Albumin-to-alkaline Phosphatase Ratio Research Articles

Albumin-To-Alkaline Phosphatase Ratio as a New Early Predictive Marker of Axillary Response in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy: A Pilot Study

Background and Objectives: The Albumin-to-Alkaline Phosphatase ratio (AAPR) is an easily applicable and cost-effective marker investigated as an outcome predictor in solid cancers. Preliminary evidence in breast cancer suggests that a low AAPR correlates with a poor response to neoadjuvant chemotherapy (NAC) in primary tumors. However, data regarding the axillary response are lacking. This study aims to evaluate whether the AAPR can predict the axillary response in initially nodal-positive (cN+) breast cancer patients undergoing NAC. Materials and Methods: Clinical and biochemical variables of cN+ breast cancer patients undergoing NAC were collected. Pre-NAC albumin and alkaline phosphatase serum values were utilized in the AAPR calculation. Fisher’s exact test was performed to identify differences between the two groups of patients (high and low AAPR according to the cut-off reported in the literature). The primary outcome was the nodal pathologic complete response (pCR) rate in the two groups of patients. Results: Nodal pCR was achieved in 20/45 (44.4%) patients. A total of 36/45 (80%) patients had an AAPR > 0.583. Among patient and tumor characteristics, the only statistically significant difference between the two groups was the axillary pCR between the low and high AAPR groups (p-value = 0.03, OR = 0.129, 95% CI = 0.00–0.835). Conclusions: This pilot study suggests that the pre-treatment AAPR might be an early predictor of axillary response in cN+ breast cancer patients undergoing NAC. This result justifies further investigation in larger prospective trials to validate this finding.

Prognosis of hepatocellular carcinoma using the albumin to alkaline phosphatase ratio, literature review, and meta-analysis

Background: Data about the impact of albumin-to-alkaline phosphatase ratio (AAPR) on prognosis in hepatocellular cancer (HCC) patients are inconclusive and conflicting. Methods: The authors systematically searched literatures from seven databases (PubMed, Medline, Web of Science, Cochrane Library, Embase, Google Scholar, and CINAHL), updated to September 2023. Hazard ratios (HRs) and 95% CIs were pooled and synthesized using Comprehensive Meta-Analysis version 3 in order to assess the overall impact of AAPR on patient’s prognosis. Results: In total, 8 studies involving 13 cohorts with 3774 cases were included. Pooled results from both univariate and multivariate analyses revealed that higher AAPR was an independent prognostic factor for overall survival (HR=0.429, 95% CI: 0.361–0.509, P=0.001; HR=0.476, 95% CI: 0.421–0.538, P=0.001; respectively). Similarly, pooled multivariate results showed that higher AAPR was associated with better disease-free survival (HR=0.558, 95% CI: 0.452–0.688, P=0.001). Moreover, pooled results from both univariate and multivariate analyses revealed that higher AAPR was an independent prognostic factor for recurrence-free survival (HR=0.540, 95% CI: 0.420–0.694, P=0.001; HR=0.647, 95% CI: 0.494–0.848, P=0.002; respectively). Subgroups analysis showed that elevated AAPR still significantly correlated with better overall survival across the confounding factors. Moreover, sensitivity analysis suggested the robustness of these findings and no publication bias was detected. Conclusions: In summary, higher AAPR could be considered as a reliable prognostic factor in patients with HCC, which could be used as a routine inspection of HCC patients to individualized prognosis prediction and clinical decision making.

The predictive value of albumin to alkaline phosphatase ratio for vertebral refractures in postmenopausal women.

To investigate the clinical value of serum albumin to alkaline phosphatase ratio (AAPR) in predicting the risk of osteoporotic vertebral refractures group (OVRFs) after percutaneous vertebral augmentation (PVA) in postmenopausal women. This is a retrospective case-control study including a series of postmenopausal women patients with osteoporotic vertebral fracture (OVF) and underwent PVA. Patients were divided into OVRFs and non-OVRFs. COX model was used to evaluate the correlation between preoperative AAPR and OVRFs after PVA. The receiver operating characteristic (ROC) curve and Kaplan-Meier method were used to analyze the predictive value of AAPR for the incidence of OVRFs. A total of 305 patients were included in the final study, and the incidence of postoperative OVRFs was 28.9%. Multivariate COX analysis showed that advanced age (HRs = 1.062, p = 0.002), low BMI (HRs = 0.923, p = 0.036), low AAPR (HRs = 0.019, p = 0.001), previous fall history (HRs = 3.503, p = 0.001), denosumab treatment (HRs = 0.409, p = 0.007), low L3 BMD (HRs = 0.977, p = 0.001) and low L3 paravertebral muscle density (PMD)value (HRs = 0.929, p = 0.001)) were closely related to the incidence of OVRFs. The area under the curve (AUC) of AAPR for predicting OVRFs was 0.740 (p < 0.001), and the optimal diagnostic cut-off value was 0.49. Kaplan-Meier curve analysis showed that low AAPR group (< 0.49) was significantly associated with lower OVRFs-free survival (p = 0.001; log-rank test). AAPR is an independent risk factor for OVRFs after PVA in postmenopausal women, and it can be used as an effective index to predict OVRFs.

