Haemoglobin, albumin, lymphocyte and platelet predicts postoperative survival in pancreatic cancer

Dissecting Tumor Size Underestimation in Pancreatic Cancer: A Comparative Analysis of Preoperative Treatments

BACKGROUND

Tumor size (TS) in pancreatic ductal adenocarcinoma (PDAC) is one of the most important prognostic factors. However, discrepancies between TS on preoperative images (TSi) and pathological specimens (TSp) have been reported. This study aims to evaluate the factors associated with the differences between TSi and TSp.

PATIENTS AND METHODS

We retrospectively analyzed patients with PDAC who underwent surgery at our institution between January 2010 and November 2023. TS discrepancy (TSD[%]) was defined as ([TSp - TSi]/TSp) × 100. Using logistic regression, we generated a receiver operating characteristic (ROC) curve to define the cutoff for TSi underestimation predicting clinical tumor (T) stage migration. Univariate and multivariate analyses were performed to evaluate predictors of TSi underestimation.

RESULTS

Of the 231 patients, 99 (42%) patients received preoperative chemotherapy. The ROC curve determined a TSD underestimation cutoff of 25.9%. The number of TSp > TSi cases was 185 (80%), and TSi underestimation was present in 117 (51%) patients. T stage migration rates were 76%, 26%, and 50% in clinical stage (c) T1, cT2, cT3, respectively, among the patients with chemotherapy, and 93%, 33%, and 14%, respectively, in those without chemotherapy. Multivariate analyses revealed that independent predictors of TSi underestimation were posterior surface invasion in the patients with preoperative chemotherapy and anterior surface invasion in those without chemotherapy.

CONCLUSIONS

TS was more commonly underestimated than overestimated, and cT1 rarely corresponded to pathological (p)T1. The factors contributing to TSi underestimation differed between patients with and without preoperative chemotherapy. Therefore, these two groups should be considered separately for accurate TSi evaluation.

Preoperative pan-immuno-inflammatory values and albumin-to-globulin ratio predict the prognosis of stage I-III colorectal cancer

This study evaluated the prognostic value of the pan-immune-inflammation value (PIV) combined with the albumin-to-globulin ratio (AGR) for postoperative survival in colorectal cancer (CRC) patients and developed a nomogram for survival prediction. A total of 650 CRC patients who underwent radical surgery were included, with data from one institution used as the training set. The optimal cut-off values for PIV (426.8) and AGR (1.4) were determined using maximally selected rank statistics. Kaplan-Meier analysis showed that patients in the low-PIV group had significantly better 5-year overall survival (OS) compared to the high-PIV group, while those in the high-AGR group had better 5-year OS than those in the low-AGR group. Multivariate analysis identified age, N stage, degree of differentiation, PIV, and AGR as independent prognostic factors for OS. A nomogram for OS was developed and validated, demonstrating robust predictive performance. This study highlights the value of PIV and AGR as reliable indicators for predicting OS in CRC patients, with high PIV and low AGR associated with worse prognosis. Timely interventions may improve patient outcomes.

Utilizing Albumin Value, HALP Score and LCR Value for Predicting Survival in Patients with Pancreatic Adenocarcinoma

Background and Objectives: This study aimed to determine whether albumin levels and the ratios of key biochemical markers, including the hemoglobin, albumin, lymphocyte, and platelet (HALP score) and lymphocyte/C-reactive protein ratio (LCR), can predict survival and recurrence in patients with pancreatic adenocarcinoma. Materials and Methods: A total of 87 patients who underwent surgery for pancreatic adenocarcinoma in our clinic between January 2017 and December 2021 were included. Preoperative albumin levels, HALP scores, and LCR values were calculated and analyzed to evaluate their predictive value for pathological findings in the early postoperative period. Results: The mean age of the study population was 64.8 ± 9.6 years; 59 patients (67.8%) were male, and 28 (32.2%) were female. The cut-off values for HALP, LCR, and albumin were 34.4, 0.61, and 38.55, respectively. Patients with low HALP scores had significantly shorter overall survival than those with high scores (15.8 vs. 19.3 months; p < 0.01). Similarly, patients with low LCR scores showed shorter survival than those with high scores (17.8 vs. 18.5 months; p < 0.01). High albumin levels were associated with significantly longer survival compared to low albumin levels (16.3 vs. 14.6 months; p < 0.01). Conclusions: Low HALP scores and low albumin levels were identified as significant independent prognostic factors for both disease-free and overall survival in patients with pancreatic adenocarcinoma.

Association of circulating metabolic biomarkers with risk of lung cancer: a population-based prospective cohort study

BACKGROUND

There is emerging evidence that metabolites might be associated with risk of lung cancer, but their relationships have not been fully characterized. We aimed to investigate the association between circulating metabolic biomarkers and lung cancer risk and the potential underlying pathways.

METHODS

Nuclear magnetic resonance metabolomic profiling was conducted on baseline plasma samples from 91,472 UK Biobank participants without cancer and pregnancy. Multivariate Cox regression models were employed to assess the hazard ratios (HRs) of 164 metabolic biomarkers (including metabolites and lipoprotein subfractions) and 9 metabolic biomarker principal components (PCs) for lung cancer, after adjusting for covariates and false discovery rate (FDR). Pathway analysis was conducted to investigate the potential metabolic pathways.

RESULTS

During a median follow-up of 11.0 years, 702 participants developed lung cancer. A total of 109 metabolic biomarkers (30 metabolites and 79 lipoprotein subfractions) were associated with the risk of lung cancer. Glycoprotein acetyls demonstrated a positive association with lung cancer risk [HR = 1.13 (95%CI: 1.04, 1.22)]. Negative associations with lung cancer were found for albumin [0.78 (95%CI: 0.72, 0.83)], acetate [0.91 (95%CI: 0.85, 0.97)], valine [0.90 (95%CI: 0.83, 0.98)], alanine [0.88 (95%CI: 0.82, 0.95)], glucose [0.91 (95%CI: 0.85, 0.99)], citrate [0.91 (95%CI: 0.85, 0.99)], omega-3 fatty acids [0.83 (95%CI: 0.77, 0.90)], linoleic acid [0.83 (95%CI: 0.77, 0.89)], etc. Nine PCs represented over 90% of the total variances, and among those with statistically significant estimates, PC1 [0.85 (95%CI: 0.80, 0.92)], PC2 [0.88 (95%CI: 0.82, 0.95)], and PC9 [0.87 (95%CI: 0.80, 0.93)] were negatively associated with lung cancer risk, whereas PC7 [1.08 (95%CI: 1.00, 1.16)] and PC8 [1.16 (95%CI: 1.08, 1.26)] showed positive associations with lung cancer risk. The pathway analysis showed that the "linoleic acid metabolism" was statistically significant after the FDR adjustment (p value 0.0496).

CONCLUSIONS

Glycoprotein acetyls had a positive association with lung cancer risk while other metabolites and lipoprotein subfractions showed negative associations. Certain metabolites and lipoprotein subfractions might be independent risk factors for lung cancer. Our findings shed new light on the etiology of lung cancer and might aid the selection of high-risk individuals for lung cancer screening.

Assessing the prognostic value of HALP score in peripheral artery disease: Correlation with lesion severity and long-term mortality

IntroductionPeripheral artery disease (PAD) poses a growing clinical challenge due to an aging population, despite advances in treatment methods. Various scoring systems have emerged to predict high-risk patients, including the HALP (hemoglobin, albumin, lymphocyte, and platelet) score, known for predicting prognosis in cancers and stroke. This study assesses the HALP score's relation to lesion severity and long-term mortality in PAD patients.MethodsWe retrospectively analyzed 305 symptomatic PAD patients undergoing endovascular intervention. The following formula was used to calculate the HALP score: hemoglobin (g/L) × albumin (g/L) × lymphocyte count (/L) / platelet count (/L). Lesion severity was classified by TASC-II: TASC AB and TASC CD. Mortality data were obtained from hospital and social security records.ResultsThe study involved 305 patients (mean age 64.4 ± 11.8 years; 72.1% male), divided into survivors (208) and non-survivors (97). ROC analysis identified HALP score as the strongest predictor of long-term mortality (AUC: 0.736; 95% CI: 0.679-0.793; p < .001). HALP score (HR, 0.087; 95% CI, 0.025-1.300; p < .001), age (p < .001), DM (p = .007), and CRP (p = .013) independently predicted mortality. Kaplan-Meier analysis showed higher HALP scores linked to lower long-term mortality (Log-rank: 20.102, p < .001), with an average follow-up of 48 ± 18 months.ConclusionThe HALP score emerged as a robust predictor of PAD prognosis, surpassing individual components and other parameters. Lower HALP scores correlated with more severe lesions and reduced life expectancy.

The prognostic impact of preoperative nutritional status on postoperative complications and overall survival in patients with resectable pancreatic cancer

PURPOSE

The aim of the study is to demonstrate the prognostic impact of preoperative nutritional status indicators, including prognostic nutritional index (PNI), hemoglobin-albumin-lymphocyte-platelet (HALP) score, sarcopenia index (SI), and bone mineral density (BMD) values, on postoperative complications and survival in patients with resectable pancreatic cancer (PC).

MATERIALS AND METHODS

The medical data and computed tomography (CT) images of 85 patients who undergone surgery for PC between January 2017 and 2023 were evaluated retrospectively. Patients were grouped according to the presence or absence of sarcopenia and osteoporosis, high and low PNI and HALP scores. The groups were compared in terms of the complication development rate, 30- and 90-day mortality, and 5-years overall survival (OS). Sarcopenia and osteoporosis were determined from CT images (sarcopenia index used for sarcopenia, bone mineral density for osteoporosis).

RESULTS

Except from OS (p < 0.0001), no differences were found between sarcopenic and non-sarcopenic groups in terms of postoperative complications, 30- and 90-day mortality (p = 0.775, p = 0.704, p = 0.196, respectively). There were no differences between the groups with and without osteoporosis in terms of the presence of postoperative complications, 30- and 90-day mortality, and OS (p = 0.770, p = 0.608, p = 0.196, p = 0.09, respectively) as low and high HALP score groups (p = 0.236, p = 0.696, p = 0.299, p = 0.45, respectively). Except from a 30-day mortality (p = 0.03), no differences were found between low and high PNI groups in terms of postoperative complications, 90-day mortality, and OS (p = 0.82, p = 0.09, p = 0.18, respectively).

CONCLUSION

PNI may be used as prognostic data for early postoperative mortality, while sarcopenia may be indicative of 5-year OS in patients with resectable PC. Our results suggest that providing nutritional support may potentially improve prognosis. Future studies, in which other factors effective in prognosis are evaluated together with nutritional status, will show more information on this subject.

Associations of prognostic nutritional index with cardiovascular all-cause mortality among CVD patients with diabetes or prediabetes: evidence from the NHANES 2005-2018

Background

Immunonutritional status is linked to the prognosis of cardiovascular disease (CVD) and diabetes, but the relationship between immunonutritional disorders and clinical outcomes in CVD patients with diabetes is unclear. This study aims to investigate the association of the novel immunonutritional indicator of prognostic nutritional index (PNI) with all-cause and CVD mortality in diabetic and prediabetic CVD patients.

