Yoğun bakım ünitesinde ortalama platelet hacmi ve platelet dağılım hacminin mortaliteye etkisi

Gençay, Işın; Büyükkoçak, Ünase; Ateş, Gökay; Çağlayan, Osman

doi:10.32322/jhsm.643639

Cited by 6 publications

(7 citation statements)

References 26 publications

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“…In another study with 82 survivors and 25 non-survivors, both the admission MPV and last MPV values were higher on non-survivor group than survivors [22] . In the study performed by Gencay et al, [23] while the first and last MPV values were different in the deceased group, there was no significant difference between the first and last MPV values of the discharged patients were found. In our study, in accordance with the above-mentioned studies, it was observed that besides the first and last MPV values, the difference and ratio between them were also associated with mortality.…”

Section: Discussionmentioning

confidence: 76%

Mean Platelet Volume as an early predictor for the complication of COVID-19

Sertbaş¹

2021

Haydarpasa Numune Med J

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Introduction: Although several studies have been conducted on the association of mean platelet volume (MPV) with the diagnosis, morbidity, and mortality of coronavirus disease 19 (COVID-19) patients, the results were contradictory. We aimed to investigate the effects of MPV on hospitalization and mortality with a significant number of patients. Methods: This multicenter study was carried out retrospectively on 9.487 patients. The demographic information and laboratory parameters of the patients were obtained from their medical records in the hospital. Analyses were performed using Statistical Package for the Social Sciences (SPSS) version 22.0 for Windows. Results: In total, there were 806 intensive care unit (ICU) patients, in addition to 8.681 non-ICU patients. The mean age of patients in ICU was significantly higher than non-ICU (71.25±13.42 vs. 56.17±16.59; p<0.001). MPV values at admission and max MPV values during the period of hospitalization were significantly higher in patients followed in the ICU (p<0.05). MPVfirst , MPV last , ΔMPV last-first , and ΔMPV% values were significantly higher in non-survivor group than the survived patients. As a result of receiver-operating characteristic analysis, the risk of mortality was determined to be 5.15 fold greater in people with MPVlast ≥10.05 fl. (ODDS ratio:5.15 95% CI: 4.374-6.067). The patient has a 4.62 fold risk of death after a 2.18% increase of arrival MPV value (ODDS ratio: 4.62, 95% CI: 3.455-6.203). Discussion and Conclusion: We thought that MPV and MPV changes during hospitalization may be a powerful predictor of mortality in patients with COVID-19.

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Section: Discussionmentioning

confidence: 76%

Mean Platelet Volume as an early predictor for the complication of COVID-19

Sertbaş¹

2021

Haydarpasa Numune Med J

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“…Inflammatory cytokines are known to induce the release of large platelets from the bone marrow by stimulating thrombopoiesis 10 . It has been established that MPV is a key factor associated with mortality in many diseases 11,12 . However, the prevalence of thrombocytopenia has been emphasized in many studies 13 .…”

Section: Introductionmentioning

confidence: 99%

The value of the platelet count and platelet indices in differentiation of COVID‐19 and influenza pneumonia

Özçelik

Özyurt

Kara

et al. 2020

Journal of Medical Virology

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It is difficult to distinguish coronavirus disease‐2019 (COVID‐19) from other viral respiratory tract infections owing to the similarities in clinical and radiological findings. This study aims to determine the clinical importance of platelet count and platelet indices in the differentiation of COVID‐19 from influenza and the value of these parameters in the differential diagnosis of COVID‐19. The medical records of the patients and the electronic patient monitoring system were retrospectively analyzed. Demographic characteristics, admission symptoms, laboratory findings, radiological involvement, comorbidities, and mortality of the patients were recorded. Forty‐three patients diagnosed with influenza and 54 diagnosed with COVID‐19 were included in the study. The average age of the COVID‐19 patients was lower than that of the influenza patients (influenza: 60.5 years, COVID‐19: 52.4 years; pp = 0.024),.024), and the male gender was predominant in the COVID‐19 group (influenza: 42%, COVID‐19: 56%). According to laboratory findings, the mean platelet volume (MPV) and MPV/platelet ratio were statistically significantly lower, whereas the eosinophil count and platelet distribution width levels were significantly higher (p < 0.05) in the COVID‐19 group. It was found that the most common symptom in both groups was dyspnea and that the symptom was more prevalent among influenza patients. In the diagnosis of COVID‐19, the platelet count and platelet indices are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID‐19 from influenza during seasonal outbreaks of the latter.

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“…In Zhong et al's research with 85 cases, high MPR levels were spotted to be an independent risk factor for severe pneumonia in COVID-19 cases (18). Guclu et al found that the decreased MPV values were associated with mortality in the follow-up of the COVID-19 cases (49), in contrast to the other studies supporting a significant relationship between high MPV and mortality in patients hospitalized in the ICU (50). In a mortality study with 100 patients, it was found that MPR is not significantly associated with mortality (29).…”

Section: Discussionmentioning

confidence: 94%

High Mean Platelet Volume and Mean Platelet Volume/Platelet Ratio Predict Mortality for COVID-19 Patients in Intensive Care Unit

Gökmen¹,

Şebin

KOÇMAN>³

et al. 2022

New Trends in Medicine Sciences

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Background: Mean platelet volume to platelet count ratio can be a new marker of mortality in critical COVID-19 cases in intensive care unit to retrospectively examine the factors predicting death rate in COVID-19 cases. Methods: 106 patients infected with COVID-19 in intensive care unit were enrolled in this research. The patients’ hospital records and the patient management devices were thoroughly examined. Results: The Interleukin-6, C-reactive protein, procalcitonin, leukocyte count, neutrophil count, neutrophil %, neutrophil/lymphocyte ratio, and neutrophil/albumin ratio were significantly higher among nonsurvivors (respective results are as follows: p=0.0001, p=0.004, p=0.003, p=0.049, p=0.007, p=0.009, p=0.007 and p=0.0001). While the survivors had lower widths of platelet distribution and red blood cell distribution, as well as mean platelet volume and mean platelet volume to platelet count ratio (respective results are as follows: p=0.016, p=0.03, p=0.005 and p=0.049), hemoglobin, platelet, mean corpuscular hemoglobin concentration, lymphocyte % ve monocyte % were higher (respective results are as follows: p=0.022, p=0.033, p=0.042, p=0.008 and p=0.04). In the logistic regression, five features -including high levels of C-reactive protein, procalcitonin, pro-brain natriuretic peptide, mean platelet volum to platelet count ratio, and low level of platelet were shown as mortality predictors for COVID-19 patients in intensive care unit (respective results are as follows: p=0.045, p=0.025, p=0.017, p=0.027 and p=0.041). Conclusion: Mean platelet volume to platelet count ratio, neutrophil count/lymphocyte count, neutrophil count/albumin ratio predict mortality in critical cases of COVID-19 which will contribute to early detection and effective treatment to improve the survival of the patients.

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Yoğun bakım ünitesinde ortalama platelet hacmi ve platelet dağılım hacminin mortaliteye etkisi

Cited by 6 publications

References 26 publications

Mean Platelet Volume as an early predictor for the complication of COVID-19

Mean Platelet Volume as an early predictor for the complication of COVID-19

The value of the platelet count and platelet indices in differentiation of COVID‐19 and influenza pneumonia

High Mean Platelet Volume and Mean Platelet Volume/Platelet Ratio Predict Mortality for COVID-19 Patients in Intensive Care Unit

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