Relationship between admission neutrophil/lymphocyte, thrombocyte/lymphocyte, and monocyte/lymphocyte ratios and 1-year mortality in geriatric hip fractures: triple comparison

Tekin, Sezgin Bahadır

doi:10.14744/tjtes.2021.94799

Cited by 8 publications

(7 citation statements)

References 24 publications

(44 reference statements)

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“…The PLR has emerged as a notable marker for systemic inflammatory response across various clinical scenarios, including fractures, oncological conditions, and instances of polytrauma. [22][23][24][25] Research indicates that significant trauma triggers heightened platelet activation, thereby initiating a cascade of coagulation and immune responses. [26] Wang et al corroborate this, demonstrating the postoperative PLR as a robust biomarker closely associated with the trauma severity in patients undergoing treatment for bicondylar tibial plateau fractures (TPFs).…”

Section: Discussionmentioning

confidence: 99%

Blister formation in acute compartment syndrome: Unraveling the underlying predictors

Long,

Yang,

Guo

et al. 2024

Medicine

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Blisters are a common complication of orthopedic trauma and can cause surgery delay and increase the risk of infection. This study aims to identify risk factors for blisters in patients with acute compartment syndrome (ACS). Our study collected data from 206 ACS patients admitted to 2 hospitals between November 2013 and January 2021. Patients were divided into 2 groups: the blister group (BG) and the control group (CG), based on the presence or absence of blisters. We conducted univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis to identify any significant differences in demographics, comorbidities, and admission laboratory test results between the 2 groups. Our study found that the incidence of blisters in ACS patients was 21.8% (45 out of 206). Univariate analysis identified several factors that were significantly associated with blister formation. Logistic regression analysis showed that patients who developed ACS in the winter or spring (P = .007, OR = 2.690, 95% CI [1.308–5.534]), patients who received a referral (the process whereby patients are transferred between medical facilities for further evaluation and treatment attempts prior to admission to our hospital) (P = .009, OR = 4.235, 95% CI [1.432–12.527]), and patients with higher PLR (P = .036, OR = 1.005, 95% CI [1.000–1.009]) were independent risk factors for blisters. Additionally, a history of drinking (P = .039, OR = 0.027, 95% CI [0.046–0.927]) was found to be a protective factor for blister formation in these patients. Moreover, ROC curve analysis showed that a PLR value of 138 was the cutoff point for predicting the development of blisters in ACS patients. Our study identified seasonal factors (refer to these months like winter or spring), referral, and patients with higher PLR as independent risk factors, and a history of drinking as a protective factor for blister formation in ACS patients. These findings allow clinicians to individualize the evaluation of blister risk and perform early targeted therapies.

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Section: Discussionmentioning

confidence: 99%

Blister formation in acute compartment syndrome: Unraveling the underlying predictors

Long,

Yang,

Guo

et al. 2024

Medicine

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“…The platelet-to-lymphocyte ratio (PLR) is becoming recognized as an indicator of systemic in ammatory response in fractures, malignant tumors, and polytrauma. [23][24][25][26] The previous study has shown that signi cant trauma often leads to increased platelet (PLT) activation and activity, initiating the coagulation cascade and immunological reactions [27]. Wang et al [23] found that postoperative PLR seems to be a valuable biomarker that correlates strongly with the severity of surgery-related trauma in patients with bicondylar TPFs.…”

Section: Discussionmentioning

confidence: 99%

Predictors of blisters in patients with acute compartment syndrome

Long

Wang

Yang

et al. 2023

Preprint

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Introduction: Blisters, one of the most common complications of orthopedic trauma, can result in surgery delay and increase the risk of infection. This study aimed to identify the risk factors for blisters in patients with acute compartment syndrome (ACS). Methods: We gathered data from two hospitals' 206 ACS patients from November 2013 to January 2021. Patients were divided into the blister group (BG) and the control group (CG) according to whether they had blisters or not. We used univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis to determine the demographics, comorbidities, and admission laboratory tests. Results: In our research, the incidence of blisters was 21.8 % (45 of 206). Univariate analysis showed that numerous factors were releated to the formation of blisters. According to logistic regression analysis, patients who developed ACS in the winter or spring (p = 0.007, OR = 2.690, 95% CI (1.308 to 5.534), patients who received a referral (p = 0.009, OR = 4.235, 95% CI (1.432 to 12.527), and patients with higher PLR (p = 0.036, OR = 1.005, 95% CI (1.000 to 1.009) were independent risk factors for blisters. In addition, a history of drinking (p = 0.039, OR = 0.027, 95% CI (0.046 to 0.927)) represented a protective factor for the formation of blisters in these patients. ROC curve analysis revealed that 138.17 was the cut-off value of PLR to predict the blister. Furthermore, the combination of seasonal factors, PLR, and referral had the highest diagnostic accuracy. Conclusions: Our findings identified seasonal factors, referral, and patients with higher PLR as independent risk factors while a history of drinking as protective factor for blisters in ACS patients, allowing us to individualize the evaluation of the risk of blisters in order to perform early targeted therapies.

