The impact of preoperative biliary drainage on postoperative healthcare-associated infections and clinical outcomes following pancreaticoduodenectomy: a ten-year retrospective analysis.

BACKGROUND: Pancreaticoduodenectomy (PD) is a complex procedure and easily accompanied by healthcare-associated infections (HAIs). This study aimed to assess the impact of PBD on postoperative infections and clinical outcomes in PD patients. METHODS: The retrospective cohort study were conducted in a tertiary hospital from January 2013 to December 2022. Clinical and epidemiological data were collected from HAIs surveillance system and analyzed. RESULTS: Among 2842 patients who underwent PD, 247 (8.7%) were diagnosed with HAIs, with surgical site infection being the most frequent type (n = 177, 71.7%). A total of 369 pathogenic strains were detected, with Klebsiella pneumoniae having the highest proportion, followed by Enterococcu and Escherichia coli. Although no significant association were observed generally between PBD and postoperative HAIs, subgroup analysis revealed that PBD was associated with postoperative HAIs in patients undergoing robotic PD (aRR = 2.174; 95% CI:1.011-4.674; P = 0.047). Prolonging the interval between PBD and PD could reduce postoperative HAIs in patients with cholangiocarcinoma (≥4 week: aRR = 0.292, 95% CI 0.100-0.853; P = 0.024) and robotic PD (≤2 week: aRR = 3.058, 95% CI 1.178-7.940; P = 0.022). PBD was also found to increase transfer of patients to ICU (aRR = 1.351; 95% CI 1.119-1.632; P = 0.002), extended length of stay (P < 0.001) and postoperative length of stay (P = 0.004). CONCLUSION: PBD does not exhibit a significant association with postoperative HAIs or other outcomes. However, the implementation of robotic PD, along with a suitable extension of the interval between PBD and PD, appear to confer advantages concerning patients' physiological recuperation. These observations suggest potential strategies that may contribute to enhanced patient outcomes.

Epidemiology of healthcare-associated infections and outcomes among open and robotic pancreatoduodenectomy: A retrospective study from 2013 to 2022.

BACKGROUND AND AIM: Healthcare-associated infections (HAIs) after pancreaticoduodenectomy (PD) are one of the common postoperative complications. This study aims to investigate the epidemiology of postoperative HAIs in patients with open pancreaticoduodenectomy (OPD) and robotic pancreaticoduodenectomy (RPD). METHODS: This retrospective cohort study described the trend of HAIs in patients undergoing PD from January 2013 to December 2022 at a tertiary hospital. Patients were divided into OPD and RPD, and the HAIs and outcomes were compared. RESULTS: Among 2632 patients who underwent PD, 230 (8.7%, 95% confidence interval [CI] 7.7-9.9%) were diagnosed with HAIs, with a decreasing trend from 2013 to 2022 (P < 0.001 for trend). The incidence of postoperative HAIs was significantly higher in patients with OPD than RPD (9.6% vs 5.8%; P = 0.003). The incidence of HAIs for patients with OPD showed a decreasing trend (P = 0.001 for trend), and the trend for RPD was not significant (P = 0.554 for trend). Logistic regression showed that RPD was significantly associated with postoperative HAIs after adjusting for covariates (adjusted odds ratio = 0.654; 95% CI 0.443-0.965; P = 0.032), especially in the subgroup of patients without preoperative biliary drainage (adjusted odds ratio = 0.486; 95% CI 0.292-0.809; P = 0.006). Regarding clinical outcomes, RPD has a shorter length of stay and a more expensive charge than OPD (all P < 0.05). CONCLUSION: Postoperative HAIs in patients with PD showed a decreasing trend in recent years, especially in OPD. RPD was significantly associated with reduced postoperative HAIs and length of stay, although the charge is more expensive. Attention should be paid to postoperative HAIs in OPD, and it is imperative to continue reducing the costs of RPD.

Multicenter surveillance study of surgical site infection and its risk factors in radical resection of colon or rectal carcinoma.

