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Ren H, Zhu M, Yu H, Weng Y, Yu W. Preoperative geriatric nutritional risk index and neutrophil-to-lymphocyte ratio relate to postoperative acute kidney injury in elderly patients undergoing laparoscopic abdominal surgery. Food Nutr Res 2024; 68:10564. [PMID: 38868623 PMCID: PMC11167701 DOI: 10.29219/fnr.v68.10564] [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: 01/28/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 06/14/2024] Open
Abstract
Background Acute kidney injury (AKI) poses a significant concern in elderly patients undergoing laparoscopic abdominal surgery due to increased vulnerability arising from aging, comorbidities, and surgery-related factors. Early detection and intervention are crucial for mitigating short- and long-term consequences. This study aims to investigate the correlation between preoperative Geriatric Nutritional Risk Index (GNRI), neutrophil-to-lymphocyte ratio (NLR), and the occurrence of postoperative AKI in elderly patients undergoing laparoscopic abdominal surgery, as well as to assess the predictive value of their combined detection for postoperative AKI. Methods A retrospective study involving 347 elderly patients (aged 60 years or older) undergoing laparoscopic abdominal surgery explored the relationship between preoperative GNRI, NLR, and postoperative AKI. GNRI was calculated based on serum albumin and body weight ratios, while NLR was derived from preoperative blood tests. Results The combined GNRI and NLR test demonstrated superior predictive value (area under the curve [AUC] = 0.87) compared to individual markers. Multivariate logistic analysis identified age, American Society of Anesthesiologists (ASA) grade, comorbidities, preoperative GNRI, and NLR as independent risk factors for AKI. Correlation analysis affirmed a negative correlation between preoperative GNRI and AKI severity, and a positive correlation between preoperative NLR and AKI severity. Conclusion The preoperative GNRI and NLR have clinical values in predicting postoperative AKI in elderly patients undergoing laparoscopic abdominal surgery.
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Affiliation(s)
- Hengchang Ren
- Department of Anesthesiology, Tianjin First Central Hospital, Tianjin China
| | - Min Zhu
- Department of Anesthesiology, Tianjin First Central Hospital, Tianjin China
| | - Hongli Yu
- Department of Anesthesiology, Tianjin First Central Hospital, Tianjin China
| | - Yiqi Weng
- Department of Anesthesiology, Tianjin First Central Hospital, Tianjin China
| | - Wenli Yu
- Department of Anesthesiology, Tianjin First Central Hospital, Tianjin China
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Luo J, Zhou Y, Song Y, Wang D, Li M, Du X, Kang J, Ye P, Xia J. Association between the neutrophil-to-lymphocyte ratio and in-hospital mortality in patients with chronic kidney disease and coronary artery disease in the intensive care unit. Eur J Med Res 2024; 29:260. [PMID: 38689359 PMCID: PMC11059689 DOI: 10.1186/s40001-024-01850-3] [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: 01/05/2024] [Accepted: 04/18/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND The objective of this study was to investigate the correlation between neutrophil-to-lymphocyte ratios (NLR) and the risk of in-hospital death in patients admitted to the intensive care unit (ICU) with both chronic kidney disease (CKD) and coronary artery disease (CAD). METHODS Data from the MIMIC-IV database, which includes a vast collection of more than 50,000 ICU admissions occurring between 2008 and 2019, was utilized in the study and eICU-CRD was conducted for external verification. The Boruta algorithm was employed for feature selection. Univariable and multivariable logistic regression analyses and multivariate restricted cubic spline regression were employed to scrutinize the association between NLR and in-hospital mortality. The receiver operating characteristic (ROC) curves were conducted to estimate the predictive ability of NLR. RESULTS After carefully applying criteria to include and exclude participants, a total of 2254 patients with CKD and CAD were included in the research. The findings showed a median NLR of 7.3 (4.4, 12.1). The outcomes of multivariable logistic regression demonstrated that NLR significantly elevated the risk of in-hospital mortality (OR 2.122, 95% confidence interval [CI] 1.542-2.921, P < 0.001) after accounting for all relevant factors. Further insights from subgroup analyses unveiled that age and Sequential Organ Failure Assessment (SOFA) scores displayed an interactive effect in the correlation between NLR and in-hospital deaths. The NLR combined with traditional cardiovascular risk factors showed relatively great predictive value for in-hospital mortality (AUC 0.750). CONCLUSION The findings of this research indicate that the NLR can be used as an indicator for predicting the likelihood of death during a patient's stay in the intensive care unit, particularly for individuals with both CAD and CKD. The results indicate that NLR may serve as a valuable tool for assessing and managing risks in this group at high risk. Further investigation is required to authenticate these findings and investigate the mechanisms that underlie the correlation between NLR and mortality in individuals with CAD and CKD.