Predicting pathological complete response after neoadjuvant chemotherapy in breast cancer by clinicopathological indicators and ultrasound parameters using a nomogram

The study explored the impact of pretreatment serum albumin-to-alkaline phosphatase ratio (AAPR) and changes in tumor blood supply on pathological complete response (pCR) in breast cancer (BC) patients following neoadjuvant chemotherapy (NACT). Additionally, a nomogram for predicting pCR was established and validated. The study included BC patients undergoing NACT at Yongchuan Hospital of Chongqing Medical University from January 2019 to October 2023. We analyzed the correlation between pCR and clinicopathological factors, as well as tumor ultrasound features, using chi-square or Fisher's exact test. We developed and validated a nomogram predicting pCR based on regression analysis results. The study included 176 BC patients. Logistic regression analysis identified AAPR [odds ratio (OR) 2.616, 95% confidence interval (CI) 1.140–5.998, P = 0.023], changes in tumor blood supply after two NACT cycles (OR 2.247, 95%CI 1.071–4.716, P = 0.032), tumor histological grade (OR 3.843, 95%CI 1.286–10.659, P = 0.010), and HER2 status (OR 2.776, 95%CI 1.057–7.240, P = 0.038) as independent predictors of pCR after NACT. The nomogram, based on AAPR, changes in tumor blood supply after two NACT cycles, tumor histological grade, and HER2 status, demonstrated a good predictive capability.

Tumour burden score combined with albumin-to-alkaline phosphatase ratio predicts prognosis in patients with intrahepatic cholangiocarcinoma.

Tumour morphology (tumour burden score (TBS)) and liver function (albumin-to-alkaline phosphatase ratio (AAPR)) have been shown to correlate with outcomes in intrahepatic cholangiocarcinoma (ICC). This study aimed to evaluate the combined predictive effect of TBS and AAPR on survival outcomes in ICC patients. We conducted a retrospective analysis using a multicentre database of ICC patients who underwent curative surgery from 2011 to 2018. The Kaplan-Meier method was employed to examine the relationship between a new index (combining TBS and AAPR) and long-term outcomes. The predictive efficacy of this index was compared to other conventional indicators. A total of 560 patients were included in the study. Based on TBS and AAPR stratification, patients were classified into three groups. Kaplan-Meier curves demonstrated that 124 patients with low TBS and high AAPR had the best overall survival (OS) and recurrence-free survival (RFS), while 170 patients with high TBS and low AAPR had the worst outcomes (log-rank p < 0.001). Multivariate analyses identified the combined index as an independent predictor of OS and RFS. Furthermore, the index showed superior accuracy in predicting OS and RFS compared to other conventional indicators. Collectively, this study demonstrated that the combination of liver function and tumour morphology provides a synergistic effect in evaluating the prognosis of ICC patients. The novel index combining TBS and AAPR effectively stratified postoperative survival outcomes in ICC patients undergoing curative resection.

Construction and validation of a novel tumor morphology immune inflammatory nutritional score (TIIN score) for intrahepatic cholangiocarcinoma: a multicenter study

