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19 pages, 3154 KiB  
Article
The Relationship Between Kidney Biomarkers, Inflammation, Severity, and Mortality Due to COVID-19—A Two-Timepoint Study
by Sara Soares Tozoni, Ana Carolina Gadotti, Erika Sousa Dias, Julia Bacarin Monte Alegre, Beatriz Akemi Von Spitzenbergen, Marina de Castro Deus, Thyago Proença de Moraes and Andrea Novais Moreno-Amaral
Int. J. Mol. Sci. 2025, 26(13), 6086; https://doi.org/10.3390/ijms26136086 - 25 Jun 2025
Viewed by 347
Abstract
About a quarter of COVID-19 patients develop acute kidney injury (AKI), worsening prognosis and increasing mortality. Severe COVID-19 often triggers a hyperactive immune response, influencing disease outcomes. This study examined the correlation between kidney injury biomarkers, inflammatory mediators, and mortality in COVID-19 patients. [...] Read more.
About a quarter of COVID-19 patients develop acute kidney injury (AKI), worsening prognosis and increasing mortality. Severe COVID-19 often triggers a hyperactive immune response, influencing disease outcomes. This study examined the correlation between kidney injury biomarkers, inflammatory mediators, and mortality in COVID-19 patients. Blood samples from 390 COVID-19 patients were collected at admission and before the outcome. Serum Cystatin C (CysC), albumin, and plasma NGAL were measured via nephelometry, while inflammatory mediators (IL-4, IL-6, IL-10, IL-15, IFN-γ, TNF-α, and IL-1β) were assessed by ELISA. Most patients were male, with hypertension and diabetes as common comorbidities, and a high ICU admission rate. Lower albumin and elevated CysC and NGAL were linked to mortality. Increased inflammatory mediators correlated with lower albumin and higher CysC and NGAL, reinforcing the connection between systemic inflammation and kidney dysfunction. Elevated cytokines and kidney injury biomarkers, including NGAL, CysC, and low albumin, are strongly associated with higher mortality in COVID-19 patients. These findings highlight the role of inflammation and kidney function markers in identifying high-risk individuals, improving patient management, and mitigating complications. Monitoring these biomarkers remains crucial for managing long-term health impacts and future outbreaks Full article
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12 pages, 247 KiB  
Article
High-Flow Nasal Cannula Application After Extubation in Acute Respiratory Failure Patients
by Wen-Chi Chao, Shen-Yung Wang, Chang-Yi Lin, Hou-Tai Chang, Wen-Lin Su, Chien-Hua Tseng, Kuang-Yao Yang, Shih-Chi Ku, Kuo-Chin Kao and Chieh-Jen Wang
J. Clin. Med. 2025, 14(9), 3087; https://doi.org/10.3390/jcm14093087 - 29 Apr 2025
Viewed by 1074
Abstract
Background: The optimal timing of high-flow nasal cannula (HFNC) application in acute respiratory failure patients remains uncertain. This study aimed to investigate the impact of HFNC on the outcomes of patients with acute respiratory failure, focusing on its use after extubation. Methods: This [...] Read more.
Background: The optimal timing of high-flow nasal cannula (HFNC) application in acute respiratory failure patients remains uncertain. This study aimed to investigate the impact of HFNC on the outcomes of patients with acute respiratory failure, focusing on its use after extubation. Methods: This multicenter retrospective study enrolled adult acute respiratory failure patients requiring invasive mechanical ventilation during the first major outbreak of the COVID-19 pandemic in Taiwan from April to July 2021. Endpoints included prognosis after extubation as 28-day post-extubation mortality. Results: Among the patients, 107 received HFNC before intubation and 461 received conventional oxygen therapy (COT). Pre-intubation HFNC failure did not significantly affect hospital mortality but was associated with prolonged durations of mechanical ventilation and intensive care unit stay. Among 375 patients who underwent planned extubation, 158 received post-extubation HFNC and 217 received COT. HFNC application after extubation was associated with significantly reduced post-extubation 28-day mortality compared with COT. Conclusions: HFNC application after extubation is associated with reduced post-extubation 28-day mortality risks in acute respiratory failure patients who received planned extubation. Full article
(This article belongs to the Special Issue Clinical Advances in Critical Care Medicine)
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10 pages, 281 KiB  
Article
Interaction Effects Between COVID-19 Outbreak and Fever on Mortality Among OHCA Patients Visiting Emergency Departments
by Dahae Lee, Jung Ho Lee, Eujene Jung, Yong Soo Cho and Hyun Ho Ryu
Medicina 2024, 60(12), 2095; https://doi.org/10.3390/medicina60122095 - 21 Dec 2024
Viewed by 871
Abstract
Background and Objectives: Fever in patients who have suffered an out-of-hospital cardiac arrest (OHCA) has been linked to poor clinical outcomes, as a fever can exacerbate neurological damage, increase metabolic demands, and trigger inflammatory responses. This study evaluates the impact of the [...] Read more.
