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albumin (Pedialb / AlbuRel / AlbuRel LS)

✓ Approved

Reliance Life Sciences Private Limited · 细胞治疗 · 细胞治疗

什么是 albumin？

albumin 是一种细胞治疗，由Reliance Life Sciences Private Limited研发。该药已获批，用于治疗相关适应症，给药途径：Injectable (Others)、Intravenous (IV)。

药物档案

商品名Pedialb, AlbuRel, AlbuRel LS
公司Reliance Life Sciences Private Limited
药物类别细胞治疗
给药途径Injectable (Others), Intravenous (IV)
状态Approved
来源： ClinicalTrials.gov, Reliance Life Sciences Private Limited

治疗适应症

albumin 针对 1 个适应症，涉及 1 个治疗领域。

治疗领域疾病/病症分期
Vascular disordersThrombosis✓ Approved

相关研究文献

PubMedFrontiers in nutrition2026-08-04

LDAR is superior to other albumin-derived indices in predicting 28-day ICU mortality in critically ill patients with intracerebral hemorrhage: a two-cohort study.

Yang Ping P, Peng Daizhou D, Huang Zhigui Z, Luo Dengjian D et al.

Spontaneous intracerebral hemorrhage (ICH) carries a high risk of poor outcomes, making early identification of high-risk patients crucial for improving prognosis. Albumin-derived composite indices can reflect the systemic inflammatory, nutritional, and metabolic status, but their predictive performance in the ICH population lacks systematic comparison. This study aimed to evaluate the prognostic value of six albumin-derived composite indices for 28-day ICU mortality in critically ill patients with ICH. This study included 1,638 adult patients with first-time ICH admission from the MIMIC-IV database as the derivation cohort, and 493 patients with ICH from the People's Hospital of Xingyi City as the external validation cohort. Clinical data within 24 h of admission were collected. Six indices were calculated: red blood cell distribution width to albumin ratio (RAR), creatinine to albumin ratio (CAR), anion gap to albumin ratio (AGAR), total bilirubin to albumin ratio (TAR), blood urea nitrogen to albumin ratio (UAR), and lactate dehydrogenase to albumin ratio (LDAR, log-transformed for analysis). Cox regression, restricted cubic splines (RCS), and Kaplan-Meier (KM) curves were used to analyze the association between each index and 28-day ICU mortality. Predictive performance was compared using receiver operating characteristic (ROC) curves. The incremental predictive value of log(LDAR) beyond traditional critical care scores was also assessed. In the derivation cohort, 295 patients (18.0%) died within 28 days. After multivariable adjustment, log(LDAR) (HR = 1.68, 95%CI: 1.35-2.10), RAR (HR = 1.09, 95%CI: 1.01-1.19), and TAR (HR = 1.27, 95%CI: 1.16-1.40) were independent risk factors for 28-day mortality. RCS analysis revealed nonlinear associations with mortality risk for log(LDAR), TAR, and UAR (all P-non-linear < 0.05), whereas RAR showed a linear positive correlation (P-non-linear = 0.467). ROC curve analysis demonstrated that log(LDAR) had the highest predictive efficacy (AUC = 0.695), significantly outperforming the other indices (all DeLong test p < 0.05). Adding log(LDAR) to five traditional severity scores, including APACHE II and SOFA, significantly improved their predictive ability (AUC increase range: 0.016-0.039, all p < 0.05). Subgroup analyses confirmed the robustness of log(LDAR)'s predictive effect across different populations (all p for interaction > 0.05). These findings were validated in the external cohort. Among six albumin-derived composite indices, log(LDAR) offers superior predictive value for 28-day ICU mortality in critically ill ICH patients. It significantly enhances the risk stratification capability of traditional critical illness scores and may serve as a useful tool for early clinical screening.

PMID 42548589
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PubMedExperimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation2026-08-04

Prognostic Significance of the Hemoglobin, Albumin, Lymphocyte, and Platelet Score in Patients Who Develop Pneumonia After Kidney Transplant.

Ucar Yildiz Y, Sahin Aynur A, Esendagli Dorina D, Nezalzova Polina P et al.

