Objective: To understand the characteristics of HIV infected persons without long term disease progress [also known as long term non-progressors (LTNPs)], and related factors in Guangxi Zhuang Autonomous Region (Guangxi). Methods: Data of persons living with HIV and receiving no antiretroviral therapy in Guangxi by the end of 2016 were collected from the national HIV/AIDS comprehensive control and prevention information system of China. Results: By the end of 2016, there were 313 LTNPs in Guangxi, accounting for 2.3% of those being reported for more than 10 years, 5.4% of those being reported for more than 10 years and surviving, and 26.6% of those being reported for more than 10 years, surviving and receiving no antiretroviral therapy. Among the LTNPs, 87.2%(273) were men, 94.9% (297) were aged ≤ 40 years, 32.3% (101) were farmers, 55.6% (174) were single, divorced or widowed, 69.3% (217) were of Han ethnic group, 68.1% (213) were injecting drug users, and 52.1% (163) were from custody facilities. Multiple logistic regression analysis indicated that factors associated with delayed disease progression included age ≤40 years (compared with age >40 years, aOR=1.55, 95%CI: 1.31-3.12) and injection drug use (compared with sexual transmission, aOR=1.23, 95%CI: 1.10-1.74). Conclusions: A number of LTNPs existed in HIV-infected individuals in Guangxi. Further research are needed to identify the related factors, and it is necessary to conduct large sample size studies on host immunology, genetics and the virology of HIV to explore the related mechanism.
Adolescent ; Adult ; Age Distribution ; China/epidemiology* ; Drug Users/statistics & numerical data* ; Ethnicity/statistics & numerical data* ; HIV Infections/ethnology* ; Humans ; Male ; Socioeconomic Factors

Objective: To understand the dynamic variation of BMI and influencing factors among HIV/AIDS patients receiving highly active anti-retroviral therapy (HAART) in Liuzhou, Guangxi Zhuang Autonomous Region (Guangxi). Methods: HIV/AIDS patients receiving HAART for the first time since 1 January 2013 were selected. Data on BMI was analyzed among patients receiving HAART at baseline,6 months and 12 months after treatment. By using the general linear model repeated measures of analysis of variance, BMI dynamic variations and influencing factors were described and analyzed. Results: The average BMI of 2 871 patients at baseline, 6th months and 12th months appeared as (20.65±3.32), (20.87±3.22) and (21.18±3.20), respectively, with differences all statistically significant (F=18.86, P<0.001). BMI were increasing over time with treatments (F=37.25, P<0.001). Main influencing factors were noticed as: age, sex, marital status, baseline data of CD(4)(+)T cells and the WHO classification on clinical stages. Conclusions: Higher proportion of BMI malnutrition counts was seen among patients before receiving HAART in Liuzhou. BMI of the patients that were on HAART seemed being influenced by many factors. It is necessary to select appropriate treatment protocols on different patients so as to improve the nutritional status of the patients.
Acquired Immunodeficiency Syndrome ; Antiretroviral Therapy, Highly Active ; Body Mass Index ; CD4 Lymphocyte Count ; China/epidemiology* ; HIV Infections/drug therapy* ; Humans ; Linear Models ; Marital Status ; Nutritional Status ; T-Lymphocytes