Background and Objectives: Fever in patients who have suffered an out-of-hospital cardiac arrest (OHCA) has been linked to poor clinical outcomes, as a fever can exacerbate neurological damage, increase metabolic demands, and trigger inflammatory responses. This study evaluates the impact of the COVID-19 outbreak and associated fevers on OHCA outcomes and examines how they can worsen patient prognosis. Materials and Methods: Our retrospective observational analysis used data from the National Emergency Department Information System (NEDIS), comprising adult OHCA patients at 402 EDs in Korea between 27 January and 31 December 2020 (COVID-19 pandemic period) and the corresponding period in 2019 (pre-COVID-19). The primary outcome was in-hospital mortality, with the COVID-19 outbreak as the main exposure variable and fever as an important interaction variable. We employed multilevel multivariate logistic regression with an interaction term (year of visit × fever) to examine the effects of COVID-19 and fever on mortality. Risk-adjusted mortality rates were calculated, and a difference-in-difference analysis evaluated the impact of COVID-19 on excess mortality by fever status. Results: During COVID-19, in-hospital mortality was higher among OHCA patients compared to the pre-pandemic period (adjusted OR 1.22, 95% CI 1.11–1.34), particularly among febrile patients (adjusted OR 1.40, 95% CI 1.24–1.59). Interaction analysis revealed that COVID-19 disproportionately increased mortality in febrile OHCA patients compared with non-febrile patients (difference-in-difference: 0.8%, 95% CI 0.2–1.5). Conclusions: Our study found that the COVID-19 pandemic significantly increased mortality among OHCA patients, with febrile patients experiencing disproportionately worse outcomes due to systemic delays and pandemic-related disruptions. Full article
(This article belongs to the Section Epidemiology & Public Health)
9 pages, 490 KiB  
Communication
Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID
by Maryne Lepoittevin, Quentin Blancart Remaury, Nicolas Lévêque, Arnaud W. Thille, Thomas Brunet, Karine Salaun, Mélanie Catroux, Luc Pellerin, Thierry Hauet and Raphael Thuillier
Int. J. Mol. Sci. 2024, 25(22), 12199; https://doi.org/10.3390/ijms252212199 - 13 Nov 2024
Cited by 1 | Viewed by 1154
Abstract
The COVID-19 outbreak caused saturations of hospitals, highlighting the importance of early patient triage to optimize resource prioritization. Herein, our objective was to test if high definition metabolomics, combined with ML, can improve prognostication and triage performance over standard clinical parameters using COVID [...] Read more.
