Infections In Intensive Care Unit Research Articles

Risk factors for death in elderly patients admitted to intensive care unit after elective abdominal surgery: a consecutive 5-year retrospective study

To investigate the risk factors that were associated with the death of elderly patients who were admitted to the intensive care unit (ICU) after elective abdominal surgery, and to find reliable and sensitive predictive indicators for early interventions and reducing the mortality. A retrospective case-control study was conducted. The clinical data of elderly (age ≥ 65 years old) patients after elective abdominal surgery admitted to the ICU of the Affiliated Hospital of Guizhou Medical University from January 1st 2016 to December 31st 2020 were collected, including the patient's gender, age, body mass index (BMI), medical history, American Society of Anesthesiologists (ASA) grades, surgical classification, intraoperative blood loss, duration of operation, interval time between end of operation and admission to the ICU, acute physiology and chronic health evaluation II (APACHE II) score and the worst laboratory examination results within 24 hours of ICU admission, the first blood gas analysis in ICU, the duration of invasive mechanical ventilation, and the length of ICU stay. Postoperative abdominal infection was evaluated by the pathogenic culture of peritoneal drainage fluid and clinical symptoms and signs. The patients were divided into death group and survival group based on clinical outcomes, and clinical data were compared between the two groups. Binary multivariate Logistic regression analysis was used to screen the risk factors of death, and the receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive values of these risk factors. A total of 226 elderly patients with elective abdominal surgery were admitted to the ICU of our hospital during the past 5 years, of whom, two patients who did not undergo laboratory examinations within 24 hours of admission to the ICU were excluded. Finally, 224 patients met the criteria, with 158 survivors and 66 deaths. Univariate analysis showed that: compared with survival group, APACHE II score, blood lactate acid (Lac) and the proportion of postoperative abdominal infection were higher in death group [APACHE II score: 27.5 (25.0, 31.3) vs. 23.0 (18.0, 27.0), Lac (mmol/L): 2.9 (1.8, 6.6) vs. 1.8 (1.1, 2.8), the proportion of postoperative abdominal infection: 65.2% (43/66) vs. 35.4% (56/158), all P < 0.01], prothrombin time (PT), activated partial thromboplastin time (APTT) and interval time between end of surgery and admission to ICU were longer [PT (s): 17.20 (14.50, 18.63) vs. 14.65 (13.90, 16.23), APTT (s): 45.15 (38.68, 55.15) vs. 39.45 (36.40, 45.70), interval time between end of surgery and admission to ICU (hours): 39.2 (0.7, 128.9) vs. 0.7 (0.3, 2.0), all P < 0.01], postoperative hemoglobin (Hb), platelet count (PLT), prealbumin (PA), mean arterial pressure (MAP) and oxygenation index (PaO2/FiO2) were lower in death group [Hb (g/L): 95.79±23.64 vs. 105.58±19.82, PLT (×109/L): 138.5 (101.0, 177.5) vs. 160.5 (118.5, 232.3), PA (g/L): 80.88±43.63 vs. 116.54±50.80, MAP (mmHg, 1 mmHg = 0.133 kPa): 76.8±19.1 vs. 91.6±19.8, PaO2/FiO2 (mmHg): 180.0 (123.5, 242.5) vs. 223.5 (174.8, 310.0), all P < 0.05]. Binary multivariate Logistic regression analysis showed that APACHE II score [odds ratio (OR) = 1.187, 95% confidence interval (95%CI) = 1.008-1.294, P < 0.001], interval time between end of operation and admission to ICU (OR = 1.005, 95%CI = 1.001-1.009, P = 0.016) and postoperative abdominal infection (OR = 2.630, 95%CI = 1.148-6.024, P = 0.022) were independent risk factors for prognosis in these patients. MAP (OR = 0.978, 95%CI = 0.957-0.999, P = 0.041) and PaO2/FiO2 (OR = 0.994, 95%CI = 0.990-0.998, P = 0.003) were protective factors for the patients' prognosis. Lac, Hb, PLT, PA, PT and APTT had no predictive value for the prognosis of elderly patients admitted to ICU after elective abdominal surgery [OR value and 95%CI were 1.075 (0.945-1.223), 1.011 (0.99-1.032), 1.000 (0.995-1.005), 0.998 (0.989-1.007), 1.051 (0.927-1.192) and 1.003 (0.991-1.016), respectively, all P > 0.05. ROC curve analysis showed that APACHE II score, interval time between end of operation and admission to the ICU and the postoperative abdominal infection had certain predictive values for the prognosis of elderly patients, the area under ROC curve (AUC) were 0.755, 0.732 and 0.649 respectively, all P < 0.001; When the cut-off of APACHE II score and interval time between end of operation and admission to the ICU were 24.5 scores and 2.15 hours, the sensitivity were 78.8% and 66.7%, respectively, and the specificity were 62.0% and 76.6%, respectively. The combined predictive value of the three variables was the highest, which AUC was 0.846, the joint prediction probability was 0.27, the sensitivity was 83.3%, and the specificity was 75.3%. APACHE II score, interval time between end of surgery and admission to ICU, and postoperative abdominal infection may be independent risk factors for the death of elderly patients who were admitted to the ICU after elective abdominal surgery, there would be far greater predictive values when the three variables were combined.

Procalcitonin Increase Is Associated with the Development of Critical Care-Acquired Infections in COVID-19 ARDS.

