma patients.

CONCLUSION

CAR is higher in patients with severe multiple trauma. Furthermore, CAR serves as a risk factor for independently predicting the 28-day mortality of multiple trauma patients. The shock index was significantly higher when CAR was ≥4 in multiple trauma patients.

Elevated C-reactive protein-to-albumin ratio with fever is a predictor of poor functional outcome in patients with mild traumatic brain injury

Introduction

The C-reactive protein -to-albumin ratio (CAR), a novel inflammation-based prognostic score, is useful in predicting clinical outcomes, including those in central nervous system diseases. However, no report has identified the relationship between CAR and long-term clinical outcomes in patients with mild traumatic brain injury (mTBI). We aimed to evaluate the relationship between CAR and long-term functional outcomes in patients with mTBI and analyze whether CAR is associated with the presence of fever.

Methods

This was a retrospective observational study includes 387 adult patients with mTBI who were treated at a level-1 trauma center between 2017 and 2021. The main exposure variable was an elevated CAR, and the main outcomes were degrees of disability and quality of life measured using the modified Rankin Scale (mRS). A multivariable logistic regression analysis was performed to estimate the effect size of CAR on study outcomes. An interaction analysis was performed between CAR and fever on study outcomes.

Results

Elevated CAR had no significant association with poor functional outcomes (aOR [95% CI]: 1.35 [0.39-4.69]) in patients with mTBI. In the interaction analysis, elevated CAR was not associated with increased poor functional outcomes in the absence of fever (1.08 [0.55-2.13]), but a significant increase in poor functional outcomes was observed when elevated CAR was accompanied by fever (1.32 [1.14-2.56)).

Conclusions

Elevated CAR with fever increased the risk of poor functional recovery at 6 months after hospital discharge in patients with mTBI. Our study findings suggest the need for strategies for the prevention of long-term poor functional recovery in the presence of high CAR and fever in patients with mTBI.

The D-Dimer/Albumin Ratio Is a Prognostic Marker for Aneurysmal Subarachnoid Hemorrhage

Background: Aneurysmal subarachnoid hemorrhage (aSAH) is a severe neurological event with limited treatment options, and little is known about its pathophysiology. There are few objective tools for predicting outcomes of aSAH patients and further aiding in directing clinical therapeutic programs. This study aimed to determine whether an elevated serum D-dimer/albumin ratio (DAR) reflects disease severity and predicts aSAH outcomes. Methods: We included 178 patients with aSAH. Data included demographics; clinical severity of aSAH (World Federation of Neurological Societies (WFNS) grade and Hunt-Hess grade); levels of D-dimer, albumin, and c-reactive protein (CRP); leukocyte counts on admission; and three-month outcomes. The outcomes were dichotomized into good and poor. The predictive ability of DAR for outcomes was determined using receiver operating characteristic (ROC) curve analysis. Results: Serum DAR showed a positive correlation with disease severity. Univariate analysis revealed that DAR, WFNS grade, Hunt-Hess grade, delayed cerebral infarction (DCI), age, neutrophil-to-lymphocyte ratio (NLR), and CRP/albumin ratio (CAR) were associated with unfavorable outcomes. Multivariate regression analysis further revealed that elevated DAR predicted poor outcomes after adjusting for WFNS grade, Hunt-Hess grade, DCI, age, NLR, and CRP/albumin ratio. Receiver operating characteristic curve analysis revealed that DAR predicted outcomes at a level comparable with NLR and CAR and had superior predictivity than D-dimer alone. Conclusion: DAR is a promising objective tool for aSAH outcome prediction. A high content DAR was associated with disease severity and unfavorable short-term outcomes.