The COVID-19 outbreak caused saturations of hospitals, highlighting the importance of early patient triage to optimize resource prioritization. Herein, our objective was to test if high definition metabolomics, combined with ML, can improve prognostication and triage performance over standard clinical parameters using COVID infection as an example. Using high resolution mass spectrometry, we obtained metabolomics profiles of patients and combined them with clinical parameters to design machine learning (ML) algorithms predicting severity (herein determined as the need for mechanical ventilation during patient care). A total of 64 PCR-positive COVID patients at the Poitiers CHU were recruited. Clinical and metabolomics investigations were conducted 8 days after the onset of symptoms. We show that standard clinical parameters could predict severity with good performance (AUC of the ROC curve: 0.85), using SpO2, first respiratory rate, Horowitz quotient and age as the most important variables. However, the performance of the prediction was substantially improved by the use of metabolomics (AUC = 0.92). Our small-scale study demonstrates that metabolomics can improve the performance of diagnosis and prognosis algorithms, and thus be a key player in the future discovery of new biological signals. This technique is easily deployable in the clinic, and combined with machine learning, it can help design the mathematical models needed to advance towards personalized medicine. Full article
(This article belongs to the Special Issue Machine Learning in Disease Diagnosis and Treatment)
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13 pages, 1285 KiB  
Article
Age Differences and Prevalence of Comorbidities for Death and Survival in Patients with COVID-19: A Single-Center Observational Study in a Region of Southern Italy
by Biagio Santella, Silvana Mirella Aliberti, Luigi Fortino, Antonio Donato, Vincenzo Andretta, Emanuela Santoro, Gianluigi Franci, Mario Capunzo and Giovanni Boccia
Life 2024, 14(11), 1376; https://doi.org/10.3390/life14111376 - 25 Oct 2024
Viewed by 1976
Abstract
The SARS-CoV-2 outbreak has resulted in a considerable number of deaths worldwide. The virus damages the pulmonary artery endothelium, leading to a condition known as microvascular pulmonary inflammatory thrombotic syndrome (MPITS), which can be fatal and cause multiple organ failure. The presence of [...] Read more.
The SARS-CoV-2 outbreak has resulted in a considerable number of deaths worldwide. The virus damages the pulmonary artery endothelium, leading to a condition known as microvascular pulmonary inflammatory thrombotic syndrome (MPITS), which can be fatal and cause multiple organ failure. The presence of preexisting comorbidities has been shown to significantly impact the severity and prognosis of patients with SARS-CoV-2 infection. The objective of this study was to compare the age groups of patients with coronavirus disease 2019 (COVID-19) and to identify the prevalence of comorbidities associated with death and survival in an area of southern Italy. The data set consisted of 1985 patients with confirmed cases of SARS-CoV-2 infection who were admitted to the A.O.U. San Giovanni di Dio e Ruggi d’Aragona Hospital in Salerno between January 2021 and December 2022. The results were presented for the overall population and stratified by outcome and age group. All analyses were performed using the XLSTAT (Lumivero, 2024, Paris, France) and STATA software (release 16.1, StataCorp LLG, College Station, TX, USA, 2019) packages. In the study, population, 636 cases (32%) resulted in death, with a higher prevalence in the 60–79 age group, followed by the ≥80 and 30–59 age groups. The most prevalent diseases among deceased and surviving patients with confirmed cases of SARS-CoV-2 infection were those affecting the circulatory system (61.5% vs. 55.5%), the respiratory system (55.8% vs. 26.2%), and the metabolic system (25.9% vs. 25.4%). In patients aged 30–79, respiratory diseases were the primary cause of mortality, whereas in those aged ≥80, circulatory system diseases were more prevalent. Among survivors, cardiovascular diseases were the most common comorbidities across all age groups, followed by respiratory diseases and endocrine, metabolic, and immune disorders. Moreover, these comorbidities were associated with an elevated risk of mortality. The study emphasizes the substantial influence of age and comorbidities on the mortality associated with SARS-CoV-2 infection. These findings highlight the necessity for targeted interventions to manage comorbid conditions in patients with SARS-CoV-2 infection, particularly in older adults. Full article
(This article belongs to the Special Issue Human Health Before, During, and After COVID-19)
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13 pages, 902 KiB  
Article
Calcifediol or Corticosteroids in the Treatment of COVID-19: An Observational Study
by Marta Entrenas-Castillo, Luis Manuel Entrenas-Costa, María P. Pata, Bernabe Jurado-Gamez, Cristina Muñoz-Corroto, Cristina Gomez-Rebollo, Estefania Mira-Padilla, Roger Bouillon and Jose Manuel Quesada-Gómez
Nutrients 2024, 16(12), 1910; https://doi.org/10.3390/nu16121910 - 17 Jun 2024
Cited by 3 | Viewed by 1598
Abstract
Medical treatment of coronavirus 19 disease (COVID-19) is a therapeutic challenge. The available data strongly suggest that calcifediol treatment may reduce the severity of COVID-19, and corticosteroids are the treatment of choice worldwide for severe COVID-19. Both have a very similar action profile, [...] Read more.