Infections, especially pneumonia, are among the significant causes of morbidity and mortality in transplant recipients. Pneumonia leads to a complex clinical picture, related not only to the infection itself but also to underlying immunosuppression, conco -mitant diseases, and organ dysfunction. Here, we evaluated the effect of the HALP score (ie, hemoglobin, albumin, lymphocyte, and platelet ) on prognosis in patients who developed pneumonia after kidney transplant. We retrospectively reviewed files of kidney transplant recipients in the chest diseases outpatient clinic of our hospital who were diagnosed with pneumonia on thoracic computed tomography scans between April 2020 and April 2025. We exported data (age, sex, laboratory test results at diagnosis, duration of hospitalization, and mortality rate ) to a database spreadsheet file (Excel ) and compared hemoglobin, albumin, lymphocyte, and platelet scores of patients who died versus survived. We analyzed disease severity by classification according to the Pneumonia Severity Index and CURB -65 (ie, confusion, uremia, respiratory rate, blood pressure, and age ≥65 ) scores. Among 178 included patients (100 female, 78 male ), 148 survived (83.1 % ) and 30 died (16.9 % ). Patients who died had lower hemoglobin, albumin, lymphocyte, and platelet scores than patients who survived. Patients with higher Pneumonia Severity Index scores had significantly lower hemoglobin, albumin, lymphocyte, and platelet scores. The hemoglobin, albumin, lymphocyte, and platelet score is a biomarker based on easily calculable, low -cost, and accessible parameters and may be a potential tool for evaluation of prognosis in the general patient population. Prospective and multicenter studies with larger sample groups are needed to better evaluate the role of the hemoglobin, albumin, lymphocyte, and platelet score for determination of the prognosis related to infections in kidney transplant recipients.

PMID 42549791
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PubMedNutricion hospitalaria2026-08-04

[Value of the prognostic nutritional index in wound healing outcomes in elderly patients undergoing total knee arthroplasty].

Lalueza Broto Pilar P, Reverté Vinaixa Maria Mercedes MM, Burgos Peláez Rosa R, Vaqué Crusellas Cristina C et al.

malnutrition is a modifiable risk factor that is associated with a higher number of post-surgical complications in total knee arthroplasty (TKA), such as delayed healing, persistent drainage and prosthetic infection. The identification of simple and reliable nutritional parameters is key to optimizing the preoperative preparation of elderly patients, a particularly vulnerable group. the objective of this study was to evaluate the usefulness of the nutritional prognostic index (NPI) and other biochemical parameters as predictors of surgical wound-related complications in patients ≥ 75 years of age undergoing primary TKA. a single-center retrospective observational cohort study was conducted. Patients ≥ 75 years of age who underwent surgery for TKA between January 2016 and December 2019, with nutritional data available in the 6 months prior to surgery, were included. Biodemographic, biochemical (albumin, fibrinogen, creatinine, lymphocytes), clinical (hospital stay, readmissions) variables were analyzed, and combined indices (albumin/lymphocyte ratio, albumin/fibrinogen ratio, NPI) were calculated. Prolonged hospital stay ( > 7 days) and readmission were considered as indicators of postoperative complications. of 584 patients operated on, 117 met inclusion criteria (mean age 79.6 years; 71 males, 46 females). There were 8 readmissions (6.8 %). Patients with albumin < 3.5 g/dl and NPI < 40 had significantly longer stayed (p = 0.004 and p < 0.001, respectively). An NPI < 40 was associated with lower albumin, lymphocyte, and albumin/fibrinogen ratio levels, as well as longer duration of hospitalization (12.8 vs. 6.6 days; p = 0.023). In the analysis of readmissions, only albumin (p = 0.018) and NPI (p = 0.018) showed a significant association. preoperative nutritional assessment could be key to identifying and optimizing the nutritional status of these patients, to reduce postoperative complications. NPI and serum albumin are confirmed as simple and useful nutritional markers to predict postoperative complications in elderly patients undergoing TKA. An NPI value < 40 identifies patients at higher risk of wound complications and prolonged hospital stay, reinforcing the need to incorporate routine nutritional assessment in the preoperative period and to propose specific nutritional interventions in this high-risk group.

PMID 42549880
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PubMedFrontiers in medicine2026-08-04

Predicting membranous nephropathy remission: a nomogram based on early dynamic biomarkers.

