Hyperprolactinemia is the common clinical syndrome; the causes of hyperprolactinemia are physiological, pharmacological, and pathological, in which prolactinoma is the most common cause. In drug therapy, dopamine agonists are the first choice, but there are 10%–20% of the patients who are resistant to drug therapy. This paper mainly summarized the causes, treatments, mechanisms of drug resistance, treatment during pregnancy, and progresses in the treatment of prolactinoma, so as to provide some theoretical basis to further research of hyperprolactinemia.
【Abstract】ObjectiveTo establish adriamycin (ADM) resistant pancreatic cancer cell line SW1990/ADM and to investigate its drug resistance mechanism.MethodsADM-resistant pancreatic cancer cell line SW1990/ADM was obtained by culture of pancreatic cancer cell line SW1990 in vitro with intermittently increasing the concentration of ADM in the culture medium for ten months. After two months of drug free culture, its biological characteristics, drug sensitivity as well as the expression and function of multidrug resistant gene 1 (mdr1) were detected, respectively. ResultsCompared with the parental cell line, SW1990/ADM showed great changes in biological characteristics and developed a cross resistance to various chemotherapy drugs. The drug resistance indexes of cell line SW1990/ADM to ADM, mitomycin, fluorouracil and gemcitabine were 49.60, 7.25, 3.80 and 1.25, respectively. The level of mdr1 mRNA expression in cell line SW1990/ADM was much higher than that of the parental cell line（P＜0.01). ConclusionWe have established adriamycin resistant pancreatic cancer cell line SW1990/ADM with multidrug resistance phenotype, its multidrug resistance is positively relevant to the expression of mdr1.
ObjectiveTo find out the major isolates distribution, drug resistance changes of multidrug-resistant organisms (MDRO) in 2013 for rational use of antibiotics and hospital infection control. MethodsA total of 32 566 cultured bacteria samples from the patients diagnosed between January 1st and December 31st 2013 were collected, using conventional tube biochemical assays and semi-automatic automicrobic (AMS) for bacteria identification; and antimicrobial susceptibility testing, major drug resistance mechanism detection were performed according to CLSI documents. MDRO definition was made according to the 2011 international consensus from European Center for Disease Control and Prevention (CDC), American CDC, Clinical and Laboratory Standards Institute (CLSI), and Food and Drug Administration. The data was analyzed by WHOnet 5.6 software. ResultsWe got 3 684 strains isolates, G- accounted for 76.08%, G+ 16.80%, fungi 7.11%, and fastidious bacteria 17.29%. The top ten isolates in order were:E.coli, A.baumannii, Ps.aeruginosa, H.influenzae, K.pneumoniae, S.aureus, S.pneumoniae, A.fumigatus, M.catarrhalis and C.freundii. From the first quarter 2012 to the fourth quarter 2013, the extended spectrum β lactamases (ESBL)-producing E.coli increased from 40.23% to 53.54%, ESBL-producing K.pneumonia increased from 14.28% to 34.78%, XDR-A.baumannii increased from 62.38% to 99.25%, metalloenzyme-producing Ps.aeruginosa increased from 7.37% to 25.37%, methicillin resistant staphylococcus aureus increased from 23.81% to 58.70%, and VRE increased from 0.00% to 28.12%. ConclusionIn the isolates, the percentage of G- was the highest, and the rate of MDRO are all unremittingly raising, which suggests us should pay more attention to microbiology analysis, rational use of antibiotics, strengthening hospital infection control, reducing the bacterial resistance, and strengthening MDRO surveillance.
Objective To investigate the drug resistance and homogeneous analysis of Acinetobacter baumanii in emergency intensive care unit ( EICU) . Methods Four multidrug-resistant Acinetobacter baumannii ( MDR-Ab) strains isolated fromnosocomial inpatients fromJuly 25 to September 7 in 2009 were collected and tested for drug sensitivity and MIC determination as well. The A. baumannii isolates were typed with pulsed-field gel electrophoresis ( PFGE) to determine whether they derived fromthe same clone.Results Four isolates from nosocomial inpatients were resistant to multiple antibiotics including carbapenem. The PFGE types identified from four isolates were A and B. The A. baumannii isolates did not derived from the same clone. Conclusion The prevalence of nosocomial infection is not due to transmission of the same strains among different individuals in EICU.