Method

This is an open-cohort study involving 1,509 CVD patients with diabetes or prediabetes collected from The National Health and Nutrition Examination Survey (NHANES) and initially interviewed between 2005 and 2018. Subjects were followed up until on December 31, 2019. Mortality outcomes and causes of death were obtained from National Death Index (NDI) records. We used restricted cubic spline (RCS) and maximally selected rank statistics method (MSRSM) to assess the nonlinearity of the PNI-mortality association and determine the optimal PNI cutoff for survival outcomes. Additionally, weighted multivariable Cox regression models, subgroup analyses, and interaction tests were employed to examine the relationship between PNI and all-cause and CVD mortality. The predictive accuracy of PNI for survival outcomes was evaluated using time-dependent receiver operating characteristic curve (ROC) analysis.

Results

During a median follow-up of 61 months (interquartile range, 33-103 months), 507 of the 1509 (33.60%) diabetic or prediabetic CVD patients died. A negative and nonlinear association between PNI and all-cause/CVD mortality was identified by RCS analysis in all patients. In the fully-adjusted Cox regression model, in the entire cohort, higher PNI (≥46.5) was significantly associated with reduced risks for all-cause and CVD mortality. A consistent association between PNI and all-cause/CVD mortality was observed in diabetic CVD patients, but not in prediabetic CVD patients. No significant interaction between PNI and other covariates was observed (all P interaction >0.05). Time-dependent ROC curve revealed that the areas under the curve (AUC) of PNI for 1-, 3-, 5-, and 10-year survival rates were 0.66, 0.66, 0.66, and 0.67 for all-cause mortality, and 0.72, 0.70, 0.72, and 0.69 for CVD mortality, respectively.

Conclusion

Increased PNI is significantly associated with reduced risks for all-cause and CVD mortality in diabetic or prediabetic CVD patients, especially for diabetic CVD patients.

Correlation between hemoglobin, albumin, lymphocyte, and platelet score and short-term mortality in critically ill patients

BACKGROUND

Hemoglobin, albumin, lymphocyte and platelet (HALP) score is derived from the counts of hemoglobin, albumin, lymphocytes, and platelets. It serves as a valuable tool for assessing both inflammation and nutritional status in critically ill patients. However, there hasn't been a specific study exploring the role of the HALP score in critically ill patients. Additionally, whether the HALP score exhibits an incremental effect on the Sequential Organ Failure Assessment (SOFA) score remains unknown.

METHODS

In this study, we used the Medical Information Mart for Intensive Care (MIMIC-IV) version 2.2 database to evaluate the predictive value of HALP score for critically ill patients. The primary outcome investigated was intensive care unit (ICU) death, and the secondary outcomes included in-hospital mortality, ICU length of stay (LOS), hospital LOS, and 28-day mortality.

RESULTS

We analyzed 20,083 critically ill patients. In logistic regression, a low HALP score (HALP score < 3.56) showed higher risk of ICU death (adjusted odds ratio: 1.41, 95% confidence interval [CI]: 1.25 to 1.59). Additionally, the HALP score improved the predictive ability of the SOFA score (∆Area under curve: 0.009, p < 0.001). In Cox proportional hazards models, a low HALP score (HALP score < 3.2) was also associated with a higher risk of 28-day mortality (adjusted hazard ratio: 1.52, 95% CI: 1.33 to 1.74).

CONCLUSION

HALP score is associated with short-term mortality. Additionally, HALP score showed an incremental effect on SOFA score in predicting short-term mortality.

Development of a prediction model based on Hemoglobin, Albumin, Lymphocyte count, and Platelet-score for lymph node metastasis in rectal cancer

This study aimed to evaluate the ability of the preoperative Hemoglobin, Albumin, Lymphocyte count, and Platelet (HALP) score to predict lymph node metastasis (LNM) in patients with rectal cancer (RC) and improve prediction accuracy by incorporating clinical parameters. Data from 263 patients with RC were analyzed. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value (OCV) for the HALP score in predicting LNM. Based on this cutoff value, patients were divided into two groups. A baseline analysis was conducted to identify independent factors linked to LNM. A support vector machine (SVM) prediction model was developed, and its performance was evaluated using ROC, calibration curves, decision curve analysis, and Kolmogorov-Smirnov curve. The OCV for HALP score was 45.979. Patients were then classified into a low HALP group (n = 182) and a high HALP group (n = 81). The analysis found 21 clinical factors significantly associated with LNM. Among them, the key risk factors included high inflammatory status, poor nutritional condition, and a low HALP score. The SVM model incorporated these factors and showed robust predictive performance, with area under the curve values of 0.897, 0.813, and 0.750 for the training, validation, and testing datasets, respectively. The HALP score was significantly associated with LNM in RC patients. A machine learning model integrating the HALP score and inflammatory markers may be an effective tool for predicting LNM in RC.

Hemoglobin, albumin, lymphocyte and platelet (HALP) score for predicting early and late mortality in elderly patients with proximal femur fractures

BACKGROUND

Predicting mortality and morbidity poses a significant challenge to physicians, leading to the development of various scoring systems. Among these, the hemoglobin, albumin, lymphocyte and platelet (HALP) score evaluates a patient's nutritional and immune status. The primary aim of this study was to determine the predictive effect of the HALP score on 30-day and 1-year mortality in elderly patients with proximal femoral fractures (PFFs).

MATERIALS AND METHODS

Patient demographic, clinical, laboratory, and prognostic data were obtained. The patients were categorized into two groups: survival and nonsurvival at mortality endpoints. The HALP score was calculated and compared among the groups and with other mortality biomarkers such as C-reactive protein (CRP) and C-reactive protein to albumin ratio (CAR). The ability of the HALP score to predict mortality was compared between the groups. The mortality risk was also calculated at the optimal threshold.

RESULTS

The HALP score had a statistically significant predictive effect on mortality endpoints and was lower in the non-surviving group. The ability of the HALP score to predict 1-year mortality at the optimal cut-off value (17.975) was superb, with a sensitivity of 0.66 and specificity of 0.86 (AUC: 0.826, 95% CI: 0.784-0.868). In addition, the power of the HALP score to differentiate survivors and non-survivors was more significant than that of other indices (p < 0.001). Patients with a HALP score ≤ 17.975 had a 1-year mortality risk 11.794 times that of patients with a HALP score ≥ 17.975 (Odds ratio: 11.794, 95% CI [7.194-19.338], p < 0.001).

CONCLUSION

The results indicate that the HALP score demonstrates efficacy and utility in predicting 30-day and 1-year mortality risk among elderly patients with PFFs.

Association between HALP (hemoglobin, albumin, lymphocyte, and platelet) score and poor outcomes in acute ischemic stroke patients with type 2 diabetes mellitus: a study from the Third China National Stroke Registry

Background

The combined index (HALP) of hemoglobin, albumin, lymphocytes, and platelets is considered a novel scoring system that reflects systemic inflammation and nutritional status. This study aimed to investigate the relationship between HALP scores and poor outcomes in acute ischemic stroke (AIS) patients with type 2 diabetes mellitus (DM).

Methods

Patients with AIS and type 2 DM were screened from the Third China National Stroke Registry (CNSR-III) and divided into quartiles based on their HALP scores at admission. Clinical outcomes were adverse functional outcomes (modified Rankin scale [mRS] score of 3-6 or 2-6) and all-cause mortality at 3 months and 1 year. The association of HALP with the risk of poor functional outcome and all-cause mortality were analyzed by multivariable logistic regression and Cox proportional hazards regression.

Results

A total of 3,603 patients were included in this study. After adjusting for confounders, it was found that patients in the highest HALP score quartile had lower mRS scores of 2-6 (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.51-0.80) and 3-6 (OR, 0.53; 95% CI, 0.51-0.82) at the 3-month follow-up. At the 1-year follow-up, a significant correlation was observed between HALP scores and mRS scores of 2-6 (OR, 0.65; 95%CI, 0.57-0.81) and 3-6 (OR, 0.64; 95%CI, 0.47-0.86). Additionally, the highest HALP score quartile was associated with a reduced risk of all-cause mortality at the 3-month follow-up (hazard ratio [HR], 0.35; 95%CI, 0.13-0.93). Similar results were observed at the 1-year follow-up (HR, 0.34; 95%CI, 0.18-0.63).

Conclusion

At 3 months of AIS patients with type 2 diabetes and 1-year follow-up, lower HALP scores were associated with poorer functional outcomes and all-cause mortality.

HALP (Hemoglobin, Albumin, Lymphocyte, and Platelet) Score and Its Companions in Papillary Thyroid Cancer: Can They Predict Central Lymph Node Metastasis?

Background Papillary thyroid cancer (PTC) is one of the most common cancers with a favorable prognosis. The prognosis is most commonly associated with lymph node metastasis. We investigated whether there is a relationship between the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and PTC central region lymph node metastasis in the preoperative period. NLR (neutrophil/lymphocyte ratio), PLR (platelet/lymphocyte ratio), MLR (monocyte/lymphocyte ratio), PIV (pan-immune-inflammation value), PNI (prognostic nutritional index), SII (systemic immune-inflammation index) were analyzed as other predictive factors for PTC central region lymph node metastasis. Methods The data of 235 patients who were operated on for PTC and underwent additional central neck dissection in our clinic were analyzed retrospectively. The effect of the HALP score, NLR, PLR, MLR, PIV, PNI, and SII values on PTC central region lymph node metastasis was analyzed with univariate and multiple logistic regression analyses. Results The HALP score, NLR, PLR, MLR, PIV, PNI, and SII had no statistically significant effect on the number of positive lymph nodes in the central region, lymphatic invasion, vascular invasion, extra-thyroidal invasion in PTC (p>0.050 for each). For PTC, stage progression was associated with a decrease in preoperative PNI (OR=0.871; p=0.019). Conclusion There was a significant negative correlation between PNI and the stage of the PTC. No significant correlation was found between the HALP score and prognostic predictors of papillary PTC central lymph node metastasis. This may be related to the fact that PTC is a type of cancer that does not affect biochemical parameters much.

The use of platelets as a clinical tool in oncology: opportunities and challenges

Platelets are small circulating anucleated cells mainly involved in thrombosis and hemostasis processes. Moreover, platelets play an active role in tumorigenesis and cancer progression, stimulating angiogenesis and vascular remodelling, and protecting circulating cancer cells from shear forces and immune surveillance. Several reports indicate that platelet number in the blood circulation of cancer patients is associated with prognosis and response to treatment. However, the mechanisms of platelets "education" by cancer cells and the crosstalk between platelets and tumor are still unclear, and the role of "tumor educated platelets" (TEPs) is achieving growing interest in cancer research. TEPs are a biological source of cancer-derived biomarkers, especially RNAs that are protected by platelets membrane from circulating RNases, and could serve as a non-invasive tool for tumor detection, molecular profiling and evolution during therapy in clinical practice. Moreover, short platelet lifespan offers the possibility to get a snapshot assessment of cancer molecular profile, providing a real-time tool. We review and discuss the potential and the clinical utility, in terms of cancer diagnosis and monitoring, of platelet count together with other morphological parameters and of the more recent and innovative TEP profiling.

