Background Heavy metals may play an important role in environmental risk factors associated disorders of activities of daily living (ADL) in older adults. Objective To investigate the associations between plasma levels of six heavy metals (zinc, arsenic, cadmium, lead, manganese, and copper) and ADL disorders in older adults. Methods A cross-sectional survey was conducted from 2018 to 2019 among 1412 rural elderly people in Gongcheng Yao Autonomous County, Guangxi Zhuang Autonomous Region. The plasma metal concentrations were detected by inductively coupled plasma mass spectrometry (ICP-MS), and subsequently classified into three groups (T1-T3) based on tertiles, with the T1 group as the reference. The samples were assessed for ADL disorders using the ADL scale. Logistic regression and restricted cubic spline model (RCS) were used to estimate the odds ratio (OR) and 95% confidence interval (CI) to assess the associations between heavy metals and the prevalence of reporting ADL disorders. Results The mean age of the study population was (68.52 ± 5.92) years, 825 (58.4%) female and 587 (41.6%) male. Of these, 372 (26.34%) subjects reported ADL disorders, and most of them were female (74.30%). The results of logistic regression showed that the participants in the cadmium T2 group (0.15-0.25 µg·L⁻¹) had a higher risk of ADL disorders compared to the T1 group (≤0.15 μg·L⁻¹) (OR=1.552, 95%CI: 1.086, 2.134). After stratification by sex, the relative risk of ADL disorders was lower in the plasma copper T3 group (>1019.58 µg·L⁻¹) compared to the T1 group (≤868.12 μg·L⁻¹) in men (OR=0.481, 95%CI: 0.232, 0.998). The relative risk of ADL disorders was higher in the plasma cadmium T2 group (0.15-0.25 µg·L⁻¹) compared to the T1 group (≤0.15 μg·L⁻¹) in women (OR=1.758, 95%CI: 1.182, 2.616). The RCS results showed that the risk of ADL disorders in men was nonlinearly associated with copper (P_nonlinear=0.011, P_overall<0.05). Conclusion High levels of cadmium are positively associated with the risk of reporting ADL disorders, while high levels of copper are negatively associated with the risk of reporting ADL disorders in men.

ObjectiveTo determine the influence of COVID-19 prevention and control on the epidemic characteristics and dynamics of notifiable infectious diseases in the first quarters， Zhejiang Province， and to explore more effective countermeasures against infectious diseases. MethodsDescriptive epidemiology was conducted to determine the change in notifiable infectious diseases during the prevention and control of COVID-19 in Zhejiang Province by retrieving the data of notifiable infectious diseases from 2017 to 2022 in the Chinese information system for disease control and prevention. Cumulative reported new cases of notifiable infectious diseases in the first quarters of 2017‒2019 were compared with that of 2020‒2022. ResultsA total of 546 753 cases of notifiable infectious diseases were newly reported in the first quarters of 2017‒2019， with an average incidence of 321.92/10⁵. In contrast， a total of 509 908 cases of notifiable infectious diseases were newly reported in the first quarters of 2020‒2022， during which the COVID-19 epidemic occurred， with an average incidence of 270.39/10⁵. The incidence in 2020‒2022 significantly declined by 51.53/10⁵， compared with that in 2017‒2019 （χ²=8 072.06， P<0.001）. In the first quarters of 2020‒2022， the average incidence of zoonotic diseases and vector-borne diseases decreased by more than 50%. In addition， the incidence of respiratory， enteric， blood-borne， and sexually transmitted diseases declined to certain degree. ConclusionThe decline in the newly reported cases of non-COVID-19 notifiable infectious diseases in the first quarters of 2020‒2022 indicates that the countermeasures against COVID-19 epidemic， such as multi-disease co-prevention， multi-sectoral collaboration， societal mobilization and personal hygiene and protection， may also decrease the incidence of multiple infectious diseases. It suggests the countermeasures are effective， which would provide evidence for routine prevention and control of infectious diseases in future.