BACKGROUND: Colorectal surgery is associated with high rates of surgical site infection (SSI). We investigated SSI in radical resection of colon or rectal carcinoma and its epidemiological distribution in 26 hospitals in China. METHODS: We conducted prospective surveillance of patients who underwent radical resection of colon or rectal carcinoma in 26 selected hospitals from January 2015 to June 2016.An information system monitored all of the surgical inpatients. Infection control professionals observed the inpatients with suspected SSI who had been screened by the system at the bedside. The infection status of the incisions was followed up by telephone 1 month after the operation. RESULTS: In total, 5729 patients were enrolled for the two operations; SSIs occurred in 206 patients, and the infection rate was 3.60%. The incidence of SSI after radical resection of rectal carcinoma (5.12%; 119/2323) was 2.1 times higher than that after radical resection of colon carcinoma (2.55%; 87/3406) (P < 0.0001). Additionally, in the colon versus rectal groups, the rate of superficial incisional SSI was 0.94% versus 2.28% (P < 0.0001), the rate of deep incisional SSI was 0.56% versus 1.11% (P = 0.018), and the rate of organ space SSI was 1.06% versus 1.72% (P = 0.031), respectively. The most common pathogens causing SSIs after radical resection of colon carcinoma were Escherichia coli (21/38) and Pseudomonas aeruginosa (5/38). Escherichia coli (24/65) and Enterococcus spp. (14/65) were the two most common pathogens in the rectal group. The multivariate logistic regression analysis showed that only the operating time and number of hospital beds were common independent risk factors for SSIs after the two types of surgery. CONCLUSION: This multicenter study showed that there were significant differences in the incidence of SSIs, three types of SSIs, and some risk factors between radical resection of colon carcinoma and rectal carcinoma.

Nosocomial Bloodstream Infection Due to Candida spp. in China: Species Distribution, Clinical Features, and Outcomes.

OBJECTIVES: To investigate the distribution of Candida spp., predictors of mortality, and effects of therapeutic measures on outcomes of nosocomial bloodstream infection (BSI) due to Candida spp. METHODS: This retrospective, population-based study enrolled adult patients with Candida nosocomial BSI from January 2010 to December 2014 in one tertiary care hospital. The demographics, comorbidities, species distribution, risk factors, and effects of antifungal treatment were assessed. RESULTS: In total, 190 episodes of Candida BSI were identified. The most prevalent species was C. albicans (38.9 %), followed by C. parapsilosis (23.2 %) and C. tropicalis (20.5 %). In vitro susceptibility testing showed that 88.9 % of Candida isolates were susceptible to fluconazole. The 30-day hospital mortality was 27.9 %, while the early mortality (within 7 days) was 16.3 %. In a multivariate regression analysis, the Acute Physiology and Chronic Health Evaluation II score [odds ratio (OR) 1.23; 95 % confidence interval (CI) 1.080-1.390; P = 0.002] and severe sepsis or septic shock (OR 15.35; 95 % CI 2.391-98.502; P = 0.004) were independently correlated with early mortality. Severe sepsis or septic shock (OR 24.75; 95 % CI 5.099-120.162; P < 0.001) was an independent risk factor for 30-day mortality, while proven catheter-related candidemia (OR 0.16; 95 % CI 0.031-0.810; P = 0.027) was a positive factor for 30-day mortality. Early central venous catheter removal and adequate antifungal treatment were closely related to decreased mortality in patients with primary candidemia. CONCLUSION: The proportion of candidemia caused by C. albicans was lower than that caused by non-albicans species. The severity of illness influenced early mortality, and the origin of the central venous catheter remarkably affected 30-day mortality.

Real-time automatic hospital-wide surveillance of nosocomial infections and outbreaks in a large Chinese tertiary hospital.

BACKGROUND: We aimed to develop a real-time nosocomial infection surveillance system (RT-NISS) to monitor all nosocomial infections (NIs) and outbreaks in a Chinese comprehensive hospital to better prevent and control NIs. METHODS: The screening algorithm used in RT-NISS included microbiological reports, antibiotic usage, serological and molecular testing, imaging reports, and fever history. The system could, in real-time, identify new NIs, record data, and produce time-series reports to align NI cases. RESULTS: Compared with a manual survey of NIs (the gold standard), the sensitivity and specificity of RT-NISS was 98.8% (84/85) and 93.0% (827/889), with time-saving efficiencies of about 200 times. RT-NISS obtained the highest hospital-wide monthly NI rate of 2.62%, while physician and medical record reviews reported rates of 1.52% and 2.35% respectively. It took about two hours for one infection control practitioner (ICP) to deal with 70 new suspicious NI cases; there were 3,500 inpatients each day in the study hospital. The system could also provide various updated data (i.e. the daily NI rate, surgical site infection (SSI) rate) for each ward, or the entire hospital. Within 3 years of implementing RT-NISS, the ICPs monitored and successfully controlled about 30 NI clusters and 4 outbreaks at the study hospital. CONCLUSIONS: Just like the "ICPs' eyes", RT-NISS was an essential and efficient tool for the day-to-day monitoring of all NIs and outbreak within the hospital; a task that would not have been accomplished through manual process.