Prognostic significance of hemoglobin, albumin, lymphocyte and platelet score in solid tumors: a pooled study

Objective

The high hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been reported to be a good prognostic indicator for several malignancies. However, more evidence is needed before it can be introduced into clinical practice. Here, we systematically evaluated the predictive value of HALP for survival outcomes in patients with solid tumors.

Methods

This study was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Assessing the Methodological Quality of Systematic Reviews (AMSTAR) Guidelines. In March 2024, an electronic literature search was performed for articles regarding the prognostic role of HALP in solid tumors. Data from studies with reported risk ratios (HRs) and 95% confidence intervals (CIs) were pooled in a meta-analysis. Study bias was assessed using the QUIPS tool.

Results

Of the 729 articles reviewed, 45 cohorts including data from 17,049 patients with cancer were included in the pooled analysis. The pooled results demonstrated that elevated HALP score was significantly associated with favorable overall survival (HR = 0.60, 95% CI 0.54-0.67, p < 0.01), cancer-specific survival (HR = 0.53, 95% CI 0.44- 0.64, p < 0.01), progression-free survival (HR = 0.62, 95% CI 0.54-0.72, p < 0.01), recurrence-free survival (HR = 0.48, 95% CI 0.30-0.77, p < 0.01), and disease-free survival (HR = 0.72, 95% CI 0.57-0.82, p < 0.01). Subgroup analyses based on various confounding factors further revealed the consistent prognostic impact of HALP on overall survival in patients with solid tumors.

Conclusions

Our findings suggest that high HALP is associated with better survival outcomes in patients. The HALP score is a potential prognostic biomarker in solid tumors, but it needs to be further studied whether it can improve the established prognostic model.

Serum hemoglobin and albumin levels serve as prognostic predictors after adrenal metastasectomy

PURPOSE

Adrenal metastasectomy is a common local treatment for adrenal metastases, with a lack of serum prognostic factors. Here, we identified the prognostic significance of preoperative hemoglobin and albumin levels in patients undergoing adrenal metastasectomy.

MATERIALS AND METHODS

Data from 93 patients who underwent adrenal metastasectomy were assessed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of hemoglobin and albumin for survival. Overall survival (OS) and disease-free survival (DFS) were evaluated using the Kaplan-Meier method, thereafter Cox regression models and subgroup analyses were applied to adjust confounding factors. A risk stratification developed by joint use of serum hemoglobin and albumin levels was also tested.

RESULTS

Optimal cut-off points were 130.5 g/L and 44.8 g/L for hemoglobin and albumin, respectively. Multivariate Cox regression analysis identified decreased hemoglobin (HR [95% CI]: 0.41 [0.18-0.91], P = 0.029) and albumin (HR [95% CI]: 0.12 [0.02-0.88], P = 0.038) levels as independent factors for poorer OS. Patient with both decreased hemoglobin and albumin levels had the worst OS (P = 0.001) and DFS (P = 0.001) than other risk groups. Subgroup analyses proved decreased hemoglobin and albumin levels predicted poorer OS independent of cancer types.

CONCLUSIONS

Preoperative hemoglobin and albumin levels may serve as prognostic predictors after adrenal metastasectomy. A prognostic model that combines hemoglobin and albumin can improve accuracy in predicting patient outcomes and be easily implemented in clinical practice.

Prognostic value of immunotherapy in advanced NSCLC based on baseline and dynamic changes in HALP

Immune checkpoint inhibitors (ICIs) enhance the tumor-killing ability of T-cells in non-small cell lung cancer (NSCLC), improving overall survival (OS) and revolutionizing treatment for advanced stages. However, challenges remain, such as low response rates and the lack of effective markers for selecting candidates. This study evaluated the impact of hemoglobin, albumin, and platelet (HALP), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) on the efficacy of immunotherapy and survival outcomes in advanced NSCLC. Additionally, it aimed to develop a nomogram based on these parameters. Clinical and hematological data from NSCLC patients who received immunotherapy were analyzed. Efficacy was assessed using the immune Response Evaluation Criteria in Solid Tumors (iRECIST), and progression-free survival (PFS) and OS were evaluated. Prediction models incorporated baseline and post-treatment HALP, NLR, and PLR values. The 203 patients had a median follow-up of 16 months, a median PFS (mPFS) of seven months (6.0-8.0), while the median OS (mOS) was not reached (24.0-not available). Pretreatment PLR (PLR0) was associated with a higher disease control rate (DCR) (odds ratio [OR] = 0.258), while initial immunotherapy and NLR after four treatment cycles (NLR4C) significantly improved the objective response rate (ORR). Cox regression analysis showed that pretreatment HALP (HALP0), HALP after four cycles of treatment (HALP4C), and pretreatment NLR (NLR0) significantly impacted PFS. Additionally, HALP0, NLR0, and PLR after four treatment cycles (PLR4C) were associated with OS. The C-indices for PFS and OS were 0.823 and 0.878, respectively, indicating good predictive accuracy. HALP, NLR, and PLR at various time points effectively predicted immunotherapy response in advanced NSCLC patients, with low HALP combined with high NLR and PLR indicating a poor prognosis. These findings could serve as the basis for stratified randomized controlled trials (RCTs) in the future.

Prognostic value of the HALP score in metastatic castration-resistant prostate cancer: an analysis combined with time to castration resistance

Objective

The aim of our study was to assess the impact of the combination of HALP score with TTCR score on OS and PFS in PC patients who developed castration resistance.

Patients and methods

The study enrolled 152 patients with metastatic disease who had received either ARTAs or docetaxel as first-line treatment. The median cut-off was 30.83 months for the HALP score and 16.1 months for TTCR determined by ROC analysis. Based on these cut-off values, patients were categorized into low-high HALP score and TTCR <16.1 months-TTCR ≥16.1 months groups. The combination of HALP score and TTCR was then stratified by risk into three new groups: Factor 0, Factor 1, and Factor 2.

Results

PFS was significantly shorter in the TTCR <16.1 months group compared to the TTCR ≥16.1 months group, as well as in the low-HALP score group compared to the high-HALP score group. Furthermore, as the number of factors increased, a significant increase in OS and PFS was observed in the groups formed by the combination of HALP score and TTCR.

Conclusion

We have validated the predictive capability of combining low HALP score (<30.38) and short TTCR (<16.1 months) parameters in estimating the OS and PFS durations of mCRPC patients, both recognized as unfavorable prognostic indicators.

Negative association of C-reactive protein-albumin-lymphocyte index (CALLY index) with all-cause and cause-specific mortality in patients with cancer: results from NHANES 1999-2018

BACKGROUND

The CALLY index, which is derived from C-reactive protein (CRP) content, serum albumin level, and total lymphocyte count, reflects the immune, nutritional, and inflammatory status of the body. Lack of sufficient evidence on the correlation between the CALLY index and the prognosis of cancer patients with various cancer forms. This study seeks to elucidate the association between the CALLY index and mortality from all causes as well as specific causes in cancer patients within a U.S.

POPULATION

METHODS

This investigation encompassed 3511 cancer-afflicted adults from the National Health and Nutritional Examination Surveys (NHANES) spanning 1999 to 2018. The CALLY index was measured at baseline only. The relationship between the CALLY index and mortality from both all causes and cancer specifically was examined using Cox proportional hazards models. Additionally, restricted cubic spline, piecewise linear regression, and various subgroup and sensitivity analyses were employed.

RESULTS

Over a median follow-up of 103 months, 1,355 deaths occurred, and the incidence of all-cause mortality for these participants was 38.34%. Our findings indicate that an elevated CALLY index correlates with a diminished risk of all-cause mortality. Upon applying a natural logarithmic transformation to the CALLY index, the comprehensively adjusted model revealed that each one-unit increment in ln CALLY corresponded to a 18% decrease in all-cause mortality risk among cancer patients (HR = 0.82, 95% CI:0.79-0.86). Analyses of mortality due to cardiac and cancer-related causes yielded consistent results, which were robust across various subgroup and sensitivity analyses.

CONCLUSION

The CALLY index demonstrated a linear and negative association with all-cause mortality, as well as mortality caused by cancer and cardiac conditions, highlighting its significant prognostic value in patients with oncological conditions.

Is the hemoglobin, albumin, lymphocyte, and platelet (HALP) score a novel biomarker for predicting mortality in patients with middle cerebral artery infarctions undergoing mechanical thrombectomy?

BACKGROUND

The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, easily calculated parameter, indicating systemic inflammation and nutritional status INTRODUCTION: In this study, we used the HALP score in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy (MT) to predict 90-day mortality.

METHOD

122 patients with AIS who underwent either MT or MT and tissue plasminogen activator (tPA) for middle cerebral artery (MCA) M1 occlusion. The HALP score was calculated, demographic data, modified Rankin Scale (mRS) score, and mortality status in retrospectively reviewed. The effectiveness of the HALP score in predicting mortality within 90 days was assessed using the receiver operating characteristic ( ROC) curves. The optimal cutoff value for HALP was 13.10.

RESULTS

A HALP score <13.10 increased the risk of death within 90 days and was associated with a higher incidence of large artery thrombosis. Cardioembolism and hyperlipidemia were more common in patients with high (>13) HALP scores. In addition to the HALP score, the length of hospital stay, 24-h National Institutes of Health Stroke Scale score (NIHSS), number of days of intubation, acute physiologic assessment and chronic health evaluation (APACHE) II score, and symptom-to-groin time were statistically significant risk factors for mortality within 90 days.

DISCUSSION

The HALP score is an easily calculated, inexpensive, and noninvasive parameter that can be used to predict mortality in patients with MCA M1 occlusion undergoing reperfusion therapy. Low HALP scores indicate a poor prognosis. Thus, there is a relationship between the HALP score and survival.

The preoperative hemoglobin, albumin, lymphocyte, and platelet score (HALP) as a prognostic indicator in patients with non-small cell lung cancer

Background

The Hemoglobin, Albumin, Lymphocyte, and Platelet score (HALP) is an inflammatory nutrition-related biomarker based on hemoglobin and albumin levels, as well as the lymphocyte and platelet load index, which has been reported to be associated with the prognosis of various types of tumors. This study aims to investigate the prognostic value of HALP in patients with non-small cell lung cancer (NSCLC).

Methods

A total of 2,428 patients with NSCLC were enrolled in the INSCOC study. Time-patient survival trends were validated using Kaplan-Meier curves and log-rank tests. The Restricted Cubic Spline function was used to analyze the relationship between the HALP index and overall survival (OS). The Cox regression model was used for univariate and multivariate analyses.