Medical treatment of coronavirus 19 disease (COVID-19) is a therapeutic challenge. The available data strongly suggest that calcifediol treatment may reduce the severity of COVID-19, and corticosteroids are the treatment of choice worldwide for severe COVID-19. Both have a very similar action profile, and their combined use in patients may modify the contribution of each administered compound. Objective: To evaluate how treatment with calcifediol and/or corticosteroids in medical practice modified the need for ICU admission, death, or poor prognosis of patients hospitalized with COVID-19 during the first outbreaks. Design, patients and setting: A retrospective observational cohort study of patients admitted for COVID-19 to the Pneumology Unit of the Hospital Universitario Reina Sofía (Córdoba, Spain). Interventions: Patients were treated with calcifediol or/and corticosteroids with the best available therapy and standard care, according to clinical practice guidelines. Measurements: Admission to the intensive care unit (ICU) or death during hospitalization and poor prognosis. Results: Seven hundred and twenty-eight patients were included. According to the treatment received, they were included in four groups: calcifediol (n = 68), glucocorticoids (n = 112), both (n = 510), or neither (n = 38). Of the 578 patients treated with calcifediol, 88 were admitted to the ICU (15%), while of the 150 not treated with calcifediol, 39 required ICU admission (26%) (p < 0.01). Among the patients taking calcifediol without glucocorticoids, only 4 of 68 (5.8%) required ICU admission, compared to 84 of 510 (16.5%) treated with both (p = 0.022). Of the 595 patients who had a good prognosis, 568 (82.01%) had received treatment with calcifediol versus the 133 patients with a poor prognosis, of whom 90 (67.66%) had received calcifediol (p < 0.001). This difference was not found for corticosteroids. Interpretation: The treatment of choice for hospitalized patients with moderate or mild COVID-19 could be calcifediol, not administering corticosteroids, until the natural history of the disease reaches a stage of hyperinflammation. Full article
(This article belongs to the Section Clinical Nutrition)
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12 pages, 1040 KiB  
Article
Clinical Outcome and Prognosis of a Nosocomial Outbreak of COVID-19
by Sang Hyuk Kim, Taehee Kim, Hayoung Choi, Tae Rim Shin and Yun Su Sim
J. Clin. Med. 2023, 12(6), 2279; https://doi.org/10.3390/jcm12062279 - 15 Mar 2023
Cited by 2 | Viewed by 6401
Abstract
Nosocomial coronavirus disease 2019 (COVID-19) outbreaks have been reported despite widespread quarantine methods to prevent COVID-19 in society and hospitals. Our study was performed to investigate the clinical outcome and prognosis of a nosocomial outbreak of COVID-19. We retrospectively analyzed the medical records [...] Read more.
Nosocomial coronavirus disease 2019 (COVID-19) outbreaks have been reported despite widespread quarantine methods to prevent COVID-19 in society and hospitals. Our study was performed to investigate the clinical outcome and prognosis of a nosocomial outbreak of COVID-19. We retrospectively analyzed the medical records of patients diagnosed with nosocomial COVID-19 of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) at a university teaching hospital between 1 November 2021 and 31 April 2022. Nosocomial COVID-19 was defined as a positive SARS-CoV-2 polymerase chain reaction (PCR) test result 4 or more days after admission in asymptomatic patients who had a negative SARS-CoV-2 PCR test on admission. In this study, 167 patients were diagnosed with nosocomial COVID-19 (1.14%) among a total of 14,667 patients admitted to hospital during the study period. A total of 153 patients (91.6%) survived, but 14 patients (8.4%) died. The median time between admission and COVID-19 diagnosis was 11 days, and the median duration of hospital stay was 24 days. After adjusting for other factors, no vaccination (adjusted HR = 5.944, 95% CI = 1.626–21.733, p = 0.007) and chronic kidney disease (adjusted HR = 6.963, 95% CI = 1.182–41.014, p = 0.032) were found to increase mortality risk. Despite strict quarantine, a significant number of nosocomial COVID-19 cases with a relatively high mortality rate were reported. As unvaccinated status or chronic kidney disease were associated with poor outcomes of nosocomial COVID-19, more active preventive strategies and treatments for patients with these risk factors are needed. Full article
(This article belongs to the Section Respiratory Medicine)
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11 pages, 867 KiB  
Article
Impact of the COVID-19 Pandemic on the Usage of Blood for Transfusions: A 2-Year Experience from a Tertiary Center in Korea
by Juhye Roh, Jangwook Lee, Jinyoung Park, Hee Jung Kang, Young Kyung Lee, Han-Sung Kim and Yonggeun Cho
Vaccines 2023, 11(3), 585; https://doi.org/10.3390/vaccines11030585 - 3 Mar 2023
Cited by 3 | Viewed by 2227
Abstract
The coronavirus disease (COVID-19) outbreak affected the utilization and management of blood products in hospitals. Blood shortages occurred owing to social distancing policies and reduction in blood donors. However, only a few studies examined whether these changes affected blood usage and transfusion patterns. [...] Read more.