The surgical interval between robot-assisted SEEG and epilepsy resection surgery is an influencing factor of SSI.

BACKGROUND: In recent years, the development of robotic neurosurgery has brought many benefits to patients, but there are few studies on the occurrence of surgical site infection (SSI) after robot-assisted stereoelectroencephalography (SEEG). The purpose of this study was to collect relevant data from robot-assisted SEEG over the past ten years and to analyze the influencing factors and economic burden of surgical site infection. METHODS: Basic and surgical information was collected for all patients who underwent robot-assisted SEEG from January 2014 to December 2023. Logistic regression was used to analyze the factors influencing SSI according to different subgroups (radiofrequency thermocoagulation or epilepsy resection surgery). RESULTS: A total of 242 subjects were included in this study. The risk of SSI in the epilepsy resection surgery group (18.1%) was 3.5 times greater than that in the radiofrequency thermocoagulation group (5.1%) (OR 3.49, 95% CI 1.39 to 9.05); this difference was statistically significant. SSI rates in the epilepsy resection surgery group were associated with shorter surgical intervals (≤ 9 days) and higher BMI (≥ 23 kg/m2) (6.1 and 5.2 times greater than those in the control group, respectively). Hypertension and admission to the intensive care unit (ICU) were risk factors for SSI in the radiofrequency thermocoagulation group. Patients with SSIs had $21,231 more total hospital costs, a 7-day longer hospital stay, and an 8-day longer postoperative hospital stay than patients without SSI. CONCLUSIONS: The incidence of SSI in patients undergoing epilepsy resection after stereoelectroencephalography was higher than that in patients undergoing radiofrequency thermocoagulation. For patients undergoing epilepsy resection surgery, prolonging the interval between stereoelectroencephalography and epilepsy resection surgery can reduce the risk of SSI; At the same time, for patients receiving radiofrequency thermocoagulation treatment, it is not recommended to enter the ICU for short-term observation if the condition permits.

Epidemiology and risk factors of nosocomial infections in a Chinese tertiary-care hospital: a 10-year retrospective case-control study.

BACKGROUND: Nosocomial infections (NIs) are the most frequent adverse events among patients and cause a heavy burden on both health and economics. To investigate epidemiology of NIs and identify risk factors for NIs by integrating continuous long-term surveillance data. METHODS: We performed an observational study among inpatients at the Chinese People's Liberation Army General Hospital between January 1, 2010, and December 31, 2019. Infection rates, mortality rates and percentage of NIs were calculated. Trends of yearly infection rates by pathogens were assessed using Mann-Kendall trend test. Controls were matched to cases (2:1) by age (±2 years), sex, admission date (±1 year) and admission diagnosis, and conditional logistic regression was used to estimate odds ratios. RESULTS: A total of 1,534,713 inpatients were included among which 33,468 NIs cases occurred with an infection rate of 2.18%. The most common infections were respiratory system infection (52.22%), bloodstream infection (17.60%), and genitourinary system infection (15.62%). Acinetobacter. baumannii (9.6%), Klebsiella. pneumoniae (9.0%), Pseudomonas. aeruginosa (8.6%), Escherichia. coli (8.6%) and Enterococcus. faecium (5.0%) were the top five isolated pathogens. Infection rates of K. pneumoniae and carbapenems-resistant K. pneumoniae significantly increased. Prior ICU stay, surgery, any device placement (including central venous catheter, mechanical ventilation, urinary catheter, and tracheotomy), prior use of triple or more antibiotics combinations, carbapenem, and ß-Lactamase inhibitors were significantly associated with NIs. CONCLUSION: K. pneumoniae has the potential to cause a clinical crisis with increasing infection rates and carbapenem resistance. Clinical management of invasive operations and antibiotics use should be further strengthened.

Retrospective Analysis of Epidemiology, Risk Factors, and Outcomes of Health Care-Acquired Carbapenem-Resistant Klebsiella pneumoniae Bacteremia in a Chinese Tertiary Hospital, 2010-2019.