Secondary bacterial infection in COVID-19 patients is associated with increased mortality and disproportionately affects critically ill patients. This single-centre retrospective observational study investigates the comparative efficacy of change in procalcitonin (PCT) and other commonly available biomarkers in revealing or predicting microbiologically proven secondary infection in critical COVID-19 patients. Adult patients admitted to an intensive care unit (ICU) with confirmed SARS-CoV-2 infection between 9 March 2020 and 5 June 2020 were recruited to the study. For daily biomarker and secondary infection, laboratory-confirmed bloodstream infection (LCBI) and ventilator-associated pneumonia/tracheobronchitis (VAP/VAT) data were collected. We observed a PCT rise in 53 (81.5%) of the patients, a C-reactive protein (CRP) rise in 55 (84.6%) and a white blood cell count (WBC) rise in 61 (93.8%). Secondary infection was confirmed in 33 (50.8%) of the patients. A PCT rise was present in 97.0% of patients with at least one confirmed VAP/VAT and/or LCBI event. CRP and WBC rises occurred in 93.9% and 97.0% of patients with confirmed VAP/VAT and/or LCBI, respectively. Logistic regression analysis found that, when including all biomarkers in the same model, there was a significant association between PCT rise and the occurrence of LCBI and/or VAP/VAT (OR = 14.86 95%CI: 2.20, 342.53; p = 0.021). Conversely, no statistically significant relationship was found between either a CRP rise (p = 0.167) or a WBC rise (p = 0.855) and the occurrence of VAP/VAT and/or LCBI. These findings provide a promising insight into the usefulness of PCT measurement in predicting the emergence of secondary bacterial infection in ICU.

Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units

BackgroundClinical metagenomics (CMg) has the potential to be translated from a research tool into routine service to improve antimicrobial treatment and infection control decisions. The SARS-CoV-2 pandemic provides added impetus to realise these benefits, given the increased risk of secondary infection and nosocomial transmission of multi-drug-resistant (MDR) pathogens linked with the expansion of critical care capacity.MethodsCMg using nanopore sequencing was evaluated in a proof-of-concept study on 43 respiratory samples from 34 intubated patients across seven intensive care units (ICUs) over a 9-week period during the first COVID-19 pandemic wave.ResultsAn 8-h CMg workflow was 92% sensitive (95% CI, 75–99%) and 82% specific (95% CI, 57–96%) for bacterial identification based on culture-positive and culture-negative samples, respectively. CMg sequencing reported the presence or absence of β-lactam-resistant genes carried by Enterobacterales that would modify the initial guideline-recommended antibiotics in every case. CMg was also 100% concordant with quantitative PCR for detecting Aspergillus fumigatus from 4 positive and 39 negative samples. Molecular typing using 24-h sequencing data identified an MDR-K. pneumoniae ST307 outbreak involving 4 patients and an MDR-C. striatum outbreak involving 14 patients across three ICUs.ConclusionCMg testing provides accurate pathogen detection and antibiotic resistance prediction in a same-day laboratory workflow, with assembled genomes available the next day for genomic surveillance. The provision of this technology in a service setting could fundamentally change the multi-disciplinary team approach to managing ICU infections. The potential to improve the initial targeted treatment and rapidly detect unsuspected outbreaks of MDR-pathogens justifies further expedited clinical assessment of CMg.

Implementation of the ABCDEF Bundle for Critically Ill ICU Patients During the COVID-19 Pandemic: A Multi-National 1-Day Point Prevalence Study.

Background: Data regarding delivery of evidence-based care to critically ill patients in Intensive Care Units (ICU) during the COVID-19 pandemic is crucial but lacking. This study aimed to evaluate the implementation rate of the ABCDEF bundle, which is a collection of six evidence-based ICU care initiatives which are strongly recommended to be incorporated into clinical practice, and ICU diaries for patients with and without COVID-19 infections in ICUs, and to analyze the impact of COVID-19 on implementation of each element of the bundle and independent associated factors.Methods: A world-wide 1-day point prevalence study investigated the delivery of the ABCDEF bundle and ICU diary to patients without or with COVID-19 infections on 27 January 2021 via an online questionnaire. Multivariable logistic regression analysis with adjustment for patient demographics evaluated the impact of COVID-19 and identified factors in ICU administrative structures and policies independently associated with delivery.Results: From 54 countries and 135 ICUs, 1,229 patients were eligible, and 607 (49%) had COVID-19 infections. Implementation rates were: entire bundle (without COVID-19: 0% and with COVID-19: 1%), Element A (regular pain assessment: 64 and 55%), Element B (both spontaneous awakening and breathing trials: 17 and 10%), Element C (regular sedation assessment: 45 and 61%), Element D (regular delirium assessment: 39 and 35%), Element E (exercise: 22 and 25%), Element F (family engagement/empowerment: 16 and 30%), and ICU diary (17 and 21%). The presence of COVID-19 was not associated with failure to implement individual elements. Independently associated factors for each element in common between the two groups included presence of a specific written protocol, application of a target/goal, and tele-ICU management. A lower income status country and a 3:1 nurse-patient ratio were significantly associated with non-implementation of elements A, C, and D, while a lower income status country was also associated with implementation of element F.Conclusions: Regardless of COVID-19 infection status, implementation rates for the ABCDEF bundle, for each element individually and an ICU diary were extremely low for patients without and with COVID-19 infections during the pandemic. Strategies to facilitate implementation of and adherence to the complete ABCDEF bundle should be optimized and addressed based on unit-specific barriers and facilitators.

