Introduction: Intensive care unit (ICU) patients are at the greatest risk of acquiring nosocomial infections, partly because of their serious underlying disease, but also by exposure to life-saving invasive procedures. Hospital-acquired infections increase patient morbidity, increase the length of hospital stay and hospital costs, and also increases mortality rate. The basic knowledge of organisms infecting ICU patients is very important to empirically select appropriate antibiotics, so that the most likely infecting organisms are addressed. Objective: The aim of the study was to find out the etiologic agents causing infection in medical intensive care unit patients. Results In our study of 289 patients, 180 (62.3%) showed a growth of organism during the stay in ICU. The most common site of infection was the respiratory tract in 138 patients (47.8%) with 60 patients (20.8%) showing Acinetobacter baumannii.
Cross Infection ; Intensive Care Units ; Acinetobacter baumannii ; Respiration, Artificial

PURPOSE: Nosocomial infection is a major threat to the health care system and patient welfare. After the pandemic, new protocols were established in hospitals and communities to protect against the transmission of COVID-19, which may have changed the incidence of nosocomial transmission. This study was conducted to compare the incidence of nosocomial infection before and after the COVID-19 pandemic. METHODS: This was a retrospective cohort study performed on trauma patients who were admitted, from May 22, 2018 to November 22, 2021, to the largest level-1 trauma center in Shiraz, Iran (Shahid Rajaei Trauma Hospital). All the trauma patients over 15 years old admitted during the study time were included in this study. Individuals who were declared dead upon arrival were excluded. Patients were evaluated in 2 periods: before the pandemic (May 22, 2018 - February 19, 2020) and after the pandemic (February 19, 2020 - November 22, 2021). Patients were assessed based on demographic information (age, gender, length of hospital stay, and patient outcome), the occurrence of hospital infection, and the type of infection. The analysis was done using SPSS version 25. RESULTS: Overall, 60,561 patients were admitted, with a mean age of 40 years. Nosocomial infection was diagnosed in 4.00% (n = 2423) of all admitted patients. The incidence rate of post-COVID-19 hospital-acquired infections decreased by 16.28% (p < 0.001) when compared to before the pandemic; in contrast, surgical site infection (p < 0.001) and urinary tract infection (p = 0.043) were responsible for this change, while hospital-acquired pneumonia (p = 0.568) and bloodstream infection (p = 0.156) were not significantly different. Overall mortality was 1.79%, while 28.52% of all patients with nosocomial infections died. During the pandemic, there was a 25.78% increase (p < 0.001) in the overall incidence rate of mortality, which was also observed among patients with nosocomial infections (17.84%). CONCLUSION The incidence of nosocomial infection has decreased during the pandemic, possibly due to the use of more personal protective equipment and modified protocols after the outbreak. This also explains the difference in the change in incidence rates of nosocomial infection subtypes.
Humans ; Adult ; Adolescent ; Cross Infection/prevention & control* ; Incidence ; Retrospective Studies ; COVID-19/epidemiology* ; Pandemics/prevention & control* ; Prospective Studies ; Infection Control

