OBJECTIVETo provide information on epidemiology of rotavirus infection in Beijing, China.

METHODSAn ongoing hospital-based surveillance was conducted among children < 5yr old with acute diarrhea according to WHO generic protocol (CID-98). During a 3-year study (Apr. 1998 to Mar. 2001), a total of 484 stool samples were collected from 1 457 patients, including 275 samples from 1 048 outpatients and 209 samples from 409 inpatients.

RESULTSThe overall detection rate of rotavirus infection was 25.4%. Rotavirus was responsible for 27.3% of diarrhea inpatients on a yearly base, and 46.2% during rotavirus season. Two peaks of diarrhea were observed each year, one in the summer (June-Sep.) due to bacterial dysentery (16.7%) and another in fall winter (Oct.-Dec.) due to rotavirus infection (23.0%). The detection rate on rotavirus was the highest in age group of 6 - 11 months (38.2%), followed by 1 - 2 years old (28.5%). Ninety six point eight percentage of children were infected under 3 years of age. The number of deaths, possibly caused by rotavirus diarrhea were accounted for 40% of all diarrhea deaths and 11.1% of the total deaths. Serotyping of 123 rotavirus isolates showed that serotype G1 (55.3%) was predominant, followed by G2 (26.8%), G3 (9.8%), G4 (0.8%), and 10 isolates (8.1%) remained non-typeable. Mixed infections (0.8%) seemed to be rare.

CONCLUSIONRotavirus diarrhea was an important infectious disease among children in Beijing. Safe and effective rotavirus vaccines for the prevention of severe diarrheas and the reduction of treatment costs are of significant importance to China.

Age Factors ; Child, Preschool ; China ; epidemiology ; Dysentery ; epidemiology ; etiology ; Female ; Hospitals ; statistics & numerical data ; Humans ; Infant ; Male ; Population Surveillance ; Rotavirus ; classification ; isolation & purification ; Rotavirus Infections ; complications ; epidemiology ; Serotyping

OBJECTIVETo establish baseline patterns of rotavirus diarrhea and to describe its epidemiologic features in Changchun city, prior to rotavirus vaccine immunization.

METHODSHospital-based surveillance was conducted among children under 5 years old with acute diarrhea in Changchun Children's Hospital. Fecal samples were determined to identify rotavirus by PAGE and/or ELISA. G serotypes of rotavirus were identified by ELISA and/or nested RT-PCR. P genotyping were carried out by RT-PCR. All data were computerized and analysed by "Generic Manual on Rotavirus Surveillance" set by CDC in the USA.

RESULTSIn total, 2 343 diarrhea cases were screened and 1 211 fecal samples were collected. Rotavirus was detected in 31.0% among outpatients and 52.9% in inpatients. During the peak of the season (November through March), 58.6% of diarrhea was caused by rotavirus among inpatients. 95.0% of rotavirus diarrhea cases occurred among children aged < 2 years. The predominant strain was serotype G1 (82.4%), followed by G2 (5.0%), G3 (3.3%), G4 (0.9%). P genotyping showed that P[8] and P[4] were the most common ones. Nine different P-G combinations were identified, four strains (P[8]G1, P[4]G2, P[8]G3, and P[8]G4) commonly seen worldwide accounted for 75.6% of the total. Taken together with uncommon strains, including the novel types P[4]G4 and P[8]G2, it highlights the extraordinary diversity of rotaviruses circulating in China.

CONCLUSIONRotavirus is the major cause of severe child diarrhea in Changchun. Developing a rotavirus vaccine for prevention of severe disease and reduction of treatment costs seemed to be necessary.

