Prognostic Value of Platelet to Lymphocyte Ratio in Sepsis: A Systematic Review and Meta-analysis

Wang, Gancheng; Mivefroshan, Azam; Yaghoobpoor, Shirin; Khanzadeh, Shokoufeh; Siri, Goli; Rahmani, Farzad; Aleseidi, Samira

doi:10.1155/2022/9056363

Cited by 23 publications

(15 citation statements)

References 73 publications

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“…Therefore, a high platelet-tolymphocyte ratio (PLR) is a promising biomarker for predicting sepsis severity. 20,21 As information from a complete blood count could be helpful in predicting the severity and mortality of various inflammatory disorders, while the prognostic factors in SCARs are still unclear or rely on integrated clinical and laboratory parameters, our study aims to explore whether the data from a basic laboratory assessment could help to predict the HMR in SCAR patients of all phenotypes.…”

Section: Introductionmentioning

confidence: 99%

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Key factors predicting the in‐hospital mortality of patients with severe cutaneous adverse reactions in Thailand

Chuenboonngarm

Puaratanaarunkon

Washrawirul

et al. 2023

Acad Dermatol Venereol

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BackgroundAt present, no predictive models are available to determine the probability of in‐hospital mortality rates (HMRs) in all phenotypes of severe cutaneous adverse reactions (SCARs).ObjectivesOur study explored whether simple clinical and laboratory assessments could help predict the HMRs in any phenotypes of SCAR patients.MethodsFactors influencing HMRs in 195 adults diagnosed with different SCAR phenotypes were identified, and their optimal cut‐offs were determined by Youden's index. Predictive equations for HMRs for all SCAR patients and Stevens‐Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) patients were determined using the exact logistic regression models.ResultsAcute generalized exanthematous pustulosis (AGEP) patients were significantly older, with a short time from drug exposure to reaction, and higher neutrophil count compared to SJS/TEN and drug reaction with eosinophilia and systemic symptoms (DRESS, p < 0.001). Peripheral blood eosinophilia, atypical lymphocytosis and elevated liver transaminase enzymes were significantly higher in DRESS. SJS/TEN phenotype, age ≥ 71.5 years, neutrophil‐to‐lymphocyte ratio ≥ 4.08 (high NLR) and systemic infection were factors predicting in‐hospital mortality in all SCAR subjects. The ALLSCAR model developed from these factors demonstrated high‐diagnostic accuracy for predicting HMRs in all SCAR phenotypes (area under the receiver‐operator curve (AUC) = 0.95). The risk of in‐hospital death was significantly increased in SCAR patients with high NLR after adjusting for systemic infection. The model derived from high NLR, systemic infection and age yielded higher accuracy than SCORTEN (AUC = 0.77) for predicting the HMRs in SJS/TEN patients (AUC = 0.97).ConclusionsBeing older, having systemic infection, having a high NLR and SJS/TEN phenotype increases ALLSCAR scores, which in turn increases the risk of in‐hospital mortality. These basic clinical and laboratory parameters can easily be obtained in any hospital setting. Despite its simple approach, further validation of the model is warranted.

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Section: Introductionmentioning

confidence: 99%

“…Platelet activation also plays a role in the worsening coagulation disorders in systemic inflammatory reactions, and lymphopenia could reflect the immunosuppressive status in severe infections. Therefore, a high platelet‐to‐lymphocyte ratio (PLR) is a promising biomarker for predicting sepsis severity 20,21 …”

Section: Introductionmentioning

confidence: 99%

Key factors predicting the in‐hospital mortality of patients with severe cutaneous adverse reactions in Thailand

Chuenboonngarm

Puaratanaarunkon

Washrawirul

et al. 2023

Acad Dermatol Venereol

View full text Add to dashboard Cite

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“…This is also consistent with our results. In addition, a meta-analysis on the prognostic value of PLR in sepsis [39] showed that high PLR predicts worse prognosis. These are consistent with our results.…”

Section: Discussionmentioning

confidence: 99%

Exogenous administration of appropriate dose of IL-17A helps to improve multiple organ dysfunction and improve survival in septic mice

Liang

Meng

Xie

et al. 2023

Preprint

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Purpose To explore the effect of exogenous interleukin-17A on multi-organ function and prognosis in septic mice. Methods Mice model of sepsis was established by cecal ligation and puncture (CLP) method, and the mice were randomly divided into 8 groups according to different intervention measures: Sham + PBS, CLP + PBS, CLP + 0.25µg IL-17A, CLP + 0.5µg IL-17A, CLP + 1µg IL-17A, CLP + 2µg IL-17A, CLP + 4µg IL-17A and CLP + Anti-IL-17A. Survival rates of each group were monitored and recorded at 12-hour intervals. The blood of each group of mice was collected at each observation node under aseptic condition, and the expression changes of blood routine, related inflammatory cytokines, liver and kidney function indexes. Pathological injuries of lung, liver and kidney of mice in each group were detected by H&E staining, and the evaluation of bacterial translocation in vitro was performed by inoculation medium. Results Except for the sham-operated group, the 7-day survival rate of the mice in the CLP + 1µg IL-17A group was the highest (75%) and exogenous administration of appropriate dose of IL-17A was beneficial to reduce alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN) and creatinine (Cre) in septic mice. The pathological damage of lung, liver and kidney tissue also can be alleviated, and the colony count of peripheral blood and spleen tissue of mice were also significantly decreased. Conclusion Exogenous administration of appropriate dose of IL-17A can improve the bacterial clearance ability of septic mice, and improve the multiple organ dysfunction and 7-day survival rate of the septic mice.

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“…NLR is now widely used in all medical disciplines and is considered to be able to reflect body’s reaction to various external or internal stimuli, and the normal value of NLR was considered to be 1.0–2.0 [ 51 ]. Similarly, PLR also showed potential value in multiple diseases [ 52 , 53 ] and the normal value of PLR was 70–200 [ 51 ]. These indices are calculated from common blood cell count, and the mechanisms behind them are thought to be results of cell functions, including those of neutrophils, lymphocytes, and platelets.…”

Section: Discussionmentioning

confidence: 99%

OCT-Based Biomarkers are Associated with Systemic Inflammation in Patients with Treatment-Naïve Diabetic Macular Edema

et al. 2022

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This cross-sectional study aimed to comprehensively investigate the association between optical coherence tomography (OCT) biomarkers and systemic inflammation in patients with diabetic macular edema (DME), which is short of research and well worth attention.This study found that hyperreflective foci (HRF) are positively associated with systemic immune-inflammatory index (SII) in multivariable regression models, while other OCT biomarkers are not significantly related to systemic inflammation in the current study.Systemic inflammatory markers might be helpful for DME classification and treatment decision.

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Prognostic Value of Platelet to Lymphocyte Ratio in Sepsis: A Systematic Review and Meta-analysis

Cited by 23 publications

References 73 publications

Key factors predicting the in‐hospital mortality of patients with severe cutaneous adverse reactions in Thailand

Key factors predicting the in‐hospital mortality of patients with severe cutaneous adverse reactions in Thailand

Exogenous administration of appropriate dose of IL-17A helps to improve multiple organ dysfunction and improve survival in septic mice

OCT-Based Biomarkers are Associated with Systemic Inflammation in Patients with Treatment-Naïve Diabetic Macular Edema

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