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Affiliation(s)
- Jingjing Luo
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yufan Zhou
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Song
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Dashuai Wang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Henan Province, 450052, China
| | - Meihong Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100038, China
| | - Xinling Du
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Jihong Kang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100038, China.
| | - Ping Ye
- Department of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
| | - Jiahong Xia
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Lu X, Wang S, Hua X, Chen X, Zhan M, Hu Q, Cao L, Wu Z, Zhang W, Zuo X, Gui R, Fan L, Li J, Shi W, Jin H. Targeting the cGAS-STING Pathway Inhibits Peripheral T-cell Lymphoma Progression and Enhances the Chemotherapeutic Efficacy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306092. [PMID: 38145335 PMCID: PMC10933671 DOI: 10.1002/advs.202306092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/01/2023] [Indexed: 12/26/2023]
Abstract
Peripheral T-cell lymphoma (PTCL) is a highly heterogeneous group of mature T-cell malignancies. The efficacy of current first-line treatment is dismal, and novel agents are urgently needed to improve patient outcomes. A close association between the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway and tumor promotion exists, revealing prospective therapeutic targets. This study, investigates the role of the cGAS-STING pathway and its underlying mechanisms in PTCL progression. Single-cell RNA sequencing showes that the cGAS-STING pathway is highly expressed and closely associated with PTCL proliferation. cGAS inhibition suppresses tumor growth and impaires DNA damage repair. Moreover, Cdc2-like kinase 1 (CLK1) is critical for residual tumor cell survival after treatment with cGAS inhibitors, and CLK1 suppression enhances sensitivity to cGAS inhibitors. Single-cell dynamic transcriptomic analysis indicates reduced proliferation-associated nascent RNAs as the underlying mechanism. In first-line therapy, chemotherapy-triggered DNA damage activates the cGAS-STING pathway, and cGAS inhibitors can synergize with chemotherapeutic agents to kill tumors. The cGAS-STING pathway is oncogenic in PTCL, whereas targeting cGAS suppresses tumor growth, and CLK1 may be a sensitivity indicator for cGAS inhibitors. These findings provide a theoretical foundation for optimizing therapeutic strategies for PTCL, especially in patients with relapsed/refractory disease.
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Affiliation(s)
- Xueying Lu
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Shunan Wang
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Xin Hua
- Department of OncologyAffiliated Hospital of Nantong UniversityNantong226001China
| | - Xiao Chen
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Mengtao Zhan
- Nanjing Aoyin Biotechnology Company LimitedNanjing210043China
| | - Qiaoyun Hu
- Singleron BiotechnologiesNanjing211899China
| | - Lei Cao
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
- Nanjing Pukou Central HospitalPuKou Branch Hospital of Jiangsu Province HospitalNanjing211800China
| | - Zijuan Wu
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Wei Zhang
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Xiaoling Zuo
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Renfu Gui
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Lei Fan
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
| | - Jianyong Li
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
- National Clinical Research Center for Hematologic DiseasesThe First Affiliated Hospital of Soochow UniversitySuzhou215006China
| | - Wenyu Shi
- Department of OncologyAffiliated Hospital of Nantong UniversityNantong226001China
| | - Hui Jin
- Lymphoma Center, Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China
- Key Laboratory of Hematology of Nanjing Medical UniversityNanjing210029China
- Jiangsu Key Lab of Cancer BiomarkersPrevention, and TreatmentCollaborative Innovation Center for Personalized Cancer MedicineNanjing Medical UniversityNanjing210029China
- National Clinical Research Center for Hematologic DiseasesThe First Affiliated Hospital of Soochow UniversitySuzhou215006China
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Solak B, Kara RÖ. Systemic inflammation and its relationship with pruritus in early-stage mycosis fungoides. J Cell Mol Med 2024; 28:e18125. [PMID: 38332520 PMCID: PMC10853580 DOI: 10.1111/jcmm.18125] [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: 11/13/2023] [Revised: 01/02/2024] [Accepted: 01/09/2024] [Indexed: 02/10/2024] Open
Abstract