Child, Preschool ; China ; epidemiology ; Diarrhea ; etiology ; Electrophoresis, Polyacrylamide Gel ; Enzyme-Linked Immunosorbent Assay ; Feces ; virology ; Female ; Genotype ; Hospitals, Pediatric ; statistics & numerical data ; Humans ; Infant ; Male ; Reverse Transcriptase Polymerase Chain Reaction ; Rotavirus ; classification ; genetics ; isolation & purification ; Rotavirus Infections ; complications ; epidemiology ; virology ; Sentinel Surveillance ; Serotyping

OBJECTIVETo study the epidemiological status on rotavirus diarrhea in Kunming to improve the rotavirus vaccine immunization program.

METHODSA hospital-based sentinel surveillance program for rotavirus was set up among children less than 5 years old with acute diarrhea in Kunming Children's Hospital. Clinical information and fecal specimens were collected and rotavirus were detected by polyacrylamide gel electrophoresis (PAGE) and/or enzyme linked immunosorbent assay (ELISA). Positive specimens were further serotyped or genotyped by ELISA and/or RT-PCR.

RESULTSDuring the three years of surveillance, 466 specimens were collected. Rotavirus were detected on 246 (52.8%) specimens. 97% of the rotavirus diarrhea cases occurred among children less than 2 years old. There was a peak of admissions for rotavirus diarrhea cases between October and December which accounted for 48% of all the rotavirus hospitalizations each year. Among 204 specimens with G serotyping, the predominant strain was serotype G1 (47.5%) followed by G2 (17.6%), G3 (15.7%), G9 (4.9%) and G4 (1.0%). Mixed infection (2.5%) were rare and 22 specimens (10.8%) remained non-typeable. P genotyping showed P[4], P[8] and P[6] were the most common strains, accounting for 29.3%, 27.6% and 13.8% respectively. P[4]G2 was the most common strain which accounted for 34.1% (14/41) followed by P[8]G1 (29.3%) and P[6]G9 (12.2%). Another 7 uncommon P-G combinations were also identified.

CONCLUSIONRotavirus was the major cause of acute diarrhea in Kunming. An effective rotavirus vaccine for prevention and control of rotavirus diarrhea should be developed.

Child, Preschool ; China ; epidemiology ; Diarrhea ; virology ; Electrophoresis, Polyacrylamide Gel ; Enzyme-Linked Immunosorbent Assay ; Female ; Genotype ; Hospitals, Pediatric ; statistics & numerical data ; Humans ; Infant ; Male ; Reverse Transcriptase Polymerase Chain Reaction ; Rotavirus ; classification ; genetics ; isolation & purification ; Rotavirus Infections ; epidemiology ; Sentinel Surveillance ; Serotyping

To understand the hepatitis C virus (HCV) genotype distribution characteristics in Xinjiang region. 6462 cases with chronic HCV infection that were treated at the First Affiliated Hospital of Xinjiang Medical University from January 2013 to September 2018 were selected, and repeated testers were excluded. A total of 4773 cases with HCV genotypes were efficiently included. PCR-reverse dot hybridization method was used to retrospectively analyze the genotypes distribution. (2) test or F-test was used for intergroup comparison. < 0.05 was considered as statistically significant. Five genotypes were detected in 4 773 samples: genotype 1b 2928 cases (61.3%), genotype 2a 1241 cases (26%), and genotype 3a 375 cases (7.9%), genotype 3b 205 cases (4.3%), and genotype 6a 24 cases (0.5%). Patients were 48.14 ± 13.93 years old. Genotype 1b was mainly detected in all age groups. There were 2 965 cases of Han ethnicity and 1808 cases of 19 ethnic minorities, of which 1798 cases (60.6%) and 1130 cases (62.5%) were genotype 1b, and 235 cases (7.9%) and 345 cases (19.1%) were genotype 3, respectively. Among the ethnic minorities, Uyghur were the predominant, and genotype 6a could be detected; however, no other ethnic groups had detected genotype 6a. There were 704 Uyghur of genotype 1b (62.1%), 269 Uyghur of genotype 3 (23.7%), and 235 Hans of genotype 3 (7.9%). There were 2 413 males and 2 360 females, of which 1 418 males (58.8%), and 1 510 females (64%) were of genotype 1b, and 424 males (17.6%), and 156 females (6.6%) were of genotype 3. There was a statistically significant difference between the gender of patients with genotype 1b and non-genotype 1b ( < 0.05). There was a statistically significant difference in the detection rate of genotype 2a, 3a, 3b, 6a between Han and ethnic minority patients ( < 0.05). HCV genotypes distribution in Xinjiang region is diverse, and is mainly type 1b. An ethnic minority has higher proportion of HCV genotype 3 than that of Han ethnicity. HCV genotypes detection in Xinjiang region enriches the distribution characteristics of HCV genotypes and provides a basis for individualizing treatment for patients in China.
Adult ; China ; Ethnic Groups ; Female ; Genotype ; Hepacivirus ; genetics ; Hepatitis C ; Humans ; Male ; Middle Aged ; Minority Groups ; Retrospective Studies

