Predictive Models of Patient Severity in Intensive Care Units Based on Serum Cytokine Profiles: Advancing Rapid Analysis

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4823 - 4823

Опубликована: Апрель 26, 2025

Predicting disease states and outcomes—and anticipating the need for specific procedures—enhances efficiency of patient management, particularly in dynamic heterogenous environments intensive care units (ICUs). This study aimed to develop robust predictive models using small sets blood analytes predict severity mortality ICUs, as fewer are advantageous future rapid analyses biosensors, enabling fast clinical decision-making. Given substantial impact inflammatory processes, this research examined serum profiles 25 cytokines, either association with or independent nine routine analyses. Serum samples from 24 male COVID-19 patients admitted an ICU were divided into three groups: Group A, including less severe patients, Groups B C, that needed invasive mechanical ventilation (IMV). Patients C died within seven days after current analysis. Naïve Bayes developed full dataset feature subsets selected through information gain algorithm univariate data Strong achieved IMV (AUC = 0.891) homogeneous 0.774) more heterogeneous 0.887) populations utilizing two features. Despite sample, these findings underscore potential effective prediction based on a limited number analytes.

Язык: Английский

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COVID-19 and Laboratory Markers from Romanian Patients—A Narrative Review

Life, Год журнала: 2023, Номер 13(9), С. 1837 - 1837

Опубликована: Авг. 30, 2023

COVID-19 has significantly impacted the whole world, and Romania was no exception. Biomarkers play a crucial role in understanding managing disease. However, research regarding laboratory analyses for patients with is fairly limited. For detection, PCR testing still considered golden standard, while antibodies are useful monitoring both their vaccination status. In our country, biomarkers such as CRP, LDH, transaminases, cardiac, iron markers have been used to assess status of even predict illness outcome. IL-6, FER, fibrinogen, creatinine, vitamin D levels associated increased severity, risk ICU admission, death. Cardiac D-dimers also good predictors, but seems more important complications. HDL cholesterol BUN were suggested potential biomarkers. Hematological issues SARS-CoV-2 infections include neutrophilia, lymphopenia ratio, PCT, which marker bacterial infections, better be co- or supra-infections. The current narrative review that focuses on results Romanian patients. goal this article provide an update other tests conducted inside borders identify gaps regard. Secondly, options further discussed encouraged.

Язык: Английский

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Long-COVID is Associated with Impaired Red Blood Cell Function

Hormone and Metabolic Research, Год журнала: 2023, Номер 56(04), С. 318 - 323

Опубликована: Окт. 27, 2023

Abstract COVID-19 disease, caused by the severe acute respiratory syndrome virus 2 (SARS-CoV-2), induces a broad spectrum of clinical symptoms ranging from asymptomatic cases to fatal outcomes. About 10–35% all patients, even those with mild symptoms, continue show i. e., fatigue, shortness breath, cough, and cognitive dysfunction, after initial recovery. Previously, we others identified red blood cell precursors as direct target SARS-CoV-2 suggested that dysregulation in hemoglobin- iron-metabolism contributing systemic course COVID-19. Here, put particular emphasis on differences parameters gas analysis hematological more than 20 healthy Long-COVID respectively. patients showed impaired oxygen binding hemoglobin concomitant increase carbon monoxide binding. Hand hand decreased plasma iron concentration transferrin saturation, mean corpuscular was elevated compared donors suggesting potential compensatory mechanism. Although pH within physiological range both groups, base excess- bicarbonate values were significantly lower patients. Furthermore, displayed reduced lymphocyte levels. The relevance these findings, e. g., cause chronic immunodeficiency, remains be investigated future studies. In conclusion, our data suggest erythrocyte functionality leading diminished supply. This turn could an explanation for CFS, dyspnea anemia. Further investigations are necessary identify underlying pathomechanisms.