INTRODUCTION: In the present study, we aimed to describe the proportion of carbapenem-resistant Klebsiella pneumoniae bloodstream infection (CRKP-BSI) in KP-BSI in one Chinese tertiary hospital over 10 years and determine the risk factors and outcomes of CRKP-BSI. METHODS: We retrospectively analyzed clinical and microbiological data of patients with KP-BSI from January 2010 to December 2019 to identify risk factors, clinical features, and outcomes using multivariate logistic regression analysis. KP-BSI only included monomicrobial BSI and health care-acquired BSI. RESULTS: Among the total 687 isolates of KP-BSI in this study, the rate of CRKP was 39.0% (268/687); this rate in the intensive care unit (ICU) was 65.6% and that in seven high-risk departments (including four ICUs, respiratory medicine, gastroenterology medicine, and hepatobiliary surgery) was 74.6%. The annual rate of CRKP in KP-BSI ranged from 0.0% in 2010 to 54.5% in 2019. The 28-day mortality was 36.2% in patients with CRKP-BSI and 11.7% in those with carbapenem-susceptible K. pneumoniae (CSKP) BSI. Multivariable logistic regression analysis showed that prior ICU stay (odds ratio [OR] 2.485, P < 0.001), hospital stay ≥ 30 days prior to BSI (OR 1.815, P = 0.007), prior mechanical ventilation (OR 2.020, P = 0.014), prior urinary catheter (OR 1.999, P = 0.003), prior carbapenem use (OR 3.840, P < 0.001), hepatobiliary disease (OR 2.943, P < 0.001), pancreatitis (OR 2.700, P = 0.026), and respiratory disease (OR 2.493, P = 0.009) were risk factors of CRKP-BSI. Patients with a first admission (OR 0.662, P = 0.046) had a lower percentage of CRKP-BSI. CONCLUSION: The rapidly rising rate of CRKP-BSI in KP with high mortality requires increased attention. Exposure to carbapenems, ICU stay, invasive mechanical ventilation or urinary catheter, prolonged hospital stay, hepatobiliary disease, pancreatitis, and respiratory disease were found to be risk factors for CRKP-BSI. Strict control measures should be implemented to prevent the emergence and spread of CRKP, especially in high-risk departments.

Epidemiology, resistant pathogens, and causes of early death in cases of bloodstream infection in patients with hematological malignancies from 2012-2019.

Purpose: To investigate the epidemiology, causative pathogen antibiotic susceptibility, and mortality risk factors of bloodstream infection (BSI) in patients with hematological malignancies (HMs). Methods: Single-center retrospective analysis of BSI cases in patients with HMs in a Chinese tertiary hospital from 2012-2019. Results: Among 17,796 analyzed admissions, 508 BSI episodes (2.9%; 95% confidence interval: 2.6%-3.2%) were identified. Of 522 resulting isolates, 326 (62.5%) were Gram-negative, 173 (33.1%) were Gram-positive. The BSI incidence among patients with different HMs (severe aplastic anemia: 6.7%; acute leukemia: 6.2%; myelodysplastic syndrome: 3.2%; multiple myeloma: 1.3%; and lymphoma: 1.0%) differed significantly (p < 0.001). The BSI incidence was significantly higher in the hematopoietic stem cell transplantation (HSCT) group (10.2%) than in the non-HSCT group (2.5%; p < 0.001). Escherichia coli (30.7%, 160/522) was the most common pathogen, followed by Coagulase-negative staphylococci (19.4%, 101/522) and Klebsiella pneumoniae (10.0%, 52/522)., The rates of imipenem resistance for E. coli, K. pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii were 6.4%, 15.0%, 27.8%, and 79.0%, respectively. All the Gram-positive pathogens were linezolid susceptible. Three vancomycin-resistant Enterococcus species were isolated. The overall 14-day mortality was 9.8% (95% confidence interval: 7.2%-12.4%). A multivariate analysis showed that HM subtype severe aplastic anemia, A. baumannii, and malignancy non-remission were independent 14-day mortality risk factors. Conclusions: Gram-negative bacteria were the most common pathogens, with E. coli as the predominant strain, causing BSIs in HM patients. A carbapenem-resistant A. baumanni with a high mortality rate in HM patients made empirical antimicrobial choice a highly challenging issue.

