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Zhou HH, Tang YL, Xu TH, Cheng B. C-reactive protein: structure, function, regulation, and role in clinical diseases. Front Immunol 2024; 15:1425168. [PMID: 38947332 PMCID: PMC11211361 DOI: 10.3389/fimmu.2024.1425168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 06/03/2024] [Indexed: 07/02/2024] Open
Abstract
C-reactive protein (CRP) is a plasma protein that is evolutionarily conserved, found in both vertebrates and many invertebrates. It is a member of the pentraxin superfamily, characterized by its pentameric structure and calcium-dependent binding to ligands like phosphocholine (PC). In humans and various other species, the plasma concentration of this protein is markedly elevated during inflammatory conditions, establishing it as a prototypical acute phase protein that plays a role in innate immune responses. This feature can also be used clinically to evaluate the severity of inflammation in the organism. Human CRP (huCRP) can exhibit contrasting biological functions due to conformational transitions, while CRP in various species retains conserved protective functions in vivo. The focus of this review will be on the structural traits of CRP, the regulation of its expression, activate complement, and its function in related diseases in vivo.
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Affiliation(s)
- Hai-Hong Zhou
- Centre for Translational Medicine, Gansu Provincial Academic Institute for Medical Research, Lanzhou, China
- Centre for Translational Medicine, Gansu Provincial Cancer Hospital, Lanzhou, China
- Centre for Translational Medicine, Sun Yat-sen University Cancer Center Gansu Hospital, Lanzhou, China
| | - Yu-Long Tang
- Ministry of Education (MOE), Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Tian-Hao Xu
- Ministry of Education (MOE), Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Bin Cheng
- Key Laboratory of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences, Research Unit of Peptide Science, Chinese Academy of Medical Sciences, Lanzhou University, Lanzhou, China
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Xu XY, Gao Y, Yue CS, Tang YJ, Zhang ZJ, Xie FJ, Zhang H, Zhu YC, Zhang Y, Lai QQ, Wang XT, Xu JX, Zhang JN, Liu BW, Zhang JN, Kang K. Predictive and Prognostic Potentials of Lymphocyte-C-Reactive Protein Ratio Upon Hospitalization in Adult Patients with Acute Pancreatitis. J Inflamm Res 2024; 17:1659-1669. [PMID: 38504695 PMCID: PMC10949381 DOI: 10.2147/jir.s450587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 03/07/2024] [Indexed: 03/21/2024] Open
Abstract
Purpose In this study, our objective was to investigate the potential utility of lymphocyte-C-reactive protein ratio (LCR) as a predictor of disease progression and a screening tool for intensive care unit (ICU) admission in adult patients with acute pancreatitis (AP). Methods We included a total of 217 adult patients with AP who were admitted to the First Affiliated Hospital of Harbin Medical University between July 2019 and June 2022. These patients were categorized into three groups: mild AP (MAP), moderately severe AP (MSAP), and severe AP (SAP), based on the presence and duration of organ dysfunction. Various demographic and clinical data were collected and compared among different disease severity groups. Results Height, diabetes, lymphocyte count (LYMPH), lymphocyte percentage (LYM%), platelet count (PLT), D-Dimer, albumin (ALB), blood urea nitrogen (BUN), serum creatinine (SCr), glucose (GLU), calcium ion (Ca2+), C-reactive protein (CRP), procalcitonin (PCT), hospitalization duration, ICU admission, need for BP, LCR, sequential organ failure assessment (SOFA) score, bedside index for severity in AP (BISAP) score, and modified Marshall score showed significant differences across different disease severity groups upon hospitalization. Notably, there were significant differences in LCR between the MAP group and the MSAP and SAP combined group, and the MAP and MSAP combined group and the SAP group, and adult AP patients with ICU admission and those without ICU admission upon hospitalization. Conclusion In summary, LCR upon hospitalization can be utilized as a simple and reliable predictor of disease progression and a screening tool for ICU admission in adult patients with AP.