Wang Chendan C, Hu Cheng C, Zhang Miao M, Li Rongshan R

Traditional prognostic assessment of membranous nephropathy (MN) relies on baseline static indicators, which do not allow for the dynamic monitoring of early treatment response. This study aims to evaluate whether early changes in anti-PLA2R antibody titers, 24-h urine protein quantification, and serum albumin levels can predict 12-month remission and to develop a nomogram model to facilitate clinical decision-making. A retrospective analysis was conducted on 144 patients with PLA2R-related MN treated with rituximab between 2022 and 2025. Patients were categorized into remission (n = 86) and non-remission (n = 58) groups based on 12-month outcomes. Dynamic changes in biomarkers were analyzed at 1 and 6 months post-treatment. Risk factors were identified using Lasso-Logistic regression, and a nomogram was constructed and evaluated using receiver operating characteristic (ROC) curves and calibration plots. At 1 month post-treatment, non-remission patients demonstrated a significantly lower percentage decline in anti-PLA2R antibodies (47.26% vs. 85.74%, p < 0.001), less reduction in 24-h urinary protein (4.5% vs. 42.5%, p < 0.001), and a smaller increase in serum albumin (6.47% vs. 17.06%, p < 0.001). Multivariate analysis identified 1-month urinary protein (OR = 1.374), anti-PLA2R decline (OR = 0.944), and albumin increase (OR = 0.967) as independent predictors of remission. The 1-month nomogram showed excellent discrimination (AUC = 0.905) and strong calibration, with predictive value comparable to 6-month monitoring. Dynamic changes in anti-PLA2R antibodies, urinary protein, and serum albumin at 1 month are effective predictors of 12-month remission in MN. This nomogram model enables early risk stratification and the optimization of personalized treatment strategies.

PMID 42549141
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PubMedFrontiers in surgery2026-08-04

Clinical-epidemiological profile of right and left colorectal cancer: exploratory study at the university hospital of USP (2012-2018).

Morais Aline Moreira AM, Alcântara Paulo S M PSM, de Jesus Joyce de Cassia Rosa JCR, Andrade Afonso M AM et al.

Cachexia is a multifactorial syndrome associated with systemic inflammation, nutritional deterioration, and poor prognosis in cancer patients. Colorectal cancer is one of the most prevalent malignancies worldwide, and differences between right- and left-sided tumors may influence clinical outcomes. This retrospective observational cohort study included 69 patients who underwent surgical treatment for colorectal cancer at the University Hospital of the University of Sao Paulo between 2012 and 2018. Patients were classified as cachectic (CC; n = 40) or non-cachectic (WSC; n = 29). Clinical, epidemiological, inflammatory, nutritional, and laboratory variables were compared according to cachexia status, primary tumor location, and survival status. Cachectic patients presented significantly lower BMI, hemoglobin, and albumin levels, as well as higher CRP concentrations, CRP/albumin ratio, GPS, and mGPS values compared with non-cachectic patients. Cachexia was more frequent among patients with right-sided tumors than among those with left-sided tumors, although this difference did not reach statistical significance. Patients who died during follow-up were significantly older than survivors. Cachectic patients with colorectal cancer showed a distinct inflammatory and nutritional profile, supporting the clinical relevance of accessible biomarkers such as CRP, albumin, GPS, and mGPS for patient assessment and risk stratification. Further multicenter studies with larger samples and complete longitudinal follow-up are needed to clarify the prognostic implications of these findings.

PMID 42548693
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PubMedJournal of nephrology2026-08-04

Predicting the risk of lupus nephritis based on a nomogram in patients with childhood-onset systemic lupus erythematosus.

Jing Shuolan S, Yang Xianglin X, Li Shihao S, Dong Liqun L

Lupus nephritis (LN) is one of the leading causes of death and a major cause of morbidity in childhood-onset systemic lupus erythematosus (SLE). However, currently there is no tool to predict the risk of LN in patients with childhood-onset SLE. This study collected and retrospectively analysed data of paediatric patients who were first diagnosed with SLE at the West China Second Hospital of Sichuan University from January 2013 to December 2022. A nomogram prediction model for predicting the risk of LN was developed using LASSO-logistic regression analysis. Receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis were used to assess the performance of the prediction model. A total of 264 paediatric patients with childhood-onset SLE were included; 171 with and 93 without LN. LASSO regression and multivariate logistic regression analyses showed that serositis, anti-dsDNA positivity, low IgG, and low albumin were independent risk factors for identifying patients at high risk for LN and were thus included in predictive models to identify such high-risk groups. The final results show that the calibration curve is close to the ideal prediction situation, and the decision curve analysis and ROC curve (AUC = 0.874) suggest that the model has good predictive power. Four indicators, serositis, anti-dsDNA positivity, low IgG, and low albumin, were independent risk factors predictive of high-risk LN in patients with childhood-onset SLE. The model has been validated internally and performs well.

PMID 42550596
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