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Wang H, Huang Z, Xu B, Zhang J, He P, Gao F, Zhang R, Huang X, Shan M. The predictive value of systemic immune-inflammatory markers before and after treatment for pathological complete response in patients undergoing neoadjuvant therapy for breast cancer: a retrospective study of 1994 patients. Clin Transl Oncol 2024; 26:1467-1479. [PMID: 38190034 DOI: 10.1007/s12094-023-03371-7] [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: 10/20/2023] [Accepted: 12/06/2023] [Indexed: 01/09/2024]
Abstract
PURPOSE Systemic immune-inflammatory markers have a certain predictive role in pathological complete response (pCR) after neoadjuvant treatment (NAT) in breast cancer. However, there is a lack of research exploring the predictive value of markers after treatment. METHODS This retrospective study collected data from 1994 breast cancer patients who underwent NAT. Relevant clinical and pathological characteristics were included, and pre- and post-treatment complete blood cell counts were evaluated to calculate four systemic immune-inflammatory markers: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII). The optimal cutoff values for these markers were determined using ROC curves, and patients were classified into high-value and low-value groups based on these cutoff values. Univariate and multivariate logistic regression analyses were conducted to analyze factors influencing pCR. The factors with independent predictive value were used to construct a nomogram. RESULTS After NAT, 383 (19.2%) patients achieved pCR. The area under the ROC curve is generally larger for post-treatment markers compared to pre-treatment markers. Pre-treatment NLR and PLR, as well as post-treatment LMR and SII, were identified as independent predictive factors for pCR, along with Ki-67, clinical tumor stage, clinical lymph node stage, molecular subtype, and clinical response. Higher pre-NLR (OR = 1.320; 95% CI 1.016-1.716; P = 0.038), pre-PLR (OR = 1.474; 95% CI 1.058-2.052; P = 0.022), post-LMR (OR = 1.532; 95% CI 1.175-1.996; P = 0.002), and lower post-SII (OR = 0.596; 95% CI 0.429-0.827; P = 0.002) are associated with a higher likelihood of achieving pCR. The established nomogram had a good predictive performance with an area under the ROC curve of 0.754 (95% CI 0.674-0.835). CONCLUSION Both pre- and post-treatment systemic immune-inflammatory markers have a significant predictive role in achieving pCR after NAT in breast cancer patients. Indeed, it is possible that post-treatment markers have stronger predictive ability compared to pre-treatment markers.
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Affiliation(s)
- Huibo Wang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Zhenfeng Huang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Bingqi Xu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Jinxing Zhang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Pengfei He
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Fei Gao
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Ruifeng Zhang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Xiatian Huang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Ming Shan
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China.
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Pang J, Ding N, Yin N, Xiao Z. Systemic immune-inflammation index as a prognostic marker in HER2-positive breast cancer patients undergoing trastuzumab therapy. Sci Rep 2024; 14:6578. [PMID: 38503890 PMCID: PMC10951263 DOI: 10.1038/s41598-024-57343-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/18/2024] [Indexed: 03/21/2024] Open
Abstract
The prognostic value of SII (Systemic Immune-Inflammation Index) in HER-2-positive breast cancer (BC) patients, regardless of whether they receive trastuzumab treatment, and its potential value to distinguish patients who may benefit from trastuzumab therapy, warrant further investigation. Clinical data was collected from 797 HER-2-positive BC patients between July 2013 and March 2018. Baseline data differences were adjusted with propensity score matching. Univariate and multivariate analyses explored the correlation between clinical pathological factors, SII, and DFS. Four groups were established. Based on the baseline SII values of the participants, patients who did not receive trastuzumab treatment were divided into Group 1 (Low-SII) and Group 2 (High-SII), where SII had no predictive value for prognosis between groups. Participants who received trastuzumab treatment were also divided into two groups: the Low-SII group (Group 3) and the High-SII group (Group 4). The 5-year DFS was significantly higher in Group 3 than in Group 4 (91.76% vs. 82.76%, P = 0.017). Furthermore, multivariate analysis demonstrated a significant association between high SII and shorter DFS (HR = 3.430, 95% CI = 1.830-6.420, P < 0.001). In HER-2-positive BC patients treated with trastuzumab, those with lower SII showed a longer DFS, suggesting that SII may help in identifying patients who benefit from trastuzumab therapy.