The prognostic value of hyperglycemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis

Recent studies have demonstrated that hyperglycemia may result in a poor prognosis following aneurysmal subarachnoid hemorrhage (aSAH). However, the association between hyperglycemia and the clinical outcome of aSAH has not been clearly established thus far. Therefore, we performed a systematic review and meta-analysis to investigate the association between hyperglycemia and the development of aSAH. We completed a literature search in four databases (PubMed, EMBASE, Cochrane Library, and Web of Science) up to November 1, 2021, including all eligible studies investigating the prognostic value of hyperglycemia in patients with aSAH. We performed a quality assessment of included studies using the Newcastle-Ottawa Quality Assessment Scale. The pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to assess the association of hyperglycemia in aneurysmal subarachnoid hemorrhage. A total of 35 studies with 11,519 patients were finally included in the meta-analysis. Nineteen studies reported the association between hyperglycemia and poor outcome, 12 studies reported the association between hyperglycemia and all-cause mortality, 7 studies reported the association between hyperglycemia and cerebral vasospasm, and 9 studies reported the association between hyperglycemia and cerebral infarction. The pooled data of these studies suggested that hyperglycemia was significantly associated with poor functional outcomes (odds ratio [OR], 1.29; 95% confidence interval [CI], 1.17-1.42; P < 0.00001; I² = 83%), all-cause mortality (OR, 1.02; 95% CI, 1.01-1.04; P = 0.0006; I² = 89%), cerebral vasospasm (OR, 1.02; 95% CI, 1.01-1.02; P = 0.0002; I² = 35%), and cerebral infarction (OR, 1.16; 95% CI, 1.09-1.23; P < 0.00001; I² = 10%) in aSAH patients. These findings suggested that assessing for hyperglycemia at admission may help clinicians to identify critically ill patients and complete patient stratification early, which may achieve better management and improve the prognosis of patients with aSAH.

Prognostic Value of C-Reactive Protein and Albumin in Neurocritically Ill Patients with Acute Stroke

We evaluated the prognostic value of C-reactive protein (CRP), albumin, CRP clearance (CRPc) and CRP/albumin ratio (CAR) in neurocritically ill patients with acute stroke. This is a retrospective, observational study. We included acute stroke patients who were hospitalized in the neurosurgical ICU from January 2013 to September 2019. The primary outcome was in-hospital mortality. A total of 307 patients were enrolled in the study. Among them, 267 (87.0%) survived until discharge from the hospital. CRP and CAR were significantly higher in non-survivors than in survivors (both p < 0.001). Serum albumin levels were significantly lower in the non-survivors than in the survivors (p < 0.001). In receiver operating characteristic curve analysis for prediction of in-hospital mortality, the area under the curve of CRP (C-statistic: 0.820) and CAR (C-statistic: 0.824) were greater than that of CRPc (C-statistic: 0.650) and albumin (C-statistic: 0.734) (all p < 0.005). However, there was no significant difference in the predictive performance between CRP and CAR (p = 0.287). In this study, CRP and CAR were more important than CRPc and albumin in predicting mortality of neurocritically ill patients with stroke. Early CRP level and CAR determination may help to predict the in-hospital mortality of these patients.

C-Reactive Protein-to-Albumin Ratio and Clinical Outcomes in COVID-19 Patients: A Systematic Review and Meta-Analysis

C-reactive protein-to-albumin ratio (CAR) is an independent risk factor in cardiovascular, cerebrovascular, and infectious diseases. Through this study, we investigated the CAR values with respect to the severity and mortality of COVID-19 patients. We performed a systematic review and meta-analysis to retrieve studies that evaluated CAR values upon hospital admission in relation to the severity or mortality of COVID-19 patients. We adopted a random-effect model to calculate the pooled mean difference (MD) and their 95% confidence intervals (CI). Quality assessment was appraised using a Newcastle−Ottawa scale and publication bias was assessed using the Begg-test and funnel plot. We equally performed a subgroup analysis using study location and a sensitivity analysis only with studies with low risk of bias. We analyzed 32 studies (n = 12445). Severe COVID-19 patients had higher on-admission CAR values than non-severe COVID-19 patients (MD: 1.69; 95% CI: 1.35−2.03; p < 0.001; I2 = 89%). Non-survivor patients with COVID-19 had higher CAR values than survivor patients (MD: 2.59; 95% CI: 1.95−3.23; p < 0.001; I2 = 92%). In sensitivity analysis, the relationship remained with a decreasing of heterogeneity for severity (MD: 1.22; 95% CI: 1.03−1.40; p < 0.001; I2 = 13%) and for mortality (MD: 2.99; 95% CI: 2.47−3.51; p < 0.001; I2 = 0%). High CAR values were found in COVID-19 patients who developed severe disease or died.

XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage

BACKGROUND

Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor outcome is necessary for clinicians to make suitable therapeutical strategy. This study is conducted to develop prognostic model using XGBoost (extreme gradient boosting) algorithm in aSAH.

METHODS

A total of 351 aSAH patients admitted to West China hospital were identified. Patients were divided into training set and test set with ratio of 7:3 to testify the predictive value of XGBoost based prognostic model. Additionally, logistic regression model was also constructed and compared with XGBoost based model. Area under the receiver operating characteristic curve (AUC), sensitivity and specificity were calculated to evaluate the value of XGBoost and logistic regression.

RESULTS

There were 74 (21.1%) non-survivors and 148 (42.1%) patients with unfavorable functional outcome. Non-survivors had older age (p=0.025), lower Glasgow coma scale (GCS) (p<0.001), higher World Federation of Neurosurgical Societies WFNS score (p<0.001), mFisher score (p<0.001). The incidence of intraventricular hemorrhage (IVH) (p=0.025) and delayed cerebral ischemia (DCI) (p<0.001) was higher in non-survivors than survivors. The AUC of XGBoost model for predicting mortality and unfavorable functional outcome were 0.950 and 0.958, which were higher than 0.767 and 0.829 of logistic regression model.

CONCLUSION

XGBoost based model is more precise than logistic regression model in predicting outcome of aSAH patients. Using XGBoost prognostic model is helpful for clinicians to identify high-risk aSAH patients and therefore strengthen medical care.

Social integration after moving to a new city predicts lower systolic blood pressure

Residential mobility is linked to higher incidence of cardiovascular disease (CVD) and mortality. A mechanism by which residential relocation may impact health is through the disruption of social networks. To examine whether moving to a new city is associated with increased CVD risk and whether the extent to which movers rebuild their social network after relocating predicts improved CVD risk and psychosocial well-being, recent movers (n = 26), and age- and sex-matched nonmovers (n = 20) were followed over 3 months. Blood pressure, C-reactive protein/albumin ratio (CRP/ALB), social network size, and psychosocial well-being were measured at intake (within 6 weeks of residential relocation for movers) and 3 months later. Multiple regression indicated higher systolic blood pressure (SBP) for movers (M = 107.42, SD = 11.39), compared with nonmovers (M = 102.37, SD = 10.03) at intake, though this trend was not statistically significant. As predicted, increases in movers' social network size over 3 months predicted decreases in SBP, even after controlling for age, sex, and waist-to-hip ratio, b = -2.04 mmHg, 95% CI [-3.35, -.73]. Associations between increases in movers' social ties and decreases in depressive symptoms and stress were in the predicted direction but did not meet the traditional cutoff for statistical significance. Residential relocation and movers' social network size were not associated with CRP/ALB in this healthy sample. This study provides preliminary evidence for increased SBP among recent movers; furthermore, it suggests that this elevation in CVD risk may decrease as individuals successfully rebuild their social network.

Serum biomarkers and cerebral autoregulation as early warnings of delayed cerebral ischemia risk in patients after aneurysmal subarachnoid haemorrhage

BACKGROUND

Identifying patients at risk of delayed cerebral ischemia (DCI) after aneurysmal subarachnoid haemorrhage (aSAH) remains challenging. This study aimed to evaluate the concentration of serum biomarkers along with cerebral autoregulation impairment on DCI.

METHODS

55 patients suffering from aSAH were enrolled in the study. Serum S100protein B (S100B) was tested both on the day of admission and over three consecutive days following the occurrence of aSAH. Cerebral autoregulation was assessed using a tissue oxygenation index (TOxa) based on near-infrared spectroscopy.

