RESUMO
BACKGROUND: The use of antibiotics is considered a major determinant of the development of resistance in organisms. This study assessed current patterns of antibiotic prescription and provides background for quality improvement in general hospitals in Hubei, China. METHODS: A point-prevalence study was performed in November 2008. All inpatients on the day of the survey were included in the analysis. RESULTS: On the day of the study, 6904 patients (56%) were receiving antibiotic therapy; the highest rate occurred in the ICU (90%), and the lowest occurred in the medical wards (39%). The most commonly used antibiotics were ß-lactam antibiotics, including cephalosporins (40%) and piperacillin (19%), followed by fluoroquinolones (14%). CONCLUSIONS: Our data indicated a high rate of antibiotic use in Chinese hospitals. These findings suggest important areas for intervention and the implementation of antibiotic stewardship policies in Chinese hospitals. A multi-faceted strategy should be implemented at the national level in China and should include education, regulation, and greater financial support from the government.
Assuntos
Antibacterianos/uso terapêutico , Prescrições de Medicamentos/estatística & dados numéricos , Uso de Medicamentos/estatística & dados numéricos , Hospitais/estatística & dados numéricos , Adulto , China/epidemiologia , Resistência Microbiana a Medicamentos , Feminino , Inquéritos Epidemiológicos , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , Melhoria de QualidadeRESUMO
Successive point-prevalence surveys were conducted annually from 2007 to 2011 to monitor the prevalence of healthcare-associated infections (HAIs) in a university hospital in Hubei Province in China. The surveys used the case definition criteria established by the Ministry of Health of the People's Republic of China. In the 5 surveys, the overall frequency of HAIs was 3.16% (301/9533). No significant differences were identified in the point prevalence measurements of HAIs in any of the years from 2007 to 2011. Of all the cases, proportionally, the most frequent infection site was the respiratory tract (2.34%), followed by surgical sites (0.43%) and urinary tract sites (0.28%). Gram-negative aerobic bacilli were the most common organisms mentioned; the most frequently isolated organism was Pseudomonas aeruginosa, followed by Escherichia coli and Acinetobacter baumannii. Approximately one-half of the patients were receiving antibiotics at the time of the surveys. Cephalosporin, penicillin, and quinolone were most commonly used for treatment or prevention. The differences found in HAI prevalence data across the 5 surveys given in the hospital were not statistically significant. In conclusion, this successive point-prevalence survey provides information about the trend of HAI prevalence, epidemical character, and the use of antibiotics among the university hospital's in-patients. This information allows us to initiate targeted programs for infection prevention and control.
Assuntos
Bactérias/isolamento & purificação , Infecções Bacterianas/epidemiologia , Infecção Hospitalar/epidemiologia , Infecção Hospitalar/microbiologia , Fungos/isolamento & purificação , Micoses/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Anti-Infecciosos/uso terapêutico , Bactérias/classificação , Infecções Bacterianas/microbiologia , Criança , Pré-Escolar , China/epidemiologia , Uso de Medicamentos , Feminino , Fungos/classificação , Hospitais Universitários , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Micoses/microbiologia , Prevalência , Adulto JovemRESUMO
BACKGROUND: Metabolic syndrome traits play an important role in the development of colorectal cancer. Adipokines, key metabolic syndrome cellular mediators, when abnormal, may induce carcinogenesis. METHODOLOGY/PRINCIPAL FINDINGS: To investigate whether polymorphisms of important adipokines, adiponectin (ADIPOQ) and its receptors, either alone or in combination with environmental factors, are implicated in colorectal cancer, a two-stage case-control study was conducted. In the first stage, we evaluated 24 tag single nucleotide polymorphisms (tag SNPs) across ADIPOQ ligand and two ADIPOQ receptors (ADIPOR1 and ADIPOR2) among 470 cases and 458 controls. One SNP with promising association was then analyzed in stage 2 among 314 cases and 355 controls. In our study, ADIPOQ rs1063538 was consistently associated with increased colorectal cancer risk, with an odds ratio (OR) of 1.94 (95%CI: 1.48-2.54) for CC genotype compared with TT genotype. In two-factor gene-environment interaction analyses, rs1063538 presented significant interactions with smoking status, family history of cancer and alcohol use, with ORs of 4.52 (95%CI: 2.78-7.34), 3.18 (95%CI: 1.73-5.82) and 1.97 (95%CI: 1.27-3.04) for smokers, individuals with family history of cancer or drinkers with CC genotype compared with non-smokers, individuals without family history of cancer or non-drinkers with TT genotype, respectively. Multifactor gene-environment interactions analysis revealed significant interactions between ADIPOQ rs1063538, ADIPOR1 rs1539355, smoking status and BMI. Individuals carrying one, two and at least three risk factors presented 1.18-fold (95%CI:0.89-fold to 1.58-fold), 1.87-fold (95%CI: 1.38-fold to 2.54-fold) and 4.39-fold (95%CI: 2.75-fold to 7.01-fold) increased colorectal cancer risk compared with those who without risk factor, respectively (P(trend) <0.0001). CONCLUSIONS/SIGNIFICANCE: Our results suggest that variants in ADIPOQ may contribute to increased colorectal cancer risk in Chinese and this contribution may be modified by environmental factors, such as smoking status, family history of cancer and BMI.
