Predictivity of the Prognostic Nutritional Index and Systemic Inflammation Index for All-Cause In-Hospital Mortality in Geriatric and Adult COVID-19 Inpatients

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(15), P. 4466 - 4466

Published: July 30, 2024

Background: The prognostic nutritional index (PNI) and the systemic immune inflammation (SII) have been used as simple risk-stratification predictors for COVID-19 severity mortality in general population. However, associations between these indices might differ due to age-related changes such inflammaging several comorbid conditions older patients. Therefore, we aimed compare predictivity of PNI SII among hospitalized patients under 65 years old. Methods: Patients with from March 2020 December were retrospectively included. calculated hospital records within first 48 h after admission. Data evaluated whole group according age groups (≥65 < years). Receiver operating characteristic curves drawn evaluate SII. Results: Out 407 included this study, 48.4% (n = 197) patients, 51.6% 210) For mortality, area curve (AUC) adult (<65 years) was 0.706 (95% CI 0.583–0.828) (p 0.003) 0.697 0.567–0.827) 0.005), respectively. AUC 0.515 0.427–0.604) 0.739) 0.500 0.411–0.590) 0.993). Conclusions: accuracy predicting seemed be fair, but no association found geriatric study. varies groups.

Language: Английский

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The Role of Lung Ultrasound in SARS-CoV-19 Pneumonia Management

Diagnostics, Journal Year: 2022, Volume and Issue: 12(8), P. 1856 - 1856

Published: July 31, 2022

Purpose: We aimed to assess the role of lung ultrasound (LUS) in diagnosis and prognosis SARS-CoV-2 pneumonia, by comparing it with High Resolution Computed Tomography (HRCT). Patients methods: All consecutive patients laboratory-confirmed infection hospitalized COVID Centers were enrolled. LUS HRCT carried out on all expert operators within 48−72 h admission. A four-level scoring system computed 12 regions chest was used categorize imaging, from 0 (absence visible alterations ultrasound) 3 (large consolidation cobbled pleural line). Likewise, a semi-quantitative for estimate pulmonary involvement, (no involvement) 5 (>75% involvement each lobe). The total CT score sum individual lobar scores ranged 25. scans evaluated according dedicated system. assessed typical findings COVID-19 pneumonia (bilateral, multi-lobar infiltration, posterior peripheral ground glass opacities). Oxygen requirement mortality also recorded. Results: Ninety-nine included study (male 68.7%, median age 71). 40.4% required Venturi mask 25.3% non-invasive ventilation (C-PAP/Bi-level). overall rate 21.2% (median hospitalization 30 days). thoracic 28 (IQR 20−36). For evaluation, mean 12.63 (SD 5.72), most having 2 (59.6%). bivariate correlation analysis displayed statistically significant high positive correlations between both composite ventilation, lactates, phenotype, tachycardia, dyspnea, mortality. Moreover, relevant clinically important inverse proportionality terms P/F, i.e., decrease P/F levels, indicative higher LUS/CT scores. Inverse levels TC univariate analysis, P/F−TC coefficient −0.762, p < 0.001, P/F−LUS −0.689, 0.001. Conclusions: show synergistic disease severity evaluation COVID-19.

Language: Английский

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Meta-analysis of the systemic immune-inflammatory index and in-hospital mortality of COVID-19 patients

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23441 - e23441

Published: Dec. 8, 2023

The potential significance of immunoinflammatory factors in the prognosis individuals afflicted with coronavirus disease 2019 (COVID-19) is worthy examination. systemic immune-inflammatory index (SII), a recently developed metric based on enumeration neutrophils, platelets, and lymphocytes blood samples, holds promise for elucidating this relationship. Consequently, order to explore any possible correlation between SII levels at admission in-hospital mortality patients COVID-19, we undertook thorough systematic review meta-analysis.

Language: Английский

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The Prognostic Role of Neutrophil-to-Lymphocyte Ratio, Monocyte-to-Lymphocyte Ratio, and Platelet-to-Lymphocyte Ratio in the Risk of Major Adverse Cardiovascular Events and Mortality in Patients with COVID-19: a State-of-the-Art Review

Journal of Cardiovascular Emergencies, Journal Year: 2024, Volume and Issue: 10(2), P. 61 - 70