The underlying mechanisms mycosis fungoides (MF)-related pruritus remain unclear, and the link between pruritus and systemic inflammation in MF is unexplored. We aimed to investigate systemic inflammation in MF patients and its potential connection to pruritus. In this retrospective study, demographic characteristics, MF stage, clinical and laboratory findings, and neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and pan-immune inflammation value (PIV) were assessed for all participants. Additionally, mSWAT scores, Dermatology Life Quality Index (DLQI), and pruritus presence and intensity via Visual Analogue Scale (VAS) scoring were recorded for MF patients. A total of 81 patients with early-stage MF and 50 controls were enrolled. Itching was present in 41 patients (50.6%). NLR, PLR, SII, SIRI and CRP values in the MF group were significantly higher. CRP, NLR, mSWAT and DLQI score were significantly higher in MF patients with pruritus than those without. Pruritus was positively correlated with DLQI, mSWAT, CRP, NLR, MLR and SIRI. VAS score was positively correlated with eosinophil count and DLQI. In the multivariate logistic regression model, only NLR was an independent and significant associate of pruritus in patients with MF. This study provides evidence of enhanced systemic inflammation in early-stage MF patients. Additionally, the correlation between pruritus with mSWAT scores and systemic inflammation parameters suggests a potential link between pruritus and the inflammatory milieu in MF.
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Affiliation(s)
- Berna Solak
- Department of Dermatology, School of MedicineSakarya UniversitySakaryaTurkey
| | - Rabia Öztaş Kara
- Department of Dermatology, School of MedicineSakarya UniversitySakaryaTurkey
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Reynolds G, Anderson MA, Thursky K, Teh BW, Slavin MA. Recommendations on prevention of infections in patients with T-cell lymphomas: a narrative review and synthesis. Leuk Lymphoma 2023; 64:2057-2070. [PMID: 37688482 DOI: 10.1080/10428194.2023.2252945] [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: 06/10/2023] [Revised: 08/02/2023] [Accepted: 08/23/2023] [Indexed: 09/11/2023]
Abstract
T/Natural killer (NK) cell lymphomas (TCL) represent a heterogenous subgroup of non-Hodgkin lymphoma, associated with poorer prognosis and higher treatment toxicity. A cohesive synthesis of infection outcomes among TCL patients is lacking. International guidelines offer no specific recommendations regarding prophylaxis or supportive infection care for TCL patients. This systematic narrative review highlights infection outcomes in TCL patients treated with conventional, and novel therapies. Recommendations for infection screening, antimicrobial prophylaxis and vaccination strategies are outined.
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Affiliation(s)
- Gemma Reynolds
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Infectious Diseases, Austin Health, Melbourne, Victoria, Australia
| | - Mary Ann Anderson
- Department of Clinical Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Karin Thursky
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Benjamin W Teh
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Monica A Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
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6
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Jo J, Son M, Chae Y, Yun T, Koo Y, Lee D, Kang HG, Kang BT, Yang MP, Kim H. T-cell lymphoma infiltrating the uterus and ovaries of a Golden Retriever: a case report. Ir Vet J 2023; 76:23. [PMID: 37700381 PMCID: PMC10498590 DOI: 10.1186/s13620-023-00252-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/06/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND To the best of our knowledge, this is the first report of female genital system infiltration of T-cell lymphoma in veterinary literature. CASE PRESENTATION A 1.5-year-old, intact female Golden Retriever was referred due to melena and hyporexia that lasted for three weeks. Fever (40.5℃), tachycardia, tachypnoea, pale mucous membranes, and purulent vaginal discharge were identified on physical examination. Blood analyses revealed leucocytosis, anaemia, hypoalbuminemia, and increased lactate and C-reactive protein levels. On abdominal radiography, the small intestine was moderately deviated because of an oval-shaped mass (13 cm × 8.7 cm) located in the mid-abdomen. An enlarged tubular-shaped structure that had the opacity of soft tissue located in dorsal to the bladder to the middle of the abdomen, and an oval-shaped mass (5.28 cm × 3.26 cm), which was suspected to be a medial iliac lymph node located at the sixth to seventh lumbar level. Abdominal ultrasonography revealed gas and fluid in the lumen of the uterine horn with a severely thickened wall, round enlarged lymph nodes around the genitourinary system, and free fluid in the abdominal cavity. Based on these results, pyometra was suspected, and an exploratory laparotomy was performed for ovariohysterectomy. The resected ovary and uterus were macroscopically hypertrophied. Histopathological examination of the ovary and uterus revealed neoplastic proliferation of large round cells with strong immunoreactivity for CD3, indicating T-cell lymphoma. Therefore, the young dog was diagnosed with genital lymphoma. CONCLUSIONS The present report describes T-cell lymphoma infiltrating the uterus and ovaries in a young dog, which is rarely diagnosed and could aid in the differential diagnosis of genital diseases in young dogs.