Adult ; Automobiles ; Hearing Loss, High-Frequency ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Noise, Occupational/adverse effects* ; Occupational Diseases ; Occupational Exposure

Objective: To investigate the prevalence of diphenoxylate abuse and related factors of forced drug abstainer in Gansu province. Methods: By using a self-designed questionnaire, an epidemiologic investigation was carried out among 2 108 forced drug abstainer selected from the compulsory isolation detoxification center of Gansu province. A case-control study was conducted to analyze the factors related with diphenoxylate abuse. Results: The diphenoxylate abuse rate among forced drug abstainer in Gansu was 19.8% (406/2 046), ranking first in medical drug abuse. Multiple logistic regression analysis showed that factors as relieving withdrawal symptoms (OR=2.08, 95%CI: 1.01- 4.32), ways to obtain diphenoxylate (other ways: OR=1.00; regular clinic: OR=27.67, 95%CI: 2.64-289.82; friend: OR=0.01, 95%CI: 0.01-0.03), degree of euphoria (high: OR=1.00; medium: OR =3.36, 95%CI: 1.18-9.55; low: OR=26.16, 95%CI: 10.30-66.42), years of drug abuse (<5 years: OR=1.00; 10-15 years: OR=2.48, 95%CI: 1.02-6.04), abuse at home or in friend's house (OR=3.04, 95%CI: 1.08-8.68), abuse in car (OR=0.05, 95%CI: 0.00-0.68) and detoxification for the first time (OR=0.61, 95%CI: 0.43-0.86) were the possible influencing factors for diphenoxylate abuse. Conclusions: The prevalence of diphenoxylate abuse in forced drug abstainer in Gansu was relatively high. Reasons of abusing, the way to obtain diphenoxylate, whether using drug together with friends, degree of euphoria, years of abuse, abuse place and times for detoxification were related factors influencing the abuse of diphenoxylate.
Analgesics, Opioid/supply & distribution* ; Case-Control Studies ; China ; Diphenoxylate/supply & distribution* ; Humans ; Substance Withdrawal Syndrome ; Substance-Related Disorders/psychology* ; Surveys and Questionnaires