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Affiliation(s)
- Jian Pang
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Nianhua Ding
- Department of Clinical Laboratory, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Nana Yin
- Department of Operating Room, First People's Hospital of Changde, Changde, China
| | - Zhi Xiao
- Department of Breast Surgery, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China.
- Clinical Research Center for Breast Cancer in Hunan Province, Changsha, China.
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Mangalesh S, Dudani S, Mahesh NK. Development of a Novel Inflammatory Index to Predict Coronary Artery Disease Severity in Patients With Acute Coronary Syndrome. Angiology 2024; 75:231-239. [PMID: 36629740 DOI: 10.1177/00033197231151564] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) have previously demonstrated predictive value in coronary artery disease (CAD). We developed on an expanded, novel systemic immune-inflammation response index (SIIRI), calculated as peripheral neutrophil × monocyte × platelet ÷ lymphocyte count. We assessed 240 patients with an acute coronary syndrome that subsequently underwent percutaneous coronary intervention. CAD severity was measured using the SYNTAX score. Laboratory measurements, including cell counts, were obtained on admission. On multivariate analysis, the SIIRI was an independent predictor of severe CAD with an adjusted odds ratio (OR) of 1.666 [1.376-2.017] per 105-unit increase. The SIIRI had the highest area under the receiver operator curve of .771 [.709-.833] compared to the SII, SIRI neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio. The optimal cut-off for SIIRI was 4.3 × 105, with sensitivity = 69.9% and specificity = 75.8%. Increment in model performance resulting from adding SIIRI versus other inflammatory indices was assessed using discrimination, calibration, and goodness-of-fit measures. When added to a baseline model, the SIIRI resulted in a significant increase in the c-statistic and significant net reclassification index (.808, P < .0001) and integrated discrimination index (.129, P < .0001), and a decrease in Akaike and Bayesian information criteria.
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Affiliation(s)
- Sridhar Mangalesh
- Department of Medicine, Army College of Medical Sciences, New Delhi, India
| | - Sharmila Dudani
- Department of Pathology, Army College of Medical Sciences, New Delhi, India
| | - Nalin K Mahesh
- Department of Cardiology, Army College of Medical Sciences, New Delhi, India
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Xie J, Guo Z, Zhu Y, Ma M, Jia G. Peripheral blood inflammatory indexes in breast cancer: A review. Medicine (Baltimore) 2023; 102:e36315. [PMID: 38050296 PMCID: PMC10695498 DOI: 10.1097/md.0000000000036315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/03/2023] [Indexed: 12/06/2023] Open
Abstract
Immune and inflammatory responses play an important role in tumorigenesis and metastasis. Inflammation is an important component of the tumor microenvironment, and the changes in inflammatory cells may affect the occurrence and development of tumors. Complete blood count at the time of diagnosis and treatment can reflect the inflammatory status within the tumor. Studies have shown that the number of certain inflammatory cells in peripheral blood and their ratios are important prognostic factors for many malignancies, including neutrophil, lymphocyte, monocyte, and platelet counts, as well as neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, systemic inflammation response index and pan-immune-inflammation-value. The value of peripheral blood inflammation indexes in predicting the efficacy and prognosis of breast cancer neoadjuvant therapy is worth recognizing. This review details the application of peripheral blood inflammation indexes in the evaluation of efficacy and prediction of prognosis in neoadjuvant therapy for breast cancer, aiming to provide a more comprehensive reference for the comprehensive diagnosis and treatment of breast cancer.