Patients with COVID-19 and HBV Coinfection are at Risk of Poor Prognosis.

INTRODUCTION: This study aimed to determine whether there is a difference in the risk of death/critical illness between different stages of hepatitis B virus (HBV) (resolved hepatitis B, HBeAg (-) chronic hepatitis B [CHB]/infection, HBeAg (+) CHB/infection, and HBV reactivation) coinfected with coronavirus disease 2019 (COVID-19); and if there is a difference, whether it is due to abnormal liver function and to what extent. METHODS: This cohort study included all COVID-19 inpatients of a single-center tertiary care academic hospital in Wuhan, Hubei, China, between February 4, 2020, and follow-up to April 14, 2020. A total of 2899 patients with COVID-19 were included as participants in this study, and they were divided into five groups based on hepatitis B infection status. Follow-up was conducted for mortality and ICU admission during hospitalization. RESULTS: The median follow-up time was 39 days (IQR, 30-50), with 66 deaths and 126 ICU admissions. After adjustment, compared with patients without CHB, the hazard ratio (HR) for ICU admission was 1.86 (95% CI: 1.05-3.31) for patients with HBeAg (+) CHB/infection. The HR for death was 3.19 (95% CI: 1.62-6.25) for patients with HBeAg (+) CHB/infection. The results for the mediating effect indicated that the total effect of HBeAg (+) CHB/infection on death/ICU stay was partially mediated by abnormal liver function, which accounted for 79.60% and 73.53%, respectively. CONCLUSION: Patients with COVID-19 coinfected with HBV at the HBeAg (+) CHB/infection stage have an increased risk of poor prognosis, and abnormal liver function partially mediates this increased risk of poor prognosis caused by the coinfection.

Increased thyroid function and elevated thyroid autoantibodies in pediatric patients with moyamoya disease: a case-control study.

BACKGROUND AND PURPOSE: The purpose of this study was to investigate whether thyroid function and thyroid autoantibodies were associated with the risk of moyamoya disease in pediatric subjects. METHODS: Thyroid function and thyroid autoantibodies were evaluated in patients with moyamoya disease and control subjects, and their associations with moyamoya disease were estimated using multivariate analysis. RESULTS: We included 114 pediatric patients and 114 healthy control subjects. The patients displayed higher prevalence of increased thyroid function and elevated thyroid autoantibodies in comparison with control subjects. These remained significant after multivariate adjustment; the ORs (95% CI) for increased thyroid function and evaluated thyroid autoantibodies were evaluated as 12.47 (1.55 to 100.51) and 4.33 (1.29 to 14.59), respectively. CONCLUSIONS: Increased thyroid function and elevated thyroid autoantibodies are associated with moyamoya disease and therefore monitoring of thyroid function and thyroid autoantibodies in patients with moyamoya disease is suggested, which might help to guide subsequent clinical management.

Susceptible-Infected-Removed Mathematical Model under Deep Learning in Hospital Infection Control of Novel Coronavirus Pneumonia.

Objective: This research aimed to explore the application of a mathematical model based on deep learning in hospital infection control of novel coronavirus (COVID-19) pneumonia. Methods: First, the epidemic data of Beijing, China, were utilized to make a definite susceptible-infected-removed (SIR) model fitting to determine the estimated value of the COVID-19 removal intensity ß, which was then used to do a determined SIR model and a stochastic SIR model fitting for the hospital. In addition, the reasonable ß and γ estimates of the hospital were determined, and the spread of the epidemic in hospital was simulated, to discuss the impact of basal reproductive number changes, isolation, vaccination, and so forth on COVID-19. Results: There was a certain gap between the fitting of SIR to the remover and the actual data. The fitting of the number of infections was accurate. The growth rate of the number of infections decreased after measures, such as isolation, were taken. The effect of herd immunity was achieved after the overall immunity reached 70.9%. Conclusion: The SIR model based on deep learning and the stochastic SIR fitting model were accurate in judging the development trend of the epidemic, which can provide basis and reference for hospital epidemic infection control.

Epidemiological Characteristics and Drug Resistance of Fungemia in General Hospitals from 2010 to 2019.