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Affiliation(s)
- Jaeyeop Jo
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Mingyun Son
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Yeon Chae
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Taesik Yun
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Yoonhoi Koo
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
- College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Dohee Lee
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Hyun-Gu Kang
- Laboratory of Veterinary Obstetrics, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Byeong-Teck Kang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Mhan-Pyo Yang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea
| | - Hakhyun Kim
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Chungbuk, Republic of Korea.
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Liu Y, Sheng L, Hua H, Zhou J, Zhao Y, Wang B. An Externally Validated Nomogram for Predicting the Overall Survival of Patients With Diffuse Large B-Cell Lymphoma Based on Clinical Characteristics and Systemic Inflammatory Markers. Technol Cancer Res Treat 2023; 22:15330338231180785. [PMID: 37551117 PMCID: PMC10408319 DOI: 10.1177/15330338231180785] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023] Open
Abstract
Background: Systemic inflammatory indicators are clinically significant in guiding diffuse large B-cell lymphoma (DLBCL) prognosis. However, which inflammatory markers are the best predictors of DLBCL prognosis is still unclear. In this study, we aimed to create a nomogram based on the best inflammatory markers and clinical indicators to predict the overall survival of patients with DLBCL. Patients and methods: We analyzed data from 423 DLBCL patients from two institutions and divided them into a training set, an internal validation set, and an external validation set (n = 228, 97, and 98, respectively). The least absolute shrinkage and selection operator and Cox regression analysis were used to develop nomograms. We assessed model fit using the Akaike information criterion and Bayesian information criterion. The concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the nomogram's predictive performance and clinical net benefit and compared with the International Prognostic Index (IPI) and National Comprehensive Cancer Network (NCCN)-IPI. Results: The inclusion variables for the nomogram model were age, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase level, the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), and β-2 microglobulin (β-2 MG) level. In the training cohort, the nomogram showed better goodness of fit than the IPI and NCCN-IPI. The C-index of the nomogram (0.804, 95% CI: 0.751-0.857) outperformed the IPI (0.690, 95% CI: 0.629-0.751) and NCCN-IPI (0.691, 95% CI: 0.632-0.750). The calibration curve, ROC curve, and DCA curve analysis showed that the nomogram has satisfactory predictive power and clinical utility. Similar results were found in the validation cohort. Conclusion: The nomogram integrated with the clinical characteristics and inflammatory markers is beneficial to predict the prognosis of patients with DLBCL.
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Affiliation(s)
- Yajiao Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Li Sheng
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Haiying Hua
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jingfen Zhou
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Ying Zhao
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Bei Wang
- Institute of Integration of Traditional Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
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Han QY, Zhang X, Zhang JG, Zhou WJ, Chen QY, Chen YY, Yan WH, Lin A. Pre-operative neutrophil-to-lymphocyte ratio is an independent prognostic factor in patients with gastric cancer. Int Immunopharmacol 2022; 113:109371. [DOI: 10.1016/j.intimp.2022.109371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/01/2022] [Accepted: 10/15/2022] [Indexed: 11/05/2022]
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