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Affiliation(s)
- Xiao-Yu Xu
- Department of Critical Care Medicine, The Second People’s Hospital of Beihai, Beihai, People’s Republic of China
| | - Yang Gao
- Department of Critical Care Medicine, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Chuang-Shi Yue
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, People’s Republic of China
| | - Yu-Jia Tang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Zhao-Jin Zhang
- Department of Critical Care Medicine, The Yichun Central Hospital, Yichun, People’s Republic of China
| | - Feng-Jie Xie
- Department of Critical Care Medicine, The Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, People’s Republic of China
| | - Hong Zhang
- Department of Critical Care Medicine, The Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, People’s Republic of China
| | - Yu-Cheng Zhu
- Department of Critical Care Medicine, The Hongxinglong Hospital of Beidahuang Group, Shuangyashan, People’s Republic of China
| | - Yan Zhang
- Department of Critical Care Medicine, The Hongxinglong Hospital of Beidahuang Group, Shuangyashan, People’s Republic of China
| | - Qi-Qi Lai
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Xin-Tong Wang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Jia-Xi Xu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Jia-Ning Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Bo-Wen Liu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Jian-Nan Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Kai Kang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
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Wu Y, Liu RT, Zhou XY, Fang Q, Huang D, Jia ZY. The Global Leadership Initiative on Malnutrition criteria for diagnosis of malnutrition and outcomes prediction in emergency abdominal surgery. Nutrition 2024; 119:112298. [PMID: 38176361 DOI: 10.1016/j.nut.2023.112298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVES Malnutrition has adverse postoperative outcomes, especially in emergency surgery. Among the numerous tools for nutritional assessment, this study aims to investigate malnutrition diagnosed by Global Leadership Initiative on Malnutrition criteria and the Global Leadership Initiative on Malnutrition predictive value for outcomes after emergency abdominal surgery. METHODS This was a prospective observational study. Among the 468 patients undergoing emergency abdominal surgery admitted to a department of emergency surgery from June 2020 to December 2021, 53 patients were not eligible for enrollment, and 19 patients had missing data. Thus, the final number of participants was 396. Muscle mass was evaluated by skeletal muscle index at the third lumbar vertebra on computed tomography scans, and the lower quartile was defined as the threshold of muscle mass reduction. The associations of Global Leadership Initiative on Malnutrition, Global Leadership Initiative on Malnutrition (muscle mass reduction excluded), and skeletal muscle index with in-hospital mortality, postoperative complications, and postoperative stay were evaluated using χ2. In addition, confounding factors were screened, regression models were established, and the Global Leadership Initiative on Malnutrition predictive value was analyzed for clinical outcome. Ethical approval was obtained from the appropriate department. RESULTS Malnutrition was observed in 19.9% of the total 396 patients based on the Global Leadership Initiative on Malnutrition and in 12.4% on the Global Leadership Initiative on Malnutrition (muscle mass reduction excluded). Sarcopenia by skeletal muscle index was found in 24.7% of patients. Univariate analysis indicated that in-hospital mortality, postoperative complications, infective complication rate, and postoperative hospital stay were significantly higher in malnourished and sarcopenic patients. Multivariate analysis found that malnutrition diagnosed by the Global Leadership Initiative on Malnutrition was predictive for complications, infective complications, and postoperative stay (total postoperative complications: odds ratio = 3.620; 95% CI, 1.635-8.015; P = 0.002; infective complications: odds ratio = 3.127; 95% CI, 1.194-8.192; P = 0.020; and postoperative stay: regression coefficient = 2.622; P = 0.022). The Global Leadership Initiative on Malnutrition (muscle mass reduction excluded) identified postoperative complications and postoperative stay (total postoperative complications: odds ratio = 3.364; 95% CI, 1.247-9.075; P = 0.017 and postoperative stay: regression coefficient = 3.547; P = 0.009). Sarcopenia by skeletal muscle index was a risk factor for postoperative complications (odds ratio = 3.366; 95% CI, 1.587-7.140; P = 0.002). CONCLUSION The Global Leadership Initiative on Malnutrition and Global Leadership Initiative on Malnutritison (muscle mass reduction excluded) had predictive value for adverse clinical outcomes due to malnutrition in patients undergoing emergency abdominal surgery.