OBJECTIVE: This study intends to analyze the data of fungemia in a large tertiary hospital from 2010 to 2019, and is aimed at understanding its epidemic characteristics and drug resistance. METHODS: The "Hospital Infection Real-Time Monitoring System" was used to retrieve the case information of patients who were hospitalized for more than 48 hours from 2010 to 2019. The questionnaire was designed to collect patients' basic information, infection situation, drug resistance, and other related information. Statistical software was used for analysis. RESULTS: The fungi detection rate was in the range of 0.19%~0.75% in ten years, the average rate was 0.29%, and the rate 0.2%~0.3% since 2013, which was lower than that from 2010 to 2012. Non-Candida albicans was the main fungus, accounting for 62.50%. The drug resistance of non-C. albicans was higher than that of C. albicans, among which C. glabrata had the highest resistance rate. Data analysis showed that the patients with more serious basic diseases, combined with infection of other sites, surgery, long hospital stay, combination of antibiotics, and invasive catheterization, were more likely to occur fungemia. CONCLUSION: We should pay more attention to the patients with high-risk factors of fungemia and focus on the drug resistance of non-C. albicans, choose the right antifungal drugs, so as to improve the level of diagnosis and treatment.

Investigation and control of an outbreak of urinary tract infections caused by Burkholderia cepacian-contaminated anesthetic gel.

BACKGROUND: This report describes an outbreak of 71 patients developed B. cepacia urinary tract infection (UTI) by contaminated single-use anesthetic gel. METHODS: Epidemiological investigation of patients with B. cepacia-positive urine or blood samples between March 19, 2018 and Novemeber 15, 2018 was conducted to identify the source of infection. Microbiological samples from hospital surfaces, endoscopes, disposable items, and the hands of staff were tested for B. cepacia contamination. Pulsed-field gel electrophoresis (PFGE) was used to compare homology in B. cepacia isolates. RESULTS: During the outbreak, nosocomial B. cepacia UTI was confirmed in 71 patients. Epidemiological investigation showed that 66 patients underwent invasive urological diagnosis and treatment, while the remaining five patients underwent bedside indwelling catheterization, with all patients exposed to single-use anesthetic gel. All batches of anesthetic gel were recalled and the outbreak abated. Overall, 155 samples were collected from environmental surfaces and disposable items, and B. cepacia contamination was confirmed in samples from one used cystoscope and three anesthetic gels from the same batch. PFGE showed homology between 17 out of 20 B. cepacia isolates from patients and three isolates from the contaminated anesthetic gel. All patients achieved cure. CONCLUSION: Contaminated single-use anesthetic gel was confirmed as the source of the B. cepacia outbreak, with infection occurring during invasive urological diagnostic and treatments. Thus, investigations of nosocomial outbreaks of B. cepacia infection should consider contamination of diagnostic and treatment items used in infected patients.

Estimating length of stay and inpatient charges attributable to hospital-acquired bloodstream infections.

BACKGROUND: Hospital-acquired bloodstream infection (BSI) is associated with high morbidity and mortality and increases patients' length of stay (LOS) and hospital charges. Our goals were to calculate LOS and charges attributable to BSI and compare results among different models. METHODS: A retrospective observational cohort study was conducted in 2017 in a large general hospital, in Beijing. Using patient-level data, we compared the attributable LOS and charges of BSI with three models: 1) conventional non-matching, 2) propensity score matching controlling for the impact of potential confounding variables, and 3) risk set matching controlling for time-varying covariates and matching based on propensity score and infection time. RESULTS: The study included 118,600 patient admissions, 557 (0.47%) with BSI. Six hundred fourteen microorganisms were cultured from patients with BSI. Escherichia coli was the most common bacteria (106, 17.26%). Among multi-drug resistant bacteria, carbapenem-resistant Acinetobacter baumannii (CRAB) was the most common (42, 38.53%). In the conventional non-matching model, the excess LOS and charges associated with BSI were 25.06 days (P < 0.05) and US$22041.73 (P < 0.05), respectively. After matching, the mean LOS and charges attributable to BSI both decreased. When infection time was incorporated into the risk set matching model, the excess LOS and charges were 16.86 days (P < 0.05) and US$15909.21 (P < 0.05), respectively. CONCLUSION: This is the first study to consider time-dependent bias in estimating excess LOS and charges attributable to BSI in a Chinese hospital setting. We found matching on infection time can reduce bias.

Clinical Features, Outcomes, and Risk Factors of Bloodstream Infections due to Stenotrophomonas maltophilia in a Tertiary-Care Hospital of China: A Retrospective Analysis.