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

OBJECTIVE: To explore the clinical characteristics of nosocomial infection in newly diagnosed multiple myeloma(NDMM) patients, and establish a predictive nomogram model. METHODS: The clinical data of 164 patients with MM who were treated in Shanxi Bethune Hospital from January 2017 to December 2021 were retrospectively analyzed. The clinical characteristics of infection were analyzed. Infections were grouped as microbiologically defined infections and clinically defined infections. Univariate and multivariate regression models were used to analyze the risk factors of infection. A nomogram was established. RESULTS: 164 patients with NDMM were included in this study, and 122 patients (74.4%) were infected. The incidence of clinically defined infection was the highest (89 cases, 73.0%), followed by microbial infection (33 cases, 27.0%). Among 122 cases of infection, 89 cases (73.0%) had CTCAE grade 3 or above. The most common site of infection was lower respiratory in 52 cases (39.4%), upper respiratory tract in 45 cases (34.1%), and urinary system in 13 cases (9.8%). Bacteria(73.1%) were the main pathogens of infection. Univariate analysis showed that ECOG ≥2, ISS stage Ⅲ, C-reactive protein ≥10 mg/L, serum Creatinine ≥177 μmol/L had higher correlation with nosocomial infection in patients with NDMM. Multivariate regression analysis showed that C-reactive protein ≥10 mg/L (P＜0.001), ECOG ≥2 (P=0.011) and ISS stage Ⅲ （P=0.024） were independent risk factors for infection in patients with NDMM. The nomogram model established based on this has good accuracy and discrimination. The C-index of the nomogram was 0.779（95%CI: 0.682-0.875）. Median follow-up time was 17.5 months, the median OS of the two groups was not reached (P=0.285). CONCLUSION Patients with NDMM are prone to bacterial infection during hospitalization. C-reactive protein ≥10 mg/L, ECOG ≥2 and ISS stage Ⅲ are the risk factors of nosocomial infection in NDMM patients. The nomogram prediction model established based on this has great prediction value.
Humans ; Nomograms ; Multiple Myeloma/metabolism* ; Prognosis ; Retrospective Studies ; Cross Infection ; C-Reactive Protein

OBJECTIVES: Staphylococcus epidermidis (S. epidermidis) is a Gram-positive opportunistic pathogen that often causes hospital infections. With the abuse of antibiotics, the resistance of S. epidermidis gradually increases, and drug repurposing has become a research hotspot in the treating of refractory drug-resistant bacterial infections. This study aims to study the antimicrobial and antibiofilm effects of simeprevir, an antiviral hepatitis drug, on S. epidermidis in vitro. METHODS: The micro-dilution assay was used to determine the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of simeprevir against S. epidermidis. Crystal violet staining assay was used to detect the biofilm inhibitory effect of simeprevir. The antimicrobial activity of simeprevir against S. epidermidis and its biofilm were explored by SYTO9/PI fluorescent staining. The combined effect between simeprevir and gentamycin was assessed by checkerboard assay and was confirmed by time-inhibition assay. RESULTS: Simeprevir showed significant antimicrobial effects against S. epidermidis type strains and clinical isolates with the MIC and MBC at 2-16 μg/mL and 4-32 μg/mL, respectively. The antimicrobial effects of simeprevir were confirmed by SYTO9/PI staining. Simeprevir at MIC could significantly inhibit and break the biofilm on cover slides. Similarly, simeprevir also significantly inhibit the biofilm formation on the surface of urine catheters either in TSB [from (0.700±0.020) to (0.050±0.004)] (t=54.03, P<0.001), or horse serum [from (1.00±0.02) to (0.13±0.01)] (t=82.78, P<0.001). Synergistic antimicrobial effect was found between simeprevir and gentamycin against S. epidermidis with the fractional inhibitory concentration index of 0.5. CONCLUSIONS Simeprevir shows antimicrobial effect and anti-biofilm activities against S. epidermidis.
Humans ; Simeprevir ; Antiviral Agents ; Anti-Bacterial Agents/pharmacology* ; Cross Infection ; Gentamicins

Humans ; Bacteremia ; Cross Infection ; Methicillin-Resistant Staphylococcus aureus ; Retrospective Studies ; Sepsis ; Staphylococcal Infections/epidemiology* ; Staphylococcus aureus ; Tertiary Care Centers ; China

