Trauma is the main cause of death and disability. Patients with severe trauma have hemorrhagic shock, traumatic coagulopathy and other diseases, which increase the risk of death. Platelets are important in the hemostatic response, but their function is rapidly dysregulated in trauma patients, leading to traumatic coagulopathy, blood loss, and early death. In addition to their role in hemostasis, platelets act as coordinators of the initial immune response, which can lead to immunothrombosis, organ dysfunction, and increased late mortality. At present, the treatment of post traumatic platelet dysfunction is mainly based on early hemostasis, and late prevention and treatment of thrombosis and organ dysfunction. In this review, the characteristics, underlying mechanisms, diagnosis and treatment strategies of platelet dysfunction in different periods are summarized, to provide ideas for studying the mechanism of platelet dysfunction after trauma and the treatment strategy for trauma patients.
Humans ; Wounds and Injuries/therapy* ; Blood Platelets/metabolism* ; Blood Platelet Disorders/etiology* ; Animals ; Hemostasis

OBJECTIVE: To analyze the occurrence of arterial events and platelet parameters in patients with polycythemia vera (PV) and essential thrombocythemia (ET), and to explore the characteristics of platelet parameters in patients with PV and ET and their relationship with arterial complications. METHODS: The clinical and laboratory data of newly diagnosed PV and ET patients who visited the Department of Hematology, Beijing Anzhen Hospital, Capital Medical University from August 2017 to August 2022 were retrospectively analyzed. RESULTS: 86 MPN patients (46 males and 40 females) were enrolled, including 44 PV patients and 42 ET patients, with an median age of 61(23-83) years. The mutation rate of JAK2V617F gene, the number of megakaryocytes in bone marrow, the incidence of splenomegaly, and the levels of white blood cell count (WBC), hemoglobin (HGB), hematocrit (HCT), platelet distribution width (PDW), mean platelet volume (MPV), platelet-large cell ratio (P-LCR) in PV patients were significantly higher than those in ET patients (P < 0.05), while the levels of PLT and PCT were significantly lower than those in ET patients (P < 0.01). 22 cases (50%) of PV patients were complicated with arterial events, of which 12 had arterial stenosis in≥2 locations. Among arterial events, the PDW of PV patients with ischemic stroke was greater than that of PV patients without ischemic stroke (P =0.003), and the PDW of PV patients with arterial stenosis in≥2 locations was greater than that of PV patients with arterial stenosis in≤1 location (P =0.037). 23 cases (54.8%) of ET patients were complicated with arterial events, and 7 cases had arterial stenosis in≥2 locations. In arterial events, the PCT of ET patients complicated with ischemic stroke was greater than that of ET patients without ischemic stroke (P =0.037), and the PCT of ET patients with≥2 locations of arterial stenosis was greater than that of ET patients with≤1 location of arterial stenosis (P =0.049). The binary logistic regression analysis showed that elevated PDW and PCT were risk factors for ischemic stroke in PV and ET patients, respectively (P < 0.05). CONCLUSION The platelet parameters of PV and ET patients exhibit significantly different characteristics. Elevated PDW and PCT can predict a higher risk of ischemic stroke in PV and ET patients, respectively.
Humans ; Middle Aged ; Female ; Male ; Aged ; Retrospective Studies ; Adult ; Thrombocythemia, Essential/blood* ; Myeloproliferative Disorders/complications* ; Aged, 80 and over ; Polycythemia Vera/blood* ; Blood Platelets ; Platelet Count ; Young Adult ; Mean Platelet Volume

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

Objective: To investigate the clinical and biological characteristics of familial platelet disorder (FPD) with germline Runt-related transcription factor (RUNX) 1 mutations. Methods: Patients diagnosed with myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML) with RUNX1 mutations from February 2016 to December 2021 in Wuhan No.1 Hospital underwent pedigree analysis and were screened for gene mutations (somatic and germline). Patients diagnosed with FPD with germline RUNX1 mutations were enrolled and evaluated in terms of clinical characteristics and biological evolution. Bioinformatics analysis was used to assess the pathogenicity of mutations and to analyze the effect of mutated genes on the function of the corresponding protein. Results: Germline RUNX1 mutations were detected in three out of 34 patients suffering from MDS/AML who had RUNX1 mutations. A pedigree of FPD with RUNX1 (RUNX1-FPD) c.562A>C and RUNX1 c.1415T>C mutations was diagnosed, and the mutations were of patrilineal origin. Bioinformatics analysis indicated that the locus at positions 188 and 472 in the AML-1G type of RUNX1 was highly conserved across different species, and that variations might influence functions of the proteins. The mutations were evaluated to be highly pathogenic. Of the nine cases with germline RUNX1 mutations: two patients died due AML progression; one case with AML survived without leukemia after transplantation of hemopoietic stem cells; four patients showed mild-to-moderate thrombocytopenia; two cases had no thrombocytopenia. During the disease course of the proband and her son, mutations in RUNX1, NRAS and/or CEBPA and KIT appeared in succession, and expression of cluster of differentiation-7 on tumor cells was enhanced gradually. None of the gene mutations correlated with the tumor were detected in the four cases not suffering from MDS/AML, and they survived until the end of follow-up. Conclusions: RUNX1-FPD was rare. The mutations c.562A>C and c.1415T>C of RUNX1 could be the disease-causing genes for the family with RUNX1-FPD, and these mutations could promote malignant transformation. Biological monitoring should be carried out regularly to aid early intervention for family members with RUNX1-FPD.
Humans ; Female ; Germ-Line Mutation ; Core Binding Factor Alpha 2 Subunit/genetics* ; Pedigree ; Blood Platelet Disorders/complications* ; Leukemia, Myeloid, Acute/genetics*