Effectiveness of air purifiers in intensive care units: an intervention study

Effective design and operation of intensive care unit (ICU) ventilation systems is important to prevent hospital-acquired infections. Air purifiers may contribute. To detect the number and types of micro-organisms present in the air and on high-touch surfaces in ICUs, and to evaluate the effectiveness of air purifiers in reducing the microbial load and thus the rate of nosocomial infections in ICUs. This intervention study was conducted in two similar ICUs between May to November 2020. Novaerus air purifiers were located in the intervention ICU for 2 months. Routine cleaning procedures and high-efficiency particulate air filtration continued in the control ICU as well as in the intervention ICU. After 2 months, the air purifiers were moved to the other ICU for the next 2 months to reduce any possible bias in the results. Air and surface samples were evaluated. Evaluation of changes in the intervention ICU over time revealed a significantly lower colony concentration in the air and on surfaces on Day 60 compared with Day 1 (Pair<0.001 and Psurface<0.001). There was a significant positive correlation between the number of colonies detected and the rate of hospital-acquired infections in the intervention ICU (r=0.406, P=0.049) and in the control ICU (r=0.698, P=0.001). Using air purifiers in addition to heating, ventilation and air conditioning systems in hospitals may be an effective way to reduce the microbial load in the air and on surfaces, and thus hospital-acquired infections.

Bacteriological Profile in Septicaemic Patients with Elevated C-reactive Protein in Intensive Care Units at A Tertiary Care Hospital

Sepsis, the second leading cause of death is due to infections. Intensive care units (ICUs) are having the highest burden of treating the patients with sepsis and nosocomial infections compared to other areas of hospitals. Our objective was to identify the bacteriological profile and their antibiogram of sepsis cases in all ICUs. A sum of 102 blood samples were collected from patients with clinically suspected sepsis with elevated CRP. Processed by an automated method using Bact/Alert &amp; growth were identified by Standard guidelines. Out of 102 samples, 54 (53%) were shown positive by culture. Gram-negative bacilli were the predominant and their number were 33 (61.1% ) and the commonest organisms were from the Enterobacteriaceae family. Escherichia coli was the highest number with 15 (27.7%) followed by Klebsiella pneumoniae 10 (18.51%), &amp; the rest were single isolates of Salmonella typhi, Proteus mirabilis and Citrobacter koseri. Nonfermenter isolated were Acinetobacter baumanii 3 (5.6%), Pseudomonas aeruginosa 2 (3.7%). The Gram-positive cocci were 17 &amp; 32.4% of culture positivity. Coagulase-negative Staphylococcus was the highest isolated accounting for 9 (16.6%) followed by Staphylococcus aureus 6 (11.1%) and Enterococcus faecalis (3.7%). Culture positivity will be more when CRP is also included in the selection of samples for sepsis and Gram-negative bacilli are the leading cause in septicemia and organisms belonging to the Enterobacteriaceae family still dominate in septicemia infections in ICUs and a real challenge for treatment are MDRs which needs to be detected regularly by using screening tests.

The Correlation of Transaminase Enzymes on the Prognosis of Covid-19 Patients in the ICU Infection Center Dr. Wahidin Sudirohusodo General Hospital Makassar

Corona Virus Disease 2019 (COVID-19) is an infectious disease that has been designated as a worldwide pandemic. Symptoms of Covid-19 are not only respiratory symptoms but also extrapulmonary symptoms, including the discovery of impaired liver function in the form of increased transaminase enzymes. Therefore, this study was conducted to see the correlation of transaminase enzymes with the prognosis of COVID-19 patients treated in the Intensive Care Unit (ICU) Dr. Wahidin Sudirohusodo Hospital. The study was conducted on June to August 2021. The cross-sectional analytical research method used retrospective medical record data for the period from July to December 2020 with a sample of 137 patients with COVID-19 confirmed. From the results of the Pearson test, patients with increased SGOT were associated with a mortality prognosis (p=0.000, p&lt;0.05) with a correlation coefficient (r) of -0.383 and an increase in SGPT were associated with a mortality prognosis (p=0.013, p&lt;0.05) with a correlation coefficient (r) of -0.211. From the results of the Kruskal Wallis test, there were differences in prognosis in patients with increased SGOT and SGPT grades 1,2,3, and 4 (p = 0.000 and p = 0.028). There is a correlation between the increased transaminase enzymes with the prognosis of the patient's mortality. Patients with severe elevated SGOT and SGPT enzymes had a greater prognosis of mortality than those with mild enzyme elevations. Extrapulmonary symptoms of stroke were associated with increased SGOT and myocardial infarction symptoms, and nephropathy was associated with increased SGOT and SGPT. Comorbid coronary artery disease and hepatitis were associated with increased SGOT and SGPT.

Association between mortality and highly antimicrobial-resistant bacteria in intensive care unit-acquired pneumonia

