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  1. Article: Platelet count in patients with severe coronavirus disease 2019.

    Kawada, Tomoyuki

    EXCLI journal

    2021  Volume 20, Page(s) 17–18

    Language English
    Publishing date 2021-01-04
    Publishing country Germany
    Document type Journal Article
    ISSN 1611-2156
    ISSN 1611-2156
    DOI 10.17179/excli2020-3092
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Daily combined measurement of platelet count and presepsin concentration can predict in-hospital death of patients with severe coronavirus disease 2019 (COVID-19).

    Ishikura, Hiroyasu / Maruyama, Junichi / Nakashio, Maiko / Hoshino, Kota / Morimoto, Shinichi / Izutani, Yoshito / Noake, Junta / Yamagaito, Takahiro / Yoshida, Maho / Kitamura, Taisuke / Nakamura, Yoshihiko

    International journal of hematology

    2023  Volume 117, Issue 6, Page(s) 845–855

    Abstract: The purpose of this study was to classify patients with severe COVID-19 into more detailed risk ... every day for eight intensive care unit days in 54 adult patients with severe COVID-19. The patients were ... showed that the combined measurement of platelet count and presepsin concentrations may be the most ...

    Abstract The purpose of this study was to classify patients with severe COVID-19 into more detailed risk groups using coagulation/fibrinolysis, inflammation/immune response, and alveolar/myocardial damage biomarkers, as well as to identify prognostic markers for these patients. These biomarkers were measured every day for eight intensive care unit days in 54 adult patients with severe COVID-19. The patients were classified into survivor (n = 40) and non-survivor (n = 14) groups. Univariate and multivariate analyses showed that the combined measurement of platelet count and presepsin concentrations may be the most valuable for predicting in-hospital death, and receiver operating characteristic curve analysis further confirmed this result (area under the curve = 0.832). Patients were consequently classified into three groups (high-, medium-, and low-risk) on the basis of their cutoff values (platelet count 53 × 10
    MeSH term(s) Adult ; Humans ; COVID-19 ; Prognosis ; Hospital Mortality ; Platelet Count ; Biomarkers ; ROC Curve ; Peptide Fragments ; Lipopolysaccharide Receptors
    Chemical Substances Biomarkers ; presepsin protein, human ; Peptide Fragments ; Lipopolysaccharide Receptors
    Language English
    Publishing date 2023-03-15
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 1076875-0
    ISSN 1865-3774 ; 0917-1258 ; 0925-5710
    ISSN (online) 1865-3774
    ISSN 0917-1258 ; 0925-5710
    DOI 10.1007/s12185-023-03555-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Platelet Indices and Platelet to Lymphocyte Ratio (PLR) as Markers for Predicting COVID-19 Infection Severity.

    Ravindra, Rahul / Ramamurthy, Prakriti / Aslam S, Shaikh Mohammed / Kulkarni, Ashwin / K, Suhail / Ramamurthy, Pranav S

    Cureus

    2022  Volume 14, Issue 8, Page(s) e28206

    Abstract: ... into the mild and severe (moderate severity included) groups. Platelet count, MPV, PDW, and PLR done ... admitted with COVID-19 infection were studied. 51 patients had a mild and 49 had a severe infection ... The mean PLR was 141.40 among patients with mild illness and 252.6 with severe infection (P<0.001 ...

    Abstract Background Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (or coronavirus disease 2019; COVID-19) has caused a large number of infections across the globe. Numerous markers are being used to predict the severity of infection. This study was undertaken to assess the utility of platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and platelet lymphocyte ratio (PLR) as markers of severity and mortality among patients with COVID-19 infection. Methodology This is a retrospective study conducted in a tertiary care center in India from April 2021 to June 2021. Patients admitted with COVID-19 infection were included in the study. Based on the severity, patients were categorized into the mild and severe (moderate severity included) groups. Platelet count, MPV, PDW, and PLR done at admission were studied and correlated with the disease severity and mortality. Statistics The independent t-test was used to compare the variables. The receiver operating characteristic (ROC) curve was done to identify the cut-off value. Statistical analysis was performed using SPSS 18 software (SPSS Inc. Released 2009. PASW Statistics for Windows, Version 18.0. Chicago: SPSS Inc). Results One hundred patients admitted with COVID-19 infection were studied. 51 patients had a mild and 49 had a severe infection. The mean PLR was 141.40 among patients with mild illness and 252.6 with severe infection (P<0.001). The mean PLR among survivors was 104.4 (SD-23.56) and among nonsurvivors was 302.78 (SD-34.5) (P<0.001). There was no statistically significant difference between the two groups with respect to platelet count, MPV, and PDW. Conclusion PLR was found to be a reliable marker of severity and mortality among patients with COVID-19 illness.
    Language English
    Publishing date 2022-08-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.28206
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  4. Article: The Role of Platelet Parameters in Predicting the Disease Severity of COVID-19 Patients: A Hospital-Based Study.

