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Cui XJ, Xie B, Zhu KW, Liao QQ, Zhou JC, Du S, Liu XX, Chen ZJ, Yang Y, Yi X. Prognostic value of the platelet, neutrophil, monocyte, basophil, and eosinophil to lymphocyte ratios in patients with severe community-acquired pneumonia (SCAP). Sci Rep 2024; 14:30406. [PMID: 39638829 PMCID: PMC11621349 DOI: 10.1038/s41598-024-80727-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 11/21/2024] [Indexed: 12/07/2024] Open
Abstract
Severe community-acquired pneumonia (SCAP) is a serious respiratory inflammation disease with high morbidity and mortality. This study aimed to evaluate the prognostic value of the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR) and eosinophil-to-lymphocyte ratio (ELR) in patients with SCAP. The study retrospectively included 554 patients with SCAP, and the clinical data were obtained from the electronic patient record (EMR) system. The primary outcome was in-hospital mortality, and the secondary outcomes included hospital length of stay (LOS), overall survival (OS), admission to ICU, ICU LOS, and ICU mortality. The results showed that both NLR and BLR were significant but not independent prognostic factors for in-hospital mortality; NLR was negatively correlated with hospital LOS while ELR was positively correlated with hospital LOS; both increased NLR and increased BLR were associated with reduced OS, while increased ELR was associated with improved OS; increased PLR, NLR, MLR, and BLR were all correlated with elevated ICU admission rates, while increased ELR was correlated with a reduced ICU admission rate; ELR was positively correlated with ICU LOS; both higher NLR and higher BLR were associated with increased ICU mortality. In summary, NLR and BLR were useful prognostic factors for clinical outcomes in patients with SCAP.
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Affiliation(s)
- Xiao-Jiao Cui
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Bo Xie
- Department of Cardiology, Chengdu First People's Hospital, No.18 North Wanxiang Road, High-tech District, Chengdu, 610016, Sichuan, China
| | - Ke-Wei Zhu
- Office of Pharmacovigilance, GuangZhou BaiYunShan Pharmaceutical Holdings Co.,Ltd, BaiYunShan Pharmaceutical General Factory, No.88 Yunxiang Road Tonghe Street, Baiyun District, Guangzhou, 510515, Guangdong, China.
| | - Qian-Qian Liao
- Department of Pharmacy, People's Hospital of Guilin, No.12 Civilization Road, Xiangshan District, Guilin, China
| | - Jian-Cheng Zhou
- Department of Pharmacy, Jiangsu Province Hospital, No.300 Guangzhou Road, Gulou District, Nanjing, China
| | - Shan Du
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Xin-Xia Liu
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Zhu-Jun Chen
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Yong Yang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China.
| | - Xiaoqing Yi
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No.32 West Second Section, 1st Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China.