OBJECTIVE: To analyze the molecular polymorphisms of CD36 among 58 blood donors with CD36 deficiency and compare with CD36 positive controls. METHODS: A total of 58 donors with CD36 deficiency during a screening conducted in the laboratory from September 2019 to December 2020 were enrolled as the test group, including 39 males and 19 females, while 120 platelet donors with CD36 positive were randomly selected as the controls, including 76 males and 44 females. All of the subjects were Han nationality. The PCR-SBT method was used to detect coding region of CD36 gene, and molecular mutations were compared with those CD36 positive controls. RESULTS: Among the 58 donors with CD36 deficiency, mutations appears in 32 individuals. The detection rate for type I was 71.43% (5/7), and type II was 51.92% (27/52), while among the 120 controls, mutations appears in 12 donors (10%). In the CD36 antigen-deficient donors, 16 variations were found, in which 329-330 del AC with the highest frequency accounted for 20.69%, followed by 1228-1239 del ATTGTGCCTATT(15.52%) and 1156 C>T(10.34%). Two variations, 198-205 del GATCTTTG and 220 C>T, led to premature termination of translation; four mutations, 329-330 del AC, 560 ins T, 1011-1049 39bp dupl and 1343-1344 ins TCTT, caused translation frame shift; 1228-1239 del ATTGTGCCTATT led to deletion of four amino acids (Ile-Val-Pro-Ile) at sites 410-413 of the peptide chain. The 1140 T>A and 1275 G>A were synonymous mutations, and the other 7 mutations resulted in the substitution of single nucleotide. The platelet expression in the donors of CD36 positive with 329-330 del AC or 1228-1239 del ATTGTGCCTATT mutation (heterozygote) was lower than those CD36 positive individuals without mutations (homozygote). CONCLUSION Multiple gene mutations in the CD36 coding region may cause CD36 deficiency, and the heterozygous individuals with mutations may lead to CD36 antigen reduction or deletion. Mutation is not detected in 44.83% of CD36 deficient individuals, there may be some other reasons for the CD36 antigen deficiency.
Blood Donors ; Blood Platelet Disorders/metabolism* ; Blood Platelets/metabolism* ; CD36 Antigens/metabolism* ; Female ; Genetic Diseases, Inborn ; Humans ; Male

OBJECTIVE: To study two novel CD36 gene mutations at the CD36 splicing sites found in Guangxi population, as well as the molecular basis and population incidence of them. METHODS: DNA sequencing and cDNA clonal sequencing were used to detect CD36 exon sequence and the protein coding region sequence of CD36 mRNA for 2 CD36 deficient individuals (HHC and WGM) found in Guangxi population. Eukaryotic expression cell lines were established for the discovery of CD36 mRNA abnormal transcripts and Western blot assay was used to verify the effect of abnormal CD36 mRNA transcripts on CD36 expression. A DNA PCR-SSP genotyping method was established for the two CD36 novel mutations, and the population distribution was investigated among 110 CD36 deficient individuals in Guangxi region and 296 random individuals in Guangxi population. RESULTS: Novel mutation of c.430 -1G>C was found at the CD36 splicing site in HHC and WGM individuals, and novel mutation of c.1006 +2T>G at the CD36 splicing site was also found in the WGM individual. CD36 cDNA clonal sequencing showed that CD36 c.430 -1G>C could lead to the production of the two CD36 mRNA transcript variants: c.429_430ins［430-17_430-2;C］(p.Ala144fsTer1) and c.430_609del(p.Ala144_Pro203del)(GenBank:HM 217023.1); and CD36 c.1006 +2T>G could lead to the production of CD36 mRNA transcript variant of c.819_1006 del (p.Ser274GlufsTer16) (GenBank: HM217025.1). It was verified that all the three transcript variants could lead to CD36 deficiency by establishment of eukaryotic expression cell lines and Western blot assay. A study of the population incidence of two novel CD36 splicing site mutations found showed that in 110 CD36 deficient individuals and in 296 random individuals in Guangxi region, the mutation rate of CD36 c.430 -1G>C was 10.91% (12/110) and 1.35% (4/296), respectively, while CD36 c.1006 +2T>G was 2.73% (3/110) and 0 (0/296), respectively. CONCLUSION This study identifies two novel CD36 mutations at CD36 splicing site, and preliminary clarified their molecular basis for the CD36 deficiency and the distribution characteristics in Guangxi population as well. It provides an experimental and theoretical basis for studying the molecular mechanism and characteristics of CD36 deficiency in Chinese population.
Blood Platelet Disorders ; China ; Genetic Diseases, Inborn ; Humans ; Mutation ; RNA Splicing

