Immature platelet fraction: is a novel early predictive marker for disease severity in patients with Covid-19 pneumonia?

被引:4
|
作者
Incir, Said [1 ]
Komesli, Zeynep [2 ]
Baygul, Arzu [3 ]
Tasdemir, Zeynep Atam [4 ]
Palaoglu, Kerim Erhan [5 ]
Kant, Hatice [6 ]
Kapmaz, Mahir [7 ]
Tekin, Suda [7 ]
Kilic, Alparslan [8 ]
Dagel, Tuncay [9 ]
Okan, Ayse [6 ]
Somay, Kayra [2 ]
Akpinar, Timur Selcuk [10 ]
机构
[1] Koc Univ Hosp, Clin Biochem Lab, Davutpasa St 4 Topkapi, TR-34010 Istanbul, Turkey
[2] Koc Univ Hosp, Dept Internal Med, Istanbul, Turkey
[3] Koc Univ, Sch Med, Istanbul, Turkey
[4] Bagcilar Training & Res Hosp, Dept Pulmonol, Istanbul, Turkey
[5] Amer Hosp, Dept Clin Lab, Istanbul, Turkey
[6] Koc Univ Hosp, Dept Clin Lab, Istanbul, Turkey
[7] Koc Univ Hosp, Infect Dis & Clin Microbiol, Istanbul, Turkey
[8] Koc Univ Hosp, Dept Cardiol, Istanbul, Turkey
[9] Koc Univ Hosp, Dept Internal Med, Div Nephrol, Istanbul, Turkey
[10] Koc Univ, Dept Internal Med, Sch Med, Istanbul, Turkey
关键词
biomarker; blood cell count; COVID-19; immature platelet fraction; SARS-CoV-2; CLINICAL-RELEVANCE; SEPSIS;
D O I
10.1515/tjb-2021-0070
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Objectives: In many diseases, immature platelet fraction (IPF%) is related to coagulopathy and poor outcome. This study aimed to investigate the predictive value of IPF% for the severity of pneumonia in patients with Coronavirus Disease 2019 (COVID-19). Methods: A total of 154 patients with COVID-19 infections were included. The patients were divided into two groups according to the severity of pneumonia (severe and nonsevere) regarding their oxygen demand. Results: Given laboratory parameters, the median IPF% was significantly higher in the severe group (11.9 vs. 3.9%, p<0.001). Mean platelet volume (p<0.001), platelet-large cell ratio (p=0.001), platelet distribution width (p=0.001), D-Dimer (p<0.001), INR (p=0.003), and aPTT (p=0.007) were also found to be significantly higher in the severe group. Moreover, IPF (p=0.014, Odds ratio = 2.000, 95%CI: 1.149-3.482) was an independent predictor for the severity. The curve value from receiver operating characteristics was 0.879 (p<0.001, 95%CI: 0.784-0.943) for determining the severity of pneumonia. IPF% had a sensitivity and specificity value of 69.5 and 92.4% to detect the disease's severity. Conclusions: IPF% is an independent predictor for the severity of COVID-19 pneumonia. Assessment of IPF% may both help to early determine high-risk patients with COVID-19 and to alert the physicians.
引用
收藏
页码:359 / 366
页数:8
相关论文
共 50 条
  • [21] A predictive model for the severity of COVID-19 in elderly patients
    Zeng, Furong
    Deng, Guangtong
    Cui, Yanhui
    Zhang, Yan
    Dai, Minhui
    Chen, Lingli
    Han, Duoduo
    Li, Wen
    Guo, Kehua
    Chen, Xiang
    Shen, Minxue
    Pan, Pinhua
    AGING-US, 2020, 12 (21): : 20982 - 20996
  • [22] THE MULBSTA SCORE: PREDICTING RISK OF MORTALITY AND DISEASE SEVERITY IN PATIENTS WITH COVID-19 PNEUMONIA
    Tusha, Jurgena
    Khanam, Verisha
    Tegeltija, Vesna
    Kumar, Sarwan
    CHEST, 2020, 158 (04) : 300A - 300A
  • [23] Eosinopenia is a reliable marker of severe disease and unfavourable outcome in patients with COVID-19 pneumonia
    Cazzaniga, Massimo
    Fumagalli, Luca A. M.