BackgroundTumor morphology, immune function, inflammatory levels, and nutritional status play critical roles in the progression of intrahepatic cholangiocarcinoma (ICC). This multicenter study aimed to investigate the association between markers related to tumor morphology, immune function, inflammatory levels, and nutritional status with the prognosis of ICC patients. Additionally, a novel tumor morphology immune inflammatory nutritional score (TIIN score), integrating these factors was constructed.MethodsA retrospective analysis was performed on 418 patients who underwent radical surgical resection and had postoperative pathological confirmation of ICC between January 2016 and January 2020 at three medical centers. The cohort was divided into a training set (n = 272) and a validation set (n = 146). The prognostic significance of 16 relevant markers was assessed, and the TIIN score was derived using LASSO regression. Subsequently, the TIIN-nomogram models for OS and RFS were developed based on the TIIN score and the results of multivariate analysis. The predictive performance of the TIIN-nomogram models was evaluated using ROC survival curves, calibration curves, and clinical decision curve analysis (DCA).ResultsThe TIIN score, derived from albumin-to-alkaline phosphatase ratio (AAPR), albumin–globulin ratio (AGR), monocyte-to-lymphocyte ratio (MLR), and tumor burden score (TBS), effectively categorized patients into high-risk and low-risk groups using the optimal cutoff value. Compared to individual metrics, the TIIN score demonstrated superior predictive value for both OS and RFS. Furthermore, the TIIN score exhibited strong associations with clinical indicators including obstructive jaundice, CEA, CA19-9, Child–pugh grade, perineural invasion, and 8th edition AJCC N stage. Univariate and multivariate analysis confirmed the TIIN score as an independent risk factor for postoperative OS and RFS in ICC patients (p < 0.05). Notably, the TIIN-nomogram models for OS and RFS, constructed based on the multivariate analysis and incorporating the TIIN score, demonstrated excellent predictive ability for postoperative survival in ICC patients.ConclusionThe development and validation of the TIIN score, a comprehensive composite index incorporating tumor morphology, immune function, inflammatory level, and nutritional status, significantly contribute to the prognostic assessment of ICC patients. Furthermore, the successful application of the TIIN-nomogram prediction model underscores its potential as a valuable tool in guiding individualized treatment strategies for ICC patients. These findings emphasize the importance of personalized approaches in improving the clinical management and outcomes of ICC.

Elevated pretreatment lactate dehydrogenase and albumin-to-alkaline phosphatase ratio predict poor prognosis and early treatment discontinuation in head and neck cancer patients with preexistent diabetes mellitus.

Increased serum lactate dehydrogenase (LDH) activity is considered as amarker of cellular necrosis and serves as ametabolomic diagnostic marker in several types of cancer including head and neck squamous cell carcinoma (HNSCC). LDH, an enzyme involved in the glycolytic cycle, is correlated not only with the activation of oncogenes such as HIF-α and Myc, but also with effects such as tumor proliferation and metastasis. Serum alkaline phosphatase (ALP) is amarker of cell differentiation and tumor induction. Albumin-to-alkaline phosphatase ratio (AAPR) could be an advantageous biomarker due to its easily accessible dynamics and cost-effectiveness. Elevated values of AAPR could be associated with longer overall survival (OS) in cases with solid tumors. Diabetes mellitus (DM) could influence the outcome of patients with HNSCC by contributing to insulin resistance and chronic inflammation, and by being involved in various aspects of carcinogenesis, disease progression and metastasis. However, the use of antihyperglycemic medications (metformin) can have beneficial effects by inhibiting tumor metabolic pathways. The biomarker role of LDH and AAPR in HNSCC patients with DM has been less evaluated. The purpose of the study was to assess the prognostic value of pretreatment serum lactate dehydrogenase (LDH) and albumin-to-alkaline phosphatase ratio (AAPR) in predicting the duration of non-surgical oncological treatment and glycemic control in cases of head and neck cancers patients with DM, including cases selected from the database of the oncology clinic and oncology outpatient clinic of the Craiova County Hospital. Both LDH and AAPR can be used as pre-treatment biomarkers predictive of treatment response, or prognostic tools included in complex multi-parametric models in HNC associated with DM. However, given the impact of short-term glycemic control on the LDH level, it is necessary to evaluate these biomarkers after assessing and controlling for DM, and with the recommended cut-off value set around 0.5. Due to the limited number of cases, it is necessary to validate the results in multicentric trials with alarger number of patients (Tab. 5, Ref. 50). Keywords: diabetes mellitus, HNC, LDH, AAPR, biomarkers, predictive, head and neck cancers, lactate dehydrogenase, albumin-to-alkaline phosphatase ratio.

Preoperative Albumin-to-Alkaline Phosphatase Ratio as an Independent Predictor of Lymph Node Involvement in Penile Cancer.