The coronavirus disease (COVID-19) outbreak affected the utilization and management of blood products in hospitals. Blood shortages occurred owing to social distancing policies and reduction in blood donors. However, only a few studies examined whether these changes affected blood usage and transfusion patterns. We retrospectively reviewed blood component usage according to hospital departments and phases of surgery in transfused patients admitted between 1 March 2019 and 28 February 2021, in a single center in Anyang, Korea. We also analyzed the length of hospital stay and mortality to determine prognosis. In 2020, 32,050 blood components were transfused to 2877 patients, corresponding to 15.8% and 11.8% less than the rates in 2019, respectively. Postoperative usage of blood products significantly decreased in 2020 (3.87 ± 6.50) compared to 2019 (7.12 ± 21.71) (p = 0.047). The length of hospital stay of the patients who underwent postoperative transfusion in 2019 (n = 197) was 13.97 ± 11.95 days, which was not significantly different from that in 2020 (n = 167), i.e., 16.44 ± 17.90 days (p = 0.118). Further, 9 of 197 postoperative transfusion patients died in 2019, while 8 of 167 patients died in 2020 (p = 0.920). The COVID-19 pandemic resulted in limited blood supply and reduced postoperative transfusions; however, patient prognosis was not affected. Full article
(This article belongs to the Section Epidemiology and Vaccination)
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26 pages, 2852 KiB  
Review
Post-COVID-19 Syndrome Comprehensive Assessment: From Clinical Diagnosis to Imaging and Biochemical-Guided Diagnosis and Management
by Michael Zhipeng Yan, Ming Yang and Ching-Lung Lai
Viruses 2023, 15(2), 533; https://doi.org/10.3390/v15020533 - 14 Feb 2023
Cited by 15 | Viewed by 5616
Abstract
The COVID-19 outbreak was first reported in 2019, causing massive morbidity and mortality. The majority of the COVID-19 patients survived and developed Post-COVID-19 Syndrome (PC19S) of varying severity. Currently, the diagnosis of PC19S is achieved through history and symptomatology that cannot be explained [...] Read more.
The COVID-19 outbreak was first reported in 2019, causing massive morbidity and mortality. The majority of the COVID-19 patients survived and developed Post-COVID-19 Syndrome (PC19S) of varying severity. Currently, the diagnosis of PC19S is achieved through history and symptomatology that cannot be explained by an alternative diagnosis. However, the heavy reliance on subjective reporting is prone to reporting errors. Besides, there is no unified diagnostic assessment tool to classify the clinical severity of patients. This leads to significant difficulties when managing patients in terms of public resource utilization, clinical progression monitorization and rehabilitation plan formulation. This narrative review aims to review current evidence of diagnosis based on triple assessment: clinical symptomatology, biochemical analysis and imaging evidence. Further assessment tools can be developed based on triple assessment to monitor patient’s clinical progression, prognosis and intervals of monitoring. It also highlights the high-risk features of patients for closer and earlier monitoring. Rehabilitation programs and related clinical trials are evaluated; however, most of them focus on cardiorespiratory fitness and psychiatric presentations such as anxiety and depression. Further research is required to establish an objective and comprehensive assessment tool to facilitate clinical management and rehabilitation plans. Full article
(This article belongs to the Special Issue Post-COVID Syndrome)
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18 pages, 1768 KiB  
Review
COVID-19 and Thymoquinone: Clinical Benefits, Cure, and Challenges
by Shimaa Abd El-Salam El-Sayed and Mohamed Abdo Rizk
BioMed 2023, 3(1), 59-76; https://doi.org/10.3390/biomed3010005 - 10 Jan 2023
Cited by 2 | Viewed by 4695
Abstract
In today’s world, the outbreak of the coronavirus disease 2019 (COVID-19) has spread throughout the world, causing severe acute respiratory syndrome (SARS) and several associated complications in various organs (heart, liver, kidney, and gastrointestinal tract), as well as significant multiple organ dysfunction, shock, [...] Read more.