Objective: To understand the situation related to health seeking and diagnosis of imported malaria and to provide practical measures for malaria elimination in Jiangsu province. Methods: Data on imported malaria cases in Jiangsu province was retrieved in CISDCP from 2014 to 2016. Relevant information on health seeking behavior, diagnosis and treatment of the disease was gathered. Results: A total of 1 068 imported cases were reported in Jiangsu province from 2014 to 2016. Except for one malaria case that was caused by blood transfusion, the rest patients were all recognized as 'imported'. Majority of the cases were migrant laborers working in African countries. The accurate rates on the diagnosis of ovale, vivax and quartan malaria and mixed infection were relatively low, as 79.3% (107/135), 29.5% (18/61), 52.9% (18/34) and 0.0% (0/2) at the primary health care settings, respectively. Rate of seeking health care on the same day of onset was more in 2015 than in 2014 and 2016 (χ(2)=18.6, P=0.001). While only 65.4% (699/1 068) of the patients were diagnosed correctly at the primary health care settings. There appeared no statistical difference in the 3-year-study period (χ(2)=5.4, P=0.246). Capacity on 'correct diagnosis' seemed stronger at the CDC than at the hospital levels (χ(2)=13.2, P=0.000; χ(2)=5.4, P=0.020). Totally, 72.7% (32/44) of the severe falciparum malaria cases did not immediately seek for health care when the symptoms started. Conclusions: Migrant workers returning from the high endemic malaria areas seemed to have poor awareness in seeking health care services. Capability on correct diagnosis for malaria at the primary health care settings remained unsatisfactory and staff from these settings needs to receive adequate training.
Adult ; China/epidemiology* ; Female ; Human Migration ; Humans ; Malaria/transmission* ; Male ; Middle Aged ; Plasmodium/isolation & purification* ; Prevalence ; Seasons ; Transients and Migrants ; Travel

Objective: To explore the long-term effect of combined surgery for the treatment of congenital tibial pseudarthrosis in children. Methods: The clinical data of 44 children with congenital tibial pseudarthrosis who underwent combined surgery (tibial pseudarthrosis tissue resection, intramedullary rod fixation, Ilizarov external fixator fixation, wrapped autologous iliac bone graft) from August 2007 to October 2011 at the Department of Pediatric Orthopedics, Hunan Children's Hospital were collected retrospectively. There were 33 males and 11 females. The age at the time of surgery was (3.7±2.2)years (range:0.6 to 12.4 years), including 25 cases under 3 years old and 19 cases above 3 years old.Among them, 37 cases were complicated with neurofibromatosis type 1.The operation status, postoperative complications and follow-up results were recorded. Results: The follow-up time after surgery was (10.9±0.7)years (range:10 to 11 years).Thirty-nine out of 44 patients (88.6%) achieved initial healing of tibial pseudarthrosis, with an average healing time of (4.3±1.1)months (range:3 to 10months).In the last follow-up, 36 cases (81.8%) had unequal tibial length, 20 cases (45.4%) had refractures, 18 cases (40.9%) had ankle valgus, 9 cases (20.4%) had proximal tibial valgus, and 11 cases (25.0%) had high arched feet.Nine cases (20.4%) developed distal tibial epiphyseal plate bridging.17 cases (38.6%) had abnormal tibial mechanical axis.Seven cases (15.9%) developed needle infection, and one case (2.3%) developed tibial osteomyelitis. 21 patients (47.7%) had excessive growth of the affected femur.Five patients (11.3%) had ankle stiffness, and 34 patients (77.2%) had intramedullary rod displacement that was not in the center of the tibial medullary cavity.Among them, 8 cases (18.1%) protruded the tibial bone cortex and underwent intramedullary rod removal.18 children have reached skeletal maturity, while 26 children have not been followed up until skeletal maturity. Conclusion: Combined surgery for the treatment of congenital pseudarthrosis of the tibia in children has a high initial healing rate, but complications such as unequal tibia length, refracture, and ankle valgus occur during long-term follow-up, requiring multiple surgical treatments.
Male ; Female ; Humans ; Child ; Child, Preschool ; Pseudarthrosis/congenital* ; Follow-Up Studies ; Retrospective Studies ; Tibia/surgery* ; Neurofibromatosis 1 ; Tibial Fractures/surgery*

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.

Shanghai Diet and Health Survey (SDHS) was designed to prospectively access local residents' food consumption, energy and nutrient intake, related chemical contaminant exposure, and the seasonal change trend to explore the relationship of diet with health. Data from SDHS can be used as fundamental information and scientific evidences for the development of local nutrition and food safety policies.
China ; Diet ; Energy Intake ; Health Surveys ; Nutrition Policy ; Nutrition Surveys

Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China ; Genetic Structures ; Genome-Wide Association Study ; Humans ; Linear Models ; Principal Component Analysis