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-associated infection(HAI)based on deep learning. Methods We carried out a retrospective study based on two randomized controlled trials(NCT02715076,ChiCTR-IPR-17011099).The patients who underwent elective radical resection of advanced digestive system tumor were included in this study.The primary outcome was HAI within 30 days after surgery.Logistic regression analysis and long short-term memory(LSTM)model based on iteratively occluding sections of the input were used for feature selection.The risk prediction model for postoperative HAI was developed based on deep learning,combining the selected pre/intraoperative risk factors and intraoperative vital signs,and was evaluated by comparison with other models.Finally,we adopted the simulated annealing algorithm to simulatively adjust the vital signs during surgery,trying to explore the adjustment system that can reduce the risk of HAI. Results A total of 839 patients were included in this study,of which 112(13.3%)developed HAI within 30 days after surgery.The selected pre/intraoperative risk factors included neoadjuvant chemotherapy,parenteral nutrition,esophagectomy,gastrectomy,colorectal resection,pancreatoduodenectomy,hepatic resection,intraoperative blood loss>500 ml,and anesthesia time>4 h.The intraoperative vital signs significantly associated with HAI were in an order of heart rate>core body temperature>systolic blood pressure>diastolic blood pressure.Compared with multivariable Logistic regression model,random forest model,and LSTM model including vital signs only,this deep learning-based prediction model performed best(ACC=0.733,F1=0.237,AUC=0.728).The simulation via simulated annealing algorithm reduced the incidence of postoperative HAI.Moreover,the incidence decreased most in the case of reducing the initial annealing temperature and choosing the last 20% of surgery procedure. Conclusions This study developed a risk prediction model for postoperative HAI based on deep learning,which combined pre/intraoperative risk factors and intraoperative basic vital signs.Using simulated annealing algorithm to adjust intraoperative vital signs could reduce the incidence of postoperative HAI to some extent.
Cross Infection ; Deep Learning ; Delivery of Health Care ; Humans ; Postoperative Period ; Retrospective Studies

OBJECTIVE: To explore the characteristics of infection in patients with myelodysplastic syndromes (MDS), risk factors of serious infection, and their correlation with curative effect. METHODS: The clinical data of 92 newly diagnosed MDS patients with nosocomial infection from January 2016 to June 2020 in our hospital were retrospectively analyzed. RESULTS: A total of 306 courses of treatment were completed in 92 newly diagnosed MDS patients. The infection rate was the highest in the first course of treatment (84.8%, 78/92), and then decreased gradually. The top three infection sites were lung, upper respiratory tract, and gastrointestinal tract. A total of 90 strains of pathogenic bacteria were detected, of which 33.4% (30/90) were gram-negative bacilli, 23.3% (21/90) were gram-positive cocci, 23.3% (21/90) were fungi, and 20.0% (18/90) were viruses. The serious infection rate among 92 patients with MDS was 22.8% (21/92). Multivariate analysis showed that neutrophil deficiency>7 days (OR=10.875, 95%CI: 2.747-43.051, P=0.001) was an independent risk factor for serious infection in MDS patients. Compared with non-severe infection group, the total effective rate of severe infection group was lower (90.9% vs 63.6%, χ²=4.393, P<0.05). CONCLUSION The infection rate of MDS patients is high in the first course of treatment, and the most common infection site is the lung. Gram-negative bacteria is the most common pathogen. MDS patients with neutrophil deficiency>7 days have a high risk of serious infection and poor efficacy.
Cross Infection ; Gram-Negative Bacteria ; Humans ; Myelodysplastic Syndromes ; Retrospective Studies ; Risk Factors

Aims: This study was aimed to identify the risk factors for the acquisition of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli and Klebsiella pneumoniae on non-ventilator hospital-acquired pneumonia (NV-HAP) patients in a tertiary care hospital in Indonesia. Methodology and results: A case-control study was performed between March 31, 2018, and August 31, 2019. Twenty-eight ESBL-producing E. coli and K. pneumoniae isolates and 28 susceptible strains of E. coli and K. pneumoniae obtained from NV-HAP patients were included in this study. Phenotypic screening for ESBL production was performed by the Vitek2 system and subsequently confirmed by double-disk synergy tests. The use of 3rd generation cephalosporin as initial antibiotic therapy for more than three days was the significant risk factor for the acquisition of ESBL-producing E. coli and K. pneumoniae among NV-HAP patients (odds ratio [OR] 41.827; p=0.001). The length of stay of patients with NV-HAP acquiring the ESBL strains was longer than 10 days (OR 17.334; p=0.001). Conclusion, significance and impact of study The use of 3rd generation cephalosporin as the initial antibiotic for NV-HAP should be restricted to prevent the emergence of ESBL-producing strains. Infection prevention measures are required to control the acquisition of ESBL-producing E. coli and K. pneumoniae in NV-HAP patients.
beta-Lactamases ; Escherichia coli ; Klebsiella pneumoniae ; Cross Infection ; Healthcare-Associated Pneumonia ; Tertiary Care Centers