Results

The study included 2,053 patients with detailed biological information and follow-up data, consisting of 1,346 men (65.6%) and 707 women (34.4%). Within this cohort, 138 patients (6.7%) had stage I disease, 282 (13.7%) had stage II, 477 (23.2%) had stage III, and 1,156 (56.3%) had stage IV. A total of 536 patients (26.1%) underwent surgery, 1,494 (72.8%) received chemotherapy, and 271 (13.2%) received radiotherapy. The 1-, 2-, 3-, and 5-year survival rates for patients with NSCLC were 68.6, 48.6, 37.4, and 30.9%, respectively. The optimal cut-off for HALP was determined to be 29.71, with a sensitivity of 53.1% and specificity of 62.9%, leading to the categorization of patients into low (<29.71) (n = 963) and high (≥29.71) (n = 1,090) HALP groups. Patients with a high HALP demonstrated a significantly higher 5-year overall survival (OS) rate compared to those with a low HALP (38% vs. 23%, p < 0.001). Multivariable Cox proportional hazards regression analysis identified that low HALP was an independent risk factor for the survival of patients with non-small cell lung cancer.

Conclusion

The HALP index can be used as an independent prognostic factor for patients with NSCLC, offering clinicians a reference to identify high-risk patient with poor long-term prognoses and improve individualized treatment.

Impact of preoperative haemoglobin, albumin, lymphocyte, and platelet score on oral cancer prognosis

OBJECTIVE

To evaluate the preoperative haemoglobin, albumin, lymphocyte, and platelet score as a prognostic indicator in oral squamous cell carcinoma treated by radical surgery.

SUBJECTS AND METHODS

Patients (83 men, 32 women; 65.80 ± 11.47 years) who underwent radical surgery between 2012 and 2022 were included. Factors affecting overall survival and disease-free survival according to the haemoglobin, albumin, lymphocyte, and platelet score were examined. Patients were categorised into low- and high-score groups using optimal cut-off values obtained from receiver operating characteristic curve analysis.

RESULTS

The low-score group had poorer overall and disease-free survival (p < 0.001 each). Multivariate analysis identified alcohol consumption (hazard ratio [HR], 3.83; 95% confidence interval [CI]: 1.56-9.41, p = 0.003); vascular invasion (HR, 3.97; 95% CI: 1.60-9.85, p = 0.003); and the haemoglobin, albumin, lymphocyte, and platelet score (HR, 0.39; 95% CI: 0.20-0.78, p = 0.007) as independent prognostic factors for overall survival and vascular (HR, 3.66; 95% CI: 1.79-7.50, p < 0.001) and lymphovascular (HR, 2.44; 95% CI: 1.36-4.41, p = 0.003) invasion as independent prognostic factors for disease-free survival.

CONCLUSION

The preoperative haemoglobin, albumin, lymphocyte, and platelet score may be a significant prognostic factor for patients with oral squamous cell carcinoma undergoing radical surgery.

Correlation of hemoglobin, albumin, lymphocyte, and platelet score with prognosis in patients with stage III squamous lung cancer

Background

Among cancers, lung cancer has the second highest incidence rate and the highest mortality rate in the world. Identifying suitable biomarkers to assist in the prognostic prediction of lung cancer is crucial for developing individualized treatment plans. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been applied to predict patient prognosis across a variety of cancers. This study aimed to investigate the predictive value of the HALP score for the prognosis of patients with stage III squamous cell lung cancer.

Methods

The clinical data of patients with stage III squamous lung cancer who had undergone radical radiotherapy at the Department of Radiotherapy of The Fourth Hospital of Hebei Medical University from January 2011 to December 2020 were retrospectively analyzed. The optimal cutoff values for continuous variables were determined using X-Tile software. A Cox proportional hazards model was used for univariate and multivariate analysis, the Kaplan-Meier method was used for survival analysis, and log-rank test was used to check for differences.

Results

A total of 206 patients were included in this study, and the cutoff value for the HALP score was 24.3. There were statistically significant differences between the high- and low-HALP-score groups in terms of alcohol consumption history, tumor-node-metastasis (TNM) stage, prognostic nutritional index (PNI) score, and systemic immune-inflammation index (SII) score. The median overall survival (OS) was 11.0 and 22.0 months in the low- and high-HALP-score groups, respectively (P<0.001), and the median progression-free survival (PFS) was 8.0 and 13.0 months, respectively (P=0.002). Univariate analysis showed that a low HALP score was significantly associated with OS [hazard ratio (HR) =1.698, 95% confidence interval (CI): 1.261-2.286; P<0.001] and PFS (HR =1.584, 95% CI: 1.176-2.132; P=0.002) in patients with stage III lung squamous carcinoma, while the multivariate analysis showed that a low HALP score was the most important factor in OS (HR =1.538, 95% CI: 1.137-2.079; P=0.005) and PFS (HR =1.399, 95% CI: 1.033-1.895; P=0.03) as independent predictors of poor prognosis.

Conclusions

In patients with stage III squamous cell lung cancer treated with radical radiotherapy, low baseline HALP score is associated with its poorer OS and PFS and may thus be valuable prognostic factor.

Can maternal inflammatory and nutritional status, evaluated by the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI) in the first trimester, predict late-onset fetal growth restriction?

OBJECTIVE

The aim of this study was to evaluate the potential of immunonutritional markers, specifically the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI), in predicting late-onset fetal growth restriction (LO-FGR) during the first trimester.

MATERIALS AND METHODS

This retrospective study was conducted at a tertiary care center between October 2022 and August 2023. The study included a total of 213 singleton pregnancies, with 99 women in the LO-FGR group and 114 in the healthy control group, matched by maternal age and gestational age at delivery. All blood samples were collected between 11 and 14 weeks of gestation (during the first-trimester screening test). We analyzed first-trimester laboratory parameters, specifically focusing on hemoglobin levels, white blood cells (WBCs), lymphocytes, platelets, and albumin levels. Afterwards, we calculated the HALP score and PNI, and then compared the values of both groups.

RESULTS

Both HALP score (3.58 ± 1.31 vs. 4.19 ± 1.8, p = 0.012) and PNI (36.75 ± 2.9 vs. 39.37 ± 3.96, p < 0.001) were significantly lower in the FGR group than in the control group. The HALP score cut-off value of < 3.43 in predicting FGR had a sensitivity of 62.3% and specificity of 54.5% (AUC = 0.600, 95% CI: 0.528-0.672, p = 0.012). The PNI cut-off value of < 37.9 in predicting FGR had a sensitivity of 65.8% and specificity of 62.9% (AUC = 0.707, 95% CI: 0.632-0.778, p < 0.001). While the HALP score was not a significant predictor of composite adverse neonatal outcomes in the FGR group, PNI showed a cut-off value of < 37.7 with a sensitivity of 60.9% and specificity of 59.7% (AUC = 0.657, 95% CI: 0.581-0.733, p < 0.001).

CONCLUSION

The HALP score and PNI are valuable prognostic tools for predicting the risk of FGR in the first trimester. Low PNI values are also associated with composite adverse neonatal outcomes in pregnancies complicated by FGR.

The Utility of Immuno-Nutritional Scores in Patients with Testicular Germ Cell Tumors

BACKGROUND

Hemoglobin, Albumin, Lymphocyte, and Platelet Score (HALP) is an accessible score that is easily reproducible from routine laboratory testing while also reflecting patients' immune-nutritional status. Along with other immuno-nutritional scores, such as the Prognostic Nutrition Index (PNI), HALP has been associated with a number of clinical and pathological features. The goal of our study was to evaluate the prognostic utility of HALP and PNI scores in testicular germ cell cancer (GCT) patients.

METHODS

This case-only study included 203 testicular GCT patients who were classified according to the disease stage and HALP and PNI cut-offs. Complete blood count and albumin concentration were routinely determined.

RESULTS

The values of HALP and PNI significantly differed among different clinical stages (p < 0.05). Moreover, they clearly exposed a significantly higher risk of advanced clinical stage development for those testicular GCT patients with lower values of HALP and PNI (p < 0.05). Finally, lower score levels were associated with larger tumor size (p < 0.05).

CONCLUSION

Our investigation could provide evidence that specific immune-nutritional scores can help distinguish individuals diagnosed with testicular GCT who are more likely to be identified with advanced disease stages.

Exploring the J-shaped relationship between HALP score and mortality in cancer patients: A NHANES 1999-2018 cohort study

Background

The recent hemoglobin, albumin, lymphocyte, and platelet (HALP) scores, combined with various clinically available indicators, can comprehensively evaluate the nutritional and immune status of patients. Some observational studies have found a positive correlation between HALP score and cancer prognosis, but the clinical application of HALP score has raised concerns due to the presence of confounding factors. The aim of this study is to explore the relationship between HALP score and long-term mortality in cancer patients.

Methods

We extracted 3832 cancer patients with complete baseline information from the National Health and Nutrition Examination Survey (NHANES). The COX regressions and restricted cubic spline (RCS) curves were used to explore the nonlinear relationship between HALP score and long-term mortality risk in cancer patients. Kaplan-Meier (K-M) curve was conducted to evaluate the impact of HALP score on long-term mortality risk. Additionally, subgroup analysis was conducted to verify the stability of the above results.

Results

We divided participants into 4 groups based on HALP score, and the COX regression results showed that risk of long-term mortality tended to be lower in cancer patients with high HALP scores. Meanwhile, the RCS curves showed that there was a nonlinear association. The results remained stable in subgroup analyses and in breast cancer, colorectal cancer, cervix and uterus cancer, melanoma, prostate cancer and skin cancer.

Conclusions

HALP score were independently associated with the risk of long-term mortality in cancer patients, and there is also a non-linear association. This will provide new perspectives on clinical and nutritional interventions for cancer patients.

A nomogram based on inflammation and nutritional biomarkers for predicting the survival of breast cancer patients

Background

We aim to develop a new prognostic model that incorporates inflammation, nutritional parameters and clinical-pathological features to predict overall survival (OS) and disease free survival (DFS) of breast cancer (BC) patients.

Methods

The study included clinicopathological and follow-up data from a total of 2857 BC patients between 2013 and 2021. Data were randomly divided into two cohorts: training (n=2001) and validation (n=856) cohorts. A nomogram was established based on the results of a multivariate Cox regression analysis from the training cohorts. The predictive accuracy and discriminative ability of the nomogram were evaluated by the concordance index (C-index) and calibration curve. Furthermore, decision curve analysis (DCA) was performed to assess the clinical value of the nomogram.

Results

A nomogram was developed for BC, incorporating lymphocyte, platelet count, hemoglobin levels, albumin-to-globulin ratio, prealbumin level and other key variables: subtype and TNM staging. In the prediction of OS and DFS, the concordance index (C-index) of the nomogram is statistically greater than the C-index values obtained using TNM staging alone. Moreover, the time-dependent AUC, exceeding the threshold of 0.7, demonstrated the nomogram's satisfactory discriminative performance over different periods. DCA revealed that the nomogram offered a greater overall net benefit than the TNM staging system.

Conclusion

The nomogram incorporating inflammation, nutritional and clinicopathological variables exhibited excellent discrimination. This nomogram is a promising instrument for predicting outcomes and defining personalized treatment strategies for patients with BC.