Objective:To investigate the epidemiological characteristics, diagnosis, treat-ment and prognosis of gallbladder cancer in China from 2010 to 2017.Methods:The single disease retrospective registration cohort study was conducted. Based on the concept of the real world study, the clinicopathological data, from multicenter retrospective clinical data database of gallbladder cancer of Chinese Research Group of Gallbladder Cancer (CRGGC), of 6 159 patients with gallbladder cancer who were admitted to 42 hospitals from January 2010 to December 2017 were collected. Observation indicators: (1) case resources; (2) age and sex distribution; (3) diagnosis; (4) surgical treatment and prognosis; (5) multimodality therapy and prognosis. The follow-up data of the 42 hospitals were collected and analyzed by the CRGGC. The main outcome indicator was the overall survival time from date of operation for surgical patients or date of diagnosis for non-surgical patients to the end of outcome event or the last follow-up. Measurement data with normal distribu-tion were represented as Mean±SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(range), and com-parison between groups was conducted using the U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Univariate analysis was performed using the Logistic forced regression model, and variables with P<0.1 in the univariate analysis were included for multivariate analysis. Multivariate analysis was performed using the Logistic stepwise regression model. The life table method was used to calculate survival rates and the Kaplan-Meier method was used to draw survival curves. Log-rank test was used for survival analysis. Results:(1) Case resources: of the 42 hospitals, there were 35 class A of tertiary hospitals and 7 class B of tertiary hospitals, 16 hospitals with high admission of gallbladder cancer and 26 hospitals with low admission of gallbladder cancer, respectively. Geographical distribution of the 42 hospitals: there were 9 hospitals in central China, 5 hospitals in northeast China, 22 hospitals in eastern China and 6 hospitals in western China. Geographical distribution of the 6 159 patients: there were 2 154 cases(34.973%) from central China, 705 cases(11.447%) from northeast China, 1 969 cases(31.969%) from eastern China and 1 331 cases(21.611%) from western China. The total average number of cases undergoing diagnosis and treatment in hospitals of the 6 159 patients was 18.3±4.5 per year, in which the average number of cases undergoing diagnosis and treatment in hospitals of 4 974 patients(80.760%) from hospitals with high admission of gallbladder cancer was 38.8±8.9 per year and the average number of cases undergoing diagnosis and treatment in hospitals of 1 185 patients(19.240%) from hospitals with low admission of gallbladder cancer was 5.7±1.9 per year. (2) Age and sex distribution: the age of 6 159 patients diagnosed as gallbladder cancer was 64(56,71) years, in which the age of 2 247 male patients(36.483%) diagnosed as gallbladder cancer was 64(58,71)years and the age of 3 912 female patients(63.517%) diagnosed as gallbladder cancer was 63(55,71)years. The sex ratio of female to male was 1.74:1. Of 6 159 patients, 3 886 cases(63.095%) were diagnosed as gallbladder cancer at 56 to 75 years old. There was a significant difference on age at diagnosis between male and female patients ( Z=-3.99, P<0.001). (3) Diagnosis: of 6 159 patients, 2 503 cases(40.640%) were initially diagnosed as gallbladder cancer and 3 656 cases(59.360%) were initially diagnosed as non-gallbladder cancer. There were 2 110 patients(34.259%) not undergoing surgical treatment, of which 200 cases(9.479%) were initially diagnosed as gallbladder cancer and 1 910 cases(90.521%) were initially diagnosed as non-gallbladder cancer. There were 4 049 patients(65.741%) undergoing surgical treatment, of which 2 303 cases(56.878%) were initially diagnosed as gallbladder cancer and 1 746 cases(43.122%) were initial diagnosed as non-gallbladder cancer. Of the 1 746 patients who were initially diagnosed as non-gallbladder cancer, there were 774 cases(19.116%) diagnosed as gallbladder cancer during operation and 972 cases(24.006%) diagnosed as gallbladder cancer after operation. Of 6 159 patients, there were 2 521 cases(40.932%), 2 335 cases(37.912%) and 1 114 cases(18.087%) undergoing ultrasound, computed tomography (CT) or magnetic resonance imaging (MRI) examination before initial diagnosis, respec-tively, and there were 3 259 cases(52.914%), 3 172 cases(51.502%) and 4 016 cases(65.205%) undergoing serum carcinoembryonic antigen, CA19-9 or CA125 examination before initially diagnosis, respectively. One patient may underwent multiple examinations. Results of univariate analysis showed that geographical distribution of hospitals (eastern China or western China), age ≥72 years, gallbladder cancer annual admission of hospitals, whether undergoing ultrasound, CT, MRI, serum carcinoembryonic antigen, CA19-9 or CA125 examination before initially diagnosis were related factors influencing initial diagnosis of gallbladder cancer patients ( odds ratio=1.45, 1.98, 0.69, 0.68, 2.43, 0.41, 1.63, 0.41, 0.39, 0.42, 95% confidence interval as 1.21-1.74, 1.64-2.40, 0.59-0.80, 0.60-0.78, 2.19-2.70, 0.37-0.45, 1.43-1.86, 0.37-0.45, 0.35-0.43, 0.38-0.47, P<0.05). Results of multivariate analysis showed that geographical distribution of hospitals (eastern China or western China), sex, age ≥72 years, gallbladder cancer annual admission of hospitals and cases undergoing ultrasound, CT, serum CA19-9 examination before initially diagnosis were indepen-dent influencing factors influencing initial diagnosis of gallbladder cancer patients ( odds ratio=1.36, 1.42, 0.89, 0.67, 1.85, 1.56, 1.57, 0.39, 95% confidence interval as 1.13-1.64, 1.16-1.73, 0.79-0.99, 0.57-0.78, 1.60-2.14, 1.38-1.77, 1.38-1.79, 0.35-0.43, P<0.05). (4) Surgical treatment and prognosis. Of the 4 049 patients undergoing surgical treatment, there were 2 447 cases(60.435%) with complete pathological staging data and follow-up data. Cases with pathological staging as stage 0, stage Ⅰ, stage Ⅱ, stage Ⅲa, stage Ⅲb, stage Ⅳa and stage Ⅳb were 85(3.474%), 201(8.214%), 71(2.902%), 890(36.371%), 382(15.611%), 33(1.348%) and 785(32.080%), respectively. The median follow-up time and median postoperative overall survival time of the 2 447 cases were 55.75 months (95% confidence interval as 52.78-58.35) and 23.46 months (95% confidence interval as 21.23-25.71), respectively. There was a significant difference in the overall survival between cases with pathological staging as stage 0, stage Ⅰ, stage Ⅱ, stage Ⅲa, stage Ⅲb, stage Ⅳa and stage Ⅳb ( χ2=512.47, P<0.001). Of the 4 049 patients undergoing surgical treatment, there were 2 988 cases(73.796%) with resectable tumor, 177 cases(4.371%) with unresectable tumor and 884 cases(21.833%) with tumor unassessable for resectabi-lity. Of the 2 988 cases with resectable tumor, there were 2 036 cases(68.139%) undergoing radical resection, 504 cases(16.867%) undergoing non-radical resection and 448 cases(14.994%) with operation unassessable for curative effect. Of the 2 447 cases with complete pathological staging data and follow-up data who underwent surgical treatment, there were 53 cases(2.166%) with unresectable tumor, 300 cases(12.260%) with resectable tumor and receiving non-radical resection, 1 441 cases(58.888%) with resectable tumor and receiving radical resection, 653 cases(26.686%) with resectable tumor and receiving operation unassessable for curative effect. There were 733 cases not undergoing surgical treatment with complete pathological staging data and follow-up data. There was a significant difference in the overall survival between cases not undergoing surgical treatment, cases undergoing surgical treatment for unresectable tumor, cases undergoing non-radical resection for resectable tumor and cases undergoing radical resection for resectable tumor ( χ2=121.04, P<0.001). (5) Multimodality therapy and prognosis: of 6 159 patients, there were 541 cases(8.784%) under-going postoperative adjuvant chemotherapy and advanced chemotherapy, 76 cases(1.234%) under-going radiotherapy. There were 1 170 advanced gallbladder cancer (pathological staging ≥stage Ⅲa) patients undergoing radical resection, including 126 cases(10.769%) with post-operative adjuvant chemotherapy and 1 044 cases(89.231%) without postoperative adjuvant chemo-therapy. There was no significant difference in the overall survival between cases with post-operative adjuvant chemotherapy and cases without postoperative adjuvant chemotherapy ( χ2=0.23, P=0.629). There were 658 patients with pathological staging as stage Ⅲa who underwent radical resection, including 66 cases(10.030%) with postoperative adjuvant chemotherapy and 592 cases(89.970%) without postoperative adjuvant chemotherapy. There was no significant difference in the overall survival between cases with postoperative adjuvant chemotherapy and cases without postoperative adjuvant chemotherapy ( χ2=0.05, P=0.817). There were 512 patients with pathological staging ≥stage Ⅲb who underwent radical resection, including 60 cases(11.719%) with postoperative adjuvant chemotherapy and 452 cases(88.281%) without postoperative adjuvant chemotherapy. There was no significant difference in the overall survival between cases with postoperative adjuvant chemo-therapy and cases without post-operative adjuvant chemo-therapy ( χ2=1.50, P=0.220). Conclusions:There are more women than men with gallbladder cancer in China and more than half of patients are diagnosed at the age of 56 to 75 years. Cases undergoing ultrasound, CT, serum CA19-9 examination before initial diagnosis are independent influencing factors influencing initial diagnosis of gallbladder cancer patients. Preoperative resectability evaluation can improve the therapy strategy and patient prognosis. Adjuvant chemotherapy for gallbladder cancer is not standardized and in low proportion in China.