    D'angelo, Luciano
    Cerino, Mario
    Bonfanti, Giulia
    Fumagalli, Riccardo M.
    Schiavo, Gianpaolo
    Lorini, Cristina
    Lainu, Elisa
    Terragni, Sabina
    Chiarelli, Marco
    Scarazzati, Claudio
    Bonato, Claudio
    Zago, Mauro
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2021, 75 (07)
  • [24] Immature platelet fraction as a systemic inflammation marker in patients with chronic obstructive pulmonary disease
    Absieh, Nasser
    Arslan, Fatma
    Dogan, Oezlem
    Kaya, Aslihan Gueruen
    Oz, Mirac
    Erol, Serhat
    Ciledag, Aydin
    Kaya, Akin
    INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2024,
  • [25] SPONTANEOUS PNEUMOMEDIASTINUM: PROGNOSTIC MARKER IN PATIENTS WITH COVID-19 PNEUMONIA?
    Patel, Femina
    Ghosh, Sudeshna
    Ansari, Saad
    Chitkara, Akshit
    CHEST, 2022, 162 (04) : 2478A - 2478A
  • [26] Proteomic analysis identifies a signature of disease severity in the plasma of COVID-19 pneumonia patients associated to neutrophil, platelet and complement activation
    Ciccosanti, Fabiola
    Antonioli, Manuela
    Sacchi, Alessandra
    Notari, Stefania
    Farina, Anna
    Beccacece, Alessia
    Fusto, Marisa
    Vergori, Alessandra
    D'Offizi, Gianpiero
    Taglietti, Fabrizio
    Antinori, Andrea
    Nicastri, Emanuele
    Marchioni, Luisa
    Palmieri, Fabrizio
    Ippolito, Giuseppe
    Piacentini, Mauro
    Agrati, Chiara
    Fimia, Gian Maria
    CLINICAL PROTEOMICS, 2022, 19 (01)
  • [27] Proteomic analysis identifies a signature of disease severity in the plasma of COVID-19 pneumonia patients associated to neutrophil, platelet and complement activation
    Fabiola Ciccosanti
    Manuela Antonioli
    Alessandra Sacchi
    Stefania Notari
    Anna Farina
    Alessia Beccacece
    Marisa Fusto
    Alessandra Vergori
    Gianpiero D’Offizi
    Fabrizio Taglietti
    Andrea Antinori
    Emanuele Nicastri
    Luisa Marchioni
    Fabrizio Palmieri
    Giuseppe Ippolito
    Mauro Piacentini
    Chiara Agrati
    Gian Maria Fimia
    Clinical Proteomics, 2022, 19
  • [28] Sick Euthyroid Syndrome on Presentation of Patients With COVID-19: A Potential Marker for Disease Severity
    Schwarz, Yair
    Percik, Ruth
    Oberman, Bernice
    Yaffe, Dana
    Zimlichman, Eyal
    Tirosh, Amir
    ENDOCRINE PRACTICE, 2021, 27 (02) : 101 - 109
  • [29] Ferritin as a Marker of Severity in COVID-19 Patients: A Fatal Correlation
    Dahan, Shani
    Segal, Gad
    Katz, Itai
    Hellou, Tamar
    Tietel, Michal
    Bryk, Gabriel
    Amital, Howard
    Shoenfeld, Yehuda
    Dagan, Amir
    ISRAEL MEDICAL ASSOCIATION JOURNAL, 2020, 22 (08): : 428 - 434
  • [30] Platelet to Lymphocyte Ratio and Neutrophil to Lymphocyte Ratio as a Severity Marker in Moderate to Severe COVID-19 Patients
    Singhal, Clovey
    Joshi, Abhishek
    Mehendale, Ashok
    Vaishnav, Lokesh Mukut
    JOURNAL OF RESEARCH IN MEDICAL AND DENTAL SCIENCE, 2022, 10 (08): : 239 - 243