Data on the relationship between antimicrobial resistance and mortality remain scarce, and this relationship needs to be investigated in intensive care units (ICUs). The aim of this study was to compare the ICU mortality rates between patients with ICU-acquired pneumonia due to highly antimicrobial-resistant (HAMR) bacteria and those with ICU-acquired pneumonia due to non-HAMR bacteria. We conducted a multicenter, retrospective cohort study using the French National Surveillance Network for Healthcare Associated Infection in ICUs (“REA-Raisin”) database, gathering data from 200 ICUs from January 2007 to December 2016. We assessed all adult patients who were hospitalized for at least 48 h and presented with ICU-acquired pneumonia caused by S. aureus, Enterobacteriaceae, P. aeruginosa, or A. baumannii. The association between pneumonia caused by HAMR bacteria and ICU mortality was analyzed using the whole sample and using a 1:2 matched sample. Among the 18,497 patients with at least one documented case of ICU-acquired pneumonia caused by S. aureus, Enterobacteriaceae, P. aeruginosa, or A. baumannii, 3081 (16.4%) had HAMR bacteria. The HAMR group was associated with increased ICU mortality (40.3% vs. 30%, odds ratio (OR) 95%, CI 1.57 [1.45–1.70], P < 0.001). This association was confirmed in the matched sample (3006 HAMR and 5640 non-HAMR, OR 95%, CI 1.39 [1.27–1.52], P < 0.001) and after adjusting for confounding factors (OR ranged from 1.34 to 1.39, all P < 0.001). Our findings suggest that ICU-acquired pneumonia due to HAMR bacteria is associated with an increased ICU mortality rate, ICU length of stay, and mechanical ventilation duration.

Clinical characteristics and risk factors for death in patients with Candida bloodstream infection in Intensive Care Unit.

To analyze the distribution of pathogens and risk factors of mortality in Candida bloodstream infection patients in Intensive Care Unit (ICU). The clinical data, infection relevant indexes, and prognosis of patients with Candida bloodstream infection in ICU of Xiangya Hospital of Central South University from January 2016 to December 2020 were retrospectively collected. The distribution of pathogenic bacteria and clinical characteristics of patients with Candida bloodstream infection were analyzed. The patients were assigned into a death group and a survival group according to their survival status, and single factor analysis and logistic regression analysis were used to analyze risk factors for death. A total of 80 patients with Candida bloodstream infection were enrolled, with the highest infection rate (36.3%) of Candidaalbicans. According to the drug sensitivity, all kinds of Candidas were wide type and relatively sensitive to amphotericin B. Candidaalbicans was highly sensitive to fluconazole, itraconazole, and voriconazole (≥96.6%), while non-Candidaalbicans were more resistant to fluconazole, itraconazole, and voriconazole. The overall mortality rate was 36.3%. Univariate analysis showed that the risk factors for the death of patients with Candida bloodstream infection were acute physiology and chronic health evaluation II (APACHE II) score≥20, diabetes mellitus, and mechanical ventilation. Logistic regression analysis showed that the APACHE II score≥20 was an independent risk factor for the death of patients with Candida bloodstream infection (OR=0.220, 95% CI 0.078 to 0.619, P=0.004). The most common strain of Candida bloodstream infection in ICU patients is Candidaalbicans. The APACHE II score≥20 is an independent risk factor for the death of patients with Candida bloodstream infection.

Genomic surveillance of antimicrobial resistant bacterial colonisation and infection in intensive care patients

BackgroundThird-generation cephalosporin-resistant Gram-negatives (3GCR-GN) and vancomycin-resistant enterococci (VRE) are common causes of multi-drug resistant healthcare-associated infections, for which gut colonisation is considered a prerequisite. However, there remains a key knowledge gap about colonisation and infection dynamics in high-risk settings such as the intensive care unit (ICU), thus hampering infection prevention efforts.MethodsWe performed a three-month prospective genomic survey of infecting and gut-colonising 3GCR-GN and VRE among patients admitted to an Australian ICU. Bacteria were isolated from rectal swabs (n = 287 and n = 103 patients ≤2 and > 2 days from admission, respectively) and diagnostic clinical specimens between Dec 2013 and March 2014. Isolates were subjected to Illumina whole-genome sequencing (n = 127 3GCR-GN, n = 41 VRE). Multi-locus sequence types (STs) and antimicrobial resistance determinants were identified from de novo assemblies. Twenty-three isolates were selected for sequencing on the Oxford Nanopore MinION device to generate completed reference genomes (one for each ST isolated from ≥2 patients). Single nucleotide variants (SNVs) were identified by read mapping and variant calling against these references.ResultsAmong 287 patients screened on admission, 17.4 and 8.4% were colonised by 3GCR-GN and VRE, respectively. Escherichia coli was the most common species (n = 36 episodes, 58.1%) and the most common cause of 3GCR-GN infection. Only two VRE infections were identified. The rate of infection among patients colonised with E. coli was low, but higher than those who were not colonised on admission (n = 2/33, 6% vs n = 4/254, 2%, respectively, p = 0.3). While few patients were colonised with 3GCR- Klebsiella pneumoniae or Pseudomonas aeruginosa on admission (n = 4), all such patients developed infections with the colonising strain. Genomic analyses revealed 10 putative nosocomial transmission clusters (≤20 SNVs for 3GCR-GN, ≤3 SNVs for VRE): four VRE, six 3GCR-GN, with epidemiologically linked clusters accounting for 21 and 6% of episodes, respectively (OR 4.3, p = 0.02).Conclusions3GCR-E. coli and VRE were the most common gut colonisers. E. coli was the most common cause of 3GCR-GN infection, but other 3GCR-GN species showed greater risk for infection in colonised patients. Larger studies are warranted to elucidate the relative risks of different colonisers and guide the use of screening in ICU infection control.