Background and Objectives: To investigate the role of preoperative albumin-to-alkaline phosphatase ratio (AAPR) in predicting pathologic node-positive (pN+) disease in penile cancer (PC) patients undergoing inguinal lymph node dissection (ILND). Materials and Methods: Clinical data of patients with squamous cell carcinoma (SCC) PC + ILND at a single high-volume institution between 2016 and 2021 were collected and retrospectively analyzed. An AAPR was obtained from preoperative blood analyses performed within 30 days from their scheduled surgery. A ROC curve analysis was used to assess AAPR cutoff, in addition to the Youden Index. Logistic regression analysis was utilized for an odds ratio (OR), 95% confidence interval (CI) calculations, and an estimate of pN+ disease. A p value < 0.05 was considered to be as statistically significant. Results: Overall, 42 PC patients were included in the study, with a mean age of 63.6 ± 12.9 years. The AAPR cut-off point value was determined to be 0.53. The ROC curve analysis reported an AUC of 0.698. On multivariable logistic regression analysis lymphovascular invasion (OR = 5.38; 95% CI: 1.47-9.93, p = 0.022), clinical node-positive disease (OR = 13.68; 95% CI: 4.37-43.90, p < 0.009), and albumin-to-alkaline phosphatase ratio ≤ 0.53 (OR = 3.61; 95% CI: 1.23-12.71, p = 0.032) were predictors of pN+ involvement. Conclusions: Preoperative AAPR may be a potentially valuable prognostic marker of pN+ disease in patients who underwent surgery for PC.

The effect of albumin to alkaline phosphatase ratio on survival in patients with metastatic bone sarcomas

Objective: To investigate the effect of albumin to alkaline phosphatase ratio (AALPR) at survival in patients with metastatic bone sarcomas.&#x0D; Patients and Methods: 60 patients with metastatic bone sarcomas were included in the study. The relationship between AALPR before chemotherapy and overal survival (OS) and progression free survival (PFS) was evaluated with Cox regression multivariate analysis.&#x0D; Results: Of the patients in the study, 25 (58.3%) were osteosarcoma, 16 (26.7%) Ewing's sarcoma, 5 (8.3%) chondrosarcoma and 4 (6.7%) giant cell bone tumor. AALPR was 0.039 obtained in ROC analysis. The median PFS and OS at AALPR ≥ 0.039 group was statistically significantly higher than the group with

Clinical role of pretreatment albumin-to-alkaline phosphatase ratio in lung cancer: a meta-analysis

The association between pretreatment albumin-to-alkaline phosphatase ratio (AAPR) and clinicopathological parameters and prognosis in lung cancer is unclear. The study aimed to identify the clinical role of pretreatment AAPR among lung cancer patients. Several databases were searched for relevant studies. The primary outcome and secondary outcome were long-term survival including the overall survival (OS) and progression-free survival (PFS) and clinicopathological characteristics, respectively. The hazard ratios (HRs) and relative risks (RRs) with 95% confidence intervals (CIs) were combined. A total of 11 publications involving 10,589 participants were included in this meta-analysis. The pooled results manifested that a lower pretreatment AAPR predicted poorer OS (HR = 0.65, 95% CI 0.59–0.71, P < 0.001) and PFS (HR = 0.68, 95% CI 0.59–0.78, P < 0.001). Furthermore, subgroup analysis for the OS and PFS based on the pathological type and treatment showed similar results and pretreatment AAPR was significantly associated with worse prognosis. Besides, pretreatment AAPR was significantly associated with male (RR = 1.08, 95% CI 1.03–1.13, P < 0.001), poor differentiation (RR = 1.33, 95% CI 1.03–1.73, P = 0.029), advanced T stage (RR = 1.25, 95% CI 1.03–1.52, P = 0.026), N stage (RR = 1.34, 95% CI 1.15–1.55, P < 0.001) and TNM stage (RR = 1.14, 95% CI 1.06–1.223, P < 0.001). Therefore, pretreatment AAPR is significantly related to prognosis and tumor stage in lung cancer and patients with a lower pretreatment AAPR are more likely to experience poor survival and advanced tumor stage.

Albumin-to-alkaline phosphatase ratio as a novel prognostic indicator in patients undergoing peritoneal dialysis: a propensity score matching analysis.

Though the albumin-to-alkaline phosphatase ratio (AAPR) is used as a biomarker in various diseases, little is known about its effect on outcomes after peritoneal dialysis (PD). This multicenter retrospective study comprised 357 incident PD patients stratified according to the AAPR. Propensity score matching (PSM) was performed to identify 85 patients for a well-matched comparison of all-cause and cardiovascular mortality. Using Cox regression, we performed univariate and multivariate analyses to investigate the prognostic value of the AAPR and established a Kaplan-Meier curve-predicted nomogram to estimate expected overall survival (OS). We assessed the predictive accuracy using the concordance index (c-index). We found that the optimal cut-off of the AAPR to predict mortality was 0.36. In the present cohort of patients undergoing PD, a low AAPR strongly correlated with worse OS. In the multivariate analysis, the AAPR was shown to be an independent marker predicting reduced OS both before [hazard ratio (HR) 1.68, 95% confidence interval (CI) 1.08-2.60, P = 0.020] and after PSM (HR 1.96, 95% CI 1.06-3.62, P = 0.020). We also observed significant differences in OS in several subgroups, but not the group of patients with comorbidities. A nomogram was established to predict overall survival, with a c-index for prediction accuracy was 0.71 after PSM. AAPR has potential as an independent prognostic biomarker in patients undergoing PD.