Background. Stenotrophomonas maltophilia bacteremia (SMB) is the most perilous situation as compared to other types of S. maltophilia infection. The present study aimed to investigate the clinical features, distribution, drug resistance, and predictors of survival of SMB in a tertiary-care hospital of China. Methods. SMB that occurred in a tertiary-care hospital in Beijing, China, within 9 years (2010-2018) was investigated in a retrospective study. Demographics, incidence, commodities, drug resistance, mortality, as well as antibiotics administration were summarized according to the electronic medical records. The risk factors for survival were analyzed by Chi-square test, Kaplan-Meier curve and Cox regression. Results. A total of 76 episodes of SMB were analyzed. The overall incidence of SMB fluctuated from 3.4 to 15.4 episodes per 1000 admissions over 9 years. Malignancy was the most common comorbidity. High in vitro sensitivity was observed to minocycline (96.1%), levofloxacin (81.6%), and trimethoprim-sulfamethoxazole (89.5%). Central venous catheter (CVC) (p = 0.004), mechanical ventilation (MV) (p = 0.006), hemodialysis (p = 0.024), and septic shock (p = 0.016) were significantly different between survival and death group. The 30-day mortality was 34.2% within 30 days after confirmation of blood culture. Factors such as hemodialysis (OR 0.287, 95% CI: 0.084-0.977, p = 0.046), T-tube (OR 0.160, 95% CI: 0.029-0.881, p = 0.035), and septic shock (OR 0.234, 95% CI: 0.076-0.719, p = 0.011) were associated with survival. Conclusions. S. maltophilia is the major nosocomial blood stream infectious pathogenic bacteria. Trimethoprim-sulfamethoxazole and minocycline are optimal antibiotics for the treatment of SMB. T-tube, hemodialysis, and septic shock were the risk factors associated with survival of SMB patients.

Bloodstream Infection and Its Clinical Characteristics and Relevant Factors Associated with Interventional Therapy in a Large Tertiary Hospital: A Six Years Surveillance Study.

BACKGROUND: Interventional therapy has been widely used in the medical field as its advantages of minimally invasive, safe and quick recovery. Bloodstream infection (BSI) is the most common healthcare-associated infections (HAIs) after interventional therapy, but there are few reports about it. This study intends to analyze the clinical characteristics and relevant factors of BSI after six years of interventional therapy in a large tertiary teaching hospital, in order to provide guidances for the prevention and control of BSI after interventional operations. METHODS: The case information of patients with BSI after interventional therapy from 2013 to 2018 were collected through the "real-time monitoring system of healthcare-associated infections". All BSI was determined by the infection control full-time staff and clinicians. Questionnaires were designed to review case by case and register the relevant patient information into a database. A total of 18 relevant factors were counted. Statistical software was used for analysis. RESULTS: 174 cases of BSI occurred in 25401 patients, the incidence was 0.69%, and BSI accounted for 50% of all infected sites. Gram-positive bacteria accounted for 56.05%, coagulase-negative Staphylococcus was the main infectious bacteria. Relevant risk factor analysis showed that hepatocellular carcinoma, had undergone surgery, biliary complications, prophylactic antibiotic, replacement of antibiotics, number of interventional operations, days of prophylactic antibiotic use were the related risk factors associated with BSI (P < 0.05). Multivariate analysis showed that days of prophylactic antibiotic use (OR = 1.586, P < 0.05) and replacement of antibiotics (OR = 13.349, P < 0.05) were the main risk factors associated with the development of BSI. CONCLUSIONS: BSI is the main infection site after interventional surgery. For patients with the risk factors as hepatocellular carcinoma/biliary complications/had undergone surgery etc., the time of prophylactic antibiotic use can be prolonged properly before interventional surgery, and selection of single antibiotic appropriate for use could significantly aid preventive measures to avoid occurrence of BSI.

Incidence of healthcare-associated infections in a tertiary hospital in Beijing, China: results from a real-time surveillance system.