Molecular typing, virulence traits and risk factors of pandrug-resistant Acinetobacter baumannii spread in intensive care unit centers of Baghdad city, Iraq

Objective: The virulence traits of pandrug-resistant (PDR) Acinetobacter baumannii strains have not been fully disclosed. Our aim was the assessment of PDR-A. baumannii (PDR-AB) virulence traits and risk factors in the intensive care unit (ICU), Baghdad, Iraq. Methods: Among 689 samples, 200 of them were identified as A. baumannii. In the disk diffusion test, 150 of them were PDR-AB. The virulence factors and antibiotic resistance genes were screened using the polymerase chain reaction (PCR) technique. Pulsed-field gel electrophoresis (PFGE) was performed for genetic typing of strains. Results: The age range >55 years (141/150, P < 0.0001), previous hospitalization (133/150, P < 0.001) and consumption of antibiotics (149/150, P < 0.0001), diabetes (122/150, P < 0.001) and prior contact to domestic animals (111/150, P = 0.00109) were significant risk factors associated with isolation of PDR-AB. PDR-AB from wound infections harbored the fimH, afa/draBC, csgA,cnf2, ibeA, cvaC, iutA, papC, traT, PAI, kpsMII, PapGII and papGIII. PFGE results outlined no clonal spread. Major drug resistance genes included blaOXA-23-like (100%), blaOXA-24-like (98%), tetA (98%), tetB (96%), dfrA (91%), sul1(75%), blaOXA-58-like (76%), blaOXA-51-like (76%) and aadA1 (76%). The fyuA gene was significantly (P = 0.039) higher in non-PDR-AB. Conclusion: A. baumannii with a high rate of virulence factors were detected among wound infections in ICU. In addition, the strains exhibited no genetic relation in the PFGE method. Risk factors of the high incidence of PDR-AB in Baghdad prior hospitalization and consumption of antibiotics, diabetes and contact with domestic animals. Therefore, there is a demand for control of PDR and virulent strains spread in healthcare settings.

Asymmetric Effects of Decontamination Using Topical Antibiotics for the ICU Patient

There are several antiseptic, antibiotic and non-decontamination-based interventions for preventing intensive care unit (ICU) acquired infection. These have been evaluated in &gt;200 studies. Infection prevention using topical antibiotic prophylaxis (TAP) appears to be the most effective. Whether antibiotic use in the ICU may influence the risk of infection among concurrent control patients within the same ICU and result in asymmetrical herd effects cannot be resolved with individual studies examined in isolation. The collective observations within control and intervention groups from numerous ICU infection prevention studies simulates a multi-center natural experiment enabling the herd effects of antibiotics to be evaluated. Among the TAP control groups, the incidences for both ventilator associated pneumonia (VAP) and mortality are unusually high in comparison to literature-derived benchmarks. Paradoxically, amongst the TAP intervention groups, the incidences of mortality are also unusually high and the VAP incidences are similar (i.e., not lower) compared to the incidences among studies of other interventions. By contrast, the mortality incidences among the intervention groups of other studies are similar to those among the intervention groups of TAP studies. Using topical antibiotics to prevent infections acquired within the ICU environment may result in profoundly asymmetrical effects.

Epidemiology and Microbiological Profile of Common Healthcare Associated Infections among Patients in the Intensive Care Unit of a General Hospital in Kuwait: A Retrospective Observational Study

BackgroundPatients admitted to the Intensive Care Unit (ICU) are prone to develop nosocomial infections due to Multidrug-Resistant (MDR) organisms. Inappropriate and overuse of antibiotics play an important role in the emergence of MDR organisms, which cause life-threatening infections resulting in significant morbidity and mortality.MethodsRetrospective surveillance-based study on healthcare-associated infections. The study conducted over two consecutive years 2018 and 2019, looking at ICU related infections of a regional secondary care general hospital and the data were recorded using the methods and definitions of the Kuwait National Healthcare-associated infections Surveillance System (KNHSS).ResultsA total of 1408 patients, admitted to ICU for 7922 days during the 2 years period. Eighty-nine patients were included in this study, where 48 developed one Hospital-acquired Infections (HAI) in the ICU while 25 and two patients presented with two and three HAIs, respectively. The HAIs included Bloodstream Infections (BSI) — 42.3%, pneumonia — 28.8%, Urinary Tract Infections (UTI) — 15.3%, skin and soft tissue infections — 9.6% and Clostridium difficile infection — 3.4%. The overall infection rate was 13.14 per 1000 patient-days. The rates for Device-associated (DA)-HAIs were 6.27 for Central Line-associated BSI (CLABSI) per 1000 Central Line (CL)-days, 4.21 for Ventilator-associated Pneumonia (VAP) per 1000 Mechanical Ventilator (MV)-days, and 1.91 Catheter-associated UTI (CAUTI) per 1000 Urinary Catheter (UC)-days. Data showed that device use ratios for CL, MV, and UC were 0.81, 0.74, and 0.98, respectively. Acinetobacter baumannii and Klebsiella pneumoniae were the most common organisms isolated from the ICU infections with highest rates of antibiotic resistance.ConclusionAmong DA-HAIs CLABSI was found to be most common in our ICU, followed by VAP and CAUTI. Gram-negative organisms with A. baumannii and K. pneumoniae being the leading causative agents with high antimicrobial resistance profiles.

An Outbreak of Carbapenem-Resistant Klebsiella pneumoniae in an Intensive Care Unit of a Major Teaching Hospital in Chongqing, China.

