OBJECTIVETo design ABC damage variable and positioning system for acetabular fracture and explore the feasibility and clinical practical value of the system through the multi-center analysis of 1122 acetabular fractures.

METHODSAccording to acetabular three-column conception, and pelvic ring lesions damage direction caused by acetabular fracture domino effect and injury degree of proximal femur joint, it defined class A as any column acetabular fracture; class B as any two-column acetabular fracture; class C as front, dome and posterior mixture acetabular fracture. Lower case English letters a, m, p represented front, dome, posterior fracture, respectively. Acetabular damage variables: 1 was simple displaced fractures; 2 was comminuted fractures; 3 was compression fractures. Pelvic ring lesions damage variables: alpha was sacroiliac joints or sacroiliac fracture horizontal separation deflection; beta was sacroiliac joints or sacroiliac fracture vertical separation deflection; gamma was pubic symphysis separation/superior and inferior ramus of pubis fracture deflection; alpha beta gamma delta was compound floating damage. Proximal humerus joint damage variables: I was femoral head fracture; II was femoral neck fracture; II was intertrochanteric fractures of femur; IV was I to III compound fracture. The ABC damage variable positioning system for acetabular fracture was made up by the above-mentioned variables. The statistics from March 1997 to February 2010 showed 1122 cases acetabular fractures with 18 cases of double side acetabular fracture and 1140 cases of acetabular fractures. The pelvics anterior-posterior view, ilium and obturator oblique view, and 2/3D-CT materials were analyzed and researched.

RESULTSEach damage variables distribution situation in 1140 cases of acetabular fracture involved A in 237 cases (20.8%), B in 605 cases (53.1%), C in 298 cases (26.1%);front column fracture in 808 cases(70.9%), dome fracture in 507 cases (44.5%), posterior fracture in 1026 cases (90%). Acetabular variables: variabe 1 in 203 cases of simple displaced fracture (17.8%); variabe 2 in 516 cases of comminuted fracture(45.3%); variabe 3 in 421 cases of compression fracture (36.9%); 249 cases of pelvic ring lesions damage (21.8%), 75 cases femoral head fracture (6.6%); 18 cases of double side acetabular fracture and relative pelvic ring and proximal humerus joint variables (1.58%). Key part and curative effect elements of 1140 cases acetabular fracture: 507 cases of dome or posterior acetabular fracture (44.5%); 421 cases of compression fracture (36.9%); 249 cases of pelvic ring variables (21.8%); 75 cases of proximal humerus joint variables (6.6%); 486 cases of simple Aa/pl/2,Bapl/2 acetabular fracture (42.6% ).

CONCLUSIONCompression fracture, especially defected compression fracture, takes important part in acetabular damage variables, and also presents that acetabular fracture with pelvic ring and proximal femoral damage variables are not rare at all. The relationship of the acetabular fracture damage variables, and its percentage shows the key points and elements in clinical treatment: weight-bearing to dome accounts for 44.5%; compression to defects account for 36.9%, pelvic ring to float accounts for 21.8%; dome fracture to double side fracture account for 6.6%. The system has significant guiding effects on clinic in terms of evaluation of injury severity, anatomic localization, difficulty index, alternative strategy, operative approach, effect of treatment,and prognosis. And the most important thing is that the system creates the comparison of damage variables in same type of fracture and the communication of homo-language and explores a new method.

Acetabulum ; injuries ; Adolescent ; Adult ; Aged ; Child ; Female ; Fractures, Bone ; classification ; diagnostic imaging ; Humans ; Male ; Medical Informatics ; methods ; Middle Aged ; Tomography, X-Ray Computed ; Young Adult

Calreticulin/genetics* ; DNA Methylation ; Female ; Humans ; Janus Kinase 2/genetics* ; Mutation ; Myeloproliferative Disorders/genetics* ; Polycythemia Vera/genetics*

OBJECTIVE: To analysis the specific protein markers of essential thrombocythemia (ET) based on proteomics technology, to explore and verify the differential protein related to platelet activation. METHODS: Blood samples were obtained from ET patients and healthy people and a certain protein mass spectrometry was detected using label-free quantitative technology. The proteins relative abundance increased or down-regulated by 1.3 times in the disease group compared with the control group, and the protein abundance in the two groups t test P＜0.05 were defined as differential proteins. Bioinformatics analysis of the differential proteins was performed using GO and KEGG. The difference in the average protein abundance between the two groups was analyzed by t test and P＜0.05 was considered statistically significant. Differential proteins were selected for verification by parallel reaction monitoring (PRM) technology. RESULTS: A total of 140 differential proteins were found, of which 72 were up-regulated and 68 were down-regulated. KEGG enrichment showed that the differential protein expression was related to the platelet activation pathway. The differential proteins related to platelet activation were GPV, COL1A2, GP1bα, COL1A1 and GPVI. Among them, the expressions of GPV, GP1bα and GPVI were up-regulated, and the expressions of COL1A2 and COL1A1 were down-regulated. PRM verification of COL1A1, GP1bα, GPVI and GPV was consistent with LFP proteomics testing. CONCLUSION Differential proteins in ET patients are related to platelet activation pathway activation.Differential proteins such as GPV, GPVI, COL1A1 and GP1bα can be used as new targets related to ET platelet activation.
Blood Platelets/metabolism* ; Humans ; Platelet Activation ; Platelet Membrane Glycoproteins/metabolism* ; Technology ; Thrombocythemia, Essential

OBJECTIVE: To understand the biological characteristics of polycythemia vera (PV) patients with myeloid fibroplasia, and further analyze the risk factors affecting myeloid fibroplasia in PV patients, so as to provide ideas for predicting the occurrence of myeloid fibroplasia in PV patients. METHODS: Forty patients with PV in the Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences were collected and divided into two groups, with (hyperplasia group) and without (Non-proliferative group) hyperplasia of bone marrow fibers. The differences of basic clinical characteristics, blood routine, biochemistry, bone marrow cells, coagulation function and other indicators between the two groups were compared, and the independent risk factors affecting the proliferation of bone marrow fibrous tissue in PV patients were further analyzed by multivariate regression. RESULTS: Compared with Non-proliferative group, the JAK2 mutation rate (95% vs 70%，P=0.037), eosinophilic cell count (0.19 vs 0.11, P=0.047) and eosinophilic percentage (1.84 vs 1.27, P=0.001) in PV patients with hyperplasia were significantly increased, triglycerides (1.55 vs 1.91, P=0.038) and low-density lipoprotein (1.50 vs 3.08, P=0.000) were significantly reduced, bone marrow hematopoietic volume (0.85 vs 0.6, P=0.001), granulocyte/erythrocyte ratio (3.40 vs 1.89, P=0.033), lymphocyte/erythrocyte ratio (0.60 vs 0.42, P=0.033), and granulocyte+lymphocyte/erythrocyte ratio (3.72 vs 2.37, P=0.026) were significantly increased, thrombin time (18.84 vs 18.12, P=0.043) was significantly prolonged. Multivariate regression analysis results showed that peripheral blood eosinophil ≥2% and low-density lipoprotein ≤2 mmol/L were independent risk factors for bone marrow fibrous tissue hyperplasia in PV patients (P<0.05). CONCLUSION Increased proportion of peripheral blood eosinophils and decreased low density lipoprotein are risk factors for bone marrow fibrous tissue hyperplasia in PV patients.
Humans ; Bone Marrow/pathology* ; Polycythemia Vera ; Hyperplasia/pathology* ; Granulocytes/pathology* ; Janus Kinase 2/genetics* ; Risk Factors ; Lipoproteins, LDL ; Polycythemia/pathology*