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Affiliation(s)
- Jiaqiang Xie
- Department of Breast and Thyroid Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
- School of Clinical Medicine, Henan University, Kaifeng, Henan, China
| | - Zhenxi Guo
- Department of Breast and Thyroid Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
- School of Clinical Medicine, Henan University, Kaifeng, Henan, China
| | - Yijing Zhu
- Department of Breast and Thyroid Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
- School of Clinical Medicine, Henan University, Kaifeng, Henan, China
| | - Mingde Ma
- Department of Breast and Thyroid Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Guangwei Jia
- Department of Thyroid and Breast Surgery, Nanyang First People’s Hospital Affiliated to Henan University, Nanyang, Henan, China
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Jiang D, Bian T, Shen Y, Huang Z. Association between admission systemic immune-inflammation index and mortality in critically ill patients with sepsis: a retrospective cohort study based on MIMIC-IV database. Clin Exp Med 2023; 23:3641-3650. [PMID: 36930382 PMCID: PMC10022570 DOI: 10.1007/s10238-023-01029-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/13/2023] [Indexed: 03/18/2023]
Abstract
Systemic immune-inflammation index (SII) has been identified as a prognostic biomarker for various diseases. Our study aimed to investigate the association between SII and mortality risk in critically ill patients with sepsis, thus exploring possible tools for rapid screening. This retrospective cohort study was conducted using clinical data extracted from the Medical Information Mart for Intensive Care Database. The study included only patients diagnosed with sepsis admitted to the intensive care unit for the first time. We used the restricted cubic splines to explore the relationship between SII and 28-day mortality. Kaplan-Meier curve and Cox regression models were performed to evaluate the association between SII and mortality. Subgroup analysis was performed to explore the stability of the primary results. A total of 16,007 patients with sepsis were eligible in the final analysis. We found a J-shaped relationship between SII and mortality risk. The SII level associated with the lowest mortality risk was 774.46*109/L. Compared with the reference group (second SII quartile), the 28-day mortality was increased in the highest quartile and third quartile groups of SII levels; fully adjusted HRs were 1.16 (1.02 to 1.32) and 1.40 (1.23 to 1.58), respectively. However, although the lower SII (Q1 group) also showed a trend toward a higher hazard of 28-day mortality, there was no statistical difference, with a fully adjusted HR of 1.05 (0.92 to 1.21). In the population of critically ill patients with sepsis, low and high SII levels were associated with an increased risk of short-term mortality. The 28-day mortality risk was lowest at SII levels of 774.46*109/L.
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Affiliation(s)
- Daishan Jiang
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, 226001 Jiangsu China
| | - Tingting Bian
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, 226001 Jiangsu China
| | - Yanbo Shen
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, 226001 Jiangsu China
| | - Zhongwei Huang
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, 226001 Jiangsu China
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Yang C, Li ZQ, Wang J. Association between systemic immune-inflammation index (SII) and survival outcome in patients with primary glioblastoma. Medicine (Baltimore) 2023; 102:e33050. [PMID: 36800573 PMCID: PMC9936030 DOI: 10.1097/md.0000000000033050] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
Abstract
The purpose was to evaluate the prognostic value of systemic immune-inflammation index (SII) in glioblastoma patients. A total of 100 patients were retrospectively analyzed. We performed Kaplan-Meier and Cox regression analyses to determine the prognostic significance of SII. A nomogram was constructed by incorporating independent prognostic variables. The predictive accuracies of nomograms were evaluated by Harrell concordance index (c-index) and receiver operating characteristic curve analysis; the clinical benefit was evaluated by decision curve analysis. A high SII (>510.8 × 109 cells/L) (hazard ratio = 1.672, P = .034) and neutrophil count (>3.9 × 109 cells/L) (hazard ratio = 1.923, P = .009) were independently related with poor outcome in glioblastoma patients based on Cox analysis. The nomogram incorporating SII showed a good predictive accuracy (c-index = 0.866). Preoperative SII and neutrophil count are potential prognostic biomarkers for overall survival in glioblastoma patients and the nomogram model that integrated the SII may be used to facilitate a comprehensive preoperative survival evaluation.