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Noguchi S, Katsurada M, Yatera K, Nakagawa N, Xu D, Fukuda Y, Shindo Y, Senda K, Tsukada H, Miki M, Mukae H. Utility of pneumonia severity assessment tools for mortality prediction in healthcare-associated pneumonia: a systematic review and meta-analysis. Sci Rep 2024; 14:12964. [PMID: 38839837 PMCID: PMC11153623 DOI: 10.1038/s41598-024-63618-3] [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: 05/02/2023] [Accepted: 05/30/2024] [Indexed: 06/07/2024] Open
Abstract
Accurate prognostic tools for mortality in patients with healthcare-associated pneumonia (HCAP) are needed to provide appropriate medical care, but the efficacy for mortality prediction of tools like PSI, A-DROP, I-ROAD, and CURB-65, widely used for predicting mortality in community-acquired and hospital-acquired pneumonia cases, remains controversial. In this study, we conducted a systematic review and meta-analysis using PubMed, Cochrane Library (trials), and Ichushi web database (accessed on August 22, 2022). We identified articles evaluating either PSI, A-DROP, I-ROAD, or CURB-65 and the mortality outcome in patients with HCAP, and calculated the pooled sensitivities, specificities, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the summary area under the curves (AUCs) for mortality prediction. Additionally, the differences in predicting prognosis among these four assessment tools were evaluated using overall AUCs pooled from AUC values reported in included studies. Eventually, 21 articles were included and these quality assessments were evaluated by QUADAS-2. Using a cut-off value of moderate in patients with HCAP, the range of pooled sensitivity, specificity, PLR, NLR, and DOR were found to be 0.91-0.97, 0.15-0.44, 1.14-1.66, 0.18-0.33, and 3.86-9.32, respectively. Upon using a cut-off value of severe in those patients, the range of pooled sensitivity, specificity, PLR, NLR, and DOR were 0.63-0.70, 0.54-0.66, 1.50-2.03, 0.47-0.58, and 2.66-4.32, respectively. Overall AUCs were 0.70 (0.68-0.72), 0.70 (0.63-0.76), 0.68 (0.64-0.73), and 0.67 (0.63-0.71), respectively, for PSI, A-DROP, I-ROAD, and CURB-65 (p = 0.66). In conclusion, these severity assessment tools do not have enough ability to predict mortality in HCAP patients. Furthermore, there are no significant differences in predictive performance among these four severity assessment tools.
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Affiliation(s)
- Shingo Noguchi
- Department of Respiratory Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
- Department of Respiratory Medicine, Tobata General Hospital, Kitakyushu, Japan.
| | - Masahiro Katsurada
- Department of Respiratory Medicine, Kita-Harima Medical Center, Ono, Japan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Natsuki Nakagawa
- Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Dongjie Xu
- Department of Pulmonary and Respiratory Medicine, Japanese Red Cross Sendai Hospital, Sendai, Japan
| | - Yosuke Fukuda
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yuichiro Shindo
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuyoshi Senda
- Department of Pharmacy, Kinjo Gakuin University, Nagoya, Japan
| | - Hiroki Tsukada
- Department of Infection Control, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Makoto Miki
- Department of Pulmonary and Respiratory Medicine, Japanese Red Cross Sendai Hospital, Sendai, Japan
| | - Hiroshi Mukae
- Unit of Translational Medicine, Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
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Qiu X, Wang Q, Zhang Y, Zhao Q, Jiang Z, Zhou L. Prognostic Value of Neutrophils-to-Lymphocytes Ratio and Platelets-to-Lymphocytes Ratio in Sepsis Patients With Lymphopenia. Biomark Insights 2024; 19:11772719231223156. [PMID: 38186669 PMCID: PMC10768602 DOI: 10.1177/11772719231223156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Background Inflammation plays a critical role in sepsis. The integration of neutrophil-to-lymphocyte ratio (NLR) and platelets-to-lymphocytes ratio (PLR) from multiple cell types offers a novel approach to rapidly assess inflammation status. However, the predictive role of NLR and PLR in sepsis with lymphopenia remains uncertain. Objectives The purpose of this study was to explore the prognostic value of NLR and PLR in sepsis patients with lymphopenia. Design and methods In this observational retrospective study, we included 172 sepsis patients with lymphopenia and collected clinical characteristics for analysis. Through binary logistic regression analysis, we identified independent factors. Receiver-operating characteristic curves (ROC) and areas under the curves (AUC) were employed to assess the ability to predict hospital mortality risk. Results Our results showed a total hospital mortality rate of 53.49%. Multivariate analysis demonstrated that NLR (OR = 1.11, P < .001) and PLR (OR = 1.01, P = .003) were independent predictors associated with hospital mortality in sepsis patients with lymphopenia. The AUCs of NLR and PLR were 0.750 (95% CI: 0.634-0.788, P < .001) and 0.662 (95% CI: 0.580-0.743, P < .001), respectively. Notably, an optimal cut-off value of 18.93 for NLR displayed a sensitivity of 75.0% and specificity of 63.0% in discriminating hospital mortality in sepsis patients with lymphopenia, while the optimal cut-off value for PLR was 377.50, with a sensitivity of 67.5% and specificity of 64.1%. Conclusion NLR and PLR serve as independent predictors of hospital mortality in sepsis patients with lymphopenia.