ObjectiveTo investigate the clinical characteristics, treatment and outcomes of patients with Acinetobacter baumannii peritoneal dialysis-related peritonitis.MethodsWe retrospectively analyzed the clinical data of patients with Acinetobacter baumannii peritoneal dialysis-related peritonitis in the First Affiliated Hospital of Airforce Military University from January 2011 to December 2018. The clinical baseline data, treatment process, microbiological data, antibiotic susceptibility test of the bacterial isolates and outcomes were analyzed.ResultsA total of 10 patients were enrolled, including 4 males and 6 females. The average age of all patients was (44.90±17.03) years, the average age of peritoneal dialysis was (21.70±17.06) months. Seven cases were infected for the first time, and 3 cases were reinfected. The infections were mainly caused by mechanical failure of catheter connection system (3 cases) or enterogenous infection (3 cases). The main symptoms were abdominal pain (10 cases), fever (7 cases) and diarrhea (3 cases). Empirical anti-infective treatment was given after admission, only 1 case was effective, and the treatment of the other 9 cases were adjusted according to the results of drug sensitivity. Acinetobacter baumannii was sensitive to cefoperazone, carbapenem (meropenem, imipenem), quinolones (ciprofloxacin, levofloxacin), aminoglycosides (gentamicin) and polymyxin. Only one case was resistant to ceftazidime. Among the 10 patients, 8 cases were cured (continued peritoneal dialysis), 1 case died, and 1 case dropped out from peritoneal dialysis to hemodialysis.ConclusionsAcinetobacter baumannii peritoneal dialysis-related peritonitis in this hospital is mainly caused by mechanical disturbance of catheter connection system or enterogenic infection. Appropriate measures, including aseptic standard operation, follow-up and effective anti-infective treatment, should be taken to decrease the incidence and mortality of Acinetobacter baumannii peritoneal dialysis-related peritonitis.
ObjectiveTo analyze the clinical distribution and changes of antimicrobial resistance profiles of Staphylococcus aureus (SA), as well as to provide the basis for the prevention and treatment of infection. MethodsThe clinical data and the antimicrobial resistance profiles of SA were collected from Jan, 2008 to Dec, 2014 in West China Hospital of Sichuan University. The WHONET 5.5 software was used to analyze the resistance data. ResultsA total of 5 698 SA isolates were included within 7 years. Of all strains, 2 721 (47.8%) were isolated from secretion, 1 638 (28.75%) were from respiratory tract specimens, 451 (7.9%) were from pus, and 362 (6.4%) were from blood. 811 (49.5%) SA isolates from respiratory tract specimens were Methicillin-resistant Staphylococcus aureus (MRSA), which was higher than those from secretion, pus and blood. 1052 (18.5%) SA strains were isolated from the dermatological department, 604 (10.6%) were from the orthopedics department, 472 (8.3%) were from the intensive care unit (ICU), 471 (8.3%) were from the department of burn, and the detection rate of MRSA from ICU (341, 72.2%) was the highest. During last 7 years, the total separation rate of SA was 8.2%, among them 1 858 (32.6%) MRSA were isolated, and the detection rate was 32.6%. The resistant rate of SA to erythromycin, clindamycin, tetracycline, gentamicin, rifampin, ciprofloxacin, levofloxacin and moxifloxacin had a statistically significant decrease from 2008 to 2014, while the resistant rate of SA to trimethoprim/sulfamethoxazole had increased. No vancomycin, linezolid, teicoplanin or tigecycline resistant strain was detected. The resistance rates of MRSA to common antibiotics such as penicillin G, erythromycin, clindamycin, tetracycline, gentamicin, rifampin and fluoroquinolones were higher than those of MSSA, while the resistance rate of MRSA to trimethoprim/sulfamethoxazole was lower than MSSA. ConclusionCompared with the monitoring data in China, the drug resistance of SA in West China Hospital is well controlled. However, experience-directed antibiotic treatment of MRSA infection is still limited. MRSA infection remains a serious problem in critically ill patients. The rational use of antibiotics and application of effective infection control measures are important to decrease the MRSA infection.