BackgroundDue to the critical condition and poor immunity of patients, the intensive care unit (ICU) has always been the main hospital source of multidrug-resistant bacteria. In recent years, with the large-scale use of antibiotics, the detection rate and mortality of carbapenem-resistant Klebsiella pneumoniae (CRKP) have gradually increased. This study explores the molecular characteristics and prevalence of CRKP isolated from the ICU ward of a tertiary hospital in China.MethodsA total of 51 non-duplicated CRKP samples isolated from the ICU were collected from July 2018–July 2020. The enzyme production of the strains was preliminarily screened by carbapenemase phenotypic test, and drug-resistant and virulence genes were detected by PCR. The transferability of plasmid was verified by conjugation test. The minimal inhibitory concentration (MIC) was determined by microbroth dilution method and genetic diversity was detected by multilocus sequence typing and pulsed-field gel electrophoresis.Results blaKPC-2 was the only carbapenemase detected. The major virulence genes were uge (100%), mrkD (94.1%), kpn (94.1%), and fim-H (72.5%), while wcag, ironB, alls and magA genes were not detected. One sequence type ST1373 strain, hypervirulent K. pneumoniae (hvKP), was detected. CRKP strains were highly resistant to quinolones, cephalosporins, aminoglycosides, and polymyxin, but susceptive to tigecycline and ceftazidime–avibactam. The success rate of conjugation was 12.2%, indicating the horizontal transfer of blaKPC-2. Homology analysis showed that there was a clonal transmission of ST11 CRKP in the ICU of our hospital.ConclusionThe present study showed the outbreak and dissemination in ICU were caused by ST11 CRKP, which were KPC-2 producers, and simultaneously, also carried some virulence genes. ST11 CRKP persisted in the ward for a long time and spread among different areas. Due to the widespread dispersal of the transferable blaKPC-2 plasmid, the hospital should promptly adopt effective surveillance and strict infection control strategies to prevent the further spread of CRKP. Ceftazidime–avibactam showed high effectiveness against CRKP and could be used for the treatment of ICU infections.

Hematolojik kanser tanısıyla yoğun bakım ünitesinde takip edilen hastaların klinik özelliklerinin ve sonuçlarının değerlendirilmesi: tek merkez deneyimi

Introduction: Patients diagnosed with hematological cancer (HC) often need intensive care during their follow-up and treatment. In this study, it was aimed to evaluate the clinical characteristics and follow-up results of patients diagnosed with HC who were followed up in the intensive care unit (ICU). Materials and methods: This is a retrospective study enrolling 77 adult HC patients requiring intensive care between February 2019 and March, 2020. Results: Thirty-eight (50.6%) patients included in the study were neutropenic and 67 patients (87%) had infection during admission to the ICU. Acute myeloid leukemia was diagnosed in 35 (45.5%) patients. Mechanical ventilation was applied to 56 (72.7%) patients on admission. In the follow-up, 32 (41.6%) patients developed ICU infection, 24 (31.2%) patients developed bacteremia. The most common pathogens were; Klebsiella pneumonia (n = 11, 14.3%) and non-fermentation bacteria (n = 13, 16.6%) were gram-negative bacilli. Overall ICU survival rate was 32.5% (n: 25). Variables predicted to affect mortality in univariate analysis; APACHE II score ≥ 25 (p <0.001), resistance to cancer treatment or relapse (p = 0.015), septic shock at hospitalization (p <0.001), need for invasive mechanical ventilation (p <0.001) and presence of hospital infection (p = 0.006) were statistically were found to be significant risk factors. As a result of the multivariate model established with these variables, it was seen that the APACHE II score was a significant predictor for mortality (ROC: 0.884). Conclusion: APACHE II score 25 and septic shock are important poor prognosis criteria. Successful treatment and long survival can be achieved by the protocols to be determined in the follow-up and treatment of HC patients in need of intensive care, supportive treatments and prevention of nosocomial infections.

Design and application of Checklist for quality control in intensive care unit

To design a Checklist for quality control in intensive care unit and observe the effect of clinical application. By consulting guidelines and literature, such as Critical care medicine professional medical quality control index (2015 edition), the quality control Checklist of intensive care unit was designed. It included four parts: quality control data collection, medical record quality verification, special diagnosis and treatment, and hospital infection prevention and control supervision. Every month, a doctor with a senior professional title served as the quality control director, and was responsible for the quality control of the department's medical care, including collecting data of the past 24 hours during the morning handover, discussing and registering special diagnosis and treatment behaviors that would be performed on the day, and coordinating with the nursing team leader, controlling the quality of the whole department throughout the day, such as supervising each medical staff if they had unreasonable behaviors, checking the running and discharge medical records, and inspecting the status of the staff on duty. The data in 2018, 2019 (Checklist implemented) and 2017 (Checklist not implemented) were retrospectively analyzed, including the status of admitted patients, department management information, length of intensive care unit (ICU) stay, and the incidence of three-tube infection [ventilator-associated pneumonia (VAP), catheter-related bloodstream infection (CRBSI), catheter-associated urinary tract infection (CAUTI)], and standardized mortality, etc. From 2017 to 2019, the number of patients admitted was 373, 446, and 480, with annual growth of 19.57% and 7.62% in 2018 and 2019, respectively, and an increase of 28.69% in 2019 compared with 2017. There was no statistically significant difference in the average age and acute physiology and chronic health evaluation II (APACHE II) of patients in the three years. Compared with 2017, the length of ICU stay of patients in 2018 and 2019 were significantly shortened (days: 8.99±6.12, 9.14±7.02 vs. 10.20±7.21), and the incidence of VAP, CRBSI and CAUTI were significantly reduced [VAP (cases/1 000 ventilation days): 12.97±3.60, 9.62±3.14 vs. 17.48±4.89, CRBSI (cases/1 000 catheter days): 3.75±2.19, 3.87±1.87 vs. 6.19±3.13, CAUTI (cases/1 000 catheter days): 3.29±2.18, 3.28±1.87 vs. 5.61±3.18]. The standardized mortality were also significantly reduced [(77.27±7.24)%, (70.61±7.49)% vs. (84.41±9.05)%], the number of non-compliance with hospital infection prevention per month decreased significantly (person times: 54.00±6.30, 41.08±10.76 vs. 72.08±19.68), and the number of special diagnosis and treatment per month increased significantly (person times: 1 056.67±235.27, 1 361.75±278.48 vs. 722.25±145.96), the rate of etiology submission before antimicrobial treatment [(93.21±3.68)%, (96.59±2.49)% vs. (87.86±5.28)%] and deep vein thrombosis (DVT) prevention rate [(91.13±6.36)%, (96.23±2.99)% vs. (85.58±7.68)%] were significantly improved, and all the differences were statistically significant (all P < 0.05). All medical records in the three years were Grade A, but the average scores in 2018 and 2019 were higher than those in 2017 (96.82±2.84, 96.73±2.94 vs. 93.70±3.33, both P < 0.01). Compared with 2018, the incidence of VAP, the rate of etiology submission before antimicrobial treatment, the DVT prevention rate, and the standardized mortality rate in 2019 were further improved, and the number of non-compliance with hospital infection prevention per month decreased and the number of special diagnosis and treatment per month increased, and the differences were statistically significant (all P < 0.05). The application of quality control Checklist in intensive care unit can build an effective quality control system, reduce the incidence of three-tube infection, standardized mortality and length of ICU stay, improve the quality control awareness and execution of medical staff, and promote the improvement of medical quality.