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Affiliation(s)
- Chao Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhi-Qiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jie Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
- * Correspondence: Jie Wang, Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430072, China (e-mail: )
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Liu Y, Ouyang W, Huang H, Tan Y, Zhang Z, Yu Y, Yao H. Identification of a tumor immune-inflammation signature predicting prognosis and immune status in breast cancer. Front Oncol 2023; 12:960579. [PMID: 36713514 PMCID: PMC9881411 DOI: 10.3389/fonc.2022.960579] [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: 06/03/2022] [Accepted: 11/24/2022] [Indexed: 01/15/2023] Open
Abstract
Background Breast cancer has become the malignancy with the highest mortality rate in female patients worldwide. The limited efficacy of immunotherapy as a breast cancer treatment has fueled the development of research on the tumor immune microenvironment. Methods In this study, data on breast cancer patients were collected from The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohorts. Differential gene expression analysis, univariate Cox regression analysis, and least absolute shrinkage and selection operator (LASSO) Cox regression analysis were performed to select overall survival (OS)-related, tumor tissue highly expressed, and immune- and inflammation-related genes. A tumor immune-inflammation signature (TIIS) consisting of 18 genes was finally screened out in the LASSO Cox regression model. Model performance was assessed by time-dependent receiver operating characteristic (ROC) curves. In addition, the CIBERSORT algorithm and abundant expression of immune checkpoints were utilized to clarify the correlation between the risk signature and immune landscape in breast cancer. Furthermore, the association of IL27 with the immune signature was analyzed in pan-cancer and the effect of IL27 on the migration of breast cancer cells was investigated since the regression coefficient of IL27 was the highest. Results A TIIS based on 18 genes was constructed via LASSO Cox regression analysis. In the TCGA-BRCA training cohort, 10-year AUC reached 0.89, and prediction performance of this signature was also validated in the METABRIC set. The high-risk group was significantly correlated with less infiltration of tumor-killing immune cells and the lower expression level of the immune checkpoint. Furthermore, we recommended some small-molecule drugs as novel targeted drugs for new breast cancer types. Finally, the relationship between IL27, a significant prognostic immune and inflammation cytokine, and immune status was analyzed in pan-cancer. Expression of IL27 was significantly correlated with immune regulatory gene expression and immune cell infiltration in pan-cancer. Furthermore, IL27 treatment improved breast cancer cell migration. Conclusion The TIIS represents a promising prognostic tool for estimating OS in patients with breast cancer and is correlated with immune status.
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Affiliation(s)
- Yajing Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wenhao Ouyang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hong Huang
- School of Medicine, Guilin Medical College, Guilin, China
| | - Yujie Tan
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zebang Zhang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yunfang Yu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China,Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China,*Correspondence: Herui Yao, ; Yunfang Yu,
| | - Herui Yao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Center, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China,*Correspondence: Herui Yao, ; Yunfang Yu,
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Yang C, Hu BW, Tang F, Zhang Q, Quan W, Wang J, Wang ZF, Li YR, Li ZQ. Prognostic Value of Systemic Immune-Inflammation Index (SII) in Patients with Glioblastoma: A Comprehensive Study Based on Meta-Analysis and Retrospective Single-Center Analysis. J Clin Med 2022; 11:jcm11247514. [PMID: 36556130 PMCID: PMC9787672 DOI: 10.3390/jcm11247514] [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: 11/19/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022] Open
Abstract
Inflammation is related to cancer. The systemic immune-inflammation index (SII) has been linked to the prognosis of many types of cancer. The present study aimed to determine the prognostic value of the SII in glioblastoma (GBM) patients based on meta-analysis and single-center retrospective analysis. Relevant publications published before 1 October 2022 were identified by searching PubMed, EMBASE, Cochrane Library databases, and Web of Science. Moreover, 208 GBM patients from Zhongnan Hospital were incorporated. Kaplan−Meier and Cox regression analyses determined the prognostic significance of inflammatory markers. By combining these indicators, we developed scoring systems. Nomograms were also built by incorporating independent variables. The accuracies of nomograms were evaluated by Harrell’s concordance index (c-index) and the calibration curve. According to meta-analysis, an elevated SII predicted the worst overall survival (OS) (Hazard ratio [HR] = 1.87, p < 0.001). Furthermore, a higher SII (>510.8) (HR = 1.782, p = 0.007) also predicted a poorer outcome in a retrospective cohort. The scoring systems of SII-NLR (neutrophil-to-lymphocyte ratio) showed the best predictive power for OS. The nomogram without MGMT (c-index = 0.843) exhibited a similar accuracy to that with MGMT (c-index = 0.848). A pre-treatment SII is independently associated with OS in GBM. A nomogram integrating the SII-NLR score may facilitate a comprehensive survival evaluation independent of molecular tests in GBM.