ObjectiveTo compare the clinical characteristics of patients with nosocomial and community infections with extended-spectrum beta-lactamase-containing Klebsiella pneumoniae (ESBL-KP) and non-ESBL-KP so as to improve clinical diagnosis and treatment outcomes.MethodsThis retrospective study determined the clinical features of patients with nosocomial and community infections with KP who were admitted to our hospital from January 1st, 2017 to June 30th, 2018. The chi-square test or Fisher's exact probability method were used to compare different groups.ResultsWe identified 334 strains of KP, and 83 (24.9%) of them strains were EBSL-KP. The percentages of ESBL-KP infections among those with nosocomial and community infections were similar (31.25% vs. 22.27%, χ2=2.955, P=0.086). Significantly more females than males had ESBL-KP infections (32.32 vs. 21.70%, χ2=4.208, P=0.040). The percentages of ESBL-KP infections were similar among <18 years-old group, 18 to 45 years-old group, 45 to 60 years-old group, and ≥60 years-old group. The three major locations of KP infections were the lower respiratory tract, urinary tract, and bloodstream (bacteremia). Among nosocomial KP infections, there were no significant differences in the percentages of ESBL-KP infections at different sites, nor in the hospital departments where patients were treated; among community KP infections, there were significant differences in the percentages of ESBLs-KP infections at different sites, and in the hospital departments where patients were treated. For community KP infections, the two most common infection sites were the urinary tract (37.74%) and the skin and soft tissue (30.77%), and most patients were treated in the urology department (40.00%) and respiratory medicine department (38.10%). ESBL-KP isolates had greater resistance than non-EBSL-KP isolates to 16 tested antibiotics (P<0.05). There were no statistically significant differences in the percentages of nosocomial infections and community infections among those with ESBL-KP and among those with non-ESBL-KP (P>0.05).ConclusionsOur population have high rates of nosocomial and community KP infections and of infections with ESBL-KP. It is necessary to strengthen the management and clinical use of antibiotics and to provide real-time surveillance of KP infections, especially for patients with ESBL-KP infections. Increased vigilance is required for KP infections of females and community KP infections to improve control of nosocomial infections and reduce the prevalence of cross-infections.
ObjectiveTo investigate the distribution and drug resistance of the pathogens isolated from hospitalized pediatric patients with respiratory tract infections, and to provide guidance for empiric therapy. MethodsRespiratory tract specimens from hospitalized pediatric patients with respiratory tract infections from 2011 to 2015 were collected, and the strains were identified and the drug susceptibility was tested. ResultsA total of 1995 strains of pathogens, 1281 (64.21%) from boys and 714 (35.79%) from girls, were isolated from 6236 specimens and the detection rate was 31.99%. The mean age of the hospitalized pediatric patients was (1.22±2.05) years (ranged from 1 day to 14 years). 1393 (69.82%) pediatric patients were younger than 1 year. Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Candida albicans and Acinetobacter baumannii ranked the top five species, accounting for 29.82%, 15.09%, 13.18%, 12.73% and 5.91%, respectively. 1995 strains included gram-negative bacteria (50.93%), gram-positive bacteria (35.29%), and fungi (13.78%). The resistance rate of Staphylococcus aureus to oxacillin was 31.76%, but it was 100% sensitive to vancomycin and linezolid. The resistant rate of gram-negative bacteria to imipenem was ranged from 1.52% to 5.93%. The resistant rate of gram-negative bacteria to ceftazidime, cefepime, piperacillin tazobactam and tobramycin was less than 30.00%. ConclusionsThe infants whose age are younger than 1 year comprise the majority of the hospitalized pediatric patients with respiratory tract infections. The proportion of male is more than that of female. Staphylococcus aureus and enterobacteriaceae were the main isolated pathogens. There is difference in drug resistance between different pathogens, so antibiotics should be chosen according to the results of drug sensitivity testing.