In today’s world, the outbreak of the coronavirus disease 2019 (COVID-19) has spread throughout the world, causing severe acute respiratory syndrome (SARS) and several associated complications in various organs (heart, liver, kidney, and gastrointestinal tract), as well as significant multiple organ dysfunction, shock, and even death. In order to overcome the serious complications associated with this pandemic virus and to prevent SARS-CoV-2 entry into the host cell, it is necessary to repurpose currently available drugs with a broad medicinal application as soon as they become available. There are several therapeutics under investigation for improving the overall prognosis of COVID-19 patients, but none of them has demonstrated clinical efficacy to date, which is disappointing. It is in this pattern that Nigella sativa seeds manifest their extensive therapeutic effects, which have been reported to be particularly effective in the treatment of skin diseases, jaundice, and gastrointestinal problems. One important component of these seeds is thymoquinone (TQ), which has a wide range of beneficial properties, including antioxidant and anti-inflammatory properties, as well as antibacterial and parasitic properties, in addition to anticarcinogenic, antiallergic, and antiviral properties. This comprehensive review discussed the possibility of an emerging natural drug with a wide range of medical applications; the use of TQ to overcome the complications of COVID-19 infection; and the challenges that are impeding the commercialization of this promising phytochemical compound. TQ is recommended as a highly effective weapon in the fight against the novel coronavirus because of its dual antiviral action, in addition to its capacity to lessen the possibility of SARS-CoV-2 penetration into cells. However, future clinical trials are required to confirm the role of TQ in overcoming the complications of COVID-19 infection. Full article
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11 pages, 2192 KiB  
Article
Upregulation of miRNA-200c during Disease Progression in COVID-19 Patients
by Lukas van de Sand, Peer Braß, Jonas Gregorius, Kevin Pattberg, Andrea Engler, Ulf Dittmer, Christian Taube, Stephan Brock, Marc Moritz Berger, Thorsten Brenner, Oliver Witzke and Adalbert Krawczyk
J. Clin. Med. 2023, 12(1), 283; https://doi.org/10.3390/jcm12010283 - 29 Dec 2022
Cited by 7 | Viewed by 2129
Abstract
The COVID-19 pandemic has caused more than 6 million deaths worldwide since its first outbreak in December 2019 and continues to be a major health problem. Several studies have established that the infection by SARS-CoV-2 can be categorized in a viremic, acute and [...] Read more.
The COVID-19 pandemic has caused more than 6 million deaths worldwide since its first outbreak in December 2019 and continues to be a major health problem. Several studies have established that the infection by SARS-CoV-2 can be categorized in a viremic, acute and recovery or severe phase. Hyperinflammation during the acute pneumonia phase is a major cause of severe disease progression and death. Treatment of COVID-19 with directly acting antivirals is limited within a narrow window of time between first clinical symptoms and the hyperinflammatory response. Therefore, early initiation of treatment is crucial to assure optimal health care for patients. Molecular diagnostic biomarkers represent a potent tool to predict the course of disease and thus to assess the optimal treatment regimen and time point. Here, we investigated miRNA-200c as a potential marker for the prediction of the severity of COVID-19 to preventively initiate and personalize therapeutic interventions in the future. We found that miRNA-200c correlates with the severity of disease. With retrospective analysis, however, there is no correlation with prognosis at the time of hospitalization. Our study provides the basis for further evaluation of miRNA-200c as a predictive biomarker for the progress of COVID-19. Full article
(This article belongs to the Special Issue Predictive Diagnostics and Personalized Treatment)
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14 pages, 1941 KiB  
Review
Comparison of the PF07598-Encoded Virulence-Modifying Proteins of L. interrogans and L. borgpetersenii
by Dielson S. Vieira, Reetika Chaurasia and Joseph M. Vinetz
Trop. Med. Infect. Dis. 2023, 8(1), 14; https://doi.org/10.3390/tropicalmed8010014 - 26 Dec 2022
Cited by 4 | Viewed by 4081
Abstract
Leptospirosis is an emerging infectious disease, with increasing frequency and severity of outbreaks, a changing epidemiology of populations at risk, and the emergence of new strains, serovars, serogroups, and species. Virulence-modifying (VM) proteins encoded by the PF07598 gene family are hypothesized to be [...] Read more.