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Affiliation(s)
- Chao Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Bo-Wen Hu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Feng Tang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Qing Zhang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Wei Quan
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Jie Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Ze-Fen Wang
- Department of Physiology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Yi-Rong Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
- Correspondence: (Y.-R.L.); (Z.-Q.L.); Tel.: +86-027-6781-3052 (Y.-R.L.); +86-18907123005 (Z.-Q.L.)
| | - Zhi-Qiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
- Correspondence: (Y.-R.L.); (Z.-Q.L.); Tel.: +86-027-6781-3052 (Y.-R.L.); +86-18907123005 (Z.-Q.L.)
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Lu M, Gong L, Huang C, Ye M, Wang H, Liu Y, Liu D. Analysis of Clinical Characteristics of Connective Tissue Disease-Associated Interstitial Lung Disease in 161 Patients: A Retrospective Study. Int J Gen Med 2022; 15:8617-8625. [PMID: 36545245 PMCID: PMC9762753 DOI: 10.2147/ijgm.s391146] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Objective This study was conducted to retrospectively analyze the clinical characteristics of CTD-ILD patients to provide strategies for clinical management. Methods This study collected and analyzed the clinical data and relevant examination results of 161 patients diagnosed with CTD-ILD between 01 January 2018 and 01 January 2021. Results A total of 161 CTD-ILD patients, 74.53% were females and 25.47% were males, 32.92% were elderly and 67.08% were non-elderly. The main clinical symptoms of CTD-ILD patients were cough (44.72%), decreased activity tolerance (40.37%). RA-ILD was the most common one in the non-elderly and the elderly CTD-ILD patients (48.15% and 50.94%, respectively). Compared with non-elderly, elderly patients with CTD-ILD had a longer duration of CTD (p=0.04). However, fatigue (p=0.005), activity tolerance (p=0.029), the incidence of pulmonary diffusion dysfunction (p=0.047), and systemic immunoinflammatory index (SII, p=0.014) (platelet × NLR) were all decreased. The standard deviation of red blood cell distribution width (RDW) (p=0.024) and immunoglobulin (IgA) (p=0.033) was significantly increased. The smoking index was significantly higher in men than in women with CTD-ILD (p=0.000), but symptoms of reduced activity tolerance were less pronounced than in women (p<0.05). Elderly CTD-ILD patients (p=0.003) and women from non-elderly patients were prone to lower hemoglobin (p=0.000). Among the elderly, the lymphocyte ratio was more significantly elevated in female CTD-ILD patients than in males (p=0.018). In contrast, neutrophil to lymphocyte ratio (NLR) and SII were lower in female (p=0.038) than in male CTD-ILD patients (p=0.043). Conclusion CTD-ILD mainly affects non-elderly and women. Age may not be involved with decreased activity tolerance and increased lung function impairment in CTD-ILD patients. However, the elderly patients with CTD-ILD, especially the elderly female patients with low inflammation levels and high immune disorders, have a poor prognosis.
