Thyroid-Stimulating Hormone Predicts Total Cholesterol and Low-Density Lipoprotein Cholesterol Reduction during the Acute Phase of COVID-19

Mannarino, Massimo Raffaele; Bianconi, Vanessa; Cosentini, Elena; Figorilli, Filippo; Colangelo, Cecilia; Giglioni, Francesco; Lombardini, Rita; Paltriccia, Rita; Pirro, Matteo

doi:10.3390/jcm11123347

Cited by 4 publications

(4 citation statements)

References 51 publications

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“…On the other hand, they stated that TSH level decreases in COVID-19. So, they concluded that LDL level decreases in COVID-19 [ 46 ]. Zhao et al found that LDL levels decreased in patients with COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2

Ghazizadeh,

Shakour,

Ghoflchi

et al. 2023

BMC Pulm Med

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Background and objective Corona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona virus spread in humans in December 2019 in Wuhan, China. The purpose of this study was to investigate the relationship between type 2 diabetes mellitus (T2DM), and their biochemical and hematological factors with the level of infection with COVID-19 to improve the treatment and management of the disease. Material and method This study was conducted on a population of 13,170 including 5780 subjects with SARS-COV-2 and 7390 subjects without SARS-COV-2, in the age range of 35–65 years. Also, the associations between biochemical factors, hematological factors, physical activity level (PAL), age, sex, and smoking status were investigated with the COVID-19 infection. Result Data mining techniques such as logistic regression (LR) and decision tree (DT) algorithms were used to analyze the data. The results using the LR model showed that in biochemical factors (Model I) creatine phosphokinase (CPK) (OR: 1.006 CI 95% (1.006,1.007)), blood urea nitrogen (BUN) (OR: 1.039 CI 95% (1.033, 1.047)) and in hematological factors (Model II) mean platelet volume (MVP) (OR: 1.546 CI 95% (1.470, 1.628)) were significant factors associated with COVID-19 infection. Using the DT model, CPK, BUN, and MPV were the most important variables. Also, after adjustment for confounding factors, subjects with T2DM had higher risk for COVID-19 infection. Conclusion There was a significant association between CPK, BUN, MPV and T2DM with COVID-19 infection and T2DM appears to be important in the development of COVID-19 infection.

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Section: Discussionmentioning

confidence: 99%

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2

Ghazizadeh,

Shakour,

Ghoflchi

et al. 2023

BMC Pulm Med

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“…[123][124][125] Another study has shown that older adults on statin therapy have a higher chance of developing asymptomatic COVID-19 as opposed to a symptomatic form of the disease. 126,127 Although extensive research pleads in favor of statin administration (in both pre-hospital and in-hospital settings) in COVID-19 patients, several uncharted findings are yet to be defined (a proven causal relationship between the use of statins and the beneficial effects, type of statins that provide better protection, role of drug interaction, impact of pre-existing comorbidities). 125,128 Many controversies surrounded the negative impact that ACE2 inhibitors or angiotensin receptor blockers (ARBs) might have on SARS-CoV-2 infections, primarily because these agents increase the expression of ACE2 receptors, promoting SARS-CoV-2 entry into the cell.…”