Leptospirosis is an emerging infectious disease, with increasing frequency and severity of outbreaks, a changing epidemiology of populations at risk, and the emergence of new strains, serovars, serogroups, and species. Virulence-modifying (VM) proteins encoded by the PF07598 gene family are hypothesized to be Leptospira-secreted exotoxins that mediate the molecular and cellular pathogenesis of severe and fatal leptospirosis. If confirmed experimentally, this concept could revolutionize the treatment, diagnosis, prognosis, and vaccine-mediated prevention of leptospirosis by enabling a novel array of targeted interventions. VM proteins, as with other bacterial-secreted protein exotoxins, mediate their virulence effects by attaching to eukaryotic cells, competing with other microorganisms for limited resources in environmental niches, directly intoxicating target cells, and disrupting their function in the mammalian host. In contrast with the most pathogenic group of Lept ospira, particularly L. interrogans, whose genomes contain 12–15 PF07598 paralogs, strains of the livestock and human pathogen L. borgpetersenii have two PF07598 paralogs. Given the possible non-environmentally mediated transmission of some L. borgpetersenii strains and the much smaller number of VM proteins in this species, their role in infection and disease may well differ from other leptospiral species. Comparison of VM proteins from different clades of pathogenic Leptospira may deepen our understanding of leptospirosis’s pathogenesis, leading to novel approaches to ameliorating Leptospira infection in humans and animals. Full article
(This article belongs to the Special Issue New Insights in Leptospirosis)
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11 pages, 1304 KiB  
Systematic Review
COVID-19 and Lung Cancer Survival: An Updated Systematic Review and Meta-Analysis
by Simone Oldani, Fausto Petrelli, Giuseppina Dognini, Karen Borgonovo, Maria Chiara Parati, Mara Ghilardi, Lorenzo Dottorini, Mary Cabiddu and Andrea Luciani
Cancers 2022, 14(22), 5706; https://doi.org/10.3390/cancers14225706 - 21 Nov 2022
Cited by 19 | Viewed by 3098
Abstract
Introduction: The outbreak of COVID-19 poses an unprecedented challenge to global public health. Patients with cancer are at a higher risk during the SARS-CoV-2 pandemic. Patients with lung cancer and COVID-19 were compared to those without cancer and those with other malignancies for [...] Read more.
Introduction: The outbreak of COVID-19 poses an unprecedented challenge to global public health. Patients with cancer are at a higher risk during the SARS-CoV-2 pandemic. Patients with lung cancer and COVID-19 were compared to those without cancer and those with other malignancies for the main outcome of this study. The aim of this study was to evaluate the differences in susceptibility, disease severity, and mortality between lung cancer patients and the general population. Methods: Using PRISMA reporting guidelines, we conducted a systematic review and meta-analysis of the published literature. The Cochrane Library database, PubMed, EMBASE, and PubMed Central were comprehensively searched for published papers until 31 May 2022. A pooled risk ratio (OR) with 95% CI was presented as the result of this meta-analysis. Results: We included 29 studies involved 21,257 patients with lung cancer and SARS-CoV-2 infection. Analysis data showed that mortality in patients with lung cancer was significantly higher than that in patients without cancer (HR = 2.00 [95%CI 1.52, 2.63], p < 0.01) or with other malignancies (HR = 1.91 [95%CI 1.53, 2.39], p < 0.01). In addition, we also observed a higher risk of severe infection in terms of life-threatening or required ICU admission/mechanical ventilation for lung cancer patients (HR = 1.47 [95%CI 1.06, 2.03], p = 0.02) than for patients with no cancer or other malignancies. Regarding lung cancer as a risk factor for acquiring SARS-CoV-2 infection, we could not reach statistical significance (hazard ratio [HR] =2.73 [95%CI 0.84, 8.94], p = 0.1). Conclusion: Lung cancer represents an important comorbidity and modifies COVID-19 prognosis in terms of disease severity and mortality. More patients experience severe or even fatal events. Considering their inherent fragility, patients with lung cancer, and generally all oncological populations, should be treated more carefully during the COVID-19 pandemic. Full article
(This article belongs to the Section Infectious Agents and Cancer)
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26 pages, 8902 KiB  
Article
A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis
by Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, Si Thu Aung, Asif Karim and Sami Azam
Computation 2022, 10(10), 177; https://doi.org/10.3390/computation10100177 - 9 Oct 2022
Cited by 19 | Viewed by 3684
Abstract
The uncommon illness known as monkeypox is brought on by the monkeypox virus. The Orthopoxvirus genus belongs to the family Poxviridae, which also contains the monkeypox virus. The variola virus, which causes smallpox; the vaccinia virus, which is used in the smallpox vaccine; [...] Read more.