Published: June 1, 2024

Abstract Coronavirus disease (COVID-19) is a viral infection caused by SARS-CoV-2 that has become global health emergency with negative impact on patient care. The evolution of patients COVID-19 unpredictable, an unfavorable in the case comorbidities. This state-of-the-art review focuses role hematological inflammatory biomarkers: neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte (MLR), and platelet-to-lymphocyte (PLR) predicting major adverse cardiovascular events (MACE) mortality COVID-19. In this review, we included 21 studies investigated biomarkers risk MACE, reporting total 7,588 patients. Regarding clinical data, 57.49% presented hypertension (15 out reported hypertensive patients), followed ischemic heart 33.56% (13 studies) diabetes 30.37% (17 studies). additional, among usual factors, 23.55% obesity (7 23.02% were active smokers (10 We recorded average cut-off value 7.728 for NLR (range 2.6973–15.2), 0.594 MLR 0.26–0.81), 215.07 PLR 177.51–266.9) MACE mortality. also area under curve (AUC) 0.783 NLR, 0.744 MLR, 0.713 PLR. Our findings suggest these exhibit prognostic outcomes, evaluating at admission could provide novel information stratifying groups improving management.

Language: Английский

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Endothelial Dysfunction with Aging: Does Sex Matter?

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12203 - 12203

Published: Nov. 13, 2024

Oxidative stress and inflammation accompany endothelial dysfunction that results from the excessive or uncontrolled production of reactive oxygen nitrogen species (RONS) in older adults. This study was designed to assess usefulness serum oxi-inflammatory component combinations vascular disease prediction prevention with regard sex. Women (n = 145) men 50) aged 72.2 ± 7.8 years participated this project. The females demonstrated elevated hydrogen peroxide (H2O2) nitric oxide (NO) responsible for intravascular low-density lipoprotein oxidation. NO generation enhanced women, but its bioavailability reduced, which expressed by a high 3-nitrotyrosine (3-NitroT) concentration. relation NO/3-NitroT (rs 0.811, p < 0.001) women −0.611, showed sex determines dysfunction. RONS simultaneously promoted regeneration, as ~1.5-fold increase circulating progenitor cells. Inflammation-specific variables, such neutrophil-to-lymphocyte ratio, systemic immune index, neutrophil-to-high-density (HDL) were reduced their diagnostic utility clinical prognosis dysfunction, especially C-reactive-protein-to-HDL ratio (AUC 0.980, specificity 94.7%, sensitivity 93.3%, OR 252, 95% CI 65–967, 0.001). is first have revealed sex-specific changes response, can generate risk cardiovascular events at an age.

Language: Английский

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Comparison of Clinical Features, Complete Blood Count Parameters, and Outcomes between Two Distinct Waves of COVID-19: A Monocentric Report from Italy

Healthcare, Journal Year: 2022, Volume and Issue: 10(12), P. 2427 - 2427

Published: Nov. 30, 2022

Since the beginning of SARS-CoV-2 pandemic, ability to predict trajectory disease has represented a major challenge for clinicians. There is recent evidence that complete blood cell count (CBC)-derived inflammation indexes have predictive value in COVID-19. We aimed describe any changes clinical features, CBC-derived ratios, and outcomes patients admitted our hospital across two temporally distinct waves. retrospectively assessed compared characteristics values hospitalized during second fourth waves COVID-19, explored outcome differences terms level respiratory support required transfer intensive care. observed fourth-wave were older, less male-predominant, carried more comorbidities second-wave but, nevertheless, experienced favorable outcomes. A strong internal correlation was documented both between with cases displaying lower admission neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), platelet-to-lymphocyte (PLR), systemic index (SII). No significant found lymphocyte-to-monocyte (LMR), response (SIRI), aggregate (AISI). adverse decreased from wave These data represent contribution existing knowledge on role as potential tool help clinicians quickly differentiate in-hospital at increased risk serious illness death.

Language: Английский

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Systemic inflammatory response index (SIRI) and Systemic immune-inflammation index (SII) to show Thrombus Localization in Patients with Acute Pulmonary Embolism

OSMANGAZİ JOURNAL OF MEDICINE, Journal Year: 2023, Volume and Issue: unknown

Published: July 21, 2023

Pulmonary embolism (PE) is a critical disease associated with mortality. Considerable markers related to this inflammation have been used catch thrombus localization. In study, we wanted examine the association between Systemic inflammatory response index (SIRI), immune-inflammation (SII) and localization in patients PE. Our study consisted of diagnosed PE January 2020- June 2022. Laboratory parameters PE, especially localization, location, SII, SIRI, were recorded compared One hundred patient who met inclusion criteria was incorporated our study. When grouped according main pulmonary vein 18%, lobar region 51%, distal 31% patients. addition, mean SIRI SII levels encountered be higher those both segmental branches. has 78% sensitivity, 72% specificity at optimum cut-off value; Level II, it detects involvement 66.7% sensitivity 79.3% specificity. high values can practical predicting proximal thrombus.