Objective: To analyze the epidemiological characteristics of hand foot and mouth disease (HFMD) cases caused by Coxsackie virus A16 (Cox A16) in Guangdong province from 2012 to 2016. Methods: The data of mild HFMD cases caused by Cox A16 were collected from 8 sentinel hospitals in 8 prefecture-level cities in Guangdong to estimate Cox A16 infection status and its population and time distribution characteristics. Results: (1) The highest estimated incidence of Cox A16 infection was in 2014 (113.0/100 000), followed by 2016 (86.4/100 000) and 2012 (79.1/100 000), while the estimated incidence was lower in 2015 (29.0/100 000) and 2013 (28.8/100 000). (2) Cox A16 was confirmed to be the predominant pathogen causing HFMD outbreaks (54.6%, 89/163). The number of outbreaks in the year with high incidence (28 outbreaks) was 11.2 times higher than that in the year with low incidence (2.5 outbreaks). (3) Across all age groups, the annual estimated incidence of Cox A16 infection decreased with age (trend χ(2)=853 905.63, P<0.01). The incidence was highest in age group 1 year (1 449.2/100 000), followed by that in age group 3 years (1 097.0/100 000), in age group 2 years (1 083.5/100 000), in age group 4 years (687.8/100 000) and in age group 0 year (604.9/100 000). Among the age groups <12 months, the estimated incidence increased with age (trend χ(2)=5 541.77, P<0.01), which was highest in age group 11-months (2 105.1/100 000), followed by that in age groups 10-months (1 448.6/100 000), 9-months (938.3/100 000), 8-months (703.3/100 000) and 6-months (664.6/100 000). (4) The annual incidence peak was during May (143.9/100 000)-June (131.5/100 000). Conclusion: The prevalence of Cox A16 infection differed with year in Guangdong during 2012-2016. When the incidence of Cox A16 infection was high, more outbreaks occurred. The prevalence occurred mainly in nurseries and kindergartens from May to June each year. Children aged 0-4 years were the high risk group for Cox A16 infection, children aged 6-11 months were at high risk for Cox A16 infection.
Animals ; Child ; Child, Preschool ; China/epidemiology* ; Cities ; Coxsackievirus Infections/epidemiology* ; Disease Outbreaks ; Enterovirus A, Human/isolation & purification* ; Hand, Foot and Mouth Disease/epidemiology* ; Hospitals ; Humans ; Incidence ; Infant ; Schools

Humans ; Ulcer/pathology* ; Herpesvirus 4, Human ; Epstein-Barr Virus Infections ; Skin Diseases

Objective: To explore the survival factors and construct a prognostic index (PI) for oral squamous cell carcinoma (OSCC). Methods: From January 2004 to June 2016, a total of 634 patients with pathologically confirmed OSCC were recruited in a hospital of Fujian. The clinical and follow-up data of all the patients with pathologically confirmed OSCC were collected to identify the factors influencing the prognosis of OSCC. All the patients were randomly divided into two groups: modeling group (modeling dataset, n=318) and validation group (validation dataset, n=316). Randomization was carried out by using computer-generated random numbers. In the modeling dataset, survival rates were calculated using Kaplan-Meier method and compared using the log-rank test. Cox regression model was used to estimate the hazard ratio (HRs) and 95% confidence intervals (CIs) of prognosis factors. An PI for OSCC patients prognostic prediction model was developed based on β value of each significant variable obtained from the multivariate Cox regression model. Using the tertile analysis, patients were divided into high-risk group, moderate-risk group, and low-risk group according to the PI, the Akaike information criterion (AIC) and Harrell's c-statistic (C index) were used to evaluated the model's predictability. Results: Results from the multivariate Cox regression model indicated that aged ≥55 years (HR=2.22, 95%CI: 1.45-3.39), poor oral hygiene (HR=2.12, 95%CI: 1.27-3.54), first diagnosis of lymph node metastasis (HR=5.78, 95%CI: 3.60-9.27), TNM stage Ⅲ-Ⅳ (stage Ⅰ as reference) (HR=2.43, 95%CI: 1.10-5.37) and poor differentiation (well differentiation as reference) (HR=2.53, 95%CI: 1.60-4.01) were the risk factors influencing the prognosis of OSCC. The PI model had a high predictability in modeling group and validation group (AIC and C index were 1 205.80, 0.700 2 and 1 150.47, 0.737 3). Conclusion: Age, poor oral hygiene, first diagnosis of lymph node metastasis, TNM stage and histological grade were factors associated with the prognosis of OSCC, and the PI model has a certain significance in the clinical treatment of OSCC.
Carcinoma, Squamous Cell/therapy* ; China/epidemiology* ; Humans ; Lymphatic Metastasis ; Middle Aged ; Mouth Neoplasms/therapy* ; Prognosis ; Proportional Hazards Models ; Risk Factors ; Survival Rate ; Treatment Outcome

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.