    Choudhury, Sampa / Dubey, Suparna / Zumu, Mhasisielie / Mustafa P P, Mohammed / Burma, Amrita / Kumar, Saurabh

    Cureus

    2024  Volume 16, Issue 1, Page(s) e51523

    Abstract: ... contagious coronavirus disease 2019 (COVID-19) infection, and several pieces of literature were published ... them with the disease severity. Methods The COVID-19 patients who were hospitalized during the second peak ... analyzed the platelet parameters and platelet-leucocyte ratios in COVID-19 patients and correlated ...

    Abstract Background and objective Globally, a large number of people have been impacted by the extremely contagious coronavirus disease 2019 (COVID-19) infection, and several pieces of literature were published on hematological parameter changes in this infection, particularly focusing on leucocytes. In this study, we have analyzed the platelet parameters and platelet-leucocyte ratios in COVID-19 patients and correlated them with the disease severity. Methods The COVID-19 patients who were hospitalized during the second peak of the pandemic were assessed. The platelet count and indices, platelet to lymphocyte ratio (PLR), neutrophil to platelet ratio (NPR), and clinical severity of each patient were analyzed. The significance of parameters and clinical severity was evaluated using analysis of variance (ANOVA) and the Kruskal Wallis test. A bivariate analysis was performed to assess the strength of the association. Receiver operating characteristic (ROC) curves were plotted to detect the predictive value of parameters for disease severity. Results The data of 132 COVID-19 patients has been evaluated. The average mean age was 45.60 ± 15.76 years with slight female predominance. Thrombocytopenia was found in 33% of cases with the majority of them being mild. Age, platelet distribution width (PDW), and PLR and NPR parameters were significantly (p-value <0.05) associated with disease severity. ROC curves showed age, PDW, PLR, NPR, absolute neutrophil count (ANC), and absolute lymphocyte count (ALC) had significant prediction values for clinical severity. Conclusions Platelet parameters may not accurately reflect the severity of the disease, but when combined with leucocyte parameters and their ratios (PLR and NPR), they offer important information about disease severity.
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.51523
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Relationship between neutrophil-lymphocyte ratio and platelet-lymphocyte ratio with the severity of COVID-19.

    Arini, Ida A / Masyeni, Sri / Widhidewi, Ni W

    Narra J

    2024  Volume 4, Issue 1, Page(s) e262

    Abstract: Coronavirus disease 2019 (COVID-19) is an infectious disease that spreads rapidly causing a high ... patients were included in the study, the majority of COVID-19 patients had moderate (77.9%) severity ... at Tabanan Regency General Hospital, Bali, Indonesia, from January 2021 to December 2022. All patients ...

    Abstract Coronavirus disease 2019 (COVID-19) is an infectious disease that spreads rapidly causing a high case fatality rate in vulnerable populations. Neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are known to be inflammatory biomarkers in certain infections. The aim of this study was to determine the relationship between NLR and PLR with the severity of COVID-19. A cross-sectional study was conducted at Tabanan Regency General Hospital, Bali, Indonesia, from January 2021 to December 2022. All patients included in the study tested positive for COVID-19 by real-time polymerase chain reaction (RT-PCR), aged 18-50 years with no comorbid. Laboratory examinations were carried out on admission. The patients were categorized into two groups based on the severity: moderate and severe/critical. The Mann-Whitney test was used to determine the association between NLR and PLR with the severity of COVID-19. A total of 104 patients were included in the study, the majority of COVID-19 patients had moderate (77.9%) severity. The average NLR was 5.8 and the PLR was 21.7. There was a significant relationship between NLR (
    MeSH term(s) Humans ; COVID-19/blood ; COVID-19/diagnosis ; COVID-19/immunology ; Male ; Female ; Cross-Sectional Studies ; Neutrophils ; Severity of Illness Index ; Middle Aged ; Adult ; Indonesia/epidemiology ; Lymphocyte Count ; Platelet Count ; Lymphocytes ; Blood Platelets/pathology ; Biomarkers/blood ; Adolescent ; SARS-CoV-2 ; Young Adult
    Chemical Substances Biomarkers
    Language English
    Publishing date 2024-03-02
    Publishing country Indonesia
    Document type Journal Article
    ISSN 2807-2618
    ISSN (online) 2807-2618
    DOI 10.52225/narra.v4i1.262
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  6. Article: Platelet-to-White Blood Cell Ratio as a Predictor of Mortality in Patients with Severe COVID-19 Pneumonia: A Retrospective Cohort Study.