Objective:To construct the risk prediction model of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and verify its effectiveness based on deep learning and back propagation algorithm neural network (BP neural network).Methods:Based on the relevant data of 1 326 patients with chronic obstructive pulmonary disease (COPD) in the team's previous clinical study, the acute exacerbation, and its risk factors during the stable period and 6 months of follow-up were recorded and analyzed. Combined with previous clinical research data and expert questionnaire results, the independent risk factors of AECOPD after screening and optimization by multivariate Logistic regression including gender, body mass index (BMI) classification, number of acute exacerbation, duration of acute exacerbation and forced expiratory volume in one second (FEV1) were used to build the BP neural network by Python 3.6 programming language and Tensorflow 1.12 deep learning framework. The patients were randomly selected according to the ratio of 4∶1 to generate the training group and the test group, of which, the training group had 1 061 sample data while the test group had 265 pieces of sample data. The training group was used to establish the prediction model of neural network, and the test group was used for back-substitution test. When using the training group data to construct the neural network model, the training group was randomly divided into training set and verification set according to the ratio of 4∶1. There were 849 training samples in the training set and 212 verification samples in the verification set. The optimal model was screened by adjusting the parameters of the neural network and combining the area under the receiver operator characteristic curve (AUC), and the sample data of the test group was substituted into the model for verification.Results:The independent risk factors including gender, BMI classification, number of acute exacerbation, duration of acute exacerbation and FEV1 were collected from the team's previous clinical research, and the AECOPD risk prediction model was constructed based on deep learning and BP neural network. After 10 000 training sessions, the accuracy of the AECOPD risk prediction model in the validation set of the training group was 83.09%. When the number of training times reached 8 000, the accuracy basically tended to be stable and the prediction ability reached the upper limit. The AECOPD risk prediction model trained for 10 000 times was used to predict the risk of the validation set data, and the receiver operator characteristic curve (ROC curve) analysis showed that the AUC was 0.803. When using this model to predict the risk of the data of the test group, the accuracy rate was 81.69%.Conclusion:The risk prediction model based on deep learning and BP neural network has a medium level of prediction efficiency for acute exacerbation within 6 months in COPD patients, which can evaluate the risk of AECOPD and assist the clinic in making accurate treatment decisions.