Section: Treatmentmentioning

confidence: 99%

Distinct Features of Vascular Diseases in COVID-19

Ceasovschih,

Sorodoc,

Shor

et al. 2023

JIR

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The Coronavirus Disease 2019 (COVID-19) pandemic was declared in early 2020 after several unexplained pneumonia cases were first reported in Wuhan, China, and subsequently in other parts of the world. Commonly, the disease comprises several clinical features, including high temperature, dry cough, shortness of breath, and hypoxia, associated with findings of interstitial pneumonia on chest X-ray and computer tomography. Nevertheless, severe forms of acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) are not limited to the respiratory tract but also may be extended to other systems, including the cardiovascular system. The bi-directional relationship between atherosclerosis and COVID-19 is accompanied by poor prognosis. The immune response hyperactivation due to SARS-CoV-2 infection causes an increased secretion of cytokines, endothelial dysfunction, and arterial stiffness, which promotes the development of atherosclerosis. Also, due to the COVID-19 pandemic, access to healthcare amenities was reduced, resulting in increased morbidity and mortality in patients at risk. Furthermore, as lockdown measures were largely adopted worldwide, the sedentary lifestyle and the increased consumption of processed nutrients or unhealthy food increased, and in the consequence, we might observe even 70% of overweight and obese population. Altogether, with the relatively low ratio of vaccinated people in many countries, and important health debt appeared, which is now and will be for next decade a large healthcare challenge. However, the experience gained in the COVID-19 pandemic and the new methods of patients’ approaching have helped the medical system to overcome this crisis and will hopefully help in the case of new possible epidemics.

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“…Lp(a) was measured via nephelometry through an apo(a) isoformdependent assay (BN-II-System, Siemens HD). The Friedewald formula was used to calculate low-density lipoprotein (LDL) cholesterol [32]. The following clinical parameters were recorded among those obtained during physical examination at hospital admission: body mass index (BMI), respiratory rate, oxygen saturation (SpO 2 ), fraction of inspired oxygen (FiO 2 ), Glasgow Coma Scale (GCS), systolic blood pressure (SBP), and diastolic blood pressure (DBP) [33,34].…”

Section: Baseline Data Collectionmentioning

confidence: 99%

Lipoprotein(a) Does Not Predict Thrombotic Events and In-Hospital Outcomes in Patients with COVID-19

Bianconi,

Mannarino,

Ramondino

et al. 2023

JCM

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The prothrombotic and proinflammatory properties of lipoprotein(a) (Lp(a)) have been hypothesized to play a role in the pathogenesis of severe COVID-19; however, the prognostic impact of Lp(a) on the clinical course of COVID-19 remains controversial. This study aimed to investigate whether Lp(a) may be associated with biomarkers of thrombo-inflammation and the occurrence of thrombotic events or adverse clinical outcomes in patients hospitalized for COVID-19. We consecutively enrolled a cohort of patients hospitalized for COVID-19 and collected blood samples for Lp(a) assessment at hospital admission. A prothrombotic state was evaluated through D-dimer levels, whereas a proinflammatory state was evaluated through C-reactive protein (CRP), procalcitonin, and white blood cell (WBC) levels. Thrombotic events were marked by the diagnosis of deep or superficial vein thrombosis (DVT or SVT), pulmonary embolism (PE), stroke, transient ischemic attack (TIA), acute coronary syndrome (ACS), and critical limb ischemia (CLI). The composite clinical end point of intensive care unit (ICU) admission/in-hospital death was used to evaluate adverse clinical outcomes. Among 564 patients (290 (51%) men, mean age of 74 ± 17 years) the median Lp(a) value at hospital admission was 13 (10–27) mg/dL. During hospitalization, 64 (11%) patients were diagnosed with at least one thrombotic event and 83 (15%) patients met the composite clinical end point. Lp(a), as either a continuous or categorical variable, was not associated with D-dimer, CRP, procalcitonin, and WBC levels (p > 0.05 for all correlation analyses). In addition, Lp(a) was not associated with a risk of thrombotic events (p > 0.05 for multi-adjusted odds ratios) nor with a risk of adverse clinical outcomes (p > 0.05 for multi-adjusted hazard ratios). In conclusion, Lp(a) does not influence biomarkers of plasma thrombotic activity and systemic inflammation nor has any impact on thrombotic events and adverse clinical outcomes in patients hospitalized for COVID-19.

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Thyroid-Stimulating Hormone Predicts Total Cholesterol and Low-Density Lipoprotein Cholesterol Reduction during the Acute Phase of COVID-19

Cited by 4 publications

References 51 publications

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2

Distinct Features of Vascular Diseases in COVID-19

Lipoprotein(a) Does Not Predict Thrombotic Events and In-Hospital Outcomes in Patients with COVID-19

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