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Affiliation(s)
- Yue Wu
- Huashan Hospital, Fudan University, Shanghai, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruo-Tao Liu
- Department of Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Yue Zhou
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Fang
- Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China
| | - Dongpin Huang
- Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China
| | - Zhen-Yi Jia
- Department of Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China.
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Tian Y, Li R, Wang G, Xu K, Li H, He L. Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning. BMC Med Inform Decis Mak 2024; 24:11. [PMID: 38184556 PMCID: PMC10770876 DOI: 10.1186/s12911-023-02411-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infectious complications after colorectal cancer surgery in elderly patients based on improved machine learning (ML) using inflammatory and nutritional indicators. METHODS The data of 512 elderly patients with colorectal cancer in the Third Affiliated Hospital of Anhui Medical University from March 2018 to April 2022 were retrospectively collected and randomly divided into a training set and validation set. The optimal cutoff values of NLR (3.80), PLR (238.50), PNI (48.48), LCR (0.52), and LMR (2.46) were determined by receiver operating characteristic (ROC) curve; Six conventional machine learning models were constructed using patient data in the training set: Linear Regression, Random Forest, Support Vector Machine (SVM), BP Neural Network (BP), Light Gradient Boosting Machine (LGBM), Extreme Gradient Boosting (XGBoost) and an improved moderately greedy XGBoost (MGA-XGBoost) model. The performance of the seven models was evaluated by area under the receiver operator characteristic curve, accuracy (ACC), precision, recall, and F1-score of the validation set. RESULTS Five hundred twelve cases were included in this study; 125 cases (24%) had postoperative infectious complications. Postoperative infectious complications were notably associated with 10 items features: American Society of Anesthesiologists scores (ASA), operation time, diabetes, presence of stomy, tumor location, NLR, PLR, PNI, LCR, and LMR. MGA-XGBoost reached the highest AUC (0.862) on the validation set, which was the best model for predicting postoperative infectious complications in elderly patients with colorectal cancer. Among the importance of the internal characteristics of the model, LCR accounted for the highest proportion. CONCLUSIONS This study demonstrates for the first time that the MGA-XGBoost model with 10 risk factors might predict postoperative infectious complications in elderly CRC patients.
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Affiliation(s)
- Yuan Tian
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China
| | - Rui Li
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China
| | - Guanlong Wang
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China
| | - Kai Xu
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China
| | - Hongxia Li
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China
| | - Lei He
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Anhui Medical University (The first people's Hospital of Hefei), Hefei, Anhui, China.
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Ye Y, Wu G, Yuan H, Zheng Y, Wang Y, Guo Q. Prognostic role of preoperative lymphocyte/C-reactive protein associated with upper gastrointestinal cancer: a meta-analysis. Front Oncol 2023; 13:1181649. [PMID: 37849797 PMCID: PMC10578962 DOI: 10.3389/fonc.2023.1181649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/05/2023] [Indexed: 10/19/2023] Open
Abstract
Purpose The lymphocyte/C-reactive protein (LCR) is a novel immunoinflammatory score and prognostic marker, but the relationship between lymphocyte/C-reactive proteins and clinical outcomes in patients with upper gastrointestinal cancers remains controversial. This study aimed to evaluate the relationship between LCR and the prognosis of upper gastrointestinal cancer by systematic evaluation and meta-analysis. Methods We systematically searched PubMed, EMBASE, Cochrane, and Web of Science databases to obtain related studies on the relationship between LCR and esophageal cancer (EC), gastric cancer (GC), and esophagogastric junction cancers (EGJ), and used hazard ratio (HR), 95% confidence interval (95%CI) to evaluate the prognostic value of LCR. Outcome measures included overall survival (OS) and disease-free survival (DFS). Results Eight retrospective cohort studies with 2838 patients were included. Meta-analysis showed that patients with low LCR cancers had poor overall survival OS and disease-free survival DFS (HR=2.18, 95%CI=1.87-2.55; HR=1.88, 95%CI=1.56-2.26). Subgroup analysis based on cancer type, treatment modality, gender, T stage, TNM stage, country, and LCR threshold showed that lower LCR levels were all associated with worse OS and DFS (P<0.05). Conclusion The LCR can be used as a prognostic marker for patients with upper gastrointestinal cancers, and patients with a lower LCR may have a poor prognosis. Due to the limited number of studies included and mostly retrospective studies, the above findings require validation by more high-quality studies. Systematic Review Registration https://www.crd.york.ac.uk, identifier CRD42023392433.