Correlation of Hemoglobin, Albumin, Lymphocyte, and Platelets (HALP) Score With Outcome of Acute Ischemic Stroke

BACKGROUND

Acute ischemic stroke (AIS) stands as a primary cause of both mortality and enduring disability. Given its significant impact on public health, efforts are ongoing to improve prognostic instruments and treatment approaches for this illness. In recent years, attention has been drawn towards the exploration of novel indicators of hemoglobin, albumin, lymphocyte, and platelets (HALP) that measure systemic inflammation and nutritional status. This study aims to investigate the relationship between the HALP score and the outcome of an acute ischemic stroke.

METHODOLOGY

This prospective observational study was conducted at a tertiary care hospital, with approval from the Institutional Ethical Committee. A total of 100 AIS patients were enrolled in the study, and their demographic details were collected. Within 24 hours of stroke onset, laboratory tests were performed, including measurements of albumin, hemoglobin, lymphocytes, and platelet count. The HALP scores of these patients were recorded. The severity of AIS was assessed using the National Institutes of Health Stroke Scale (NIHSS) upon admission.

RESULTS

This study comprised 100 patients, with 66% and 44% being male and female, respectively, with a standard deviation of age 63. Following 28 days of in-hospital care and a 90-day outpatient follow-up, 16 patients were categorized as the non-survival group. The results showed a significant difference in hemoglobin values in the admitted groups (p = 0.04). Lymphocyte counts were higher in survivors compared to non-survivors with non-significant (p = 0.105). Furthermore, the HALP score of survivors is (a median of 34.0) and for non-survivors is (a median of 24.0), which showed a significant difference with a p-value of 0.022 and is statistically significant.  Conclusion: Lower HALP score is associated with increased mortality in stroke patients. The HALP score emerges as a potentially valuable predictor of mortality in critically ill patients. This underscores the importance of considering the HALP score in prognostic assessments and treatment decisions for individuals affected by stroke.

Hemoglobin, albumin, lymphocytes and platelets (HALP) score as a predictor of survival in patients with glioblastoma (GBM)

BACKGROUND

We aimed to investigate whether the HALP score was a predictor of survival in patients with Glioblastoma (GBM).

METHODS

A total of 84 Glioblastoma (GBM) patients followed in our clinic were included in the study. HALP scores were calculated using the preoperative hemoglobin, albumin, lymphocyte and platelet results of the patients. For the HALP score, a cut-off value was found by examining the area below the receiver operating characteristic (ROC) curve. Patients were divided into two groups as low and high according to this cut-off value. The relationships among the clinical, dermographic and laboratory parameters of the patients were examined using these two groups.

RESULTS

Median OS, PFS, HALP score, NLR, PLR were 15 months (1.0-78.0), 8 months (1.0-66.0), 37.39 ± 23.84 (min 6.00-max 132.31), 4.14, 145.07 respectively. A statistically significant correlation was found between HALP score and OS, PFS, NLR, PLR, ECOG-PS status using Spearman's rho test (p = 0.001, p < 0.001, p < 0.001, p < 0.001, p = 0.026 respectively). For the HALP score, a cut-off value of = 37.39 (AUC = 0.698, 95% CI, p < 0.002) was found using ROC analysis. Median OS was 12 (6.99-17.01) months in the low HALP group and 21 (11.37-30.63) months in the high HALP group (p = 0.117). NLR and PLR were significantly lower in the HALP high group (p < 0.001, p < 0.001 respectively). The ratio of receiving treatment was significantly higher in the high HALP group (p < 0.05). In Multivariate analysis, significant results were found for treatment status and ECOG-PS status (p < 0.001, p = 0.038 respectively).

CONCLUSIONS

The HALP score measured at the beginning of treatment seems to have predictive importance in the prognosis of GBM patients. A HALP score of > 37.39 was associated with prolonged survival in high-grade brain tumors.

Nomogram for predicting overall survival of metastatic pancreatic cancer patients based on HBV infection and inflammatory-nutritional biomarkers

Purpose

To develop and validate a nomogram for predicting the overall survival of patients with metastatic pancreatic cancer.

Methods

This retrospective study included 236 patients with metastatic pancreatic cancer treated at Guangxi Medical University Cancer Hospital between October 2013 and October 2022. Patients were grouped according to hepatitis B virus (HBV) infection status. Cox proportional hazard regression was used to identify the prognostic factors independently associated with overall survival. Results were used to build a nomogram, which was assessed through internal validation using bootstrap resampling.

Results

Patients in the HBV-positive group (N = 37) showed significantly better overall survival than those in the HBV-negative group (N=199; P = 0.014). Overall survival was independently associated with the following factors: HBV infection status, sex, chemotherapy, metastatic sites, a combined index of hemoglobin, albumin, lymphocytes, and platelets, neutrophil-albumin ratio, as well as levels of CA125. The nomogram showed good predictive power, with an area under the curve of 0.808 for the time-dependent receiver operating characteristic. Calibration and decision curve analyses indicated good calibration and clinical usefulness of the nomogram for predicting the overall survival of patients with metastatic pancreatic cancer.

Conclusion

A nomogram based on the HBV infection status and inflammatory nutritional markers may help predict the overall survival of patients with metastatic pancreatic cancer and guide personalized clinical treatment.

The Onset of Antinuclear Antibodies (ANAs) as a Potential Risk Factor for Mortality and Morbidity in COVID-19 Patients: A Single-Center Retrospective Study

The immune system's amplified response to SARS-CoV-2 may lead to the production of autoantibodies, but their specific impact on disease severity and outcome remains unclear. This study aims to assess if hospitalized COVID-19 patients face a worse prognosis based on ANA presence, even without autoimmune diseases. We performed a retrospective, single-center, observational cohort study, enrolling 638 COVID-19 patients hospitalized from April 2020 to March 2021 at Hospital "Policlinico Riuniti" of Foggia (Italy). COVID-19 patients with a positive ANA test exhibited a significantly lower 30-day survival rate (64.4% vs. 83.0%) and a higher likelihood of severe respiratory complications during hospitalization than those with negative ANA screening (35.4% vs. 17.0%) (p < 0.001). The association between poor prognosis and ANA status was identified by calculating the HALP score (Hemoglobin-Albumin-Lymphocyte-Platelet), which was lower in COVID-19 patients with a positive ANA test compared to ANA-negative patients (108.1 ± 7.4 vs. 218.6 ± 11.2 AU; p < 0.011). In detail, COVID-19 patients with a low HALP showed a lower 30-day survival rate (99.1% vs. 83.6% vs. 55.2% for high, medium, and low HALP, respectively; p < 0.001) and a higher incidence of adverse respiratory events compared to those with high and medium HALP (13.1% vs. 35.2% vs. 64.6% for high, medium, and low HALP, respectively; p < 0.001). In summary, ANA positivity in COVID-19 patients appears to be linked to a more aggressive disease phenotype with a reduced survival rate. Furthermore, we propose that the HALP score could serve as a valuable parameter to assess prognosis for COVID-19 patients.

Predictive role of Naples prognostic score for survival in esophageal cancer: A meta-analysis

BACKGROUND

To further clarify the predictive value of pretreatment Naples prognostic score (NPS), calculating based on the serum albumin concentration, total cholesterol level, neutrophil to lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR), among esophageal cancer patients based on available evidence.

METHODS

The PubMed, EMBASE, Web of Science and CNKI databases were searched up to December 1, 2023 for relevant studies. Overall survival (OS), progression-free survival (PFS) and cancer-specific survival (CSS) were endpoints and the hazard ratio (HR) with 95% confidence interval (CI) was combined to evaluate the predictive role of NPS for survival. Subgroup analysis based on pathological type and treatment were further conducted.

RESULTS

Ten retrospective studies with 2250 cases were included in our analysis. Pooled results demonstrated that higher pretreatment NPS predicted poorer OS (HR = 2.24, 95% CI: 1.57-3.20, P < .001), PFS (HR = 3.03, 95% CI: 1.84-4.98, P < .001) and CSS (HR = 2.90, 95% CI: 1.80-4.68, P < .001). Then subgroup analysis for the OS and PFS stratified by the pathological type (squamous cell carcinoma vs esophageal cancer) and treatment (surgery vs non-surgery) were further conducted, which showed similar results.

CONCLUSION

Pretreatment NPS is significantly associated with prognosis in esophageal cancer and higher NPS predicts worse survival among patients with esophageal cancer.

The L-shape relationship between hemoglobin, albumin, lymphocyte, platelet score and the risk of diabetic retinopathy in the US population

Background

The primary aim of this study was to investigate the correlation between diabetic retinopathy (DR) and the HALP score (hemoglobin, albumin, lymphocyte, and platelet) in individuals with diabetes within the United States population.

Methods

This cross-sectional investigation was based on the National Health and Nutrition Examination Survey (NHANES) database from 2003-2018. The following module calculated the HALP score: HALP score = [lymphocytes (/L) × hemoglobin (g/L) × albumin (g/L)]/platelets (/L). By performing the receiver operating characteristic (ROC) analysis, the optimal cutoff value of HALP was ascertained. Restricted cubic splines (RCS), multivariable logistic regression analysis, sensitivity analysis, and subgroup analysis were conducted to evaluate the effect of the HALP score on DR patients. Finally, the decision curve analysis (DCA) and clinical impact curve (CIC) were conducted to estimate the predictive power and clinical utility of the HALP score with clinical indicators.

Results

According to the cutoff value (42.9) determined by the ROC curve, the participants were stratified into a lower HALP group (HALPlow) and a higher HALP group (HALPhigh). An L-shaped relationship between HALP score and DR risk was presented in the RCS model (P for nonlinearity <0.001). The DR risk sharply decreased with the increase of HALP, and the decline reached a plateau when HALP was more than 42.9. After fully adjustment, the multivariate logistic regression analysis found that HALPlow was an independent risk factor for DR (OR = 1.363, 95% CI: 1.111-1.671, P < 0.001). Besides, sensitivity analysis showed consistent results. Furthermore, the combination of HALP score and clinical indicators demonstrated predictive power and clinical utility, as shown by the ROC curve, DCA, and CIC.

Conclusion

The HALP score has an L-shaped correlation with the risk of DR, and thus, the HALP score may contribute to the timely intervention of diabetes patients.

Predictive value of the HALP score for pre-eclampsia with severe features

INTRODUCTION

Predictive tests are needed to ensure the development and subsequent follow-up of pre-eclampsia, which is responsible for significant rates of morbidity and mortality during pregnancy. This study aimed to evaluate the predictive value of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score for the severity of preeclampsia.

METHODS

We retrospectively analyzed the data of women diagnosed with pre-eclampsia at our clinic from January 2019 to January 2023. The control group consisted of normotensive, healthy pregnant women. Women diagnosed with preeclampsia were further evaluated in two groups: those with severe features and those without severe features. The clinical and demographic data of the cases were evaluated. The HALP score was calculated using the first trimester blood parameters of the cases and compared between groups.