    Thungthienthong, Metus / Vattanavanit, Veerapong

    Infection and drug resistance

    2023  Volume 16, Page(s) 445–455

    Abstract: ... disease 2019 (COVID-19) severity. However, the clinical significance of these markers in severe COVID-19 ... mortality in patients with severe COVID-19 pneumonia.: Patients and methods: We conducted ... patients who had been diagnosed with severe COVID-19 pneumonia were enrolled. Demographic and clinical data ...

    Abstract Purpose: Complete blood count (CBC) parameters are widely used as predictors of Coronavirus disease 2019 (COVID-19) severity. However, the clinical significance of these markers in severe COVID-19 pneumonia remains unclear. This study aimed to investigate the role of CBC parameters in predicting mortality in patients with severe COVID-19 pneumonia.
    Patients and methods: We conducted a retrospective study at a tertiary care center in southern Thailand. Between January 2020 and December 2021, adult patients who had been diagnosed with severe COVID-19 pneumonia were enrolled. Demographic and clinical data, including CBC data on admission, were analyzed and compared between survivors and non-survivors.
    Results: A total of 215 patients with severe COVID-19 pneumonia were enrolled. The in-hospital mortality was 29.3%. Non-survivors had a significantly lower platelet-to-white blood cell ratio (PWR) than survivors (15.8 vs 29.0, p < 0.001). PWR had the best accuracy in predicting in-hospital mortality, with an area under the curve (AUC) of the receiver operating characteristic curve of 0.801, followed by the CURB-65 of 0.789.
    Conclusion: PWR appears to be a simple independent predictor of mortality in patients with severe COVID-19 pneumonia.
    Language English
    Publishing date 2023-01-24
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S398731
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  7. Article: Aspartate aminotransferase to platelet ratio index has utility as a biomarker of COVID-19 severity in patients with nonalcoholic fatty liver disease.

    Takaya, Hiroaki / Ueyama, Shunichi / Osaki, Yui / Kaji, Kosuke / Kawaratani, Hideto / Saito, Ko / Aizawa, Shigeyuki / Namisaki, Tadashi / Morioka, Chie / Yoshida, Motoyuki / Akahane, Takemi / Yoshiji, Hitoshi

    Hepatology research : the official journal of the Japan Society of Hepatology

    2023  Volume 53, Issue 11, Page(s) 1047–1058

    Abstract: ... coronavirus disease 2019 (COVID-19) severity compared with patients without NAFLD. Previous studies have ... disease severity among patients with NAFLD infected with SARS-CoV-2 has yet to be evaluated.: Methods ... Aim: Patients with nonalcoholic fatty liver disease (NAFLD) are reported to have greater ...