Objective: To understand the risk factors and antibiotics-resistant patterns of invasive Acinetobacter baumannii infection in Children. Methods: This retrospective study was conducted in 6 tertiary hospitals from January 2016 to December 2018. The basic information, clinical data and the results of antimicrobial susceptibility testing were collected from the 98 pediatric inpatients with Acinetobacter baumannii isolated from blood or cerebrospinal fluid and analyzed. According to the susceptibility of the infected strains to carbapenems, they were divided into carbapenem-sensitive Acinetobacter baumannii (CSAB) group and carbapenem-resistant Acinetobacter baumannii (CRAB) group. According to the possible sources of infection, they were divided into nosocomial infection group and community infection group. Chi-square test or Fisher exact test were used to analyze categorical variables and rank sum test were used to analyze continuous variables. The risk factors of invasive CRAB infection in children were analyzed by Logistic regression. Result: There were 56 males and 42 females in 98 cases. The onset age of patients was 8 (2, 24) months. There were 62 cases (63%) from rural area. A total of 87 cases (89%) were confirmed with bloodstream infection, and 12 cases (12%) confirmed with meningitis (1 case was accompanied with bloodstream infection). In these patients, 66 cases (67%) received invasive medical procedures or surgery, 54 cases (55%) received carbapenems-containing therapy. Twenty-four cases were infected with CRAB, and 74 cases with CSAB. The onset age of cases in CRAB group was lower than that in CSAB group (4 (1, 9) vs. 10 (4, 24) months, Z=-2.16, P=0.031). The proportions of hospitalization in intensive care unit, carbapenem antibiotics using, pneumonia and adverse prognosis in CRAB group were higher than those in CSAB group (6 cases (25%) vs. 4 cases (5%), 18 cases (75%) vs. 36 cases (49%), 17 cases (71%) vs. 17 cases (23%), 6 cases (25%) vs. 4 cases (5%), χ²=5.61, 5.09, 18.32, 5.61, all P<0.05). Seventy-seven cases were nosocomial infection and 21 cases were hospital-acquired infection. The proportion of children hospitalized in high-risk wards for nosocomial infections, length of hospitalization, number of antimicrobial therapy received and duration of antimicrobial therapy were higher in the hospital associated infection group than those in the community acquired infection group (all P<0.05). Logistic regression analysis showed that children from rural area (OR=8.42, 95%CI 1.45-48.88), prior mechanical ventilation (OR=12.62, 95%CI 1.31-121.76), and prior antibiotic therapy (OR=4.90, 95%CI 1.35-17.72) were independent risk factors for CRAB infection. The resistance percentage of CSAB isolates to many classes of antibiotics was <6% except to gentamicin, which was as high as 20% (13/65). All CRAB isolates of resistant to ampicillin-sulbactam (20/20), cefepime (23/23), piperacillin (17/17), meropenem (23/23) and imipenem (24/24) were 100%. The resistance percentage to other antibiotics were up to 42%-96%. Conclusions: Most of invasive Acinetobacter baumannii infection in children in China are hospital-acquired. The outcome of invasive CRAB infection was poorer than that of CSAB infection. The drug resistance rate of CRAB strains isolated is high. Living in rural area, prior invasive mechanical ventilation and prior antibiotic therapy were independent risk factors for invasive CRAB infection. The prevention and control of nosocomial infection and appropriate use of antibiotics to reduce Acinetobacter baumannii infection.
Acinetobacter Infections/epidemiology* ; Acinetobacter baumannii ; Anti-Bacterial Agents/therapeutic use* ; Carbapenems/therapeutic use* ; Child ; Cross Infection/epidemiology* ; Drug Resistance, Multiple, Bacterial ; Female ; Humans ; Infant ; Male ; Microbial Sensitivity Tests ; Retrospective Studies ; Risk Factors ; Sepsis