Assuntos
Adiponectina/genética , Neoplasias Colorretais/etiologia , Interação Gene-Ambiente , Polimorfismo de Nucleotídeo Único , Receptores de Adiponectina/genética , Índice de Massa Corporal , Estudos de Casos e Controles , China/epidemiologia , Neoplasias Colorretais/genética , Família , Feminino , Predisposição Genética para Doença , Genótipo , Humanos , Masculino , Síndrome Metabólica/complicações , Pessoa de Meia-Idade , Fatores de Risco , FumarAssuntos
Infecções Relacionadas a Cateter/epidemiologia , Infecção Hospitalar/epidemiologia , Infecções Urinárias/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Infecções Relacionadas a Cateter/microbiologia , China/epidemiologia , Infecção Hospitalar/microbiologia , Feminino , Hospitais Universitários , Humanos , Unidades de Terapia Intensiva , Masculino , Pessoa de Meia-Idade , Vigilância da População , Fatores de Risco , Infecções Urinárias/microbiologia , Adulto JovemAssuntos
Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Adulto Jovem , Infecções Relacionadas a Cateter/epidemiologia , Infecção Hospitalar/epidemiologia , Infecções Urinárias/epidemiologia , Infecções Relacionadas a Cateter/microbiologia , China/epidemiologia , Infecção Hospitalar/microbiologia , Hospitais Universitários , Unidades de Terapia Intensiva , Vigilância da População , Fatores de Risco , Infecções Urinárias/microbiologiaRESUMO
OBJECTIVE: To determine the major risk factors and their interactions of ischemic stroke (IS) and to develop a classification tree model to predict the incidence risk of IS for a Chinese population. METHODS: Exhaustive Chi-squared Automatic Interaction Detection (Exhaustive CHAID) algorithm of classification tree method was applied to build a prediction model for the incidence risk of IS under the design of 1:1 matched case-control study. The statistics of misclassification risk was used to evaluate the fitness of the model. RESULTS: In the prediction model, six variables of physical exercise, history of hypertension, tea drinking, HDL-c level, smoking status and educational level were in turn selected as the predictors of IS incidence risk. In the subgroup of lacking of physical exercise, individuals who had history of hypertension would have a significantly higher IS risk (92%) than that of the ones who had no history of hypertension (64%). The misclassification risk estimate of the prediction model was 0.21 with the standard error of 0.02, indicating that 79% of the cases could be classified correctly based on current prediction model. CONCLUSIONS: Lacking of physical exercise and history of hypertension are identified to be the prominent predicting variables of IS risk for a hospital population of southern China. Although CHAID analysis could provide detailed information and insight about interactions among risk factors of IS, we still need to validate our model and improve the vascular risk prediction for Chinese subjects in further studies.
Assuntos
Isquemia Encefálica/epidemiologia , Árvores de Decisões , Acidente Vascular Cerebral/epidemiologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Isquemia Encefálica/complicações , China/epidemiologia , Feminino , Hospitais/estatística & dados numéricos , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Valor Preditivo dos Testes , Estudos Retrospectivos , Fatores de Risco , Acidente Vascular Cerebral/etiologiaRESUMO
A multicentre prospective cohort study was performed in 17 intensive care units (ICUs) in tertiary care hospitals in Hubei Province, China. Ventilator-associated pneumonia (VAP) was defined according to modified criteria from the published literature. Among 4155 ventilated patients, the crude incidence and incidence rate of VAP were 20.9% and 28.9 cases per 1000 ventilator-days. Multivariate analysis using logistic regression revealed risk factors including male sex [risk ratio (RR): 1.5; P<0.001], coma (RR: 2.1; P<0.001), chronic obstructive pulmonary disease (RR: 1.4; P<0.001), infections at other sites (RR: 1.6; P=0.001), serious disease predating the onset of VAP (RR: 1.6; P<0.001) and interventions including antacid treatment (RR: 1.4; P<0.001), antimicrobial treatment (RR: 5.1; P<0.001), bronchoscopy (RR: 1.5; P=0.041) and tracheostomy (RR: 1.4; P=0.014). The most frequently isolated causative pathogens were Pseudomonas aeruginosa and Acinetobacter baumannii. Of all Staphylococcus aureus isolates, 45.7% were meticillin resistant. Rates, risk factors and causal pathogens of VAP in ICUs in Hubei differ from those reported from developed countries. These data show the need for more effective infection control interventions in Hubei, China.
Assuntos
Bactérias/isolamento & purificação , Pneumonia Bacteriana/epidemiologia , Pneumonia Associada à Ventilação Mecânica/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Antibacterianos/farmacologia , Bactérias/classificação , Bactérias/efeitos dos fármacos , Criança , Pré-Escolar , China/epidemiologia , Feminino , Humanos , Incidência , Lactente , Unidades de Terapia Intensiva , Masculino , Testes de Sensibilidade Microbiana , Pessoa de Meia-Idade , Pneumonia Bacteriana/microbiologia , Pneumonia Associada à Ventilação Mecânica/microbiologia , Estudos Prospectivos , Fatores de Risco , Adulto JovemRESUMO
Successive point prevalence surveys were conducted in November 2007 and 2008 to monitor the prevalence of healthcare-associated infection (HCAI) in 13 grade III, 1st class hospitals in Hubei Province of China, using the case definition criteria established by the Ministry of Health in the People's Republic of China. In total, of 20 350 patients surveyed, 833 (4.09%) HCAIs were observed in 790 (3.88%) patients. There was no significant difference between the overall prevalence of HCAI in 2007 (4.14%) and 2008 (3.72%). Respiratory tract infection was the most common HCAI (63.15%), followed by surgical site infection (9.60%) and urinary tract infection (8.64%). Only 35.29% (294/833) of HCAI patients had positive microbiology results. Gram-negative bacteria were isolated most frequently and the most frequent organism was Pseudomonas aeruginosa, followed by Escherichia coli, Acinetobacter baumannii and Staphylococcus aureus. Antibiotic use was documented for 10,344 (50.83%) patients, and cephalosporins, penicillins, and quinolones were the most commonly used agents for treatment or prophylaxis.