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Affiliation(s)
- Yongjuan Ye
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Guozhi Wu
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Hao Yuan
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ya Zheng
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yuping Wang
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Qinghong Guo
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
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Liu X, Mu Y. Lymphocyte to C-Reactive Protein Ratio as an Early Biomarker to Distinguish Sepsis from Pneumonia in Neonates. J Inflamm Res 2023; 16:3509-3517. [PMID: 37608883 PMCID: PMC10441656 DOI: 10.2147/jir.s424897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023] Open
Abstract
Background Neonatal sepsis is an acute and severe disease that seriously threatens the life and health of newborns. Neonates with pneumonia may also have unrecognized neonatal sepsis. Early diagnosis of neonatal sepsis is beneficial for early treatment. This study aimed to evaluate the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early biomarker to distinguish sepsis from pneumonia. Methods This retrospective study enrolled 1635 neonates with pneumonia from February 2016 to March 2022. Among them, 182 cases were diagnosed with sepsis based on the positive blood culture results. Clinical and laboratory data were extracted from the electronic medical records. LCR was calculated as the ratio of the total lymphocyte count (×109 cells/L) to the C-reactive protein level (mg/L). Binary logistic regression analysis was conducted to evaluate the clinical significance of LCR as an early biomarker in distinguishing sepsis from pneumonia. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic value of LPCR in sepsis cases. All statistical analyses were conducted using Statistical Product and Service Solutions, version 24.0. Results The neonates with pneumonia combined with sepsis had a lower LCR than that of the neonates with pneumonia. Further analysis showed that the prevalence of neonatal pneumonia combined with sepsis was significantly higher in the low-LCR group than in the high-LCR group (20.7% vs 5.5%, P < 001). Binary logistic regression revealed that LCR was an independent risk factor for identifying pneumonia combined with sepsis. The ROC curve analysis revealed that LCR had better power than the lymphocyte count and CRP level individually in diagnosing neonatal pneumonia combined with sepsis (0.72 vs 0.65 vs 0.66, P < 0.001), with 62% sensitivity and 72% specificity. Conclusion LCR can be a potential early biomarker in distinguishing neonates with sepsis from those with pneumonia.