RESULTS

Changes in serum S100B levels interacted with DCI status (presence vs. absence): F = 3.84, p = 0.016. Patients with DCI had higher S100B concentration level on day 3 than those without DCI (3.54 ± 0.50 ng/ml vs. 0.58 ± 0.43 ng/ml, p = 0.001). S100B concentration on day 3 following aSAH predicted DCI (AUC = 0.77, p = 0.006). Raised level of serum S100B on day 3 was related with higher TOxa, thus with impaired cerebral autoregulation (r_S = 0.52,p = 0.031). Multivariate logistic regression analysis showed thatimpaired cerebral autoregulation andelevatedS100B concentration on day 3 increasethe likelihood of DCI.

CONCLUSIONS

Tracking changes in the serum biomarkers concentration along with monitoring of cerebral autoregulation, may play a role in early detection of patients at risk of DCI after aSAH. These results need to be validated in larger prospective cohorts.

The role of immune inflammation in aneurysmal subarachnoid hemorrhage

Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating disease, which mainly caused by the rupture of an intracranial aneurysm. Clinical trials have demonstrated that cerebral vasospasm (CVS) is not the sole contributor to delayed cerebral ischemia (DCI) and poor outcomes in patients with aSAH. Currently, accumulating evidence suggests that early brain injury (EBI), which occurs within 72 h after the onset of aSAH, lays the foundation for subsequent pathophysiological changes and poor outcomes of patients. The pathological mechanisms of EBI mainly include increased intracranial pressure, oxidative stress, neuroinflammation, blood-brain barrier (BBB) disruption, cerebral edema and cell death. Among them, the brain immune inflammatory responses involve a variety of immune cells and active substances, which play an important role in EBI after aSAH and may be related to DCI and long-term outcomes. Thus, attention should be paid to strategies targeting cerebral immune inflammatory responses. In this review, we discuss the role of immune inflammatory responses in the occurrence and development of aSAH, as well as some inflammatory biomarkers related to CVS, DCI, and aSAH outcomes. In addition, we also summarize the potential therapeutic drugs that target cerebral immune inflammatory responses for patients with aSAH in current research.

Clinical value of C-reactive protein/albumin ratio in Guillain-Barré syndrome

BACKGROUND

Respiratory failure in patients with Guillain-Barré syndrome (GBS) can lead to serious complications and dysfunctions, emphasizing the importance of early detection. The C-reactive protein-to-albumin ratio (CAR) is emerging as a novel inflammatory marker for predicting neurological outcome. We aimed to identify the association of CAR with respiratory failure and short-term outcome in GBS patients.

METHODS

A total of 200 patients diagnosed with GBS were retrospectively analyzed. Data were collected from an electronic database. The associations of C-reactive protein (CRP), albumin, and CAR at admission with outcomes were evaluated by logistic regression analysis. Using receiver operating characteristic curves, we calculated the cutoff value for the CAR and compared its discriminatory power with that of C-reactive protein alone.

RESULTS

Fifty-two (26%) patients showed poor short-term outcome, and 50 (25%) developed respiratory failure. CAR > 0.21 was an independent predictor of respiratory failure, and CAR > 0.19 was an independent predictor of poor short-term outcome. CAR showed a better predictive value than CRP alone. In addition, the c-index of the predictive nomogram for respiratory failure was higher when it included CAR (0.962) than when it did not (0.958). A similar result was observed for the predictive nomogram for poor short-term outcome (0.953 vs 0.947).

CONCLUSION

CAR > 0.21, a novel inflammatory biomarker, is independently associated with the occurrence of respiratory failure in GBS patients, while CAR > 0.19 is independently associated with poor short-term outcome. CAR may help identify GBS patients at high risk of poor prognosis.

Prognostic Value of C-Reactive Protein to Albumin Ratio in Gastric Cancer: A Meta-Analysis

OBJECTIVE

C-reactive protein to albumin ratio (CRP/Alb) is investigated as a prognostic marker in gastric cancer in previous studies, with presence of inconsistent data. Therefore, this study aimed to explore the prognostic role of CRP/Alb in gastric cancer through meta-analysis.