The national rate of intensive care units-acquired infections, one-year retrospective study in Iran

BackgroundHospital-acquired infections (HAIs) in intensive care units (ICUs) are among the avoidable morbidity and mortality causes. This study aimed at investigating the rate of ICU-acquired infections (ICU-AIs) in Iran.MethodsFor the purpose of this multi-center study, the rate of ICU-AIs calculated based on the data collected through Iranian nosocomial infections surveillance system and hospital information system. The data expanded based on 12 months of the year (13,632 records in terms of “hospital-ward-month”), and then, the last observation carried forward method was used to replace the missing data.ResultsThe mean (standard deviation) age of 52,276 patients with HAIs in the ICUs was 47.37 (30.78) years. The overall rate of ICU-AIs was 96.61 per 1000 patients and 16.82 per 1000 patient-days in Iran’s hospitals. The three main HAIs in the general ICUs were ventilator-associated events (VAE), urinary tract infection (UTI), and pneumonia events & lower respiratory tract infection (PNEU & LRI) infections. The three main HAIs in the internal and surgical ICUs were VAE, UTI, and bloodstream infections/surgical site infections (BSI/SSI). The most prevalent HAIs were BSI, PNEU & LRI and eye, ear, nose, throat, or mouth (EENT) infections in the neonatal ICU and PNEU & LRI, VAE, and BSI in the PICU. Device, catheter, and ventilator-associated infections accounted for 60.96, 18.56, and 39.83% of ICU-AIs, respectively. The ventilator-associated infection rate was 26.29 per 1000 ventilator-days. Based on the Pabon Lasso model, the lowest rates of ICU-AIs (66.95 per 1000 patients and 15.19 patient-days) observed in zone III, the efficient area.ConclusionsHAIs are common in the internal ICU wards. In fact, VAE and ventilator-related infections are more prevalent in Iran. HAIs in the ICUs leads to an increased risk of ICU-related mortality. Therefore, to reduce ICU-AIs, the specific and trained personnel must be responsible for the use of the devices (catheter use and ventilators), avoid over use of catheterization when possible, and remove catheters earlier.

The role of antimicrobial resistance on long-term mortality and quality of life in critically ill patients: a prospective longitudinal 2-year study

BackgroundIn the recent era, antimicrobial resistance has been identified as one of the most important threats to human health worldwide. The rapid emergence of antibiotic-resistant pathogens (ABRP) in the modern intensive care unit (ICU) also represents a “nightmare scenario” with unknown clinical consequences. In the Greek ICU, in particular, gram negative ABRPs are now considered endemic. However, the possible longitudinal impact of ABRPs on long-term outcomes of ICU patients has not yet been determined.MethodsIn this two-year (January 2014-December 2015) single-centre observational longitudinal study, 351 non-neurocritical ICU patients ≥ 18 year-old were enrolled. Patients’ demographic, clinical and outcome data were prospectively collected. Quality-adjusted life years (QALY) were calculated at 6, 12, 18 and 24 months after ICU admission.ResultsFifty-eight patients developed infections due to ABRP (ABRP group), 57 due to non-ABRP (non-ABRP group), and 236 demonstrated no infection (no-infection group) while in ICU. Multiple regression analysis revealed that multiple organ dysfunction syndrome score (OR: 0.676, 95%CI 0.584–0.782; P < 0.001) and continuous renal replacement therapy (OR: 4.453, 95%CI 1.805–10.982; P = 0.001) were the only independent determinants for ABRP infections in ICU. Intra-ICU, 90-day and 2-year mortality was 27.9%, 52.4% and 61.5%, respectively. Compared to the non-ABRP and no-infection group, the ABRP group demonstrated increased intra-ICU, 90-day and 2-year mortality (P ≤ 0.022), worse 2-year survival rates in ICU patients overall and ICU survivor subset (Log-rank test, P ≤ 0.046), and poorer progress over time in 2-year QALY kinetics in ICU population overall, ICU survivor and 2-year survivor subgroups (P ≤ 0.013). ABRP group was further divided into multi-drug and extensively-drug resistant subgroups [MDR (n = 34) / XDR (n = 24), respectively]. Compared to MDR subgroup, the XDR subgroup demonstrated increased ICU, 90-day and 2-year mortality (P ≤ 0.031), but similar 90-day and 2-year QALYs (P ≥ 0.549). ABRP infections overall (HR = 1.778, 95% CI 1.166–2.711; P = 0.008), as well as XDR [HR = 1.889, 95% CI 1.075–3.320; P = 0.027) but not MDR pathogens, were independently associated with 2-year mortality, after adjusting for several covariates of critical illness.ConclusionsThe present study may suggest a significant association between ABRP (especially XDR) infections in ICU and increased mortality and inability rates for a prolonged period post-discharge that requires further attention in larger-scale studies.