    Abstract Aim: Patients with nonalcoholic fatty liver disease (NAFLD) are reported to have greater coronavirus disease 2019 (COVID-19) severity compared with patients without NAFLD. Previous studies have reported that noninvasive liver fibrosis scores, including the Fibrosis-4 index, NAFLD fibrosis score, and aspartate aminotransferase to platelet ratio index (APRI), have utility in predicting COVID-19 mortality and disease severity in patients without NAFLD. However, the utility of liver fibrosis scores in predicting COVID-19 mortality and disease severity among patients with NAFLD infected with SARS-CoV-2 has yet to be evaluated.
    Methods: This retrospective observational study comprised 126 patients with NAFLD and active SARS-CoV-2 infection. Patients were classified into low COVID-19 severity (mild or moderate I disease) and high COVID-19 severity (moderate II or severe disease) groups based on the therapeutic guideline implemented by the Ministry of Health, Labor, and Welfare of Japan.
    Results: Of the 126 patients, only one had been diagnosed with NAFLD before admission. Age; levels of serum aspartate aminotransferase, γ-glutamyl transpeptidase, lactate dehydrogenase, blood urea nitrogen, and serum C-reactive protein; Fibrosis-4 index; NAFLD fibrosis score; and APRI levels on admission were higher in the high COVID-19 severity group compared with the low COVID-19 severity group. Serum albumin levels, platelet counts, and lymphocyte counts on admission were lower in the high COVID-19 severity group compared with the low COVID-19 severity group. Univariate and multivariate analysis revealed that APRI values were significantly associated with COVID-19 severity and hospitalization duration for COVID-19.
    Conclusions: APRI was independently associated with COVID-19 severity and hospitalization duration for COVID-19 in patients with NAFLD.
    Language English
    Publishing date 2023-07-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1387041-5
    ISSN 1386-6346 ; 0928-4346
    ISSN 1386-6346 ; 0928-4346
    DOI 10.1111/hepr.13943
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  8. Article: Platelet-Based Biomarkers for Diagnosis and Prognosis in COVID-19 Patients.

    Alberca, Ricardo Wesley / Solis-Castro, Rosa Liliana / Solis-Castro, Maria Edith / Cardoso, Fernanda / Duarte, Alberto Jose da Silva / Oliveira, Luana de Mendonça / Pereira, Nátalli Zanete / Gozzi-Silva, Sarah Cristina / Oliveira, Emily Araujo de / Aoki, Valeria / Orfali, Raquel Leao / Beserra, Danielle Rosa / Andrade, Milena Mary de Souza / Sato, Maria Notomi

    Life (Basel, Switzerland)

    2021  Volume 11, Issue 10

    Abstract: Coronavirus disease 2019 (COVID-19) caused millions of deaths worldwide. COVID-19's clinical ... the disease outcome. We investigated 306 patients with COVID-19, confirmed ... in multiple organ failure, sepsis, and death. Severe COVID-19 patients develop pulmonary and extrapulmonary infections ...

    Abstract Coronavirus disease 2019 (COVID-19) caused millions of deaths worldwide. COVID-19's clinical manifestations range from no symptoms to a severe acute respiratory syndrome, which can result in multiple organ failure, sepsis, and death. Severe COVID-19 patients develop pulmonary and extrapulmonary infections, with a hypercoagulable state. Several inflammatory or coagulatory biomarkers are currently used with predictive values for COVID-19 severity and prognosis. In this manuscript, we investigate if a combination of coagulatory and inflammatory biomarkers could provide a better biomarker with predictive value for COVID-19 patients, being able to distinguish between patients that would develop a moderate or severe COVID-19 and predict the disease outcome. We investigated 306 patients with COVID-19, confirmed by severe acute respiratory syndrome coronavirus 2 RNA detected in the nasopharyngeal swab, and retrospectively analyzed the laboratory data from the first day of hospitalization. In our cohort, biomarkers such as neutrophil count and neutrophil-to-lymphocyte ratio from the day of hospitalization could predict if the patient would need to be transferred to the intensive care unit but failed to identify the patients´ outcomes. The ratio between platelets and inflammatory markers such as creatinine, C-reactive protein, and urea levels is associated with patient outcomes. Finally, the platelet/neutrophil-to-lymphocyte ratio on the first day of hospitalization can be used with predictive value as a novel severity and lethality biomarker in COVID-19. These new biomarkers with predictive value could be used routinely to stratify the risk in COVID-19 patients since the first day of hospitalization.
    Language English
    Publishing date 2021-09-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life11101005
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  9. Article ; Online: Mean platelet volume/platelet count ratio predicts severe pneumonia of COVID-19.

    Zhong, Qingyang / Peng, Jie

    Journal of clinical laboratory analysis

    2020  Volume 35, Issue 1, Page(s) e23607

    Abstract: ... coronavirus infectious disease 2019 (COVID-19) remains unclear.: Methods: In this retrospective study, 85 patients ... risk factor for severe pneumonia in patients with COVID-19. ... Background: Although platelet mean volume/platelet count ratio (MPR) is considered to be a crucial ...