Background: To quantify the five year incidence trend of all healthcare-associated infections (HAI) using a real-time HAI electronic surveillance system in a tertiary hospital in Beijing, China. Methods: The real-time surveillance system scans the hospital's electronic databases related to HAI (e.g. microbiological reports and antibiotics administration) to identify HAI cases. We conducted retrospective secondary analyses of the data exported from the surveillance system for inpatients with all types of HAIs from January 1st 2013 to December 31st 2017. Incidence of HAI is defined as the number of HAIs per 1000 patient-days. We modeled the incidence data using negative binomial regression. Results: In total, 23361 HAI cases were identified from 633990 patients, spanning 6242375 patient-days during the 5-year period. Overall, the adjusted five-year HAI incidence rate had a marginal reduction from 2013 (4.10 per 1000 patient days) to 2017 (3.62 per 1000 patient days). The incidence of respiratory tract infection decreased significantly. However, the incidence rate of bloodstream infections and surgical site infection increased significantly. Respiratory tract infection (43.80%) accounted for the most substantial proportion of HAIs, followed by bloodstream infections (15.74%), and urinary tract infection (12.69%). A summer peak in HAIs was detected among adult and elderly patients. Conclusions: This study shows how continuous electronic incidence surveillance based on existing hospital electronic databases can provide a practical means of measuring hospital-wide HAI incidence. The estimated incidence trends demonstrate the necessity for improved infection control measures related to bloodstream infections, ventilator-associated pneumonia, non-intensive care patients, and non-device-associated HAIs, especially during summer months.

Prospective investigation of carbapenem-resistant Klebsiella pneumonia transmission among the staff, environment and patients in five major intensive care units, Beijing.

BACKGROUND: Following the alarming outbreak of carbapenem-resistant Klebsiella pneumonia (CRKP) in five intensive care units (ICUs) of a tertiary care hospital in China, a prospective investigation of CRKP colonized/infected patients was conducted. AIM: To describe the diffusion and transmission of CRKP among epidemiologically linked ICU patients, staff and environment. METHODS: Enhanced CRKP infected/colonized case monitoring was performed by the real-time nosocomial infection surveillance system (RT-NISS). The immediate surroundings of each CRKP patient bed unit and the staff hands/gloves/gowns were sampled and then evaluated for the presence of CRKP. Antimicrobial susceptibility tests, pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing (WGS) were used to identify and to characterize these isolates. FINDINGS: Among 2750 patients monitored, 67 CRKP patients were newly labeled and 11 patients' CRKP isolates were available. A total of 31.34% (21/67) bed units were positive at one or more surrounding surfaces, 7.99% (49/613) environmental samples and 3.57% (4/112) ICU staff samples were CRKP positive. The selected CRKP isolates (N = 64) exhibited intermediate to high resistance levels to the antibiotics tested apart from colistin and tigecycline. RT-NISS data combined with MLST and PFGE revealed nine likely transmission clusters. WGS analysis of these CRKP isolates revealed extensive sharing of multiple antimicrobial resistance genes and plasmid replicons among these isolates. Two carbapenemase genes blaKPC-2 (62/64) and blaOXA-48 (2/64) were identified. These CRKP isolates carried one or more plasmid replicons. CONCLUSIONS: The contamination of ICU environment and staff's hands, gloves or gowns is frequent with CRKP patients. Our study also supports the hypothesis that an association between environmental contamination and transmission of CRKP bacteria in ICUs.

The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management.

The magnitude and scope of the healthcare-associated infections (HCAIs) burden are underestimated worldwide, and have raised public concerns for their adverse effect on patient safety. In China, HCAIs still present an unneglected challenge and economic burden in recent decades. With the purpose of reducing the HCAI prevalence and enhancing precision management, China's National Nosocomial Infection Management and Quality Control Center (NNIMQCC) had developed a Minimum Data Set (MDS) and corresponding Quality Indicators (QIs) for establishing national HCAI surveillance system, the data elements of which were repeatedly discussed, investigated, and confirmed by consensus of the expert team. The total number of data elements in MDS and QIs were 70 and 64, and they were both classified into seven categorical items. The NNIMQCC also had started two pilot projects to inspect the applicability, feasibility, and reliability of MDS. After years of hard work, more than 400 health facilities in 14 provinces have realized the importance of HCAI surveillance and contributed to developing an ability of exporting automatically standardized data to meet the requirement of MDS and participate in the regional surveillance system. Generally, the emergence of MDS and QIs in China indicates the beginning of the national HCAI surveillance based on information technology and computerized process data. The establishment of MDS aimed to use electronic health process data to ensure the data accuracy and comparability and to provide instructive and ongoing QIs to estimate and monitor the burden of HCAIs, and to evaluate the effects of interventions and direct health policy decision-making.