Background Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are novel inflammation markers. Their combined usefulness for estimating the prognosis of patients with heart failure with preserved ejection fraction (HFpEF) admitted for acute decompensated heart failure remains elusive. Methods and Results We investigated 1026 patients registered in the Prospective Multicenter Observational Study of Patients with Heart Failure with Preserved Ejection Fraction. Both NLR and PLR values were measured at the time of admission. Comorbidity burden was defined as the number of occurrences of 8 common comorbidities of HFpEF. The primary end point was cardiac death. The patients were stratified into 3 groups based on the optimal cut-off values of NLR and PLR on the receiver operating characteristic curve analysis for predicting cardiac death (low NLR and PLR, either high NLR or PLR, and both high NLR and PLR). After a median follow-up of 429 days, 195 patients died, with 85 of these deaths attributed to cardiac causes. An increased comorbidity burden was significantly associated with a higher proportion of patients with high NLR (>4.5) or PLR (>193), or both. High NLR and PLR values were independently associated with cardiac death, and a combination of both values was the strongest predictor (hazard ratio, 2.66 [95% CI, 1.51%-4.70%], =0.0008). A significant difference was found in the rate of cardiac death among the 3 groups stratified by NLR and PLR values. Conclusions The combination of NLR and PLR is useful for the prediction of postdischarge cardiac death in patients with acute HFpEF. Registration URL: ClinicalTrials.gov; Unique identifier: UMIN000021831.
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http://dx.doi.org/10.1161/JAHA.122.026326 | DOI Listing |
Objectives: To determine the value of preoperative magnetic resonance imaging (MRI) in predicting macrotrabecular-massive hepatocellular carcinoma (MTM-HCC).
Materials And Methods: A search was conducted on PubMed, Web of Science, Cochrane Library databases, and Embase for studies evaluating the performance of MRI in assessing MTM-HCC. The quality assessment of diagnostic studies (QUADAS-2) tool was used to assess the risk of bias.
Front Med (Lausanne)
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State Key Laboratory of Trauma, Burn, and Combined Injury, Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Background: Delirium is a severe neuropsychiatric symptom following acute ischemic stroke (IS) and is associated with poor outcomes. Systemic inflammation and immune dysregulation are believed to contribute to the pathophysiology of delirium. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) are widely recognized as convenient and reliable biomarkers of systemic inflammation.
View Article and Find Full Text PDFFront Oncol
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Department of Oncology, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Objective: This meta-analysis aims to evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) based radiomic features for predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases.
Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, Scopus, Wanfang, and China National Knowledge Infrastructure (CNKI) for studies published up to April 30, 2024. We included those studies that utilized MRI-based radiomic features to detect EGFR mutations in NSCLC patients with brain metastases.
BMC Musculoskelet Disord
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Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China.
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View Article and Find Full Text PDFBMC Cancer
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Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Pancreatic cancer is one of the most malignant tumors with an inferior prognosis. This study aims to determine the prognostic significance of immune-inflammatory scores and coagulation indices in patients with metastatic pancreatic cancer(MPC) and develop a predictive nomogram.
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