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Huang JX, Zhang X, Tang M, Zhang Q, Deng L, Song CH, Li W, Shi HP, Cong MH. Comprehensive evaluation of serum hepatic proteins in predicting prognosis among cancer patients with cachexia: an observational cohort study. BMC Cancer 2024; 24:293. [PMID: 38438901 PMCID: PMC10913220 DOI: 10.1186/s12885-024-12056-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 02/26/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Hepatic proteins, including albumin, prealbumin, and transferrin have been confirmed to be prognostic predictors in various cancers. This study aimed to comprehensively assess the prognostic value of these three serum markers in patients with cancer cachexia. METHODS This multicenter prospective cohort study included 1303 cancer cachexia patients, among whom 592 deaths occurred during a median follow-up of 20.23 months. The definition of cachexia was based on the 2011 international consensus. Concordance index (C-index) and receiver operating characteristic (ROC) curves were applied to compare the prognostic performance. The primary outcome was overall survival, which was calculated using the Kaplan-Meier method generated by log-rank test. A Cox proportional hazard regression model was used to identify independent predictors associated with survival. The secondary outcomes included 90-days mortality and quality of life (QoL). RESULTS C-index and ROC curves showed that albumin had the most accurate predictive capacity for survival, followed by transferrin and prealbumin. Multivariate Cox analysis confirmed that low albumin (hazard ratio [HR] = 1.51, 95% confidence interval [95%CI] = 1.28-1.80, P < 0.001), prealbumin (HR = 1.42, 95%CI = 1.19-1.69, P < 0.001), and transferrin (HR = 1.50, 95%CI = 1.25-1.80, P < 0.001) were independent risk factors for long-term survival in cancer patients with cachexia. In subgroup analysis, the prognostic value of low albumin was significant in patients with upper gastrointestinal, hepatobiliary and pancreatic, and colorectal cancers; low prealbumin was significant in colorectal cancer; and low transferrin was significant in patients with upper gastrointestinal and colorectal cancer. All three hepatic proteins were valuable as prognostic predictors for patients with advanced (Stage III and IV) cancer with cachexia. The risks of 90-days mortality and impaired QoL were higher in cachexia patients with low albumin, prealbumin, and transferrin levels. CONCLUSION Low albumin, prealbumin, and transferrin levels were all independent prognostic factors affecting patients with cancer cachexia, especially in patients in the advanced stages. These results highlight the value of routinely checking serum hepatic proteins in clinical practice to predict the prognosis of patients with cancer cachexia.
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Affiliation(s)
- Jia-Xin Huang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Xi Zhang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng Tang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery, Zhejiang Cancer Hospital, Hangzhou, China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Han-Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Chen X, Shi H, Chang J, Guo W, Yang Y, Wang Y, Pan L. External Validation of the Risk Assessment Model of Venous Thromboembolism in Multicenter Internal Medicine Inpatients. Clin Appl Thromb Hemost 2024; 30:10760296241247205. [PMID: 38632943 PMCID: PMC11025444 DOI: 10.1177/10760296241247205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 03/18/2024] [Accepted: 03/28/2024] [Indexed: 04/19/2024] Open
Abstract
To external validate the risk assessment model (RAM) of venous thromboembolism (VTE) in multicenter internal medicine inpatients. We prospectively collected 595 internal medical patients (310 with VTE patients, 285 non-VTE patients) were from Beijing Shijitan Hospital, Beijing Chaoyang Hospital, and the respiratory department of Beijing Tsinghua Changgeng Hospital from January 2022 to December 2022 for multicenter external validation. The prediction ability of Caprini RAM, Padua RAM, The International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) RAM, and Shijitan (SJT) RAM were compared. This study included a total of 595 internal medicine inpatients, including 242 (40.67%) in the respiratory department, 17 (2.86%) in the respiratory intensive care unit, 49 (8.24%) in the neurology department, 34 (5.71%) in the intensive care unit, 26 (4.37%) in the geriatric department, 22 (3.70%) in the emergency department, 71 (11.93%) in the nephrology department, 63 (10.59%) in the cardiology department, 24 (4.03%) in the hematology department, 6 (1.01%) in the traditional Chinese medicine department, 9 (1.51%) cases in the rheumatology department, 7 (1.18%) in the endocrinology department, 14 (2.35%) in the oncology department, and 11 (1.85%) in the gastroenterology department. Multivariate logistic regression analysis showed that among internal medicine inpatients, age > 60 years old, heart failure, nephrotic syndrome, tumors, history of VTE, and elevated D-dimer were significantly correlated with the occurrence of VTE (P < .05). The incidence of VTE increases with the increase of D-dimer. It was found that the effectiveness of SJT RAM (AUC = 0.80 ± 0.03) was better than Caprini RAM (AUC = 0.74 ± 0.03), Padua RAM (AUC = 0.72 ± 0.03) and IMPROVE RAM (AUC = 0.52 ± 0.03) (P < .05). The sensitivity and Yoden index of SJT RAM were higher than those of Caprini RAM, Pauda RAM, and IMPROVE RAM (P < .05), but specificity was not significantly different between the 4 models (P > .05). The SJT RAM derived from general hospitalized Chinese patients has effective and better predictive ability for internal medicine inpatients at risk of VTE.