Language: Английский

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Inflammatory predictors (eosinophil, C-RP and IL-6) and effectiveness of oral Azvudine tablets treatment in COVID-19 hospitalized patients: A retrospective, self-controlled study

Heliyon, Journal Year: 2023, Volume and Issue: 9(11), P. e21941 - e21941

Published: Nov. 1, 2023

Although vaccinations and antiviral drugs are widely used in the clinical treatment worldwide, there is little investigation on outcomes effectiveness of oral Azvudine tablets (FNC) COVID-19 hospitalized patients. The previous data showed was closely related to reduced virus shedding time, but potential role inflammatory response scarce. Thus, this study investigate predictors patients.A total 600 out patients were retrospectively collected over a 2-month period, whom 60 infected SARS-CoV-2. 32 who received rest did not. Oral treatment: 5 mg/day for 7-14 days. We analyzed routine blood tests, coagulation test, NT-proBNP, Troponin (cTNl), Creatine kinase MB (CK-MB) after compared with that before treatment. Also, we CT chest length Stay treatment.We found number percentage eosinophil increased significantly, levels C-reactive protein (C-RP) IL-6 remarkably In results activated partial thromboplastin time (APTT) (mean ± SEM: 2.950 2.268s) fibrinogen 0.8910 0.5134g/L) downregulated slightly, while similar level D-Dimer 0.1660 0.3108 μg/mL) expression NT-proBNP 897.1 557.1pg/mL). Chest computed tomography (CT) scan reports also demonstrated improved lung symptoms Moreover, no difference average stay (the LOS days: 9.0) 9.0).Oral associated decreased function, which should be substantial benefits

Language: Английский

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Evaluation of malnutrition by objective nutritional indexes and predictors in hospitalized patients with COVID-19

Journal of Clinical Biochemistry and Nutrition, Journal Year: 2024, Volume and Issue: 75(2), P. 153 - 160

Published: Jan. 1, 2024

Nutritional information on hospitalized patients with COVID-19 is limited. We aimed to (1) investigate the prevalence of nutrition risk defined by Scored Risk Screening (NRS 2002) and malnutrition assessed prognostic nutritional index (PNI) controlling status score (CONUT), (2) observe intervention, (3) explore predictors critical condition mortality. was 53.00% 79.09% 88.79% among 464 based PNI CONUT, respectively. The area under receiver operating characteristic curve for hypersensitivity C-‍reactive protein (hs-CRP), platelet-to-lymphocyte ratio (PLR), PNI, neutrophil/lymphocyte (NLR), systemic immune-inflammation (SII), CONUT were 0.714, 0.677, 0.243, 0.778, 0.742, 0.743, respectively, in discerning patients. mortality-related hs-CRP, PLR, NLR, SII, 0.740, 0.647, 0.247, 0.814, 0.758, 0.767, results showed that NLR significantly correlated conditions. Our study revealed a high COVID-19. are independent conditions could assist clinicians cases.

Language: Английский

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The application of metagenomics, radiomics and machine learning for diagnosis of sepsis

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Sept. 20, 2024

Introduction Sepsis poses a serious threat to individual life and health. Early accessible diagnosis targeted treatment are crucial. This study aims explore the relationship between microbes, metabolic pathways, blood test indicators in sepsis patients develop machine learning model for clinical diagnosis. Methods Blood samples from were sequenced. α-diversity β-diversity analyses performed compare microbial diversity group normal group. Correlation analysis was conducted on indicators. In addition, developed based medical records radiomic features using algorithms. Results The results of showed that significantly higher than ( p &lt; 0.05). top 10 abundances groups Vitis vinifera, Mycobacterium canettii, Solanum pennellii, Ralstonia insidiosa, Ananas comosus, Moraxella osloensis, Escherichia coli, Staphylococcus hominis, Camelina sativa , Cutibacterium acnes . enriched pathways mainly included Protein families: genetic information processing, Translation, signaling cellular processes, Unclassified: processing. correlation revealed significant positive 0.05) IL-6 Membrane transport. Metabolism other amino acids with acnes, osloensis hominis comosus Poorly characterized metabolism. test-related negative microorganisms. Logistic regression (LR) used as optimal six models features. nomogram, calibration curves, AUC values demonstrated LR best prediction. Discussion provides insights into sepsis. shows potential aiding However, further research is needed validate improve model.

Language: Английский

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