RESULTS

The study included 229 patients with preeclampsia and 142 normotensive healthy controls. Of the patients with preeclampsia, 104 (28.1%) had severe features of the disease. The HALP score was significantly higher in the preeclampsia group with severe features than in the control group (6.18 ± 2.66 vs. 3.75 ± 1.86; p = 0.006). In multivariate logistic regression analysis, the HALP score (odds ratio: 2.02, 95% confidence interval: 1.10-3.32, p = 0.017) was found to be an independent indicator for preeclampsia with severe features. A HALP score of > 4.61 predicted the development of preeclampsia with severe features with a sensitivity of 74.5% and a specificity of 81.3%.

CONCLUSION

We found a significant correlation between the HALP score and preeclampsia with severe features. The HALP score may be useful in predicting the severity of preeclampsia.

Association between haemoglobin, albumin, lymphocytes, and platelets and mortality in patients with heart failure

AIMS

The combination of haemoglobin, albumin, lymphocytes, and platelets (HALP) is a new metric used to assess patient prognosis in many diseases. This study aimed to assess the relationship between HALP and short- and long-term mortality in patients with heart failure.

METHODS AND RESULTS

This retrospective cohort study included adult patients with heart failure who were hospitalized between 2019 and 2021. The primary outcomes were 1-month mortality and 1-year mortality. The multivariable logistic regression analysis was used to evaluate the association between HALP and the risk of mortality. Stratified analyses were conducted based on New York Heart Association functional classification (NYHA) stage (II/III, IV) and left ventricular ejection fraction (LVEF, <50%, ≥50%). The area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of HALP, prognostic nutritional index (PNI), C-reactive protein (CRP), and the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score in predicting mortality in patients with heart failure. A total of 730 patients with heart failure were included, of whom 61 (8.36%) died within 1 month and 77 (10.55%) died within 1 year. High HALP scores were associated with a reduced risk of 1-month mortality (odds ratio (OR) = 0.978, 95% confidence interval (CI): 0.963-0.992, P = 0.003) and 1-year mortality (OR = 0.987, 95% CI: 0.977-0.997, P = 0.009) in patients with heart failure. In patients with different NYHA stages or LVEF levels, high HALP scores were correlated with a reduced risk of 1-year mortality in patients with NYHA stage II/III (OR = 0.978, 95% CI: 0.957-1.000, P = 0.045) or LVEF ≥50% (OR = 0.970, 95% CI: 0.945-0.996, P = 0.024). The AUC for HALP, PNI, CRP, and MAGGIC-HF to predict 1-year mortality in patients with heart failure were 0.677 (95% CI: 0.619-0.735), 0.666 (95% CI: 0.608-0.723), 0.638 (95% CI: 0.572-0.704), and 0.654 (95% CI: 0.591-0.717), respectively.

CONCLUSIONS

HALP may be a potential marker for predicting mortality in patients with heart failure. Further exploration based on HALP may yield better clinical predictors of prognosis in patients with heart failure.

Predictive value of serum albumin levels on cancer survival: a prospective cohort study

Background

Serum albumin levels and cancer mortality are closely related, yet large-sample studies encompassing a broad spectrum of cancer types are lacking.

Methods

This study encompassed patients diagnosed with cancer across the continuous 10 cycles of NHANES surveys from 1999 to 2018. The study population was stratified into two groups based on median albumin levels (≤ 4.2g/dL and > 4.2 g/dL) or cancer aggressiveness (well-survived cancers and poorly-survived cancers). Survival rates were estimated using the Kaplan-Meier method. The Cox proportional hazards model was employed to evaluate the association between serum albumin levels and cancer mortality. Restricted cubic spline (RCS) analysis was conducted to assess the nonlinear relationship between serum albumin levels and the risk of cancer mortality.

Results

Kaplan-Meier curves demonstrated that patients with albumin levels ≤ 4.2 g/dL exhibited lower survival rates compared to those with levels > 4.2 g/dL, irrespective of cancer aggressiveness. Following adjustment for confounders, decreased albumin levels were associated with an elevated risk of cancer mortality across all groups [all cancers, HR (95%CI) = 2.03(1.73, 2.37); well survived cancers, HR (95%CI) = 1.78(1.38, 2.32); and poorly survived cancers, HR (95%CI) = 1.99(1.64, 2.42)]. RCS analyses revealed a stable nonlinear negative association between albumin levels and cancer mortality in all groups, regardless of confounder adjustment.

Conclusion

Low serum albumin levels predict higher cancer mortality. Furthermore, a nonlinear negative association was observed between serum albumin levels and the risk of cancer mortality.

The predictive value of the HALP score for no-reflow phenomenon and short-term mortality in patients with ST-elevation myocardial infarction

OBJECTIVE

ST-elevation myocardial infarction (STEMI) is a medical emergency demanding immediate intervention, and primary percutaneous coronary intervention (pPCI) is the standard of care for this condition. While PCI has proven highly effective, a subset of patients experience the devastating no-reflow phenomenon, and some face increased short-term mortality. The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score, a novel biomarker-based tool, has recently surfaced as an innovative predictor of these adverse outcomes. This study aims to investigate the groundbreaking findings that designate a low HALP score as a robust risk factor for no-reflow and short-term mortality in STEMI patients.

METHODS

1817 consecutive STEMI patients who underwent pPCI were included in this retrospective study, and the patients were divided into two groups according to whether no-reflow developed or not, and the HALP scores of the groups were compared. In addition, short-term mortality was compared between the study groups according to their HALP score values. The predictive ability of the HALP score for no-reflow was evaluated using a receiver operating characteristic curve.

RESULTS

No-reflow developed in 198 (10.1%) of the patients included in the study. HALP score value was found to be significantly lower in the no-reflow group (27 ± 13 vs 47 ± 24, p < 0.001). After multivariable adjustment, the HALP score was an independent predictor of no-reflow (OR, 0.923, 95% CI, 0.910-0.935, p < 0.001). Furthermore, the HALP score showed good discrimination for no-reflow (AUC, 0.771, 95% CI, 0.737-0.805, p < 0.001). In addition, HALP score was determined to be an independent predictor for short-term mortality (HR, 0.955, 95% CI, 0.945-0.966, p < 0.001).

CONCLUSIONS

HALP score can independently predict the development of no-reflow and short-term mortality in STEMI patients undergoing pPCI.

Impact of Coronavirus Disease 2019 on the Diagnosis and Treatment of Pancreatic Cancer: An Observational Cohort Study

Early pancreatic cancer diagnosis is crucial for timely intervention and better outcomes. The coronavirus disease 2019 (COVID-19) pandemic has disrupted routine health care globally. The COVID-19 pandemic has disrupted routine health care globally. This study aimed to evaluate the impact of COVID-19 on the diagnosis and treatment of pancreatic cancer. This retrospective study compared pancreatic cancer patients from 2 tertiary hospitals in pre and COVID-19 periods. Pre-COVID-19 period spanned from January 1, 2018, to January 19, 2020, while the COVID-19 period extended from January 20, 2020, to December 31, 2021. Results: A total of 542 patients were included. In the pre-COVID-19 period, 280 new cases of pancreatic cancer were enrolled, compared to 262 during COVID-19. The annual incidence rates were 136.63 and 134.50 patients, respectively. The median age was significantly lower during COVID-19 (71.5 years) compared to pre-COVID-19 (77 years) (P < .001). In subgroup analyses for stage 3 and 4, the proportion of stage 4 pancreatic cancer increased during COVID-19 (χ2 = 5.53, P = .019), and the COVID-19 group had younger diagnoses, better performance status, more surgery, higher use of FOLFIRINOX chemotherapy, fewer hospital referrals, and better median overall survival compared to the pre-COVID-19 group. This study revealed changes in the characteristics and treatment of patients diagnosed with pancreatic cancer during the COVID-19 pandemic. Although further large-scale research is necessary, the findings of this study can function as foundational data for formulating policies for the management of patients with pancreatic cancer during future pandemics of other infectious diseases.

Heterogeneity of weight loss and transcriptomic signatures in pancreatic ductal adenocarcinoma

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) is highly associated with cachexia and weight loss, which is driven by the tumour's effect on the body. Data are lacking on differences in these metrics based on PDAC anatomic location. We hypothesize that the primary tumour's anatomic region influences the prevalence and severity of unintentional weight loss.

METHODS

Treatment naïve patients with PDAC who underwent pancreatectomy at a single institution between 2012 and 2020 were identified retrospectively. Patients with pancreatic head or distal tumours were matched by sex, age, N and T stage. Serologic and anthropometric variables were obtained at the time of diagnosis. Skeletal muscle index (SMI), muscle radiation attenuation (MRA) and adiposity were measured. The primary outcome was presence of significant weight loss [>5% body weight (BW) loss in past 6 months]. Signed rank tests, Cochran Mantel Haenszel tests and Kaplan-Meier survival analysis are presented. RNA-seq of tumours was performed to explore enriched pathways related to cachexia and weight loss.

RESULTS

Pancreatic head tumours (n = 24) were associated with higher prevalence (70.8% vs. 41.7%, P = 0.081) and degree of weight loss (7.9% vs. 2.5%, P = 0.014) compared to distal tumours (n = 24). BMI (P = 0.642), SMI (P = 0.738) and MRA (P = 0.478) were similar between groups. Combining BW loss, SMI and MRA into a composite score, patients with pancreatic head cancers met more criteria associated with poor prognosis (P = 0.142). Serum albumin (3.9 vs. 4.4 g/dL, P = 0.002) was lower and bilirubin (4.5 vs. 0.4 mg/dL, P < 0.001) were higher with pancreatic head tumours. Survival differed by tumour location (P = 0.014) with numerically higher median overall survival with distal tumours (11.1 vs. 21.8 months; P = 0.066). Transcriptomic analysis revealed inactivation of appetite stimulation, weight regulation and nutrient digestion/metabolism pathways in pancreatic head tumours.

CONCLUSIONS

Resectable pancreatic head PDAC is associated with higher prevalence of significant weight loss and more poor prognosis features. Pancreaticobiliary obstruction and hypoalbuminemia in patients with head tumours suggests compounding effects of nutrient malabsorption and systemic inflammation on molecular drivers of cachexia, possibly contributing to shorter survival. Therefore, PDAC-associated cachexia is a heterogenous syndrome, which may be influenced by the primary tumour location. Select patients with resectable pancreatic head tumours may benefit from nutritional rehabilitation to improve outcomes.

Low HALP (Hemoglobin, Albumin, Lymphocyte, and Platelet) Score Increases the Risk of Post-Stroke Cognitive Impairment: A Multicenter Cohort Study

Objective

The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is a novel indicator that measures systemic inflammation and nutritional status that has not been correlated with the risk of post-stroke cognitive impairment in patients with acute ischemic stroke or transient ischemic attack (TIA).

Methods

Study participants were recruited from 40 stroke centers in China. The HALP score was derived using a weighted sum of hemoglobin, albumin, lymphocytes and platelets, and study participants were categorized into 4 groups of equal sizes based on quartiles cutoffs of the HALP score. The Montreal Cognitive Assessment (MoCA)-Beijing Cognitive Assessment Scale (MoCA-Beijing) was performed at 2 weeks and 12 months following stroke onset. Post-stroke cognitive impairment was considered in patients with MoCA-Beijing≤22. Multiple logistic regression methods were employed to evaluate the relationship between the HALP score and the subsequent risk of developing post-stroke cognitive impairment.