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Affiliation(s)
- Mingjie Lu
- Department of Respiratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi, Guizhou, 563000, People’s Republic of China
| | - Ling Gong
- Department of Respiratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi, Guizhou, 563000, People’s Republic of China
| | - Chengyan Huang
- Department of Respiratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi, Guizhou, 563000, People’s Republic of China
| | - Meng Ye
- Scientific Research Center, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi, Guizhou, 563000, People’s Republic of China
| | - Hongping Wang
- Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China
| | - Yi Liu
- Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China
| | - Daishun Liu
- Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China,Correspondence: Daishun Liu, Zunyi Medical University, No. 6 Xuefu West Road, Xinpu New District, Zunyi, Guizhou, 563000, People’s Republic of China, Email
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Mangalesh S, Dudani S, Malik A. The systemic immune-inflammation index in predicting sepsis mortality. Postgrad Med 2022; 135:345-351. [PMID: 36287784 DOI: 10.1080/00325481.2022.2140535] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND The systemic immune-inflammation index (SII) is a novel parameter and its role in the prognosis of sepsis has never been explored previously. METHODS We retrospectively assessed 267 patients with blood-culture confirmed sepsis. Clinical and laboratory data recorded at intensive care unit (ICU) admission were analyzed. Outcomes of interest included in-hospital mortality and length-of-stay (LOS) in the ICU. Sequential Organ Failure Assessment (SOFA) scores, SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were calculated. Multivariable regression analysis was used to identify independent predictors of LOS and mortality. Area under receiver operator characteristic (AUROC) curves were used to determine optimum cutoffs, and the incremental effect of SII on the SOFA score was assessed using model discrimination and calibration properties. RESULTS There were 76 (28.5%) non-survivors. SII, NLR, and PLR were independent predictors of sepsis mortality, with adjusted odds ratios of 1.51 (1.24-1.84), 1.67 (1.30-2.13) and 1.24 (1.11-1.39). SII and SOFA score were independent predictors of LOS. SII had an AUROC of 0.848, and the optimum cutoff was 564 with a sensitivity and specificity of 85.5% and 71.2%. The addition of SII to the model had a significant incremental effect on the predictive ability of SOFA score (Net Reclassification Index = 0.084, P = 0.025; Integrated Discrimination Index = 0.056, P = 0.001). CONCLUSION The SII is an inexpensive parameter that can be used in addition to clinical sepsis scores to improve the accuracy of patient assessment.
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Affiliation(s)
- Sridhar Mangalesh
- Department of Medicine, Army College of Medical Sciences, New Delhi, India
| | - Sharmila Dudani
- Department of Pathology, Army College of Medical Sciences, New Delhi, India
| | - Ajay Malik
- Department of Pathology, Army College of Medical Sciences, New Delhi, India
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Urbanowicz T, Michalak M, Olasińska-Wiśniewska A, Rodzki M, Witkowska A, Gąsecka A, Buczkowski P, Perek B, Jemielity M. Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery. Cells 2022; 11:cells11071124. [PMID: 35406687 PMCID: PMC8997598 DOI: 10.3390/cells11071124] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 02/06/2023] Open
Abstract
Background: Several perioperative inflammatory markers are postulated to be significant factors for long-term survival after off-pump coronary artery bypass surgery (OPCAB). Hematological parameters, whether single or combined as indices, provide higher predictive values. Methods: The study group comprised 538 consecutive patients (125 (23%) females and 413 (77%) males) with a mean age of 65 ± 9 years, who underwent OPCAB with a mean follow-up time of 4.7 ± 1.7 years. This single-center retrospective analysis included perioperative inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), aggregate index of systemic inflammation (AISI), and systemic inflammatory index (SII). Results: Multivariable analysis identified levels of neutrophils above 4.3 × 109/L (HR 13.44, 95% CI 1.05−3.68, p = 0.037), values of SIRI above 5.4 (HR 0.29, 95% CI 0.09−0.92, p = 0.036) and values of NLR above 3.5 (HR 2.21, 95% CI 1.48−3.32, p < 0.001) as being significant predictors of long-term mortality. The multifactorial models revealed the possibility of strong prediction by combining preoperative factors (COPD, stroke, PAD, and preoperative PLR) and postoperative neutrophil counts (p = 0.0136) or NLR (p = 0.0136) or SIRI (p = 0.0136). Conclusions: Among the postoperative inflammatory indices, the levels of neutrophils, NLR, and SIRI are the most prominent markers for long-term survival after off-pump coronary artery bypass surgery, when combined with preoperative characteristics.
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Affiliation(s)
- Tomasz Urbanowicz
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
- Correspondence: ; Tel.: +48-61-854-9210
| | - Michał Michalak
- Department of Computer Science and Statistics, Poznan University of Medical Sciences, 61-806 Poznan, Poland;
| | - Anna Olasińska-Wiśniewska
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
| | - Michał Rodzki
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
| | - Anna Witkowska
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
| | - Aleksandra Gąsecka
- 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland;
| | - Piotr Buczkowski
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
| | - Bartłomiej Perek
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
| | - Marek Jemielity
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland; (A.O.-W.); (M.R.); (A.W.); (P.B.); (B.P.); (M.J.)
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