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Affiliation(s)
- Xinrui Liu
- Zhengzhou Key Laboratory of Children’s Infection and Immunity, Children’s Hospital Affiliated to Zhengzhou University, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Zhengzhou, People’s Republic of China
| | - Yuan Mu
- Institute of Thermology, Henan Institute of Metrology and Testing Sciences, Zhengzhou, People’s Republic of China
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Li X, Wei Y, Xu Z, Li T, Dong G, Liu X, Zhu Z, Yang J, Yang J. Lymphocyte-to-C-Reactive Protein Ratio as an Early Sepsis Biomarker for Neonates with Suspected Sepsis. Mediators Inflamm 2023; 2023:9077787. [PMID: 37197571 PMCID: PMC10185419 DOI: 10.1155/2023/9077787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/03/2022] [Accepted: 04/26/2023] [Indexed: 05/19/2023] Open
Abstract
Background Neonatal sepsis is an extremely dangerous and fatal disease among neonates, and its timely diagnosis is critical to treatment. This research is aimed at evaluating the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early sepsis indicator in neonates with suspected sepsis. Methods Between January 2016 and December 2021, 1269 neonates suspected of developing sepsis were included in this research. Among them, sepsis was diagnosed in 819 neonates, with 448 severe cases, as per the International Pediatric Sepsis Consensus. Data related to clinical and laboratory tests were obtained via electronic medical records. LCR was calculated as total lymphocyte (109 cells/L)/C-reactive protein (mg/L). Multivariate logistic regression analysis was employed to evaluate the effectiveness of LCR as an independent indicator for determining sepsis in susceptible sepsis neonates. Receiver operating characteristic (ROC) curve analysis was conducted for investigating the diagnostic significance of LCR in sepsis. When suitable, the statistical tool SPSS 24.0 was used for statistical analyses. Results LCR decreased significantly in the control, mild, and severe sepsis groups. Further analyses exhibited that there was a substantially greater incidence of sepsis in neonates in the low-LCR group (LCR ≤ 3.94) as opposed to the higher LCR group (LCR > 3.94) (77.6% vs. 51.4%, p < 0.001). Correlation analysis indicated a substantial negative association of LCR with procalcitonin (r = -0.519, p < 0.001) and hospital stay duration (r = -0.258, p < 0.001). Multiple logistic regression analysis depicted LCR as an independent indicator for identifying sepsis and severe cases of this disease. ROC curve analysis indicated the optimal cutoff value of LCR in identifying sepsis to be 2.10, with 88% sensitivity and 55% specificity. Conclusions LCR has proven to be a potentially strong biomarker capable of identifying sepsis in a timely manner in neonates suspected to have the disease.
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Affiliation(s)
- Xiaojuan Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Yulei Wei
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Zhe Xu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Tiewei Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
- The Center of Henan Children's Neurodevelopmental Engineering Research, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Geng Dong
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Xinrui Liu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Zhiwei Zhu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Jianwei Yang
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Junmei Yang
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
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Zhang JN, Gao Y, Wang XT, Li NN, Du X, Tang YJ, Lai QQ, Chen PF, Yue CS, Wu JH, Kang K, Zhao MY. Lymphocyte–C-reactive protein ratio can differentiate disease severity of COVID-19 patients and serve as an assistant screening tool for hospital and ICU admission. Front Immunol 2022; 13:957407. [PMID: 36248811 PMCID: PMC9554799 DOI: 10.3389/fimmu.2022.957407] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
In this study, we aimed to explore whether lymphocyte–C-reactive protein ratio (LCR) can differentiate disease severity of coronavirus disease 2019 (COVID-19) patients and its value as an assistant screening tool for admission to hospital and intensive care unit (ICU). A total of 184 adult COVID-19 patients from the COVID-19 Treatment Center in Heilongjiang Province at the First Affiliated Hospital of Harbin Medical University between January 2020 and March 2021 were included in this study. Patients were divided into asymptomatic infection group, mild group, moderate group, severe group, and critical group according to the Diagnosis and Treatment of New Coronavirus Pneumonia (ninth edition). Demographic and clinical data including gender, age, comorbidities, severity of COVID-19, white blood cell count (WBC), neutrophil proportion (NEUT%), lymphocyte count (LYMPH), lymphocyte percentage (LYM%), red blood cell distribution width (RDW), platelet (PLT), C-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum creatinine (SCr), albumin (ALB), total bilirubin (TB), direct bilirubin (DBIL), indirect bilirubin (IBIL), and D-dimer were obtained and collated from medical records at admission, from which sequential organ failure assessment (SOFA) score and LCR were calculated, and all the above indicators were compared among the groups. Multiple clinical parameters, including LYMPH, CRP, and LCR, showed significant differences among the groups. The related factors to classify COVID-19 patients into moderate, severe, and critical groups included age, number of comorbidities, WBC, LCR, and AST. Among these factors, the number of comorbidities showed the greatest effect, and only WBC and LCR were protective factors. The area under the receiver operating characteristic (ROC) curve of LCR to classify COVID-19 patients into moderate, severe, and critical groups was 0.176. The cutoff value of LCR and the sensitivity and specificity of the ROC curve were 1,780.7050 and 84.6% and 66.2%, respectively. The related factors to classify COVID-19 patients into severe and critical groups included the number of comorbidities, PLT, LCR, and SOFA score. Among these factors, SOFA score showed the greatest effect, and LCR was the only protective factor. The area under the ROC curve of LCR to classify COVID-19 patients into severe and critical groups was 0.106. The cutoff value of LCR and the sensitivity and specificity of the ROC curve were 571.2200 and 81.3% and 90.0%, respectively. In summary, LCR can differentiate disease severity of COVID-19 patients and serve as a simple and objective assistant screening tool for hospital and ICU admission.