METHODS

This meta-analysis systemically retrieved PubMed, Embase, Web of Science, the Chinese National Knowledge Infrastructure (CNKI), and Wanfang up to July 4, 2020. Pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were conducted to evaluate the association between CRP/Alb and survival outcomes.

RESULTS

A total of nine studies with 3346 patients were included in the present meta-analysis. The pooled HR and 95%CI were: HR = 1.89, 95%CI = 1.64-2.19, p < 0.001 for overall survival (OS) and HR = 2.15, 95%CI = 1.72-2.70, p < 0.001 for disease-free survival (DFS). Subgroup analysis demonstrate that an elevated CRP/Alb remain a significant prognostic factor for poor OS and DFS irrespective of sample size, nationality of patients, or cutoff value resource (p < 0.05 in all subgroups).

CONCLUSIONS

The present meta-analysis suggests that high CRP/Alb is predictive of poor OS and DFS in gastric cancer. CRP/Alb is therefore a potential prognostic factor in the management of patients with gastric cancer.

Admission C-Reactive Protein-to-Albumin Ratio Predicts the 180-Day Mortality of AIDS-Related Pneumocystis Pneumonia

Assessment tools are necessary for the adequate stratification of patients with AIDS-related pneumocystis pneumonia (PCP). The aim of this study was to evaluate the ability of severity assessment scores and inflammation- and nutrition-based parameters for predicting the 180-day mortality of AIDS-related PCP. This was a retrospective cohort study of patients with AIDS-related PCP admitted at the Beijing Di-Tan Hospital. The CURB-65 score, Pneumonia Severity Index (PSI) score, Acute Physiology And Chronic Health Evaluation II (APACHE II) score, C-reactive protein-to-albumin ratio (CAR), procalcitonin, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and platelet-to-lymphocyte ratio during the first 24 h of intensive care unit admission were analyzed. The prognostic values of the severity assessment scores and biomarkers for 180-day mortality were evaluated using receiver operating characteristic (ROC) curves and integrated discrimination improvement (IDI) indexes. A total of 123 patients with AIDS-related PCP were included. Fifty-five patients were dead, and 68 were still alive at 180 days after admission. CAR, CURB-65, PSI, and APACHE II were independent predictors of 180-day mortality. The optimal cutoff value of CAR was 2.0 mg/g [area under the ROC curve = 0.844, 95% credential interval (CI) = 0.776-0.913], and CAR >2.0 mg/g increased the prognostic value of all three severity assessment scores, with an IDI index of 5.1% for the CURB-65 score, 8.1% for the PSI score, and 4.1% for the APACHE II score (all p < .05). Combining CAR >2.0 mg/g enhanced the capability of CURB-65, APACHE II, and PSI in predicting the 180-day mortality of patients with AIDS-related PCP.

CRP Albumin ratio is positively associated with poor outcome in patients with traumatic brain injury

OBJECTIVES

The C-reactive protein/albumin ratio (CAR), a novel inflammation-based index, has been proved useful in predicting outcome of various diseases. We designed this study to explore the prognostic value of CAR in patients with traumatic brain injury (TBI).

PATIENTS AND METHODS

We retrospectively included 151 patients diagnosed with TBI and collected related clinical and laboratory data. Univariate and multivariate logistic regression were conducted to find independent risk factors of mortality. Then, we incorporated CAR into prognostic model and drew receiver operating characteristic (ROC) curve of models. Finally, we compared the predictive value of different models by evaluating the area under the receiver operating characteristic curves (AUC).

RESULTS

In this study, a total of 54 patients had poor survival outcome with mortality rate of 35.8 %. Results of multivariate analysis showed that GCS score in admission (OR 0.700, 95 %Cl 0.570-0.860, p=0.001), acute kidney injury (AKI) (OR 3.952, 95Cl 1.631-9.577, p=0.002) and CAR (OR 1.202, 95Cl 1.039-1.390, p=0.013) were independently associated with in-hospital mortality. The AUC value of predictive model composed of the above three factors was higher than GCS or CAR alone.

CONCLUSION

CAR is an independent risk factor of mortality in patients with TBI. Incorporating CAR into predictive model could increase the value in predicting outcome of TBI patients.