Characteristic of Extended Spectrum β-Lactamase-Producing Enterobacteriaceae from Fecal Carriage Isolates of Intensive Care Unit Patients at Sanglah Hospital, Bali, Indonesia

Background: The increasing Extended-Spectrum β-Lactamases-producing Enterobacteriaceae (ESBL-PE) infections in the Intensive Care Unit (ICU) needs an early warning system for the detection of these bacteria. The ESBL-PE fecal carriage analysis is a screening method that can be used to detect and characterize these bacteria. Furthermore, it aids in assessing an ICU patient’s risk of possible infection and prevent its transmission to the other patients within the period of hospitalization; therefore, enhancing the quality of patient care while alsoreducing morbidity and mortality due to ESBL-PE infection in ICU. Objective: The study aimed to determine the antibiogram and molecular characteristics of ESBL-PE fecal carriage from ICU patients at Sanglah Hospital, Denpasar, Bali. Methods: This cross-sectional retrospective study involved 30 stored-bacterial isolates of ESBL-PE from a rectal swab of ICU patients who had just been admitted to the ICU of Sanglah General Hospital from February to March 2019, consecutively. The identification and antimicrobial susceptibility test of the isolates were conducted using Vitek-2 Compact (bioMérieux®, Marcy-l'Etoile, France), while genotype identification was conducted using PCR for the detection of blaTEM, blaSHV, blaCTX-M genes. Results: Thirty bacterial isolates were identified as Escherichia coli (24/30) and Klebsiella spp. (6/30) and detected as ESBL-producing isolates by Vitek-2 Compact. All isolates were susceptible to piperacillin-tazobactam, meropenem, and amikacin. Twenty-two (73.3%) isolates harbored ESBLs blaTEM, blaSHV, blaCTX-M genes, either individually or in combination. Most of the isolates had the combination of ESBL genes. About 20% (6/30) of isolates had a combination of blaTEM and blaCTX-M, while 10% (3/30) of them possessed all of the three genes detected in this study. Only 3.3% (1/30) of the isolates had each combination of blaTEM and blaSHV as well as blaSHV and blaCTX-M. Meanwhile, 16.7% (5/30) of the isolates were detected to have each single gene of blaCTX-M or blaTEM, and only one isolate (3.3%) harbored blaSHV. Conclusion: High prevalence of blaTEM, blaSHV, and blaCTX-M ESBL genes harbored by fecal flora of patients who had just been admitted in ICU give rise to the risk for transmission among critically ill patients in ICU. Fecal screening of ESBL-PE besides infection control can be considered for those patients who have a risk factor of ESBL-PE colonization before they are being admitted to the ICU.

Quantity of Antibiotic Use and Resistance Pattern of Gut Normal Flora Escherichia coli at Intensive Care Unit and Tropic Infection Ward, Dr Soetomo Hospital, Surabaya, Indonesia

Resistance to antibiotics is increasing worldwide, including in Indonesia. The use of antibiotics is the most common cause of microorganism resistance. Individuals who received antibiotic therapy impacton changes of normal micro-flora resistance through selective pressure. This study aims to analyze the relationship of the quantity of antibiotic use with the pattern of resistance of gut normal flora Escherichia coliamong patients in Intensive Care Unit (ICU) and Tropic Infection Ward, Dr. Soetomo Hospital, Surabaya. This study was cross-sectional design with 64 samples (32 the ICU and 32 in Tropic Infection Ward). The total sample were collected for three Months. Identification of intestinal microflora was done with McConkey differential selective medium, followed by IMViC biochemical test, and sensitivity test by antibiotic disc diffusion method. Data were analyzed with Chi square test and Fisher'sExact test. There was no significant difference (p=0.441) in the quantity of antibiotic use between ICU and Tropic Infection Ward. There was no significant difference (p&gt;0.05) in normal intestinal flora Escherichia coli resistance pattern between Tropic Infection Ward and ICU against12 types of antibiotics. Ceftriaxone was the most widely used antibiotic in the Tropic Infection Ward of 54 DDD and ICU of 100 DDD. The highest percentage of intestinal flora Escherichia coli resistance at the ICU was ceftriaxone as manyas 18 (56.3%) and at Tropic Infection Ward on ciprofloxacin and levofloxacin 20 (62.5%). The other study in Primary Health center, showed that theresistance rates of both wards were significantly different as compared to intestinal flora of patients in primary health center (p &lt;0.001), in whichthe use of antibiotics in primary health center was also lower (1.6 DDD). There was no significant difference (p&gt;0.05) The pattern of bacterial resistance between patient with and without antibiotic use at Tropic Infection Ward and ICU Conclusion: the quantity of antibiotic use was not significantly different against resistnt gut flora between patients in ICU and Tropic Infection ward. The pattern of bacterial resistance between patient with and without antibiotic use was also not significantly different.