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Affiliation(s)
- Jian-Nan Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yang Gao
- Department of Critical Care Medicine, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, China
- Institute of Critical Care Medicine, The Sino Russian Medical Research Center of Harbin Medical University, Harbin, China
| | - Xin-Tong Wang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Na-Na Li
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xue Du
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu-Jia Tang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qi-Qi Lai
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Peng-Fei Chen
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chuang-Shi Yue
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ji-Han Wu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kai Kang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
- Institute of Critical Care Medicine, The Sino Russian Medical Research Center of Harbin Medical University, Harbin, China
- *Correspondence: Kai Kang, ; Ming-Yan Zhao,
| | - Ming-Yan Zhao
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
- *Correspondence: Kai Kang, ; Ming-Yan Zhao,
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Zhang H, Wang Y, Ni J, Shi H, Zhang T, Zhang Y, Guo J, Wang K, Mao W, Peng B. Prognostic Value of Lymphocyte-C-Reactive Protein Ratio in Patients Undergoing Radical Cystectomy for Bladder Cancer: A Population-Based Study. Front Oncol 2021; 11:760389. [PMID: 34778081 PMCID: PMC8581644 DOI: 10.3389/fonc.2021.760389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose This study aimed to assess the prognostic value of the lymphocyte–C-reactive protein ratio (LCR) in patients with bladder cancer (BCa) who underwent radical cystectomy (RC). Materials and Methods BCa patients between 2009 and 2018 were retrieved from our medical center. The predictive value of LCR on survival of BCa patients was evaluated through the Kaplan–Meier survival and receiver operating characteristic (ROC) curves. The multivariate Cox regression results were used for conducting the nomogram, which were further verified by ROC, decision curve analysis (DCA), and calibration curves. Propensity score matching (PSM) was performed to validate our findings. Results A total of 201 BCa patients who received RC were included in this study, with 62 (30.8%) patients in the low LCR group and 139 (69.2%) in the high LCR group. Multivariate analysis results revealed that the high LCR group was significantly related to better prognosis and functioned as a prognostic biomarker for overall survival (OS) [hazard ratio (HR) = 0.41, 95% CI, 0.26–0.66; p < 0.001] and disease-free survival (DFS) [HR = 0.40, 95% CI, 0.26–0.66; p < 0.001]. The nomogram processed better predictive capability and accuracy than TNM stage from ROC results (AUC = 0.754 vs. AUC = 0.715), with the confirmation of calibration curves and DCA. The result of PSM confirmed that LCR was significantly correlated with OS and DFS. Conclusion Our finding demonstrates that LCR is a novel, convenient, and effective predictor that may provide vital assistance for clinical decision and individualized therapy in BCa patients after RC.
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Affiliation(s)
- Houliang Zhang
- Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, China
| | - Yidi Wang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jinliang Ni
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huajuan Shi
- Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, China
| | - Tao Zhang
- Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, China
| | - Yifan Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jing Guo
- Department of Obstetrics & Gynecology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Keyi Wang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Weipu Mao
- Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
| | - Bo Peng
- Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, China.,Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
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