Objective:To establish a risk prediction model for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) using regression analysis and verify the model.Methods:The risk factors and acute exacerbation of 1 326 patients with chronic obstructive pulmonary disease (COPD) who entered the stable phase and followed up for 6 months in the four completed multi-center large-sample randomized controlled trials were retrospectively analyzed. Using the conversion-random number generator, about 80% of the 1 326 cases were randomly selected as the model group ( n = 1 074), and about 20% were the verification group ( n = 252). The data from the model group were selected, and Logistic regression analysis was used to screen independent risk factors for AECOPD, and an AECOPD risk prediction model was established; the model group and validation group data were substituted into the model, respectively, and the receiver operating characteristic (ROC) curve was drawn to verify the effectiveness of the risk prediction model in predicting AECOPD. Results:There were no statistically significant differences in general information (gender, smoking status, comorbidities, education level, etc.), body mass index (BMI) classification, lung function [forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), etc.], disease status (the number and duration of acute exacerbation in the past year, duration of disease, etc.), quality of life scale [COPD assessment test (CAT), etc.] and clinical symptoms (cough, chest tightness, etc.) between the model group and the validation group. It showed that the two sets of data had good homogeneity, and the cases in the validation group could be used to verify the effectiveness of the risk prediction model established through the model group data to predict AECOPD. Logistic regression analysis showed that gender [odds ratio ( OR) = 1.679, 95% confidence interval (95% CI) was 1.221-2.308, P = 0.001], BMI classification ( OR = 0.576, 95% CI was 0.331-1.000, P = 0.050), FEV1 ( OR = 0.551, 95% CI was 0.352-0.863, P = 0.009), number of acute exacerbation ( OR = 1.344, 95% CI was 1.245-1.451, P = 0.000) and duration of acute exacerbation ( OR = 1.018, 95% CI was 1.002-1.034, P = 0.024) were independent risk factors for AECOPD. A risk prediction model for AECOPD was constructed based on the results of regression analysis: probability of acute exacerbation ( P) = 1/(1+ e- x), x = -3.274 + 0.518×gender-0.552×BMI classification + 0.296×number of acute exacerbation + 0.018×duration of acute exacerbation-0.596×FEV1. The ROC curve analysis verified that the area under ROC curve (AUC) of the model group was 0.740, the AUC of the verification group was 0.688; the maximum Youden index of the model was 0.371, the corresponding best cut-off value of prediction probability was 0.197, the sensitivity was 80.1%, and the specificity was 57.0%. Conclusion:The AECOPD risk prediction model based on the regression analysis method had a moderate predictive power for the acute exacerbation risk of COPD patients, and could assist clinical diagnosis and treatment decision in a certain degree.