The uncommon illness known as monkeypox is brought on by the monkeypox virus. The Orthopoxvirus genus belongs to the family Poxviridae, which also contains the monkeypox virus. The variola virus, which causes smallpox; the vaccinia virus, which is used in the smallpox vaccine; and the cowpox virus are all members of the Orthopoxvirus genus. There is no relationship between chickenpox and monkeypox. After two outbreaks of a disorder resembling pox, monkeypox was first discovered in colonies of monkeys kept for research in 1958. The illness, also known as “monkeypox”, still has no known cause. However, non-human primates and African rodents can spread the disease to humans (such as monkeys). In 1970, a human was exposed to monkeypox for the first time. Several additional nations in central and western Africa currently have documented cases of monkeypox. Before the 2022 outbreak, almost all instances of monkeypox in people outside of Africa were connected to either imported animals or foreign travel to nations where the illness frequently occurs. In this work, the most recent monkeypox dataset was evaluated and the significant instances were visualized. Additionally, nine different forecasting models were also used, and the prophet model emerged as the most reliable one when compared with all nine models with an MSE value of 41,922.55, an R2 score of 0.49, a MAPE value of 16.82, an MAE value of 146.29, and an RMSE value of 204.75, which could be considerable assistance to clinicians treating monkeypox patients and government agencies monitoring the origination and current state of the disease. Full article
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17 pages, 1161 KiB  
Review
New-Onset and Relapsed Membranous Nephropathy post SARS-CoV-2 and COVID-19 Vaccination
by Qiqi Ma, Xiang Li and Gaosi Xu
Viruses 2022, 14(10), 2143; https://doi.org/10.3390/v14102143 - 28 Sep 2022
Cited by 14 | Viewed by 3542
Abstract
Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak and COVID-19 vaccination, new-onset and relapsed clinical cases of membranous nephropathy (MN) have been reported. However, their clinical characteristics and pathogenesis remained unclear. In this article, we collected five cases of MN associated [...] Read more.
Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak and COVID-19 vaccination, new-onset and relapsed clinical cases of membranous nephropathy (MN) have been reported. However, their clinical characteristics and pathogenesis remained unclear. In this article, we collected five cases of MN associated with SARS-CoV-2 infection and 37 related to COVID-19 vaccination. Of these five cases, four (4/5, 80%) had acute kidney injury (AKI) at disease onset. Phospholipase A2 receptor (PLA2R) in kidney tissue was negative in three (3/5, 60%) patients, and no deposition of virus particles was measured among all patients. Conventional immunosuppressive drugs could induce disease remission. The underlying pathogenesis included the subepithelial deposition of viral antigens and aberrant immune response. New-onset and relapsed MN after COVID-19 vaccination generally occurred within two weeks after the second dose of vaccine. Almost 27% of patients (10/37) suffered from AKI. In total, 11 of 14 cases showed positive for PLA2R, and 20 of 26 (76.9%) presented with an elevated serum phospholipase A2 receptor antibody (PLA2R-Ab), in which 8 cases exceeded 50 RU/mL. Conventional immunosuppressive medications combined with rituximab were found more beneficial to disease remission for relapsed patients. In contrast, new-onset patients responded to conservative treatment. Overall, most patients (24/37, 64.9%) had a favorable prognosis. Cross immunity and enhanced immune response might contribute to explaining the mechanisms of MN post COVID-19 vaccination. Full article
(This article belongs to the Section SARS-CoV-2 and COVID-19)
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