Preoperative evaluation of MRI features and inflammatory biomarkers in predicting microvascular invasion of combined hepatocellular cholangiocarcinoma.

Microvascular invasion (MVI) is a significant prognostic factor in combined hepatocellular cholangiocarcinoma (cHCC-CCA). However, its diagnosis relies on postoperative histopathologic analysis. This study aims to identify preoperative inflammatory biomarkers and MR-imaging features that can predict MVI in cHCC-CCA. This retrospective study enrolled 119 patients with histopathologically confirmed cHCC-CCA between January 2016 and December 2021. Two radiologists, unaware of the clinical data, independently reviewed all MR image features. Univariable and multivariable analyses were performed to determine the independent predictors for MVI among inflammatory biomarkers and MRI characteristics. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the diagnostic performance. Multivariable logistic regression analysis identified four variables significantly associated with MVI (p < 0.05), including two inflammatory biomarkers [albumin-to-alkaline phosphatase ratio (AAPR) and aspartate aminotransferase-to-neutrophil ratio index (ANRI)] and two MRI features (non-smooth tumor margin and arterial phase peritumoral enhancement). A combined model for predicting MVI was constructed based on these four variables, with an AUC of 0.802 (95% CI 0.719-0.870). The diagnostic efficiency of the combined model was higher than that of the imaging model. Inflammatory biomarkers and MRI features could be potential predictors for MVI in cHCC-CCA. The combined model, derived from inflammatory biomarkers and MRI features, showed good performance in preoperatively predicting MVI in cHCC-CCA patients.

Impact of Immune, Inflammatory, and Nutritional Indices on Outcome in Patients with Cervical Cancer Treated with Definitive (Chemo)radiotherapy

Systemic immune, inflammatory, and nutritional indices have been shown to be prognostic for outcome across a range of tumor sites. However, a comprehensive analysis of these markers in patients with cervical cancer treated with definitive (chemo)radiotherapy [(C)RT] has not been performed. We hypothesized that systemic immune, inflammatory, and nutritional indices may be associated with progression free survival (PFS) and overall survival (OS) in patients undergoing definitive (C)RT for cervical cancer. Patients with cervical cancer treated with definitive (C)RT from 1999 - 2015 were identified from a single cancer institution's retrospective clinicopathological database. Pre-treatment immune, inflammatory, and nutritional parameters were collected, and indices derived. Systemic immune-inflammation index (SII) = neutrophil count x platelet count / lymphocyte count(10^9/L); PLR = platelet count / lymphocyte count(10^9/L), NLR = neutrophil count / lymphocyte count (10^9/L); MLR = monocyte count / lymphocyte count (10^9/L); albumin to alkaline phosphatase ratio (AAPR) = serum albumin level (g/L)/alkaline phosphatase level (U/L) and prognostic nutritional index (PNI) = serum albumin (g/L) + 5 x lymphocyte count (10^9/L). Univariate analysis was first performed on each parameter as continuous variables for PFS and OS. For variables with statistically significant associations, ROC curves were analyzed to determine if an optimal cut point could be established for each outcome. Common cut points were then defined for each variable. PFS and OS were analyzed by the Kaplan-Meier method and the Log-Rank test. Multivariate analysis was performed using Cox regression with covariates of tumor stage, histology, and age. P-values of <0.05 were considered statistically significant. A total of 196 patients were identified; median follow-up 7 years. 131 (67%) had stage I-II and 65 (33%) stage III-IV disease. 187 (95%) received CRT and 9 (5%) RT alone. Higher SII (≤700 vs >700; p = 0.01), higher PLR (≤ 250 vs >250; p<0.001) and higher NLR (≤ 5 vs >5; p = 0.003) were associated with worse PFS. Higher SII [≤700 vs >700: 5y OS 74.9 vs 55.8; p = 0.02], higher PLR [≤ 250 vs >250: 5y OS 69.9% vs 42.0%; p<0.001] and higher NLR [≤ 5 vs >5: 5y OS 65.3% vs 51.0%; p = 0.01] were associated with worse OS. MLR, AAPR and PNI were not associated with outcome on univariate analysis. On multivariate analysis, SII and PLR were independently associated with both PFS [SII: HR 1.647 (CI 1.029-2.639), p = 0.038; PLR: HR 2.301 (95% CI 1.507 - 3.512), p = <0.001], and OS [SII: HR 1.649 (95% CI 1.009-2.696), p = 0.046; PLR: HR 2.212 (95% CI 1.416-3.455), p<0.001]; NLR did not remain statistically significant. SII and PLR, but not nutritional indices, were independently associated with PFS and OS in patients with cervical cancer treated with definitive (C)RT. Further evaluation of these systemic immune and inflammatory indices in a validation set will be required to better define their clinical utility.