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Affiliation(s)
- Xianming Qiu
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Respiratory Diseases, Jinan, China
| | - Quanzhen Wang
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Anesthesia and Respiratory Critical Medicine, Jinan, China
| | - Yuke Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Respiratory Diseases, Jinan, China
| | - Qiannan Zhao
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Respiratory Diseases, Jinan, China
| | - Zhiming Jiang
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Anesthesia and Respiratory Critical Medicine, Jinan, China
| | - Lei Zhou
- Department of Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Institute of Respiratory Diseases, Jinan, China
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Xiao X, Hong Y, Wang S, Ma M, Xu Z. Diagnostic value of plasma heparin-binding protein and the heparin-binding protein-to-albumin ratio in patients with community-acquired Pneumonia: a retrospective study. BMC Infect Dis 2023; 23:777. [PMID: 37946099 PMCID: PMC10637010 DOI: 10.1186/s12879-023-08762-3] [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: 03/23/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Patients presenting to the emergency department with community-acquired pneumonia (CAP) are characterized by advanced age, comorbidities, critical illness and less-than-typical symptoms, posing a diagnostic challenge. Plasma heparin-binding protein (HBP) and the heparin-binding protein-to-albumin ratio (HBP/Alb) have not been adequately studied in the early diagnosis of CAP. This study assessed the diagnostic value of plasma HBP, HBP/Alb, and conventional inflammatory markers in emergency department patients with CAP. METHODS We enrolled 103 patients with CAP, retrospectively analyzed the patients' clinical data, and divided the CAP patients into antibiotic (n = 79) and non-antibiotic (n = 24) groups based on whether antibiotics were administered prior to blood sampling and laboratory tests. The control group was comprised of 52 non-infected patients admitted during the same period. Within 24 h of admission, plasma HBP, serum procalcitonin (PCT), white blood cell count (WBC), neutrophil-to-lymphocyte ratio (NLR) and HBP/Alb levels were collected separately and compared. The receiver operating characteristic (ROC) curve was plotted to assess the diagnostic value of each indicator for CAP patients. Utilizing the Kappa test, the consistency of each indicator used to evaluate CAP and clinical diagnosis was analyzed. Spearman correlation was used to analyze the correlation between plasma HBP and clinical indicators of CAP patients. RESULTS Plasma HBP, serum PCT, WBC, NLR and HBP/Alb were all elevated in the CAP group in comparison to the control group (P < 0.001). Plasma HBP, serum PCT, WBC, NLR and HBP/Alb levels did not differ statistically between antibiotic and non-antibiotic groups (P > 0.05). Plasma HBP and HBP/Alb had the highest diagnostic accuracy for CAP, the area under the ROC curve (AUC) were 0.931 and 0.938 (P < 0.0001), and the best cut-off values were 35.40 ng/mL and 0.87, respectively. In evaluating the consistency between CAP and clinical diagnosis, the Kappa values for HBP, PCT, WBC, NLR and HBP/Alb were 0.749, 0.465, 0.439, 0.566 and 0.773, respectively. Spearman correlation analysis showed that plasma HBP was positively correlated with serum PCT, WBC, NLR and HBP/Alb in CAP patients (P < 0.001). CONCLUSIONS Plasma HBP and HBP/Alb have a high clinical diagnostic value for CAP and can be used as good and reliable novel inflammatory markers in the emergency department for the early diagnosis of CAP patients.
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Affiliation(s)
- Xueqin Xiao
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of General Practice, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yiyu Hong
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shuo Wang
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Mingliu Ma
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhaozhong Xu
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
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