    Abstract Background: Although platelet mean volume/platelet count ratio (MPR) is considered to be a crucial marker of inflammatory and infectious diseases, the relationship between MPR and novel coronavirus infectious disease 2019 (COVID-19) remains unclear.
    Methods: In this retrospective study, 85 patients with confirmed COVID-19 were enrolled and divided into low and high MPR group. Data from repeated measures were compared by the generalized estimating equations. Cox regression analyses were performed to assess the impact of MPR on the incidence of severe pneumonia (SP), with inverse probability of treatment weighting (IPTW) used to reduce confounding bias. The primary outcome is the incidence of SP of COVID-19.
    Results: During follow-up, 17 (20.0%) patients were developed to SP. Compared with mild patients, patients with SP developed showed a higher MPR level at baseline, day 1, day 2, and day 3 after admission (P = .005, P = .015, P = .009, and P = .032, respectively). Kaplan-Meier method showed a higher incidence of SP in the high MPR group than the low MPR group (log-rank test = 10.66, P = .001). After adjustment, high MPR was associated with an elevated incidence of SP (HR, 5.841, 95% CI, 1.566-21.791, P = .009). The IPTW method also suggested that MPR was a significant factor related to the incidence of SP (HR, 8.337, 95% CI, 4.045-17.182, P < .001).
    Conclusion: High MPR level is an independent risk factor for severe pneumonia in patients with COVID-19.
    MeSH term(s) Adult ; Aged ; Anti-Bacterial Agents/therapeutic use ; Antiviral Agents/therapeutic use ; COVID-19/blood ; COVID-19/complications ; COVID-19/drug therapy ; Chloroquine/therapeutic use ; Female ; Humans ; Male ; Mean Platelet Volume ; Middle Aged ; Oxygen/therapeutic use ; Platelet Count ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/etiology ; ROC Curve ; Risk Factors
    Chemical Substances Anti-Bacterial Agents ; Antiviral Agents ; Chloroquine (886U3H6UFF) ; Oxygen (S88TT14065)
    Keywords covid19
    Language English
    Publishing date 2020-10-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 645095-7
    ISSN 1098-2825 ; 0887-8013
    ISSN (online) 1098-2825
    ISSN 0887-8013
    DOI 10.1002/jcla.23607
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  10. Article ; Online: A systematic review and meta-analysis of the association between the neutrophil, lymphocyte, and platelet count, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio and COVID-19 progression and mortality.

    Zinellu, Angelo / Mangoni, Arduino A

    Expert review of clinical immunology

    2022  Volume 18, Issue 11, Page(s) 1187–1202

    Abstract: Background and aims: Severe manifestations of coronavirus disease 2019 (COVID-19) are associated ... systematic review and meta-analysis of the association between the neutrophil, lymphocyte, and platelet count ... modified in sensitivity analysis.: Conclusions: NLR and neutrophil, lymphocyte, and platelet count ...

    Abstract Background and aims: Severe manifestations of coronavirus disease 2019 (COVID-19) are associated with alterations in blood cells that regulate immunity, inflammation, and hemostasis. We conducted an updated systematic review and meta-analysis of the association between the neutrophil, lymphocyte, and platelet count, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), and COVID-19 progression and mortality.
    Methods: A systematic literature search was conducted in PubMed, Web of Science, and Scopus for studies published between January 2020 and June 2022.
    Results: In 71 studies reporting the investigated parameters within 48 hours of admission, higher NLR (HR 1.21, 95% CI 1.16 to 1.27, p < 0.0001), relative neutrophilia (HR 1.62, 95% CI 1.46 to 1.80, p < 0.0001), relative lymphopenia (HR 1.62, 95% CI 1.27 to 2.08, p < 0.001), and relative thrombocytopenia (HR 1.74, 95% CI 1.36 to 2.22, p < 0.001), but not PLR (p = 0.11), were significantly associated with disease progression and mortality. Between-study heterogeneity was large-to-extreme. The magnitude and direction of the effect size were not modified in sensitivity analysis.
    Conclusions: NLR and neutrophil, lymphocyte, and platelet count significantly discriminate COVID-19 patients with different progression and survival outcomes. (PROSPERO registration number: CRD42021267875).
    MeSH term(s) Humans ; Platelet Count ; Neutrophils ; Lymphocyte Count ; COVID-19 ; Prognosis ; Lymphocytes ; Blood Platelets ; Retrospective Studies
    Language English
    Publishing date 2022-09-05
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2274260-8
    ISSN 1744-8409 ; 1744-666X
    ISSN (online) 1744-8409
    ISSN 1744-666X
    DOI 10.1080/1744666X.2022.2120472
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