The Influence of the Preoperative Albumin to Alkaline Phosphatase Ratio on Overall Survival in Post-Radical Surgery for Colorectal Cancer and the Construction of a Nomogram Prediction Model.

The albumin to alkaline phosphatase ratio (AAPR) is a newly developed blood biomarker that has been reported to have prognostic value in several types of cancers. The aim of this study was to investigate the predictive value of AAPR in overall survival after radical colon cancer surgery in patients with stage I-III colorectal cancer (CRC). The clinical data of 221 eligible patients with stage I ∼ III CRC were retrospectively analyzed. A series of survival analyses were performed to assess the prognostic value of AAPR. Univariate and multifactorial Cox analyses were performed to identify independent risk factors. Columnar graph prediction models were further constructed based on independent risk factors such as AAPR, and their predictive properties were validated. The optimal cutoff value of preoperative AAPR for postoperative overall survival (OS) in patients undergoing laparoscopic radical CRC was .495 as shown by univariate and multifactorial Cox regression analysis. The factors of age ≤65years, Tumor-Node-Metastasis (TNM) stage I-II, tumor grading (high/medium differentiation), CEA ≤5, and AAPR ≥.495 were associated with better OS (P < .05). Preoperative AAPR level was a good predictor of postoperative survival in patients undergoing laparoscopic radical CRC surgery, and AAPR <.495 was an independent risk factor for decreased postoperative OS.

761 Albumin to Alkaline Phosphatase Ratio in Burn-Induced Liver Damage

Abstract Introduction Liver damage following burn injury is associated with a poor prognosis. Thus, prevention, and early identification, of burn-induced liver damage will improve the outcomes of burn patients. Aspartate-aminotransferase (AST) and alanine-aminotransferase (ALT) help detect liver injury in extensive burns &amp;gt;50% of Total body surface area (TBSA). However, their efficacy may be questionable in burns &amp;lt; 50% TBSA. Clinical reports describe albumin to alkaline phosphatase ratio (AAPR) to predict liver injury and dysfunction more accurately than AST and ALT in pathologies like non-alcoholic fatty liver disease and primary liver tumors. However, this ratio has never been tested in burn victims. Herein, we hypothesize that the AAPR may be more useful in detecting burn-induced liver damage. Given that liver biopsies are invasive methods with several complications, we correlated liver histological findings from a burn injury murine model Methods Livers and serum were collected from C57BL/6 8-12 weeks female mice, 1, 2, and 4 days after a 15% TBSA scald burn, n=5/group. Histological findings were scored by a pathologist blindly. Serum liver function tests were measured with a colorimetric method. We also conducted a pilot, prospective observational study on 58 burn patients admitted to the Burn Intensive Care Unit (ICU) to follow AST, ALT, and AAPR values. Furthermore, in an initial survival model, we correlated hospital days of stay with the AAPR values Results In our murine model of burn injury, liver damage worsens with time. Compared to postburn day 1 the histological damage score significantly increased by 75% at 4 days postburn. AST and ALT were elevated within the first day; however, their values normalized by day 3 postburn, failing to match the progression of liver injury showed by histology. Comparing postburn day 1 the AAPR significantly decreased by 40% on postburn day 4. The enrolled patients were mostly male (74%), with a median age of 50 and an average TBSA of 9.13%. While AST-ALT did not show significant changes in the first 2 weeks after burn, the AAPR on an initial run of a linear model of day predicting ratio decreased over time by -0.08/day (p=0.006). Moreover, our statistical model detected that the likelihood of discharge from ICU increases with the AAPR ratio (Hazard-Ratio 1.18/0.01 increase ratio p =0.003) Conclusions AAPR showed a better correlation of burn-induced liver injury in mice than AST and ALT. AAPR decreases in burn patients and may represent postburn liver alterations. AAPR increase raises the likelihood of ICU discharge Applicability of Research to Practice Identification and monitoring of liver injury and dysfunction with new modalities may improve the outcome of burn patients

Low albumin-to-alkaline phosphatase ratio is associated with inferior prognosis in patients with head and neck cancer underwent concurrent chemoradiation: A propensity score-matched analysis.