Results

The study population comprised 1022 patients (mean age 61.6±11.0 years, 73% men). The proportion of individuals with MoCA-Beijing≤22 at 2 weeks was 49.2% and 32.4% at one year. Patients in the lowest quartile of HALP score (<36.56) were observed to harbor the highest risk of post-stroke cognitive impairment at 12 months post-stroke/TIA compared to those in the highest quartile (odds ratio=1.59, 95% CI=1.07-2.37, p=0.022), and lower domain scores for executive function, naming, and attention. There were no statistically significant differences between patients in the different quartiles of HALP score and HALP score at 2 weeks post-stroke/TIA.

Conclusion

The HALP score is a simple score that could stratify the risk of post-stroke cognitive impairment in stroke/TIA patients to facilitate early diagnosis and interventions.

Prognostic significance of HALP score and combination of peripheral blood multiple indicators in patients with early breast cancer

Background

To assess the prognostic significance of preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) score combined with multiple peripheral blood indicators in patients with early breast cancer (EBC).

Methods

A total of 411 patients with early invasive breast cancer underwent breast-conserving surgery or radical surgery at Changzhou No.2 People's Hospital from January 2015 to December 2020. The cut-off values of HALP, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and prognostic nutritional index (PNI) were calculated using the software X-tile. The primary outcomes were recurrence-free survival (RFS), which was analyzed using the Kaplan Meier (K-M) method, while log-rank was used to test the differences between high and low curves. Cox regression analysis was used to analyze the prognostic significance of HALP. Furthermore, the prognostic predictive value of independent prognostic factors was determined using the receiver operating characteristic (ROC) curve.

Results

Low HALP score (P<0.0001), high PLR (P<0.0001), and low LMR (P = 0.0345) were significantly associated with worse RFS. Body mass index (BMI)<24 (P = 0.0036), no diabetes (P = 0.0205), earlier TNM stage (P = 0.0005), and no lymph node metastasis (P = 0.0022) were positively correlated with longer survival HALP scores (hazard ratio [HR] 95% confidence interval [CI]: 0.08 (0.024-0.265), P<0.0001), BMI (HR 95%CI: 0.254 (0.109-0.589), P = 0.001), TNM stage (HR 95%CI: 0.153 (0.041-0.571), P = 0.005), and diabetes (HR 95%CI: 0.259 (0.085-0.785), P = 0.017) were demonstrated as independent prognostic factors by Cox regression analysis. The ROC curves depicted that the two most valuable factors were TNM stage and HALP, and combined independent factors were more accurate in prognostic prediction than any single factor. This further indicated that the TNM stage combined HALP or BMI were more valuable combinations.

Conclusion

The HALP score was an independent prognostic factor for EBC and was significantly associated with worse RFS. This score may predict the probability of postoperative tumor recurrence or metastasis before surgery.

Evaluation of the relationship between Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score and treatment modality and mortality in patients with ileus

AMAÇ: İleus, bağırsak geçişinin tıkanması olarak tanımlanan ve bağırsaklarda mekanik obstrüksiyon veya paralitik nedenlere bağlı olarak gelişen klinik durumdur. İnce bağırsak obstrüksiyonları primer olarak cerrahi durumlar olarak anılsada, konservatif tedavi bazı hastalarda seçilen bir tedavi protokolüdür. Bu çalışmanın amacı, ileus hastalarında HALP skorunun konservatif-cerrahi tedavi kararını, mortaliteyi ve hastanede kalış süresini belirlemede efektivitesini ve enflamasyonla ilişkili diğer parametrelere üstünlüğünü değerlendirmektir. GEREÇ VE YÖNTEM: Çalışmaya ileus tanısı alan hastalar dahil edildi. Yaş, cinsiyet, komorbiditeler, seçilen tedavi yöntemi (konservatif veya cerrahi), hastanede kalış süresi ve hastane içi mortalite kaydedildi. Biyokimya parametrelerinden beyaz kan hücresi, hemoglobin, trombosit, nötrofil, lenfosit, nötrofil, lenfosit, üre, kreatinin, aspartat aminotransferaz, bilirubin, albümin ve C-reaktif protein seviyeleri kaydedildi. HALP skoru hesaplandı ve mortalite, hastanede kalış süresi, konservatif ve cerrahi tedavi kararı arasındaki ilişki analiz edildi. BULGULAR: Çalışmaya toplam 286 hasta alındı. 245 (%85.7) hastada konservatif tedavi uygulandı. 262 (%91.6) hastada mortalite izlenmedi, 24'ünde (%8.4) mortalite izlendi. HALP skoru mortalite izlenmeyen hastalarda anlamlı olarak yüksekti (p=0.045). Mortalite izlenmeyen hastaların medyan albümin değeri mortalite izlenen hastalardan daha düşüktü (p<0.001). Mortalite izlenen hastaların yaş, üre, kreatinin, AST ve CRP değer-leri, izlenmeyenlere göre anlamlı olarak daha yüksekti (sırasıyla, p=0.002, p<0.001, p<0.001, p<0.001, p<0.001 ve p=0.001). Konservatif tedavi uygulanan hastaların HALP skoru, cerrahi tedavi uygulananlara göre anlamlı olarak yüksekti (p=0.003). Lenfosit değeri konservatif tedavi ile izlenen hastalarda anlamlı olarak yüksekti (p=0.027). Ameliyat olan hastalarda yaş, üre, kreatinin ve CRP skorları daha yüksekti (sırasıyla, p=0.007, p<0.001, 0.003 ve p<0.001). Tedavi yöntemi ve HALP skoru için ROC analizi yapılıp HALP skoru 28 olarak alındığında konservatif tedaviyi saptamada du-yarlılık 50.6%, özgüllük 78.0%, pozitif LR 2.3 ve negatif LR 0.63 olarak tespit edildi. (EAA 0,645 [%95 güven aralığı = 0.556-0.735) ]; p=0.003). SONUÇ: HALP skoru ileuslu hastalarda mortalite ve tedavi şeklinin belirlenmesinde faydalı olabilecek önemli bir skorlama sistemidir. HALP skoru-nun ileus tanılı hastaların yönetiminde, hem mortaliteyi azaltmada hem de uygun tedavi yöntemini belirlemede olumlu katkı sağlayacağı kanaatindeyiz.

Superiority of CRP-albumin-lymphocyte index as a prognostic biomarker for patients with gastric cancer

OBJECTIVES

The new C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index is an immune nutrition scoring system based on serum CRP) serum albumin, and lymphocyte counts. The aim of this study was to verify the prognostic value of the CALLY index in patients with gastric cancer and to evaluate the superiority of this new system.

METHODS

We retrospectively analyzed the data of patients with gastric cancer who were followed up from the INSCOC database between May 2013 and December 2018. Through simple random sampling, patients with gastric cancer were placed into one of two groups: the training group (n = 684) or the verification group (n = 290) in a ratio of 7:3. Correlation analysis, Kaplan-Meier method, and cubic spline function were used to analyze the relationship between the CALLY index and overall survival (OS) in these patients. Based on the results of Cox regression analysis of the training cohort, a nomogram model for predicting 1 -, 2 -, 3-, and 5-y OS was established and verified internally. The prediction accuracy and benefit of the nomogram in gastric cancer were evaluated by calibration and clinical decision curve and compared with the traditional TNM gastric cancer staging system.

RESULTS

The CALLY index was negatively correlated with the age of patients with gastric cancer (men, r = -0.1; women, r = -0.1), but positively correlated with body mass index (BMI; men, r = 0.063; women, r = 0.058), and the cutoff value of the CALLY index was determined as 1.12. The OS of patients with gastric cancer and a CALLY index >1.12 was significantly higher than that of patients with gastric cancer and a CALLY index ≤1.12 (P < 0.0001). There was an L-shaped dose-response relationship between the CALLY index and OS in patients with gastric cancer, and age, TNM stage, surgical treatment, chemotherapy, BMI, and the CALLY index were significantly correlated with the prognosis of patients with gastric cancer. Tumor TNM stage, BMI, and the CALLY index were independent risk factors affecting the prognosis of patients with gastric cancer. The CALLY index was a protective factor in the following patient factors: diagnosis of gastric cancer; <65 y of age; male; TNM 3 stage; BMI 18.5 to 23.9 kg/m2; smoker; consumer of alcohol; no radio- or chemotherapy; surgery; presence of diabetes, hypertension, or both; no family history of cancer; experienced a significant interaction with chemotherapy and surgery. A nomogram based on TNM staging, BMI, and the CALLY index has good predictive ability and clinical application value. Compared with traditional TNM staging systems, the nomogram has better resolution and accuracy in predicting 1 -, 2 -, 3-, and 5-year OS.

CONCLUSION

The CALLY index can be used as an independent prognostic factor for patients with gastric cancer, and constructs a nomogram prediction model combining TNM staging, BMI, and CALLY index, which yields better predictions than traditional TNM staging.

Prognostic Effect of Preoperative Inflammatory Markers on Morbidity and Overall Survival in Pancreatic Adenocarsinoma

BACKGROUND/AIM

His study aimed to evaluate the availability of common diagnostic tests and biochemical markers in predicting poor prognosis in patients with pancreatic adenocarcinoma (PAC). The primary outcome measure was to identify predictive prognostic factors. The secondary outcome measure was to compare predictive measures in patients who survived or did not survive in the follow-up period.

MATERIALS AND METHODS

Medical data of 51 patients were obtained who underwent resection surgery for PAC between January 2016 and May 2022. There were two groups according to the mortality in the follow-up period group general mortality positive (GMP; n = 29) and group general mortality negative (GMN; n = 22). Stage IIb was the most common stage in subgroups.

RESULTS

Preoperative diagnostic tests revealed that aspartate aminotransferase (AST) level, De Ritis ratio (DRR), carcinoembryonic antigen (CEA), cancer antigen 19-9 (CA 19-9), immature granulocyte (IG) count, and IG ratio (IG%) are higher, and hemoglobin (Hgb) levels are lower in the GMP group (P < 0.05). In univariate analysis, seven variables, including AST ≥20.5 (P = 0.001), DRR ≥1.05 (P ≤ 0.001), CEA ≥3.32 (P = 0.02), IG count ≥0.06 (P < 0.01), Hgb ≤11.75 (P = 0.01), poor differentiation (P < 0.001) and existence of life-threatening complication (P < 0.01) were identified. In multivariate analysis, only DRR (≥1.05;100% specificity and 72% sensitivity) and poor differentiation (P = 0.019) were found to be independent prognostic factors for overall survival. The median overall survival of patients with the DRR ≥1.05 and poor tumor differentiation was lower, and the mortality rate was higher than the patients with DRR and without poor tumor differentiation (10.65 ± 3.11 months vs. 61.86 ± 5.36 months and 100% vs. 26.7%, P < 0.001).