Objective To review the clinical features and trend in antimicrobial resistance of Acinetobacter baumannii (A. baumannii) bloodstream infections. Methods Retrospective analysis was performed by collecting data of underlying diseases, potential risk factors, clinical characteristics, blood test results, Acute Physiology and Chronic Health EvaluationⅡ (APACHEⅡ) scores at onset, bacterial resistance to antibiotics and antimicrobial therapy were collected in Hunan Provincial People’s Hospital from January 2010 to June 2016. Results There were 114 non-duplicated A. baumannii complex blood isolates identified in this research. All patients had at least one underlying disease and accepted at least one surgery or invasive operation within the past 14 days. Multidrug-resistant A. baumannii (MDRAB) was isolated from 89 (78.1%) patients. Of the 114 strains of A. baumannii, 12.3% were resistant to tigecycline, 55.3% to amikacin and 61.4% to cefoperazone-sulbactam. The overall mortality was 51.8% (59/114). The patients with MDRAB had higher mortality rate than those with non-MDRAB (62.9% vs. 12.0%, χ2=20.268, P<0.001). With higher incidence of being in the intensive care unit, intubation/tracheotomy and increased APACHEⅡ score among patients with MDRAB bacteremia (P<0.05). Compared with subjects treated with tigecycline based regimen, those treated with non tigecycline for multidrug resistantA. baumannii had a higher mortality (64.8% vs. 60.0%) but there was no statistical significance (P>0.05). Conclusions The isolated A. baumannii are mainly multidrug resistant and with high mortality. Being in the intensive care unit, increased APACHEⅡ score and intubation/tracheotomy were risk factors for higher mortality among patients with MDRAB bloodstream infection. Tigecycline based regimen doesn’t improve patients’ prognosis.
Objective To investigate the pathogen distribution and drug resistance in ICU patients, provide reference for prevention of severe infection and empirical antibacterial treatment. Methods The patients admitted in ICU between January 2013 and December 2014 were retrospectively analyzed. The pathogenic data were collected including bacterial and fungal culture results, the flora distribution and drug resistance of pathogenic bacteria. Results A total of 2088 non-repeated strains were isolated, including 1403 (67.2%) strains of Gram-positive bacteria, 496 (23.8%) strains of Gram-negative bacteria, and 189 (9.0%) strains of fungus. There were 1324 (63.42%) strains isolated from sputum or other respiratory specimens, 487 (23.33%) strains from blood specimens, 277 (13.27%) strains from other specimens. The bacteria included Acinetobacter baumannii (17.2%), Klebsiella pneumoniae (14.8%), Pseudomonas aeruginosa (9.9%), C. albicans (6.3%), E. coli (5.6%), E. cloacae (5.4%), Epidermis staphylococcus (5.0%) and Staphylococcus aureus (4.7%). There were 15 strains of penicillium carbon resistant enterobacteriaceae bacteria (CRE) accounting for 2.3%, including 5 strains of Pneumonia klebsiella, 4 strains of E. cloacae. In 117 strains of E. coli, drug-resistant strains accounted for 86.4% including 85.5% of multiple drug-resistant strains (MDR) and 0.9% of extremely-drug resistant (XDR) strains. In 359 strains of Acinetobacter baumannii, drug-resistant strains accounted for 75.2% including 72.1% of XDR strains and 3.1% of MDR strains. MDR strains accounted for 10.6% in Pseudomonas aeruginosa. Detection rate of methicillin resistant Staphylococcus aureus (MRSA) and methicillin resistant coagulase-negative Staphylococci (MRCNS) was 49.0% and 95.5%, respectively. There were 4 strains of vancomycin resistant Enterococcus faecalis. There were 131 (69.3%) strains of C. albicans, 23 (12.2%) strains of smooth candida. C. albicans was sensitive to amphotericin and 5-fluorine cytosine, and the resistance rate was less than 1% to other antifungle agents. The resistance rate of smooth ball candida was higher than C. albicans and nearly smooth candida, but still less than 15%. Conclusions The predominant pathogens in ICU was gram-negative bacteria. The top eight pathogenic bacteria were Acinetobacter baumanni, Klebsiella pneumoniae, Pseudomonas aeruginosa, C. albicans, E. coli, E. cloacae, Epidermis staphylococcus and S. aureus. Sputum and blood are common specimens. CRE accounts for 2.3%. Drug-resistant strains are most common in E. coli mainly by MDR, followed by Acinetobacter baumannii mainly by XDR, and least in Pseudomonas aeruginosa. C. albicans is the most common fungus with low drug resitance.