Low albumin-to-alkaline phosphatase ratio (AAPR) is associated with tumor progression and poor survival outcome in some malignancies. We aimed to determine the prognostic value of AAPR in head and neck cancer (HNC) patients underwent concurrent chemoradiotherapy (CCRT). We retrospectively reviewed medical records of 342 patients with HNC treated with definitive or adjuvant CCRT from 2007 to 2017. Receiver-operator characteristic curve assessed the cut-off value and predictive accuracy of AAPR for disease progression. Propensity score-matched (PSM) method was performed to balance baseline characteristics. Multivariate Cox regression analyses screened the independent prognostic factors for progression-free survival (PFS) and overall survival (OS). The median follow-up duration was 40 months. The optimal cut-off level of AAPR was 0.523. In the PSM cohort, an AAPR < 0.523 was related to worse PFS and OS (PFS: Hazard ratio [HR], 1.936; 95% confidence interval [CI], 1.212 to 3.249; P = 0.001 and OS: HR, 1.832; 95% CI, 1.117 to 3.478; P = 0.02) compared with those with an AAPR ≥ 0.523. AJCC stage IVA-B also showed poor survival outcome compared with patients with AJCC stage II--III (PFS: HR, 1.855; 95% CI, 1.173 to 2.933; P = 0.008 and OS: HR, 1.905; 95% CI, 1.131 to 3.211; P = 0.015). HNC patients with low AAPR independently have worse survival outcomes than do high AAPR patients. These findings might help physicians predict treatment outcome and guide treatment strategy in patients with HNC underwent CCRT.

Predictive potential of albumin-alkaline phosphatase ratio for cerebrovascular accident in patients with antineutrophil cytoplasmic antibody-associated vasculitis.

This study investigated the predictive potential of the albumin-to-alkaline phosphatase ratio (AAPR) for cerebrovascular accident (CVA) occurrence in patients with antineutrophil cytoplasmic antibody-associated vasculitis. This study included 239 AAV patients and reviewed their medical records retrospectively. AAPR was calculated using the following formula: AAPR = serum albumin (g/dL)/serum alkaline phosphatase (IU/L). CVA was defined only as cerebral infarction after AAV diagnosis in this study. In patients with CVA and those without CVA, the follow-up duration based on CVA was defined as the period from AAV diagnosis to CVA occurrence and to the last visit day, respectively. The median age of 239 AAV patients (130 microscopic polyangiitis, 64 granulomatosis with polyangiitis, and 45 eosinophilic granulomatosis with polyangiitis) was 59.0years and 32.6% were men. The median serum albumin and alkaline phosphatase levels, and AAPR were 3.7g/dL, 70.5 IU/L and 0.051, respectively. Nineteen patients had CVA during the median follow-up duration of 34.8months. Using the receiver operator characteristic curve analysis, the optimal cut-off of AAPR for CVA occurrence was obtained as ≤ 0.035. AAV patients with AAPR ≤ 0.035 showed a significantly higher risk of CVA occurrence after AAV diagnosis than those with AAPR >0.035 (relative risk 5.000, p < 0.001). In the multivariable Cox analysis, only AAPR ≤ 0.035 was independently associated with CVA occurrence among AAV patients (hazard ratio 3.195, 95% confidence interval 1.014, 10.062). This study demonstrated the predictive potential of AAPR calculated at AAV diagnosis for CVA occurrence after AAV diagnosis among AAV patients.

Prognostic effect of albumin-to-alkaline phosphatase ratio on patients with hepatocellular carcinoma: a systematic review and meta-analysis

The prognostic value of albumin-to-alkaline phosphatase ratio (AAPR) in patients with hepatocellular carcinoma (HCC) remains controversial. This meta-analysis aims to evaluate the prognostic role of AAPR in patients with HCC. The databases of Web of Science, Embase, Cochrane Library and PubMed were comprehensively searched from inception to April 25, 2022. Pooled hazard ratio (HR) and 95% confidence interval (CI) were calculated with Stata 16.0 software for the assessment of the relationship between AAPR and overall survival (OS) as well as recurrence-free survival (RFS) in patients with HCC. A total of 2634 patients from 12 cohorts were included in this meta-analysis. The pooled results showed that lower AAPR predicted poorer OS (HR 2.02, 95% CI 1.78–2.30). Similarly, pooled results demonstrated that lower AAPR also predicted poorer RFS (HR 1.88, 95% CI 1.37–2.57). The heterogeneity for RFS by multivariate analytic results and the publication bias for OS existed, however, the subgroup analysis, meta-regression analysis as well as adjustment using trim-and-fill analysis confirmed an association between AAPR and OS as well as RFS. This meta-analysis proves that lower AAPR in patients with HCC predicted inferior survival outcomes, and AAPR might be a promising indicator for the prognosis of HCC.