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“…18,19 Moreover, previous studies have revealed that admission NLR value could be a prognostic factor for 1-year mortality in elderly patients with hip fracture. 10,20 And also, MLR has been suggested to be associated with poor survival in elderly patients with hip fracture. 8,21 The NLR and MLR are additional inflammationbased markers that have been widely studied in various medical conditions, including cardiovascular diseases and cancer.…”

Section: Inflammation Predict Long-term Mortality After Hip Fracture ...mentioning

confidence: 99%

“… 10 , 20 And also, MLR has been suggested to be associated with poor survival in elderly patients with hip fracture. 8 , 21 The NLR and MLR are additional inflammation‐based markers that have been widely studied in various medical conditions, including cardiovascular diseases and cancer. Both ratios are calculated by dividing the absolute count of neutrophils or monocytes, respectively, by the absolute count of lymphocytes.…”

Section: Inflammation Predict Long‐term Mortality After Hip Fracture ...mentioning

confidence: 99%

Admission Inflammation Markers Influence Long‐term Mortality in Elderly Patients Undergoing Hip Fracture Surgery: A Retrospective Cohort Study

Long,

Yang,

Jin

et al. 2023

Orthopaedic Surgery

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ObjectivesHip fractures in elderly patients are associated with a high mortality rate. Most deaths associated with hip fracture result from complications after surgery. Recent studies suggest that some inflammation biomarkers may be useful to estimate excess mortality. This study aimed to investigate the prognostic value of admission inflammation biomarkers in elderly patients with hip fracture.MethodsWe reports on a retrospective study of elderly hip fracture patients admitted to a hospital in China between January 2015 and December 2019. A total of 1085 patients were included in the study, and their demographic and pre‐operative characteristics were analyzed. The inflammation biomarkers included monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), and C‐reactive protein (CRP) to albumin ratio (CAR). The predictive performance of NLR, MLR and CAR was assessed by receiver operating characteristics (ROC) curve analysis and the association between admission inflammation markers and mortality was evaluated by Cox proportional regression.ResultsThe 30‐day, 1‐year, 2‐year, and 4‐year mortality were 1.6%, 11.5%, 21.4% and 48.9%, respectively. The optimal cut‐off values of admission NLR, MLR and CAR for 1‐year mortality were 7.28, 0.76, and 1.36. After adjusting the covariates, preoperative NLR ≥ 7.28 (HR = 1.419, 95% CI: 1.080–1.864, p = 0.012) were found to be only independent risk factors with 4‐year all‐cause mortality, the preoperative CAR ≥ 1.36 was independently associated with 1‐year (HR = 1.700, 95% CI: 1.173–2.465, p = 0.005), 2 year (HR = 1.464, 95% CI: 1.107–1.936, p = 0.008), and 4‐year (HR = 1.341, 95% CI: 1.057–1.700, p = 0.016) all‐cause mortality, While age, CCI score, and low hemoglobin at admission were also risk factors for postoperative all‐cause mortality.ConclusionAdmission CAR and NLR may be useful indicators for predicting the long‐term mortality of elderly patients undergoing hip fracture surgery, and that more research is needed to validate these findings.

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Relationship between admission neutrophil/lymphocyte, thrombocyte/lymphocyte, and monocyte/lymphocyte ratios and 1-year mortality in geriatric hip fractures: triple comparison

Cited by 8 publications

References 24 publications

Blister formation in acute compartment syndrome: Unraveling the underlying predictors

Blister formation in acute compartment syndrome: Unraveling the underlying predictors

Predictors of blisters in patients with acute compartment syndrome

Admission Inflammation Markers Influence Long‐term Mortality in Elderly Patients Undergoing Hip Fracture Surgery: A Retrospective Cohort Study

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