CONCLUSION

Pretreatment high DRR, high IG counts and IG%, and poor differentiation of the tumor might be used as independent predictors of poor prognosis and mortality in patients with PAC.

Application of Allostatic Load Theory in Cancer Management and Treatment Outcomes

Efforts have been made to improve health outcomes management by identifying the factors associated with survival in patients with cancer. However, different social, nutritional, and management modalities and personal and clinical characteristics may lead to various mortalities and morbidities among patients with cancer. Although stress is known to influence health and well-being in humans, there is still a gap in the studies on how stress plays a significant role in clinical outcomes in patients with cancer. Allostatic load, accumulated physiologic damage because of stressors, differs on the basis of individual perception of stress, coping skills, and other factors. This theory depicts how stress affects and predicts long-term outcomes such as morbidity and mortality. The main goal of this study is to provide potential benefits of using this theory in the cancer field to identify stressors and develop personalized interventions. This study will describe allostatic load theory and explain the relationships between potential stressors and the outcomes through the various levels of dysregulations in cancer. In addition, this study will provide theory implementation in pancreatic cancer.

Pancreatic cancer: experience from an emerging country in North Africa

PURPOSE

Pancreatic cancer is a major global health problem, it's a highly aggressive and often has a poor prognosis. The aim of this work is to carry out a retrospective epidemiological study on pancreatic cancer in a university hospital in a North African country.

METHODS

This is a monocentric, descriptive and analytical retrospective cohort study carried out in the Gastroenterology department of the Mohammed VI University Hospital of Oujda, Morocco, between January 2018 and December 2022. Analysis were performed using IBM SPSS Version 21.0 RESULTS: During this period, 197 cases of pancreatic cancers were collected, the median age was 64.6 years, the majority of patients (90.9%) were over 50 year's old. and there was no significant difference in gender distribution. Among the patients, several risk factors were prevalent, including chronic tobacco smoking (22.8%), alcohol consumption (12.7%), diabetes (38.1%), obesity (7.6%), and a family history of pancreatic cancer (3%). The most common symptoms at presentation were abdominal pain and obstructive jaundice. Imaging revealed that the majority of cases were located in the head of the pancreas (80.7%). Only 19.8% of the cancers were diagnosed at a resectable stage and adenocarcinoma was the predominant histological type (96.4%). Patients with advanced cancer stages showed higher levels of CA 19-9 and hypoalbuminemia.

CONCLUSION

Our study aligns with previous research, indicating an increased incidence of pancreatic cancer among elderly individuals, particularly those with several risk factors such as chronic tobacco smoking, alcohol consumption, diabetes. A small proportion of cancer cases are deemed resectable at the time of diagnosis.

The prognostic value of HALP score in predicting in-hospital mortality in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention

INTRODUCTION AND OBJECTIVE

Despite major advances in reperfusion therapies, morbidity and mortality rates associated with cardiovascular disorders remain high, particularly in patients with ST-segment elevation myocardial infarction (STEMI). Therefore, identifying prognostic variables that can be used to predict morbidity and mortality in STEMI patients is critical for better disease management. The HALP (hemoglobin, albumin, lymphocyte, and platelet) score, a novel index indicating nutritional status and systemic inflammation, provides information about prognosis. In this context, this study was carried out to investigate the relationship between HALP score assessed at admission and in-hospital mortality in STEMI patients.

MATERIAL AND METHODS

The population of this retrospective study consisted of 1307 consecutive patients diagnosed with STEMI and who underwent primary percutaneous coronary intervention (pPCI). The 1090 patients included in the study sample were divided into two groups based on the median HALP score value of 3.59. In-hospital and all-cause mortality rates during the follow-up were obtained from the registry.

RESULTS

In-hospital mortality rate was significantly higher in patients with a HALP score of less than 3.59 compared to those with a HALP score of more than 3.59 (7.5% and 0.7%, respectively; P < 0.001). Univariate and multivariate Cox proportional hazard analyses revealed that the HALP score is independently associated with in-hospital mortality. The optimal HALP score cutoff value of <3.72 predicted in-hospital mortality with 95.56% sensitivity and 49.19% specificity.

CONCLUSION

This study's findings indicate that HALP score may be a significant independent predictor of in-hospital mortality in patients with STEMI treated with pPCI.

Predictive values of the hemoglobin, albumin, lymphocyte and platelet score (HALP) and the modified -Gustave Roussy immune score for esophageal squamous cell carcinoma patients undergoing concurrent chemoradiotherapy

The hemoglobin, albumin, lymphocyte and platelet (HALP) score and the Gustave Roussy immune score (GRIm⁃Score) are prognostic markers in several types of malignant tumors. The prognostic values of HALP score and GRIm⁃Score in concurrent chemoradiotherapy for unresectable esophageal cancer remain unknown.

METHODS

We enrolled 150 esophageal squamous cell carcinoma (ESCC) patients who underwent concurrent chemoradiotherapy in our institution between 2013 and 2018. The cutoff values for HALP, and GRIm⁃Score were defined by using receiver's operating characteristic curves. Survival was analyzed with the Kaplan- Meier method, with differences analyzed with the log-rank test. Multivariate Cox proportional-hazards models were used to evaluate the prognostic significance of HALP and GRIm for ESCC.

RESULTS

HALP was significantly associated with the Zubrod ECOG WHO performance status, tumor location, and the clinical tumor, node, metastasis stage. Modified GRIm (mGRIm) was only significantly associated with metastasis / recurrence before radiotherapy (χ2 = 6.25). Univariate Cox regression analysis showed that higher mGRIm (HR 1.9 95%CI 1.3-2.9) and lower HALP (HR 2.4 95%CI 1.6-3.7) were all associated with worse OS. Multivariate COX analysis found that higher mGRIm score (HR 1.7 95%CI 1.1-2.6), and lower HALP score (HR 2 95%CI 1.3-3.2) were both independent risk factors of overall survival. The nomogram c-index in inside validation was 0.66.

CONCLUSION

Both HALP and mGRIm are independent prognostic factors for patients with unresectable ESCC.

Can HALP score, a new prognostic tool, take the place of traditional scoring systems in Fournier's gangrene?

PURPOSE

Fournier's Gangrene (FG) is a fatal condition, therefore prognosis prediction is a crucial step before treatment planning. We aimed to investigate the predictive value of Hemoglobin, Albumin, Lymphocyte and Platelet (HALP) score which is frequently employed in vascular disorders and malignancies, on disease severity and survival in FG patients and to compare HALP score with well-known scoring systems on this aspect.

MATERIALS AND METHODS

Eighty-seven men who had surgical debridement for FG between December 2006 and January 2022 were included in this study. Their symptoms, physical examination findings, laboratory tests, medical histories, vital signs, extent and timing of the surgical debridement and antimicrobial therapies were noted. The HALP score, Age-adjusted Charlson Comorbidity Index (ACCI) and Fournier's Gangrene Severity Index (FGSI) were evaluated for their predictive values for survival.

RESULTS

FG patients were grouped as survivors (Group 1, n = 71) and non-survivors (Group 2, n = 16) and the results were compared. The mean ages of survivors (59 ± 12.55 years) and non-survivors (64.5 ± 14.6 years) were similar (p = 0.114). The median size of necrotized body surface area was 3% in Group 1 and 4.8% in Group 2 (p = 0.013). On admission, hemoglobin, albumin and serum urea levels and white blood cell counts were significantly different in two study groups. Two study groups were similar for HALP scores. However, ACCI and FGSI scores were greater significantly in non-survivors.

CONCLUSIONS

Our results indicated that HALP score does not predict a survival successfully in FG. However, FGSI and ACCI are successful outcome predictors in FG.

Clinical value of hemoglobin, albumin, lymphocyte, and platelet indexes in predicting lymph node metastasis and recurrence of endometrial cancer: a retrospective study

Objective

To study the clinical importance of hemoglobin, albumin, lymphocyte, and platelet (HALP) indexes in predicting lymph node metastasis and recurrence of endometrial cancer.

Methods

From July 2016 to July 2020, 158 patients suffering from endometrial cancer who visited the gynecology department of General Hospital of Ningxia Medical University from were collected. Employing the X-Tiles program, the ideal HALP cut-off value was established, and the patients were separated into low and high HALP groups. Univariate and multivariate analysis were used to determine the relationship between HALP score and lymph node metastasis and recurrence of endometrial cancer.

Results

The optimal cut-off value of HALP score was established to be 22.2 using X-Tiles software, and the patients were separated into high HALP group (HALP score > 22.2, with 43 cases) and low HALP group (HALP score ≤ 22.2, 115 cases). Endometrial cancer patients' HALP scores were strongly connected with differentiation, the degree of myometrial invasion, and lymph node metastasis (P < 0.05), although not with age, menopausal status, or stage (P > 0.05). Multivariate logistic regression analysis revealed that the HALP score (OR = 2.087) was the influencing factor for lymph node metastasis (P < 0.05). The ROC curve suggested that the AUC of HALP score in predicting lymph node metastasis was 0.871, which had high diagnostic value. When compared to patients without recurrence, HALP scores of patients with recurrence were considerably lower (P < 0.05). Multivariate logistic regression analysis showed that HALP score (OR = 2.216) was the influencing factor for the occurrence of lymph node metastasis (P < 0.05). The ROC curve suggested that the AUC of HALP score in predicting relapse was 0.855, with high diagnostic value.

Conclusion

The HALP score shows good predictive performance in predicting lymph node metastasis and recurrence of endometrial cancer, and has high clinical value, which helps in improving the accuracy and effectiveness of clinical diagnosis and prognosis research.

A Novel Nomogram for Identifying the Patients at Risk for Rapid Progression of Advanced Hormone-Sensitive Prostate Cancer

Purpose

The goal of this study was to assess the prognostic impact of the lower urinary tract symptoms (LUTS) in advanced prostate cancer (PCa) patients before progression to castration-resistant prostate cancer (CRPC).

Methods

A retrospective analysis of the follow-up data for 152 CRPC patients was performed. Severe LUTS symptom was defined as an International Prostate Symptoms Score (IPSS) ≥20 at baseline. Cox regression analysis was conducted to assess CRPC prognostic factors. Nomogram model was created and assessed using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA).

Results

The median CRPC free survival of patients with severe LUTS was 20.5 months, significantly longer than that (7.5 months) of less symptomatic patients. Furthermore, severe LUTS, the hemoglobin, albumin, lymphocyte, and platelet (HALP) score, and Gleason sum were determined to be independent prognostic markers and combined to establish a nomogram, which performed well in the customized prediction of CRPC progression at 6th, 12th, 18th and 24th month. The C-index (0.794 and 0.816 for the training and validation cohorts, respectively), calibration curve, and ROC curve all validated the prediction accuracy. DCA curve showed that it could be effective in helping doctors make judgments. The Nomogram-related risk score separated the patients into two groups with notable progression differences.

Conclusion

Severe LUTS was significantly associated with decreased risk for rapid progression to CRPC. The developed nomogram could help identify patients who are at a high risk of rapid CRPC progression and provide tailored follow-up and therapeutic advice.