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Affiliation(s)
- Xiaolan Chen
- Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Hongning Shi
- Department of Hepatobiliary and Pancreatic Surgery, The People Hospital of Pu'er, Pu'er, China
| | - Jiaqi Chang
- School of Statistics and Data Science, Nankai University, Tianjin, China
| | - Wenjia Guo
- Department of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Yuanhua Yang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yong Wang
- Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Institute of Blood Transfusion, Beijing Red Cross Blood Center, Beijing, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
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Zhang X, Huang J, Tang M, Zhang Q, Deng L, Song C, Li W, Shi H, Cong M. A promising prognostic grading system incorporating weight loss and inflammation in patients with advanced cancer. J Cachexia Sarcopenia Muscle 2023; 14:2969-2980. [PMID: 37985353 PMCID: PMC10751406 DOI: 10.1002/jcsm.13376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/25/2023] [Accepted: 10/03/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Involuntary weight loss and increased systemic response are frequently observed in patients with cancer, especially in advanced stages. This study aimed to develop a powerful weight loss and inflammation grading system (WLAIGS) and investigate its prognostic performance in patients with advanced cancer. METHODS This multicentre prospective cohort study included 11 423 patients with advanced cancer. A 4 × 4 matrix representing four different per cent weight loss (WL%) categories within each of the four different neutrophil-to-lymphocyte ratio (NLR) categories (16 possible combinations of WL% and NLR) was constructed. The WLAIGS consisted of four grades, with hazard ratios (HRs) for overall survival (OS) gradually increasing from grade 1 to grade 4. Survival analyses, including Kaplan-Meier curve, Cox proportional hazards regression, and sensitivity analysis, were performed to investigate the association between WLAIGS and OS. The secondary outcomes were short-term survival, malnutrition, and quality of life. Two internal validation cohorts with a 7:3 ratio were used to validate the results. RESULTS The median age of patients with advanced cancer in our study was 59.00 (interquartile range, 50.00-66.00) years. There were 6877 (60.2%) and 4546 (39.8%) male and female participants, respectively. We totally recorded 5046 death cases during the median follow-up of 17.33 months. The Kaplan-Meier curve showed that the survival rate decreased from grade 1 to grade 4 in patients with advanced cancer (log-rank P < 0.001). The WLAIGS was an independent risk factor associated with OS adjusting for confounders, with HRs increasing from 1.20 (95% confidence interval (CI), 1.11-1.29; P < 0.001) in grade 2, 1.48 (95% CI, 1.38-1.60; P < 0.001) in grade 3 to 1.73 (95% CI, 1.58-1.89; P < 0.001) in grade 4. In each weight loss% group (2.5 ≤ WL% < 6.0; 6.0 ≤ WL% < 11.0, WL% ≥ 11.0), a NLR above 3 was associated with shorter survival and served as an independent prognostic predictor. The risk of short-term mortality, malnutrition, and poor quality of life increased with WLAIGS grade. Two internal validation cohorts confirmed that the WLAIGS independently identified the survival of patients with advanced cancer. CONCLUSIONS The WLAIGS, which reflects malnutrition and systemic inflammation status, is a robust and convenient tool for predicting the prognosis of patients with advanced cancer.
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Affiliation(s)
- Xi Zhang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Jia‐Xin Huang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Cancer Center of the First Hospital of Jilin UniversityChangchunChina
| | - Meng Tang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal SurgeryZhejiang Cancer HospitalHangzhouChina
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Chun‐Hua Song
- Department of Epidemiology, College of Public HealthZhengzhou UniversityZhengzhouChina
| | - Wei Li
- Department of Gastrointestinal SurgeryZhejiang Cancer HospitalHangzhouChina
| | - Han‐Ping Shi
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Ming‐Hua Cong
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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