Objective:To investigate the characteristics and differences of anxiety, depression and sleep disorder among human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients in Guangzhou, then optimize the antiretroviral therapy and provide effective mental intervention.Methods:All HIV/AIDS patients from the outpatient department of Guangzhou Eighth People's Hospital were enrolled in the present study from January 2016 to December 2016. They were evaluated by the hospital anxiety and depression scale and Pittsburgh Sleep Quality Index, to analyze the levels of depression, anxiety and sleep disorder.Results:The incidences of anxiety, depression and sleep disorder were 30.5%(61/200), 31.0%(62/200) and 22.5%(45/200) respectively. 36.1%(22/61) of patients with anxiety and 35.5%(22/62) of patients with depression were accompanied by sleep disorder. The sleep disturbance index were significant higher in HIV/AIDS patients with anxiety ( t=4.065, P<0.001) or depression ( t=3.034, P=0.003) than those without anxiety or depression. Anxiety was mainly found in HIV/AIDS patients in aged 20 to 40 group ( F=7.998, P=0.018), while depression was mostly found in HIV/AIDS patients who didn't receive higher education ( F=13.55, P=0.001), and sleep disorder was more common in people with CD4 + count <200 cells/μl ( t=2.01, P=0.046). Conclusions:Anxiety and depression, which could aggravate sleep disorder, are very common in HIV/AIDS patients. Psychological care need to be strengthened to HIV positive patients in early phase, and screening questionnaires should be conducted before antiretroviral treatment began.

Objective: To investigate the clinical, immunological and virological characteristics of HIV-1 infected patients in the acute phase, for the sake of improving the diagnosis of acute infection with HIV-1. Methods: We retrospectively analyzed the clinical manifestation and laboratory data of patients with acute HIV-1 infection who were admitted to the Center of Infectious Diseases, Guangzhou Eighth People’s Hospital from January 2012 to June 2017. Results: Forty-four patients were enrolled into the study, 86.4% of them were male. 59.1% patients were homosexually transmitted. Clinical symptoms and signs mostly consisted of fever (84.1%), lymphadenopathy (56.8%) and so on, while 15.9% patients had central nervous system symptoms. Most common opportunistic infection included lung infection (50.0%) and oropharyngeal candidiasis (22.7%). Leucopenia (10 patients, 22.7%), and decreased CD4⁺ T cell count (267.5 cells/μl), inverted CD4⁺ /CD8⁺ ratio (86.4%) was mostly seen. Compared to patients who had HIV RNA load less than 6 lg copies/ml, the group of patients who had HIV RNA load more than 6 lg copies/ml had lower levels of CD4⁺ T cells (t=-3.724, P=0.001). Conclusions Patients with acute HIV infection have many different kinds of clinical symptoms and can be accompanied by opportunistic infection, and with high viremia.

OBJECTIVETo provide prenatal diagnosis for two couples who respectively carried heterozygous CD41-42 (-TCTT) and CD43 (G>T) mutations of the beta hemoglobin gene.

METHODSThe mutations were simultaneously detected with reverse dot blot (two diagnostic kits), multi-color melting curve analysis and sequencing analysis.

RESULTSThe fetus of family 1 was shown to be heterozygous for CD43 (G>T) by the three methods, while the fetus of family 2 was shown to be double heterozygous for CD41-42 (-TCTT) and CD43 (G>T) by multi-color melting curve analysis and sequencing analysis. The two diagnostic kits yielded different results by reverse dot blot, one as double heterozygous for CD41-42 (-TCTT) and CD43 (G>T), and another as homozygous for CD41-42 (-TCTT).