The impact of serum albumin-to-alkaline phosphatase ratio in cervical cancer patients treated with definitive chemoradiotherapy

We retrospectively analysed the prognostic significance of serum albumin, alkaline phosphatase (ALP) and albumin to ALP ratio (AAPR) and other prognostic factors affecting the overall survival (OS) and progression-free survival (PFS) in 200 cervical cancer patients treated with definitive chemoradiotherapy (CRT). The prognostic factors for OS and DFS, in addition to the predictive factors of albumin, ALP and AAPR, were investigated. Older age, lymph node metastasis, non-complete response (CR) to treatment and low serum albumin levels emerged as predictors of poor OS and PFS in multivariate analysis. However, with a cut-off value of 0.51, AAPR was not a significant prognostic factor of survival in multivariable analysis. There were no significant differences in clinicopathological factors between patients with low and high AAPR, except for lymph node metastasis, where lymph node metastasis rate was significantly higher in patients with a low AAPR compared to those with a high AAPR. Patients with CR had a significantly higher serum albumin level and AAPR compared to patients without CR. The pre-treatment serum albumin level was independent predictive for survival; therefore, it could be a suitable biomarker to guide systemic therapy and predict patient outcomes. Impact Statement What is already known on this subject? Two major determinants of tumour progression are nutritional status and inflammation. The albumin-to-alkaline phosphatase ratio (AAPR), which was originally proposed as a marker for nutritional status and immune response, was recently discovered to be a prognostic factor for various cancer types. However, its utility in the treatment of cervical cancer has not been established. What do the results of this study add? Low serum albumin levels were associated with a significantly shorter OS and PFS in cervical cancer patients treated definitively with CRT. AAPR, on the other hand, was not a significant prognostic factor for survival with a cut-off value of 0.51. Regional lymph node metastasis was significantly more common in patients with a low AAPR than in those with a high AAPR. What are the implications of these findings for clinical practice and/or further research? Patients with multiple clinicopathological risk factors and low serum albumin levels had an increased risk of disease recurrence and a poorer prognosis, highlighting the importance of additional adjuvant treatment strategies in these patients. Due to the preliminary nature of our findings, additional research is required to corroborate them.

Albumin-to-Alkaline Phosphatase Ratio as a Novel Prognostic Factor in Patients Undergoing Nephrectomy for Non-Metastatic Renal Cell Carcinoma: Propensity Score Matching Analysis.

To evaluate the prognostic value of albumin-to-alkaline phosphatase ratio (AAPR) on recurrence and survival in patients with non-metastatic renal cell carcinoma (RCC) treated with radical or partial nephrectomy. Between June 1994 and December 2018, 491 patients with RCC who underwent radical or partial nephrectomy at 2 institutions were enrolled in this study. Recurrence-free survival (RFS) and cancer-specific survival (CSS) analyses were performed to distinguish the differences in postoperative recurrence and survival between patients stratified by an optimal cut-off value of AAPR. Multivariable Cox proportional hazards regression models were established to determine the independent prognostic factors after propensity score weighting. Of the total 491 patients, 51 patients (10.4%) developed local recurrence or distant metastasis and 26 patients (5.3%) died of disease during the follow-up period. Patients with AAPR<0.41 had significantly lower rates of RFS and CSS than those of patients with AAPR≥0.41 in multivariate analysis (P < .001 and P=.027, respectively). After propensity scroe matching analyses, this difference was still remained for RFS (P < .001). However, AAPR was not an independent prognostic factor for CSS but the value was almost pregnant (HR=2.674; 95%CI=0.872-8.203; P=.086). AAPR can serve as a novel and useful tool to refine prognosis in patients with non-metastatic RCC treated with partial or radical nephrectomy. These findings suggest that AAPR could be a promising prognostic factor for prediction of recurrence and survival in patients with non-metastatic RCC who undergo nephrectomy.