key: cord-1055047-mrv2cpjw authors: Wang, Yan; Fan, Zhe; Wang, Shuang; Zhuang, Chengjun title: The diagnostic value of platelet distribution width in patients with mild COVID‐19 date: 2021-03-27 journal: J Clin Lab Anal DOI: 10.1002/jcla.23703 sha: 1aa20e44bc14f989b4f06e2421aecae303ce2828 doc_id: 1055047 cord_uid: mrv2cpjw COVID‐19 has a worldwide distribution; however, there is no effective diagnosis marker, especially for the mild‐type COVID‐19. The purpose of the current study was to identify parameters for mild‐type COVID‐19. We retrospectively analyzed a single‐center data of patients with mild COVID‐19. Forty patients diagnosed with COVID‐19 were enrolled. Peripheral blood indices between the admission and discharge times were collected and analyzed. The platelet distribution width (PDW) was shown to be an indicator of significant change. The receiver operating characteristic curve for PDW was 0.7; the sensitivity and specificity for PDW were 82.5% and 55.0%, respectively. Therefore, a potential diagnostic value of PDW for mild‐type COVID‐19 was demonstrated. subjects are asymptomatic. 8 In this study, we kept a watchful eye on patients with mild-type infections. Because of the atypical symptoms, patients with mild-type infections are more likely neglected and post a threat to healthy people. We investigated meaningful parameters for the diagnosis of COVID-19 by analyzing routine blood testing results. We retrospectively studied 40 patients who were confirmed to have SARS-CoV-2 infections at the Leishenshan Hospital in Wuhan. The enrolled patients had mild-type COVID-19 with hospital stays between February and May 2020. Patient age and sex were recorded. According to the different indices of admission and discharge, the data were separated into admission and discharge groups. The exclusion criteria were as follows: more than mild disease on admission and co-morbid diseases, such as hypertension, diabetes, and tumors. Blood specimens were harvested into tubes containing potassium ethylenediaminetetraacetic acid (EDTA) after collection from the cephalic vein and analyzed on an automatic hematology analyzer. The results of the sex-and age-matched healthy people were collected for receiver operating characteristic (ROC) curve analysis. This research was approved by the Ethics Committee of The Second Affiliated Hospital of Dalian Medical University . Every patient signed an informed consent for using the medical data. Data were analyzed using SPSS 20.0 software. Continuous variables are shown as the mean ±standard error (SE). Paired t test analysis was performed to access the differences between the admission and discharge groups. The ROC curve was used to create the area under the curve (AUC). Statistical significance was considered to be a p value <0.05. The demographic data of the enrolled 40 patients are shown in (Table 2) . Based on the above research results, PDW was selected for further study. A control group comprised of 40 healthy people was assembled; the sex and age were matched with the COVID-19 patients. The admission and control groups had an equal variance. The control group demographic data are shown in Table 3 . The PDW changes between the admission and control groups are shown in Table 4 . There was a significant difference between the two groups (p < 0.05). The AUC of PDW was 0.70, the cutoff value was 12.7 fL, and the sensitivity and specificity were 82.5% and 55.0%, respectively (Table 5, Figure 1 ). In the study, we included 40 patients with confirmed COVID-19 infections from one center. The PDW was shown to be a potential marker for diagnosis of the mild-type of COVID-19. Indeed, the PDW from a routine peripheral blood examination could suggest SARS-CoV-2 infections to physicians when the value is ≤12.7 fL. The present study was supported by the National Natural Science None. Data could be got from the corresponding author. 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