Blood Coagulation Disorders ; physiopathology ; Blood Pressure ; physiology ; Hemodynamics ; physiology ; Humans ; Orthostatic Intolerance ; physiopathology ; Platelet Count ; Posture ; physiology

Coagulopathy may be defined as the loss of balance between hemostatic and fibrinolytic processes resulting in excessive bleeding, intravascular thrombosis or abnormalities in coagulation testing. It is frequently encountered across a wide range of conditions seen in the neurocritical care unit and can contribute to poor outcomes. Early recognition and appropriate management are key, with traumatic brain injury, acute ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage presenting unique challenges to the neurointensivist. We will discuss techniques to assess coagulopathies as well as treatment strategies for the brain injured patient.
Anticoagulants ; Blood Coagulation Disorders ; Brain ; Brain Injuries ; Cerebral Hemorrhage ; Hemorrhage ; Humans ; Platelet Aggregation Inhibitors ; Stroke ; Subarachnoid Hemorrhage ; Thrombosis

OBJECTIVETo analyse the cases of platelet transfusion refractoriness after received HLA-matched unrelated donor hematopoietic stem cell transplantation, to analyze and identify the phenotype and genotype of CD36 in both the patient and stem cell donor, as well as the characteristic of antibody induced platelet transfusion refractoriness, and to analyse the efficacy of matched CD36-deficiency platelets transfusions.

METHODSThe CD36 expression on platelet and monocyte was analyzed by flow cytometry (FCM) in both patient and donor. Polymerase chain reaction sequence-based typing (PCR-SBT) was used to analyze the exons sequence of CD36 and HPA. Fast monoclonal antibody-specific immobilization of platelet antigen (F-MAIPA) and FCM were used to identify platelet antibodies in the patient. Short tandem repeat polymerase chain reaction (STR-PCR) was applied to monitor engraftment evidence. The platelet level was monitored. CD36- deficiency donor's platelets were selected from CD36- deficiency donor blood bank.

RESULTSThe donor was CD36 positive and the patient was typed I CD36 deficiency. The anti-CD36 antibody was identified in patient's serum (after transplantation), while the HLA and HPA-related antibodies were excluded. Sequence analysis of CD36 exon in the patient showed Exon 6 -1G>C(Change in splicing site) homozygote, which was a novel CD36 mutation. STR, HPA and CD36 of the patient (complete chimerism) were conversed to that of donor gene types on day 18 after allo-HSCT. The positive CD36 expression on platelet and monocyte in the patient was observed on day 96 after allo-HSCT. The patient showed the platelet transfusion refractoriness which was significantly improved after platelets transfusions from CD36 deficiency donors.

CONCLUSIONStem cell transplants resulted in anti-CD36 and caused platelet transfusion refractoriness, that was first reported in China. To ensure the efficacy of platelet transfusion, the CD36-deficiency patient should receive CD36 deficiency platelets for transfusion.

OBJECTIVES: We conducted this study to evaluate the diagnostic value of hematologic markers for moderate to severe obstructive sleep apnea syndrome (OSAS). METHODS: We performed the study using medical records from our sleep disorders center. We collected information regarding obstructive apnea-hypopnea index (oAHI), age, sex, body mass index, and complete blood counts with differential counts [white blood cell (WBC) count, neutrophil count, lymphocyte count, red blood cell distribution width (RDW), mean platelet volume, platelet count, platelet distribution width (PDW), neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio]. We excluded patients who were younger than 2 years, older than 14 years, obese/underweight, and those who had a hematologic or severe medical illness. RESULTS: We assessed records from 57 patients (7.98±3.25 years old, 35 men). We classified the subjects into three groups based on their oAHI scores, as follows: normal (oAHI < 1), mild OSAS (1≤oAHI < 5), and moderate/severe OSAS (oAHI≥5). Using a multivariate multinomial logistic regression model (pseudo R²=0.33), we found significant differences among the groups in RDW [moderate/severe OSAS vs. mild OSAS, adjusted odds ratio (OR): 8.77, p-value: 0.03], PDW (mild OSAS vs. normal, adjusted OR: 1.05, p-value: 0.04), and WBC (moderate/severe OSAS vs. normal, adjusted OR: 1.42, p-value: 0.03). CONCLUSIONS: RDW, PDW, and WBC had diagnostic value for moderate/severe OSAS in our study. Further prospective and validation studies are required to develop a screening tool for moderate/severe OSAS in children and adolescents.
Adolescent ; Blood Cell Count ; Blood Cells ; Blood Platelets ; Body Mass Index ; Child ; Erythrocyte Indices ; Erythrocytes ; Humans ; Logistic Models ; Lymphocyte Count ; Mass Screening ; Mean Platelet Volume ; Medical Records ; Neutrophils ; Odds Ratio ; Platelet Count ; Prospective Studies ; Sleep Apnea Syndromes ; Sleep Apnea, Obstructive ; Sleep Wake Disorders