CONCLUSIONFor prenatal diagnosis of couples carrying mutations of beta hemoglobin gene such as CD41-42 (-TCTT) and CD43 (G>T), other methods such as Sanger sequencing should be used in order to avoid misdiagnosis.

Diagnostic Errors ; Female ; Heterozygote ; Humans ; Male ; Mutation ; Pregnancy ; Prenatal Diagnosis ; Reagent Kits, Diagnostic ; beta-Globins ; genetics ; beta-Thalassemia ; diagnosis ; genetics

Objective Triple negative breast cancer(TNBC), a special breast cancer subtype, is lack of effective target therapy.The article aimed to investigate the role of lysophosphatidic acid (LPA) and Hippo Yes-associated protein (Hippo-YAP) signaling pathway in TNBC invasion and metastasis and the mechanisms.Methods The specific small interfering RNA (siRNA) of YAP was synthetized in vitro, and was transfected into MDA-MB-231 cells using liposome transfection.The experiment was divided into YAP-siRNA group, positive control group and blank control group.Each group is provided with 2 parallel holes.Evaluation was made on the effects of each group on Hippo-YAP, the mechanisms and regulation on upstream and downstream molecules of Hippo-YAP pathway.Results In experiment group, YAP content, the capacity of invasion and metastasis after transfection ([0.035±0.005], [2.200±1.000], [3.500±0.800]) significantly decreased compared with positive control group([0.343±0.012], [27.600±5.100], [22.300±5.000]) and blank control group([0.384±0.017], [26.500±4.800], [22.350±6.000]) (P<0.05).YAP expression levels at 60 min, 120 min, and 240 min in experiment group significantly decreased compared with positive control group and blank control group (P<0.05).YAP relative expression levels of 10, 20, 50 μmol/Lwere significantly lower than those of positive control group and blank control group (P<0.05).After respective interference of C3 transferase and Y27623, significant difference was found in the pYAP mRNA contents of experiment group([0.255±0.052], [0.326±0.017]), blank control group([0.048±0.032], [0.534±0.017]) and positive control group([0.052±0.021], [0.528±0.024])(P<0.05).The expression levels of YAP mNA and AREG mNA significantly increased in experiment group([0.176±0.032], [0.263±0.008]) compared with blank control group([0.043±0.013], [0.263±0.008]) and positive control group([0.049±0.025], [0.057±0.043])(P<0.05).Conclusion LPA induces breast cancer invasion and metastasis, which is YAP-dependent, time-dependent and concentration-dependent.LPA-Hippo-YAP singaling pathway may be one of the mechanisms promoting delayed metastasis of TNBC.

Objective To explore the effect of platelet-rich plasma (PRP) on flap graft survival.Methods Two random skin flaps were elevated on the back of the rabbits with spinal symmetry in fifteen healthy rabbits.We selected randomly one side as PRP side,another side as blank control side.And then the autologous PRP was daubed to the basement of the skin flap in PRP side,while the blank control side was treated with normal saline of the same volume.At 3 d,7 d,and 14 d after the surgical operation,the immunohistochemistry was conducted to detect the microvessel density by CD34,and the the flap graft survival rate was tested and the histological changes of the flaps were observed by HE staining.Results The survival rates of skin flap graft were that the PRP side in 3 d (74.4±4.7) ％,while the control side (65.8+6.8)％;the PRP side in 7 d (72.4±7.5)％,while the control side (58.5+7.0)％；the PRP side in 14 d (74.5±5.0)％,while the control side (65.0±5.4) ％.The inflammatory reaction became declining with the extension of time,while density of blood vessels was increasing.In 14 d inflammatory reaction was the lowest and blood vessels' density was the largest.In all the control sides inflammatory response was obvious than that of the PRP side.CD34 positive count in 3 d PRP side microvascular density (MD) was (13.9±2.0)/HP,controlled side (11.1±1.3)/HP;in 7 d PRP MD was (15.7±1.5)/HP,controlled side (12.1±1.2)/HP;in 14 d PRP MD was (19.6±1.2)/HP,controlled side (12.7±0.8)/HP.There were significant differences in the MD at 3 d,7 d,and 14 d (P＜0.05) between PRP side and control side.Conclusions Platelet-rich plasma is able to promote the survival of random rabbit flap.