Язык: Английский

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Hemoglobin and Its Relationship with Fatigue in Long-COVID Patients Three to Six Months after SARS-CoV-2 Infection

Biomedicines, Год журнала: 2024, Номер 12(6), С. 1234 - 1234

Опубликована: Июнь 1, 2024

Background: While some long-term effects of COVID-19 are respiratory in nature, a non-respiratory effect gaining attention has been decline hemoglobin, potentially mediated by inflammatory processes. In this study, we examined the correlations between hemoglobin levels and biomarkers evaluated association fatigue cohort Long-COVID patients. Methods: This prospective study Netherlands 95 (mostly hospitalized) patients, aged 40–65 years, 3–6 months post SARS-CoV-2 infection, examining their venous concentration, anemia (hemoglobin < 7.5 mmol/L women <8.5 men), blood biomarkers, average FSS (Fatigue Severity Score), demographics, clinical features. Follow-up was compared against during acute infection. Spearman correlation used for assessing relationship concentrations using logistic regression. Results: total, 11 (16.4%) participants were suffering from after The mean value increased 0.3 infection to phase (p-value = 0.003). Whilst regression showed that 1 greater increase is related decrease experiencing patients (adjusted OR 0.38 [95%CI 0.13–1.09]), observed no any examined. Conclusion: Our results indicate impairment might play role developing fatigue. Further investigation necessary identify precise mechanism causing alteration these

Язык: Английский

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Comparison of pathogenicity and host responses of emerging porcine reproductive and respiratory syndrome virus variants in piglets

Journal of Virology, Год журнала: 2024, Номер 98(11)

Опубликована: Окт. 24, 2024

ABSTRACT Porcine reproductive and respiratory syndrome virus (PRRSV) is a highly variable with genetic diversity. This study comparatively examines the pathogenicity immunological impact of two emergent PRRSV strains, SD53 HuN4, in piglets. Our results indicate that strain induces milder clinical syndromes less severe tissue damage than despite similar replication rates. Hematological tests showed perturbations peripheral blood cell profiles after infection, suggesting systemic impact. The neutrophil-to-lymphocyte ratio was notably lower SD53-infected piglets, intense inflammatory reaction. Moreover, infection led to levels pro-inflammatory cytokines, further supporting pronounced profile. Both strains induced production PRRSV-specific antibodies. However, transcriptomic analysis lung lymph node tissues from infected piglets disclosed more moderate up-regulation core genes, including ISGs , group. Further indicated primarily enhanced immune-related signaling, particularly T response modules, while HuN4 caused robust reaction dampening functionality. Flow cytometry analyses confirmed these findings, showing higher CD4/CD8 ratios increased CD4+ percentages implying response. Collectively, findings broaden our comprehension pathogenesis may inform development future therapeutic or prophylactic strategies for controlling infections effectively. IMPORTANCE high mutation rate porcine poses significant challenges its accurate diagnosis implementation effective control measures. research explores pathogenic emerging stains: NADC30-like HuN4. investigation reveals initiates distinct immunopathological responses vivo compared those provoked by By conducting transcriptome differential gene expression lungs nodes we unveil intricate molecular mechanisms underlying contrasting strains. comprehensive insights yielded this are instrumental advancing understanding dominant strain, which has become increasingly prevalent China’s swine industry.

Язык: Английский

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Association of clinical and imaging characteristics with pulmonary function testing in patients with Long-COVID

Heliyon, Год журнала: 2024, Номер 10(11), С. e31751 - e31751

Опубликована: Май 22, 2024

The purpose of this study is to identify clinical and imaging characteristics associated with post-COVID pulmonary function decline.

Язык: Английский

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Trends of Common Laboratory Biomarkers after SARS-CoV-2 Infection

Journal of Infection, Год журнала: 2024, Номер unknown, С. 106318 - 106318

Опубликована: Окт. 1, 2024

Язык: Английский

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Beyond the Acute Phase: Long-Term Impact of COVID-19 on Functional Capacity and Prothrombotic Risk—A Pilot Study

Medicina, Год журнала: 2023, Номер 60(1), С. 51 - 51

Опубликована: Дек. 27, 2023

Background and Objectives: Assessment of the prothrombotic, proinflammatory, functional status a cohort COVID-19 patients at least two years after acute infection to identify parameters with potential therapeutic prognostic value. Materials Methods: We conducted retrospective, descriptive study that included 117 consecutive admitted Iasi Pulmonary Rehabilitation Clinic for reassessment rehabilitation program infection. The was divided into groups based on presence (n = 49) or absence 68) pulmonary fibrosis, documented through high-resolution computer tomography. Results: comprises patients, 69.23% females, mean age 65.74 ± 10.19 abnormal body mass index (31.42 5.71 kg/m2). Patients fibrosis have significantly higher levels C-reactive protein (CRP) (p < 0.05), WBC (7.45 7.86/mm3 vs. 9.18 17.24/mm3, p 0.053), neutrophils (4.68 7.88/mm3 9.07 17.44/mm3, platelet volume (MPV) (7.22 0.93 10.25 0.86 fL, lactate dehydrogenase D-dimers but not ferritin 0.470), reflecting chronic proinflammatory prothrombotic status. Additionally, associated had heart rate 0.05) corrected QT interval 0.05). were strongly negatively correlated diffusion capacity hemoglobin (DLCO corr), ROC analysis showed persistence high values is predictor low DLCO (ROC analysis: area under curve 0.772, 0.001). results function tests (spirometry, plethysmography) 6-minute walk test demonstrated no significant difference between groups, without notable impairment within either group. Conclusions: COVID-19-related persistent long-term status, despite recovery. elevated D-dimer could emerge as predictive factor impaired DLCO.

Язык: Английский

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Assessing the impact of COVID-19 on acute leukemia patients: a comparative analysis of hematological and biochemical parameters

BMC Infectious Diseases, Год журнала: 2024, Номер 24(1)

Опубликована: Июнь 11, 2024

Abstract Background The impact of COVID-19 infection on the blood system remains to be investigated, especially with those encountering hematological malignancies. It was found that a high proportion cancer patients are at an elevated risk infection. Leukemic often suppressed and immunocompromised, which would pathology following Therefore, this research aims bring valuable insight into mechanism by influences biochemical parameters acute leukemia. Methods This retrospective investigation uses repeated measures examine changes in among leukemia before after major Saudi tertiary center. conducted Ministry National Guard-Health Affairs Riyadh, Arabia, 24 between April 2020 July 2023. clinical parameters, comorbidities, laboratory values evaluated using data obtained from electronic health records four designated time intervals. relative importance testing preferences, significant predictors survival ascertained. Results majority leukemic COVID-19-infected patients, primarily detected through PCR tests, were diagnosed lymphoblastic (70.8%). exhibited stability, except for brief increase ALT sustained rise AST. These not statistically significant, remained normal all points. Additionally, monocyte count shown point-3, as well platelet counts point 2. Conclusion While study did detect effects further is needed fully understand potential adverse reactions modifications

Язык: Английский

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A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data

Diagnostics, Год журнала: 2024, Номер 14(12), С. 1284 - 1284

Опубликована: Июнь 18, 2024

The premise for this study emanated from the need to understand SARS-CoV-2 infections at molecular level and develop predictive tools managing COVID-19 severity. With varied clinical outcomes observed among infected individuals, creating a reliable machine learning (ML) model predicting severity of became paramount. Despite availability large-scale genomic data, previous studies have not effectively utilized multi-modality data disease prediction using data-driven approaches. Our primary goal is predict machine-learning trained on combination patients’ gene expression, features, co-morbidity data. Employing various ML algorithms, including Logistic Regression (LR), XGBoost (XG), Naïve Bayes (NB), Support Vector Machine (SVM), alongside feature selection methods, we sought identify best-performing prediction. results highlighted XG as superior classifier, with 95% accuracy 0.99 AUC (Area Under Curve), distinguishing groups. Additionally, SHAP analysis revealed vital features contributing prediction, several genes such COX14, LAMB2, DOLK, SDCBP2, RHBDL1, IER3-AS1. Notably, two absolute neutrophil count Viremia Categories, emerged top contributors. Integrating multiple modalities has significantly improved compared any single modality. identified could serve biomarkers prognosis patient care, allowing clinicians optimize treatment strategies refine decision-making processes enhanced outcomes.

Язык: Английский

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